Basic OFDM and PHY-layer specifications of the described system.
\r\n\t
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He also holds two PhDs in Mathematics and Prognostics from the Lebanese University, Lebanon, and Aix-Marseille University, France. Dr. Abou Jaoudé's broad research interests are in the field of applied mathematics. 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In this context, the signal processing community has adopted MATLAB as a flexible modelling, simulating and testing software development environment. MATLAB includes numerous toolboxes, open-source code and pre-compiled libraries, which facilitate the design of complex systems using high-level models and provides the means for rapid verification of signal processing algorithms and systems in a user-controlled environment. The growing number of its add-on features allows MATLAB to fill the gap between these high-level models and the physical implementation of systems; e.g., a real-time Field Programmable Array (FPGA)-based prototype. Moreover, the functionality of MATLAB is significantly extended with the use of Simulink [1], which serves as a schematic-entry design and programming environment. The integration of the System Generator blockset of Xilinx [2] to Simulink and the direct linking of the latter with the Xilinx FPGA-design toolchain enriches the target use-cases of the software. This approach allows the creation of FPGA binary executables from high-level models. MATLAB is also one of the most popular software-modelling environments, whose functionality is commonly interfaced nowadays with instruments to provide connectivity, control and programming solutions for rapid prototyping and testing. In fact, MATLAB scripts are increasingly used to program a wide variety of testing, signal generation and signal analysis hardware instruments. Thus, the programming versatility of MATLAB allows it to be used as a key software component in complex testbeds, which comprise a multitude of software programming interfaces and heterogeneous hardware instruments. The role of such testbeds is crucial because they enable the prototyping and validation of advanced research concepts under realistic conditions, providing at the same time a detailed account of hardware requirements and implementation feasibility.
The present chapter aims at describing how MATLAB can be used as a design and verification tool in the different phases of migrating a high-level model to a real-time hardware prototype, using as a case study the implementation of a real-life wireless communication system. The chapter proposes a generic design methodology and, finally, provides a practical case study related to the implementation of a real-time Multiple Input Multiple Output (MIMO) mobile WiMAX (i.e., IEEE 802.16e) system [3, 4].
Real-time system-prototyping using FPGA devices is a painstaking and time-consuming process that goes beyond a controlled computer simulation. In this context, MATLAB is having a manifold contribution as a design and validation tool. In order to successfully leverage the advices, techniques and design methodology, it is required to define the specific development scenarios that have to be considered by digital design developers.
It is important to note that this chapter will not cover model-based, MATLAB-to-Register Transfer Level (RTL) design flows (e.g., by using the Simulink and System Generator tools). Adversely, a custom-code programming strategy will be followed, where the user carefully designs each component of the system and takes into account the constraints of real-world hardware and signals. Our focus is to unveil the key role that MATLAB plays when the design objective is the creation of custom Hardware Description Language (HDL) code (e.g., Very High Speed Integrated Circuit - VHSIC - HDL, VHDL) that targets high-performance wireless communication prototypes. In fact, converting a MATLAB model into a working VHDL code for such FPGA-based prototypes requires a considerable effort. Although the automatic MATLAB-to-HDL conversion is becoming increasingly popular, its efficiency is still under scrutiny by the FPGA designer community [5]. The main concern raised is that the MATLAB-to-HDL automatic conversion is not yet mature enough to cover the needs of processing demanding FPGA-based systems, where performance and constraints imposed by the size and the embedded resources of the target device, may occasionally render this option unsuitable. The direct MATLAB-to-HDL translation accepts only very limited constructs that can be automatically translated into hardware [6]. Other approaches, involving an intermediate stage of Matlab-to-C code generation, can be used as an alternative. The produced C code is consequently processed by C-to-HDL synthesis tools subject to certain modifications (i.e., the generated C code contains unsupported constructs that prevent a seamless translation to HDL code).
As already mentioned, the automatically-produced HDL code is usually not as efficient as the custom hand-written HDL one. This difference is becoming a significant factor to be considered when stringent FPGA area utilization conditions apply or when performance and achievable clock frequencies do matter [7]. The modern FPGA devices and the corresponding synthesis tools seem to address the issues mentioned before. This is due to the extraordinary capacities of the new devices in terms of embedded resources (logic, memories dedicated Digital Signal Processing - DSP - logic) and the significant improvement of the FPGA design and implementation tools. However, it is anticipated that the FPGA-based prototyping and the respective FPGA design tools are due to be challenged soon by the constantly aggregated performance requirements and algorithmic complexity of next generation wireless communication systems. Therefore, an incremental design approach based on custom-HDL coding is once again expected to be the most reliable solution to sort out well-established digital design problems (i.e., dense FPGA designs with compute intensive requirements and hard to achieve timing constraints [8]). The only difference is that the complexity of such problems is scaled because of the massive amount of FPGA logic, memories and embedded components that need to be addressed. Custom HDL coding provides the means to control every important aspect of the design, which requires an in-depth knowledge of the low-level RTL architecture.
The design and validation principles presented herein could be applied in many digital-design cases. Nonetheless, the application-domain will be narrowed down to well-characterized case studies, in order to help the reader to assimilate the described concepts, methodology and examples. Thus, this chapter explores the uses of MATLAB when the custom-HDL design flow is employed for the prototyping of systems with design and implementation requirements similar to the ones described next:
I Real-time system prototyping
II Offline system prototyping
As it has been described in the previous section, system-prototyping involving FPGAs and other specialized hardware equipment is subject to non idealities and certain signal impairments, which are not usually considered in a computer-based simulation (i.e., high-level models). Moreover, the heterogeneous hardware boards used for the prototyping of high performance real-time systems impose a series of hardware constraints in terms of processing capacity, available memory, maximum achievable clock frequency, I/O interfacing, DAC/ADC resolution and power consumption.
In the following sections, it will be shown how the previously described operating conditions and constraints can be either modelled or considered in MATLAB throughout the design and implementation process. The goal is to demonstrate the plural contribution of MATLAB in the FPGA-based rapid prototyping, beyond its well-established function as a high-level modelling tool:
I
Account for system-wide signal impairments introduced by the complete hardware processing chain (baseband, RF and channel).
Identify themost critical signal-processing blocks that play a definitive role in system’s performance and computational load.
Select the optimum algorithms satisfying a trade-off between resulting precision, hardware specifications and implementation complexity (e.g., required FPGA-re-sources).
Adjust the data quantization at the different baseband processing stages.
Account for the specifications, operation and functionality of the memory and control planes.
II
III
IV
The process of mapping a high-level MATLAB model to HDL logic and consequently to FPGA-based hardware is a complex and costly process, where many crucial decisions need to be taken. These include among others the environment where the system will be deployed, the expected operating conditions and the target implementation technology. MATLAB can be easily interfaced with third-party EDA tools and hardware equipment [14], a fact that facilitates this decision-making process. Additionally, the use of MATLAB in all prototyping-stages makes easier the interaction between different design-teams by providing a common working framework.
The design, implementation and on-board testing of high performance wireless communication systems under realistic conditions implies an undertaking with high stakes. Thus, the adoption of a well-structured design, implementation and validation methodology is a paramount requirement. The aim of this section is to offer an insight to a robust, yet generic, methodology, which demonstrates the contribution of MATLAB during the FPGA prototyping stages using a custom HDL design entry. The effectiveness of the proposed methodology is analysed using a practical case study, which involves the prototyping of a real-time MIMO mobile WiMAX system.
A fundamental guideline that applies throughout the design, implementation and on-board validation phases is a multi-stage testing strategy (Fig. 1). This starts from a baseband-to-baseband system testing under ideal conditions. The latter is performed both in simulation-time (MATLAB and consequently HDL-based) and at real-time in the target hardware platform using a direct connection of the transmitter and receiver. The scenario can then be augmented by adding the conversion stages (i.e., ADC and DAC). This implies re-simulating the MATLAB and HDL code and finally validate the FPGA implementation in real-time (i.e., connecting via a cable the output of the DAC device with the input of the ADC device). The final testing stage can be divided in two sub-stages; the first includes a direct cable connection of the RF front-ends and the second the inclusion of channel either by using antennas or a real-time channel emulator (both sub-stages can be priorly simulated in MATLAB and in HDL). This incremental testing approach allows the step-by-step characterization of the system.
Multi-stage testing strategy
The development of a processing demanding real-time wireless communication system requires a wide range of skills, resources and time. A commonly accepted commencing point is the design of a baseline version of the target system, which complies with the following design requirements:
Once the baseline system-model is designed and validated, the proposed methodology can adjust the granularity of the system by accommodating more advanced features.
This section gives the details of the proposed design methodology, which is depicted in Fig. 2.
Proposed design, implementation and validation methodology
I
II The described functionality is available, for instance, on the VSGs provided by Agilent (http://www.agilent.com) or Rode & Schwarz (http://www.rohde-schwarz.com). Further information on other hardware manufacturers supporting MATLAB communication may be found in http://www.mathworks.com/products/instrument/hardware.
III
IV
V
It is useful to mention that specific floating-point arithmetic libraries, Intellectual Property (IP) cores, embedded microprocessors and other dedicated processing components can be used in FPGA devices to serve the needs of particular applications that require this type of arithmetic operations [15, 16]
VII
The end of a major design cycle is reached when the performance of the RTL prototype is finally validated on real-time hardware and does not require any further modifications. This gives the opportunity to the system designer to introduce additional features by iterating over the previously described methodology. The proposed incremental design approach implies a relative low effort to augment the features of a working prototype. This is mainly due to the fact that a modular and reusable code is already available, while at the same time the critical parts of the design and the system bottlenecks are well defined. The same applies to the hardware platform which is already thoroughly studied and characterized.
This final section presents a practical case study of the manifold contribution of MATLAB throughout the entire design, development and prototyping stages of a real-time mobile WiMAX system [3, 4]. The use-cases focus on the Single Input Single Output (SISO) configuration of the system[17] that features one antenna at the transmitter and receiver sides respectively. Taking as an exemplar basis the development of the SISO system, the presented incremental design methodology can be reused to develop the MIMO system, which however is not covered in this chapter. The main specifications of the target system are summarized in table 1.
Parameter | Value |
Wireless telecommunication standard Antenna schemes: SISO, SIMO, MIMO RF band (GHz) IF (MHz) Channel bandwidth (MHz) Baseband sampling frequency (MHz) ADC sampling frequency (MHz) Cyclic prefix (samples) Modulation type Duplex mode FFT size OFDM symbols per frame Supported permutation schemes Diversity scheme (2x2 MIMO) | IEEE 802.16e-2005 1x1, 1x2, 2x2 2.595 156.8 20 22.4 89.6 512 (1/4 of the symbol) QPSK TDD 2048 48 PUSC and AMC (DL) Matrix-A (Alamouti) |
Basic OFDM and PHY-layer specifications of the described system.
The GEDOMIS® testbed (see Fig. 3), was used to prototype and validate the system described in this chapter. GEDOMIS® features multiple APIs, dedicated signal analysis software tools and a heterogeneous hardware setup. The latter comprises signal generation equipment, multi-channel signal conversion boards, a real-time radio channel emulator and FPGA-based baseband signal processing boards [18]. The examples detailed in the remaining of the chapter do follow the previously proposed multi-stage testing strategy (see Fig. 1) and do not always require the use of the full set-up of this testbed.
The GEDOMIS® testbed setup.
Basic architecture of the SISO transmitter and receiver systems.
Fig. 4 shows a simplified functional block diagram of the SISO mobile WiMAX system. Taking as a reference the design methodology presented before, this section gives an example of the MATLAB usage in each prototyping stage.
I
Location of the pilot symbols in the PUSC permutation scheme.
Agilent Signal Studio Toolkit configuration: ADC sampling frequency.
The principal parameters that need to be defined by the user to properly conduct the hardware-validation of the ideal transmitter, are the DAC sampling frequency, the desired RF band and the names of the variables of the MATLAB-generated file containing the I/Q components. The VSG is then able to apply the required IF-to-RF upconversion and provide a realistic RF signal.
Agilent Signal Studio Toolkit configuration: RF band.
Agilent Signal Studio Toolkit configuration: loading of the I/Q components of the MATLAB model of the ideal transmitter.
As it can be observed, the deviation between the ideal and the estimated channel is notable when using a linear interpolation, which accounts only for the two closest pilots for each subcarrier. On the contrary, the obtained results are better when applying a quadratic interpolation approach which uses three neighbouring pilots in the calculations.
Using a RF-to-RF cable connection data can be captured at the receiver baseband boards. This provides realistic test vectors that will be later used to design and debug the MATLAB model of the receiver.
III
where
The modelling of the receiver is based on WiMAX-defined processing functions (e.g., permutation of the subcarriers) and common signal processing operations (e.g., FFT). MATLAB provides the ideal modelling environment to compare the performance tradeoffs of different signal processing algorithms. As an example, Fig. 9 shows the comparison of a linear and a quadratic interpolation for a pilot-based channel estimation algorithm. This type of algorithm design and benchmarking allows the designer to make early decisions tailored for the specifications of the target hardware platform. Nonetheless, the validation of the critical parts of the receiver, such as the synchronization or the channel estimation requires a signal model that is closer to real-world conditions (i.e., accounting for impairments and hardware constraints). Once this modified version of the received signal is available, the designer is able to make a precise selection of algorithms that are suitable for the anticipated channel conditions and the characteristics of the target hardware platform.
IV
where
where
VI
Utilization of the fdatool to design a FIR low-pass filter.
Exporting the FIR low-pass filter coefficients.
Fig. 12 shows how the digital filtering stage of the Xilinx DDC IP can be configured using the coefficients file produced in MATLAB.
Configuration of the digital filtering stage of the DDC IP core using the MATLAB-generated coefficients.
Example 3.6 covers the main steps required to verify the behaviour and performance of an independent processing block (built using HDL code), by interfacing it with the MATLAB model of the remaining components of the system. The one-to-one comparison of the HDL model with its MATLAB counterpart provides a reliable analysis of the implementation losses (i.e., fixed-point versus floating point) and facilitates the selection of an optimum quantization (i.e., trade-off between precision and computational complexity, optimization of the bit-alignment and truncation operations).
The message that this chapter intended to convey is that MATLAB is having nowadays a diverse usage that goes beyond its initial conception as a generic mathematic modeling environment. Its functionality is valuable because it can be directly interfaced with various third party software/hardware design tools and instruments. Moreover, MATLAB has a multi-level contribution in the conceptual high-level modeling of a system, and it is an ideal candidate for rapid prototyping, since it can emulate the baseband signal processing when used in instrumentation-based offline testbeds. MATLAB is also used to emulate real-life hardware constraints and it can be adapted to serve HDL co-simulations. Its role is particularly important for the prototyping of bit-intensive systems such as the PHY-layer of modern wireless communication systems. This chapter proposed a comprehensive design methodology and quoted indicative examples, in order to highlight the previously mentioned benefits of MATLAB. In concrete, this chapter provided a guideline for the use of MATLAB during the prototyping of a FPGA-based real-time transceiver based on the mobile WiMAX standard. Finally, its critical contribution was contemplated by quoting extracts of the source code of the previously mentioned system prototyping phases.
The research leading to the published work was partially supported by the European Commission under projects BuNGee (248267) and BeFEMTO (248523); by the Catalan Government under grant 2009 SGR 891; and by the Spanish Ministry of Economy and Competitiveness under projects TEC2011-29006-C03-01 (GRE3N-PHY) and TEC2011-29006-C03-02 (GRE3N-LINK-MAC).
For mobile environments, current TRLs use traditional TRLs that drop lock at low signal-to-noise ratio (SNR); then, experience long hang up time while reacquiring timing pulses. A potential solution is to introduce RWF into the TRL to reduce drops, and also to shorten reacquisition time. This chapter focuses on random walk model for timing jitter and TRL using RWF [1].
A mobile SATCOM system includes a mobile transmitter, a satellite transponder and a ground terminal receiver as shown in Figure 1. The ground terminal receiver receives an RF signal and demodulates the RF signal to generate a baseband (BB) signal waveform containing a self-clocking binary bit stream of digital data. The generated BB signal waveform is tracked by a TRL. The TRL tracks bit timing of the BB signal waveform and generates timing pulses. The timing pulses are then used in a receiver’s data detector for sampling the BB signal waveform at the bit intervals, Tb’s, for reconstructing the digital bit stream from the received BB signal waveform. The received BB signal waveform is normally distorted by channel noise causing poorly generated timing pulses and hence poor bit timing recovery leading to poor data bit detection and Bit Error Rate (BER) performance, and hence Symbol Error Rate1 (SER) degradation. When the TRL loses track, the received binary bit stream is no longer detected. In current communication systems, the received binary bit stream is recovered using traditional TRLs that are subject to bit timing lock drop in the presence of channel noise and fading effects in mobile environment.
Mobile satellite communication system.
The traditional TRLs use Early-and-Late Gates (ELG), Digital Transition Tracking (DTT), Filter-and-Square (FaS), and Delay and-Multiply (DaM) techniques [2, 3, 4, 5, 6, 7, 8, 9, 10, 11]. In bit timing detection, the binary bit stream is self-clocking and the timing differential dithers about correct bit timing in the TRLs. For mobile environments (see Figure 1), these TRLs drop lock when the timing Loop Signal-to-Noise Ratio (LSNR) is smaller than a threshold value or the residual Doppler frequency is larger than the operating loop bandwidth. After dropping lock, the traditional TRLs experience long hang up time due to the need to reacquire the timing pulses. RWFs have been used for decades in various applications [3, 4, 5, 6, 7, 8, 9, 10, 11].
In the past, RWFs have been applied to digital phase synchronization systems. RWFs have been theoretically applied to carrier phase detection where differentials between local references and transmitter carriers results in a phase correction that is unidirectional and constantly circular over 360 degrees [3, 4, 5, 6]. Although used for decades, RWFs have not been adapted to improving the bit clock locking stability in TRLs. This chapter discusses the RWF based on the Brownian motion process for recovering bit timing information of a binary data stream. The chapter is organized as follow:
Section 2 presents related works, including PLL modeling using random walk theory2, Cramér–Rao bound, Square-TRL Using Digital RWF and Advanced TRL Using RWF.
Section 3 discusses mathematical modeling of timing jitter using random walk process and Cramér–Rao bound for timing jitter.
Section 4 describes in detail the TRL using RWF, including software implementation and performance of RWF-TRL for 8-PSK communication system.
Section 5 discusses the results and provides a conclusion of the chapter.
Section 2 describes existing publications related to RWF concept. Section 2.1 presents works related to performance modeling of PLL using random walk theory, Section 2.2 describes the Cramer-Rao Lower Bound that can be used to evaluate the best TRL performance in terms of variance, Section 2.3 discusses the operation and performance of square-TRL using digital RWF and Section 2.4 describes an advanced TRL using RWF approach.
This subsection describes the use of random walk theory on the modeling of all digital PLL, the first-order Bang-Bang PLL and approximation of PLL phase error variance.
One of the first uses of Random Walk Theory on modeling of phase-locked loop (PLL) was from [4] where the performance of an All-Digital PLL (ADPLL) was analyzed. Here a simple ADPLL for a Non-Return-to-Zero (NRZ) square wave input waveform is shown below in Figure 2, with an application to track the sub-carrier frequency for a satellite command system.
Block diagram of timing loop update [
In this figure, the square wave signal y(t) is first low pass filtered with a bandwidth of W. The Analog-to-Digital Converter (ADC) will sample at Nyquist rate of 2 W so that there will be 2 W/fs per period where fs is the square wave frequency. The phase detector block consists of two elements: (1) the Transition Sampler Selector (TSS) which will output ±A at each square wave transition, since the sampling error shown as the interval
In the presence of white noise with power density
Reduced state transition diagram showing a random walk [
The above Markov chain is referred to as a “random walk” with the transition probabilities
Where the parameter
For this ADPLL, there are three major performance analysis results using the random walk model: the steady-state probabilities, timing error variance, and mean first slip time.
The steady-state probabilities
The timing error variance
It is observed from Eq. (6) that as SNR increases, the timing error
Since it’s desirable to keep the timing error small at all times, a useful performance metrics is the Mean First Slip Time (MFST)
The Bang-Bang Phase-Locked Loop (BBPLL) has been widely used for Clock and Data Recovery (CDR) in serial data links and in digital frequency synthesis [5]. A common feature in BBPLL is the Binary Phase Detector (BPD) that quantizes the phase difference between the input data and Voltage-Controlled Oscillator (VCO) clock by generating the early/late phase error information for the Loop Filter (LF). A model for the first-order bang-bang PLL is shown in Figure 4(a) where the BPD is represented as a sampler with input as a reference clock and sampled by a VCO. The BBPLL operation in the phase-domain can be summarized by the discrete-time model in Figure 4(b).
(a) Model block diagram for the first-order BBPLL [
In above figures, the behavior of the phase error
and corresponding timing jitter is defined as in Eq. (9):
PLL design questions are often centered around how much jitter is transferred from the reference clock, how much jitter is generated by the loop itself, and what is the minimum Root Mean Square (RMS) timing jitter. The first two can be answered by examining the static timing offset error derived in [5]. A static timing offset is a significant problem in a BBPLL-based CDR circuit because it results in the incoming data no longer sampled at the center of the data eye, thus increasing the bit error rate. A closed form expression for static timing offset error is shown in Eq. (10) below.
Where
and
As shown in Eq. (10), the behavior of the static timing offset error vs. frequency offset
The above third question can be answered by examining the variance of timing jitter error derived in [5]. A closed form expression for timing jitter error variance is shown in Eq. (13):
where
The plot of the timing jitter error standard deviation
RMS timing jitter error vs. SNR [
Finally, an important parameter is the optimal bang-bang phase step K to achieve a minimum timing jitter variance. The expression for the optimum phase step is:
where
Approximations for the expression of phase error variance due to nonwhite frequency noise with finite loop propagation delay have been created by Norimatsu and Ishida [7]. The PLL phase error
Where
In information theory and statistical analysis, the Cramer-Rao Lower Bound (CRLB) is often used to evaluate the best performance in terms of variance of any unbiased parameter estimator, whether the parameter to be estimated is random or deterministic but unknown. An unbiased estimator that achieves this lower bound is said to be statistically efficient, achieves the lowest possible mean squared error among all unbiased methods and is therefore called the minimum variance unbiased estimator (MVUE). However, there is no guarantee that an estimator exists that will achieve the CRLB. This may occur if an estimator exists, but its variance is strictly greater than the CRLB.
Given that
Where
Where
Where the deterministic FIM part is:
and the a-priori FIM for the random parameter estimator is:
For each problem, the appropriate FIM will need to be calculated accordingly. The inversion of the composite FIM will result in the CRLB.
Digital filter with Square-TRL (DF-STRL) has been proposed and discussed in [6]. Due to its simplicity and hang-up-free filtering features, DF-STRL has been used by satellite ground terminals for Pulse Amplitude Modulation (PAM), Quadrature Amplitude Modulation (QAM) and Phase Shift-Keying (PSK) waveforms operating at high data rates. A typical DF-STRL architecture is shown in Figure 6, where the integer N is selected to be 4.
Digital filter and square-TRL (DF-STRL) [
If one assumes that the mean of the timing estimate
Reference 6 shows that the timing jitter,
Timing jitter generated by (Signal x Signal)–This term is referred to as self-noise term:
Timing jitter generated by (Signal x Noise)–This term is referred to as Squaring Loss (SL) term:
Timing jitter generated by (Noise x Noise):
Mathematically, the timing jitter,
Analysis shown in [6] showed that the timing estimate
where T is the symbol duration,
Recently, a small team of Aerospace engineers developed an innovative approach to recover the timing information from a received binary data stream [1]. The proposed approach uses:
A “RWF counter” for counting early, nominal and late arrivals of data transition pulses of an input binary data stream
The output of the RWF provides magnitude counts that are compared to a Threshold Value (TV) that when exceeded by the magnitude counts results in a delay adjustment of the generated Adjusted Timing Pulses (ATPs)
The ATPs are eventually catching up with the actual timing clocks
When ATPs caught up, no delay adjustment will be made allowing ATPs to synchronize with the actual bit timing for maintaining bit timing lock
The ATPs are used by a data detector for reliable data detection and reconstruction of the binary bit stream.
With the proposed RWF approach, the threshold value “TV” can be adaptively adjusted for reducing drop lock rates in the presence of changing channel environments. Figure 7 illustrates the proposed RWF approach for timing recovery. Section 4 discusses in depth the proposed RWF implementation approach and presents simulation results for 8PSK Modulator-Demodulator (MODEM).
RWF TRL [
The Wiener process was introduced as a mathematical model of Brownian motion describing a random, but continuous motion of a particle, subjected to the influence of a large number of chaotically moving molecules of the liquid. The simplest model of Brownian motion is a simple symmetric random walk in one dimension (aka random walk) [12]. It also has been shown that Brownian motion with zero drift is the limiting case of random walk [13]. This section describes the mathematical random time walk model for charactering the timing jitter in an Additive White Gaussian Noisy channel and the corresponding Cramér–Rao bound for timing jitter.
References [3, 5] discuss a Random Time Walk (RTW) model, which can be captured in the following Figure 8. The RTW model includes a binary data stream
Random time walk model [
The RTW model used for the modeling of timing jitter and performance analysis shown in Figure 8 [3], can be expressed mathematically as:
where T is the bit period,
where
The RTW model described in Section 3.1 will be used for the CRLB derivation. To eliminate out-of-band noise at the receiver, the received waveform
Where
For the CRLB computation, the parameter vector
represent the total FIM so that the joint estimation is decoupled, and to get the CRLB on timing estimation it is sufficient to evaluate and invert
Where
where
is the stead state value of the CRLB,
and
The CRLB derived applies to timing recovery systems in general. In practice, timing recovery systems usually involve phase locked loops. A traditional PLL is typically used for timing recovery, and the receiver employs a timing-error detector (TED) to arrive at timing-error estimates. For simplicity, a first-order PLL is employed which updates its estimate according to
where
In Figure 9, the steady state CRB and the performance of the trained PLL are plotted for the following system parameters:
Trained PLL and the CRLB [
The most commonly used TRLs in existing wireless and satellite communications systems are DF-STRL, Early-and-Late Gate, Digital Transition Tracking, and Delay-and-Multiply TRLs [6, 9, 10, 11]. For mobile environments, these TRLs drop lock when the loop signal-to-noise ratio (SNR) is smaller than the threshold value SNR or the residual Doppler frequency is larger than the operating loop bandwidth. When “dropped lock”, these timing loops experience a long “hang-up” time due to reacquisition and locking behavior of the timing clock. As discussed in Section 2.3 on the related works for DF-STRL, a form of digital RWF was proposed for use with square TRL. This DF-STRL suffers squaring loss caused by squaring mechanism used by the loop. This section explores the advanced TRL using RWF.
The RWF-TRL concept derived from the following principles:
Principle 1: Input binary signal waveform is compared in time with locally generated and suitably delayed timing pulses to produce lead/lag signals to increment/decrement a timing counter.
Principles 2: When timing counter output exceeds a positive or negative threshold, the delay for timing pulses is adjusted accordingly.
Principle 3: Without timing errors, an appropriately selected threshold value allows the lead and lag signals to cancel out in time, thus retaining the correct timing pulses.
The block diagram, shown in Figure 10, describes the above principles pictorially. The received binary data is a square wave with amplitude varying between +1 and −1 with time duration T in second, which is inversely proportional to the communication data bit rate R in bit per second.
RWF concept for timing recovery.
The major Software Blocks (SWB) required for implementing the above three principles are:
SWB 1: Pulse detection and comparison block converts input baseband digital signal waveform to data transition pulses and compares them to timing pulses to generate lead/lag signals.
SWB 2: RWF counter block generates a running count that is incremented/decremented by the lead/lag signals.
SWB 3: Threshold comparison block generates exceedance signal when magnitude of running count is greater than a selected threshold.
SWB 4: Timing pulse delay adjustment block uses sign of running count to adjust timing pulses when triggered by exceedance signal.
Figure 11 presents a software architecture for implementation of the three principles described in Section 4.1. The threshold value is derived based on a threshold selection process that depends on the channel environment. Either a training sequence or a priori knowledge of the channel propagation conditions may be needed to set the threshold. Alternatively, an algorithm can be provided to adaptively select a threshold value to compensate for channel impairments.
Software architecture of advanced TRL using RWF.
Figure 12 describes the “Pulse Detection and Comparison Block”, or SWB 1. This SWB1 consists of the following functions:
Converts input baseband digital signal waveform to data transition pulses delayed by half of the search window size, W.
Generates timing pulses that are delayed by the adjusted timing pulse delay that is input to the block.
Counts number of data transition pulses that are within W from each successive timing pulse and keep track of the delay of the first data transition pulse.
Calculates lead/lag time of the first data transition pulse as the delay time minus half of the search window size, and lead/lag signal as the sign of the lead/lag time.
Outputs a non-zero lead/lag signal if there is one, and only one, data transition pulse within the search window, thus eliminating much of the noise-caused ambiguity.
SWB 1 implementation of pulse detection and comparison.
Signal Processing Work (SPW) implementation of the proposed RWF TRL for 8-PSK modem is described in Figure 13. The proposed implementation includes the following blocks:
8PSK transmitter block generates signals modulated by sine and cosine waveforms.
AWGN generator block adds Gaussian random noise to the 8PSK signals.
Demodulator with ideal phase tracking converts the 8PSK signals to baseband.
Combination of low pass filter (LPF) and hard-limiter generates a binary data stream from the 8PSK signals.
RWF TRL block generates clock signals (timing pulses).
Sum dump and hold block uses the clock signals to integrate the baseband 8PSK signals.
8PSK detector puts the integrated signals through 8PSK slicer to reconstruct the data stream.
SER estimator compares the original data stream with the reconstructed data stream to detect symbol errors.
Simulation set-up for 8PSK modem with RWF-TRL.
SPW-simulated SER curve with imperfect timing recovery is shown in Figure 14. This SER curve was obtained under the following operational conditions, which is not optimized in terms of search window and threshold value used by the counter:
Back-to-back Modem with no transponder or amplifier in between, i.e., no Amplitude Modulation-to-Amplitude Modulation (AM-AM) and Amplitude Modulation-to-Phase Modulation (AM-PM) distortions.
Carrier frequency: 5000 Hz
Symbol rate: 1000 sps
Number of samples per symbol: 50
Search window size: 10 samples
Threshold for counter: 10 counts
8-PSK symbol error rate simulation with RWF TRL.
For symbol SNR greater than 2 dB, the theoretical SER for 8PSK can be accurately estimated from the following Eq. [9, 10]:
where is
As shown in Figure 14, the simulated SER curve for 8PSK with perfect phase tracking and timing recovery coincides with the theoretical SER curve for 8PSK. Simulated SER curve with imperfect timing (but perfect phase tracking) shows a symbol SNR degradation of about 0.2 dB from the theoretical curve.
Current trends in mobile communications will be impacted from operational environment, many near-by users and spectrum sharing, expanding amounts of data (such as streaming video), and increased mobility of receivers. As such, there is higher potential to drop lock, and greater impact resulting from traditional recovery times. A proposed solution is to introduce RWF into the TRL to reduce drops, and also shorten reacquisition time. Based on the RWF-TRL simulation results for 8PSK comparing to standard TRLs for similar 8PSK modem, we believe that the proposed loop has the following advantages:
Using adaptable threshold values of the RWF timing loop that is trained for specified operational environments, the “dropped lock” rate is expected to be less
Faster acquisition time due to the adaptable threshold value setting of the RWF timing loop
Can be made to be adaptive to any mobile environment using deep learning and artificial intelligent technology.
All digital and simple to implement
Expandable to accommodate a wide range of modulation schemes, namely, BPSK, QPSK, 16-QAM, 64-QAM, and possible application to continuous phase modulation, e.g., GMSK.
The authors searched for similar SER results for 8PSK Modem to compare with the simulation results presented in Section 4.3, but currently, there are no TRL using RWF available for performance comparison.
As described in Section 4, there are several features associated with RWF approach, including:
Operate at low sampling rate, which means less power consumption.
Provide excellent SER performance
Robust to mobile operational environment due to adaptable feature
Accommodate a wide range of modulation schemes
The potential markets for the proposed RWF filter approach include:
Mobile satellite industry: Mobile satellite terminals, satellite decoders, etc.
Wireless communication industry: Cellular and mobile phone industry.
The authors would like to express their appreciation to their Aerospace’s colleagues and managers for their support and encouragement during the preparation of this chapter. In particular, they want to thank Dr. James Yoh, Mr. John M. Charroux, Dr. Sumer Matsunaga, Dr. Art Dahlin and Mr. Mark Silverman.
Using the data reported in [1], which was performed under The Aerospace IRAD funding in early 2000’s, the authors prepared Sections 2.4 and 4 of this chapter. However, the preparation of this chapter was not funded by The Aerospace Corporation, and it was done by the authors using their own time and thus it does not represent The Aerospace Corporation’s view on the use of RWF-TRL for future mobile satellite systems.
The first author wishes to thank his wife, Thu-Hang Nguyen, for her enormous patience and boundless support during the preparation of this chapter.
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\n\nThe Corresponding Author shall obtain written informed consent for publication from people who might recognize themselves or be identified by others (e.g. from case reports or photographs).
\n\n3.4 The Corresponding Author and any Co-Author shall respect confidentiality rights during and after the termination of this Agreement. The information contained in all correspondence and documents as part of the publishing activity between IntechOpen and the Corresponding Author and any Co-Author are confidential and are intended only for the recipient. The contents may not be disclosed publicly and are not intended for unauthorized use or distribution. Any use, disclosure, copying, or distribution is prohibited and may be unlawful.
\n\n4. CORRESPONDING AUTHOR'S WARRANTY
\n\n4.1 The Corresponding Author represents and warrants that the Chapter does not and will not breach any applicable law or the rights of any third party and, specifically, that the Chapter contains no matter that is defamatory or that infringes any literary or proprietary rights, intellectual property rights, or any rights of privacy. The Corresponding Author warrants and represents that: (i) the Chapter is the original work of themselves and any Co-Author and is not copied wholly or substantially from any other work or material or any other source; (ii) the Chapter has not been formally published in any other peer-reviewed journal or in a book or edited collection, and is not under consideration for any such publication; (iii) they themselves and any Co-Author are qualifying persons under section 154 of the Copyright, Designs and Patents Act 1988; (iv) they themselves and any Co-Author have not assigned and will not during the term of this Publication Agreement purport to assign any of the rights granted to IntechOpen under this Publication Agreement; and (v) the rights granted by this Publication Agreement are free from any security interest, option, mortgage, charge or lien.
\n\nThe Corresponding Author also warrants and represents that: (i) they have the full power to enter into this Publication Agreement on their own behalf and on behalf of each Co-Author; and (ii) they have the necessary rights and/or title in and to the Chapter to grant IntechOpen, on behalf of themselves and any Co-Author, the rights and licenses expressed to be granted in this Publication Agreement. If the Chapter was prepared jointly by the Corresponding Author and any Co-Author, the Corresponding Author warrants and represents that: (i) each Co-Author agrees to the submission, license and publication of the Chapter on the terms of this Publication Agreement; and (ii) they have the authority to enter into this Publication Agreement on behalf of and bind each Co-Author. The Corresponding Author shall: (i) ensure each Co-Author complies with all relevant provisions of this Publication Agreement, including those relating to confidentiality, performance and standards, as if a party to this Publication Agreement; and (ii) remain primarily liable for all acts and/or omissions of each such Co-Author.
\n\nThe Corresponding Author agrees to indemnify and hold IntechOpen harmless against all liabilities, costs, expenses, damages and losses and all reasonable legal costs and expenses suffered or incurred by IntechOpen arising out of or in connection with any breach of the aforementioned representations and warranties. This indemnity shall not cover IntechOpen to the extent that a claim under it results from IntechOpen's negligence or willful misconduct.
\n\n4.2 Nothing in this Publication Agreement shall have the effect of excluding or limiting any liability for death or personal injury caused by negligence or any other liability that cannot be excluded or limited by applicable law.
\n\n5. TERMINATION
\n\n5.1 IntechOpen has a right to terminate this Publication Agreement for quality, program, technical or other reasons with immediate effect, including without limitation (i) if the Corresponding Author or any Co-Author commits a material breach of this Publication Agreement; (ii) if the Corresponding Author or any Co-Author (being an individual) is the subject of a bankruptcy petition, application or order; or (iii) if the Corresponding Author or any Co-Author (being a company) commences negotiations with all or any class of its creditors with a view to rescheduling any of its debts, or makes a proposal for or enters into any compromise or arrangement with any of its creditors.
\n\nIn case of termination, IntechOpen will notify the Corresponding Author, in writing, of the decision.
\n\n6. INTECHOPEN’S DUTIES AND RIGHTS
\n\n6.1 Unless prevented from doing so by events outside its reasonable control, IntechOpen, in its discretion, agrees to publish the Chapter attributing it to the Corresponding Author and any Co-Author.
\n\n6.2 IntechOpen has the right to use the Corresponding Author’s and any Co-Author’s names and likeness in connection with scientific dissemination, retrieval, archiving, web hosting and promotion and marketing of the Chapter and has the right to contact the Corresponding Author and any Co-Author until the Chapter is publicly available on any platform owned and/or operated by IntechOpen.
\n\n6.3 IntechOpen is granted the authority to enforce the rights from this Publication Agreement, on behalf of the Corresponding Author and any Co-Author, against third parties (for example in cases of plagiarism or copyright infringements). In respect of any such infringement or suspected infringement of the copyright in the Chapter, IntechOpen shall have absolute discretion in addressing any such infringement which is likely to affect IntechOpen's rights under this Publication Agreement, including issuing and conducting proceedings against the suspected infringer.
\n\n7. MISCELLANEOUS
\n\n7.1 Further Assurance: The Corresponding Author shall and will ensure that any relevant third party (including any Co-Author) shall, execute and deliver whatever further documents or deeds and perform such acts as IntechOpen reasonably requires from time to time for the purpose of giving IntechOpen the full benefit of the provisions of this Publication Agreement.
\n\n7.2 Third Party Rights: A person who is not a party to this Publication Agreement may not enforce any of its provisions under the Contracts (Rights of Third Parties) Act 1999.
\n\n7.3 Entire Agreement: This Publication Agreement constitutes the entire agreement between the parties in relation to its subject matter. It replaces and extinguishes all prior agreements, draft agreements, arrangements, collateral warranties, collateral contracts, statements, assurances, representations and undertakings of any nature made by or on behalf of the parties, whether oral or written, in relation to that subject matter. Each party acknowledges that in entering into this Publication Agreement it has not relied upon any oral or written statements, collateral or other warranties, assurances, representations or undertakings which were made by or on behalf of the other party in relation to the subject matter of this Publication Agreement at any time before its signature (together "Pre-Contractual Statements"), other than those which are set out in this Publication Agreement. Each party hereby waives all rights and remedies which might otherwise be available to it in relation to such Pre-Contractual Statements. Nothing in this clause shall exclude or restrict the liability of either party arising out of its pre-contract fraudulent misrepresentation or fraudulent concealment.
\n\n7.4 Waiver: No failure or delay by a party to exercise any right or remedy provided under this Publication Agreement or by law shall constitute a waiver of that or any other right or remedy, nor shall it preclude or restrict the further exercise of that or any other right or remedy. No single or partial exercise of such right or remedy shall preclude or restrict the further exercise of that or any other right or remedy.
\n\n7.5 Variation: No variation of this Publication Agreement shall be effective unless it is in writing and signed by the parties (or their duly authorized representatives).
\n\n7.6 Severance: If any provision or part-provision of this Publication Agreement is or becomes invalid, illegal or unenforceable, it shall be deemed modified to the minimum extent necessary to make it valid, legal and enforceable. If such modification is not possible, the relevant provision or part-provision shall be deemed deleted.
\n\nAny modification to or deletion of a provision or part-provision under this clause shall not affect the validity and enforceability of the rest of this Publication Agreement.
\n\n7.7 No partnership: Nothing in this Publication Agreement is intended to, or shall be deemed to, establish or create any partnership or joint venture or the relationship of principal and agent or employer and employee between IntechOpen and the Corresponding Author or any Co-Author, nor authorize any party to make or enter into any commitments for or on behalf of any other party.
\n\n7.8 Governing law: This Publication Agreement and any dispute or claim (including non-contractual disputes or claims) arising out of or in connection with it or its subject matter or formation shall be governed by and construed in accordance with the law of England and Wales. The parties submit to the exclusive jurisdiction of the English courts to settle any dispute or claim arising out of or in connection with this Publication Agreement (including any non-contractual disputes or claims).
\n\nLast updated: 2020-11-27
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In general, the pyrolysis types are classified base on heating rate mainly either fast or slow pyrolysis. The characteristic and properties of wood vinegar are primarily influenced by the type of carbonaceous feedstocks as well as the production techniques. Wood vinegar is a complex mixture of polar and non-polar chemicals with various molecular weights and compositions. Its major constituent is water (80–90%). Some physical properties; such as pH, specific gravity, dissolved tar content are, respectively, within the range of 2–4, 1.005–1.016 g/mL, 0.23–0.89% wt, and color, odor and transparency have been reported. In addition, the degree of oBrix was ranged between 1.7 and 6.6. Besides water, the chemical compositions of wood vinegars consisted of acetic acid with the largest component (30.45–70.60 mg.mL−1). A high number of phenol derivatives have been found and those in higher concentrations were 4-propyl-2-methoxyphenol (5–11 mg.mL−1) followed by 2-methylphenol (2–4 mg.mL−1). Wood vinegar has been regarded as a natural product, which claimed to be capable in several fields of application. In agriculture, wood vinegar has been used in vegetable cropping in order to combat disease, pest control, improve growth and fruit quality, seed germination accelerator as well as herbicide. In pharmaceutical and medical applications, it is used for the preparation of detoxification pad while in veterinary and animal production, incorporation of the wood vinegar in feed could promote acidity in large intestine to inhibit growth of enteropathogenic microbes. In food processing, wood vinegar has a characteristic smoke flavor, and also exhibits microbial growth inhibition. In addition, several investigators reported that bio-oil and wood vinegar obtained from fast pyrolysis and carbonization showed a high potential on organic wood preservative. In summary, the wood vinegar prepared from the tropical wood and/or biomass waste is widely beneficial. The chapter attempts to provide essential knowledge relevant to physicochemical characteristics of wood vinegar and its applications.",book:{id:"6370",slug:"tropical-forests-new-edition",title:"Tropical Forests",fullTitle:"Tropical Forests - New Edition"},signatures:"Yongyuth Theapparat, Ausa Chandumpai and Damrongsak\nFaroongsarng",authors:[{id:"219997",title:"Dr.",name:"Yongyuth",middleName:null,surname:"Theapparat",slug:"yongyuth-theapparat",fullName:"Yongyuth Theapparat"},{id:"226821",title:"Dr.",name:"Ausa",middleName:null,surname:"Chandumpai",slug:"ausa-chandumpai",fullName:"Ausa Chandumpai"},{id:"398427",title:"Dr.",name:"Damrongsak",middleName:null,surname:"Faroongsarng",slug:"damrongsak-faroongsarng",fullName:"Damrongsak Faroongsarng"}]},{id:"66710",doi:"10.5772/intechopen.85804",title:"Deforestation in India: Consequences and Sustainable Solutions",slug:"deforestation-in-india-consequences-and-sustainable-solutions",totalDownloads:2070,totalCrossrefCites:13,totalDimensionsCites:19,abstract:"Deforestation is one of the most pressing environmental issues that the world is facing currently. It is the conversion of forested land to non-forested land by humans. Deforestation occurs when a land dominated by naturally occurring trees is converted to provide certain services in response to the human demand. The indiscriminate felling of trees has resulted in a reduction of 3.16% in the global forest cover from 1990 to 2015. Although India has seen an increment in the total forest cover of ca. 1%, still there are certain regions in the country that have sought a decrease in the forest cover. The main reasons attributed to the reduction in forest cover are shifting cultivation, rotational felling, other biotic pressures, diversion of forest lands for developmental activities, etc. Continuous illicit cutting of trees has impacted the microclimatic conditions, hydrological cycle, soil quality, biodiversity, etc. of the country, thereby making the country more vulnerable for any uneventful happening. Sustainable forest management practices, alternatives for shifting cultivation, promotion of plantation outside the forest and the usage of certified forest products, etc. are some of the measures that can be adopted to curb the rate of deforestation.",book:{id:"7629",slug:"forest-degradation-around-the-world",title:"Forest Degradation Around the World",fullTitle:"Forest Degradation Around the World"},signatures:"Rima Kumari, Ayan Banerjee, Rahul Kumar, Amit Kumar, Purabi Saikia and Mohammed Latif Khan",authors:[{id:"276688",title:"Prof.",name:"Mohammed Latif",middleName:null,surname:"Khan",slug:"mohammed-latif-khan",fullName:"Mohammed Latif Khan"},{id:"279797",title:"Dr.",name:"Purabi",middleName:null,surname:"Saikia",slug:"purabi-saikia",fullName:"Purabi Saikia"},{id:"279806",title:"MSc.",name:"Rima",middleName:null,surname:"Kumari",slug:"rima-kumari",fullName:"Rima Kumari"},{id:"279807",title:"BSc.",name:"Ayan",middleName:null,surname:"Banerjee",slug:"ayan-banerjee",fullName:"Ayan Banerjee"},{id:"285660",title:"Dr.",name:"Amit",middleName:null,surname:"Kumar",slug:"amit-kumar",fullName:"Amit Kumar"},{id:"285661",title:"Dr.",name:"Rahul",middleName:null,surname:"Kumar",slug:"rahul-kumar",fullName:"Rahul Kumar"}]},{id:"45219",doi:"10.5772/56279",title:"Potential Future Ranges of Tree Species in the Alps",slug:"potential-future-ranges-of-tree-species-in-the-alps",totalDownloads:4918,totalCrossrefCites:3,totalDimensionsCites:16,abstract:null,book:{id:"3403",slug:"management-strategies-to-adapt-alpine-space-forests-to-climate-change-risks",title:"Management Strategies to Adapt Alpine Space Forests to Climate Change Risks",fullTitle:"Management Strategies to Adapt Alpine Space Forests to Climate Change Risks"},signatures:"Niklaus E. Zimmermann, Robert Jandl, Marc Hanewinkel, Georges\nKunstler, Christian Kölling, Patrizia Gasparini, Andrej Breznikar,\nEliane S. Meier, Signe Normand, Ulrich Ulmer, Thomas\nGschwandtner, Holger Veit, Maria Naumann, Wolfgang Falk, Karl\nMellert, Maria Rizzo, Mitja Skudnik and Achilleas Psomas",authors:[{id:"165202",title:"Prof.",name:"Niklaus",middleName:"E.",surname:"Zimmermann",slug:"niklaus-zimmermann",fullName:"Niklaus Zimmermann"}]}],mostDownloadedChaptersLast30Days:[{id:"31959",title:"Structure, Diversity, Threats and Conservation of Tropical Forests",slug:"structure-diversity-threats-and-conservation-of-tropical-forests",totalDownloads:8044,totalCrossrefCites:2,totalDimensionsCites:5,abstract:null,book:{id:"902",slug:"tropical-forests",title:"Tropical Forests",fullTitle:"Tropical Forests"},signatures:"Madhugiri Nageswara-Rao, Jaya R. Soneji and Padmini Sudarshana",authors:[{id:"79318",title:"Dr.",name:"Padmini",middleName:null,surname:"Sudarshana",slug:"padmini-sudarshana",fullName:"Padmini Sudarshana"},{id:"120847",title:"Dr.",name:"Madhugiri",middleName:null,surname:"Nageswara-Rao",slug:"madhugiri-nageswara-rao",fullName:"Madhugiri Nageswara-Rao"},{id:"120848",title:"Dr.",name:"Jaya",middleName:null,surname:"Soneji",slug:"jaya-soneji",fullName:"Jaya Soneji"}]},{id:"66710",title:"Deforestation in India: Consequences and Sustainable Solutions",slug:"deforestation-in-india-consequences-and-sustainable-solutions",totalDownloads:2063,totalCrossrefCites:13,totalDimensionsCites:17,abstract:"Deforestation is one of the most pressing environmental issues that the world is facing currently. It is the conversion of forested land to non-forested land by humans. Deforestation occurs when a land dominated by naturally occurring trees is converted to provide certain services in response to the human demand. The indiscriminate felling of trees has resulted in a reduction of 3.16% in the global forest cover from 1990 to 2015. Although India has seen an increment in the total forest cover of ca. 1%, still there are certain regions in the country that have sought a decrease in the forest cover. The main reasons attributed to the reduction in forest cover are shifting cultivation, rotational felling, other biotic pressures, diversion of forest lands for developmental activities, etc. Continuous illicit cutting of trees has impacted the microclimatic conditions, hydrological cycle, soil quality, biodiversity, etc. of the country, thereby making the country more vulnerable for any uneventful happening. Sustainable forest management practices, alternatives for shifting cultivation, promotion of plantation outside the forest and the usage of certified forest products, etc. are some of the measures that can be adopted to curb the rate of deforestation.",book:{id:"7629",slug:"forest-degradation-around-the-world",title:"Forest Degradation Around the World",fullTitle:"Forest Degradation Around the World"},signatures:"Rima Kumari, Ayan Banerjee, Rahul Kumar, Amit Kumar, Purabi Saikia and Mohammed Latif Khan",authors:[{id:"276688",title:"Prof.",name:"Mohammed Latif",middleName:null,surname:"Khan",slug:"mohammed-latif-khan",fullName:"Mohammed Latif Khan"},{id:"279797",title:"Dr.",name:"Purabi",middleName:null,surname:"Saikia",slug:"purabi-saikia",fullName:"Purabi Saikia"},{id:"279806",title:"MSc.",name:"Rima",middleName:null,surname:"Kumari",slug:"rima-kumari",fullName:"Rima Kumari"},{id:"279807",title:"BSc.",name:"Ayan",middleName:null,surname:"Banerjee",slug:"ayan-banerjee",fullName:"Ayan Banerjee"},{id:"285660",title:"Dr.",name:"Amit",middleName:null,surname:"Kumar",slug:"amit-kumar",fullName:"Amit Kumar"},{id:"285661",title:"Dr.",name:"Rahul",middleName:null,surname:"Kumar",slug:"rahul-kumar",fullName:"Rahul Kumar"}]},{id:"68528",title:"Forest Biodiversity and Deforestation in Bangladesh: The Latest Update",slug:"forest-biodiversity-and-deforestation-in-bangladesh-the-latest-update",totalDownloads:1553,totalCrossrefCites:4,totalDimensionsCites:13,abstract:"Located in the Indo-Burma biodiversity hotspot, Bangladesh is a tropical country in Southeast Asia and a transitional point for flora and fauna between the Indo-Himalayan and Indo-Chinese subregions. About 11% land area (1,429,000 hectares) of the country is covered with four major forest types: mixed-evergreen forests, deciduous forests, mangrove forests, and freshwater swamp forests. Though Bangladesh is a small and densely populated country, it is the home of 1952 species of invertebrates, 653 fish, 50 amphibians, 147 reptiles, 566 birds, and 127 mammalian species of which many of them are globally threatened. We have discussed the latest status of all the major vertebrate groups in this chapter. Thirty-one species of vertebrates have gone extinct from Bangladesh over the last century. Many of the species are facing continuous threat of extinction due to deforestation and degradation of habitat caused by various anthropogenic activities. In this chapter, we are going to discuss about the current management and conservation practices and issues related to the forests and wildlife of Bangladesh.",book:{id:"7629",slug:"forest-degradation-around-the-world",title:"Forest Degradation Around the World",fullTitle:"Forest Degradation Around the World"},signatures:"Ahm Ali Reza and Md. Kamrul Hasan",authors:[{id:"281012",title:"Dr.",name:"Md. Kamrul",middleName:null,surname:"Hasan",slug:"md.-kamrul-hasan",fullName:"Md. Kamrul Hasan"},{id:"302258",title:"Dr.",name:"AHM Ali",middleName:null,surname:"Reza",slug:"ahm-ali-reza",fullName:"AHM Ali Reza"}]},{id:"61747",title:"Physicochemistry and Utilization of Wood Vinegar from Carbonization of Tropical Biomass Waste",slug:"physicochemistry-and-utilization-of-wood-vinegar-from-carbonization-of-tropical-biomass-waste",totalDownloads:2183,totalCrossrefCites:9,totalDimensionsCites:19,abstract:"Pyroligneous acid also called wood vinegar is an aqueous liquid produced from pyrolysis of lignocellulose waste and biomass. In general, the pyrolysis types are classified base on heating rate mainly either fast or slow pyrolysis. The characteristic and properties of wood vinegar are primarily influenced by the type of carbonaceous feedstocks as well as the production techniques. Wood vinegar is a complex mixture of polar and non-polar chemicals with various molecular weights and compositions. Its major constituent is water (80–90%). Some physical properties; such as pH, specific gravity, dissolved tar content are, respectively, within the range of 2–4, 1.005–1.016 g/mL, 0.23–0.89% wt, and color, odor and transparency have been reported. In addition, the degree of oBrix was ranged between 1.7 and 6.6. Besides water, the chemical compositions of wood vinegars consisted of acetic acid with the largest component (30.45–70.60 mg.mL−1). A high number of phenol derivatives have been found and those in higher concentrations were 4-propyl-2-methoxyphenol (5–11 mg.mL−1) followed by 2-methylphenol (2–4 mg.mL−1). Wood vinegar has been regarded as a natural product, which claimed to be capable in several fields of application. In agriculture, wood vinegar has been used in vegetable cropping in order to combat disease, pest control, improve growth and fruit quality, seed germination accelerator as well as herbicide. In pharmaceutical and medical applications, it is used for the preparation of detoxification pad while in veterinary and animal production, incorporation of the wood vinegar in feed could promote acidity in large intestine to inhibit growth of enteropathogenic microbes. In food processing, wood vinegar has a characteristic smoke flavor, and also exhibits microbial growth inhibition. In addition, several investigators reported that bio-oil and wood vinegar obtained from fast pyrolysis and carbonization showed a high potential on organic wood preservative. In summary, the wood vinegar prepared from the tropical wood and/or biomass waste is widely beneficial. The chapter attempts to provide essential knowledge relevant to physicochemical characteristics of wood vinegar and its applications.",book:{id:"6370",slug:"tropical-forests-new-edition",title:"Tropical Forests",fullTitle:"Tropical Forests - New Edition"},signatures:"Yongyuth Theapparat, Ausa Chandumpai and Damrongsak\nFaroongsarng",authors:[{id:"219997",title:"Dr.",name:"Yongyuth",middleName:null,surname:"Theapparat",slug:"yongyuth-theapparat",fullName:"Yongyuth Theapparat"},{id:"226821",title:"Dr.",name:"Ausa",middleName:null,surname:"Chandumpai",slug:"ausa-chandumpai",fullName:"Ausa Chandumpai"},{id:"398427",title:"Dr.",name:"Damrongsak",middleName:null,surname:"Faroongsarng",slug:"damrongsak-faroongsarng",fullName:"Damrongsak Faroongsarng"}]},{id:"54603",title:"Methodological Considerations in the Study of Earthworms in Forest Ecosystems",slug:"methodological-considerations-in-the-study-of-earthworms-in-forest-ecosystems",totalDownloads:1808,totalCrossrefCites:0,totalDimensionsCites:5,abstract:"Decades of studies have shown that soil macrofauna, especially earthworms, play dominant engineering roles in soils, affecting physical, chemical, and biological components of ecosystems. Quantifying these effects would allow crucial improvement in biogeochemical budgets and modeling, predicting response of land use and disturbance, and could be applied to bioremediation efforts. Effective methods of manipulating earthworm communities in the field are needed to accompany laboratory microcosm studies to calculate their net function in natural systems and to isolate specific mechanisms. This chapter reviews laboratory and field methods for enumerating and manipulating earthworm populations, as well as approaches toward quantifying their influences on soil processes and biogeochemical cycling.",book:{id:"5539",slug:"forest-ecology-and-conservation",title:"Forest Ecology and Conservation",fullTitle:"Forest Ecology and Conservation"},signatures:"Dylan Rhea-Fournier and Grizelle González",authors:[{id:"82355",title:"Dr.",name:"Grizelle",middleName:null,surname:"Gonzalez",slug:"grizelle-gonzalez",fullName:"Grizelle Gonzalez"},{id:"194800",title:"M.Sc.",name:"Dylan",middleName:null,surname:"Rhea-Fournier",slug:"dylan-rhea-fournier",fullName:"Dylan Rhea-Fournier"}]}],onlineFirstChaptersFilter:{topicId:"138",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:320,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:133,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:17,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"10",title:"Physiology",doi:"10.5772/intechopen.72796",issn:"2631-8261",scope:"Modern physiology requires a comprehensive understanding of the integration of tissues and organs throughout the mammalian body, including the cooperation between structure and function at the cellular and molecular levels governed by gene and protein expression. 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Bucak",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/196707/images/system/196707.png",biography:"Mustafa Numan Bucak received a bachelor’s degree from the Veterinary Faculty, Ankara University, Turkey, where he also obtained a Ph.D. in Sperm Cryobiology. He is an academic staff member of the Department of Reproduction and Artificial Insemination, Selçuk University, Turkey. He manages several studies on sperms and embryos and is an editorial board member for several international journals. His studies include sperm cryobiology, in vitro fertilization, and embryo production in animals.",institutionString:"Selçuk University, Faculty of Veterinary Medicine",institution:null},{id:"90846",title:"Prof.",name:"Yusuf",middleName:null,surname:"Bozkurt",slug:"yusuf-bozkurt",fullName:"Yusuf Bozkurt",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/90846/images/system/90846.jpg",biography:"Yusuf Bozkurt has a BSc, MSc, and Ph.D. from Ankara University, Turkey. He is currently a Professor of Biotechnology of Reproduction in the field of Aquaculture, İskenderun Technical University, Turkey. His research interests include reproductive biology and biotechnology with an emphasis on cryo-conservation. He is on the editorial board of several international peer-reviewed journals and has published many papers. Additionally, he has participated in many international and national congresses, seminars, and workshops with oral and poster presentations. He is an active member of many local and international organizations.",institutionString:"İskenderun Technical University",institution:{name:"İskenderun Technical University",country:{name:"Turkey"}}},{id:"61139",title:"Dr.",name:"Sergey",middleName:null,surname:"Tkachev",slug:"sergey-tkachev",fullName:"Sergey Tkachev",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/61139/images/system/61139.png",biography:"Dr. Sergey Tkachev is a senior research scientist at the Institute of Fundamental Medicine and Biology, Kazan Federal University, Russia, and at the Institute of Chemical Biology and Fundamental Medicine SB RAS, Novosibirsk, Russia. He received his Ph.D. in Molecular Biology with his thesis “Genetic variability of the tick-borne encephalitis virus in natural foci of Novosibirsk city and its suburbs.” His primary field is molecular virology with research emphasis on vector-borne viruses, especially tick-borne encephalitis virus, Kemerovo virus and Omsk hemorrhagic fever virus, rabies virus, molecular genetics, biology, and epidemiology of virus pathogens.",institutionString:"Russian Academy of Sciences",institution:{name:"Russian Academy of Sciences",country:{name:"Russia"}}},{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/310962/images/system/310962.jpg",biography:"Amlan K. Patra, FRSB, obtained a Ph.D. in Animal Nutrition from Indian Veterinary Research Institute, India, in 2002. He is currently an associate professor at West Bengal University of Animal and Fishery Sciences. He has more than twenty years of research and teaching experience. He held previous positions at the American Institute for Goat Research, The Ohio State University, Columbus, USA, and Free University of Berlin, Germany. His research focuses on animal nutrition, particularly ruminants and poultry nutrition, gastrointestinal electrophysiology, meta-analysis and modeling in nutrition, and livestock–environment interaction. He has authored around 175 articles in journals, book chapters, and proceedings. Dr. Patra serves on the editorial boards of several reputed journals.",institutionString:null,institution:{name:"West Bengal University of Animal and Fishery Sciences",country:{name:"India"}}},{id:"53998",title:"Prof.",name:"László",middleName:null,surname:"Babinszky",slug:"laszlo-babinszky",fullName:"László Babinszky",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/53998/images/system/53998.png",biography:"László Babinszky is Professor Emeritus, Department of Animal Nutrition Physiology, University of Debrecen, Hungary. He has also worked in the Department of Animal Nutrition, University of Wageningen, Netherlands; the Institute for Livestock Feeding and Nutrition (IVVO), Lelystad, Netherlands; the Agricultural University of Vienna (BOKU); the Institute for Animal Breeding and Nutrition, Austria; and the Oscar Kellner Research Institute for Animal Nutrition, Rostock, Germany. In 1992, Dr. Babinszky obtained a Ph.D. in Animal Nutrition from the University of Wageningen. His main research areas are swine and poultry nutrition. He has authored more than 300 publications (papers, book chapters) and edited four books and fourteen international conference proceedings.",institutionString:"University of Debrecen",institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"201830",title:"Dr.",name:"Fernando",middleName:"Sanchez",surname:"Davila",slug:"fernando-davila",fullName:"Fernando Davila",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201830/images/5017_n.jpg",biography:"I am a professor at UANL since 1988. My research lines are the development of reproductive techniques in small ruminants. We also conducted research on sexual and social behavior in males.\nI am Mexican and study my professional career as an engineer in agriculture and animal science at UANL. Then take a masters degree in science in Germany (Animal breeding). Take a doctorate in animal science at the UANL.",institutionString:null,institution:{name:"Universidad Autónoma de Nuevo León",country:{name:"Mexico"}}},{id:"309250",title:"Dr.",name:"Miguel",middleName:null,surname:"Quaresma",slug:"miguel-quaresma",fullName:"Miguel Quaresma",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309250/images/9059_n.jpg",biography:"Miguel Nuno Pinheiro Quaresma was born on May 26, 1974 in Dili, Timor Island. He is married with two children: a boy and a girl, and he is a resident in Vila Real, Portugal. He graduated in Veterinary Medicine in August 1998 and obtained his Ph.D. degree in Veterinary Sciences -Clinical Area in February 2015, both from the University of Trás-os-Montes e Alto Douro. He is currently enrolled in the Alternative Residency of the European College of Animal Reproduction. He works as a Senior Clinician at the Veterinary Teaching Hospital of UTAD (HVUTAD) with a role in clinical activity in the area of livestock and equine species as well as to support teaching and research in related areas. He teaches as an Invited Professor in Reproduction Medicine I and II of the Master\\'s in Veterinary Medicine degree at UTAD. Currently, he holds the position of Chairman of the Portuguese Buiatrics Association. He is a member of the Consultive Group on Production Animals of the OMV. He has 19 publications in indexed international journals (ISIS), as well as over 60 publications and oral presentations in both Portuguese and international journals and congresses.",institutionString:"University of Trás-os-Montes and Alto Douro",institution:{name:"University of Trás-os-Montes and Alto Douro",country:{name:"Portugal"}}},{id:"38652",title:"Prof.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:"Catholic University of Valencia San Vicente Mártir, Spain",institution:{name:"Valencia Catholic University Saint Vincent Martyr",country:{name:"Spain"}}},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain. She is a Full Professor at the Department of Medicine and Animal Surgery at the same University. She developed her research activity in the field of Endocrinology, Hematology, Biochemistry and Immunology of horses. She is a scientific reviewer of several international journals : American Journal of Obstetrics and Gynecology, Comparative Clinical Pathology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology. Since 2014, she has been the Head of the Clinical Analysis Laboratory of the Hospital Clínico Veterinario from the Faculty of Veterinary, CEU-Cardenal Herrera University.",institutionString:"CEU-Cardenal Herrera University",institution:{name:"CEU Cardinal Herrera University",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"350704",title:"M.Sc.",name:"Camila",middleName:"Silva Costa",surname:"Ferreira",slug:"camila-ferreira",fullName:"Camila Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/350704/images/17280_n.jpg",biography:"Graduated in Veterinary Medicine at the Fluminense Federal University, specialist in Equine Reproduction at the Brazilian Veterinary Institute (IBVET) and Master in Clinical Veterinary Medicine and Animal Reproduction at the Fluminense Federal University. She has experience in analyzing zootechnical indices in dairy cattle and organizing events related to Veterinary Medicine through extension grants. I have experience in the field of diagnostic imaging and animal reproduction in veterinary medicine through monitoring and scientific initiation scholarships. I worked at the Equus Central Reproduction Equine located in Santo Antônio de Jesus – BA in the 2016/2017 breeding season. I am currently a doctoral student with a scholarship from CAPES of the Postgraduate Program in Veterinary Medicine (Pathology and Clinical Sciences) at the Federal Rural University of Rio de Janeiro (UFRRJ) with a research project with an emphasis on equine endometritis.",institutionString:null,institution:null},{id:"41319",title:"Prof.",name:"Lung-Kwang",middleName:null,surname:"Pan",slug:"lung-kwang-pan",fullName:"Lung-Kwang Pan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41319/images/84_n.jpg",biography:null,institutionString:null,institution:null},{id:"201721",title:"Dr.",name:"Beatrice",middleName:null,surname:"Funiciello",slug:"beatrice-funiciello",fullName:"Beatrice Funiciello",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201721/images/11089_n.jpg",biography:"Graduated from the University of Milan in 2011, my post-graduate education included CertAVP modules mainly on equines (dermatology and internal medicine) and a few on small animal (dermatology and anaesthesia) at the University of Liverpool. After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. She is currently a teacher in the medium / technical level courses at IFMT-Alta Floresta, as well as in the Bachelor\\\'s degree in Animal Science and in the Bachelor\\\'s degree in Business.',institutionString:null,institution:null},{id:"442807",title:"Dr.",name:"Busani",middleName:null,surname:"Moyo",slug:"busani-moyo",fullName:"Busani Moyo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Gwanda State University",country:{name:"Zimbabwe"}}},{id:"423023",title:"Dr.",name:"Yosra",middleName:null,surname:"Soltan",slug:"yosra-soltan",fullName:"Yosra Soltan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"349788",title:"Dr.",name:"Florencia Nery",middleName:null,surname:"Sompie",slug:"florencia-nery-sompie",fullName:"Florencia Nery Sompie",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sam Ratulangi University",country:{name:"Indonesia"}}},{id:"428600",title:"MSc.",name:"Adriana",middleName:null,surname:"García-Alarcón",slug:"adriana-garcia-alarcon",fullName:"Adriana García-Alarcón",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"208123",title:"Dr.",name:"Mari-Carmen",middleName:null,surname:"Uribe",slug:"mari-carmen-uribe",fullName:"Mari-Carmen Uribe",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"345713",title:"Dr.",name:"Csaba",middleName:null,surname:"Szabó",slug:"csaba-szabo",fullName:"Csaba Szabó",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Debrecen",country:{name:"Hungary"}}},{id:"345719",title:"Mrs.",name:"Márta",middleName:null,surname:"Horváth",slug:"marta-horvath",fullName:"Márta Horváth",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Debrecen",country:{name:"Hungary"}}}]}},subseries:{item:{id:"25",type:"subseries",title:"Evolutionary Computation",keywords:"Genetic Algorithms, Genetic Programming, Evolutionary Programming, Evolution Strategies, Hybrid Algorithms, Bioinspired Metaheuristics, Ant Colony Optimization, Evolutionary Learning, Hyperparameter Optimization",scope:"Evolutionary computing is a paradigm that has grown dramatically in recent years. This group of bio-inspired metaheuristics solves multiple optimization problems by applying the metaphor of natural selection. It so far has solved problems such as resource allocation, routing, schedule planning, and engineering design. Moreover, in the field of machine learning, evolutionary computation has carved out a significant niche both in the generation of learning models and in the automatic design and optimization of hyperparameters in deep learning models. This collection aims to include quality volumes on various topics related to evolutionary algorithms and, alternatively, other metaheuristics of interest inspired by nature. For example, some of the issues of interest could be the following: Advances in evolutionary computation (Genetic algorithms, Genetic programming, Bio-inspired metaheuristics, Hybrid metaheuristics, Parallel ECs); Applications of evolutionary algorithms (Machine learning and Data Mining with EAs, Search-Based Software Engineering, Scheduling, and Planning Applications, Smart Transport Applications, Applications to Games, Image Analysis, Signal Processing and Pattern Recognition, Applications to Sustainability).",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",hasOnlineFirst:!1,hasPublishedBooks:!0,annualVolume:11421,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,series:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403"},editorialBoard:[{id:"111683",title:"Prof.",name:"Elmer P.",middleName:"P.",surname:"Dadios",slug:"elmer-p.-dadios",fullName:"Elmer P. 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