The periphery surveillance system monitors parameters.
\\n\\n
IntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\\n\\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
\\n\\nLaunching 2021
\\n\\nArtificial Intelligence, ISSN 2633-1403
\\n\\nVeterinary Medicine and Science, ISSN 2632-0517
\\n\\nBiochemistry, ISSN 2632-0983
\\n\\nBiomedical Engineering, ISSN 2631-5343
\\n\\nInfectious Diseases, ISSN 2631-6188
\\n\\nPhysiology (Coming Soon)
\\n\\nDentistry (Coming Soon)
\\n\\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\\n\\nNote: Edited in October 2021
\\n"}]',published:!0,mainMedia:{caption:"",originalUrl:"/media/original/132"}},components:[{type:"htmlEditorComponent",content:'With the desire to make book publishing more relevant for the digital age and offer innovative Open Access publishing options, we are thrilled to announce the launch of our new publishing format: IntechOpen Book Series.
\n\nDesigned to cover fast-moving research fields in rapidly expanding areas, our Book Series feature a Topic structure allowing us to present the most relevant sub-disciplines. Book Series are headed by Series Editors, and a team of Topic Editors supported by international Editorial Board members. Topics are always open for submissions, with an Annual Volume published each calendar year.
\n\nAfter a robust peer-review process, accepted works are published quickly, thanks to Online First, ensuring research is made available to the scientific community without delay.
\n\nOur innovative Book Series format brings you:
\n\nIntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\n\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
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\n\nVeterinary Medicine and Science, ISSN 2632-0517
\n\nBiochemistry, ISSN 2632-0983
\n\nBiomedical Engineering, ISSN 2631-5343
\n\nInfectious Diseases, ISSN 2631-6188
\n\nPhysiology (Coming Soon)
\n\nDentistry (Coming Soon)
\n\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\n\nNote: Edited in October 2021
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The reduction of ecosystem services plays a key role in the group of phenomena that is called the global ecological crisis. The survival of mankind and the sustainability of society depend on ecosystem services provided by natural ecosystems. Only a healthy biosphere is able to regulate the climate of the Earth and keep it in a range suitable for us.
\r\n\r\n\tAfter some methodological chapters and general ecosystem ecological approaches, we would like to collect of newest results of biodiversity research of natural ecosystems (forests, grasslands, deserts, freshwater habitats, marine habitats), agroecosystems (croplands, orchards, plantations, aquaculture, agroforestry) and urban habitats (cities, towns, parks, industrial areas, road network).
\r\n\r\n\tThrough this book-project, we try to give a detailed and useful collection and a good report about the frontiers of this interesting and very important scientific area.
",isbn:"978-1-83969-488-2",printIsbn:"978-1-83969-487-5",pdfIsbn:"978-1-83969-489-9",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"c96b42d4539957c58dfc2eb8fd9ffc21",bookSignature:"Dr. Levente Hufnagel",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/10763.jpg",keywords:"Sustainability, Nature Conservation, Environmental Protection, Biodiversity Indices, Measures, Methodology, Natural Ecosystems, Agroecosystems, Urban Ecosystems, Ecosystem Ecology, Food Webs, Ecosystem Services",numberOfDownloads:1396,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 9th 2021",dateEndSecondStepPublish:"March 9th 2021",dateEndThirdStepPublish:"May 8th 2021",dateEndFourthStepPublish:"July 27th 2021",dateEndFifthStepPublish:"September 25th 2021",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"a year",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:"A pioneering researcher of global ecological problems, quantitative ecology, and research methodology, Editor-in-Chief of Applied Ecology and Environmental Research, Head of Department of Applied Statistics at Szent István University.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"10864",title:"Dr.",name:"Levente",middleName:null,surname:"Hufnagel",slug:"levente-hufnagel",fullName:"Levente Hufnagel",profilePictureURL:"https://mts.intechopen.com/storage/users/10864/images/system/10864.JPG",biography:"Dr. Levente Hufnagel is an associate professor and the head of the Research Institute of Multidisciplinary Ecotheology, John Wesley Theological College, Budapest, Hungary, working on ecology, biogeography, ecological research methodology, and sustainability. He has more than 20 years of experience in leading Hungarian academic institutions teaching Ph.D., MSc, and BSc students from various social and cultural backgrounds. He has more than 300 scientific publications (in both aquatic and terrestrial ecological aspects of plants, animals, and microbes at both the community and population levels) and more than 1100 independent citations to his credit. As a participant in several big ecological research and development projects, Dr. Hufnagel has significant experience in multidisciplinary collaborations (with more than 200 coauthors in different publications). He has supervised several Ph.D., BSc, and MSc theses, and served as editor in chief of an international scientific journal. Dr. Hufnagel graduated from Eötvös Lorand University with a master’s degree in Ecology and Evolutionary Biology and a Ph.D. in Hydrobiology. He also has a Ph.D. in Agricultural Science from Szent István University, Hungary, and several other degrees from the Corvinus University of Budapest and Adventist Theological College.",institutionString:"John Wesley Theological College",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"11",totalChapterViews:"0",totalEditedBooks:"6",institution:null}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"12",title:"Environmental Sciences",slug:"environmental-sciences"}],chapters:[{id:"79203",title:"Soil Biodiversity and Root Pathogens in Agroecosystems",slug:"soil-biodiversity-and-root-pathogens-in-agroecosystems",totalDownloads:141,totalCrossrefCites:0,authors:[null]},{id:"79769",title:"Elucidation of Some Ecological Traits of Carabids (Coleoptera: Carabidae) Inhabiting Kakuma Campus Grassland, Kanazawa City, 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"57851",title:"Towards New Generation Power MOSFETs for Automotive Electric Control Units",doi:"10.5772/intechopen.70906",slug:"towards-new-generation-power-mosfets-for-automotive-electric-control-units",body:'When the first automobiles were invented dating back to 130 years ago, the only expectations were safe operation and durability. Over the years of continual development of the automobile, more and more “bells and whistles” were added, culminating in more innovative features and functions. More recently, driverless cars have become a reality. These features are inevitably empowered by advances in electrical engineering and automation, bringing about the rapid increase in the value of electronics in a car. Particularly, more and more electronic control units (ECUs) have been developed for automobiles and electric vehicles. In certain high-end vehicles, the number of ECUs can be as high as 100 or so. If ECUs are akin to the organs of the car, semiconductor devices are like the cells. The latter we refer especially to those power semiconductor devices that are widely recognized as basic and vital building blocks of electrical and power electronic systems.
Discrete power semiconductors occupy a major share of the ever-increasing revenue from semiconductor devices in the HEV/EV industry over the years, and this is projected to continue beyond 2020 (Figure 1) [1]. Specifically, power metal-oxide-semiconductor field-effect transistors (MOSFETs) have gained a lot of popularity due to their simple drive requirements, low on-resistance and fast switching properties. Owing to their high input impedance and energy efficiency excellence in high frequency applications, MOSFETs are the preferred choice to several circuit designers [2]. Notably, power MOSFETs are able to switch high current and voltage levels with enhanced power handling capability in highly efficient power supply circuits and systems [3].
Semiconductors in HEVs/EVs by device categories [
One of the key metrics underpinning the performance of the MOSFET is on-resistance (Rdson). High Rdson restricts the maximum current capability; in addition, large power dissipation (P = Vdd × Id, ave. = Id,ave.2 × Rdson) will lead to unwanted die temperature rise during device operation. It is understood that Rdson is inversely proportional to the cell area for many device technologies Therefore to enable comparison between different designs, e.g. ‘trench’ versus ‘planar’ types, a figure-of-merit is introduced called the specific on-resistance, i.e. the product of Rdson and the cell area.
Almost every application circuit has some kind of inductance, not only in the form of load inductance such as solenoids or electric motors, but stray inductances such as wiring and layout inductances.
Figure 2 shows a typical application circuit in an electric power steering system. It can be seen that instantaneous current changes could result from a short circuit in the arm of the H-bridge, a short circuit to the ground or a short circuit to the three-phase motor. When the supply current is rapidly switched off, the changing magnetic field inside the windings induces a back electromotive force. Thus, when dealing with inductive loads in ECUs, a high di/dt commutation rate during switching transitions runs the risk of a surge voltage that may destroy the device [4]. Placing a freewheeling diode anti-parallel to the MOSFET represents one approach to avoid this possible high voltage dump. However, in some applications, for instance gasoline or diesel injection [2], MOSFETs are designed with an intrinsic body diode to withstand this possible voltage surge in order to survive any avalanche breakdown threat. Unclamped inductive switching (UIS) is so-called without support of a separate freewheeling diode, and ruggedness is the ability of the MOSFET to resist avalanche failure under UIS conditions. Electron irradiation or platinum doping may also be used for minority carrier lifetime control in the body diode to greatly improve the reverse recovery characteristics.
Typical application circuit in electric power steering [
According to the QYResearch Group, the global revenue for the discrete power device market in 2016 was valued at $ 7.277 billion, and by the end of 2022 this number was projected to rise to $ 9.135 billion, growing at a compound annual growth rate of slightly above 3.86% between 2016 and 2022 [5]. As aforementioned, the power MOSFET accounts for a significant portion of the total revenue. There are various catalogs of MOSFETs available in the market; the technology used is mainly categorized into the following three types: planar, trench and superjunction. In the low voltage category, besides automotive MOSFETs that form the main focus of this chapter, other power MOSFETs are designed for a range of other applications. Take Infineon for example, they target their commercial power MOSFETs at the following applications [6]:
DC/DC converters
3D printers
LED lighting
motor control systems
solar micro inverters
battery powered applications, i.e. desktop and notebook
audio amplifier
Further, Infineon has also developed green and robust packages for their product range, providing the highest current handling capabilities [7]. In the high voltage rating (500–900 V), a very innovative kind of MOSFET has dominated the market, called the superjunction MOSFET, which was originally commercialized by Infineon in 1998 [7]. Normally, the on-resistance is positively related to the voltage rating, which is characteristic of typical high voltage rating devices. This is due to the increase in drift region resistance to support higher voltages. However, thanks to the superjunction MOSFET, this relation does not apply. The most remarkable feature about this kind of MOSFET is the dramatic reduction in on-resistance and switching losses, thus enabling high power density and energy conversion efficiency in high power applications. Finally, the other kind of power MOSFETs is based on the laterally double-diffused short channel structure, or RF LDMOS. Due to its high operating frequency, one typical application of this MOSFET is in telecommunications, for example, in power amplifiers in television systems (especially digital television), radar systems and military communications [8]. Besides a higher gain and linearity, excellent noise-resistant properties and thermal stability are other key advantages of this type of unipolar device [8].
A standard planar MOSFET was designed to meet the performance specifications of the electric power steering circuit. In order to enable better noise resilience, an appropriate threshold voltage (Vth) of 3 V was engineered [2]. In the current technology market, the typical supply voltage for the power steering circuit is 42 V [2]. Therefore the designed breakdown voltage of the planar and trench MOSFET should be around 50 V. Figure 3 shows the structure of the n-channel planar MOSFET including the depletion regions. During forward conduction, electrons flow from the source through the inverted region of the p-well (or n-channel) beneath the gate, then through the JFET region before entering the drift region. Hence, there are four main types of component resistances [9]: (1) source resistance, (2) channel resistance, (3) JFET resistance and (4) drift region resistance, which will be further discussed below. Figure 4 shows the Vth increase with the
Structure of the planar MOSFET including depletion regions at zero bias [
Transfer characteristics at a drain voltage of 0.1 V for various p-well (boron) doses [
Nevertheless, it is important to note that for high voltage designs, the drift region resistance is the most significant component, whereas for low voltage designs, channel resistance and source resistance are crucial, in the overall Rdson. As Rdson is negatively correlated to the drift region doping concentration, so is the breakdown voltage (BV), as shown in Figure 5. Hence for high voltage rating power MOSFETs, the doping concentration in the drift region should be low enough, which is the reason why the Rdson of high power MOSFETs is typically way larger than that of low power MOSFETs. Fortunately, replacing silicon (Si) with wide bandgap silicon carbide (SiC) would enable a significantly lower drift region resistance [10]. The results for this will be discussed below. Besides, the drift region epitaxial layer thickness (tnepi) also determines Rdson, and Figure 6 shows that below 5 μm, BV drops dramatically, thereby reflecting the case that avalanche breakdown occurs before the drift region is fully depleted in the off-state. Therefore the optimal tnepi should be slightly larger than 5 μm for the best trade-off between BV and Rdson.
Breakdown voltage as a function of drift region doping concentration [
Breakdown voltage as a function of drift region epitaxial layer thickness [
For a half-cell pitch decreasing from 11 to 10 μm, BV increases (Figure 7). Below 10 μm, no further increase in BV can occur, owing to a field plate effect that optimizes the electric field distribution at the junction curvature; the electrical field at the junction curvature approximates that of a planar junction. A shorter cell pitch would increase the JFET resistance; therefore the half-cell pitch was chosen to be 10 μm to provide the best trade-off between BV and JFET resistance. The Rdson is 1.56 × 104 Ω at a gate bias of 5 V (see Figure 8), and with a cell width of 1 μm, the specific on-resistance is 1.56 mΩcm2.
Breakdown voltage as a function of half-cell pitch [
Output characteristics in the linear region of operation at a gate voltage of 5 V [
Further, a caveat should be noted that in practice, especially for high voltage devices, BV is limited by the edge termination structure used to control the surface electric field. This is because high voltage planar junctions under reverse bias exhibit significantly lower breakdown voltages than one-dimensional theory predicts due to three-dimensional electric potential line crowding at the junction periphery. Therefore a good edge termination structure is critical to minimize this effect and increase the planar junction BV to near ideal values to maintain the rated BV and reliability of the high voltage power device. When the maximum specified drain to source voltage (or BV) is exceeded when the MOSFET is turned off, the intense surface fields on the field guard rings, beyond the rated design specification, can cause avalanche multiplication, thereby leading to conduction of an overcurrent that damages the device due to excessive power dissipation. This is indicated by the catastrophic damage on the field guard rings of the MOSFET bare die (see Figures 9 and 10).
Breakdown damage on field guard rings indicating excessive drain to source voltage.
Breakdown damage on field guard rings indicating excessive drain to source voltage (under higher magnification
Having high cell densities and large die sizes can achieve lower on-resistances, but concomitantly result in significant gate and output charges, thereby increasing the switching losses. Therefore three main strategies to reduce on-resistance will be illustrated for the planar MOSFET: (1) optimization of gate width-length dimensions; (2) increased doping in the integral JFET region; and (3) adopting wide bandgap SiC as the power semiconductor material. The deep trench design is known to significantly reduce on-resistance owing to a low spreading resistance through the increased accumulation layer, and complete elimination of the JFET resistance.
Concerning the planar MOSFET, the specific on-resistance of the accumulation layer is positively related, but that of the JFET region is negatively related, to the width-length ratio of the gate electrode [12]. The optimum gate width is
Specific on-resistance versus gate width [
Figure 12 shows the structure of the power MOSFET with increased doping in the integral JFET region. By increasing the JFET doping concentration (≈
Doping profiles in the power MOSFET with additional dose in the JFET region [
Breakdown voltage as a function of JFET excess dose [
The structure of a planar gate SiC vertically double-diffused (VD)-MOSFET being modeled is shown in Figure 14. The gate oxide thickness is the same as that for the Si planar MOSFET in Figure 3. To target a Vth of 3 V, the designed doping concentration is 2.6 × 1016 cm−3 in the
Structure of a planar gate SiC VDMOSFET [
The critical breakdown electric field of SiC is eight-fold greater than that of Si [13]. Hence, if no reach-through is assumed, in principle a BV up to 411 V can be achieved according to:
where
which in turn sets the minimum
Potential distribution in SiC power MOSFET at a drain voltage of 36 V [
Moreover, the JFET region is virtually non-existent because the depletion width is significantly narrower, so that it becomes possible to make the separation between the two
The cell pitch in the trench design platform can be made very small because there is no JFET region, but is limited by the current fabrication technology. Figure 16 shows the trench MOSFET structure and current paths at a gate and drain bias of 5 V and 1 V respectively. A half-cell pitch of 2.5 μm is chosen for a typical trench MOSFET, and the gate oxide thickness is 80 nm, the
Trench gate power MOSFET structure and current flow lines through the n+ source and n+ substrate of the device with a backside contact. The current density is normalized to the maximum in the device [
To target a Vth of 3 V, the
Breakdown voltage versus drift region thickness [
Therefore, the underpinning reasons for such a low on-resistance of the trench MOSFET can be summarized as follows. By eliminating the intrinsic JFET component in the trench design, the cell pitch can be made very small without needing to be concerned about increasing the JFET resistance. In fact, the cell pitch of the designed trench MOSFET is shorter by a factor of 2.5 than that of the planar MOSFET with optimum gate width [11].
Basically, two types of failure modes can be identified in the avalanche condition. One is the active mode, which is caused by the turning on of a parasitic transistor intrinsic in the device through the p-well [14]. During avalanche, the body diode no longer blocks voltage; the electric field in the body diode becomes exceedingly large, above the critical breakdown field magnitudes of Si or SiC, particularly at the junction curvatures. Consequently, the process of impact ionization and avalanche multiplication occurs, thereby leading to a large current flow between the drain and source through the p-well, and power dissipation causes the associated local temperature rise. Due to the positive temperature coefficient of the resistivity of silicon, the p-well resistance (Rb+), and in turn, the voltage drop across the p-well (acting as the base-emitter forward bias), will increase. Once this voltage drop exceeds 0.7 V, which is the turn-on voltage of the parasitic BJT, loss of gate control and latch-up occurs, and a hot spot is formed as more current crowds into it, ultimately leading to device destruction due to overcurrent [15]. However, in other cases, avalanche failure is due to a passive mechanism, which essentially arises from a thermal effect [14]. In an avalanche condition, energy stored in the inductor is dissipated in the MOSFET, even in its off state, thereby leading to a local temperature rise within the device. This temperature rise changes the breakdown voltage, which in turn results in significantly larger current flow and increased power dissipation, and eventual thermal runaway; the current percolations through narrow regions due to the positive temperature coefficient of the silicon resistivity bring about secondary breakdown induced by ohmic heating. The secondary breakdown is initiated when the cell temperature reaches a critical value, beyond which the intrinsic carrier concentration exceeds the background doping concentration in the epitaxial layer [16]; and the thermal generation of defects that form current shunts. The avalanche failure site can be optically visualized from burnt marks on the bare die, indicating the occurrence of the hot spots that the current crowd into, eventually causing catastrophic damage.
Modern day designs are focused on increasing device ruggedness, and thus avalanche testing methods were developed to validate the device avalanche rating. An example of the latter is UIS testing, which is performed using a test circuit like the one shown in Figure 18.
UIS testing circuit [
The UIS testing procedure is as follows:
1. A gate bias switches on the MOSFET.
2. Current flows through the load (whereas the MOSFET intrinsic resistance can be ignored), and the current increase can be expressed as:
where VDD is the supply voltage, T is the pulse width and L the inductance.
3. When the targeted current is reached, the gate signal is reduced to zero, thereby immediately switching off the MOSFET. However, the current cannot decay abruptly owing to the presence of an inductive load; in fact, the resultant higher voltage exerted on the MOSFET forces the device into avalanche.
4. Avalanche operation is sustained till all the energy stored within the magnetic field due to the inductance is dissipated as heat.
The voltage exerted on the device in the avalanche condition, is not BV but the effective breakdown voltage (BVDSS), which is about 1.3–1.5 fold larger [4]. The avalanche voltage on the inductive load is BVDSS – VDD, and the avalanche duration can be derived from:
Hence, we can compute the single pulse avalanche energy (EAS) from:
Since BVDSS is directly proportional to temperature [18], self-heating effects are accounted for in the electro-thermal simulations of the circuit performance. As an example, VDD is 20 V and the inductive load is chosen as 1 mH, and R1 and R2 are both 100 Ω for a typical UIS simulation. The gate signal amplitude is 10 V and pulse width is 2 ms, which turns on the device within the duration when Vth is exceeded, but turns off the device otherwise. The 50 V rated MOSFET is designed with a Vth of 3 V, and for a die size of 5 mm2, the waveforms under avalanche operation are shown in Figure 19.
Waveforms under avalanche operation [
The maximum drain current is 40 A, at which instant the gate bias drops below Vth so that the MOSFET is turned off and the junction temperature rises sharply from 27 to 123°C within a few nanoseconds as the energy stored in the circuit inductance is dissipated as heat in the device; the drain-source voltage also increases abruptly up to the BV concomitantly with temperature. The peak junction temperature and maximum drain-source voltage occur at the same time because the BV positively correlates with the junction temperature. Subsequently, the device reverts to room temperature after
For the Si device under testing (DUT) to survive under avalanche operation, the device junction temperature cannot exceed 335°C [16]. Otherwise, a large proportion of defects would be thermally generated in the epitaxial layer [16]. As a result, current crowding into a localized hot spot would occur on the chip, melting the aluminum around it and thus destroying the device. Upon optical inspection, the majority of the bare die reveals a catastrophic body diode melt down failure (not shown). Figure 20 shows avalanche operation when the junction temperature exceeds 335°C. Under this condition, the MOSFET is thought to have failed to survive as the semiconductor approaches intrinsic properties at this high temperature. The lattice temperature profile shown in Figure 21 illustrates a hot spot at the junction curvature between the
Waveforms under UIS test conditions when avalanche failure is believed to occur. The maximum operating temperature is 335°C [
Lattice temperature distribution in the power MOSFET [
For a given inductance (0.01 mH), the relationship between the initial junction temperature and maximum avalanche current is shown in Figure 22. A linear regression of the data indicates that the maximum initial junction temperature is around 350°C, which closely agrees with the threshold for avalanche failure. For constant inductance, the maximum avalanche current is:
where
Initial junction temperature and resulting maximum avalanche current [
Figure 23 shows the inductive load dependence of
Maximum avalanche current as a function of total inductance [
The cell pitch of the trench MOSFET can be reduced to 2.5 μm, from the 10 μm of the conventional planar MOSFET. And to maintain the same active area (5 mm2), the width of the trench MOSFET can also be increased four-fold compared to that of the planar MOSFET. Figure 24 shows the maximum avalanche current for the planar and trench platforms at an initial junction temperature of 300 K. Clearly, the avalanche current capability of the trench variant is 50–100% superior to that of the planar counterpart. Figure 25 shows that the highest temperature is localized at the planar junction between the
Maximum avalanche current in the planar and trench MOSFETs [
Temperature distribution in the trench MOSFET [
Rounding off the trench gate corners is an approach that can avoid highly intense electric fields under UIS conditions and improve the ruggedness. The resultant potential contours exhibiting less crowding at the edges of the trench gate corner due to the modified design is shown in Figure 26. Figure 27 shows that the maximum avalanche current increases by about 4–10 A per cell using the modified trench gate structure.
Trench MOSFET with gate corner rounding and potential distribution during avalanche operation [
Maximum avalanche current for standard and modified trench MOSFET with rounded gate corners [
In this chapter, 50 V rated power MOSFETs based on the planar and trench technologies have been designed, modeled, simulated and compared using industry-standard Technology Computer-Aided Design (TCAD) tools. A survey of some methods to successfully reduce the specific on-resistance has been given. The specific on-resistance can be reduced by 23% through gate width-length optimization of the standard planar Si MOSFET. The increased doping in the JFET region decreases the specific on-resistance by about 8.3% but affects BV. Adopting SiC is more attractive and effective amongst the planar technologies studied where the specific on-resistance can be reduced by
One of the crucial challenges of the mining sector is the prevention of financial loss due to illegal mining and mineral theft through an unauthorized path. This loss inflicts severe assault on the financial health of both the mining industry and government. Safety and security lapse is another worrisome aspect of this sector. Mining production highly depends on the safe interface between mining machinery and human being. Their proper and optimum utilization helps to maximize the production and productivity of a mine. Hence, protecting both these elements from safety and security hazards is a matter of immense importance. This calls for strict vigilance in the mine periphery to prevent unauthorized intrusion of any vehicle or person. Taking due cognizance of the stated situation, an intelligent mine periphery surveillance system (PSS) has been developed by CSIR-Central Institute of Mining and Fuel Research, Dhanbad, India, as a solution to these problems. Real-time detection of any suspected element or unwanted incidence by microwave radar and CCTV footage of the intruder is seen on the monitor, prompt alerting security personnel and thereby helps to avert untoward incidences by taking immediate action.
In recent years, microwave frequency modulated continuous wave (FMCW) radar has grown with demand in various domains. FMCW radars are found to realize the signals generated and processed in real-time for high-performance vehicle safety systems. The radar system has been employed in many safety applications, such as adaptive cruise control, crash mitigation and pre-crash sensing, to name a few. The FMCW radar can effectively detect moving and stationary target objects and are presently being marketed as safety systems for high-performance automotive applications as described by different authors [1, 2, 3, 4, 5]. This can also be applied in several other fields such as automotive applications, short-range radars for parking, traffic monitoring, anti-collision warning, adaptive cruise control, security, collision avoidance, defense, shipping, security, traffic, and medical imaging on under indoor and outdoor environments. The microwave FMCW radar security system is used for vehicle detection with a long detection range and high reliability, irrespective of environmental factors such as foggy weather, rain, dusty conditions etc. The range and velocity information of distinct targets may be measured concurrently in a short time for automotive safety applications. Various radar systems in use have been reported by several authors [6, 7, 8, 9, 10, 11, 12, 13, 14].
Unauthorized intrusion and illegal transportation of coal and minerals are significant issues about opencast mining industries. For example, in Tirap Opencast Mine, coal theft is widespread. The intrusion of illegal persons in this opencast mine is pervasive, leading to the unlawful transportation of coal and theft of mineral/coal and small mining equipment from the mine. Thus, there is a loss of revenue due to the above illegal activities, which is a grave concern and needs attention. Coal production of the mine largely depends on the safe interface between mining equipment and human beings. Protecting the assets and personnel against any possible hazards and optimizing their application by real-time location monitoring and control will improve mine safety and lead to increased productivity. The areas must be protected against unauthorized intrusion to manage the potential hazards in the sensitive areas inside the mining premises. Therefore, anintelligent mine periphery surveillance system has been developed and deployed in the mine for the first time. The developed system played a significant role in checking out these problems as this industrialized device could monitor the area efficiently.
Besides the above, the environmental conditions in opencast mining areas are dusty, full of smoke, foggy during the winter, and heavy rain during the rainy season. Thus, it raises a big challenge. These areas have different issues like soil erosion and dust coming from coal particles, leading to air and water pollution. These impact the environment and thus impact biodiversity as well. In recent years, the accumulation rate of waste dumps increased gradually, resulting in the great height of the waste dumps having a minimum ground cover area that created a danger to the environment. Illegal mining in the area marked with uneven slopes with an open pit is hazardous as it makes a warning bell for the human being and other animals living in the area. Open-pit slopes create disadvantages for mining industries as mining machinery cannot be used smoothly. There is always a chance of damage to machines due to land conditions created due to illegal mining as there is a lack of proper planning. Thus, there is a need for continuous monitoring and surveillance in that area which is a big challenge as the atmosphere in that area is full of dust and bad weather. Microwave FMCW radar is very suitable in these environmental conditions for surveillance and monitoring. It does not impact dust, vapor or waste particles suspended in the air, foggy weather, and rain. FMCW radar signals processing is good at different weather conditions such as humidity, snow, fog, rain, and dusty conditions. The microwave FMCW radar security system, is used for vehicle detection with a long detection range and high reliability. The objective of this experimental work is to showcase the impact of using our real-time monitoring and tracking, sensing and management system using surveillance microwave FMCW radar for controlling mineral overloading, coal theft and illicit mineral transportation from the mines, improving mine safety, security, and productivity management.
Mining activities form an essential part of the financial increase of any nation endowed with mineral resources. Unauthorized mining, vehicle overloading, adequate transparencies during mineral transportation, enhancement of equipment optimization and production scheduling, downtime of shovels and dumpers, etc., are some of the main concerns in opencast mines. As an obvious outcome of searching for proper solutions to these problems, recent decades have witnessed wide applications of communication, sensing, surveillance, and vehicle detection technologies.
In this field of research and investigation, the authors have put a pretty good step forward by developing a “microwave radar-based periphery surveillance system” using the advanced vehicle tracking and surveillance technologies.
In this chapter, the FMCW radar sensor is briefly discussed. The FMCW radar is the best for accurately measuring the distance of multiple targets and identifying the intruder using a pan-tilt-zoom (PTZ) camera. The principles of FMCW radar for measuring distance change and detection of a target is presented in this paper. Its application for monitoring of transportation of coal at the Tirap coal mine in Assam, India, has been discussed. In this system, a real-time object detection technique is used to provide a clear multilevel description of the environment around it for constant vigilance. The PSS has been developed using an FMCW radar sensor to maintain high accuracy with precise range information, which helps stop illicit coal transportation through the mine lease boundary. Based on this auto-generated information, the user is free to mark any suspicious object and raise the alarm. The experimental results show that the system can accurately measure the distance of 400 m approximately along the mine periphery. The objective of the field experiment is to showcase the impact of using real-time monitoring and tracking, sensing and management system in which a developed system is used for detecting mineral overloading, coal theft and illicit mineral transportation from the mines and to improve mine safety and security. A digital oscilloscope has been used to analyze the actual performance of the FMCW radar system, and the output waveform is the raw data received from radar.
The development of a periphery surveillance system for detecting an unauthorized vehicle or target object has gained popularity in the mining industry in recent times. Choudhary and EI-Nasr [15] have developed an automatic target recognition system using a remote sensing system and radar sensor. The system detects the target by reflecting an electromagnetic signal between the radar sensor and the target object. Ibanez et al. and Ganapathi et al. [16, 17] have developed a sensor-based transportation system for traffic control and vehicle tracking. The system addresses the high level of traffic control issues and improves road safety by tracking a vehicle in the respected area. Mimbela and Klein [18] have developed a vehicular detection and surveillance system. The system enhances the speed of monitoring, vehicles classification and speed of vehicle tracking. Yulianto [19] has developed a vehicle actuated control (VAC) and adaptive traffic signal control (ATSC) system for decreasing traffic congestion, object detection time and air pollution. Santi et al. [20] have developed a GNSS based multi-static radar for the detection and localization of vessels at sea. This system detects the location of a vessel in seawater. Thiel et al. [21] have carried out a case study for a car periphery supervision system for the production line in the automobile industry. Chaulya and Prasad [22] have developed a sensor-based monitoring system for hazardous areas in mines. A wireless sensor network (WSN) has been used for monitoring mine hazard parameters. Kassim et al. [23] have evaluated the performance of an acceleration sensor of the vehicle security system for movement detection. The system determines acceleration for a car using the acceleration sensor and detects the location of a vehicle using the GPS receiver. However, the said periphery surveillance systems do not have the proper architecture for detecting an intruder in real-time for controlling illegal mineral transportation and intrusion through the vast opencast mine periphery. The existing solutions do not have appropriate identification facilities to recognize the intruder, such as integrated CCTV cameras and analysis software. Further, these systems have no provision for providing automatic audio-visual warning at the intrusion site and control room and storing intrusion events with video footage for taking necessary action against the intruders with the recorded proof of the intrusion.
Considering the above limitations of the existing surveillance systems, an intelligent periphery surveillance system has been developed by CSIR-Central Institute of Mining and Fuel Research, Dhanbad, India, by integrating radar, CCTV camera, WSN, display and warning devices with application software. The main advantage of the proposed periphery surveillance system is that it detects the exact location of an intruder at the mine periphery in real-time. The system also identifies the intruder by auto-focusing a PTZ camera to the intrusion location during the incident, which detects the intruders in real-time while observing the control room. If the system detects an intrusion, it automatically gives an audio-visual warning at the intrusion site where the radar is installed as well as in the control room. The system has the facility to record the intrusion data as well as video footage with timestamp events in the form of a log for taking necessary legal action against the intruder with the proof of the intrusion. Further, the system has a long-range detection capability covering around 400 m distance with integration facility using a dynamic WSN for deploying multiple numbers of sub-systems to protect the long periphery of an opencast mine for controlling illegal mineral transportation from the mine as well as preventing the unauthorized entry into the mine. The system has suitable integrated software that adequately handles the radar and wireless devices, display unit, and warning devices.
The main components of the developed periphery surveillance system (PSS) are an FMCW radar, a PTZ CCTV camera, a wireless sensor network (WSN), a fast graphical processing unit (GPU) and a display unit.
The microwave radar sensor operates in FMCW mode in the industrial, scientific and medical (ISM) K band of the transmit frequencies of 24.00 to 24.25 GHz. For short and long-range applications, the radar sensor measures the distance and displacement of a static or slow-moving target object [9, 10, 11, 12, 13, 14]. The radar system consists of transmitting and receiving antenna; receiver consists of allowing noise amplifier (LNA) and in-phase/quadrature (I/Q) mixer, amplifier, a band-pass filter (BPF), two analog-to-digital (A/D) converters, a digital-to-analog (D/A) converter, and a digital signal processor (DSP). The output power of the radar front end is 16 dBm.
The FMCW radar is combined with the commercial PTZ camera. This high-resolution network camera is powered over the Ethernet and provides PTZ capability. The PTZ camera has been installed at mines at about 12 m height, with the radar front end covering the observation area. When operating in tracking mode, the PTZ camera observes the complete area and looks for sudden changes in the data stream. As soon as an intruder is detected, the camera switches to auto-focus mode. The camera zooms into the scene (the zoom factor depends on the target distance) and follows the intruder across the monitored area. During this time, high-resolution images of the target are produced, which can be used for assortment and recognition reasons. Therefore, a background image is intended and continuously updated by the system, similar to radar detection. The investigation of visual data was performed using the application software developed.
Using radio signals, communication can be done in a self-configuring network of tiny sensor nodes called a wireless sensor network. To sense, monitor and understand the physical world around us, a wireless sensor network (WSN) is needed to be deployed in large quantities. It is a subject of high prospective technology, which has been successfully implemented and tested in a real-time scenario and is practically deployed for many applications in different areas. Its real-time application is capable of monitoring, responding immediately to user input or controlling an external environment. Sensors play an essential role in connecting the external environment to the computer system.
The graphic processing unit (GPU) is preferred over the central processing unit (CPU) as it has unique features of computational display operations, which are faster than the CPU. Thus, the graphical presentation of the data can be easily understood through it. The GPU devices have more active threads than existing computer resources. Radar signal processing (RSP) represents a complex task that involves advanced signal processing techniques and intense computational efforts. The computational load of modern radar signal processors is more complex. In most applications, real-time radar data processing is required with the constraints of space ever haunting. The gamut of radar signal processor hardware ranges from general-purpose hardware like PC, workstations or mainframes, and application-specific hardware such as multi-core processors to reconfigurable computing platforms such as field-programmable gate arrays (FPGA). Radar signal processing is a data-parallel operation that also benefits from parallel processing architectures. The most promising of all high-performance computational architectures is the GPU, which can leverage hardware multithreading capabilities and single instruction multiple data (SIMD) or single instruction multiple threads (SIMT) execution schemes leading to incredible levels of performance on data-parallel based applications.
This developed PSS has many advantages and capabilities in the mining environment. These include the ability to filter on distance, direction, angle, and velocity measurement of object target up to 150° horizontal detection and up to 400 m (depending upon the object’s size). It provides accurate incident notifications at night and in all weather conditions like foggy weather, dusty environment, rainy weather etc. The system working has been for 24 hours in seven days (24 × 7) and detects moving objects in the periphery for intruder detection at remote locations. It receives all the radar measurement data and converts it into meaningful information/reports through TCP/IP, integrated display and storing of intrusion data and video for reports and records. Audio-visual warning at the site and in the control room is received and recorded.
This part discusses the FMCW radar working principle, radar sensor hardware overview, signal processing, and radar signal waveform raw data measurement through a digital oscilloscope.
The principle of operation of FMCW radar is simple. This radar sensor sends continuous waves with increasing frequency and receives them back after reflecting by an object or target. It is used to find the range and other information from a target using a frequency modulation technique on a continuous signal. The radar transmitter continuously transmits this modulated signal as a continuous wave (CW). The frequency modulation used by the radar can take many forms, such as triangular, saw-tooth, sinusoidal, or some other shape. The characteristic of a radar sensor is low transmitting power, ease of modulation, simple processing and ability to measure both range and velocity (Doppler) simultaneously. The radar signal processing can be used for real-time object recognition, target tracking, parameter deduction, and sometimes even signal classification of multi-target positions under all weather situations like foggy weather, dusty environment, rainy weather, etc. The advantages of FMCW radar against the other types of radar are low peak power, less sensitivity to clutter and accurate short-range measurement, which means that it is easier to integrate, a simpler algorithm for digital signal processing and cheaper to manufacture [24, 25, 26]. A continuous carrier modulated periodic function like a saw-tooth wave is transmitted to provide range data as shown in Figure 1, a frequency-time relation in the FMCW radar where the red line denotes the transmitted signal, the blue line indicates the received signal, υo denotes the central frequency, υw denotes frequency bandwidth for sweep and
Saw-tooth frequency modulation.
In the FMCW radar system, the frequency modulated signal received at a voltage-controlled oscillator (VCO) is transmitted from the transmitter
Figure 2 shows the block diagram of the FMCW radar system. Here, D/A denotes the digital to analog converter, VCO denotes the voltage controlled oscillator, BPF indicates the band-pass filter, and A/D means analog to the digital conversion, FFT means fast Fourier theorem,
Block diagram of the FMCW radar system.
The frequency of the transmitted signal
Where υ indicates the frequency at a particular time,
Where
At the receiver where,
To get the frequency of a beat signal, the transmitted signal’s frequency in Eq. (1) is multiplied by the frequency of the received signal in Eq. (3) at the position
Thus, the frequency of beat signal =
The output signal
The distance and displacement of the target are assumed from the generated output signal in Eq. (5) by the use of signal processing.
The distance spectrum of the output signal
In this equation, the function of
The amplitude value of the distance spectrum
This is possible when the phase components
When the number of a target to be 1, the distance spectrum in Eq. (6) becomes:
Its amplitude value of the distance spectrum is given as:
This Equation indicates the distance of the target is specified by the amplitude value of the distance spectrum.
The phase value of the distance spectrum,
Here, because
The displacement of the target is:
If the phase value satisfies
On the other hand, the maximum distance for measuring
Where
Where
Now, when sweep time,
Then,
Using value of
In the transmitter unit of the radar system, a ‘saw-tooth’ voltage sequence is generated by the ‘saw-tooth’ generator. It is used to control a VCO to generate a frequency modulated radio frequency (RF) signal. The receiver channel, with the help of the beam forming array, receives the signal reflected by obstructions. The fundamental frequency output from VCO is connected to the transmit antenna array and halved frequency output. Signals received from the antenna array are mixed with the transmitted signal in the sub-harmonic mixer. The intermediate frequency (IF) signal obtained from the mixer is then amplified by the variable gain amplifier (VGA) and filtered by a band-pass filter (BPF). These two components are controlled by the radars electronic control unit (ECU) unit, which also communicates with the PC host via the USB interface [27, 28, 29, 30]. The photograph of the manufactured FMCW radar unit is shown in Figure 3.
View of the FMCW radar.
The algorithm for signal evaluation is implemented on a field-programmable gate array (FPGA) to facilitate real-time processing. A parallel signal processing and control of all peripheral units such as ADC, DAC, radar, data transmission interface (USB), etc., are set up. The signal processing starts with the FMCW ramp generation inside the FPGA using very high description language (VHDL) software. This ramp is converted from digital data to analog with a DAC and is amplified. Finally, it reaches the radar interface FMCW transceiver. The transceiver, using the ramp, generates a modulated signal to transmit it. Then the signal is reflected by some targets and is received by each receiver antenna, and then the calculation of beat signals is done. Thus, the beat signal is amplified and converted from analog to digital data with an ADC to adapt measured signals to the FPGA. This block contains digital to analog (or vice versa) conversions, amplification, and FPGA processing. The ramp generated in the FPGA is then sent to a 16 bit digital to analog converter (DAC). The FMCW radar uses the ramp information to emit a transmitted signal, which is used to obtain the beat signal by mixing with the received one. Fast Fourier transform (FFT) is primarily used for signal processing.
The presence and distance of targets are identified by identifying the peaks. The signal processing is achieved on-board entirely by the microcontroller with ARM Cortex-M4F core, a group of 32-bit reduced instruction set computer (RISC) based ARM processor cores. The cores, when intended for micro-controller use, consist of the Cortex-M4F core features SIMD type instructions (single instruction, multiple data) and the floating-point unit, which, combined with high operating frequency, 32-bit hardware multiplies with the 64-bit result, 12 cycles interrupt latency results in very efficient data handling. The FFT composed of 1024 samples of single-precision (32 bit) floating-point type is calculated slightly less than 5 ms. The ARM Cortex-M4F processor is very well appropriated for mainly deterministic real-time applications, even for low-cost platforms [30, 31, 32, 33]. Microprocessor algorithms provide powerful digital signal processing to identify the digital signature of intruders walking, automotive, etc., through the detection range. Intruders entering the detection zone are monitored in real-time. Signal processing using application software in the periphery surveillance system is mainly consists of software design, pre-processing, computation, FFT, graphical interface, and control module [33, 34, 35, 36].
Figure 4 shows the radar waveform received from the digital oscilloscope. These are raw data received from the FMCW radar. There are two different lines in the A-scope graph, viz. the yellow line and the red line. The yellow line represents the data after DSP signal processing in the distance domain. Red line is the user configured threshold to cancel out noise detection. Based on the above, the radar application gives alarm for the distance domain. The signal program the user-configured threshold set value 250 to cancel out noise detection, and object target 5 m and distant object 10 m. The flow chart of the function of the periphery surveillance system implementation process used in the FMCW radar, PTZ camera, and wireless sensor network has been shown in Figure 5.
Output radar signal graph from the oscilloscope.
Flow chart of intelligent mine periphery surveillance system implementation process used in the FMCW radar.
The study area is Tirap Opencast Coal Mine, owned by North Eastern Coalfields (NEC) of Coal India Limited (CIL), located at the north-western end of the Makum Coalfield, Assam in India. The nearest township, Ledo, is about 3 km to the eastof Margherita. The headquarters of NEC is located at a distance of about 10 km. The national highway, NH38, forms the northern boundary of this colliery. The nearby railheads for the coalfield are Margherita, Ledo, and Baragolai on a broad-gauge line of the North-East Railway.
Generally, mine lease covers a wide area with a long lease boundary, and most of the boundaries are not fenced. Each mine has separate entry and exit gates which are the authorized routes for vehicle transportation and mine personnel. Entry through these authorized routes is usually controlled by installing an access control system comprising radio frequency identification (RFID) tags, RFID reader, Internet protocol (IP) based motorized boom barrier, signal lights, computer and integration software. The boom barrier opens the gate for entry or exit of the authorized vehicle or person only when the access control system reads the valid RFID tag assigned to the respective vehicle or person. Entry or exit through the rest of the significant mine lease boundary is unauthorized and prohibited. However, illegal mineral transportations are found from some mines through these unauthorized routes of mine boundaries. Hence, a periphery surveillance system has been developed by integrating radar, CCTV camera, wireless network, server and software for day and night surveillance of the mine lease boundary from a remote control room.
The system detects any vehicle or person entering through the particular unauthorized routes or boundary with simultaneous CCTV footage of the intrusion location. Further, it provides a real-time warning to the system’s operator in the control room regarding the intrusion along with CCTV footage of the incidence. It saves the intrusion location and video footage with a time stamp, and these records of the log can be retrieved any time for further analysis. Thus, the system detects all intrusions. The control room operator verifies each intrusion through the respective CCTV footage whether the intruder is an authorized or unauthorized vehicle or person.
Field installation of the periphery surveillance system has been conducted at Tirap Opencast Coal Mine of North Eastern Coalfields (NEC), having latitude 27°17′35.09″ N and longitude 95°46′10.29″ E. The microwave FMCW radar sensor and PTZ surveillance camera installed in the mine periphery of Tirap Opencast Coal Mine has shown in Figure 6.
The microwave FMCW radar sensor and integrated PTZ surveillance camera were installed in the mine periphery of Tirap Opencast Coal Mine.
An FMCW radar sensor, an integrated PTZ camera, and a wireless sensor network have been installed on few electric poles along with railway siding of the mine roadside. After the installation of the periphery surveillance system, the selected area has been kept under rigorous vigilance. There is multi-radar connectivity with a wireless network for real-time detection. Any intruding object can be detected through the sensor. The virtual framework of an integrated periphery surveillance system for opencast mine has been shown in Figure 7.
Virtual framework of an integrated periphery surveillance system for an opencast mine.
Suppose any unauthorized vehicle or any object is sensed to be entering into the boundary, in that case, wireless sensor nodes trigger an alarm and also send intrusion notifications to the central monitoring computer. The vehicle’s position or a target is traced by the transmitting sensor node. Furthermore, long-distance PTZ cameras installed along with the radar sensor provide actual pictures of the intruders. A centralized observation station consists of a large digital display, computer, server, GPS antenna, walkie-talkie, alarm, centralized continuous power supply, etc. The arrangement of an integrated periphery surveillance system deployment has been shown in Figure 8. It is also equipped with software modules to track and perform real-time assignments and operations. The radar sensor node is also attached to a central monitoring station via a wireless sensor network. This station performs various tasks such as initiation of geo-fencing for each truck, tracking vehicle movement throughout its transportation route, assigning trucks in real-time, etc. It is also responsible for monitoring operating threshold values for equipment and maintaining the database. The watching administrator also can communicate with the authorized supervisors about moving vehicles in the area. The central observing operator also generates an audible alarming signal in case of accidents, mineral theft, or illegal activities in the mine’s excavation area. Performance of the system was also evaluated during severe weather conditions like foggy weather, heavy rain and dusty environment. It has been found that the version of the radar is not significantly affected during the said severe weather conditions.
Architecture of mine periphery surveillance system deployment.
Figure 9 shows a snapshot for the distance-direction graph generated by using application software and a photograph taken by PTZ camera during these detections of incidences. The actual pictures are taken from the PTZ camera, real-time radar detection and distance graphs of different objects obtained during field experiments. Photographs show the presence of trucks and many persons. The interaction between the user and the high language software system has taken place in the application layer. It is implemented through a visual system simulator for front end simulation. The radar distance graph plots the continuous detection of intrusion along the mine periphery up to 400 m. The lines in different colors in the graphs correspond to the velocity and direction of varying mining vehicles or persons concerning the radar sensor’s location. The other color lines represent different moving and stationary objects. The radar sensor generates an integrated volumetric perimeter detection zone. The developed application software is set to trigger an alarm if the thing crosses the boundary lines or attempts to cross the detection zone.
View of real-time monitoring of the diverse position of periphery surveillance system at an opencast mine.
Figure 9 represents screenshots of continuous radar view and CCTV video surveillance of a control room screen installed in an opencast coal mine site. Each line shows the radar detection location for a particular vehicle or person. The movement of each intruder is shown in the form of the path in the graph, i.e., X and Y coordinate concerning the location of radar and its center line, as shown in the left side graph of Figure 9. When an intruder is in stationery position, there will be no variation of the intrusion detection path displayed in the control room screen. Further, the respective detection line vanishes automatically from the display screen when an intruder crosses beyond the length and width of the radar detection range.
Table 1 presents various data gathered by radar regarding trucks and different objects. This experimental fieldwork showcases the impact of real-time monitoring, tracking and sensing management systems using the developed application software. The developed method can capture single, double and multiple targets placed at various locations in the different test areas of a mine. Thus, it can detect the intruders and intruding objects like trucks and other vehicles to control illegal mining-related activities in the mining area.
Object ID | Quality | Distance in X- direction (m) | Distance in Y-direction (m) | Velocity of the object in X-direction (km h−1) | Velocity oftheobjectin Y-direction (km h−1) | Object type | Distance polar (m) | Speed polar (km h−1) | Angleof direction (°) |
---|---|---|---|---|---|---|---|---|---|
15038 | 1 | −50.5419 | 240.648 | −23.397 | 10.6527 | 0 | 245.898 | 0 | 11.8611 |
150183 | 8 | −55.6701 | 248.83 | −2.65974 | 8.75161 | 0 | 254.982 | 0 | 12.611 |
149785 | 9 | 3.01645 | 58.5682 | −0.167479 | −6.04272 | 0 | 58.6458 | 0 | −2.94831 |
The periphery surveillance system monitors parameters.
Real-time data from the FMCW radar information are saved in the database by the application software and are extracted as given in Table 1. This object target information includes the following:
Object ID is the identifier for a valid object, and it does not change during a lifetime.
Quality is the indicator for the track quality that equals 10 for best quality.
Distance X and distance Y denote the distance of the traced object from a reference point in X and Y-directions, respectively.
Velocity X and velocity Y represent the velocity of the tracked objects in X and Y-directions, respectively.
Polar distance denotes the distance from a reference point to the tracked object in polar coordinates.
Polar speed denotes the speed of the tracked object in polar coordinates.
The angle of direction indicates the angle of the tracked object to the reference point in degree (polar coordinates).
The developed intelligent mine periphery surveillance system is an effective and economical device that can keep constant vigilance over a selected area or a place even in adverse weather conditions like foggy weather, rainy season, dusty environment, etc. As the system is quite capable of detecting the position and movement of an object from a long distance, it would bebeneficialfor preventing (i) unauthorized intrusion of a vehicle or person into the mining area and thereby avoiding many safety and security problems, (ii) illegal transportation of coal and other minerals from the mining area especially where there is no boundary wall, (iii) detection of several other incidences such as surface mine fire due to burning of coal, etc. Thus, this surveillance system would undoubtedly go a long way in preventing financial loss of the mining industry due to mineral theft, and ensuring the safety and security of the mines.
The authors are grateful to the Ministry of Electronics and Information Technology, Government of India, for financial support to develop the surveillance system (Grant No. 13(2)/2013-CC&BT). They are also immensely indebted to the General Manager and other concerned officials of North Eastern Coalfields, Margherita, Assam, India to provide the necessary data, extend logistic support, and permit field experimentation of the developed system at Tirap Opencast Coal Mine. The authors are also thankful to the Director, CSIR-Central Institute of Mining and Fuel Research, Dhanbad, India, for his valuable guidance.
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Raygoza and Susana Ortega",authors:[{id:"18069",title:"Dr.",name:"Jorge",middleName:null,surname:"Rivera",slug:"jorge-rivera",fullName:"Jorge Rivera"},{id:"22689",title:"Prof.",name:"Luis",middleName:null,surname:"Garcia",slug:"luis-garcia",fullName:"Luis Garcia"},{id:"22690",title:"Prof.",name:"Christian",middleName:null,surname:"Mora",slug:"christian-mora",fullName:"Christian Mora"},{id:"23671",title:"Dr.",name:"Juan José",middleName:null,surname:"Raygoza",slug:"juan-jose-raygoza",fullName:"Juan José Raygoza"},{id:"23672",title:"Dr.",name:"Susana",middleName:null,surname:"Ortega",slug:"susana-ortega",fullName:"Susana Ortega"}]}],mostDownloadedChaptersLast30Days:[{id:"53024",title:"Key Aspects for Implementing ISO/IEC 17025 Quality Management Systems at Materials Science Laboratories",slug:"key-aspects-for-implementing-iso-iec-17025-quality-management-systems-at-materials-science-laborator",totalDownloads:2819,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Implementing a quality management system based on the requirements specified in ISO/IEC 17025 standard at materials science laboratories is challenging, mainly due to two main factors: (i) the high technical complexity degree of some tests used for materials characterization and (ii) the fact that most materials science laboratories provide materials characterization tests and also carry out research and development activities. In this context, this chapter presents key subjects while implementing a quality management system at materials science laboratories and some considerations on strategies for effectively implementing such systems.",book:{id:"5486",slug:"quality-control-and-assurance-an-ancient-greek-term-re-mastered",title:"Quality Control and Assurance",fullTitle:"Quality Control and Assurance - An Ancient Greek Term Re-Mastered"},signatures:"Rodrigo S. Neves, Daniel P. Da Silva, Carlos E. C. Galhardo, Erlon H.\nM. Ferreira, Rafael M. Trommer and Jailton C. Damasceno",authors:[{id:"20571",title:"Prof.",name:"Erlon H.",middleName:null,surname:"Martins Ferreira",slug:"erlon-h.-martins-ferreira",fullName:"Erlon H. 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The quality practices or quality management systems adopted by industries will further evolve due to the changes of quality concepts as time goes by. This chapter discusses the change of quality concepts and the related revolution of quality management systems in the past century. The quality concepts were gradually changed from the achievement of quality standards, satisfaction of customer needs, and expectations to customer delight. Since merely satisfying customers is not enough to ensure customer loyalty, the enterprises gradually focus on customers’ emotional responses and their delight in order to pursue their loyalty. The emotion of “delight” is composed of “joy” and “surprise,” which can be achieved as the customers’ latent requirements are satisfied. Thus, the concept of “customer delight” and the means to provide the innovative quality so as to meet the unsatisfied customers’ latent needs are elaborated on. Finally, a framework of innovation creation is developed that is based on the mining of customer's latent requirements. This outline will manifest the essential elements of the related operation steps.",book:{id:"5486",slug:"quality-control-and-assurance-an-ancient-greek-term-re-mastered",title:"Quality Control and Assurance",fullTitle:"Quality Control and Assurance - An Ancient Greek Term Re-Mastered"},signatures:"Ching-Chow Yang",authors:[{id:"11862",title:"Prof.",name:"Ching-Chow",middleName:null,surname:"Yang",slug:"ching-chow-yang",fullName:"Ching-Chow Yang"}]},{id:"62915",title:"Advanced Methods of PID Controller Tuning for Specified Performance",slug:"advanced-methods-of-pid-controller-tuning-for-specified-performance",totalDownloads:3468,totalCrossrefCites:10,totalDimensionsCites:16,abstract:"This chapter provides a concise survey, classification and historical perspective of practice-oriented methods for designing proportional-integral-derivative (PID) controllers and autotuners showing the persistent demand for PID tuning algorithms that integrate performance requirements into the tuning algorithm. The proposed frequency-domain PID controller design method guarantees closed-loop performance in terms of commonly used time-domain specifications. One of its major benefits is universal applicability for both slow and fast-controlled plants with unknown mathematical model. Special charts called B-parabolas were developed as a practical design tool that enables consistent and systematic shaping of the closed-loop step response with regard to specified performance and dynamics of the uncertain controlled plant.",book:{id:"6323",slug:"pid-control-for-industrial-processes",title:"PID Control for Industrial Processes",fullTitle:"PID Control for Industrial Processes"},signatures:"Štefan Bucz and Alena Kozáková",authors:[{id:"21933",title:"Ms.",name:"Alena",middleName:null,surname:"Kozakova",slug:"alena-kozakova",fullName:"Alena Kozakova"},{id:"213658",title:"Dr.",name:"Štefan",middleName:null,surname:"Bucz",slug:"stefan-bucz",fullName:"Štefan Bucz"}]},{id:"75699",title:"Data Clustering for Fuzzyfier Value Derivation",slug:"data-clustering-for-fuzzyfier-value-derivation",totalDownloads:291,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"The fuzzifier value m is improving significant factor for achieving the accuracy of data. Therefore, in this chapter, various clustering method is introduced with the definition of important values for clustering. To adaptively calculate the appropriate purge value of the gap type −2 fuzzy c-means, two fuzzy values m1 and m2 are provided by extracting information from individual data points using a histogram scheme. Most of the clustering in this chapter automatically obtains determination of m1 and m2 values that depended on existent repeated experiments. Also, in order to increase efficiency on deriving valid fuzzifier value, we introduce the Interval type-2 possibilistic fuzzy C-means (IT2PFCM), as one of advanced fuzzy clustering method to classify a fixed pattern. In Efficient IT2PFCM method, proper fuzzifier values for each data is obtained from an algorithm including histogram analysis and Gaussian Curve Fitting method. Using the extracted information form fuzzifier values, two modified fuzzifier value m1 and m2 are determined. These updated fuzzifier values are used to calculated the new membership values. Determining these updated values improve not only the clustering accuracy rate of the measured sensor data, but also can be used without additional procedure such as data labeling. It is also efficient at monitoring numerous sensors, managing and verifying sensor data obtained in real time such as smart cities.",book:{id:"9976",slug:"fuzzy-systems-theory-and-applications",title:"Fuzzy Systems",fullTitle:"Fuzzy Systems - Theory and Applications"},signatures:"JaeHyuk Cho",authors:[{id:"329648",title:"Prof.",name:"JaeHyuk",middleName:null,surname:"Cho",slug:"jaehyuk-cho",fullName:"JaeHyuk Cho"}]},{id:"39778",title:"GPS and the One-Way Speed of Light",slug:"gps-and-the-one-way-speed-of-light",totalDownloads:3476,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"2387",slug:"new-approach-of-indoor-and-outdoor-localization-systems",title:"New Approach of Indoor and Outdoor Localization Systems",fullTitle:"New Approach of Indoor and Outdoor Localization Systems"},signatures:"Stephan J.G. Gift",authors:[{id:"141106",title:"Prof.",name:"Stephan",middleName:null,surname:"Gift",slug:"stephan-gift",fullName:"Stephan Gift"}]}],onlineFirstChaptersFilter:{topicId:"115",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"77466",title:"Optimization of Model Predictive Control Weights for Control of Permanent Magnet Synchronous Motor by Using the Multi Objective Bees Algorithm",slug:"optimization-of-model-predictive-control-weights-for-control-of-permanent-magnet-synchronous-motor-b",totalDownloads:138,totalDimensionsCites:0,doi:"10.5772/intechopen.98810",abstract:"In this study, the model predictive control (MPC) method was used within the scope of the control of the permanent magnet synchronous motor (PMSM). The strongest aspect of the MPC, the ability to control multiple components with a single function, is also one of the most difficult parts of its design. The fact that each component of the function has different effects requires assigning different weight coefficients to these components. In this study, the Bees Algorithm (BA) is used to determine the weights. Using the multi-objective function in BA, it has been tried to determine the weights that reduce the current values together with the speed error. Three different PI controllers have been designed to compare the MPC method. The coefficients of one of these are tuned with BA. Good Gain Method and Tyreus-Luyben Method were used in the other two. As a result of experimental studies, it has been observed that MPC can control PMSM more smoothly and accurately than PI controllers, with weights optimized with BA. With MPC, PMSM has been controlled with 15% settling time than other controllers and also with no overshoot.",book:{id:"10778",title:"Model-Based Control Engineering - Recent Design and Implementations for Varied Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10778.jpg"},signatures:"Murat Sahin"},{id:"78164",title:"Use of Discrete-Time Forecast Modeling to Enhance Feedback Control and Physically Unrealizable Feedforward Control with Applications",slug:"use-of-discrete-time-forecast-modeling-to-enhance-feedback-control-and-physically-unrealizable-feedf",totalDownloads:60,totalDimensionsCites:0,doi:"10.5772/intechopen.99340",abstract:"When the manipulated variable (MV) has significantly large time delay in changing the control variable (CV), use of the currently measured CV in the feedback error can result in very deficient feedback control (FBC). However, control strategies that use forecast modeling to estimate future CV values and use them in the feedback error have the potential to control as well as a feedback controller with no MV deadtime using the measured value of CV. This work evaluates and compares FBC algorithms using discrete-time forecast modeling when MV has a large deadtime. When a feedforward control (FFC) law results in a physically unrealizable (PU) controller, the common approach is to use approximations to obtain a physically realizable feedforward controller. Using a discrete-time forecast modeling method, this work demonstrates an effective approach for PU FFC. The Smith Predictor is a popular control strategy when CV has measurement deadtime but not MV deadtime. The work demonstrates equivalency of this discrete-time forecast modeling approach to the Smith Predictor FBC approach. Thus, this work demonstrates effectiveness of the discrete-time forecast modeling approach for FBC with MV or DV deadtime and PU FFC.",book:{id:"10778",title:"Model-Based Control Engineering - Recent Design and Implementations for Varied Applications",coverURL:"https://cdn.intechopen.com/books/images_new/10778.jpg"},signatures:"Derrick K. 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\r\n\tScientists have long researched to understand the environment and man’s place in it. The search for this knowledge grows in importance as rapid increases in population and economic development intensify humans’ stresses on ecosystems. Fortunately, rapid increases in multiple scientific areas are advancing our understanding of environmental sciences. Breakthroughs in computing, molecular biology, ecology, and sustainability science are enhancing our ability to utilize environmental sciences to address real-world problems.
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\r\n This topic aims to provide a comprehensive overview of the latest trends in Oral Health based on recent scientific evidence. Subjects will include an overview of oral diseases and infections, systemic diseases affecting the oral cavity, prevention, diagnosis, treatment, epidemiology, as well as current clinical recommendations for the management of oral, dental, and periodontal diseases.
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Her qualifications are: a specialist in Dental Imaging and Radiology, Master in Dentistry (Periodontics) from the University of São Paulo (FORP-USP, Ribeirão Preto, SP), and Doctor (Ph.D.) in Dentistry (Stomatology Clinic) from Hospital São Lucas of the Pontifical Catholic University of Rio Grande do Sul (HSL-PUCRS, Porto Alegre, RS). She held a postdoctoral internship at the Federal University from Jequitinhonha and Mucuri Valleys (UFVJM, Diamantina, MG). She is currently a member of the Brazilian Society for Dental Research (SBPqO) and the Brazilian Society of Stomatology and Pathology (SOBEP). Dr. Marinho's experience in Dentistry mainly covers the following subjects: oral diagnosis, oral radiology; oral medicine; lesions and oral infections; oral pathology, laser therapy and epidemiological studies.",institutionString:null,institution:{name:"State University of Paraíba",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,series:{id:"3",title:"Dentistry",doi:"10.5772/intechopen.71199",issn:"2631-6218"},editorialBoard:null},onlineFirstChapters:{paginationCount:17,paginationItems:[{id:"82184",title:"Biological Sensing Using Infrared SPR Devices Based on ZnO",doi:"10.5772/intechopen.104562",signatures:"Hiroaki Matsui",slug:"biological-sensing-using-infrared-spr-devices-based-on-zno",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:[{name:"Hiroaki",surname:"Matsui"}],book:{title:"Biosignal Processing",coverURL:"https://cdn.intechopen.com/books/images_new/11153.jpg",subseries:{id:"7",title:"Bioinformatics and Medical Informatics"}}},{id:"82122",title:"Recent Advances in Biosensing in Tissue Engineering and Regenerative Medicine",doi:"10.5772/intechopen.104922",signatures:"Alma T. 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He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/57851",hash:"",query:{},params:{id:"57851"},fullPath:"/chapters/57851",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()