Statistical descriptive of all years.
\\n\\n
More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\\n\\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\nAdditionally, each book published by IntechOpen contains original content and research findings.
\\n\\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\\n\\n\\n\\n
\\n"}]',published:!0,mainMedia:{caption:"IntechOpen Maintains",originalUrl:"/media/original/113"}},components:[{type:"htmlEditorComponent",content:'
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\nSimba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\nIntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\nSince the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\nMore than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\nOur breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\nAdditionally, each book published by IntechOpen contains original content and research findings.
\n\nWe are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n\n\n
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\r\n\tBecause of the rapid growth of sustainable energy, energy technologies have garnered a lot of interest. Biodiesel has been recognised as a sustainable means of reducing reliance on fossil fuels and a solution to address the rising problem of global climate change policy. The monoalkyl esters of vegetable oils or animal fats are referred to as biodiesel. In comparison to petroleum-based diesel, biodiesel would provide benefits of non-toxicity, biodegradability, better air quality after combustion owing to reduced harmful emissions, energy security, and safety to handle, store, and transport, among others. The goal of this book is to explore the science in this field and educate the reader on a wide range of technologies for converting third and fourth-generation feedstocks to sustainable advanced biodiesels. The key sections address the overview of biodiesel production, technologies, innovative technologies for the latest generation of biodiesels, and socioeconomic and life cycle analysis of advanced biodiesel. In recent years, the advanced biorefinery idea has received a lot of interest as a model of decentralised production of advanced biodiesels, especially in rural regions. Such decentralised, small-to-medium scale biorefineries seem to have the most promise for expanding biodiesel production and hastening rural economic revival. Acquiring fresh scientific information and quickly integrating new knowledge and experience into plans and activities are critical in the renewable energy sector's dynamics. It is vital to equip experts, policymakers, and the general public with relevant and timely information so that they may make educated choices.
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His research interests stem from the PhD in the combustion of renewable fuels he completed at the University of New South Wales in 2019, where he focused on the reduction of emissions (particularly PM/soot) from diesel combustion. Dr IMR Fattah was named one of the Top 2% of Scientists in the World in 2021 by Elsevier BV and Stanford University. He was also featured as one of the 'Research Rising Stars' (Top 40 researchers who are less than 10 years into their careers) for his outstanding achievements in a September 2019 Special Report by 'The Australian'. He is actively engaged in the field by publishing over 80 articles and gaining over 5900 citations of his works. He is serving as an 'Associate Editor' at 'Frontiers in Energy Research' and as an editorial board member at ''Energies (MDPI)', ''Highlights of Sustainability (Highlights of Science)’ and ‘Advances in Environmental and Engineering Research (LIDSEN Publishing)’. 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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"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"117",title:"Artificial Neural Networks",subtitle:"Methodological Advances and Biomedical Applications",isOpenForSubmission:!1,hash:null,slug:"artificial-neural-networks-methodological-advances-and-biomedical-applications",bookSignature:"Kenji Suzuki",coverURL:"https://cdn.intechopen.com/books/images_new/117.jpg",editedByType:"Edited by",editors:[{id:"3095",title:"Prof.",name:"Kenji",surname:"Suzuki",slug:"kenji-suzuki",fullName:"Kenji Suzuki"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3828",title:"Application of Nanotechnology in Drug Delivery",subtitle:null,isOpenForSubmission:!1,hash:"51a27e7adbfafcfedb6e9683f209cba4",slug:"application-of-nanotechnology-in-drug-delivery",bookSignature:"Ali Demir Sezer",coverURL:"https://cdn.intechopen.com/books/images_new/3828.jpg",editedByType:"Edited by",editors:[{id:"62389",title:"PhD.",name:"Ali Demir",surname:"Sezer",slug:"ali-demir-sezer",fullName:"Ali Demir Sezer"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"872",title:"Organic Pollutants Ten Years After the Stockholm Convention",subtitle:"Environmental and Analytical Update",isOpenForSubmission:!1,hash:"f01dc7077e1d23f3d8f5454985cafa0a",slug:"organic-pollutants-ten-years-after-the-stockholm-convention-environmental-and-analytical-update",bookSignature:"Tomasz Puzyn and Aleksandra Mostrag-Szlichtyng",coverURL:"https://cdn.intechopen.com/books/images_new/872.jpg",editedByType:"Edited by",editors:[{id:"84887",title:"Dr.",name:"Tomasz",surname:"Puzyn",slug:"tomasz-puzyn",fullName:"Tomasz Puzyn"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"71416",title:"Oncological, Vascular, and Spinal Uses of Contrast-Enhanced Ultrasound in Neurosurgery",doi:"10.5772/intechopen.91320",slug:"oncological-vascular-and-spinal-uses-of-contrast-enhanced-ultrasound-in-neurosurgery",body:'Neurosurgery is experiencing the rediscovery of intraoperative ultrasound (ioUS). In particular, growing enthusiasm was shown after the introduction of contrast-enhanced ultrasound (CEUS) in the field of neuro-oncology, following the leads of other surgeries such as thyroid and hepatic surgery. Besides this pioneering use in brain and spinal oncology, other applications including stroke, brain traumatology, vascular neurosurgery, and peripheral nerve surgery [1, 2, 3, 4, 5, 6, 7, 8, 9] were reported.
Those experiences in literature proved the integration of ioUS and CEUS to be a valuable tool in different neurosurgical scenarios: it provides a truly real-time, feasible, and modern intraoperative imaging technique, allowing the assessment of unexposed, hidden, anatomical, and pathological structures [10] in both traditional and emerging settings.
Standard B-mode ultrasound has been presented since several years in many neurosurgical operating rooms: it represented de facto one of the first tools to study anatomy through unexposed, hidden, parenchymal tissues. For this reason, it is incorrect to classify ioUS/CEUS use as an innovation, being it more a rediscovery: ioUS has been employed in neurosurgery since the 1960s [11], and it granted intraoperative imaging and navigation well before more evolved technologies, such as intraoperative CT (iCT), intraoperative MRI (iMRI), indocyanine green video angiography (ICG-VA), and navigation, were broadly available [12, 13, 14, 15]
Nonetheless, significant limitations of ioUS as a reliable and feasible application in neurosurgery were represented by both imaging interpretation, unfamiliar to neurosurgeons, and artifacts related to manipulation. A good evidence of this is that as surgical resection advances, the ioUS image quality decreases: due to surgically induced artifacts and edema, imaging interpretation becomes challenging [1]. Moreover, all information provided by ultrasound (US) relies on echogenicity of insonated structures: no dynamic information, such as overall vascularization, is given through standard B-mode ultrasonography.
Even though the aforementioned limitations could have prevented further research, major technological advancements in the US field, such as image fusion for navigation, CEUS, and elastosonography, have been developed; new applications in their usage in neurosurgery, although on a small scale, have constantly been achieved and reported in recent years [16, 17, 18, 19, 20].
Being capable of highlighting tumor tissue not relying on its echogenicity but on its vascularization, CEUS has been specifically found to be a versatile innovation. Introduced in other medical branches, such as hepatic oncological surgery, the technique is feasible in both diagnostic and intraoperative settings: it allows practitioners to differentiate between benign and malignant lesions, helps in localizing the target, and controls treatment efficacies [10, 19].
On the heel of these observations, CEUS intraoperative experiences have been borrowed to neurosurgery to overcome the strains of standard B-mode US imaging.
CEUS is a harmonic imaging modality that depicts the distribution of microbubble contrast agent in tissues. Thanks to their structure, sulfur hexafluoride-filled lipidic microbubbles cannot diffuse to the interstitial space, giving a representation of the vascular district only. The degree of contrast enhancement (CE) is a consequence of the density of the capillaries, which in turn is proportional to tissue activity [19, 21].
Microbubbles are visible through a contrast-specific algorithm that permits a real-time assessment of contrast enhancement, measurement of vascularity of focal lesions during different dynamic phases, and analysis of tissue perfusion; CEUS algorithm suppresses the linear US echo, thus producing a specific representation only of the microbubbles. In other words, images are a direct representation of vascularization and become independent from tissue echogenicity. Furthermore, microbubbles, being micron-sized, are not able to extravasate from vessels and behave as a purely intravascular contrast agent, allowing to study all vascular tree districts: arterial, venous, and capillary [19, 22]. On these bases, CEUS has been introduced in neurosurgery for the intraoperative visualization of brain tumors: it is a dynamic modality which permits to visualize them according to their degree of vascularization [1, 23].
This first application has led to the following use in a variety of neurosurgical fields. As shown in the herein presented review, a consistent literature has been published describing CEUS use in settings other than cerebral neuro-oncology, including spinal oncology, vascular neurosurgery (cerebral and spinal), TBI, and pediatric and peripheral nerve surgery.
Besides their undisputed value, traditional intraoperative imaging techniques (CT scan and MRI) have several limitations, including costs, temporary stop of surgical procedure, and time wasting. These important strains make iCT and iMRI hardly repeatable during surgery [12, 24].
Conversely, as demonstrated by several experiences, CEUS/ioUS is a feasible intraoperative imaging technique, as it is readily repeatable, dynamic, and inexpensive and provides a truly real-time dynamic visualization of anatomical characteristics and vascular patterns in several neurosurgical settings. Assessment is rapid, can be performed any time during surgery, and is independent of brain shift [4, 8, 9, 10, 20].
Besides, microbubbles do not only allow the visualization of high-definition intraoperative images after craniotomy but, as reported later, can enhance the resolution of intracranial arteries also in transcranial studies at bedside [25, 26, 27].
Figure 1 summarizes the major fields of application of CEUS in neurosurgery.
Diagrammatic representation of the fields of application of CEUS in neurosurgery.
The use of CEUS during neuro-oncological procedures has been recently included in the guidelines from the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB), representing a paradigm shift for the use of US in neurosurgery [28](Figure 2).
B-mode CEUS evaluation of a high-grade glioma. The microbubble contrast medium allows to visualize the tumor parenchyma with its necrotic non-enhancing component. In advanced phases of resection, CEUS can be repeated to identify inadvertent residuals.
In comparison with other imaging modes, CEUS showed itself as a rapid, practical, and cost-effective technique, suggesting additional and alternative information about brain tumor vasculature and perfusion, being B-mode limited in providing only morphological information regarding the lesion. In their seminal study, Prada et al. [29] demonstrated how, once enhanced, the tumor is highlighted and reveals other specific characteristics of both low-grade gliomas (LGGs) and high-grade gliomas (HGGs).
LGGs show a mild, dotted CE with diffuse appearance and blurred margins. Arterial feeders are usually not identifiable, microbubble transit is regular and organized, and venous drainage is diffuse through numerous capillaries and consequently not discernible. Relying not on its echogenicity but upon vascularization, CEUS proved to be particularly valuable in differentiating oncological tissue from surrounding edema, thus helping in depicting the true limits of infiltration [30, 31].
HGGs have a high CE with a more nodular, nonhomogeneous appearance and fast perfusion patterns, with a rapid CE, marked by rapid arterial phase, very fast CE peak, and chaotic transit of microbubbles within the lesion. The arterial supply was clearly visible, showing many macrovessels within the lesion and a typical peripheral enhancement that moved toward the inner areas of the lesion. The venous phase was rapid (5–10 seconds), and the venous drainage system was diffuse, with multiple medullary veins aiming toward the periventricular zone. CEUS in HGGs is useful in differentiating solid from cystic components. In the specific case of glioblastomas (GBMs), CEUS CE is consistent in proliferating areas, and, on the contrary, no CE at all is seen in necrotic zones and surrounding brain parenchyma. Two CE patterns are identifiable in GBM: (1) heterogeneous with nodular high CE spots interspersed by low CE areas of necrosis and (2) peripheral rim CE surrounding a central core of necrosis without CE. In all cases, GBM shows a clearly demarcated border after UCA administration due to the different vascularization of the tumor and healthy brain parenchyma [29](Figure 3).
CEUS visualization of lesion’s vascular characteristics of a hemangiopericytoma of the cauda equina after CEUS—The exams depict the main feeders afferent to the lesion (red arrowheads) and the main venous drainage outgoing the lesion (blue arrows). The tumor is highly and rapidly enhancing after intraoperative contrast administration confirming its highly vascularized characteristics. Vessels not directly related to the tumor and belonging to conus medullaris can be identified (green asterisk).
Highlighting the residual tumor tissue with great accuracy and overcoming the difficulties of ultrasound interpretation caused by artifacts, edema, and surgical manipulation [10, 23, 32], CEUS has been demonstrated valuable in guiding tumor resection. In conclusion, the introduction of CEUS embodies one of the most recent innovations in HGG surgery.
Furthermore, in a series of publications, CEUS showed its capability in identifying tumor remnants after HGG surgery [10, 23, 30]. These are generally defined as nodular tissue at the edges of the surgical cavity, depicting an early and persistent enhancement, compared to the surrounding brain parenchyma. Because of artifacts due to surgical manipulation, B-mode evaluation alone can show unclear results if performed after neurosurgical resection. In the advanced phase of surgery, CEUS can fill the gap left by ioUS, guiding the surgeon also in the final survey at the end of the procedure [33]. Moreover, US is independent of brain shift, and this grants useful information to surgeons throughout the procedure also in advanced phases of resection, such as final survey at the end of the procedure.
CEUS potential in detecting inadvertent residuals proved particularly effective in a 5-ALA-guided setting [10], where the resection is built with the 5-ALA assistance, and CEUS supplementary supports the surgeon by providing information before and after resection. Incomplete resections also in a 5-ALA setting can indeed result from residual tumor covered by blood, cottonoid, or overlapping normal brain: in these scenarios it does not light up under blue light conditions and can be missed [34, 35, 36, 37]. Moreover, in deep fields or conditions of non-orthogonal working corridors, microscope light might fail to thoroughly illuminate the surgical field, resulting in blind corners facilitating a partial removal. Thus, CEUS final survey has a role of refinement of the 5-ALA procedure by identifying sub-centimetric remnants. The two techniques approach the surgical field from a different point of view: 5-ALA fluorescence is a result of direct microscope illumination, whereas ultrasounds investigate through brain tissue, depicting also distant, unexposed, hidden cerebral or neoplastic anatomy. Indeed, they observe two different phenomena: 5-ALA is an expression of glial cell metabolism, whereas CEUS is a consequence of pathological tumor vascularization. When integrated, these complementary techniques increase the chance of identifying neoplastic residual tissue.
CEUS-assisted intraoperative imaging does not modify the overall surgical procedure, as it does not interrupt the central phase of surgery and the overall surgical strategy, is not time demanding, and does not require expensive equipment; these considerations are surely important, especially when compared with other intraoperative imaging techniques.
Also, CEUS provides other valuable information to identify vascular supply, giving further insight into the surgical strategy, facilitating vascular deafferentation and removal, and thus maximizing resection voiding neurological sequelae resulting from damaged healthy brain tissues or vessels [38].
Serious weaknesses of CEUS in vascularization assessment are angle of insonation susceptibility, low-flow veins not always visible, and small vessel overestimation due to blooming artifacts that scatter color signals nearby the vessel margins [17]. Possible limitations in the assessment of resection margin are evaluating the tumor removal degree of patients with recurrent gliomas or patients with gliomas after radiotherapy [39].
CEUS can also be compared with perfusion MRI in both preoperative and postoperative settings: US offers a morphologic representation of GBM similar to the one provided by preoperative gadolinium-enhanced T1-weighted MRI [40]. Several experiences in literature compared, instead, CEUS with pMRI in a postoperative setting [41, 42] and suggested it as a cost-effective method in evaluating changes in tumor vascularity during the follow-up period in patients with brain tumors who are undergoing radiotherapy, chemotherapy, or antiangiogenic therapy.
When combined with fusion imaging including US with MRI, CEUS has several advantages over B-mode alone [43, 44]:
Detection of poor sonographic visibility tumor.
Better recognition of the tumor and edema tissue compared with reconstructive preoperative coplanar-enhanced MRI in real time and multiplane from different angles.
Application by neurosurgeons who lack the expertise in US technology as an easier way to discern the structure of the brain.
Improved orientation and compensation for the brain shift.
Recent reports highlighted other potential applications of CEUS in cranial oncological surgery, although these experiences are still anecdotal with few cases reported. Apart from the evaluation of intraoperative resection control, CEUS has been used as biopsy guidance to correctly localize the needle and target the most representative samples for pathology [5, 45] or to guide and assess hemodynamic effects after intraoperative embolization of highly vascularized tumors such as hemangioblastomas [20, 38]. In addition, CEUS use can space from a bedside technique adding helpful information not only in noninvasive staging of tumors but also in differentiating tumor recurrence from radionecrosis as postulated by Vicenzini et al. [46] and Mattei et al. [47]; relying on microbubble diffusion through vascularization radionecrosis shows a completely different, poorer, enhancement pattern compared to HGGs.
CEUS has thus proven its utility in:
Highlighting tumors and their phases compared to brain parenchyma [42].
Assessing vascularization and degree of overall perfusion [29, 30].
Showing vascular rearrangement that takes place with tumor removal [17].
Highlighting residual tumor (especially feasible in a 5-ALA setting) [10, 30, 39].
Aiding surgical decision-making through serial imaging assessment of surgical anatomy [5, 7, 41, 42].
Helping in differential diagnosis of radionecrosis with neoplastic tissue due to its lack of contrast enhancement [46, 47].
Guiding to intraoperative biopsy and tissue sampling [5, 45]
Primary spinal tumors are relatively rare lesions, for which MRI represents the gold standard for diagnosis. Nevertheless, MRI may not always differentiate accurately between different types of intramedullary tumors: even if not well defined nor standardized, the role of CEUS in this surgical field appears as a problem solver. Even though a small number of cases were reported, it has proven to be a simple and relatively inexpensive technique representing a real-time dynamic procedure that can be performed during a spinal tumor surgery. Its benefits include:
Better characterization of the location of the intramedullary lesions [49, 50].
Easier identification of vascular structures, giving further insight in vascular deafferentation and then surgical removal [8, 9, 49, 50].
Possible combination with color Doppler to better identify the main arterial feeders and draining vessels [8, 9].
As for HGG surgery, CEUS helps in the identification of inadvertent remnants [8].
The important drawbacks in this setting are:
Providing an angiogram-like display of the parent and downstream vessel segments in high spatial resolution, CEUS might be a feasible tool for both aneurysm and arteriovenous malformation (AVM) treatment. Indeed, it could implement their intraoperative management by providing real-time imaging: this is true both in the visualization of the vascular supply before the intervention and in flow assessment at the end of the procedure [51]. Furthermore, since it allows the identification of target vessels even when covered by brain parenchyma, it could be synergistically used with ICG-VA, which relies on direct vessel visualization, in situations in which a complex approach is required [13, 52].
Focusing on aneurysms, CEUS was found particularly useful in occlusion follow-up after endovascular treatment. As opposed to a neuro-oncological setting, in which CEUS examination can be performed only after craniotomy, in the vascular setting, it can amplify vessel resolution also during transcranial examination. CEUS can selectively monitor intracranial aneurysms and detect refilling rate in aneurysms with a minor neck remnant. In the end, they suggested to perform transcranial color-coded duplex sonography (TCCS) examination with contrast enhancement at the time of initial surveillance with digital subtraction angiography (DSA) and, if findings were similar, to undertake an additional follow-up by TCCS alone until changes in aneurysm status. Transcranial examination is cost-effective, rapid, easily repeatable, and feasible compared to standard digital subtraction angiogram or angio-MRI monitoring.
To summarize, CEUS in the setting of intracranial aneurysms has the following advantages:
Accurate display of flow direction and velocity.
Increased focus and resolution, allowing detection of very low flow as often presented in coiled aneurysms.
Gives the possibility to be performed immediately as a control examination in the intensive care unit (ICU).
Produces less severe metal artifacts compared to other imaging modalities.
The main drawback underlined in both papers was the limited acoustic window in aneurysms located outside the circle of Willis, despite the introduction of contrast agent [25, 26].
In dural arteriovenous fistula (dAVF) surgery, both cranial and spinal, one of the most important steps is the correct identification of the fistulous site [53, 54, 55]. In the two reported cases [4, 56], CEUS allowed both pre- and post-ligation real-time visualization of site of the fistula and blood flow changes occurring in the spinal cord and perimedullary plexus. Not only it does encompass the limitations of Doppler imaging, which can be used simultaneously to confirm the type of flow and flow dynamics, but, as already in the case of aneurysms, it might be integrated with other imaging modalities such as fluorescence [11, 51]. However, larger series are needed to determine the significance of this tool in the obliteration of intradural spinal dAVFs [51] (Figure 4).
B-mode and color Doppler visualization of a spinal dAVF characteristic. Epidural standard B-mode imaging showing the spinal cord anatomical proportional plan features: Green arrow, dura mater; blue arrow, peridural venous plexus; yellow arrow, spinal cord gray matter; white arrow, spinal cord white matter; red arrows, vertebral arteries. Color Doppler sonography displaying radicular artery (red arrow) and engorged peridural veins (blue arrows) with a turbulent flow. Doppler US confirms the arterialized nature of peridural plexus veins. After CEUS administration the main feeders afferent to the lesion can be observed and the main venous arterialized drainage outgoing the lesion (red arrows), thus identifying fistulous point. Peridural venous vessels not directly related to the dAVF are not visualized at this early arterial stage (arterial stage).
Pioneer experiences have recently been reported also in AVM surgery. Providing an angiogram-like display of the parent and downstream vessel segments in high spatial resolution, CEUS is a feasible tool for both aneurysms and AVM treatments. Indeed, it could implement their intraoperative management by providing real-time imaging: this is true both in visualization of the vascular supply before the intervention and in flow assessment at the end of the procedure. Furthermore, since it allows the identification of target vessels even when covered by the brain parenchyma, it has been proposed as a complement to standard ICG-VA.
The integration of color Doppler sonography and CEUS allows to:
Accurately display flow direction and velocity within the nidus and in surrounding vessels
Identify AVM feeders from non-AVM-related vessels
Evaluate the flow modifications produced into the nidus after temporary occlusion of feeders
Assess completeness of devascularization and eventual residual flow to the AVM
Assess restored venous flow into surrounding veins before dissection and isolation of the venous compartments of the malformation
Knowledge of the vascular characteristics of the AVM and the relationships of the nidus with the brain parenchyma is mandatory during these complex surgical procedures; hence, the real-time identification of the feeding arteries and draining veins is surely valuable during surgery. Basically, the operative strategy is guided throughout the procedure by several CEUS assessments with temporary clipping of the feeding vessel, and real-time confirmation of the hemodynamic modification inside the nidus is semiquantitatively evaluated both by means of color Doppler US and CEUS. This reduces the risk of inadvertently sacrificing parenchymal non-AVM-related arterial vessels (Figure 5).
CEUS and color Doppler US evaluation of an AVM, in which main arterial feeders (red arrows) can be identified, as well as the nidus (green arrow) and venous drains (green arrow). Color Doppler shows the flow direction, arterial vs. venous flow, and confirms turbulent flow within the malformation.
In advanced phases of dissection, CEUS allows the surgeon to:
Spatially identify in which area of the nidus residual flow is present.
Establish a gross estimation of the overall residual flow within the malformation (as CEUS enhancement is directly proportional to flow).
Furthermore, the restored venous flow into AVM draining veins can be reliably identified providing a final confirmation of completeness of nidal deafferentation, before the procedure is completed.
An adequate supply of blood containing oxygen and nutrients is crucial for the recovery and survival of brain tissue. Monitoring of cerebral perfusion is essential in the prevention of secondary brain damage in patients with acute brain injury. CEUS has been suggested as a new method to measure cerebral perfusion in patients both with acute brain injury at the ICU and in the acute state of cerebral ischemia. The technique has a high temporal resolution which can be used at the bedside; moreover, the contrast enhancement can be used for visualization of the cerebral vasculature to overcome the restricted level of acoustic intensity. However, in this context the accuracy of CEUS for the detection of hyperperfusion has not yet been assessed.
This aligns with the idea that for patients after ischemic stroke, CEUS may serve as an additional clinical tool for the bedside evaluation of brain tissue perfusion and response to recanalization therapy, with more efforts to be made to improve its reliability [57, 58, 59]. However, when it comes to this clinical application, two key problems arise:
Different protocols were used by the involved research groups, and, more crucial, patients presenting with acute stroke were examined at different time windows.
Patients with insufficient insonation conditions were excluded in advance, and the percentage of stroke patients for which the technique could represent a consistent improvement remains questionable. Indeed, in cited studies [57, 58, 59], one of the inclusion criteria was a sufficient temporal acoustic window for conventional transcranial color-coded sonography.
As a last note, CEUS can be used as a follow-up strategy in stroke patients: it is a fast and repeatable bedside technique [3]. However, these potential advantages are undermined by (1) a small sample of studies; (2) non-validated comparison with the other imaging technique already in use in this particular area; and (3) the need for specific ecographic equipment.
Carotid atherosclerotic disease represents a major current health problem accounting for approximately 20% of all cases of cerebral ischemia. Risk stratification and patient management are traditionally based on the presence or absence of symptoms and the degree of stenosis, both of which have been found to correlate with the occurrence of stroke. US is the cornerstone of both screening and diagnostic approach of carotid disease, and introduction of CE has been providing promising results, leading to the publication of recommendation of use [28, 60]. An impressive number of works demonstrated CEUS is a feasible and effective tool to:
Analyze plaque morphology and characteristics [61]
Identify vulnerable plaques and detect neovascularization [62, 63, 64, 65]
Perioperatively assess the procedure to be performed [66, 67, 68]
Moreover, a comparison and a proof of the relationship between CEUS and 3DT1-WI MRI plaque imaging were recently published [69]. However, on board with the purpose of this review, we decided to focus only on those works in which a prospective relationship between CEUS on carotid intraplaque neovascularization and ischemic stroke was analyzed. The grade of contrast enhancement was an independent risk factor for ischemic stroke or recurrent transitory ischemic attack. Therefore, the grade of CEUS contrast enhancement could become a predictive index of ischemic stroke, identifying those patients in need of an effective treatment. A potential source of bias coming from the exclusive selection of large plaques, a semiquantitative grading system, and a relatively small sample size are however important limitations associated with this finding.
CEUS has reached in recent years a wide utilization in various neurosurgical fields, mainly in neuro-oncological surgery. Despite its main limitations in being an operator-dependent technique and its shared drawbacks with US technology, it revealed itself as a promising tool: CEUS is comparable and complementary to traditional imaging techniques, allows for a serial assessment, is easily performable in different settings, and has a wide range of future applications yet to be explored.
Natural disasters cause loss of human life and damage to infrastructure every year throughout the world. In Algeria, extreme rains are the source of flooding which can cause catastrophic damage both in inhabited areas and in the countryside.
One of the basic problems encountered in meteorology is the need to assess the meteorology risk caused by extreme precipitation in order to avoid human and material losses. Thus, the location and severity of floods can be determined.
In the twenties to the middle of the last century, the theory of extreme values has witnessed a remarkable development [1, 2, 3] most studies focused on the monthly or yearly mean values and we find their application in many fields like; rainfall in Algeria [4, 5], extreme precipitations in Argentina [6] Mapping snow depth return levels [7], precipitation and temperature [8, 9].
On the other hand, a lot of studies say there is a great spatial difference in rainfall [10] for this reason it was used interpolation methods, the kriging method is considered as the most used for spatial interpolation of rainfall [11, 12, 13], the kriging method has a special feature which is complementing the sparsely sampled primary variable, in the case of secondary variable there is another method called cokriging that outperforms the kriging method [14].
According to [15] In order to examine the spatiotemporal variations of meteorological variables there is a statistical method that allows to apply multiple strategies by cluster analysis to pinpoint the similar places, local and universal meteorology techniques which has been raising lately.
Our goal in this chapter is to compare the two methods kriging and co-kriging using the GEV and determine the location and severity of floods in all regions of Algeria.
The cumulative distribution function is proposed by [16].
By deriving the Eq. (1) we get the density function
The logarithm of the likelihood function is given by:
For
For
3 and 4 with differentiating the two parameters:
The return period, also known as a recurrence interval is the estimated average time between events such as earthquakes, floods, landslides, or river floods. From Eq. (1) we can write the return level as following:
Various parameter variogram models have been used in the literature. Here is some of the most popular content.
The Spherical model has linear behavior at small separation distances near the origin, but flattens at large distances, which means that it shows a gradual decrease in spatial dependence until a certain distance beyond which the spatial dependence tends to smooth.
Where c0 is the nugget effect. The sill is c0 + c1. The range for the spherical model can be computed by setting g(h) = 0.95(c0 + c1).
The Gaussian model is used when the data exhibits strong continuity at short lag distances which means the spatial correlation is very high between two neighboring points.
The precipitation data used in this study are for the National centers for environmental information NOAA of USA, this data used especially in cases where surface data are difficult to obtain or insufficient. Our data represented by the annual daily maximal of rainfall from1979 to 2012 calculated in the 856 Algerian stations (Figure 1).
A map of Algeria showing rainfall stations.
The preliminary analysis of the annual maximum precipitation data during the analysis period (1979–2012) included descriptive statistical calculations (Table 1 and Figure 2). More precisely, we calculated the minimum (Min), the maximum (Max), the mean (Mean), the standard deviation (std.dev) and the coefficient of variation (coef.var). Table 1 presents the values of the descriptive statistics for the annual time series of maximum precipitation for all stations (from 1979 to 2012). The results show that the maximum values is observed in the years 1982, 1992, 1994, 2001, 2006, and 2007, while the mean and highest values are observed in 1982 (Figure 2). The lowest value of coef.var. is for the year 1996 (68%), and the highest for 1984 (14%). On this basis, the observed data showed that all years had a coef.var. greater than 68%, highlighting the high variability of annual maximum precipitation over Algeria.
0.59 | 88.07 | 13.46 | 11.23 | 0.83 | 2.93 | 69.38 | 13.75 | 9.39 | 0.68 | |||
1.34 | 63.85 | 12.88 | 11.89 | 0.92 | 1.27 | 63.63 | 10.84 | 8.89 | 0.82 | |||
0.84 | 79.32 | 9.94 | 8.88 | 0.89 | 0.31 | 57.40 | 7.76 | 8.49 | 1.09 | |||
2.92 | 123.29 | 21.36 | 18.15 | 0.85 | 0.19 | 63.48 | 14.83 | 11.01 | 0.74 | |||
4.42 | 57.48 | 9.70 | 7.67 | 0.79 | 0.79 | 81.39 | 14.14 | 12.62 | 0.89 | |||
0.21 | 99.47 | 7.93 | 11.09 | 1.40 | 0.09 | 114.35 | 8.28 | 10.07 | 1.22 | |||
0.30 | 83.26 | 10.09 | 9.33 | 0.93 | 0.66 | 96.94 | 12.15 | 11.07 | 0.91 | |||
2.94 | 73.87 | 15.58 | 11.74 | 0.75 | 0.33 | 84.54 | 13.69 | 11.56 | 0.84 | |||
0.82 | 57.32 | 8.91 | 7.43 | 0.83 | 0.06 | 97.24 | 16.44 | 16.40 | 1.00 | |||
1.73 | 52.89 | 12.16 | 8.71 | 0.72 | 0.90 | 74.47 | 18.05 | 16.24 | 0.90 | |||
0.00 | 73.35 | 8.77 | 9.91 | 1.13 | 0.97 | 115.19 | 13.49 | 12.92 | 0.96 | |||
0.95 | 79.25 | 14.23 | 10.69 | 0.75 | 0.07 | 109.16 | 15.58 | 15.61 | 1.00 | |||
1.99 | 57.57 | 12.51 | 11.16 | 0.89 | 1.92 | 70.72 | 15.00 | 12.09 | 0.81 | |||
1.50 | 121.05 | 14.14 | 16.85 | 1.19 | 1.21 | 97.77 | 15.28 | 11.73 | 0.77 | |||
0.39 | 62.82 | 11.46 | 10.77 | 0.94 | 1.50 | 63.11 | 10.69 | 9.16 | 0.86 | |||
1.43 | 123.59 | 15.24 | 14.77 | 0.97 | 2.93 | 67.68 | 14.34 | 12.03 | 0.84 | |||
0.86 | 83.47 | 11.70 | 9.72 | 0.83 | 1.89 | 91.72 | 13.50 | 13.28 | 0.98 |
Statistical descriptive of all years.
Boxplots of annual extreme precipitation.
In this study, the Mann-Kendall non parametric test is computed to characterize the time course of annual maximum precipitation at the national scale. The trend is considered significant if the value of the probability (
The spatial distribution of the annual maximum precipitation trend in Algeria country.
The maximum value of the annual maximum precipitation (AMPmax) for each station is calculated and presented in Table 2. From the Table 2, we can see that the mean value of AMPmax is 22.46 mm and 47% of the total stations with values greater than the mean of AMPmax. The coefficient of variation is 61%, indicating the significant spatial distribution of AMPmax at the national scale. Therefore, we applied a Kriging and Co-kriging approaches to better understanding the spatial distribution of the annual maximum precipitation in Algeria country.
Years | Min | Max | Mean | std.dev |
---|---|---|---|---|
5.88 | 123.59 | 37.00 | 22.46 | 0.61 |
Statistical descriptive of AMPmax.
In this study, we have 865 selected grids and 9496 predicted grids have locations where spaced every 20 m in the East and North grid directions and covered the irregularly shaped of the country (Figure 4). Due to the large numerical range of AMPmax values and to allow easy interpretation of the results, we worked with the logarithmic transformation of the variable. In this application, we chosen a base 10 logarithms (log10) for the data and we randomly selected control and test datasets. In this study, 30% of the total grids were excluded for testing (assessment).
The spatial distribution of the prediction grid.
We start by plotting the experimental variogram before adjusting the latter with the different models. The sum of the square errors (SSErr) and the regression coefficient (R2) provided an accurate measure of the fit of the model to the variogram data, with a lower SSErr and a higher R2 indicating better fit of the model.
The values of the parameters of the different fitted models are presented in Table 3.
Model | Range | Nugget (C0) | Sill (C0 + C) | Nugget/Sill ((C0/C0 + C)*100) | SSErr | R2 |
---|---|---|---|---|---|---|
Spherical | 1075.984 | 0.02806 | 0.11425 | 24.56 | 2.26E-05 | 0.9890 |
Gaussian | 412.298 | 0.03665 | 0.10436 | 35.12 | 2.28E-05 | 0.9888 |
The parameters of each model.
Theoretical and empirical semi-variogram were prepared for the AMPmax as shown in Figure 5. From the results, we can see that the spherical model has been found to be the most accurate model for annual maximum precipitation.
Empirical semivariance and its fitted model.
The spatial dependence is generally accessible in terms of the ratio between the nugget (C0) and the sill (C0 + C) expressed as a percentage. The AMPmax is considered to be a strong spatial dependence when the ratio value is less than 25%, moderate spatial dependence when this value is between 25% and 75%, and low spatial dependence when the value is greater than 75%. From Table 3, we can clearly see that the spatial dependence of AMPmax for the best-fitting semi-variogram model is strong and with a ratio of 24.56%.
The Spherical model is used to interpolate the AMPmax for both Kriging and co-Kriging methods at the national scale. In the first step, we compared graphically the forecasted and estimated GEV parameters (μ, σ and ξ). From Figure 6, we can see that a very clear spatial pattern for the estimates of the location and scale parameters however an absence of the spatial pattern for the shape parameter. The northern region is very marked compared to the rest of the regions with a significantly higher value of the location and scale parameters. On the other hand, the co-Kriging method clearly provided new regions where the values are high. Generally, the high values could be observed in northern Algeria.
The spatial distribution of the forecasts of the GEV parameters for the two methods.
In order to compare the two methods Kriging and Co-Kriging, we used Cross Validation method and some statistical indicators such as Mean Errors (ME), Root Mean Square Errors (RMSE) and Squared Deviation Ratio (MSDR) Table 4.
Μ | Σ | ξ | Μ | σ | ξ | |
---|---|---|---|---|---|---|
Min | −0.11691 | −0.23323 | −2.71689 | −0.41537 | −0.37368 | −2.52461 |
Max | 0.15085 | 0.19637 | 0.97323 | 0.70063 | 0.72695 | 0.98770 |
Mean | 0.00013 | −0.00011 | 0.00098 | 0.00105 | 0.00082 | 0.00224 |
ME | 0.00013 | −0.00011 | 0.00098 | 0.00105 | 0.00082 | 0.00224 |
RMSE | 0.02421 | 0.04819 | 0.37981 | 0.07523 | 0.08761 | 0.39080 |
MSDR | 0.08987 | 0.38275 | 1.91038 | 0.92698 | 1.08895 | 1.70011 |
Kriging | Co-Kriging |
Cross-evaluation errors for the two methods.
Figure 7 display a bubble plots of the cross-evaluation error of the two methods, where positive values are drawn in green and negative values are drawn in red, and the size of the bubble is proportional to the distance from zero.
The spatial distribution of cross-evaluation errors for the three parameters of the GEV law by the two methods.
From Table 4 and Figure 7, we can clearly notice that the Kriging forecast error map with the three parameters of the GEV distribution shows low errors expected near the stations, while co-Kriging gives the lowest errors on average at the national scale, especially for the shape parameter.
After the validation of the two methods, Co-kriging method used to estimate the return levels (RLs) of the annual maximum of daily precipitations for the different stations using Eq. (6).
The return periods are shown in Table 5 for the 20, 50, and 100-year. The results show that the maximum annual maximum precipitation observed in 1982, 1992, 1994, 2001, 2006, and 2007 exceeds the 20-year regression level. AMP exceeding the maximum AMP during the observation period (123.59) begins to appear in the confidence interval of 50 year.
Min | Max | Mean | std.dev | coef.var | |
---|---|---|---|---|---|
20 years | 5.6697 | 106.8175 | 28.7420 | 17.8361 | 0.6205 |
50 years | 5.7920 | 252.1116 | 40.0470 | 30.8470 | 0.7703 |
100 years | 5.8421 | 493.1154 | 52.2700 | 52.0110 | 0.9950 |
Statistical descriptive of the return periods.
Figure 8 shows the results for the three cases RLs considered, in the first and second cases (20 years and 50 years), we notice roughly the same results, although there are some remarks that need to be made. In 50-year RLs, there is an increase in the eastern part, far south and in the center of Algeria. Otherwise in 100-year RLs, we noticed a great difference, especially in the eastern region, in the far southern the state of Tamanrasset, the western region in the state of Tindouf, and in The Middle of the desert the Adrar region.
Spatial representation of return periods (co-kriging method).
In the current research, we studied the spatial analysis of rainfall data in 856 grid cells during the analysis period (1979–2012). The main conclusions form this study can be summarized as follows:
We marked that the spherical model was found to be the most accurate model for annual maximum precipitation at the national scale.
We can clearly see that the Kriging forecast error map shows low errors expected near the stations, while co-Kriging gives the lowest errors on average at the national level, which means that the method of co-Kriging is the best.
Return levels were estimated for several return time periods. For the return level estimated from the GEV distribution, the point estimate that exceeds the return level of all previous maximum AMP records begins to appear in the 50-year regression period.
The author grateful to professor Lazhar Belkhiri for helpful.
Intro
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His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr.",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Rheinmetall (Germany)",country:{name:"Germany"}}},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. His current research interests are in the fields of intelligent control and robotics.",institutionString:null,institution:{name:"Technical University of Sofia",country:{name:"Bulgaria"}}},{id:"585",title:"Prof.",name:"Munir",middleName:null,surname:"Merdan",slug:"munir-merdan",fullName:"Munir Merdan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/585/images/system/585.jpg",biography:"Munir Merdan received the M.Sc. degree in mechanical engineering from the Technical University of Sarajevo, Bosnia and Herzegovina, in 2001, and the Ph.D. degree in electrical engineering from the Vienna University of Technology, Vienna, Austria, in 2009.Since 2005, he has been at the Automation and Control Institute, Vienna University of Technology, where he is currently a Senior Researcher. His research interests include the application of agent technology for achieving agile control in the manufacturing environment.",institutionString:null,institution:null},{id:"605",title:"Prof",name:"Dil",middleName:null,surname:"Hussain",slug:"dil-hussain",fullName:"Dil Hussain",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/605/images/system/605.jpg",biography:"Dr. Dil Muhammad Akbar Hussain is a professor of Electronics Engineering & Computer Science at the Department of Energy Technology, Aalborg University Denmark. Professor Akbar has a Master degree in Digital Electronics from Govt. College University, Lahore Pakistan and a P-hD degree in Control Engineering from the School of Engineering and Applied Sciences, University of Sussex United Kingdom. Aalborg University has Two Satellite Campuses, one in Copenhagen (Aalborg University Copenhagen) and the other in Esbjerg (Aalborg University Esbjerg).\n· He is a member of prestigious IEEE (Institute of Electrical and Electronics Engineers), and IAENG (International Association of Engineers) organizations. \n· He is the chief Editor of the Journal of Software Engineering.\n· He is the member of the Editorial Board of International Journal of Computer Science and Software Technology (IJCSST) and International Journal of Computer Engineering and Information Technology. \n· He is also the Editor of Communication in Computer and Information Science CCIS-20 by Springer.\n· Reviewer For Many Conferences\nHe is the lead person in making collaboration agreements between Aalborg University and many universities of Pakistan, for which the MOU’s (Memorandum of Understanding) have been signed.\nProfessor Akbar is working in Academia since 1990, he started his career as a Lab demonstrator/TA at the University of Sussex. After finishing his P. hD degree in 1992, he served in the Industry as a Scientific Officer and continued his academic career as a visiting scholar for a number of educational institutions. In 1996 he joined National University of Science & Technology Pakistan (NUST) as an Associate Professor; NUST is one of the top few universities in Pakistan. In 1999 he joined an International Company Lineo Inc, Canada as Manager Compiler Group, where he headed the group for developing Compiler Tool Chain and Porting of Operating Systems for the BLACKfin processor. The processor development was a joint venture by Intel and Analog Devices. In 2002 Lineo Inc., was taken over by another company, so he joined Aalborg University Denmark as an Assistant Professor.\nProfessor Akbar has truly a multi-disciplined career and he continued his legacy and making progress in many areas of his interests both in teaching and research. He has contributed in stochastic estimation of control area especially, in the Multiple Target Tracking and Interactive Multiple Model (IMM) research, Ball & Beam Control Problem, Robotics, Levitation Control. He has contributed in developing Algorithms for Fingerprint Matching, Computer Vision and Face Recognition. He has been supervising Pattern Recognition, Formal Languages and Distributed Processing projects for several years. He has reviewed many books on Management, Computer Science. Currently, he is an active and permanent reviewer for many international conferences and symposia and the program committee member for many international conferences.\nIn teaching he has taught the core computer science subjects like, Digital Design, Real Time Embedded System Programming, Operating Systems, Software Engineering, Data Structures, Databases, Compiler Construction. In the Engineering side, Digital Signal Processing, Computer Architecture, Electronics Devices, Digital Filtering and Engineering Management.\nApart from his Academic Interest and activities he loves sport especially, Cricket, Football, Snooker and Squash. He plays cricket for Esbjerg city in the second division team as an opener wicket keeper batsman. 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This introductory chapter explains how a new tool can be added to this toolkit: robots. The use of robotic assets in search and rescue operations is explained and an overview is given of the worldwide efforts to incorporate robotic tools in search and rescue operations. Furthermore, the European Union ICARUS project on this subject is introduced. The ICARUS project proposes to equip first responders with a comprehensive and integrated set of unmanned search and rescue tools, to increase the situational awareness of human crisis managers, such that more work can be done in a shorter amount of time. The ICARUS tools consist of assistive unmanned air, ground, and sea vehicles, equipped with victim-detection sensors. The unmanned vehicles collaborate as a coordinated team, communicating via ad hoc cognitive radio networking. To ensure optimal human-robot collaboration, these tools are seamlessly integrated into the command and control equipment of the human crisis managers and a set of training and support tools is provided to them to learn to use the ICARUS system.",book:{id:"6181",slug:"search-and-rescue-robotics-from-theory-to-practice",title:"Search and Rescue Robotics",fullTitle:"Search and Rescue Robotics - From Theory to Practice"},signatures:"Geert De Cubber, Daniela Doroftei, Konrad Rudin, Karsten Berns,\nAnibal Matos, Daniel Serrano, Jose Sanchez, Shashank Govindaraj,\nJanusz Bedkowski, Rui Roda, Eduardo Silva and Stephane Ourevitch",authors:[{id:"206420",title:"Dr.",name:"Geert",middleName:null,surname:"De Cubber",slug:"geert-de-cubber",fullName:"Geert De Cubber"}]},{id:"56737",doi:"10.5772/intechopen.69738",title:"UAV for Landmine Detection Using SDR-Based GPR Technology",slug:"uav-for-landmine-detection-using-sdr-based-gpr-technology",totalDownloads:3441,totalCrossrefCites:14,totalDimensionsCites:17,abstract:"This chapter presents an approach for explosive-landmine detection on-board an autonomous aerial drone. The chapter describes the design, implementation and integration of a ground penetrating radar (GPR) using a software defined radio (SDR) platform into the aerial drone. The chapter?s goal is first to tackle in detail the development of a custom-designed lightweight GPR by approaching interplay between hardware and software radio on an SDR platform. The SDR-based GPR system results on a much lighter sensing device compared against the conventional GPR systems found in the literature and with the capability of re-configuration in real-time for different landmines and terrains, with the capability of detecting landmines under terrains with different dielectric characteristics. Secondly, the chapter introduce the integration of the SDR-based GPR into an autonomous drone by describing the mechanical integration, communication system, the graphical user interface (GUI) together with the landmine detection and geo-mapping. This chapter approach completely the hardware and software implementation topics of the on-board GPR system given first a comprehensive background of the software-defined radar technology and second presenting the main features of the Tx and Rx modules. Additional details are presented related with the mechanical and functional integration of the GPR into the UAV system.",book:{id:"5905",slug:"robots-operating-in-hazardous-environments",title:"Robots Operating in Hazardous Environments",fullTitle:"Robots Operating in Hazardous Environments"},signatures:"Manuel Ricardo Pérez Cerquera, Julian David Colorado Montaño\nand Iván Mondragón",authors:[{id:"177422",title:"Dr.",name:"Julian",middleName:null,surname:"Colorado",slug:"julian-colorado",fullName:"Julian Colorado"},{id:"197884",title:"Prof.",name:"Ivan",middleName:null,surname:"Mondragon",slug:"ivan-mondragon",fullName:"Ivan Mondragon"},{id:"199958",title:"Prof.",name:"Manuel",middleName:null,surname:"Perez",slug:"manuel-perez",fullName:"Manuel Perez"}]}],mostDownloadedChaptersLast30Days:[{id:"56737",title:"UAV for Landmine Detection Using SDR-Based GPR Technology",slug:"uav-for-landmine-detection-using-sdr-based-gpr-technology",totalDownloads:3443,totalCrossrefCites:14,totalDimensionsCites:17,abstract:"This chapter presents an approach for explosive-landmine detection on-board an autonomous aerial drone. The chapter describes the design, implementation and integration of a ground penetrating radar (GPR) using a software defined radio (SDR) platform into the aerial drone. The chapter?s goal is first to tackle in detail the development of a custom-designed lightweight GPR by approaching interplay between hardware and software radio on an SDR platform. The SDR-based GPR system results on a much lighter sensing device compared against the conventional GPR systems found in the literature and with the capability of re-configuration in real-time for different landmines and terrains, with the capability of detecting landmines under terrains with different dielectric characteristics. Secondly, the chapter introduce the integration of the SDR-based GPR into an autonomous drone by describing the mechanical integration, communication system, the graphical user interface (GUI) together with the landmine detection and geo-mapping. This chapter approach completely the hardware and software implementation topics of the on-board GPR system given first a comprehensive background of the software-defined radar technology and second presenting the main features of the Tx and Rx modules. Additional details are presented related with the mechanical and functional integration of the GPR into the UAV system.",book:{id:"5905",slug:"robots-operating-in-hazardous-environments",title:"Robots Operating in Hazardous Environments",fullTitle:"Robots Operating in Hazardous Environments"},signatures:"Manuel Ricardo Pérez Cerquera, Julian David Colorado Montaño\nand Iván Mondragón",authors:[{id:"177422",title:"Dr.",name:"Julian",middleName:null,surname:"Colorado",slug:"julian-colorado",fullName:"Julian Colorado"},{id:"197884",title:"Prof.",name:"Ivan",middleName:null,surname:"Mondragon",slug:"ivan-mondragon",fullName:"Ivan Mondragon"},{id:"199958",title:"Prof.",name:"Manuel",middleName:null,surname:"Perez",slug:"manuel-perez",fullName:"Manuel Perez"}]},{id:"67705",title:"Advanced UAVs Nonlinear Control Systems and Applications",slug:"advanced-uavs-nonlinear-control-systems-and-applications",totalDownloads:1971,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"Recent development of different control systems for UAVs has caught the attention of academic and industry, due to the wide range of their applications such as in surveillance, delivery, work assistant, and photography. In addition, arms, grippers, or tethers could be installed to UAVs so that they can assist in constructing, transporting, and carrying payloads. In this book chapter, the control laws of the attitude and position of a quadcopter UAV have been derived basically utilizing three methods including backstepping, sliding mode control, and feedback linearization incorporated with LQI optimal controller. The main contribution of this book chapter would be concluded in the strategy of deriving the control laws of the translational positions of a quadcopter UAV. The control laws for trajectory tracking using the proposed strategies have been validated by simulation using MATLAB®/Simulink and experimental results obtained from a quadcopter test bench. Simulation results show a comparison between the performances of each of the proposed techniques depending on the nonlinear model of the quadcopter system under investigation; the trajectory tracking has been achieved properly for different types of trajectories, i.e., spiral trajectory, in the presence of unknown disturbances. Moreover, the practical results coincided with the results of the simulation results.",book:{id:"7792",slug:"unmanned-robotic-systems-and-applications",title:"Unmanned Robotic Systems and Applications",fullTitle:"Unmanned Robotic Systems and Applications"},signatures:"Abdulkader Joukhadar, Mohammad Alchehabi and Adnan Jejeh",authors:null},{id:"60953",title:"Small to Medium UAVs for Civilian Applications in Indonesia",slug:"small-to-medium-uavs-for-civilian-applications-in-indonesia",totalDownloads:1339,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Indonesian government needs a well-built, easy to operate unmanned aircraft systems (UAS) to perform various civilian missions as UAS are a well-known platform for dirty, dull, and dangerous missions. Hence, the Indonesian government has an organization that performs research and development of UAS, named as Aeronautic Technology Center. This organization is placed underneath Indonesian National Institute of Aeronautics and Space. The UAS developments in this institute are primarily driven by civilian uses; therefore, the UAS size, sensor types, and mission payload are optimized for civilian missions. In order to produce the decent to the best quality of the aerial image, which is the essential product for various civilian missions, the UAS regularly flies under the cloud. For this reason, the Aeronautic Technology Center is only developing the LASE (low altitude, short-endurance) and the LALE (low altitude, long endurance) UAS type as of now. The UAS development was begun with LSU-01, followed by LSU-02, LSU-03, and LSU-05. The LSU-01, LSU-02, and LSU-03 are in the operational phase, while the LSU-05 is in the experimental Phase. In this chapter, the specification of the platforms and the sensor capabilities that are relevant with the demands of users in the civilian sector are described.",book:{id:"6465",slug:"drones-applications",title:"Drones",fullTitle:"Drones - Applications"},signatures:"Fuad Surastyo Pranoto, Ari Sugeng Budiyanta and Gunawan Setyo\nPrabowo",authors:[{id:"223333",title:"M.Sc.",name:"Fuad",middleName:"Surastyo",surname:"Pranoto",slug:"fuad-pranoto",fullName:"Fuad Pranoto"},{id:"223356",title:"MSc.",name:"Ari Sugeng",middleName:null,surname:"Budiyanta",slug:"ari-sugeng-budiyanta",fullName:"Ari Sugeng Budiyanta"},{id:"223357",title:"MSc.",name:"Gunawan Setyo",middleName:null,surname:"Prabowo",slug:"gunawan-setyo-prabowo",fullName:"Gunawan Setyo Prabowo"}]},{id:"67003",title:"Vision-Based Autonomous Control Schemes for Quadrotor Unmanned Aerial Vehicle",slug:"vision-based-autonomous-control-schemes-for-quadrotor-unmanned-aerial-vehicle",totalDownloads:978,totalCrossrefCites:0,totalDimensionsCites:4,abstract:"This chapter deals with the development of vision-based sliding mode control strategies for a quadrotor system that would enable it to perform autonomous tasks such as take-off, landing and visual inspection of structures. The aim of this work is to provide a basic understanding of the quadrotor dynamical model, key concepts in image processing and a detailed description of the sliding mode control, a widely used robust non-linear control scheme. Extensive MATLAB simulations are presented to enhance the understanding of the controller on the quadrotor system subjected to bounded disturbances and uncertainties. The vision algorithms developed in this chapter would provide the necessary reference trajectory to the controller enabling it to exercise control over the system. This work also describes, in brief, the implementation of the developed control and vision algorithms on the DJI Matrice 100 to present real-time experimental data to the readers of this chapter.",book:{id:"7792",slug:"unmanned-robotic-systems-and-applications",title:"Unmanned Robotic Systems and Applications",fullTitle:"Unmanned Robotic Systems and Applications"},signatures:"Archit Krishna Kamath, Vibhu Kumar Tripathi and Laxmidhar Behera",authors:null},{id:"59130",title:"The Use of Unmanned Aerial Vehicles by Urban Search and Rescue Groups",slug:"the-use-of-unmanned-aerial-vehicles-by-urban-search-and-rescue-groups",totalDownloads:1294,totalCrossrefCites:5,totalDimensionsCites:6,abstract:"In the case of natural or man-made disaster, the top priority of urban search and rescue (USAR) groups is to localise the victim as quickly as possible. Even minutes might play a crucial role in the victim’s survival. A number of standard operating procedures may be applied to achieve best performance. Rescue dogs are trained to search for alive victims; special inspection cameras are used, before heavy equipment is being implemented. To improve the effectiveness of USAR group operations, innovative technologies might be implemented. The most recent solution is currently designed in MOBNET project, founded by EU under the Horizon 2020 programme. The scope of the project is to combine both cellular technology and early Galileo services to localise the smartphones of potential victims. Integration tests give some promising outcomes. 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