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Book title: Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”
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The northern Adriatic Sea is a particular water system, in which the levels of nutrients are commonly low or unbalanced. In general, phosphate detection can be done with the classical molybdenum-blue method. However, the method cannot be used in oligotrophic seawater samples due to its low sensitivity and high interference problems. In this study, we present a new electrochemical method, based on the application of a plastic conductive electrode containing a molybdenum reagent embedded. The sensitivity for phosphate was high enough to detect this nutrient in oligotrophic seawater.
Phosphate detection --- Oligotrophy --- Adriatic sea --- Plastic electrode --- Electrochemical detection --- Octamolybdate
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Analysis of medical data using engineering tools is a rapidly growing area, both in research and in industry, yet few texts exist that address the problem from an interdisciplinary perspective. Epileptic Seizures and the EEG: Measurement, Models, Detection and Prediction brings together biology and engineering practices and identifies the aspects of the field that are most important to the analysis of epilepsy. Analysis of EEG records The book begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the epileptic brain. It introduces the EEG as a measured signal and explains its use in the study of epilepsy. Next, it provides an explanation of the type of brain activity likely to register in EEG measurements, offering quantitative analysis of the populations of neurons that contribute to both scalp and cortical EEG and discussing the limitations and effects that choices made in the recording process have on the data. The book provides an overview of how these EEG records are and have been analyzed in the past, concentrating on the mathematics relevant to the problem of classification of EEG. The authors use these extracted features to differentiate between or classify inter-seizure, pre-seizure and seizure EEG. The challenge of seizure prediction The book focuses on the problem of seizure detection and surveys the physiologically based dynamic models of brain activity. Finally, the book addresses the fundamental question: can seizures be predicted? Through analysis of epileptic activity spanning from 3 hours to 25 years, it is proposed that seizures may be predictable, but the amount of data required is greater than previously thought. Based on the authors’ extensive research, the book concludes by exploring a range of future possibilities in seizure prediction.
Detection --- EEG --- Epileptic --- Measurement --- Models
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La vidéosurveillance fait désormais partie des outils utilisés dans les politiques sécuritaires. Les récentes évolutions techniques rendent son usage de plus en plus intrusif dans la vie privée mais aussi dans l'espace public. Cet ouvrage explore une dimension encore inédite de la vidéosurveillance. Elle réside dans le caractère automatique de la détection des « comportements anormaux » dans l'espace public. L'anormalité est un enjeu fondamental dans la définition de la citoyenneté, en établi...
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This work presents a method to detect and classify varnish defects on wood surfaces. Since these defects are only partially visible under certain illumination directions, one image doesn't provide enough information for a recognition task. A classification requires inspecting the surface under different illumination directions, which results in image series. The information is distributed along this series and can be extracted by merging the knowledge about the defect shape and light direction.
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Epidemiology is a discipline intended to systematically investigate, and ideally quantify, disease dynamics in populations (Perez, 2015). Epidemiological assessmentsmay be divided into four large areas, namely, (a) identification and characterization of a pathogen, (b) development of systems for detection of cases, (c) descriptive epidemiology and quantification of disease patterns, and (d) advanced analytical methods to design intervention strategies. Briefly, there is an initial need for understanding the pathogeny of a disease and condition, which may also include experimental studies and development of new models of infection and proliferation under different conditions. Subsequently, such knowledgemay be applied to support the identification of cases, which typically includes the design, evaluation, and validation of diagnostic tests. Diseasemay then be quantified in a population, leading to the identification of patterns and application of molecular characterization techniques to understand disease spread, and ultimately to identify factors preventing or promoting disease. Finally, those factors may be incorporated into advanced quantitative methods and epidemiological models, which are used to design and evaluate strategies aimed at preventing, controlling, or eliminating disease in the population.Recent years have seen a dramatic increase in the application of science, technology, engineering, and mathematical (STEM) tools and approaches intended to enhance such analytical epidemiology process, with the ultimate goal of supporting disease prevention, control, and eradication. This eBook comprises a series of research articles that, through current state-of-the-art scientific knowledge on the application of STEM tools to the microbiology of infectious diseases, demonstrate their usefulness at the various components of an integral epidemiological approach, divided into the four large components of (a) experimental studies, (b) novel diagnostic techniques, (c) epidemiological characterization, and (d) population modeling and intervention.
stem --- Quantitative Methods --- Epidemiology --- modeling --- Pathogen Detection --- diagnosis
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For 5 years, the Peripheral Nervous System-Machine Interfaces workgroup has dedicated itself to the recruitment of researchers, clinicians, and general public in a unified effort to advance the frontier of restoration of quality of life to those with limb deficiency. Our group's mission is to bring together experts from various domains to identify promising new technologies and new opportunities for inquiry and discovery in prosthetics research. This e-Book collects 10 cutting edge research articles written by members of the workgroup, covering three domains prioritized by the workgroup: novel prosthetic technology, approaches for reducing device rejection, and prosthetic control. In our summary editorial, we four principals of the workgroup reflect on our first 5 years, and project our vision for the future, as the Society for Prosthetics.
abandonment --- control --- database --- detection --- electromyography --- myoelectric --- prosthetics --- society
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For 5 years, the Peripheral Nervous System-Machine Interfaces workgroup has dedicated itself to the recruitment of researchers, clinicians, and general public in a unified effort to advance the frontier of restoration of quality of life to those with limb deficiency. Our group's mission is to bring together experts from various domains to identify promising new technologies and new opportunities for inquiry and discovery in prosthetics research. This e-Book collects 10 cutting edge research articles written by members of the workgroup, covering three domains prioritized by the workgroup: novel prosthetic technology, approaches for reducing device rejection, and prosthetic control. In our summary editorial, we four principals of the workgroup reflect on our first 5 years, and project our vision for the future, as the Society for Prosthetics.
abandonment --- control --- database --- detection --- electromyography --- myoelectric --- prosthetics --- society
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Self-coherent receivers are promising candidates for reception of 100 Gbit/s data rates in optical networks. Self-coherent receivers consist of multiple optical delay interferometers (DI) with high-speed photodiodes attached to the outputs. By DSP of the photo currents it becomes possible to receive coherently modulated optical signals. Especially promising for 100 Gbit/s networks is the PolMUX DQPSK format, the self-coherent reception of which is described in detail.
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This work presents a solution for autonomous vehicles to detect arbitrary moving traffic participants and to precisely determine the motion of the vehicle. The solution is based on three-dimensional images captured with modern range sensors like e.g. high-resolution laser scanners. As result, objects are tracked and a detailed 3D model is built for each object and for the static environment. The performance is demonstrated in challenging urban environments that contain many different objects.
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This thesis describes the detection and reconstruction of traffic accidents with event data recorders.The underlying idea is to describe the vehicle motion and dynamics up to the stability limit by means of linear and non-linear vehicle models. These models are used to categorize the driving behavior and to freeze the recorded data in a memory if an accident occurs.Based on these data, among others the vehicle trajectory is reconstructed with fuzzy data fusion. The side slip angle which is a crucial quantity describing the vehicle stability is estimated with non-linear state observers and Kalman-Filters. The methodologies presented may lead from accident reconstruction considered here to accident avoidance.
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