Foundations And Applications Of Sensor Management


Foundations And Applications Of Sensor Management
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Foundations And Applications Of Sensor Management


Foundations And Applications Of Sensor Management
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Author : Alfred Olivier Hero
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-10-23

Foundations And Applications Of Sensor Management written by Alfred Olivier Hero and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-10-23 with Technology & Engineering categories.


This book covers control theory signal processing and relevant applications in a unified manner. It introduces the area, takes stock of advances, and describes open problems and challenges in order to advance the field. The editors and contributors to this book are pioneers in the area of active sensing and sensor management, and represent the diverse communities that are targeted.



Mission Oriented Sensor Networks And Systems Art And Science


Mission Oriented Sensor Networks And Systems Art And Science
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Author : Habib M. Ammari
language : en
Publisher: Springer Nature
Release Date : 2019-09-18

Mission Oriented Sensor Networks And Systems Art And Science written by Habib M. Ammari and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-18 with Technology & Engineering categories.


This book discusses topics in mission-oriented sensor networks and systems research and practice, enabling readers to understand the major technical and application challenges of these networks, with respect to their architectures, protocols, algorithms, and application design. It also presents novel theoretical and practical ideas, which have led to the development of solid foundations for the design, analysis, and implementation of energy-efficient, reliable, and secure mission-oriented sensor network applications. Covering various topics, including sensor node architecture, sensor deployment, mobile coverage, mission assignment, detection, localization, tracking, data dissemination, data fusion, topology control, geometric routing, location privacy, secure communication, and cryptograph, it is a valuable resource for computer scientists, researchers, and practitioners in academia and industry.



Sensor Management For Target Tracking Applications


Sensor Management For Target Tracking Applications
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Author : Per Boström-Rost
language : en
Publisher: Linköping University Electronic Press
Release Date : 2021-04-12

Sensor Management For Target Tracking Applications written by Per Boström-Rost and has been published by Linköping University Electronic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-12 with categories.


Many practical applications, such as search and rescue operations and environmental monitoring, involve the use of mobile sensor platforms. The workload of the sensor operators is becoming overwhelming, as both the number of sensors and their complexity are increasing. This thesis addresses the problem of automating sensor systems to support the operators. This is often referred to as sensor management. By planning trajectories for the sensor platforms and exploiting sensor characteristics, the accuracy of the resulting state estimates can be improved. The considered sensor management problems are formulated in the framework of stochastic optimal control, where prior knowledge, sensor models, and environment models can be incorporated. The core challenge lies in making decisions based on the predicted utility of future measurements. In the special case of linear Gaussian measurement and motion models, the estimation performance is independent of the actual measurements. This reduces the problem of computing sensing trajectories to a deterministic optimal control problem, for which standard numerical optimization techniques can be applied. A theorem is formulated that makes it possible to reformulate a class of nonconvex optimization problems with matrix-valued variables as convex optimization problems. This theorem is then used to prove that globally optimal sensing trajectories can be computed using off-the-shelf optimization tools. As in many other fields, nonlinearities make sensor management problems more complicated. Two approaches are derived to handle the randomness inherent in the nonlinear problem of tracking a maneuvering target using a mobile range-bearing sensor with limited field of view. The first approach uses deterministic sampling to predict several candidates of future target trajectories that are taken into account when planning the sensing trajectory. This significantly increases the tracking performance compared to a conventional approach that neglects the uncertainty in the future target trajectory. The second approach is a method to find the optimal range between the sensor and the target. Given the size of the sensor's field of view and an assumption of the maximum acceleration of the target, the optimal range is determined as the one that minimizes the tracking error while satisfying a user-defined constraint on the probability of losing track of the target. While optimization for tracking of a single target may be difficult, planning for jointly maintaining track of discovered targets and searching for yet undetected targets is even more challenging. Conventional approaches are typically based on a traditional tracking method with separate handling of undetected targets. Here, it is shown that the Poisson multi-Bernoulli mixture (PMBM) filter provides a theoretical foundation for a unified search and track method, as it not only provides state estimates of discovered targets, but also maintains an explicit representation of where undetected targets may be located. Furthermore, in an effort to decrease the computational complexity, a version of the PMBM filter which uses a grid-based intensity to represent undetected targets is derived.



American Civilization


American Civilization
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Author : David Mauk
language : en
Publisher: Psychology Press
Release Date : 1995

American Civilization written by David Mauk and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with United States categories.


A comprehensive introduction to contemporary American life, This book examines the key institutions of American society, including state and local government, geography, education, law, media and culture.



Integrated Tracking Classification And Sensor Management


Integrated Tracking Classification And Sensor Management
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Author : Mahendra Mallick
language : en
Publisher: John Wiley & Sons
Release Date : 2012-12-03

Integrated Tracking Classification And Sensor Management written by Mahendra Mallick and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-03 with Technology & Engineering categories.


A unique guide to the state of the art of tracking, classification, and sensor management This book addresses the tremendous progress made over the last few decades in algorithm development and mathematical analysis for filtering, multi-target multi-sensor tracking, sensor management and control, and target classification. It provides for the first time an integrated treatment of these advanced topics, complete with careful mathematical formulation, clear description of the theory, and real-world applications. Written by experts in the field, Integrated Tracking, Classification, and Sensor Management provides readers with easy access to key Bayesian modeling and filtering methods, multi-target tracking approaches, target classification procedures, and large scale sensor management problem-solving techniques. Features include: An accessible coverage of random finite set based multi-target filtering algorithms such as the Probability Hypothesis Density filters and multi-Bernoulli filters with focus on problem solving A succinct overview of the track-oriented MHT that comprehensively collates all significant developments in filtering and tracking A state-of-the-art algorithm for hybrid Bayesian network (BN) inference that is efficient and scalable for complex classification models New structural results in stochastic sensor scheduling and algorithms for dynamic sensor scheduling and management Coverage of the posterior Cramer-Rao lower bound (PCRLB) for target tracking and sensor management Insight into cutting-edge military and civilian applications, including intelligence, surveillance, and reconnaissance (ISR) With its emphasis on the latest research results, Integrated Tracking, Classification, and Sensor Management is an invaluable guide for researchers and practitioners in statistical signal processing, radar systems, operations research, and control theory.



Probabilistic Framework For Sensor Management


Probabilistic Framework For Sensor Management
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Author : Marco Huber
language : en
Publisher: KIT Scientific Publishing
Release Date : 2009

Probabilistic Framework For Sensor Management written by Marco Huber and has been published by KIT Scientific Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Electronic computers. Computer science categories.


A probabilistic sensor management framework is introduced, which maximizes the utility of sensor systems with many different sensing modalities by dynamically configuring the sensor system in the most beneficial way. For this purpose, techniques from stochastic control and Bayesian estimation are combined such that long-term effects of possible sensor configurations and stochastic uncertainties resulting from noisy measurements can be incorporated into the sensor management decisions.



Sensor Management In Isr


Sensor Management In Isr
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Author : Kenneth J. Hintz
language : en
Publisher: Artech House
Release Date : 2020-02-29

Sensor Management In Isr written by Kenneth J. Hintz and has been published by Artech House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-29 with Technology & Engineering categories.


This innovative resource is the first book that partitions the intelligence, surveillance and reconnaissance (ISR) sensor management process into partitioned functions that can be studied and optimized independently of each other through defined conceptual interfaces. The book explains the difference between situation information and sensor information and how to compute both. The information-based sensor management (IBSM) approach to real-time orchestrated resource management (ORM) of intelligence, surveillance, and reconnaissance (ISR) assets in the physical, cyber, and social domains are detailed. The integrating concept of mission value through use of goal lattice (GL) methodology is explored. Approaches to implementing real-time sensor management (SM) systems by applying advanced information-based approaches that consider contextual situation and optimization of diverse sensor capabilities for information-based objectives are also covered. These methods have applications in physical intelligence, surveillance, and reconnaissance (ISR), as well as in cyber, and social domains. Based on 30 years of research in developing a mission-valued approach to maximizing the transfer of information from real, cyber, and social environments into a mission-valued, probabilistic representation of that environment on which decision makers can formulate actions, this is the only book that addresses real-time management of ISR from a first principles approach (information theory), and how information theory can be applied to the design and development of ISR systems.



Sensor Technologies


Sensor Technologies
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Author : Michael J. McGrath
language : en
Publisher: Apress
Release Date : 2013-12-17

Sensor Technologies written by Michael J. McGrath and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-17 with Computers categories.


Sensor Technologies: Healthcare, Wellness and Environmental Applications explores the key aspects of sensor technologies, covering wired, wireless, and discrete sensors for the specific application domains of healthcare, wellness and environmental sensing. It discusses the social, regulatory, and design considerations specific to these domains. The book provides an application-based approach using real-world examples to illustrate the application of sensor technologies in a practical and experiential manner. The book guides the reader from the formulation of the research question, through the design and validation process, to the deployment and management phase of sensor applications. The processes and examples used in the book are primarily based on research carried out by Intel or joint academic research programs. “Sensor Technologies: Healthcare, Wellness and Environmental Applications provides an extensive overview of sensing technologies and their applications in healthcare, wellness, and environmental monitoring. From sensor hardware to system applications and case studies, this book gives readers an in-depth understanding of the technologies and how they can be applied. I would highly recommend it to students or researchers who are interested in wireless sensing technologies and the associated applications.” Dr. Benny Lo Lecturer, The Hamlyn Centre, Imperial College of London “This timely addition to the literature on sensors covers the broad complexity of sensing, sensor types, and the vast range of existing and emerging applications in a very clearly written and accessible manner. It is particularly good at capturing the exciting possibilities that will occur as sensor networks merge with cloud-based ‘big data’ analytics to provide a host of new applications that will impact directly on the individual in ways we cannot fully predict at present. It really brings this home through the use of carefully chosen case studies that bring the overwhelming concept of 'big data' down to the personal level of individual life and health.” Dermot Diamond Director, National Centre for Sensor Research, Principal Investigator, CLARITY Centre for Sensor Web Technologies, Dublin City University "Sensor Technologies: Healthcare, Wellness and Environmental Applications takes the reader on an end-to-end journey of sensor technologies, covering the fundamentals from an engineering perspective, introducing how the data gleaned can be both processed and visualized, in addition to offering exemplar case studies in a number of application domains. It is a must-read for those studying any undergraduate course that involves sensor technologies. It also provides a thorough foundation for those involved in the research and development of applied sensor systems. I highly recommend it to any engineer who wishes to broaden their knowledge in this area!" Chris Nugent Professor of Biomedical Engineering, University of Ulster What you’ll learnThe relevant sensing approaches and the hardware and software components required to capture and interpret sensor data. The importance of regulations governing medical devices. A design methodology for developing and deploying successful home- and community-based technologies, supported by relevant case studies. Health, wellness, and environmental sensing applications and how they work. The challenges and future directions of sensing in these domains. Who this book is for Sensor Technologies: Healthcare, Wellness and Environmental Applications is targeted at clinical and technical researchers, engineers, and students who want to understand the current state of the art in sensor applications in these domains. The reader gains a full awareness of the key technical and non-technical challenges that must be addressed in the development of successful end-to-end sensor applications. Real-world examples help give the reader practical insights into the successful development, deployment, and management of sensor applications. The reader will also develop an understanding of the personal, social, and ethical impact of sensor applications, now and in the future. Table of ContentsChapter One: Introduction Chapter Goal: Reader should understand the key challenges and drivers for sensor application development. The reader should also understand how sensor technologies can play a role in addressing some of the key challenges facing global society in the short to medium term. 1. Book overview 2. Drivers for Sensor Applications (Infrastructure Growth in Developing Countries, Advances in Energy Harvesting, New Applications, Cost reduction, Real-time monitoring of situations to avoid unplanned downtime, Security (personal and national), the internet of things). 3. Challenges for Sensor Applications (Power, Efficient Operation in Harsh Environments, Number of Deployable Nodes, Safety and Regulations, High Cost of Installation, Security and Reliability, sensor management) 4. Global Megatrends and the opportunities for sensing technologies o Water and Food Constraints o Aging Demographics o Public Health o Pandemics o Security Chapter 2: Sensing and Sensor Fundamentals Chapter Goal: Reader should understand existing sensor technologies, which can be used in healthcare, wellness, and environmental domains. They should also understand the role of smart sensors and smart phones as mobile sensing platforms and aggregators. 1. Sensing Modalities (Mechanical, MEMS, Optical, ISFET, μTAS) 2. Sensing Domains (Air, Water, Noise, Bacterial, Chemical, Kinematic, DNA, Physiological) 3. Functional Characterisation of Sensors o Communication methods – discrete, wired, wireless o Smart Sensors and Sensor Platforms § MSP430 (SHIMMER and telosB motes) § ATmega § PIC 4. Smart Phones as mobile sensor platforms 5. Selecting and specifying sensors Chapter 3 Key Sensor Technology Components – Hardware and Software Overview Chapter Goal: Reader should have a high level understanding of the key hardware and software components, which are necessary for the development of sensors systems and why technologies are selected for specific applications. 1. Overview – Sensor systems 2. MCU’s (TI MSP430, ATmega, PIC) a. ADCs b. Interrupts c. Real-time Clocks 3. Sensor Interfaces a. Digital b. Analog c. I2C 4. Communications – wired and wireless interfaces RS232/485, USB, Ethernet, FieldbusProprietary Short Range Wireless Protocols (e.g. ANT, BodyLAN, Sensium)Standard Short Range Protocols i. IEEE 802.15.6 ii. Bluetooth/Smart Bluetooth iii. 802.15.4 iv. UWB Medium Range i. Wi-Fi 5. Data storage (EEPROM, sd card, data forwarding) 6. Power management and Energy Harvesting 7. Operating Systems and Software Development Environments (SDK’s) Chapter 4 Sensor Network Architectures Chapter Goal: Reader should understand the various approaches to the design of sensor network architectures; scaling from body worn systems, to ambient sensing, to city-scale deployments. The reader should also understand the advantages and disadvantages of current and evolving sensor network architectures. 1. Sensor network architectures o Discrete Sensor o Sensor to aggregator o PAN/WPAN/smart clothing o Pervasive/Ambient sensor networks o Wide area networks (city-wide, country wide) 2. Challenges in developing and deploying sensor networks 3. Current and Proposed Solutions o Remote sensor management o Edge Processing o Power harvesting o New communication standards Chapter 5: Adding Vibrancy to Sensor Data Chapter Goal: Reader should understand the various methods to interpret and display sensor data to the user. They will understand the importance of creating a data analysis plan from the outset, and the different types of data analysis throughout the application stack. 1. Data Literacy – How can we intuitively answer questions with sensor data and contextualise answers 2. Data Quality a. Calibration b. Trust and Repudiation 3. Sensor Fusion – combining sensory data from disparate sources 4. Data Mining 5. Data Visualisation 6. Openness, data integration, virtual sensors 7. Exploiting the power of the cloud Chapter 6: Regulation and Standards Chapter Goal: Reader should understand the key technologies, which impact or influence the development of sensor deployment and applications including the emerging standards and regulatory considerations. 1. Regulatory Standards (US, EU, Japan) : why, which, and how standards impact your application 2. Regulatory Issues: Certification 3. Smartphones Considerations o Privacy and data security 4. Standards Bodies and Industry Groups o Continua Healthcare Alliance o ISO/IEEE 11073 5. Wearable Wireless Health Communication Standards Chapter 7: Biosensing in Everyday Life – Driving Biocontextual Aware Computing Chapter Goal: Reader should understand the social relationships that create opportunities and barriers for widespread, consumer-based biosensing. The reader should understand how the social world is shifting from sensor technologies of “should” to sensor technologies of “could” to facilitate new understandings of health and wellness and drive new methods and practices of personal data sharing. 1. Data Security and Ownership - Sharing and Managing Personal Data 2. Game Changing Pressure for Affordable Healthcare 3. Continuous, Personal Data is Improving Lives 4. Emerging Tech-Empowered Citizens 5. Sensing for Self-Discovery, Culture and Play 6. User feedback/Supporting sustainable human behaviours – leveraging the gaming culture Chapter 8: Development and Deployment of Sensor Technologies for Home and Community Settings Chapter Goal: Reader should understand how to design a sensor deployment for a home or community. The chapter informs the reader how to formulate the research question the deployment will address, how to develop prototypes, and manage and deploy them successful. The chapter will finish with exemplar case studies of real world sensor deployments. Study Design – The Right QuestionHome Deployment ElementsHome Deployment ManagementThe Prototyping Design ProcessCase Studies Chapter 9: Body Worn and Ambient Sensor Applications for Assessment, Monitoring, and Diagnostics Chapter Goal: Reader should at the end of this chapter have an understanding of the key characteristics of how body worn and ambient sensor applications, and how they vary according to the domain in which they are deployed. The reader will be presented with the key challenges faced in each domain, and emerging solutions for these challenges. 1. Drivers and Inhibitors (Incidence of chronic diseases, aging demographics, Adjusting provider compensation, prevention, medical work practice changes) 2. Hospital based sensing for assessment and diagnosis 3. Supervised Assessment and Monitoring in Community Settings 4. Home Based Applications o Clinical grade sensing for patient monitoring o Body worn sensing (e.g. PERS) for monitoring and alerting o Passive sensing for monitoring and alerting (e.g. ADL’s) 5. Key challenges Chapter 10: Wellness, Fitness and Lifestyle Chapter Goal: Reader should understand the key trends in how people use body worn sensors to manage their fitness and wellbeing. Key applications include: sensors for measuring activities in sports performance, activity/weight management and sleep tracking, 1. Drivers and Inhibitors 2. Sports and fitness applications (running, walking cycling, field sports) § Vital signs and physiological parameters § Fitness gaming – Wii Fit, Kinect § muscle movement, body stress levels, speed, distance, location § Fitness Statistics and Analysis 3. Outdoor Activities o Pressure (mountaineer and paragliding) o GPS (hiking, cycling, golf) 4. Obesity and weight management 5. Sleep o Baby Monitoring o Sleep Quality – health and social impacts o Sleep Apnoea Chapter 11: Environmental Monitoring for Health and Wellness Chapter Goal: Reader should understand how sensors and sensor networks are used for environmental monitoring, one of the key emerging applications domains. Apart from disaster monitoring, sensing also has the potential for air quality, weather monitoring, pollution etc.; with benefits for both urban and rural dwellers. 1. Drivers and Inhibitors o Correlations to health impacts 2. Home Sensing o Carbon Monoxide o Smoke Detectors o Passive Infrared (PIR) o Temperature o Sound o Sustainable Living 3. Smart Environments 4. Environmental Parameters (Noise, Water, Bacteria, Air Quality, Radiation, Urban Heat Islands) 5. Weather - Exceptional Event and Disaster Management Intelligence Chapter 12: Conclusions and Future Directions Chapter Goal: Reader should understand the key conclusions that the authors have outlined in the previous chapters. The reader should also gain an understanding of the key trends which will affect future sensor applications and how people will utilise these novel applications in their everyday lives. 1. Summary of the overall conclusions 2. Future Directions for Sensing o Use Centred Healthcare o Citizen centric sensing o Influence of urbanisation on health, wellness and lifestyle choices. o Sustainable human behaviour change



Advances And Challenges In Multisensor Data And Information Processing


Advances And Challenges In Multisensor Data And Information Processing
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Author : Eric Lefebvre
language : en
Publisher: IOS Press
Release Date : 2007

Advances And Challenges In Multisensor Data And Information Processing written by Eric Lefebvre and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.


" Information fusion resulting from multi-source processing, often called multisensor data fusion when sensors are the main sources of information, is a relatively young (less than 20 years) technology domain. It provides techniques and methods for: Integrating data from multiple sources and using the complementarity of this data to derive maximum information about the phenomenon being observed; Analyzing and deriving the meaning of these observations; Selecting the best course of action; and Controlling the actions. Various sensors have been designed to detect some specific phenomena, but not others. Data fusion applications can combine synergically information from many sensors, including data provided by satellites and contextual and encyclopedic knowledge, to provide enhanced ability to detect and recognize anomalies in the environment, compared with conventional means. Data fusion is an integral part of multisensor processing, but it can also be applied to fuse non-sensor information (geopolitical, intelligence, etc.) to provide decision support for a timely and effective situation and threat assessment. One special field of application for data fusion is satellite imagery, which can provide extensive information over a wide area of the electromagnetic spectrum using several types of sensors (Visible, Infra-Red (IR), Thermal IR, Radar, Synthetic Aperture Radar (SAR), Polarimetric SAR (PolSAR), Hyperspectral...). Satellite imagery provides the coverage rate needed to identify and monitor human activities from agricultural practices (land use, crop types identification...) to defence-related surveillance (land/sea target detection and classification). By acquiring remotely sensed imagery over earth regions that land sensors cannot access, valuable information can be gathered for the defence against terrorism. This books deals with the following research areas: Target recognition/classification and tracking; Sensor systems; Image processing; Remote sensing and remote control; Belief functions theory; and Situation assessment. "



Recent Advances In Computational Intelligence In Defense And Security


Recent Advances In Computational Intelligence In Defense And Security
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Author : Rami Abielmona
language : en
Publisher: Springer
Release Date : 2015-12-21

Recent Advances In Computational Intelligence In Defense And Security written by Rami Abielmona and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-21 with Technology & Engineering categories.


This volume is an initiative undertaken by the IEEE Computational Intelligence Society’s Task Force on Security, Surveillance and Defense to consolidate and disseminate the role of CI techniques in the design, development and deployment of security and defense solutions. Applications range from the detection of buried explosive hazards in a battlefield to the control of unmanned underwater vehicles, the delivery of superior video analytics for protecting critical infrastructures or the development of stronger intrusion detection systems and the design of military surveillance networks. Defense scientists, industry experts, academicians and practitioners alike will all benefit from the wide spectrum of successful applications compiled in this volume. Senior undergraduate or graduate students may also discover uncharted territory for their own research endeavors.