Keeping Track Of Moving Targets
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Target Detection and Tracking by Bionanosensor Networks
This book describes the main ideas, methods, results and resources relevant to the study of bionanosensor networks. Its primary goal is to spark application-oriented studies of molecular communication; that is, to investigate how collections of bionanosensors, referred to here as bionanosensor networks, can be used for practical purposes such as nanomedical sensing. In particular, the book focuses on two key functionalities for nanomedical applications: target detection and target tracking. Bionanosensor networks represent a new interdisciplinary research area that expands the traditional area of network engineering by incorporating the latest advances in bionanotechnology. These networks consist of spatially distributed bionanosensors that are engineered with the help of bionanotechnology. As a research area, bionanosensor networks are aimed at designing robust networks on the basis of spatially distributed bionanosensors, as well as at developing innovative applications of those networks.
A Study on Moving Objects. Representation and Reasoning
Scientific Essay from the year 2015 in the subject Business economics - Information Management, grade: 7.0, , language: English, abstract: There are some researches that explore and help to solve the representation of moving objects, mainly focused on improving DBMS and Query Languages for support spatio-temporal information storing and processing. Some other researches present techniques to analyze trajectories using data mining, indexing and math operations. More recently, with the emergence of the Semantic Web, the tracking of trajectories of moving objects became a fully applicational field and an open area for ontology applications. This paper explores moving objects representation and reasoning, aiming to find out foundations for a semantic representation of moving objects approach, for solving some existing problems when considering spatio-temporal aspects and semantically enrich query results over any stored information of moving objects.
Human Behavior Understanding in Networked Sensing
This book provides a broad overview of both the technical challenges in sensor network development, and the real-world applications of distributed sensing. Important aspects of distributed computing in large-scale networked sensor systems are analyzed in the context of human behavior understanding, including topics on systems design tools and techniques. Additionally, the book examines a varied range of applications. Features: contains valuable contributions from an international selection of leading experts in the field; presents a high-level introduction to the aims and motivations underpinning distributed sensing; describes decision-making algorithms in the presence of complex sensor networks; provides a detailed analysis of the design, implementation, and development of a distributed network of homogeneous or heterogeneous sensors; reviews the application of distributed sensing to human behavior understanding and autonomous intelligent vehicles; includes a helpful glossary and a list of acronyms.