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Author: Jae Sung Choi Publisher: ISBN: Category : Radio frequency Languages : en Pages :
Book Description
In a smart environment, accurate locations of objects are a fundamental and critical issue. To achieve this goal, we present several methods based on passive far-field UHF RFID technologies, which can satisfy accuracy, robustness and reliability, cost efficiency, simplicity, compatibility, and scalability. Our research overcomes several negative characteristics of the use of cost efficient passive UHF RFID. Our research has several important contributions. First, we study the causes of the problems of using passive UHF RFID in localization, with detailed empirical results, and then, present the impacts of the causes on existing localization techniques such as KNN. Second, we present a new model of backscattered signal strength for passive far-field UHF RFID system under tag-to-tag interference. We propose a method to estimate power variations due to tag interference, based on a tag-to-tag distance and angle using a second order under-damped system. We present a novel localization algorithm to estimate target object location using our Tag-to-tag Interference Model (LMTI). According to the empirical results, LMTI improves accuracy be over 200% compared with RSSI based KNN algorithm when objects are empty boxes, and 127% improvement when objects are the print cartridges contained in aluminum foil bags. Third, we present another approach to achieve accurate localization. Localization using Detection of Tag Interference (LDTI) algorithm, which detects the tag interference on a map of reference tags to estimate target location. To avoid selection of spatially non-adjacent reference tags, we also present the most interfered reference group finding algorithm, which considers spatial relations between reference tags. LDTI based smart shelf performs on average 0.0948m estimation error for 9 empty cardboard boxes, and average 0.1831m estimation error for 9 print cartridge containers, which is a 71% accuracy improvement compared to the KNN algorithm. Finally, we present a novel Vision and passive UHF RFID integrated Localization (VRL) system on smart shelf application to improve performance under harsh conditions. VRL performs on average 0.079m estimation error for 10 print cartridge containers, which is a 61% accuracy improvement compared to the LDTI algorithm under low False Negative Reference (FNR) interrogation conditions. Moreover, it shows 555% computation overhead reduction compared a homogeneous vision system. In high FNR conditions, VRL system achieves over 620% increased accuracy compared to LDTI, and 437% reduced computation time compared to a pure vision based localization system.
Author: Jae Sung Choi Publisher: ISBN: Category : Radio frequency Languages : en Pages :
Book Description
In a smart environment, accurate locations of objects are a fundamental and critical issue. To achieve this goal, we present several methods based on passive far-field UHF RFID technologies, which can satisfy accuracy, robustness and reliability, cost efficiency, simplicity, compatibility, and scalability. Our research overcomes several negative characteristics of the use of cost efficient passive UHF RFID. Our research has several important contributions. First, we study the causes of the problems of using passive UHF RFID in localization, with detailed empirical results, and then, present the impacts of the causes on existing localization techniques such as KNN. Second, we present a new model of backscattered signal strength for passive far-field UHF RFID system under tag-to-tag interference. We propose a method to estimate power variations due to tag interference, based on a tag-to-tag distance and angle using a second order under-damped system. We present a novel localization algorithm to estimate target object location using our Tag-to-tag Interference Model (LMTI). According to the empirical results, LMTI improves accuracy be over 200% compared with RSSI based KNN algorithm when objects are empty boxes, and 127% improvement when objects are the print cartridges contained in aluminum foil bags. Third, we present another approach to achieve accurate localization. Localization using Detection of Tag Interference (LDTI) algorithm, which detects the tag interference on a map of reference tags to estimate target location. To avoid selection of spatially non-adjacent reference tags, we also present the most interfered reference group finding algorithm, which considers spatial relations between reference tags. LDTI based smart shelf performs on average 0.0948m estimation error for 9 empty cardboard boxes, and average 0.1831m estimation error for 9 print cartridge containers, which is a 71% accuracy improvement compared to the KNN algorithm. Finally, we present a novel Vision and passive UHF RFID integrated Localization (VRL) system on smart shelf application to improve performance under harsh conditions. VRL performs on average 0.079m estimation error for 10 print cartridge containers, which is a 61% accuracy improvement compared to the LDTI algorithm under low False Negative Reference (FNR) interrogation conditions. Moreover, it shows 555% computation overhead reduction compared a homogeneous vision system. In high FNR conditions, VRL system achieves over 620% increased accuracy compared to LDTI, and 437% reduced computation time compared to a pure vision based localization system.
Author: James J. Park Publisher: Springer ISBN: 9811076057 Category : Technology & Engineering Languages : en Pages : 1520
Book Description
This book presents the combined proceedings of the 12th KIPS International Conference on Ubiquitous Information Technologies and Applications (CUTE 2017) and the 9th International Conference on Computer Science and its Applications (CSA2017), both held in Taichung, Taiwan, December 18 - 20, 2017. The aim of these two meetings was to promote discussion and interaction among academics, researchers and professionals in the field of ubiquitous computing technologies. These proceedings reflect the state of the art in the development of computational methods, involving theory, algorithms, numerical simulation, error and uncertainty analysis and novel applications of new processing techniques in engineering, science, and other disciplines related to ubiquitous computing. James J. (Jong Hyuk) Park received Ph.D. degrees in Graduate School of Information Security from Korea University, Korea and Graduate School of Human Sciences from Waseda University, Japan. From December, 2002 to July, 2007, Dr. Park had been a research scientist of R&D Institute, Hanwha S&C Co., Ltd., Korea. From September, 2007 to August, 2009, He had been a professor at the Department of Computer Science and Engineering, Kyungnam University, Korea. He is now a professor at the Department of Computer Science and Engineering and Department of Interdisciplinary Bio IT Materials, Seoul National University of Science and Technology (SeoulTech), Korea. Dr. Park has published about 200 research papers in international journals and conferences. He has been serving as chair, program committee, or organizing committee chair for many international conferences and workshops. He is a steering chair of international conferences – MUE, FutureTech, CSA, CUTE, UCAWSN, World IT Congress-Jeju. He is editor-in-chief of Human-centric Computing and Information Sciences (HCIS) by Springer, The Journal of Information Processing Systems (JIPS) by KIPS, and Journal of Convergence (JoC) by KIPS CSWRG. He is Associate Editor / Editor of 14 international journals including JoS, JNCA, SCN, CJ, and so on. In addition, he has been serving as a Guest Editor for international journals by some publishers: Springer, Elsevier, John Wiley, Oxford Univ. press, Emerald, Inderscience, MDPI. He got the best paper awards from ISA-08 and ITCS-11 conferences and the outstanding leadership awards from IEEE HPCC-09, ICA3PP-10, IEE ISPA-11, PDCAT-11, IEEE AINA-15. Furthermore, he got the outstanding research awards from the SeoulTech, 2014. His research interests include IoT, Human-centric Ubiquitous Computing, Information Security, Digital Forensics, Vehicular Cloud Computing, Multimedia Computing, etc. He is a member of the IEEE, IEEE Computer Society, KIPS, and KMMS. Vincenzo Loia (BS ‘85, MS ‘87, PhD ‘89) is Full Professor of Computer Science. His research interests include Intelligent Agents, Ambient intelligence, Computational Intelligence. Currently he is Founder & Editor-in-chief of “Ambient Intelligence and Humanized Computing”, and Co-Editor-in-Chief of “Softcomputing”, Springer-Verlag. He is Chair of the Task Forces “Intelligent Agents” and “Ambient Intelligence” IEEE CIS ETTC. He has been Chair the Emergent Technical Committe "Emergent Technology", IEEE CIS Society and Vice-Chair of Intelligent Systems Applications Technical Committee. He has been author of more than 200 scientific works, Editor/co-editor of 4 Books, 64 journal papers, 25 book chapters, and 100 conference papers. He is Senior member of the IEEE, Associate Editor of IEEE Transactions on Industrial Informatics, and Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics: Systems. Many times reviewers for national and international projects, Dr. Loia is active in the research domain of agents, ambient intelligence, computational intelligence, smartgrids, distributed platform for enrich added value. Gangman Yi in Computer Sciences at Texas A&M University, USA in 2007, and doctorate in Computer Sciences at Texas A&M University, USA in 2011. In May 2011, he joined System S/W group in Samsung Electronics, Suwon, Korea. He joined the Department of Computer Science & Engineering, Gangneung-Wonju National University, Korea, since March 2012. Dr. Yi has been researched in an interdisciplinary field of researches. His research focuses especially on the development of computational methods to improve understanding of biological systems and its big data. Dr. Yi actively serves as a managing editor and reviewer for international journals, and chair of international conferences and workshops. Yunsick Sung received his B.S. degree in division of electrical and computer engineering from Pusan National University, Busan, Korea, in 2004, his M.S. degree in computer engineering from Dongguk University, Seoul, Korea, in 2006, and his Ph.D. degree in game engineering from Dongguk University, Seoul, Korea, in 2012. He was employed as a member of the researcher at Samsung Electronics between 2006 and 2009. He was the plural professor at Shinheung College in 2009 and at Dongguk University in 2010. His main research interests are many topics in brain-computer Interface, programming by demonstration, ubiquitous computing and reinforcement learning. His Journal Service Experiences is Associate Editor at Human-centric Computing and Information Sciences, Springer (2015- Current).
Author: Jinsong Han Publisher: Springer ISBN: 3319126466 Category : Computers Languages : en Pages : 66
Book Description
This SpringerBrief examines the use of cheap commercial passive RFID tags to achieve accurate device-free object-tracking. It presents a sensitive detector, named Twins, which uses a pair of adjacent passive tags to detect uncooperative targets (such as intruders). Twins leverages a newly observed phenomenon called critical state that is caused by interference among passive tags. The author expands on the previous object tracking methods, which are mostly device-based, and reveals a new interference model and their extensive experiments for validation. A prototype implementation of the Twins-based intrusion detection scheme with commercial off-the-shelf reader and tags is also covered in this SpringerBrief. Device-Free Object Tracking Using Passive Tags is designed for researchers and professionals interested in smart sensing, localization, RFID and Internet of Things applications. The content is also useful for advanced-level students studying electrical engineering and computer science.
Author: Alseny Diallo Publisher: ISBN: Category : Global Positioning System Languages : en Pages :
Book Description
Location-based services (LBSs) are significantly becoming a vital part of life. Global Navigation Satellite Systems such as GPS have been used in a wide range of applications, from transport navigation, and synchronization of telecommunications networks. GPS works remarkably well in outdoor positioning. However, GPS does not perform well when the target object is close to walls, buildings, trees, or indoor environments. This is because the signal from the GPS satellites is too weak to penetrate an obstacle like concrete walls and buildings. Due to the complicated characteristics of indoor environments, the development of an indoor localization technique is always linked with a set of difficulties. For instance, indoor localization systems are challenged by the influence of obstacles like equipment, movement of human beings, doors, walls, and more. To overcome those challenges, we propose an indoor localization system that uses radio frequency identification tags or RFID tags to localize moving targets. Our indoor localization algorithm derives the accurate location of a target object using a set of RFID tags deployed in a predefined area. Our localization algorithm derives the target device’s location based on the signal it receives from surrounding tags. Depending on the number of tags in the surrounding area, the algorithm uses different formulas to calculate the target’s location. Specifically, there are three different cases. A case where a target object is nearby one tag, two tags or three tags. The localization algorithm works well when an area is well covered by tags. To optimize the coverage using a limited number of tags, we developed a greedy algorithm that uses a novel score function to help deploy the RFID tags in a predefined area to guarantee maximum coverage. This approach is evaluated using both simulation and real system use cases. Additionally, we designed a system deployment that uses the localization algorithm and the tag deployment algorithm to track several target objects in a 2-dimensional space. The system is proven to be reliable, fault-tolerant and scale very well with an increase in workload. The results show our approach is effective in localizing target objects with high accuracy.
Author: Miodrag Bolic Publisher: John Wiley & Sons ISBN: 0470975660 Category : Technology & Engineering Languages : en Pages : 549
Book Description
This book provides an insight into the 'hot' field of Radio Frequency Identification (RFID) Systems In this book, the authors provide an insight into the field of RFID systems with an emphasis on networking aspects and research challenges related to passive Ultra High Frequency (UHF) RFID systems. The book reviews various algorithms, protocols and design solutions that have been developed within the area, including most recent advances. In addition, authors cover a wide range of recognized problems in RFID industry, striking a balance between theoretical and practical coverage. Limitations of the technology and state-of-the-art solutions are identified and new research opportunities are addressed. Finally, the book is authored by experts and respected researchers in the field and every chapter is peer reviewed. Key Features: Provides the most comprehensive analysis of networking aspects of RFID systems, including tag identification protocols and reader anti-collision algorithms Covers in detail major research problems of passive UHF systems such as improving reading accuracy, reading range and throughput Analyzes other "hot topics" including localization of passive RFID tags, energy harvesting, simulator and emulator design, security and privacy Discusses design of tag antennas, tag and reader circuits for passive UHF RFID systems Presents EPCGlobal architecture framework, middleware and protocols Includes an accompanying website with PowerPoint slides and solutions to the problems http://www.site.uottawa.ca/~mbolic/RFIDBook/ This book will be an invaluable guide for researchers and graduate students in electrical engineering and computer science, and researchers and developers in telecommunication industry.
Author: Roy D. Yates Publisher: John Wiley & Sons ISBN: 1118324560 Category : Mathematics Languages : en Pages : 514
Book Description
This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester.
Author: Daniel Giusto Publisher: Springer Science & Business Media ISBN: 1441916741 Category : Technology & Engineering Languages : en Pages : 452
Book Description
This book constitutes the proceedings from the 20th Tyrrhenian Workshop on Digital Communications, held September 2009 in Pula, Sardinia, Italy and focused on the "Internet of Things."
Author: Anthony LaMarca Publisher: Morgan & Claypool Publishers ISBN: 1598295829 Category : Technology & Engineering Languages : en Pages : 134
Book Description
Advances in electronic location technology and the coming of age of mobile computing have opened the door for location-aware applications to permeate all aspects of everyday life. Location is at the core of a large number of high-value applications ranging from the life-and-death context of emergency response to serendipitous social meet-ups. For example, the market for GPS products and services alone is expected to grow to US$200 billion by 2015. Unfortunately, there is no single location technology that is good for every situation and exhibits high accuracy, low cost, and universal coverage. In fact, high accuracy and good coverage seldom coexist, and when they do, it comes at an extreme cost. Instead, the modern localization landscape is a kaleidoscope of location systems based on a multitude of different technologies including satellite, mobile telephony, 802.11, ultrasound, and infrared among others. This lecture introduces researchers and developers to the most popular technologies and systems for location estimation and the challenges and opportunities that accompany their use. For each technology, we discuss the history of its development, the various systems that are based on it, and their trade-offs and their effects on cost and performance. We also describe technology-independent algorithms that are commonly used to smooth streams of location estimates and improve the accuracy of object tracking. Finally, we provide an overview of the wide variety of application domains where location plays a key role, and discuss opportunities and new technologies on the horizon. Table of Contents: Introduction / The Global Positioning System / Infrared and Ultrasonic Systems / Location Esimation with 802.11 / Cellular-Based Systems / Other Approaches / Improving Localization Accuracy / Location-Based Applications and Services / Challenges and Opportunities / References
Author: Jae Sung Choi
Author: Jae Sung Choi
Author: James J. Park
Author: Jinsong Han
Author: Martin Scherhäufl
Author: Alseny Diallo
Author: 
Author: Miodrag Bolic
Author: Roy D. Yates
Author: Daniel Giusto
Author: Anthony LaMarca