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A fully integrated CMOS RF transmitter for UHF mobile RFID reader applications

A fully integrated CMOS RF transmitter for UHF mobile RFID r...

引用

European Radar Conference (EURAD)

作者： Kyudon Choi Yunseong Eo Sungjae Jung Ickjin Kwon Heung-Bae Lee Young jin Kim Embedded System Solution Lab Samsung Advanced Institute of Technology Yongin si Gyeonggi South Korea Department of Electronic Engineering Kwangwoon University Seoul South Korea School of Electronics Telecommunication and Computer Engineering Hankuk Aviation University Goyang Gyeonggi South Korea

This paper presents a low power CMOS transmitter for UHF mobile RFID applications, in a 0.18-mum CMOS technology. It uses a directional coupler in front of an antenna to reduce transmitter carrier leakage at receiver front-end and to be integrated into mobile handset with a single antenna. It adapts a direct conversion transmitter and consists of low pass filter, variable gain amplifier, up-conversion mixer and drive amplifier. The transmitter supports both the single-side-band (SSB) and the double-side-band (DSB) modulation for the reader-to-tag communications. This IC consumes only 31 mA in SSB mode and 27 mA in DSB mode from a 1.8 V power supply voltage to provide a 4 dBm output power at drive amplifier. The measured LO leakage, output 1 dB compression point and 3 rd order output intercept point achieve 5SdBc, 4.5 dBm and 14.5 dBm, respectively.

关键词： Radio frequency Transmitters Radiofrequency identification CMOS technology Directive antennas Mobile antennas Receiving antennas Transmitting antennas Amplitude modulation Power amplifiers

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A Fully Integrated CMOS RF Transmitter for UHF Mobile RFID Reader Applications

A Fully Integrated CMOS RF Transmitter for UHF Mobile RFID R...

引用

37th European Microwave Conference (EUMC 2007), vol.4

作者： Kyudon Choi Yunseong Eo Sungjae Jung Ickjin Kwon Heung-Bae Lee Young-jin Kim Embedded System Solution Lab Samsung Advanced Institute of Technology Yongin si Gyeonggi South Korea Department of Electronic Engineering Kwangwoon University Seoul South Korea School of Electronics Telecommunication and Computer Engineering Hankuk Aviation University Goyang Gyeonggi South Korea

This paper presents a low power CMOS transmitter for UHF mobile RFID applications, in a 0.18-μm CMOS technology. It uses a directional coupler in front of an antenna to reduce transmitter carrier leakage at receiver front-end and to be integrated into mobile handset with a single antenna. It adapts a direct conversion transmitter and consists of low pass filter, variable gain amplifier, up-conversion mixer and drive amplifier. The transmitter supports both the single-side-band (SSB) and the double-side-band (DSB) modulation for the reader-to-tag communications. This IC consumes only 31mA in SSB mode and 27mA in DSB mode from a 1.8V power supply voltage to provide a 4dBm output power at drive amplifier. The measured LO leakage, output 1dB compression point and 3rd order output intercept point achieve 55dBc, 4.5dBm and 14.5dBm, respectively.

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A fully integrated CMOS RF transmitter for UHF mobile RFID reader applications

A fully integrated CMOS RF transmitter for UHF mobile RFID r...

引用

37th European Microwave Conference, EUMC

作者： Choi, Kyudon Eo, Yunseong Jung, Sungjae Kwon, Ickjin Lee, Heung-Bae Kim, Young-Jin Embedded System Solution Lab. Samsung Advanced Institute of Technology Mt. 14-1 Nongseo-dong Giheung-gu Yongin-si Gyunggi-do 446-712 Korea Republic of Department of Electronic Engineering Kwangwoon University 447-1 Wolgye-Dong Nowon-Gu Seoul 139-701 Korea Republic of School of Electronics Telecommunication and Computer Engineering Hankuk Aviation University 200-1 Hwajeon-Dong Deogyang-Gu Goyang-si Gyunggi-do 412-719 Korea Republic of

ISBN: (纸本)9782874870033

关键词： Transmitters

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DIGITAL WATERMARKING IN IMAGE AFFINE CO-VARIANT REGIONS

DIGITAL WATERMARKING IN IMAGE AFFINE CO-VARIANT REGIONS

引用

2007 International Conference on Machine Learning and Cybernetics(IEEE第六届机器学习与控制论国际会议)

作者： CHENG DENG XIN-BO GAO DA-CHENG TAO XUE-LONG LI Lab of Video & Image Processing System School of Electronic Engineering Xidian University Xi'an 7 Lab of Video & Image Processing System School of Electronic Engineering Xidian University Xi'an 7 Department of computing The Hong Kong Polytechnic University Hung Horn Kowloon Hong Kong School of Computer Science and Information Systems Birkbeck University of London London WC1E 7HX

In this paper, we present a robust approach of digital watermarking embedding and retrieval for digital *** new approach works in special domain and it has two major steps: (1) to extract affine co-variant regions, and (2) to embed watermarks with a novel fuzzy inference *** advantage of this proposed approach is demonstrated by a large amount of experiments, which are mainly against different attacks, such as common image processing, rotation, scaling, cropping, and several other affine transformations.

关键词： Robust digital watermarking Information security Affine co-variant regions Fuzzy inference system

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Robust moving object segmentation in the compressed domain for H.264/AVC video stream

Robust moving object segmentation in the compressed domain f...

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25th PCS: Picture Coding Symposium 2006, PCS2006

作者： Yang, Gaobo Yu, Shengfa Zhang, Zhaoyang Network and Information Security Lab School of Computer and Communication Hunan University Changsha Hunan 410082 China School of Electronic Science and Engineering National University of Defense Technology Changsha Hunan 410073 China Key Laboratory of Advanced Displays and System Application Shanghai University Ministry of Education Shanghai 200072 China

ISBN: (纸本)300018726X

Moving object segmentation in the compressed domain plays an important role in many real-time applications, e.g. video indexing, video surveillance, etc. H.264/AVC is the up-to-date video coding standard, which employs several new coding tools and provides a different video format. In this paper, a robust spatio-temporal segmentation approach to extract moving objects in the compressed domain for H.264 video stream is proposed. Coarse moving objects are firstly extracted from the motion vector field through the MRF classification process. Spatial segmentation is based on the HT coefficient, which is used to refine the object boundary of temporal segmentation results. Fusion of spatio-temporal segmentation is based on region projection based labeling technique. Further edge refinement is performed to smooth the object boundaries. The performance of the proposed approach is illustrated by simulation carried on several test sequences. Experimental results show that the proposed approach can provide the visually similar results as by using spatial domain process with much less computational complexity.

关键词： Image segmentation

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A Wrapper Generator for Integrated Information Retrieval

A Wrapper Generator for Integrated Information Retrieval

引用

Proceedings of the 6th Joint Conference on Information sciences, JCIS 2002

作者： Ho, Min-Huang Chang, Yue-Shan Sun, Wen-Chen Yuan, Shyan-Ming Department of Computer Science National Chiao Tung University Department of Electronic Engineering Ming-Hsin Institute of Technology Embedded System Lab Institute for Information Industry

ISBN: (纸本)0970789017

In the paper, we propose an XML-based framework for automatic wrapper generation. Different from the previous approaches, the wrapper generated within this framework is supported to the unified interface for the meta-search information retrieval system based on the Internet Search Service with CORBA standard. Taking advantages of the great compatibilities of CORBA and XML, the user can easily develop his information gathering application for a new search engine or any other information source from the Internet in a short period. The major contribution of this paper is to provide a CORBA and XML compliant solution of wrapper generator supported to unified interface for the information retriever. It is fast, easy, and efficient to design a uniform-mterface-ready wrapper for information retrieval application by the framework presented in this paper.

关键词： Information retrieval

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Obstacle classification by a line-crawling robot: A rough neurocomputing approach 3rd

Obstacle classification by a line-crawling robot: A rough ne...

引用

3rd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2002

作者： Peters, James F. Ahn, T.C. Borkowski, Maciej Department of Electrical and Computer Engineering University of Manitoba WinnipegMBR3T5V6 Canada Intelligent Information Control ann System Lab School of Electrical and Electronic Engineering Won-Kwang University 344-2 Shinyong-Dong Iksan Chon-Buk570-749 Korea Republic of

ISBN: (纸本)9783540442745

This article considers a rough neurocomputing approach to the design of the classify layer of a Brooks architecture for a robot control system. In the case of the line-crawling robot (LCR) described in this article, rough neurocomputing is used to classify sometimes noisy signals from sensors. The LCR is a robot designed to crawl along high-voltage transmission lines where noisy sensor signals are common because of the electromagnetic field surrounding conductors. In rough neurocomputing, training a network of neurons is defined by algorithms for adjusting parameters in the approximation space of each neuron. Learning in a rough neural network is defined relative to local parameter adjustments. Input to a sensor signal classifier is in the form of clusters of similar sensor signal values. This article gives a very brief description of a LCR that has been developed over the past three years as part of a Manitoba Hydro research project. This robot is useful in solving maintenance problems in power systems. A description of the basic features of the LCR control system and basic architecture of a rough neurocomputing system for robot navigation are given. A sample LCR sensor signal classification experiment is also given. © Springer-Verlag Berlin Heidelberg 2002.

关键词： Electromagnetic fields

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Genetic programming of process decomposition strategies for evolvable hardware

Genetic programming of process decomposition strategies for ...

引用

NASA/DoD Workshop on Evolvable Hardware

作者： Ho-Sik Seok Kwang-Ju Lee Byoung-Tak Zhang Dong-Wook Lee Kwee-Bo Sim Artificial Intelligence Laboratory SCAI School of Computer Science and Engineering Seoul National University Seoul South Korea Robotics and Intelligent Information System Lab Electrical and Electronic Engineering Chung-Ang University Seoul South Korea

Evolvable hardware is able to offer considerably higher performance than general-purpose processors and significantly more flexibility than ASICs. In order to take the advantages of general-purpose processors and ASICs, dividing a complex process into subprocesses is essential. In this paper, we propose a evolutionary method called context switching that splits a task into a set of subtasks whose complexity is manageable on the given hardware. The method is based on genetic programming. Due to its expressive power generic program can represent flexible strategies for decomposing complex tasks. The effectiveness of context switching is demonstrated on the design of adaptive controllers for a team of autonomous mobile robots.

关键词： Genetic programming Hardware Genetic algorithms Artificial intelligence intelligent robots Mobile robots Programmable control Adaptive control computer architecture Application specific integrated circuits

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Advances in Swarm Intelligence 1

引用

丛书名： Lecture Notes in computer science

1000年

作者： Ying Tan Yuhui Shi Zhen Ji

ISBN: (数字)9783642310201

ISBN: (纸本)9783642310195

This book and its companion volume, LNCS vols. 7331 and 7332, constitute the Proceedings of the Third International conference on Swarm Intelligence, ICSI 2012, held in Shenzhen, China in June 2012. The 145 full papers presented were carefully reviewed and selected from 247 submissions. The papers are organized in 27 cohesive sections covering all major topics of swarm intelligence research and developments.

关键词： Algorithm Analysis and Problem Complexity Information systems Applications (incl. Internet) Artificial Intelligence Computation by Abstract Devices computer Communication Networks Data Mining and Knowledge Discovery

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Advances in Swarm Intelligence 1

引用

丛书名： Lecture Notes in computer science

1000年

作者： Ying Tan Yuhui Shi Zhen Ji

ISBN: (数字)9783642309762

ISBN: (纸本)9783642309755

This book and its companion volume, LNCS vols. 7331 and 7332, constitute the proceedings of the Third International Conference on Swarm Intelligence, ICSI 2012, held in Shenzhen, China in June 2012. The 145 revised full papers presented were carefully reviewed and selected from 247 submissions. The papers are organized in 27 cohesive sections covering all major topics of swarm intelligence research and developments.

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