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IEEE/NLM Life Science Systems and Applications Workshop

作者： Jeong Ki Kim Jihoon Jeong Dong Sam Ha Hyung-soo Lee Department of Electrical and Computer Engineering Virginia Polytechnic Institute and State University Blacksburg VA USA Green Computing Research Division Electronics and Telecommunications Research Institute Daejeon South Korea

This paper presents implementation of a low-power quadrature voltage controlled oscillator (QVCO) for medical implant communication service (MICS) applications. The proposed QVCO adopts a parallel-coupling scheme to combine two current-reuse VCOs (P-QVCO). The proposed QVCO has been implemented in 180 nm RF CMOS technology. Simulation results show that the P-QVCO consumes 2.6 mA from 1.2 V supply and achieves very low phase noise of -140 dBc/Hz@1MHz when the carrier frequency is 400 MHz.

关键词： Voltage-controlled oscillators Phase noise Couplings Resistors Damping Microwave integrated circuits Transistors

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M-ary-state phase-shift-keying discrimination below the homodyne limit

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Physical Review A 2011年第6期84卷 062324-062324页

作者： F. E. Becerra J. Fan G. Baumgartner S. V. Polyakov J. Goldhar J. T. Kosloski A. Migdall Joint Quantum Institute Department of Physics University of Maryland and National Institute of Standards and Technology 100 Bureau Drive Gaithersburg Maryland 20899 USA Laboratory for Telecommunications Sciences 8080 Greenmead Drive College Park Maryland 20740 USA Department of Electrical and Computer Engineering 2410 A.V. Williams Building University of Maryland College Park Maryland 20742 USA Department of Electrical and Computer Engineering Johns Hopkins University Baltimore Maryland 21218 USA

We investigate a strategy for M-ary discrimination of nonorthogonal phase states with error rates below the homodyne limit. This strategy uses feed forward to update a reference field and signal nulling for the state discrimination. We experimentally analyze the receiver performance using postprocessing and a Bayesian strategy to emulate the feed-forward process. This analysis shows that for a moderate system detection efficiency, it is possible to surpass the homodyne error limit for quadrature phase-shift keying signals using feed forward.

关键词： phase-shift-keying discrimination homodyne error limit Quadrature phase shift keying Phase shift keying Discrimination post-treatment Reference Fields FEEDFORWARD STATE(PHASE)

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Swarm Robot Pattern Formation using a Morphogenetic Multi- Cellular based Self-organizing Algorithm

Swarm Robot Pattern Formation using a Morphogenetic Multi- C...

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2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)

作者： Hongliang Guo Yan Meng Yaochu Jin Department of Electrical and Computer Engineering Stevens Institute of TechnologyNJ 07030USA Department of Computing University of SurreyGuildfordSurrey GU2 7XHUK

Inspired by the major principles of gene regulation and cellular interactions in multi-cellular organismˇs development, we propose a distributed self-organizing algorithm for swarm robot pattern formation. In this approach, swarm robots are able to self-organize themselves into complex shapes driven by the dynamics of a gene regulatory network based model. This is a distributed approach, since only local interaction is needed for each robot to make decisions during shape formation without any global controller. The target shape is represented by the non-uniform rational B-spline (NURBS) and embedded into the gene regulation model, analogous to the morphogen gradients in morphogenesis. Since the self-organization algorithm does not need a global coordinate system, the target shape can be formed anywhere within the environment based on the current distribution of the robots. Simulation and experimental results demonstrate that the proposed algorithm is effective for complex shape construction and robust to environmental changes and system failures.

关键词： Robot kinematics Shape Robot sensing systems Spline Surface topography Surface reconstruction

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A rapid 2-D centerline extraction method based on tensor voting

A rapid 2-D centerline extraction method based on tensor vot...

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IEEE International Symposium on Biomedical Imaging

作者： Zhe Leng Julie R. Korenberg Badri Roysam Tolga Tasdizen The Department of Mechanical Engineering University of Utah UT USA The Brain Institute University of Utah UT USA Electrical Computer and Systems Engineering Department Rensselaer Polytechnic Institute NY USA The Scientific Computing and Imaging Institute University of Utah UT USA

ISBN: (纸本)9781424441273

Centerline extraction is widely used in medical image processing. It can benefit applications such as building the connectivity map of neurons from microscopic images as well as examining retina vessels for preventing blindness. Many methods have been developed to extract centerlines from 2-D images. An algorithm based on 2-D rapid tensor voting is proposed in this paper. This method uses the Canny edge detector and a simple ridge finding algorithm to roughly extract centerlines, which is fast, does not require any seeds and allows the object to be disconnected. Then efficient 2-D tensor voting is applied to enhance the centerline, which can rapidly bridge the gaps caused by the earlier step and reject artifacts due to noise. We demonstrate the robustness of the algorithm and compare with existing methods. The result shows good computational efficiency as well as accuracy.

关键词： Tensile stress Pixel Image edge detection Retina Nerve fibers Feature extraction computers

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An intelligent fault recognizer for rotating machinery via remote characteristic vibration signal detection

An intelligent fault recognizer for rotating machinery via r...

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IEEE International Conference on Cognitive Informatics

作者： Cyprian F. Ngolah Ed Morden Yingxu Wang Sentinel Trending & Diagnostics Limited Calgary Canada International Institute of Cognitive Informatics and Cognitive Computing (IICICC) Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary Canada

Monitoring industrial machine health in real-time is not only highly demanded but also significantly complicated and difficult. Possible reasons for this include: (a) Access to the machines on site is sometimes impracticable; and (b) The environment in which they operate is usually not human-friendly due to pollution, noise, hazardous wastes, etc. Despite the theoretically sound findings on developing intelligent solutions for machine condition based monitoring, there are few commercial tools in the market that can readily be used. This paper reports on the development of an intelligent fault recognition and monitoring system (Melvin I), which detects and diagnoses rotating machine conditions according to changes in fault frequency indicators. The signals and data are remotely collected from designated sections of machines via data acquisition cards. They are processed by a signal processor in order to extract characteristic vibration signals of ten key performance indicators (KPIs). A 3-layer neural network is designed to recognize and classify faults based on the set of KPIs. The system implemented in our laboratory and applied in the field can also incorporate new experiences into the knowledge base without overwriting previous training. Preliminary results have demonstrated that Melvin I is a smart tool for both system vibration analysts and industrial machine operators.

关键词： Artificial neural networks Shafts Biological information theory

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An ultra-fast hybrid simulation framework for ASIP

An ultra-fast hybrid simulation framework for ASIP

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IEEE International Conference on Electronics, Circuits and Systems (ICECS)

作者： Ji Qiu Xiang Gao Yifei Jiang Xu Xiao Key Laboratory of Computer System and Architecture Institute of Computing Technology Chinese Academy of Sciences (CAS) Beijing China Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL USA

ISS (Instruction Set Simulator) plays an important role in pre-silicon software development for ASIP. However, the speed of traditional simulation is too slow to effectively support full-scale software development. In this paper, we propose a hybrid simulation framework which further improves the previous simulation methods by aggressively utilizing the host machine resources. The utilization is achieved by categorizing instructions of ASIP application into two types, namely custom and basic instructions, via binary instrumentation. Then in a way of hybrid simulation, only custom instructions are simulated on the ISS and basic instructions are executed fast and natively on the host machine. We implement this framework for an industrial ASIP to validate our approach. Experimental results show that when the implemented ISS, namely GS-Sim, is applied to practical multimedia decoders, an average simulation speed up to 1058.5MIPS can be achieved, which is 34.7 times of the state-of-art dynamic binary translation simulator and is the fastest to the best of our knowledge.

关键词： Instruments Context Programming Decoding Switches Prototypes Context modeling

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The operational semantics of Concept Algebra for cognitive computing and machine learning

The operational semantics of Concept Algebra for cognitive c...

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IEEE International Conference on Cognitive Informatics

作者： Yingxu Wang Yousheng Tian Kendall Hu International Institute of Cognitive Informatics and Cognitive Computing (IICICC) Theoretical and Empirical Software Engineering Research Centre (TESERC) Department of Electrical and Computer Engineering Schulich School of Engineering University of Calgary Calgary AB Canada

Concept Algebra (CA) is a denotational mathematical structure for formal knowledge representation and manipulations in cognitive computing and machine learning. CA provides a rigorous and dynamic knowledge modeling and processing tool, which extends the informal, static, and application-specific ontological technologies. An operational semantics for the calculus of CA is formally elaborated using a set of computational processes in real-time process algebra (RTPA). A case study is presented on how machines and agents may mimic the key ability of human beings to autonomously manipulate knowledge using CA. This work demonstrates the expressive power and a wide range of applications of CA for both humans and machines in cognitive computing, semantic computing, machine learning, and computational intelligence.

关键词： Computational modeling computer aided instruction

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An ultrasound system for tumor detection in soft tissues using low transient pulse

An ultrasound system for tumor detection in soft tissues usi...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Ashish R. Ratnakar MengChu Zhou Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA MoE Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

This work presents a method to detect the size and location of tumor in soft tissues using ultrasound. Quantitative ultrasound is utilized to allow an ultrasound signal to be sent from a transmitter to multiple receivers. This received signal is analyzed for echogenic and echolucent tumors to differentiate between the two along with non-tumor sample and also studied for the delay to determine the size/location of the tumor. The proposed system utilizes Low Transient Pulse (LTP) technique and is implemented using Field Programmable Gate Array (FPGA) and Digital Signal Processor (DSP) technologies. In this co-design architecture, DSP carries out the analysis of received demodulated signal at a lower speed while FPGA runs at a higher one to generate LTP signal and demodulate bandpass ultrasonic signal. This work elaborates the implementation of Quadrature Amplitude Modulation (QAM) receiver on FPGA for the received signal from an ultrasound detector. LTP is applied to the tumor samples through the transmitter and the received signal at an ultrasonic receiver is passed through QAM to obtain different maxima that are then further used to compute the location and the size of the tumor using DSP. This dual platform co-design demonstrates a good application of a FPGA/DSP platform for the LTP generation and received signal processing.

关键词： Digital signal processing Field programmable gate arrays Tumors Ultrasonic imaging Clocks Quadrature amplitude modulation Receivers

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Improved condition for controllability of strongly dependent strict minimal siphons in Petri nets

Improved condition for controllability of strongly dependent...

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IEEE International Conference on Networking, Sensing and Control

作者： GuanJun Liu ChangJun Jiang MengChu Zhou Key Laboratory of the MoE for Embedded System and Service Computing University of Tongji Shanghai China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

Li and Zhou propose an important concept for Petri nets: elementary siphons. They partition siphons into elementary and dependent ones. The controllability of the latter can be ensured by the former's proper control. They give a sufficient condition to decide whether a dependent siphon is controlled by its elementary ones in S 3 PR. However, this condition is so loose that in many cases the controllability of a dependent SMS cannot be determined although it is actually controlled. In this paper, we propose an improved condition to decide the controllability of strongly dependent SMS.

关键词： Controllability System recovery Nickel Flexible manufacturing systems Petri nets Sufficient conditions Control theory

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Flexible Electronics: Stretchable Semiconductor Technologies with High Areal Coverages and Strain-Limiting Behavior: Demonstration in High-Efficiency Dual-Junction GaInP/GaAs Photovoltaics (Small 12/2012)

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Small 2012年第12期8卷

作者： Jongho Lee Jian Wu Jae Ha Ryu Zhuangjian Liu Matthew Meitl Yong-Wei Zhang Yonggang Huang John A. Rogers Department of Mechatronics Gwangju Institute of Science and Technology (GIST) 123 Cheomdan-gwagiro Buk-gu Gwangju 500-712 Korea Department of Engineering Mechanics Tsinghua University Beijing 100084 China Department of Materials Science and Engineering Frederick Seitz Materials Research Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis 138632 Singapore Semprius 4915 Prospectus Dr. Durham NC 27713 USA Department of Mechanical Engineering Civil and Environmental Engineering Northwestern University Evanston IL 60208 USA Department of Materials Science and Engineering Department of Chemistry Department of Mechanical Science and Engineering Department of Electrical and Computer Engineering Frederick Seitz Materials Research Laboratory Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-Champaign Urbana IL 61801 USA

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