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    Theoretical Analysis of Metallic Nanoparticles on Blood Flow Through Tapered Elastic Artery With Overlapping Stenosis

    Nadeem, S. ; ijaz, S.
    NanoBioscience, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TNB.2015.2389253
    Publication Year: 2015 , Page(s): 1

    IEEE Early Access Articles

    The purpose of the present analysis is to discuss mathematical model of blood ??ow through an elastic artery with overlapping stenosis under the in??uence of metallic nanoparticles. The metallic nanoparticles analysis for the blood ??ow with overlapping steno- sis is not explored so far. The governing equations for a mild stenosis case have been modeled to obtain exact solutions of velocity pro??le, temperature pro??le and pressure gradient. The expressions of impedance resistance to ??ow and wall shear stress are computed. The e¤ects of di¤erent emerging ??ow parameters are discussed through graphs for di¤erent values of interest. At the end, the contribution of metallic nanoparticles reveals that is important to reduce the signi??cances of the wall shear stress and resistance impedance to ??ow. View full abstract»

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    Domain Wall Memory-Layout, Circuit and Synergistic Systems

    Motaman, S. ; Iyengar, A.S. ; Ghosh, S.
    Nanotechnology, IEEE Transactions on

    Volume: 14 , Issue: 2
    DOI: 10.1109/TNANO.2015.2391185
    Publication Year: 2015 , Page(s): 282 - 291

    IEEE Journals & Magazines

    Domain wall memory (DWM) is gaining significant attention for embedded cache application due to low standby power, excellent retention, and ability to store multiple bits per cell. Additionally, it provides fast access time, good endurance, and good retention. However, it suffers from poor write latency, shift latency, shift power, and write power. DWM is sequential in nature and latency of read/write operations depends on the offset of the bit from the read/write head. This paper investigates the circuit design challenges such as bitcell layout, head positioning, utilization factor of the nanowire, shift power, shift latency, and provides solutions to deal with these issues. A synergistic system is proposed by combining circuit techniques such as merged read/write heads (for compact layout), flipped-bitcell and shift gating (for shift power optimization), wordline strapping (for access latency), shift circuit design with two micro-architectural techniques: 1) segmented cache and 2) workload-aware dynamic shift and write current boosting to realize energy-efficient and robust DWM cache. Simulations show 3-33% performance and 1.2-14.4X power consumption improvement for cache segregation and 2.5-31% performance and 1.3-14.9X power enhancement for dynamic current boosting over a wide range of PARSEC benchmarks. View full abstract»

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    Long-Range Interferometric Displacement Sensing With Tapered Optical Fiber Tips

    Moreno-Hernandez, C.J. ; Monzon-Hernandez, D. ; Martinez-Rios, A. ; Moreno-Hernandez, D. ; Villatoro, J.
    Photonics Technology Letters, IEEE

    Volume: 27 , Issue: 4
    DOI: 10.1109/LPT.2014.2375651
    Publication Year: 2015 , Page(s): 379 - 382

    IEEE Journals & Magazines

    A Fabry-Perot interferometer built with a properly selected tapered optical fiber tip and a flat reflecting target is proposed for long range displacement sensing. By scaling down the diameter of the core and cladding of the optical fiber that forms the interferometer, the divergence of the output beam is reduced. The tapered fiber tip also couples the reflected light from the target more efficiently. As a result, well-defined interference patterns are observed even for long cavities which allows to sense displacements as long as 80 mm. The fabrication of the fiber tips is simple and reproducible and the interrogation of the interference patterns is fast as a conventional fiber Bragg grating interrogator can be used. The possibility of multiaxis displacement sensing is discussed. View full abstract»

  • Open Access

    The Emerging Internet of Things Marketplace From an Industrial Perspective: A Survey

    Perera, C. ; Liu, C.H. ; Jayawardena, S.
    Emerging Topics in Computing, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TETC.2015.2390034
    Publication Year: 2015 , Page(s): 1

    IEEE Early Access Articles

    The Internet of Things (IoT) is a dynamic global information network consisting of internet-connected objects, such as RFIDs, sensors, actuators, as well as other instruments and smart appliances that are becoming an integral component of the future internet. Over the last decade, we have seen a large number of the IoT solutions developed by start-ups, small and medium enterprises, large corporations, academic research institutes (such as universities), and private and public research organisations making their way into the market. In this paper, we survey over one hundred the IoT smart solutions in the marketplace and examine them closely in order to identify their applications and the technologies they use. More importantly, we identify the trends, opportunities and open challenges in the industry-based the IoT solutions. Based on the application domain, we classify and discuss these solutions under five different categories: smart wearable, smart home, smart, city, smart environment, and smart enterprise. This survey is intended to serve as a guideline and conceptual framework for future research in the IoT and to motivate and inspire further developments. It also provides a systematic exploration of existing research and suggests a number of potentially significant research directions. View full abstract»

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    An Intermittent Self-Powered Energy Harvesting System from Low-Frequency Hand Shaking

    Liu, H. ; Ji, Z. ; Chen, T. ; Sun, L. ; Menon, S. ; Lee, C.
    Sensors Journal, IEEE

    Volume: PP , Issue: 99
    DOI: 10.1109/JSEN.2015.2411313
    Publication Year: 2015 , Page(s): 1

    IEEE Early Access Articles

    This work presents the design, fabrication and characterization of a self-powered energy harvesting system in intermittent working mode. The system consists of an electromagnetic energy harvesting (EMEH) device, a self-driven power management circuit (PMC) and an electronic load. The harvesting device with nonlinear magnetic-spring configuration converts vibration energy into electrical energy from low-frequency hand shaking of human being. The PMC is able to regulate, store the generated energy and smart control the powering of the electronic load without any external voltage supply. The self-powered energy harvesting system is constructed especially for the circumstance that the power generation is insufficient to directly power-up the load. Future potential application could be self-powered microelectronics and wireless sensor nodes. View full abstract»

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    Stretchable wireless power transfer with a liquid alloy coil

    Seung Hee Jeong ; Zhigang Wu
    Micro Electro Mechanical Systems (MEMS), 2015 28th IEEE International Conference on

    DOI: 10.1109/MEMSYS.2015.7051165
    Publication Year: 2015 , Page(s): 1137 - 1140

    IEEE Conference Publications

    An integrated stretchable wireless power transfer device was demonstrated by packaging rigid electronic chips onto a liquid alloy coil patterned on a half-cured polydimethylsiloxane (PDMS) surface. To obtain low enough resistance, the long liquid alloy coil with a large cross section was made with a tape transfer masking followed by spray deposition of the liquid alloy. The measured results indicated the wireless power transfer efficiency reached 10% at 140 kHz and good performance under 25% overall strain. Different sizes of liquid alloy coils and a soft magnetic composite core were tested to improve the efficiency of the system. View full abstract»

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    A Fault-Tolerant Strategy to Control the Matrix Converter Under an Open-Switch Failure

    Dasika, J.D. ; Saeedifard, M.
    Industrial Electronics, IEEE Transactions on

    Volume: 62 , Issue: 2
    DOI: 10.1109/TIE.2014.2341565
    Publication Year: 2015 , Page(s): 680 - 691

    IEEE Journals & Magazines

    In this paper, a new post-fault modulation strategy is proposed to operate the direct matrix converter as close as possible to its desired normal operation under an open-switch fault condition. The proposed strategy determines appropriate switching states associated with eight, out of the nine, remaining healthy switches of the converter, to synthesize the reference voltages. The corresponding duty cycles of the determined switching states are calculated by formulating a nonlinear optimization problem that aims at minimization of the error between the desired reference voltages and the voltages generated by the switching states. The solution to the nonlinear optimization problem is obtained based on the Karush-Kuhn-Tucker conditions. The performance of the proposed modulation strategy is evaluated based on time-domain simulation studies in the MATLAB/Simulink software environment and also experimentally verified. View full abstract»

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    Efficient High-Peak-Power Wavelength-Switchable Femtosecond Yb:LGGG Laser

    Fei Lou ; Zhi-Tai Jia ; Jing-Liang He ; Ru-Wei Zhao ; Jia Hou ; Zhao-Wei Wang ; Shan-De Liu ; Bai-Tao Zhang ; Chun-Ming Dong
    Photonics Technology Letters, IEEE

    Volume: 27 , Issue: 4
    DOI: 10.1109/LPT.2014.2375178
    Publication Year: 2015 , Page(s): 407 - 410

    IEEE Journals & Magazines

    A systematic study of the spectral properties and ultrafast lasing characteristics of Yb:(LuxGd1-x)3Ga5O12(x = 0.062) (Yb:LGGG) disordered crystal was reported for the first time. The broad fluorescence spectral lines indicate a great potential of Yb:LGGG for tunable and ultrafast laser application. In the lasing experiment, a passively mode-locked Yb:LGGG laser was realized, which generated a maximum average power of 1.3 W with pulse duration of 324 fs at the central wavelength of 1029.6 nm, corresponding to a slope efficiency as high as 41.6%. The pulse energy and peak power were calculated to be 22.4 nJ and 69.2 kW. By optimizing the cavity design, the shortest pulse duration of 188 fs was achieved at the central wavelength of 1026.8 nm. In this case, the maximum average output power of 0.77 W was generated with a slope efficiency of 27.1%. The experimental results show the excellent potential of Yb:LGGG crystal for high-efficiency and high-peak-power femtosecond laser. View full abstract»

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    Controlled In-Plane Locomotion of a Hexapod Using a Single Actuator

    Zarrouk, D. ; Fearing, R.S.
    Robotics, IEEE Transactions on

    Volume: 31 , Issue: 1
    DOI: 10.1109/TRO.2014.2382981
    Publication Year: 2015 , Page(s): 157 - 167

    IEEE Journals & Magazines

    This paper presents “1STAR,” which is the first robot that is driven by a single actuator but can be directly commanded to move straight or turn clockwise or counterclockwise. The legged robot relies on a novel actuation gait, which exploits the compliance disparity between alternate stance tripods, to generate rotation by continuously accelerating and decelerating the legs. The direction of turning depends on the configuration of the legs-tripod left or right-and the timing of the acceleration and deceleration. Alternating leg acceleration in successive steps allows for continuous rotation in the desired direction. The turning radius can be varied by changing the timing of the leg acceleration and deceleration without changing the cycle frequency and linear speed. A simplified kinematic motion model of a robot is presented, and a dynamic simulation is performed to analyze the behavior and optimize robot parameters. The locomotion gait is verified experimentally using our newly designed “1STAR” robot. View full abstract»

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    On the Spatiotemporal Traffic Variation in Vehicle Mobility Modeling

    Ait Ali, K. ; Baala, O. ; Caminada, A.
    Vehicular Technology, IEEE Transactions on

    Volume: 64 , Issue: 2
    DOI: 10.1109/TVT.2014.2323182
    Publication Year: 2015 , Page(s): 652 - 667

    IEEE Journals & Magazines

    Several studies have shown the importance of realistic micromobility and macromobility modeling in vehicular ad hoc networks (VANETs). At the macroscopic level, most researchers focus on a detailed and accurate description of road topology. However, a key factor often overlooked is a spatiotemporal configuration of vehicular traffic. This factor greatly influences network topology and topology variations. Indeed, vehicle distribution has high spatial and temporal diversity that depends on the time of the day and place attraction. This diversity impacts the quality of radio links and, thus, network topology. In this paper, we propose a new mobility model for vehicular networks in urban and suburban environments. To reproduce realistic network topology and topological changes, the model uses real static and dynamic data on the environment. The data concern particularly the topographic and socioeconomic characteristics of infrastructures and the spatiotemporal population distribution. We validate our model by comparing the simulation results with real data derived from individual displacement survey. We also present statistics on network topology, which show the interest of taking into account the spatiotemporal mobility variation. View full abstract»

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    Machine learning and pattern matching in physical design

    Bei Yu ; Pan, D.Z. ; Matsunawa, T. ; Xuan Zeng
    Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific

    DOI: 10.1109/ASPDAC.2015.7059020
    Publication Year: 2015 , Page(s): 286 - 293

    IEEE Conference Publications

    Machine learning (ML) and pattern matching (PM) are powerful computer science techniques which can derive knowledge from big data, and provide prediction and matching. Since nanometer VLSI design and manufacturing have extremely high complexity and gigantic data, there has been a surge recently in applying and adapting machine learning and pattern matching techniques in VLSI physical design (including physical verification), e.g., lithography hotspot detection and data/pattern-driven physical design, as ML and PM can raise the level of abstraction from detailed physics-based simulations and provide reasonably good quality-of-result. In this paper, we will discuss key techniques and recent results of machine learning and pattern matching, with their applications in physical design. View full abstract»

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    Knowledge-Based Multitarget Ship Tracking for HF Surface Wave Radar Systems

    Vivone, G. ; Braca, P. ; Horstmann, J.
    Geoscience and Remote Sensing, IEEE Transactions on

    Volume: 53 , Issue: 7
    DOI: 10.1109/TGRS.2014.2388355
    Publication Year: 2015 , Page(s): 3931 - 3949

    IEEE Journals & Magazines

    These last decades spawned a great interest toward low-power high-frequency (HF) surface-wave (SW) radars for ocean remote sensing. By virtue of their over-the-horizon coverage capability and continuous-time mode of operation, these sensors are also effective long-range early warning tools in maritime situational awareness applications providing an additional source of information for target detection and tracking. Unfortunately, they also exhibit many shortcomings that need to be taken into account, and proper algorithms need to be exploited to overcome their limitations. In this paper, we develop a knowledge-based (KB) multitarget tracking methodology that takes advantage of a priori information on the ship traffic. This a priori information is given by the ship sea lanes and by their related motion models, which together constitute the basic building blocks of a variable structure interactive multiple model procedure. False alarms and missed detections are dealt with using a joint probabilistic data association rule and nonlinearities are handled by means of the unscented Kalman filter. The KB-tracking procedure is validated using real data acquired during an HF-radar experiment in the Ligurian Sea (Mediterranean Sea). Two HFSW radar systems were operated to develop and test target detection and tracking algorithms. The overall performance is defined in terms of time-on-target, false-alarm rate (FAR), track fragmentation (TF), and accuracy. A full statistical characterization is provided using one month of data. A significant improvement of the KB-tracking procedure, in terms of system performance, is demonstrated in comparison with a standard joint probabilistic data association tracker recently proposed in the literature to track HFSW radar data. The main improvement of our approach is the better capability of following targets without increasing the FAR. This increment is much more evident in the region of low FAR, where it can be over the 30% for both the HF- W radar systems. The KB-tracking exhibits on average a reduction of the TF of about the 20% and the 13% of the utilized HFSW-radar systems. View full abstract»

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    Aspects of Differential Geometry I

    Gilkey, P. ; Park, J. ; Vazquez-Lorenzo, R.
    DOI: 10.2200/S00632ED1V01Y201502MAS015
    Copyright Year: 2015

    Morgan and Claypool eBooks

    Differential Geometry is a wide field. We have chosen to concentrate upon certain aspects that are appropriate for an introduction to the subject; we have not attempted an encyclopedic treatment. In Book I, we focus on preliminaries. Chapter 1 provides an introduction to multivariable calculus and treats the Inverse Function Theorem, Implicit Function Theorem, the theory of the Riemann Integral, and the Change of Variable Theorem. Chapter 2 treats smooth manifolds, the tangent and cotangent bundles, and Stokes' Theorem. Chapter 3 is an introduction to Riemannian geometry. The Levi-Civita connection is presented, geodesics introduced, the Jacobi operator is discussed, and the Gauss-Bonnet Theorem is proved. The material is appropriate for an undergraduate course in the subject. We have given some different proofs than those that are classically given and there is some new material in these volumes. For example, the treatment of the Chern-Gauss-Bonnet Theorem for pseudo-Riemannian mani olds with boundary is new. View full abstract»

  • Open Access

    TV Shopping via Multi-Cue Product Detection

    Fleites, F. ; Wang, H. ; Chen, S.
    Emerging Topics in Computing, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TETC.2014.2386140
    Publication Year: 2015 , Page(s): 1

    IEEE Early Access Articles

    Smart TVs allow consumers to watch TV, interact with applications, and access the Internet, thus enhancing the consumer experience. However, consumers are still unable to seamlessly interact with the contents being streamed, as it is highlighted by TV-enabled shopping. For example, if a consumer is watching a TV show and is interested in purchasing a product being displayed, the consumer can only go to a store or access the Web to make the purchase. It would be more convenient if the consumer could interact with the TV to purchase interesting items. To realize this use case, products in the content stream must be detected so that the TV system notifies consumers of possibly interesting ones. A practical solution must address the detection of complex products, i.e., those that do not have a rigid form and can appear in various poses, which poses a significant challenge. To this end, a multi-cue product detection framework is proposed for TV shopping. The framework is generic as it is not tied to specific object detection approaches. Instead, it utilizes appearance, topological, and spatio-temporal cues that make use of a related, easier-to-detect object class to improve the detection results of the target, more-difficult product class. The three cues are jointly considered to select the best path that occurrences of the target product class can follow in the video and thus eliminate false positive occurrences. The empirical results demonstrate the advantages of the proposed approach in improving the precision of the results. View full abstract»

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    Knowledge Security Risk Management in Contemporary Companies -- Toward a Proactive Approach

    Ilvonen, Ilona ; Jussila, Jari ; Karkkainen, Hannu ; Paivarinta, Tero
    System Sciences (HICSS), 2015 48th Hawaii International Conference on

    DOI: 10.1109/HICSS.2015.472
    Publication Year: 2015 , Page(s): 3941 - 3950

    IEEE Conference Publications

    Although emerging organizational knowledge systems, such as social media, are widely researched, related knowledge security risks have received less attention. Traditional information security management models tend to concentrate on the technological viewpoint to secure existing information assets. However, the use of contemporary approaches for knowledge creation and sharing offer new important possibilities for making use of internal and external knowledge. Simultaneously, their implementation involves changes in technologies, as well as a change in work processes and communications. Hence, knowledge security risk management should be developed from the current focus on relatively static containers and information assets toward more proactive management of the potential future risks of knowledge sharing. This paper introduces a proactive process for managing knowledge security risks and reports experiences of its use by professionals with experience in various topics of information and knowledge security. View full abstract»

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    Modeling and Control for Cage Rotor Dual Mechanical Port Electric Machine–Part I: Model Development

    Cai, H. ; Xu, L.
    Energy Conversion, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TEC.2015.2400931
    Publication Year: 2015 , Page(s): 1 - 9

    IEEE Early Access Articles

    A new type of electric machine with two free rotating rotors [dual mechanical port (DMP)] is investigated in this paper. Since this DMP machine has a squirrel-cage outer rotor, it is named as SCDMP machine. First, the electromagnetic characteristic of the SCDMP machine is analyzed. Then, the transient model and steady-state model of the SCDMP machine are derived. The proposed machine models are verified by finite element method and simulation. The results show that the proposed models accurately represent the unique electromagnetic characteristics of the SCDMP machine. View full abstract»

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    RLNC-Aided Cooperative Compressed Sensing for Energy Efficient Vital Signal Telemonitoring

    Lalos, A.S. ; Antonopoulos, A. ; Kartsakli, E. ; Renzo, M. ; Tennina, S. ; Alonso, L. ; Verikoukis, C.
    Wireless Communications, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TWC.2015.2409841
    Publication Year: 2015 , Page(s): 1

    IEEE Early Access Articles

    Wireless Body Area Networks (WBANs) are composed of sensors that either monitor and trans- mit vital signals or act as relays that forward the received data to a Body Node Coordinator (BNC). In this paper, we introduce an energy efficient vital signal telemonitoring scheme, which exploits Com- pressed Sensing (CS) for low-complexity signal com- pression/reconstruction and distributed cooperation for reliable data transmission to the BNC. More specif- ically, we introduce a Cooperative Compressed Sensing (CCS) approach, which increases the energy efficiency of WBANs by exploiting the benefits of Random Linear Network Coding (RLNC). We study the energy effi- ciency of RLNC and compare it with the Store-and- Forward (FW) protocol. Our mathematical analysis shows that the gain introduced by RLNC increases as the link failure rate increases, especially in practical scenarios with a limited number of relays. Furthermore, we propose a reconstruction algorithm that further enhances the benefits of RLNC by exploiting key characteristics of vital signals. With the aid of elec- trocardiographic (ECG) and electroencephalographic (EEG) data available in medical databases, extensive simulation results are illustrated, which validate our theoretical findings and show that the proposed re- covery algorithm increases the energy efficiency of the body sensor nodes by 40% compared to conventional CS-based reconstruction methods. View full abstract»

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    Automated Fault Location and Isolation in Distribution Grids With Distributed Control and Unreliable Communication

    Kashyap, N. ; Chen-Wei Yang ; Sierla, S. ; Flikkema, P.G.
    Industrial Electronics, IEEE Transactions on

    Volume: 62 , Issue: 4
    DOI: 10.1109/TIE.2014.2387093
    Publication Year: 2015 , Page(s): 2612 - 2619

    IEEE Journals & Magazines

    This paper presents the analysis and simulation of the performance of fault location and isolation (FLI) in an automated power distribution feeder. This system is composed of two coupled networks: a power system consisting of a distribution feeder with multiple load buses, and an unreliable communication network of the distributed intelligent agents in the system, namely, the substation automation and fault protection units separating segments of the feeder. We provide a complete specification of a distributed algorithm for FLI and an exact characterization of the time from the occurrence of a fault to its location and isolation. Both apply to a distribution feeder with an arbitrary number of buses. These models are then refined into a hybrid simulation that combines three models executing in parallel: a power system model based on dc power flow, a distributed automation system model for the intelligent agents constructed using the IEC 61499 distributed automation standard, and an abstract communication network model that unreliably links the physically distributed agents. The results demonstrate the effect of communication network reliability at two levels of design abstraction, the correspondence of results at the two levels, and the use of a modern cosimulation framework to verify the performance of distributed smart grid automation algorithms. View full abstract»

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    Directive and high-efficiency slotted waveguide antenna array for V-band made by wire electrical discharge machining

    Hotte, D. ; Siragusa, R. ; Duroc, Y. ; Tedjini, S.
    Electronics Letters

    Volume: 51 , Issue: 5
    DOI: 10.1049/el.2014.4409
    Publication Year: 2015 , Page(s): 380 - 382

    IET Journals & Magazines

    High-efficiency and directive antennas are nowadays required for wireless communications and applications in the 57-66 GHz ISM band. A slotted waveguide antenna array operating at 58.8 GHz and made in aluminium by wire electrical discharge machining and a milling technique is presented. A -10 dB bandwidth of 3.54 GHz is achieved while the antenna exhibits a measured realised gain of 10.7 dBi at a resonance frequency of 58.8 GHz, with a high total efficiency of 95%. By defining the simulation model under CST according to the accuracy of the manufacturing process, simulation and measurement results are in excellent agreement. View full abstract»

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    An Ultralow Power Multirate FSK Demodulator With Digital-Assisted Calibrated Delay-Line Based Phase Shifter for High-Speed Biomedical Zero-IF Receivers

    Horng-Yuan Shih ; Chun-Fan Chen ; Yu-Chuan Chang ; Yu-Wei Hu
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on

    Volume: 23 , Issue: 1
    DOI: 10.1109/TVLSI.2013.2297834
    Publication Year: 2015 , Page(s): 98 - 106

    IEEE Journals & Magazines

    An ultralow power (ULP), multirate frequency shift keying (FSK) demodulator applied for high-speed biomedical zero-IF receivers is presented. A digital-assisted calibrated delay-line (DL) based phase shifter is used for realizing multirate and low jitter demodulation under reported highest data rate. All circuits are operated in subthreshold region for achieving ULP consumption. Moreover, the power consumption of the demodulator is relative to the data rate. Therefore, energy consumption per received bit can be optimized according to the applications. Implemented in 0.18 μm CMOS process, a minimum energy consumption of 11 pJ per received bit and demodulated peak-to-peak jitter of 1.89 ns are achieved under the maximum data rate of 40 Mb/s. View full abstract»

  • Freely Available from IEEE

    Acknowledgements


    Micro Electro Mechanical Systems (MEMS), 2015 28th IEEE International Conference on

    DOI: 10.1109/MEMSYS.2015.7050864
    Publication Year: 2015 , Page(s): 1

    IEEE Conference Publications

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    Diffusion Model of PEV Charging Load and Its Application on ACE Correction

    Liu, P. ; Bai, X. ; Zhang, W. ; Wei, W. ; Liu, R. ; Guo, Z.
    Smart Grid, IEEE Transactions on

    Volume: PP , Issue: 99
    DOI: 10.1109/TSG.2015.2399293
    Publication Year: 2015 , Page(s): 1

    IEEE Early Access Articles

    The charging load of plug-in electric vehicle (PEV) is usually modeled with statistic methods such that the internal physical relationship among the charging factors is ignored. In this paper, a diffusion model for charging power of PEVs is proposed. The proposed model considers the interactions among the charging factors in a mathematical way using the physically-based modeling method. The area control error (ACE) correction problem is studied by applying charging power control of PEVs with the proposed model. By considering the practical conditions, a controller is designed to make efficient use of the distributed charging power of PEVs to meet the requirement of ACE correction. Simulation results demonstrate the effectiveness of the proposed diffusion model and ACE correction method. View full abstract»

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    Low Cost Pre-Coder Design for MIMO AF Two-Way Relay Channel

    Yu Zhang ; Li Ping ; Zhaoyang Zhang
    Signal Processing Letters, IEEE

    Volume: 22 , Issue: 9
    DOI: 10.1109/LSP.2014.2375276
    Publication Year: 2015 , Page(s): 1369 - 1372

    IEEE Journals & Magazines

    In this letter, we revisit the pre-coder design problem for the amplify-and-forward two-way relay channel with multiple antennas equipped at each node. Based on generalized singular value decomposition (GSVD), we propose a novel pre-coding technique named Hermitian Relay Pre-coding (HRP) with a relatively low design complexity. Compared with the existing GSVD pre-coding method, HRP can achieve a higher rate by avoiding zero-forcing operation but keeping the same design complexity. View full abstract»

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    Shape Fitting for the Shape Control System of Silicon Single Crystal Growth

    Liang, J. ; Zhang, M. ; Liu, D. ; Wang, W.
    Industrial Informatics, IEEE Transactions on

    Volume: 11 , Issue: 2
    DOI: 10.1109/TII.2015.2390481
    Publication Year: 2015 , Page(s): 363 - 374

    IEEE Journals & Magazines

    Shape fitting, including straight line and ellipse fitting, plays an important role in the (cylinder-) shape control system of silicon single crystal growth, because the straight lines and ellipse in the crystal image contain the important horizontal circle center and diameter information. This information can be used as control variables so that the grown crystal approximates to a perfect cylinder, and thus can be used as high-quality source materials. In this paper, we develop new straight line and ellipse fitting algorithms. The key points are as follows. We formulate the two-dimensional (2-D) binary image into a single-snapshot array signal of a virtual sensor array, and casts the angle estimation problem of straight lines into the direction finding one of virtual incoming sources. Based on the virtual array manifold and potential incoming angles, the relevant over-complete dictionary is constructed, and thus a sparse regression problem is formed. To solve such a regression problem, we introduce the weight vector sparsity term into the conventional linear least-squares support vector regression framework to estimate the angles of these straight lines. Based on the estimated angles and potential offsets, another over-complete dictionary is constructed, and thus the image can be looked upon as the sparse representation of these dictionary atoms. Since the constructed dictionary is of the same size as the image, we use the compressed sensing theory to reduce the relevant dimensionality and then apply the aforementioned sparse regression method to obtain the relevant offsets of these straight lines. We derive a new second-order polynomial of ellipse equation to obtain the ellipse parameters to avoid the trival solution from the conventional polynomial model. Some simulation and experimental examples are given to illustrate the effectiveness of the proposed algorithms. View full abstract»

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    Self-learning and adaptive board-level functional fault diagnosis

    Fangming Ye ; Chakrabarty, K. ; Zhaobo Zhang ; Xinli Gu
    Design Automation Conference (ASP-DAC), 2015 20th Asia and South Pacific

    DOI: 10.1109/ASPDAC.2015.7059021
    Publication Year: 2015 , Page(s): 294 - 301

    IEEE Conference Publications

    Functional fault diagnosis is necessary for board-level product qualification. However, ambiguous diagnosis results can lead to long debug times and wrong repair actions, which significantly increase repair cost and adversely impact yield. A state-of-the-art functional fault diagnosis system involves several key components: (1) design of functional test programs, (2) collection of functional-failure syndromes, (3) building of the diagnosis engine, (4) isolation of root causes, and (5) evaluation of the diagnosis engine. Advances in each of these components can pave the way for a more effective diagnosis system, thus improving diagnosis accuracy and reducing diagnosis time. Machine-learning and data analysis techniques offer an unprecedented opportunity to develop an automated and adaptive diagnosis system to increase diagnosis accuracy and reduce diagnosis time. This paper describes how all the above components of an advanced diagnosis system can benefit from machine learning and information theory. Topics discussed include incremental learning, decision trees, root-cause analysis and evaluation metrics, data acquisition, and knowledge transfer. View full abstract»

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