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		<title><![CDATA[ Emerging and Selected Topics in Circuits and Systems, IEEE Journal on - new TOC ]]></title>
		<link>http://ieeexplore.ieee.org</link>
		<description>TOC Alert for Publication# 5503868 </description>
		<year>2013</year>
		<month>May      </month>
		<day>21</day>
		<item>
			<title><![CDATA[Table of Contents]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475971]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475971]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>C1</startPage>
			<endPage>C4</endPage>
			<fileSize>160</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[IEEE Journal on Emerging and Selected Topics in Circuits and Systems publication information]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475973]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475973]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>C2</startPage>
			<endPage>C2</endPage>
			<fileSize>132</fileSize>
			<authors><![CDATA[]]></authors>
		</item>
		<item>
			<title><![CDATA[Editorial Low-Power, Intelligent, and Secure Solutions for Realization of Internet of Things]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472113]]></link>
			<description><![CDATA[This special issue aims to provide a timely discussion on the technical trends and challenges of circuits and systems on Internet of Things (IoT). Rapid advancement of networking technologies together with extreme miniaturization of computing and communication devices enable emerging and exciting applications and services that connect the cyber and physical worlds. In the future, digital sensing, communication, and processing capabilities will be ubiquitously embedded into everyday objects, turning them into the IoT. In this new paradigm, smart devices will collect data, relay the information or context to each other, and process the information collaboratively in a machine-to-machine (M2M) manner.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472113]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>1</startPage>
			<endPage>4</endPage>
			<fileSize>910</fileSize>
			<authors><![CDATA[Chen, Y.-K.;Wu, A.-Y.;Bayoumi, M.A.;Koushanfar, F.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Ultra Low Power Wake-Up Radio Using Envelope Detector and Transmission Line Voltage Transformer]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471253]]></link>
			<description><![CDATA[An ultra-low power wake-up radio receiver using no oscillators is described. The radio utilizes an envelope detector followed by a baseband amplifier and is fabricated in a 130-nm complementary metal-oxide-semiconductor process. The receiver is preceded by a passive radio-frequency voltage transformer, also providing 50 &#x03A9; antenna matching, fabricated as transmission lines on the FR4 chip carrier. A sensitivity of -47 dBm with 200 kb/s on-off keying modulation is measured at a current consumption of 2.3 &#x03BC; A from a 1 V supply. No trimming is used. The receiver accepts a -13 dBm continuous wave blocking signal, or modulated blockers 6 dB below the sensitivity limit, with no loss of sensitivity.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471253]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>5</startPage>
			<endPage>12</endPage>
			<fileSize>917</fileSize>
			<authors><![CDATA[Nilsson, E.;Svensson, C.;]]></authors>
		</item>
		<item>
			<title><![CDATA[An Energy-Efficient Sleep Scheduling With QoS Consideration in 3GPP LTE-Advanced Networks for Internet of Things]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472116]]></link>
			<description><![CDATA[With the design of data communications in mind, 3GPP LTE-advanced (LTE-A) is probably the most promising technology for Internet of Things (IoT). For IoT applications, continuous low-rate streaming data may be reported from devices over a long period of time, imposing stringent requirements on power saving. To manage power consumption, 3GPP LTE-A has defined the discontinuous reception/transmission (DRX/DTX) mechanism to allow devices to turn off their radio interfaces and go to sleep in various patterns. Existing literature has paid much attention to evaluate the performance of DRX/DTX; however, how to tune DRX/DTX parameters to optimize energy cost is still left open. This paper addresses the DRX/DTX optimization, by asking how to maximize the sleep periods of devices while guarantee their quality-of-service (QoS), especially on the aspects of traffic bit-rate, packet delay, and packet loss rate in IoT applications. Efficient schemes to optimize DRX/DTX parameters and schedule devices' packets with the base station are proposed. The key idea of our schemes is to balance the impacts between QoS parameters and DRX/DTX configurations. Simulation results show that our schemes can guarantee traffic bit-rate, packet delay, and packet loss rate while save energy of user equipments .]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472116]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>13</startPage>
			<endPage>22</endPage>
			<fileSize>1880</fileSize>
			<authors><![CDATA[Jia-Ming Liang;Jen-Jee Chen;Hung-Hsin Cheng;Yu-Chee Tseng;]]></authors>
		</item>
		<item>
			<title><![CDATA[Synchronous-Logic and Asynchronous-Logic 8051 Microcontroller Cores for Realizing the Internet of Things: A Comparative Study on Dynamic Voltage Scaling and Variation Effects]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471249]]></link>
			<description><![CDATA[Microcontrollers play a vital role in embodying intelligence into battery-powered everyday objects to realize the internet of things (IoT). The desirable attributes of such a microcontroller and the like include high energy and area efficiency, and robust error-free operation under dynamic voltage scaling (DVS), workload, process, voltage, and temperature (PVT) variation effects. In this work, a synchronous-logic (<i>S</i> 8051) and a quasi-delay-insensitive asynchronous-logic (<i>A</i> 8051) 8051 microcontroller core are designed and fabricated for full-range DVS from nominal <i>VDD</i> to deep sub-threshold. The performance of the <i>S</i> 8051 and <i>A</i> 8051 are largely comparable at nominal conditions and the entire DVS range, but differs when PVT and workload are varied. At nominal <i>VDD</i>, both the microcontroller cores feature comparable energy and speed, with the electromagnetic interference of the <i>A</i> 8051 ~ 12 dB lower and the area ~ 2 &#x00D7; larger than the <i>S</i> 8051. When DVS is applied, both the microcontroller cores feature comparable energy and speed; the <i>S</i> 8051 requires simultaneous adjustment of clock frequency with <i>VDD</i>. At wide PVT variations, up to ~ 12 &#x00D7; delay margins are required for the <i>S</i> 8051, whereas the <i>A</i> 8051 operates at actual speed. When the workload of both microcontrollers is varied, the <i>A</i> 8051 features lower energy dissipation per workload due to the exploitation of its asynchronous-logic protocols. For IoT applications that incur wide PVT and workload variations, <i>A</i> 8051 is more suitable due to its self-timed nature, whereas when PVT and workload variations are less severe, <i>S</i> 8051 is more suitable due to a smaller IC area.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471249]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>23</startPage>
			<endPage>34</endPage>
			<fileSize>3720</fileSize>
			<authors><![CDATA[Kok-Leong Chang;Chang, J.S.;Bah-Hwee Gwee;Kwen-Siong Chong;]]></authors>
		</item>
		<item>
			<title><![CDATA[Voltage Sensing Using an Asynchronous Charge-to-Digital Converter for Energy-Autonomous Environments]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472117]]></link>
			<description><![CDATA[In future systems with relatively unreliable and unpredictable energy sources such as harvesters, the system power supply may become non-deterministic. For energy effective operations, <i>Vdd</i> is an important parameter in any meaningful system control mechanism. Reliable and accurate on-chip voltage sensors are therefore indispensible for the power and computation management of such systems. Existing voltage sensing methods are not suitable because they usually require a stable and known reference (voltage, current, time, frequency, etc.), which is difficult to obtain in this environment. This paper describes an autonomous reference-free voltage sensor designed using an asynchronous counter powered by the charge on a capacitor and a small controller. Unlike existing methods, the voltage information is directly generated as a digital code. The sensor, fabricated in the 180 nm technology node, was tested successfully through performing measurements over the voltage range from 1.8 V down to 0.8 V.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472117]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>35</startPage>
			<endPage>44</endPage>
			<fileSize>1795</fileSize>
			<authors><![CDATA[Ramezani, R.;Yakovlev, A.;Fei Xia;Murphy, J.P.;Delong Shang;]]></authors>
		</item>
		<item>
			<title><![CDATA[Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472115]]></link>
			<description><![CDATA[The Internet of Things (IoT) provides a virtual view, via the Internet Protocol, to a huge variety of real life objects, ranging from a car, to a teacup, to a building, to trees in a forest. Its appeal is the ubiquitous generalized access to the status and location of any &#x201C;thing&#x201D; we may be interested in. Wireless sensor networks (WSN) are well suited for long-term environmental data acquisition for IoT representation. This paper presents the functional design and implementation of a complete WSN platform that can be used for a range of long-term environmental monitoring IoT applications. The application requirements for low cost, high number of sensors, fast deployment, long lifetime, low maintenance, and high quality of service are considered in the specification and design of the platform and of all its components. Low-effort platform reuse is also considered starting from the specifications and at all design levels for a wide array of related monitoring applications.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472115]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>45</startPage>
			<endPage>54</endPage>
			<fileSize>1434</fileSize>
			<authors><![CDATA[Lazarescu, M.T.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Power Consumption Analysis for Distributed Video Sensors in Machine-to-Machine Networks]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471251]]></link>
			<description><![CDATA[Among different sensors used in machine-to-machine (M2M) networks, video sensors can provide the richest information. However, much higher bandwidth and power consumption limit the feasibility of wide deployment. To integrate visual data acquisition ability into M2M networks, the design of low-power distributed video sensors is the key. This paper presents the power analysis of distributed video sensors. The power profile of a distributed video sensor node is first shown from measurement results, followed by detailed discussion of video coding engine selection, where the state-of-the-art H.264/AVC coding engine is compared with distributed video coding engine. Moreover, the role of video content analysis is addressed. This paper can provide a fundamental basis for future distributed video sensor design.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471251]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>55</startPage>
			<endPage>64</endPage>
			<fileSize>2069</fileSize>
			<authors><![CDATA[Shao-Yi Chien;Teng-Yuan Cheng;Shun-Hsing Ou;Chieh-Chuan Chiu;Chia-han Lee;Somayazulu, V.S.;Yen-Kuang Chen;]]></authors>
		</item>
		<item>
			<title><![CDATA[Cascading Signal-Model Complexity for Energy-Aware Detection]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471252]]></link>
			<description><![CDATA[Equipping everyday objects with sensing and computational capabilities creates the potential to achieve context and situational awareness through the detection of natural events. A major challenge in energy-constrained devices is that the detection of natural events generally demands sophisticated signal modeling and processing, along with continuous sensing. In this paper, we propose to use a cascade architecture to control signal-model complexity; this approach allows the device to sense continuously and trigger a more accurate signal model only when an event of interest is likely to be occurring. The sensitivity of the triggering affects detection performance and device energy consumption, so we formulate and solve the problem of optimal threshold allocation to control this sensitivity. We prove that for controlling signal-model complexity, triggering as often as possible maximizes detection performance; this seemingly intuitive result does not hold in other popular cascading techniques, most notably in low-power wakeup mechanisms. Our analysis leads to a simple threshold-tracking algorithm that can adjust to time-varying environmental conditions and energy supply. Combining a low-power MCU with controllable supply-voltage scaling, we present an acoustic wildlife monitoring system that exhibits 12&#x00D7; energy scalability from cascading detectors, and an additional 2&#x00D7; from synergistic hardware scaling on commercially available components. In practical scenarios, we demonstrate energy savings ranging from 3&#x00D7; to 20&#x00D7; with minimal loss in performance, compared to the conventional approach.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471252]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>65</startPage>
			<endPage>74</endPage>
			<fileSize>1443</fileSize>
			<authors><![CDATA[Jun, D.;Jones, D.L.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Design of a Low-Power On-Body ECG Classifier for Remote Cardiovascular Monitoring Systems]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471250]]></link>
			<description><![CDATA[In this paper, we first present a detailed study on the trade-off between the computational complexity (directly related to the power consumption) and classification accuracy for a number of classifiers for classifying normal and abnormal electrocardiograms (ECGs). In our analysis, we consider the spectral energy of the constituent waves of the ECG as the discriminative feature. Starting with the exhaustive exploration of single heartbeat-based classification to ascertain the complexity-accuracy trade-off in different classification algorithms, we then extend our study for multiple heartbeat-based classification. We use data available in Physionet as well as samples from Southampton General Hospital Cardiology Department for our investigation. Our primary conclusion is that a classifier based on linear discriminant analysis (LDA) achieves comparable level of accuracy to the best performing support vector machine classifiers with advantage of significantly reduced computational complexity. Subsequently, we propose an ultra low-power circuit implementation of the LDA classifier that could be integrated with the ECG sensor node enabling on-body normal and abnormal ECG classification. The simulated circuit is synthesized at 130 nm technology and occupies 0.70 mm<sup>2</sup> of silicon area (0.979 mm<sup>2</sup> after place and route) while it consumes 182.94 nW @ 1.08 V, estimated with Synopsys PrimeTime when operating at 1 KHz. These results clearly demonstrate the potential for low-power implementation of the proposed design.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6471250]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>75</startPage>
			<endPage>85</endPage>
			<fileSize>1716</fileSize>
			<authors><![CDATA[Taihai Chen;Mazomenos, E.B.;Maharatna, K.;Dasmahapatra, S.;Niranjan, M.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Fault-Tolerant and Low-Power Sampling Schedules for Localized BASNs]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6470709]]></link>
			<description><![CDATA[Recent advances in the scope of wearable devices and networks make body area sensor networks (BASNs) an extremely attractive tool to the fields of mobile and tele-health, owing to the range of medical applications they can serve and the diagnostic richness of patient data they can offer. However, for BASNs to achieve true ubiquity, they must be scalable in their support of automated patient data collection, making usability and reliability key considerations. Its designers must wrestle with the tradeoff between usability, hindered by device intrusiveness into the behaviors it measures, and lifetime, enhanced by large power supplies and expensive, sturdy components. Furthermore, the validity and reliability of the collected data are paramount. In this paper, we consider these issues in the context of localized multi-sensory wearable networks and present a method to generate low-power sampling schedules that are resilient to sensor faults while achieving high diagnostic fidelity. We jointly formulate this as a power-constrained sampling problem wherein the number of sensors sampled per epoch are limited, and, a fault tolerant scheduling problem wherein the sampling scheme offers enough redundancy to endure up to a predefined number of sensor faults while maintaining diagnostic accuracy. This formulation is based on, 1) the localized scope of BASNs that engenders strong spatio-temporal interactions in the samples, and, 2) the periodic nature of human behaviors measured. We present our algorithm in the context of gait diagnostics derived from a foot plantar pressure measurement platform and illustrate its performance based on real datasets collected by it.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6470709]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>86</startPage>
			<endPage>95</endPage>
			<fileSize>1381</fileSize>
			<authors><![CDATA[Goudar, V.;Potkonjak, M.;]]></authors>
		</item>
		<item>
			<title><![CDATA[Challenges and Opportunities for Securing Intelligent Transportation System]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6470710]]></link>
			<description><![CDATA[There has been considerable work addressing security in vehicular network systems for intelligent transportation system (ITS) usages. We examine the proposed security framework and solutions in this space. Our analysis leads to several key observations. The current security work misses many practical ITS usage and security requirements, since it fails to consider practical economic models and critical ITS functional requirements as a control system. Consequently, the standardized ITS communication message authenticity solutions have little utility relative to addressing the real threats. Furthermore, we analyzed the missing requirements for public key infrastructure support for secure vehicular communication. Based on our analysis, we call for future research directions in analyzing practical problems and designing solutions to secure vehicular communication in order to achieve its full potential.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6470710]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>96</startPage>
			<endPage>105</endPage>
			<fileSize>558</fileSize>
			<authors><![CDATA[Meiyuan Zhao;Walker, J.;Chieh-Chih Wang;]]></authors>
		</item>
		<item>
			<title><![CDATA[Securing M2M With Post-Quantum Public-Key Cryptography]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472114]]></link>
			<description><![CDATA[In this paper, we present an ASIC implementation of two post-quantum public-key cryptosystems (PKCs): NTRUEncrypt and TTS. It represents a first step toward securing machine-to-machine (M2M) systems using strong, hardware-assisted PKC. In contrast to the conventional wisdom that PKC is too &#x201C;expensive&#x201D; for M2M sensors, it actually can lower the total cost of ownership because of cost savings in provision, deployment, operation, maintenance, and general management. Furthermore, PKC can be more energy-efficient because PKC-based security protocols usually involve less communication than their symmetric-key-based counterparts, and communication is getting relatively more and more expensive compared with computation. More importantly, recent algorithmic advances have brought several new PKCs, NTRUEncrypt and TTS included, that are orders of magnitude more efficient than traditional PKCs such as RSA. It is therefore our primary goal in this paper to demonstrate the feasibility of using hardware-based PKC to provide general data security in M2M applications.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6472114]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>106</startPage>
			<endPage>116</endPage>
			<fileSize>1764</fileSize>
			<authors><![CDATA[Jie-Ren Shih;Yongbo Hu;Ming-Chun Hsiao;Ming-Shing Chen;Wen-Chung Shen;Bo-Yin Yang;An-Yeu Wu;Chen-Mou Cheng;]]></authors>
		</item>
		<item>
			<title><![CDATA[Erratum to "Low-invasive implantable devices of low-power consumption using high-efficiency antennas for cloud health care" [Mar 12 14-23]]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475968]]></link>
			<description><![CDATA[Presents a revised biography for Chin-Lung Yang.]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475968]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>117</startPage>
			<endPage>117</endPage>
			<fileSize>104</fileSize>
			<authors><![CDATA[Yang, C.-L.;Tsai, C.-L.;Cheng, K.-T.;Chen, S.-H.;]]></authors>
		</item>
		<item>
			<title><![CDATA[IEEE Journal on Emerging and Selected Topics in Circuits and Systems information for authors]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475977]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475977]]></guid>
			<volume>3</volume>
			<issue>1</issue>
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			<endPage>118</endPage>
			<fileSize>112</fileSize>
			<authors><![CDATA[]]></authors>
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			<title><![CDATA[2013 IEEE membership form]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475981]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475981]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>119</startPage>
			<endPage>120</endPage>
			<fileSize>1485</fileSize>
			<authors><![CDATA[]]></authors>
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			<title><![CDATA[IEEE Circuits and Systems Society Information]]></title>
			<link><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475972]]></link>
			<description><![CDATA[ ]]></description>
			<pubDate><![CDATA[March  2013]]></pubDate>
			<guid><![CDATA[http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6475972]]></guid>
			<volume>3</volume>
			<issue>1</issue>
			<startPage>C3</startPage>
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