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2017 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)

作者： Lin Shi Gao Yueming Zhang Hengfei Lu?ev Vasi? ?eljka Vai Mang-I Du Min Cifrek Mario Pun Sio-Hang College of Physics and Information Engineering Fuzhou University Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province Faculty of Electrical Engineering and Computing University of Zagreb State Key Laboratory of Analog and Mixed Signal VLSI University of Macau Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Key Lab of Eco-industrial Green Technology of Fujian Province

An intra-body communication(IBC) research platform based on virtual instrument was established for the hardware design of IBC transceiver. Firstly, the feasibility of constructing IBC research platform using optic-coupling circuit was verified via comparison of three kinds of measurement methods based on virtual instrument. Then, ASK, FSK and BPSK modulation-demodulation were realized via lab VIEW programming, and user interface of the platform was also designed. The platform could achieve signal transmission or recover under different coupling type, different channel distance and different modulation-demodulation method, etc., by means of dynamic adjusting of platform parameters. Experiment results of capacitive-coupling under the platform indicated the authenticity and feasibility of signal transmission. Finally, a full-floating IBC transceiver was designed aided by the parameters provided by the research platform under the scene of capacitive-coupling, FSK modulation and 180 cm channel distance. Moreover, Bit Error Rate(BER) of the transceiver was less than 1 e-5, which meant that it is effective and convenient for the design of IBC transceiver aided by virtual instrument platform.

关键词： Intra-body Communication(IBC) virtual instrument transceiver modulation-demodulation

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RESeED: A secure regular-expression search tool for storage clouds

RESeED: A secure regular-expression search tool for storage ...

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作者： Salehi, Mohsen Amini Caldwell, Thomas Fernandez, Alejandro Mickiewicz, Emmanuel Rozier, Eric W. D. Zonouz, Saman Redberg, David HPCC lab. School of Computing and Informatics University of Louisiana at Lafayette LA70503 United States Microsoft Corp. BellevueWA98004 United States Citrix Systems Inc. Fort LauderdaleFL33309 United States SIGFOX Inc. Toulouse France Department of Computer Science Iowa State University AmesIA50011 United States Electrical and Computer Engineering Department Rutgers University New BrunswickNJ08854 United States Fortinet Inc. New York CityNY10119 United States

Lack of trust has become one of the main concerns of users who tend to utilize one or multiple Cloud providers. Trustworthy Cloud-based computing and data storage require secure and efficient solutions which allow clients to remotely store and process their data in the Cloud. User-side encryption is an established method to secure the user data on the Cloud. However, using encryption, we lose processing capabilities, such as searching, over the Cloud data. In this paper, we present RESeED, a tool that provides user-transparent and Cloud-agnostic regular-expression search functionality over encrypted data across multiple Clouds. Upon a client's intent to upload a new document to the Cloud, RESeED analyzes the document's content and updates its data structures accordingly. Then, it encrypts and transfers the document to the Cloud. RESeED provides the regular-expression search functionality over encrypted data by translating the search queries on-the-fly to finite automata and analyzing concise and secure representations of the data before asking the Cloud to download the encrypted documents. RESeED's parallel architecture enables efficient search over large-scale (and potentially big data scale) data-sets. We evaluate the performance of RESeED experimentally and demonstrate its scalability and correctness using real-world data-sets from *** and Internet engineering Task Force (IETF). Our results show that RESeED produces accurate query responses with a reasonable (6%) storage overhead. The results also demonstrate that for many search queries, RESeED performs faster in compare with the grep utility that functions on unencrypted data. Copyright © 2017 John Wiley & Sons, Ltd. Copyright © 2017 John Wiley & Sons, Ltd.

关键词： Cloud storage

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Learned Binary Spectral Shape Descriptor for 3D Shape Correspondence

Learned Binary Spectral Shape Descriptor for 3D Shape Corres...

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IEEE Conference on computer Vision and Pattern Recognition

作者： Jin Xie Meng Wang Yi Fang NYU Multimedia and Visual Computing Lab UAE Department of Electrical and Computer Engineering New York University Abu Dhabi Department of Electrical and Computer Engineering NYU Tandon School of Engineering

ISBN: (纸本)9781467388528

Dense 3D shape correspondence is an important problem in computer vision and computer graphics. Recently, the local shape descriptor based 3D shape correspondence approaches have been widely studied, where the local shape descriptor is a real-valued vector to characterize the geometrical structure of the shape. Different from these real-valued local shape descriptors, in this paper, we propose to learn a novel binary spectral shape descriptor with the deep neural network for 3D shape correspondence. The binary spectral shape descriptor can require less storage space and enable fast matching. First, based on the eigenvectors of the Laplace-Beltrami operator, we construct a neural network to form a nonlinear spectral representation to characterize the shape. Then, for the defined positive and negative points on the shapes, we train the constructed neural network by minimizing the errors between the outputs and their corresponding binary descriptors, minimizing the variations of the outputs of the positive points and maximizing the variations of the outputs of the negative points, simultaneously. Finally, we binarize the output of the neural network to form the binary spectral shape descriptor for shape correspondence. The proposed binary spectral shape descriptor is evaluated on the SCAPE and TOSCA 3D shape datasets for shape correspondence. The experimental results demonstrate the effectiveness of the proposed binary shape descriptor for the shape correspondence task.

关键词： Descriptors 3D shape Spectral shape images computer vision Neural network Correspondence Binary Output Structural shapes tige

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Robust Multi-Exposure Image Fusion: A Structural Patch Decomposition Approach

Robust Multi-Exposure Image Fusion: A Structural Patch Decom...

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作者： Ma, Kede Li, Hui Yong, Hongwei Wang, Zhou Meng, Deyu Zhang, Lei Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong Department of Computing. Hong Kong Polytechnic University Hong Kong Hong Kong Institute for Information and System Sciences and Ministry of Education Key Laboratory of Intelligent Networks and Network Security Xi'an Jiaotong University Xi'an710049 China Inst. for Info. and Syst. Sci. and Min. of Educ. Key Lab. of Intelligent Networks and Netwk. Secty. Xi'an Jiaotong University Xi'an710049 China

We propose a simple yet effective structural patch decomposition approach for multi-exposure image fusion (MEF) that is robust to ghosting effect. We decompose an image patch into three conceptually independent components: signal strength, signal structure, and mean intensity. Upon fusing these three components separately, we reconstruct a desired patch and place it back into the fused image. This novel patch decomposition approach benefits MEF in many aspects. First, as opposed to most pixel-wise MEF methods, the proposed algorithm does not require post-processing steps to improve visual quality or to reduce spatial artifacts. Second, it handles RGB color channels jointly, and thus produces fused images with more vivid color appearance. Third and most importantly, the direction of the signal structure component in the patch vector space provides ideal information for ghost removal. It allows us to reliably and efficiently reject inconsistent object motions with respect to a chosen reference image without performing computationally expensive motion estimation. We compare the proposed algorithm with 12 MEF methods on 21 static scenes and 12 deghosting schemes on 19 dynamic scenes (with camera and object motion). Extensive experimental results demonstrate that the proposed algorithm not only outperforms previous MEF algorithms on static scenes but also consistently produces high quality fused images with little ghosting artifacts for dynamic scenes. Moreover, it maintains a lower computational cost compared with the state-of-The-Art deghosting schemes.11The MATlab code of the proposed algorithm will be made available online. Preliminary results of Section III-A [1] were presented at the IEEE International Conference on Image Processing, Canada, 2015. © 1992-2012 IEEE.

关键词： Image fusion

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New results on disturbance rejection for energy-shaping controlled port-Hamiltonian systems

arXiv

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arXiv 2017年

作者： Ferguson, Joel Donaire, Alejandro Ortega, Romeo Middleton, Richard H. School of Electrical Engineering and Computing and PRC CDSC University of Newcastle CallaghanNSW2308 Australia Department of Electrical Engineering and Information Theory and PRISMA Lab University of Naples Federico II Napoli80125 Italy School of Electrical Engineering and Computer Science Queensland University of Technology BrisbaneQLD4000 Australia Laboratoire des Signaux et Systèmes CNRS-SUPELEC Gif-sur-Yvette91192 France

In this paper we present a method to robustify energy-shaping controllers for port-Hamiltonian (pH) systems by adding an integral action that rejects unknown additive disturbances. The proposed controller preserves the pH structure and, by adding to the new energy function a suitable cross term between the plant and the controller coordinates, it avoids the unnatural coordinate transformation used in the past. This paper extends our previous work by relaxing the requirement that the systems Hamiltonian is strictly convex and separable, which allows the controller to be applied to a large class of mechanical systems, including underactuated systems with nonconstant mass matrix. Furthermore, it is shown that the proposed integral action control is robust against unknown damping in the case of fully-Actuated systems. Copyright © 2017, The Authors. All rights reserved.

关键词： Controllers

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An intra-body communication research platform based on virtual instrument

An intra-body communication research platform based on virtu...

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International Conference on Electronic Measurement and Instruments, ICEMI

作者： Lin Shi Gao Yueming Zhang Hengfei Lucev Vasic Zeljka Vai Mang-I Du Min Cifrek Mario Pun Sio-Hang College of Physics and Information Engineering Fuzhou University Fuzhou China Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province Fuzhou China Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatia Department of Electrical and Computer Engineering University of Macau Macau China Key Lab of Eco-industrial Green Technology of Fujian Province Nanping China State Key Laboratory of Analog and Mixed Signal VLSI University of Macau Macau China

An intra-body communication (IBC) research platform based on virtual instrument was established for the hardware design of IBC transceiver. Firstly, the feasibility of constructing IBC research platform using optic-coupling circuit was verified via comparison of three kinds of measurement methods based on virtual instrument. Then, ASK, FSK and BPSK modulation-demodulation were realized via labVIEW programming, and user interface of the platform was also designed. The platform could achieve signal transmission or recover under different coupling type, different channel distance and different modulation-demodulation method, etc., by means of dynamic adjusting of platform parameters. Experiment results of capacitive-coupling under the platform indicated the authenticity and feasibility of signal transmission. Finally, a full-floating IBC transceiver was designed aided by the parameters provided by the research platform under the scene of capacitive-coupling, FSK modulation and 180 cm channel distance. Moreover, Bit Error Rate (BER) of the transceiver was less than 1e-5, which meant that it is effective and convenient for the design of IBC transceiver aided by virtual instrument platform.

关键词： Instruments Transceivers Couplings Frequency shift keying Receivers Baseband

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RedLib: Nestable Reductions for Collections in Java

RedLib: Nestable Reductions for Collections in Java

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IEEE International Conference on High Performance computing and Communications

作者： Mostafa Mehrabi Xing Fan Nasser Giacaman Oliver Sinnen Department of Electrical and Computer Engineering The University of Auckland Parallel and Reconfigurable Computing Lab

ISBN: (纸本)9781509042982

A reduction is a parallel programming mechanism for combining two or more elements into one. Many parallel programming languages, tools and frameworks (e.g., OpenMP, MPI, etc.) directly support simple forms of reductions (e.g., building a total sum out of partial sums). Some of those tools and frameworks allow more complex reductions to be implemented as custom reductions. However, the success of network-based application frameworks like Hadoop have shown that there is a strong need for reductions of aggregate data structures, such as the union of sets or maps. Usually parallel programming frameworks on shared-memory systems do not support these types of complex reductions directly, and a user needs to implement them manually. To address the gap thereof, this paper proposes an object-oriented reduction framework that supports reductions of aggregate types, and proposes the nesting of reduction objects for flexible extensions of reduction operations. Based on the proposed framework, a reduction library (RedLib) has been developed for Java with direct support for many common reduction operations on collections and maps. Furthermore, the paper studies the usage of the framework for common and complex cases and evaluates its performance, based on operations found in standard benchmarks.

关键词： object oriented reductions shared memory reductions nestable reductions aggregate reductions collections maps :

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Corrigendum to “Biological Evaluation of the Effect of Galvanic Coupling Intrabody Communication on Human Skin Fibroblast Cells”

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Wireless Communications and Mobile computing 2018年第1期2018卷

作者： Shi Lin Yue-Ming Gao Juan Cai Željka Lučev Vasić Mang-I Vai Min Du Mario Cifrek Sio-Hang Pun College of Physics and Information Engineering Fuzhou University Fuzhou *** Key Lab of Medical Instrumentation & Pharmaceutical Technology of Fujian Province Fuzhou China Faculty of Electrical Engineering and Computing University of Zagreb Zagreb Croatiaunizg.hr State Key Laboratory of Analog and Mixed-Signal VLSI University of Macau Macau Chinaumac.mo Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macau Chinaumac.mo Key Lab of Eco-Industrial Green Technology of Fujian Province Nanping China

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Gabor Convolutional Networks

arXiv

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arXiv 2017年

作者： Luan, Shangzhen Chen, Chen Zhang, Baochang Han, Jungong Liu, Jianzhuang School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Department of Electrical and Computer Engineering The University of North Carolina at Charlotte CharlotteNC28223 United States Shenzhen Academy of Aerospace Technology Shenzhen518057 China School of Computing and Communications Lancaster University LancasterLA1 4YW United Kingdom Noah’s Ark Lab Huawei Technologies Co. Ltd. Shenzhen518129 China

In steerable filters, a filter of arbitrary orientation can be generated by a linear combination of a set of "basis filters." Steerable properties dominate the design of the traditional filters, e.g., Gabor filters and endow features the capability of handling spatial transformations. However, such properties have not yet been well explored in the deep convolutional neural networks (DCNNs). In this paper, we develop a new deep model, namely, Gabor convolutional networks (GCNs or Gabor CNNs), with Gabor filters incorporated into DCNNs such that the robustness of learned features against the orientation and scale changes can be reinforced. By manipulating the basic element of DCNNs, i.e., the convolution operator, based on Gabor filters, GCNs can be easily implemented and are readily compatible with any popular deep learning architecture. We carry out extensive experiments to demonstrate the promising performance of our GCNs framework, and the results show its superiority in recognizing objects, especially when the scale and rotation changes take place frequently. Moreover, the proposed GCNs have much fewer network parameters to be learned and can effectively reduce the training complexity of the network, leading to a more compact deep learning model while still maintaining a high feature representation capacity. The source code can be found at https://***/bczhangbczhang. Copyright © 2017, The Authors. All rights reserved.

关键词： Gabor filters

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Hyperspectral Image Classification with Markov Random Fields and a Convolutional Neural Network

arXiv

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arXiv 2017年

作者： Cao, Xiangyong Zhou, Feng Xu, Lin Meng, Deyu Xu, Zongben Paisley, John IEEE IEEE School of Mathematics and Statistics Xi’an Jiaotong University Xi’an710049 China National Laboratory of Radar Signal Processing Xidian University Xi’an China NYU Multimedia and Visual Computing Lab New York University Abu Dhabi United Arab Emirates Department of Electrical Engineering & Data Science Institute Columbia University New YorkNY United States Columbia University China Scholarship Council

This paper presents a new supervised classification algorithm for remotely sensed hyperspectral image (HSI) which integrates spectral and spatial information in a unified Bayesian framework. First, we formulate the HSI classification problem from a Bayesian perspective. Then, we adopt a convolutional neural network (CNN) to learn the posterior class distributions using a patch-wise training strategy to better use the spatial information. Next, spatial information is further considered by placing a spatial smoothness prior on the labels. Finally, we iteratively update the CNN parameters using stochastic gradient decent (SGD) and update the class labels of all pixel vectors using α-expansion min-cut-based algorithm. Compared with other state-of-the-art methods, the proposed classification method achieves better performance on one synthetic dataset and two benchmark HSI datasets in a number of experimental settings. Copyright © 2017, The Authors. All rights reserved.

关键词： Spectroscopy

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