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International Conference on Environment and electrical engineering (EEEIC)

作者： Miroslav Prýmek Aleš Horák Lukáš Prokop Stanislav Mišák Masarykova univerzita Brno JihomoravskÃ½ CZ Faculty of Informatics Masaryk University Botanicka 68a Brno Czech Republic Faculty of Electrical Power Engineering and Computer Science VSB - Technical University of Ostrava Ostrava - Poruba Czech Republic

The energy independence, security and reliability of operating energy distribution systems, along with the use of renewable energy sources (RES), are the most important topics of energy-related research and developmen... 详细信息

关键词： Home appliances Optimization Control systems Wind speed Power demand Renewable energy sources

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Improved three-phase high-quality rectifier with line-commutated switches

Improved three-phase high-quality rectifier with line-commut...

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Annual IEEE Conference on Power Electronics Specialists (PESC)

作者： J.A.G. Marafao J.A. Pomilio G. Spiazzi Sch. of Electr. & Comput. Eng. Univ. of Campinas Brazil School of Electrical and Computer Engineering University of Campinas Campinas BRAZIL Dept. of Electronics and Informatics University of Padova (Italy) Padova ITALY

The paper presents a three-phase diode rectifier with an add-on simple cell with line-frequency commutated AC switches that is able to greatly improve both power factor and output voltage regulation of rectifiers with passive L-C filters. The boost action introduced by the commutation cell allows for a complete compensation of the voltage drop across the input inductors, so that output voltage regulation can be maintained from no-load to full-load. Moreover, as compared to other line-frequency commutated rectifiers, the proposed circuit allows compliance with the low-frequency harmonic limits defined in the technical report IEC 1000-3-4 for any power range. High-efficiency and minimum EMI are obtained due to the low-frequency commutations. A converter prototype was built and tested. The results confirm the theoretical analysis.

关键词： Rectifiers Voltage control Power harmonic filters Diodes Switches Reactive power Passive filters Inductors Circuits Power system harmonics

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Lapped Tight Frame Transforms

Lapped Tight Frame Transforms

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Amina Chebira Jelena Kovacevic Department of Biomedical Engineering and Center for Bioimage Informatics Carnegie Mellon University Pittsburgh PA USA Dept. of Biomedical Eng. and Center for Bioimage Informatics Dept. of Electrical and Computer Eng. Carnegie Mellon University Pittsburgh PA. Email: jelenak@cmu.edu

We propose a new class of equal-norm tight frames termed lapped tight frame transforms (LTFTs). These can be seen as a redundant counterpart to bases known as lapped orthogonal transforms (LOTs) introduced by Malvar and Cassereau, as well as an infinite-dimensional counterpart to harmonic tight frames (HTFs). To construct LTFTs, we seed them from LOTs and show that, in a specific case, the process preserves the equal norm. As both their basis counterpart LOTs as well as their finite-dimensional one HTFs, LTFTs possess many desirable properties, such as equal norm and efficient implementation.

关键词： Filter bank Power harmonic filters Signal processing Signal representations Robustness Biomedical informatics Biomedical computing Wavelet transforms Discrete cosine transforms Channel bank filters

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Chaotic American zebra search optimization algorithm for benchmark challenges

Chaotic American zebra search optimization algorithm for ben...

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International Conference on Electronics, computers and Artificial Intelligence (ECAI)

作者： Vikram Kumar Kamboj Ardhala Bala Krishna Chaman Verma Maria Simona Raboaca Constantin Filote Maria Stepanova Schulich School of Engineering University of Calgary Alberta Canada Dept. of Electrcical and Electronics Engineering Malla Reddy Engineering College for Women Hyderabad India Dept. of Media and Edu. Informatics Faculty of Informatics Eötvös Loránd University Budapest Hungary ICSI Energy Department National Research and Development Institute for Cryogenics and Isotopic Technologies Ramnicu Valcea Romania Faculty of Electrical Engineering and Computer Science Stefan cel Mare University of Suceava Suceava Romania Engineering Business and Management Faculty Bauman Moscow State Technical University Russia

In this research, we presented a modification to the recently developed swarm premised American zebra search optimization algorithm (AZOA) using chaos. The particular Singer mapping was proposed by the so-called chaotic AZOA and was already known to perform better in optimization. Twelve uni, multi modal benchmark functions, three-bar truss and ten bar truss optimal structural designs were tested. The chaotic AZOA with Singer map would perform more effectively, more consistently, and quicker than the classical AZOA and other recent metaheuristics in optimization, according to the results, which also supported the viability of the modifications. It was discussed if the chaotic AZAO could be optimized with the original AZOA, and the chaotic AZOA was suggested for use in applications for actual engineering challenges.

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Frame Recovery Method for Screen to Camera Communication Using CMOS Sensor Camera

Frame Recovery Method for Screen to Camera Communication Usi...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： Yuho Tanaka Kazunori Uruma Ryohei Sasaki Norisato Suga Tomohiro Takahashi Department of Electrical and Electronic Engineering Tokyo Denki University Tokyo Japan Faculty of Informatics Kogakuin University Tokyo Japan Faculty of Computer and Information Science Hosei University Tokyo Faculty of Engineering Tokyo University of Science Tokyo Japan School of Information Science and Technology and TRIC Tokai University Kanagawa Japan

ISBN: (数字)9781728180588

ISBN: (纸本)9781728180595

This paper proposes a new frame recovery method for screen to camera communication (SCC). SCC is a signal transmission system using a display as transmitter and a camera as receiver. In case of using a CMOS sensor camera, a captured video is distorted by rolling shutter effect which causes bit errors. Against the rolling shutter distortion, we propose a model of distorted video frame and a frame recovery method. In order to recover the frame, we insert known symbols to a transmitted frame. The frame is recovered by solving an optimization problem using the inserted known symbols. To evaluate the proposed method performance, we conduct an experiment using commercial devices. The result shows that the proposed method can accurately recover the transmitted frame and improve bit error rate compared to a simply binarization method and an adaptive binarization method.

关键词： Cameras Bit error rate Estimation Optimization Radio frequency Information science Current measurement

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Channel pruning via automatic structure search

arXiv

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arXiv 2020年

作者： Lin, Mingbao Ji, Rongrong Zhang, Yuxin Zhang, Baochang Wu, Yongjian Tian, Yonghong Media Analytics and Computing Laboratory Department of Artificial Intelligence School of Informatics Xiamen University China School of Automation Science and Electrical Engineering Beihang University China Co. Ltd China School of Electronics Engineering and Computer Science Peking University Beijing China Peng Cheng Laboratory Shenzhen China

Channel pruning is among the predominant approaches to compress deep neural networks. To this end, most existing pruning methods focus on selecting channels (filters) by importance/ optimization or regularization based on ruleof- thumb designs, which defects in sub-optimal pruning. In this paper, we propose a new channel pruning method based on artificial bee colony algorithm (ABC), dubbed as ABCPruner, which aims to efficiently find optimal pruned structure, i.e., channel number in each layer, rather than selecting "important" channels as previous works did. To solve the intractably huge combinations of pruned structure for deep networks, we first propose to shrink the combinations where the preserved channels are limited to a specific space, thus the combinations of pruned structure can be significantly reduced. And then, we formulate the search of optimal pruned structure as an optimization problem and integrate the ABC algorithm to solve it in an automatic manner to lessen human interference. ABCPruner has been demonstrated to be more effective, which also enables the fine-tuning to be conducted efficiently in an end-to-end manner. Experiments on CIFAR-10 show that ABCPruner reduces 73.68% of FLOPs and 88.68% of parameters with even 0.06% accuracy improvement for VGGNet-16. On ILSVRC-2012, it achieves a reduction of 62.87% FLOPs and removes 60.01% of parameters with negligible accuracy cost for ResNet-152. The source codes can be available at https://***/lmbxmu/ABCPruner. Copyright © 2020, The Authors. All rights reserved.

关键词： Deep neural networks

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Extraction of Gene Regulatory Relation Using BioBERT

Extraction of Gene Regulatory Relation Using BioBERT

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Clement Essien Fei He Mark Hannink Mihail Popescu Dong Xu Department of Electrical Engineering and Computer Science University of Missouri Columbia MO USA School of Information Science and Technology Northeast Normal University Changchun China Department of Biochemistry Bond Life Sciences Center University of Missouri Columbia MO USA Department of Health Management and Informatics University of Missouri Columbia MO USA Department of Electrical Engineering and Computer Science Bond Life Sciences Center University of Missouri Columbia MO USA

ISBN: (数字)9781665468190

ISBN: (纸本)9781665468206

Relation Extraction (RE) is a critical task typically carried out after Named Entity recognition for identifying gene-gene association from scientific publication. Current state-of the-art tools have limited capacity as most of them only extract entity relations from abstract texts. The retrieved gene-gene relations typically do not cover gene regulatory relations. There still exists a lot of room for improvement. In this work, we propose GeREx, a transformer based RE tool for identifying gene regulatory relations from full texts by incorporating labeling from pathway figures. GeREx achieved an F1-Score of 83.45% when evaluated on an independent test dataset.

关键词： Biological system modeling Transformers Labeling Task analysis Bioinformatics

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An application of manifold learning in global shape descriptors

arXiv

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arXiv 2019年

作者： Bashiri, Fereshteh S. Rostami, Reihaneh Peissig, Peggy D'Souza, Roshan M. Yu, Zeyun Department of Electrical Engineering University of Wisconsin MilwaukeeWI United States Department of Computer Science University of Wisconsin MilwaukeeWI United States Department of Mechanical Engineering University of Wisconsin MilwaukeeWI United States Center for Computational and Biomedical Informatics Marshfield Clinic Research Institute WI United States

With the rapid expansion of applied 3D computational vision, shape descriptors have become increasingly important for a wide variety of applications and objects from molecules to planets. Appropriate shape descriptors are critical for accurate (and efficient) shape retrieval and 3D model classification. Several spectral-based shape descriptors have been introduced by solving various physical equations over a 3D surface model. In this paper, for the first time, we incorporate a specific group of techniques in statistics and machine learning, known as manifold learning, to develop a global shape descriptor in the computer graphics domain. The proposed descriptor utilizes the Laplacian Eigenmap technique in which the Laplacian eigenvalue problem is discretized using an exponential weighting scheme. As a result, our descriptor eliminates the limitations tied to the existing spectral descriptors, namely dependency on triangular mesh representation and high intra-class quality of 3D models. We also present a straightforward normalization method to obtain a scale-invariant descriptor. The extensive experiments performed in this study show that the present contribution provides a highly discriminative and robust shape descriptor under the presence of a high level of noise, random scale variations, and low sampling rate, in addition to the known isometric-invariance property of the Laplace-Beltrami operator. The proposed method significantly outperforms state-of-the-art algorithms on several non-rigid shape retrieval benchmarks. Copyright © 2019, The Authors. All rights reserved.

关键词： Laplace transforms

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SCP-ECG in an ISO/IEEE 11073-PHD world: Store-and-Forward transmission and messaging part

SCP-ECG in an ISO/IEEE 11073-PHD world: Store-and-Forward tr...

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IEEE EMBS International Conference on Information Technology Applications in Biomedicine (ITAB)

作者： Jesús D. Trigo Franco Chiarugi Álvaro Alesanco Miguel Martínez-Espronceda Luis Serrano Catherine E. Chronaki Javier Escayola Ignacio Martínez José García Communications Technologies Group GTC Aragón Institute for Engineering Research I3A University of Zaragoza Zaragoza Spain Biomedical Informatics Laboratory Institute of Computer Science ICS Foundation for Research and Technology Hellas FORTH Crete Greece Electrical and Electronic Engineering Department Public University of Navarra Spain

The storage and retrieval of digital ECGs in a standard-compliant way has been a key issue during the last decades. The SCP-ECG standard, one of the top efforts in this area, has been recently approved as part of the ISO/IEEE 11073 (x73) family of standards, a reference standard for medical device interoperability. For the Personal Health Device (PHD) version of the x73 standard several devices have been defined, but an ECG device specialization is not yet available. In this paper, the relationships between the SCP-ECG fields and messages and the particular way of the x73-PHD standard to deal with stored data are investigated and discussed. A proof-of-concept implementation of the x73-PHD storage and retrieval method applied to ECGs is also presented, identifying open issues and potential modifications to be considered for the wider interoperability adoption of x73-PHD standards.

关键词： ISO standards Electrocardiography Information retrieval DICOM Medical services Protocols ANSI standards Biomedical engineering XML Information technology

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TiV-ODE: A Neural ODE-based Approach for Controllable Video Generation From Text-Image Pairs

TiV-ODE: A Neural ODE-based Approach for Controllable Video ...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Yucheng Xu Nanbo Li Arushi Goel Zonghai Yao Zijian Guo Hamidreza Kasaei Mohammadreza Kasaei Zhibin Li School of Informatics University of Edinburgh UK College of Information and Computing Sciences University of Massachusetts-Amherst US Department of Electrical and Computer Engineering Boston University US Department of Artificial Intelligence Bernoulli Institute University of Groningen The Netherlands Department of Computer Science University College London UK

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Videos capture the evolution of continuous dynamical systems over time in the form of discrete image sequences. Recently, video generation models have been widely used in robotic research. However, generating controllable videos from image-text pairs is an important yet underexplored research topic in both robotic and computer vision communities. This paper introduces an innovative and elegant framework named TiV-ODE, formulating this task as modeling the dynamical system in a continuous space. Specifically, our framework leverages the ability of Neural Ordinary Differential Equations (Neural ODEs) to model the complex dynamical system depicted by videos as a nonlinear ordinary differential equation. The resulting framework offers control over the generated videos’ dynamics, content, and frame rate, a feature not provided by previous methods. Experiments demonstrate the ability of the proposed method to generate highly controllable and visually consistent videos and its capability of modeling dynamical systems. Overall, this work is a significant step towards developing advanced controllable video generation models that can handle complex and dynamic scenes.

关键词： computer vision Computational modeling Ordinary differential equations Aerospace electronics Mathematical models Nonlinear dynamical systems Image sequences

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