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2nd International Conference on Video, Vision and Graphics, VVG 2005

作者： Wu, Yunsong Megson, Graham Nie, Zhengang Liu, Xuan School of Systems Engineering Reading University Reading United Kingdom Department of Computer Science Loughborough University United Kingdom Beihang University China

ISBN: (纸本)9783905673579

This paper presents a novel Linear Hashtable Method Predicted Hexagonal Search (LHMPHS) method for block base motion compensation on the basis of research from previous algorithm. Hashtable is used in video compression. Motion vectors produced by Linear Hashtable Motion Estimation Algorithm (LHMEA) are used as predictors for HEXBS. Moments invariants are also tested in hashtable to prove the more information moments have, the better it is. Experimental results show that the proposed algorithm can offer the same compression rate as the Full Search and fastest than all investigated algorithms, while the PSNR is high. LHMPHS has significant improvement on HEXBS and shows a direction for improving other fast motion estimation algorithms. © The Eurographics Association 2005.

关键词： Motion compensation

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Vigilance analysis based on continuous wavelet transform of EEG signals

Vigilance analysis based on continuous wavelet transform of ...

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2010 International Conference on Biomedical engineering and computer science, ICBECS 2010

作者： Ouyang, Tian Lu, Hong-Tao MOE-MS Key Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9781424453153

Electroencephalography (EEG) is considered a reliable indicator of a person's vigilance level. In this paper, we use EEG recordings to discriminate three vigilance states of a person, namely alert, drowsy, and sleep, while driving a car in a simulation environment. The proposed framework explores the use of continuous wavelet transform in EEG signal processing. A large set of features is extracted from the wavelet coefficients, which are computed from EEG signals with multiple wavelet functions. We use random forest to rank the plenty of features and select the most important ones for later classification. Samples of EEG data are then trained and classified by SVM (Support Vector Machine). On datasets acquired from 5 subjects, our method reveals high classification accuracy (over 96%). ©2010 IEEE.

关键词： Electroencephalography

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CMOS sensor arrays for bio molecule diagnostics

CMOS sensor arrays for bio molecule diagnostics

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作者： Thewes, Roland TU Berlin Faculty of Electrical Engineering and Computer Science Department of Sensor and Actuator Systems D-10587 Berlin Germany

ISBN: (纸本)9788392875635

CMOS-based sensor array chips for bio molecule detection provide high parallelism and further attractive features as compared to today's standard tools. They open the way to smart systems in medical and diagnostic applications. In this paper, a topical review is given concerning the basic operating principles of such arrays, transducer principles, related technical requirements and specifications, circuit design and system issues. © 2010 by department of Microelectronics & computer science, Technical University of Lodz.

关键词： Biomolecules

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Privacy-preserving collaborative filtering using randomized perturbation techniques

Privacy-preserving collaborative filtering using randomized ...

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作者： Polat, Huseyin Du, Wenliang Systems Assurance Institute Department of Electrical Engineering and Computer Science Syracuse University Syracuse NY 13244 United States

ISBN: (纸本)0769519784

Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. To conduct collaborative filtering, data from customers are needed. However, collecting high quality data from customers is not an easy task because many customers are so concerned about their privacy that they might decide to give false information. We propose a randomized perturbation (RP) technique to protect users' privacy while still producing accurate recommendations. © 2003 IEEE.

关键词： Perturbation techniques

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Generating quadratic assignment test problems with known optimal permutations

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Computational Optimization and Applications 1992年第2期1卷 163-184页

作者： Li, Yong Pardalos, Panos M. Department of Computer Science The Pennysylvania State University University Park 16802 PA United States Department of Industrial and Systems Engineering University of Florida Gainesville 32611 FL United States

The quadratic assignment problem (QAP) is a well-known combinatorial optimization problem of which the travelling-salesman problem is a special case. Although the QAP has been extensively studied during the past three decades, this problem remains very hard to solve. Problems of sizes greater than 15 are generally impractical to solve. For this reason, many heuristics have been developed. However, in the literature, there is a lack of test problems with known optimal solutions for evaluating heuristic algorithms. Only recently Paulubetskis proposed a method to generate test problems with known optimal solutions for a special type of QAP. This paper concerns the generation of test problems for the QAP with known optimal permutations. We generalize the result of Palubetskis and provide test-problem generators for more general types of QAPs. The test-problem generators proposed are easy to implement and were also tested on several well-known heuristic algorithms for the QAP. Computatinal results indicate that the test problems generated can be used to test the effectiveness of heuristic algorithms for the QAP. Comparison with Palubetskis' procedure was made, showing the superiority of the new test-problem generators. Three illustrative test problems of different types are also provided in an appendix, together with the optimal permutations and the optimal objective function values. © 1992 Kluwer Academic Publishers.

关键词： combinatorial optimization heuristics quadratic assignment test problems

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Opportunities, Progress and Challenges in Active Heatsink Antenna Arrays for 5G and Beyond 52

Opportunities, Progress and Challenges in Active Heatsink An...

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52nd European Microwave Conference, EuMC 2022

作者： Aslan, Yanki Delft University of Technology Microwave Sensing Signals and Systems Group Faculty of Electrical Engineering Mathematics and Computer Science Department of Microelectronics Delft Netherlands

ISBN: (数字)9782874870699

ISBN: (纸本)9782874870699

The conventional air and liquid cooling based thermal management strategies in mm-wave active phased arrays are illustrated with several examples from the literature. The key role of antenna engineers in electronics thermal management is discussed. The intriguing concept of using the antennas as auxiliary heat dissipators is recapitulated with a focus on the past and recent developments. The multiphysics (electromagnetic and thermal) modeling and design approaches of such dual function antennas are outlined. Some of the future multidisciplinary research challenges in heatsink antennas are identified. © 2022 European Microwave Association (EuMA).

关键词： Millimeter waves

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Bacillus cereus AR156 primes induced systemic resistance by suppressing miR825/825 and activating defense-related genes in Arabidopsis

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Journal of Integrative Plant Biology 2016年第4期58卷 426-439页

作者： Dongdong Niu Jing Xia Chunhao Jiang Beibei Qi Xiaoyu Ling Siyuan Lin Weixiong Zhang Jianhua Guo Hailing Jin Hongwei Zhao Department of Plant Pathology College of Plant Protection Nanjing Agriculture University Department of Plant Pathology and Microbiology Center for Plant Cell Biology and Institute for Integrative Genome Biology University of California Department of Computer Science and Engineering Washington University in St Louis The Institute for Systems Biology Jianghan University

Small RNAs play an important role in plant immune responses. However, their regulatory function in induced systemic resistance（ISR） is nascent. Bacillus cereus AR156 is a plant growth-promoting rhizobacterium that induces ISR in Arabidopsis against bacterial infection. Here,by comparing small RNA profiles of Pseudomonas syringae pv. tomato（Pst） DC3000-infected Arabidopsis with and without AR156 pretreatment, we identified a group of Arabidopsis micro RNAs（mi RNAs） that are differentially regulated by AR156 pretreatment. mi R825 and mi R825 are two mi RNA generated from a single mi RNA *** blot analysis indicated that they were significantly downregulated in Pst DC3000-infected plants pretreated with AR156, in contrast to the plants without AR156 pretreatment. mi R825 targets two ubiquitin-protein ligases,while mi R825 targets toll-interleukin-like receptor（TIR）-nucleotide binding site（NBS） and leucine-rich repeat（LRR）type resistance（R） genes. The expression of these target genes negatively correlated with the expression of mi R825 and mi R825. Moreover, transgenic plants showing reduced expression of mi R825 and mi R825 displayed enhanced resistance to Pst DC3000 infection, whereas transgenic plants overexpressing mi R825 and mi R825 were more susceptible. Taken together, our data indicates that Bacillus cereus AR156 pretreatment primes ISR to Pst infection by suppressing mi R825 and mi R825 and activating the defense related genes they targeted.

关键词： Induced systemic resistance ISR micro RNA plant innate immunity small RNA

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Coupled group lasso for web-scale CTR prediction in display advertising 31

Coupled group lasso for web-scale CTR prediction in display ...

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31st International Conference on Machine Learning, ICML 2014

作者： Yan, Ling Li, Wu-Jun Xue, Gui-Rong Han, Dingyi Department of Computer Science and Engineering Shanghai Key Laboratory of Scalable Computing and Systems Shanghai Jiao Tong University China Department of Computer Science and Technology National Key Laboratory for Novel Software Technology Nanjing University China Alibaba Group China

ISBN: (纸本)9781634393973

In display advertising, click through rate (CTR) prediction is the problem of estimating the probability that an advertisement (ad) is clicked when displayed to a user in a specific context. Due to its easy implementation and promising performance, logistic regression (LR) model has been widely used for CTR prediction, especially in industrial systems. However, it is not easy for LR to capture the nonlinear information, such as the conjunction information, from user features and ad features. In this paper, we propose a novel model, called coupled group lasso (CGL), for CTR prediction in display advertising. CGL can seamlessly integrate the conjunction information from user features and ad features for modeling. Furthermore, CGL can automatically eliminate useless features for both users and ads, which may facilitate fast online prediction. Scalability of CGL is ensured through feature hashing and distributed implementation. Experimental results on real-world data sets show that our CGL model can achieve state-of-the-art performance on web- scale CTR prediction tasks. Copyright © (2014) by the International Machine Learning Society (IMLS) All rights reserved.

关键词： Forecasting

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Local linear spectral hashing

Local linear spectral hashing

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20th International Conference on Neural Information Processing, ICONIP 2013

作者： Zhao, Kang Liu, Dengxiang Lu, Hongtao MOE-Microsoft Laboratory for Intelligent Computing and Intelligent Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China

ISBN: (纸本)9783642420504

Hashing for large scale image retrieval has become more and more popular because of its improvement in computational speed and storage reduction. Spectral Hashing (SH) is a very efficient unsupervised hashing method through mapping similar images to similar binary codes. However, it doesn't take the non-neighbor points into consideration, and its assumption of uniform data distribution is usually not true. In this paper, we propose a local linear spectral hashing framework that minimizes the average Hamming distance with a new local neighbor matrix, which can guarantee the mapping not only from neighbor images to neighbor codes, but also from non-neighbor images to non-neighbor codes. Based on the framework, we utilize three linear methods to handle the proposed problem, including orthogonal hashing, non-orthogonal hashing, and sequential hashing. The experiments on two huge datasets demonstrate the efficiency and accuracy of our methods. © Springer-Verlag 2013.

关键词： Hamming distance

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A Trend Analysis of Test Smells in Python Test Code Over Commit History 49

A Trend Analysis of Test Smells in Python Test Code Over Com...

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49th Euromicro Conference on Software engineering and Advanced Applications, SEAA 2023

作者： Fushihara, Yuki Aman, Hirohisa Amasaki, Sousuke Yokogawa, Tomoyuki Kawahara, Minoru Ehime University Faculty of Engineering Department of Computer Science Ehime790-8577 Japan Ehime University Center for Information Technology Ehime790-8577 Japan Okayama Prefectural University Faculty of Computer Science and Systems Engineering Okayama719-1197 Japan

ISBN: (纸本)9798350342352

Software testing is an essential activity for developing and maintaining high-quality software. Unit testing with test code (test cases) is a fundamental testing activity, and developers can test their production code whenever they create or modify the code. However, such quality assurance relies on the correctness of the test code. If a test code had a flaw, it would mislead the developers about the hidden faults and prevent early detection of the faults. This paper focuses on "test smells,"which may cause test code flaws in Python programs, and analyzes their changing trends over commit history (code changes) toward better Python test code management. Through an empirical data analysis of 100 open-source projects, the paper reports the following findings: (1) a few kinds of test smells constitute the majority of smells detected in the studied projects, and (2) most kinds of smells tend to increase over commits, i.e., many test smells are likely to have remained in test code as technical debt. © 2023 IEEE.

关键词： Python

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