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arXiv 2020年

作者： Tang, Yutian Zhou, Hao Xu, Zhou Luo, Xiapu Cai, Yan Zhang, Tao Department of Computing Hong Kong Polytechnic University Hong Kong School of Big Data and Software Engineering Chongqing University China State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences China Faculty of Information Technology Macau University of Science and Technology China

software reuse enables developers to reuse architecture, programs and other software artifacts. Realizing a systematical reuse in software brings a large amount of benefits for stakeholders, including lower maintenance efforts, lower development costs, and time to market. Unfortunately, currently implementing a framework for large-scale software reuse in Android apps is still a huge problem, regarding the complexity of the task and lacking of practical technical support from either tools or domain experts. Therefore, proposing a feature location benchmark for apps will help developers either optimize their feature location techniques or reuse the assets created in the benchmark for reusing. In this paper, we release a feature location benchmark, which can be used for those developers, who intend to compose software product lines (SPL) and release reuse in apps. The benchmark not only contributes to the research community for reuse research, but also helps participants in industry for optimizing their architecture and enhancing modularity. In addition, we also develop an Android Studio plugin named caIDE for developers to view and operate on the benchmark. Copyright © 2020, The Authors. All rights reserved.

关键词： computer software reusability

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A Progressive background updating based coding scheme for surveillance videos 34

A Progressive background updating based coding scheme for su...

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34th IEEE International Conference on Visual Communications and Image Processing, VCIP 2019

作者： Li, Meng Shi, Yunhui Ding, Wenpeng Liu, Xiaojie Liu, Jiaying Yin, Baocai Beijing University of Technology Beijing Key Laboratory of Multimedia and Intelligent Software Technology Faculty of Information Technology Beijing100124 China Baidu Inc China Henan Institute of Technology School of Computer Science and Technology Xinxiang China Peking University China Dalian University of Technology Faculty of Electronic Information and Electrical Engineering Dalian China

ISBN: (纸本)9781728137230

Background based coding is an effective scheme to improve the coding efficiency of surveillance videos. However, it takes a long time to generate a high quality background picture (BG-picture). And the encoding of the high quality BG-picture will increase the bitrate abruptly. To solve these problems, a progressive background updating based coding scheme is proposed in this paper. In the proposed scheme, the BG-picture is updated block by block. To improve the overall coding efficiency, an importance map is designed to select the valid background blocks (B-blocks) progressively which will be encoded with high quality. It is worth noting that only the valid B-blocks is encoded instead of the entire BG-picture. Compared with the reference software of Versatile Video Coding (VVC), the proposed scheme achieves about 23.3 percent bit-rate saving on average. © 2019 IEEE.

关键词： Video signal processing

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Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density

arXiv

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arXiv 2022年

作者： Korcsak-Gorzo, Agnes Linssen, Charl Albers, Jasper Dasbach, Stefan Duarte, Renato Kunkel, Susanne Morrison, Abigail Senk, Johanna Stapmanns, Jonas Tetzlaff, Tom Diesmann, Markus van Albada, Sacha J. Jülich Research Centre Jülich Germany Department of Physics Faculty 1 RWTH Aachen University Aachen Germany Jülich Research Centre Jülich Germany Jülich Research Centre Jülich Germany Donders Institute for Brain Cognition and Behaviour Radboud University Nijmegen Netherlands Jülich Research Centre Jülich Germany Faculty of Science and Technology Norwegian University of Life Sciences Ås Norway Department of Computer Science 3 - Software Engineering RWTH Aachen University Aachen Germany Department of Psychiatry Psychotherapy and Psychosomatics Medical School RWTH Aachen University Aachen Germany Institute of Zoology University of Cologne Cologne Germany

This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for empirical data in mathematical models, implement such models in software, and perform simulations reflecting experiments. This path is demonstrated with respect to four key aspects of synaptic signaling: the connectivity of brain networks, synaptic transmission, synaptic plasticity, and the heterogeneity across synapses. Each step and aspect of the modeling and simulation workflow comes with its own challenges and pitfalls, which are highlighted and addressed. Copyright © 2022, The Authors. All rights reserved.

关键词： Neural networks

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Thoughts Raised by 3 Alpha

Thoughts Raised by 3 Alpha

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International Conference on Intelligent System and Knowledge engineering, ISKE

作者： Jianyang Zhao Ningning Zhou Hui Zong Jizhen Cheng Long Hong Faculty of Computer and Software Engineering Huaiyin Institute of Technology Huaian China School of Computer Nanjing University of Posts and Telecommunications Nanjing China School of Telecommunication and Information Engineering Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728123486

ISBN: (纸本)9781728123493

The game is directly related to the study of decision-making support, and is one of the main contents of artificial intelligence (AI). The changes in playing Go are the most complex, so Go is considered the most challenging game in AI. AlphaGo was the first computer Go to beat the human Go champion, and we call the subsequent AlphaGo Zero, Alpha Zero and it 3a. Their emergence is a great step in AI and an important milestone in the history of AI, which has also raised some questions that are worth thinking. In this paper, after describing the main characteristics of 3a, we briefly comment on 3a, such as its adscription of the success, whether they have intelligence, their research level and so on. Some cross-domain problems caused by 3a are considered, such as the symbolization of inductive logic, the new issues of distributed system, the intension of AI, how to implement intelligence, artificial brain, and so on. In addition, we also briefly introduce the conceptual structure of deep learning, the use method of tensor processing unit (TPU) in 3a and the main instructions of TPU.

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Preface

EAI/Springer Innovations in Communication and Computing

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EAI/Springer Innovations in Communication and Computing 2022年 v-vii页

作者： Sur, Samarendra Nath Balas, Valentina Emilia Bhoi, Akash Kumar Nayyar, Anand Department of Electronics and Communication Engineering Sikkim Manipal Institute of Technology Sikkim Manipal University Sikkim Majitar India Department of Computer Science and Engineering Sikkim Manipal Institute of Technology Sikkim Manipal University Sikkim Majitar India Department of Automatics and Applied Software Faculty of Engineering Aurel Vlaicu University of Arad Arad Romania Faculty of Information Technology Duy Tan University Da Nang Viet Nam

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Research on temperature cascade control of distillation column based on Smith-Fuzzy-PID

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Paper Asia 2018年第COMPENDIUM 2期 91-94页

作者： Wang, Yeqin Chen, Yunhao Liu, Qihui Zhang, Yue Faculty of Automation Huaiyin Institute of Technology Huaian China Faculty of Computer and Software Engineering Huaiyin Institute of Technology Huaian China

The efficiency and quality of oil recovery depend largely on the temperature control in distillation column, a Smith-Fuzzy-PID cascade control system for the distillation column proposed to overcome the drawback of single loop control in terms of rapidity and stability. Fuzzy-PID controller is designed in vice loop to achieve the coarse control by controlling the material flow. The Smith predictor was introduced into the feedback loop of the main loop to solve the time-delay in the traditional PID control. The simulated results show that the proposed control system has good characteristic in terms of dynamic and steady-state performance and robustness. © 2018 SHPMedia Sdn Bhd. All rights reserved.

关键词： Distillation columns

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Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation

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Knowledge-Based Systems 2025年 324卷

作者： Qiangguo Jin Hui Cui Junbo Wang Changming Sun Yimiao He Ping Xuan Linlin Wang Cong Cong Leyi Wei Ran Su School of Software Northwestern Polytechnical University Shaanxi China Yangtze River Delta Research Institute of Northwestern Polytechnical University Taicang China Department of Computer Science and Information Technology La Trobe University Melbourne Australia CSIRO Data61 Sydney Australia Department of Computer Science School of Engineering Shantou University Guangdong China Shandong Cancer Hospital and Institute Shandong First Medical University and Shandong Academy of Medical Sciences Shandong China Australian Institute of Health Innovation (AIHI) Macquarie University Australia School of Software Shandong University Shandong China Centre for Artificial Intelligence driven Drug Discovery Faculty of Applied Science Macao Polytechnic University Macao Special Administrative Region of China School of Computer Software College of Intelligence and Computing Tianjin University Tianjin China

Semi-supervised learning (SSL) has attracted considerable attention in medical image processing. The latest SSL methods use a combination of consistency regularization and pseudo-labeling to achieve remarkable success. However, most existing SSL studies focus on segmenting large organs, neglecting the challenging scenarios where there are numerous tumors or tumors of small volume. Furthermore, the extensive capabilities of data augmentation strategies, particularly in the context of both labeled and unlabeled data, have yet to be thoroughly investigated. To tackle these challenges, we introduce a straightforward yet effective approach, termed iterative pseudo-labeling based adaptive copy-paste supervision (IPA-CP), for tumor segmentation in CT scans. IPA-CP incorporates a two-way uncertainty based adaptive augmentation mechanism, aiming to inject tumor uncertainties present in the mean teacher architecture into adaptive augmentation. Additionally, IPA-CP employs an iterative pseudo-label transition strategy to generate more robust and informative pseudo labels for the unlabeled samples. Extensive experiments on both in-house and public datasets show that our framework outperforms state-of-the-art SSL methods in medical image segmentation. Ablation study results demonstrate the effectiveness of our technical contributions.

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Monocular Vision Based UAV Target Detection and Ranging System Implemented on OpenCV and Tensor Flow

Monocular Vision Based UAV Target Detection and Ranging Syst...

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International Symposium on Distributed Computing and Applications to Business, engineering and Science (DCABES)

作者： Zhirui Jiang Yuanbo Liu Bin Wu Quanyin Zhu School of Intelligent Engineering Zhengzhou University of Aeronautics Zhengzhou China Deep Blue Honors School Jiangsu University of Science and Technology Zhenjiang China Faculty of Computer and Software Engineering Huaiyin Institute of Technology Huai'an China

In recent years, UAV(Unmanned Aerial Vehicle) becomes more and more popular and it is put into operation in various fields, such as agricultural irrigation, geological exploration and so on. In this paper, an unmanned aerial vehicle target detection and ranging system based on OpenCV and Tensor Flow is discussed, which can detect and avoid obstacles in time, improving the service life and intelligence level of the unmanned aerial vehicle. Firstly, gray-scale need to be put on the image captured by the camera. After Gaussian denoising, Sobel operator is applied for edge detection. Then, target recognition is carried out by using OpenCV and Tensor Flow, following by which is distance measurement, on the basis of OpenCV and video stream. Finally, the measurement results can be obtained.

关键词： Distributed computing Business

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Capacity approaching coding for low noise interactive quantum communication part I: Large alphabets

arXiv

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arXiv 2020年

作者： Leung, Debbie Nayak, Ashwin Shayeghi, Ala Touchette, Dave Yao, Penghui Yu, Nengkun Department of Combinatorics and Optimization Institute for Quantum Computing University of Waterloo and Perimeter Institute Department of Combinatorics and Optimization Institute for Quantum Computing University of Waterloo Department of Computer Science Institut Quantique Université de Sherbrooke Institute for Quantum Computing University of Waterloo Perimeter Institute State Key Laboratory for Novel Software Technology Nanjing University Centre for Quantum Software and Information Faculty of Engineering and Information Technology University of Technology Sydney

We consider the problem of implementing two-party interactive quantum communication over noisy channels, a necessary endeavor if we wish to fully reap quantum advantages for communication. For an arbitrary protocol with n messages, designed for a noiseless qudit channel over a poly (n) size alphabet, our main result is a simulation method that fails with probability less than 2-θ(n∈) and uses a qudit channel over the same alphabet n(1 + θ(√∈)) times, of which an ∈ fraction can be corrupted adversarially. The simulation is thus capacity achieving to leading order, and we conjecture that it is optimal up to a constant factor in the √ ∈ term. Furthermore, the simulation is in a model that does not require pre-shared resources such as randomness or entanglement between the communicating parties. Our work improves over the best previously known quantum result where the overhead is a non-explicit large constant [Brassard et al., FOCS'14] for low ∈. Copyright © 2020, The Authors. All rights reserved.

关键词： Quantum communication

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Research on the Data Acquisition Method Improvement for Mobile Communication Network Based on Cloud Computing

Research on the Data Acquisition Method Improvement for Mobi...

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2018 International Conference on Modeling, Simulation and Optimization(MSO 2018)

作者： Liu-yang WANG Yang-xin YU Lei ZHOU Faculty of Computer & Software Engineering Huaiyin Institute of Technology

Aiming at the problem of low efficiency and poor accuracy of data acquisition when using the traditional acquisition method in mobile communication network in the case of external interference. This paper proposes a data acquisition method for mobile communication network based on cloud computing, the data eigenvector is extracted and effectively identify from the timefrequency distribution collected by the mobile communication network equipment. The ADASYN algorithm is used to remove redundancy information based on cloud computing to accurately capture the data of mobile communication network. The experimental results show that the proposed method can effectively achieve the acquisition of mobile communication network data with high accuracy and efficiency.

关键词： Cloud computing Mobile communication network Data acquisition

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