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10th International Conference on Orange technology, ICOT 2022

作者： Wei, Chun-Cheng Hsieh, Hui-Ming Hung, Long-Chen Chen, Ru-Yi Huang, Jiang-Fang Lu, Xin-Chun Zhong, Yu-Shan School of Software and Big Data Changzhou College of Information Technology Changzhou China Taiwan Shoufu University Department of Computer Science and Multimedia Design Tainan Taiwan Lunghwa University of Science and Technology Department of Electronic Engineering Taiwan

ISBN: (纸本)9781665454193

AIDS is a sexually transmitted disease. The medical term is called Acquired Immune Deficiency Syndrome. Medical methods such as cocktail therapy and anticancer drugs can kill AIDS. Although there are currently cured cases, prevention is still required to prevent the infection from expanding;prevention Ways, like the AIDS vaccine or preventive safe sex, can reduce the risk of infection. We hope that through the production of animated short films for viewing, we can help reduce the HIV infection rate. This short film is presented as a story similar to a micro-film by ourselves. And using the modern scene and the character design of the Q version as the material, the story content is made into 2D animation with Adobe Flash CS5. © 2022 IEEE.

关键词： Animation

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Adaptive Multiobjective Evolutionary Neural Architecture Search for GANs based on Two-Factor Cooperative Mutation Mechanism 1

Adaptive Multiobjective Evolutionary Neural Architecture Sea...

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1st Workshop on Advanced Multimedia Computing for Smart Manufacturing and Engineering, AMC-SME 2023

作者： Cao, Bin Zhou, Zirun Liu, Xin Hossain, M. Shamim Lv, Zhihan School of Artificial Intelligence Hebei University of Technology Tianjin China School of Economics and Management Hebei University of Technology Tianjin China Department of Software Engineering College of Computer and Information Sciences King Saud University Riyadh Saudi Arabia Uppsala University Uppsala Sweden

ISBN: (纸本)9798400702730

The automated design of generative adversarial networks (GAN) is currently being solved well by neural architecture search (NAS), although there are still some issues. One problem is the vast majority of NAS for GANs methods are only based on a single evaluation metric or a linear superposition of multiple evaluation metrics. Another problem is that the conventional evolutionary neural architecture search (ENAS) is unable to adjust its mutation probabilities in accordance with the NAS process, making it simple to settle into a local optimum. To address these issues, we firstly design a two-factor cooperative mutation mechanism that can control the mutation probability based on the current iteration rounds of the population, population fitness and other information. Secondly, we divide the evolutionary process into three stages based on the properties of NAS, so that the different stages can adaptively adjust the mutation probability according to the population state and the expected development goals. Finally, we incorporate multiple optimization objectives from GANs based on image generation tasks into ENAS. And we construct an adaptive multiobjective ENAS based on a two-factor cooperative mutation mechanism. We test and ablate our algorithm on the STL-10 and CIFAR-10 datasets, and the experimental results show that our method outperforms the majority of traditional NAS-GANs. © 2023 ACM.

关键词： Generative adversarial networks

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UI-FAME: A deductive forgetting system for creating views of ALC-TBoxes 33

UI-FAME: A deductive forgetting system for creating views of...

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33rd International Workshop on Description Logics, DL 2020

作者： Wu, Xuan Lu, Chang Zhao, Yizheng Feng, Hao Schmidt, Renate A. Dai, Yiwei National Key Laboratory for Novel Software Technology Nanjing Univeristy China School of Artificial Intelligence Nanjing University China School of Physics Nanjing University China North China University of Science and Technology China Department of Computer Science University of Manchester United Kingdom

UI-FAME is a Java-based forgetting system for creating views of ALC-TBoxes. The system implements the method developed in our previous work for forgetting concept and role names from ALC-TBoxes. In this paper, we introduce UI-FAME and compare it with LETHE, a peer forgetting system for ALC-ontologies and many its extensions, over the ALC-TBox fragment of 494 realistic ontologies taken from the Oxford Ontology Repository. The comparison considers success rates, speed, memory consumption as the principal indicators to assess the performance of the two systems. For validation purpose, we also explore the semantic relationships between the views computed by the two systems. The experimental results showed that UI-FAME attained in general better success rates and performance results than LETHE. We found that in 97.08% cases UI-FAME and LETHE computed logically equivalent views, in 2.06% cases LETHE’s solution entailed UI-FAME’s solution but not the other way round, in 0.79% cases UI-FAME’s solution entailed LETHE’s solution but not the other way round, and in 0.07% cases they had no mutual entailment relationship. This was somewhat undesirable and thus needs further investigation. Copyright © 2020 for this paper by its authors.

关键词： Ontology

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Disease Diagnosis Based on Multi-View Contrastive Learning for Electronic Medical Records

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IAENG International Journal of Applied Mathematics 2023年第3期53卷

作者： Zhang, Zhengkang Yang, Dan Zhang, Yu School of Computer Science and Software Engineering University of Science and Technology Liaoning Anshan China School of computer Science and Software Engineering University of Science and Technology Liaoning Anshan China China Telecom Digital Intelligence Technology Co. Ltd Beijing China

Disease diagnosis based on electronic medical records (EMRs) is one of the important research contents of intelligent healthcare. In recent years, disease diagnosis based on heterogeneous graph neural networks has received increasing attention. However, disease diagnosis tasks often suffer from the lack of labeling information due to the high cost of manual labeling. And existing disease diagnosis models based on heterogeneous graph neural networks ignore the correlation between different meta-paths. Therefore, we propose a disease diagnosis model based on multi-view contrastive learning (MVCDD). MVCDD uses medical data from electronic medical records to construct medical heterogeneous graphs, and uses a fixed-depth random walk method to obtain semantic subgraphs defined by multiple meta-paths. Meanwhile, we introduce the inter-view contrastive learning task to model the correlation between different meta-paths. MVCDD optimizes the patient representations by combining intra-view and inter-view contrastive learning tasks jointly. Extensive experiments are conducted on the MIMIC-III dataset. The experimental results on the MIMIC-III dataset demonstrate that MVCDD outperforms other baselines and effectively improves the performance of disease diagnosis. © (2023), (International Association of Engineers). All Rights Reserved.

关键词： Semantics

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A proposal for a bachelor's degree program in software engineering 3rd

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3rd SEI Conference on software Engineering Education, 1989

作者： Bailes, Paul A. Salzman, Eric J. Rosel, Andreas Key Centre for Software Technology Department of Computer Science University of Queensland St. LuciaQLD4067 Australia School of Computing Science Queensland University of Technology GPO Box 2434 BrisbaneQLD4001 Australia

ISBN: (纸本)9780387970905

Perception of software Engineering as a multi-disciplinary profession like established branches of engineering justifies its treatment in a specialised bachelor's degree. Identification of the essence of professional engineering education in general, and the instantiation of this essence with the particular content requirements of SE, provide precise SEE design criteria. The critical role of the introductory Programming course in establishing the importance of correct SE methods dictates the adoption of functional programming for its purposes. Necessary resources for teaching functional programming to introductory classes are either available or easily accessible. The curriculum overall builds upon this foundation, avoiding mistakes in existing CS curricula, providing quality academic education with the extensive practical and integrative work required for professional preparation. © 1989, Springer Verlag. All rights reserved.

关键词： Curricula

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Research on Dynamic Workflow Based on Delegation Authorization Mechanism

Research on Dynamic Workflow Based on Delegation Authorizati...

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International Conference on Computational Intelligence and software Engineering (CiSE)

作者： Shengjun Xue Xiangfeng Tang School of Computer and Software Nanjing University of Information Science and Technology Nanjing China School of Computer Science &Technology Wuhan University of Technology Wuhan China

The dynamic characteristic is one significant feature of modern workflow. In the dynamic workflow environment, workflow process is uncertain and can't be decided at once. In the workflow modeling stage, it is difficult to determine the task executors. Or executors should be assigned to the workflow task dynamically. So this paper does some research on dynamic workflow based on delegation authorization mechanism. Firstly, by analyzing workflow, the structure of dynamic workflow is given, the relationship between tasks and executors and the organization/user model are focused; Then, with studying on delegation of Authorization, formal descriptions on delegation relationship, delegation chain are provided, delegation condition, delegation constraint, delegation revocation are defined; At last, the two of delegation authorization mechanism and dynamic workflow are combined to solve the task users assignation problem, the delegation authorization structure in the dynamic workflow environment is presented, and the process of deciding task users and the algorithm of delegation authorization are shown.

关键词： Authorization Automation software Information science Algorithm design and analysis computer science Web services Service oriented architecture Information technology Government

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Subscription privacy protection in topic-based pub/sub

Subscription privacy protection in topic-based pub/sub

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18th International Conference on Database Systems for Advanced Applications, DASFAA 2013

作者： Rao, Weixiong Chen, Lei Yuan, Mingxuan Tarkoma, Sasu Mei, Hong School of Software Engineering Tongji University Shanghai China Department of Computer Science and Engineering Hong Kong Uni. of Sci. and Tech. Hong Kong Computer Science Department University of Helsinki Finland Department of Computer Science and Technology Peking Univeristy China

ISBN: (纸本)9783642374869

Topic-based publish/subscribe (pub/sub) is a popular paradigm to decouple message producers and consumers with the help of brokers. However, third-party brokers may be hacked, sniffed, subpoenaed, or impersonated. Thus, the brokers cannot be trusted. In particular, the collusion attack between compromised subscribers and untrusted brokers easily exposes the privacy of honest subscribers. Given the untrusted brokers and collusion attacks, traditional security techniques alone cannot protect subscribers' privacy. By adopting the k-anonymity model to the topic-based pub/sub, we propose to use cloaked subscriptions to blur subscribers' real interests. Such cloaked could protect the subscription privacy but meanwhile incur high forwarding cost. Thus, we minimize the forwarding cost meanwhile satisfying the privacy requirement, and formulate an integer programming (IP)-based optimization problem. After relaxing the IP problem to a linear programming (LP) problem, we design a new rounding algorithm that optimally minimizes the expected forwarding cost. The experiments show that our scheme efficiently achieves the trade-off between the forwarding cost and the privacy requirement. © Springer-Verlag 2013.

关键词： Costs

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Spatial co-variation of lip and tongue at strong and weak syllables

Spatial co-variation of lip and tongue at strong and weak sy...

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International Symposium on Chinese Spoken Language Processing

作者： Ju Zhang Kiyoshi Honda Jianguo Wei Jianrong Wang Jianwu Dang School of Computer Science and Technology Tianjin University School of Computer Software Tianjin University School of Information Science Japan Advanced Institute of Science and Technology

ISBN: (纸本)9781509042951

Speech production requires control for coordination among different articulatory organs. During the natural speech, the articulatory co-variation is more common rather than compensation, but the studies supporting this view are few. In this study, the coordination of lip and tongue articulation was examined during speech using articulatory data. Native speakers of Chinese served as subjects. Speech materials consisted of short Chinese sentences, which include words having the cardinal vowels at different locations in sentences with and without emphasis. Articulatory movements were recorded using Microsoft Kinect for Windows and Terason T3000 ultrasound systems. After movement collection, 3D lip shapes were extracted from planar and depth images to examine the degree of lip deformation, and mid-sagittal tongue contours were tracked on ultrasound images to observe tongue surface deformation. The results indicate the tendency of covariation between the lips and tongue rather than compensation, showing more extreme articulation of both for vowels at strong syllables than at weak syllables.

关键词： Lips Tongue Three-dimensional displays Speech Ultrasonic imaging Shape Cameras

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Discovery Science 1

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丛书名： Lecture Notes in computer Science

1000年

作者： Tapio Elomaa Jaakko Hollmén Heikki Mannila

ISBN: (数字)9783642244773

ISBN: (纸本)9783642244766

This book constitutes the refereed proceedings of the 14th International Conference on Discovery Science, DS 2011, held in Espoo, Finland, in October 2011 - co-located with ALT 2011, the 22nd International Conference on Algorithmic Learning Theory. The 24 revised full papers presented together with 5 invited lectures were carefully revised and selected from 56 submissions. The papers cover a wide range including the development and analysis of methods for automatic scientific knowledge discovery, machine learning, intelligent data analysis, theory of learning, as well as their application to knowledge discovery.

关键词： Artificial Intelligence Information Storage and Retrieval Information Systems Applications (incl. Internet) Database Management Data Mining and Knowledge Discovery Algorithm Analysis and Problem Complexity

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Reduction method of regression testing requirements based on relation mode

Reduction method of regression testing requirements based on...

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International Conference on Computational Intelligence and software Engineering

作者： Chen, Jing Wang, Lu Bai, Zhiquan Xu, Yongjie Software Testing Center Shandong Provincial Key Laboratory of Computer Network Jinan China Software Development Center Shandong Zhengfangrenhe Information Technology Co. Ltd. Jinan China School of Information Science and Engineering Shandong University Jinan China

ISBN: (纸本)9781424453924

The variations in testing requirements often result in the problem of numerous test cases and low efficiency in regression testing. To solve this problem, a reduction method of testing requirements is proposed based on the relation mode in this paper. This method analyzes the relationship between the modules and testing requirements, then determines the varied regression testing requirements, and gets the final testing requirement set by reduction of the varied regression testing requirement set and the original testing requirement set in three times. If test cases are generated and reduced on the basis of the testing requirement reduction set, the efficiency of the regression testing will be improved. ©2010 IEEE.

关键词： Efficiency

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