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2013 3rd International Conference on Mechanical Materials and Manufacturing engineering(ICMMME 2013)

作者： Yan Gao Xin Zhang Jianzhong Xu Institute of Software and Engineering Shanghai Key Laboratory of Trustworthy Computing East China Normal University Institute of Computer Science and Technology Nanchang Army Collage

For resource-constrained project scheduling problems,with aircraft assembly as its background,we established its mathematics model as constraint satisfaction *** improved critical path scheduling algorithm is proposed,considering the constraints of precedence relations,resource constraints and space constraints,through the two stages of planning,reaching for aircraft assembly task scheduling optimization *** the given numerical example results show that,when the objective consists in minimizing the project duration,the algorithm has better performance.

关键词： Task Scheduling Resource Constraints Critical Path

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Mining Logical Clones in software: Revealing High-Level Business and Programming Rules

Mining Logical Clones in Software: Revealing High-Level Busi...

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International Conference on software Maintenance (ICSM)

作者： Wenyi Qian Xin Peng Zhenchang Xing Stan Jarzabek Wenyun Zhao Software School Fudan University Shanghai China School of Computer Engineering Nanyang Technological University Singapore School of Computing National University of Singapore Singapore

ISBN: (纸本)9781467352185

software systems contain many implicit application-specific business and programming rules. These rules represent high-level logical structures and processes for application-specific business and programming concerns. They are crucial for program understanding, consistent evolution, and systematic reuse. However, existing pattern mining and analysis approaches cannot effectively mine such application-specific rules. In this paper, we present an approach for mining logical clones in software that reveal high-level business and programming rules. Our approach extracts a program model from source code, and enriches the program model with code clone information, functional clusters (i.e., a set of methods dealing with similar topics or concerns), and abstract entity classes (representing sibling entity classes). It then analyzes the enriched program model for mining recurring logical structures as logical clones. We have implemented our approach in a tool called MiLoCo (Mining Logical Clone) and conducted a case study with an open-source ERP and CRM software. Our results show that MiLoCo can identify meaningful and useful logical clones for program understanding, evolution and reuse.

关键词： Cloning Business Clustering algorithms Data mining Programming Abstracts Semantics

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Can First-year Students Program Yet? A Study Revisited

Can First-year Students Program Yet? A Study Revisited

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9th Annual International computing Education Research Conference, ICER 2013

作者： McCartney, Robert Boustedt, Jonas Eckerdal, Anna Sanders, Kate Zander, Carol Department of Computer Science and Engineering University of Connecticut Storrs CT United States Faculty of Engineering and Sustainable Development University of Gávie Gávie Sweden Department of Information Technology Uppsala University Uppsala Sweden Mathematics and Computer Science Rhode Island College Providence Rl United States Computing and Software Systems University of Washington Bothell Bothell WA United States

ISBN: (纸本)9781450322430

The McCracken et al. working group paper is often cited for the proposition that students can't program. In that study, students from four different institutions were each assigned to implement one of three versions of a calculator. More than half of the students failed to produce a program that compiled and executed in the time assigned. Lost in this discussion, however, is the fact that the original paper had the goal of evaluating its instrument, as well as the students. We examine and adjust their instrument, and present the results of the revised study. With a modified instrument, we have obtained significantly improved results. Copyright © 2013 ACM.

关键词： Students

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Design of a Web-based Thesaurus for Systems of Systems engineering

Design of a Web-based Thesaurus for Systems of Systems Engin...

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International Conference on System of Systems engineering

作者： Vishal Barot Michael Henshaw Carys Siemieniuch Huseyin Dogan School of Electronic Electrical and Systems Engineering Engineering Systems of Systems (ESoS) Group Loughborough University LEU 3TU School of Design Engineering and Computing Software Systems Research Centre Bournemouth University

ISBN: (纸本)9781467355964

Design of a web-based thesaurus for Systems of Systems engineering (SoSE) discipline is presented in this article. Due to lack of linguistic clarity within this emerging discipline, there is a strong need to represent and interpret SoS concepts and terms to align heterogeneous models, and tools and techniques developed for SoS operations, management and its governance. A Blackboard-based systems approach is therefore used to devise a model, providing a mechanism for high level organisation and sharing of knowledge and information within the SoSE thesaurus system. To illustrate its applicability, a scenario derived from realistic use cases is provided. The potential benefits of this research are identified and a brief description of intended further work is given.

关键词： Thesaurus Systems of Systems engineering Blackboard Design thesaurus BLACKBOARD Systems engineering and theory systems engineering

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Two dimension nonnegative partial least squares for face recognition

Two dimension nonnegative partial least squares for face rec...

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9th International Conference on Information, Communications and Signal Processing, ICICS 2013

作者： Ge, Yongxin Bu, Wenbin Yang, Dan Feng, Xin Zhang, Xiaohong Key Laboratory of Dependable Service Computing in Cyber Physical Society Ministry of Education Chongqing 400044 China School of Software Engineering Chongqing University Chongqing 400044 China College of Mathematics and Statistics Chongqing University Chongqing 400044 China College of Computer Science and Technology Chongqing University of Technology Chongqing 400044 China

ISBN: (纸本)9781479904341

For benefiting from incorporating the class information, partial least squares (PLS) and its two dimension version (2DPLS) have been widely employed in face recognition when extracting principal components. However, currently popular statistic methods, such as principal component analysis (PCA) and linear discriminant analysis (LDA), only learn holistic, not parts-based, representations which ignore available local features for face recognition. In this paper, we propose a novel approach to extract the facial features called two dimension nonnegative partial least squares (2DNPLS).Our approach can grab the local features via adding non-negativity constraint to the 2DPLS, and can also reserve the advantages of 2DPLS, which are both inherent structure and class information of images. For evaluating our approach's performance, a series of experiments were conducted on two famous face image databases include ORL and Yale face databases, which demonstrate that our proposed approach outperforms the compared state-of-art algorithms. © 2013 IEEE.

关键词： Face recognition

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Goal-based Framework for cold-start problem using multi-user personalized similarities in e-Learning scenarios

Goal-based Framework for cold-start problem using multi-user...

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International Conference on e-Learning and e-Technologies in Education (ICEEE)

作者： M. Waseem Chughtai Imran Ghani Ali Semalat Seung Ryul Jeong Software Engineering Department Faulty of Computing Universiti Teknologi Malaysia Skudai Johor Malaysia School of Business IT Seongbuk Gu Kookmin Univerity Seoul South Korea

This article presents the Goal-based Framework for providing personalized similarities between multi users profile preferences in formal e-Learning scenarios. It consists of two main approaches: content-based filtering and collaborative filtering because only traditional content-based filtering is not sufficient to generate the recommendations for new-users / learners. Therefore, the proposed work hybridized multi users collaborative filtering functionalities with personalized content-based profile preferences filtering. The main purpose of this proposed work is to (a) overcome the user-based cold-start profile recommendations and (b) improve the recommendations accuracy for new-users in formal e-learning recommendation systems. The experimental results of proposed Goal-based framework are tackled by using famous `MovieLens' dataset while the evaluation of experimental results have been performed with precision mean and recall mean to test the effectiveness of goal-based recommendation framework. Experimental results (precision mean: 76.284% and recall mean: 82.413%) show that the proposed framework goals performed well for the improvement of user-based cold-start issue as well as for content-based profile recommendations, using multi users personalized collaborative similarities, in formal e-Learning scenarios effectively.

关键词： Recommender systems Collaboration Electronic learning Accuracy Training

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Optimization for reliable erasure-coded storage allocation under multiple constraints

Optimization for reliable erasure-coded storage allocation u...

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IEEE International Conference on Performance, computing and Communications (IPCCC)

作者： Guangping Xu Xing Guo Hua Zhang Sheng Lin Chunxia Yang Computer and Communication Engineering School Tianjin University of Technology Tianjin China Tianjin Key Lab. of Intelligence Computing and New Software Technology Tianjin China

ISBN: (纸本)9781479932153

To maximize the reliability of erasure coded objects in cloud storage, the optimal allocation is a challenging problem constrained with the node heterogeneities and erasure coding budgets. We model the optimal problem from a combinatorial view under multiple constraints and propose an efficient search algorithm to find the most reliable allocation. The experiments are evaluated and analyzed including the optimal reliability, redundancy reduction and allocation pattern.

关键词： Peer-to-peer computing Resource management Encoding Redundancy Availability Bandwidth

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Detecting Flu Transmission by Social Sensor in China

Detecting Flu Transmission by Social Sensor in China

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IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social computing (CPSCom) Green computing and Communications (GreenCom)

作者： Jiangmiao Huang Hui Zhao Jie Zhang Software Engineering Institute East China Normal University Shanghai China Key Laboratory of Trustworthy Computing of Shanghai East China Normal University Shanghai China

ISBN: (纸本)9781479906314

The control and prevention of transmissible diseases is an important public health concern. This paper gives a strategy to detect the transmission of contagion based on social network. With the popularity of the Weibo, a hybrid of Twitter and Facebook in China, people often posts his/her feelings when he/she or his/her friend suffers from disease. Thus, Weibo plays a social sensor role to surveill people's health status. By exploring more than 35.3 million tweets from Sina Weibo, we first filter the data according to the ILI (Influenza like Illness ) definition and compare the online social network data with the statistics summery of China CDC (Center of Disease Control and Prevention) using cosine similarity and the standard deviation metrics. Dynamic Bayesian Network is applied to detect the outbreak and transmission of influenza in a certain city considering the co-location and the social ties. The experiment results show our methods can give effective suggestions to control and prevent the influenza epidemic in China.

关键词： Cities and towns Social network services Diseases Standards Bayes methods Hidden Markov models Educational institutions

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Presentation design of e-assessments for blind users using touch screen devices

Presentation design of e-assessments for blind users using t...

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

作者： Mohammed Fakrudeen Sufian Yousef Abdelrahman H. Hussein Maaruf Ali Department of Computing and Technology Anglia Ruskin University Chelmsford UK College of Computer Sciences & Software Engineering University of Ha'il Ha'il Saudi Arabia

The Web Content Accessibility Guidelines (WCAG) have been used by web developers to develop accessible web pages. However, touch screen accessibility varies with web site accessibility. This research is dedicated to the improvement of accessibility of e-assessment in mobile touch screen for blind users. We chose IMS' Question and Test Interoperability specification (QTI) as a basis to generate the components of the e-assessment. We then extended the components to derive the Accessibility and Usability features Guidelines (AUG) using the WCAG. Specifically, we designed a prototype according to the derived AUG to check the accessibility for blind users. We analysed the results and found that the performance of the prototype is promising.

关键词： Usability Presses Prototypes Smart phones Guidelines Thumb Materials

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Continuous ranking on uncertain streams

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Frontiers of Computer Science 2012年第6期6卷 686-699页

作者： Cheqing JIN Jingwei ZHANG Aoying ZHOU Shanghai Key Laboratory of Trustworthy Computing Software Engineering InstituteEast China Normal UniversityShanghai 200062China

Data uncertainty widely exists in many web applications, financial applications and sensor networks. Ranking queries that return a number of tuples with maximal ranking scores are important in the field of database management. Most existing work focuses on proposing static solutions for various ranking semantics over uncertain data. Our focus is to handle continuous ranking queries on uncertain data streams： testing each new tuple to output highly-ranked tuples. The main challenge comes from not only the fact that the possible world space will grow exponentially when new tuples arrive, but also the requirement for low space- and time- complexity to adapt to the streaming environments. This paper aims at handling continuous ranking queries on uncertain data streams. We first study how to handle this issue exactly, then we propose a novel method （exponential sampling） to estimate the expected rank of a tuple with high quality. Analysis in theory and detailed experimental reports evaluate the proposed methods.

关键词： possible world semantics uncertain data stream continuous ranking query sampling

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