检索结果-内蒙古大学图书馆

Asia-Pacific Conference on software engineering

作者： Muhammad Usman Muhammad Zohaib Iqbal Muhammad Uzair Khan Software Quality Engineering & Testing Laboratory National University of Computer and Emerging Sciences Islamabad Pakistan 2SnT Centre University of Luxembourg Luxembourg

Mobile application development has emerged as one of the most focused areas in software industry due to exponential growth of mobile users and applications. The focus of the current mobile industry is on direct implementation, rather than analysis and design. Model-driven engineering practices are ignored, which results in low reusability and lack of portability along with other challenges. In addition, mobile applications also have to support multiple platforms, as an application written for one platform (e.g., Android) cannot run on another platform (e.g., Windows Phone). Each of the platforms in turn suffers from fragmentation. This results in multiple versions of an application that need to be simultaneously maintained. This is a huge burden on the development team, both in terms of cost and effort, due to various platforms that an application supports. This paper proposes a model-driven approach to generate mobile applications for multiple platforms. We carefully identify a subset of UML and propose a modeling methodology for this purpose. We use real use-cases for requirement gathering, class diagram for structural modeling, while state machine are used for behavioral modeling. We focus on modeling business logic layer for the mobile application. We also propose a UML profile for modeling mobile domain specific concepts. Our approach uses Action Language for Foundational Subset of UML (ALF) to specify actions in the state machines. Our approach allows the modeler to automatically generate business logic code for multiple platforms. The approach is supported by an automated tool MAG (Mobile Application Generator). We apply our model-driven approach on an industrial case study 'Scramble' app developed by 'Next In' to demonstrate its viability.

关键词： Unified modeling language Mobile communication Application programming interfaces Smart phones Business Graphical user interfaces Games

来源：评论

学校读者我要写书评

暂无评论

Odor plume source localization with a Pioneer 3 Mobile Robot in an indoor airflow environment

Odor plume source localization with a Pioneer 3 Mobile Robot...

引用

IEEE Southeastcon

作者： Hai-feng Jiu Shuo Pang Jin-long Li Bing Han National Key Laboratory of AUV Technology Harbin Engineering University Harbin China Computer Software Systems Engineering Dept Embry-Riddle Aeronautical University Daytona Beach FL

Olfactory-based mobile robots use odors as a guide to navigate and track in the unknown environments. The key issue of localizing the odor plume source is how to trace odor plume effectively. This paper presents an effective olfactory-based planning and search algorithms for using on mobile robots. The algorithms are based on Bayesian inference theory and artificial potential field methods. The Bayesian inference theory is used to construct the probability map of plume source based on the flow records and plume detection information collected from sensors. Then the Artificial Potential Field (APF) method is used for planning a plume tracking path. The robot follows the path to trace odor plume until the source is detected. The algorithms were implemented on a Pioneer 3 Mobile Robot in an indoor airflow environment. Experiment results show that the search algorithms are effective and feasible to odor plume source localization problem.

关键词： Biology Robot sensing systems Mobile communication Robustness

来源：评论

学校读者我要写书评

暂无评论

Data Avenue: Remote Storage Resource Management in WS-PGRADE/gUSE

Data Avenue: Remote Storage Resource Management in WS-PGRADE...

引用

International Workshop on Science Gateways (IWSG)

作者： Ákos Hajnal Zoltán Farkas Péter Kacsuk Laboratory of Parallel and Distributed Systems Hungarian Academy of Sciences Budapest Hungary Computer Science and Software Engineering Department University of Westminster London United Kingdom

State-of-the-art gateways are connected to several distributed computing infrastructures (DCIs) and are able to run jobs and workflows simultaneously in all those different DCIs. However, the flexibility of accessing data storages belonging to different DCIs is a missing feature of current gateways. SZTAKI (Institute for computer Science and Control) has developed a Data Avenue Blacktop service and aLiferay-based Data Avenue port let that open the door for integrating such features into science gateways. The paper explains the design considerations of the Data Avenue Blacktop service and its usage scenarios in science gateways through the Data Avenue port let.

关键词： Conferences Logic gates

来源：评论

学校读者我要写书评

暂无评论

Mining contrast subspaces

Mining contrast subspaces

引用

18th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2014

作者： Duan, Lei Tang, Guanting Pei, Jian Bailey, James Dong, Guozhu Campbell, Akiko Tang, Changjie School of Computer Science Sichuan University China School of Computing Science Simon Fraser University Canada Dept. of Computing and Information Systems University of Melbourne Australia Dept. of Computer Sci. and Engr. Wright State University United States Pacific Blue Cross Canada State Key Laboratory of Software Engineering Wuhan University China

ISBN: (纸本)9783319066073

In this paper, we tackle a novel problem of mining contrast subspaces. Given a set of multidimensional objects in two classes C+ and C - and a query object o, we want to find top-k subspaces S that maximize the ratio of likelihood of o in C+ against that in C -. We demonstrate that this problem has important applications, and at the same time, is very challenging. It even does not allow polynomial time approximation. We present CSMiner, a mining method with various pruning techniques. CSMiner is substantially faster than the baseline method. Our experimental results on real data sets verify the effectiveness and efficiency of our method. © 2014 Springer International Publishing.

关键词： Mining

来源：评论

学校读者我要写书评

暂无评论

software process simulation—at a crossroads?

Software process simulation—at a crossroads?

引用

作者： Zhang, He Raffo, David Birkhöltzer, Thomas Houston, Dan Madachy, Raymond Münch, Jürgen Sutton, Stanley M State Key Laboratory of Novel Software Technology Software Institute Nanjing University NanjingJiangsu China School of Business Administration Portland State University PortlandOR United States University of Applied Sciences Konstanz Germany Computer & Software Division The Aerospace Corporation El SegundoCA United States Department of Systems Engineering Naval Postgraduate School MontereyCA United States Department of Computer Science University of Helsinki Helsinki Finland IBM T.J. Watson Research Center Yorktown HeightsNY United States Software Institute Nanjing University China

software process simulation (SPS) has been evolving over the past two decades after being introduced to the software engineering community in the 1980s. At that time the SPS technology attracted a great deal of interest from both academics and practitioners in the software process community—even to the extent of being one of the recommended techniques for achieving multiple Key Process Areas of Level 4 of the Capability Maturity Model Integration. However, in recent years, the growth of SPS seems to have slowed along with the number of reported applications in industry. This article summarizes the special panel that was held during ICSSP 2012 whose goals were to assess whether this technology remains applicable to today's software engineering projects and challenges and to point out the most beneficial opportunities for future research and industry application. Copyright © 2014 John Wiley & Sons, Ltd. Copyright © 2014 John Wiley & Sons, Ltd.

关键词： Application programs

来源：评论

学校读者我要写书评

暂无评论

Web information mining and decision support platform for the modern service industry 52

Web information mining and decision support platform for the...

引用

52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014

作者： Li, Binyang Zhou, Lanjun Wei, Zhongyu Wong, Kam-Fai Xu, Ruifeng Xia, Yunqing Dept. of Information Science and Technology University of International Relations China Dept. of Systems Engineering and Engineering Management The Chinese University of Hong Kong N.T. Shatin Hong Kong MoE Key Laboratory of High Confidence Software Technologies China Shenzhen Research Institute The Chinese University of Hong Kong Harbin Institute of Technology Shenzhen Graduate School Shenzhen China Department of Computer Science and Technology TNList Tsinghua University China

ISBN: (纸本)9781941643006

This demonstration presents an intelligent information platform MODEST. MODEST will provide enterprises with the services of retrieving news from websites, extracting commercial information, exploring customers' opinions, and analyzing collaborative/competitive social networks. In this way, enterprises can improve the competitive abilities and facilitate potential collaboration activities. At the meanwhile, MODEST can also help governments to acquire information about one single company or the entire board timely, and make prompt strategies for better support. Currently, MODEST is applied to the pillar industries of Hong Kong, including innovative finance, modem logistics, information technology, etc. © 2014 Association for Computational Linguistics.

关键词： Decision support systems

来源：评论

学校读者我要写书评

暂无评论

Sentiment Analysis on Weibo Data

Sentiment Analysis on Weibo Data

引用

2014 IEEE computers,Communications and IT Applications Conference(ComComAp)

作者： Di Li Jianwei Niu Meikang Qiu Meiqin Liu State Key Laboratory of Software Development Environment Beihang University Department of Computer Science Pace UniversityManhattan NYCNY 10038USA Department of Systems Science and Engineering Zhejiang University

ISBN: (纸本)9781479948109

With the development of the Internet,people share their emotion statuses or attitudes on online social websites,leading to an explosive rise on the scale of *** sentiment information behind these data helps people know about public opinions and social *** this paper a sentiment analysis algorithm adapting to Weibo(Microblog) data is *** that a Weibo post is usually short,LDA model is used to generate text features based on semantic information instead of text *** decide the sentiment polar and degree,SVR model is used *** shows the algorithm performs well on Weibo data.

关键词： public opinion monitoring sentiment analysis text classification

来源：评论

学校读者我要写书评

暂无评论

A novel use of big data analytics for service innovation harvesting

A novel use of big data analytics for service innovation har...

引用

2013 5th International Conference on Service Science and Innovation, ICSSI 2013

作者： Ghose, Aditya K. Morrison, Evan Gou, Yingzhi Decision Systems Laboratory School of Computer Science and Software Engineering University of Wollongong Australia

ISBN: (纸本)9780769549859

Service innovation has assumed considerable significance with the growth of the services sectors of economies globally, yet progress has been slow in devising carefully formulated, systematic techniques to under pin service innovation. This paper argues that a novel approach to big data analytics offers interesting solutions in this space. The paper argues that the use of big data analytics for generating enterprise service insights is often ignored (while the extraction of insights about customers, the market and the enterprise context has received considerable attention). The paper offers a set of techniques (collectively referred to as {\em innovation harvesting}) which leverage big data in various forms, including object state sensor data, behaviour logs as well large-scale sources of open data such as the web to mine service innovation insights. The paper also outlines how systematic search might help overcome the limitations of big data analytics in this space. © 2013 IEEE.

关键词： Big data

来源：评论

学校读者我要写书评

暂无评论

Improving Cyber Resiliency of Cloud Application Services by Applying software Behavior Encryption (SBE)

引用

Procedia computer Science 2014年 28卷 62-70页

作者： Danny Thebeau II Benjamin Reidy Ricardo Valerdi Avinash Gudagi Hemayamini Kurra Youssif Al-Nashif Salim Hariri Frederick Sheldon University of Arizona Department of Systems and Industrial Engineering 1127 E. James E. Rogers Way Tucson AZ 85721-0012 USA University of Arizona Electrical and Computer Engineering 1230 E. Speedway Blvd PO Box 210104 Tucson AZ 85721-0104 USA Oak Ridge National Laboratory Applied Software Engineering Research PO Box 2008 Oak Ridge TN 37831 USA

The objective of this work is to define and measure cyber resiliency of the “cloud” in a Moving Target Defense (MTD) environment that applies the software Behavior Encryption (SBE) method. Implementation of SBE has shown to increase vulnerability tolerance in a particular software system by introducing software diversity and redundant version shuffling to obfuscate the system to attackers. With this in mind, this paper nominates attack surface, confidentiality, integrity, availability, and survivability as the critical components of cyber resiliency, and a notional example is provided to demonstrate the components application and aggregation.

关键词： Moving Target Defense (MTD) software Behavior Encryption (SBE) Storage Dynamic Encryption (SDE) Resiliency Attack Surface Survivability Availability Integrity Confidentiality

来源：评论

学校读者我要写书评

暂无评论

Stage diagnosis for Chronic Kidney Disease based on ultrasonography

Stage diagnosis for Chronic Kidney Disease based on ultrason...

引用

International Conference on Fuzzy systems and Knowledge Discovery (FSKD)

作者： Chi-Jim Chen Tun-Wen Pai Hamido Fujita Chien-Hung Lee Yang-Ting Chen Kuo-Su Chen Yung-Chih Chen Department of Computer Science and Engineering National Taiwan Ocean University Keelung Taiwan Intelligent Software Systems Laboratory Iwate Prefectural University Iwate Japan Department of Nephrology Department of General Intern Chang-Gung Memorial Hospital Keelung Taiwan

ISBN: (纸本)9781479951499

A large portion of people suffer from Chronic Kidney Disease (CKD) in the world. Unfortunately, some of them don't know they have been contracted CKD until they need dialysis treatment at the end stage. Diagnosis through non-invasive ultrasonic imaging techniques become important clinical approaches for detecting CKD, and high potential or at-risk CKD patients could avoid being infected via blood test and/or reduce chances of abrupt deterioration in renal function by taking iodinated contrast medium. This research established a detection system based on computer vision and machine learning techniques for facilitating diagnosis of CKD and different stages of CKD. Novel features and support vector machine were applied for rapid detection. In this study, several evaluations on different clustered groups were performed and compared according to estimated glomerular filtration rates (GFR). In addition, the proposed system required 0.016 seconds in average for feature extraction and classification for each testing case. The results showed that the system could produce consistent diagnosis based on noninvasive ultrasonographic approaches and which could be considered as the most proper clinical diagnosis and medical treatment for CKD patients.

关键词： Kidney Acoustics Feature extraction Brightness Standards Medical services Support vector machines

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：