2013 Sixth International Conference on Developments in eSystems Engineering最新文献_第2页

Intrinsic Plagiarism Detection Using Latent Semantic Indexing and Stylometry 基于潜在语义索引和文体学的内在抄袭检测

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.34

Muna Alsallal, R. Iqbal, S. Amin, Anne E. James

引用次数: 20

Advanced 3D Simulation Technology for eRobotics: Techniques, Trends, and Chances 机器人先进的3D模拟技术:技术，趋势和机会

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.35

M. Schluse, Christian Schlette, R. Waspe, J. Roßmann

{"title":"Advanced 3D Simulation Technology for eRobotics: Techniques, Trends, and Chances","authors":"M. Schluse, Christian Schlette, R. Waspe, J. Roßmann","doi":"10.1109/DeSE.2013.35","DOIUrl":"https://doi.org/10.1109/DeSE.2013.35","url":null,"abstract":"The use of simulation technology is well known in the field of engineering. On a daily basis, engineers use e.g. block oriented simulation systems to develop controllers or FEM analysis methods to test and verify component layouts. By contrast, the use of 3D simulation technology based on kinematics, rigid body or sensor simulation so far seems to be limited to only a few specific application areas like robotics. But especially \"3D\" simulation technology has the potential to evolve from a support tool to a core engineering technology acting as a new focal point in engineering processes. It is now the goal of eRobotics to introduce a continuous and systematic computer support into the entire lifecycle of complex systems. This \"computer support\" will be provided by 3D simulation technology which requires the development of new architectures for 3D simulation frameworks, setting new benchmarks in performance, flexibility, modularity, integration capabilities and realism. These frameworks will also close the gap between virtual and real worlds, allowing for smooth bidirectional transitions between them. This paper introduces the basic concepts of eRobotics, summarizes new requirements on 3D simulation technology and introduces a new reference implementation which meets the formulated requirements.","PeriodicalId":248716,"journal":{"name":"2013 Sixth International Conference on Developments in eSystems Engineering","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122972152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Securing Customer Email Communication in E-Commerce 保障电子商务中客户的电子邮件沟通

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.59

A. Ojamaa, Uku-Rasmus Lind

引用次数: 1

Integrated E-System for Pollution and Climate Change Monitoring in the Framework of the Romanian Atmospheric Research 3D Observatory - RADO 罗马尼亚大气研究三维天文台- RADO框架下的污染和气候变化监测综合电子系统

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.39

L. Belegante, F. Toanca, J. Vasilescu, D. Nicolae, A. Nemuc

引用次数: 0

Development of Normal Strength Concrete from Crushed Al-Ma'mora Stones Al-Ma'mora碎石正强混凝土的研制

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.61

Yaseen T. Khaleel, O. H. Jasim

引用次数: 0

Assessing the Impact of Web-Based Technology on Learning Styles in Education 评估网络技术对教育学习方式的影响

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.68

M. Alghamdi, D. Lamb, D. Al-Jumeily, A. Hussain

引用次数: 8

PSO Based Indoor RFID Network Planning 基于粒子群算法的室内RFID网络规划

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.11

F. Al-Naima, Raoof T. Hussein

引用次数: 4

Medical Diagnosis: Are Artificial Intelligence Systems Able to Diagnose the Underlying Causes of Specific Headaches? 医学诊断:人工智能系统能够诊断特定头痛的潜在原因吗?

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.72

Anthony Farrugia, D. Al-Jumeily, M. Al-Jumaily, A. Hussain, D. Lamb

{"title":"Medical Diagnosis: Are Artificial Intelligence Systems Able to Diagnose the Underlying Causes of Specific Headaches?","authors":"Anthony Farrugia, D. Al-Jumeily, M. Al-Jumaily, A. Hussain, D. Lamb","doi":"10.1109/DeSE.2013.72","DOIUrl":"https://doi.org/10.1109/DeSE.2013.72","url":null,"abstract":"Artificial intelligence is the capability of computing machines to perform at par with humans in some cognitive tasks. Since its conception in the 1940s, AI has ambitiously evolved to naturally and comfortably immerse in extraordinary and multidisciplinary fields including computer science, education, engineering and medicine. This survey aims to provide and highlight the importance of AI work in the field of medical informatics and biomedicine. We have reviewed latest AI research in this immense field of medical science with special attention given to medical diagnosis. Various intelligent computing tools from rule-based expert systems and fuzzy logic to neural networks and genetic algorithms used in medical diagnosis were considered. We have explored hydrocephalus, a medical condition causing headaches. We also analysed a prototype of what is known as NeuroDiary Web application that is currently being tested as a software mobile application for collecting data of patients with hydrocephalus. We finally propose the development of an expert mobile application system to assist clinicians in the diagnosis, analysis and treatment of hydrocephalus.","PeriodicalId":248716,"journal":{"name":"2013 Sixth International Conference on Developments in eSystems Engineering","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126047722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 12

User-Specific Fusion Using One-Class Classification for Multimodal Biometric Systems: Boundary Methods 多模态生物识别系统中使用一类分类的用户特定融合:边界方法

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DeSE.2013.56

Q. D. Tran, P. Liatsis

引用次数: 1

Outlier Preprocessing in Wireless Sensor Networks: A Two-Layered Ellipse Approach 无线传感器网络中的离群点预处理:一种双层椭圆方法

2013 Sixth International Conference on Developments in eSystems Engineering Pub Date : 2013-12-16 DOI: 10.1109/DESE.2013.22

Ibrahim Khamis, Z. Aung

{"title":"Outlier Preprocessing in Wireless Sensor Networks: A Two-Layered Ellipse Approach","authors":"Ibrahim Khamis, Z. Aung","doi":"10.1109/DESE.2013.22","DOIUrl":"https://doi.org/10.1109/DESE.2013.22","url":null,"abstract":"Sensor nodes in wireless sensor networks have limited energy resources and this hinders the dissemination of the gathered data to a central location. This stimulated our research to make use of the limited computational capabilities of these sensor nodes to build a normal model of the data gathered. Hence by having the normal model, anomalies can then be detected and forwarded to a central location. This process is done locally in the sensor nodes and hence reduces the power consumption used in transmitting all the data. Our algorithm is an enhanced version of the Data Capture Anomalies Detection Algorithm, which is used to compute a local model of the normal data in wireless sensor networks. In this paper the Data Capture Anomalies Detection is used to partition the data and then send all the data to a central server for data classification, building on the Data Capture Anomalies Detection method and in order to classify the partitioned data, our algorithm Two-Layered Data Capture Anomalies Detection sends anomalies (2%) as well as roughly (2% or 4%) of normal data for further data processing and classification purposes. Experimental results on synthetic data show that Two-Layered Data Capture Anomalies Detection is able to provide promising results.","PeriodicalId":248716,"journal":{"name":"2013 Sixth International Conference on Developments in eSystems Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124360841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0