2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing最新文献_第2页

A Neural Network Ensemble Incorporated with Dynamic Variable Selection for Rainfall Forecast 结合动态变量选择的神经网络集成降雨预报

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.37

S. Sumi, F. Zaman, H. Hirose

{"title":"A Neural Network Ensemble Incorporated with Dynamic Variable Selection for Rainfall Forecast","authors":"S. Sumi, F. Zaman, H. Hirose","doi":"10.1109/SNPD.2011.37","DOIUrl":"https://doi.org/10.1109/SNPD.2011.37","url":null,"abstract":"his paper presents a novel ensemble model of artificial neural networks for rainfall forecast incorporating dynamic variable selection. In the first phase of the model, meteorological variables optimal to the response (here rainfall) are selected with the optimal lag value of the response variable. A dynamic variable selection method named, time series least angle regression (TS-LARS) is applied in this phase. In the second phase, an ensemble comprising artificial neural network (ANN) is constructed. The number of hidden neurons in each ANN are selected randomly to speed up the training of the ensemble. The optimization of each ANN is done by Levenberg Marquart Gradient Descent method. In the third phase of the ensemble, the component ANN models are ranked based on mutual information (MI) between the outputs of the base models and the original output. Before applying MI, we have used independent component analysis (ICA) to extract the base models which are independent with each other. Finally the highest ranked base models are combined to construct the ensemble model. A real world case study has been setup in Fukuoka city, Japan. Daily rainfall data from 1990 to 2010 with relevant meteorological variables are extracted to construct the data. The empirical results reveal that, the use of TS-LARS to select most relevant dynamic variables increase the efficiency of the ensemble model, where as the ICA-MI method reduce the number of base models hence reduce the complexity of the ensemble.","PeriodicalId":336771,"journal":{"name":"2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128410343","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: 9

Driver Recognition Based on Dynamic Handgrip Pattern on Steeling Wheel 基于钢车轮动态握持模式的驾驶员识别

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.33

Ronghua Chen, M. She, Xiangping Sun, L. Kong, Yuchuan Wu

引用次数: 14

A MAC Layer Protocol Supporting the Application of WSNs in Medicine and Healthcare Domains 支持wsn在医疗保健领域应用的MAC层协议

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.32

Zhongwei Zhang, Hong Zhou

引用次数: 4

A Coverage Algorithm to Improve the Performance of PEGASIS in Wireless Sensor Networks 一种提高无线传感器网络PEGASIS性能的覆盖算法

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.11

Young-Long Chen, Neng-Chung Wang, Chin-Ling Chen, Yu-Cheng Lin

引用次数: 13

A Dual-Tree-Based On-Demand Multicast Routing Protocol for Mobile Ad Hoc Networks 一种基于双树的移动Ad Hoc网络按需组播路由协议

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.27

Neng-Chung Wang, Young-Long Chen, Chin-Ling Chen, Ying-Shiou Chen

引用次数: 8

Communication Among Multiple Threads in the Concurrent Wavelet Transformation for Image Compression 并行小波变换在图像压缩中的多线程通信

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.36

K. H. Talukder, K. Harada

{"title":"Communication Among Multiple Threads in the Concurrent Wavelet Transformation for Image Compression","authors":"K. H. Talukder, K. Harada","doi":"10.1109/SNPD.2011.36","DOIUrl":"https://doi.org/10.1109/SNPD.2011.36","url":null,"abstract":"With the increasing growth of technology and the entrance into the digital age, a huge amount of image data needs to have handled every time which often presents difficulties. So, these data must be stored and retrieved in an efficient and effective manner, in order for it to be put to practical use. In this connection, wavelet transform is used for decades as it emerged as a cutting edge technology within the field of image analysis and in computer graphics. Due to the intensive computation of wavelet transform of the image data, the multi-threaded concurrent computing is considered to be a solution. The Message Sequence Charts (MSCs) are used effectively to specify the communicating threads in the way where high-level transition systems are used to capture the control flow of the system components and MSCs to describe the non-atomic component interactions. This specification is efficiently amenable to formal verification. We present the way how to specify the communicating threads using MSCs. The compression method and the use of wavelet transform for compression are presented. Moreover, the MSC based specification along with the modified concurrency in the threads for concurrent wavelet transform are also presented.","PeriodicalId":336771,"journal":{"name":"2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114184528","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

On the Harmony of Audiovisual Materials in Cross-Media Retrieval System Based on Impression 基于印象的跨媒体检索系统中音像资料的和谐

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.17

T. Hochin, Yusuke Nakata, Hiroki Nomiya

引用次数: 1

A Study of Key Success Factors for Supply Chain Management System in Semiconductor Industry 半导体行业供应链管理系统成功的关键因素研究

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.45

T. Lu, B. Hwang, Yu-Da Chang

{"title":"A Study of Key Success Factors for Supply Chain Management System in Semiconductor Industry","authors":"T. Lu, B. Hwang, Yu-Da Chang","doi":"10.1109/SNPD.2011.45","DOIUrl":"https://doi.org/10.1109/SNPD.2011.45","url":null,"abstract":"Developing a supply chain management (SCM) system is costly, but important. However, because of its complicated nature, not many of such projects are considered successful. Few research publications directly relate to key success factors (KSFs) for implementing and operating a SCM system. Motivated by the above, this research proposes two hierarchies of KSFs for SCM system implementation and operation phase respectively in the semiconductor industry by using a two-step approach. First, a literature review indicates the initial hierarchy. The second step includes a focus group approach to finalize the proposed KSF hierarchies by extracting valuable experiences from executives and managers that actively participated in a project, which successfully establish a seamless SCM integration between the world's largest semiconductor foundry manufacturing company and the world's largest assembly and testing company. Finally, this research compared the KSF's between the two phases and made a conclusion. Future project executives may refer the resulting KSF hierarchies as a checklist for SCM system implementation and operation in semiconductor or related industries.","PeriodicalId":336771,"journal":{"name":"2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132949597","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: 2

A Light-Weight Scheduler for Single-ISA Asymmetric Multi-core Processor Using Online Profiling 基于在线分析的单isa非对称多核处理器轻量级调度器

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.14

Yuanchao Xu, Lin Du, Zhimin Zhang

{"title":"A Light-Weight Scheduler for Single-ISA Asymmetric Multi-core Processor Using Online Profiling","authors":"Yuanchao Xu, Lin Du, Zhimin Zhang","doi":"10.1109/SNPD.2011.14","DOIUrl":"https://doi.org/10.1109/SNPD.2011.14","url":null,"abstract":"Single-ISA asymmetric multi-core processors are thought as next generation emerging multi-core architecture which has better performance per watt over symmetric multi-core processors. However, they also pose unique challenges to operating system, which traditionally assume homogeneous hardware. These challenges include how to analyze program behavior dynamically in kernel with low overhead, how to modify traditional scheduling algorithm using new load-balance policy that CPU-intensive tasks have fast cores bias, whereas memory-intensive have slow core bias, how to make Linux kernel asymmetric-aware and reevaluate the load of each core of different type. We propose a light-weight operating system scheduler and successfully solve above problems with negligible overhead and no assumption. We modified Linux kernel 2.6.18 with cpufreq and perfctr driver and finally used Power Now technology to emulate performance asymmetry. Experimental results show that our scheduler outperforms default scheduler and still maintains good fairness, high efficiency and repeatable.","PeriodicalId":336771,"journal":{"name":"2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116352934","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: 1

A Domain Specific Expert System Model for Diagnostic Consultation in Psychiatry 精神病学诊断咨询的领域专家系统模型

2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing Pub Date : 2011-07-06 DOI: 10.1109/SNPD.2011.38

Irosh Fernando, F. Henskens, Martin Cohen

{"title":"A Domain Specific Expert System Model for Diagnostic Consultation in Psychiatry","authors":"Irosh Fernando, F. Henskens, Martin Cohen","doi":"10.1109/SNPD.2011.38","DOIUrl":"https://doi.org/10.1109/SNPD.2011.38","url":null,"abstract":"Medical Experts Systems have been one of the earliest and ongoing pursuits of the Artificial Intelligence (AI) community. Unfortunately, they still remain a largely unrealized goal. The systems that have been developed are either prototypes, or involve only small knowledge domains. One of the main reasons for this situation is explained as the lack of domain specific models. While it is true that there are significant differences in the nature of the clinical knowledge and the diagnostic strategies used by expert clinicians across different medical subspecialties, this fact has been largely overlooked. In addition, Knowledge engineers who are not the domain experts have failed to capture the uniqueness, depth and the complexity of clinical reasoning. This has resulted in expert system models that are too generic and non-intuitive to clinicians. Psychiatry is characterized by its highly subjective and vague knowledge and reasoning process. Therefore generic models, which have not taken this into consideration, are particularly unsuitable for psychiatry. The authors have introduced an expert system model specific for psychiatry, in which diagnostic knowledge is described as a hierarchically organized set of entities through which diagnostic inference is made via a bottom-up approach. The relationships between the entities in diagnostic knowledge are described in terms of likelihoods and the degrees of severity using approximated mathematical functions. While this model highlights the need for domain specific models, it also gives insight to the implementation of similar approaches in other medical subspecialties. It is the intention that this model will be implemented as a web-based diagnostic consultation system.","PeriodicalId":336771,"journal":{"name":"2011 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing","volume":"20 9-10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132757071","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: 14