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Knowledge Engineering Oriented Intelligent Expert System Development Platform 面向知识工程的智能专家系统开发平台
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.22
Song Tie-niu, Lin Ting-yu, Gu Mu, Chai Xu-dong, Li Tan, Fan Shuai, Liu Yan
{"title":"Knowledge Engineering Oriented Intelligent Expert System Development Platform","authors":"Song Tie-niu, Lin Ting-yu, Gu Mu, Chai Xu-dong, Li Tan, Fan Shuai, Liu Yan","doi":"10.1109/CIMSIM.2012.22","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.22","url":null,"abstract":"In this paper, an intelligent development platform based on \"one network, four bases and two engines\", which can be used to develop a so-called expert system (ES) is proposed. This paper aims to provide a universal, convenient development environment for the expert systems. A four-layer architecture that is closely integrated with the application is presented. Additionally, three service modes for the proposed platform are provided in this paper: knowledge query and search mode, knowledge-based fault diagnosis mode and knowledge engineering based collaborative solving mode. The three key technologies for the platform including knowledge representation technology, intelligent compiler technology and reasoning technology have been studied. Finally, an application example for an intelligent building expert system platform in fault diagnosis proves that the proposed platform is both effective and achievable in implementation.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116299705","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
Rethinking the Mitigation Phase in Software Risk Management Process: A Case Study 重新思考软件风险管理过程中的缓解阶段:一个案例研究
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.62
A. Khatavakhotan, S. H. Ow
{"title":"Rethinking the Mitigation Phase in Software Risk Management Process: A Case Study","authors":"A. Khatavakhotan, S. H. Ow","doi":"10.1109/CIMSIM.2012.62","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.62","url":null,"abstract":"Software risk management is a multi-phase process. An effective risk management approach leads to an optimum risk mitigation plan. However, the high rate of failures in IT projects shows the unsuccessfulness of the activities of risk mitigation. The reason is the existence of hidden and unseen threats and risks in the process, which are ignored in most of the models. The proposed model considered the typical phases of risk management while focused mostly on the mitigation phase. The model facilitates the development of risk mitigation plan called synthesized approach through four novel activities. The circumferential risks, arisen opportunities and amplified opportunities are determined. In order to verify the model, a case study has been done on an active industrial design company. Then the circumferential risks and opportunities were detected and prioritized based on the obtained values. The case study proves the model in practice and shows its applicability.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126104690","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
Comparison of D-Model and Wall-Attenuation Model for Signal Strength Estimations in Indoor Environment 室内环境中信号强度估计的d -模型与墙体衰减模型的比较
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.68
S. Latif, M. Ghazanfar, A. Memon, B. S. Chowdhry, J. Ahmed
{"title":"Comparison of D-Model and Wall-Attenuation Model for Signal Strength Estimations in Indoor Environment","authors":"S. Latif, M. Ghazanfar, A. Memon, B. S. Chowdhry, J. Ahmed","doi":"10.1109/CIMSIM.2012.68","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.68","url":null,"abstract":"Signal Strength estimation is important aspect for planning of wireless networks and for generating radio signal maps. There is a variety of approaches to estimate the signal strength in indoor environment that is broadly classified as empirical model based signal strength estimations and deterministic model based signal strength estimations. Empirical models are widely used models for the received signal strength mapping and estimations but they always have a problem of reduced accuracy. Wall attenuation models are considered to be the model widely used and the simplest models but it lacks the accuracy whereas D-model is a newly proposed model that is more précised but not fully mature model. This paper compares both these models in terms of accuracy of RSS estimations in indoor environment especially for obstacles like walls and floors.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124694579","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 Computer-Based System to Support Intelligent Forensic Study 支持智能法医研究的计算机系统
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.33
Marjan Mansourvar, M. Ismail, S. A. Kareem, R. G. Raj, Fariza H. Nassaruddin, R. Mahmud, Rukaini Abdullah, N. Idris
{"title":"A Computer-Based System to Support Intelligent Forensic Study","authors":"Marjan Mansourvar, M. Ismail, S. A. Kareem, R. G. Raj, Fariza H. Nassaruddin, R. Mahmud, Rukaini Abdullah, N. Idris","doi":"10.1109/CIMSIM.2012.33","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.33","url":null,"abstract":"A main challenge facing the law-enforcement and intelligence-gathering environment is accurately and efficiently analyzing the huge volumes of data. Analyzing crime data can be difficult because of recognizing key features and transactions among the large amounts of data, of which only a small section is relevant to illegal process. An intelligent forensic system (IFS) is a powerful medium that enables investigators, who may lack extensive training as data analysts, to assess large databases efficiently and rapidly. Computers can process thousands of transactions in seconds, saving time and manpower. Computers are also less prone to errors than humans. This research goal is to develop a computer-based system for crime data mining and analyzing multimedia data using physical evidence (fingerprints, DNA, dental, face or personal effects, etc.) in large databases to support intelligent forensic study.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115181163","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: 11
Universal Languages Recognition Algorithm: Adapting to Various Liguistics 通用语言识别算法:适应多种语言学
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.43
N. Garg
{"title":"Universal Languages Recognition Algorithm: Adapting to Various Liguistics","authors":"N. Garg","doi":"10.1109/CIMSIM.2012.43","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.43","url":null,"abstract":"This project proposes a new intelligent and efficient voice recognition algorithm that not only guarantees recognition of speech in any language but, also aims to remove the redundant noise from the external environment in day to day life, in a cost effective manner. It's another salient feature is its 'Customization' which allows user to lock on to the desired speaker and listener for it adaptively selects a set of optimal data based on parameters it had been learning over the time. Our study indicates that under the traditional voice recognition algorithm, the end-to-end data works on efficient use of a pre-made dictionary rather than creating its own. The proposed algorithm adapts itself to the speaker and listeners frequency variations and then finally locks on to both listener and speaker. Thus, removing the redundant noise. The algorithm made is called 'speak smart' which eventually creates a 'spectrum bank' and then finally amalgates itself with a couple of electronic software to give it a finished hardware touch, in practical sense. This paper therefore aims to introduce the new algorithm which is effective not only in speech processing application in different languages but, is also useful in Robotics application.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132363051","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
A Novel Multi-state Particle Swarm Optimization for Discrete Combinatorial Optimization Problems 离散组合优化问题中一种新的多态粒子群算法
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.46
I. Ibrahim, Z. Yusof, S. W. Nawawi, M. A. A. Rahim, K. Khalil, H. Ahmad, Z. Ibrahim
{"title":"A Novel Multi-state Particle Swarm Optimization for Discrete Combinatorial Optimization Problems","authors":"I. Ibrahim, Z. Yusof, S. W. Nawawi, M. A. A. Rahim, K. Khalil, H. Ahmad, Z. Ibrahim","doi":"10.1109/CIMSIM.2012.46","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.46","url":null,"abstract":"Particle swarm optimization (PSO) has been widely used to solve real-valued optimization problems. A variant of PSO, namely, binary particle swarm optimization (BinPSO) has been previously developed to solve discrete optimization problems. Later, many studies have been done to improve BinPSO in term of convergence speed, stagnation in local optimum, and complexity. In this paper, a novel multi-state particle swarm optimization (MSPSO) is proposed to solve discrete optimization problems. Instead of evolving a high dimensional bit vector as in BinPSO, the proposed MSPSO mechanism evolves states of variables involved. The MSPSO algorithm has been applied to two benchmark instances of traveling salesman problem (TSP). The experimental results show that the the proposed MSPSO algorithm consistently outperforms the BinPSO in solving the discrete combinatorial optimization problem.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132335137","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: 20
Polymer Core BGA Vertical Stress Loading Analysis 聚合物岩心BGA垂直应力加载分析
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.83
Z. Sauli, V. Retnasamy, S. Taniselass, A. Shapri, R. Hatta, M. Aziz
{"title":"Polymer Core BGA Vertical Stress Loading Analysis","authors":"Z. Sauli, V. Retnasamy, S. Taniselass, A. Shapri, R. Hatta, M. Aziz","doi":"10.1109/CIMSIM.2012.83","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.83","url":null,"abstract":"Tremendous effort is put into enhancing reliability of Ball grid array (BGA) solder joints. The BGAs are utilized as interconnection method in the electronic packaging industry due to its vast advancement in circuit miniaturization. New materials are introduced to further improve the reliability of the BGA solder joint. In this study, the stress response of BGA solder ball during vertical loading is scrutinized through simulation. The Micropearl BGA solder joint and normal BGA solder joint were utilized in this study for stress response comparison purpose. Both BGA models were subjected to vertical loading forces of 1N, 3N and 5N respectively. Ansys version 11 was employed for the simulation process. The normal BGA solder joint exhibited higher stress response when compared with the Micropearl BGA solder joint at all vertical loading force due to differences in the core structure.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"212 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122840727","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: 6
Musical Genre Classification Using Ensemble of Classifiers 使用合奏分类器的音乐类型分类
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.47
D. Chathuranga, L. Jayaratne
{"title":"Musical Genre Classification Using Ensemble of Classifiers","authors":"D. Chathuranga, L. Jayaratne","doi":"10.1109/CIMSIM.2012.47","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.47","url":null,"abstract":"Most automatic music genre classification researches have been focusing on combining information from different sources than the musical signal. This paper presents an ensemble approach for the automatic music genre classification problem using audio signal. The proposed approach uses two feature vectors, Support vector machine classifier with polynomial kernel function and a pattern recognition ensemble approach. More specifically, two feature sets for representing frequency domain, temporal domain, cepstral domain and modulation frequency domain audio features are proposed. The final genre classification is obtained from the set of individual results according to a weighting combination late fusion method. Music genre classification accuracy of 78% is reported on the GTZAN dataset over the ten musical genres. This approach shows that it is possible to improve the classification accuracy by using different types of domain based audio features.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116074976","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: 17
The Use of a Slice Feature Vector of Classifying Diffuse Lung Opacities in High-Resolution Computed Tomography Images 利用切片特征向量对高分辨率计算机断层扫描图像中的弥漫性肺不透明进行分类
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.14
Y. Mitani, Y. Fujita, N. Matsunaga, Y. Hamamoto
{"title":"The Use of a Slice Feature Vector of Classifying Diffuse Lung Opacities in High-Resolution Computed Tomography Images","authors":"Y. Mitani, Y. Fujita, N. Matsunaga, Y. Hamamoto","doi":"10.1109/CIMSIM.2012.14","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.14","url":null,"abstract":"The classification of diffuse lung opacities in high resolution computed tomography(HRCT) images is an important step for developing a computer-aided diagnosis(CAD) system. In designing the CAD system for classifying diffuse lung opacities in HRCT images, a histogram feature vector approach has been shown to be effective. In order to improve further the classification performance of the CAD system, we have explored another type of feature vector. Furthermore, the combination of these features may be used for lung opacities classification. In this paper, we have proposed the use of a slice feature vector. The experimental results show that the proposed method is promising.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128036653","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
License Plate Character Recognition via Signature Analysis and Features Extraction 基于特征分析和特征提取的车牌字符识别
2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2012-09-25 DOI: 10.1109/CIMSIM.2012.66
L. Angeline, W. Y. Kow, W. L. Khong, M. Y. Choong, K. Teo
{"title":"License Plate Character Recognition via Signature Analysis and Features Extraction","authors":"L. Angeline, W. Y. Kow, W. L. Khong, M. Y. Choong, K. Teo","doi":"10.1109/CIMSIM.2012.66","DOIUrl":"https://doi.org/10.1109/CIMSIM.2012.66","url":null,"abstract":"A new algorithm for license plate character recognition is proposed on the basis of Signature analysis properties and features extraction. Signature analysis has been used to locate license plate region and its properties can be further utilised in supporting and affirming the license plate character recognition. This paper presents the implementation of Signature Analysis combined with Features Extraction to form feature vector for each character with a length of 56. The recognition stage utilised this vector to be trained in a simple multi-layer feed-forward back-propagation neural Network with 56 inputs and 34 neurons in its output layer. The network is trained with both ideal and noisy characters. The results obtained show that the proposed system is capable to recognise both ideal and non-ideal license plate characters. The system also capable to tackle the common character declassification problems due to similarity in characters.","PeriodicalId":435030,"journal":{"name":"2012 Fourth International Conference on Computational Intelligence, Modelling and Simulation","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133112240","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: 7
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