发布求助
文献互助 智能选刊 最新文献

2011 First International Conference on Informatics and Computational Intelligence最新文献

筛选
英文 中文
An Intelligent System Framework for an Automated Language Tutoring Tool 一种自动化语言辅导工具的智能系统框架
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.29
Chandhya Thirugnanasambantham
{"title":"An Intelligent System Framework for an Automated Language Tutoring Tool","authors":"Chandhya Thirugnanasambantham","doi":"10.1109/ICI.2011.29","DOIUrl":"https://doi.org/10.1109/ICI.2011.29","url":null,"abstract":"Automated learning methodologies employing intelligent systems, have become increasingly popular in the internet due to advancements in the field of machine learning. In our paper, we examine the case of intelligent language tutoring system (ILTS), which has helped increase productivity and reduce overhead costs by automating teaching processes. However, current ILTSs are restrictive when it comes to integrating functionalities such as context-based understanding, and allowing text input from user. This paper proposes a framework, incorporated into an intelligent language tutoring system, based on a string search algorithm that extracts only vital word patterns from a pre-defined 'items bank'. This ensures that only required Basic English patterns are acquired, thereby facilitating the system to deliver accurate context based results and handle advanced structures with ease. Comprehensive evaluation of the system's performance indicates the system has proven to be efficient and robust structure, providing favorable alternatives to Natural Language Processing (NLP) systems.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131546406","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
An Optimized Search Algorithm for Resource Discovery in Peer to Peer Grid 点对点网格中资源发现的优化搜索算法
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.14
Hossein Boroumand Noghabi, A. Ismail, Aboamama Atahar Ahmed, M. Khodaei
{"title":"An Optimized Search Algorithm for Resource Discovery in Peer to Peer Grid","authors":"Hossein Boroumand Noghabi, A. Ismail, Aboamama Atahar Ahmed, M. Khodaei","doi":"10.1109/ICI.2011.14","DOIUrl":"https://doi.org/10.1109/ICI.2011.14","url":null,"abstract":"One of the challenges for resource discovery in unstructured peer to peer grid is the minimizing of network traffic that is produced by query messages which are broadcasted to other nodes to find appropriate resources in the grid. These methods do not work well because each specific query generates a large amount of network traffic, and network is quickly saturated by the query messages. This study is proposed a genetic algorithm to find the required resources in peer to peer grid. This method prevents the massive flooding of the network traffic and decreasing query messages by using the restricted and optimized flooding. We compare our method with traditional approaches. Obtained results show that proposed method decreases the network traffic.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122181510","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: 3
Support Vector Machine Classifier for Pattern Recognition 模式识别的支持向量机分类器
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.52
Mohammad Farhan, Ghulam Kassem, Mujeeb Abdullah, Siddique Akbar
{"title":"Support Vector Machine Classifier for Pattern Recognition","authors":"Mohammad Farhan, Ghulam Kassem, Mujeeb Abdullah, Siddique Akbar","doi":"10.1109/ICI.2011.52","DOIUrl":"https://doi.org/10.1109/ICI.2011.52","url":null,"abstract":"Automatiuc speech recognition is carried out by Mel-frequency cepstral coefficient (MFCC). Linearly-spaced at low and logarithmic-spaced filters at higher frequencies are used to capture the characteristics of speech. Multi-layer perceptrons (MLP) approximate continuous and non-linear functions. High dimensional patterns are not permitted due to eigen-decomposition in high dimensional image space and degeneration of scattering matrices in small size sample. Generalization, dimensionality reduction and maximizing the margins are controlled by minimizing weight vectors. Results show good pattern by SVM algorithm with Mercer kernel.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117247003","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
Optimal Location and Sizing of SVC Using Particle Swarm Optimization Technique 基于粒子群优化技术的SVC定位与尺寸优化
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.58
S. A. Jumaat, I. Musirin, Muhammad Mutadha Othman, H. Mokhlis
{"title":"Optimal Location and Sizing of SVC Using Particle Swarm Optimization Technique","authors":"S. A. Jumaat, I. Musirin, Muhammad Mutadha Othman, H. Mokhlis","doi":"10.1109/ICI.2011.58","DOIUrl":"https://doi.org/10.1109/ICI.2011.58","url":null,"abstract":"This paper describes optimal location and sizing of static var compensator (SVC) based on Particle Swarm Optimization for minimization of transmission losses considering cost function. Particle Swarm Optimization (PSO) is population-based stochastic search algorithms approaches as the potential techniques to solving such a problem. For this study, static var compensator (SVC) is chosen as the compensation device. Validation through the implementation on the IEEE 30-bus system indicated that PSO is feasible to achieve the task. The simulation results are compared with those obtained from Evolutionary Programming (EP) technique in the attempt to highlight its merit.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"17 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114085273","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
Extraction of Haralick Features from Segmented Texture Multispectral Bio-Images for Detection of Colon Cancer Cells 分割纹理多光谱生物图像的Haralick特征提取用于结肠癌细胞检测
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.20
A. Chaddad, C. Tanougast, A. Dandache, A. Bouridane
{"title":"Extraction of Haralick Features from Segmented Texture Multispectral Bio-Images for Detection of Colon Cancer Cells","authors":"A. Chaddad, C. Tanougast, A. Dandache, A. Bouridane","doi":"10.1109/ICI.2011.20","DOIUrl":"https://doi.org/10.1109/ICI.2011.20","url":null,"abstract":"The automatic recognition and classification of biomedical objects can enhance work efficiency while identifying new inter-relationships among biological features, in this paper Haralick's features based GLCM are applied for classification of cancer cell of textured bio-images. The objective of this work is the selection of the most discriminating parameters for cancer cells. A new approach aiming to detect and classify colon cancer cells is presented. Our detection approach was derived from the \"Snake\" method but using a progressive division of the dimensions of the image to achieve faster segmentation. The time consumed during segmentation decrease to more than 50%. The efficiency of this method resides in its ability to segment Carcinoma (Ca) type cells that was difficult through other segmentation procedures. Classification of three cell types was based on five Haralicks features, only three Haralicks features were used to assess the efficiency classifications models, including Benign Hyperplasia (BH), Intraepithelial Neoplasia (IN) that is a precursor state for cancer, and Ca that corresponds to abnormal tissue proliferation (cancer). The analysis results show that three parameters (correlation, entropy and contrast) were found to be effective to discriminate between the three types of cells. The results obtained show the efficacy of the method.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128403391","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
Improved Harmony Search Algorithm for Optimal Placement and Sizing of Static Var Compensators in Power Systems 电力系统中静态无功补偿器的优化布局和优化尺寸的改进和谐搜索算法
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.71
R. Sirjani, A. Mohamed
{"title":"Improved Harmony Search Algorithm for Optimal Placement and Sizing of Static Var Compensators in Power Systems","authors":"R. Sirjani, A. Mohamed","doi":"10.1109/ICI.2011.71","DOIUrl":"https://doi.org/10.1109/ICI.2011.71","url":null,"abstract":"Static Var compensator (SVC) is normally used in power system to improve voltage profile and reduce system power losses. In this paper, a relatively new optimization technique named as the improved harmony search algorithm (IHS) is applied to determine optimal location and size of SVC devices in a transmission network. A multi-criterion objective function comprising of both operational objectives and investment costs is considered. The results on the 57-bus test system showed that the IHS algorithm give lower power loss and better voltage improvement compared to the particle swarm optimization technique in solving the SVC placement and sizing problem.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130084301","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: 19
Creating Networking Adaptive Interactive Hybrid Systems: A Methodic Approach 创建网络自适应交互式混合系统:一种方法方法
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.32
L. Kester
{"title":"Creating Networking Adaptive Interactive Hybrid Systems: A Methodic Approach","authors":"L. Kester","doi":"10.1109/ICI.2011.32","DOIUrl":"https://doi.org/10.1109/ICI.2011.32","url":null,"abstract":"Advances in network technologies enable distributed systems, operating in complex physical environments, to co-ordinate their activities over larger areas within shorter time intervals. Some envisioned application domains for such systems are defense, crisis management, traffic management, public safety and security, defense and smart infrastructures. In these systems, humans and intelligent machines will, in close interaction, be able to adapt their behavior under changing conditions and situations to reach their goals. Various architecture models are proposed for such systems from different research areas such as sensor web technology, data fusion, command and control, cognitive systems, multi agent systems, complex adaptive systems and cyber physical systems. However, most of these models only cover part of the system, are too much focused on specific research areas and use different design principles. In this papers the latest developments of a method for designing these Networking Adaptive Interactive Hybrid (human-machine) Systems is presented, paving the way to efficient and effective design and operation.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129008673","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
Condition Monitoring System for Induction Motor Using Fuzzy Logic Tool 基于模糊逻辑工具的异步电动机状态监测系统
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.11
J. B. Janier, M. Zaharia
{"title":"Condition Monitoring System for Induction Motor Using Fuzzy Logic Tool","authors":"J. B. Janier, M. Zaharia","doi":"10.1109/ICI.2011.11","DOIUrl":"https://doi.org/10.1109/ICI.2011.11","url":null,"abstract":"Condition monitoring (CM) is a process which monitors the condition of equipment throughout its serviceable life in order to opt for Predictive Maintenance (PdM). This approach is based on the equipment's condition to determine at which point during future maintenance activities will be necessary. Implementing PdM will result in substantial cost savings and higher system reliability. This paper is focused on developing a computer based system applying Fuzzy Logic in order to identify and estimate the condition of an induction motor. Based on the vibration analysis characteristics of the motor, an unusual increase in the vibration could be an indicator of faulty condition. An inference system of the Fuzzy Logic was created and was able to classify the motor as 'acceptable' of the vibration ranges from 1.8mm/s to 4.5 mm/s or 'monitor closely' of the vibration ranges from 4.5 mm/s to 7.1 mm/s respectively. Early detection of unusual vibration increase of the motor is an important part of predictive maintenance (PdM).","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131968770","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: 10
Indexing and Retrieval of Images Using Wavelets - Segmentation Using Bisecting K-Means Clustering 基于小波的图像索引与检索——基于分割k均值聚类的分割
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.46
V. Natarajan
{"title":"Indexing and Retrieval of Images Using Wavelets - Segmentation Using Bisecting K-Means Clustering","authors":"V. Natarajan","doi":"10.1109/ICI.2011.46","DOIUrl":"https://doi.org/10.1109/ICI.2011.46","url":null,"abstract":"Using images as identity tool is being implemented in various applications. Images like iris pattern, thumb impressions are being used as identity tools for persons. A sophisticated algorithm is required to index and retrieve appropriate image when queried with a target image. This paper discusses one such image indexing algorithm using wavelets. The images are segmented using Bisecting K-Means algorithm in wavelet domain. It is used to find out appropriate segments in the images and helps for further processing. Feature vectors are extracted and stored in the database for querying and retrieval purpose. Query image is also processed in the same method and the feature vector is extracted. This vector is compared against vectors stored in the database and relevant images are retrieved based on the similarity value.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121461967","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
Conflicting Management of Transactions in Real Time Database System 实时数据库系统中事务冲突管理
2011 First International Conference on Informatics and Computational Intelligence Pub Date : 2011-12-12 DOI: 10.1109/ICI.2011.60
Yumnam Jayanta, Yumnam Somananda
{"title":"Conflicting Management of Transactions in Real Time Database System","authors":"Yumnam Jayanta, Yumnam Somananda","doi":"10.1109/ICI.2011.60","DOIUrl":"https://doi.org/10.1109/ICI.2011.60","url":null,"abstract":"Transactions in real time distributed database systems should be scheduled considering both data consistency and timing constraints. Proper management of transactions is required during the arrival, execution or other phases of transactions. In this paper we describe some mechanisms to improve the performance of such a system. Synchronizer is used to enforce the serialization order among the arriving and executing transactions. For the transactions held up by one or more locks, a prioritizing mechanism is used to manage the conflicting among them. Some transaction does not need to participate in all the phases, if they don't have any assignment to perform. Details of such transactions are updated in an early notification log file and processing time is saving during each phases of transactions. This helps the system increase the proficiency and throughput solving the conflicts among the transactions.","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132234685","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
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：604180095
Book学术官方微信