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2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)最新文献

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A Novice Approach for Web Document Clustering Using FP Growth Based Fuzzy Particle Swarm Optimization 基于FP增长的模糊粒子群优化Web文档聚类新方法
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.36
Raja Varma Pamba, E. Sherly
{"title":"A Novice Approach for Web Document Clustering Using FP Growth Based Fuzzy Particle Swarm Optimization","authors":"Raja Varma Pamba, E. Sherly","doi":"10.1109/ISCMI.2016.36","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.36","url":null,"abstract":"The success of any Information Retrieval system relies upon extracting relevant pages of similar knowledge matching the requirements of the user. The traditional best of all statistical methodologies fails in conquering the issues of relevancy and redundancy of web pages retrieved. In this paper we propose a novel architecture, FP Growth based Fuzzy Particle swarm optimization which captures the dynamicity and fuzziness of web documents. With FPGrowth we attain a much lesser but frequent sets recurring repeatedly. Indirectly the FPGrowth reduce the redundancy of the search space. These reduced frequent sets are optimized efficiently with evolutionary nature inspired PSO algorithm. This scenario of divide and conquer strategy of FP Growth to reduce the list of transactions to frequent items and being optimised using FuzzyPSO is extended to web document clustering. The major contribution in this paper is the generation of number of clusters and frequent item sets(particles) achieved via FP Growth which in rest of all algorithms are user given and better optimized accuracy in retrieval using FuzzyPSO avoiding the limitation of local minima of FCM completely with the global and local search mechanism. The evaluation reveals an optimised results for the proposed hybrid approach.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131890880","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
Recognition on Matrix Angular Central Gaussian Distribution 矩阵角中心高斯分布的识别
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.39
Muhammad Ali, M. Antolovich
{"title":"Recognition on Matrix Angular Central Gaussian Distribution","authors":"Muhammad Ali, M. Antolovich","doi":"10.1109/ISCMI.2016.39","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.39","url":null,"abstract":"We demonstrate the standard approach of Maximum Likelihood Estimation (MLE) for practicability of Grassmann Angular Central Gaussian (GACG) distribution by using Grassmann manifold. Our main concern is then on the applicability of GACG for computer vision application e.g., classification on arbitrarily high dimensional Grassmannian space. We show by numerical experiments that the implementation of the proposed Grassmannian variate parametric model via MLE using simple Bayesian classifier is directly related to the accurate calculation of normalising constant naturally appearing with them. We verify the validity and performance of our proposed approach on two publicly available databases against the existing state of art techniques, where we observed that the classification accuracy of our proposed approach outperforms significantly.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125325238","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 Dual-Mode Helical Antenna Design for On-and Off-Body Communication in Body Sensor Networks 一种用于身体传感器网络上和离体通信的双模螺旋天线设计
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.18
Shaimaa M. Farghaly Sayed, O. Alani
{"title":"A Dual-Mode Helical Antenna Design for On-and Off-Body Communication in Body Sensor Networks","authors":"Shaimaa M. Farghaly Sayed, O. Alani","doi":"10.1109/ISCMI.2016.18","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.18","url":null,"abstract":"Body Sensor Networks (BSNs) are mainly concerned with the human body. There are many restrictions concerning the sensor antenna design placed on/in the body due to harmful effects that may take place due to high power levels. Therefore, a dual-mode helical antenna resonating at the 2.4 GHz ISM band for medical application is proposed in this paper. The design includes two helices (normal and axial modes) acting as a single antenna with single feed. This combination gives the capability of serving both on-and off-body communication modes to enhance body coverage and reduce power consumption. The antenna is of a wide band from 2.2 GHz and extending beyond the 10 GHz of maximum gain of 9.67 dBi at the 2.45 GHz. The simulation results are obtained using the Ansoft HFSS software. Finally, another design of the dual-mode helix is presented using a dual-feed to give the flexibility of switching between communication modes (on-and off-body) as required.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123645393","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
Parametric Analysis, Modeling and Optimization of Surface Roughness during EDAG Using CBN Abrasive CBN磨料EDAG表面粗糙度参数分析、建模与优化
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.28
P. Shrivastava, A. K. Dubey
{"title":"Parametric Analysis, Modeling and Optimization of Surface Roughness during EDAG Using CBN Abrasive","authors":"P. Shrivastava, A. K. Dubey","doi":"10.1109/ISCMI.2016.28","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.28","url":null,"abstract":"Electrical discharge abrasive grinding (EDAG) of ferrous alloys such as high speed steel and high carbon steel, using diamond abrasive demonstrates poor machining performance. The chemical affinity of diamond towards the ferrous alloys is the main reason for the same. In the present research, the performance of cubic boron nitride (CBN) abrasive has been investigated. The parametric analysis, modeling and optimization of one of the important quality characteristics, surface roughness (SR), during EDAG of high speed steel using CBN abrasive, have been discussed. Artificial neural network (ANN) has been used for modeling of SR. Further, hybrid approach of artificial neural network (ANN) and genetic algorithm have been applied during single objective optimization of SR.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115123389","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 Best-Effort Fibrin Strand Detection Algorithm 一种最优纤维蛋白链检测算法
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.25
R. Koen, A. Engelbrecht, E. Pretorius
{"title":"A Best-Effort Fibrin Strand Detection Algorithm","authors":"R. Koen, A. Engelbrecht, E. Pretorius","doi":"10.1109/ISCMI.2016.25","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.25","url":null,"abstract":"Blood coagulation plays an important part in a healthy haematological system. As part of the coagulation process, fibrin networks are formed from the circulating plasma proteins, called fibrinogen, forming a blood clot. During inflammation, the healthy clotting process is changed, and is translated to hypercoagulation, which is a hallmark of all inflammatory conditions. Hypercoagulation impacts directly on the structure on the fibrin fibre networks, as circulating inflammatory molecules bind and change fibrinogen molecules. There is currently no method, other than a manual process to analyse fibrin networks to study the ultrastructural patterns of healthy versus pathological clotting profiles. This precise process is time consuming and automation is required for faster and accurate results. This paper proposes a best-effort fibrin detection and measurement method to detect fibrin strands in digital microscopy images and to measure their diameters. A prototype has been developed using the described method, having the ability to identify and accurately measure fibrin strands. The fibrin strand diameters measured by the fibrin strand detection algorithm are consistent with results documented in literature indicating that the measurements are performed correctly and accurately.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123400209","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
Efficient Exploration of Biological Data Using Semantic Web Compatible Databases 使用语义Web兼容数据库高效探索生物数据
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.23
Nazar Zaki, Chandana Tennakoon
{"title":"Efficient Exploration of Biological Data Using Semantic Web Compatible Databases","authors":"Nazar Zaki, Chandana Tennakoon","doi":"10.1109/ISCMI.2016.23","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.23","url":null,"abstract":"There are over 1600 publicly available biological databases, and this number is growing at a steady rate. These databases are not in a uniform format, however, web-based technologies can be employed to integrate them. One of the key steps in enabling semantic web techniques is to convert these databases into a uniform format, for example, that of the Resource Description Framework (RDF). There are already several biological databases available in RDF format. However, some of the major databases are only found in custom formats. In this paper, we review the methods that are available to explore biological databases in RDF format. We also review current projects that facilitate the conversion of biological data into RDF format. We will identify the strengths and weaknesses of the current exploratory methods and suggest improvements that will enable both novice and expert users to search biological databases more effectively.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121061004","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
Fuzzy Reliability Estimation Using Chi-Squared Distribution 基于卡方分布的模糊可靠性估计
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.53
Indu Uprety, Kalika Patrai
{"title":"Fuzzy Reliability Estimation Using Chi-Squared Distribution","authors":"Indu Uprety, Kalika Patrai","doi":"10.1109/ISCMI.2016.53","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.53","url":null,"abstract":"In traditional reliability analysis, the failure rate probabilities of components of a system are considered as exact values. But in real world application there exist uncertainty in failure data obtained from historical data or personal judgment. In this paper the fuzzy reliability of a repairable system comprising of four independent and identical modules is estimated, where the failure rate for each module is assumed to follow an exponential distribution. To handle the uncertainty in calculation of failure rates, these parameters are estimated through a fuzzy triangular number. These fuzzy numbers can be calculated by using point estimation and %(1-β) confidence interval of failure-rate parameters. A numerical example is given to illustrate the procedure and validate the result.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"553 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116516755","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 Novel Approach of Feature Vector Design for Financial Information Extraction Using Supervised Learning 基于监督学习的金融信息提取特征向量设计新方法
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.50
M. Dadhich, James G. Lewis
{"title":"A Novel Approach of Feature Vector Design for Financial Information Extraction Using Supervised Learning","authors":"M. Dadhich, James G. Lewis","doi":"10.1109/ISCMI.2016.50","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.50","url":null,"abstract":"Financial information extraction from big financial reports is a tedious task. This paper speaks about page-wise feature generation and applying learning algorithms for identifying financial information (balance sheets, cash flows, and income statements) in Form 10-K or annual reports of companies. Balance sheets, cash flows, and income statements have some structure in them and are semi-structured information. This approach employs selection of unigrams and bigrams based on frequency of occurrence and expert advice, generation of page wise features, and applying learning models for identifying patterns of specific financial information. Different supervised learning models are applied yielding results with very high accuracy (greater than 99%).","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115570460","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
Using Custom Fuzzy Thesaurus to Incorporate Semantic and Reduce Data Sparsity for Twitter Sentiment Analysis 使用自定义模糊同义词库合并语义并减少Twitter情感分析的数据稀疏性
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.56
Heba M. Ismail, Nazar Zaki, B. Belkhouche
{"title":"Using Custom Fuzzy Thesaurus to Incorporate Semantic and Reduce Data Sparsity for Twitter Sentiment Analysis","authors":"Heba M. Ismail, Nazar Zaki, B. Belkhouche","doi":"10.1109/ISCMI.2016.56","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.56","url":null,"abstract":"Considerable research efforts have been devoted to Twitter sentiment analysis in recent years. Given the informal writing style of Twitter, there exists an endless variety of sound vocabulary, slogans, emoticons and special characters that can be used to express one's opinion in a maximum of 140-characters. This results in a sparsity problem making the training of machine learning classifiers from Twitter data a highly challenging task. In this work we propose using sentiment replacement of Twitter slogans and incorporating a fuzzy thesaurus for twitter sentiment classification in order to incorporate semantic as well as solve the sparsity problem. The experimental results show that the proposed method consistently outperforms the baselines in addition to some methods in the literature.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"230 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123247758","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
ToolSEG: A Tool for DNA Copy Number Segmentation ToolSEG: DNA拷贝数分割工具
2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI) Pub Date : 2016-11-01 DOI: 10.1109/ISCMI.2016.13
Z. Liu, Ming Sun, Jun Ruan, Junqiu Yue
{"title":"ToolSEG: A Tool for DNA Copy Number Segmentation","authors":"Z. Liu, Ming Sun, Jun Ruan, Junqiu Yue","doi":"10.1109/ISCMI.2016.13","DOIUrl":"https://doi.org/10.1109/ISCMI.2016.13","url":null,"abstract":"To perform segmentation to identify regions of constant copy number is an important key for discovering structural variation in the human genome. It calls for a uniform pipeline to integrate various segmentation methods in a flexible software toolbox for conveniently evaluating outcome. We propose such toolbox and implement an open source Java package called ToolSEG to generate realistic DNA copy number profiles with known truth. Five typical methods have been assessed on synthetic data and real copy number profiles: HMM, CBS, PCF, Lasso, CLT.","PeriodicalId":417057,"journal":{"name":"2016 3rd International Conference on Soft Computing & Machine Intelligence (ISCMI)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122838797","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
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