2014 IEEE International Conference on Computational Intelligence and Computing Research最新文献_第5页

An enhanced K-means genetic algorithms for optimal clustering 一种改进的k均值遗传算法用于最优聚类

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238422

M. Anusha, J. Sathiaseelan

引用次数: 17

Agent based simulation of routine activity with social learning behavior 基于智能体的日常活动与社会学习行为模拟

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238320

A. S

{"title":"Agent based simulation of routine activity with social learning behavior","authors":"A. S","doi":"10.1109/ICCIC.2014.7238320","DOIUrl":"https://doi.org/10.1109/ICCIC.2014.7238320","url":null,"abstract":"Routine activity theory and social learning theory are two most important aspects of criminal psychology. Routine activity theory states that criminal acts are caused due to the presence of criminals, victims and the absence of guardians in time and place. As the number of collision of these elements in place and time increases, criminal acts will also increase even if the number of criminals or civilians remains the same within the vicinity of a city. Street robbery is a typical example of routine activity theory and the occurrence of which can be predicted using routine activity theory. Agent-based models allow simulation of diversity among individuals. Therefore agent based simulation of street robbery can be used to visualize how chronological occurrences of human activity influence the incidence of street robbery. The conceptual model identifies three classes of people-criminals, civilians and police with certain activity areas for each. Police exist only as agents of formal guardianship. Criminals with a tendency for crime will be in the search for their victims. Civilians without criminal tendency can be either victims or guardians. These agents are subjected to random walk through a street environment guided by a Q-learning module and the possible outcomes are analyzed. Through the time period some civilian agents with a tendency to commit crime and have criminal background or criminal companions may turn into criminals. This phenomenon reflects social learning theory. The results compare gang and single robberies, robberies made on kids and women, tests on criminal social learning and comparison of different guardian patrolling strategies.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128269175","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

Comparison of LPCC and MFCC features and GMM and GMM-UBM modeling for limited data speaker verification LPCC和MFCC特征及GMM和GMM- ubm模型在有限数据说话人验证中的比较

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238329

Jayanthi Kumari, H. S. Jayanna

引用次数: 13

Towards OpenFlow based software defined networks 基于OpenFlow的软件定义网络

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238395

Pallavi Chhikara, G. Matharu, V. Deep

引用次数: 2

Adaptive hierarchical control for a class of MIMO uncertain underactuated systems 一类MIMO不确定欠驱动系统的自适应层次控制

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238353

A. Kulkarni, A. Kumar

引用次数: 1

An approach to discover the best-fit factors for the optimal performance of Hadoop map reduce in virtualized environment 一种在虚拟化环境下发现Hadoop map reduce最优性能的最适合因子的方法

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238471

Solaimurugan Vellaipandiyan, V. Srikrishnan

引用次数: 1

Optimal orthogonal pilots design for MIMO-OFDM channel estimation MIMO-OFDM信道估计的最佳正交导频设计

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238286

K. Sagar, P. Palanisamy

引用次数: 3

Performance evaluation of task scheduling with priority and non-priority in cloud computing 云计算中具有优先级和非优先级的任务调度性能评价

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238289

Nidhi Bansal, M. Dutta

引用次数: 7

A skew detection and correction technique for Arabic script text-line based on subwords bounding 基于子词边界的阿拉伯文文本行倾斜检测与校正技术

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238501

Atallah Al-Shatnawi

{"title":"A skew detection and correction technique for Arabic script text-line based on subwords bounding","authors":"Atallah Al-Shatnawi","doi":"10.1109/ICCIC.2014.7238501","DOIUrl":"https://doi.org/10.1109/ICCIC.2014.7238501","url":null,"abstract":"Text-line skew detection and correction is the first step in Arabic document recognition and analysis. It is a crucial pre-processing stage of Arabic Character Recognition (ACR). It has a direct effect on the dependability and efficiency of other system stages such as baseline detection, segmentation and feature extraction stages. In this paper an efficient skew detection and correction method for Arabic handwritten text-line based on sub-words bounding is presented. It is constructed from three stages including: pre-processing, skew detection and skew correction stages. The proposed method estimates a text-line baseline based on calculating the middle point for its sub-words bounding. Then align the text-line components on the estimated baseline. The proposed method is implemented on 3960 text-line handwritten images, which were written by 40 writers. It is discussed with the horizontal projection method in terms of effectiveness. The proposed method obtained an accuracy ratio of 96.15%, and takes 6.7 seconds as average time. It can also automatically detect text baselines of documents with any orientation.","PeriodicalId":187874,"journal":{"name":"2014 IEEE International Conference on Computational Intelligence and Computing Research","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125716888","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

Mining interesting itemsets from transactional database 从事务性数据库中挖掘感兴趣的项目集

2014 IEEE International Conference on Computational Intelligence and Computing Research Pub Date : 2014-12-01 DOI: 10.1109/ICCIC.2014.7238414

K. Sumangali, R. Aishwarya, E. Hemavathi, A. Niraimathi

引用次数: 2