2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE)最新文献_第3页

Bee Colony Algorithm application for manipulating metalcastings in SME 蜂群算法在中小企业金属铸件操纵中的应用

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162131

R. Wadhwa

引用次数: 0

Offline handwritten character recognition using neural network 基于神经网络的离线手写字符识别

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162113

Anshul Gupta, M. Srivastava, C. Mahanta

{"title":"Offline handwritten character recognition using neural network","authors":"Anshul Gupta, M. Srivastava, C. Mahanta","doi":"10.1109/ICCAIE.2011.6162113","DOIUrl":"https://doi.org/10.1109/ICCAIE.2011.6162113","url":null,"abstract":"Character Recognition (CR) has been an active area of research in the past and due to its diverse applications it continues to be a challenging research topic. In this paper, we focus especially on offline recognition of handwritten English words by first detecting individual characters. The main approaches for offline handwritten word recognition can be divided into two classes, holistic and segmentation based. The holistic approach is used in recognition of limited size vocabulary where global features extracted from the entire word image are considered. As the size of the vocabulary increases, the complexity of holistic based algorithms also increases and correspondingly the recognition rate decreases rapidly. The segmentation based strategies, on the other hand, employ bottom-up approaches, starting from the stroke or the character level and going towards producing a meaningful word. After segmentation the problem gets reduced to the recognition of simple isolated characters or strokes and hence the system can be employed for unlimited vocabulary. We here adopt segmentation based handwritten word recognition where neural networks are used to identify individual characters. A number of techniques are available for feature extraction and training of CR systems in the literature, each with its own superiorities and weaknesses.We explore these techniques to design an optimal offline handwritten English word recognition system based on character recognition. Post processing technique that uses lexicon is employed to improve the overall recognition accuracy.","PeriodicalId":132155,"journal":{"name":"2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134467207","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: 25

Performance analysis of MSK and MSK-OFDM in Nakagami-m channel Nakagami-m信道中MSK和MSK- ofdm性能分析

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162195

C. Mohd Din, R. Mohamad, W. Mansor

引用次数: 1

PSO ingrained Artificial Bee Colony algorithm for solving continuous optimization problems 基于粒子群算法的人工蜂群算法求解连续优化问题

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162114

T. Sharma, M. Pant, Tushar Bhardwaj

{"title":"PSO ingrained Artificial Bee Colony algorithm for solving continuous optimization problems","authors":"T. Sharma, M. Pant, Tushar Bhardwaj","doi":"10.1109/ICCAIE.2011.6162114","DOIUrl":"https://doi.org/10.1109/ICCAIE.2011.6162114","url":null,"abstract":"Artificial Bee Colony (ABC) algorithm is one approach that has been used to find an optimal solution in numerical optimization problems. This algorithm is inspired by the foraging behavior of honey bees when seeking a quality food source. ABC can sometimes trap into local optimum and also slow to converge. In ABC, the employed bees and onlooker bees carry out exploration and exploitation use the same equation. Obviously, the performance of ABC greatly depends on single equation. To enrich the searching behavior and to avoid being trapped into local optimum, PSO is incorporated into the ABC. In order to improve the algorithm performance, we present a modified method for solution update of the employed as well as onlooker bees in this paper. The proposed variants are termed as EABC-PSO and OABC-PSO. To show the performance of our proposed variants, experiments are carried out on a set of well-known benchmark problems. Simulation results and comparisons with the standard ABC and PSO show that the proposed variants can effectively enhance the searching efficiency and greatly improve the searching quality.","PeriodicalId":132155,"journal":{"name":"2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE)","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115926502","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: 21

An analysis of EEG signal generated from grasping and writing 抓写时脑电信号的分析

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162192

C. Fadzal, W. Mansor, L. Khuan

引用次数: 19

Workplace built environment: Underpinning the incentive structure for K-workers in the public sector 工作场所建筑环境:公共部门k -工人激励结构的基础

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162133

S. K. A. Omar, Rugayah Hashim

引用次数: 0

A 0.5 V quasi-floating-gate (QFG) inverter-based class-AB gain-bandwidth independent amplifier 基于0.5 V准浮门(QFG)逆变器的ab类增益带宽无关放大器

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162139

A. Suadet, V. Kasemsuwan

引用次数: 4

Advanced Differential Evolution algorithm for global numerical optimizatiom 全局数值优化的先进差分进化算法

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162123

Ali Wagdy Mohamed, Hegazy Zaher Sabry, Adel Farhat

{"title":"Advanced Differential Evolution algorithm for global numerical optimizatiom","authors":"Ali Wagdy Mohamed, Hegazy Zaher Sabry, Adel Farhat","doi":"10.1109/ICCAIE.2011.6162123","DOIUrl":"https://doi.org/10.1109/ICCAIE.2011.6162123","url":null,"abstract":"In this paper, we present an advanced differential evolution (ADE) algorithm for solving global unconstrained optimization problems. In the new algorithm, a new directed mutation rule is introduced based on the weighted difference vector between the best and the worst individuals at a particular generation. The mutation rule is combined with the basic mutation strategy through a linear decreasing probability rule. This modification is shown to enhance the local search ability of the basic DE and to increase the convergence rate. Two new scaling factors are introduced as uniform random variables to improve the diversity of the population and to bias the search direction. Additionally, a dynamic non-linear increased crossover probability scheme is utilized to balance the global exploration and local exploitation. Furthermore, a random mutation scheme and a modified Breeder Genetic Algorithm (BGA) mutation scheme are merged to avoid stagnation and/or premature convergence. Numerical experiments and comparisons on a set of well-known high dimensional benchmark functions indicate that the improved algorithm outperforms and is superior to other existing algorithms in terms of final solution quality, success rate, convergence rate, and robustness.","PeriodicalId":132155,"journal":{"name":"2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126026700","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

Deployment of MICAz mote for Wireless Sensor Network applications 无线传感器网络应用MICAz mote的部署

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162150

N. A. Ali, M. Drieberg, P. Sebastian

引用次数: 32

Grayscale medical image compression using feedforward neural networks 基于前馈神经网络的灰度医学图像压缩

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE) Pub Date : 2011-12-01 DOI: 10.1109/ICCAIE.2011.6162211

W. K. Yeo, D. Yap, T. H. Oh, D. P. Andito, Swee Leong Kok, Y. Ho, M. K. Suaidi

引用次数: 19