{"title":"An Energy Efficient Binarization Algorithm Based on 2-D Intelligent Block Detection for Complex Texture and Gradient Color Images","authors":"Chia-Shaud Hong, Yen-Hsiang Chen, S. Ruan","doi":"10.1109/ICGEC.2012.50","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.50","url":null,"abstract":"Image binarization involves converting gray-level images into binary ones, which has significantly impacted on intelligent portable devices in recent years. Given the limited memory space and computational power of portable devices, reducing the computational complexity of algorithms which work on embedded systems is of priority concern. This paper proposes a 2-D intelligent block detection algorithm with more accurate region segmentation for document image binarization. By combining merits of global and local algorithms, the proposed approach provides an effective outcome and a low computational cost. As demonstrated by the experimental results, the proposed algorithm is slower than Otsu's method but 275 times faster than local methods.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126185921","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}
{"title":"Symbolic Small-Signal Analysis of Various Amplifiers","authors":"Hung-Yu Wang, Tsair-Fwu Lee, Cing-Wen Yang, Edward Soto, Wei-Chun Lin, Shun-Hsyung Chang","doi":"10.1109/ICGEC.2012.137","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.137","url":null,"abstract":"The null or equivalent of the transistor (MOSFET) with its second-order effects consideration is presented in this article. It can be used to perform symbolic small-signal analysis for various amplifiers. to obtain the simplified expressions of the transfer functions of amplifiers, only the dominant parasitic elements are considered in the analysis. the analyzed results are consistent with the analyzed results derive from the generic method using controlled sources models. the proposed approach provides the alternative of small-signal circuit analysis.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116610258","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}
{"title":"Improved Reversible Data Hiding Based on Residue Histogram Shifting","authors":"Wen-Chuan Wu, Yu-Chieh Wu","doi":"10.1109/ICGEC.2012.104","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.104","url":null,"abstract":"This paper proposes an improved reversible data hiding method for grayscale images. Specifically, this method integrates the superiority of two existing schemes to improve secret data capacity. the main idea of this method is to classify image blocks into smooth or complex ones and then to implement disparate reversible data hiding schemes on them. in data embedding process, our hybrid method uses difference expansion transform and residue histogram shifting to carry secret data adaptively without any distortions. Experimental results show that the proposed method improves the problem of low capacity for complex image from 0.02 to 0.39 bpp. at the same time, it indeed provides a good image quality of PSNR in comparisons with previous methods.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117090133","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}
{"title":"Target-Preserving Content-Aware Image Resizing","authors":"Cheng-Hung Chuang, Zhonghai Shi","doi":"10.1109/ICGEC.2012.138","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.138","url":null,"abstract":"This paper presents an automatic target-preserving content-aware image resizing method for displaying image with different aspect ratios. the method computes a saliency map which describes the attractive and unattractive regions in an image by the saliency-based visual attention model. then a thresholding technique is applied to detect important target regions on the saliency map. the method uses an average strategy to calculate the height of each row and the width of each column outside the important regions. Next an interpolation technique is used to resize the image to its target size. Experimental results show that the proposed image resizing method is capable of preserving important target without deformation.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128376487","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}
{"title":"A Hierarchical Approach for Clustering and Pattern Matching of Gene Expression Data","authors":"S. Hoque, Salim Istyaq, M. S. Riaz","doi":"10.1109/ICGEC.2012.16","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.16","url":null,"abstract":"Clustering data is a well-known and challenging problem that has been widely studied in data base analysis. This paper shows how it made possible in genetic engineering to observe simultaneously the expression levels of huge genes during important genetic processes and identifies similar pattern genes and maximum matching regulation genes. This paper presents simple and static method to find regulation of gene from statistical gene expression data, comparison of regulation of genes and then form clusters with genes having similar regulation. Also extracts sub clusters from big cluster and perform hierarchical analysis. Finding coherent patterns or means from sub-clusters and by comparing sub cluster genes with coherent pattern it refines clusters and form fine clusters. This is a simple gradient base technique of finding regulation, hence it easily removes noisy genes. This technique relates bottom up approach. Also this process relates Density-Based clustering approach, hence can be done using density estimation. This scheme can extract clusters efficiently with reduced number of comparisons. Extracting the patterns from large genetic data enhances identification of similar characteristic genes and variety of hidden information about genes. Grouping similar data in large dimension spaces is to hidden pattern or meaningful subgroups have many applications in biological and other fields.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"361 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124546304","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}
Ming-Zhi Wu, Wei-Tsong Lee, Ren-Ji Liao, George Chang
{"title":"Development and Validation on Integrated Dynamic Security Monitoring Platform","authors":"Ming-Zhi Wu, Wei-Tsong Lee, Ren-Ji Liao, George Chang","doi":"10.1109/ICGEC.2012.80","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.80","url":null,"abstract":"In recent years, the home automation has seen a rapid introduction of network enabled digital technology. Home automation offers new opportunities to increase the connectivity of devices within the home for the purpose of home safety. Home automation has been a trend linking to a wide range of home appliances through the local area network(LAN) and also saves energy, improving the quality of life. in this paper, we use Zigbee based home automation system and Wi-Fi network are inregrated through a common ARM board and personal computer.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129037252","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}
{"title":"Application of Belief Learning Model Based Socio-rational Secret Sharing Scheme on Cloud Storage","authors":"Tao Zheng, Haitong Wu, H. Lin, Jeng-Shyang Pan","doi":"10.1109/ICGEC.2012.63","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.63","url":null,"abstract":"In this paper, we present a hybrid socio-rational secret sharing scheme, which is based on a belief learning model. Using this model, the player can learn the probabilities of the other players' likely action, upon which the player can responsively choose his next counter action(s) with the expected probabilities. Finally, we exploit the application of our proposed scheme in secured cloud storage.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121389094","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}
{"title":"Vision-Based Coordinate Transformation with Back Propagation Neural Networks on Mobile Robots","authors":"Chiung-Hui Tsai, Chih-Hung Wu, You-Dong Huang","doi":"10.1109/ICGEC.2012.151","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.151","url":null,"abstract":"Target tracking is important for vision-based robots to implement tasks of grasping, assembling and avoiding obstacles. the purpose of a target tracking system is to identify a target and then to estimate the position of the target. the targets' positions are usually described by various coordinate systems for different purposes. This study focuses on the problem of coordinate transformation on mobile robots and employs the techniques of Back-Propagation Neural Networks to discover the prediction models. with such prediction models, coordinate transformation can be done with less processing time. the techniques have been implemented and integrated with a four-wheeled vision-based security robot and has been verified in real environments. the experimental results show that the proposed method is able to produce simple and precise transformation models and improves the robot's performances.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130393597","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}
{"title":"A Smartphone-Based Chinese DAISY Digital Talking Book Player for Visually Impaired","authors":"Yuan-Hsiang Lin, Yuan-Chang Hsu, Yuan-Ya Kao","doi":"10.1109/ICGEC.2012.34","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.34","url":null,"abstract":"A \"Chinese DAISY Reader\" based on the Android smart phone was designed and developed. the main functions of this device include DAISY digital talking book player, bookmark add and access, as well as voice record and play. This paper describes a user interface with an easy-to-distinguish layout, auditory output and gestural input that enables visually impaired subjects to interact with touch screen on the smart phone. a usability study was also reported that the user interface of this DAISY reader is easy-to-use and acceptable for visually impaired.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130808139","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}
{"title":"A Robust Texture-Based Background Subtraction Algorithm for Moving Object Detection in Video Sequences","authors":"Chen-Sen Ouyang, Ping Chen","doi":"10.1109/ICGEC.2012.32","DOIUrl":"https://doi.org/10.1109/ICGEC.2012.32","url":null,"abstract":"In this paper, we propose a robust texture-based background subtraction algorithm for moving object detection in video sequences. A robust texture descriptor so-called local fuzzy pattern (LFP) histogram is proposed and employed to initialize and maintain the background models of each pixel in a video frame. The calculated LFP histogram of each pixel in the new frame is compared to its corresponding background models for classifying the pixel into the class of foreground or moving objects. Compared with the other approach, experimental results show that our approach possesses better adaption and tolerance abilities for the conditions of shadows and illumination variation.","PeriodicalId":415494,"journal":{"name":"2012 Sixth International Conference on Genetic and Evolutionary Computing","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131236047","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}