The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE)最新文献_第5页

Defect detection on air bearing surface with gray level co-occurrence matrix 基于灰度共生矩阵的空气轴承表面缺陷检测

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804086

Pichate Kunakornvong, Chiewchan Tangkongkiet, P. Sooraksa

引用次数: 6

A power-aware design of a Spacer Detector for ternary logic asynchronous digital systems using conventional CMOS process technology 采用传统CMOS工艺技术设计了用于三元逻辑异步数字系统的间隔检测器

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804112

Thanasin Bunnam

引用次数: 1

Audio forensics from gunshot for firearm identification 用于枪支识别的枪声音频取证

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804081

P. Thumwarin, N. Wakayaphattaramanus, T. Matsuura, K. Yakoompai

引用次数: 6

Associate rule minimization using boolean algebra set function 关联规则最小化使用布尔代数集函数

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804099

Pornsak Deekumpa, P. Sooraksa

引用次数: 4

First-order allpass network using CFTA 基于CFTA的一阶全通网络

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804120

U. Torteanchai, M. Kumngern

引用次数: 5

Enhancement of video features for vision restoration of dangerous head light glare affected scenario 增强视频功能，以恢复危险的头部眩光影响场景的视觉

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804093

Kanchit Pamanee, Angela Duangchit, R. Chaisricharoen

{"title":"Enhancement of video features for vision restoration of dangerous head light glare affected scenario","authors":"Kanchit Pamanee, Angela Duangchit, R. Chaisricharoen","doi":"10.1109/JICTEE.2014.6804093","DOIUrl":"https://doi.org/10.1109/JICTEE.2014.6804093","url":null,"abstract":"Though there is a study concerning vision restoration of headlight-glare vision, enhancing visual quality is able to be improved. Current frame information would contain more video features instead of restoring it only from the previous frame in order to achieve higher quality of vision during dangerous-glare encounter. Therefore, this paper proposes a new method recovering information from the surrounding area of glare centroid which distorts the luminance. Three-dimensional recursive search (3DRS) is assigned to retrieve luminance information from Macroblock (MB) of the previous non-glare affected frames. Tone mapping is also applied to improve luminance of the distorted MB. The result shows that frames with the glare area under 15% implemented the proposed method acquires higher peak-signal-to-noise ratio (PSNR) than those applied glare simulation. Furthermore, the combination of restoration method and the proposed one results in the best performance of increasing PSNR among applying only a single method.","PeriodicalId":224049,"journal":{"name":"The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125122986","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

The statistics of equatorial spread-F at the conjugate stations in Southeast Asia 东南亚共轭站赤道传播f的统计

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804062

Somjai Klinngam, P. Supnithi, N. Manositthichai, K. Sepsirisuk, T. Tsugawa, T. Maruyama

{"title":"The statistics of equatorial spread-F at the conjugate stations in Southeast Asia","authors":"Somjai Klinngam, P. Supnithi, N. Manositthichai, K. Sepsirisuk, T. Tsugawa, T. Maruyama","doi":"10.1109/JICTEE.2014.6804062","DOIUrl":"https://doi.org/10.1109/JICTEE.2014.6804062","url":null,"abstract":"Ionospheric disturbance is a major impediment to current communication systems with the signals propagating through the ionosphere. A signature of such disturbance when appearing in an ionogram, resulting from the ionosonde observation system, is known as spread-F. The spread-F statistics is therefore crucial to the design and operation of communication system. In this work, we analyze the equatorial spread-F (ESF) statistics at the conjugate stations: Chiangmai, Chumphon and Kototabang during the period of minimum solar activity from September 2008 to April 2009. The statistics of range type spread-F (RSF) occurrence after the local sunset are shown in terms of the monthly average percentage since it is related to the Equatorial Plasma Bubble (ESP). We found that the RSF occurrence is higher at Chumphon station, which is near the magnetic equator, than at Kototabang and Chiangmai stations. The maximum level occurs during March 2009 at Chumphon station and the higher rate mostly during the equinoctial months. In addition, we compare the observed RSF occurrence probability at Chumphon station with the IRI-2012 model prediction. The comparison results show that the IRI model overestimates our results in all seasons, most evidently in December Solstice, except the estimation in June solstice during 21:00-03:30 LT when IRI model underestimates the statistics of RSF occurrence. Nevertheless, the IRI model gives closer probability values in March equinox during 20:00-22:00 LT than other seasons.","PeriodicalId":224049,"journal":{"name":"The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114104898","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

Digital biometric facial image encryption using chaotic cellular automata for secure image storages 使用混沌元胞自动机进行安全图像存储的数字生物识别面部图像加密

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804084

S. Cheepchol, W. San-Um, S. Kiattisin, A. Leelasantitham

{"title":"Digital biometric facial image encryption using chaotic cellular automata for secure image storages","authors":"S. Cheepchol, W. San-Um, S. Kiattisin, A. Leelasantitham","doi":"10.1109/JICTEE.2014.6804084","DOIUrl":"https://doi.org/10.1109/JICTEE.2014.6804084","url":null,"abstract":"This paper presents the digital image encryption scheme for biometric facial image using Cellular Automata (CA) for secure image storage. The proposed scheme is relatively simple using a segmentation of CA binary image with embedded secret keys generated by the third class of well-known Wolfram Cellular Automata that exhibits chaotic patterns. Such segmented CA binary image is diffused to the shuffled and bit-plane separated of the original biometric facial image through to XOR operations. Experiments have been performed in MATLAB using a standard digital biometric facial image with the size of 160×160 pixels. Encryption qualitative performances are evaluated through pixel density histograms, 2-dimensional power spectral density, and vertical, horizontal, and diagonal correlation plots. For the encryption quantitative measures, correlation coefficients, entropy, NPCR and UACI are realized. Demonstrations of wrong-key decrypted image are also included. The proposed encryption scheme offers a potential alternative to digital biometric facial image storage in a various applications such as in border security control, payment system, or in crime prevention, detection, and forensics.","PeriodicalId":224049,"journal":{"name":"The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117262205","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

The Significant Matrix without Genetic Algorithm for the feature selection (Significant Matrix 2) 无遗传算法的显著矩阵特征选择(显著矩阵2)

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804070

Ekapong Chuasuwan

{"title":"The Significant Matrix without Genetic Algorithm for the feature selection (Significant Matrix 2)","authors":"Ekapong Chuasuwan","doi":"10.1109/JICTEE.2014.6804070","DOIUrl":"https://doi.org/10.1109/JICTEE.2014.6804070","url":null,"abstract":"This paper presents to the improvement of the Significant Matrix [1] that works along with Genetic Algorithm in feature selection of appropriate data for a decision tree structure. This work proposes the reduction of time that cut off the Genetic Algorithm's work times. The new method is proposed in the name “Significant Matrix 2” which is calculated from the relationship between categorical data and a class label for determining the threshold of the feature selection and the sub-dataset from the method contains the appropriate feature to create decision trees. The results of experiment of feature selection times. The proposed work can work faster than [1], average 28 times and the results of experiments of the decision tree model is constructed from the feature of the method and model of neural networks. The proposed work gives the average accuracy of the classification at 95.9% of the 11 sample database, also a number of the data features are less than a number of the features from the method of neural networks [6] that uses the feature only 48.08% from all feature in example dataset. Furthermore, when comparing the accuracy of the classification decision tree which another feature selected method. This proposed work have the amount of average accuracy higher than the selected data from another method. Experimental results show that the proposed method does not only provide a higher accuracy, but reduce the complexity by using less features of the dataset.","PeriodicalId":224049,"journal":{"name":"The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE)","volume":"747 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128863519","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

High input impedance mixed-mode biquad filter with orthogonal tune of natural frequency and quality factor 固有频率与品质因子正交调谐的高输入阻抗混合模式双路滤波器

The 4th Joint International Conference on Information and Communication Technology, Electronic and Electrical Engineering (JICTEE) Pub Date : 2014-03-05 DOI: 10.1109/JICTEE.2014.6804104

Kanokrat Chumwangwapee, W. Jaikla, Wisuit Sunthonkanokpong, W. Jaikhang, S. Maneewan, B. Sreewirote

引用次数: 5