The Kips Transactions:partb最新文献_第7页

Highly Reliable Fault Detection and Classification Algorithm for Induction Motors 感应电机高可靠故障检测与分类算法

The Kips Transactions:partb Pub Date : 2011-06-30 DOI: 10.3745/KIPSTB.2011.18B.3.147

Chul-Hee Hwang, Myeongsu Kang, Yong-Bum Jung, Jong-Myon Kim

{"title":"Highly Reliable Fault Detection and Classification Algorithm for Induction Motors","authors":"Chul-Hee Hwang, Myeongsu Kang, Yong-Bum Jung, Jong-Myon Kim","doi":"10.3745/KIPSTB.2011.18B.3.147","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.3.147","url":null,"abstract":"This paper proposes a 3-stage (preprocessing, feature extraction, and classification) fault detection and classification algorithm for induction motors. In the first stage, a low-pass filter is used to remove noise components in the fault signal. In the second stage, a discrete cosine transform (DCT) and a statistical method are used to extract features of the fault signal. Finally, a back propagation neural network (BPNN) method is applied to classify the fault signal. To evaluate the performance of the proposed algorithm, we used one second long normal/abnormal vibration signals of an induction motor sampled at 8kHz. Experimental results showed that the proposed algorithm achieves about 100% accuracy in fault classification, and it provides 50% improved accuracy when compared to the existing fault detection algorithm using a cross-covariance method. In a real-world data acquisition environment, unnecessary noise components are usually included to the real signal. Thus, we conducted an additional simulation to evaluate how well the proposed algorithm classifies the fault signals in a circumstance where a white Gaussian noise is inserted into the fault signals. The simulation results showed that the proposed algorithm achieves over 98% accuracy in fault classification. Moreover, we developed a testbed system including a TI`s DSP (digital signal processor) to implement and verify the functionality of the proposed algorithm.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121110596","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

Solving the Gale-Shapley Problem by Ant-Q learning 用蚁群学习解决Gale-Shapley问题

The Kips Transactions:partb Pub Date : 2011-06-30 DOI: 10.3745/KIPSTB.2011.18B.3.165

Hyun Kim, TaeChoong Chung

引用次数: 2

Robust Vision Based Algorithm for Accident Detection of Crossroad 基于鲁棒视觉的十字路口事故检测算法

The Kips Transactions:partb Pub Date : 2011-06-30 DOI: 10.3745/KIPSTB.2011.18B.3.117

SungHwan Jeong, Joonwhoan Lee

{"title":"Robust Vision Based Algorithm for Accident Detection of Crossroad","authors":"SungHwan Jeong, Joonwhoan Lee","doi":"10.3745/KIPSTB.2011.18B.3.117","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.3.117","url":null,"abstract":"The purpose of this study is to produce a better way to detect crossroad accidents, which involves an efficient method to produce background images in consideration of object movement and preserve/demonstrate the candidate accident region. One of the prior studies proposed an employment of traffic signal interval within crossroad to detect accidents on crossroad, but it may cause a failure to detect unwanted accidents if any object is covered on an accident site. This study adopted inverse perspective mapping to control the scale of object, and proposed different ways such as producing robust background images enough to resist surrounding noise, generating candidate accident regions through information on object movement, and by using edge information to preserve and delete the candidate accident region. In order to measure the performance of proposed algorithm, a variety of traffic images were saved and used for experiment (e.g. recorded images on rush hours via DVR installed on crossroad, different accident images recorded in day and night rainy days, and recorded images including surrounding noise of lighting and shades). As a result, it was found that there were all 20 experiment cases of accident detected and actual effective rate of accident detection amounted to 76.9% on average. In addition, the image processing rate ranged from 10~14 frame/sec depending on the area of detection region. Thus, it is concluded that there will be no problem in real-time image processing.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134372189","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

A Correction of Color Temperature and Consistency for 3D Stereoscopic Images 三维立体图像的色温和一致性校正

The Kips Transactions:partb Pub Date : 2011-06-30 DOI: 10.3745/KIPSTB.2011.18B.3.139

Jeong-Yeop Kim, Sang-Hyun Kim

引用次数: 0

Using the fusion of spatial and temporal features for malicious video classification 基于时空特征融合的恶意视频分类

The Kips Transactions:partb Pub Date : 2011-06-01 DOI: 10.3745/KIPSTB.2011.18B.6.365

Jaehyun Jeon, Semin Kim, S. Han, Yong Man Ro

{"title":"Using the fusion of spatial and temporal features for malicious video classification","authors":"Jaehyun Jeon, Semin Kim, S. Han, Yong Man Ro","doi":"10.3745/KIPSTB.2011.18B.6.365","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.6.365","url":null,"abstract":"Recently, malicious video classification and filtering techniques are of practical interest as ones can easily access to malicious multimedia contents through the Internet, IPTV, online social network, and etc. Considerable research efforts have been made to developing malicious video classification and filtering systems. However, the malicious video classification and filtering is not still being from mature in terms of reliable classification/filtering performance. In particular, the most of conventional approaches have been limited to using only the spatial features (such as a ratio of skin regions and bag of visual words) for the purpose of malicious image classification. Hence, previous approaches have been restricted to achieving acceptable classification and filtering performance. In order to overcome the aforementioned limitation, we propose new malicious video classification framework that takes advantage of using both the spatial and temporal features that are readily extracted from a sequence of video frames. In particular, we develop the effective temporal features based on the motion periodicity feature and temporal correlation. In addition, to exploit the best data fusion approach aiming to combine the spatial and temporal features, the representative data fusion approaches are applied to the proposed framework. To demonstrate the effectiveness of our method, we collect 200 sexual intercourse videos and 200 non-sexual intercourse videos. Experimental results show that the proposed method increases 3.75% (from 92.25% to 96%) for classification of sexual intercourse video in terms of accuracy. Further, based on our experimental results, feature-level fusion approach (for fusing spatial and temporal features) is found to achieve the best classification accuracy.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115698319","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

Korean Document Classification Using Extended Vector Space Model 基于扩展向量空间模型的韩语文档分类

The Kips Transactions:partb Pub Date : 2011-04-30 DOI: 10.3745/KIPSTB.2011.18B.2.093

S. Lee

引用次数: 0

Cluster Analysis of SNPs with Entropy Distance and Prediction of Asthma Type Using SVM 基于熵距的snp聚类分析及SVM哮喘类型预测

The Kips Transactions:partb Pub Date : 2011-04-30 DOI: 10.3745/KIPSTB.2011.18B.2.067

Jungseob Lee, Ki-Seob Shin, K. Wee

引用次数: 0

Acquisition of Intrinsic Image by Omnidirectional Projection of ROI and Translation of White Patch on the X-chromaticity Space 利用感兴趣区域的全向投影和白斑在x -色度空间上的平移获取固有图像

The Kips Transactions:partb Pub Date : 2011-04-30 DOI: 10.3745/KIPSTB.2011.18B.2.051

Dal-Hyoun Kim, Dong-Guk Hwang, Woo-Ram Lee, Byoung-Min Jun

{"title":"Acquisition of Intrinsic Image by Omnidirectional Projection of ROI and Translation of White Patch on the X-chromaticity Space","authors":"Dal-Hyoun Kim, Dong-Guk Hwang, Woo-Ram Lee, Byoung-Min Jun","doi":"10.3745/KIPSTB.2011.18B.2.051","DOIUrl":"https://doi.org/10.3745/KIPSTB.2011.18B.2.051","url":null,"abstract":"Algorithms for intrinsic images reduce color differences in RGB images caused by the temperature of black-body radiators. Based on the reference light and detecting single invariant direction, these algorithms are weak in real images which can have multiple invariant directions when the scene illuminant is a colored illuminant. To solve these problems, this paper proposes a method of acquiring an intrinsic image by omnidirectional projection of an ROI and a translation of white patch in the -chromaticity space. Because it is not easy to analyze an image in the three-dimensional RGB space, the -chromaticity is also employed without the brightness factor in this paper. After the effect of the colored illuminant is decreased by a translation of white patch, an invariant direction is detected by omnidirectional projection of an ROI in this chromaticity space. In case the RGB image has multiple invariant directions, only one ROI is selected with the bin, which has the highest frequency in 3D histogram. And then the two operations, projection and inverse transformation, make intrinsic image acquired. In the experiments, test images were four datasets presented by Ebner and evaluation methods was the follows: standard deviation of the invariant direction, the constancy measure, the color space measure and the color constancy measure. The experimental results showed that the proposed method had lower standard deviation than the entropy, that its performance was two times higher than the compared algorithm.","PeriodicalId":122700,"journal":{"name":"The Kips Transactions:partb","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2011-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131387542","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 Smart Script System for Implementing Intelligent Behaviors of Mobile Personal Assistants 实现移动个人助理智能行为的智能脚本系统

The Kips Transactions:partb Pub Date : 2011-04-30 DOI: 10.3745/KIPSTB.2011.18B.2.083

Incheol Kim, Hui-Kyoung Oh

引用次数: 0

S-MINE Algorithm for the TSP TSP的S-MINE算法

The Kips Transactions:partb Pub Date : 2011-04-30 DOI: 10.3745/KIPSTB.2011.18B.2.073

Sook-Hi Hwang, Il-Yong Weon, Sung-Bum Ko, Chang-Hoon Lee

引用次数: 0