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IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application最新文献

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Improving Web Browsers Using Homogeneous Archetypes 使用同构原型改进Web浏览器
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 2008-12-19 DOI: 10.1109/PACIIA.2008.245
Zhu Hai-bo
{"title":"Improving Web Browsers Using Homogeneous Archetypes","authors":"Zhu Hai-bo","doi":"10.1109/PACIIA.2008.245","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.245","url":null,"abstract":"Many scholars would agree that, had it not been for operating systems, the analysis of lambda calculus might never have occurred. In fact, few experts would disagree with the simulation of expert systems, which embodies the confusing principles of complexity theory. In this paper, we disprove that although expert systems and Smalltalk can cooperate to overcome this quandary, the little-known signed algorithm for the construction of architecture by Gupta runs in W(n!) time.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116725833","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
Multi-Scale Shaft Parts Image Edge Detection and Measurement Based on Wavelet Transform 基于小波变换的多尺度轴类零件图像边缘检测与测量
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.69
Ji Ge, Yaonan Wang, Bowen Zhou, Hui Zhang
{"title":"Multi-Scale Shaft Parts Image Edge Detection and Measurement Based on Wavelet Transform","authors":"Ji Ge, Yaonan Wang, Bowen Zhou, Hui Zhang","doi":"10.1109/PACIIA.2008.69","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.69","url":null,"abstract":"Multi-scale edge detection method was demonstrated, also detailed algorithms, flow chart were put forward, shaft partspsila image as an example in this article. The algorithms resolve two problems existing in the first generation multi-scale edge detection, the demerits were edge defined only considering its irregularity and difficult selection of filtering scale. More satisfied edge detection results can be got applying wavelet transformationspsila regularity under different scales or the same scale. To realize image measurement, system calibration is the key factor, which ascertains the detection accuracy. Detection experiments are carried out to compare between the traditional operators and proposed algorithm, real dimension lengths of the shaft parts are calculated with the calibrated coefficient.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124404850","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
A Wavelet Embedded Block Coding Method Based on Low-Memory and Bit-Length Search 基于低内存和位长度搜索的小波嵌入分组编码方法
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.315
Wenda Wang, Yanling Hao
{"title":"A Wavelet Embedded Block Coding Method Based on Low-Memory and Bit-Length Search","authors":"Wenda Wang, Yanling Hao","doi":"10.1109/PACIIA.2008.315","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.315","url":null,"abstract":"A wavelet embedded block coding method based on low-memory and bit-length search is brought forward in this paper. The memory occupancy can be reduced and coding efficiency can be improved through four measures adopted in the process of coding. This four measures are: (1) code LLn sub-band separately; (2) create bit-length chart in terms of bit-length defined by the author; (3) employ bit-length chart instead of using lists in the process of fining and ranking to reduce memory occupancy; (4) quick search key blocks according to the structure of bit-length chart to overcome repeat scan and increase coding speed. According to the experimental results, the algorithm can reduce memory occupancy in the process of coding and increase the coding speed effectively. Meanwhile, it can achieve high PSNR. It makes wavelet coding more applicable and available in single chip hardware system.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114672591","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 Novel Scene Change Detection Algorithm for H.264/AVC Bitstreams 一种新的H.264/AVC比特流场景变化检测算法
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.246
Jie Feng, Aiai Huang, Yaowu Chen
{"title":"A Novel Scene Change Detection Algorithm for H.264/AVC Bitstreams","authors":"Jie Feng, Aiai Huang, Yaowu Chen","doi":"10.1109/PACIIA.2008.246","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.246","url":null,"abstract":"In this paper, we present a novel scene change detection algorithm in the H.264/AVC compressed domain directly. Three major statistical features are used: (i) bit allocation for intra mode macroblocks (BIM), (ii) bit allocation for inter mode macroblocks (BPM), and (iii) the number of skip mode macroblocks in a frame. These features can be easily extracted from the H.264/AVC bitstreams. Besides the percent of skip macroblocks in a frame, an adaptive threshold based on the ratio of BIM to BPM is used to determine the abrupt and the gradual scene changes respectively. Experimental results indicate that the proposed algorithm achieves the good performance with a low computational complexity.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"182 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116307565","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
Research on Intelligent Feeding Paper Control System Based on Fuzzy Parameter Self-Adaptive PID for Fruit-Bag Machine 基于模糊参数自适应PID的水果制袋机智能送纸控制系统研究
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.326
Qing Zhang, Junfeng Liu, Xin Yang, Hongjie Liu
{"title":"Research on Intelligent Feeding Paper Control System Based on Fuzzy Parameter Self-Adaptive PID for Fruit-Bag Machine","authors":"Qing Zhang, Junfeng Liu, Xin Yang, Hongjie Liu","doi":"10.1109/PACIIA.2008.326","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.326","url":null,"abstract":"This paper presents a control system of feeding paper in fruit-bag machine based on fuzzy parameter self-adaptive PID. First, it put forward the mathematical model of control system according to the design characters. Then, it analyzed the structure and rules of controller and estimated the fuzzy parameters of PID by evaluating fuzzy relations equation. By the theoretical analysis and system¿s experimental test show that fruit-bag machine can automatically adjust deviator location according to roll size while feeding paper. It could solve the problem of paper wrinkling caused by drifting or deviation, incorrect congruence of internal and external bag. It apparently strengthens the stability of the whole producing process and improved the quality of fruit-bag.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121887488","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 New Parallel Ant Colony Optimization Algorithm Based on Message Passing Interface 基于消息传递接口的并行蚁群优化算法
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.248
Jie Xiong, Caiyun Liu, Zhong Chen
{"title":"A New Parallel Ant Colony Optimization Algorithm Based on Message Passing Interface","authors":"Jie Xiong, Caiyun Liu, Zhong Chen","doi":"10.1109/PACIIA.2008.248","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.248","url":null,"abstract":"As a successful metaheuristic, ant colony optimization (ACO) performs excellently in solving most combinatorial optimization problems. However, the ACO algorithm needs considerable computational time and resources when the complexity of the problem increases. Parallel implementing is a good ideal to speedup it. A new parallel ant colony optimization (PACO) algorithm is presented, which has the characteristics of coarse-granularity interacting multiant colonies, partially asynchronous parallel implementation and a new information exchange strategy. The code is written in C and MPI and the main application has been executed on the dawn 4000 L parallel computer. We evaluate the PACO algorithm proposed in this paper by study the convergence speed, parallel size scalability and problem size scalability of it. The numerical results indicate that: (1) the PACO algorithm can construct solution better than the sequential ACO (SACO) algorithm and converge faster then SACO; (2) more computational nodes can reduce the computational time obviously and obtain significant speedup; (3) the PACO algorithm is more efficient for the large scale traveling salesman problem with fine quality of solution.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129504045","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: 13
T-Wave Alternans Analysis in Portable ECG Monitor 便携式心电监护仪的t波交替分析
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.174
Hai-duan Lin, Kui Xiang
{"title":"T-Wave Alternans Analysis in Portable ECG Monitor","authors":"Hai-duan Lin, Kui Xiang","doi":"10.1109/PACIIA.2008.174","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.174","url":null,"abstract":"T-wave alternans (TWA) has been recognized as a key index being related to sudden cardiac death (SCD) closely. In the past research, spectral method (SM) and modified moving average (MMA) are the main detection algorithms. TWA is a very weak signal and its detection is very difficult, especially in ambulatory electrocardiogram (AECG). In this paper, the strength and weakness are discussed firstly. Then based on MMA, a new detection algorithm is proposed. Only S-T-P sections are clustered to create odd and even complexes. The Euclidean distance between two complexes is considered as the matric of TWA level. The computation results illustrate the effect of our algorithm, and more improvement will remain in the future.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128642503","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
Method for Extraction Wavelet Packets' Coefficients in Loudspeaker Fault Detection Based on PCA 基于PCA的扬声器故障检测小波包系数提取方法
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.375
Hongxing Wang, Zengpu Xu, C. Zhou, L. Yang
{"title":"Method for Extraction Wavelet Packets' Coefficients in Loudspeaker Fault Detection Based on PCA","authors":"Hongxing Wang, Zengpu Xu, C. Zhou, L. Yang","doi":"10.1109/PACIIA.2008.375","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.375","url":null,"abstract":"This paper presents a new method using principal component analysis (PCA) to eliminate data redundancy in loudspeaker fault detection. It uses wavelet packet transformation (WPT) to decompose the loudspeaker acoustics signal into 32 packet node signals. Then, get the mean, max, standard deviation and correlation coefficient of every node envelopment .With the way of observing, it gets 63 coefficients from 128 ones which are helpful for detection of fault. Using the new way above, 32 coefficients are removed from the 63. The failed loudspeaker can be found with the help of artificial neural network (ANN). It is proved that the method is very effective in experiment.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123395003","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 Novel Alternative Weighted Fuzzy C-Means Algorithm and Cluster Validity Analysis 一种新的加权模糊c均值算法及聚类有效性分析
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.286
Xiang Wang, Rui Guo, Jizhong Liu, Xiaoying Gao, Lina Wang, Wei Lei, Zhiying Liu, Chi Zhang, Ke Zuo
{"title":"A Novel Alternative Weighted Fuzzy C-Means Algorithm and Cluster Validity Analysis","authors":"Xiang Wang, Rui Guo, Jizhong Liu, Xiaoying Gao, Lina Wang, Wei Lei, Zhiying Liu, Chi Zhang, Ke Zuo","doi":"10.1109/PACIIA.2008.286","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.286","url":null,"abstract":"Proposed a novel fuzzy cluster algorithm-AWFCM, aiming at large miss-clustering and invalidation in the fuzzy C-means algorithm when has noises and uneven samples situation. This new algorithm defined a new distance in new metric space and introduced weight matrix based on sample dots' density. New definition of distance can efficiently restrain the error range of clustering centers for samples with noise points in iteration, meanwhile improve recursion for clustering centers according to samples' density. Experiments have proved that AWFCM algorithm overcomes bugs of FCM algorithm to a certain extent, with favorable convergence and robust.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116146145","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
Particle Filter for Underwater Bearings-Only Passive Target Tracking 水下纯方位被动目标跟踪的粒子滤波
IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application Pub Date : 1900-01-01 DOI: 10.1109/PACIIA.2008.278
Fei Zhang, Xing-peng Zhou, Xiao-hui Chen, Rui-lan Liu
{"title":"Particle Filter for Underwater Bearings-Only Passive Target Tracking","authors":"Fei Zhang, Xing-peng Zhou, Xiao-hui Chen, Rui-lan Liu","doi":"10.1109/PACIIA.2008.278","DOIUrl":"https://doi.org/10.1109/PACIIA.2008.278","url":null,"abstract":"Passive target tracking is in essence the problem of nonlinear filtering, where the system dynamics equations are usually linear while the measurement equations are nonlinear, and the aim is to obtain the target's state based on the nonlinear measurements. Particle filter is an effective nonlinear filtering algorithm in nonlinear and non-Gaussian state space. According to the characteristics of underwater bearings-only passive target tracking, the particle filter algorithm used in nonlinear problems of underwater bearings-only passive target tracking has been proposed in this paper. The proposed algorithm can overcome the shortcomings of easy divergence, low tracking accuracy and large error in conventional linearized methods such as EKF and UKF. Computer simulation results demonstrate that the particle filter has enhanced the stability of the filtering, and has better tracking accuracy than EKF and UKF algorithm. It has received good results.","PeriodicalId":275193,"journal":{"name":"IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115279722","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: 6
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