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2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)最新文献

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Time-reversal based detection of buried objects in waveguide environments 波导环境中基于时间反转的地埋目标检测
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463347
Xiang Pan, Huixia Shu, Yuan-xin Xu, Nan Wang
{"title":"Time-reversal based detection of buried objects in waveguide environments","authors":"Xiang Pan, Huixia Shu, Yuan-xin Xu, Nan Wang","doi":"10.1109/ICACI.2012.6463347","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463347","url":null,"abstract":"For improvement of detection of a buried object in shallow water, a robust time reversal detection approach is proposed. Time reversal processing (TRP) is commonly applied for signal enhancement in a homogenous medium. In this paper, time reversal focusing in non-homogenous media is theoretically analyzed based on a wave propagation equation. From the perspective of beamforming, TRP is equivalent to active matched field processing (MFP). It is necessary to consider the robustness of TRP in an uncertain environment. Thus an optimum algorithm with multiple constraints is combined with the TRP scheme for designing time reversal beams to ensonify a target of interest. The tank experimental results verify the theoretical analysis of time reversal focusing in layered media. The proposed time reversal processing scheme works well in detection of a buried object in a waveguide tank. Moreover, by robust time reversal we can achieve a processing gain of 11.8 dB.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129313671","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 Bayesian network structure learning algorithm based on Maximal Information Coefficient 一种新的基于最大信息系数的贝叶斯网络结构学习算法
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463292
Yinghua Zhang, Qiping Hu, Wensheng Zhang, Jin Liu
{"title":"A novel Bayesian network structure learning algorithm based on Maximal Information Coefficient","authors":"Yinghua Zhang, Qiping Hu, Wensheng Zhang, Jin Liu","doi":"10.1109/ICACI.2012.6463292","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463292","url":null,"abstract":"Greedy Equivalent Search (GES) is an effective algorithm for Bayesian network problem, which searches in the space of graph equivalence classes. However, original GES may easily fall into local optimization trap because of empty initial structure. In this paper, An improved GES method is prosposed. It firstly makes a draft of the real network, based on Maximum Information Coefficient (MIC) and conditional independence tests. After this step, many independent relations can be found. To ensure correctness, then this draft is used to be a seed structure of original GES algorithm. Numerical experiment on four standard networks shows that NEtoGS (the number of graph structure, which is equivalent to the God Standard network) has big improvement. Also, the total of learning time are greatly reduced. Therefore, our improved method can relatively quickly determine the structure graph with highest degree of data matching.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130375854","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: 11
Detect functionally equivalent code fragments via k-nearest neighbor algorithm 通过k近邻算法检测功能等效的代码片段
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463128
Dandan Kong, Xiaohong Su, Shitang Wu, Tiantian Wang, Peijun Ma
{"title":"Detect functionally equivalent code fragments via k-nearest neighbor algorithm","authors":"Dandan Kong, Xiaohong Su, Shitang Wu, Tiantian Wang, Peijun Ma","doi":"10.1109/ICACI.2012.6463128","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463128","url":null,"abstract":"It is important for improving program to detect duplicated code (also known as code clone) in the field of software development and maintenance. The existing solutions can not effectively analyze the complex semantics of programs, and so can not effectively detect functionally equivalent code fragments that execute the same operations but with different syntax. This paper proposes a method to detect functionally equivalent code fragments via k-nearest neighbor algorithm. Firstly, the source code is statically analyzed to get the information of control dependency and data flow; then, k-nearest neighbor clustering algorithm is performed to form functionally independent code fragments; next, the input and output variables of the code fragments are identified, and the code fragments are transformed to compilable and executable functions, then the automatic random assignment for the input variables of functions are carried out. At last, the functions are dynamically tested and are classified into different clusters according to the testing outputs. Experimental results show that this method can effectively get functionally equivalent code fragments with a lower time complexity.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130537549","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
A color cast detection algorithm of robust performance 一种鲁棒性能的色偏检测算法
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463249
Fangzhou Li, Jinyong Wu, Yike Wang, Yong Zhao, Xing Zhang
{"title":"A color cast detection algorithm of robust performance","authors":"Fangzhou Li, Jinyong Wu, Yike Wang, Yong Zhao, Xing Zhang","doi":"10.1109/ICACI.2012.6463249","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463249","url":null,"abstract":"In order to overcome the limit of traditional methods in image cast detection, a new cast detection approach with robust performance is presented. The algorithm by using digital image analysis is used to analyze the characteristics of the image itself. Especially the algorithm introduces image texture information to cast factor K. The new technique of evaluating cast detection not only is able to accurately detect cast images, but also to avoid taking normal images estimate into cast images, and enhances the detection accuracy and reliability. The performance is more robust. The experiment results show that by testing many different images, the proposed method and the subjective evaluation results are in good agreement.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129132438","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: 11
Prediction of chaotic time series based on the relevance vector machine 基于相关向量机的混沌时间序列预测
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463176
Sichao Zhang, Ping Liu
{"title":"Prediction of chaotic time series based on the relevance vector machine","authors":"Sichao Zhang, Ping Liu","doi":"10.1109/ICACI.2012.6463176","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463176","url":null,"abstract":"The prediction of chaotic time series is performed by relevance vector machine (RVM), which is an inherent online machine learning technique utilizing a flexible and sparse function without additional regularization parameters. The main objective of this approach is to increase the accuracy of the chaotic time series prediction. The method is applied to Mackey-Glass and Lorenz equations, Henon mapping which produce the chaotic time series to evaluate the validity of the proposed technique. Numerical experimental results confirm that the proposed method can predict the chaotic time series more effectively and accurately when compared with the existing prediction methods.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"147 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121298439","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 gray value retention histogram equalization 一种新的灰度值保留直方图均衡化方法
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463130
Bingwei Ge, Ningning Zhou
{"title":"A new gray value retention histogram equalization","authors":"Bingwei Ge, Ningning Zhou","doi":"10.1109/ICACI.2012.6463130","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463130","url":null,"abstract":"In the field of image processing histogram equalization is a method to enhance images by adjusting the image contrast. The idea is to change the original image histogram from the more concentrated gray-scale range into all the uniform distribution. There is a shortcoming that gray-scale merging in traditional histogram equalization image enhancement. A gray-scale retention histogram equalization can reduce the adverse effects of the gray-scale mergering and retain more image details. This method has been improved in this paper, we use Measure of Medium Truth Degree to determine which is better, the method retains high gray-level or the one retains the low gray-level.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121735154","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
Improved fast filtering algorithm with low distortion for dynamic electrocardiogram 改进的低失真动态心电图快速滤波算法
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463361
Shouwei Gao, G. Wang, Hairun Wang, Longlong Zhao, Yue Zhao
{"title":"Improved fast filtering algorithm with low distortion for dynamic electrocardiogram","authors":"Shouwei Gao, G. Wang, Hairun Wang, Longlong Zhao, Yue Zhao","doi":"10.1109/ICACI.2012.6463361","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463361","url":null,"abstract":"Dynamic electrocardiogram is of great application value in clinical medicine. This paper proposes a fast filtering algorithm in preprocess of dynamic cardio-electric signal. First, it synthetically compares different QRS wave group detection algorithms, and adapts dynamic threshold detection method in order to meet fast testing requirement. Then it chooses QRS wave group as a switch, using different smoothing filtering algorithms in different parts of the signal. The simulation shows its feasibility in QRS wave group detection and recognition, and the degree of distortion is lowered after filtering.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"53 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113973913","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
Application of geographical information system in land classification and grading 地理信息系统在土地分类定级中的应用
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463143
Juanmin Cui, Weng Ji
{"title":"Application of geographical information system in land classification and grading","authors":"Juanmin Cui, Weng Ji","doi":"10.1109/ICACI.2012.6463143","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463143","url":null,"abstract":"This article analyses the basic features of graphic library and attribute library of the GIS software ARC/INFO, analyses the necessity to combine the work of grading land with the technique of GIS; and on the base of the two libraries' space analyzing function, summarizes the technical route of grading land supported by GIS; creates land graphic library, plots out the basic evaluating element, creates mathematic model and plots the final graph. All of these produce a new way to grade land.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128137730","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 effect of ammunition supplying times on stochastic duels 供弹次数对随机决斗的影响
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463284
Yaofeng Ren, Chuanzhi Feng
{"title":"The effect of ammunition supplying times on stochastic duels","authors":"Yaofeng Ren, Chuanzhi Feng","doi":"10.1109/ICACI.2012.6463284","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463284","url":null,"abstract":"In the fundamental stochastic duels, the interfiring time means the sum of the time to load and the time to aim. However, in realistic stochastic duels, the interfiring time is related to the time of supplying ammunition. In this article we study the effect of ammunition supplying times on the stochastic duels. Suppose that the ammunition supplying time is negative exponential and the other conditions are the same as those in the fundamental stochastic duel. The marksman firing at a passive target is considered and the characteristic function of the time to a hit is developed. The effect of ammunition supplying times is analyzed by solving the stochastic duel with the situation where one duelist has negative exponential supplying times while the other has unlimited ammunition. The winning probability of the given side is derived and some interesting results are obtained.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132009050","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
Enhancing multi-objective Invasive Weed Optimization with information exchange in Intra- and Inter-Communities 基于群落内和群落间信息交换的入侵杂草多目标优化研究
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463186
Zhenzhou Hu, Xinye Cai
{"title":"Enhancing multi-objective Invasive Weed Optimization with information exchange in Intra- and Inter-Communities","authors":"Zhenzhou Hu, Xinye Cai","doi":"10.1109/ICACI.2012.6463186","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463186","url":null,"abstract":"Inspired from colonizing weeds, a simple but effective multi-objective optimization algorithm, named as Multi-objective Invasive Weed Optimization (IWO_MO), has been proposed recently and proved to be superior to other state-of-the-art algorithms. In this paper, we propose the Intra-and Inter-operator, which exchanges information among the Intra- and Inter-Communities of weeds, to further improve the performance of the IWO_MO. The proposed algorithm, named as IWO_MO2, is tested on various multi-objective benchmark test functions. Results suggest that the proposed IWO_MO2 is more effective on tackling multi-objective problems and the obtained Pareto approximative Front is very close to the true Pareto optimal Front.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"21 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134298755","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
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