2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)最新文献_第8页

Multi-channel with RBF neural network aggregation based on disparity space for color image stereo matching 基于视差空间的多通道RBF神经网络聚合彩色图像立体匹配

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463240

Xungao Zhong, Xiafu Peng, Xunyu Zhong, Xueren Dong

引用次数: 0

A taxonomy of low-level hybridization in metaheuristics algorithms 元启发式算法中低层次杂交的分类

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463202

S. Masrom, S. Z. Abidin, N. Omar

引用次数: 2

Design of SINS/GPS integrated navigation system based on dual NiosII soft-core 基于双NiosII软核的SINS/GPS组合导航系统设计

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463151

Zhi Chai, Lingjuan Miao, Jun Shen

{"title":"Design of SINS/GPS integrated navigation system based on dual NiosII soft-core","authors":"Zhi Chai, Lingjuan Miao, Jun Shen","doi":"10.1109/ICACI.2012.6463151","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463151","url":null,"abstract":"As an advanced integrated navigation system with excellent performance, the SINS/GPS system combines the advantages of strap-down inertial navigation system (SINS) and global positioning system (GPS) respectively. A new architecture of the SINS/GPS system is implemented on SOPC platform with dual NiosII soft-core, which is proposed as an alternative of the conventional implementation with FPGA plus DSP. The two NiosII soft-core, One CPU core is utilized for the central control, data acquisition and off-chip communication with the host computer, another core is for the implementation of real-time navigation. Moreover, the Kaiman filter is implemented as a specific IP embedded into the on-chip system, which possesses a higher efficiency than the conventional method by using C program on DSP. As a hardware filter, it's independent of NiosII. The experimental results show both excellent efficiency and real-time quality of the implemented system. Consequently, the proposed architecture with conspicuous advantages is more feasible and has a reduced resource usage, compared with the conventional method.","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":"127524081","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

Strength distribution in complex network for analyzing experimental two-phase flow signals 实验两相流信号分析的复杂网络强度分布

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463118

Z. Gao, Lingchao Ji

引用次数: 0

An algorithm of removing highlight target's smear in space observation image 一种去除空间观测图像中高光目标污迹的算法

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463358

Jian Zhang, Liansheng Wang, Jian-Cun Ren

{"title":"An algorithm of removing highlight target's smear in space observation image","authors":"Jian Zhang, Liansheng Wang, Jian-Cun Ren","doi":"10.1109/ICACI.2012.6463358","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463358","url":null,"abstract":"Smear effect is a “fact of life” when using frame transfer type charge-coupled devices (CCDs) for image or video sequence acquisition. Usually, CCD smear effect can be decreased greatly by employing certain measures. But smear effect can seriously disturb the dim targets detection in Star Observation Image (SOI). In order to realize automatic removing highlight target's smear in SOI, an automatic de-smear system is established. Algorithms such as Gaussian noise distribution parameters estimation, smear detection and gray level correction etc. are investigated. First, Gaussian noise's distribution parameter of SOI is estimated with histogram least square curve fitting. Subsequently, utilizing smear features in observation image, a smear detection algorithm based on statistical information is proposed. Then, after the smear position is determined, contaminated pixel's gray level is corrected. Finally, a set of de-smear system in star observation image has been developed with Visual Studio 2005. Experimental results indicate that with the SOI of 16 Bits and 1024 pixels×1024 pixels, single frame image processing time is about 300 ms. Smear effects are well corrected. And useful information of stars and target has not been destroyed. The processed SOIs can satisfy the demands of stability, reliability and precision for dim target detection.","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":"125749799","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

Performance enhancement of Adaptive Support-Weight approach by tuning parameters 通过调整参数提高自适应支持权重方法的性能

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463153

T. Guan, Gexiang Zhang

{"title":"Performance enhancement of Adaptive Support-Weight approach by tuning parameters","authors":"T. Guan, Gexiang Zhang","doi":"10.1109/ICACI.2012.6463153","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463153","url":null,"abstract":"Since Yoon and Kweon proposed the Adaptive Support-Weight approach (ASW) based on color similarity and geometric proximity, local stereo matching methods have experienced great improvement, even are better than most of global approaches. In ASW, how to choose proper parameters is a very difficult and ongoing issue. Until now most studies on ASW used empirical parameter values and little work focused on the discussion of the ASW parameter setting. In this paper, we presented a Relational Analysis Method (RAM) to investigate the effects of different parameters on the ASW performance. RAM simultaneously considers the changes of multiple parameters of ASW. Middlebury test platform and four standard test images are applied to conduct experiments. The results show that the different combinations of multiple parameters have significant influences on the ASW performance. The average bad pixels of the four images vary from 45.4% to 8.66%. The ASW performance obtained by using appropriate parameters is much better than several modified ASW methods. Thus through tuning the parameters of ASW, the performance can be greatly improved.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"35 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":"125753101","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

Statistical features of strong wind over the Bohai and Yellow Sea and its multimodel ensemble prediction during boreal summer 寒带夏季渤海、黄海大风的统计特征及其多模式集合预报

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463273

Xiefei Zhi, Hua Zhu, Yuan Yongqing

{"title":"Statistical features of strong wind over the Bohai and Yellow Sea and its multimodel ensemble prediction during boreal summer","authors":"Xiefei Zhi, Hua Zhu, Yuan Yongqing","doi":"10.1109/ICACI.2012.6463273","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463273","url":null,"abstract":"Based on the surface wind and geopotential height fields of the NCEP/NCAR reanalysis data during the period from January 1, 1980 to December 31, 2009 and forecast data of the JMA, NCEP GFS and NOGAPS models, statistical features of the strong wind have been investigated, and the bias-removed ensemble mean (BREM) forecast experiment of the sea surface wind has been conducted over the Bohai and Yellow Sea for the period from July 28 to August 10 in 2009. The results show that the strong wind days over the Bohai and Yellow Sea have a significant interannual variability and seasonal variability. On average, there are 50 strong wind events which last for at least 12 hours annually. In addition, strong windy weather events occur most frequently in winter and less frequently in summer. The strong wind events in summer are mainly attributed to the northward movement of the typhoons in the western Pacific, while those in winter are mainly brought by the cold fronts. The first two EOF eigenvectors describe the activities of tropical cyclones over the East China Sea and the Yellow Sea, respectively, together with the high pressure system in the northeastern China. Large pressure gradient between the high and low pressure systems results in the strong windy weather over the Bohai and Yellow Sea. On the whole, the BREM forecast technique performs better than each of three single model forecast in terms of the forecast skill of the surface wind over the Bohai and Yellow Sea for the forecast period from July 28 to August 10 in 2009.","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":"127501001","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

Collaborative filtering recommendation algorithm based on semantic similarity of item 基于项目语义相似度的协同过滤推荐算法

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463204

B. Juan

引用次数: 3

Hand gesture recognition based on skeleton of point clouds 基于点云骨架的手势识别

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463228

Shen Wu, F. Jiang, Debin Zhao

引用次数: 6

Robust spatial LSB watermarking of color images against JPEG compression 抗JPEG压缩彩色图像的鲁棒空间LSB水印

2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463294

Tao Chen, Hongtao Lu

引用次数: 14