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

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Research of Fuzzy Inference based on Simplified UKF for large alignment errors in SINS alignment on a swaying base 基于简化UKF的捷联惯导系统摇摆基座对准大误差模糊推理研究
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463222
Weiwei Yang, Lingjuan Miao, Ze Guo
{"title":"Research of Fuzzy Inference based on Simplified UKF for large alignment errors in SINS alignment on a swaying base","authors":"Weiwei Yang, Lingjuan Miao, Ze Guo","doi":"10.1109/ICACI.2012.6463222","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463222","url":null,"abstract":"In the condition of large alignment angles which brought about nonlinear problem in SINS, a precise SINS error model was established on the concept of Euler platform error angles. To reduce the computation of initial alignment in SINS, a Simplified UKF (SUKF) could be used since its state equation was nonlinear while the measurement equation was linear. A novel method combined Fuzzy Inference System (FIS) and system noise's online estimation together on the basis of SUKF was proposed to adjust the system noise covariance, and online improve the performance of the SINS initial alignment. In the SINS alignment for large misalignment angles simulation conditions, the SUKF via FIS showed higher accuracy, better stability and also better real-time performance compared with conventional UKF.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"11 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":"114978618","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
Adaptive neural network control with predictive compensation for uncertain nonlinear systems 不确定非线性系统的预测补偿自适应神经网络控制
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463221
Lin Niu
{"title":"Adaptive neural network control with predictive compensation for uncertain nonlinear systems","authors":"Lin Niu","doi":"10.1109/ICACI.2012.6463221","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463221","url":null,"abstract":"The paper proposes an adaptive neural network control method. The proposed controller is based on the Generalized predictive control (GPC) algorithm, and a recurrent neural network (NN) is used to approximate the unknown nonlinear plant. To provide good accuracy in identification of unknown model parameters, an online adaptive law is proposed to adapt the consequent part of the NN. The stability of closed-loop control system is studied and proved via the Lyapunov stability theory. A nonlinear process is used to validate and demonstrate the performance of the proposed control. The simulation results show that the proposed method has good performance and disturbance rejection capacity in industrial processes and outperforms the PID and the classical GPC controllers.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"22 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":"130072918","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: 3
Opportunistic routing based on cellular wireless sensor network 基于蜂窝无线传感器网络的机会路由
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463342
Yan-liang Jin, Lina Xu, Can Guo, Zhishu Bai, Kai Yang
{"title":"Opportunistic routing based on cellular wireless sensor network","authors":"Yan-liang Jin, Lina Xu, Can Guo, Zhishu Bai, Kai Yang","doi":"10.1109/ICACI.2012.6463342","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463342","url":null,"abstract":"In wireless sensor network, routing protocol is of great importance and can directly affect the quality of network performance. However, traditional routing protocols usually choose a fixed path to select a particular node as the next hop, which undoubtedly have much deficiency. This paper proposes a modified, energy-aware routing protocol based on cell in current wireless sensor network and it can not only be used in node distribution from engineering aspects, but also can optimize nodes' energy consumption for the whole network, and the simulation shows its efficiency.","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":"131234237","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
Relation research between information disclosure and capital cost of Chinese listed company 我国上市公司信息披露与资金成本的关系研究
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463307
Yinbo Feng
{"title":"Relation research between information disclosure and capital cost of Chinese listed company","authors":"Yinbo Feng","doi":"10.1109/ICACI.2012.6463307","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463307","url":null,"abstract":"A strong stock market must follow fair, public and equitable features, and the foundation of public is the information disclosure. Improving the quality of the information disclosure to some extent can help corporation financing, so as to impact the capital cost. This paper expounds the present situation of information disclosure and the specific situation of the capital cost; it draws the conclusions by using regression analysis method to inspect the relationship between the information disclose and capital cost that (1) the information disclosure mainly influences the capital cost by lower investors' risk and improves the stock liquidity;(2) the information disclosure quality has a significant negative effect towards capital cost, which is to say, quality improvement of information disclosure can effectively reduce the enterprises' capital cost.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"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":"121909758","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 moving object detection algorithm based on redundant wavelet transform 一种基于冗余小波变换的运动目标检测新算法
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463257
Jianxun Wang, Ming-gao Yu, Zheng Xia, Yan Wang, Ying Xia
{"title":"A novel moving object detection algorithm based on redundant wavelet transform","authors":"Jianxun Wang, Ming-gao Yu, Zheng Xia, Yan Wang, Ying Xia","doi":"10.1109/ICACI.2012.6463257","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463257","url":null,"abstract":"An object detection method which can be used in indoor and outdoor monitoring was proposed in this paper. Improving shortcomings and disadvantages of moving object extraction in traditional inter-frame difference method, it puts forward a moving object recognition algorithm based on redundant wavelet transform, namely, extraction of feature points in redundant wavelet domain to generate a delaunay triangulation grid and adaptive potential movement area, then moving object area. The experimental results show that the proposed algorithm can effectively extract moving object, which is better than traditional frame difference method.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"63 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":"116511531","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
Constant current chopping subdivision driver of stepper motor applied in harsh environment 应用于恶劣环境的步进电机恒流斩波细分驱动器
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463332
Q. Dong, Yan Li, Ye Tian, Xianhong Wang
{"title":"Constant current chopping subdivision driver of stepper motor applied in harsh environment","authors":"Q. Dong, Yan Li, Ye Tian, Xianhong Wang","doi":"10.1109/ICACI.2012.6463332","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463332","url":null,"abstract":"According to the special requirements of aerospace electronic products, this paper gives a designation of constant current subdivision driver of step motor based on the FPGA. In this design, the subdivision of the Sine/Cosine waveform is used to control current waveform, while the comparison of the feedback current and control current implements the function of constant current control. The design has some advantages such as stable output torque, low noise and vibration at low speed, short time in positioning and small possibility of losing step.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"58 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":"126198145","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
The lightweight domain entailment recognition system 轻量级域蕴涵识别系统
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463283
Jun Shi, Yinglin Wang
{"title":"The lightweight domain entailment recognition system","authors":"Jun Shi, Yinglin Wang","doi":"10.1109/ICACI.2012.6463283","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463283","url":null,"abstract":"The inference ability aids to build a consolidated, consistent corpus or to search related text in a corpus. In this paper, we proposed a lightweight domain entailment recognition system which utilizes domain knowledge to recognize the atomic relations between constituents and join the atomic relations along the dependency structure. By telling the user not only the related texts existing in the corpus but also the entailment relations, redundancy or inconsistency can be prevented in advance.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"98 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":"121465435","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
New LMI-based criteria for global robust stability of neural networks with time-varying delays 基于lmi的时变时滞神经网络全局鲁棒稳定性新准则
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463197
Zhenhua Huang, B. Li
{"title":"New LMI-based criteria for global robust stability of neural networks with time-varying delays","authors":"Zhenhua Huang, B. Li","doi":"10.1109/ICACI.2012.6463197","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463197","url":null,"abstract":"In this paper, some sufficient conditions for global robust asymptotical stability of neural networks with time-varying delays are presented. On basis of the obtained results, some linear matrix inequality (LMI) criteria are derived. A comparison of the present criteria with the previous criteria is made. Moreover, an example is given to show the effectiveness of the obtained results.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"41 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":"121526090","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
Path following of the rope-drive snake-like robot 绳驱动蛇形机器人的路径跟踪
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463364
Chengzu Huang, Junyao Gao, Cheng Wang, Xuandong Su, Huaxin Liu, Xin Li, Yi Liu, Zhe Xu
{"title":"Path following of the rope-drive snake-like robot","authors":"Chengzu Huang, Junyao Gao, Cheng Wang, Xuandong Su, Huaxin Liu, Xin Li, Yi Liu, Zhe Xu","doi":"10.1109/ICACI.2012.6463364","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463364","url":null,"abstract":"As snake is one of the animals with the best obstacle performance in the nature, snake-like robot with the movement mechanism and behavioral pattern of a biological snake has broad application prospects. This paper designs a rope-drive snake-like robot driven by the friction of the rope instead of the traditional twisting forward movement pattern, the new drive mode can provide more power for the robot. Based on the follow the leader rule, this paper presents a new path following control method involving time delay in turn, and summarizes the movement pattern of the snake-like robot in theory, and then verifies the path following control method through simulation.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"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":"127919430","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: 3
Research of veneer defect identification based on coupling image decomposition and edge detection 基于图像分解和边缘检测耦合的单板缺陷识别研究
2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2012-10-01 DOI: 10.1109/ICACI.2012.6463251
Chao Wang, Achuan Wang
{"title":"Research of veneer defect identification based on coupling image decomposition and edge detection","authors":"Chao Wang, Achuan Wang","doi":"10.1109/ICACI.2012.6463251","DOIUrl":"https://doi.org/10.1109/ICACI.2012.6463251","url":null,"abstract":"Aiming at the identification difficulty of texture-rich veneer defect images, a new variation model based on coupling image texture-structure decomposition and edge extraction is proposed in this paper. Firstly, An advanced AAFC structure-texture decomposition model is obtained through extending the regular items of AAFC model; Secondly, using the semi-quadratic regularization method to obtain a new model of coupled texture extraction and edge detection, and combining with the Chambolle's projection algorithm to finish the numerical solving of the now model, and finally realizing the structure-texture decomposition and extracting the edge information of veneer defect images. The experiment results show that the new model can get better edge information while conducting the structure-texture decomposition of veneer defect images, which indicates that the effect of image edge extraction in this paper can be better than separate edge extraction.","PeriodicalId":404759,"journal":{"name":"2012 IEEE Fifth International Conference on Advanced Computational Intelligence (ICACI)","volume":"5 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":"130609177","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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