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2008 First International Conference on Intelligent Networks and Intelligent Systems最新文献

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ANN Control of Inverted Pendulum 倒立摆的神经网络控制
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.14
Junfeng Wu, H. Su, Tengfei Wu
{"title":"ANN Control of Inverted Pendulum","authors":"Junfeng Wu, H. Su, Tengfei Wu","doi":"10.1109/ICINIS.2008.14","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.14","url":null,"abstract":"This paper makes a study of the application of ANN control neural network BP algorithm in stabilizing control of inverted pendulum system and designs neural network controller based on rule base. The researching results of this paper are applied to linear inverted pendulum experiment equipment produced by Googol Technology LTD. so as to verify the effectiveness of the control law. The results of experiments prove that the controller via this method has a good control effect.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132066372","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: 5
Research of Measurement on Insulator's Contact Angles Based on Image Processing 基于图像处理的绝缘子接触角测量方法研究
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.46
Tao Wei-liang, Wang Xian-pei, Wang Quan-de, Cheng Ping
{"title":"Research of Measurement on Insulator's Contact Angles Based on Image Processing","authors":"Tao Wei-liang, Wang Xian-pei, Wang Quan-de, Cheng Ping","doi":"10.1109/ICINIS.2008.46","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.46","url":null,"abstract":"The contamination flashover resistant performance of an insulator is due to the hydrophobicity on its surface. So measuring the hydrophobicity of insulators is an important way to evaluate their performance. This research proposes a method to auto-detect insulatorpsilas contact angles with image processing and curve fitting. According to the characteristic of water drop on insulatorpsilas surface, the median filter and the gray stretch are adopted to preprocess the water drop image. The edge detection algorithm with the Robert operator and the iterative arithmetic on optimized threshold for region partition are deployed to implement image segmentation. The proposed method combines iterative arithmetic for sketch extraction and the neighborhood arithmetic for outline tracking to find the corresponding water drop contour. Then, the polynomial fitting is deployed to fit the discrete points on the drop contour and the contact angles can be calculated by derivation from the polynomial deduced from the polynomial fitting. Experiments show that the method is feasible for detecting the accurate contact angles and the root mean square error is below 2%.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114674447","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 Single-Hop Delay Probe Algorithm in Multi-Homed Host 一种新的多主机单跳延迟探测算法
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.84
L. Han, Jinkuan Wang, Cuirong Wang
{"title":"A Novel Single-Hop Delay Probe Algorithm in Multi-Homed Host","authors":"L. Han, Jinkuan Wang, Cuirong Wang","doi":"10.1109/ICINIS.2008.84","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.84","url":null,"abstract":"The rapid developments of communication and computer hardware technology in the last few years have given rise to a strong research interest in Concurrent Multi-Path (CMP) technology. Based on the comparison with conventional single path forward and random CMP forward, a novel Single-hop Delay Probe (SDP) algorithm for CMP forward in multi-homed host is proposed. NS2 simulations prove that SDP algorithm reduces the performance degradation of different paths and achieves a better bandwidth performance with certain memory overhead.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122715896","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: 4
HMT Model and B-Spine Wavelet Based Intelligent Medical Image Edge Extraction Algorithm 基于HMT模型和B-Spine小波的智能医学图像边缘提取算法
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.138
A. Wang, Zhaowei Gu, Wang Bo, Gongjian Shen
{"title":"HMT Model and B-Spine Wavelet Based Intelligent Medical Image Edge Extraction Algorithm","authors":"A. Wang, Zhaowei Gu, Wang Bo, Gongjian Shen","doi":"10.1109/ICINIS.2008.138","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.138","url":null,"abstract":"A new medical image edge extraction algorithm is proposed to extract the significant edge of the medical image to avoid the interference of the internal noise and the external noise. The information measure combined with simulated annealing algorithm is used to remove the internal noise; then wavelet domain HMT model is used to denoise; at last we design quadratic B-spline wavelet to extract the edge feature information. The quadratic B-spline smoothing filter performing multi-scale filtering is designed using the characteristics of wavelet transform. The obtained multi-scale wavelet transform is combined to extract image edge at different scales. The experiment results of computer simulation show that the proposed edge extraction algorithm provides the best compromise between noise rejection and accurate edge localization.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129768890","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 Coarse-Grained Genetic Algorithm for the Optimal Design of the Flexible Multi-Body Model Vehicle Suspensions Based on Skeletons Implementing 基于骨架实现的柔性多体汽车悬架优化设计粗粒度遗传算法
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.172
Guangyuan Liu, Jingjun Zhang, Ruizhen Gao, Yang Sun
{"title":"A Coarse-Grained Genetic Algorithm for the Optimal Design of the Flexible Multi-Body Model Vehicle Suspensions Based on Skeletons Implementing","authors":"Guangyuan Liu, Jingjun Zhang, Ruizhen Gao, Yang Sun","doi":"10.1109/ICINIS.2008.172","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.172","url":null,"abstract":"A parallel genetic algorithm based coarse-grained module for the optimal design of the flexible multi-body model vehicle suspensions is presented and the skeleton implementing is constituted in this paper. This paper tests the algorithm on the cluster system. The results show that the application of the algorithm presented in this paper outperforms equivalent sequential genetic algorithms for the optimization and also improves the efficiency of the computing time. We also compare the coarse-grained genetic algorithm with the master-slave genetic algorithm, and find the result of the genetic algorithm based coarse-grained is better than the result of the parallel genetic algorithm based master-slave module.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128972160","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: 8
The Application of Wireless Sensor Networks to In-Service Motor Monitoring and Energy Management 无线传感器网络在役电机监测与能量管理中的应用
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.30
Jingtao Hu
{"title":"The Application of Wireless Sensor Networks to In-Service Motor Monitoring and Energy Management","authors":"Jingtao Hu","doi":"10.1109/ICINIS.2008.30","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.30","url":null,"abstract":"This paper presents an application of wireless sensor networks (WSN) to an in-service motor monitoring and energy management system. Based on the IEEE 802.15.4 standard, wireless sensor devices are developed in the proposed system. The motor current and voltage signals are acquired and analyzed by a DSP device to get the condition of motors, and the results are transmitted over the wireless network to a central supervisory station (CSS), where they are stored, displayed and analyzed to meet the requirement of motor monitoring and energy management. This approach greatly reduces the transmission time. That makes the proposed system acceptable in real-time cases. The wireless sensor devices are demonstrated and the test results are given.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125360864","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: 14
A New Elastic Registration Algorithm of Medical Image Based on Markov-Gibbs Random Field Model and B-Spline Wavelet 基于Markov-Gibbs随机场模型和b样条小波的医学图像弹性配准新算法
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.89
Hua Li, Bo Wang, Zhaowei Gu, A. Wang
{"title":"A New Elastic Registration Algorithm of Medical Image Based on Markov-Gibbs Random Field Model and B-Spline Wavelet","authors":"Hua Li, Bo Wang, Zhaowei Gu, A. Wang","doi":"10.1109/ICINIS.2008.89","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.89","url":null,"abstract":"A new elastic registration algorithm is proposed in this paper, which applies Markov-Gibbs random fields (MGRF) model to the elastic registration field of medical images. The algorithm is constructed by integrating the elastic registration algorithm based on B-spline wavelet and the priori knowledge of the maximum likelihood (ML) and maximum a posteriori (MAP) estimation into a MGRF model. In the MGRF model, the reference and test images are the known conditions and B-spline wavelet is the basis function constructing the elastic deformation function. The coefficients of B-spline wavelet in the deformation function are the parameters to be evaluated. Various medical images are selected to verify the algorithm, which show that the new algorithm is superior to the elastic registration one without priori knowledge.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124654456","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: 4
Simulation of Dynamic Inversion with Neural Network and its Applications to MAV 神经网络动态反演仿真及其在MAV中的应用
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.56
He Guang-lin, Wu Guo-hui
{"title":"Simulation of Dynamic Inversion with Neural Network and its Applications to MAV","authors":"He Guang-lin, Wu Guo-hui","doi":"10.1109/ICINIS.2008.56","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.56","url":null,"abstract":"The MAV accurate modes are typically unavailable. Most traditional methods for system design are complex and can not get satisfactory effect. Recent work in dynamic inversion with neural network may be applied to control a MAV where the reference commands include position, velocity, attitude and angular rate. This control technology can provide the MAV with an admirably command follow and steady control capability. Neural networks are used directly as the controller as well as indirect designs that are based on a neural network process model. The emulator is compiled by using NNCTRL20 and NNSYSID20 in MATLAB. Then the main result of this simulation is presented. It indicates that the method has high precision and strong stability, which can serve the control of MAV. Thereafter, an amendment about controlling system with dynamic inversion of the MAV is described.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"30 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120932274","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 Cascading Model on Scale-Free Network with Tunable Parameter 参数可调的无标度网络级联模型
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.8
Jianwei Wang, Lili Rong, L. Zhang
{"title":"A New Cascading Model on Scale-Free Network with Tunable Parameter","authors":"Jianwei Wang, Lili Rong, L. Zhang","doi":"10.1109/ICINIS.2008.8","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.8","url":null,"abstract":"In this paper, we examine the cascading failure on BA networks with scale-free property based on a load redistribution rule. Assuming that the robustness is quantified by the critical threshold Tc, at which a phase transition occurs from normal state to collapse, we find the strongest robustness against cascading failures in the case of alpha =1, which is a tunable parameter in our model. We further discuss the correlations between the average degree <k> of BA network and Tc, and draw the conclusion that Tc has a negative correlation with the average degree <k>, i.e., the bigger the value of <k>, the smaller the critical threshold Tc. These results may be very helpful for real-life networks to avoid cascading-failure-induced disasters.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116702927","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
Dynamic Characteristics Modeling of a Heat Exchanger Using Neural Network 基于神经网络的换热器动态特性建模
2008 First International Conference on Intelligent Networks and Intelligent Systems Pub Date : 2008-11-01 DOI: 10.1109/ICINIS.2008.16
Youen Zhao, Shou-jun Zhou, L. Li
{"title":"Dynamic Characteristics Modeling of a Heat Exchanger Using Neural Network","authors":"Youen Zhao, Shou-jun Zhou, L. Li","doi":"10.1109/ICINIS.2008.16","DOIUrl":"https://doi.org/10.1109/ICINIS.2008.16","url":null,"abstract":"To accurately obtain dynamic characteristics of a heat exchanger, black-box modeling method and gray-box modeling method were used with the help of neural network technology. The black-box model directly used the heat exchanger's input and output data to train the neural network. It constantly adjusted the network's weight to record the system's dynamic characteristics, and then predict output. Having known the heat exchanger's operating point, the gray-box model used filtered input and output data to train the neural network. It also identified the model parameters at the operating point, and then predicted output. By comparing experimental data of the two models, the results show that the gray-box model is better than the black-box model on hidden layer nodes, network training, errors and prediction accuracy.","PeriodicalId":185739,"journal":{"name":"2008 First International Conference on Intelligent Networks and Intelligent Systems","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126772945","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: 9
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