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The Optimization Research for the Control of Temperature on the SinglechipSystem Based on Particle Swarm Optimization 基于粒子群算法的单片机温度控制优化研究
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011784
Jin Li
{"title":"The Optimization Research for the Control of Temperature on the SinglechipSystem Based on Particle Swarm Optimization","authors":"Jin Li","doi":"10.2174/1874444301507011784","DOIUrl":"https://doi.org/10.2174/1874444301507011784","url":null,"abstract":"According to the temperature measurement in the medical machine, the activity measurement of the biological tissue should be achieved in the same environment with living human system. Aiming at the applicational for the tempera- ture, a temperature controller based on the singlechip system is proposed to realize the measurement system. The modern control theory is used to analysis the controlling system which is based on the mathematic model and the state equation. The mehod that controlling the temperature be close to the target value and changing the parameter to reduce the error of the temperature is proposed which is based on the Particle Swarm Optimization (PSO). And the simulation results show that this method is adaptive with the temperature and the controlling way is feasilble. Then a singlechip system which is based on the chip PIC16C72A, is realized to slove the controlling problem. The experiments show that the scheme is equipped with accuracy and stability.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116914910","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
Data Mining Algorithm Based on Fuzzy Neural Network 基于模糊神经网络的数据挖掘算法
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011930
Wu Jianhui, Su-min Yu, Shao Hongbo, Yin Su-feng, Xue Ling, Hu Bo, Wang Guoli
{"title":"Data Mining Algorithm Based on Fuzzy Neural Network","authors":"Wu Jianhui, Su-min Yu, Shao Hongbo, Yin Su-feng, Xue Ling, Hu Bo, Wang Guoli","doi":"10.2174/1874444301507011930","DOIUrl":"https://doi.org/10.2174/1874444301507011930","url":null,"abstract":"In this paper, the fuzzy neural network is selected as the algorithm for data mining (DM), introducing the artificial neural network into the fuzzy logic by treating it as a computing tool, it is a networklized description form by using the artificial neural network as the membership function in a fuzzy system, fuzzy rules and extension principle. The fuzzy neural network (FNN) is selected as the algorithm for data mining. By combining the fuzzy theory with neural network, using the strong nonlinear processing ability of FNN, finding the classification after producing a fuzzy partition neural network training, using thresholds and extracting rules, finally, the validity of this algorithm is verified, comparing with other fuzzy neural network, the neural network is faster learning speed and smaller in size. It owns has a good application prospect.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"513 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123183038","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 Simulation System Using DOF Picking Robot 基于自由度拾取机器人的动态仿真系统
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011746
Xiaojun Liu
{"title":"Dynamic Simulation System Using DOF Picking Robot","authors":"Xiaojun Liu","doi":"10.2174/1874444301507011746","DOIUrl":"https://doi.org/10.2174/1874444301507011746","url":null,"abstract":"A visualized dynamic simulation platform of picking robot based on OpenGL and Matlab is established in or- der to verify the validity of kinematics analysis and visually reflect the motion process.The robot kinematic model is es- tablished with D-H method and the forward kinematic solution for the robot is obtained. The inverse kinematic solution is solved by using the simplified inverse transformation method according to the operation features of the robot. Solidworks is adopted to set up 3D robot model, which is transformed through Deep Exploration into cpp formatted files that can be recognized by OpenGL. Visualized simulation verification is conducted on the forward and the inverse kinematic solution and the grabbing motion of the manipulator are conducted on the simulation platform based on VisualC++6.0 and OpenGL. Track planning is carried out for each of the manipulator joints by means of Matlab Robotics Toolbox. It is il- lustrated by the simulation results that the kinematic model established by D-H approach reflects the real motion condi- tions of the robot, and both the forward and inverse kinematic solutions are correct.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129909553","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 the Discrete-time Control System of Electromagnetic SpeedRegulating Shearer 电磁调速采煤机离散控制系统的研究
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011882
He Mingxing, Liu Jiangong, Liu Yang
{"title":"Research on the Discrete-time Control System of Electromagnetic SpeedRegulating Shearer","authors":"He Mingxing, Liu Jiangong, Liu Yang","doi":"10.2174/1874444301507011882","DOIUrl":"https://doi.org/10.2174/1874444301507011882","url":null,"abstract":"On the basis of review research on the control mechanism of the electromagnetic speed regulating shearer, a mathematical model with dual-loop control system of continuous-time system of electromagnetic speed regulating shearer was built. According to the control types and characteristics of each link in the continuous control system, the pulse transfer function was adopted in the discrete time domain to deduce the expression form of Z transformation parameters system of the discrete-time model. The stability of the system and operation characteristics of electromagnetic speed regulating shearer were analyzed on the Z plane; the response curves of discrete controller and frequency response curve of the system of the step signal were simulated in the zero-order holder. By combining the actual electromagnetic speed regulating shearer, the relevant application programs were written to respectively test the electromagnetic speed regulating shearer in the dual–closed loop control system under the conditions of no-load, free parking and the applied load so as to contrast the consistency of test data and simulation results.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128145339","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
Fault Detection of Train Center Plate Bolts Loss Using Modified LBP andOptimization Algorithm 基于改进LBP和优化算法的列车中板螺栓损耗故障检测
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011916
Zhang Hongjian, He Ping, Y. Xudong
{"title":"Fault Detection of Train Center Plate Bolts Loss Using Modified LBP andOptimization Algorithm","authors":"Zhang Hongjian, He Ping, Y. Xudong","doi":"10.2174/1874444301507011916","DOIUrl":"https://doi.org/10.2174/1874444301507011916","url":null,"abstract":"This paper presents a novel approach to fault detection of train center plate bolts loss based on Local Binary Patterns (LBP) and Gabor-GA optimization theory. A modified LBP operator including the positive-negative sign and magnitude components of local gray difference is introduced to extract much more texture information. Multi-channel Gabor wavelet with different scales and orientations is applied on the images to create new representations in the spatial domain. Then, the weight of each Gabor channel can be optimized through the Genetic Algorithm (GA) to obtain enhanced features. Finally, the weighted features are concatenated together and delivered into Support Vector Machine (SVM) network for classification. Experimental results show that the new approach can be an effective and reliable measure for monitoring fault.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129944340","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
Hyperspectral Image Denoising Based on Nonlocal Low Rank DictionaryLearning 基于非局部低秩字典学习的高光谱图像去噪
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011813
Zeng Zhihua, Zhou Bing, Li Cong
{"title":"Hyperspectral Image Denoising Based on Nonlocal Low Rank DictionaryLearning","authors":"Zeng Zhihua, Zhou Bing, Li Cong","doi":"10.2174/1874444301507011813","DOIUrl":"https://doi.org/10.2174/1874444301507011813","url":null,"abstract":"In allusion to hyperspectral remote sensing image denoising problem, the article proposes an image denoising algorithm based on nonlocal low rand dictionary learning. The basic thought of the algorithm is to make use of the strong correlation among various wavebands of the hyperspectral remote sensing image and meanwhile combine the nonlocal self-similarity and the local sparseness of an image to improve denoising performance. Firstly, combine the strong correlation of waveband images, the nonlocal self-similarity and the local sparseness to establish nonlocal low rank dictionary learning model. Then, adopt iterative method to solve the model to obtain redundant dictionary and sparse representation coefficient. Finally, adopt redundant dictionary and sparse representation coefficient to recover the image. Compared with existing advanced algorithms, due to the adoption of such strong correlation among various wavebands of the hyperspectral image, the algorithm mentioned in the article can well reserve the detailed information of the hyerspectral remote sensing image and improve visual effect. Meanwhile, the test result has verified the effectiveness of the algorithm mentioned in the article.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122223091","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 Research on the Multiple Kernel Learning-based Face Recognition inPattern Matching 基于多核学习的模式匹配人脸识别研究
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011796
Shan Feng
{"title":"The Research on the Multiple Kernel Learning-based Face Recognition inPattern Matching","authors":"Shan Feng","doi":"10.2174/1874444301507011796","DOIUrl":"https://doi.org/10.2174/1874444301507011796","url":null,"abstract":"The paper analyses the multiple kernel learning-based face recognition in pattern matching area. Based on the analysis of the basic theory of multiple kernel SVM, this thesis focuses on the multiple kernel SVM algorithm based on semi-infinite linear program (SILP), including SILP based on column generation (CG) and SILP based on chunking algo- rithm (CA). The two SILP improved algorithms are applied to several classification problems, including UCI binary clas- sification problem datasets and multi-classification problem datasets. Furthermore, the two SILP improved algorithms are applied to the actual problems of face recognition. The experiment data shows that with the multiple kernel learning-based method, the performance of face recognition can be obviously improved.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132440144","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
Adaptability Among Power Source, Power Grid and Load Based on Game Theory 基于博弈论的电源、电网和负荷之间的适应性
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011776
C. Weihua, L. Lianguang, C. Yanwei
{"title":"Adaptability Among Power Source, Power Grid and Load Based on Game Theory","authors":"C. Weihua, L. Lianguang, C. Yanwei","doi":"10.2174/1874444301507011776","DOIUrl":"https://doi.org/10.2174/1874444301507011776","url":null,"abstract":"The coordinated development of power grid and load is one of the basic factors to optimize the social resources and to improve the equipment utilization. The decision makers of power grid and load are different. And their focuses are also different. These may result the two partner may of missing each other in the development. And these may lead to oc- currence of idle equipment or bayonet of power supply. Therefore, improving the level of mutual adaptation of power grid and the load development is the necessary condition to promote the coordinated development of power grid and load. In this paper, a method is proposed to analysis the adaptability level of power grid and load. The method establishes a game model of power grid and load. And optimal power flow is applied to analysis of interaction between power grid and load. Incomes of power grid and load in various strategies are calculated to establish the Nash equilibrium. These explain be- haviors of power grid and load respectively. And these provide the basis for the decision. The proposed method is applied in two systems.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129650438","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
Exploiting Randomized Prim’s Algorithm and Background Contrast forSaliency Detection 利用随机Prim算法和背景对比度进行显著性检测
The Open Automation and Control Systems Journal Pub Date : 2015-10-20 DOI: 10.2174/1874444301507011855
Jianyong Lv, Zhenmin Tang, Xu Wei
{"title":"Exploiting Randomized Prim’s Algorithm and Background Contrast forSaliency Detection","authors":"Jianyong Lv, Zhenmin Tang, Xu Wei","doi":"10.2174/1874444301507011855","DOIUrl":"https://doi.org/10.2174/1874444301507011855","url":null,"abstract":"The geodesic saliency method in the literature was based on the boundary and connectivity priority, which as- sumed that most of the background regions can touch the image boundaries. It cannot deal with the images with complex backgrounds or variant textures. To address such problem, we propose an improved saliency detection method by involv- ing the important foreground priority. First, the statistical results of randomized Prim's algorithm are used to generate a coarse conspicuity map, which aims to roughly estimate the potential foreground. Then, the image is over-segmented into some individual superpixels and an affinity propagation clustering method is used to group the superpixels having a simi- lar color appearance together. This is followed by the foreground probability map computation through the spatial interac- tion information between the coarse conspicuity map and superpixel based color clusters. The final saliency map is gener- ated by integrating the above foreground probability map and background color contrast in a unified way. The quantitative and qualitative comparisons on the benchmark dataset MSRA-1000 and SED show that our method outperforms many re- cent proposed state-of-the-art approaches significantly.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133439270","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 Monitoring System Research of the River Water Quality Based onGIS 基于onGIS的河流水质监测系统研究
The Open Automation and Control Systems Journal Pub Date : 2015-10-09 DOI: 10.2174/1874444301507011715
Liwei Liu
{"title":"The Monitoring System Research of the River Water Quality Based onGIS","authors":"Liwei Liu","doi":"10.2174/1874444301507011715","DOIUrl":"https://doi.org/10.2174/1874444301507011715","url":null,"abstract":"In this paper, the GIS technology and river water quality monitoring were integrated to design an intelligent water environment monitoring and disaster warning system. The designed system can not only provide web publishing service for water environment monitoring, but it can also prompt to the user the possibility of water disaster according to the change of some important parameters in water, to realize the warning in advance. That can make the monitoring sys- tem more intelligent to avoid water disaster.","PeriodicalId":153592,"journal":{"name":"The Open Automation and Control Systems Journal","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122035352","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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