{"title":"An Adaptive Soft Decision Method for Depth Map Prediction","authors":"Tao Sun, Li Zhou","doi":"10.1109/ISCID.2012.113","DOIUrl":"https://doi.org/10.1109/ISCID.2012.113","url":null,"abstract":"Depth map prediction is the key point in Free Viewpoint Video technique. Among current depth map estimation approaches, combined temporal and interview prediction method is the most practical one for hardware design and real time processing. It is based on block search inter-prediction on various block size to get the best estimation result with specific cost function. Although much data processing bandwidth can be saved by reusing of hardware and computation resources in disparity vector prediction, it still needs to calculate all block size cost results, and has disparity prediction errors at object boundary or continuous areas, resulting in block effect and prediction noises in depth map. This paper presents an efficient adaptive soft decision method based on chrominance image segmentation. The best prediction block size is pre-determined before block search progress. So much calculation efforts are saved. Only specific block size computation is executed to get the best disparity vector prediction, instead of selecting the best one from all block size calculation results. Experiment results show that the adaptive soft decision method can enhance depth map quality efficiently with less prediction errors and computation cost. It is suitable for hardware realization and real time processing.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115350009","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}
{"title":"Retrieving Functional Knowledge from Existing Products for Reuse","authors":"C-C Gu, Jie Hu, Ying-hong Peng, Wei-ming Wang","doi":"10.1109/ISCID.2012.9","DOIUrl":"https://doi.org/10.1109/ISCID.2012.9","url":null,"abstract":"Functional modeling has been widely researched in the past decades and is considered to be effective in assisting concept design. However, construction of substantial design repository with abundant knowledge maintenance is still a problem. In this paper, we propose a model and approach for retrieve functional knowledge from existing products. First, we propose the functional knowledge retrieval model. The concept of F-S pair is introduced as functional knowledge carrier. Second, we present the approach with detailed steps based on our model and an example that capturing functional knowledge from a hydraulic jack to demonstrate our method is demonstrated. Specially, it is an iterative process for exploring all interesting functional knowledge that from high level to low level hierarchies in a product.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114786459","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}
{"title":"Exploit of Remote Monitoring and Control System for Bell Prover Device Based on Virtual Instrument","authors":"Wu Xu-Li, Zhao Yu-xiao","doi":"10.1109/ISCID.2012.196","DOIUrl":"https://doi.org/10.1109/ISCID.2012.196","url":null,"abstract":"Major in that Bell prover gas flow standard device in use is more easily influenced by environmental impacts, there are some problems that not high accuracy and low testing efficiency, etc, traditional Bell prover gas flow standard device was improved. A kind of new-style Bell Calibration System Remote Control System was designed based on the virtual instrument technology in LabVIEW platform. Moreover, it also analysis and discuss the main design points and feasibility. Use NI DAQ device realize data acquisition of the operation process, and then use LabVIEW + DSC complete bell running state monitoring and data-processing functions. By using the Web Publishing tools in LabVIEW, the monitoring and control system interface will be published on the Web page, so remote client can monitor and control the scene of industrial through the browser, the monitoring and control based on network could be easily realized. Test results show that the control system has accurate measure, safe and reliable, user-friendly interface.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127529405","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}
{"title":"Realization of Numeral Eddy Current Sensor Modeling","authors":"Shuo Ding, Youlin Yang","doi":"10.1109/ISCID.2012.137","DOIUrl":"https://doi.org/10.1109/ISCID.2012.137","url":null,"abstract":"In order to properly reflect the characteristics of numeral eddy current sensor, this paper begins with an introduction of its working principles, and the characteristic relationship(d, f) between the displacement amount of tested specimens and the output frequency of relative measuring circuits is also described. Then a mathematical modeling approach of numeral eddy current sensor relation feature(d, f) is proposed based on the basic principles of least squares estimation algorithm via the language of MATLAB, and the modeling program flowchart and the simulation results are provided as well.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"45 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124337356","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}
{"title":"A Study on the Model of Decision Support for Incentive in Logistics Cloud-Networks","authors":"L. Qin, Hu Juan","doi":"10.1109/ISCID.2012.256","DOIUrl":"https://doi.org/10.1109/ISCID.2012.256","url":null,"abstract":"In logistics cloud-networks system, the system task allocation and the collaborative operation are realized through the logistics service supply and demand information sharing and operation information updated in real time. the integrated system can get more profit than the independent operation. the paper established a decision support model of incentive, considered the motivational factor, input the data of supply service behavior information collected from cloud-networks information platform, and get the income distribution decision support scheme, which can be used to inspire each agent with independent interest to take active collaborative decision making and cooperative behavior. It can be used as method and knowledge discovery in decision support model\", \"with important significance for the management to maintain logistics network information platform in theory and practice.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131465142","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}
{"title":"A Modified Dynamic Particle Swarm Optimization Algorithm","authors":"Liu Wen","doi":"10.1109/ISCID.2012.114","DOIUrl":"https://doi.org/10.1109/ISCID.2012.114","url":null,"abstract":"Inspired from social behavior of organisms such as bird flocking, particle swarm optimization(PSO) has rapid convergence speed and has been successfully applied in many optimization problems. in this paper, we present a dynamic particle swarm optimization algorithm to enhance the performance of standard PSO. We design a novel function to compute the initial dynamic inertia weight, and then calculate inertia weight through a nonlinear function. Afterwards, searching process is repeated until the max iteration number is reached or the minimum error condition is satisfied. to testify the effectiveness of the proposed algorithm, we conduct two experiments. Experimental results show that our algorithm performs better than FPSO and standard PSO in best fitness and convergence speed.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131575462","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}
{"title":"Improvement Based on Data Version Management in TM","authors":"Y. Liu, Ying Xie, Yuefan Hao, Fuxiang Gao","doi":"10.1109/ISCID.2012.85","DOIUrl":"https://doi.org/10.1109/ISCID.2012.85","url":null,"abstract":"In order to promote parallel computing in multi-cores, transactional memory is studied. Several transactional memory systems are introduced in this paper. to compare the performance of STM library implementations with different types of write acquisition and write versioning, RSTM and genome application is used in this paper. by analyzing the results of genome application tested on these STM library implementations of RSTM, it is concluded that the EE type may not be suitable for genome application compared with LL type. We can choose the type of the STM library implementation based on RSTM in our later program to improve performance.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131325623","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}
{"title":"Particle Swarm Optimization Based on Genetic Operators for Sensor-Weapon-Target Assignment","authors":"Huadong Chen, Zhong Liu, Yue Sun, Yunfan Li","doi":"10.1109/ISCID.2012.194","DOIUrl":"https://doi.org/10.1109/ISCID.2012.194","url":null,"abstract":"In the modern battlefields based on network, guided weapons highly rely on the sensors, so the benefit of assigning a given weapon to a target often depends on the pre-assigned sensor. in order to solve sensor-weapon-target (SWT) assignment which is an important activity involved in planning and executing a course of battle action, a model of SWT problem is established firstly. Secondly, particle swarm optimization based on genetic operators is put forward to solve the model, in which the restriction of problems is transformed by coding solutions, according to optimal solutions of population and individual, the new particle is updated by crossover, mutation and selection operators. Finally, after the numerical experiment of the algorithm, it is proved to be feasible and effective, especially in solving large-scale problems, it shows much better performance.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124698154","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}
{"title":"Biological Cell Image Segmentation Using Novel Hybrid Morphology-Based Method","authors":"Jiezhen Xie, Xiaoqing Yu, Xuling Zheng","doi":"10.1109/ISCID.2012.202","DOIUrl":"https://doi.org/10.1109/ISCID.2012.202","url":null,"abstract":"In this paper, we propose a novel hybrid method for the segmentation and automatic counting of biological cell image. The method is based on techniques of morphology, thresholding and watershed. It performs well in low contrast image where gradient-based method may fail. Experimental results on practical cell images are shown in the paper with the emphasis on the comparisons between the novel hybrid method and the gradient-based methods: Sobel [1], Canny [2] and GAC [3] of level-set.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"8 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120990221","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}
{"title":"Spares Consumption Combination Forecasting Based on Genetic Algorithm and Exponential Smoothing Method","authors":"Guo Feng, Liu Chen-yu, Zhou Bin, Zhang Su-qin","doi":"10.1109/ISCID.2012.201","DOIUrl":"https://doi.org/10.1109/ISCID.2012.201","url":null,"abstract":"In view of the characteristics that the linear exponential smoothing, secondary exponential smoothing, cubic exponential smoothing had different fitting degree when predicted the spares with the different consumption discipline, optimized results of these three methods through the combination prediction model, and solved it by genetic algorithm and used the obtained results with minimum error as spares consumption quota. the prediction results show that the model predicts accurately, with high utility and promotion.","PeriodicalId":246432,"journal":{"name":"2012 Fifth International Symposium on Computational Intelligence and Design","volume":"76 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120810394","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}