Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5072959
Q. Jiang, X. Wan
To improve the performance of PSO (Particle Swarm Optimization), a modified algorithm named CDPSO (Colony Density Particle Swarm Optimization) is presented based on the comprehension that the space density character of particles embodies the convergence speed and global optimization ability of particle swarm. By the way of adopting dynamic nonconforming inertia coefficient and acceleration coefficient according to density factor, a high efficient global search PSO algorithm is achieved. For the purpose of application in underground engineering design conveniently, a new method of coupling CDPSO and FLAC, an excellent aided design software in underground engineering, is put forward. The CDPSO-FLAC coupling method implements the cooperation between optimization searching and safety calculation of engineering by embedding the CDPSO algorithm into computational kernel of FLAC. The method is used successfully in the support design of a northwest tunnel in China.
为了提高粒子群算法的性能，基于粒子的空间密度特征体现了粒子群的收敛速度和全局寻优能力，提出了一种改进的粒子群算法CDPSO (Colony Density Particle Swarm Optimization)。通过采用基于密度因子的动态惯性系数和加速度系数，实现了一种高效的全局搜索粒子群算法。为了方便地应用于地下工程设计，提出了一种将CDPSO与地下工程辅助设计软件FLAC进行耦合的新方法。CDPSO-FLAC耦合方法通过将CDPSO算法嵌入到FLAC计算核中，实现了优化搜索与工程安全计算的协同。该方法已成功应用于西北某隧道的支护设计中。
{"title":"Modified PSO-FLAC Coupling Optimum Method and Application in Underground Engineering Design","authors":"Q. Jiang, X. Wan","doi":"10.1109/IWISA.2009.5072959","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072959","url":null,"abstract":"To improve the performance of PSO (Particle Swarm Optimization), a modified algorithm named CDPSO (Colony Density Particle Swarm Optimization) is presented based on the comprehension that the space density character of particles embodies the convergence speed and global optimization ability of particle swarm. By the way of adopting dynamic nonconforming inertia coefficient and acceleration coefficient according to density factor, a high efficient global search PSO algorithm is achieved. For the purpose of application in underground engineering design conveniently, a new method of coupling CDPSO and FLAC, an excellent aided design software in underground engineering, is put forward. The CDPSO-FLAC coupling method implements the cooperation between optimization searching and safety calculation of engineering by embedding the CDPSO algorithm into computational kernel of FLAC. The method is used successfully in the support design of a northwest tunnel in China.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83154929","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5072874
Pengzhong Li, Weimin Zhang, Can Chen
In the process of product manufacturing, control of assembly error will directly affect product working behavior. Variation of working behavior with assembly error was partitioned to three phases: compensation phase, rapid loss phase and total loss phase. Based on changing curve of product behavior, Function of behavior loss was constructed to describe behavior loss resulting from assembly error of a part of product. The conception and calculating method of behavior loss index (BLI) are given to reflect behavior changing status of whole product under certain assembly accuracy. Based on Jacobian- Torsor method, the Jacobian-Torsor tolerance model, considering impact factors of working condition, was extended and corrected, the assembly error resulted from working environment can be calculated. Combined with BLI, the calculated results can be used to forecast product behavior change lead by working load. The forecast can help to determine next measurement adopted. Finally, an example was used to demonstrate calculating procedure of given method.
{"title":"Forecasting Method of Product Behavior Change Under Working Environment","authors":"Pengzhong Li, Weimin Zhang, Can Chen","doi":"10.1109/IWISA.2009.5072874","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072874","url":null,"abstract":"In the process of product manufacturing, control of assembly error will directly affect product working behavior. Variation of working behavior with assembly error was partitioned to three phases: compensation phase, rapid loss phase and total loss phase. Based on changing curve of product behavior, Function of behavior loss was constructed to describe behavior loss resulting from assembly error of a part of product. The conception and calculating method of behavior loss index (BLI) are given to reflect behavior changing status of whole product under certain assembly accuracy. Based on Jacobian- Torsor method, the Jacobian-Torsor tolerance model, considering impact factors of working condition, was extended and corrected, the assembly error resulted from working environment can be calculated. Combined with BLI, the calculated results can be used to forecast product behavior change lead by working load. The forecast can help to determine next measurement adopted. Finally, an example was used to demonstrate calculating procedure of given method.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79195728","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5072934
Zhao Min, Huixian Yang, Wei Juan, X. Ou
How to choose the best or near kernel function to reduce test error rate is the key of KPCA applied to extract nonlinear feature. In this article, on the basis of research of CA, PSO, we propose a programmer flow of CBPSO used for training kernel function and build CBPSO-KPCA. This approach can effectively optimize kernel function. Simulation results show that produces highly competitive results at a relatively low computational cost. Keywords—CBPSO algorithms; KPCA; feature extraction CA(Cultural Algorithm) is considered as a new evolutionary algorithm (1) . It is originated by Reynolds in 1994. The PSO (Particle swarm optimization) is originated by Eberhart (2) . It is begun in the development of bird's hunt behavior. In the article the PSO is combined with the CA model. It is full use of PSO's swift evolution ability and via the inheritance operation in the CA model to increase the variety of the population together; all these are built the CBPSO (Cultural based PSO). The KPCA (Kernel Principle Component Analysis, KPCA) is the technique of input and output characteristic non-linear change (3) , the analysis of in the characteristic space, in order to obtain a optimization characteristic change in the ability of failure test identify. Because of the existence of selecting all kinds of kernel functions and parameter, how to select the optimization of kernel function and parameter in order to reach the optimization test effect, is a problem and unsolved yet. According to the characteristic of kernel function parameter optimization, the article designs a new algorithm, use the CBPSO to train the kernel function, use the CBPSO-KPCA algorithm for feature extraction. The simulation experiment shows that the combine heightens the optimization of kernel function effectively, it overcome the difficulty of kernel function application in some extents.
如何选择最优或最接近的核函数来降低测试错误率是应用KPCA提取非线性特征的关键。本文在对CA、PSO进行研究的基础上，提出了一种用于核函数训练的CBPSO编程流程，并构建了CBPSO- kpca。该方法可以有效地优化核函数。仿真结果表明，该方法以较低的计算成本获得了极具竞争力的结果。Keywords-CBPSO算法;KPCA;特征提取CA(Cultural Algorithm)被认为是一种新的进化算法(1)。它是由雷诺兹于1994年首创的。粒子群优化算法是由Eberhart(2)提出的。它开始于鸟类捕猎行为的发展。本文将粒子群算法与CA模型相结合。该算法充分利用粒子群算法的快速进化能力，并通过CA模型中的遗传操作，共同增加种群的多样性;所有这些都建立了CBPSO(基于文化的PSO)。KPCA (Kernel principal Component Analysis, KPCA)是一种对输入输出特征的非线性变化(3)，在特征空间中进行分析，从而获得一种优化的特征变化的故障试验识别能力的技术。由于存在选择各种核函数和参数的问题，如何选择优化的核函数和参数以达到优化测试效果，是一个尚未解决的问题。根据核函数参数优化的特点，本文设计了一种新的算法，使用CBPSO训练核函数，使用CBPSO- kpca算法进行特征提取。仿真实验表明，该组合有效地提高了核函数的优化，在一定程度上克服了核函数应用的困难。
{"title":"KPCA Feature Extraction Based on CBPSO","authors":"Zhao Min, Huixian Yang, Wei Juan, X. Ou","doi":"10.1109/IWISA.2009.5072934","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072934","url":null,"abstract":"How to choose the best or near kernel function to reduce test error rate is the key of KPCA applied to extract nonlinear feature. In this article, on the basis of research of CA, PSO, we propose a programmer flow of CBPSO used for training kernel function and build CBPSO-KPCA. This approach can effectively optimize kernel function. Simulation results show that produces highly competitive results at a relatively low computational cost. Keywords—CBPSO algorithms; KPCA; feature extraction CA(Cultural Algorithm) is considered as a new evolutionary algorithm (1) . It is originated by Reynolds in 1994. The PSO (Particle swarm optimization) is originated by Eberhart (2) . It is begun in the development of bird's hunt behavior. In the article the PSO is combined with the CA model. It is full use of PSO's swift evolution ability and via the inheritance operation in the CA model to increase the variety of the population together; all these are built the CBPSO (Cultural based PSO). The KPCA (Kernel Principle Component Analysis, KPCA) is the technique of input and output characteristic non-linear change (3) , the analysis of in the characteristic space, in order to obtain a optimization characteristic change in the ability of failure test identify. Because of the existence of selecting all kinds of kernel functions and parameter, how to select the optimization of kernel function and parameter in order to reach the optimization test effect, is a problem and unsolved yet. According to the characteristic of kernel function parameter optimization, the article designs a new algorithm, use the CBPSO to train the kernel function, use the CBPSO-KPCA algorithm for feature extraction. The simulation experiment shows that the combine heightens the optimization of kernel function effectively, it overcome the difficulty of kernel function application in some extents.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84757444","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5072622
Qingcong Lv, Fan Yang, Qiying Cao
Due to the large success of wireless networks and portable devices, the ubiquitous computing paradigm is becoming a reality. Service-oriented architectures are among the premier middleware approaches to coping with the dynamicity of ubiquitous computing environments. One of the most challenging objectives to be achieved in ubiquitous computing environments is to allow a user to perform tasks by composing on the fly the environment's service and resource components. In this paper we propose a general service composition model for ubiquitous computing which based on semantic service matchmaking and genetic algorithm-based optimization of service selection. Based on the model, a ubiquitous computing architecture is given.
{"title":"A General QoS-Aware Service Composition Model for Ubiquitous Computing","authors":"Qingcong Lv, Fan Yang, Qiying Cao","doi":"10.1109/IWISA.2009.5072622","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072622","url":null,"abstract":"Due to the large success of wireless networks and portable devices, the ubiquitous computing paradigm is becoming a reality. Service-oriented architectures are among the premier middleware approaches to coping with the dynamicity of ubiquitous computing environments. One of the most challenging objectives to be achieved in ubiquitous computing environments is to allow a user to perform tasks by composing on the fly the environment's service and resource components. In this paper we propose a general service composition model for ubiquitous computing which based on semantic service matchmaking and genetic algorithm-based optimization of service selection. Based on the model, a ubiquitous computing architecture is given.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88793002","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5073220
Shuang Liu, Peng Chen
To be represented in tabular form and graphical format in ship electronic navigation system, printing tidal material must be processed into textual information, which is completed by an automatic tide table recognition module consisting of a feature extractor and a classifier. In feature extraction, a new wavelet part grid feature is defined based on wavelet's directive characteristics. In classification phase, multi-class SVM classifier is used instead of neural networks. Experiments show that the wavelet grid feature has good stability and satisfactory distinction, and SVM classifiers have better generalization performance than that of neural networks.
{"title":"Tide Table Digit Recognition Based on Wavelet-Grid Feature Extraction and Support Vector Machine","authors":"Shuang Liu, Peng Chen","doi":"10.1109/IWISA.2009.5073220","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073220","url":null,"abstract":"To be represented in tabular form and graphical format in ship electronic navigation system, printing tidal material must be processed into textual information, which is completed by an automatic tide table recognition module consisting of a feature extractor and a classifier. In feature extraction, a new wavelet part grid feature is defined based on wavelet's directive characteristics. In classification phase, multi-class SVM classifier is used instead of neural networks. Experiments show that the wavelet grid feature has good stability and satisfactory distinction, and SVM classifiers have better generalization performance than that of neural networks.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87276721","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5072617
Yong-Min Liu, Xin-hua Jiang
Transmission control protocol (TCP) is a reliable, end-to-end transport protocol, which is widely used for data services and is very efficient for wired networks. However, experiments and research showed that TCP's congestion control algorithm performs very poorly over wireless sensor networks with degraded throughputs. This paper studies TCP's throughput issues in wireless sensor networks, and designs an improved congestion control algorithm based on the characteristics of the wireless sensor networks. The protocol is designed as extension to DCCP (datagram congestion control protocol) with a new congestion control component. We also implemented this congestion control algorithm in NS2.Simulation results show improvements on throughput achieved by using Extended congestion control algorithm.
{"title":"A Extended DCCP Congestion Control in Wireless Sensor Networks","authors":"Yong-Min Liu, Xin-hua Jiang","doi":"10.1109/IWISA.2009.5072617","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072617","url":null,"abstract":"Transmission control protocol (TCP) is a reliable, end-to-end transport protocol, which is widely used for data services and is very efficient for wired networks. However, experiments and research showed that TCP's congestion control algorithm performs very poorly over wireless sensor networks with degraded throughputs. This paper studies TCP's throughput issues in wireless sensor networks, and designs an improved congestion control algorithm based on the characteristics of the wireless sensor networks. The protocol is designed as extension to DCCP (datagram congestion control protocol) with a new congestion control component. We also implemented this congestion control algorithm in NS2.Simulation results show improvements on throughput achieved by using Extended congestion control algorithm.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80615144","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5073030
Renbo Wang, Xiong Wei
This paper describes the design and implement of a simple reduced TCP/IP protocol stack in VHDL that can be used in a soft-core embedded system (SOPC system) to establish high speed link between remote terminals and host. This is a significative experimental project whose target is high performance for image transmission with lower possession of CPU resource of embedded system.
{"title":"Reduced TCP/IP Protocol Implement in VHDL","authors":"Renbo Wang, Xiong Wei","doi":"10.1109/IWISA.2009.5073030","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073030","url":null,"abstract":"This paper describes the design and implement of a simple reduced TCP/IP protocol stack in VHDL that can be used in a soft-core embedded system (SOPC system) to establish high speed link between remote terminals and host. This is a significative experimental project whose target is high performance for image transmission with lower possession of CPU resource of embedded system.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86649564","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5072905
Cheng Li, Tianhuai Ding, Ken Chen, Qi Chen
A GPRS/GSM hybrid communication method is designed to develop a low-power RTU (remote terminal unit) for sensor signal acquisition and data transmission of distributed monitoring systems in industrial fields. The hardware architecture, key technology and transmission protocol of RTU are illustrated. Considering to GPRS network congestions, the reliability design of RTU is analyzed. When GPRS connection fails, the RTU switches to the SMS mode to resume the data transmission such that data integrity is ensured. Besides, the RTU is provided with multiple data sampling interfaces and low power mode. The data transmission experimental results show that the average GPRS transmission delay is 1.126~2.669 s, and the data loss rate decreases to 0 in hybrid communication from 6.94%, in single GPRS mode.
{"title":"Improved Design of Remote Wireless Transmission Terminal using GPRS/GSM Integrated Network","authors":"Cheng Li, Tianhuai Ding, Ken Chen, Qi Chen","doi":"10.1109/IWISA.2009.5072905","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072905","url":null,"abstract":"A GPRS/GSM hybrid communication method is designed to develop a low-power RTU (remote terminal unit) for sensor signal acquisition and data transmission of distributed monitoring systems in industrial fields. The hardware architecture, key technology and transmission protocol of RTU are illustrated. Considering to GPRS network congestions, the reliability design of RTU is analyzed. When GPRS connection fails, the RTU switches to the SMS mode to resume the data transmission such that data integrity is ensured. Besides, the RTU is provided with multiple data sampling interfaces and low power mode. The data transmission experimental results show that the average GPRS transmission delay is 1.126~2.669 s, and the data loss rate decreases to 0 in hybrid communication from 6.94%, in single GPRS mode.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86649845","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5072749
Shuqing Wang, Zipeng Zhang, Liqin Xue
Hydroelectric generating unit system of water plant is a non-linear and complicated system. Conventional controller cannot get good controlling performance in control. In this study, an advanced soft computing technique based on fuzzy, neural network and genetic algorithm is used in the control of hydroelectric generating unit system of hydropower plant. Fuzzy reasoning system is used as controller and genetic algorithm is employed to optimize the parameters and rules of fuzzy controller in the design of controller or real-time control process. Dynamic identification model of control system based on RBF neural networks is designed to appraise the controlling performance of fuzzy controller. In the design, improved genetic algorithm is adopted based on general genetic algorithm and the character of control system. The improved genetic algorithm quickens optimizing speed and makes fuzzy controller acquire knowledge effectively. Simulation results show that the designed soft computing optimization control system can well control hydroelectric generating unit and its control performance is superior to conventional controller.
{"title":"Application of Soft Computing in the Control of Hydroelectric Generating Unit","authors":"Shuqing Wang, Zipeng Zhang, Liqin Xue","doi":"10.1109/IWISA.2009.5072749","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072749","url":null,"abstract":"Hydroelectric generating unit system of water plant is a non-linear and complicated system. Conventional controller cannot get good controlling performance in control. In this study, an advanced soft computing technique based on fuzzy, neural network and genetic algorithm is used in the control of hydroelectric generating unit system of hydropower plant. Fuzzy reasoning system is used as controller and genetic algorithm is employed to optimize the parameters and rules of fuzzy controller in the design of controller or real-time control process. Dynamic identification model of control system based on RBF neural networks is designed to appraise the controlling performance of fuzzy controller. In the design, improved genetic algorithm is adopted based on general genetic algorithm and the character of control system. The improved genetic algorithm quickens optimizing speed and makes fuzzy controller acquire knowledge effectively. Simulation results show that the designed soft computing optimization control system can well control hydroelectric generating unit and its control performance is superior to conventional controller.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86988454","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}
Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5073180
Yan Niu, Dong Li, Lala Li
In this paper, we design a improved FTP search engine model which is introduced on the basis of customer feedback information and made server reliability, practical resources, customer neighboring degrees weighted standard in order to ensure that when the search results are too large, in front of the display is always excellent resources.
{"title":"The Design on FTP Search Engine Model Based on Customer Feedback","authors":"Yan Niu, Dong Li, Lala Li","doi":"10.1109/IWISA.2009.5073180","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073180","url":null,"abstract":"In this paper, we design a improved FTP search engine model which is introduced on the basis of customer feedback information and made server reliability, practical resources, customer neighboring degrees weighted standard in order to ensure that when the search results are too large, in front of the display is always excellent resources.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85344486","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}
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