{"title":"On-Line Measure System of the Temperature in the Synthetic Ammonia Tower Based on the LM75A Temperature Sensor","authors":"Z. Jianping","doi":"10.1109/ICCEE.2008.47","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.47","url":null,"abstract":"The multi-layer temperature was measured in the synthetic ammonia tower by the LM75A temperature sensor, which can exactly adjust temperature in the synthetic ammonia tower, and improve the synthetical rate of ammonia, except for which, reduce cost. The hardware and software system of on-line measuring temperature in the synthetic ammonia tower was designed and debugged. The result was that this system can very good realize the multi-layer temperature measuring in the synthetic ammonia tower, and exactly adjust the temperature of the synthetic ammonia tower in time, at the same time the temperature can exactly display on LCD screen.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123833226","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":"Auto-Indexing Selection Technique in Databases under Space Usage Constraint Using FP-Growth and Dynamic Programming","authors":"K. Nimkanjana, S. Vanichayobon, W. Wettayaprasit","doi":"10.1109/ICCEE.2008.132","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.132","url":null,"abstract":"This paper presents an auto-indexing selection technique to improve query processing time under indices' space usage limitation. The technique is composed of two steps: candidate extraction and index selection. In the candidate extraction step, data mining technique called FP-growth is used to find relationships among attributes. Then candidate indices are extracted. By giving space usage constraint on the index selection step, the dynamic programming approach combined with memory functions technique is used to find the most valuable subset of the indices among the candidates.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116606838","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":"An Automatic Filtering Approach for News Video Feeds on TCP/IP-Based Mobile Devices","authors":"C. Sangkhum, L. Preechaveerakul, W. Wettayaprasit","doi":"10.1109/ICCEE.2008.116","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.116","url":null,"abstract":"Really simple syndication (RSS) technology makes it for users possible to keep track of updated news. Podcasting is the technology based on RSS aims to aggregate multimedia files. For desktop users, viewing redundant RSS news video might not be a problem because of the high efficiency of the machine. But for mobile users, viewing redundant news video in a device with limited resource like PDAs or smart phones is wasting time, memory-space and battery-power. This paper proposes an automatic filtering for news video feeds for use on TCP/IP-based mobile devices. The system aggregates news video feeds from multiple sources and then filters an appropriate video to be shown on user's mobile device. To reduce the processing on mobile devices, users are able to access news video through a Web-based reader.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114972605","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":"Research of WEB2.0-Based XBRL Network Model","authors":"Li Wenyi, Xu Tao","doi":"10.1109/ICCEE.2008.127","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.127","url":null,"abstract":"The XBRL report is being accepted as the main stream for financial reporting due to its irreplaceable advantages such as promptness, convenience and low cost. However, before the advent of Web2.0, the XBRL network model only allowed users to \"read\" and consult data with great difficulty in the generation of comprehensive and real-time reporting, i.e. personalized service was not supported. The central concept of Web2.0 is user-oriented with blog, SNS, RSS, Wiki, etc. as its core. The Web2.0-based XBRL network model, supported by XBRL database server, XML Web server and data center with the Web browser and RSS reader as the front end and various views as the expression, can well live up to the above requirements by empowering the user as both a reader and the participant and producer of information that fully realizes the individuality of XBRL reporting.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115467733","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":"Static Parallel Job Scheduling in Computational Grids","authors":"H. Vahdat-Nejad, R. Monsefi","doi":"10.1109/ICCEE.2008.175","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.175","url":null,"abstract":"Scheduling is a fundamental issue in achieving high performance in multiclusters and computational grids. To efficiently schedule submitted jobs, WAN behavior should be considered as an important parameter, which highly influences the communication time of a job. However, due to the global state uncertainty, there is no suitable mathematical model to characterize network behavior, such that accurate job scheduling decision can be predicted. Fuzzy logic is one of the most dominant patterns in solving problems that are difficult to model mathematically. In this paper, the design of a fuzzy scheduler is described. The scheduler exploits the capabilities of fuzzy logic to qualitatively deal with different parameters available in the scheduling decision. Experimental results show the feasibility and effectiveness of the algorithm being investigated.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123146071","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":"Finding Time Quantum of Round Robin CPU Scheduling Algorithm Using Fuzzy Logic","authors":"Bashir Alam, M. Doja, R. Biswas","doi":"10.1109/ICCEE.2008.89","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.89","url":null,"abstract":"In Round Robin Scheduling the time quantum is fixed and then processes are scheduled such that no process get CPU time more than one time quantum in one go. If time quantum is too large, the response time of the processes is too much which may not be tolerated in interactive environment. If time quantum is too small, it causes unnecessarily frequent context switch leading to more overheads resulting in less throughput. In this paper a method using fuzzy logic has been proposed that decides a value that is neither too large nor too small such that every process has got reasonable response time and the throughput of the system is not decreased due to unnecessarily context switches.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123594597","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":"Combination of Time Series, Decision Tree and Clustering: A Case Study in Aerology Event Prediction","authors":"S.B. Lajevardi, B. Minaei-Bidgoli","doi":"10.1109/ICCEE.2008.110","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.110","url":null,"abstract":"Predictive systems use historical and other available data to predict an event. In this paper we propose a general framework to predict the Aerology events with time series streams and events stream using combination of K-means clustering algorithm and Decision Tree C5 algorithm. Firstly, we find the closest time series record for any events; therefore, we have gathered different parameters value when an event is occurring. Using K-means we add a field to data set which determines the cluster of each record after that by using C5 algorithm we predict events. C5 Decision Tree Algorithm is one of the well-known Decision Tree Algorithms. This framework and time series model can predict future events efficiently. We gathered 1961 until 2005 data of aerology organization for Tehran Mehrabad Station. This data contains some fields such as wet bulb, relative humidity, amount of cloud, wind speed and etc. This data set includes 17 types of events. Time series models can predict next time series parameters value and by using this Framework the closest event can be predicted. The C5 method is able to predict Events with Correct 74.11 percent and Wrong 25.89 percent. But with the aims of K-means clustering algorithm the prediction increase to 85 percent and wrong to 15 percent. 90 percent of data was used for training set and 10 percent for test set. We use 10-fold cross validation to evaluate our prediction rate. This framework is the first estimation in the area of event prediction for a huge data set of aerology and can be extended in many different data sets in any other environments.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129749867","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":"Research on the Interaction Process in Use Case for Automatic Generation of User Interface Prototype","authors":"Xinglai Ren, Changjiang Wei","doi":"10.1109/ICCEE.2008.21","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.21","url":null,"abstract":"Use case is an effective means to model the user-system interaction, which covers not only how the user will interact with the system but how the system will respond to the user, including how the behavior of the elements of the user interface are interdependent. In this paper, we deeply research on analysis of interaction process between actors and the system in use cases. An interaction process model is built applying MVC pattern and a user interface hierarchical model is discussed, which supports automatic generation of user interface based on use cases. These research results can be treated as a technical basis of automatic generation of user interface prototype from use cases.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128854591","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}
F. Farivar, M. A. Shoorehdeli, M. Nekoui, M. Teshnehlab
{"title":"Sliding Mode Control of Flexible Joint Using Gaussian Radial Basis Function Neural Networks","authors":"F. Farivar, M. A. Shoorehdeli, M. Nekoui, M. Teshnehlab","doi":"10.1109/ICCEE.2008.131","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.131","url":null,"abstract":"This paper, describes a hybrid control method to control a flexible joint. Dynamic equation of the system has been derived. The designed controllers consist of two parts: classical controller, which is a Linear Quadratic Regulation (LQR), and a hybrid controller,utilizing sliding mode control using Gaussian Radial Basis Function Neural Networks (RBFNN). The RBFNN is trained during the control process and it is not necessary to be trained off-line.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130070221","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":"MChord: Chord Algorithm Based on Limited Multicasting","authors":"Shihui Duan, Jinlin Wang","doi":"10.1109/ICCEE.2008.18","DOIUrl":"https://doi.org/10.1109/ICCEE.2008.18","url":null,"abstract":"Chord is known to be limited in routing efficiency since all nodes are on the overlay without considering the underlying network topology. In this paper, a Chord routing algorithm based on limited network layer multicast, called MChord, is proposed, which uses multicast technology to obtain physical neighbor information for routing. Simulation shows that it can shorten network search delay greatly, reduce routing hops effectively and improve the routing performance.","PeriodicalId":365473,"journal":{"name":"2008 International Conference on Computer and Electrical Engineering","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125543695","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}