2009 First Asian Conference on Intelligent Information and Database Systems最新文献_第2页

A Data Management System for Distributed Real-Time Emissions and Air Pollutants Monitoring System 分布式实时排放和空气污染物监测系统的数据管理系统

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.84

Junghee Kim, Youlin Jin, S. Lim, Karpjoo Jeong, J. Woo, Eun Yi Kim

引用次数: 1

Implicit Camera Calibration Using MultiLayer Perceptron Type Neural Network 基于多层感知器型神经网络的隐式摄像机标定

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.11

Dong-Min Woo, Dong-Chul Park

引用次数: 6

Dynamic Packet Balancing Agent in MANETs Based on AOMDV 基于AOMDV的manet动态包均衡代理

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.50

Chen Ni, Hyeon-Cheol Zin, Bokman Lee, D. Hwang, Chonggun Kim

引用次数: 5

An Approach to Identity Theft Detection Using Social Network Analysis 基于社会网络分析的身份盗窃检测方法

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.44

G. Kolaczek

引用次数: 5

Leader Election for Multi-channel Radio Networks - Dependent versus Independent Trials 多信道无线网络的领导人选举——依赖与独立试验

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.29

Z. Golebiewski, Michal Koza, M. Klonowski, Mirosław Kutyłowski

{"title":"Leader Election for Multi-channel Radio Networks - Dependent versus Independent Trials","authors":"Z. Golebiewski, Michal Koza, M. Klonowski, Mirosław Kutyłowski","doi":"10.1109/ACIIDS.2009.29","DOIUrl":"https://doi.org/10.1109/ACIIDS.2009.29","url":null,"abstract":"We consider access scheduling to a shared radio channel in networks where a set of stations tries to get exclusive rights to transmit over a shared radio channel. A frequent strategy to solve this problem is that each station independently tosses an asymmetric coin and transmits in case of tails. The trials are executed some number of times and the first station that sends alone in a trial gets the right to broadcast over the shared channel. We consider here a multi-channel case: during onetime slot a station may transmit on k different channels.In this case trials can be arranged in two slightly different ways. The first method is that in each trial a station decides whether to participate in it; if it is so, then the station decides independently for each channel whether to transmit on it. According to the second method a station makes one decision whether to send and if the decision is positive it chooses a single channel for transmission. The second method guarantees a limited energy cost for each station but,as we show, turns out to be inferior regarding success probability. We consider these algorithms for a realistic number of stations. We analyze subtle differences between both algorithms regarding success probability.","PeriodicalId":275776,"journal":{"name":"2009 First Asian Conference on Intelligent Information and Database Systems","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128118705","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

Intelligent Distributed Intrusion Detection Systems of Computer Communication Systems 计算机通信系统的智能分布式入侵检测系统

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.87

A. Grzech

引用次数: 2

Short-Term Load Forecasting Using Support Vector Regression Based on Pattern-Base 基于模式基的支持向量回归短期负荷预测

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.52

Yingchun Guo, D. Niu

{"title":"Short-Term Load Forecasting Using Support Vector Regression Based on Pattern-Base","authors":"Yingchun Guo, D. Niu","doi":"10.1109/ACIIDS.2009.52","DOIUrl":"https://doi.org/10.1109/ACIIDS.2009.52","url":null,"abstract":"A new idea is proposed that preprocessing is the key to improving the precision of short-term load forecasting (STLF). This paper presents a new model of STLF which is using support vector regression (SVR) based on pattern-base. Our model can be described as follows: firstly, it recognizes the different patterns of daily load according such features as weather and date type by means of data mining technology of classification and regression tree (CART); secondly, it sets up pattern-bases which are composed of daily load data sequence with highly similar features; thirdly, it establishes SVR forecasting model based on the pattern-base which matches to the forecasting day. Since the patterns of daily load are treated beforehand, the rule of the historical data sequence is more obvious. The model has many advantages: first, since the training data has similar pattern to the forecasting day, the model reflects the rule of daily load accurately and improves forecasting precision accordingly; second, as the pattern variables need not to be input into model, the mapping of the categorical variables is solved; third, as inputs are reduced, the model is simplified and the runtime is lessened. The simulation indicates that the new method is feasible and the forecasting precision is greatly improved.","PeriodicalId":275776,"journal":{"name":"2009 First Asian Conference on Intelligent Information and Database Systems","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115709103","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

Fuzzy Classification of Incomplete Data with Adaptive Volume 不完全数据的自适应模糊分类

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.58

L. Yao, Kuei-Sung Weng, Ren-Wei Chang

引用次数: 1

Extensions to the Relational Paths Based Learning Approach RPBL 基于关系路径学习方法RPBL的扩展

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.40

Zhiqiang Gao, Zhizheng Zhang, Zhisheng Huang

引用次数: 6

An Information Extraction Approach to English-Vietnamese Weather Bulletins Machine Translation 英越天气预报机器翻译中的信息提取方法

2009 First Asian Conference on Intelligent Information and Database Systems Pub Date : 2009-04-01 DOI: 10.1109/ACIIDS.2009.90

S. Pham, G. Tran, Dang Duc Pham, Kien Chi Phung, Kien Trung Nguyen

引用次数: 2