Pub Date : 2012-10-04DOI: 10.1109/URKE.2012.6319557
Lisong Yin, Lisheng Yin, Yigang He
Using system dynamics methods, this article grasps firmly the information bond of trust, considers the interaction among information, trust, logistics, capital flow, profits flow, study the quantify and dynamic evolution of trust among supply chain and carries out a simulation. The results show that: if the amount of information is great, the trust track point will appears in advance and trust will always be high. If information quality is good, the trust track point occurs early, but with the cycle progresses, the trust will tend to be the same level.
{"title":"The quantify and dynamic evolution of trust among supply chain","authors":"Lisong Yin, Lisheng Yin, Yigang He","doi":"10.1109/URKE.2012.6319557","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319557","url":null,"abstract":"Using system dynamics methods, this article grasps firmly the information bond of trust, considers the interaction among information, trust, logistics, capital flow, profits flow, study the quantify and dynamic evolution of trust among supply chain and carries out a simulation. The results show that: if the amount of information is great, the trust track point will appears in advance and trust will always be high. If information quality is good, the trust track point occurs early, but with the cycle progresses, the trust will tend to be the same level.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124075844","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319595
S. Susanto, P. I. Tanaya, A. Soembagijo
This paper addresses the problems of product lead time (PLT) formulation in the textile industry and proposed a methodology to formulate product lead time of textile fabric production at a textile factory using artificial neural networks. Analysis of the order fulfillment process flow of the textile company was conducted to identify the individual sequential processes that constitute product lead time. Feed forward multilayer perceptron (MLP) neural networks are developed to estimate the lead time of critical PLT processes with incomplete data and various non-linear time affecting factors. The networks are trained in a supervised manner using back propagation algorithm. The finalized neural network lead time estimation models are able to predict the lead time for each process with a good degree of accuracy and can be used as a decision making tool for quoting product lead time to customer.
{"title":"Formulating standard product lead time at a textile factory using artificial neural networks","authors":"S. Susanto, P. I. Tanaya, A. Soembagijo","doi":"10.1109/URKE.2012.6319595","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319595","url":null,"abstract":"This paper addresses the problems of product lead time (PLT) formulation in the textile industry and proposed a methodology to formulate product lead time of textile fabric production at a textile factory using artificial neural networks. Analysis of the order fulfillment process flow of the textile company was conducted to identify the individual sequential processes that constitute product lead time. Feed forward multilayer perceptron (MLP) neural networks are developed to estimate the lead time of critical PLT processes with incomplete data and various non-linear time affecting factors. The networks are trained in a supervised manner using back propagation algorithm. The finalized neural network lead time estimation models are able to predict the lead time for each process with a good degree of accuracy and can be used as a decision making tool for quoting product lead time to customer.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121162658","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319590
P. Yugopuspito, A. Reynaldi, D. Krisnadi, S. Setyven
In this paper, Amdahl's Law for multicore processors is revisited and applied to the case of parallel genetic algorithm. This paper uses parallel master-slave model for function evaluation and independent identical processing model for genetic algorithm. Moreover, the super-linear speedup for parallel genetic algorithm has been found in one of our algorithm.
{"title":"Achieving super-linearity speedup by implementing randomized problem of genetics algorithm","authors":"P. Yugopuspito, A. Reynaldi, D. Krisnadi, S. Setyven","doi":"10.1109/URKE.2012.6319590","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319590","url":null,"abstract":"In this paper, Amdahl's Law for multicore processors is revisited and applied to the case of parallel genetic algorithm. This paper uses parallel master-slave model for function evaluation and independent identical processing model for genetic algorithm. Moreover, the super-linear speedup for parallel genetic algorithm has been found in one of our algorithm.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115856792","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319534
R. Syahputri, Sriyanto
Authentication has become a major problem in wireless network communication; since this technology enables its client to communicate each other through radio wave. This kind of communication makes user intercept the traffic easily. When wireless implements high level security standard such as IEEE 802.11i to tighten its authentication mechanism, it deals with long delay in handover. To support fast handover, pre-authentication mechanism has been proposed. This paper compares pre-authentication method in terms of architecture, and its performance in handling the delay in handover.
{"title":"Fast and secure authentication in IEEE 802.11i wireless LAN","authors":"R. Syahputri, Sriyanto","doi":"10.1109/URKE.2012.6319534","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319534","url":null,"abstract":"Authentication has become a major problem in wireless network communication; since this technology enables its client to communicate each other through radio wave. This kind of communication makes user intercept the traffic easily. When wireless implements high level security standard such as IEEE 802.11i to tighten its authentication mechanism, it deals with long delay in handover. To support fast handover, pre-authentication mechanism has been proposed. This paper compares pre-authentication method in terms of architecture, and its performance in handling the delay in handover.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115994310","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319528
Le Anh Phuong, T. D. Khang
This paper studies the linguistic truth value domain based on finite monotonous hedge algebra in an attempt to propose a derivatives system based on hedge moving rules and ∧, ⋁, ⊗, ', → rules based on Lukasiewicz algebra.
{"title":"A deductive method in linguistic reasoning","authors":"Le Anh Phuong, T. D. Khang","doi":"10.1109/URKE.2012.6319528","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319528","url":null,"abstract":"This paper studies the linguistic truth value domain based on finite monotonous hedge algebra in an attempt to propose a derivatives system based on hedge moving rules and ∧, ⋁, ⊗, ', → rules based on Lukasiewicz algebra.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128154234","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319568
Qian Huimin
Aiming to the ECG signal including the noise such as the baseline drift, power frequency interference, and muscle power interference, etc, it is not easy to diagnose the patient's illness condition, so, the wavelet de-noising algorithm used in ECG signal is research in detail. This paper studied the wavelet multi-resolution decomposition and de-noising methods, as well as analyzes the way of the threshold selection. Through the wavelet de-noising application to the ECG signal de-noising processing, the ECG signal that the noise polluted can be effectively filter by using the multi-resolution wavelet decomposition in selecting the wavelet threshold based on the Birge-Massart algorithm, and the de-noising effect is obvious better than the adaptive threshold selection.
{"title":"Research and application of ECG signal pretreatment based on wavelet de-noising technology","authors":"Qian Huimin","doi":"10.1109/URKE.2012.6319568","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319568","url":null,"abstract":"Aiming to the ECG signal including the noise such as the baseline drift, power frequency interference, and muscle power interference, etc, it is not easy to diagnose the patient's illness condition, so, the wavelet de-noising algorithm used in ECG signal is research in detail. This paper studied the wavelet multi-resolution decomposition and de-noising methods, as well as analyzes the way of the threshold selection. Through the wavelet de-noising application to the ECG signal de-noising processing, the ECG signal that the noise polluted can be effectively filter by using the multi-resolution wavelet decomposition in selecting the wavelet threshold based on the Birge-Massart algorithm, and the de-noising effect is obvious better than the adaptive threshold selection.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123487827","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319591
F. Mekanik, M. Imteaz
El Nino southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) have enormous effects on the precipitations around the world. Australian rainfall is also affected by these key modes of complex climate variables. Many studies have tried to establish the relationships of these large-scale climate indices among the rainfalls of different parts of Australia, particularly Western Australia, New South Wales, Queensland and Victoria. Unlike the other regions, no clear relationship can be found between each individual large-scale climate mode and Victorian rainfall. Past studies considering southeast Australian rainfall predictability could achieve a maximum of 30% correlation. This study looks into the lagged-time relationships of these modes on Victorian spring rainfall. On the other hand, few attempts have been made to establish the combined effect of these indices on rainfall in order to develop a better understanding and forecasting system. Thus, the aim of this research was to investigate the combined lagged relationship of ENSO and IOD with Victorian spring rainfall using multiple regression as a linear method compared to Artificial Neural Networks (ANN) as a nonlinear method. This study found that predicting spring rainfall using combined lagged ENSO-DMI indices with ANN can achieve 96.96% correlation as compared to multiple regression with only 66.15% correlation. This method can be used for other parts of the world where a relationship exists between rainfall and large scale climate modes which could not be established by linear methods.
{"title":"Forecasting Victorian spring rainfall using ENSO and IOD: A comparison of linear multiple regression and nonlinear ANN","authors":"F. Mekanik, M. Imteaz","doi":"10.1109/URKE.2012.6319591","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319591","url":null,"abstract":"El Nino southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) have enormous effects on the precipitations around the world. Australian rainfall is also affected by these key modes of complex climate variables. Many studies have tried to establish the relationships of these large-scale climate indices among the rainfalls of different parts of Australia, particularly Western Australia, New South Wales, Queensland and Victoria. Unlike the other regions, no clear relationship can be found between each individual large-scale climate mode and Victorian rainfall. Past studies considering southeast Australian rainfall predictability could achieve a maximum of 30% correlation. This study looks into the lagged-time relationships of these modes on Victorian spring rainfall. On the other hand, few attempts have been made to establish the combined effect of these indices on rainfall in order to develop a better understanding and forecasting system. Thus, the aim of this research was to investigate the combined lagged relationship of ENSO and IOD with Victorian spring rainfall using multiple regression as a linear method compared to Artificial Neural Networks (ANN) as a nonlinear method. This study found that predicting spring rainfall using combined lagged ENSO-DMI indices with ANN can achieve 96.96% correlation as compared to multiple regression with only 66.15% correlation. This method can be used for other parts of the world where a relationship exists between rainfall and large scale climate modes which could not be established by linear methods.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128736795","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319581
Norul Fadhilah Ismail, K. Rasmani, N. Shahari, Nur Rasyida Mohd Rashid, Herma Mohd Hanif, N. Noh
Consensus method is a means of communication between experts who assist the formation of a group judgment. This technique has great potential to be adopted to provide prediction based on outcomes obtained from several classification algorithms. In this study, data on water consumption was used to induce the classification model that will be used to predict the possibility of the occurrence of water leakage at residential premises. The classification algorithms used in the analysis using consensus method were selected based on their generalization ability on simulation datasets. The prediction outcomes were obtained based on analysis on individual algorithm classification outcomes on validation dataset. The finding showed a very promising result where consensus method produces consistent prediction outcomes.
{"title":"Prediction of residential households' water leakage using consensus method","authors":"Norul Fadhilah Ismail, K. Rasmani, N. Shahari, Nur Rasyida Mohd Rashid, Herma Mohd Hanif, N. Noh","doi":"10.1109/URKE.2012.6319581","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319581","url":null,"abstract":"Consensus method is a means of communication between experts who assist the formation of a group judgment. This technique has great potential to be adopted to provide prediction based on outcomes obtained from several classification algorithms. In this study, data on water consumption was used to induce the classification model that will be used to predict the possibility of the occurrence of water leakage at residential premises. The classification algorithms used in the analysis using consensus method were selected based on their generalization ability on simulation datasets. The prediction outcomes were obtained based on analysis on individual algorithm classification outcomes on validation dataset. The finding showed a very promising result where consensus method produces consistent prediction outcomes.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128988745","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319522
Aodah Diamah, M. Mohammadian, B. Balachandran
In this paper the development of a fuzzy logic based software agent for bilateral e-negotiation is considered. The developed fuzzy logic based intelligent agent is applied to a laptop purchasing model which allows users that have limited knowledge on different range of laptops available, to define the different attributes of laptop in human language such as low, medium or high price, speed, screen size and other attributes. The intelligent agent then performs an automatic evaluation on how close an item matches user preferences using fuzzy logic based decision-making built into the intelligent agent. We develop tactic for the intelligent agent so that it can change its decision making for example how much the agent should increase counter offer in its negotiation, depending on laptop utility score, offer price of the laptop and remaining negotiation time. Simulation results show that the buyer agent concedes more (i.e. raises its offer price) if laptop attributes being negotiated meets its client preferences better and concedes less if otherwise.
{"title":"Fuzzy utility and inference system for bilateral negotiation","authors":"Aodah Diamah, M. Mohammadian, B. Balachandran","doi":"10.1109/URKE.2012.6319522","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319522","url":null,"abstract":"In this paper the development of a fuzzy logic based software agent for bilateral e-negotiation is considered. The developed fuzzy logic based intelligent agent is applied to a laptop purchasing model which allows users that have limited knowledge on different range of laptops available, to define the different attributes of laptop in human language such as low, medium or high price, speed, screen size and other attributes. The intelligent agent then performs an automatic evaluation on how close an item matches user preferences using fuzzy logic based decision-making built into the intelligent agent. We develop tactic for the intelligent agent so that it can change its decision making for example how much the agent should increase counter offer in its negotiation, depending on laptop utility score, offer price of the laptop and remaining negotiation time. Simulation results show that the buyer agent concedes more (i.e. raises its offer price) if laptop attributes being negotiated meets its client preferences better and concedes less if otherwise.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121273756","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 : 2012-10-04DOI: 10.1109/URKE.2012.6319540
A. G. K. Leng, K. P. Ravi, Ashutosh Kumar Singh
This paper focus on incorporating weight properties to enhance Web spam detection algorithms. Our proposed methodology adds this feature into Anti-TrustRank algorithm and call it weighted Anti-TrustRank algorithm to show the effectiveness of the weight properties using a new metric. Experiments are conducted on WEBSPAM-UK2006, a public Web spam dataset and have shown that weighted Anti-TrustRank significantly outperforms Anti-TrustRank algorithm up to 37.85%.
{"title":"Incorporating weight properties in detection of web spam","authors":"A. G. K. Leng, K. P. Ravi, Ashutosh Kumar Singh","doi":"10.1109/URKE.2012.6319540","DOIUrl":"https://doi.org/10.1109/URKE.2012.6319540","url":null,"abstract":"This paper focus on incorporating weight properties to enhance Web spam detection algorithms. Our proposed methodology adds this feature into Anti-TrustRank algorithm and call it weighted Anti-TrustRank algorithm to show the effectiveness of the weight properties using a new metric. Experiments are conducted on WEBSPAM-UK2006, a public Web spam dataset and have shown that weighted Anti-TrustRank significantly outperforms Anti-TrustRank algorithm up to 37.85%.","PeriodicalId":277189,"journal":{"name":"2012 2nd International Conference on Uncertainty Reasoning and Knowledge Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123758431","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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