2016 3rd International Conference on Computer and Information Sciences (ICCOINS)最新文献_第8页

An enhanced ELMAN-NARX hybrid model for FTSE Bursa Malaysia KLCI index forecasting 一个增强的ELMAN-NARX混合模型，用于富时马来西亚交易所KLCI指数预测

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783232

S. J. Abdulkadir, S. Yong, H. Alhussian

引用次数: 4

Investigating Enterprise Architecture implementation in public sector organisation: A case study of Ministry of Health Malaysia 调查企业架构在公共部门组织中的实施:马来西亚卫生部的案例研究

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783179

N. A. A. Bakar, H. Selamat

{"title":"Investigating Enterprise Architecture implementation in public sector organisation: A case study of Ministry of Health Malaysia","authors":"N. A. A. Bakar, H. Selamat","doi":"10.1109/ICCOINS.2016.7783179","DOIUrl":"https://doi.org/10.1109/ICCOINS.2016.7783179","url":null,"abstract":"Enterprise Architecture (EA) is gaining its importance and has become significant agenda in any Information Technology (IT) transformation in most organisation. Despite of many EA frameworks and methodologies available, the implementation of EA is a challenging process. Therefore, this paper aims to explore the process of EA implementation in an organisation and to identify its critical success factors (CSFs). An integrated framework comprising of Configurable Process Model (CPM) and Balanced Scorecard (BSC) are used in this study. The findings are categorised into six perspectives which are authority support, internal process, learning and growth, cost, technology and talent management. Based on Ministry of Health Malaysia (MOHM) as a case study, it reveals that every organisation should define and design their own EA solution based on their core business and need. The existence of framework and documentation does not represent the successful EA if it is not being practiced in the organisation. The EA implementation experience and the CSFs discussed in this paper will be valuable guidelines for other EA implementer in other public sector organisation.","PeriodicalId":224429,"journal":{"name":"2016 3rd International Conference on Computer and Information Sciences (ICCOINS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125474551","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: 21

Analysis of Big Data and Quality-of-Experience in High-Density Wireless Network 高密度无线网络中的大数据与体验质量分析

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783229

S. Qaiyum, I. Aziz, Jafreezal Bin Jaafar

引用次数: 9

The drivers of broadband Internet in Malaysia 马来西亚宽带互联网的驱动因素

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783212

S. N. Lurudusamy, R. Thurasamy

{"title":"The drivers of broadband Internet in Malaysia","authors":"S. N. Lurudusamy, R. Thurasamy","doi":"10.1109/ICCOINS.2016.7783212","DOIUrl":"https://doi.org/10.1109/ICCOINS.2016.7783212","url":null,"abstract":"The Internet is the interlinking of the worldwide computer networks that enables faster communication by utilising various means of access technologies. It is playing a major role in many areas of our lives, such as communication, entertainment and information which is supported by newer innovations and technology evolvement. While the broadband Internet penetration rate is encouraging in many countries, its adoption is still a notable issue in Malaysia. Therefore this research is focused on identification of two relevant research streams covering broadband, which are adoption and continuance after initial adoption in Malaysia. The investigation targets of this research are Malaysian individuals who are existing broadband Internet subscribers, ranging from different demographic background. The theoretical framework which is utilized in this study is an integrated model of Unified Theory of Acceptance and Use of Technology (UTAUT) and IS-Continuance Model which has been further extended by integrating another 2 Independent Variables, namely Perceived Innovativeness and Perceived Playfulness. Survey will be used as the research instrument and the unit of analysis are existing broadband Internet subscribers in Malaysia. As this is a quantitative study using positive epistemology, data obtained from the survey was analyzed using Partial Least Square (PLS-SEM). This paper is concluded by some recommendations that will increase the broadband Internet adoption intention and usage continuance of this technology in Malaysian household context.","PeriodicalId":224429,"journal":{"name":"2016 3rd International Conference on Computer and Information Sciences (ICCOINS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132036094","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

Dynamic Surrogate Reservoir Model with well constraints 考虑井约束的动态替代油藏模型

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783290

P. Memon, S. Yong, W. Pao

{"title":"Dynamic Surrogate Reservoir Model with well constraints","authors":"P. Memon, S. Yong, W. Pao","doi":"10.1109/ICCOINS.2016.7783290","DOIUrl":"https://doi.org/10.1109/ICCOINS.2016.7783290","url":null,"abstract":"Reservoir flow calculation is a significant aspect in oil and gas industries to calculate the results of a reservoir. Due to the large number of grid blocks and heterogeneity in reservoir models, extensive simulations are required to reduce the risk in reservoir's productivity. In order to mitigate this problem, Surrogate Reservoir Model (SRM) is used as a prime outcome to reduce the simulation time. However, this paper work presents the dynamic well SRM, that extracts the data from a conventional reservoir simulator, Black Oil Applied Simulation Tool (BOAST). The well SRM with two dynamic constraints(bottom-hole flowing pressure and production rate) is built with random switch on/off of well with discrete time steps. The prime input parameters, porosity, permeability and saturation are identified from the reservoir model using principal component analysis (PCA) technique. The Artificial Neural Network (RBNN) technique is adopted to build the well SRM with dynamic constraints. The trained model from the dynamic well SRM is validated with the output from BOAST. The dynamic SRM is flexible in handling different types of modeling with changeable constraints. It was found that the simulated results of the proposed dynamic well SRM is effective in producing the outputs as predicted by the conventional simulator.","PeriodicalId":224429,"journal":{"name":"2016 3rd International Conference on Computer and Information Sciences (ICCOINS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121754430","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

Chaos-based secure data compression (CSDC) 基于混沌的安全数据压缩(CSDC)

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783293

M. Usama, Nordin Zakaria

引用次数: 3

A corrosion prediction model for oil and gas pipeline using CMARPGA 基于CMARPGA的油气管道腐蚀预测模型

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783249

Han Chern-Tong, I. Aziz

{"title":"A corrosion prediction model for oil and gas pipeline using CMARPGA","authors":"Han Chern-Tong, I. Aziz","doi":"10.1109/ICCOINS.2016.7783249","DOIUrl":"https://doi.org/10.1109/ICCOINS.2016.7783249","url":null,"abstract":"Pipelines are used as a medium to transport the oil, however, low maintenance causing not only the loss of the material itself but as well to the surrounding people and environment. In order to tackle the incidents, experts are assigned and experiments are conducted to analyze the source of the leakage. The leakage is often triggered by either natural disaster such as earthquake or human negligence such as low maintenance of oil pipeline. Natural disaster is unpredictable and it is difficult to prevent; therefore, researches are carried out in detecting corrosion of transmission pipelines. In this research, a new oil pipeline corrosion prediction model is proposed. An associative classification technique named classification based on multiple association rules is applied in the proposed prediction model. This proposed prediction model named CMARGA is then enhanced by using genetic algorithm in order build an optimum decision tree. The decision tree is said optimum in term of the genetic algorithm is used to examine the correlation between a group of association rules instead of using one single rule in predicting a case. The prediction model, CMARGA is tested against 15 datasets from UCI machine learning which yielded average accuracy of 80.2041%. After the validation, CMARGA is then tested against a simulated oil pipeline corrosion dataset consist of partial pressure carbon dioxide, velocity, and temperature. A good result of 96.6667% accuracy as single run validation is achieved; while, 96.0% accuracy obtained when runs through tenth cross validation.","PeriodicalId":224429,"journal":{"name":"2016 3rd International Conference on Computer and Information Sciences (ICCOINS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116612280","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: 5

The impact of electronic collaboration on learning outcomes 电子协作对学习成果的影响

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783207

Alimatu-Saadia Yussif, W. Ahmad, E. E. Mustapha

{"title":"The impact of electronic collaboration on learning outcomes","authors":"Alimatu-Saadia Yussif, W. Ahmad, E. E. Mustapha","doi":"10.1109/ICCOINS.2016.7783207","DOIUrl":"https://doi.org/10.1109/ICCOINS.2016.7783207","url":null,"abstract":"Even though the effectiveness of e-collaboration has been empirically confirmed, some researchers and educators still find it a challenge in leading to meaningful learning outcomes. The main goal of this study is to explore the relationship between e-collaborative learning experience and students learning outcomes with moderating and mediating effects of social, teaching and cognitive presences. The study intends to investigate whether e-collaborative learning experience with social, teaching and cognitive presences as the mediator and moderator constructs are predictors of students learning outcomes. The Community of Inquiry (CoI) survey instrument, collaborative learning questionnaire and pre-test-post-test questions were used to collect data through an experimental research design involving 60 students. The results show that the constructs of the hypothesized model are reliable and valid. The results from structural equation modeling also demonstrated that e-collaborative learning experience strongly predict learning outcomes indirectly through the mediating and moderating effects of the three presences.","PeriodicalId":224429,"journal":{"name":"2016 3rd International Conference on Computer and Information Sciences (ICCOINS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117013689","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: 1

Improving security in Wireless Sensor Network using trust and metaheuristic algorithms 利用信任和元启发式算法提高无线传感器网络的安全性

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783220

S. Anbuchelian, S. Lokesh, Madhusudhanan Baskaran

{"title":"Improving security in Wireless Sensor Network using trust and metaheuristic algorithms","authors":"S. Anbuchelian, S. Lokesh, Madhusudhanan Baskaran","doi":"10.1109/ICCOINS.2016.7783220","DOIUrl":"https://doi.org/10.1109/ICCOINS.2016.7783220","url":null,"abstract":"Wireless Sensor Network (WSN) through sensor nodes co-operation collect and send messages about a monitored environment to a sink. Structural health monitoring is an active area of research where structural integrity of civil structures is continuously monitored using wireless sensors. WSN's wide spread applications in various areas has opened the doors to vulnerabilities/security pitfalls. Security is of paramount concern for sensor network applications but implementation of cryptography / encryption techniques will increase the control overheads and also uses additional energy which is scarce. An emerging area of research to improve security is the implementation of trust mechanism which to a certain extent mitigates the pitfalls of regular security mechanism. Trust is important in wireless networks as collaboration/cooperation among nodes is critical to achieving system goals like routing reliability which is NP Hard. In this work a trust based Cluster Head selection mechanism using Firefly based metaheuristic is proposed to improve the security and network lifetime of the WSN. Firefly Algorithm (FA) is used as it handles combinational and numerical optimization multimodal problems efficiently. The proposed algorithm was evaluated using Mica testbed using 23 nodes and was also extensively simulated using MATLAB for large number of nodes to check the effectiveness of the proposed technique. Simulation results demonstrate the effectiveness of the proposed method for large number of nodes and the physical experimental setup shows performance improvement over LEACH.","PeriodicalId":224429,"journal":{"name":"2016 3rd International Conference on Computer and Information Sciences (ICCOINS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130822704","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: 14

Predicting Generalized Anxiety Disorder among women using random forest approach 用随机森林方法预测女性广泛性焦虑障碍

2016 3rd International Conference on Computer and Information Sciences (ICCOINS) Pub Date : 2016-08-01 DOI: 10.1109/ICCOINS.2016.7783185

W. Husain, Lee Ker Xin, N. Rashid, N. Jothi

{"title":"Predicting Generalized Anxiety Disorder among women using random forest approach","authors":"W. Husain, Lee Ker Xin, N. Rashid, N. Jothi","doi":"10.1109/ICCOINS.2016.7783185","DOIUrl":"https://doi.org/10.1109/ICCOINS.2016.7783185","url":null,"abstract":"Mental health presents one of the greatest challenges to the current generation. Generalized Anxiety Disorder (GAD) is one of the many mental health problems. People with this disorder experience exaggerated worries and tensions about everyday events. It has been reported that about 5% of the population in developed countries is affected by GAD, with women twice as likely to be affected compared to men. Anxiety disorders are a growing occurrence in Malaysia, and this phenomenon has contributed to extensive mental health related data. This raw data is a valuable resource, but it is underutilized. It could potentially be transformed into useful knowledge via data mining technology. Data mining reveals significant insights due to its nature in identifying hidden patterns and relationships that can be used for predicting generalized anxiety disorder. For effective prediction, random forest approach is one of the classification data mining techniques which embeds good predictive characteristics. Therefore, this research adopts random forest approach to predict Generalized Anxiety Disorder among women, and the accuracy of the predictive result is reported. The generated prediction model is expected to provide an effective screening process for Generalized Anxiety Disorder among women in Malaysia.","PeriodicalId":224429,"journal":{"name":"2016 3rd International Conference on Computer and Information Sciences (ICCOINS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129205898","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: 22