2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)最新文献_第4页

Power Quality Improvement of Distribution Network Using Optimum Combination of Battery Energy Storage System and Capacitor Banks 电池储能系统与电容器组优化组合改善配电网电能质量

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00043

A. Lallu, F. Islam, K. Mamun, K. Prakash, M. Cirrincione

{"title":"Power Quality Improvement of Distribution Network Using Optimum Combination of Battery Energy Storage System and Capacitor Banks","authors":"A. Lallu, F. Islam, K. Mamun, K. Prakash, M. Cirrincione","doi":"10.1109/APWCONCSE.2017.00043","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00043","url":null,"abstract":"This paper proposes static and dynamic Volt Amp Reactive (VAR) planning based on the active and reactive power profile enhancing for dynamic voltage stability of distribution networks with Battery Energy Storage System (BESS) and capacitor bank using VAR planning scheme on distribution networks. Firstly, the impact of dynamic high impedance and resistive non-linear loads in the static voltage stability of the system has been studied and the effects of complex load behaviour on system dynamical performance is presented through a system stability analysis for three network structures. A VAR planning method is proposed where active and reactive loadability (P-Q) is considered to analyse the vulnerability of the network to voltage collapse and system inefficiency. Compensating devices are placed considering P-Q loadability to improve system voltage profile and stability limit. Finally, a cost-effective combination of BESS and capacitor bank is determined through static and dynamic analysis to ensure voltage stability of the network. The results show that the proposed approach can reduce the required sizes of compensating devices which reduces costs, enhances the voltage regulation of the system and minimizes power losses.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133877245","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

Combinational Problem Decomposition Method for Cooperative Coevolution of Recurrent Networks for Time Series Prediction 时间序列预测递归网络协同进化的组合问题分解方法

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00021

Ravneil Nand, M. Naseem, E. Reddy, B. Sharma

引用次数: 0

Acceptance of a Clinical Decision Support System for improving Healthcare Services in Saudi Arabia 接受临床决策支持系统以改善沙特阿拉伯的医疗保健服务

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00032

Soliman Aljarboa

引用次数: 2

Supporting Decision Making with Big Data: Integrating Legacy Systems and Data 用大数据支持决策:整合遗留系统和数据

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00029

Sanjay Jha, Meena Jha, L. O'Brien, Marilyn A. Wells

{"title":"Supporting Decision Making with Big Data: Integrating Legacy Systems and Data","authors":"Sanjay Jha, Meena Jha, L. O'Brien, Marilyn A. Wells","doi":"10.1109/APWCONCSE.2017.00029","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00029","url":null,"abstract":"In today’s world having the right data to support decision making is critical for organisations. The data required for decision making will not be stored in one or even a few locations; it will not be just one or even a few types and formats; and it will not be amenable to analysis by just one or a few analytics. As the demands of Big Data exceed the constraints of traditional relational databases, evaluating legacy data and assessing new technology has become a necessity for most organisations, not only to gain competitive advantage, but also for compliance purposes. A major challenge is managing the organisation's legacy systems and data to support decision making. How to handle legacy systems and data is too often an afterthought and can have a significant impact on the organisation’s ability to make decisions. At present organisations are mainly analysing internal data - sales, inventory, and shipments using ERP data. Organisations require analysing external data to gain new insights into customers, demands, needs, markets, supply chain and its operations. Big Data represents a fundamental shift in business decision making. There are many factors to consider when dealing with legacy systems and data as part of Big Data. In this paper we discuss the state of the art and issues and problems of how legacy systems and data are integrated with Big Data to support decision making. Our paper gives an overview of some of the business analytics that support business decision making, as well as some of the data management practices needed for success.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128887950","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

A Method for Selecting Jamming Nodes Considering SINR to Prevent Eavesdropping in Wireless Networks 一种考虑信噪比的无线网络抗干扰节点选择方法

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00018

T. Matsushita, Y. Taniguchi

引用次数: 3

Integrating an Alert Technology into PIC Social Context: An Earthquake-Induced Tsunami Alert for Pacific Island Communities 将警报技术融入PIC社会背景:太平洋岛屿社区地震引发的海啸警报

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00033

Botibita Itibita, Shan Chen

引用次数: 0

Do Sales Promotions Affect Dynamic Changes in Sales Outcomes: Estimation of Dynamic State of Product Sales 促销是否影响销售结果的动态变化:产品销售动态的估计

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00012

Yuta Kaneko, K. Yada

引用次数: 1

A Cloud-Based Collective Platform: Combined Requirement Perspectives of Learners, Educators, and Employers 基于云的集体平台:学习者、教育者和雇主的综合需求视角

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00034

Harpreet Singh, S. Miah

引用次数: 0

Intent Classification Using Feature Sets for Domestic Violence Discourse on Social Media 基于特征集的社交媒体家庭暴力话语意图分类

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00030

Sudha Subramani, H. Vu, Hua Wang

{"title":"Intent Classification Using Feature Sets for Domestic Violence Discourse on Social Media","authors":"Sudha Subramani, H. Vu, Hua Wang","doi":"10.1109/APWCONCSE.2017.00030","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00030","url":null,"abstract":"Domestic Violence against women is now recognized to be a serious and widespread problem worldwide. Domestic Violence and Abuse is at the root of so many issues in society and considered as the societal tabooed topic. Fortunately, with the popularity of social media, social welfare communities and victim support groups facilitate the victims to share their abusive stories and allow others to give advice and help victims. Hence, in order to offer the immediate resources for those needs, the specific messages from the victims need to be alarmed from other messages. In this paper, we regard intention mining as a binary classification problem (abuse or advice) with the usecase of abuse discourse. To address this problem, we extract rich feature sets from the raw corpus, using psycholinguistic clues and textual features by term-class interaction method. Machine learning algorithms are used to predict the accuracy of the classifiers between two different feature sets. Our experimental results with high classification accuracy give a promising solution to understand a big social problem through big social media and its use in serving information needs of various community welfare organizations.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114858861","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: 16

Mathematical Modelling of Dried Mango (Khatai) 芒果干(哈泰)的数学建模

2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE) Pub Date : 2017-12-01 DOI: 10.1109/APWCONCSE.2017.00010

Rajnesh K. Mudaliar, Sofia B. Shah

{"title":"Mathematical Modelling of Dried Mango (Khatai)","authors":"Rajnesh K. Mudaliar, Sofia B. Shah","doi":"10.1109/APWCONCSE.2017.00010","DOIUrl":"https://doi.org/10.1109/APWCONCSE.2017.00010","url":null,"abstract":"An experimental study was conducted to determine the drying characteristics of mango khatai (mango slices with stones) in a solar biomass-hybrid dryer. The khatai samples were allowed to dry both in the solar plenum and cabinet dryer of the solar-biomass hybrid dryer until consistent mass readings were obtained. The moisture content ratio was determined from the mass of the dried khatai and the temperature readings of the air in the solar-biomass hybrid dryer on hourly basis. The moisture content ratios with the drying times for the plenum-biomass and plenum data were mathematically modeled with seven different models. A regression analysis was carried out to determine the coefficient of determination (r) for selecting the best model that describes the drying of mango khatai in the solar biomass hybrid dryer. The best model describing the drying characteristics of the mango khatai is the one where the coefficient of determination (r) is closer to 1. Newton’s model was best suited for describing the drying in the plenum whilst Henderson-Pabis model was well adopted for plenum-biomass drying. Plenum-biomass drying is a more suitable drying option for mango khatai as shorter drying time is needed.","PeriodicalId":215519,"journal":{"name":"2017 4th Asia-Pacific World Congress on Computer Science and Engineering (APWC on CSE)","volume":"94 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115833583","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