2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)最新文献_第4页

Information Accountability of Healthcare Big Data 医疗大数据的信息问责

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377712

C. Wickramage, T. Sahama, Gihan N. Wickramanayake

引用次数: 0

Keynote speakers big data deployment in assessing the creditworthiness of low-income families and micro-enterprises in emerging economies: Platforms, methodologies and business models 大数据在新兴经济体低收入家庭和微型企业信用评估中的应用:平台、方法和商业模式

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377655

N. Kshetri

{"title":"Keynote speakers big data deployment in assessing the creditworthiness of low-income families and micro-enterprises in emerging economies: Platforms, methodologies and business models","authors":"N. Kshetri","doi":"10.1109/ICTER.2015.7377655","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377655","url":null,"abstract":"General consumer and business finance companies and microcredit organizations have had limited success in serving the needs of economically active low-income families and micro-enterprises cost-effectively and sustainably. Recent advances in computing and telecommunications technology are dramatically transforming this landscape by changing the way the financial industry operates. A key mechanism underlying this transformation concerns the use of big data (BD) in assessing, evaluating and refining the creditworthiness of potential borrowers. The objective of this paper is to examine this issue from the perspective of emerging economies. It investigates how various inherent characteristics of big data - volume, velocity, variety, variability and complexity - are related to the assessment of the creditworthiness of low-income families and micro-enterprises. The paper also examines the platforms, methodologies and processes used by lenders in assessing the creditworthiness and lending decisions. Case studies of developing world-based BD companies involved in this business such as China's Alibaba, Tencents and Xiaomi, Africa's Agrilife, Farmforce and Kilimo Salama, Brazil's Cignifi and Mexico's Kueski will be discussed. It looks at various categories of personal financial and non-financial information that are being used as proxy measures for a potential borrower's identity, ability to repay and willingness to repay. The sources of data (internal vs. external to the BD organization) and providers of credits (BD organization vs. external partners or clients of the BD organization) considerations suggest the four basic categories of business models represented by the 2×2 matrix. The paper evaluates the business models represented by each cell from the perspective of potential borrowers. Also addressed are privacy and cybersecurity issues associated with this phenomenon.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127709865","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: 0

An approach for transforming keyword-based queries to SPARQL on RDF data source federations 一种在RDF数据源联合上将基于关键字的查询转换为SPARQL的方法

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377684

Thilini Cooray, G. Wikramanayake

{"title":"An approach for transforming keyword-based queries to SPARQL on RDF data source federations","authors":"Thilini Cooray, G. Wikramanayake","doi":"10.1109/ICTER.2015.7377684","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377684","url":null,"abstract":"General public highly use keyword queries to fulfil their information needs on the Web. Semantic Web aims at transforming the Web to a format which is machine readable. RDF is the common format used in the Semantic Web to store data. Several existing approaches have proposed methods for keyword query processing on RDF data. SPARQL queries are capable of retrieving more relevant results than general keyword routing on RDF data. RDF federations are capable of connecting multiple heterogeneous data sources. Federations allow us to retrieve more complete results than querying a single source. Therefore we have introduced an approach which can transform keyword queries to SPARQL on a federation of heterogeneous sources. We utilized an ontology alignment approach for resolving vocabulary level heterogeneity. A keyword index was used to match keywords to data elements on the federation while a Path Index based approach utilized to identify suitable sub-graphs which can connect keyword elements. We were able to obtain promising results about the effectiveness of the generated queries from our proposed approach and performance of the approach.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121325210","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

ANDROPHSY - forensic framework for Android Android的取证框架

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377696

Indeewari U. Akarawita, Amila B. Perera, Ajantha S Atukorale

引用次数: 8

A study pertaining to the barriers in assessing the outsourcing risk factors in Sri Lankan software industry 斯里兰卡软件产业外包风险因素评估的障碍研究

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377672

H. de Silva, K. D. Gunawardane

引用次数: 1

Exploring the user experiences of collaborative online learning 探索协作式在线学习的用户体验

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377701

R. Somaratne

引用次数: 4

eLearning for the benefit of the learning mind 电子学习有利于学习思维

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377656

Tosh Yamamoto

{"title":"eLearning for the benefit of the learning mind","authors":"Tosh Yamamoto","doi":"10.1109/ICTER.2015.7377656","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377656","url":null,"abstract":"As has been pointed out by the Bloom's Taxonomy matrix, learning is initiated from the stage of memorizing and recalling, and then, to the stage of understanding, followed by the stages of applying, analyzing, evaluating, and creating. On the axis for the learning opportunity or what is learned, facts/events, concepts, procedures, and metacognitive reflections are arranged. In such matrices, the traditional eLearning for corporate training and education occupies only the grids for the stage of memorizing and recalling, and the stage of understanding, associated with the learning opportunities of facts/events, concepts, and procedures, where most routine work or study resides. On the other hand, the corporate training and education in a new paradigm takes the whole matrices as its realm of training and learning. In such a paradigm, active learning is the key, in which the learner finds the value through the learning process. It follows that the learning must be customized for individual learners needs, rather than the instructor's or teacher's arbitrary needs. In such a paradigm, the teacher or the instructor cannot impose the prefabricated knowledge or values on the learner. The learner himself or herself will find the value in the process of learning. In such learning, the instructor or teacher's role is to guide or point the learner to the direction of the learning goal/value designed in the curriculum map. It is the learner's mission to find the values through the process of learning. In other words, eLearning is meant for the benefit of the learning mind.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130328662","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: 0

Front-view car detection using vocabulary voting and mean-shift search 使用词汇投票和mean-shift搜索的前视汽车检测

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377660

S. Sotheeswaran, A. Ramanan

{"title":"Front-view car detection using vocabulary voting and mean-shift search","authors":"S. Sotheeswaran, A. Ramanan","doi":"10.1109/ICTER.2015.7377660","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377660","url":null,"abstract":"Vehicle detection has received much attention over the recent years. In this paper we mainly address on the detection of cars in front-view static images and focus on local features that describe structural characteristics in particular. Our method is based on constructing visual vocabularies for the car and non-car objects (i.e., background). Extended speeded up robust features are used in constructing the vocabularies using K-means algorithm. For a test car image, e-SURF keypoints are extracted and possible background keypoints are rejected in order to retain keypoints that of car by using a vocabulary voting strategy. The retained keypoints are then scanned using mean-shift algorithm to find a candidate bounding box of the car. The extraction of keypoints with vocabulary voting and the mean-shift searching technique are repeated to every scale of the down sampled test image. The set of bounding boxes found at every scale are then mapped in to the original test image and a non-maximum suppression technique is used to predict the final bounding box of the car. The system is evaluated on 25 distinctive vehicle classes with 20 images per class. Testing results show that the method has a high detection rate of 96.8% on front-view cars. The method is flexible and can be easily extended to other views such as side or rear view by modifying the visual vocabularies.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124201998","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

Impact of social network usage on the job performance of IT professionals in Sri Lanka 社交网络使用对斯里兰卡IT专业人员工作绩效的影响

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377691

Udaya C. S. Balasuriya, S. Jayalal

引用次数: 3

A hybrid decision tree for printed Tamil character recognition using SVMs 基于支持向量机的泰米尔文字识别混合决策树

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377685

M. Ramanan, A. Ramanan, E. Charles

引用次数: 9