2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)最新文献_第6页

Reconfigurable ALU optimization 可重构ALU优化

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377702

Prashan B. Weerasinghe, Chathura De Silva, Sanath Jayasena

引用次数: 0

Contour tracing for isolated Sinhala handwritten character recognition 孤立僧伽罗语手写字符识别的轮廓跟踪

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377662

Chamari Silva, N. Jayasundere, C. Kariyawasam

引用次数: 6

A dynamic semantic space modelling approach for short essay grading 短文评分的动态语义空间建模方法

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377665

G. R. Perera, D. N. Perera, A. Weerasinghe

{"title":"A dynamic semantic space modelling approach for short essay grading","authors":"G. R. Perera, D. N. Perera, A. Weerasinghe","doi":"10.1109/ICTER.2015.7377665","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377665","url":null,"abstract":"The assessment of knowledge is considered as one of the most important aspect of the learning process. Despite its development over decades the underlying problem of `How best to assess learning?' still remains. In the field of education, essay questions are considered as the most appropriate question types for assessment compared to closed questions to evaluate the knowledge of the students. However, evaluation of answers of essay type questions consumes a long time, effort and includes unavoidable human errors. Therefore, the development of an automated essay assessment system is beneficial due to those reasons. The focus of this research is to present a novel approach for automated essay scoring (AES) using Vector Space Models (VSMs) and Natural Language Processing techniques. It employs model answer based evaluation for the scoring process. In order to handle variations in the students' essay answers, NLP techniques (lemmatization, tokenization, handling of spelling mistakes, relation of objects, upper and lower case of words, short term resolution) were used. Proposed approach does not need any pre-training prior to each essay questions compared to most of the existing systems. Importance of this approach is that it does not need any domain specific corpus; instead, a sematic space is built using same students' answers. The scores were derived by comparing the semantic similarity or deviation between the model answer and the student answers and finally provide an accurate and consistent score. Results suggested that there is a strong correlation between the system score and the average human score.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"14 2 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":"124189291","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: 8

A neural network based approach for mobile communication demand prediction 基于神经网络的移动通信需求预测方法

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377716

Y. Anuradha, Nuwan Balasuriya, Menaka Ranasinghe

引用次数: 1

Towards optimising Wi-Fi energy consumption in mobile phones: A data driven approach 优化移动电话Wi-Fi能耗:数据驱动的方法

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377693

H. Bandara, H. A. Caldera

{"title":"Towards optimising Wi-Fi energy consumption in mobile phones: A data driven approach","authors":"H. Bandara, H. A. Caldera","doi":"10.1109/ICTER.2015.7377693","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377693","url":null,"abstract":"Contemporary mobile devices are equipped with multiple network interfaces with diverse characteristics. Although the Wi-Fi interface bestows commendable throughput and data transfer efficiency, it is least power efficient in the idle state and causes highest energy overhead when scanning for networks. In this paper we present a data driven approach to alleviate this issue, focusing on Wi-Fi usage by the user's perspective. We model the Wi-Fi usage of mobile users based on their past usage to predict usage requirements. This allows intelligently switching on the Wi-Fi interface only if the user context demands. Thus, it reduces long periods of time being in the idle state and significantly lessens the number of futile network scans. Based on the trace data collected from Rice-Livelab study, we extract temporal, application usage, operational state and location context data to build our prediction model. This study includes a systematic feature engineering process followed by the deployment of machine learning algorithms on the target dataset. We used Sampling, Ensemble and Hybrid techniques to mitigate the class imbalance problem of our prediction model. Evaluated metrics indicate that decision tree based classification algorithms perform well with the dataset and suit for working with mobile usage data, which are mostly conflated with noise, data imbalance.","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":"124111847","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

Analysis of the necessity of developing regulatory guidelines for eMoney Operations in Sri Lanka 分析斯里兰卡为电子货币业务制定监管准则的必要性

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377705

Sandun Hapugoda, C. Hewagamage

引用次数: 2

Language localisation of Tamil using Statistical Machine Translation 使用统计机器翻译的泰米尔语语言本地化

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377677

Y. Achchuthan, Kengatharaiyer Sarveswaran

{"title":"Language localisation of Tamil using Statistical Machine Translation","authors":"Y. Achchuthan, Kengatharaiyer Sarveswaran","doi":"10.1109/ICTER.2015.7377677","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377677","url":null,"abstract":"Language localisation, where the strings in interface and documentation are translated to a new language, is a rigorous and time consuming task. On the other hand machine translation systems, specifically Statistical Machine Translation (SMT) systems, are successfully used among many language pairs. A few SMT systems have been developed for generic domain; however, there are no systems available to aid localisation yet. This research proposes a new methodology in which language localisation can be done using SMT. This research also identifies suitable parameters on which a SMT aided localisation system could be built. A pilot system is developed and the system is also outlined in this paper. A RESTful API has also been developed to facilitate localisation in remote tools. Several open source software have been translated already to Tamil. Those translated English - Tamil pairs were collected from various language resource files and then cleaned, tokenised and were used to train the system. Another similar system is prepared with data from generic domain apart from the collected technical data. Systems were trained with 2-gram, 3-gram and 4-gram language models that are created using two different language modelling tools namely KenLM and IRSTLM. Then the results were evaluated using BLEU algorithm. Appropriate parameters for setting up SMT system for localisation were identified from the evaluation. The results show that it would be enough to train a system with 3-gram, and the modified BLEU algorithm will give better understanding of the results compare to the original implementation of it. Further KenLM was found to perform better than IRSTM in terms of accuracy of results and the speed of execution.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"263 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":"132504793","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

Foreword by the co-chairs 共同主席作序

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377650

G. Wikramanayake, D. Ranasinghe

{"title":"Foreword by the co-chairs","authors":"G. Wikramanayake, D. Ranasinghe","doi":"10.1109/ICTER.2015.7377650","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377650","url":null,"abstract":"ICTER is now recognized as a significant annual event in the academic and research calendar of ICT researchers in Sri Lanka and in the region having being conducted for the 15th successive year. This is amply illustrated by the fact that ICTER has been able to attract a large number of paper submissions this year numbering 130 from all over the world, out of which 44 full papers and 32 poster presentations have been accepted after a double blind peer review process. Moreover, this year, we are proud to collaborate with the organizers of the 8th International conference on Ubi-Media Computing in co-locating two conferences offering the maximum benefit to the research community. The two day conference with five parallel tracks consisting of key note speeches, paper and poster presentation and mini symposia will enable the widest exposure to the attendee this year. We would like to express our gratitude to the dedicated work of the program committee in reviewing the papers; the steering committee for their excellent planning in attracting the Ubi-media partners to this year's event and the planning that was required for the combined event. We would also like to extend our thanks to all the financial sponsors, who have been with us over the years, and all those who have tirelessly worked to bring the event into fruition. We wish all participants an extremely fruitful two days of deliberations and leading to many more collaborations between the research and the industry communities in extending the horizons of the ICT landscape in Sri Lanka.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"114 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":"116439946","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

A study of cloud variation on the commencement of South-West monsoon around the Sri Lankan region 斯里兰卡地区西南季风开始时云量变化的研究

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377663

S. Ramanayake, H. L. Premaratne

{"title":"A study of cloud variation on the commencement of South-West monsoon around the Sri Lankan region","authors":"S. Ramanayake, H. L. Premaratne","doi":"10.1109/ICTER.2015.7377663","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377663","url":null,"abstract":"Due to the high uncertainty involved in weather forecasting, more accurate methods need to be explored. In this paper a novel approach based on the cloud shape stability to predict the arrival of South-West monsoon is proposed. The cloud shape stability which is determined by the pixel orientation based on the neighbourhood of cloud images begins to drop in April-May and remains in that low level in subsequent months of peak monsoon period (May-September) in all three years 2012, 2013 & 2014 considered in this research. The cloud cover which is determined by the brightness of the pixel starts to go up in the same period and remains in that high level in the same monsoon peak period. When the seven day moving average cloud shape life time is plotted for the months April, May & June for all three years, a bell shaped gradual increase and decrease phenomenon can be observed for late May. Moreover, after decrease of the life time, no momentous life time increase or fluctuation is observed until the end of June. The above decrease happens due to the fact that, the monsoon onset week is determined right after the highest point of that bell shape. Therefore, probable days or a week of the SW monsoon onset can accurately be confirmed as May 18 - May 21, May 25 - May 28 & May 17 - May 20 in the years 2012, 2013 & 2014 respectively according to the above phenomenon. The proposed method can be adopted to predict the arrival of S-W monsoon more accurately in the future.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"68 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":"127234879","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

Mapping land-use pattern using image processing techniques for Medium resolution satellite data: Case study in Matara District, Sri Lanka 利用中分辨率卫星数据的图像处理技术绘制土地利用格局:斯里兰卡Matara地区的案例研究

2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2015-08-01 DOI: 10.1109/ICTER.2015.7377674

T. Warnasuriya

{"title":"Mapping land-use pattern using image processing techniques for Medium resolution satellite data: Case study in Matara District, Sri Lanka","authors":"T. Warnasuriya","doi":"10.1109/ICTER.2015.7377674","DOIUrl":"https://doi.org/10.1109/ICTER.2015.7377674","url":null,"abstract":"Last few decades the land-use pattern has changed in Matara District in Sri Lanka due to the influence of both natural and anthropogenic hazard impacts. These hazards have caused the interruption for social, economic and the environmental sectors in this area. Since the comprehensive field surveys are highly expensive, time consuming and requiring more human power the remote sensing satellite images can be used to map the changing pattern of land-use types over a large period of time. This study focuses on how far remote sensing data give the information on land-use pattern change as an effective information and communication technology in collaboration with GIS. The Medium resolution Lansdsat satellite images were used in this study because they are freely and readily available therein cost effective and highly efficient. The ground features have been extracted from the images in 1990, 1993, 2001, 2003, 2005, 2009 and 2014 respectively. Water body has been extracted using NIR band by using single band classification method while the vegetation cover was extracted by using Normalized Difference Vegetation Index (NDVI). Multiband image classification was also implemented for each year using Maximum Likelihood Classification. According to the results, the land-use pattern has changed over the last 24 years in a significant level. The accuracy of the Maximum Likelihood Classification is 84.43%.","PeriodicalId":142561,"journal":{"name":"2015 Fifteenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"92 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":"125399034","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