2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer)最新文献_第2页

Differential diagnosis of eczema and psoriasis using categorical data in image processing 用图像处理分类数据鉴别诊断湿疹和牛皮癣

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257819

Uvin Withana, Pumudu Fernando

引用次数: 5

Semi-supervised instance population of an ontology using word vector embedding 基于词向量嵌入的本体半监督实例填充

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257822

Vindula Jayawardana, D. Lakmal, Nisansa de Silva, A. Perera, Keet Sugathadasa, Buddhi Ayesha, M. Perera

引用次数: 23

Improving diagnostic viewing of Coronary Cine-angiogrphy through frequency filtering based frame enhancement method 基于频率滤波的帧增强方法提高冠状动脉造影诊断效果

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257792

W. S. Wajiramali, D. Chathurika, D.A.N. Gunasekara, I.A.M.S. Ranasinghe, R. Rathnayake, K. Kulathilake

{"title":"Improving diagnostic viewing of Coronary Cine-angiogrphy through frequency filtering based frame enhancement method","authors":"W. S. Wajiramali, D. Chathurika, D.A.N. Gunasekara, I.A.M.S. Ranasinghe, R. Rathnayake, K. Kulathilake","doi":"10.1109/ICTER.2017.8257792","DOIUrl":"https://doi.org/10.1109/ICTER.2017.8257792","url":null,"abstract":"Coronary angiography is an invasive medical image modality which is widely used in Interventional Cardiology to detect luminal obstructions in Coronary Arteries (CA). It has been reported that these recorded Coronary Cine-angiograms (CCA) are suffered from various visual artifacts such as noise, non-uniform illumination, low contrast and epicardial motion. As a consequence of these problems, the diagnostic visualization of the CCA degrades. In this study, it has been proposed a frequency filtering based frame enhancement method for CCA to improve its diagnostic visualization. The proposed method is based on homomorphic butter worth high pass filter and empirically validated contrast stretching technique. In order to correct the epicardial deformations optical flow based frame stabilization method has been applied in later stage of the proposed method. Study results clearly emphasized the visual improvement obtained through this novel method. The resulting enhanced CCA frames produced in this study can be further used to improve the angiography image modality for quantitative stenosis assessment.","PeriodicalId":140093,"journal":{"name":"2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122878512","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

Automatic detection of multi-line templates in software log files 自动检测软件日志文件中的多行模板

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257824

P. Jayathilake, N. R. Weeraddana, H. K. E. P. Hettiarachchi

{"title":"Automatic detection of multi-line templates in software log files","authors":"P. Jayathilake, N. R. Weeraddana, H. K. E. P. Hettiarachchi","doi":"10.1109/ICTER.2017.8257824","DOIUrl":"https://doi.org/10.1109/ICTER.2017.8257824","url":null,"abstract":"This research proposes a method for automatically identifying and coding the structure in any text log file. Generated code is expressed in the declarative language LDEL, which was designed and implemented during earlier stages of this research. Once the code is available, the LDEL parser is able to scan a log file with the particular structure and extract log information into a tree-based data structure. Subsequently the extracted information can be processed according to prespecified logic, which is expressed in a procedural language which also was developed as a prior stage in this research. The language scheme used for expressing log file structure was carefully designed after examining log files from numerous domains as a result of the main author's previous research. This scheme is capable of capturing peculiar patterns occurring both within and across lines in log files. Since the development of this scheme and the procedural language, it was noticed that significant manual work was needed for a human expert to examine the log file and write the script that captures its structure. This approach was both time consuming and error prone. With this research we propose and evaluate a method to automatically detect a larger part of the log file structure so that the human specialist can use the generated script with minimal or no modifications.","PeriodicalId":140093,"journal":{"name":"2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"198 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125729029","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

Self-correcting portable projector 自校正便携式投影仪

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257801

D. Kulasekara, D. Sandaruwan, C. Keppitiyagama, N. Kodikara

引用次数: 1

Improve software quality through practicing DevOps 通过实践DevOps提高软件质量

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257807

Pulasthi Perera, Roshali Silva, I. Perera

{"title":"Improve software quality through practicing DevOps","authors":"Pulasthi Perera, Roshali Silva, I. Perera","doi":"10.1109/ICTER.2017.8257807","DOIUrl":"https://doi.org/10.1109/ICTER.2017.8257807","url":null,"abstract":"DevOps is extended from certain agile practices with a mix of patterns intended to improve collaboration between development and operation teams. The main purpose of this paper is to conduct a study on how DevOps practice has impacted to software quality. The secondary objective is to find how to improve quality efficiently. A literature survey has carried out to explore about current DevOps practices in industry. According to the literature survey, the conceptual research model was developed and five hypotheses were derived. Research objectives were accomplished by testing hypotheses using Pearson correlation. A linear model is derived based on the linear regression analysis. An online questionnaire was used to collect quantitative data whereas interviews with experts on DevOps and Quality assurance have been used to identify how to improve the quality of software by practicing DevOps. Recommendations are given based on interview feedback, hypotheses testing with regression analysis. According to the quantitative study, researchers have identified that quality of the software gets improved when practice DevOps by following CAMS (Culture, Automation, Measurement, Sharing) framework. Automation is the most critical factor to improve the software quality. As per the results of multiple regression analysis, it has proved culture, automation, measurement and sharing are important factors to consider to improve quality of the software. In conclusion it can be recommended to use DevOps to achieve high quality software.","PeriodicalId":140093,"journal":{"name":"2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121743660","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: 58

Design and analysis of an under water visible light MIMO communication system with a camera receiver 带相机接收器的水下可见光多输入多输出通信系统的设计与分析

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257806

Pramod D. Munaweera, M. Akram, D. Aravinda, R. Godaliyadda, Parakrama B. Ekanayake

{"title":"Design and analysis of an under water visible light MIMO communication system with a camera receiver","authors":"Pramod D. Munaweera, M. Akram, D. Aravinda, R. Godaliyadda, Parakrama B. Ekanayake","doi":"10.1109/ICTER.2017.8257806","DOIUrl":"https://doi.org/10.1109/ICTER.2017.8257806","url":null,"abstract":"In this paper, design, implementation and analysis of a new underwater multiple input multiple output visible light communication (VLC) system is presented. The VLC system consists of a transmitter, water channel, and a receiver. The transmitter is made out of light emitting diodes (LEDs'), while a camera based architecture is adopted at the receiver. We present a possible system design and characterize the channel for symbol detection. At the training phase, the underwater channel is characterized using a channel matrix, which presents the relationship between the multiple input LED states and the pixel values of the frame in the video stream obtained from the camera receiver. Thereafter the inverse model of the system is obtained. Then symbol detection is carried out by analysing consecutive frames of the real-time video stream. Also we analyse the performance of this system in terms of the bit error rate (BER), bit rate, behaviour of the system at different transmission distances, and present results using the experimental setup. From our study, it was realised that, reasonable BER performance can be achieved using the proposed system designs at low and medium transmission distances compared to most of the existing underwater communication systems.","PeriodicalId":140093,"journal":{"name":"2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"87 22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126301154","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

Improving trusted routing by identifying malicious nodes in a MANET using reinforcement learning 通过使用强化学习识别MANET中的恶意节点来改进可信路由

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257821

Hansi Mayadunna, Shanen Leen De Silva, Iesha Wedage, Sasanka Pabasara, L. Rupasinghe, Chethena Liyanapathirana, K. Kesavan, C. Nawarathna, Kalpa Kalhara Sampath

{"title":"Improving trusted routing by identifying malicious nodes in a MANET using reinforcement learning","authors":"Hansi Mayadunna, Shanen Leen De Silva, Iesha Wedage, Sasanka Pabasara, L. Rupasinghe, Chethena Liyanapathirana, K. Kesavan, C. Nawarathna, Kalpa Kalhara Sampath","doi":"10.1109/ICTER.2017.8257821","DOIUrl":"https://doi.org/10.1109/ICTER.2017.8257821","url":null,"abstract":"Mobile ad-hoc networks (MANETs) are decentralized and self-organizing communication systems. They have become pervasive in the current technological framework. MANETs have become a vital solution to the services that need flexible establishments, dynamic and wireless connections such as military operations, healthcare systems, vehicular networks, mobile conferences, etc. Hence it is more important to estimate the trustworthiness of moving devices. In this research, we have proposed a model to improve a trusted routing in mobile ad-hoc networks by identifying malicious nodes. The proposed system uses Reinforcement Learning (RL) agent that learns to detect malicious nodes. The work focuses on a MANET with Ad-hoc On-demand Distance Vector (AODV) Protocol. Most of the systems were developed with the assumption of a small network with limited number of neighbours. But with the introduction of reinforcement learning concepts this work tries to minimize those limitations. The main objective of the research is to introduce a new model which has the capability to detect malicious nodes that decrease the performance of a MANET significantly. The malicious behaviour is simulated with black holes that move randomly across the network. After identifying the technology stack and concepts of RL, system design was designed and the implementation was carried out. Then tests were performed and defects and further improvements were identified. The research deliverables concluded that the proposed model arranges for highly accurate and reliable trust improvement by detecting malicious nodes in a dynamic MANET environment.","PeriodicalId":140093,"journal":{"name":"2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128376573","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: 10

Large scale visual classification with SVM, create the unique article through NLP 支持向量机大规模视觉分类，通过自然语言处理生成独特文章

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257788

M.A.N. Madushani

引用次数: 0

State-of-art-in-indoor navigation and positioning of visually impaired and blind 最先进的视障人士和盲人室内导航和定位技术

2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer) Pub Date : 2017-09-01 DOI: 10.1109/ICTER.2017.8257826

C. S. Silva, P. Wimalaratne

引用次数: 10