2021 6th International Conference on Information Technology Research (ICITR)最新文献

Usage of Topic Modeling Method for High Dimensional Gene Expression Data Analysis 主题建模方法在高维基因表达数据分析中的应用

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657380

S. Senadheera, A. Weerasinghe

{"title":"Usage of Topic Modeling Method for High Dimensional Gene Expression Data Analysis","authors":"S. Senadheera, A. Weerasinghe","doi":"10.1109/ICITR54349.2021.9657380","DOIUrl":"https://doi.org/10.1109/ICITR54349.2021.9657380","url":null,"abstract":"Gene expression data analysis is a major area in biological system interpretation. Since, gene expression data have large numbers of variables, high dimensional clustering methods are required for analysis. The objectives of this study were to understand the effectiveness of different clustering methods in gene expression data analysis based on biological relatedness and study of the advantages and disadvantages of different clustering strategies in gene expression analysis. The data was obtained from the GSE19830 dataset and the brain tumor data (TCGA project). To test the hard clustering, hierarchical clustering and fuzzy clustering, the K-means algorithm, HClust and topic modeling were used respectively. Prior knowledge about the dataset was required to define the number of clusters (K). Initially, the GSE19830 (Brain, Lung, Liver tissue mixture) dataset was used for developing the clusters. All models clustered the observations similar to the physical tags in the dataset. Secondly, Clustering methods were developed with the brain tumor dataset consisting of 202 samples (four specified physically categorized tumors). According to hierarchical clustering and topic modeling, when analyzing similar tissues, gene expression tumor subtypes (clusters) were not aligned with physical categorization. Finally, 81 cancer genes were filtered and generated a topic model. In order to understand the biological relevance of the final model, Reactome and PCViz tools were used. Reactome results supported topics developed from topic modeling. According to the results, in high dimensional data analysis, topic modeling was found to be a promising approach for gene expression based clustering while K-means was found to be inappropriate for gene clustering.","PeriodicalId":188174,"journal":{"name":"2021 6th International Conference on Information Technology Research (ICITR)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124733948","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

Novel Approach for Load Balancing in Mobile Cloud Computing 移动云计算中负载均衡的新方法

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657441

R.A.A.I.B. Ranapana, K. Jayasena

引用次数: 1

Exploring Unorthodox Predictors of Smartphone Addiction during the COVID-19 Outbreak 在COVID-19爆发期间探索智能手机成瘾的非正统预测因素

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657409

G. H. B. A. De Silva, T. Sandanayaka, M. Firdhous

{"title":"Exploring Unorthodox Predictors of Smartphone Addiction during the COVID-19 Outbreak","authors":"G. H. B. A. De Silva, T. Sandanayaka, M. Firdhous","doi":"10.1109/ICITR54349.2021.9657409","DOIUrl":"https://doi.org/10.1109/ICITR54349.2021.9657409","url":null,"abstract":"Smartphones became an integral part of household & corporate management across all industries which resulted in high screen time, & smartphone addiction during the pandemic. This study attempts to examine the association between sociodemographic factors, & perceived smartphone addiction towards real smartphone addiction. Kwon's (2013) validated Smartphone Addiction Survey was used to collect data from the identified subjects (n = 192), and descriptive analyzes and statistical crosstabs were used to infer the associations. The results portray that Sex and Age are strong predictors of smartphone addiction: females over males tend to get addicted to smartphones, while age below 25 is highly addicted to smartphones, and age over 41 is less smartphone addict. The level of education is a moderately fair predictor of smartphone addiction. The higher the level of education, the higher the tendency to become addicted to smartphones. Marital status is not a good predictor of smartphone addiction in context, and there is no difference between being married or not of smartphone addiction. Perceived smartphone addiction is a good predictor of smartphone addiction, who believe they are addicted are more likely to become addicted to smartphones, and vice versa.","PeriodicalId":188174,"journal":{"name":"2021 6th International Conference on Information Technology Research (ICITR)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128206865","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

Ontology Based Fake News Detection for Sinhala Language 基于本体的僧伽罗语假新闻检测

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657257

Odatha Bandara, D.G.T.S. Jayarathne, Dilshani Shashinika, L. Ranathunga

引用次数: 2

Design of a Novel Current Controlling Module for Functional Electrical Stimulation (FES) System 一种新型功能电刺激系统电流控制模块的设计

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657272

D. R. P. Chamal, M. I. M. Fernando, W. P. M. W. Kulathunga, K. Pathirana, N. Prins

引用次数: 0

Thuryalankara: Artificial Intelligence Based Audio Plugin For Sri Lankan Percussion Instruments Thuryalankara:基于人工智能的斯里兰卡打击乐器音频插件

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657391

P.D.C. Fernando, B.A.N. Fernando, I.U. Wanaguru, M. Perera, Thilini Buddhika, N. Kodagoda, D. Ganegoda

{"title":"Thuryalankara: Artificial Intelligence Based Audio Plugin For Sri Lankan Percussion Instruments","authors":"P.D.C. Fernando, B.A.N. Fernando, I.U. Wanaguru, M. Perera, Thilini Buddhika, N. Kodagoda, D. Ganegoda","doi":"10.1109/ICITR54349.2021.9657391","DOIUrl":"https://doi.org/10.1109/ICITR54349.2021.9657391","url":null,"abstract":"Sri Lankan music is yet to prove its musical prowess by incorporating artificial intelligence tools, therefore, this research introduces a novel invention, an automated audio plugin for music producers, so the process of creating, mixing, mastering, and producing music is easier. To achieve this, the research introduces a Variational AutoEncoder (VAE) machine learning model to create and generate music, an artificial intelligence (AI) system that can automate the mastering process. This research also introduces an innovative component, a virtual instrumentation tool using MIDI technology for the Sri Lankan percussion instruments that allow users to play the instrument virtually using a MIDI keyboard, and alongside it, a preset beat generator that automatically maintain tempo consistency. Thuryalankara was able to receive a collective average of 80% accuracy rate exceeding the predicted accuracy rate of 65% from the software benchmarking test and the physical survey conducted with music producers. Finally, with the inclusion of powerful tools like this, the ultimate objective of this research is to take the Sri Lankan instruments to the international level where any producer from little to plenty experience is able to use this plugin to enhance their musical production.","PeriodicalId":188174,"journal":{"name":"2021 6th International Conference on Information Technology Research (ICITR)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134641354","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

Digital Platform to Empower the Self-Employment in Sri Lanka 数字平台助力斯里兰卡自主创业

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657410

H.C.P. Wickramasinghe, T.D. Thebuwana, G.K.H.S. Wijesinghe, U.N. Dissanayake, N. Kodagoda, Kushnara Suriyawansa

{"title":"Digital Platform to Empower the Self-Employment in Sri Lanka","authors":"H.C.P. Wickramasinghe, T.D. Thebuwana, G.K.H.S. Wijesinghe, U.N. Dissanayake, N. Kodagoda, Kushnara Suriyawansa","doi":"10.1109/ICITR54349.2021.9657410","DOIUrl":"https://doi.org/10.1109/ICITR54349.2021.9657410","url":null,"abstract":"Unemployment is a huge problem around the world because a lack of job opportunities. People are unable to find the job opportunities according to their preferences and qualifications. As a solution for this, many countries are attempting to empower self-employment. Most of current world problems have been solved using modern technologies. Therefore, the development of self-employment also can be achieved through modern technology. The objective of our proposed platform, HIRELANCER, is empowering self-employment using modern technologies. HIRELANCER is bringing the consumers, service providers, and suppliers into the same platform. HIRELANCER will consist of innovative features that go beyond comparatively to other platforms such as an advanced mechanism to find best suitable service providers/suppliers for the service, handling the virtual front-desk, cost estimation for the services prior to contacting a service provider, and advanced facility to find a suitable career path for the people who are seeking career guidance. This research paper discusses how the innovative features of HIRELANCER will be beneficial for consumers, service providers, and suppliers and ultimately achieve our main objective, which is empowering self-employment in Sri Lanka.","PeriodicalId":188174,"journal":{"name":"2021 6th International Conference on Information Technology Research (ICITR)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114781139","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

Web Based User-Friendly Graphical Interface to Control Robots with ROS Environment 基于Web的用户友好图形界面在ROS环境下控制机器人

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657337

Dinodi Divyanjana Rajapaksha, Mohamed Nafeel Mohamed Nuhuman, Sewmini Dananji Gunawardhana, Atchuthan Sivalingam, Mohamed Nimran Mohamed Hassan, S. Rajapaksha, C. Jayawardena

引用次数: 9

Adapting MaryTTS for Synthesizing Sinhalese Speech to Communicate with Children 利用MaryTTS合成僧伽罗语与儿童交流

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657394

M.A.J.A. Lakmal, K.A.D.G. Methmini, D.M.H.M. Rupasinghe, D.I. Hettiarachchi, Vijani S. Piyawardana, Manuri Senarathna, Shyam Reyal, K. Pulasinghe

{"title":"Adapting MaryTTS for Synthesizing Sinhalese Speech to Communicate with Children","authors":"M.A.J.A. Lakmal, K.A.D.G. Methmini, D.M.H.M. Rupasinghe, D.I. Hettiarachchi, Vijani S. Piyawardana, Manuri Senarathna, Shyam Reyal, K. Pulasinghe","doi":"10.1109/ICITR54349.2021.9657394","DOIUrl":"https://doi.org/10.1109/ICITR54349.2021.9657394","url":null,"abstract":"The majority of the Sri Lankan population speak Sinhala, which is also the country's mother tongue. Sinhala is a difficult language to learn by children aged between 1–6 years when compared to other languages. Text to speech system is popular among children who have difficulties with reading, especially those who struggle with decoding. By presenting the words auditorily, the child can focus on the meaning of words instead of spending all their brainpower trying to sound out the words. In Sri Lanka, however, computer systems based on the Sinhala language especially for children are extremely rare. In this situation having a Sinhala text-to-speech technology for communicating with children is a helpful option. Intelligibility should be considered deeply in this system because this is specific for children. Recordings of a native Sinhalese speaker were used to synthesize a natural-sounding voice, rather than a robotic voice. This paper proposes an approach of implementing a Sinhalese text-to-speech system for communicating with children using unit selection and HMM -based mechanisms in the MaryTTS framework. Although a work in progress, the intermediate findings have been presented.","PeriodicalId":188174,"journal":{"name":"2021 6th International Conference on Information Technology Research (ICITR)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123405297","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

eKeth: A Machine Learning-Based Mobile Platform to Facilitate the Paddy Cultivation Process in Sri Lanka eKeth:一个基于机器学习的移动平台，以促进斯里兰卡的水稻种植过程

2021 6th International Conference on Information Technology Research (ICITR) Pub Date : 2021-12-01 DOI: 10.1109/ICITR54349.2021.9657468

J. Premachandra, Ppnv Kumara

{"title":"eKeth: A Machine Learning-Based Mobile Platform to Facilitate the Paddy Cultivation Process in Sri Lanka","authors":"J. Premachandra, Ppnv Kumara","doi":"10.1109/ICITR54349.2021.9657468","DOIUrl":"https://doi.org/10.1109/ICITR54349.2021.9657468","url":null,"abstract":"Agriculture is a significant source of human survival and it accounts for the socio-economic growth in many developing countries including Sri Lanka. Paddy Cultivation occupies a remarkable place in Sri Lankan agricultural sector. Unpredictable climatic change has become a critical issue for paddy farmers while unawareness on pest, diseases, new technologies, etc. have also adversely affected Paddy Cultivation productivity. As a solution, the focus on the requirement of accurate weather predictions and timely access to the information for decision-making in Paddy Cultivation is highly progressive. This study introduces eKeth: a mobile platform that provides proper guidance for Sri Lankan paddy farmers through allowing timely access to data enhanced with machine learning. A weather prediction model based on machine learning has been developed to recommend the most suitable days for each farming task in paddy cultivation. The application includes several other features integrated with this machine learning model. Farmers can directly reach help from agriculture experts by posting a query on pest and disease-based issues. Fertilizer management feature allows calculating the amount of fertilizers upon different paddy types and growth stages. Buy and sell feature integrated with this mobile solution guide farmers on newly available machineries and the places where they can make purchases. Farmers can stay updated with the latest agriculture news though the news module while maintaining communications with other farmers and agriculture experts through the community forum empowered by this application. Machine Learning Model used in weather prediction achieved 89% accuracy for Random Forest. Statistical analysis of the user testing results recognizes that the system has been able to achieve a higher user satisfaction.","PeriodicalId":188174,"journal":{"name":"2021 6th International Conference on Information Technology Research (ICITR)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121839085","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