2020 2nd International Conference on Advancements in Computing (ICAC)最新文献_第5页

An Enhanced Virtual Fitting Room using Deep Neural Networks 基于深度神经网络的增强虚拟试衣间

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357160

I.C.S. Ileperuma, H.M.Y.V. Gunathilake, K.P.A.P. Dilshan, S.A.D.S. Nishali, A. I. Gamage, Y. Priyadarshana

{"title":"An Enhanced Virtual Fitting Room using Deep Neural Networks","authors":"I.C.S. Ileperuma, H.M.Y.V. Gunathilake, K.P.A.P. Dilshan, S.A.D.S. Nishali, A. I. Gamage, Y. Priyadarshana","doi":"10.1109/icac51239.2020.9357160","DOIUrl":"https://doi.org/10.1109/icac51239.2020.9357160","url":null,"abstract":"As the customer's experience in present fit-on rooms is considered as an essential part of the textile industry, these fit-on rooms play a huge role in the textile shops. It is quite an arduous method and generates problems like long queues, having to change clothes individually, privacy problems and wasting time. The proposed convolutional neural network-based Virtual Fit-on Room helps to prevent the above mentioned problems. This product contains a TV screen, two web cameras, and a PC. It captures the customer's body by using two web cameras and displays the customer's dressed body. The combination of CNN in Deep learning and AR processes the body detection and generates the customer's dressed object. The application uses the stereo vision concept to get body measurements. The system detects customer age, gender, face type, and skin tones which are used to recommend cloth styles to customers. Another requirement of this system is customizing styles according to the customer requirements and suggests different styles of clothes. The system achieved 99% accuracy when suggesting different styles using FFNN. Customers can choose clothes for another person who does not physically appear with the customer in the textile shop. The expected output delivers the most realistic dressed object to the customer which allows the efficient customizations for the textile products according to customer requirements. This product can highly influence the textile and fashion industry. Therefore, this product is suitable to compete with other applications in the industry.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130126565","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

Domain Specific Conversational Intelligence: Voice Based E-Channeling System 特定领域会话智能:基于语音的电子通道系统

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357308

W.A.H Weerathunga, G.N Lokugamage, Hariharan V, A.D.N.H Yahampath, D. Kasthurirathna

{"title":"Domain Specific Conversational Intelligence: Voice Based E-Channeling System","authors":"W.A.H Weerathunga, G.N Lokugamage, Hariharan V, A.D.N.H Yahampath, D. Kasthurirathna","doi":"10.1109/icac51239.2020.9357308","DOIUrl":"https://doi.org/10.1109/icac51239.2020.9357308","url":null,"abstract":"In this research the application of Automatic Speech Recognition, Natural Language Understanding, Neural Networks and Text To Speech Conversion is investigated to create a domain specific end to end voice based E-Channeling system. The novel idea in this research can be extended to any other domain(e.g.: Taxi Application) and build a conversational intelligence system. This system enables the user to avoid the shortcomings in the traditional doctor appointment channeling procedures. The system also have the ability to predict the doctor specialization according to the symptoms of the patient and can give emergency health tips by using the powerful Neural Network module. Domain-specific speech recognition model is created according to Sri Lankan accents and handles the context-specific to this domain(94% accuracy). Extracting the entities, handling e-channeling functions and selecting the most suitable API is done by the RASA backend. Neural Network will give the first aid and doctor specialization recommendations according to user input with a validation accuracy of 90%. Speech synthesis model will output the response in user preferred language(Sinhala, English or Tamil).","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"78 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113944371","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

The Influence on Mobile Learning: Mobile Learning Contents, Higher Education Institutes, and Communication Technology 对移动学习的影响:移动学习内容、高等教育机构和通信技术

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357139

D. Dolawattha, Salinda Premadasa, P. Jayaweera

{"title":"The Influence on Mobile Learning: Mobile Learning Contents, Higher Education Institutes, and Communication Technology","authors":"D. Dolawattha, Salinda Premadasa, P. Jayaweera","doi":"10.1109/icac51239.2020.9357139","DOIUrl":"https://doi.org/10.1109/icac51239.2020.9357139","url":null,"abstract":"In the present era, mobile learning has secured a better position in modern technology base learning paradigms. It surpasses other conventional learning methods because of ubiquity, mobility, attractive content, facilitated connectivity, and institutional engagements. The main objective of this study is to identify how mobile learning content, higher education institute, and communication technology factors influence learners and teachers when using sustainable mobile learning in higher education. Through the literature review, we developed three separate impact models i.e. mobile learning content, higher education institute, and communication technology with separate impact factors. We used pre and post usage survey questionnaires of 60 teachers and 60 learners to evaluate these models. Primarily, they were asked to fill the pre-usage questionnaire with their initial mobile learning experience. Then, they were allowed to use the modified Moodle mobile app and asked to fill the post-usage questionnaire. The results reveal that the most significant influencing factors are, ease of use in mobile learning content, and facilitating conditions for higher education institutes and communication technology models. Finally, we can conclude that users prefer to have easy to use mobile learning content with better service facilities in higher education institutes and communication technologies.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132052850","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

Character Modifier Combinations Recognition in Sinhala Handwriting 僧伽罗语手写字符修饰符组合识别

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/ICAC51239.2020.9357290

Chamari Silva, N. Jayasundere

引用次数: 2

Evaluation Method for Video Advertisetments Using EEG Signals 基于脑电信号的视频广告评价方法

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357234

Angello Dushantha, Rukshan Akalanka, Hemantha Gayan, Kasun C. Siriwardhana, P. Haddela, L. Wickramasinghe

{"title":"Evaluation Method for Video Advertisetments Using EEG Signals","authors":"Angello Dushantha, Rukshan Akalanka, Hemantha Gayan, Kasun C. Siriwardhana, P. Haddela, L. Wickramasinghe","doi":"10.1109/icac51239.2020.9357234","DOIUrl":"https://doi.org/10.1109/icac51239.2020.9357234","url":null,"abstract":"Video advertisements became very popular in recent past due to the technology advancement and competitiveness of businesses. Therefore, analyzing the impact of commercial video advertisements are important before they launch the marketing campaign. This paper presents a unique method that can evaluate the effectiveness of movie commercials (trailers) using Electroencephalogram (EEG) signals captured from a brain computer interface. Randomly selected fifteen movie lovers were participated to capture EEG signals. For a selected set of movie trailers, three different type of classification models were trained and tested. With the help of classification models, it measures attention and enjoyment levels and also emotion status of a viewer to compute effectiveness of an advertisement. It also consists of a recommender system which suggests movie advertisements based on the preferences of the users. From the initial results received, it confirms that proposed framework is producing promising results. Even though this work focuses on the movie/entertainment industry, it has the potential to be developed and applied for many other industries as well.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123537035","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

MOOCs Recommender based on User Preference and Video Quality 基于用户偏好和视频质量的mooc推荐

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/ICAC51239.2020.9357278

Ranushka Sankalpa, Thushadi Sankalpani, Thulshi Sandeepani, Nisal Ransika, N. Kodagoda, Kushnara Suriyawansa

引用次数: 1

Providing Electronic Health Care Services Through A Private Permissioned Blockchain 通过私人许可的区块链提供电子医疗保健服务

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357135

Lahiru Navaratna, Nipunu Wijesinghe, U. Pilapitiya

引用次数: 0

Mobile-based Assistive Tool to Identify & Learn Medicinal Herbs 基于移动的辅助工具来识别和学习草药

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357247

L. Senevirathne, D. Pathirana, A. Silva, M. G. R. Dissanayaka, D. Nawinna, D. Ganegoda

{"title":"Mobile-based Assistive Tool to Identify & Learn Medicinal Herbs","authors":"L. Senevirathne, D. Pathirana, A. Silva, M. G. R. Dissanayaka, D. Nawinna, D. Ganegoda","doi":"10.1109/icac51239.2020.9357247","DOIUrl":"https://doi.org/10.1109/icac51239.2020.9357247","url":null,"abstract":"Sri Lanka is recognized and valued globally due to its rich heritage of tropical plants, herbs and trees. A need for the valuation of valuable herbs are identified among both Sri Lankans as well as tourists. This paper brings forth a solution in distinguishing medicinal herbs through leaves and flowers using deep learning and image processing algorithms via a mobile application. The proposed mobile application identifies a flower and leaf by its morphological features, such as shape, color, texture. The perspective is to achieve highest accuracy for plant identification using image processing. The proposed model revealed an accuracy of 92.5% in the classification of leaves and flowers. Accuracy of 6 different plants are identified using this method. This application also provides Sinhala virtual assistant which enables user to search herbs using the name, which is popular among people, to obtain information about herbs. The main outcome of the virtual assistant of the research is to develop an information retrieval method on medicinal herbs in a more accurate, easy and efficient way. In addition. this application also provides 3D structure of the selected medicinal herb in augmented reality (AR).","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126927863","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

Algorithms for Automatic Identification and Analysis of Sri Lankan Anopheles Mosquito Species 斯里兰卡按蚊种自动识别与分析算法

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357228

Palanisamy Vigneshwaran, Vaikunthavasan Thiruchenthooran, S. Surendran, N. Ratnarajah

{"title":"Algorithms for Automatic Identification and Analysis of Sri Lankan Anopheles Mosquito Species","authors":"Palanisamy Vigneshwaran, Vaikunthavasan Thiruchenthooran, S. Surendran, N. Ratnarajah","doi":"10.1109/icac51239.2020.9357228","DOIUrl":"https://doi.org/10.1109/icac51239.2020.9357228","url":null,"abstract":"Microscopic digital image processing algorithms are presented here to automatically detect primary morphological features of Sri Lankan anopheline mosquitoes, as an essential step towards the development of automated identification and analysis of various species of anopheline mosquitoes. Mosquitoes that belong to genus Anopheles spread the causative pathogen of malaria. Perfect and speedy species identification is crucial in any surveillance and control strategies. Currently, morphological taxonomic keys are used to identify various species. Two or more primary morphological characteristics, such as a number of dark spots of wings and pale bands of legs, are used in each step of the hierarchical key. To achieve the automatic detection of the primary morphological features, image processing algorithms performed at three levels. At the pre-processing level, methods work with raw, possibly noisy pixel values, with noise reduction and smoothing. In the mid-level, algorithms are utilized pre-processing results for further means with background removing and spots/bands segmentation. At the final level, techniques try to extract the semantics of spots/bands and counting the spots/bands from the information provided. Thirty samples of anopheline mosquitoes' wings and legs microscopic images were analysed with satisfactory results.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123161795","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

“iParking” – Smart way to Automate the Management of the Parking System for a Smart City “iParking”-智慧城市停车系统自动化管理的智能方式

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357140

J. Jayakody, S.A.H.M. Karunanayake, E. Ekanayake, H.K.T.M. Dikkubura, L.A.I.M. Bandara

{"title":"“iParking” – Smart way to Automate the Management of the Parking System for a Smart City","authors":"J. Jayakody, S.A.H.M. Karunanayake, E. Ekanayake, H.K.T.M. Dikkubura, L.A.I.M. Bandara","doi":"10.1109/icac51239.2020.9357140","DOIUrl":"https://doi.org/10.1109/icac51239.2020.9357140","url":null,"abstract":"An efficient and effective smart outdoor parking system is a crucial need with the rapid development of the economy and the improvement of smart city modernization level, traffic and parking have become serious problems due to the explosive growth of the capital number of vehicles. This research will propose proper management for outdoor parking issues with an efficient solution for parking slots availability and occupancy detection using a classification approach and providing real time environment positioning accurate enhancement approach for global positioning system using map matching algorithm to classify vehicle direction on the road with the high precision location. The image processing technology is used to identify a vehicle's license plate and activate access control systems for automatic gate access to authorized members. The proposed system can provide information on promotions for a target audience on a screen where all consumers can view while using the parking facility with the use of machine learning algorithms, this will help to enhance the market value of the proposed system.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121207834","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