2020 2nd International Conference on Advancements in Computing (ICAC)最新文献_第9页

ChildPath: Diagnose depression in pre-schoolers based on daily activities 儿童路径:根据日常活动诊断学龄前儿童抑郁症

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/icac51239.2020.9357230

Logeswaran Kirthika, J. Abeykoon

引用次数: 0

Candidate Selection for the Interview using GitHub Profile and User Analysis for the Position of Software Engineer 利用GitHub档案和用户分析筛选软件工程师职位面试候选人

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/ICAC51239.2020.9357279

R. Gajanayake, M.H.M. Hiras, P.I.N. Gunathunga, E.G. Janith Supun, Anuradha Karunasenna, P. Bandara

{"title":"Candidate Selection for the Interview using GitHub Profile and User Analysis for the Position of Software Engineer","authors":"R. Gajanayake, M.H.M. Hiras, P.I.N. Gunathunga, E.G. Janith Supun, Anuradha Karunasenna, P. Bandara","doi":"10.1109/ICAC51239.2020.9357279","DOIUrl":"https://doi.org/10.1109/ICAC51239.2020.9357279","url":null,"abstract":"Selecting the most suitable candidates for interviews is an important process for organizations that can affect their overall work performance. Typically, recruiters check Curriculum Vitae (CV), shortlist them and call candidates for interviews which have been the way of recruiting new employees for a long time. To minimize the time spent on the above process, pre-screening mechanisms are nowadays implemented by organizations. However, those mechanisms need sufficient information to evaluate the candidate. For example, in case of a software engineer, the recruiters are interested on the programming ability, academic performance as well as personality traits of potential candidates. In this research, a pre-screening solution is proposed to screen the applicants for the post of Software Engineer where candidates are screen based on an initial call transcript, GitHub profile, LinkedIn profile, CV, Academic transcript and, Recommendation letters. This approach extracts textual features of different dimensions based on Natural Language Processing to identify the Big Five personality traits, CV and GitHub insights, candidate's skills, background, and capabilities from Recommendation letters as well as programming skills and knowledge from Academic transcript and Linked Profile. The results obtained from the different areas are presented and shown that the selected supervised machine learning algorithms and techniques can be used to evaluate the best possible candidates.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"23 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":"129291610","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: 3

Impact of Non-Functional Requirements on the Success of Ubiquitous Systems 非功能性需求对泛在系统成功的影响

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/ICAC51239.2020.9357287

S. Sandeepani, D. Nawinna

{"title":"Impact of Non-Functional Requirements on the Success of Ubiquitous Systems","authors":"S. Sandeepani, D. Nawinna","doi":"10.1109/ICAC51239.2020.9357287","DOIUrl":"https://doi.org/10.1109/ICAC51239.2020.9357287","url":null,"abstract":"With the recent advancements of technology, Ubiquitous Systems have rapidly become popular all over the world. It is a new paradigm that focuses on smooth integration of technology in human environments enabling users to access information and functionality anytime and anywhere. Software development companies nowadays increasingly invest in the ubiquitous system development projects in order to stay competitive and survive in the IT Industry. Success of ubiquitous system development projects heavily depends on Nonfunctional user requirements. Identification of the nonfunctional requirements is challenging since it represents the quality attributes of the system and are not directly measurable. This quantitative research aims to evaluate the different types of non-functional requirements that significantly contribute to the success of ubiquitous system development projects. This study was based on the data collected from the software industry in Sri Lanka. The results of this study indicate that both the product-related and organizational-related nonfunctional requirements strongly affect the ubiquitous systems success. The findings provide insights to the vendors of ubiquitous system development companies in the software industry.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"1 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":"128673610","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: 3

Smart Intelligent Advisory Agent for Farming Community 农业社区智能咨询代理

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/ICAC51239.2020.9357321

T.S. Illandara, H.L.S.R.P De Silva, K.S.H. Madurawala, B.R.D. Dayasena, Udara Srimath, S. Samaratunge Arachchillage, Thilini Buddhika

{"title":"Smart Intelligent Advisory Agent for Farming Community","authors":"T.S. Illandara, H.L.S.R.P De Silva, K.S.H. Madurawala, B.R.D. Dayasena, Udara Srimath, S. Samaratunge Arachchillage, Thilini Buddhika","doi":"10.1109/ICAC51239.2020.9357321","DOIUrl":"https://doi.org/10.1109/ICAC51239.2020.9357321","url":null,"abstract":"The currently available agricultural services have few limitations because of the traditional cultivation methods and the unavailability of experts. This research attempts to solve the major problems faced by farmers using an Intelligent Expert Advisory Agent (EAA) that would act as a human counterpart to provide reliable solutions in real-time to the farmers using Machine Learning (ML), Image Processing (IP), and Internet of Things (IoT) technologies. A web application is developed to provide meaningful information to the user by representing agriculture instructors. Using the web application, the farmer can obtain information about predicted weather up to two months. Once the crop is selected, suitable organic fertilizers are suggested to maximize the productivity of the cultivation. After planting, the farmer can continuously monitor the condition of the plants in real-time using the IoT system. Based on this information, the farmer can check if the conditions are optimum for the growth of the plant by interacting with the knowledge base system. If the plants get infected with diseases, the user can capture an image of the diseased plant using the implemented mobile application and send to the IP system to identify the diseases and suggests remedies to overcome the situation.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"32 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":"116656271","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: 3

DNN based Currency Recognition System for Visually Impaired in Sinhala 基于深度神经网络的僧伽罗语视障货币识别系统

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/ICAC51239.2020.9357295

C. Y. Gamage, J. R. M. Bogahawatte, U. Prasadika, S. Sumathipala

引用次数: 2

Real- Time Location based Augmented Reality Advertising Platform 实时定位增强现实广告平台

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/ICAC51239.2020.9357261

B.I. Batuwanthudawa, K. Jayasena

{"title":"Real- Time Location based Augmented Reality Advertising Platform","authors":"B.I. Batuwanthudawa, K. Jayasena","doi":"10.1109/ICAC51239.2020.9357261","DOIUrl":"https://doi.org/10.1109/ICAC51239.2020.9357261","url":null,"abstract":"Augmented Reality (AR) is growing rapidly and is becoming more mature and robust technology, combining virtual information with a real-time performance environment. Most of the Augmented reality applications available today & popular because of the interactive virtual objects placed in the real environment. For education, navigation, tourism & many sectors use this technology due to clear understand of real objects appear as it is as virtual objects, in front of you. Like that, the Marketing sector also uses AR technology to brand themselves interactively. Most of them are marker-based AR applications which the virtual contents are showing when the AR camera directs to a target such as paper advertisement. On other hand marker-less AR advertising applications are developed for individual businesses from AR supported plugins, apps rare to see & as unique published app. From this research, I proposed a real-time marker-less augmented reality platform, streaming & showcasing virtual marketing assets in front of shops for common business use. The main objective of this research is to develop a real-time location-based Augmented Reality platform to improve marketing & sales aspects of businesses. The users can easily find the exact location of the shop though AR objects. This novel marketing concept engages more customers to business and enhances the usability of AR application among users though easy to access on their selling products. The users can use app in native platforms(both android & IOS) and ready to access interactive virtual 3D objects with animation as marketing materials placed in front of shops. This platform solved the existing problems of location-based AR application which are interactivity of AR & adequately perform as real-time platform extract data from a live real-time server & show the locations through AR camera.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"3 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":"127037647","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

Vehicle Recommendation System using Hybrid Recommender Algorithm and Natural Language Processing Approach 基于自然语言处理和混合推荐算法的车辆推荐系统

2020 2nd International Conference on Advancements in Computing (ICAC) Pub Date : 2020-12-10 DOI: 10.1109/ICAC51239.2020.9357156

P. Boteju, Lankeshwara Munasinghe

{"title":"Vehicle Recommendation System using Hybrid Recommender Algorithm and Natural Language Processing Approach","authors":"P. Boteju, Lankeshwara Munasinghe","doi":"10.1109/ICAC51239.2020.9357156","DOIUrl":"https://doi.org/10.1109/ICAC51239.2020.9357156","url":null,"abstract":"Owning a vehicle has become a mandatory requirement in the modern world. Automobile industry investing a lot on producing different car models to cater the needs of their customers with different social and economic backgrounds. Thus, Auto makers constantly produce similar car models with different features. In Sri lanka, total number of new vehicles registered at Sri Lanka Registry of Motor Vehicles(RMV) during the period of seven years (from 2008 to 2015) has been increased from 265,199 to 668,907 which is nearly 2.5 times growth. This figure shows the rapid growth of the domestic vehicle market. For a new customer, choosing the most appropriate vehicle requires an extra effort/time and has become a challenging task. For example, matching personal interests and economy with number of available options is a quite complex task. Thus, most of the customers seek support from experts who provide consultancy services. However, customers frequently making complains about the existing services which offers consultancy for new vehicle buyers. The key issues are the people involved in the consultancy are not technically sound and pay minimal attention to customer requirements. Their main focus is to sell the vehicle. Thus, the customers face numerous difficulties before and after buying their vehicle. To address this problem, this research presents a novel vehicle recommender system which guides and gives suggestions to the customers using machine learning technologies. Here, we trained a neural network model using data collected from vehicle users and vehicle sellers. Other than the neural network model, the proposed recommendation system uses natural language processing (NLP) to produce more personalized recommendations. The results shows that the recommendations made by the proposed vehicle recommendation system achieves 96 % accuracy in recommending vehicles.","PeriodicalId":253040,"journal":{"name":"2020 2nd International Conference on Advancements in Computing (ICAC)","volume":"89 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":"128591245","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