2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)最新文献_第2页

Forecasting foreign exchange rate: Use of FbProphet 预测外汇汇率:FbProphet的使用

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568284

Fanoon Raheem, Nihla Iqbal

引用次数: 3

Framework to mitigate supply chain disruptions in the apparel industry during an epidemic outbreak 在流行病爆发期间减轻服装行业供应链中断的框架

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568286

M. Perera, A. Wijayanayake, S. Peter

引用次数: 1

Autism spectrum disorder diagnosis support model using Inception V3 使用Inception V3的自闭症谱系障碍诊断支持模型

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568314

Lakmini Herath, D. Meedeniya, M. A. J. C. Marasingha, V. Weerasinghe

引用次数: 2

Model to optimize the quantities of delivery products prioritizing the sustainability performance 模型优化交付产品的数量，优先考虑可持续性绩效

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568360

A. P. K. J. Prabodhika, D. Niwunhella, A. Wijayanayake

{"title":"Model to optimize the quantities of delivery products prioritizing the sustainability performance","authors":"A. P. K. J. Prabodhika, D. Niwunhella, A. Wijayanayake","doi":"10.1109/scse53661.2021.9568360","DOIUrl":"https://doi.org/10.1109/scse53661.2021.9568360","url":null,"abstract":"Many manufacturers and retailers often outsource their logistics functions to Logistics Service Providers (LSPs) to focus more on their core business process. Due to the competitiveness and the popularity of the sustainability concept, those organizations evaluate their prospective LSPs not only based on economic aspects like cost, service quality but also on social and environmental aspects as well when selecting LSPs. This paper proposes a methodology that can be used by organizations when evaluating and selecting LSPs based on their sustainability performance. Analytic Network Process (ANP) is used in evaluating the LSPs' sustainable performance since multiple dimensions and indicators need to be incorporated when measuring the sustainability performance. A Linear Programming Problem (LPP) model was proposed which allows the organizations to decide both desired number of LSPs and the volume to be allocated for those selected LSPs. The proposed methodology is flexible as it depends on the sustain ability requirements of the organization when selecting LSPs. Both the indicators and their relative importance are up to the organization to decide.","PeriodicalId":319650,"journal":{"name":"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130767920","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

Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review 大流行期间快速消费品公司弹性供应链的决策模型:系统文献综述

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568303

B. Madhavi, Ruwan Wickramarachchi

{"title":"Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review","authors":"B. Madhavi, Ruwan Wickramarachchi","doi":"10.1109/scse53661.2021.9568303","DOIUrl":"https://doi.org/10.1109/scse53661.2021.9568303","url":null,"abstract":"Decision-making during a crisis impacts the performance of an entire organization. Due to the COVID-19 pandemic, many organizations had undergone supply chain disruptions due to the forward and backward propagation of disruptions in the global supply chain networks, implying the importance of building up resilience in the supply chain networks. This study intends to systematically review the existing literature to determine the impact of optimal decision-making during crises to build up supply chain resilience. The paper has focused on the need for evaluating the impact of the COVID-19 pandemic on the FMCG industry and how supply chain resilience would improve in performance during such crises. The study also assessed the existing decision support systems for resilience in a supply chain network and their applicability during a crisis. Some of these models could be used to facilitate decision-making during an epidemic as well. Precisely determining resilience factors affected during an unexpected circumstance would enhance the value of the decision support system in use. Furthermore, it was concluded that the use of quantitative models should be further investigated, as most published work focuses on the conceptualization of a restricted number of resilience factors instead of the development of integrated, comprehensive approaches.","PeriodicalId":319650,"journal":{"name":"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124331799","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

Technology-enabled online aggregated market for smallholder farmers to obtain enhanced farm-gate prices 技术支持的在线综合市场使小农获得更高的农场价格

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568292

Malni Kumarathunga, R. Calheiros, A. Ginige

引用次数: 4

Automatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4) 使用“你只看一次”版本4 (YOLOv4)自动检测和识别道路交通标志

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568285

W. H. D. Fernando, S. Sotheeswaran

{"title":"Automatic road traffic signs detection and recognition using ‘You Only Look Once’ version 4 (YOLOv4)","authors":"W. H. D. Fernando, S. Sotheeswaran","doi":"10.1109/scse53661.2021.9568285","DOIUrl":"https://doi.org/10.1109/scse53661.2021.9568285","url":null,"abstract":"This paper presents an approach to detect traffic signs using You Only Look Once version 4 (YOLOv4) model. The traffic sign detection and recognition system (TSDR) play an essential role in the intelligent transportation system (ITS). TSDR can be utilized for driver assistance and, eventually, driverless cars to reduce accidents. When driving an automobile, the driver's attention is usually drawn to the road. On the other hand, most traffic signs are situated on the side of the road, which may have contributed to the collision. TSDR allows drivers to view traffic sign information without having to divert their attention. Due to the existence of a large background, clutter, fluctuating degrees of illumination, varying sizes of traffic signs, and changing weather conditions, TSDR is an important but difficult process in intelligent transport systems. Many efforts have been made to find answers to the major issues that they face. The objective of this study addresses road traffic sign detection and recognition using a technique that initially detects the bounding box of a traffic sign. Then the detected traffic sign will be recognized for usage in a speeded-up process. Since safe driving necessitates real-time traffic sign detection, the YOLOv4 network was employed in this research. YOLOv4 was evaluated on our dataset, which consisted of manual annotations to identify 43 distinctive traffic signs classes. It was able to achieve an average recognition accuracy of 84.7%. Overall, the work adds by presenting a basic yet effective model for real-time detection and recognition of traffic signs.","PeriodicalId":319650,"journal":{"name":"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129203953","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

Challenges for adopting DevOps in information technology projects 在信息技术项目中采用DevOps的挑战

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568348

J. Jayakody, W. Wijayanayake

{"title":"Challenges for adopting DevOps in information technology projects","authors":"J. Jayakody, W. Wijayanayake","doi":"10.1109/scse53661.2021.9568348","DOIUrl":"https://doi.org/10.1109/scse53661.2021.9568348","url":null,"abstract":"An Information Technology (IT) project deals with IT infrastructure, information systems, or computers for delivering an IT product within a temporary period. Proper application of software development methodologies assists software designers to run IT projects to the success of achieving the satisfaction of project stakeholders. Because of the issues raised by traditional software development methodologies such as the Waterfall model, the IT industry began to employ Agile methodology for IT project management. However, due to the separation of software development and operation teams, Agile methodology also caused problems. DevOps is a new approach adapted to the Agile methodology that collaborates the software development and operation teams in order to provide continuous development of high-quality software in a short period of time. However, there are practical issues reported since DevOps approach is still in its infancy in the IT industry. The purpose of this research is to analyze the use of the DevOps concept in IT Projects by evaluating the challenges and mitigating strategies practiced by software development firms in order to ensure the success of IT projects. This purpose was achieved by performing a literature study and soliciting recommendations from industry professionals using a questionnaire survey. The findings reveal the critical challenges and prioritization of challenges experienced by software firms while adopting DevOps, as well as their practices for overcoming those challenges. The research findings will help IT project development teams and future researchers to develop strategies for making the success of DevOps adoption with Agile methodology in the IT industry.","PeriodicalId":319650,"journal":{"name":"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129179356","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

LYZGen: A mechanism to generate leads from Generation Y and Z by analysing web and social media data LYZGen:通过分析网络和社交媒体数据，为Y世代和Z世代创造潜在客户的机制

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568333

J. M. D. Senanayake, Nadeeka Pathirana

{"title":"LYZGen: A mechanism to generate leads from Generation Y and Z by analysing web and social media data","authors":"J. M. D. Senanayake, Nadeeka Pathirana","doi":"10.1109/scse53661.2021.9568333","DOIUrl":"https://doi.org/10.1109/scse53661.2021.9568333","url":null,"abstract":"Identifying an appropriate target audience is essential to market a product or a service. A proper mechanism should be followed to generate these potential leads and target audiences. The majority of people who were born between 1981 and 2012 hold top positions in companies. These people are regular social media and website users, since they represent generations Y and Z. They usually keep digital footprints. Therefore, if an accurate method is followed, it is possible to identify potential contact points by analysing publicly available data. In this research, a novel lead generation mechanism based on analysing social media and web data has been proposed and named L YZGen (Leads of $Y$ and $Z$ Generations). The input to the L YZGen model was an optimised search query based on the user requirement. The model used web crawling, named entity recognition (NER), and pattern identification. The model found and analysed freely available data from social media and other websites. Initially, person name identification was performed. An extensive search was carried out to retrieve peoples' contact points such as email addresses, contact numbers, designations, based on the identified names. Cross verification of the analysed details was conducted as the next step. The results generator provided the final output, which contained the leads and details. Generated details were verified with responses captured via a survey and identified that the model could detect lead details with 87.3 % average accuracy. The model used only the open data posted on the internet by the people. Therefore, it did not violate extensive privacy or security concerns. The generated results can be used, in several ways, including communicating promotional details to the potential target audience.","PeriodicalId":319650,"journal":{"name":"2021 International Research Conference on Smart Computing and Systems Engineering (SCSE)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116890170","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

Keynote Speech: Learning to Personalise Human Activity Recognition 主题演讲:学习个性化人类活动识别

2021 International Research Conference on Smart Computing and Systems Engineering (SCSE) Pub Date : 2021-09-16 DOI: 10.1109/scse53661.2021.9568365

N. Wiratunga

引用次数: 0