2020 International Conference on Decision Aid Sciences and Application (DASA)最新文献_第3页

A Low cost Augmented Reality system for Wide Area Indoor Navigation 面向广域室内导航的低成本增强现实系统

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317014

Vivek Dosaya, Shashwat Varshney, Vijaya Kumar Parameshwarappa, Akshay Beniwal, Shraddha Tak

{"title":"A Low cost Augmented Reality system for Wide Area Indoor Navigation","authors":"Vivek Dosaya, Shashwat Varshney, Vijaya Kumar Parameshwarappa, Akshay Beniwal, Shraddha Tak","doi":"10.1109/DASA51403.2020.9317014","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317014","url":null,"abstract":"In today's world, there are a lot of outdoor navigation apps for visually challenged people, but there are none that can precisely tell a user's location inside a large structure. Indoor navigation is a complex task for the visually challenged as well as for the general public, especially in large structures like malls, airports, museums, factories, etc. Present solutions and technologies are not cost-effective as well as complex. Hence, we are proposing a low-cost model that uses Augmented Reality to place virtual anchors across a structure, so a person can navigate from one location to another with the help of these anchors. The model doesn't use technologies like GPS. Machine Learning, and Artificial Intelligence but here, the anchors placed are pervasive and persistent across the indoor environment for smooth navigation. Once placed, these virtual anchors remain at their location and can be used at any time by any person registered on our app. This model can be extended for the general public in any indoor space and also can be enhanced by gamification for better user interaction and retention. This model can also be extended to collaborate with the Aarogya Setu app, which can help us identify routes that go through spaces through which covid positive patients have passed which in turn helps us avoid those routes in real-time navigation.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134198166","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

A Performance Analysis of Deep Convolutional Neural Networks using Kuzushiji Character Recognition 基于Kuzushiji字符识别的深度卷积神经网络性能分析

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317188

Harshil S. Shah, V. Manjula

{"title":"A Performance Analysis of Deep Convolutional Neural Networks using Kuzushiji Character Recognition","authors":"Harshil S. Shah, V. Manjula","doi":"10.1109/DASA51403.2020.9317188","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317188","url":null,"abstract":"The recent increase in computational power and data available to the general public has given rise to the development of a plethora of highly performant deep neural network architectures. A popular and successful application of these has been in the field of image recognition, in which many yield promising results. Yet, there are differences and caveats in each, and knowing the right one to choose for a particular task can save a lot of money, time, and computational resources. In order to take a closer look at the differences in their performance, we have compared 5 of the many top architectures, namely the VGG16, VGG19, DenseNet121, ResNet50, and ResNet152V2 in terms of their error percentage, class-balanced error percentage, standard deviation of class-balanced accuracy, and training time. To achieve this, we have used 2 datasets, the Kuzushiji MNIST or KMNIST dataset, which is a balanced dataset with 10 classes and the Kuzushiji 49 or K49 dataset, an imbalanced dataset with 49 classes, both of which comprise cursive characters from the Japanese Hiragana script. All of the results were computed and verified using 10 fold cross validation. For the Kuzushiji MNIST dataset, the VGG16 showed the best results in all of the aspects. For the Kuzushiji 49 dataset, the DenseNet121 showed the highest performance in all aspects other than training time, and the latter was least for the VGG16.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130765090","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

Value-Based Adoption Model on E-Wallet in Malaysia: A Conceptual Paper 马来西亚电子钱包基于价值的采用模型:一篇概念性论文

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317251

C. Ling, Poh-Chuin Teo, T. Ho, Ling Suan Choo

{"title":"Value-Based Adoption Model on E-Wallet in Malaysia: A Conceptual Paper","authors":"C. Ling, Poh-Chuin Teo, T. Ho, Ling Suan Choo","doi":"10.1109/DASA51403.2020.9317251","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317251","url":null,"abstract":"In the current modern era of accelerated technological progression, e-wallet services are budding rapidly on a global scale and Malaysia swiftly moving towards a cashless society. This conceptual paper aims to shed lights to the body of knowledge and market practitioners by examining the determinants of perceived value and adoption intention, grounded by Value-based Adoption Model. It is believed that the findings of this research will shed lights into important issues related to consumers' adoption intention towards e-wallet in Malaysia that has not been focused by previous studies. From the theoretical point of view, this research will expand the understanding on the factors that affecting new technology adoption from the perspective of consumers. From the managerial implication perspective, e-wallet service providers should create an impression of desirable benefits if a positive impacts of perceived benefits is found. To be precise, higher perceived value indicates higher intention to adopt e-wallet, which indicates that the adoption intention is not only triggered by extrinsic benefits, but also the intrinsic results of using e-wallet. Hence, market practitioners should conduct market research regularly in order to observe consumer needs and wants and improve the products and services to meet consumers' expectations.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130865810","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

Decision Aid in Budgeting Systems for Small & Medium Enterprises 中小企业预算系统的决策辅助

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317018

Mahani Hamdan, Chin Kang Chen, M. Anshari

{"title":"Decision Aid in Budgeting Systems for Small & Medium Enterprises","authors":"Mahani Hamdan, Chin Kang Chen, M. Anshari","doi":"10.1109/DASA51403.2020.9317018","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317018","url":null,"abstract":"The practice of budgeting in Small & Medium Enterprises (SMEs) had been investigated in this study using exploratory research. Two research methods, a survey, and interviews were employed to answer the following objectives. What methods and types of budgeting do SMEs use? How the budgeting is carried out in the SMEs? The question of why do they adopt budgeting further taps on the underlying reasons for the lack of a comprehensive budgeting system and no budget adoption at all. The study presented four important findings. Incremental budgeting was identified as the common method and cash budget as the primary type of budgeting. The budgeting process was generally based on a traditional budgeting a command and control management model, where the budget was centralised and relied on bureaucratic control with a rigid hierarchy for allocation of funds and resources. Goal-setting, resource dependencies, and cognitive evaluation theoretical perspectives play a greater role in explaining the budget practice and the lack of budget adoption in SMEs. The study pointed to the SMEs and relevant agencies to give more attention to training and skills development, technological support, and the attitudinal and behavioural aspects in budgeting for the active use of budgeting in doing business.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131078451","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

Intelligent processes in the context of Mining 4.0: Trends, research challenges and opportunities 采矿4.0背景下的智能流程:趋势、研究挑战和机遇

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317095

A. Faz-Mendoza, N. Gamboa-Rosales, C. Medina-Rodríguez, M. A. Casas-Valadez, A. Castorena-Robles, J. López-robles

{"title":"Intelligent processes in the context of Mining 4.0: Trends, research challenges and opportunities","authors":"A. Faz-Mendoza, N. Gamboa-Rosales, C. Medina-Rodríguez, M. A. Casas-Valadez, A. Castorena-Robles, J. López-robles","doi":"10.1109/DASA51403.2020.9317095","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317095","url":null,"abstract":"Industry 4.0 is a frontier topic of knowledge and is inserted into the innovation ecosystem thanks to the inclusion of information and communication technologies, supported by the cyber-physical systems and internet of things applied to industrial processes. The 4th Industrial Revolution describes the set of continuous transformations in the systems that surround us, it is also known as industry 4.0 and in the last five years, it has become a primary issue in the industrial economy. Industry 4.0 makes possible high potential scenarios in the industry, allows the disruption of a new industrial model. The convergence of new technologies transform sectors and markets, and the digitization of companies represents a radical change in the way of doing business. Mining is one of the sectors that have been supported with technologies associated with industry 4.0; these technologies have promoted the conditions for making strategic decisions using intelligent processes whose objectives are the digitization of the mining process and consolidation of the competitive position in the sector. This article links the concept of Industry 4.0 with that of Mining 4.0, it focuses on the discussion of trends, challenges, opportunities and technologies that the mining sector requires to successfully face them.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127052862","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

A Practical Scheduling Optimizer for Plastic Injection Molding Facilities 一种实用的注塑设备调度优化方法

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317084

G. Ayad, I. Fahim

引用次数: 1

A Sentiment Analysis Study on Recognition of Facial Expressions: Gauss and Canny Methods 面部表情识别的情感分析研究:高斯和Canny方法

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317234

Aynur Sevinç, Buket Kaya, Ayten Geçmez

{"title":"A Sentiment Analysis Study on Recognition of Facial Expressions: Gauss and Canny Methods","authors":"Aynur Sevinç, Buket Kaya, Ayten Geçmez","doi":"10.1109/DASA51403.2020.9317234","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317234","url":null,"abstract":"Human-computer interaction has been the focus of today's current researches. Human-computer interaction is accepted as a multidisciplinary field that takes place through interfaces. These interfaces can sometimes be software functions, or sometimes they can be interact provided with hardware components. Facial expressions give information about people's emotions play an important role in sentiment recognition. Today, facial expressions are used in many fields such as education, psychological studies, virtual reality, robotics, facial animation, health and law, and the need for analysis of facial expressions in many areas is increasing. In addition, the analysis of human facial expressions with computers is a remarkable research area, but it is considered a challenging problem. In this context, it is necessary to analyze facial expressions accurately and quickly by software. In this study, sentiment recognition from facial expressions (sad, happy, scared, confused) was performed using 50 different images obtained from various databases and internet sources. With digital image processing techniques, improved images can be obtained and feature extraction can be made. In this research, digital image processing functions and MATLAB programming language of MATLAB 2018 program, which provides advanced programming for scientific studies, were used. Image noise was removed with the Gauss filter, and edge detection operations were performed with the Canny method. Geometric ratios were used to eliminate errors. As a result of the study, it was determined that sentiment recognition procedures performed on images with similar facial expressions made incorrect sentiment classification. However, it has been observed that face recognition with MATLAB functions and MATLAB programming has generally produced successful results.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"298 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124279254","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

Prediction Model for Type 2 Diabetes using Stacked Ensemble Classifiers 基于堆叠集成分类器的2型糖尿病预测模型

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317090

Norma Latif Fitriyani, Muhammad Syafrudin, Ganjar Alfian, A. Fatwanto, Syifa Latif Qolbiyani, J. Rhee

{"title":"Prediction Model for Type 2 Diabetes using Stacked Ensemble Classifiers","authors":"Norma Latif Fitriyani, Muhammad Syafrudin, Ganjar Alfian, A. Fatwanto, Syifa Latif Qolbiyani, J. Rhee","doi":"10.1109/DASA51403.2020.9317090","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317090","url":null,"abstract":"Diabetes is the number one of major causes of death globally. Undetected and untreated diabetes causes serious issues and the individuals with diabetes are at high risk for complication. Thus, an early diabetes prediction is necessary to help the individuals preventing dangerous conditions at the early stage. This study proposed a prediction model to offer early prognostication of type 2 diabetes. The proposed model incorporates isolation forest and synthetic minority oversampling-tomek link technique to detect as well as remove the outlier data, and balance the data distribution, respectively. The stacked ensemble classifiers are the used learn and predict type 2 diabetes at an early stage. We used three publicly available datasets to evaluate the performance of proposed model as compared to other models such as multi-layer perceptron, support vector machines, decision tree, and logistic regression. We applied 10-fold cross-validation and obtain four performance metrics such precision, recall, f-measure, and accuracy. The experimental results show that the proposed model outperformed other models, achieving accuracy up to 93.18%, 98.87%, and 96.09% for dataset I, II, and III, respectively. It is expected that the early diabetes prediction could help the individuals on taking precautions once type 2 diabetes is detected.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114494536","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

Talent Optimization in Faculty Recruitment in the Post-COVID-19 Era 后新冠肺炎时代教师招聘中的人才优化

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317107

Sumaya Al-Abbasi, Hatem Masri

引用次数: 0

An Approach to Automatically Measure and Visualize Class Cohesion in Object-Oriented Systems 面向对象系统中类内聚的自动度量和可视化方法

2020 International Conference on Decision Aid Sciences and Application (DASA) Pub Date : 2020-11-08 DOI: 10.1109/DASA51403.2020.9317140

A. Yusuf, M. Hammad

{"title":"An Approach to Automatically Measure and Visualize Class Cohesion in Object-Oriented Systems","authors":"A. Yusuf, M. Hammad","doi":"10.1109/DASA51403.2020.9317140","DOIUrl":"https://doi.org/10.1109/DASA51403.2020.9317140","url":null,"abstract":"Developing systems with high quality is the motto of software engineering. In object-oriented systems, class cohesion is a significant quality attribute that impacts other quality attributes such as maintainability and reusability. Much time and effort are needed to be spent by the software engineers and developers in order to measure cohesion. Measuring cohesion automatically aids in getting over the manual measurement problem. In this paper, we propose an approach to automatically measure and visualize the cohesion within classes of object-oriented programs. The generated representations give an overall realization of the cohesion in an effective and interactive way. The approach parses the program source code, using an existing tool, into an XML file, and extracts the class tokens according to the definitions of the cohesion metrics. Then, it determines the cohesion relationships through matching these tokens with some class features. Finally, it generates interactive visualizations of the cohesion utilizing several charts. The proposed approach has been validated by conducting a case study. The results showed that the generated visualizations provide a comprehensive recognition of the program cohesion, and facilitate a proper estimation of the software quality based on its cohesion degree.","PeriodicalId":106950,"journal":{"name":"2020 International Conference on Decision Aid Sciences and Application (DASA)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120868795","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