2022 International Conference on Decision Aid Sciences and Applications (DASA)最新文献_第8页

Post Covid-19 Strategy Through Supporting Teacher Digital Literacy as the Sustainable Decision to Enhance Education System: Indonesia Case Study 通过支持教师数字素养作为加强教育体系的可持续决策的后Covid-19战略:印度尼西亚案例研究

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765309

Indah Wigati, Mia Fithriyah

{"title":"Post Covid-19 Strategy Through Supporting Teacher Digital Literacy as the Sustainable Decision to Enhance Education System: Indonesia Case Study","authors":"Indah Wigati, Mia Fithriyah","doi":"10.1109/DASA54658.2022.9765309","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765309","url":null,"abstract":"For the world of education, including students, instructors, and policymakers for adoption of digital literacy has now become a key concern. Teachers must be aware of the importance of mastering digital literacy in the learning experience. After the Covid-19 epidemic, this research intends to examine educator knowledge of the application of digital literacy in the learning process. The study employs a quantitative descriptive technique to carefully review the types of teacher digital literacy awareness, supportive factors in the usage of digital literacy, and the consequences of tutor computer literacy recognition following the Covid 19 epidemic. The research process was conducted in the Islamic Public Senior High School (MAN) in Palembang, Sumatra. The consistent findings indicated that positive' competence of digital literacy was significant in terms of their capacity to use technology about 100%. The most influential supporting factor correctly is the motivation of friends (97.90%). The implication of using digital literacy for teachers is the execution of virtual meeting learning (94%). The logical conclusion of this study is that teachers develop awareness in utilizing technology, and it is more effortless to convey material after the Covid-19 pandemic. Mastery of digital literacy for teachers needs to be carefully reviewed to the stage of performance and application to students.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123913989","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

Automatic Detection of Brain Tumor from CT and MRI Images using Wireframe model and 3D Alex-Net 基于线框模型和3D Alex-Net的CT和MRI图像自动检测脑肿瘤

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765114

S. Rani, Sandeep Kumar, D. Ghai, K. Prasad

引用次数: 6

COVID-19 pandemic affected on coffee beverage decision and consumers’ behavior 新冠肺炎疫情对咖啡饮料决策和消费者行为的影响

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765074

Akedanai Thubsang, Chanu Thiwongwiang, Chuleeporn Wisetdee, Jutamanee Chompoonuch, Maesaya Anson, Sairin Phalamat, T. Arreeras

{"title":"COVID-19 pandemic affected on coffee beverage decision and consumers’ behavior","authors":"Akedanai Thubsang, Chanu Thiwongwiang, Chuleeporn Wisetdee, Jutamanee Chompoonuch, Maesaya Anson, Sairin Phalamat, T. Arreeras","doi":"10.1109/DASA54658.2022.9765074","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765074","url":null,"abstract":"The objective research was to study the transformation of the coffee consumption behavior of coffee drinkers and factors affecting the coffee consumption behavior before and during the COVID-19 pandemic. Because coffee is a famous beverage among university student groups. Therefore, we want to know the coffee consumption behavior and aspects of coffee drinkers such as the time most people need to consume coffee, the price, and the amount of coffee consumed each day. Both before and during the pandemic. To benefit those who are interested in studying coffee and as a guide for decision making in the business development of coffee shop operators. The sample used in this study is 407 students at the University of Thailand who consume coffee. The questionnaire was used to collect data for surveys of coffee consumption behavior. The study results revealed that consumer behavior has changed in coffee drinking patterns, health effects, and budgets for coffee purchases have decreased. Including the amount of coffee consumed on average per day by consumers, slightly increased from before the pandemic.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130559465","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

Detection of Oral Cavity Squamous Cell Carcinoma from Normal Epithelium of the Oral Cavity using Microscopic Images 口腔鳞状细胞癌在正常口腔上皮中的显微成像

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765023

C. Ukwuoma, Qin Zhiguang, Md Belal Bin Heyat, Haider Mohammed Khan, F. Akhtar, Mahmoud Masadeh, Olusola Bamisile, Omar Alshorman, G. Nneji

{"title":"Detection of Oral Cavity Squamous Cell Carcinoma from Normal Epithelium of the Oral Cavity using Microscopic Images","authors":"C. Ukwuoma, Qin Zhiguang, Md Belal Bin Heyat, Haider Mohammed Khan, F. Akhtar, Mahmoud Masadeh, Olusola Bamisile, Omar Alshorman, G. Nneji","doi":"10.1109/DASA54658.2022.9765023","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765023","url":null,"abstract":"The most common and widely known type of head and neck cancer is the Oral or mouth neoplasm, of which Oral Cavity Squamous Cell Carcinoma (OCSCC) is the most popular. Despite its impact on Mortality, it is always diagnosed at a late stage due to the inefficiency of the screening models at the early detection stage. Early detection of OCSCC has more than 83% survival rate, although the rate of early detection currently is 29%. Partnering with OCSCC early detection, the deep learning model aids in detecting patterns of oral cancer cells. Sequel to that, this paper proposes using ensemble pretrained deep learning models while unifying the ensemble heads with more shared layers for the early detection of OCSCC from microscopic images. Various pre-trained deep learning models are evaluated using transfer learning while using the Augmentor library to establish high-quality microscopic oral cancer image datasets. The proposed approach obtained a 0.1-0.6% improvement compared with transfer learning methods using 100x magnification and 400x magnification, thus illustrating the robustness of the model for low-quality and high-quality images. Noting that the dataset used in this paper is a newly released competition dataset, a comparison was made with only the article that used the same data when writing this paper. The result obtained proves that the proposed methodology is a promising method for detecting and classifying OCSCC.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130840614","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: 6

An IoT-Based Framework to Support Decision Making Process Using Quality Function Deployment 使用质量功能部署支持决策过程的基于物联网的框架

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765314

Venu Parameswaranpillai, A. Al-khazraji

引用次数: 0

Optimal design of a hybrid photovoltaic–wind power system with the national grid using HOMER: A case study in Kerkennah, Tunisia 基于HOMER的国家电网光伏-风力混合发电系统的优化设计:以突尼斯Kerkennah为例

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765310

M. Mallek, Mohamed Ali Elleuch, Jalel Euchi, Yacin Jerbi

{"title":"Optimal design of a hybrid photovoltaic–wind power system with the national grid using HOMER: A case study in Kerkennah, Tunisia","authors":"M. Mallek, Mohamed Ali Elleuch, Jalel Euchi, Yacin Jerbi","doi":"10.1109/DASA54658.2022.9765310","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765310","url":null,"abstract":"Renewable energy is certain to play a key role in future electricity generation due to the rapid depletion of conventional energy. Photovoltaic and wind energy are the major renewable energy sources. However, renewable energies are an inexhaustible, expensive, and unpredictable source of energy. An alternative solution is to combine one or more renewable energy with other conventional energy. In recent years, the research interest towards the utilization of hybrid energy systems in desalination plants. This paper aims to optimize several hybrid energy system models consisting of photovoltaic, wind, and the national grid in desalination plant in Tunisia. Optimization is based on the techno-economic analysis of the proposed energy system is performed by using HOMER simulation software. The simulation will be focused on the net present costs, Levelized cost of energy, produced excess electricity, the Renewable Fraction of Energy, and the reduction of CO2emission for the hybrid energy configurations. Results show that the system photovoltaic, wind, and the national grid is the best energy system installed in the desalination plant.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127069961","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: 7

The Competence Development of Community Based Tourism Communities in Chiang Rai for MICE Travelers 清莱社区旅游社区对会展游客的胜任力开发

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765078

Sarutanan Sopanik

引用次数: 0

Pilot Sequence-based Channel Estimation in Massive MIMO wireless communication networks under strong Pilot Contamination 基于导频序列的大规模MIMO无线通信网络强导频污染信道估计

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765195

Jamal Amadid, Zakaria El Ouadi, L. Wakrim, Asma Khabba, A. Zeroual

{"title":"Pilot Sequence-based Channel Estimation in Massive MIMO wireless communication networks under strong Pilot Contamination","authors":"Jamal Amadid, Zakaria El Ouadi, L. Wakrim, Asma Khabba, A. Zeroual","doi":"10.1109/DASA54658.2022.9765195","DOIUrl":"https://doi.org/10.1109/DASA54658.2022.9765195","url":null,"abstract":"This work provides a straightforward channel estimator to overcome an unrealistic property provided by Minimum Mean Square Error Estimator (MMSEE) for Multi-Cell (MC) Massive Multiple-Input Multiple-Output (M-MIMO) systems operating under Time-Division Duplex (TDD) protocol. Besides, this work is in purpose to study and analyze the current ideal Least-Squares Estimator (LSE), the current ideal MMSEE, and the Maximum Likelihood Estimator (MLE) under various circumstances and considering under Pilot Contamination (PC) problems. This work compared and evaluate the performance of the studied estimators using the metric Mean Square Error (MSE). The traditional LSE provides the worst performance under a high interference level since it is considerably affected by PC. In spite of the greater accuracy achieved by MMSEE in many studies in the literature. However, the MMSEE is relying on an unrealistic assumption, which can be explained by the complete knowledge of among cell large-scale fading (LSF) coefficients as an unrealistic hypothesis in practical use. The suggested estimator (i.e., the MLE) is introduced to overcome the unusable property on which the MMSEE is based. Besides, the MLE is introduced to provides higher performance than LSE. Furthermore, we investigate a scenario of LSF coefficient (i.e., a LSF depends on the distance at which the user is located from its serving Base Station (BS)), wherewith we assert our analysis. An analytical, simulated, and approximated, results are provided for MLE to affirm our study, whereas analytical and simulated results are given for both LSE and MMSEE to assert the presented theoretical expressions.","PeriodicalId":231066,"journal":{"name":"2022 International Conference on Decision Aid Sciences and Applications (DASA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127726764","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

Bahdanau Attention Based Bengali Image Caption Generation 基于Bahdanau注意的孟加拉语图像标题生成

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765268

M. M. Alam, M. Rahman, M. Hosen, Khairul Anam Mubin, S. Hossen, M. F. Mridha

引用次数: 0

Identification of Parasitized Single Cell from Normal Using Deep Learning Approach 利用深度学习方法识别被寄生单细胞与正常细胞

2022 International Conference on Decision Aid Sciences and Applications (DASA) Pub Date : 2022-03-23 DOI: 10.1109/DASA54658.2022.9765258

Von Cedrick M. Calderon, Jeffrey S. Sarmiento, Christopher Franco Cunanan, Carla May C. Ceribo, Gemma D. Belga

引用次数: 0