2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)最新文献_第10页

Towards the Prediction of the Mechanical Properties of a Green Polymer Bioloaded with Alfa Fibers Using a Deep Neural Network Model 基于深度神经网络模型的阿尔法纤维生物负载绿色聚合物力学性能预测

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738151

A. Moumen, K. Mansouri

{"title":"Towards the Prediction of the Mechanical Properties of a Green Polymer Bioloaded with Alfa Fibers Using a Deep Neural Network Model","authors":"A. Moumen, K. Mansouri","doi":"10.1109/IRASET52964.2022.9738151","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9738151","url":null,"abstract":"The investigation of micromechanical properties of bio composites has emerged as a focus of current scientific inquiry. The use of this type of research is due to the ecological, environmental, and long-term development benefits that these bio composites provide. In addition to their economic benefits in meeting industrial constraints. The matrix used in this intelligent study is green epoxy, which is one of the most commonly used polymers in the current industry due to its low cost, availability, and interesting thermomechanical properties, and which has applications in transportation, infrastructure, packaging, home applications, and the automotive industry, among others. The bio load used is Alpfa fibers, which have been largely overlooked by researchers in the field of bio composites. Bio loading with Alfa fibers enhance the mechanical properties of the green epoxy matrix, according to the findings. When compared to the experimental results, the neural network model predicted the Young modulus of the bio composite with high accuracy. The best results obtained in the test phase demonstrate that NNs are capable of generalizing the complicated link between the input and output set of data learned during the training phase, allowing us to create an efficient predictive model for elasiycity of biocomposite.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126787026","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

An Analysis of Students' Stress Factor and Expectation of Online Learning A Corpus Approach 基于语料库的学生在线学习压力因素与期望分析

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737744

Elisabeth Marsella, Vinindita Citrayasa

引用次数: 0

Modeling and simulation of a solar cell based on CIGS/CdS/ZnO 基于CIGS/CdS/ZnO的太阳能电池建模与仿真

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737875

O. Bajjou, M. Al-Hattab, Abdelhafid Najim, Lhouceine Moulaoui, A. Bakour, K. Rahmani

引用次数: 0

Assessment of Scientific Learning Skills Based on Artificial Intelligence 基于人工智能的科学学习技能评估

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738044

Okacha Diyer, N. Achtaich, Khalid Najib

{"title":"Assessment of Scientific Learning Skills Based on Artificial Intelligence","authors":"Okacha Diyer, N. Achtaich, Khalid Najib","doi":"10.1109/IRASET52964.2022.9738044","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9738044","url":null,"abstract":"The importance of taking an interest in improving scientific skills is to equip learners with the attitudes of reflection and behavior in the face of the different pedagogical situations that may arise. Considering the different information resources and the existing advanced technological means, these scientific skills will offer learners a kind of learning autonomy. In this sense, we are interested in proposing an evaluation process for scientific skills, namely: $C_{1}$: Appropriate, $C_{2}$: Analyze and reason, $C_{3}$: Realize, $C_{4}$: Validate and $C_{5}$: Communicate, using artificial intelligence based on the decision tree. This allows the teacher to monitor the scientific skills assessment of his students and to establish a progress report of their scientific skills evolution. The essential objective is to achieve a regularization of scientific skills in order to meet the needs of learners. In fact, this research offers an intelligent strategy that helps the teacher to predict the level of scientific skills acquisition of his students in order to make the right decisions at the appropriate time. This allows a dynamic assessment of the scientific skills to be transmitted and a progression of the learning operation which allows equity between the learners according to their learning capacity.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123521378","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

State of the art of mobile terminal management in African countries 非洲国家移动终端管理技术现状

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738422

W. Ndiaye, I. Diop, S. Ndiaye, Sidy Mohamed Farssi

引用次数: 0

Multi-Objective Model for The Selection of The Optimal Solid Waste Transfer Station Locations and for The Identification of The Optimal Transport Scenario 固体废物中转站最优选址及最优运输方案识别的多目标模型

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737904

Otman Ait Ihia, D. Khomsi

引用次数: 0

Consideration of behavioral models accuracy in the evaluation of a solar collector support performance during embodiment phase 在实施阶段对太阳能集热器支撑性能评估中行为模型准确性的考虑

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737745

Houda Bouyarmane, Mehdi El amine, M. Sallaou

{"title":"Consideration of behavioral models accuracy in the evaluation of a solar collector support performance during embodiment phase","authors":"Houda Bouyarmane, Mehdi El amine, M. Sallaou","doi":"10.1109/IRASET52964.2022.9737745","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9737745","url":null,"abstract":"The design process has certain constraints that negatively influence the designer's final decision-making. These decisions, which are mostly taken during the preliminary phases of the process, have a considerable impact on the development of products throughout their life cycle. Actually, the accuracy and imprecision of the results obtained is one of the major problems of this phase. To this end, we propose through this work an approach which aims to evaluate particularly the accuracy of the behavior models used for the exploration of design solutions during the embodiment phase and this based on two types of evaluation.: the first evaluation corresponds to an objective evaluation which allows to evaluate the behavior models accuracy comparing to a reference solution, and the second evaluation consists in integrating the designer's experiences in the process of evaluation of these models, the combination of these two types of indicators will allow us to have at the end an overall accuracy indicator of these models. In order to highlight our approach, we applied it on a solar reflector support “tube concept”.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129652546","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

Operating rooms scheduling using Variable Neighborhood Search meta-heuristic

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738371

Maha Toub, S. Achchab, Omar Souissi

引用次数: 1

Detailed classification of FDM (Fused Deposition Modeling) process parameters and potentially affected Part characteristics FDM(熔融沉积建模)工艺参数和潜在影响部件特性的详细分类

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738432

Khaoula Ouazzani, Mostapha E. L. Jai, Benaissa Elfahime

引用次数: 1

Comparative study of YOLOv3 and YOLOv5's performances for real-time person detection YOLOv3和YOLOv5在实时人物检测中的性能对比研究

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737924

Aicha Khalfaoui, A. Badri, Ilham El Mourabit

引用次数: 8