2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)最新文献_第5页

Torque Control of Switched Reluctance Motor Using ANN-PID Controller 基于ANN-PID控制器的开关磁阻电机转矩控制

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737974

A. Ouannou, A. Brouri, H. Oubouaddi, L. Kadi

引用次数: 2

Improvement of facial attributes' estimation using Transfer Learning 基于迁移学习的人脸属性估计改进

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737845

Mohammed Berrahal, M. Azizi

{"title":"Improvement of facial attributes' estimation using Transfer Learning","authors":"Mohammed Berrahal, M. Azizi","doi":"10.1109/IRASET52964.2022.9737845","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9737845","url":null,"abstract":"Nowadays, we are experiencing the emergence of intelligent applications, capable of recognizing a human face by using shape, gender, face attributes or even emotions. Those application are deployed in numerous real-world sites, like facial recognition systems, Law enforcement applications or security purposes. For these reasons, we propose to improve available facial attributes' estimation in the main model, by adding other attributes, such as (medical-mask or face cover, head scarf, tattoo) and using transfer learning (TL). To do this end, using TL one stage, we suggest retraining the main model on new attributes all at once, and using TL multistage training, where we employ a TL network for each attribute. The main model is trained on the CelebA dataset with 40 attributes using a CNN model, while for the aforementioned three attributes, we use our constructed dataset. The obtained results show that the second method outruns the first in terms of metrics, but the first one is better in prediction rates, especially for the attributes of the main model, this is a problem caused by many TL networks losing data.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"32 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":"131112444","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

Distribution System Analysis of Off-grid Distribution System by Graphical User Interface Development using QGIS and the Synergi Electric 基于QGIS和Synergi Electric图形用户界面开发的离网配电系统分析

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737882

Ralph Jay R. Freyra, R. Santiago

引用次数: 0

GL-LSTM Model For Multi-label Text Classification Of Cardiovascular Disease Reports 用于心血管疾病报告多标签文本分类的GL-LSTM模型

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738147

R. Chaib, Nabiha Azizi, N. Hammami, Ibtissem Gasmi, D. Schwab, Amira Chaib

{"title":"GL-LSTM Model For Multi-label Text Classification Of Cardiovascular Disease Reports","authors":"R. Chaib, Nabiha Azizi, N. Hammami, Ibtissem Gasmi, D. Schwab, Amira Chaib","doi":"10.1109/IRASET52964.2022.9738147","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9738147","url":null,"abstract":"In recent years, the rapid growth of electronic data and information has gotten a lot of attention to find relevant knowledge such as textual information. The goal of automatic text classification is to automatically predict textual articles classes, especially in the medical domain. However, for some applications, the used data must inherently be described by more than one label. In this research, a new scheme of medical multi-label text classification is investigated which is based on intelligent engineering features using GloVe technique and LSTM classifier. The main particularity of GloVe permits the extraction of informative features to the word level automatically and capture the global and local textual semantics. The choice of the LSTM model is motivated by the success that has been achieved by taking into account the very long-term dependencies between words. The experiment of our approach named GL-LSTM based on Ohsumed cardiovascular text dataset has produced impressive results with an overall accuracy of 0.927 compared with related works existing in the literature","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":" 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120831253","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

The individual determinants of Financial Inclusion in Morocco: An Exploratory Study in the case of a credit application 摩洛哥金融包容性的个人决定因素:一项信贷申请案例的探索性研究

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738052

Jouilil Youness

{"title":"The individual determinants of Financial Inclusion in Morocco: An Exploratory Study in the case of a credit application","authors":"Jouilil Youness","doi":"10.1109/IRASET52964.2022.9738052","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9738052","url":null,"abstract":"This work aims to study the microeconomic factors that influence financial inclusion in Morocco. It is an empirical illustration, in which, we try to highlight the financial inclusion of households and to know if Morocco is an under-banked country through a detailed tracing of the profile of household credit applicants. To achieve this goal, we will adopt the deductive approach. This method consists in constructing from the existing theoretical and empirical answers on the phenomena and confronting them with the reality of the field by using an empirical investigation. Drawing on the previous studies conducted on the same issue, in particular, the work of Honohan, P., and King, M. (2009), Clamara, N. et al. (2014), Tuesta D. et al. (2015) or Demirguç- Kunt et al. (2018), we will assume that the decision to take credit is strongly related to the observable characteristics of the individual. Thus, the results of our study corroborate those obtained from previous empirical work. Indeed, we find from the adopted model that financial inclusion in Morocco, as the case in emerging economies, remains highly correlated with the income (approached by the social class variable) and the educational level of the individual and less related to gender and age. In this respect, the more the person's level increases the more the probability of being included financially increases, but not necessarily with the same proportion. However, despite the efforts made to reduce the causes of financial exclusion, access to finance remains the major challenge of economic agents. This limit of access could be explained, on the one hand, due to the lack of guarantees, which do not allow indigent people to subscribe a credit with the banking institutions, and on the other hand, among these, some refuse to resort to this mode of financing since they do not coincide with their ethical convictions.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"7 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":"121171656","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

Data breach Analysis for Financial Smart Contracts 金融智能合约的数据泄露分析

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737966

M. Laarabi, Badreeddine Chegri, A. Maach

{"title":"Data breach Analysis for Financial Smart Contracts","authors":"M. Laarabi, Badreeddine Chegri, A. Maach","doi":"10.1109/IRASET52964.2022.9737966","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9737966","url":null,"abstract":"In the same way that personal data provide irrefutable information about individuals, they sometimes reveal the legal identity of contracts as well as other specific information. The data a contract generates could represent a competitive advantage. This study's focus was to develop a template of the factors associated with smart contracts data breaches. This model was based on the following variables: smart contracts, exposure level, security level, and structural inputs. The outcome variable was the binary value for a data breach/no data breach. This study covers more than 6000 smart contracts, operating on Etheurm and imported as tables into the study database, the contracts have been selected randomly from the databases of various safety tools such as OYENTE, MAIAN, GASPER, Securify, Solcove, and SmartCheck, These tools are designed to find code vulnerabilities in the smart contracts. 50% of all samples were selected from one source (Securify). Binary logistic regression was employed to examine the data breach model. The findings demonstrate more than 500 cases of actual breaches, with several factors being significantly associated with smart contract data breaches.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"84 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":"125433901","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

Around the parameters of primitive BCH codes 围绕原始BCH码的参数

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9737805

El Mahdi Mouloua, Najmeddine Mustapha, Ouaazou Hassan

引用次数: 0

Electric Vehicles Arrival and Departure Time Prediction Based on Deep Learning: The Case of Morocco 基于深度学习的电动汽车到达和离开时间预测——以摩洛哥为例

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738115

M. Boulakhbar, Farag Markos, Kawtar Benabdelaziz, M. Zazi, M. Maaroufi, T. Kousksou

{"title":"Electric Vehicles Arrival and Departure Time Prediction Based on Deep Learning: The Case of Morocco","authors":"M. Boulakhbar, Farag Markos, Kawtar Benabdelaziz, M. Zazi, M. Maaroufi, T. Kousksou","doi":"10.1109/IRASET52964.2022.9738115","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9738115","url":null,"abstract":"The charging patterns of plug-in electric vehicle (PEV) owners have a substantial impact on the distribution network's reliability. Uncertainty over arrival and departure dates makes scheduling plug-in hybrid electric cars difficult, particularly in regulated (non-liberal) electricity markets. Monitoring the arrival and departure periods of electric vehicles (EVs) in general has become one of the most essential parts in green and intelligent micro-systems; hence, anticipating the arrival and departure times of PEVs may assist manage the grid effectively. The purpose of this paper is to predict the arrival and departure times of electric vehicles in public charging station in to better distribute electric power on the grid as well as assess the expected impact of additional EVs on the grid, considering specific characteristics of the Moroccan power system. Consequently, three deep learning methods are applied in this research and the approach is validated using a dataset consisting of 1793 charging events collected from public charging stations in Morocco. Obtained results will serve as a decision-making tool for electricity regulatory authorities (ONEE) and public utility companies in the selection and implementation of efficient smart charging strategies, including the potential for electric vehicles (EVs) to use renewable energy more efficiently, lowering costs while improving the Moroccan electricity grid's stability.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"25 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":"129026557","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

Products exchange in a multi-level multi-period distribution network with limited storage capacity 在存储容量有限的情况下，产品在多层次、多周期的分销网络中交换

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738100

Abdennour Ilyas Benfriha, Lamia Triqui-Sari, A. Bougloula, M. Bennekrouf

引用次数: 0

SMDQM-Social Media Data Quality Assessment Model 社交媒体数据质量评估模型

2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2022-03-03 DOI: 10.1109/IRASET52964.2022.9738330

Oumaima Reda, A. Zellou

{"title":"SMDQM-Social Media Data Quality Assessment Model","authors":"Oumaima Reda, A. Zellou","doi":"10.1109/IRASET52964.2022.9738330","DOIUrl":"https://doi.org/10.1109/IRASET52964.2022.9738330","url":null,"abstract":"Social media has taken a dominant place in people's lives since it become more than just a mode of communication between individuals. They regularly share their daily activities, experiences, and exchange interests and opinions on social media sites, leading to a flood of information that can be used by consumers. However, the reduced posting barriers, no operational costs and easy-to-use interactive interfaces have combined to create a variety of data quality issues in social media, making it difficult to obtain relevant, timely and accurate data. Given the increasing use of social media by users to obtain news and information first hand, they are required to filter a significant volume of data to reach the most satisfying to their request, therefore we can say that the process is more qualitative than quantitative. This paper proposes a new classification of data quality dimensions towards a social media data quality model called SMDQM(Social Media Data Quality Model), for this the quality of social media data is discussed, then we present the steps involved to create our model SMDQM. This attempt will be established by considering and discussing a state of the art in the field of social media and data quality.","PeriodicalId":377115,"journal":{"name":"2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"8 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":"116920955","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