Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)

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40 articles
Proceedings Article

An Efficient Heuristic to Solve a Multi-objective Scheduling Problem in a Cloud Environment

Fatima Hassan, Jihene Kaabi
Due to the spread usage of cloud computing and the dramatic increase on resources used by cloud providers such as the data centers, the effect of those resources becomes a major concern of many organizations. Since the huge amount of energy used in those data centers has noticed impact on the world....
Proceedings Article

Malagasy Abstractive Text Summarization Using Scheduled Sampling Model

Volatiana Marielle Ratianantitra, Jean Luc Razafindramintsa, Thomas Mahatody, Claire Rasoamalalavao, Victor Manantsoa
Since 1955, text summarizing has evolved. We could observe all the various approaches in several languages, although most of these methods were for significant languages such as English, French, etc. Other scholars have figured out how to summarize their material in their language (a language other than...
Proceedings Article

The Technology Transfer of Machine Learning Solutions in Healthcare 4.0: The Case of Neurodegenerative Diseases

A. Demarinis Loiotile, L. Bellantuono, F. De Nicolò, A. Monaco, S. Tangaro, N. Amoroso, R. Bellotti
Along with the advancement of Machine Learning (ML) research, there is an increasing need for supporting the exploitation of ML-based solutions in a wide range of application fields of Industry 4.0. Healthcare 4.0 is one of the liveliest and interesting fields of Industry 4.0, due to the huge economic...
Proceedings Article

Novel Training Methods Based ANN for the Consumed Energy Forecasting

Arwa ben farhat, adnen cherif
Artificial Neural Networks have demonstrated best effectiveness and excellent scheduling capabilities in realizing many purposes like recognition, clustering, classification, management and even prediction. For this reason, we have used RBF based Artificial NN for the dynamic forecasting of load and...
Proceedings Article

Smart Feature Selection for Fault Detection in the MEMS Sensor Production Process Using Machine Learning Methods

Itilekha Podder, Tamas Fischl, Udo Bub
Micro-electromechanical systems (MEMS) manufacturing is a highly complex process consisting of several hundred steps. The real-time data captured during those process control steps results in a huge data base. Analysis of that enormous amount of data in real-time with high sample rate during production...
Proceedings Article

Protection of an HVDC Link Towards Modeling and Simulation Based DC Connection Defects

Mankour Mohamed, Benslama Sami
This paper aims to study the DC-link faults and recovery scenarios based on a 12-pulse HVDC (High Voltage Direct Current) link system. DC-link to ground fault is considered as one of the most serious fault that can occur on HVDC-link. Therefore, in order to understand the system behavior in the presence...
Proceedings Article

Internet of Things in the Setting of COVID-19 In E-Commerce: Defining and Implementing an Appropriate Framework

Mohamed Shili, Kaouthar Sethom
The Internet of Things (IoT) is expected to have a significant impact during the pandemic. Individuals are using IoT for educational purposes (as students and trainers), office work, banking, and medical jobs during the pandemic, according to the (COVID-19) survey. Individuals who have used IoT services...
Proceedings Article

Home Energy Management Machine Learning Prediction Algorithms: A Review

Ohoud Almughram, Bassam Zafar, Sami Ben Slama
Renewable energies are being introduced in countries around the world to move away from the environmental impacts from fossil fuels. In the residential sector, smart buildings that utilize smart appliances, integrate information and communication technology and utilize a renewable energy source for in-house...
Proceedings Article

PANI-CSA/Co3O4 Nanocomposite Films: Optical, Morphological, and Structural Properties

Mahmoud Al-Gharram, Inshad Jum’h, Ahmad Telfah, Mahmoud Al-Hussein
Nanocomposites films of (PANI-CSA)/(Co3O4 NPs) with (1, 3, 6, and 12 wt.%) of Co3O4 NPs were deposited on ITO-glass substrates using the electrochemical polymerization method. The optical properties and parameters of the nanocomposites films were investigated and determined through experimental UV-Vis...
Proceedings Article

Efforts to Increase Student Academic Achievement Through Knowledge Sharing

Suhana Suhana, Anwar Mansyur, Lutfika Rachmawati
This paper aims to gather empirical evidence regarding the effect of trust, benevolence, and self-efficacy for knowledge sharing on knowledge sharing. Additionally, the study seeks empirical evidence regarding the influence of knowledge sharing on students’ academic achievement. The research population...
Proceedings Article

Sizing Up Integrated Reporting Disclosure and Value: The Indonesia and Singapore Cases

Dwiarso Utomo, Zaky Machmuddah, Dian Indriana Hapsari
The purpose of this study is to provide empirical evidence regarding the relationship between Integrated Reporting Disclosure (IRD) and corporate value, moderated by company size. The research object is an IDX and SGX-registered manufacturing enterprise. Based on predefined sample parameters, several...
Proceedings Article

Intervention Variable in Indonesian Industry: Case Study on Capital Structure

Andi Kartika, Cahyani Nuswandari, Sri Sudarsi, Ika Rosyada Fitriati
This paper examines the impact of liquidity, profitability, firm size, asset structure and capital structure on business value. From 2015 to 2018, the study’s population included numerous industries listed on the Indonesia Stock Exchange. Purposive sampling was used to gather the research sample—multiple...
Proceedings Article

Job Stress, Compensation, Job Dissatisfaction and Turnover Intention

Kusni Ingsih, Ana Kadarningsih, Nova Rijati
Turnover refers to employees who intend to leave their jobs due to decreased employee numbers and the associated costs of recruiting and recruiting new employees. Job stress, compensation, and job satisfaction are all factors that can contribute to an employee quitting his or her job. This study enrolled...
Proceedings Article

Profitability Factor in Boosting the Company’s Value During Pandemic Spreads

Dian Prawitasari, Ana Kadarningsih
This paper aims to determine how to increase the food value and beverage companies’ stock or companies during a pandemic. The five research variables are liquidity, working capital turnover, firm size, profitability, and firm value, where profitability as a moderating factor in determining firm value....
Proceedings Article

Implications of the Trade Balance on the Indonesia Composite Index

Maria Safitri, Vicky Oktavia
This paper aims to determine the effect of the Covid-19 scenario, the Rupiah Exchange Rate, on the Indonesia Composite Index via the Balance Of Trade. From September 2019 to August 2021, the variables employed in this study are the development of active Covid-19 (C-19) cases in Indonesia, as well as...
Proceedings Article

Control Approaches of Permanent Magnet Synchronous Motor Used for Electric Vehicle Power Train

K. Cherif, A. Sahbani, K. Ben Saad
An Electric vehicle (EV) is a road vehicle that uses electric propulsion. It has an electric motor consuming a portable and an electrochemical energy source. Some drive circuits of electric vehicles are realized around AC electric motors. Among the AC electric motor types, we can cite the Permanent Magnet...
Proceedings Article

Optimization of Backscattered Electron (BSE) Detector for Variable Pressure SEM with Monte Carlo method

Z. Hafsi, L. Djemoui, O. Mansour, A. Kadoun
This work deals with The study of the energy and angular distributions of backscattered electrons (BSE) detected under vacuum and with pressure, which contribute to determining the appropriate place to put the BSE detector, we examine vacuum and air gas, the diameters of detector, we discuss its influence...
Proceedings Article

Calcium Hydroxide-Based Degradation of Hydrocarbons in Petroleum Refinery Wastewater

Khedidja Benouis, Yasmina Khane, Yassine Khalfi, Soufiane Guella, Amine Chalabi
Hydrocarbons, aldehydes, sulfides, heavy metals, and other contaminants from petroleum treatment processes have been discovered in the oil and gas industry liquid discharge. Hydrocarbons primarily cause the pollution shared by all units. The purpose of this study is to assess the performance of the coagulation-flocculation...
Proceedings Article

Physicochemical and Biological Characteristics of Aloe Barbadensis Miller Gel Extract from Ghardaia, Algeria

Yasmina khane, Tahri Ahmed, Benouis Khedidja, Dabouz Mounir, Chihani Salah, Khane sofiane
Aloe barbadensis Miller, usually referred to Aloe vera, has existed around since the dawn of time. It is a North African plant that has a variety of medicinal properties. This work was a contribution to studying the physico-chemical characteristics, the photochemical content, and the biological properties...
Proceedings Article

Spectroscopy Analysis of Silver Nanoparticles Synthesized from citrus Limon Leaf Extract and Their Biological Effects

Khane Yasmina, Benouis Khedidja, Metiaz Hadj Mohammed, Boudiba Ahlem, Khane Sofiane, Djaber Aouf, Fenniche Fares, Messaouda Matallah
Due to its efficiency, eco-friendliness, non-toxicity, and cost-effectiveness, the utilisation of plant extracts in the manufacture of silver nanoparticles has garnered attention. The purpose of this study is to determine the feasibility of generating silver nanoparticles from an aqueous extract of Citrus...
Proceedings Article

Optimization of Coagulation Parameters for Turbidity Removal Using Box-Behnken model

Khedidja Benouis, Ahmed Alami, Yassine Khalfi, Soufiane Guella, Yasmina Khane
This study aims to determine the efficacy of using calcium hydroxide Ca(OH)2 in coagulation process to treat urban liquid effluent from wastewater purification plant. The response surface methodology was used. The effects and interactions between three key process parameters was enhanced applying Box-Behnken...
Proceedings Article

The Impact of Financial Performance and Audit Opinions: An Indonesian Case Study

Anna Sumaryati, Foza Hadyu Hasanatina, Fanny Fanny
This study aims to analyze the impact of profitability, solvency, liquidity, firm size, and audit opinion on audit report lag. The population in this study are Property and Real Estate Enterprises registered on the Indonesian Stock Exchange for the 2017-2020 period. The sample selection in this study...
Proceedings Article

Mediating Role of Company Size on Earnings Per Share and Price to Book Value

Julia Safitri, Muhamad Arief Affandi
Earnings Per Share (EPS) is calculated by dividing net income by the number of outstanding shares (Shares outstanding). When evaluating a company’s success, investors must consider how changes in income affect their investment. This study will examine the impact of the revenue per offer and profit strategy...
Proceedings Article

FTIR-ATR Analysis, Curve Fitting of Rigid PVC Tube Used in Industrial Areas

Zineb Hadj amar, Salem fouad Chabira, Mohamed Sebaa
The purpose of this study is to determine the effect of high temperatures on rigid PVC tubes used in industrial areas that the release of very hot fluids is prevalent. Three different aging protocols (T=80 °C, T= 100 °C, and T=120 °C) were performed for 90 days at temperatures near and above the glass...
Proceedings Article

Adaptability Resonance Exploitation for Enhancing Firm Performance

Anis Atikah, Harry Soesanto
The literature on social media has been widely disseminated, utilizing a variety of metrics and techniques. This paper aims to examine a novel conceptual model that can help close a gap in the research on social media to improve business performance. The SEM testing method analyses cross-sectional data...
Proceedings Article

Electric Vehicle Energy Management Strategy Geared to Smart Cities

Khadhraoui Ahmed, Cherif Adnen
The Electric Vehicle (EV) has shown potential for reducing pollution and conserving fuel. The solution saves gasoline, making developing the correct Energy Management Strategies (EMSs) for EVs difficult. Achieving effective power distribution requires meeting design requirements, which can be challenging....
Proceedings Article

A Novel MPLS Traffic Load Algorithm for Efficient Traffic Management

Khadidja Sakhri, Ahmed Korichi, Azzaoui Nadjet
The ever-increasing network user use places enormous strain on the existing network infrastructure, causing congestion and lowering network performance. Multi-Protocol Label Switching (MPLS) is becoming the standard transport technology for core networks due to its potential to create procedures and...
Proceedings Article

Geographical Routing Protocols in VANets: Performance and Security Analysis

Messaoud Benguenane, Ahmed Korichi, Nadjet Azzaoui
Vehicular ad hoc networks (VANETs) enable communication between automobiles and communication equipment positioned along the street to provide road safety and convenience applications. Security is a must for all of these applications. Due to its highly dynamic architecture and frequent connectivity breakdowns,...
Proceedings Article

A Framework for Improving Data Quality Throughout the MDM Implementation Process

Chafika Benkherourou, Abdelhabib Bourouis
Controlling data value is becoming more challenging for businesses. Data redundancy is the most common cause of problems. Master Data Management (MDM) may help avert various issues by providing a “single version of the truth” throughout the organization. One of the fundamental causes for MDM implementation...
Proceedings Article

Deep Learning Algorithms Enabling Event Detection: A Review

Cherifa Nakkach, Amira Zrelli, Tahar Ezzeddine
Deep Learning has revolutionized computer vision, natural language processing, speech recognition, and information retrieval. However, as deep learning models developed, their parameter count, latency, and resource requirements rose. As a result, a model’s footprint, as well as quality, should always...
Proceedings Article

Resonance Frequency Prediction of Aperture Coupled Microstrip Antenna Based on Artificial Neural Network

Mariem Abdi, Taoufik Aguili
Communication in the millimeter frequency band becomes a requirement with the launch of 5G hence the importance of the design of integrated antennas. The aperture-coupled microstrip patch antenna is a suitable choice for 5G application especially since it presents less losses compared to others microstrip...
Proceedings Article

Arrhythmia Classification Using Fractal Dimensions and Neural Networks

Ben Ali Sabrine, Aguili Taoufik
According to statistics, there has been a big increment in death in consequence of failures worldwide. Electrocardiogram was chosen as a possible implement for diagnosing cardiovascular diseases, it is a test that records the electrical activity given by the heart muscle and how it contracts. In this...
Proceedings Article

A Novel Approach for Determination of Red Blood Cells Concentration based on Beer Lambert Law

Mouna Dhmiri, Yassine Manai, Tahar Ezzeddine
This paper investigates a novel method for determining the concentration of Red Blood Cells in blood vessels. COMSOL Multiphysics software is used to create the geometric model of blood vessels and their elements. The blood movement is considered a computational fluid dynamics problem, and the movement...
Proceedings Article

Polypyrrole-Metal Oxide-Carbon Nanocomposite Films Corrosion Enhancement on Industrial Steel

Inshad Jum’h, Yousef Al-Abdallat, Ehab M. AlShamaileh, Mohammad D. AL-Tahat, Ahmad Telfah
Nanocomposite films of polypyrrole (PPy) doped with zinc oxide nanoparticles (ZnO NPs), silica nanoparticles (SiO2 NPs), and carbon were synthesized using electrochemical technique. These films were proposed as an anticorrosion agent and tested on industrial steel samples. The films and the dopant nanoparticles...
Proceedings Article

Spatio-Temporal Data Model for Wireless Sensor Network

Kamel Abbassi, Kamel khedhiri, Tahar Ezzedine, Adnen Cherif
The monitoring system based on a sensor network requires large databases due to the storage of measurements without checking their redundancies. In this paper, we propose an instantaneous spatio-temporal data model based on object-oriented concepts that considers the possibility of tracking data from...
Proceedings Article

Stock Prices in Industrialized and Emerging Countries during Covid-19 Pandemic

Zaky Machmuddah, Hayu Wikan Kinasih, Etna Nur Afri Yuyetta, Abdul Rohman
This study aims to examine the daily stock prices of banking businesses in industrialized and emerging countries. The event study approach is used to analyze the daily stock prices of banking businesses listed on the NYSE, SSE, SGX, and IDX between December 1, 2020, and February 28, 2021. The Kruskal...
Proceedings Article

Detection of Dry and Wet Age-Related Macular Degeneration Using Deep Learning

Muhammad Muhammad Abdullahi, Sudeshna Chakraborty, Preeti Kaushik, Ben Slama Sami
Age-related macular degeneration (AMD) is a retinal disease in elderly people which deteriorate the central part of the retina. It is one of the leading causes of vision loss in the ageing persons. Every day, massive retinal images of patients with AMD are generated using the Optical Coherence Tomography...
Proceedings Article

SIPF Protocol for Wireless Sensor Networks with Optimal Energy Efficiency Depending on Density

Walid BOUDHIAFI, Tahar EZZEDINE
Wireless sensor networks (WSN) are viewed as a group of sensor nodes that monitor an area and interact collectively to provide data directly to the base station (BS) or intermediate sensor nodes through single-hop routing, multi-hop routing. The main characteristics of a WSN are: lifetime, rate of loss...
Proceedings Article

Scattering Problem Modelling in IoT Antennas

Auns Khaled, Dorsaf Omri, Taoufik Aguili
Modern radio system requirements have pushed antenna theory and practice in novel directions. One of them investigates the performance of non-linear elements in antennas. Numerous factors influence the growth of leaders. For this This article describes a new technique for simulating the scattering problem...
Proceedings Article

TunRoBERTa: A Tunisian Robustly Optimized BERT Approach Model for Sentiment Analysis

Chaima Antit, Seifeddine Mechti, Rim Faiz
Sentiment Analysis has grown in importance and popularity due to the proliferation of microblogging sites and the increase in posted comments, tweets, and posts, as it allows for the prediction of people’s feelings, thoughts, impressions, and opinions. Sentiment analysis is regarded as one of the most...