Publications Scientifiques
Permanent URI for this communityhttps://dspace.univ-boumerdes.dz/handle/123456789/10
Browse
7 results
Search Results
Item ArabAlg: A new Dataset for Arabic Speech Command Recognition for Machine Learning Applications(University of Bahrain, 2024) Oukas, Nourredine; Haboussi, Samia; Maiza, Chafik; Benslimane, NassimAutomatic Speech Recognition (ASR) systems have witnessed significant advancements in recent years, thanks to the emergence of deep learning techniques and the availability of large speech datasets in various languages. With the increasing demand for Arabic voice-enabled technologies, the availability of a high-quality and representative dataset for the Arabic language becomes crucial. This paper presents the development of a new dataset called ArabAlg, specifically designed for Arabic Speech Command Recognition (ASCR), to support the integration of Arabic voice recognition systems into smart devices in the Internet of Things (IoT). This research focuses on collecting and annotating a diverse range of Arabic speech commands, encompassing various domains and applications. The dataset construction process involves recording and preprocessing several utterances from native Arabic speakers. To ensure precision and reliability, quality control measures are implemented during data collection and annotation. The resulting dataset provides a valuable resource for training and evaluating ASCR systems tailored for Arabic speakers using Machine Learning and Deep Learning.Item Leveraging AIoT for advanced quality control in production lines(Institute of Electrical and Electronics Engineers Inc, 2023) Hiou, Mohamed Yanis; Akroum, HamzaNowadays, edge computing has emerged as a crucial component in the fourth industrial revolution, effectively merging data processing in close proximity to its source. This approach not only enhances the efficiency of data processing but also integrates data acquisition, analysis capabilities, sensing, and communication. Additionally, the Internet of Things (IoT) holds substantial importance within Industry 4.0, serving as a fundamental technology for wireless connectivity, data collection, and real-time monitoring. Simultaneously, while edge computing offers numerous advantages, it also presents challenges such as security concerns, data-intensive services, handling incomplete data, and notably, substantial investment and maintenance costs. To address these issues, cloud computing technology emerges as the optimal solution. This article aims to to propose an innovative approach called Artificial Intelligence of Things (AIoT) for optimizing production management. The focus of this project is the development of a production line for quality control capable of classifying gears as well as detecting defective ones. The production line collects comprehensive data, which is subsequently transmitted to a server for further processing. The results are then displayed through various interfaces, including an a web dashboard, A desktop interface and an Android app, providing analytics insights. This project leverages the integration of AI and IoT technologies within the AIoT framework to create a fully autonomous environment that significantly enhances overall efficiency.Item An edge computing approach to explore indoor environmental sensor data for occupancy measurement in office spaces(IEEE, 2019) Zemouri, Sofiane; Magoni, Damien; Zemouri, Ayoub; Gkoufas, Yiannis; Katrinis, Kostas; Murphy, JohnHuman occupancy measurement has become a topic of increasing interest in the past few years, due to the important role it plays in controlling a number of demand-driven applications like smart lighting and smart heating, as well as improving the energy efficiency of these applications in a broader sense. Office occupancy monitoring in commercial buildings can yield huge savings and improvements in terms of thermal, visual, and air quality. However, this is often impeded due to the lack of fine-grained occupancy information. This paper explores the use of low-priced environmental (temperature and humidity) sensor data for measuring occupancy in an office space. The idea behind this work is to leverage the variation divergence between humidity and temperature caused by human presence. We used a Raspberry Pi with a daughterboard called Sense Hat, which is equipped with the environmental sensors used in this study. The results are compared with occupancy data obtained from camera feeds in order to assess the effectiveness and the accuracy of the combined occupancy measurements, and show up to 87% accuracyItem Air quality monitoring using IoT : a survey(IEEE, 2019) Mokrani, Hocine; Lounas, Razika; Bennai, Mohamed Tahar; Salhi, Dhai Eddine; Djerbi, RachidThe increase in industrial activities and the rapidurbanization of human populations had a terrible effect onglobal air quality. Thousands of factories and billions of vehiclesrelease enormous amounts of pollutants into the air everyday; dangerously affecting human health. Many epidemiologicalstudies pointed out the responsibility of air pollution in manyhealth issues, the reason why monitoring air quality becamean obligation to prevent or limit these issues. Conventionalsystems based on measuring stations are expensive and offerlow data granularity. As a result, researchers are increasinglytargeting IOT-based systems. However, elaborating a new systemfor air quality monitoring requires an awareness of the stateof the art and the mastery of a certain amount of specificknowledge (pollutants, their health effects, the sensing equipment,the IOT possible configuration,...).This paper aims to answerthese necessities by reviewing the existing works on air qualitymonitoring using IOT with the focus on lasted trends andchallengesItem Multi-agent system for voltage regulation in smart grid(Springer, 2020) Belaidi, Hadjira; Bentarzi, Hamid; Rabiai, Zakaria; Abdelmoumene, AbdelkaderIn this research work, a new approach of decentralized energy management for smart grid is proposed to solve the problem of distributed voltage regulation. Where, micro-grids and aggregators are used as smart agents that can communicate with each other to share information, distribute energy and control their own energy consummation. Aggregators make the link between flexible resources. Smart-agents are an emerging technology for decentralized computation and data storage, secured by a combination of cryptographic signatures and a distributed consensus mechanism. So, two types of agents: energy Generation AGent (GAG) and Bus Agent (BAG) are used to regulate the voltage levels by injecting more power at some buses using the renewable energy sources. The interaction between the two types of agents is based on communication and exchange of information about the parameters and the state of the power grid. For testing this approach, a developed tester by our laboratory has been used that gives a good resultItem Tactile Internet to Share VR users’ Experiences(Association for Computing MachineryNew YorkNYUnited States, 2020) BENBELKACEM, Samir; ZENATI-HENDA, Nadia; BENTALEB, Ahmed; AOUAM, Djamel; OTMANE, SamirWe propose the concept of “ Tactile Internet ” ( Tac-I ) that will be the next evolution of the Internet of Things (IoT). It enables sharing experiences of others with the sense of touch. In our case, Tac-I al- lows to multicast vibrotactile sensations from one node to multiple nodes via Internet. We developed vibrotactile shared devices which are physical bracelets connected between them through Cloud plat- form. We use the WebRTC as communication protocol to exchange data between tactile bracelets. Users can access Tac-I Web using a smartphone or Tablet and experience the vibrotactile sensation by manipulating virtual objects in a virtual reality environment from a Web browser. Multiple vibrotactile bracelets would be connected to the Cloud and transmit the tactile information from one node to another one or to multiple ones.Item A new distributed algorithm for finding dominating sets in IoT networks under multiple criteria(2017) Bezoui, Madani; Bounceur, Ahcène; Euler, Reinhardt; Moulai, Mustapha