Search
1970 articles for “challenges” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Path Planning using DDPG Algorithm and Univector Field Method for Intelligent Mobile Robot
Abstract: Path planning is one of the most fundamental challenging tasks in robotics and its purpose is to lead the robot from the initial position to the goal without any collision through the optimal route. With the rapid development of artificial intelligence technology, AI has been widely studied for robot path planning and a method by deep reinforcement learning (DRL) was proposed. In general, path planning methods with DRL need discrete …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
-
Optimization of Production Processes to Minimize Waste and Improve Efficiency in Automobile Servicing Plant Using Lean Six Sigma
Abstract: This study focuses on optimizing production processes within an automobile servicing plant to minimize waste and enhance efficiency through the application of lean six sigma (LSS) methodologies. Utilizing a case study approach, the research addresses real-time challenges related to productivity and waste reduction. Data collection involves assessing machine functionality metrics, material and labor flow at various stages of the servicing process. The optimization strategy integrates lean tools including value stream …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 47–63 Read article
-
A Study on the Prevalence and Causative Factors of Anemia in Patients Undergoing Maintenance Hemodialysis
Abstract: Anemia is a common and serious issue in individuals with chronic kidney disease (CKD) who are on maintenance hemodialysis (MHD), greatly affecting their overall health and quality of life (QoL). Despite advancements in treatment, anemia remains a challenging issue in this population. This study investigates the prevalence of anemia and identifies the contributing factors in CKD patients on MHD with the aim of enhancing clinical management strategies. This study focused …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 73–89 Read article
-
Performance Analysis of Heat Pump and Air Conditioning System Using R-32 Refrigerant & Theoretical Comparison With R-290 Refrigerant
Abstract: An extensive performance analysis of a heat pump air conditioning system for both cooling and heating applications is included in this research. The purpose of the research is to assess the system's overall performance, energy consumption, and efficiency under various operating scenarios. The research incorporates a range of experimental techniques. An overview of the heat pump air conditioning system's parts and operation is given at the outset of the examination. …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 11, Issue 3, 2024 · pp. 14–21 Read article
-
A Pragmatic Analysis of Rapport Orientation in Selected Rehabilitated Schools in Syria
Abstract: Rapport orientations are not frequently explored in educational discourse, despite their significant role in enhancing or maintaining relationships between students and teachers, and in avoiding or mitigating embarrassing situations. This paper aims to investigate the rapport orientations of students and teachers based on Spencer-Oatey’s (2008) theory. A descriptive-analytical method was adopted to analyze and interpret the questionnaires from students and teachers in selected rehabilitated schools in Syria. The software MAXQDA …
Published in International Journal of Education Sciences · Vol. 2, Issue 1, 2025 · pp. 46–61 Read article
-
Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
-
Isolated Bidirectional Flyback Converter in EV Charging and V2G Systems: A State-of-the-Art-Review
Abstract: The growing adoption of electric vehicles (EVs) and the potential of Vehicle-to-Grid (V2G) technology underscore the importance of efficient and reliable isolated bidirectional DC-DC converters in EV charging systems. The market for electric vehicles (EVs) is expanding at an exponential rate due to the worldwide trend towards sustainable transportation, with electric mobility emerging as a crucial way to lower carbon emissions and rely less on fossil fuels. This review examines …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 23–32 Read article
-
Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
-
A Comprehensive Review of Deep Compressive Sensing for Efficient IoT Data Management
Abstract: The Internet of Things has revolutionized data-driven ecosystems and offers advanced services, such as live monitoring and automation in various domains: smart cities, healthcare, and industrial automation. However, with the exponential growth of IoT devices, comes a large amount of data generation, which poses considerable problems like network congestion, latency, and energy inefficiency. Compressive sensing (CS), one of the newest signal processing methodologies, has emerged as an enabler to meet …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
-
Power Quality Improvement in Grid-Connected PV Systems using TCSC
Abstract: Power quality issues such as voltage sags, swells, and harmonic distortions pose significant challenges to the stability and efficiency of grid-connected systems. This study presents a simulation and analysis of a Thyristor-Controlled Series Capacitor (TCSC) for mitigating voltage sags and swells, thereby enhancing overall power quality. A grid-connected photovoltaic (PV) system integrated with a TCSC is modelled and simulated using MATLAB/Simulink to evaluate its performance under diverse operating conditions. The …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
-
Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
-
Real-Time Supply Chain Monitoring with Blockchain: A Decentralized Approach
Abstract: This study presents the development and implementation of a Blockchain-Enhanced Shipment Management and Tracking System (SMTS) to address key challenges in the logistics and shipping industry, such as inefficiencies, lack of transparency, security concerns, and high operational costs. Utilizing blockchain technology, particularly Hyperledger Fabric, the SMTS creates a decentralized, immutable ledger that enhances real-time shipment tracking, ensures data integrity, and improves security by reducing fraud and unauthorized tampering. Smart contracts …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
-
Effectiveness of Soya Bean Intake on Reducing Menopausal Symptoms Among the Menopause Women
Abstract: Background: Menopause represents a natural phase in a woman’s life, signifying the end of her reproductive years and typically occurring as part of the aging process. While some women navigate this transition smoothly, others may experience challenging or severe symptoms. Study Objective: The purpose of this research was to assess the impact of soybean consumption in reducing menopausal symptoms. A total of 60 menopausal women from the gynecology outpatient department …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 3, 2024 · pp. 93–105 Read article
-
Historical Antecedents of Boko Haram Insurgency and Its Implications on Educational Development in Northeast Nigeria
Abstract: The Boko Haram insurgency has greatly affected the socio-economic and educational systems of Northeast Nigeria. This paper examines the historical antecedents of the insurgency, analyzing how socio-political, economic, and ideological factors have contributed to its emergence and persistence. The study highlights the enduring impact of colonial legacies, socio-economic marginalization, and governance failures, which have collectively created fertile ground for the radicalization of disenfranchised populations. The insurgency’s deliberate targeting of educational …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 3, 2024 · pp. 54–63 Read article
-
Advancing IoT Connectivity through Very Large-Scale Integration of Semiconductor Technology
Abstract: The term "integrated circuit" as it is currently used typically refers to a monolithic IC, which is significantly different from an HIC in that the former is created by joining several components on a substrate, while the latter is created in a sequence of steps using a single wafer that is subsequently divided into chips. Hybrid chips are perfect for complicated applications in sectors like artificial intelligence (AI), the Internet …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 54–63 Read article
-
Production of Bio-Ethanol from Mixed Fruit Pulp
Abstract: Speedy depletion and the continuously increasing cost of fossil fuels, is forcing the world to switch to renewable energy and perennial fuels. Among the different sources of renewable energy, bio-ethanol appears as a potential bio-fuel, which could be produced by a variety of biomasses available in abundance. This article mainly focuses on the utilization of completely waste mixed fruit pulp for bio-ethanol production. Bio-ethanol was extract from waste mixed fruit …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 55–61 Read article
-
Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
-
A Review Article on Spice up the Solution of Inflammation Through Phytomedicines
Abstract: Inflammation is a complex, protective immune response essential for healing and combating infection. However, prolonged inflammation is associated with chronic diseases, such as arthritis, cardiovascular disorders, diabetes, and neurodegenerative conditions. Traditional nonsteroidal anti-inflammatory drugs (NSAIDs) and corticosteroids can exhibit adverse effects, particularly with chronic administration. This challenge has encouraged the exploration of natural alternatives. Among various natural anti-inflammatory agents, spices, such as ginger, garlic, turmeric, cardamom, and black pepper have …
Published in Emerging Trends in Metabolites · Vol. 2, Issue 1, 2025 · pp. 1–10 Read article
-
Streamlining Student Profile and Continuous Comprehensive Evaluation Record Management
Abstract: Streamlining Student Profile and Continuous Comprehensive Evaluation Record Management is a mobile computing software application that focuses on activities such as taking attendance, recording marks, and generating student reports according to faculty preferences. Compared to traditional attendance systems, the proposed system is faster and more efficient, making it easier for teachers to manage attendance and generate mark sheets. The system is designed exclusively for teachers and institutes adopting a modern …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 28–35 Read article
-
Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article