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Brilliance: Research of Artificial Intelligence
Published by Information Technology and Science
ISSN : -     EISSN : 28079035     DOI : https://doi.org/10.47709
Core Subject : Science, Education,
Decision Sciences, Operations Research & Management Mathematics Other
Brilliance: Research of Artificial Intelligence is The Scientific Journal. Brilliance is published twice in one year, namely in February, May and November. Brilliance aims to promote research in the field of Informatics Engineering which focuses on publishing quality papers about the latest information about Artificial Intelligence. Submitted papers will be reviewed by the Journal and Association technical committee. All articles submitted must be original reports, previously published research results, experimental or theoretical, and colleagues will review. Articles sent to the Brilliance may not be published elsewhere. The manuscript must follow the author guidelines provided by Brilliance and must be reviewed and edited. Brilliance is published by Information Technology and Science (ITScience), a Research Institute in Medan, North Sumatra, Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 548 Documents
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Artificial Intelligence in Engineering Mohamed Khaleel; Abdussalam Ali Ahmed; Abdulgader Alsharif
Brilliance: Research of Artificial Intelligence Vol. 3 No. 1 (2023): Brilliance: Research of Artificial Intelligence, Article Research May 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i1.2170

Abstract

Artificial intelligence (AI) has moved past its primitive stages and is now poised to revolutionize various fields, making it a disruptive technology. This technology is expected to completely transform traditional engineering in design, electrical, communication, and renewable energy approaches that have been human-centred. Despite being in its early stages, AI-powered engineering applications can work with vague design parameters and resolve intricate engineering problems that cannot be tackled using traditional design, electrical, communication, and renewable energy methods. This article aims to shed light on the current progress and future research trends in AI applications in engineering concepts, focusing on the ramp-up period of the last 5 years. Various methods such as machine learning, genetic algorithm, and fuzzy logic have been carefully evaluated from an engineering standpoint. AI-powered design studies have been reviewed and categorized for different design stages such as inspiration, idea and concept generation, evaluation, optimization, decision-making, and modeling. The review shows that there has been an increased interest in data-based design methods and explainable artificial intelligence in recent years. The use of AI methods in engineering applications has proven to be efficient, fast, accurate, and comprehensive, particularly with the use of deep learning methods and combinations that address situations where human capacity is inadequate. However, it is crucial to choose the appropriate AI method for an engineering problem to achieve successful results.
Role of AI in Business Management Bimalendu Pendy
Brilliance: Research of Artificial Intelligence Vol. 3 No. 1 (2023): Brilliance: Research of Artificial Intelligence, Article Research May 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i1.2191

Abstract

The article discusses the increasing applications of AI in business management. In sales and marketing, AI-powered tools can help businesses understand customer needs, create personalized marketing campaigns, and improve customer engagement. AI is also revolutionizing supply chain management, improving efficiency, and agility by analyzing real-time data. Customer service is also transforming through AI-powered chatbots that handle routine queries, allowing human agents to focus on more complex issues. In financial analysis, AI provides accurate and timely insights into financial performance, risk management, and investment opportunities. The article also highlights the benefits of AI, including increased efficiency and productivity, improved accuracy and precision, and better customer experience. It also addresses some challenges of AI in business management, such as data quality and availability, skills and expertise, cost, ethics and bias, and integration with existing systems. Finally, it discusses the future potential of AI in business management, such as predictive analytics, personalized marketing, chatbots, and process automation.
Intelligent Control Techniques for Microgrid Systems Mohamed Khaleel
Brilliance: Research of Artificial Intelligence Vol. 3 No. 1 (2023): Brilliance: Research of Artificial Intelligence, Article Research May 2023
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i1.2192

Abstract

Microgrids (MG) are complex systems that integrate distributed energy resources to provide reliable and efficient power to local loads. Due to the dynamic and uncertain nature of the MG environment, intelligent control techniques have become a popular solution to ensure optimal performance. This paper provides an overview of the recent advances in intelligent control techniques applied in MG, including neural networks, model predictive control, game theory, deep reinforcement learning, and Bayesian controllers. The paper also presents a discussion of the advantages and limitations of these techniques, highlighting the challenges associated with implementing them in MG systems. Finally, investigation of the existing literature on the performance of intelligent control techniques in MG systems is presented, providing insights into their effectiveness in improving the energy efficiency, stability, and reliability of MG systems.
Maximum Power Point Tracking Achievements and Challenges in Photovoltaic Systems Ahmed Mousa
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.2385

Abstract

The ever-increasing demand for electrical energy in recent decades has necessitated the exploration of alternative energy sources, one of which is solar energy. The most practical means of utilizing solar energy is through the use of a Photovoltaic (PV) system. Nevertheless, the energy harvested by PV modules is constrained by low conversion efficiency, nonlinearity, and susceptibility to weather conditions, such as temperature and irradiance levels. To address these limitations, Maximum Power Point Tracking (MPPT) techniques have been developed to optimize the output of PV systems under specific circumstances. This academic article provides an in-depth analysis of the most widely used MPPT techniques, utilizing both traditional and soft computing methods. The article discusses the fundamental principles and practical applications of these techniques, as well as the challenges associated with MPPT, such as coping with rapidly changing irradiance and partial shading scenarios.
An Overview of the most Common Vehicle Suspension Problems Ahmed Aboazoum
Brilliance: Research of Artificial Intelligence Vol. 2 No. 3 (2022): Brilliance: Research of Artificial Intelligence, Article Research November 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v2i3.1655

Abstract

The design of the suspension system, which transmits force between the vehicle and the ground, is principally responsible for the driving comfort of a vehicle. Importantly, a vehicle's suspension system contributes to the reliability and precision of steering and control, as well as to the friction between the vehicle and the road. The suspension system is also responsible for absorbing and dampening road stress, so that we do not feel every bump on the road when driving. Linkages, springs, and shock absorbers are the three fundamental types of suspension components. This paper introduced the most common suspension problems and the symptoms that may indicate you need a suspension system repair, where it turns out that there is a set of problems common to all vehicle suspension systems, such as poor wheel alignment, faulty shocks or struts, damaged springs, failing ball joints, and faulty control arms. Now as a conclusion of this paper, the reader can know the most common suspension system problems in vehicles and thus how to deal with these problems.
Use of Nano composites in industries Mohammed Ridha H Alhakeem
Brilliance: Research of Artificial Intelligence Vol. 2 No. 3 (2022): Brilliance: Research of Artificial Intelligence, Article Research November 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v2i3.1691

Abstract

High performance materials called Nano composites have unique features. Engineering plastics and elastomers are where Nano composites are most in demand, with an anticipated 25% annual growth rate. Their potential is so great that they are useful in many applications, from packaging to biomedical ones. The many forms of matrix Nano composites are covered in this review, with an emphasis on the need for these materials, their methods of manufacturing, and some recent findings regarding their structure, characteristics, and possible uses. The necessity for such materials in the future as well as other intriguing applications are projected. Applications of nano composites offer new technical and commercial potential for numerous sectors of the aerospace, automotive, electronics, and biotechnology industries because to their environmental friendliness.
Carbon Nanotube (CNT) Composites and its Application; A Review Mohammed Ridha H Alhakeem
Brilliance: Research of Artificial Intelligence Vol. 2 No. 3 (2022): Brilliance: Research of Artificial Intelligence, Article Research November 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v2i3.1692

Abstract

Due to their superior mechanical, thermal, electrical, and tri-biological characteristics, carbon nanotubes (CNTs) have been widely used in a variety of industries, from aerospace to energy, since their discovery in 1991. Their compact size, amazing tensile strength, and light weight They are often used as reinforcements in metals, plastics, and even additive manufacturing due to their popularity and conductivity. In this analysis, we present a list of these structures and an in-depth discussion of the CNT-reinforced materials can be processed using a variety of techniques, including chemical vapor deposition (CVD), ball milling, both laser melting and hot pressing. The restrictions in the production and processing of these composites additionally discussed, strengthened by many authored works. To comprehend how these composites' properties change in relation to other parameters, such as a wide range of variables, such as temperature, CNT length, diameter, etc. A summary is given, explaining various methods for performing experimental analysis and providing convincing arguments for putting the changes' causes in. Therefore, we investigate the specialized uses of these CNT-reinforced composites in industries like aerospace, energy, biomedicine, and auto, and how they can be handled further, altered to make room for less expensive and more effective fixes going forward.
Prevalence of HIV Infection among Health Care Workers in Major Health Care Settings in Eastern Part of Libya Salwa Muftah Eljamay; Emhamed Boras; Aziza. M.AGWIDA ALsheek; Rabie A Ali Elhsadi
Brilliance: Research of Artificial Intelligence Vol. 2 No. 3 (2022): Brilliance: Research of Artificial Intelligence, Article Research November 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v2i3.1696

Abstract

Health care workers (HCWs) who have occupational exposure to blood are at increased risk for acquiring blood-borne infections. Aims of the study: To determine the prevalence of HIV among HCWs in five major hospitals in the eastern part of Libya. Material and Methods: A cross-sectional study was conducted in a random sample; this study was done on 601 of HCWs healthcare workers in five major healthcare settings in the eastern part of Libya, during the period between July 2008 to June 2009 rapid methods for HIV, and enzyme-linked immunosorbent assay (ELISA) techniques method and polymerase chain reaction (PCR). A structured and anonymous questionnaire sheet was filled by each of the HCWs through direct personal interviews. After verbal consent 5-10 ml, a blood sample was extracted from each HCW. Results: The majority of HCWs (89.0%) were able to identify that HIV is caused by viruses and not by other microorganisms like bacteria or parasites. Although the majority of HCWs know that contamination with blood or blood products, unsterilized needles or surgical instruments, unsafe sex, folk behaviour like tattooing and piercing, and sharing personal items (e.g. toothbrush, razor, and nail scissors) are essential modes of transmission of these viruses, however many of them were falsely reported that sharing clothes, usage of same toilet and skin contact are also an important mode of transmission of these viruses. Moreover, most HCWs did not believe that the infected persons with these viruses may remain asymptomatic for a long time and always persist for one‘s whole life. More than one-third of HCWs were unaware of any available policy or procedure for reporting sharp injuries in their place of work. Moreover, the majority of HCWs (88.7%) do not use needle removers or needle cutters before disposing of injection pieces of equipment. Furthermore, half of the HCWs do not have sufficient quantities of sharps boxes to dispose of sharps safely in their workplaces. More surprisingly, more than half of the studied HCWs never attend any education or training programs on infection control and prevention during their previous work careers. As for HIV infection, it is almost non-existent (0.0%), Conclusion: The present study showed that no infection by HIV and the lack of educational programs and the lack of post-exposure documentation are concerns. A clear, thoughtful, well-planned and carefully structured risk reduction approach to hospital infection control is needed for this high-risk population.
An Overview of modeling of nano-composite materials and structures Mohammed Ridha H Alhakeem
Brilliance: Research of Artificial Intelligence Vol. 2 No. 3 (2022): Brilliance: Research of Artificial Intelligence, Article Research November 2022
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v2i3.1703

Abstract

The research conducted by many scientists and engineers on nanocomposite materials and continuous systems made from such materials will be reviewed historically in this article by the writers. Nano composites are a form of well-known composite material that has been improved by adding nanoscale fibers and/or particles for reinforcement. These materials may be more appropriate for industrial applications that require material qualities that are noticeably improved. In other words, because of the improved properties of materials at the nanoscale, the material properties of nanocomposites are superior to those of macroscale composites. Designers are using these materials more frequently than traditional composite materials as constituent parts in aerospace, mechanical, and automotive applications. In order to forecast how buildings made of these materials will behave under actual operating conditions, it is crucial to be aware of the research that has been done in this field. The mechanical analyses carried out on various nanocomposite structures, such as those reinforced with carbon nanotubes (CNTR), graphene (GR), graphene platelets (GPLR), graphene oxide (GOR), and multi-scale hybrid (MSH) nano-composite ones, will be reviewed in the sections that follow, along with the most significant aspects of the suggested scientific activities.
Evaluation and Modeling of the Car Speed Control Process using a PID Controller Faraj Ahmed Elzarook Barood; Abdulsalam Eshtaiwi
Brilliance: Research of Artificial Intelligence Vol. 1 No. 2 (2021): Brilliance: Research of Artificial Intelligence, Article Research November 2021
Publisher : ITScience (Information Technology and Science)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v1i2.1705

Abstract

Car speed is an essential attribute for analysing the utility of a transport mode. The speed relationship between multiple modes of transport is of interest to traffic planners and operators. Nowadays, the cruise control system has become a common feature of modern cars. A car control system helps in providing comfortability to the driver while driving long-distance travel. Using a car control system, travelling on the highways has become easier than before because it reduces the mental and physical stress caused by regularly monitoring the speed of the car and frequently pressing the gas pedal to maintain the speed. This paper is aimed at modelling a car control system and examining its characteristics based on the PID control strategy. Proportional-Integral-Derivative (PID) controller provides a great way to stabilize systems. It has the ability to change the response of the system to be stable and reliable when it is used for controlling systems. This system is actualized with the help of MATLAB for simulation and control purposes. The paper showed that without the use of the PID controller, the speed was stable after 100 seconds, and when the controller was used and self-turned, the speed was approximately stable at 20 seconds, and this shows the effectiveness of using the PID controller.

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