Journal of engineering sciences and information technology
The Journal of Engineering Sciences and Information Technology is an international, peer-reviewed, specialized, and indexed journal. Published quarterly (every 3 months) by the Arab Institute for Science and Research Publishing (AISRP) as part of its distinguished scientific series, the journal aims to enhance scientific research in engineering sciences and information technology fields, publishing high-value peer-reviewed engineering research to serve as a launching point for all students, researchers, and professionals interested in engineering sciences and information technology. The current Editor-in-Chief is Professor Dr. Eng. Bassam Mahmoud Al-Aji. The journal's coverage spans diverse domains: civil and structural engineering, mechanical and aerospace engineering, electrical and electronics engineering, computer engineering and software development, artificial intelligence and machine learning, cybersecurity and network systems, data science and analytics, renewable energy technologies, robotics and automation, telecommunications engineering, biomedical engineering, and emerging technological innovations. The publication aspires to catalyze technological advancement through disseminating cutting-edge research that bridges theoretical foundations with practical applications. Upholding rigorous international review standards, it guarantees publication of transformative studies that solidify its position as an essential resource for engineers, technologists, and innovators globally.
The Arab Institute for Science and Research Publishing (AISRP)
Edge AI for Real-Time Vision: Challenges, Limitations, and Future Research Directions
This survey synthesizes methods that enable real-time computer vision on edge hardware under tight latency, energy, and memory constraints. We conducted a systematic review of 150+ studies (2018–2025) spanning lightweight CNNs and ViTs, compression (pruning, quantization, distillation), compiler/runtime optimization, hardware acceleration (NPUs/TPUs/FPGAs), and edge–cloud collaboration. Across comparable settings, INT8 quantization typically yields 2–4× higher throughput and 2–5× lower energy than FP32; representative mobile backbones (e.g., MobileNetV3-L) achieve millisecond-level latency with competitive accuracy on NPUs; and hybrid CNN–ViT models offer a ~15–20% better accuracy–latency balance than pure CNN or ViT baselines when compiler fusion is effective. We also document trade-offs where preprocessing/postprocessing can account for 20–60% of end-to-end time, and cases where compression underperforms due to operator support gaps. Our unique contribution is a unified taxonomy aligned to practical deployment choices (model class × optimization × hardware), plus prescriptive “when-to-use-what” recommendations for mobile, embedded, and micro-edge targets. Recommendations: prefer INT8 with hardware-supported ops; pair hybrids with fusion-aware toolchains; budget for pre/post-processing; and consider split inference for heavy workloads.
Copyright (c) 2025 The Arab Institute for Science and Research Publishing (AISRP) https://creativecommons.org/licenses/by-nc-nd/4.0
Modeling and Simulation of Induction Motor- Submersible Pump System with V/f Algorithm under Stator Short Circuit (SSC) Fault
Three-Phase Induction Motors (IM) has been used widely in AC drives. Rotating machines, like IM's and Centrifugal Pumps (CP) including Submersible Pump (SMP), play a basic role in industrial applications as desalination stations and petro-chemical industries. This paper aims to study and design the mathematical model of Induction Motor-Submersible Pump (IM-SMP) system, and the simulation of the system done by using Matlab environment. We used V/f control algorithm for pump speed regulation. We presented a study and simulation of Stator Short Circuit (SSC) fault of induction motor. We used a mathematical Sequence Analysis technique for detection the SSC fault. The simulation results showed ability and efficient of drive system algorithm for achieving the research goals, such as regulation of pump speed at different load torques, and overcoming some system faults such as, no load pump operation, and SSC fault. The simulation results showed the current, speed, torque and flow rate waveforms compared with a healthy motor state. The simulation results showed a variation on the negative component in sequence analysis as pointer to SSC fault.
A Comparative Study of Safer Electrical Systems in Developing Countries-Quantitative Approach in Egypt and Iraq
This study presents a comparative quantitative analysis of electrical safety systems in developing countries, using Egypt and Iraq as case studies. The objective was to evaluate critical factors influencing electrical safety and identify areas for improvement by comparing practices with those in industrialized nations. Structured questionnaires were distributed to 156 chartered engineers, certified electricians, and lecturers, of which 122 valid responses were collected (response rate = 78.2%). The survey measured the perceived significance of five variables—installation codes and standards, product standards and economic factors, inspection and testing enforcement, risk attitude and cultural factors, and educational and training factors-using a 5-point Likert scale. Statistical analyses, including Chi-square (χ² = 525.75, p < 0.001) and ANOVA (F = 261.02, p < 0.001), confirmed significant differences in importance among factors. Educational and training aspects received the highest rating (91.8% “very important”), whereas risk attitude and cultural factors ranked lowest (6.6%). Reliability analysis yielded a Cronbach’s α of 0.76, indicating moderate internal consistency. Additional data from 42 lecturers identified deficiencies in training units on “Inspecting, Testing, and Commissioning” (17%) and “Ensuring Safe Site Working” (22%). The findings underscore that enhancing vocational education, revising inspection frameworks, and enforcing safety codes are pivotal for reducing electrical hazards. The study recommends reforming technical training curricula, strengthening enforcement capacity, and promoting intersectoral collaboration to achieve sustainable safety improvements in developing contexts.
Improving the Mechanical Properties of Hypereutectic Al–14%Si Alloy by Adding Alumina Particles of Different Sizes Using the Taguchi Method
This study examines how adding 3 weight percent Al2O3 particles with different particle sizes (25 μm, 50 μm, and 100 μm) using the stir casting technique can improve the mechanical and tribological characteristics of a hypereutectic Al–14%Si alloy. To create the composites, preheated Al2O3 particles were evenly distributed throughout the molten Al–Si alloy and solidified carefully. Vickers hardness and pin-on-disc dry sliding wear tests were used to assess the mechanical performance, whereas optical microscopy (OM), scanning electron microscopy (SEM), and X-ray diffraction (XRD) were used to characterise the microstructures. The Taguchi L9 orthogonal array design was used to systematically optimise the experimental parameters, such as the particle size, applied load, and sliding time. The effects of these parameters on the wear behaviour were examined using ANOVA. The finest 25 μm particles achieved the most uniform distribution and the highest hardness of 110 HV, compared to 92 HV for the unreinforced alloy. The results showed that the addition of Al₂O₃ significantly improved the particle–matrix interface and refined the grain structure of the composites. A strong correlation between increased surface hardness and decreased wear rate was confirmed by the wear resistance, which significantly improved as the particle size decreased. According to the statistical analysis, the most important factors influencing the wear rate were particle size, applied load, and sliding time. This study demonstrates how optimising the particle size can improve the performance of Al–Si– Al2O3 composites. High wear resistance and durability are crucial for demanding applications in automotive, aerospace, and industrial components, and these composites show great promise owing to their fine particle reinforcement and optimised processing conditions.
Sustainable Tourism Planning in The Kingdom of Saudi Arabia
This study aims to analyze the integration of sustainable tourism principles into resort planning in the Kingdom of Saudi Arabia, focusing on the environmental and social challenges arising from the rapid growth of the tourism sector. A qualitative case study approach was adopted, involving the analysis of national strategy documents and semi-structured interviews with tourism experts and planners. The findings indicate that the application of sustainability principles remains inconsistent, with key challenges including weak institutional coordination and limited community participation in planning processes. The study demonstrates that early integration of sustainability enhances the long-term success and effectiveness of tourism projects. It recommends strengthening collaboration among stakeholders, developing clear regulatory frameworks to support sustainable tourism standards, investing in digital infrastructure, and training human resources. These results contribute to achieving the goals of Saudi Vision 2030 by balancing economic development with the preservation of environmental and social resources.
Table of Content: Sustainable Tourism Planning in The Kingdom of Saudi Arabia Eng. Ashraf Fawzy Hassan Improving the Mechanical Properties of Hypereutectic Al–14%Si Alloy by Adding Alumina Particles of Different Sizes Using the Taguchi Method Eng. Farah. Ammar Ibrahim ,Prof. Zeyad D. Kadhim ,Prof. Mohammed Abdulraoof Abdulrazzaq A Comparative Study of Safer Electrical Systems in Developing Countries-Quantitative Approach in Egypt and Iraq Dr. Hassan Kassem, Dr. Tariq Yousef Bishtawi Modeling and Simulation of Induction Motor-Submersible Pump System with V/f Algorithm under Stator Short Circuit (SSC) Fault Dr. Ahmed Mohammad Khier Alkaoud Edge AI for Real-Time Vision: Challenges, Limitations, and Future Research Directions Eng. Zamo Rzgar Ahmed
Journal of Engineering Sciences and Information Technology
Smart Recommendation System for Tourists
This study aims to develop a smart recommendation system that assists tourists in selecting their travel destinations based on personal interests, by integrating artificial intelligence techniques in analyzing preferences and reviews. A comprehensive scientific methodology was adopted, beginning with the identification of user needs, followed by data collection on tourist attractions and user evaluations, and culminating in the design of a smart recommendation model based on the Matrix Factorization algorithm within the ML.NET framework. Context awareness was incorporated to enhance the precision of suggestions. The system was developed using ASP.NET Core MVC and SQL Server, which contributed to the efficiency of the recommendations and improved user interaction. The proposed model demonstrated significant superiority in recommendation accuracy compared to traditional systems, helped reduce the confusion caused by an overload of options, and increased user satisfaction—affirming its effectiveness in supporting informed tourist decision-making and guiding travelers toward more personalized and satisfying experiences.
Integration of Industrial and Surgical Robotic Systems: A Case Study of Combining the SCARA Robot with the Da Vinci Robot
Objectives: The field of robotics is rapidly evolving toward more precise, flexible, and cost-effective solutions in industrial and medical environments. This study explores the potential of integrating a Selective Compliance Assembly Robot Arm (SCARA) (Revolute-Prismatic-Revolute-Revolute) (RPRR), known for its high speed and precision in repetitive horizontal and vertical movements used in industrial or assistive tasks such as handling instruments, with the da Vinci surgical robot, which is characterized by its high-precision control and ability to perform precise and complex movements in surgical procedures. This integration aims to design a hybrid system that leverages the characteristics and advantages of both industrial and surgical robots, with the goal of opening new horizons in precision automation, particularly in the fields of biomanufacturing and complex surgical procedures. It seeks to leverage the characteristics of each robot to enhance work efficiency, reduce operating time, and increase the level of precision, safety, and adaptability to advanced, highly sensitive environments. Methods: This study builds a prototype demonstrating the communication and mutual control mechanism between the SCARA robot, which is characterized by its precision and speed in horizontal and vertical movements, and the surgical tools of the da Vinci robot, which perform complex and precise surgical movements inside the patient's body. The main goal of the proposed robot is to combine the performance stability of industrial robots with the flexibility and precision of surgical robots, paving the way for the development of low-cost robots that combine the advantages of industrial and surgical robots to perform surgeries with high efficiency. Results: The SolidWorks simulation environment was used to analyze the motion of the robotic arm proposed in this research. The motion transmission mechanism was studied through the torque required to move the joint and the joint's angular motion. Experimental results demonstrated a 20-fold increase in torque at the third joint (9600 N.mm compared to the required torque of 8550 N.mm), with arm movement from 0° to 90° in approximately 2.2 seconds. and a 123% factor of safety (F O S) was achieved for the second joint.
Smart Tourism and Environmental Sustainability: A Descriptive and Analytical Case Study of Saudi Arabia
The study explores the role of smart tourism in promoting environmental sustainability by leveraging modern technologies to reduce environmental impact and improve destination management. It emphasizes the need to develop infrastructure and regulations to advance this sustainable approach. Objectives: The study aims to explore the integration between smart tourism and environmental sustainability by analyzing its technologies and role in reducing environmental impact, evaluating global experiences, and proposing practical mechanisms to support the achievement of sustainable development goals. It also addresses challenges and ways to enhance environmentally responsible behavior through smart technologies. Methods: The research adopts a descriptive-analytical approach to examine smart tourism and its environmental impact by reviewing relevant literature and international case studies, analyzing quantitative and qualitative data, and comparing traditional and smart models to provide a comprehensive vision that supports environmental sustainability. Results: The study’s findings confirm that smart tourism effectively contributes to environmental sustainability by enhancing resource efficiency, enabling digital monitoring of environmental impacts, and promoting responsible tourist behavior. It also highlights the importance of supportive legislation and global experiences in fostering sustainable environmental innovation. Conclusions: Integrating smart tourism with environmental sustainability is a strategic necessity to enhance resource efficiency and protect the environment, requiring digital infrastructure, updated regulations, and continuous environmental awareness.
Surface Analysis Using Cloud Computing: An Applied Study on the Google Earth Engine Platform
Objectives: This study aims to retrieve a digital elevation model (DEM) and perform surface analyses using Google Earth Engine (GEE) as a free and open-source cloud-based platform. It seeks to highlight the efficiency and capability of GEE in processing and analyzing large-scale spatial data without relying on advanced local computing resources or licensed software. The study also aims to enrich the Arabic scientific literature with research focused on GEE applications. Methods: A descriptive-analytical approach was applied to Saudi Arabia through surface analyses including hillshade, slope, slope classification (Young, 1997), area and percentage of each class, aspect, and contour lines at 200 m and 500 m intervals, using the open-source SRTM30 DEM via GEE. Results: Seven maps were produced to represent the surface analyses of the study area, namely: elevation, hillshade, slope, slope classification according to Young (1997), aspect, and contour lines at 200 m and 500 m intervals. These layers underwent basic processing, including tile merging into a unified raster, color gradient adjustment, and final map layout using ArcGIS Pro. A table was also prepared showing the area of each slope class. Conclusions: The findings confirm that GEE offers a practical alternative to traditional software for performing surface analyses across large geographic extents due to its cloud-based capabilities and access to open data. The post-processing steps were simple and can also be performed efficiently using open-source GIS software such as QGIS, supporting the use of flexible and cost-free tools in spatial research, especially in academic environments with limited resources.
:Table of Content The impact of the Vision 2030 projects on contemporary architecture: Analytical study of Saudi architecture map Eng. Nazar Mohamed Elkheir Mohamed Osman Surface Analysis Using Cloud Computing: An Applied Study on the Google Earth Engine Platform Dr. Nadiah Awad Al-Safri Smart Tourism and Environmental Sustainability: A Descriptive and Analytical Case Study of Saudi Arabia Eng. Ashraf Fawzy Hassan Integration of Industrial and Surgical Robotic Systems: A Case Study of Combining the SCARA Robot with the Da Vinci Robot Asst-Prof. Lara Fathi Kadid, Lecturer. Hasan Khaled Kazzaz, Eng. Mohamad Adib Mohamad Taki Eddin Issa Smart Recommendation System for Tourists Nour Abd Alhameed Khallof, Dr. Majida Albakoor
The impact of the Vision 2030 projects on contemporary architecture: Analytical study of Saudi architecture map
This study aims to explore the impact of the Saudi Vision 2030 projects on contemporary architecture and to demonstrate the importance of contemporary architecture in preserving national identity. Its significance stems from the Kingdom of Saudi Arabia's Vision 2030, launched by His Royal Highness Prince Mohammed bin Salman, which has had a clear impact on improving the quality of contemporary architecture through large projects such as the Public Investment Fund projects, NEOM, the Red Sea projects, and the tourism sector. These contribute to creating innovative designs that enhance the quality of innovation and strengthen national identity by integrating national heritage, resulting in an urban scene with specifications and contemporary Saudi architectural designs. In this research, we present an analytical study of the map of Saudi architecture, illustrating how the Kingdom of Saudi Arabia combines contemporary and traditional architecture under Vision 2030 and how the projects of this vision contribute to the future of contemporary architecture. I relied on a questionnaire as a data collection tool, distributing it to citizens in areas where the map of Saudi architecture was implemented, with a sample size of 150 citizens, of which 82% were male and 18% female. The statement regarding the impact of the Kingdom's Vision projects on architecture received a high percentage, followed by Saudi architecture map.
Large Language Models in Intellectual Discourse: An Empirical Evaluation of Performance
Large language models (LLMs) have witnessed a qualitative leap that enables them to generate long, coherent texts with advanced contextual understanding and reasoning. Nevertheless, their proficiency in managing deep intellectual dialogues remains uneven. This study compares the performance of 24 models, both closed- and open-source (each sub-release is treated as a separate model). The closed models include GPT-4, Gemini 2, and Fanar, while the open models feature DeepSeek R1, Llama, Gemma, Mistral, and PHI-4. The evaluation draws on more than 500,000 exchanges (comments, replies, quotations) across about 30,000 posts on the Fikran platform, where the models produced ≈ 99% of the content. Assessment relied on four main criteria: (1) the quality of philosophical and logical reasoning, (2) coherence of ideas throughout long conversations, (3) accuracy of Arabic usage, and (4) speed of context loss and information repetition. Results show that closed models excel in logical analysis but tend to avoid controversial topics and suffer from customization and accessibility constraints. Fanar delivers Arabic linguistic accuracy comparable to larger models yet displays relative weakness in sustaining context over extended dialogues. Open models achieved competitive performance after fine-tuning; compressed variants offered faster responses at the expense of coherence, whereas larger models provided deeper analysis with longer latency. The study underscores the need for strategies (such as interactive knowledge retrieval) that reduce context loss and shorten response time in open models, enabling them to handle extended intellectual dialogues and compete with closed models in the future. Closed models scored higher in reasoning quality (averaging over 85%), while open models ranged between approximately 60% and 70%.
Copyright (c) 2025 Arab Institute of Sciences & Research Publishing - AISRP https://creativecommons.org/licenses/by-nc-nd/4.0
The Effect of Iron Slag Powder Addition on the Performance of Self-Compacting Concrete
This study aimed to utilize iron slag as a cementitious binder in varying proportions (5%, 10%, 15%, 20%, and 25%) by weight of ordinary Portland cement (42.5 KN). To achieve this, the iron slag was ground to match the fineness of cement and subsequently replaced in the designated proportions. Laboratory experiments were conducted on self-compacting concrete to assess the impact of iron slag addition on its properties in both fresh and hardened states. In the fresh state, performance was evaluated using tests such as the slump flow test, J-Ring test, and others. In the hardened state, the compressive strength of concrete cubes was measured at different curing ages (7 and 28 days), along with the absorption test, providing insights into the relationship between permeability and concrete durability. This study contributes to industrial waste reduction by repurposing iron slag instead of disposing of it in open sites, thereby conserving vast land areas and mitigating environmental impacts. Additionally, it offers a local alternative to imported materials. Despite the use of a lower water-to-cement ratio (0.42) compared to conventional concrete (0.45–0.375), the results confirmed the efficiency of this concrete type, demonstrating satisfactory mechanical and engineering properties. The findings indicated that incorporating iron slag enhances concrete workability, reduces bleeding, and improves mix homogeneity and resistance to segregation. Moreover, its inclusion increases compressive strength by reducing permeability. The study concluded that replacing 10–15% of cement with iron slag produces high-performance concrete while minimizing environmental impact, making it a viable option for sustainable construction, particularly in heavily reinforced structures or those exposed to chemical environments.
The Role of the ChatGPT AI Application in Enhancing the Performance of Computer Trainers at the Technical College in Mecca
This study aimed to examine the impact of using the ChatGPT application in developing the training performance of computer trainers at the Technical College in Makkah. To achieve this objective, the researcher employed the descriptive analytical approach and designed a questionnaire consisting of (18) items distributed across five main axes: use of ChatGPT in training, educational interaction, training efficiency, technical challenges, and perceived positive effects. The instrument was applied to a sample of (40) trainers. Data were analyzed using frequencies, percentages, means, standard deviations, Pearson correlation coefficient, and simple linear regression analysis. The results revealed that the use of ChatGPT has a clear positive effect on enhancing training performance, particularly in improving content quality and increasing interaction. The findings also indicated a high level of awareness among trainers regarding the positive effects of the application, while technical challenges were not statistically significant. The study recommended integrating artificial intelligence tools into technical training environments and providing training programs to support their effective use.
Table of Content: 1. The Role of the ChatGPT AI Application in Enhancing the Performance of Computer Trainers at the Technical College in Mecca Eng. Sami Munahi Al-Meqati 2. The Effect of Iron Slag Powder Addition on the Performance of Self-Compacting Concrete lecturer \ Haifa Ali Abu Haliga, Abdul Hadi Mohamed Alebrahim, Hamed Munir Al-Mobaid 3. Large Language Models in Intellectual Discourse: An Empirical Evaluation of Performance Dev \ Abdennacer Elbasri
Sustainable Community participation in heritage conservation plans: A systematic literature review comparing international frameworks with practices
This paper presents a systematic literature review on international frameworks for community participation in heritage conservation, focusing on the practical application of these frameworks in Hong Kong and Macao. The review examines the key elements of Arnstein’s Ladder of Participation and the ICOMOS Burra Charter, assessing their effectiveness in promoting community inclusivity, values-based management, and sustainability in heritage conservation. The findings indicate that the Burra Charter provides a clear, values-based framework for managing heritage sites, promoting cultural preservation through inclusive stakeholder engagement. In contrast, Arnstein's Ladder offers a community-driven approach, encouraging local involvement and empowerment but faces challenges in environments with limited regulatory flexibility. This paper highlights the diverse approaches to community engagement in heritage conservation, with Macao demonstrating a more inclusive, empowering model compared to Hong Kong’s consultative model. Based on these findings, this study provides strategic recommendations for improving community participation frameworks, contributing to more equitable, inclusive, and sustainable heritage conservation practices globally.
Improvement of Cooperative Spectrum Sensing in Rayleigh Fading and AWGN Environments for Cognitive Radio Networks
Cognitive Radios (CRs) improve spectrum efficiency by tracking users' movements using spectrum-aware devices. However, inadequate spectrum sensing can cause interference and incorrect detection. This paper explores cooperative spectrum sensing using OR-rule's detection performance in AWGN and Rayleigh fading channels, revealing that cooperative spectrum sensing only slightly improves detection in low signal-to-noise ratio situations. The authors propose an adaptive threshold method for CRN receivers, which outperforms fixed threshold approaches and reduces sensing errors in low SNR situations, highlighting the effectiveness of adaptive thresholds in improving CRN sensing performance to improve detection efficiency. The study uses MATLAB to analyse the relationship between signal to noise ratio (SNR), detection probability, and false alarm probability. Results show that adaptive detection thresholds improve detection efficiency, especially in low SNR cases, addressing the issue of interference and enhancing detection accuracy.
Transformation of Safety Management in Mega Projects: Exploring the Impact of Smart Technology and Digitization on Performance and Safety in The Kingdom of Saudi Arabia
This study discusses a comparison between traditional safety management and smart safety management in light of digital transformations, focusing on major projects in Saudi Arabia, such as NEOM, the New Square, and the sports venues planned for the 2034 World Cup. The study aims to explore how modern technologies like artificial intelligence and the Internet of Things can improve safety standards and reduce risks. A descriptive analytical approach was adopted to collect data through surveys and interviews with safety management experts, in addition to analyzing related documents. Results showed that 75% of participants consider smart safety management more effective, contributing to improved efficiency and reduced accidents. However, key challenges were identified, such as high costs and cyber threats, which hinder the implementation of this management. The study emphasizes the necessity of applying smart safety management to ensure the success of major projects and achieve sustainability, recommending the development of strategies to address challenges related to costs and training.
Leading Innovation Using Artificial Intelligence in Higher Education Institutions: A Systematic Review to Analyze Strategies and Challenges
This study aimed to explore how artificial intelligence (AI) can be utilized to drive innovation in higher education institutions. The study adopted a systematic review methodology of relevant scientific literature published during the period from 2018 to 2024, using databases such as Scopus, ScienceDirect, and SpringerLink. A total of 15 studies were reviewed. The findings revealed that AI supports innovation through tools such as adaptive learning systems, predictive data analytics, and administrative automation, which contribute to enhancing efficiency and improving educational outcomes. However, higher education institutions face challenges, including insufficient infrastructure, lack of regulatory frameworks, and issues related to privacy and algorithmic bias. The study concluded with the importance of developing technological infrastructure that aligns with AI requirements, establishing comprehensive regulatory frameworks to ensure the effective and responsible use of intelligent technologies, and providing training programs for leaders and faculty members to enable them to maximize the potential benefits of these technological advancements.
Challenges of implementing sustainable design and construction in building projects in Kuwait
The research examines the challenges of implementing sustainable design and construction in modern buildings in Kuwait and assesses the need for adopting sustainable architectural systems in the country. It also evaluates the governmental, societal, and institutional performance regarding this application. The significance of the study lies in raising awareness among stakeholders in construction projects about the importance of applying sustainable design in building projects in Kuwait. It highlights the difficulties that hinder the implementation of sustainable design and construction, as well as practical solutions to overcome them. The study follows a descriptive-analytical methodology using both quantitative and qualitative data, with a questionnaire used as a tool to collect responses. The study findings indicate a moderate level of awareness and knowledge about the benefits of applying sustainability in construction and design, averaging 48%. The absence of laws that mandate and regulate sustainable construction was identified as one of the most significant barriers, with a relative importance of 96.4%. Other major obstacles included reluctance to change traditional construction methods (95.6%), lack of incentives for sustainability application (92.6%), and absence of institutional support for implementation (89.4%). Additionally, there was limited knowledge about integrating sustainability into design and construction, its cost impact on projects, and post-construction maintenance methods, with a relative importance of 86.4%. The study recommends increasing public awareness about the benefits of sustainable design and construction, integrating sustainability principles into education and training, and providing governmental and institutional support to encourage its adoption. It also suggests offering incentives for projects that comply with sustainability standards, mandating institutions to assess the environmental impact of projects, developing environmental legislation, and creating a sustainability classification system suitable for Kuwait. Furthermore, it proposes establishing a geographic database for sustainable projects, developing a detailed guide on applying sustainability at different project stages, and adopting participatory methodologies to exchange expertise in sustainability. Additional recommendations include requiring new buildings to install solar energy systems covering at least 30% of their energy needs.
Table of Content: 1. Challenges of implementing sustainable design and construction in building projects in kuwait Eng. Mohamed Ezzat Elnakhely, Eng. Faisal Sadeq Alhawaj 2. Leading Innovation Using AI in Higher Education Institutions: A Systematic Review to Analyze Strategies and Challenges Mr. Sami Munahi Almeqati 3. Transformation of Safety Management in Mega Projects: Exploring the Impact of Smart Technology and Digitization on Performance and Safety in Saudi Arabia Dr. Mohammad Abdullah Barnawy ,Dr. Samiyah Rafan Althaqafy ,Mr. Faris Omar Batawi 4. Improvement of Cooperative Spectrum Sensing in Rayleigh Fading and AWGN Environments for Cognitive Radio Networks Eng. Rayan Abdelazeem Haboub, Prof. Khalid Hamid Bilal 5. Sustainable Community participation in heritage conservation plans: A systematic literature review comparing international frameworks with practices Eng. Ghada Fathy Abdel-Fattah, Prof. Muhammad Ibrahem Gabr, Co-Prof. Mohamed Ezzeldin
Requirements to Improve the Technical Support at Umm Al-Qura University (2019) (Concept Proposal)
This paper aims to examine the requirements for improving technical support services at Umm Al-Qura University in 2019, focusing on all stakeholders who benefit from these services, including (faculty members, students, and administrative staff) and the technical support team. To gather insights on the challenges faced by these stakeholders, the study employed two methods: direct interviews with experts and electronic surveys. The findings revealed several issues, including difficulties in communication between beneficiaries and technical support, a lack of documentation regarding the support team's activities, and an inability to assess beneficiary satisfaction with the provided services. In response to these challenges, the proposed concept is the development of a mobile application designed to facilitate requests for technical support, thereby enhancing communication among all stakeholders and the technical support team. This application will provide numerous benefits, such as documenting the workflow of the support team, which will allow for the analysis of performance, productivity, and verification of user satisfaction. Additionally, the application aims to streamline the educational process and create a learning environment equipped with effective technological solutions, backed by a dedicated technical support team, The researcher recommends Implementing a user-friendly smartphone application for requesting technical support, Organizing specialized training sessions on how to use the application for technical support services and Providing internet access across the university to facilitate technical support requests when needed.
Copyright (c) 2024 Arab Institute of Sciences & Research Publishing - AISRP https://creativecommons.org/licenses/by-nc-nd/4.0
Review on building energy effeciency through optimized building envelopes
Energy-efficient building envelopes consider material thermophysical properties and wall section configuration to optimize energy consumption for cooling and heating in response to climate. A review of 80 papers revealed that published information on this subject is diverse, contains inconsistencies in findings, and shows contradictory results. Therefore, hypothesizing a suitable building envelope for efficient year-round performance per climate is difficult through published literature alone. The aim of this paper is to identify trends and gaps in studies regarding efficient year-round building envelopes. Relevant literature published from 1997 to 2023 was reviewed. A data extraction process was used to organize performance parameters of thermal insulation and thermal mass. The relationships between climate, wall configuration, and thermophysical properties in published experimental studies were then analyzed. Results of static thermal insulation investigations revealed a trend where the most common placement is interior or embedded, however inconsistencies in results were found depending on climate. Dynamic insulation is predicted to show promising results, although it is a novel solution under research. Moreover, multilayer walls of thermal insulation and thermal mass show better mitigation for thermal discomfort in climates with high diurnal fluctuation compared to other climates. Furthermore, latent heat storage using Phase Change Materials (PCMs) was found to be more advantageous than sensible heat storage. This study highlights future potential research on building envelopes in different climates and microclimates and their respective thermophysical properties requirements.
Investigating the Water Demand and Supply Situation in Baljurashi Governorate, Saudi Arabia
This study examines the water demand and supply situation in the Baljurashi Governorate of Saudi Arabia during 2018, along with the anticipated changes in these dynamics as a result of upcoming project scenarios from 2018 to 2030. The Water Evaluation and Planning Tool (WEAP) model was utilized to analyze both current and projected domestic water distribution in the region through 2030. Initially, an assessment of current water demand and supply for household use was conducted. Relevant data were collected from a local branch of the Ministry of Environment, Water, and Agriculture (MEWA) in Baljurashi Governorate. This data was input into the WEAP model, which then produced projections for water demand, supplied resources, and unmet needs based on the reference scenario pertaining to the current accounting year. The findings revealed no unmet water demand, according to the model results. To enhance future water availability, the expansion of the Um-ghaith reservoir as a new water source is to be taken into consideration.
Evaluation of design quality and its impact on execution in private housing projects in Kuwait
Various technical challenges have emerged during the construction phase of private residential buildings. Some of these issues have been attributed to low design quality. This study focused on evaluating the quality of private residential design, the factors affecting design quality, the impact of these factors on project execution, and strategies to enhance quality during the planning and design phases. The study utilized previous research, expert interviews, and an analytical descriptive approach The study used quantitative and qualitative data, where case studies of private housing projects in Kuwait were analyzed, Quantitative data were also collected by using a questionnaire as a tool to obtain responses from the sample of project parties. The results of the study showed the low level of design and its documents in private housing projects in Kuwait. It contributed to delaying the execution of projects by an average percentage of 51.8% of the total factors, while it contributed to increasing the cost of projects by an average percentage of 39.3% of the total factors. Design deficiencies were linked to multiple factors attributed to the project consultant: inadequate technical efficiency, poor coordination, lack of project review, insufficient project details, and reuse of designs from similar prior projects. Contributing factors on the client’s part: an inability to clearly define project requirements due to limited owners’ experience, consultant selection based on cost rather than qualifications, and late design changes during the execution phase. Other less impactful factors: weak communication among project stakeholders, insufficient time allocation for the design phase, and the absence of a unified local design code. A comprehensive framework of recommendations was developed with key suggestions: the activation of continuous monitoring and assessment of consulting offices, establishment of comprehensive approach to design quality evaluation, requiring design teams to obtain practice licenses from the Kuwait Society of Engineers based on skill assessments, promoting awareness among clients regarding consultant selection criteria.
Preparing a cost control plan for a contracting company VR:00 (05-2019)
Objectives: Spreading knowledge about how to control project costs during its implementation. Methods: Starting with an introduction to the concept of the cost control plan and its difference from accounting books that do not give results about the project status until after completion. The research shows the relationship between the cost control plan assigned to the project implementation phase and the value engineering that it includes in addition to the design and operation phase. It deals with explaining the cost control cycle (cost estimation - budget - monitoring - analysis - correction - re-estimation) and supporting it in a developed explanatory manner that shows the relationships between the parties participating in it (site, warehouses, contracts, accounts, equipment and machinery, project management, financial management, senior management). Then it explains the application mechanism by identifying cost centers and the cost baseline, then monitoring costs of all types (materials, equipment, labor, contractors, services, miscellaneous expenses, etc.) And controlling them according to models attached at the end of the research, then comparing, analyzing and updating using technical tools, especially the earned value and the cost performance factor. A table was attached that shows the project status according to the technical indicators, as well as a typical cash flow chart showing the technical value discrepancies taken from one of the references. Results: Available expertise and business models were collected and authenticated from references, and an Excel program was created to calculate the discrepancies between the acquired and targeted values, calculate the technical performance factors to predict the project status upon completion, and calculate the remaining cost estimate in order to make recommendations. Conclusions: Obtaining a document of procedures and models for a simplified project implementation cost control plan suitable for contracting companies.
Deductive analysis for Municipalities of Baghdad city, within the healthy city program
The city of Baghdad is constantly expanding due to its high population being the capital of Iraq. Today, more than ever, it faces serious challenges with regard to the quality of life in the urban environment, such as the conservation of water sources, waste treatment, noise, the preservation of green spaces, etc., as well as considerations directly related to the urban individual, i.e. low levels of public health, low levels of age and widespread poverty. This research presents a methodology proposal to achieve the objectives of the health city in the city of Baghdad, where it linked the achievement of the urban health system and the efficient management of municipal services to reduce pollution in the capital Baghdad and improve the health of its residents. The research reviewed the definitional concepts of the health city, its objectives and the most important tools, and also reviewed the most important previous studies in the field of health city indicators The research analyzed in the practical applied part the municipalities of the city of Baghdad under indicators that were extracted from the data of the health file of the city of Baghdad were presented to a sample of experts between architects and city planners to determine the most affected municipalities by these indicators, and reached results that identified weaknesses in the municipal service of each of these municipalities. The research followed the deductive approach to analyze the municipalities of the city of Baghdad during a specific period of time, and has reached a final conclusion that the first and second Sadr municipality indicates a wide imbalance in the services related to the health of individuals, and put his recommendations regarding the development of municipal administration to achieve the goals of the urban health system for all municipalities of Baghdad and the municipality of Sadr first and second specifically.
Designing a Hybrid System based on between Deep learning Network with Face Detection algorithm for Emotion Recognition through Facial Features Analysis
Objectives: In recent years, the demand for automatic emotion recognition systems has increased for use in various fields, including efforts to modify an individual's mood to improve mental health, as well as assisting in identifying the emotions of children with autism spectrum disorder who struggle to express their emotional states. Deep learning networks are linked with face Detection algorithms. If a deep learning network is used alone, any object detected in the image will be considered as a face and will be processed to determine whether it has emotions or not. This results in high computational complexity, very high response time, and low accuracy if there is more than one face in the same image. Methods: In this research, images were first introduced into the Fer-Net convolutional neural network after performing some preprocessing operations. The Fer-Net was selected after experimenting with several other CNN. Facial features were then extracted from the network, and these extracted features were classified into four basic emotions. Additionally, several standard databases were tested individually, such as FER-2013 and AffectNet, for training and evaluating the network. Subsequently, the previous databases were merged with other databases like RAF-DB and CK+ to increase the number of training samples and evaluation samples in order to avoid the issue of overfitting. Finally, we linked facial detection with the classification network obtained from the trained model using the MTCNN algorithm to identify the faces present in the image before analyzing the facial features and determining the emotions extracted from them. Results: First, Data Augmentation was implemented on the data in standard database (Fer-2013), and the overfitting problem was resulted.
A Glimpse into the Future of Quantum Computing and AI
This research examines the transformative potential unlocked by the convergence of Quantum Computing and Artificial Intelligence, two pioneering technologies poised to drive unprecedented breakthroughs in fields such as healthcare, finance, and supply chain management. The integration of these technologies represents a gateway to a new era of innovation, surpassing the limitations of traditional systems. This fusion delivers unmatched speed, efficiency, and scalability in addressing complex challenges. By harnessing the core principles of quantum mechanics, quantum computing enables AI to process vast datasets and solve problems that would take conventional systems centuries to complete. Despite these considerable advantages, this progress faces challenges related to system security and ethical considerations. Additionally, geopolitical competition could reshape global power dynamics. The research concludes with an optimistic vision for the future of Quantum AI, predicting remarkable advancements by the 2040s that could pave the way for a smarter, more efficient, and sustainable future for all.