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Toward an Integrated Intelligent Framework for Crowd Control and Management (IICCM)

Research Abstract

Managing large-scale gatherings, such as global festivals, sporting events, and religious congregations, presents substantial challenges in ensuring crowd safety and control. Innovative frameworks are essential to address these complexities effectively. The Integrated Intelligent Crowd Control and Management (IICCM) framework combines cutting-edge technologies, including Computer Vision (CV), Artificial Intelligence (AI), and the Internet of Things (IoT), to enhance participant safety and optimize crowd management. CV enables precise real time identification and tracking, AI analyzes crowd behavior to anticipate risks, and IoT gathers environmental data to improve crowd flow, alleviate congestion, and provide timely assistance. Additionally, the framework facilitates emergency evacuation planning by modeling crowd dynamics and identifying safe, efficient escape routes. Although suitable for diverse events, the Hajj pilgrimage—a uniquely large and dynamic annual gathering—provides a rigorous test case for the IICCM framework. Managing millions of participants from varied cultural and linguistic backgrounds highlights the system’s adaptability and robustness. By effectively addressing Hajj specific challenges, the IICCM framework demonstrates its scalability and applicability to other large-scale events. This research offers valuable insights for decision-makers seeking to implement advanced crowd management technologies.

Research Authors
Tarik Alafif, Mohammad Jassas, Alaa E Abdel-Hakim, Ghada Alfattni, Hassan Althobaiti, Mohammed Ikram, Amirah Alharbi, Hussam Alsharif, Mazin Alshamrani, Ebtisam Alharbi, Tahani Alsubait, Abdullah Alhawsawi, Badr Alsolami, Khalid Khayyat
Research Date
Research Department
Research Journal
IEEE Access
Research Member
Research Publisher
IEEE
Research Rank
International
Research Year
2025

Performance assessment of green hydrogen generation using concentrated system of photovoltaic panel with compound parabolic concentrator

Research Abstract

Theoretical work for concentrated solar-operated green hydrogen production system using compound parabolic
concentrator (CPC) integrated with solar photovoltaic (PV) cells driving proton membrane electrolysis (PME)
was developed, analysed, and evaluated under winter and summer conditions. Mathematical models for the
system components, including the CPC-PV integrated unit and the electrolyzer, were developed and solved. Key
system performance parameters were also evaluated. The system of equations was solved using MATLAB. Results
of the mathematical model show that for 1 m2 of the PV panel, the hydrogen production flowrate reaches a peak
on 0.0175 kg/h in summer and 0.0144 kg/h in winter, while the CPC-PV system power output can reach up to
607 W in summer and 590 W in winter. The PV efficiency in the CPC-PV system increases to about 14.75 % in
both seasons. Additionally, the overall system shows a summer and winter efficiency of nearly 13 % with a slight
variation between both seasons. The minimum achieved cost of hydrogen production of the system during
summer and winter is $0.17/kg and $0.271/kg, respectively at concentration ratio of 5. The system shows
promising performance under operation of different concentration ratios provided by CPC-PV system, highlighting
the system ability to enhance the production of green hydrogen gas cost effectively.

Research Authors
Rania S. Nada, Hamdy Hassan
Research Date
Research Journal
Solar Energy
Research Pages
113826
Research Publisher
Elsevier
Research Vol
300
Research Year
2025

Enhancing the performance of low-concentrated solar panel/thermal system via an indirect passive cooling system of phase change material with water

Research Authors
Ramadan Gad, Hamdy Hassan
Research Journal
Applied Thermal Engineering
Research Pages
128125
Research Publisher
Elsevier
Research Year
2025

Enhancing thermal management of lithium-ion batteries using phase change materials and expanded graphite: An experimental study

Research Abstract

Electric and hybrid electric vehicles are promising alternatives to tackle environmental impact and greenhouse
gas emissions associated with internal combustion engine vehicles. Electric vehicles have fueled the need for an
efficient energy storage system to provide high power output, maximum energy density, and rapid charging.
Lithium-ion batteries are a viable alternative as their high power density and energy capacity make them stand
out from their long lifespan and quick charging capabilities. However, thermal energy generated during charging
and discharging can cause safety concerns. In this regard, an experimental study was conducted to assess cooling
performance using four distinct phase-change-materials (PCM): PARA-Block, RT-54 HC, RT-44 HC and RT-35 HC
were tested in a cyclic test, which showed a reduction in the battery's maximum temperature to 59.6 
C, 50.9 ◦ C, 51.9  ◦C respectively, compared to 76.4  C with natural convection cooling. For further modification to
achieve the cell's optimum operating temperature and shape stabilized material, various weight percentages of
expanded graphite (EG) (3 %, 6 %, 12 %, 15 %) were added to obtain composite stable phase change material
(CPCM). The results showed that the battery's highest temperature decreased by almost 55 % by adding 12 % EG
to PCM RT 35 HC compared to natural cooling. In addition, the best conditions were applied for a four-battery
pack.

Research Authors
Mohamed Kh. Saudi, Mohamed Emam, Hamdy Hassan, Hidetoshi Sekiguchi, Ahmed S.G. Khalil
Research Date
Research Journal
Journal of Energy Storage
Research Pages
117427
Research Publisher
Elsevier
Research Vol
130
Research Year
2025
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