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International Conference on Advanced Intelligent Systems for Sustainable development, AI2SD 2023

作者： Benelmostafa, Badr-Eddine Aitelhaj, Rita Elmoufid, Mohamed Medromi, Hicham Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco

ISBN: (纸本)9783031543173

Intelligent drone inspection of power lines using computer vision techniques is a very promising research topic. In particular, the detection of broken glass insulators due to their essential role in the proper functioning of electrical transmission lines. However, detection of such defects is challenging due to their small size coupled with complex aerial image backgrounds and limited dataset availability. In this regard, this paper uses advanced object detection algorithms to achieve real-time monitoring of broken glass insulators using drones by offering main contributions on two aspects. First, a large-scale aerial image dataset from Vietnam was meticulously constructed, including 1,010 labeled original images. It will serve as a valuable resource for those engaged in the automation of power line inspections. Second, a novel improved Yolov8 detection model is introduced, incorporating the Gather and Distribute mechanism for the fusion of different feature maps within the Neck component of Yolov8. Experimental results demonstrate that the model surpasses equivalent-scale models, such as Yolov8-m, Yolov7, RTDETR-l, Gold-Yolo and Yolov6-v3.0-m, exhibiting notable improvements. The model shows improvements of up to 2,1% in mean Average Precision mAP:50 while maintaining resource efficiency, with a smaller model size of at least 17.31% compared to other models, and it exhibits real-time performance capabilities. Overall, these promising contributions could advance the development of intelligent, reliable and automated anomaly detection systems suitable for drone inspections of power lines in the context of industry 4.0. Access to both the source code and the Vietnamese dataset is available through this link: https://***/phd-benel/Yolov8_gold. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Object detection

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Exploring the Generalizability of Recent Object Detection Models in Identifying Defective Glass Insulators for UAV Power Line Inspection A Case Study in Morocco

Exploring the Generalizability of Recent Object Detection Mo...

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International Conference on Advanced Intelligent Systems for Sustainable development, AI2SD 2023

作者： Aitelhaj, Rita Benelmostafa, Badr-Eddine Medromi, Hicham Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco

ISBN: (纸本)9783031542879

Power line inspection through drone technology improved by computer vision has attracted considerable investment from the electric transportation sector, by dint of its potential to enhance operational efficiency, reduce costs and attenuate risk. However, creating proprietary solutions for companies can be prohibitively costly due to the extensive research and development processes involved. That’s why many organizations opt to procure foreign solutions to expedite their integration into operational protocols. Yet, a key concern is, the adaptability and effectiveness of these foreign solutions, in new operational context: Can externally procured solutions meet the purchaser operational requirements? Our research focuses on evaluating the generalization ability of recent high-performance object detection models, specifically in identifying damaged glass power line insulators in drone-acquired images. To investigate, we carefully constructed two datasets—Vietnamize and Moroccan. We then trained and validated six recent models on the Vietnamese dataset and evaluated their performance on a new environment - a Moroccan dataset. Our findings indicate that these models consistently demonstrate high levels of performance in the Vietnamese region where they were trained. In contrast, when applied to the Moroccan context, their performance metrics experienced a decline. These results highlight the fact that current models still suffer from the generalization problem when they discover a new environment. Also, these findings emphasize that entities seeking intelligent external solutions should recognize the absence of a universally applicable solution. Instead, it becomes imperative for organizations to equip themselves with the requisite mechanisms to tailor the acquired solution effectively to its specific operational milieu. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Object detection

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Feasibility of Industrial Marine Infrastructure for Zero-Energy Seawater Desalination: Harnessing Hydrostatic Pressure 1st

Feasibility of Industrial Marine Infrastructure for Zero-Ene...

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1st International Conference on Electrical Systems and Smart Technologies, ICESST 2024

作者： El Allaoui, Achraf Semmar, Atae El Ansari, Loubna Laghridat, Hammadi Gziri, Hassan Dachry, Wafaa Medromi, Hicham Laboratory of Engineering Industrial Management and Innovation Hassan 1 University Settat Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco Rabat Morocco

ISBN: (纸本)9783031867040

This paper explores the feasibility of utilizing natural oceanic forces, particularly hydrostatic pressure, for zero-energy seawater desalination. As water scarcity becomes an increasing global challenge, innovative solutions are needed to reduce energy consumption and environmental impacts. Traditional desalination methods, such as reverse osmosis, require substantial energy input due to the need for high-pressure pumps. This study proposes an alternative approach by harnessing hydrostatic pressure at significant ocean depths to drive the desalination process without mechanical pumps. The research conducts a comprehensive feasibility study that examines various oceanic factors such as water density, salinity, temperature, marine currents, and local gravity effects. The study evaluates pressure variations at different depths, exploring how natural forces can be harnessed to reduce operational costs and improve sustainability. While challenges remain, such as harsh marine environments and the complexity of deep-sea installations, the findings suggest that using natural pressure forces has significant potential to transform seawater desalination into a more sustainable, cost-effective solution. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Hydrostatic pressure

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A Bibliometric Review of research Trends, Challenges and Future Directions in Smart Medical Bracelets 1st

A Bibliometric Review of Research Trends, Challenges and Fut...

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1st International Conference on Electrical Systems and Smart Technologies, ICESST 2024

作者： El Amri, Kawtar Rabbah, Nabila Khalfaoui, Ibtissam Machkour, Nadia Medromi, Hicham Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering – Suptech Santé Mohammedia Morocco Hassan II University Casablanca Morocco

ISBN: (纸本)9783031867040

This paper reports on a bibliometric study of smart medical bracelets performed over the period 2019 to 2024 with the help of the Scopus database. The identification of main trends made mention of artificial intelligence, deep learning and IoT for real-time health monitoring. Wearable technologies are paramount in the management of chronic diseases and in enhancing the outcomes of people, especially during the COVID-19 pandemic. It was found that smart medical bracelets could indeed offer the potential for a non-invasive way to monitor health continuously. While this review is confined to English language publications, the conclusions drawn carry a valuable scope and light over future research requirements like involving a wide number of databases, evaluation of long-term effectiveness and the fusion with new emerging technologies. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Deep learning

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Modulating Electromagnetic Genes Through Bi-Phase High-Entropy engineering Toward Temperature-Stable Ultra-Broadband Megahertz Electromagnetic Wave Absorption

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Nano-Micro Letters 2025年第7期17卷 262-277页

作者： Xiaoji Liu Yuping Duan Nan Wu Guangming Li Yuan Guo Jiangyong Liu Ning Zhu Qiang Wang Lin Wang Zichen Xu Hao Wei Guojun Wang Zhijia Zhang Songsong Zhang Wenjun Zhou Teng Ma Tongmin Wang Qingdao Innovation and Development Base of Harbin Engineering University Harbin Engineering University Key Laboratory of Solidification Control and Digital Preparation Technology School of Materials Science and EngineeringDalian University of Technology National Key Laboratory of Electromagnetic Effect and Security On Marine Equipment China Ship Development and Design Center Wuhan Second Ship Design and Research Institute

Magnetic absorbers with high permeability have significant advantages in lowfrequency and broadband electromagnetic wave （EMW） ***,the insufficient magnetic loss and inherent high conductivity of existing magnetic absorbers limit the further expansion of EMW absorption ***,the spinel （FeCoNiCrCu）3O4high-entropy oxides （HEO） are successfully constructed on the surface of FeCoNiCr0.4Cu0.2high-entropy alloys （HEA） through low-temperature oxygen bath *** the one hand,HEO and HEA have different magnetocrystalline anisotropies,which is conducive to achieving continuous natural resonance to improve magnetic *** the other hand,HEO with low conductivity can serve as an impedance matching layer,achieving magneto-electric *** the thickness is 5 mm,the minimum reflection loss （RL） value and absorption bandwidth （RL<-5 d B） of bi-phase high-entropy composites （BPHEC） can reach-12.8 d B and 633 MHz,*** RCS reduction value of multilayer sample with impedance gradient characteristic can reach 18.34 d B *** addition,the BPHEC also exhibits temperaturestable EMW absorption performance,high Curie temperature,and oxidation *** absorption bandwidth maintains between 593 and 691 MHz from-50 to 150℃.This work offers a new and tunable strategy toward modulating the electromagnetic genes for temperature-stable ultra-broadband megahertz EMW absorption.

关键词： Bi-phase high-entropy composites Continuous natural resonance Electromagnetic genes Electromagnetic wave absorption Ultra-broadband

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Fabricating Process of Thin-Strain Sensor by Utilizing Wafer-Level-Packaging Techniques

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IEEJ Transactions on Sensors and Micromachines 2024年第4期144卷 56-61页

作者： Aono, Takanori Kanamaru, Masatoshi Ikeda, Hiroshi Reliability Science Research Department Production Engineering and MONOZUKURI Innovation Center Research & Development Group Hitachi Ltd. 832-2 Horiguchi Ibaraki Hitachinaka312-0034 Japan

This research has developed a fabricating process of thin-strain sensor by utilizing wafer-level-packaging (WLP) techniques. The thickness of sensor makes thinner, its performance is able to highly increase. However, the thinner sensor was fragile, and so it was difficult to handle in post processes. Thus, a thin sensor with lid by utilizing WLP techniques, which is tough to break even when handled, is proposed in this research. More than 250-μm-deep grooves were fabricated around the lid by deep reactive ion etching. After the lid substrate was bonded on the sensor substrate with a resin, the sensor and lid substrates were respectively polished to 50 μm and 200 μm thickness. The lids were released along the grooves, and the 50-μm-thick strain sensors were able to be fabricated by utilizing WLP techniques. This sensor was used as a diaphragm to measure pressure. The sensors were assembled on a stainless steel housing without breakage. The performance of developed sensor was almost showed with a conventional pressure sensor. © 2024 The Institute of Electrical Engineers of Japan.

关键词： Substrates

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Challenges and Prospects for Real-Time Glucose Monitoring: Moving Towards Non-invasive Solutions 1st

Challenges and Prospects for Real-Time Glucose Monitoring: M...

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1st International Conference on Electrical Systems and Smart Technologies, ICESST 2024

作者： Fdil, Kholoud Elhir, Safae Debbarh, Ikram Medromi, Hicham Engineering Research Laboratory National Higher School of Electricity and Mechanics Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering Suptech Santé Mohammedia Morocco

ISBN: (纸本)9783031867040

Diabetes mellitus is a global health challenge. Effective glycemic control is needed to prevent serious complications and improve patient outcomes. Continuous glucose monitoring (CGM) devices have transformed the management of diabetes by providing continuous, real-time blood glucose measurements that enable dynamic and accurate control of blood glucose levels. Unlike traditional glucometers, CGM systems provide insight into glucose trends and patterns, significantly improving patient management. However, despite these advances, CGM systems have certain limitations, including the need for invasive calibration, discomfort associated with sensor insertion, and skin irritation caused by adhesive patches. In this article, we review the functionalities, key examples, and limitations of CGM technology and its essential role in diabetes management. Based on this, we discuss the limitations of current CGM systems and propose non-invasive approaches, in particular near-infrared spectroscopy (NIRS), as a promising alternative. This approach has the potential to revolutionize diabetes management by providing a more user-friendly and accessible solution for continuous, real-time glucose monitoring through the integration of non-invasive monitoring with telemedicine. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Noninvasive medical procedures

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Improved YOLOv7 Models with Attention Mechanism for Inspection of Broken Glass Insulator on Power Line UAV Images

Improved YOLOv7 Models with Attention Mechanism for Inspecti...

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International Conference on Intelligent Systems and Smart Technologies, I2ST 2023

作者： Benelmostafa, Badr-Eddine Jioudi, Bassma Elmoufid, Mohamed Medromi, Hicham Hassan II University Casablanca Morocco Research Foundation for Development and Innovation in Science and Engineering Casablanca Morocco School of Biomedical Engineering Mohammed VI University of Health Sciences Casablanca Morocco

ISBN: (纸本)9783031476716

Glass insulators play a critical role in ensuring the proper operation of high-voltage transmission lines. Intelligent inspection of power lines by drone, therefore, requires robust, fast and accurate detection models. But since the defects of broken glass insulators are extremely small and the backgrounds of aerial images are complex, coupled with a relatively small dataset, defect detection becomes a challenging task for automatic transmission line inspection. Thus, to overcome these limitations, we build a strong Vietnamese-Moroccan database of broken glass insulators with proper augmentation techniques, which we partly share publicly, and establish a comparative study based on improved versions of YOLOv7, the new state-of-the-art real-time object recognition model. In this paper, 3 versions of YOLOv7 enhancements are proposed by introducing 3 different attention blocks (NAM, GAM and SE) along with a CSP Bottleneck into the YOLOv7 header to better detect anomalies. The improved and baseline YOLOv7 models were trained, tested and compared on our dataset. The experimental results show that the mean Average Precision mAP:50 of the improved models is at best 5% higher than the baseline model and 11% lighter. Thus, validating the improved YOLOv7 models by achieving real-time performance for broken glass insulator detection in complex aerial images. The open-source dataset can be accessed via this link: https://***/phd-benel/BGI. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Computer vision

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Moving from Mirages to Miracles: Intellectual Property, Human Rights and the Global Partnership for Sustainable development

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GRUR International 2023年第7期72卷 629-630页

作者： Ncube, Caroline B University of Cape Town South Africa Department of Science and Innovation National Research Foundation Chair in Intellectual Property Innovation and Development South Africa

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Iron-nitrogen-doped porous carbon absorbers constructed from hypercrosslinked ferrocene polymers for efficient electromagnetic wave absorption

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International Journal of Minerals,Metallurgy and Materials 2025年第3期32卷 578-590页

作者： Yi Hu Yijia Zhou Lijia Liu Qiang Wang Chunhong Zhang Hao Wei Yudan Wang Key Laboratory of Superlight Materials&Surface Technology of Ministry of Education College of Materials Science and Chemical EngineeringHarbin Engineering UniversityHarbin 150001China Yantai Research Institute of Harbin Engineering University Yantai 264006China Qingdao Innovation and Development Base of Harbin Engineering University Qingdao 266404China

Herein,an external crosslinker facilitated the hypercrosslinking of ferrocene and a nitrogen heterocyclic compound(either melamine or imidazole)through a direct Friedel-Crafts reaction,which led to the formation of nitrogen-containing hypercrosslinked fer-rocene polymer precursors(HCP-FCs).Subsequent carbonization of these precursors results in the production of iron-nitrogen-doped por-ous carbon absorbers(Fe-NPCs).The Fe-NPCs demonstrate a porous structure comprising aggregated nanotubes and *** porosity of this structure can be modulated by adjusting the iron and nitrogen contents to optimize impedance *** uniform dis-tribution of Fe-N_(x)C,N dipoles,andα-Fe within the carbon matrix can be ensured by using hypercrosslinked ferrocenes in constructing porous carbon,providing the absorber with numerous polarization sites and a conductive *** electromagnetic wave absorption performance of the specially designed Fe-NPC-M_(2)absorbers is satisfactory,revealing a minimum reflection loss of-55.3 dB at 2.5 mm and an effective absorption bandwidth of 6.00 GHz at 2.0 *** utilizing hypercrosslinked polymers(HCPs)as precursors,a novel method for developing highly efficient carbon-based absorbing agents is introduced in this research.

关键词： hypercrosslinked polymers porous carbon iron-nitrogen doping annealing

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