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2024 International Conference Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Wang, Buchao Shi, Liqing Huang, Zhimin Guo, Xinbo Product Research and Development Department II Nanjing NARI Information and Communication Technology Co. Ltd. Nanjing China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

With the rapid development of the social economy and the continuous improvement of living standards, the demand for load is growing rapidly. Medium and low voltage users, especially high-risk and important users, have increasingly high requirements for power supply reliability and reducing power outage time. When a power grid failure occurs and power outage occurs, it is crucial to promptly determine the fault location, minimize fault repair time, restore power supply, and reduce user power outage time, improve power supply reliability, and user satisfaction. This system is based on the enterprise level real-time measurement center to obtain the switch SOE signals actively reported by secondary monitoring devices such as concentrators, FTUs, DTUs, and fusion terminals. After signal cleaning and filtering, the system aggregates, classifies, analyzes, and determines the event of switch tripping or resetting. Then, it is associated and matched with a device network to generate power outage events for high and medium power lines in the power grid. The high-voltage lines are accessed through marketing data to determine the affected high-voltage and important users, and the number of transformers and low-voltage users is determined for medium voltage lines. The power outage scope is accurately determined, and corresponding fault power outage events and affected equipment are pushed in real time to support power outage monitoring, proactive repair, and other work. © 2025 SPIE.

关键词： Smart power grids

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A Sequential Experience Network Based Continual Learning for Air Crisis Event Recognition

A Sequential Experience Network Based Continual Learning for...

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2025 Integrated Communications, Navigation and Surveillance Conference, ICNS 2025

作者： Zhang, Shengjie Jiang, Xiaolian Xiao, Wei Tian, Feng Peng, Mingtian Yang, Cheng Zhang, Yishan Yang, Yang School of Electronic Information Engineering Beihang University State Key Laboratory of CNS/ATM Beijing China Research and Development Center Travelsky Technology Limited Fares Department Beijing China Research and Development Center Travelsky Technology Limited Beijing China

ISBN: (纸本)9798331534738

With the exponential growth of multimodal data on the Internet, the recognition of air crisis events has become increasingly vital for managing accident-related information. This work underscores the continuous emergence of new air crisis events as its central feature. Traditional studies in this field have been limited to identifying a predefined array of these events. Nevertheless, the real-world application requires the dynamic recognition and management of unforeseen air crisis events. A static recognition model proves inadequate in such a rapidly changing environment, as it fails to identify emerging events. To address this deficiency, we introduce a novel problem termed Continual Air Crisis Event Recognition (CACER) in this paper. CACER necessitates a recognition model capable of learning from sequentially collected training data and categorizing all acquired events in test data. We propose a new Sequential Experience Network (SEN) designed to learn continuously from sequential data and recognize previously unidentified air crisis events. Our approach begins with current experience learning, aimed at mastering the classification of newly emerged events within current datasets. Subsequently, we employ a method of prior experience replay enhanced by self-knowledge distillation to solidify previously learned knowledge and avert catastrophic forgetting. In anticipation of entirely new events, we also intro-duce an unforeseen experience preparation component, featuring a modality mixture mechanism to prime classifiers. Furthermore, we conduct extensive experiments on the AirCrisisMMD and CrisisMMD datasets. The empirical results across these two datasets assert the superiority of our method over leading-edge alternatives. © 2025 IEEE.

关键词： Information management

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An Improved Yolov5-Based Algorithm for Pavement Disease Detection in Airport Flight Areas

An Improved Yolov5-Based Algorithm for Pavement Disease Dete...

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2024 International Conference on Mechatronics and Intelligent Control, ICMIC 2024

作者： Wang, Sibo Hao, Shougang Zhang, Ping Cao, Tie Shao, Liming Li, Youyang Research and Development Center Civil Aviation Electronic Technology Co. Ltd. Sichuan Chengdu China Engineering Technology Research Center The Second Research Institute of CAAC Sichuan Chengdu China

ISBN: (数字)9781510686847

ISBN: (纸本)9781510686830

An improved YOLOv5 network with SPP and CBAM added to the YOLOv5 network is proposed to identify airport service lane damages accurately, quickly, and completely on the basis of ground-penetrating radar technology. First, the structure and performance of YOLOv5 are described in detail, while the common hidden defects are marked in combination with the actual GPR image data acquired at the airport. The improved network achieved a 6.2% improvement in network detection accuracy, a 5.7% improvement in recall rate, and a 5.1% improvement in mAP compared to the original one. These findings demonstrated the high accuracy and feasibility of the proposed optimized network for the detection of hidden defects in airport service lanes. © 2025 SPIE.

关键词： Airports

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Classifying volcanic earthquake types of Mount Merapi using Artificial Neural Network (ANN) 12

Classifying volcanic earthquake types of Mount Merapi using ...

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12th International Conference on Physics and Its Applications, ICOPIA 2024

作者： Sudarmaji Jacobus, Patresya Pujianie Sulistyani Physics Department Gadjah Mada University Yogyakarta Indonesia Research and Technology Development for Geological Hazard Mitigation Agency Yogyakarta Indonesia

Indonesia, a country that passed by ring of fire, make this country have a lot of volcanoes. Therefore, monitoring volcanic activity is needed to dig deeper into volcano-science and to help in mitigating the risk of volcanic disasters that can be done by utilizing today’s technological developments. By utilizing of artificial inteligence and machine learning technology that can automate the processing of large amount of data, monitoring of volcanic activity can be made easier. On this research, the use of artificial neural network (ANN) for classifying volcanic earthquake patterns from Mt. Merapi. Some volcanic events from Mt. Merapi was be categorized into five classes: volcano-tectonic A, volcano-tectonic B, multiphase, low frequency and rockfall. The seismic data record from Mt. Merapi was processed becoming frequency spectrum as feature space and input for the artificial neural network. The output of the artificial neural network is one type of Mt. Merapi seismic event. The input data consist of 430 volcanic events record of Mt. Merapi during October 2019. Some architecture model of artificial neural network has been developed too. The experiment result of the artificial neural network for these volcanic events with ratio training and testing around 70%:30% shows accuracy was >83.7%. This accuracy is higher than previous studies of machine learning using same data with XGBoost algorithm with accuracy 76.7% and SVM algorithm with accuracy 74.4%. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Volcanoes

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A New Generation of Visual Combat Command System Based on Emergency Map

A New Generation of Visual Combat Command System Based on Em...

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2024 International Conference Optoelectronic Information and Optical Engineering, OIOE 2024

作者： Wang, Buchao Wang, Jun Liu, Huan Zhang, Wei Ni, Ming Liu, Yitian Product Research and Development Department II Nanjing NARI Information and Communication Technology Co. Ltd. Nanjing China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

With the increasing requirements for power supply systems and the continuous improvement of emergency rescue command center system construction, the requirements for early warning emergency systems are constantly increasing. Improve strategic planning, decision-making, and operational command capabilities by using charts, maps, and other visualization tools. Use map tools to provide the emergency command center with comprehensive on-site intelligence, quickly analyze terrain, disaster conditions, and the location of available resources, and conduct combat planning and on-site deployment. Based on the Geographic Information System (GIS) and related technologies, data such as resource location and target information are visualized to optimize emergency resource scheduling and combat decisions. The location, movement trajectory and working status of combat units and command nodes are displayed through charts and maps, the visualization of command links and information exchange is established, and the efficiency of combat command is improved. The expansion of map combat capabilities combines advanced information technology with strategic needs, and continuously explores and innovates new methods and tools to improve command decision-making efficiency, optimize combat effectiveness and ensure combat safety. © 2025 SPIE.

关键词： Strategic planning

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Hospital laundry practices and nosocomial infection risk in a Moroccan public hospital: critical views and suggestions for improvement

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International Journal of Environmental Studies 2025年第1期82卷 633-656页

作者： Mourabit, Nadira Elwardi, Khadija Bouhoudan, Assia Ouakourou, Hajar Nafai, Manal Bakkali, Mohamed Laboratory of Research and Development in Engineering Sciences Faculty of Sciences and Techniques of Al-Hoceima Abdelmalek Essaadi University Tetouan Morocco Faculty of Science and Technology of Tangier Abdelmalek Essaâdi University Tetouan Morocco

This study investigates the role of linen from laundry washing and Intensive Care Units in spreading infections at a Public Hospital in North Morocco. Microbiological analyses revealed 100% contamination of linens with a concerning presence of bacteria like Enterobacterales (30%), Pseudomonas aeruginosa (21.11%), and Acinetobacter baumannii (13.3%). Most isolated bacteria show significant resistance. For all Gram-negative bacteria, ceftazidime resistance exceeded 48%, and Enterobacterales exhibited the lowest carbapenem resistance rate (14.8%). No methicillin-resistant Staphylococcus aureus was isolated. Interestingly, germ prevalence showed no significant difference between laundry and ICU settings (p = 0.68), and a solid positive correlation suggests potential cross-contamination. The FMECA analysis revealed critical deficiencies in the laundry process, including staff training and segregation of dirty from clean laundry. The PESTEL analysis highlighted the need for laundry equipment and stringent hospital linen management to ensure patient safety. This study reveals linens as potential pathogen reservoirs and highlights laundry process deficiencies. © 2025 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Linen

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Review and Prospect of Urban Underground Space Planning Practices in China 18th

Review and Prospect of Urban Underground Space Planning Prac...

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18th Conference of the Associated research Centers for the Urban Underground Space, ACUUS 2023

作者： Liangcheng, Zhu Zhuo, Liu Qi, Chen School of Qilu Transportation Shandong University Jinan China Center of Science and Technology and Industrialization Development Ministry of Housing Urban-Rural Development Beijing China Urban and Rural Design and Development Branch China Construction Design and Research Institute Co. Ltd Shanghai China

ISBN: (纸本)9789819712564

From a worldwide perspective, China is the country with the fastest development and the most planning practices for urban underground space (UUS). Looking back over the past 40 years, the practices of UUS planning have gone through four development stages, firstly the exploratory stage of civil air defense engineering combining peacetime and wartime, secondly the rising stage led by a few pilot cities, thirdly the prosperous stage of standardized guidance and national promotion, and fourthly the innovative stage of coordination between ground and underground, and gradually forming UUS planning system with distinctive Chinese characteristics. This article analyzes the main characteristics and representative practical cases of the four stages, and deeply analyzes the problems and reasons that exist in current practice from five aspects: the differences in UUS planning between China and foreign countries, the necessity of UUS planning, reconstruction of UUS planning system, upgrading of UUS planning methods, and improving the efficiency of UUS planning implementation. Then it proposes targeted main ideas and suggestions. The future city will be a three-dimensional city with integrated development of ground and underground. China’s practical exploration will contribute more wisdom to the development and utilization of UUS in Global city. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Urban planning

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Fluorine-free Word Line Molybdenum Process for Enhancing Scalability and Reliability in 3D Flash Memory

Fluorine-free Word Line Molybdenum Process for Enhancing Sca...

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2024 IEEE Symposium on VLSI technology and Circuits, VLSI technology and Circuits 2024

作者： Fukushima, T. Kashima, T. Seto, S. Ohtori, H. Kato, M. Katou, K. Takehira, H. Sugawara, Y. Zhu, Z. Hara, K. Osanai, R. Beppu, T. Tahara, H. Ishiku, T. Takahashi, K. Ariga, T. Ueda, Y. Matamura, Y. Mukae, Y. Takeguchi, N. Maruyama, Y. Nishikawa, R. Kitagawa, H. Asakawa, J. Uchiyama, Y. Ohuchi, K. Sekine, K. Advanced Memory Development Center Japan Western Digital Corporation 800 Yamanoissiki-Cho Mie-Pref Yokkaichi512-8550 Japan Institute of Memory Technology Research & Development Kioxia Corporation Japan

ISBN: (纸本)9798350361469

A state-of-the-art fluorine-free word line (WL) molybdenum (Mo) process has been established for future 3D flash memory. Application of Mo to WLs can accelerate scaling of cells in both the vertical and horizontal directions with lower RC delay and lower leakage failure rates compared to traditional tungsten. In addition to being fluorine-free, key attributes of the process are optimization of Mo recess by innovative chemical and improvement of Mo filling to remove oxygen residue in Mo voids. These techniques can extend the scaling limit of 3D flash memory. © 2024 IEEE.

关键词： Fluorine free molybdenum oxygen scalability word line

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Soot volume fraction measurements in aero-engine model combustor outlet using two-color laser-induced incandescence

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Chinese Journal of Aeronautics 2025年第3期38卷 249-261页

作者： Linsen WANG Pengji DING Sijie YAN Jie LI Jingwei Zhang Chaozong WANG Zhibo CAO Quan ZHOU Jinhe MU Gang Meng Wenyan SONG Zhenyu XU Bo Yan Shuang CHEN State Key Laboratory of Aerodynamics China Aerodynamics Research and Development CenterMianyang 621000China Facility Design and Instrumentation Institute China Aerodynamics Research and Development CenterMianyang 621000China School of Nuclear Science and Technology Lanzhou UniversityLanzhou 730000China School of Power and Energy Northwestern Polytechnical UniversityXi’an 710129China AECC Commercial Aircraft Engine Co.Ltd. Shanghai 200241China Anhui Institute of Optics and Fine Mechanics Chinese Academy of SciencesHefei 230031China

Quantitative measurement of Soot Volume Fraction (SVF) is an essential prerequisite for controlling soot particle emissions from aero-engine combustors. As an in-situ and non-intrusive optical diagnostic technique, Laser-Induced Incandescence (LII) has been increasingly applied for soot concentration quantification in various combustion environments such as laminar flame, vehicle exhaust, internal combustion chamber as well as aero-engine combustor. In this work, we experimentally measured the spatial and temporal distribution of SVF using two-color LII technique at the outlet of a single-sector dual-swirl aero-engine model combustor. The effect of inlet pressure and air preheat temperature on the SVF distribution was separately investigated within a pressure range of 241–425 kPa and a temperature range of 292–500 K. The results show that soot production increases with the inlet pressure but generally decreases with the air preheat temperature. Qualitative analysis was provided to explain the above results of parametric studies. The LII experiments were also conducted under 3 designed conditions to evaluate soot emission under practical operations. Particularly, weak soot emission was detected at the outlet under the idle condition. Our experimental results provide a valuable benchmark for evaluating soot emission in the exhaust plume of this aero-engine combustor during practical operations.

关键词： Aero-engine combustor Combustion diagnostics Soot Volume Fraction(SVF) Laser-Induced Incandescence(II) Inlet pressure Air preheat temperature

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Hydrogen Energy Demand Management in China:A Department Scenario Analysis Method

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Energy Engineering 2025年第3期122卷 971-983页

作者： Zhongxun Li Bing Wang Xiaolin Liu Center for Sustainable Development and Energy Policy Research School of Energy and Mining EngineeringChina University of Mining and Technology-BeijingBeijing100083China Research Institute of Decision-Making Science and Big Data School of ManagementChina University of Mining and Technology-BeijingBeijing100083China

The proposal of carbon neutrality target makes decarbonization and hydrogenation typical features of future energy development in *** a wide range of application scenarios,hydrogen energy will experience rapid growth in production and *** formulate an effective hydrogen energy development strategy for the future of China,this study employs the departmental scenario analysis method to calculate and evaluate the future consumption of hydrogen energy in China’s heavy industry,transportation,electricity,and other related *** technical parameters are selected and predicted accurately and reliably in combination with different development *** findings indicate that the period from 2030 to 2050 will enjoy rapid development of hydrogen energy,having an average annual growth rate of 2%to 4%.The technological progress and breakthroughs scenario has the greatest potential for hydrogen demand scale among the four development *** this scenario,the total demand for hydrogen energy is expected to reach 446.37Mt in *** sector will be the sector with the greatest potential for hydrogen deployment growth from 2023 to 2060,which is expected to rise from 0.038Mt to about 163.18Mt,with the ambitious growth in the ***,hydrogen energy has a considerable development potential in the steel sector,and the trend of de-refueling coke by hydrogenation in this sector will be imperative for this energy-intensive industries.

关键词： Hydrogen demand management department scenario analysis carbon neutrality

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