Mesoscale Numerical Simulation and Cloud Microphysical Characteristics of the Warm Zone Blizzard in Northern Xinjiang by Anbei LI, Chenxiang JU, Yaman ZHOU, Man LI, Ruqi LI

“…The warm zone blizzard are both infrequent and highly destructive， making their accurate prediction a challenging and crucial focus.This study utilized four distinct cloud microphysics schemes （Lin， Thompson， WDM6， and WSM6） within the WRF mesoscale model to conduct a numerical simulation of a typical warm zone blizzard process in the northern Xinjiang in the middle of November 2016.The research objectives encompassed the evaluation of the model's capacity to simulate the warm zone blizzard， the selection of an optimal parameterization scheme， an analysis of the vertical distribution and evolution of hydrometeors during the snowstorm， and an exploration of the developmental patterns of related mesoscale systems contributing to the snowstorm.The analysis yielded the following key findings： （1） Among the diverse cloud microphysics parameterization schemes tested， the Lin scheme demonstrated the most favorable performance， effectively simulating snowfall magnitudes， spatial distributions， and trends.（2） In the cloud， all kinds of water condensate particles are active in the lower and middle troposphere， with graupel and snow being the most.Ice crystals， snow， cloud water and graupel particles are distributed from the upper layer to the lower layer.Near the windward slope of Altai Mountain is the center of the large concentration of each water condensate particle.The vertical alignment of the high value center of the four kinds of cloud water condensate particles in the strong snowfall area is conducive to the transformation of each particle.（3） High-humidity systems upstream moved westward， with the intensification of low-level southward jet streams resulting in pronounced moisture convergence.The western foothills of the Altai Mountains acted as a barrier， promoting moisture convergence by blocking the windward side； The low-level southerly jet also provides a continuous updraft and unstable condition for the generation of the blizzard.Strong snowfall is located in a wide updraft area between two groups of secondary circulations.The explosive growth of vertical movement is conducive to triggering the release of unstable energy， providing strong dynamic lifting conditions for the development and maintenance of the blizzard.…”
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Capturing the Diversity of Mesoscale Trade Wind Cumuli Using Complementary Approaches From Self‐Supervised Deep Learning by Dwaipayan Chatterjee, Sabrina Schnitt, Paula Bigalke, Claudia Acquistapace, Susanne Crewell

“…To capture the observed organizational variability, this work proposes an integrated framework using a continuous followed by discrete self‐supervised deep learning approach, which exploits cloud optical depth from GS measurements. …”
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Time series data based AI operation and maintenance system of cloud network collaboration platform by Ruiying CHENG, Pan ZHANG, Yu XIAO, Yujie QIAO, Anyi ZHANG

“…“Cloud-network collaboration” and “micro-service” are important trends in the evolution of enterprise cloud platforms.As the importance of enterprise information construction continues to rise, the operation and maintenance of the microservice-oriented cloud-network collaboration platform faces great challenges.The challenges faced by the operation and maintenance were analyzed, the requirements for artificial intelligence operation and maintenance of the platform were sorted out, a technical system for artificial intelligence operation and maintenance of the platform based on time-series data analysis was proposed, and an artificial intelligence operation and maintenance subsystem for the cloud network collaborative platform was designed.The proposed technical system and system design are practical and generalizable, and can be used as a reference for the technical approach of enterprise cloud platform construction and optimization.…”
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Cloud-edge collaborative high-frequency acquisition data processing for distribution network resilience improvement by Sanlei Dang, Jie Zhang, Tao Lu, Yongwang Zhang, Peng Song, Jun Zhang, Rirong Liu

“…To realize transparent monitoring and resilience improvement of low-voltage distribution network, both the data acquisition scope and frequency have been greatly expanded. Cloud-edge collaboration leverages the edge server’s real-time response capabilities and the cloud server’s robust data processing power to enhance the performance of high-frequency data acquisition processing. …”
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A Distributed Parallel Genetic Algorithm of Placement Strategy for Virtual Machines Deployment on Cloud Platform by Yu-Shuang Dong, Gao-Chao Xu, Xiao-Dong Fu

“…The cloud platform provides various services to users. …”
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Analyzing Docker Vulnerabilities through Static and Dynamic Methods and Enhancing IoT Security with AWS IoT Core, CloudWatch, and GuardDuty by Vishnu Ajith, Tom Cyriac, Chetan Chavda, Anum Tanveer Kiyani, Vijay Chennareddy, Kamran Ali

“…In connection with this, this paper is calling for the execution of robust AWS cloud security solutions: IoT Core, CloudWatch, and GuardDuty. …”
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Characterizing the Supercooled Cloud over the TP Eastern Slope in 2016 via Himawari-8 Products by Qiuyu Wu, Jinghua Chen, Yan Yin

“…In the region with the highest frequency of SLW, the mechanical forcing of the Tibetan Plateau causes the convergence of low-level airflow within the basin, which also carries moisture that is forced to ascend stably, creating a favorable condition for the formation of supercooled clouds. As the airflow continues to ascend, it encounters the mid-to-upper-level westerlies and temperature inversion. …”
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Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds by Zhuli REN, Ruifu YUAN, Liguan WANG, Haokun DENG, Wen WANG, Jinlong ZHANG

“…A robust two-stage denoising method for complex underground tunnel scenes in three-dimensional point cloud data has been proposed to acquire high-quality mine 3D point cloud data. …”
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Efficient scheduling of multiple software projects for work continuity and identical completion time by Abdulrahman Aldhubaiban, Ali AlMatouq

“…The study validates the proposed solution using a random generator of multiple software project instances while interfacing to online optimization solvers to find a solution. Our continuous variable model was solved in the cloud for optimality for large instances of upto 40 different software projects and 100 employees in less than 21 min using nonlinear programming algorithms. • A continuous variable nonlinear model is developed to efficiently schedule large-scale software projects. • The model enables scheduling for multiple projects with identical completion times while ensuring work continuity. • A cloud-based program architecture is designed to facilitate the testing of multiple solvers online.…”
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Numerical Simulation of Main Negative Charge Area Parameters for Upward Negative Cloud-to-ground Lightning by Wang Yiru, Tan Yongbo, Zheng Tianxue, Yu Junhao, Li Chunsun, Liu Minzhi

“…Different types of lightning initiation condition are the focus of scientific research. The initiation of cloud lightning is competitive with self-sustaining uplink lightning. …”
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Design and Development of a Low-Power IoT System for Continuous Temperature Monitoring by Luis Miguel Pires, João Figueiredo, Ricardo Martins, João Nascimento, José Martins

“…This article presents the development of a compact, high-precision, and energy-efficient temperature monitoring system designed for tracking applications where continuous and accurate thermal monitoring is essential. …”
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Early Warning of Low-Frequency Oscillations in Power System Using Rough Set and Cloud Model by Miao Yu, Jinyang Han, Shuoshuo Tian, Jianqun Sun, Honghao Wu, Jiaxin Yan

“…Compared with the existing methods, we have pioneered a synergistic mechanism of discrete attribute screening and continuous probabilistic feature fusion by combining the dynamic attribute approximation algorithm of rough sets with the cloud model, which effectively solves the loss of information caused by the discretization of continuous data in the traditional methods. …”
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A cloud-edge collaborative optimization control strategy for voltage in distribution networks with PV stations by Guoqing Li, Wei Wang, Dan Pang, Zhipeng Wang, Weixian Tan, Zhenhao Wang, Jinming Ge

“…With the continuous expansion of the power system scale and the continuous development of the power network, the traditional power system management and optimization methods face many challenges. …”
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Container Security in Cloud Environments: A Comprehensive Analysis and Future Directions for DevSecOps by Santosh Ugale, Amol Potgantwar

“…This work presents automated, robust security techniques for continuous integration and continuous development pipelines, and the added overhead is empirically analyzed. …”
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New provable data transfer from provable data possession and deletion for secure cloud storage by Yudong Liu, Shuai Xiao, Han Wang, Xu An Wang

“…With the continuous and rapid development of cloud computing, it becomes more popular for users to outsource large-scale data files to cloud servers for storage and computation. …”
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The Black Cloud of Endometriosis on different aspects of the Life of Women with Endometriosis: a qualitative study in Iran by Sanaz Mollazadeh, Mojgan Mirghafourvand, Khadijeh Mirzaii Najmabadi, Talat Khadivzadeh

“…The Conventional Qualitative Content Analysis approach was utilized, and sampling continued until data saturation. Ultimately, 14 women with endometriosis were interviewed. …”
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Diurnal Variation of Cloud Physical Properties for Tropical Cyclones Over North Atlantic in 2019–2023 by Cuiping Liu, Feng Zhang, Huiling Ouyang, Wenwen Li, Zhijun Zhao

“…Abstract Diurnal cloud variations critically modulate tropical cyclone (TC) precipitation and intensity, yet remain poorly understood due to the lack of continuous observations. …”
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Building Lightweight 3D Indoor Models from Point Clouds with Enhanced Scene Understanding by Minglei Li, Mingfan Li, Min Li, Leheng Xu

“…Indoor scenes often contain complex layouts and interactions between objects, making 3D modeling of point clouds inherently difficult. In this paper, we design a divide-and-conquer modeling method considering the structural differences between indoor walls and internal objects. …”
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Design of Cloud-Based Complex VR 3D Scene Interaction Based on Attribute Preferences by Ze Yu Yang, Yeom Jun Young

“…This paper presents a novel approach to enhancing real-time 3D design collaboration in cloud-rendered virtual reality (VR) environments through adaptive interface personalization and efficient resource management. …”
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Computer Vision System for Multi-Robot Construction Waste Management: Integrating Cloud and Edge Computing by Zeli Wang, Xincong Yang, Xianghan Zheng, Daoyin Huang, Binfei Jiang

“…Most construction waste recycling robotic systems are developed based on a client-server framework, which means that all robots need to be continuously connected to their respective cloud servers. …”
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