Space-Air-Ground Integrated Network Architecture Based on Mobile Edge Computing by Jian WU, Min JIA, Qing GUO

“…The next generation of wireless communication technologies will enhance the quality of user experience by supporting services such as intelligent transportation, intelligent healthcare, virtual/augmented reality, and more.These emerging services are typically computation-intensive and delay-sensitive, and must meet stringent delay, energy consumption, and reliability requirements that cloud-based services struggle to meet.In order to solve the above problems, mobile edge computing (MEC) technology was proposed to solve the problems of high latency and high bandwidth consumption when sending offloading requests back to the cloud computing centers.As an important research direction of 6G , space-air-ground integrated network (SAGIN) could make up for the huge coverage gap in the world, and had been widely concerned.This paper introduced MEC technology, federated learning technology and artificial intelligence technology into SAGIN to efficiently manage massive and heterogeneous resources in the network, and builded low-delay, low-energy consumption and high-reliability SAGIN to support various emerging services.…”
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Evolution scheme of 5G fusion user data architecture by Yuan ZHAO, Ziyu XIAO, Yan HAN, Hongyuan MA

“…User data management has experienced the evolution of 2G/3G and 4G era.At present,as a triple integration HLR/HSS service for mobile 2G/3G/4G/VoLTE users,contract data storage and authentication management,with the advent of 5G,5GC introduces cloud-based micro-service architecture UDM/UDR user data management network element,how to realize the evolution deployment of existing HSS and UDM,and how to realize the timely signing of 5G users to guarantee the 5GC business process urgently need to be studied.How to realize the evolution deployment of 5G user data to the four-fused HSS/UDM architecture based on the strategy of no-change card and no-change trademark commercial 5G market,and how to realize the smooth migration of 2G/4G user data to 5G user data at the same time was mainly researched.Finally,four HSS/UDM evolution schemes were presented and the rhythm of cloud migration was proposed.…”
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Deep reinforcement learning based algorithm for real-time QoS optimization of software-defined security middle platform by Yuancheng LI, Yongtai QIN

“…., a novel algorithm based on deep reinforcement learning for optimizing QoS in software defined security middle platforms (SDSmp) in real-time was proposed.Firstly, the fragmented security requirements and infrastructure were integrated into the SDSmp cloud model.Then by leveraging the power of deep reinforcement learning and cloud computing technology, the real-time matching and dynamic adaptation capabilities of the security middle platform were enhanced.Finally, a real-time scheduling strategy for security middle platform resources that meet QoS goals was generated.Experimental results demonstrate that compared to existing real-time methods, the proposed algorithm not only ensures load balancing but also improves job success rate by 18.7% for high QoS and reduces the average response time by 34.2%, and it is highly robust and better suited for real-time environments than existing methods.…”
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A Collaborative Story Writing Project Using Google Docs and Face-to-Face Collaboration by Deirdre Wilson

“…The Google Docs application is part of Google Workspace for Education, a suite of cloud-based productivity and collaboration tools that are now ubiquitous in middle and high school classrooms. …”
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Research and Implementation of Intelligent Home Pension System Based on Speech and Semantic Recognition by Guokun Xie, Sen Hao, Peipei Zhang, Ningning Wang

“…In this method, data transmission, instruction uploading, and receiving are completed by designing the communication interface of home appliance terminal to build the wireless intelligent home communication subsystem, and the voice module of IfI is adopted. The intelligent cloud is selected as the development cloud platform, and the related hardware is selected to realize the remote data communication. …”
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A pilot study of Telco’s next generation IT architecture evolution: business function virtualization (BFV) by Wen QIAO, Xiaozheng WANG, Zhenqiang SUN, Gan REN, Yunxin LIU, Aidong YANG, Peng WANG, Da WANG, Xiaozhou YE, Ye OUYANG

“…With the development of information and communication technologies, traditional telecom business support systems (BSS) are facing the challenge of agilely meeting the flexible needs from business.Application scenarization, service standardization, technology componentization and resource sharing have gradually become the consensual features among the evolution of telecom BSS architectures.A business function virtualization (BFV)-based BSS architecture, which is based on cloud-native, micro-services, containers, and DevOps technologies, was proposed.By embedding four components into the architecture, including standardized virtual network functions, modular design orchestrator, micro-service management framework, and multi-plane elastic computing controller, the system is able to deploy unitized system and distributed cloud.Therefore, the requirements of flexible telecom business development and frequent evolution of the system could be satisfied by the proposed BFV-based BSS architecture.In other words, the lightweight delivery of IT technologies and agile business support could be fulfilled by using the proposed BFV-based BSS architecture, and the proposed architecture will eventually become the standard architecture of next generation telecom BSS.…”
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An intelligent and simplified 5G wireless network technology by Yuhong HUANG, Qi SUN, Minli JIA, Ran DUAN, Zhuo CHEN

“…5G is the current focus of the development of the information and communication industry, and is gradually being deployed and commercialized.The 5G network will cover toC to toB, aiming at the interconnection of everything, so the complexity and challenges are unprecedented.In order to meet the needs of multiple scenarios, 5G network technology is complex and flexible in design, and the traditional management and operation methods are difficult and costly.At the same time, industry application requirements are very different and demanding.All of these require integrated solutions such as cloud-network integration and network industry collaboration.In response to the above-mentioned problems and needs, an intelligent and simplified 5G wireless network technology framework was proposed.Through innovative thinking and technology development of wireless networks, 5G and artificial intelligence, cloud computing, big data, edge computing and other new technologies were integrated and innovated to continuously improve 5G capabilities and promote the deep convergence of 5G and DOICT.A detailed introduction to the entire framework, platforms and applications in the above technology system were given.Finally, a technical outlook was proposed for shaping a new 5G ecology that supported green, smart, efficient operation, and the internet of everything.…”
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Systematic Thinking and Evaluation of Construction Quality Management Standardization of Power Engineering in China by Tai-Ping Yuan, Jing-Feng Ou, Juan Wang, Wei Zhang

“…Subsequently, the G1 method is used to determine the weight of each index, and the cloud model method is used to implement the evaluation process. …”
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V2X offloading and resource allocation under SDN and MEC architecture by Haibo ZHANG, Zixin WANG, Xiaofan HE

“…To address the serious problem of delay and energy consumption increase and service quality degradation caused by complex network status and huge amounts of computing data in the scenario of vehicle-to-everything (V2X),a vehicular network architecture combining mobile edge computing (MEC) and software defined network (SDN) was constructed.MEC sinks cloud serviced to the edge of the wireless network to compensate for the delay fluctuation caused by remote cloud computing.The SDN controller could sense network information from a global perspective,flexibly schedule resources,and control offload traffic.To further reduce the system overhead,a joint task offloading and resource allocation scheme was proposed.By modeling the MEC-based V2X offloading and resource allocation,the optimal offloading decision,communication and computing resource allocation scheme were derived.Considering the NP-hard attribute of the problem,Agglomerative Clustering was used to select the initial offloading node,and Q-learning was used for resource allocation.The offloading decision was modeled as an exact potential game,and the existence of Nash equilibrium was proved by the potential function structure.The simulation results show that,as compared to other mechanisms,the proposed mechanism can effectively reduce the system overhead.…”
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Research on the Influence of Rotational Speed on the Noise of V-ribbed Belt Three-wheel Drive System by Xuecheng Zhang, Zhendong Jiang, Yaochen Shi, Tianxiang Zhao

“…In order to study the influence of speed on the noise level of the V-ribbed belt three-wheel drive system，taking the 6PK V-ribbed belt as an example，a noise test device for the three-wheel drive system of the V-ribbed belt is built based on the acoustic array principle，and the time-domain signal and noise sound pressure distribution cloud diagram of the sound pressure in the transmission system of three wheels at different speeds are obtained. …”
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Resource Assignment Algorithms for Autonomous Mobile Robots with Task Offloading by Giuseppe Baruffa, Luca Rugini

“…The robots, due to limited onboard computation resources, need to offload some complex computing tasks to an edge/cloud server, requiring artificial intelligence and high computation loads. …”
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New Similarity of Triangular Fuzzy Number and Its Application by Xixiang Zhang, Weimin Ma, Liping Chen

“…A collaborative filtering case is used to illustrate users’ similarity based on cloud model and triangular fuzzy number; the result indicates that users’ similarity based on triangular fuzzy number can obtain better discrimination. …”
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Efficient and secure multi-user outsourced image retrieval scheme with access control by Fuyuan SONG, Zheng QIN, Jixin ZHANG, Yu LIU

“…In the cloud-based image retrieval services, the cloud server may not be fully trusted in which may arise privacy concerns.Some privacy-preserving image retrieval schemes have been proposed to protect image privacy.However, the traditional privacy-preserving image retrieval schemes have some weaknesses, such as inefficient and single-user setting.Therefore, an efficient and secure multi-user outsourced image retrieval (EMIR) scheme with access control was proposed.EMIR utilized matrix decomposition and proxy re-encryption to achieve multi-user outsourced image retrieval.By leveraging the techniques of one-time pad and matrix transformation, EMIR supported efficient and secure image retrieval based on Euclidean distance similarity in a privacy-preserving manner.In addition, EMIR applied locality sensitive hashing (LSH) to build searchable indexes in a privacy-preserving manner, which could improve the image retrieval performance.Specifically, a lightweight access control strategy by using role-based polynomial function was designed to authorize the legality of the query user.Security analysis shows that EMIR can protect the confidentiality of the images and the queries.The extensive experiments demonstrate that EMIR achieves efficient image retrieval.…”
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Can pollen affect precipitation? by M. Prank, J. Tonttila, J. Tonttila, X. Shang, S. Romakkaniemi, T. Raatikainen

“…On one hand, due to their large size (10–100 <span class="inline-formula">µ</span>m), pollen can act as giant cloud condensation nuclei and enhance the collision–coalescence process in clouds that leads to drizzle formation. …”
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LUneXt: Simple and Efficient U-shaped Network Design for Medical Image Segmentation with Nonlinear Activation by Guanghong Deng, Bing Yu, Wenlong Jing, Yong Li, Xiaodan Zhao

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The Legal Past of Asia When It Was the World by Marie Seong-Hak Kim

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Road Adhesion Coefficient Estimation Based on Vehicle-Road Coordination and Deep Learning by Chunjie Li, Pan Liu, Zhenlong Xie, Zhibin Li, Huan Huan

“…Firstly, a vehicle-based data feedback system combined with a vehicle-road network cloud is introduced, and CarSim simulation is used to expand the data set and train the model effectively. …”
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A fair multi-resource allocation mechanism for time-varying discrete jobs with placement constraints by LI Jie, WANG Jianzhou

“…A key issue in resource sharing in cloud computing is how to fairly and efficiently allocate the multi-resources to users with dynamic demand. …”
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Numerical Simulation and Analysis of Diffusion Process for the Leakages of a Tunnel LNG Pipeline by Chunyan Kong, Derong Zhang, Rong Cai, Shuangshuang Li, Rongjun Zhu

“…From the simulation results, the variation of CH4 concentration field and explosive gas cloud with time within the tunnel, and the influence of leakage location on the diffusion was analyzed for the three cases. …”
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Analysis and Evaluation of Intel Software Guard Extension-Based Trusted Execution Environment Usage in Edge Intelligence and Internet of Things Scenarios by Zhiyuan Wang, Yuezhi Zhou

“…In recent years, Trusted Execution Environment (TEE) has emerged as a promising technology for securing cloud data storage and cloud processing, demonstrating significant potential for ensuring data and application confidentiality in more scenarios. …”
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