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A Low Complexity Algorithm of Beamforming Optimization for IRS-Assisted MIMO systems 14

A Low Complexity Algorithm of Beamforming Optimization for I...

引用

14th international conference on Signal Processing systems, ICSPS 2022

作者： Shi, Chuangqi Wang, Yajun Liu, Shuang Cai, Shanjie Ocean College Jiangsu University of Science and Technology Zhenjiang China

ISBN: (纸本)9798350336313

In order to provide secure, efficiency and high- quality mobile wireless communication with limited wireless resources and improve network spectral efficiency. In this paper, we consider an intelligent reflecting surface (IRS) assisted point- to-point multi-input multi-output (MIMO) communication system. According to the sum-path-gain maximization criteria, under the single-mode constraints of the phase shift vector and the maximum transmitting power constraints of the transmitting side, the spectral efficiency of the system is maximized. the linear alternating direction multiplier (LADMM) algorithm is used to optimize the phase shift of the IRS and the precoding matrix of the transmitter. By Taylor expansion of the objective function, the inverse operation of matrix in iterations is avoided. the results show that this method reduces the computational complexity, higher spectral efficiency can be achieved, the spectral efficiency and performance of the system have been further improved. © 2022 IEEE.

关键词： Spectrum efficiency

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Deep Learning-Based Traffic Sign Identification Using Multi-Scale Feature Fusion 14

Deep Learning-Based Traffic Sign Identification Using Multi-...

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14th international conference on Ubiquitous and Future networks, ICUFN 2023

作者： Devkota, Nikesh Kim, Byung Wook Changwon National University Department of Information and Communication Engineering Changwon Korea Republic of

ISBN: (纸本)9798350335385

Roadside traffic signs are used to enforce vehicle safety laws, appropriately convey traffic conditions, and aid in safe driving. therefore, accurate traffic sign identification is essential for automated driving. In this article, we suggest a simple and reliable one-stage object detection model for detecting and identifying traffic signs by using ResNet50 and a Feature Pyramid Network (FPN). We evaluate our network using the Tsinghua-Tencent 100K (TT100K) benchmark for traffic sign recognition, and the results demonstrate that the detection network can obtain overall Mean Average Precision (mAP) of 46.012%. © 2023 IEEE.

关键词： Autonomous vehicles

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Development of Mathematical Model for Traffic Control at Signalized Intersections 15

Development of Mathematical Model for Traffic Control at Sig...

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15th international conference on Emerging Ubiquitous systems and Pervasive networks / 14th international conference on Current and Future Trends of Information and communication Technologies in Healthcare, EUSPN/ICth 2024

作者： Kolesnikov, Oleksii Naizabayeva, Lyazat Bayan, Buitek Kolesnikova, Kateryna Airflow Bayazakova str Almaty Kazakhstan International IT University 34/1 Manas str. Almaty Kazakhstan

the research presents a study of developing and verifying mathematical models for traffic control at traffic light intersections. the research's primary goal is to create accurate and reliable models that optimize the operation of traffic lights and the distribution of traffic flows, which contributes to reducing the waiting time at intersections and reducing harmful emissions into the atmosphere from idling cars. the study examines various criteria for evaluating the effectiveness of traffic management, such as total travel time, number of stops, traffic intensity, and average delays. the developed models consider the dynamics of urban traffic flows, including the characteristics of vehicles and the random nature of the flow. the results demonstrate that using mathematical models allows you to significantly improve the ecological situation in cities, increase the capacity of roads, and increase the overall speed of vehicles. the study emphasizes the importance of developing accurate mathematical models for increasing traffic management efficiency and improving city environmental safety. © 2024 the Authors.

关键词： Travel time

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An efficient network operation automation scheme using network status information for local 5G networks 14

An efficient network operation automation scheme using netwo...

引用

14th international conference on Information and communication Technology Convergence, ICTC 2023

作者： Yoon, Mahnsuk Seo, Jihun Cho, Kyucheol Future Mobile Communication Research Center Gumi Korea Republic of Korea Transport Institute Center for Connected & Automated Driving Research Department of the Fourth Industrial Revolution & Transport Sejong Korea Republic of Kyungpook National University School of Computer Secience and Engineering Software Education Center Daegu Korea Republic of

ISBN: (纸本)9798350313277

5G SA communication technology is being recognized as a crucial technology shaping the future of wireless communication. Compared to previous generations of networks, 5G offers ultra-high-speed, low latency, and massive connectivity, presenting both enterprises and individual users with opportunities for new business models and an enhanced quality of life. One of the most significant changes between the conventional mobile communication environment and 5G is the activation of various application cases in B2B services based on the local 5G network. the local 5G network, tailored to specific sites, requires effective management of high-volume data generated in dense areas and necessitates minimizing manual intervention by administrators. the ZSM (Zero-touch Service Management) technology is gaining attention to meet these requirements. ZSM focuses on automated operations for managing large systems like commercial mobile communication networks. It is anticipated that ZSM will also be applied to the local 5G network for efficient management and operation of tailored services. this paper proposes a network management technique that minimizes administrator intervention in the local 5G network environment. the proposed network management technique collects statistical logs from local 5G network base stations and core systems, supports real-time network status checks as well as traffic predictions using machine learning. Additionally, it offers automated operation techniques for the local 5G network by incorporating functions such as disconnecting network access for devices that are factors of malfunction within the specialized network. © 2023 IEEE.

关键词： Automation of operations Local 5G networks Network Management Zero-touch Service Management

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Earthquake time-series forecast in Kazakhstan territory: Forecasting accuracy with SARIMAX 14

Earthquake time-series forecast in Kazakhstan territory: For...

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14th international conference on Emerging Ubiquitous systems and Pervasive networks / 13th international conference on Current and Future Trends of Information and communication Technologies in Healthcare, EUSPN/ICth 2023

作者： Nurtas, Marat Zhantaev, Zhumabek Altaibek, Aizhan International Information Technology University Manas str.34/1 Almaty050040 Kazakhstan LLP "Institute of the ionosphere" Institute of the Ionosphere str.117 Almaty050020 Kazakhstan

this research paper presents an analytical approach to earthquake time-series forecasting using the Seasonal Autoregressive Integrated Moving Average with Exogenous Variables (SARIMAX) models. the objective of this study is to investigate the effectiveness of the SARIMAX model in earthquake forecasting by considering relevant exogenous variables, such as historical seismic activity, geological characteristics, and geodetic measurements. We start introducing the SARIMAX models, explaining its mathematical formulation and the incorporation of exogenous variables. the research methodology involves collecting earthquake time-series data from seismological databases and preprocessing the data for analysis. Various SARIMAX models are constructed and evaluated using statistical measures, such as root mean square error and mean absolute error, to assess their forecasting accuracy. Additionally, the impact of different exogenous variables on the predictive performance of the models is analyzed. the results of this research contribute to the field of earthquake prediction by demonstrating the applicability and efficacy of the SARIMAX model in capturing the temporal patterns and dynamics of seismic events. the practical reason of the results provides valuable information for decision-makers and stakeholders involved in disaster preparedness and mitigation strategies. © 2024 Elsevier B.V.. All rights reserved.

关键词： Forecasting

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Outage Performance Analysis of RIS Assisted RSMA Network with On-Off Control 14th

Outage Performance Analysis of RIS Assisted RSMA Network wi...

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14th EAI international conference on Wireless and Satellite systems, WiSATS 2024

作者： Huang, Haiyan Jiang, Dongjie Zhang, Nina Liang, Linlin Zhang, Hongyan Lanzhou Jiaotong University Gansu Lanzhou730070 China Shaanxi General Staff of PAP Shaanxi Xi’an710054 China Xidian University Shaanxi Xi’an710071 China

ISBN: (纸本)9783031861956

In order to make future wireless communication networks efficient in spectrum and energy, reconfigurable intelligent surface (RIS) has become a practical technology that can significantly improve the coverage and performance of wireless networks. In this paper, we discuss the application of RIS technology in Rate-Splitting Multiple Access (RSMA), where the base station (BS) sends superimposed signals to multiusers through RIS. To delve deeper into investigating the efficacy of RIS-aided RSMA networks, we adopt a On-Off control scheme and consider the system performance under imperfect successive interference cancellation (ipSIC) and perfect successive interference cancellation (pSIC) respectively. On this basis, we use ipSIC/pSIC to derive the outage probability expression of the kth user. Based on the outcome analysis, the diversity order of users exhibits a correlation with the quantity of reflective elements in the RIS and channel prioritization under pSIC conditions. In addition, increasing the quantity of RIS reflective units can make up for the decrease of system outage performance caused by residual interference, and further improve the outage performance of the system. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： On-off control systems

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A YOLOv5-Based Model for Real-Time Mask Detection in Challenging Environments 14

A YOLOv5-Based Model for Real-Time Mask Detection in Challen...

引用

作者： Sapakova, Saya Sapakov, Askar Yilibule, Yelidana International Information Technology University Manas str. 34/1 Almaty050000 Kazakhstan Kazakh National Agrarian Research University Valikhanov str. 137 Almaty050000 Kazakhstan Information System Departement Kazakh National University Almaty Kazakhstan

this study aims to improve the YOLOV5 (You Only Look Once) model for real-time mask detection in complex scenarios, such as multiple objects, unclear features, and obstructions. the experiment builds upon the initial model by refining its input structure and incorporating the mosaic data augmentation technique. Additionally, it employs Spatial Pyramid Pooling Fusion (SPPF) to amalgamate local and global features at the featherMap level. the detection process is further enhanced by optimizing the overlap computation between detection frames and target frames. this refinement uses the Generalized Intersection over Union (GioU) loss function to enhance target accuracy. the system is built in PyCharm, and the dataset consists of 6005 images with masked and unmasked faces for training. the training set and test set maintain an 8:2 ratio. the enhanced facial feature extraction network efficiently detects mask-wearers in real-time, maintaining high recognition rates in crowded public spaces, supporting real-time virus transmission control in communal areas. the enhanced model achieved an impressive 92.9% recognition accuracy in this experiment, surpassing other detection models, highlighting its high quality and effectiveness. © 2024 Elsevier B.V.. All rights reserved.

关键词： Object detection

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FinTech Development: A Bibliometric Analysis of the Scopus Database (2014-2024) 15

FinTech Development: A Bibliometric Analysis of the Scopus D...

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作者： Abdinova, Makpal Lambekova, Aigerim Myrzhykbayeva, Ainur International Information Technology University 34/1 Manas Street Almaty cityand 050040 Kazakhstan Buketov Karagandy University 28 University Street Karagandaand 100024 Kazakhstan Narxoz University 55 Zhandosova Street Almaty city050035 Kazakhstan

the aim of the article is to analyse the tendency of financial technology (FinTech) development between 2014-mid-2024 using the Scopus database and VOSviewer software to explore the tendency of FinTech development, the highest cited authors, countries that contributed more, and clusters of this rapidly growing field globally. 1,526 articles were selected from the Scopus database using publication year, document type, publication stage, and language parameters. this study focuses on publication years, authors, and countries that made more contribution to its development as well as keywords, citations and subject areas related with financial technology. the findings disclosed that financial technology is flourishing over this period of time. Currently China contributes more to publication of articles related with financial technology which have sharply increased from 2020 to mid-2024 a total of 188 documents. the major subject area is Economics, Econometrics and Finance with 22%. the most cited author is Dariusz Wójcik from Oxford University, UK. 4 main clusters have been identified using on-occurrence analysis of keywords which are fintech, blockchain, banking, and sustainable development. the result of the bibliometric analysis shows that this topic will continue developing in the nearest future attracting the attention not only researchers, as well regulators and practitioners. © 2024 the Authors.

关键词： Decentralized finance

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Energy Efficiency Maximization via Joint Beamforming and Power Control for URLLC Service in Network-Assisted Full Duplex systems 14

Energy Efficiency Maximization via Joint Beamforming and Pow...

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14th IEEE international conference on Wireless communications and Signal Processing (WCSP)

作者： Yin, Yuting Liu, Bo Zhu, Pengcheng Li, Jiamin Wang, Yan Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China

ISBN: (纸本)9781665450850

this paper considers a resource allocation problem of ultra reliable low-latency communication (URLLC) for MIMO Network-Assisted Full Duplex (NAFD) systems. Our primary aim is to maximize the system energy efficiency (EE) through joint downlink (DL) beamforming and uplink (UL) power control, subject to quality-of-service constraints and power constraints. Due to the non-convexity of the optimization problem, it is very hard to obtain the global optimal solution. thus, we propose a low computational complexity algorithm to find the suboptimal solution of the problem. Simulation results show that the proposed algorithm can converge fast and significantly improve the EE for the NAFD-URLLC system.

关键词： Ultra-reliable and low-latency communication (URLLC) network-assisted full duplex (NAFD) energy efficiency (EE) power control beamforming

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An Automation Platform for Slice Creation using Open Source MANO 14

An Automation Platform for Slice Creation using Open Source ...

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14th international conference on communications, COMM 2022

作者： Coutu, Cosmin Ciobanu, Andra Borcoci, Eugen Vochin, Marius-Constantin Li, Frank Y. University Politehnica of Bucharest Department of Telecommunications Bucharest061071 Romania Department of Information and Communication Technology GrimstadN-4885 Norway

ISBN: (纸本)9781665494854

Network slicing is an emerging concept that can provide parallel virtual networks (slices) as dedicated solutions for various tenants. Slices can be built based on the infrastructure with the same hardware, but they are logically isolated from the viewpoint of service provisioning and security. Network Function Virtualization (NFV) plays an essential role in a sliced system by providing the softwarization of the network functions. Powerful orchestration and management functions are important in order to construct run and adapt the complex NFV framework to satisfying the needs of tenants. One popular orchestrator is Open Source MANO project that provides a software stack for orchestration. In this paper, an automated solution to make the process of slice creation with this orchestrator is proposed. the automation platform is developed by using React, a widely used JavaScript framework. © 2022 IEEE.

关键词： Network function virtualization

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