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检索条件"任意字段=14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022"

共 2083 条记录，以下是351-360 订阅

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Survey on Challenges and Solutions of C-V2X: LTE-V2X communication Technology 14

Survey on Challenges and Solutions of C-V2X: LTE-V2X Communi...

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

作者： Hur, Donghyeon Lee, Donghyun Oh, Junsuk Won, Dongwook Song, Chihyun Cho, Sungrae Chung-Ang University School of Computer Science and Engineering 221 Heukseok Dongjak Seoul Korea Republic of

ISBN: (纸本)9798350335385

In Vehicle-to-Everything (V2X) communications, various tasks have been performed to enable various applications for traffic efficiency, road safety and passenger infotainment. this paper deals with challenges and solutions of the core technology of Cellular V2X (C-V2X) communication that provides high reliability and low latency as it evolves from Long Term Evolution (LTE)-V2X to LTE-enhanced V2X (eV2X) and 5G-New Radio (NR)-V2X. And High throughput communication technologies. Finally, we will further invest gate and discuss research directions that can solve the challenges of C-V2X in the future. © 2023 IEEE.

关键词： Vehicle to Everything

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Various Object Trackers for UAV Chasing of Counter UAV systems 14

Various Object Trackers for UAV Chasing of Counter UAV Syste...

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

作者： Kim, Kyubin Kim, Jaehong Lee, Han-Gyeol Joung, Jingon Chung-Ang University School of Electrical and Electronics Engineering Seoul06974 Korea Republic of

ISBN: (纸本)9798350335385

In this study, we examine eight different object trackers for UAV chasing. the chasing algorithm employs version three of you only look once version (YOLOv3) and the considered object tracker. Following an object tracking benchmark, success rate, precision, and complexity were compared. From the numerical results, it was shown that the proposed UAV chasing algorithm with a tracker achieves improved chasing performance with less computational complexity. © 2023 IEEE.

关键词： Antennas

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Trust Level Evaluation Engine for Dynamic Trust Assessment with Reference to Subjective Logic 1

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14th IFIP WG 11.11 international conference on Trust Management, IFIPTM 2023

作者： Petrovska, Ana Gelardi, Gabriele Demirci, Hüseyin Koçyiğit, Emre Lenzini, Gabriele Hermann, Artur Trkulja, Nataša Kargl, Frank Krontiris, Ioannis Dimitrakos, theo Huawei Technologies Munich Germany SnT/University of Luxembourg Luxembourg Luxembourg Institute of Distributed Systems Ulm University Ulm Germany School of Computing University of Kent Canterbury United Kingdom

ISBN: (数字)9783031767142

ISBN: (纸本)9783031767135

We propose an architectural design for a Trust Level Evaluation Engine. the engine is meant to work in a complex and dynamic environment of potentially untrustworthy sources of information where the situational knowledge is partial and subjective from the viewpoint of the information source, thus potentially inconsistent and contradictory. Consistently with a Zero-Trust approach, no initial trust between nodes should be assumed, since a decision-making module shall nevertheless figure out its level of confidence about the truth of a proposition over the reality. Our design is theory-agnostic and can be instantiated on different mathematical subjective model theories, but we demonstrate its feasibility by mapping it on the Subjective Logic. We also discuss critical design choices and algorithmic details that are only partially addressed in the abstract description of the theory, and we demonstrate how the engine effectively works on large and complex subjective trust networks. Additionally, we offer a proof-of-concept implementation to showcase the proposed architecture’s ability to handle intricate and complex networks. © IFIP international Federation for Information Processing 2024.

关键词： Computer circuits

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Cost-efficient Deployment Scheme for User and Control Plane Functions in Non-public networks 14

Cost-efficient Deployment Scheme for User and Control Plane ...

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

作者： Kyung, Yeunwoong Lee, Jaewook Jang, Seokwon Ko, Haneul Song, Taewon Kongju National University Division of Information and Communication Engineering Cheonan Korea Republic of Pukyong National University Department of Information and Communication Engineering Busan Korea Republic of Electronics and Telecomm. Research Institute Mobile Core Network Research Section Daejeon Korea Republic of Kyung Hee University Department of Electronic Engineering Yongin-Si Korea Republic of Soonchunhyang University Department of Internet of Things Asan Korea Republic of

ISBN: (纸本)9798350313277

Non-public networks (NPNs) have been considered as a promising technology to provide secure and customized services. there are several deployment options for NPNs according to the placement of network functions (NFs). To enhance the network performance, it is required to deploy more control plane NFs (CPFs) and user plane NFs (UPFs) in NPN. However, deploying more NFs can increase operating expenditure (OPEX) for the NPN operator. To assess this problem, this paper formulates a Markov decision process (MDP) and uses the policy iteration method to find the optimal policy. the simulation results show that the proposed scheme outperforms the comparison schemes in terms of the total reward. © 2023 IEEE.

关键词： Markov decision process (MDP) network function (NF) deployment Non-public networks (NPNs)

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Safety Aspects of the Wheeled Mobile Robot 14

Safety Aspects of the Wheeled Mobile Robot

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14th international conference ELEKTRO, ELEKTRO 2022

作者： Nemec, Dusan Andel, Jan Simak, Vojtech Pirnik, Rastislav University of Zilina Faculty of Electrical Engineering and Information Technology Department of Control and Information Systems Zilina Slovakia

ISBN: (纸本)9781665467261

this paper discusses the safety of mobile robots and proposes improvements by specific methods of collision avoidance, and by changes of logical architecture or the communication protocol. the proposed architecture is semi-distributed, which allows optimalization of the load balance among components while supporting strict safety rules. Such approach allows development of small-size mobile intelligent robots using low-cost computational hardware. © 2022 IEEE.

关键词： Mobile robots

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Wideband Sparse Cascaded Channel Estimation for RIS-Assisted Wireless systems 14

Wideband Sparse Cascaded Channel Estimation for RIS-Assisted...

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

作者： Mo, Xiaohao Gui, Lin Sang, Xichao Diao, Xiaqing Shanghai Jiao Tong Univ Dept Elect Engn Shanghai Peoples R China

ISBN: (纸本)9781665450850

In this paper, we propose a wideband channel estimation scheme for millimeter wave (mmWave) systems, where a reconfigurable intelligent surface (RIS) is deployed to assist the wireless communication between the base station and users. Based on the sparsity nature of the mmWave channel, we transform the channel estimation problem into a sparse signal recovery problem. the common support assumption is no longer satisfied when we consider the wideband effect, therefore, we design adaptive blocks to detect the support of each subcarrier, and propose the adaptive block simultaneous orthogonal matching pursuit (ABSOMP) algorithm. Simulation results demonstrate that the proposed scheme can achieve better performance when compared with conventional compressive sensing (CS) based methods.

关键词： RIS channel estimation compressive sensing wideband effect

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the Erosion of Competencies in Managing Innovation Projects due to the Impact of Ubiquitous Artificial Intelligence systems 14

The Erosion of Competencies in Managing Innovation Projects ...

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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： Bushuyev, Sergiy Bushuiev, Denis Bushuieva, Victoria Bushuyeva, Natalia Murzabekova, Svetlana Kiev National University of Construction and Architecture Kiev Ukraine EKazakhstan project management association Kazakhstan

the rapid advancement of artificial intelligence (AI) systems has had a profound impact on various aspects of business and technology. One area greatly influenced by AI is innovation project management, which plays a critical role in driving organizational growth and success. the purpose of the paper examines the erosion of competencies in innovation project management as a consequence of the increasing reliance on AI systems. the object is innovation project management relying on the expertise, experience, and decision-making capabilities of human managers. However, the introduction of AI systems in project management processes has brought about significant changes. AI-powered tools and algorithms can automate tasks, analyse vast amounts of data, and provide valuable insights and recommendations. While this presents numerous benefits, it also raises concerns about the diminishing role of human competencies in managing innovation projects. AI systems require vast amounts of training data to operate effectively. In the process, they might overlook or undervalue the tacit knowledge and domain expertise possessed by human project managers. the results emphasize the need for project managers to develop new competencies, such as understanding AI capabilities, interpreting AI-generated insights, and effectively integrating AI systems into project workflows. To mitigate the erosion of competencies, organizations should invest in training programs that equip project managers with the necessary skills to work alongside AI systems. Recognizing these challenges and proactively addressing them through training, collaboration, and a balanced approach to human-AI interaction is crucial for organizations seeking to leverage AI while maintaining a high level of project management expertise. © 2024 the Authors. Published by Elsevier B.V.

关键词： Project management

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Evaluating the Performance of the YOLO Object Detection Framework on COCO Dataset and Real-World Scenarios 15

Evaluating the Performance of the YOLO Object Detection Fram...

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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： Desai, Miral Mewada, Hiren Pires, Ivan Miguel Roy, Sparsh V T Patel Department of Electronics & Communication Engineering Chandubhai S Patel Institute of Technology Charotar University of Science & Technology Gujarat Changa India Electrical Engineering Department Prince Mohammad bin Fahd University P.O. Box 1664 Al Khobar31952 Saudi Arabia Instituto de Telecomunicações Escola Superior de Tecnologia e Gestão de Agueda Universidade de Aveiro Águeda Portugal

Object detection is one of the cutting-edge tools of computer vision to present the content of an image or video frame. Object recognition describes the entire scene in the frame. So many sophisticated algorithms are available to detect and recognize the object in the frame. the YOLO framework has changed the world of computer vision because of its accurate detection feature. the proposed article focuses on the YOLO framework for object detection. the YOLO framework has been applied to the various images of the COCO dataset. the presence of object and object class probability is measured in the form of an intersection of unions. the YOLO framework is applied to real-time input sources like groups of people as multiple objects for validation. It gives an accuracy between 73% and 85% for the group of people as multiple objects. © 2024 the Authors.

关键词： Neural Network Real-time object detection YOLO

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An international Digital Learning Experience: the "Reinserta" Challenge 25th

An International Digital Learning Experience: The "Reinserta...

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25th international conference on Interactive Collaborative Learning (ICL) / 51st IGIP international conference on Engineering Pedagogy

作者： Uribe-Bravo, Ericka Hernandez-Zelaya, Sandra Lizzeth Tecnol Monterrey Sch Business Monterrey Mexico Pontifical Univ Salamanca Salamanca Spain

ISBN: (纸本)9783031268755;9783031268762

the purpose of this paper is to analyze the benefits of an international academic project based on a collaborative online learning (COIL) experience. In addition to the online learning experience, the students worked on a challenge-based learning methodology with the objective of making them addressing a social issue of the real world. the project chosen for the students' international learning experience was, at the same time, oriented and supportive to the United Nations Sustainable Development Goal #4 "Quality Education". It incorporated a case study centered on an NGObased inMexico called "Reinserta", devoted to develop educational and academic programs for minors living in juvenile detention centers or jail. the purpose of this international digital experience was threefold. First, the international and multicultural learning the students will experienced by team-working with foreign classmates. Second, the usage of technology and digital platforms for the students to accomplish the communication and academic tasks requested at each stage of the project. third, to embrace the aim of an ONG supporting a social cause which most of the times is not visible, or fades away easily, for University-College students.

关键词： Digital learning SDG internationalization Education COIL

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14th international conference on communications, COMM 2022 - Proceedings

14th International Conference on Communications, COMM 2022 -...

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14th international conference on communications, COMM 2022

ISBN: (纸本)9781665494854

the proceedings contain 76 papers. the topics discussed include: network softwarization: developments and challenges;efficient identification of acoustic linear systems;unsupervised online horizontal misalignment detection algorithm for automotive radar;a new integer algorithm for a VLSI implementation of DCT using obfuscation technique;a mini-review on radio frequency fingerprinting localization in outdoor environments: recent advances and challenges;fast canonical Huffman decoder;unsupervised deep learning models for aerosol layers segmentation;cryptographic mixing transformations and message embedding in chaotic systems;fast image encryption algorithm based on multiple chaotic maps;performance evaluation of a visible light communication system for indoor navigation;revisiting the idea of a representative linguistic corpus;and a comparative study on global compensation techniques for coherent optical communications.

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