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IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： Dimitrios Tyrovolas Nikos Mitsiou Thomas Boufikos Sotiris Tegos Prodromos-Vasileios Mekikis Panagiotis Diamantoulakis Sotiris Ioannidis Christos Liaskos George Karagiannidis Department of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece Dept. of Electrical and Computer Engineering Technical University of Crete Chania Greece Hilti Corporation Feldkircher Strasse 100 Schaan Liechtenstein Computer Science Engineering Department University of Ioannina Ioannina Greece Artificial Intelligence & Cyber Systems Research Center Lebanese American University (LAU) Lebanon

ISBN: (数字)9798350362244

ISBN: (纸本)9798350362251

Unmanned aerial vehicles (UAVs) equipped with full-duplex relays (FDRs) are pivotal in overcoming connectivity challenges by dynamically establishing effective communication channels. However, despite their potential in network performance via trajectory optimization, integrating energy consumption models for UAV-mounted FDRs remains unexplored, crucial for trajectory design adhering to existing energy constraints. To this end, we introduce an energy-aware trajectory optimization framework to maximize network performance and user fairness within the UAV’s energy constraints. Specifically, we present a detailed energy consumption model describing the operational needs of UAV-mounted FDRs and formulate a joint time-division multiple access (TDMA) user scheduling-UAV trajectory optimization problem considering the power dynamics of UAV-mounted FDRs. Finally, our simulation results highlight the role of energy awareness in achieving optimal trajectory and scheduling, contributing to UAV-mounted FDRs’ performance in future networks.

关键词： Energy consumption Time division multiple access Trajectory planning Simulation Full-duplex system Network architecture Autonomous aerial vehicles Vehicle dynamics Relays Trajectory optimization

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Enhancing UAV Network Efficiency through 6G+ Enabled Federated Learning Algorithms and Energy optimization Techniques

Enhancing UAV Network Efficiency through 6G+ Enabled Federat...

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International Wireless Communications and Mobile Computing Conference, IWCMC

作者： Andreas Andreou Constandinos X. Mavromoustakis Jordi Mongay Batalla Evangelos Markakis Athina Bourdena George Mastorakis Houbing Song Department of Computer Science University of Nicosia Nicosia Cyprus Warsaw University of Technology Warsaw Poland Department of Electrical and Computer Engineering Hellenic Mediterranean University Heraklion Crete Greece Department of Management Science and Technology Hellenic Mediterranean University Agios Nikolaos Crete Greece Department of Information Systems University of Maryland Baltimore MD USA

ISBN: (数字)9798350361261

ISBN: (纸本)9798350361278

This study presents an innovative approach to enhancing the efficiency of Unmanned Aerial Vehicles (UAV) in IoT networks. Employing UAVs as flying relays focuses on their role in data collection and support for terrestrial cellular networks. The central innovation lies in the application of Federated Learning (FL), which processes data while ensuring user privacy and reducing communication overhead. Addressing the challenge of UAVs’ limited battery life, which restricts sustained FL operations, we introduce the Enhanced UAV Network optimization Algorithm with Adaptive Spatial Play (ENUO-ASP). ENUOASP incorporates a modified Particle Swarm optimization (PSO) technique to determine optimal UAV placements, enhancing data collection by focusing on the Signal-to-Interference Ratio (SINR). Additionally, the paper utilizes the Deep Deterministic Policy Gradient (DDPG) method for dynamic resource allocation, optimizing energy consumption and reducing link latency between the UAV network and users. The findings indicate that the ENUO algorithm outperforms existing methods by achieving higher data rates and balanced SINR. Furthermore, the ASP resource allocation strategy improves FL execution, significantly lowering latency and energy use. This research contributes to the UAV-enabled communication field, offering a more efficient and performance-driven solution for advanced IoT applications.

关键词： Wireless communication Technological innovation Federated learning Heuristic algorithms Interference Autonomous aerial vehicles Resource management

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Collaborative Human-AI Decision-Making systems with Numerical Channels 12

Collaborative Human-AI Decision-Making Systems with Numerica...

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12th International Conference on Advanced computer Information Technologies, ACIT 2022

作者： Oksana, Mules Kotsipak, Mykola Dolgikh, Serge Bilak, Yurii Radivilova, Tamara Baranovskyi, Oleksii Uzhhorod National University Department of Software Systems Uzhhorod Ukraine Bratislava Slovakia Solana Networks Department of Network Engineering Ottawa Canada Kharkiv National University of Radio Electronics Department of V.V.Popovskyy Infocommunication Engineering Kharkiv Ukraine Blekinge Institute of Technology Department of Computer Science Blekinge Karlskrona Sweden

ISBN: (纸本)9781665466479

This work is devoted to the study of the features of functioning in Collaborative Human-AI Decision-Making systems with numerical channels. The system operates in automatic mode without external influences. The channels can be both artificial intelligence software and competent experts giving conclusions on the question under study. The cases considered are those in which an agreed solution must be numerical and logical. For each of these cases, decision rules for the system have been developed. The developed rules include the ability to take into account the reliability of the channels, which allows expanding their number in the system if necessary. © 2022 IEEE.

关键词： Decision making

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Phase chimera states on nonlocal hyperrings

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Physical Review E 2024年第2期109卷 L022201-L022201页

作者： Riccardo Muolo Thierry Njougouo Lucia Valentina Gambuzza Timoteo Carletti Mattia Frasca Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo 152-8552 Japan Department of Mathematics University of Namur B5000 Namur Belgium naXys Namur Institute for Complex Systems University of Namur B5000 Namur Belgium Faculty of Computer Science University of Namur B5000 Namur Belgium Department of Electrical and Electronic Engineering University of Buea P.O. Box 63 Buea Cameroon Department of Electrical Electronics and Computer Science Engineering University of Catania 95125 Catania Italy Istituto di Analisi dei Sistemi ed Informatica “A. Ruberti” IASI-CNR 00185 Roma Italy

Chimera states are dynamical states where regions of synchronous trajectories coexist with incoherent ones. A significant amount of research has been devoted to studying chimera states in systems of identical oscillators, nonlocally coupled through pairwise interactions. Nevertheless, there is increasing evidence, also supported by available data, that complex systems are composed of multiple units experiencing many-body interactions that can be modeled by using higher-order structures beyond the paradigm of classic pairwise networks. In this work we investigate whether phase chimera states appear in this framework, by focusing on a topology solely involving many-body, nonlocal, and nonregular interactions, hereby named nonlocal d-hyperring, (d+1) being the order of the interactions. We present the theory by using the paradigmatic Stuart-Landau oscillators as node dynamics, and we show that phase chimera states emerge in a variety of structures and with different coupling functions. For comparison, we show that, when higher-order interactions are “flattened” to pairwise ones, the chimera behavior is weaker and more elusive.

关键词： Chimera states Collective behavior in networks Dynamics of networks Pattern formation Synchronization Synchronization transition

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Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues

arXiv

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arXiv 2023年

作者： Wang, Hongru Hu, Minda Deng, Yang Wang, Rui Mi, Fei Wang, Weichao Wang, Yasheng Kwan, Wai-Chung King, Irwin Wong, Kam-Fai Department of Systems Engineering and Engineering Management Hong Kong Department of Computer Science and Engineering The Chinese University of Hong Kong China National University of Singapore Singapore Huawei Noah’s Ark Lab Canada

Open-domain dialogue system usually requires different sources of knowledge to generate more informative and evidential responses. However, existing knowledge-grounded dialogue systems either focus on a single knowledge source or overlook the dependency between multiple sources of knowledge, which may result in generating inconsistent or even paradoxical responses. To incorporate multiple knowledge sources and dependencies between them, we propose SAFARI, a novel framework that leverages the exceptional capabilities of large language models (LLMs) in planning, understanding, and incorporating under both supervised and unsupervised settings. Specifically, SAFARI decouples the knowledge grounding into multiple sources and response generation, which allows easy extension to various knowledge sources including the possibility of not using any sources. To study the problem, we construct a personalized knowledge-grounded dialogue dataset Knowledge Behind Persona (KBP), which is the first to consider the dependency between persona and implicit knowledge. Experimental results on the KBP dataset demonstrate that the SAFARI framework can effectively produce persona-consistent and knowledge-enhanced responses. © 2023, CC BY-NC-ND.

关键词： Computational linguistics

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pmcEDF: An Energy Efficient Procrastination Scheduler for Multi-core Mixed Criticality systems 23

pmcEDF: An Energy Efficient Procrastination Scheduler for Mu...

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23rd IEEE International Conference on High Performance Computing and Communications, 7th IEEE International Conference on Data science and systems, 19th IEEE International Conference on Smart City and 7th IEEE International Conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Colaco, Louella Pai, Amol Raveendran, Biju K. Punnekkat, Sasikumar Bits Pilani K. K. Birla Goa Campus Department of Computer Science & Information Systems Goa India School of Innovation Design & Engineering Mälardalen University Västerås Sweden

ISBN: (纸本)9781665494571

The ever increasing computational demands with size, weight, energy, power and time guidelines necessitates innovative energy efficient techniques in multi-core mixed criticality applications. Energy efficient design considerations include energy optimization techniques such as dynamic-voltage-and-frequency-scaling (DVFS) and dynamic-power-management (DPM). DPM techniques of procrastination and power shutdown reduce static and dynamic energy consumption efficiently. This work presents pmcEDF, a procrastination technique that extends the Earliest Deadline First with Virtual Deadlines (EDF-VD) scheduler to support both non-shutdown and shutdown cores. pmcEDF aims to reduce static and dynamic energy consumption by ensuring high criticality job deadlines without hampering quality of service by accommodating feasible low criticality jobs. Experimental evaluation shows that the proposed algorithm provides a total energy saving of 3.61%, 4.76% and 39.16% over existing EDF/EDF-VD based techniques. © 2021 IEEE.

关键词： Energy consumption Smart cities Multicore processing Heuristic algorithms Quality of service Energy efficiency Resource management

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Quantum-Assisted Joint Virtual Network Function Deployment and Maximum Flow Routing for Space Information Networks

arXiv

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arXiv 2024年

作者： Zhang, Yu Gong, Yanmin Fan, Lei Wang, Yu Han, Zhu Guo, Yuanxiong Department of Electrical and Computer Engineering University of Texas San AntonioTX78249 United States Department of Engineering Technology Department of Electrical and Computer Engineering University of Houston HoustonTX77204 United States Department of Computer and Information Sciences Temple University PhiladelphiaPA19122 United States Department of Electrical and Computer Engineering University of Houston HoustonTX77204 United States Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of Department of Information Systems and Cyber Security University of Texas San AntonioTX78249 United States

Network function virtualization (NFV)-enabled space information network (SIN) has emerged as a promising method to facilitate global coverage and seamless service. This paper proposes a novel NFV-enabled SIN to provide end-toend communication and computation services for ground users. Based on the multi-functional time expanded graph (MF-TEG), we jointly optimize the user association, virtual network function (VNF) deployment, and flow routing strategy (U-VNF-R) to maximize the total processed data received by users. The original problem is a mixed-integer linear program (MILP) that is intractable for classical computers. Inspired by quantum computing techniques, we propose a hybrid quantum-classical Benders' decomposition (HQCBD) algorithm. Specifically, we convert the master problem of the Benders' decomposition into the quadratic unconstrained binary optimization (QUBO) model and solve it with quantum computers. To further accelerate the optimization, we also design a multi-cut strategy based on the quantum advantages in parallel computing. Numerical results demonstrate the effectiveness and efficiency of the proposed algorithm and U-VNF-R scheme. © 2024, CC BY.

关键词： Integer programming

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Extracting GHZ states from linear cluster states

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Physical Review Research 2024年第1期6卷 013330-013330页

作者： J. de Jong F. Hahn N. Tcholtchev M. Hauswirth A. Pappa Electrical Engineering and Computer Science Department Technische Universität Berlin 10587 Berlin Germany Dahlem Center for Complex Quantum Systems Freie Universität Berlin 14195 Berlin Germany Fraunhofer Institute for Open Communication Systems - FOKUS 10589 Berlin Germany

Quantum information processing architectures typically only allow for nearest-neighbor entanglement creation. In many cases, this prevents the direct generation of GHZ states, which are commonly used for many communication and computation tasks. Here, we show how to obtain GHZ states between nodes in a network that are connected in a straight line, naturally allowing them to initially share linear cluster states. We prove a strict upper bound of ⌊(n+3)/2⌋ on the size of the set of nodes sharing a GHZ state that can be obtained from a linear cluster state of n qubits, using local Clifford unitaries, local Pauli measurements, and classical communication. Furthermore, we completely characterize all selections of nodes below this threshold that can share a GHZ state obtained within this setting. Finally, we demonstrate these transformations on the IBMQ Montreal quantum device for linear cluster states of up to n=19 qubits.

关键词： Measurement-based quantum computing Quantum communication Quantum entanglement Quantum networks Superconducting qubits

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Development of measurement system for subsurface scattering light of skin and analysis of its age-related changes

Development of measurement system for subsurface scattering ...

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Biomedical Imaging and Sensing Conference 2023

作者： Kikuchi, K. Katsuyama, M. Shibata, T. Hardeberg, J.Y. Yuasa, T. Aizu, Y. Shiseido Co. Ltd. MIRAI Technology Institute 1-2-11 Takashima Nishiku Yokohama220-0011 Japan Department of Computer Science Faculty of Information Technology and Electrical Engineering Norwegian University of Science and Technology Teknologivegen 22 Gjøvik2815 Norway Division of Production Systems Engineering Muroran Institute of Technology 27-1 Mizumoto Muroran Hokkaido050-8585 Japan

ISBN: (纸本)9781510663435

We have developed a system that separates and measures the optical properties of skin, i.e., the surface reflection, diffuse reflection, and sub-surface scattering components of the skin. This system includes two polarization filters that separate light from the skin into a surface reflection component image and a diffuse reflection component image. Furthermore, by using a projector as a light source and irradiating the skin using a high-frequency binary illumination pattern, the subsurface scattering component image alone can be separated and generated. Using the proposed system, we performed a survey of 154 Japanese women aged from their 20s to their 70s and analyzed age-related changes in the optical properties of their skin. The results revealed the following. First, the luminance value Y of the surface reflection from the cheek and its standard deviation within the analysis area increase with age. Second, the Y value of diffuse reflection from the skin decreases with age. Third, the amount of light in the sub-surface scattering components also decreases with age. The proposed system is expected to have a wide range of applications in the medical and cosmetic fields. © 2023 SPIE.

关键词： Surface scattering

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Development of an Interactive Map Within the Implementation of Actual State and Public Directions 12

Development of an Interactive Map Within the Implementation ...

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12th International Conference on Advanced computer Information Technologies, ACIT 2022

作者： Lupei, Maksym Shlahta, Myroslav Mitsa, Oleksandr Horoshko, Yurii Tsybko, Hanna Gorbachuk, Vasyl Institute of Cybernetics of National Academy of Sciences of Ukraine Department of Intellectual Information Technologies Kyiv Ukraine Lviv National University Department of Ukrainian Geographics Lviv Ukraine Uzhhorod National University Department of Informative and Operating Systems and Technologies Uzhhorod Ukraine Taras Shevchenko National University 'Chernihiv Colehium' Department of Computer Science and Computer Engineering Chernihiv Ukraine

ISBN: (数字)9781665410502

ISBN: (纸本)9781665466479

The problem of developing an effective way to display selected dynamic information of geographical content on an interactive map is being investigated. Various approaches to solving this problem are analyzed, including the use of Python programming language. Pointing out their advantages and disadvantages, the paper proposes an approach that allows one to complete the task in full with high efficiency and low cost of time and human resources. It is based on a model that uses a Data science methodology of five stages: obtaining primary data, data processing, necessary calculations, visualization creating and visualization disseminating. As a source of data there were used open data from the web portal 'Diia', developed by the Ministry of Digital Transformation of Ukraine, and data from the Institute of National Memory. The processing of the data was as follows: each toponym was assigned a localization binding and it was determined whether it falls under the law on decommunization or not. The processed data were visualized using the Google Maps web mapping service. Each non-decommunized object was marked on the map. The interactive map is integrated into the Analitycs-UA web portal. © 2022 IEEE.

关键词： Geographic information systems

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