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arXiv 2025年

作者： Zhang, Chuang Sun, Geng Li, Jiahui Wang, Jiacheng Zhang, Ruichen Niyato, Dusit Mao, Shiwen Quek, Tony Q.S. Computer Science and Technology Jilin University Changchun130012 China Singapore University of Technology and Design Singapore487372 Singapore College of Computer Science and Technology Jilin University Changchun130012 China College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun130012 China Department of Electrical and Computer Engineering Auburn University AuburnAL36849 United States Information System Technology and Design Pillar Singapore University of Technology and Design Singapore487372 Singapore

An integration of satellites and terrestrial networks is crucial for enhancing performance of next generation communication systems. However, the networks are hindered by the long-distance path loss and security risks in dense urban environments. In this work, we propose a satellite-terrestrial covert communication system assisted by the aerial active simultaneous transmitting and reflecting reconfigurable intelligent surface (AASTAR-RIS) to improve the channel capacity while ensuring the transmission covertness. Specifically, we first derive the minimal detection error probability (DEP) under the worst condition that the Warden has perfect channel state information (CSI). Then, we formulate an AASTAR-RIS-assisted satellite-terrestrial covert communication optimization problem (ASCCOP) to maximize the sum of the fair channel capacity for all ground users while meeting the strict covert constraint, by jointly optimizing the trajectory and active beamforming of the AASTAR-RIS. Due to the challenges posed by the complex and high-dimensional state-action spaces as well as the need for efficient exploration in dynamic environments, we propose a generative deterministic policy gradient (GDPG) algorithm, which is a generative deep reinforcement learning (DRL) method to solve the ASCCOP. Concretely, the generative diffusion model (GDM) is utilized as the policy representation of the algorithm to enhance the exploration process by generating diverse and high-quality samples through a series of denoising steps. Moreover, we incorporate an action gradient mechanism to accomplish the policy improvement of the algorithm, which refines the better state-action pairs through the gradient ascent. Simulation results demonstrate that the proposed approach significantly outperforms important benchmarks, and also validate the performance and practicality under different algorithm parameters and environment settings. Copyright © 2025, The Authors. All rights reserved.

关键词： Deep reinforcement learning

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AI-based sensor layout for predicting thermal deformations of CFRP machine tools

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CIRP Annals 2025年

作者： Finkeldey, Felix Kato, Makoto Wiederkehr, Petra Kakinuma, Yasuhiro Virtual Machining Department of Computer Science TU Dortmund University Dortmund Germany Lamarr Institute for Machine Learning and Artificial Intelligence Dortmund Germany Department of System Design Engineering Faculty of Science & Technology Keio University Yokohama Kohoku-ku Japan

Using data-based approaches, accurate predictions of thermal deformations, which can significantly affect the quality of manufactured components, can be enabled. However, a sufficient amount of data with maximised information content is necessary for efficient training. In this paper, an approach for optimising sensor configurations for predicting thermal deformations is presented. From initially 300 temperature sensors, the number of required sensors was significantly reduced while maintaining predictive accuracy. Furthermore, a pattern for sensor placement was identified, providing the potential for an efficient sensor layout that enables cost-effective data acquisition and improved monitoring of machining and wear progression of machine tool components. © 2025 The Authors

关键词： Metal working tools

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Analyzing Customer Churn: A Comparative Study of Machine Learning Models on Pay-TV Subscribers in Turkey 4

Analyzing Customer Churn: A Comparative Study of Machine Lea...

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4th International Informatics and Software engineering Conference, IISEC 2023

作者： Hatas, Tugce Aydin Obali, Emir Yildiz, Aysenur Caliskan, Sibel Kirmizigul Karani Yilmaz, Veysel Kara, Erkan Mese, Yasemin Kurtcu Oz, Ebru Cakar, Tuna MEF University Information Technologies Istanbul Turkey Andromeda TV Digital Plat. Op. Inc. Subscriber Retention Manager Istanbul Turkey Andromeda TV Digital Plat. Op. Inc. RandD/Design Center Specialist Istanbul Turkey Andromeda TV Digital Plat. Op. Inc. Business Intelligence Manager Istanbul Turkey Andromeda TV Digital Plat. Op. Inc. Inf. Tech. and System Network CTO Istanbul Turkey Andromeda TV Digital Plat. Op. Inc. RandD Center Manager Istanbul Turkey Andromeda TV Digital Plat. Op. Inc. CVM and Loyalty Director Istanbul Turkey MEF University Computer Engineering Istanbul Turkey

ISBN: (纸本)9798350318036

Understanding the reasons for customer churn provides added value in terms of retaining existing customers, as customer attrition leads to revenue loss for companies and incurs marketing costs for acquiring new customers. In this study, the 6-month historical data of a Pay-TV company operating in Turkey was used, and due to the imbalanced nature of the dataset on a label basis, the oversampling method was applied. During the model development phase, various artificial learning algorithms (Random Forest, Logistic Regression, KNearest Neighbors, Decision Tree, AdaBoost, XGBoost, Extra Tree Classifier) were utilized, and their performances were compared. Based on the evaluation of success criteria for each model, it was observed that the tree-based Random Forest, Extra Tree Classifier and XGBoost achieved the highest performance for this dataset. © 2023 IEEE.

关键词： Decision trees

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Formation of Digital Competence of Future Specialists in Electrical engineering during Distance Learning

Formation of Digital Competence of Future Specialists in Ele...

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International Conference on Modern Electrical and Energy systems (MEES)

作者： Maryna Grynova Iryna Shvedchykova Natalia Kononets Iryna Soloshych Iryna Bunetska Department of Pedagogical Skills and Management Named After I.A. Zyazyun Poltava National Pedagogical University Named After V.G. Korolenko Poltava Ukraine Department of Computer Engineering and Electromechanics Kyiv National University of Technologies and Design Kyiv Ukraine Department of Economic Cybernetics Business Economics and Information System University of Ukoopspilka "Poltava University of Economics and Trade" Poltava Ukraine Department of Ecological Safety and Natural Management Kremenchuk Mykhailo Ostrohradskyi National University Kremenchuk Ukraine School of Foreign Languages and Literatures Lanzhou University Lanzhou China

The formation model of digital competence of future specialists in electrical engineering during distance learning of the computer technologies in the design of electromechanical systems, which is based on narrative-digital and resource-oriented approaches, was developed and experimentally tested. The concept of "digital competence of future specialists", the components of the professional training of future specialists in electrical engineering, has been specified. The didactic support of the educational discipline "computer technologies in design" has been improved. The main areas of formation of structural components of digital competence were further developed and specified during distance learning. The developed digital narratives can be applied to improve the quality of digital educational and methodological content of distance courses on any platform for distance learning.

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Parametric heart activity condensed photoacoustic stimulation from MRI images

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AIP Conference Proceedings 2023年第1期2523卷

作者： T. Senthil Kumar Maram Ashok M. Suresh Anand Karthikeyan Palaniappan 1Department of Electronics and Communication Engineering GRT Institute of Engineering and Technology Tiruttani Tamil Nadu India. 2Department of Computer Science and Engineering Malla Reddy Institute of Engineering and Technology Secunderabad Telangana India. 3Department of Computer Science and Engineering Sri Sairam Engineering College Chennai Tamil Nadu India. 4Department of Centre for System Design Computer Science and Engineering Chennai Institute of Technology Chennai Tamil Nadu India.

In this article, we propose a computer research approach that uses only a few tomographic optoacoustic projections to analyze main components for high-frame volumetric heart imagery is seen herein in the non-invasive imaging of a smoking rodent. This approach is beneficial for discerning periodic movements. The training process allows the heart motion information to be effectively compressed and used in a higher frame rate as prior information for image restoration. Image consistency with report book decrease in the data flow is seen to be safeguarded. We prove that the parametric motion can be effectively obtained under such conditions by focusing on moment data from a single tomographic detector. A visualization of perfusing a contrast agent in vivo indicates the possibility of recording intermittent (quasi) events not recorded in the training process. The proposed method can be used to dramatically improve optoacoustic imaging time resolution and help create more accessible and data efficiency systems.

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Investigation the Performance Effect of QOS in MPLS-TE Network

Investigation the Performance Effect of QOS in MPLS-TE Netwo...

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Signal, Control and Communication (SCC), International Conference on

作者： Kenz A. Bozed Ahlam Mohammed Elbeskri Jazia R. Ali Zreg Amer R. Zerek Department of Computer System Design Faculty of Information Technology Benghazi University Benghazi Libya Higher institute of Technical Water Affairs Sabratha Libya Sabratha University College of Science Sabratha Libya Electrical and Electronic Eng. Department Faculty of Engineering Zawia University Zawia Libya

ISBN: (数字)9781665402705

ISBN: (纸本)9781665402712

Due to the need for different communication types (Voice, video, and data) over the network, vendors improving enterprise networks for this purpose to minimize delays in order to support the better result, some applications like voice considered real-time applications which suffer from delay, jitter and packet losses, This paper discusses comparison of QoS performance between three QoS algorithms (PQ, FIFO, and WFQ), when using MPLS-TE technology considering the VoIP QoS parameters (end to end delay, jitter, and packet loss, as simulation done by OPNET modeler 14.5.

关键词： Packet loss Quality of service Switches Jitter Streaming media Data models Routing protocols

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Portable ECG monitoring system design 3

Portable ECG monitoring system design

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3rd IEEE International Conference on Electronic Information Technology and computer engineering, EITCE 2019

作者： Lili, Tang Wei, Huang Zhixing College of Hubei University College of Computer and Information Engineering Wuhan China System Design Institute of Hubei Aerospace Technology Academy Fourth Laboratory Wuhan China

ISBN: (纸本)9781728135847

ECG acquisition and monitoring system has important significance in the diagnosis of cardiovascular disease and the maintenance of health. This article thoroughly and systematically introduces the design of A low power portable ECG monitoring system. The system functions include ECG acquisition, signal conditioning, digital filtering, dynamic electrocardiogram display, data local storage and remote transmission, etc. The ECG acquisition unit uses ADI ECG monitor to simulate the front-end AD8232, the main control unit adopts 16-bit low-power MSP430F5529 MCU of Texas Instrument, the display unit can realize local LCD display and Android client displays, and the data transmission unit can achieve accessing to the Internet via UART to WIFI converter and the remote data transmission. The portable ECG monitoring system is of great value, which can be put into use only with a little package. © 2019 IEEE.

关键词： Electrocardiograms

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3D Beamforming Based on Deep Learning for Secure Communication in 5G and Beyond Wireless Networks

3D Beamforming Based on Deep Learning for Secure Communicati...

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IEEE Globecom Workshops

作者： Helin Yang Kwok-Yan Lam Jiangtian Nie Jun Zhao Sahil Garg Liang Xiao Zehui Xiong Mohsen Guizani Strategic Centre for Research in Privacy-Preserving Technologies and Systems Nanyang Technological University Singapore School of Computer Science and Engineering Nanyang Technological University Singapore Ecole de Technologie Superieure Universite du Quebec Montreal Canada School of Informatics Xiamen University Xiamen China Pillar of Information System Technology and Design Singapore University of Technology and Design Singapore Qatar University Doha Qatar

ISBN: (纸本)9781665423915

Three-dimensional (3D) beamforming is a potential technique to enhance communication security of new generation networks such as 5G and beyond. However, it is difficult to achieve optimal beamforming due to the challenges of nonconvex optimization problem and imperfect channel state information (CSI). To tackle this problem, this paper proposes a novel deep learning-based 3D beamforming scheme, where a deep neural network (DNN) is trained to optimize the beamforming design for wireless signals in order to guard against eavesdropper under the imperfect CSI. With our approach, the system is capable of training the DNN model offline, and the trained model can then be adopted to instantaneously select the 3D secure beamforming matrix for achieving the maximum secrecy rate of the system, which is measured by the signal received by eavesdroppers outside the path of the beam. Simulation results demonstrate that the proposed solution outperforms the classical deep learning algorithm and 2D beamforming solution in terms of the secrecy rate and robust performance.

关键词： Deep learning Solid modeling Three-dimensional displays Array signal processing 5G mobile communication Simulation Wireless networks

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Pale Red Dot: A Large, Robust Architecture for Human Settlements on Mars

Pale Red Dot: A Large, Robust Architecture for Human Settlem...

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Accelerating Space Commerce, Exploration, and New Discovery Conference, ASCEND 2023

作者： Lordos, George Hoying, Madelyn McKinney, Lanie Webb, Alisa Lin, Yuying Martin, Estelle Beilstein, John Miller, Duncan Villegas, David Sepulveda, Francisco AlSadah, Yousif Iyer, Divya O’Neill, Cormac Patel, Palak Garcia, Ignacio Arzuaga Azzouz, H. Chan, Wing Lam Eyre, Ezra Gleason, Dane Romero, Elizabeth Arias, Liliana Orozco, Omar Gentgen, Chloe Latyshev, Kir Hoffman, Jeffrey de Weck, Olivier Ikinci, Meltem Lordos, Alexandros Aeronautics and Astronautics Massachusetts Institute of Technology 33-409 CambridgeMA02139 United States Massachusetts Institute of Technology Harvard-MIT Health Sciences and Technology Program and MIT Aeronautics and Astronautics 33-409 CambridgeMA02139 United States Massachusetts Institute of Technology CambridgeMA02139 United States Aeronautics and Astronautics Massachusetts Institute of Technology 77 Mass Ave. 33-409 CambridgeMA02139 United States System Design and Management Massachusetts Institute of Technology 77 Mass Ave. E40-300 CambridgeMA02139 United States Mechanical Engineering Massachusetts Institute of Technology 77 Mass Ave. 33-409 CambridgeMA02139 United States Civil and Environmental Engineering Massachusetts Institute of Technology 77 Mass Ave. CambridgeMA02139 United States Electrical Engineering Massachusetts Institute of Technology 77 Mass Ave. CambridgeMA02139 United States Nuclear Science and Engineering Massachusetts Institute of Technology 77 Mass Ave. CambridgeMA02139 United States Computer Science and Engineering Massachusetts Institute of Technology 77 Mass Ave. CambridgeMA02139 United States Massachusetts Institute of Technology 77 Mass Ave. 37-219 CambridgeMA02139 United States Massachusetts Institute of Technology 77 Mass Ave. 33-410 CambridgeMA02139 United States Behavioral Economics University of Cyprus Nicosia Cyprus Department of Psychology University of Cyprus Nicosia Cyprus

ISBN: (数字)9781624107054

ISBN: (纸本)9781624107054

We propose a ten-yearMars mission to establish Earth-independence and support efficient, safe, and sustainable science and exploration goals. The campaign begins with a series of precursor missions, starting with the Artemis program, followed by robotic missions to performsite surveys and selection, de-risk technologies, and to start stockpiling in-situ water and propellant. Robotic Cargo Starships would depart first in 2035 to deliver and deploy approximately 5,800 tons of habitats, nuclear microreactors, farmmodules, manufacturing and ISRU systems. In 2040, two Crew Starships carrying 36 persons would land onMars to establish two close-proximity villages. The lifecycle cost is estimated at $81 billion, with a peak annual cost of $6.6 billion. To meet RASC-AL competition requirements, intended to motivate the exploration of highly self-reliant architecture concepts, resupply from Earth was constrained to only 5 metric tons every two years and minimum surface endurance was set at 7 years. The risks to human life and to critical systems increase exponentially over a minimally-resupplied, 7-10 year mission toMars. Our approach focused on identifying capabilities to mitigate known and unknown risks. Using a high-fidelity crew time model, we found that large architectures, with their economies of scale and productivity gains from specialization, are essential to robustly support the necessary capabilities. The model also shows that small 7-year missions of 12 persons or less cannot provide value in terms of free surface traverse time for science and exploration. Given the necessity of a large, complex architecture, we then sought out efficiencies and synergies (value engineering) in order to make the mission feasible and affordable. In the process, we identified more benefits that are enabled only by large missions, including the creation of a true community on Mars with sufficient social complexity for humans to thrive, and the geopolitically compelling option to inclu

关键词： Value engineering

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The design of the Intelligent Car Based on the Arduino UNO and Lab VIEW 5

The Design of the Intelligent Car Based on the Arduino UNO a...

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5th Annual International Conference on Network and Information systems for computers, ICNISC 2019

作者： Tang, Lili Huang, Wei You, Jie Department of Computer and Information Engineering Zhixing College of Hubei University Wuhan430011 China Fourth Laboratory System Design Institute of Hubei Aerospace Technology Academy Wuhan430011 China

The design of wireless remote control intelligent car uses PC-side LabVIEW host computer control software responsible for the interaction interface with the car, uses serial communication module APC220-43, one is connected to the PC to send commands from the host computer, the other is connected to the Arduino UNO to receive instructions from the host computer, and uses open source MCU controller Arduino UNO lower computer is responsible for receiving, parsing and executing instructions sent by LabVIEW. The upper computer and the lower computer carry out long-distance transmission of instructions through APC220-43 wireless serial communication module to realize the remote control of the car and the measurement of temperature, humidity and distance data. This design scheme provides certain reference value for the design fields of smart home, smart transportation, remote assistance, etc. © Published under licence by IOP Publishing Ltd.

关键词： Automation

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