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A blockchain-oriented covert communication technology with controlled security level based on addressing confusion ciphertext

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Frontiers of computer Science 2025年第2期19卷 133-135页

作者： Lejun ZHANG Bo ZHANG Ran GUO Zhujun WANG Guopeng WANG Jing QIU Shen SU Yuan LIU Guangxia XU Zhihong TIAN Sergey GATAULLIN Cyberspace Institute Advanced Technology Guangzhou UniversityGuangzhou 510006China Research and Development Center for E-Learning Ministry of EducationBeijing 100039China College of Information Engineering Yangzhou UniversityYangzhou 225009China School Math and Computer Science Quanzhou Normal UniversityQuanzhou 362000China Pazhou Lab Guangzhou 510330China School of Physics and Materials Science Guangzhou UniversityGuangzhou 510006China Central Economic and Mathematics Institute Russian Academy of SciencesMoscow 117418Russia Industrial Programming Department MIREA-Russian Technological UniversityMoscow 119454Russia

1 Introduction Traditional covert communication[1]usually relies on centralized channels,which are efficient in transmission but susceptible to eavesdropping and attacks,leading to information ***,distributed methods also exist,such as peer-to-peer networks and distributed hash *** technology,which is decentralized,anonymous,non-tamperable and anti-attack,can be applied to covert communication to solve the problems of traditional methods and improve the quality of communication.

关键词： communication tables networks

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The Sustainability Component of the Brand and the Purchase Intention of Gen Z: State of the Art

The Sustainability Component of the Brand and the Purchase I...

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International Conference on Marketing and Technologies, ICMarkTech 2023

作者： Coutinho, Evelina Maria Oliveira Au-Yong-Oliveira, Manuel Department of Economics Management Industrial Engineering and Tourism Campus Universitário de Santiago University of Aveiro Aveiro3810-193 Portugal Research Unit On Governance Competitiveness and Public Policies Campus Universitário de Santiago University of Aveiro Aveiro3810-193 Portugal INESC TEC-Institute for Systems and Computer Engineering Technology and Science Porto4200-465 Portugal

ISBN: (纸本)9789819736973

In recent decades, the concept of sustainability has taken on a key role in the agendas of political decision-makers, businesses, and society. Brands have incorporated attributes associated with the concept of sustainability, making it essential to understand how these attributes are perceived and how they influence purchasing decisions. Young consumers tend to be well informed about social and environmental aspects and are more sensitive than previous generations to environmental issues. Although Gen Z’s purchasing intentions are influenced by the sustainable practices of organizations, their preferences are not fully understood. Recent studies have shown that the sustainability component associated with the brand influences Gen Z’s purchase intentions, and that social and economic aspects are at the root of this, emphasizing the importance of corporate social responsibility and transparent brand communication in terms of sustainability. Understanding how the sustainability component of brands influences the purchasing decisions of young consumers is fundamental for defining future branding strategies. The aim of this paper is to describe the state of the art of the relationship between the sustainability component of the brand and the purchase intention of Gen Z, based on the literature. The topic has not yet been widely studied, so it leaves clues for future development. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Sustainable development goals

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Optimizing 3D Flight Paths for Multiple UAVs with Connectivity Management in Urban Delivery systems 19

Optimizing 3D Flight Paths for Multiple UAVs with Connectivi...

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19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025

作者： Lee, Yeongmin Syahran, Raihan Muhammad Spangenberger, Mael Yang, Huigyu Oh, Jiyong Choo, Hyunseung Dept. of Artificial Intelligence Sungkyunkwan University Suwon Korea Republic of Dept. of Electrical and Computer Engineering Sungkyunkwan University Suwon Korea Republic of Convergence Research Institute Sungkyunkwan University Suwon Korea Republic of Dept. of AI Systems Engineering Sungkyunkwan University Suwon Korea Republic of Dept. of Informatics Télécom SudParis Évry France

ISBN: (纸本)9798331507817

The dynamic deployment of aerial vehicles in urban delivery scenarios demands precise route planning, reliable data links, and efficient use of network infrastructure. Although prior efforts have explored various aspects of unmanned navigation or communication optimization, existing approaches often overlook the combined impact of three-dimensional path selection and robust connectivity maintenance. To address this gap, this paper proposes a deep reinforcement learning framework employing Independent Proximal Policy Optimization (IPPO) to steer the flight paths of unmanned vehicles while curtailing needless interactions with base stations (BSs). By incorporating communication-specific metrics, Reference Signal Received Power (RSRP), the proposed system adapts to urban conditions and upholds resilient network links. Comprehensive performance evaluations reveal the potential of the framework to reduce excessive BS connections by up to 82.24%, preserve RSRP levels above -80 dBm, and balance handover frequencies across flight trajectories. These findings affirm the scalability and effectiveness of the method for achieving efficient aerial navigation and consistent communication in urban delivery services. © 2025 IEEE.

关键词： Deep reinforcement learning

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Progress in research on critical technologies for Intelligent Radar Detection Satellites

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Journal of Aeronautics, Astronautics and Aviation 2025年第4期57卷 861-887页

作者： Ling, Yunxiao Yang, Jingyu Zhao, Zhen He, Jingjie Gao, Mingliang Kuai, Enze Space Solar Power Station Laboratory Intelligent Aircraft Systems Theory and Technology Laboratory College of Aerospace Engineering Shenyang Aerospace University 110136 China Research and Development Department Shenyang Goddard Intelligent Equipment Technology Co. Ltd Shenyang110001 China Shanghai Aerospace Systems Engineering Institute Shanghai201100 China

Intelligent Radar Detection Satellites carry radar detection systems as payloads, with all-day, all-weather, long-distance detection capabilities for targets in the sea, land, air, and sky, which are new informatization weaponry for future battlefields and play an essential role in the seizure of the right to control information on the battlefield in the future. Intelligent Radar Detection Satellites rely on the empowerment of artificial intelligence, intelligent control, and other technologies, with perception, decision-making, manipulation, and other smart features, and can reliably complete the space radar detection mission. This paper focuses on the feasibility of the single-base space-based radar system program, is dedicated to the preliminary design of the Intelligent Radar Detection Satellite system program, and combs and summarizes the relevant technical research literature on the design of the various sub-systems of the satellite platform and the design of the payload system. Facing the design of the mechanical, electrical, thermal, and magnetic systems of the Intelligent Radar Detection Satellite, pointing out the feasible solutions to the critical technical problems involved in the satellite. In response to the satellite's demand for highly autonomous capability and intelligence level, it points out the necessary development direction of applying intelligent materials and structures, intelligent control theory, artificial intelligence, cognitive radar, and other technologies to the Intelligent Radar Detection Satellites. © 2025 The Aeronautical and Astronautical Society of the Republic of China. All rights reserved.

关键词： Space-based radar

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Quadrature Demodulator of Navigation Signals

Quadrature Demodulator of Navigation Signals

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Digital Signal Processing and its Applications (DSPA), International Conference on

作者： Aleksey A. Bakulin Aleksey S. Zavgorodniy Research Department of Metrology for Development and Operation of Metrological Supporting Means for Coordinate-Temporal and Navigation Systems Russian Metrological Institute of Technical Physics and Radio Engineering Measurements Mendeleevo Russia

ISBN: (数字)9798331518752

ISBN: (纸本)9798331518769

This article presents cost-effective analogue quadrature demodulator of the global navigation satellite system signals and its functional, maths and digital implementations with graphical illustrations. Digital implementation have presented as simple and common operations, which should be included to the algorithm. Also, the article describe the maths basics of the quadrature-compressed signals for understanding the functional principles of the demodulator. Besides, the paper describe basics for calculation of maths model and introduce scatter parameters matrix of the demodulator. Scatter parameters of this model have investigated and have compared with scatter parameters of the real device. Graphical implementations of the comparison and explanation of the difference also introduced at this article. The paper present experimental stand, measurement method using vector network analyzer and their features for the scatter parameters measurements. The article introduce examples of demodulation results that have performed by digital model and by the real devices. Difference between results also have explained.

关键词： Performance evaluation Global navigation satellite system Navigation Signal processing algorithms Network analyzers Mathematical models Vectors Scattering parameters Proposals Demodulation

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Towards Designing a Medication Assistive Intelligent System with Automated Insulin-dose Prediction for Elderlies

Towards Designing a Medication Assistive Intelligent System ...

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International Conference on Electrical, computer and Communication engineering (ECCE)

作者： Abrar Ahmed Minhazul Islam Mahi M. Akhtaruzzaman Jamal Uddin Tanvin Fahim Shahryer Sachitra Halder Muhammad Towfiqur Rahman Md Shofiqul Islam Department of Computer Science and Engineering Military Institute of Science and Technology Dhaka Bangladesh Quantum Robotics and Automation Research Group (QRARG) Dhaka Bangladesh Department of Computer Science & Engineering University Asia Pacific (UAP) Dhaka Bangladesh Institute for Intelligent Systems Research and Innovation (IISRI) Deakin University Geelong Victoria

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

Medication management poses significant challenges for many patients, particularly the elderlies, who often struggle with keeping track of their medication schedules and taking the correct dosages. To address this issue, this study aims to design an AI-integrated Medication Management and Assistive Unit (AMMAU) for elderlies with some important features like, schedule reminder, medicine recognition and count, early indication of shortage, sorted slots, and so on. Automated insulin-dose prediction and alert system makes the system unique and more demanding at these current scenarios. For this study, a suitable machine learning model is designed, analyzed, verified, and embedded in the proposed system so that the elderly diabetic patients can get alert, further compare with the current insulin-doses. Though, the proposed system is currently focusing on only the Basal insulin doses prediction, the system will definitely reduce the risks associated with wrong management of medication by degrading the chances of missed doses or taking wrong pills for elderlies at home.

关键词： Training Schedules Analytical models Prototypes Machine learning Predictive models Internet of Things Older adults Insulin Physical design

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Gemini+: Enhancing Real-Time Video Analytics with Dual-Image FPGAs

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IEEE Transactions on computer-Aided Design of Integrated Circuits and systems 2025年

作者： Wu, Jingrou Hu, Chuang Zhang, Jin Wang, Dan Jiang, Jing University of Technology Sydney Australian Artificial Intelligence Institute SydneyNSW2007 Australia Southern University of Science and Technology Research Institute of Trustworthy Autonomous Systems The Department of Computer Science and Engineering Shenzhen518055 China Wuhan University School of Computer Science Wuhan430072 China Southern University of Science and Technology Department of Computer Science and Engineering The Research Institute of Trustworthy Autonomous Systems Shenzhen518055 China Peng Cheng Laboratory Shenzhen518055 China Hong Kong Polytechnic University Department of Computing Hong Kong Hong Kong

Real-time video analytics demand intensive computing resources, often exceeding device capabilities. Heterogeneous computing resources like CPU and GPU, usually work collaboratively to ensure real-time performance. GPU manage data-intensive computing, while CPU handle instruction-intensive tasks. However, analytics accuracy can degrade because of the imbalance between CPU-GPU workloads and resources, and static resources in most systems limit adaptability to dynamic workloads. In addition to CPU-GPU resource control, accuracy is highly dependent on video analytics configuration including resolution, frame rate, and model selection. In this paper, we propose Gemini+, a hardware-accelerated video analytics pipeline empowered by dual-image FPGAs. It enables flexible CPU-GPU resource adaptation by providing near-instantaneous switching between two pre-configured images. We investigate CPU-GPU resource control and video analytics configuration adaptation in a dual-image FPGA-based video analytics pipeline. We study and formulate two problems of practical importance, a single-camera and multi-camera dual computing resource control problem, i.e., SC-DCRC and MC-DCRC. We analyze the problem complexity and develop optimal and sub-optimal algorithms. We evaluate our algorithms through simulation and build a prototype for verification. The results show that Gemini+ can improve analytic accuracy by 25% compared to fixed CPU-GPU resource systems and 88% compared to GPU-dominant systems. © 2025 IEEE.

关键词： Graphics processing unit

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Flight Testing Instrumentation development and Integration for a Subscale Integrated High Lift Propulsor Testbed

Flight Testing Instrumentation Development and Integration f...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Dantsker, D. Mancuso, Renato Ward, Byron Miller, Christian Shea, Donovan Collins, Kyle Department of Intelligent Systems Engineering Indiana University BloomingtonIN47408 United States Department of Computer Science Boston University BostonMA02215 United States Wayfarer Aircraft Research and Development La MesaCA91941 United States Eagle Flight Research Center Embry Riddle Aeronautical University Dayonta BeachFL32114 United States Embry Riddle Aeronautical University Dayonta BeachFL32114 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

Recent advancements in electric and hybrid-electric aircraft have sparked interest in Advanced Aerial Mobility (AAM), enabling innovative air transport solutions. Distributed Electric Propulsion (DEP), with its favorable aero-propulsive interactions, is a key focus for advanced aircraft designs, and thus an area of significant interest for academia and industry. Wayfarer Aircraft has developed and patented a novel new form of of blown wing lift augmentation called the Integrated High Lift Propulsor (IHLP), which uses DEP integrated with a Krueger slat or flap. This paper presents the instrumented, reconfigurable subscale IHLP distributed electric propulsion testbed that will be used to parameterize the performance and handling qualities (P&HQ) of IHLP. The subscale aircraft, which was developed from a 35%-scale Cessna 182 R/C scale model aircraft, was instrumented with a custom-integrated flight control and data acquisition system developed to enable this flight research — specifically a Holybro Pixhawk 6X autopilot running custom flight control software coupled with a custom version of the Al Volo FDAQ data acquisition system. The paper presents IHLP including its advantages and performance improvements in high-lift and cruise conditions compared to conventional distributed electric propulsion (DEP) systems. The detailed development of the IHLP subscale testbed are presented, including modifications, instrumentation design, and the integration of the data acquisition and flight control systems. Preliminary results from ground testing are presented to demonstrate the capabilities of the instrumented IHLP testbed. © 2025, American institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Testbeds

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Detecting and Preventing Brute Force Attacks on Mobile Devices Using Advanced Encryption Techniques 3

Detecting and Preventing Brute Force Attacks on Mobile Devic...

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3rd IEEE International Conference on Automation and Computation, AUTOCOM 2025

作者： Franklin, Ramya G. Kaur, Savinder Kumari, Binita Gupta, Mohit Gopalakrishna, K. Maharishi, Trapty Agarwal Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Chitkara University Centre of Research Impact and Outcome Punjab Rajpura140417 India Department of Computer Applications Odisha Bhubaneswar India Chitkara University Chitkara Centre for Research and Development Himachal Pradesh Baddi174103 India Karnataka Bangalore India School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331542375

Brute pressure attacks are a not unusual approach utilized by malicious actors to gain unauthorized rights of entry to touchy records on mobile devices. Those assaults involve trying out multiple combinations of usernames and passwords until the precise one is located. This poses a huge risk to mobile security, as those devices often incorporate a tremendous quantity of personal and private information. The proposed solution is to detect and save brute force attacks on cellular gadgets by enforcing superior encryption techniques. Those techniques contain complex algorithms and methods to protect touchy records from being accessed by way of unauthorized events. This may make it easier for attackers to decipher the encrypted documents, even though they're capable of getting entry to them. The device will constantly display the get entry to attempts and locate any unusual styles or suspicious pastimes. If a brute pressure assault is detected, the device will robotically block further entry attempts and cause an alert to the consumer. It'll additionally encrypt the information in the tool to save it from being compromised. This answer will appreciably increase the security of cell gadgets because it will make it almost impossible for hackers to benefit from unauthorized admission to sensitive data. It's going to supply user's peace of thoughts, understanding that their statistics are covered, and offer an extra layer of security to cell gadgets. © 2025 IEEE.

关键词： Sensitive data

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Image segmentation via two-step deep variational priors

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Pattern Recognition Letters 2025年 195卷 44-50页

作者： Tan, Lu Tai, Xue-Cheng Li, Ling Liu, Wan-Quan Chan, Raymond H. Hong, Dan-Feng School of Computer Science and Information Engineering Bengbu University Bengbu Anhui China Norwegian Research Center (NORCE) Bergen Norway School of Elec Eng Comp and Math Sci (EECMS) Curtin University Perth Australia School of Intelligent Systems Engineering Sun Yat-sen University Shenzhen China Department of Operations and Risk Management and School of Data Science Lingnan University Tuen Mun Hong Kong Hong Kong Centre for Cerebro-Cardiovascular Health Engineering Hong Kong Aerospace Information Research Institute Chinese Academy of Sciences Beijing China

This paper proposes an iterative deep variational approach for image segmentation in a fusion manner: it is not only able to realize selective segmentation, but can also alleviate the issue of parameter/initialization dependency. Moreover, it possesses a refinement process designed to handle challenging scenarios, such as images containing obscured, damaged, or absent objects, or those with complex backgrounds. Our proposed approach consists of two main procedures, i.e., selective segmentation and shape transformation. The first procedure works as a stem in a totally unsupervised way. A convolutional neural network (CNN) based architecture is properly incorporated into the selective weighting constrained variational segmentation model. The second procedure is to further refine the outputs. This part can be achieved in two ways: one direction is to establish a joint model with the semantic shape constraint. The other technical direction is to make the shape descriptor separated from the joint model and work as an individual unit. In the proposed approach, the minimization problem is transformed from iterative minimization for each variable to automatically minimizing the loss function by learning the generator network parameters. This also leads to a good inductive bias associated with classic variational methods. Extensive experiments have demonstrated the significant advantages. © 2025 Elsevier B.V.

关键词： Flexible module Integration approach Iterative deep variational priors

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