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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Fanchang TangYaLing Yadav, Amit Sah, Abhishek Pratap Khan, Asif Department of Software Engineering Chengdu Neusoft University Chengdu China College of Engineering IT and Environment Charles Darwin University NT Australia School of Management Science and Engineering University of Electronic Science and Technology of China Chengdu China Department of Computer Application Integral University Lucknow India

ISBN: (纸本)9798331522667

A sentiment analysis scheme for image and text comments based on multimodal deep learning and spatiotemporal attention is proposed to address the issues of incomplete spatiotemporal considerations, incomplete implementation details, and cutting-edge theoretical algorithms in graphic and textual sentiment analysis schemes. The proposed model has clear layering including data preprocessing layer, modal encoding layer, modal fusion layer, sentiment classification layer, loss function and optimizer, evaluation and feedback. The implementation details of each layer are introduced. The entire scheme model incorporates Multimodal Fusion Neural Network (MFNN) deep learning and spatiotemporal attention mechanism, which makes the scheme perform well in terms of security, robustness and performance, making up for the shortcomings of existing research schemes. © 2025 IEEE.

关键词： Contrastive Learning

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Comparative Analysis of Differential Privacy Implementations on Synthetic Data 15

Comparative Analysis of Differential Privacy Implementations...

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15th IEEE Annual Computing and Communication Workshop and Conference, CCWC 2025

作者： Said, Huwida E. Mahmoud, Qusay H. Goyal, Mandeep Hashim, Faiza College of Technological Innovation Zayed University Department of Computing and Applied Technolgy Dubai United Arab Emirates Ontario Tech University Department of Electrical Computer and Software Engineering OshawaONL1G 0C6 Canada College of Information Technology Uae University Department of Computer Science and Software Engineering AI-Ain United Arab Emirates

ISBN: (纸本)9798331507695

Differential privacy offers a promising solution to balance data utility and user privacy. This paper compares two prominent differential privacy tools-PyDP and IBM's diffprivlib-that are applied to a synthetic dataset with medical attributes. We evaluate these tools based on their effectiveness in maintaining data privacy while preserving the statistical integrity of the data. Our results reveal that PyDP provides synthetic data that closely matches real-world data, making it appropriate for tasks requiring accuracy while striking a better balance between data utility and privacy. However, IBM's diffprivlib is more suitable for privacy-critical applications due to its stronger privacy guarantees, but at the cost of increased noise and decreased data utility. This paper contributes to the practical understanding of implementing differential privacy in machine learning and software applications and enhances the tools available for developers in sensitive data environments. © 2025 IEEE.

关键词： Data integrity

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Evaluating Logical Expressions by Membrane Systems

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Chinese Journal of Electronics 2025年第2期23卷 278-283页

作者： Ping Guo Jinfang Ji Haizhu Chen Ran Liu College of Computer Science Chongqing University Chongqing China Chongging Key Laboratory of Software Theory and Technology Chongqing China Department of Software Engineering Chongqing College of Electronic Engineering Chongqing China

Boolean and relational operations, which are defined for solving mathematically logical problems, are always required in computing models. Membrane computing is a kind of distributed parallel computing model. In this paper, we design different membranes for implementing primary Boolean and relational operations respectively. And based on these membranes, a membrane system can be constructed by a present algorithm for evaluating a logical expression. Some examples are given to illustrate how to perform the Boolean, relational operations and evaluate the logical expression correctly in these membrane systems.

关键词： Computational modeling Parallel processing Mathematical models

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A comprehensive survey on 6G-security: physical connection and service layers

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Discover Internet of Things 2025年第1期5卷 1-30页

作者： Saeed, Mamoon M. Saeed, Rashid A. Hasan, Mohammad Kamrul Ali, Elmustafa Sayed Mazha, Tehseen Shahzad, Tariq Khan, Sunawar Hamam, Habib Sana00967 Yemen Department of Computer Engineering College of Computers and Information Technology Taif University P.O. Box 11099 Taif21944 Saudi Arabia Department of Electronics Engineering College of Electronics Engineering Sudan University of Science and Technology Omdurman Sudan Bangi43600 Malaysia Department of Electrical and Electronic Engineering Faculty of Engineering Red Sea University Port Sudan33312 Sudan School of Computer Science National College of Business Administration and Economics Lahore54000 Pakistan Faculty of Engineering Uni de Moncton MonctonNBE1A3E9 Canada Department of Computer Engineering COMSATS University Islamabad Sahiwal Campus Sahiwal57000 Pakistan Department of Computer Science and Software Engineering International Islamic University Islamabad44000 Pakistan School of Electrical Engineering University of Johannesburg Johannesburg2006 South Africa BP 1989 Av. Grandes Ecoles Libreville Gabon Bridges for Academic Excellence-Spectrum Tunis Tunisia Department of Computer Science School Education Department Government of Punjab Layyah31200 Pakistan Chitkara University Institute of Engineering and Technology Chitkara University Punjab Rajpura140401 India

After adopting 5G technology, businesses and academia have started working on sixth-generation wireless networking (6G) technologies. Mobile communications options are expected to expand in areas where previous generations could not do so. 6G networks are anticipated to be constructed using various diverse technologies. These encompass diverse cutting-edge advancements, such as distributed ledger systems like blockchain, visible light communications (VLC), post-quantum cryptography, edge computing, molecular communication, THz, and other advances. These advances necessitate a reassessment of previous security strategies from a security perspective. In the future, networks must adhere to stricter criteria for authentication, encryption, access control, connectivity, and detection of harmful activities. Ensuring privacy and dependability necessitates the implementation of supplementary security protocols. The essay explores the primary concerns and challenges related to the security of the 6G network. This paper describes the improvements in security in communications from 1G through 6G. This paper divides security in the sixth generation into three layers: physical, connection, and service. Each layer-by-layer discusses the standard technologies and security issues for each technology proposed in each sixth-generation security layer. All proposed solutions for each of the three layers are discussed in Sixth Generation Security. It also reviews all proposed solutions for each layer, indicating the proposed solution and its limitations. © The Author(s) 2025.

关键词： 5G mobile communication systems

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Arithmetic Expression Evaluations with Membranes

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Chinese Journal of Electronics 2025年第1期23卷 55-60页

作者： Ping Guo Haizhu Chen Hui Zheng College of Computer Science Chongqing University Chongqing China Chongqing Key Laboratory of Software Theory and Technology Chongqing China Department of Software Engineering Chongqing College of Electronic Engineering Chongqing China

Arithmetic operations and expression evaluations are fundamental in computing models. This paper firstly designs arithmetic membranes without priority rules for basic arithmetic operations, and then proposes an algorithm to construct expression P systems based on several of such membranes after designing synchronous and asynchronous transmission strategies among the membranes. For any arithmetic expression, an expression P system can be built to evaluate it effectively. Finally, we discuss different parallelism strategies through which different expression P systems can be built for an arithmetic expression.

关键词： Computational modeling Biological system modeling Parallel processing Biomembranes Compounds Arithmetic

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Towards Attention-Aware Interactive 360-Degree Video Streaming on Smartphones

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IEEE Network 2025年

作者： Zhang, Lei Zhou, Haobin Shen, Linfeng Liu, Jiangchuan Cui, Laizhong Shenzhen University College of Computer Science and Software Engineering China Simon Fraser University School of Computing Science Canada

Browsing 360-degree videos on smartphones is becoming increasingly popular, which is challenging due to heavy user interactions, limited hardware capabilities, and constrained batteries. To improve resource efficiency and user experience, we propose a framework for attention-aware interactive 360-degree video streaming for smartphone users. We first explore the built-in capabilities of off-the-shelf smartphones to capture user attention during video browsing. Using the information of user attention to predict viewport and analyze user-perceptive quality, we then investigate the approaches for improving video encoding, transmission, and rendering in 360-degree video streaming. Further, we discuss the opportunities for enhancing user interactive experience with error tolerance, protocol design, and on-device computation. Finally, our prototype implementation is presented as a case study to validate our design principles. Our framework integrates and coordinates advanced techniques for different components of 360-degree video streaming systems to achieve better user experience, which can also serve as a foundation for leveraging modern attention-based multi-modal learning architectures. © 2025 IEEE.

关键词： Video streaming

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HTM-CDFK: An Online Industrial Control Anomaly Detection Algorithm based on Hierarchical Time Memory

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IEEE Transactions on Dependable and Secure Computing 2025年

作者： Liu, Jingwen Zhang, Yuanyuan Wang, Zilin Ren, Yi Chen, Liangyin Chen, Yanru Sichuan University College of Computer Science College of Software Engineering Institute for Industrial Internet Research Chengdu610065 China

With the rapid advancement of industrial structures, many factories are deploying anomaly detection systems. However, most existing anomaly detection algorithms are unsuitable for high-noise industrial control system (ICS) environments and constantly changing sensor patterns, resulting in low detection accuracy. To address these challenges, we propose a hierarchical temporal memory-based online anomaly detection algorithm for ICS, incorporating cumulative distribution functions and Gaussian convolution kernels. We enhanced the encoding process of hierarchical temporal memory, enabling it to quickly fit the physical processes of ICS and remember the system's previous operating states for anomaly recognition. Additionally, our anomaly calculation algorithm, based on cumulative distribution functions and Gaussian kernel convolution, effectively addresses the adaptability and accuracy challenges posed by high-noise ICS environments. Experimental results demonstrate that our method outperforms the best baseline algorithms. While maintaining good time stability, our method achieves a 9% improvement in detection accuracy, highlighting its significant advantage in balancing detection precision and time performance. © 2004-2012 IEEE.

关键词： Distribution functions

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DDA: Distillation-Driven Acceleration of the Reverse Diffusion Process for Stochastic Multi-Ship Trajectory Prediction

DDA: Distillation-Driven Acceleration of the Reverse Diffusi...

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2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： Ma, Kun Han, Qilong Yao, Jingzheng Wu, Changmao Zhang, Yuntao College of Computer Science and Technology Harbin Engineering University Harbin China Yantai Research Institute Harbin Engineering University Yantai China Institute of Software Chinese Academy of Sciences Beijing China College of Shipbuilding Engineering Harbin Engineering University Harbin China

ISBN: (纸本)9798350368741

Modeling stochastic multi-ship trajectories is vital for maritime safety and interaction efficiency. Recent researches show that diffusion models excel in trajectory prediction, surpassing GANs and VAEs in generation quality, diversity and stability. However, their slow sampling speed remains a major limitation, as producing high-quality trajectories typically requires hundreds of denoising steps. We introduce DDA, a novel method that accelerates multi-ship trajectory generation by distilling the reverse diffusion process, progressively reducing sampling steps by half while minimizing quality loss. We use CVAE-based encoder to map multimodal inputs into state embeddings in the latent space, and use distillation diffusion in the latent space to more quickly and better represent multi-ship trajectories. The diffusion model uses Transformer-based core, and we incorporate SO(2) invariance and equivariance to enhance model representation. Validation on real-world AIS datasets shows that the student model retains high-quality trajectory generation while sampling speed is approximately 30 times faster. © 2025 IEEE.

关键词： Accelerating Sampling AIS Diffusion Model Progressive Distillation VAE

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SemConf: A System for Multiparty Semantic Video Conferencing

SemConf: A System for Multiparty Semantic Video Conferencing

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35th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2025

作者： Duan, Xize Jin, Yili Zhang, Lei Wang, Fangxin Shenzhen Future Network of Intelligence Institute China School of Science and Engineering The Chinese University of HongKong Shenzhen China School of Computer Science McGill University Canada College of Computer Science and Software Engineering Shenzhen University China The Guangdong Provincial Key Laboratory of Future Networks of Intelligence China

ISBN: (纸本)9798400714696

Multi-party real-Time video conferencing has become an indispensable service in industrial production and daily life. However, the current dynamic and limited network resources can no longer meet the growing service demands of users, resulting lagging and low visual quality. The emerging semantic transmission, together with the network-wide redundant computation capacity, provides new opportunities towards a new paradigm of semantic video conferencing. The key challenge of such fusion lies in the interplay of traditional streaming adaptation and the new semantic processing, calling for a holistic mechanism to optimize the service provision with compatibility and efficiency. In this paper, we for the first time address this challenge, and propose SemConf, a novel framework that integrate the semantic transmission into the video conferencing towards optimal user QoE. Our extensive evaluations, against state-of-The-Art baselines, reveal that SemConf achieves a substantial improvement in QoE, with up to 33.6% enhancement in bandwidth-constrained environment. Overall, this work highlights the critical role of the coordination algorithm in balancing computational load and network throughput, showcasing SemConf as a transformative approach in the realm of semantic video conferencing. © 2025 ACM.

关键词： Semantic Web

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Research on 2D Obstacle Avoidance Model Based on Field Rescue 24

Research on 2D Obstacle Avoidance Model Based on Field Rescu...

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Proceedings of the 2024 6th International Conference on Mechatronics Systems and Control engineering

作者： Ye Zhou Nengxin Mou College of Computer Science and Software Engineering Hohai University Nanjing Jiangsu China

ISBN: (纸本)9798400710346

This paper presents a novel 2D obstacle avoidance model tailored for field search and rescue robots. Leveraging advanced deep reinforcement learning techniques, the proposed model aims to enhance the robots’ navigation capabilities in dynamic and unpredictable environments. We evaluated four distinct reinforcement learning models—Deep Q-Learning (DQL), Proximal Policy Optimization (PPO), Advantage Actor-Critic (A2C), and Deep Q-Network (DQN)—to identify the most effective approach for real-time obstacle avoidance. Experimental results demon- strata that the DQL model outperforms the others in terms of success rate, average reward, and stability, making it particularly suitable for complex field operations. This research contributes to the development of robust and efficient navigation strategies for autonomous search and rescue missions, with potential implications for broader applications in robotics.

关键词： 2D Obstacle Avoidance

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