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IEEE Conference on Global Communications (GLOBECOM)

作者： Zhao Li Siwei Le Jie Chen Kang G. Shin Riku Jäntti Zheng Yan Jia Liu School of Cyber Engineering Xidian University Xi'an China Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor USA Department of Communications and Networking Aalto University Espoo Finland Center for Strategic Cyber Resilience Research and Development National Institute of Informatics Tokyo Japan

Due to the broadcast nature of wireless transmissions, they are exposed to all surrounding entities and thus vulnerable to eavesdropping. To counter this vulnerability, we propose a new physical-layer secure transmission scheme, called DDM-Sec, based on decomposed and distributed modulation (DDM). DDM-Sec realizes traditional QPSK modulation by using two cooperative transmitters (Txs), each generating a BPSK signal, in a distributed manner. The legitimate receiver (Rx) can decode the desired/intended information from the mixed received signal while preventing the eavesdropper from accessing the legitimate user's information. DDM-Sec can effectively exploit the randomness of wireless channels to encrypt data transmission, enrich the spatial signatures of the legitimate transmission by employing two cooperative Txs. Moreover, DDM-Sec distributes user's information to two transmissions so that none of the decomposed signals alone carry the legitimate user's full information. Our theoretical analysis, hardware experiment, and simulation have shown that DDM-Sec can effectively prevent the eavesdropping, and hence guarantee the secrecy of the legitimate user's data transmission.

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Embedding-aided network dismantling

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Physical Review research 2023年第1期5卷 013076-013076页

作者： Saeed Osat Fragkiskos Papadopoulos Andreia Sofia Teixeira Filippo Radicchi Max Planck Institute for Dynamics and Self-Organization (MPIDS) 37077 Göttingen Germany Department of Electrical Engineering Computer Engineering and Informatics Cyprus University of Technology 33 Saripolou Street 3036 Limassol Cyprus LASIGE Departamento de Informática Faculdade de Ciências Universidade de Lisboa 1749-016 Lisboa Portugal Center for Complex Networks and Systems Research Luddy School of Informatics Computing and Engineering Indiana University Bloomington Indiana 47408 USA

Optimal percolation concerns the identification of the minimum-cost strategy for the destruction of any extensive connected components in a network. Solutions of such a dismantling problem are important for the design of optimal strategies of disease containment based either on immunization or social distancing. Depending on the specific variant of the problem considered, network dismantling is performed via the removal of nodes or edges, and different cost functions are associated to the removal of these microscopic elements. In this paper, we show that network representations in geometric space can be used to solve several variants of the network dismantling problem in a coherent fashion. Once a network is embedded, dismantling is implemented using intuitive geometric strategies. We demonstrate that the approach well suits both Euclidean and hyperbolic network embeddings. Our systematic analysis on synthetic and real networks demonstrates that the performance of embedding-aided techniques is comparable to, if not better than, the one of the best dismantling algorithms currently available on the market.

关键词： Network phase transitions Robustness

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Towards the Information-Theoretic Limit of Programmable Photonics

arXiv

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arXiv 2024年

作者： Hamerly, Ryan Basani, Jasvith Raj Sludds, Alexander Vadlamani, Sri Krishna Englund, Dirk Research Laboratory of Electronics MIT 50 Vassar Street CambridgeMA02139 United States NTT Research Inc. Physics and Informatics Laboratories 940 Stewart Drive SunnyvaleCA94085 United States Department of Electrical and Computer Engineering Institute for Research in Electronics and Applied Physics Joint Quantum Institute University of Maryland College ParkMD20742 United States

The scalability of many programmable photonic circuits is limited by the 2π tuning range needed for the constituent phase shifters. To address this problem, we introduce the concept of a phase-efficient circuit architecture, where the average phase shift is 2π. We derive a universal information-theoretic limit to the phase-shift efficiency of universal multiport interferometers, and propose a "3-MZI" architecture that approaches this limit to within a factor of 2×, approximately a 10× reduction in average phase shift over the prior art, where the average phase shift scales inversely with system size as O(1/√N). For non-unitary circuits, we show that the 3-MZI saturates the theoretical bound for Gaussian-distributed target matrices. Using this architecture, we show optical neural network training with all phase shifters constrained to 0.2 radians without loss of accuracy. Copyright © 2024, The Authors. All rights reserved.

关键词： Information theory

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Impact of outbound training on student engagement in management education: An AI based computer vision approach

Impact of outbound training on student engagement in managem...

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North Karnataka Subsection Flagship International Conference (NKCon), IEEE

作者： Sumanth P Desai Sanjay V Hanji M M Munshi P Chakradhar Shreekant Naik Sushil Kumar Pare VisveswarayaTechnological University & KLS Institute of Management Education and Research Belagavi Karnataka India MIT Vishwaprayag University Solapur Maharashtra Visveswaraya Technological University Belagavi Karnataka India Department of Computer Science and Engineering Anurag University Hyderabad Dept of MBA Mangalore Institute of Technology and Engineering Mangaluru Karnataka KLS Institute of Management Education and Research Belagavi Karnataka India

ISBN: (数字)9798350364569

ISBN: (纸本)9798350364576

This study explores the impact of outbound training on student engagement within management education. Outbound training fosters teamwork, leadership, and problem-solving skills and is increasingly incorporated into MBA programs to promote holistic student development. Previous research highlights the benefits of outdoor education in enhancing academic performance and various interpersonal skills. However, evidence demonstrating its effect on student engagement remains limited. This research addresses this gap by evaluating changes in student engagement levels before and after outbound training. The study employs an innovative computer vision-based method to impartially measure student engagement through facial expressions and head pose estimation. The results indicate a significant increase in engagement levels post-training, suggesting that outbound training effectively enhances student enthusiasm and participation in academic tasks. This study provides valuable insights for educators on the importance of integrating outbound training into management curricula and demonstrates the potential of advanced technologies in educational research.

关键词： Training Leadership computer vision Atmospheric measurements Pose estimation Particle measurements Teamwork Problem-solving Artificial intelligence

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From NEA and NIA to NESAS and SCAS: Demystifying the 5G Security Ecosystem

arXiv

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arXiv 2022年

作者： Michalas, Angelos Patsakis, Constantinos Vergados, Dimitrios D. Vergados, Dimitrios J. Department of Electrical and Computer Engineering University of Western Macedonia Kozani Greece Department of Informatics University of Piraeus Greece Information Management Systems Institute of Athena Research Centre Greece Department of Informatics University of Western Macedonia Kastoria Greece

Despite the numerous pompous statements regarding 5G, it is indisputable that 5G creates a radical shift in telecommunications. The main reason is that 5G is an enabler of numerous applications we have long envisioned and either simulated or implemented in test environments, partially or on a smaller scale. 5G will soon unlock the potential of smart cities, industry 4.0, and IoT, to name a few. However, a crucial question is how much we can trust this technology. Since this technology will soon become the core infrastructure for all of the above, it is critical to understand the fundamental security mechanisms that comprise this technology and the guarantees they provide to assess the potential risks we are exposed to. This work follows a non-technical yet bottom-up approach to introduce the reader to the core security mechanisms and establish a baseline for the security of 5G, to demystify the principal notions and processes. Based on the above, we streamline future directions and highlight possible threats. Copyright © 2022, The Authors. All rights reserved.

关键词： 5G mobile communication systems

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Generic Drone Simulator: Design, Development and User Testing in a Virtual Search and Rescue Mission

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IEEE computer Graphics and Applications 2025年 PP卷 PP页

作者： Pappas, Georgios Lappas, Dimitrios Karampelas, Panagiotis Siegel, Joshua E. Templalexis, Ioannis Stavrou, Stavros Krishnan, Sriram Open University of Cyprus Lab of Educational Material and Methodology Latsia Nicosia Cyprus University of the Aegean Learning Technology and Educational Engineering Laboratory Rhodes Greece Hellenic Air Force Academy Department of Informatics & Computers Dekelia Attiki Greece Michigan State University Department of Computer Science and Engineering East LansingMI United States Hellenic Air Force Academy Department of Thermodynamics Propulsion and Power Systems Dekelia Attiki Greece Open University of Cyprus Cybersecurity and Telecommunications Research Lab Latsia Nicosia Cyprus Indian Institute of Technology The Energy Consortium Madras India

This study addresses the need for scenario-specific drone simulators to enhance research, education, pilot training, and performance evaluation across diverse mission contexts. A gamified simulator was developed for the joint master's degree program "Security and Defence" between the Open University of Cyprus (OUC) and the Hellenic Air Force Academy (HAFA), with a focus on Search and Rescue mission training and planning. The simulator balances interface design, physics accuracy, and environmental realism to support specialized professional training and research. A survey-based evaluation involving 57 participants –pilots, engineers, and air traffic controllers –demonstrated the tool's ability to provide realistic experiences for trained pilots and meaningful learning opportunities for novices. Statistical analysis revealed significant correlations between gaming familiarity, task completion times, and participant expertise. © 1981-2012 IEEE.

关键词： Drones

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Offline Content-based Recommendation System for Wikimedia Commons Contents

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Procedia computer Science 2025年 257卷 485-494页

作者： Ahidjo Maitaigahasse Jean Louis Kedieng Ebongue Fendji Marcellin Atemkeng Department Mathematics and Computer Science Faculty of Science University of Ngaoundere 454 Ngaoundere Cameroon Centre for Research Experimentation and Production School of Chemical Engineering and Mineral Industries University of Ngaoundere 454 Ngaoundere Cameroon Stellenbosch Institute for Advanced Study (STIAS) Wallenberg Research Centre at Stellenbosch University Stellenbosch South Africa Department of Robotics and Industrial Informatics School of Chemical Engineering and Mineral Industries University of Ngaoundere 454 Ngaoundere Cameroon Department of Mathematics Rhodes University P.O. Box 6140 Grahamstown South Africa

Recommendation systems are essential for enhancing digital experiences, but their reliance on internet connectivity limits accessibility in regions with limited or no access. This paper presents an offline content-based recommendation system designed to operate without internet dependency by leveraging precomputed Term Frequency-Inverse Document Frequency (TF-IDF) vectors and cosine similarity. To optimize offline performance, we store a locally computed TF-IDF matrix, allowing efficient retrieval of relevant media items through matrix multiplication instead of real-time computation. The system is evaluated using twenty simulated personas representing diverse user interests, demonstrating its ability to generate personalized relevant recommendations. By eliminating the need for online data access, our system makes educational content from Wikimedia Commons accessible in remote areas, schools, and offline learning environments. These findings highlight the potential of offline recommendation systems in bridging the digital divide and providing equitable access to personalized learning resources.

关键词： Content-based recommendation system Wikimedia commons TF-IDF Cosine Similarity

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Innovative Urban Solutions with IoT-Driven Traffic and Pollution Control

Innovative Urban Solutions with IoT-Driven Traffic and Pollu...

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Automation and Computation (AUTOCOM), International Conference on

作者： Kottala Sri Yogi Avinash Sharma V Dankan Gowda Rini Saxena Tarkeshwar Barua Khalid Mohiuddin Dept of Operations Symbiosis institute of Business Management Hyderabad Symbiosis International University Pune Hyderabad Telangana Department of Computer Science and Engineering Chandigarh Engineering College Chandigarh Group of Colleges Jhanjeri Mohali Punjab India Department of Electronics and Communication Engineering BMS Institute of Technology and Management Bangalore Karnataka India Department of Business Informatics College of Business King Khalid University PO Box-3247 Abha Saudi Arabia

The Internet of Things (IoT) is rethinking the model for building the smart cities, and this paper makes just such a step in that direction. It then examines various ways of cutting urban pollution. Under increasing pressure from rising urbanization, smart cities represent a huge leap forward in regard to efficiency, scalability and livability. The key is IoTtechnology, which collects and analyzes data in real time and allows for more quick-witted and intelligent urban governance. This paper combines literature review, case study analysis and data-driven methods to focus on the opportunities offered by IoT applications for restructuring urban traffic systems and pollution control. This study explains what is missing in modern smart city initiatives, and offers a road map for bringing Internet of things solutions to municipal systems. The results can also serve as some answers to cope with the dilemma and bring more intelligence, cleanness, efficiency in making a city into a smart metropolis. The article ends by highlighting the significance of IoT for future urban development, and ideas for further research into this complex yet rapidly evolving area.

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Air Quality Improvement and Optimisation Using Machine Learning Technique

Air Quality Improvement and Optimisation Using Machine Learn...

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Advances in Computing, Communication and Applied informatics (ACCAI), International Conference on

作者： Rayavarapu Veeranjaneyulu Sampath Boopathi R. Krishna Kumari Anurag Vidyarthi J. Samson Isaac V Jaiganesh Department of Computer Science Engineering PACE Institute of Technology & Sciences Ongole Andhra Pradesh India Department of Mechanical Engineering Muthayammal Engineering College Namakkal Tamil Nadu India Department of Career Development Centre College of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamil Nadu India Department of Electronics & Communication Engineering Graphic Era Deemed to be University Dehradun Uttarakhand Department of Biomedical Engineering Karunya Institute of Technology and Sciences Coimbatore Tamil Nadu India Department of Mechanical Engineering Bharath Institute of Higher Education and Research Chennai Tamil Nadu India

Due to the increased use of automobiles, the manufacturing industry, and the emission of pollutants from other human activities, air pollution has risen above the expected safety level. Accurate estimating of the air quality index(AQI) is essential for effective pollution control. In this research, an AQI prediction ANFIS network model was created utilizing an already-existing data set. In this instance, the ANFIS system compares the performances of the back propagation neural network model, hybrid models, the Gaussian-BNN model, and the Gaussian-hybrid BNN model. Based on the actual raw data set, it was noted that the R and IA values of the Gaussian hybrid model are 0.9899. The ANFIS gauss-hybrid model might therefore be used to predict the most accurate model data.

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Construction of Hierarchical Matrix on Distributed Memory Systems using a Task Parallel Language

Construction of Hierarchical Matrix on Distributed Memory Sy...

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International Symposium on Computing and Networking Workshops (CANDARW)

作者： Zhengyang Bai Tasuku Hiraishi Akihiro Ida Masahiro Yasugi Keiichiro Fukazawa Gradudate School of Informatics Kyoto University Kyoto Japan Department of Information and Computer Science Kyoto Tachibana University Kyoto Japan Research Institute for Value-Added-Information Generation Japan Agency for Marine-Earth Science and Technology Yokohama Japan Department of Computer Science and Networks Kyushu Institute of Technology Iizuka Japan Academic Center for Computing and Media Studies Kyoto University Kyoto Japan

A hierarchical matrix is an approximated form of the dense matrix that represents the N-by-N correlations of N objects. The construction of the hierarchical matrix is achieved by dividing a matrix into submatrices (partitioning), followed by calculating these submatrices' entries (filling). The matrix partitioning is divided into two sub-steps: cluster tree (CT) construction by dividing objects into clusters, hierarchically, and block cluster tree (BCT) construction by observing all cluster pairs at the same level of the cluster tree that satisfy a given admissibility condition. We can apply task parallelism to filling by treating each submatrix as a parallelization unit. In existing implementations, the partitioning is redundantly executed on every computing node, and filling is executed in parallel by assigning a set of tasks to each worker statically. However, we cannot get good load balance using such implementations because it is difficult to predict the workload of each task precisely. In this paper, we propose a new parallel implementation of the hierarchical matrix construction, where a BCT construction is executed in parallel using all workers of all computing nodes. When a worker finds a BCT leaf during BCT construction, it executes filling for the submatrix corresponding to the leaf. To get good load balance, we parallelized the BCT construction using the task parallel language Tascell, which enables easy and efficient parallelization of tree recursive algorithms by employing a dynamic load balancing strategy. In numerical experiments with 3D electric field analyses using up to 16 computing nodes each of which has 36 cores, our implementation achieved up to 1.9-fold speedups compared to an implementation using the static task assignment strategy.

关键词： Parallel languages Three-dimensional displays Correlation Heuristic algorithms Conferences Parallel processing Load management

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