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2025 IEEE Silicon Photonics Conference, SiPhotonics 2025

作者： Kobayashi, Kenji Miyatake, Yuto Tang, Rui Makino, Kotaro Tominaga, Junji Miyata, Noriyuki Okano, Makoto Toprasertpong, Kasidit Takagi, Shinichi Takenaka, Mitsuru The University of Tokyo Department of Electrical Engineering and Information Systems Tokyo Japan National Institute of Advanced Industrial Science and Technology (AIST) Tsukuba Japan

We demonstrate microring resonator (MRR) optical switch using phase change material Ge2Sb2Te3Se2 (GSTS). With negligible optical absorption in amorphous GSTS, the MRR maintains its Q-factor after GSTS integration. Suc... 详细信息

ISBN: (纸本)9798331506186

We demonstrate microring resonator (MRR) optical switch using phase change material Ge₂Sb₂Te₃Se₂ (GSTS). With negligible optical absorption in amorphous GSTS, the MRR maintains its Q-factor after GSTS integration. Successful non-volatile switching is achieved over broad wavelength range with crystalline GSTS, enabling multi-wavelength programmable photonic circuits. © 2025 IEEE.

关键词： intensity modulation microring resonator optical switching Phase-change material

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Stochastic Qubit Resource Allocation for Quantum Cloud Computing 36

Stochastic Qubit Resource Allocation for Quantum Cloud Compu...

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36th IEEE/IFIP Network Operations and Management Symposium, NOMS 2023

作者： Kaewpuang, Rakpong Xu, Minrui Niyato, Dusit Yu, Han Xiong, Zehui Kang, Jiawen Nanyang Technological University School of Computer Science and Engineering Singapore Singapore University of Technology and Design Pillar of Information Systems Technology and Design Singapore Guangdong University of Technology School of Automation China

ISBN: (纸本)9781665477161

Quantum cloud computing is a promising paradigm for efficiently provisioning quantum resources (i.e., qubits) to users. In quantum cloud computing, quantum cloud providers provision quantum resources in reservation and on-demand plans for users. Literally, the cost of quantum resources in the reservation plan is expected to be cheaper than the cost of quantum resources in the on-demand plan. However, quantum resources in the reservation plan have to be reserved in advance without information about the requirement of quantum circuits beforehand, and consequently, the resources are insufficient, i.e., under-reservation. Hence, quantum resources in the on-demand plan can be used to compensate for the unsatisfied quantum resources required. To end this, we propose a quantum resource allocation for the quantum cloud computing system in which quantum resources and the minimum waiting time of quantum circuits are jointly optimized. Particularly, the objective is to minimize the total costs of quantum circuits under uncertainties regarding qubit requirement and minimum waiting time of quantum circuits. In experiments, practical circuits of quantum Fourier transform are applied to evaluate the proposed qubit resource allocation. The results illustrate that the proposed qubit resource allocation can achieve the optimal total costs. © 2023 IEEE.

关键词： Resource allocation

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Resource Allocation for IRS-Assisted Symbiotic Vehicular RSMA and Backscatter Communication 15

Resource Allocation for IRS-Assisted Symbiotic Vehicular RSM...

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15th International Conference on information and Communication technology Convergence, ICTC 2024

作者： Ofori-Amanfo, Kofi A. Asiedu, Derek K. P. Saoudi, Samir Yun, Ji-Hoon Seoul National University of Science and Technology Department of Electrical and Information Engineering Seoul01811 Korea Republic of IMT-Atlantique Lab-STICC Brest29238 France

ISBN: (纸本)9798350364637

We develop a symbiotic operation framework of primary downlink vehicular communication using rate-splitting multiple access (RSMA) and secondary backscatter communication of an intelligent reflecting surface (IRS). The framework employs alternating optimization for resource allocation, considering channel estimation errors caused by vehicular mobility. © 2024 IEEE.

关键词： Backscattering

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Performance Improvements of Vehicular PKI Protocol for the Security of V2X Communications 46

Performance Improvements of Vehicular PKI Protocol for the S...

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46th International Conference on Telecommunications and Signal Processing, TSP 2023

作者： Farran, Hassan Khoury, David Budapest University of Technology and Economics Faculty of Electrical Engineering and Informatics Department of Networked Systems and Services BudapestH-1111 Hungary American University of Science and Technology Department of Computer Science and Information and Communication Technology Beirut Lebanon

ISBN: (纸本)9798350303964

Vehicle-to-Everything (V2X) technology allows vehicles to communicate with numerous transportation system components. To provide safe communication between vehicles and other entities, V2X depends on Public Key Infrastructure (PKI). However, the present PKI employed in V2X has certain drawbacks, including scalability and high computational cost. This article offers an enhancement to the current PKI in V2X that tackles these constraints by managing and distributing keys using blockchain technology. The suggested Public Key Infrastructure enhancement is intended to be secure, efficient, and scalable, providing a more solid and trustworthy foundation for V2Xcommunication. The article explains the suggested PKI enhancement and examines its advantages and disadvantages. Overall, the suggested Public Key Infrastructure enhancement has the potential to increase the security and dependability of Vehicle-to-Everything communication, allowing for a secure and more effective transportation system. © 2023 IEEE.

关键词： Vehicle to Everything

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Smart Farmer Education System for Disease Identification, Severity Assessment and Infestation Management (Brinjal) 17

Smart Farmer Education System for Disease Identification, Se...

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17th IEEE International Conference on Industrial and information systems, ICIIS 2023

作者： Bandara, Keshara Vidhanaarachchi, Samitha Nanayakkara, A.A.E. Kulasinghe, Kavindu Rajapakshe, Sanka Wickramasinghe, Asela Yapa, Kanishka Sri Lanka Institute of Information Technology Department of Information Technology New Kandy Road Malabe Sri Lanka Sri Lanka Institute of Information Technology Department of Computer Science and Software Engineering Malabe Sri Lanka University of Ruhuna Faculty of Agriculture Department of Soil Science Mapalana Kamburupitiya Sri Lanka Sri Lanka Institute of Information Technology Department of Computer Systems Engineering Malabe Sri Lanka

ISBN: (纸本)9798350323634

The agriculture industry is one of the most significant sources of foreign exchange and employment in the Sri Lankan market. Therefore, small crops play a crucial role in ensuring the food security of the population as they are integral components of Sri Lankan cuisine. However, industry experts have identified inefficient disease and pest management as a hindrance to production. This issue requires immediate attention and proper action, which can be effectively addressed through the utilization of ICT technologies. Consequently, this research paper proposes a smart system that aims to assist farmers and agriculture professionals by providing them with farmer education, disease and infestation management tools, as well as progression level calculations. The implementation of this system aims to uplift the agriculture industry in Sri Lanka. The developed 'AI-based mobile application system for Brinjal Diseases,' which is based on analyzing the eating patterns of leafhopper damage, presents an innovative approach to identify the most significant threats to Brinjal, specifically focusing on leafhopper damage. This proposed system effectively informs various stakeholders, including the Area Agricultural Research Officer, Seed Certification and Plant Protection Center (SCPPC), Agricultural Service Center, Office of the Register of Pesticides (ROP), Plant Protection Service (PPS), as well as farmers, regarding the dispersion and prevention of brinjal diseases and pest infections. © 2023 IEEE.

关键词： Crowdsourcing

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Safe Optimal Interactions Between Automated and Human-Driven Vehicles in Mixed Traffic with Event-Triggered Control Barrier Functions

Safe Optimal Interactions Between Automated and Human-Driven...

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American Control Conference (ACC)

作者： Anni Li Christos G. Cassandras Wei Xiao Division of Systems Engineering and Center for Information and Systems Engineering Boston University Brookline MA Computer Science and Artificial Intelligence Lab Massachusetts Institute of Technology

ISBN: (数字)9798350382655

ISBN: (纸本)9798350382662

This paper studies safe driving interactions between Human-Driven Vehicles (HDVs) and Connected and Automated Vehicles (CAVs) in mixed traffic where the dynamics and control policies of HDVs are unknown and hard to predict. In order to address this challenge, we employ event-triggered Control Barrier Functions (CBFs) to estimate the HDV model online, construct data-driven and state-feedback safety controllers, and transform constrained optimal control problems for CAVs into a sequence of event-triggered quadratic programs. We show that we can ensure collision-free interactions between HDVs and CAVs and demonstrate the robustness and flexibility of our framework on different types of human drivers in lane-changing scenarios while guaranteeing the satisfaction of safety constraints.

关键词： Road transportation Simulation Estimation Optimal control Transforms Robustness Real-time systems

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Blockchain and Artificial Intelligence Applications to Defeat COVID-19 Pandemic

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Computer systems science & engineering 2022年第2期40卷 691-702页

作者： Mohammed Baz Sabita Khatri Abdullah Baz Hosam Alhakami Alka Agrawal Raees Ahmad Khan Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif P.O.Box 11099Taif 21944Saudi Arabia Department of Information Technology Babasaheb Bhimrao Ambedkar UniversityLucknow226025India Department of Computer Engineering College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia Department of Computer Science College of Computer and Information SystemsUmm Al-Qura UniversityMakkah21955Saudi Arabia

The rapid emergence of novel virus named SARS-CoV2 and unchecked dissemination of this virus around the world ever since its outbreak in 2020,provide critical research criteria to assess the vulnerabilities of our current health *** paper addresses our preparedness for the management of such acute health emergencies and the need to enhance awareness,about public health and healthcare *** view of this unprecedented health crisis,distributed ledger and AI technology can be seen as one of the promising alternatives for fighting against such epidemics at the early stages,and with the higher *** the implementation level,blockchain integration,early detection and avoidance of an outbreak,identity protection and safety,and a secure drug supply chain can be *** the opposite end of the continuum,artificial intelligence methods are used to detect corona effects until they become too serious,avoiding costly drug *** paper explores the application of blockchain and artificial intelligence in order to fight with COVID-19 epidemic *** paper analyzes all possible newly emerging cases that are employing these two technologies for combating a pandemic like COVID-19 along with major challenges which cover all technological and motivational *** paper has also discusses the potential challenges and whether further production is required to establish a health monitoring system.

关键词： Artificial intelligence information privacy machine learning coronavirus(COVID-19) SARS-CoV-2 epidemic

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Cyber Attack Simulation and Detection in Digital Substation 3

Cyber Attack Simulation and Detection in Digital Substation

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3rd International Conference on Secure Cyber Computing and Communications, ICSCCC 2023

作者： Abraham, Doney Yayilgan, Sule Yildirim Holik, Filip Acevedo, Santiago Sanchez Gebremedhin, Alemayehu Norwegian University of Science and Technology Information Security and Communication Technology Gjovik Norway Sintef Energy Research Department of Energy Systems Trondheim Norway Norwegian University of Science and Technology Department of Manufacturing and Civil Engineering Gjovik Norway

ISBN: (纸本)9798350300710

Transforming electrical grids into digital systems has brought many advantages, but it has also introduced new vulnerabilities that cyber attackers can exploit. Therefore, early detection of these attacks is crucial to minimize the impact on power grid operations. This paper presents the results of our investigation into the simulation and detection of cyber attacks in digital substations. Our study focuses on comparing multiple machine learning algorithms for detecting replay attacks and false data injections. The results of our study show that the best model for replay attack detection is the Logistic Regression with an accuracy of 94%. On the other hand, for false data injection detection, multiple models show high precision, recall, F1-score, and accuracy, with the best model in terms of computation time being Support Vector Machine. Our findings provide valuable insights into using machine learning algorithms to simulate and detect cyber attacks in digital substations. © 2023 IEEE.

关键词： Support vector machines

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Trajectory Inference Optimization Based on Improved DR Algorithm 8th

Trajectory Inference Optimization Based on Improved DR Algor...

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8th International Conference on Mechanical, Automotive and Materials engineering, CMAME 2022

作者： Yao-Yu, Li Fei, Hou Wei, Ren Man-Hao, Ma Science and Technology On Information Systems Engineering Laboratory National University of Defense Technology Changsha China Hunan Tobacco Company Changsha China No. 31675 Troops Zhangjiakou China

ISBN: (纸本)9789819936717

Trajectory planning is often encountered in distribute tactical virtual simulation. To improve the non-smooth problem caused by the nonunified step of components in the simulation of naval battlefield, we proposed an improved DR algorithm, which is verified by simulation experiments, to provide a smooth trajectory inference method, and to achieve finer grain of trajectory inference in distributed interactive simulation. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Trajectories

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A Lightweight (Recurrent Neural Network) RNN Architecture for IoT Based Baby Monitoring System to Provide Real Time Alerts and Notification to Parents or Care Takers

A Lightweight (Recurrent Neural Network) RNN Architecture fo...

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2023 Intelligent Computing and Control for engineering and Business systems, ICCEBS 2023

作者： Kumar, N. Jagadish Harish, R. Naresh Kumar, A. Gobiharun, T. Gopinath, S. Thangamani, A. Sri Sai Ram Engineering College Department of Computer Science and Business Systems Tamilnadu Chennai India Velammal Institute of Technology Department of Information Technology Tamilnadu Chennai India

ISBN: (纸本)9798350394580

Our modern way of life is characterized by its busy, hectic nature. People are constantly on the move, juggling various responsibilities, which can make it difficult to dedicate uninterrupted care to infants. Working parents are the one facing a major parenting challenge. The paper proposes an IoT device build using light weight Recurrent Neural Network (RNN) architecture that monitors an infant's vital signs, safety, and environmental conditions in real-time, providing parents with real-time insight into the well-being of their child. By using smartphones and other connected devices, parents can access vital information about their babies remotely. Parental confidence is further enhanced by the incorporation of safety features like motion sensors and Accelerometer sensor. If certain conditions are met, the moisture level of the diaper is tracked by the humidity sensor, and the parents are notified by text or phone call. The RNN architecture implemented in our proposed device is capable to recognize the gesture and motion of the baby in the cradle. The paper outlines Lightweight Recurrent Neural Network (RNN) architecture for computationally intensive and memory Constrained IoT Based Bay monitoring system. Results from the prototype were compared with certified market alternatives proving the proposed baby monitoring system's cost-effectiveness and energy efficiency. © 2023 IEEE.

关键词： Recurrent neural networks

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