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2nd International Conference on Advanced Innovations in Smart Cities, ICAISC 2025

作者： Hossian, Md. Ismail Hannan, Nasif Das, Hridoy Rahman Akash, Md. Ashiqur Ashraf, Md Sazid Shufian, Abu American International University Dept. of Electrical and Electronic Engineering Dhaka Bangladesh Dhaka Bangladesh Texas Tech University Dept. of Electrical and Computer Engineering LubbockTX United States Lamar University Dept. of Electrical and Computer Engineering BeaumontTX United States

ISBN: (纸本)9798331506995

Extensively used in electric vehicles (EVs), lithium-ion (Li-ion) batteries, undergo significant degradation after several charge-discharge cycles, leading to their retirement from high-demand applications. However, these batteries can still serve fewer demanding applications in their second life. Estimating the State of Health (SoH) in second-life applications is crucial for ensuring their reliable performance. This paper presents a method for SoH estimation using a Support Vector Regression (SVR) model trained in first-life battery data and applied to second-life usage. Two health indicators, TIECVD (Time Interval of Equal Charging Voltage Difference) and TIEDVD (Time Interval of Equal Discharging Voltage Difference) are extracted from voltage measurements and used as predictors in the SVR model. The method is validated using NASA's battery ageing dataset, consisting of three batteries (B0005, B0006, and B0007) with a rated capacity of 2 Ah. The proposed model achieves RMSE values of 0.0061, 0.0158, and 0.0047 for the respective batteries during second life SoH estimation. This approach provides a practical, low-cost solution for estimating battery health in second-life applications without extensive monitoring systems. © 2025 IEEE.

关键词： Lithium-ion batteries

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Implementing Secure Key Management and Distribution in Cloud Environment 2

Implementing Secure Key Management and Distribution in Cloud...

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2nd IEEE International Conference on Blockchain and Distributed Systems Security, ICBDS 2023

作者： Lamsal, Aman Paul, Aniket Buchade, Amar Nalavade, Jagannath Bidwe, Ranjeet MIT Art Design and Technology University Dept. of Computer Science and Engineering Pune India Vishwakarma Institute of Information Technology Pune Savitribai Phule Pune University Pune India Department of Computer Engineering Pune India

ISBN: (纸本)9798350333763

Key management is considered as an essential aspect of securing cloud-based systems and data. As more organizations move their operations to cloud, the need for secure and efficient key management solutions becomes increasingly important. En-suring security of cloud computing is essential as many users often store their sensitive information with the cloud providers. Cloud service providers offer Key Management Services (KMS) to manage cryptographic keys for their customers, but there are still several challenges related to key management in cloud environments, including key storage, access control, and key rotation. Our research project aims to address these challenges by developing a secure and efficient key management solution for cloud-based systems. We propose a system that uses a combination of various cloud services and encryption algorithms to generate, store, and manage cryptographic keys securely. Our system provides granular access controls, and strong encryption to ensure the confidentiality and integrity of the keys. We believe that our proposed solution will help cloud service providers and organizations to manage their cryptographic keys more efficiently and securely, reducing the risk of unauthorized access and data breaches. This research paper provides a method to effectively manage, store and share the secret key between the parties using the concept of Threshold Cryptography. © 2023 IEEE.

关键词： Access control

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FA-Net: A Fuzzy Attention-aided Deep Neural Network for Pneumonia Detection in Chest X-Rays

arXiv

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arXiv 2024年

作者： Roy, Ayush Bhattacharjee, Anurag Oliva, Diego Ramos-Soto, Oscar Alvarez-Padilla, Francisco J. Sarkar, Ram Dept. of Electrical Engineering Jadavpur University Kolkata India Dept. of Computer Science and Engineering Kalinga Institute of Industrial Technology Bhubaneswar India Universidad de Guadalajara CUCEI Guadalajara Mexico Dept. of Computer Science and Engineering Jadavpur University Kolkata India

Pneumonia is a respiratory infection caused by bacteria, fungi, or viruses. It affects many people, particularly those in developing or underdeveloped nations with high pollution levels, unhygienic living conditions, overcrowding, and insufficient medical infrastructure. Pneumonia can cause pleural effusion, where fluids fill the lungs, leading to respiratory difficulty. Early diagnosis is crucial to ensure effective treatment and increase survival rates. Chest X-ray imaging is the most commonly used method for diagnosing pneumonia. However, visual examination of chest X-rays can be difficult and subjective. In this study, we have developed a computer-aided diagnosis system for automatic pneumonia detection using chest X-ray images. We have used DenseNet-121 and ResNet50 as the backbone for the binary class (pneumonia and normal) and multi-class (bacterial pneumonia, viral pneumonia, and normal) classification tasks, respectively. We have also implemented a channel-specific spatial attention mechanism, called Fuzzy Channel Selective Spatial Attention Module (FCSSAM), to highlight the specific spatial regions of relevant channels while removing the irrelevant channels of the extracted features by the backbone. We evaluated the proposed approach on a publicly available chest X-ray dataset, using binary and multi-class classification setups. Our proposed method achieves accuracy rates of 97.15% and 79.79% for the binary and multi-class classification setups, respectively. The results of our proposed method are superior to state-of-the-art (SOTA) methods. The code of the proposed model will be available at: https://***/AyushRoy2001/FA-Net. © 2024, CC BY.

关键词： Medical imaging

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Bringing DNS Service to 5G Edge for Reduced Latencies in mMTC Applications

Bringing DNS Service to 5G Edge for Reduced Latencies in mMT...

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IEEE International Conference on Industrial Technology (ICIT)

作者： Ricardo Harrilal-Parchment Diana Pineda Kemal Akkaya Abdullah Aydeger Alexander Perez-Pons Dept. of Electrical and Computer Engineering Florida International University Miami FL USA Dept. of Electrical Engineering and Computer Science Florida Institute of Technology Melbourne FL USA

5G brings many improvements to cellular networks in terms of performance, such as lower latency, improved network efficiency, and higher throughput, making it an attractive candidate for many applications. One such domain is industrial applications that may require real-time guarantees to transmit time-critical control messages. Assuming the immense number of devices exchanging data in support of Massive Machine-Type Communications (mMTC) applications, the capability of the cellular infrastructure to handle a large number of real-time transmissions may be inadequate. For such cases, there exists an acute desire to reduce any overheads as much as possible in order to guarantee certain deadlines. One such target is the Domain Name System (DNS) service, for which queries precede almost every new network request. This incorporates additional communication delays based on the response time, which in turn is affected by the proximity of the DNS server. While bringing DNS service to the edge has been touted as a logical solution, its integration with 5G systems is still challenging. This is due to the inability to access the DNS query information at the application layer since the User Equipment (UE) traffic is tunneled through to the core network. To this end, we propose a novel approach that can identify DNS queries at the base stations through Software-Defined Networking (SDN) capabilities. Specifically, we develop an SDN controller which is used to identify and extract DNS queries at the base station and handle the query at the edge without going through the 5G core network. This approach was implemented in a virtualized 5G network, in which we demonstrate that it is feasible and can potentially bring significant performance gains, especially in the case of mMTC applications.

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A/B Testing and Audience Creation for Effective Digital Marketing: Evidences from Facebook Analytics 6

A/B Testing and Audience Creation for Effective Digital Mark...

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6th International Conference on Information Systems and computer Networks, ISCON 2023

作者： Singh, Nripendra Jaiswal, Anand Singh, Prakhar Sharma, Dilip Kr. PennWest University Dept. of Management and Marketing Clarion United States New Delhi Institute of Management Dept. of Operations and Scm Delhi India PennWest University Computer Information Science Department Clarion United States GLA University Dept. of Computer Engineering and Applications Mathura India

ISBN: (纸本)9798350346961

Digital marketers use a number of strategies, including custom audiences, lookalike audiences, ad creative, and A/B testing, to organize and enhance how they present advertisements to consumers. The purpose of this research is to show an effective method and process for running advertisements on Facebook more efficiently. The study has taken a case study of a company- Great Deal Tires and analyzed the Facebook analytics data and insights with A/B testing and audience creation approach to assess the digital marketing impact. The study has implemented three test strategies for designing and placing Facebook ads for Great Deal Tires in order to assess the marketing impact. In the first test, a custom audience was chosen, and an identical Facebook video ad's impact was evaluated based on the duration of the ad. In the second test, A/B testing was used to test Facebook ads, and the results of the tests were compared across three different audience groups to determine how well the ads performed. The third test evaluated on the audience conversion in the terms of subscribing to the Page, in which three different ads were shown to three distinct audience groups in order to compare the effects of the various ads on the diverse audiences. The study's findings provided important information about Facebook ad placement, its effects on various audience segments, and digital marketing strategies to increase audience outreach. The study is important in demonstrating that Facebook advertisements are an effective marketing medium and a digital marketer can achieve good outreach with a modest investment of funds.. © 2023 IEEE.

关键词： Marketing

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Lyapunov-based Resilient Secondary Synchronization Strategy of AC Microgrids Under Exponentially Energy-Unbounded FDI Attacks

arXiv

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arXiv 2024年

作者： Rajabinezhad, Mohamadamin Shams, Nesa Ali Khan, Asad Beg, Omar A. Zuo, Shan Dept. of Electrical and Computer Engineering University of Connecticut StorrsCT United States Dept. of Electrical and Computer Engineering University of Texas at San Antonio San AntonioTX United States Dept. of Electrical and Computer Engineering University of Texas Permian Basin OdessaTX United States

This article presents fully distributed Lyapunov-based attack-resilient secondary control strategies for islanded inverter-based AC microgrids, designed to counter a broad spectrum of energy-unbounded False Data Injection (FDI) attacks, including exponential attacks, targeting control input channels. While distributed control improves scalability and reliability, it also increases susceptibility to cyber threats. The proposed strategies, supported by rigorous Lyapunov-based proofs, ensure uniformly ultimately bounded (UUB) convergence for frequency regulation, voltage containment, and power sharing, even under severe cyber attacks. The effectiveness of the proposed approach has been demonstrated through case studies on a modified IEEE 34-bus system, leveraging simulations and real-time Hardware-in-the-Loop experiments with OPAL-RT. Copyright © 2024, The Authors. All rights reserved.

关键词： Hardware-in-the-loop simulation

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Literature Survey on Design and Analysis of Microstrip Patch Antenna for Wireless Application

Literature Survey on Design and Analysis of Microstrip Patch...

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2024 Asia Pacific Conference on Innovation in Technology, APCIT 2024

作者： Pushpanjali, J. Ezhilarasan, K. Satheesha, T.Y. CMR University India Bangalore Institute of Technology India CMR University School of Engineering and Technology Dept. of ECE Bengaluru India REVA University School of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798350361537

The rapid evolution of wireless communication technologies necessitates the continuous enhancement of antenna systems to meet the growing demands for compactness, flexibility, and multifunctionality. Among the myriad antenna technologies, microstrip patch antennas (MPAs) have emerged as a dominant and versatile solution for wireless applications. This literature survey reviews recent advancements in the design and analysis of microstrip patch antennas, focusing on their application in wireless communication. The survey explores various design techniques, analytical and numerical methods, emerging applications, and the challenges faced in the field. By synthesizing the latest research findings, this survey aims to provide a comprehensive overview of the state-of-the-art in microstrip patch antenna technology for wireless applications. © 2024 IEEE.

关键词： Slot antennas

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Robust Bagging and Boosting Models for MQTT IoT Intrusion Detection Systems 10

Robust Bagging and Boosting Models for MQTT IoT Intrusion De...

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10th International Conference on Platform Technology and Service, PlatCon 2024

作者： Le, Thi-Thu-Huong Yun, Jiwon Kim, Jaehyun Adiputra, Andro Aprila Kim, Howon Blockchain Platform Research Center Pusan National University Busan Korea Republic of Dept. of Computer Science&Engineering Pusan National University Busan Korea Republic of

ISBN: (纸本)9798350367874

The proliferation of MQTT-based Internet of Things (IoT) networks introduces significant security challenges exacerbated by the imbalance between normal and attack data distributions. This paper proposes a robust approach to address this challenge through ensemble learning techniques, including bagging and boosting models. Our approach involves comprehensive feature engineering, hyperparameter tuning, and rigorous model evaluation using precision-recall curves, accuracy, precision, recall, and F1-score metrics. Our method leverages Bagging Decision Trees (BDT), Random Forest (RF), AdaBoost, CatBoost, Gradient Boosting Machine (GBM), LightGBM, and XGBoost to improve the detection accuracy of MQTT IoT intrusion detection systems. We conduct extensive experiments on diverse three-feature datasets, evaluating precision-recall curves and comprehensive metrics to demonstrate the effectiveness of our approach. Our work underscores the importance of ensemble learning in bolstering MQTT IoT network security and suggests future research directions to enhance detection capabilities. © 2024 IEEE.

关键词： Network intrusion

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CMax-SLAM: Event-based Rotational-Motion Bundle Adjustment and SLAM System using Contrast Maximization

arXiv

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arXiv 2024年

作者： Guo, Shuang Gallego, Guillermo The Dept. of Electrical Engineering and Computer Science TU Berlin Berlin Germany Excellence Cluster Berlin Germany

Event cameras are bio-inspired visual sensors that capture pixel-wise intensity changes and output asynchronous event streams. They show great potential over conventional cameras to handle challenging scenarios in robotics and computer vision, such as high-speed and high dynamic range. This paper considers the problem of rotational motion estimation using event cameras. Several event-based rotation estimation methods have been developed in the past decade, but their performance has not been evaluated and compared under unified criteria yet. In addition, these prior works do not consider a global refinement step. To this end, we conduct a systematic study of this problem with two objectives in mind: summarizing previous works and presenting our own solution. First, we compare prior works both theoretically and experimentally. Second, we propose the first event-based rotation-only bundle adjustment (BA) approach. We formulate it leveraging the state-of-the-art Contrast Maximization (CMax) framework, which is principled and avoids the need to convert events into frames. Third, we use the proposed BA to build CMax-SLAM, the first event-based rotation-only SLAM system comprising a front-end and a back-end. Our BA is able to run both offline (trajectory smoothing) and online (CMax-SLAM back-end). To demonstrate the performance and versatility of our method, we present comprehensive experiments on synthetic and real-world datasets, including indoor, outdoor and space scenarios. We discuss the pitfalls of real-world evaluation and propose a proxy for the reprojection error as the figure of merit to evaluate event-based rotation BA methods. We release the source code and novel data sequences to benefit the community. We hope this work leads to a better understanding and fosters further research on event-based ego-motion estimation. © 2024, CC BY-NC-ND.

关键词： Cameras

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Quantum Error Correction Based Entanglement Routing in Socially-Aware Quantum Networks

Quantum Error Correction Based Entanglement Routing in Socia...

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2024 IEEE Global Communications Conference, GLOBECOM 2024

作者： Huang, Shao-Min Chien, Ming-Huang Wen, Ting-Yuan Wang, Qian-Jing Kuo, Jian-Jhih National Chung Cheng University Dept. of Computer Science and Information Engineering Chiayi Taiwan Academia Sinica Research Center for Information Technology Innovation Taipei City Taiwan

ISBN: (纸本)9798350351255

Quantum teleportation enables high-security communications via quantum entanglement. However, decoherence, signal decay, and environmental interference may cause imperfect entangled pairs with low fidelity. Such entangled pairs may easily generate errors when used to teleport data qubits and cause fatal computation errors on quantum computers. Fortunately, data qubits can be encoded via quantum error correction (QEC) code to recover the detected error to some extent. Nevertheless, letting any repeaters process data qubits is dangerous because malicious repeaters may peep at, destroy, or fake the data qubits. Thus, in this paper, we propose a novel QEC-enabled routing framework MOON facilitated with the concept of social networks (SNs) for quantum networks (QNs). MOON selects only trusted repeaters to process data qubits and exhibits elastic routing with QEC to maximize the throughput without errors. Last, simulation results show that our framework can outperform existing approaches by up to 34% on network throughput without errors. © 2024 IEEE.

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