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International Conference on Biomedical engineering (IBIOMED)

作者： Vaibhav Prajapati Anish C. Turlapaty Himangshu Sarma Mrinmoy Ghorai Dept. of Electronics and Communication Engineering Indian Institute of Information Technology Sri City India Dept. of Computer Science and Engineering Indian Institute of Information Technology Sri City India

ISBN: (数字)9798350389265

ISBN: (纸本)9798350389272

In the domain of first-person shooter (FPS) gaming, mouse sensitivity is crucial for performance. This paper presents an analysis showing the correlation between specific muscle activity and mouse movement. We analyzed mouse movements from twelve subjects with varying sensitivity levels. A new dataset electromyography analysis of human activity database 8 (EMAHA-DB8), is introduced which involved four mouse designs and two game modes: Medium (normal movement) and Hard (aggressive movement). Sensitivity settings were standardized using effective dots per inch (eDPI), calculated as Mouse DPI multiplied by in-game sensitivity. Hand muscle activity was measured using five Noraxon Ultium wireless surface electromyography (sEMG) sensors with Ag/AgCl electrodes. Various regression models, including Random Forest, Support Vector Regressor, K-Nearest Neighbors Regressor, MLP Regressor, and Gradient Boost Regressor, were used to predict eDPI from muscle movement patterns. Sequential feature selection identified the top ten features, highlighting the most significant muscles for predicting sensitivity. The results demonstrate that the Extensor Carpi Radialis (ECR) is the most active muscle, followed by the Extensor Digitorum (ED), while playing the chosen FPS game. These findings give insights for ergonomic and personalized equipment design to enhance gaming experience and performance.

关键词： Sensitivity Biological system modeling Games Muscles Predictive models Nearest neighbor methods Electromyography Data models Vectors Random forests

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Benchmarking Automatic Speech Recognition Technology for Natural Language Samples of Children With and Without Developmental Delays 46

Benchmarking Automatic Speech Recognition Technology for Nat...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： McGonigle, Emma Vandam, Mark Wilkinson, Carol Johnson, Kristina T. Northeastern University Dept. of Psychology BostonMA United States Washington State University Elson S. Floyd College of Medicine Dept. of Speech & Hearing Sciences SpokaneWA United States Harvard Medical School Dept. of Pediatrics BostonMA United States Boston Children's Hospital Div. of Developmental Medicine BostonMA United States Northeastern University Dept. of Electrical & Computer Engineering BostonMA United States Northeastern University Dept. of Communication Sciences & Disorders BostonMA United States

ISBN: (纸本)9798350371499

Natural language sampling (NLS) offers rich insights into real-world speech and language usage across diverse groups;yet, human transcription is time-consuming and costly. Automatic speech recognition (ASR) technology has the potential to revolutionize NLS research. However, its performance in clinical-research settings with young children and those with developmental delays remains unknown. This study evaluates the OpenAI Whisper ASR model on n=34 NLS sessions of toddlers with and without language delays. Manual comparison of ASR to human transcriptions of children with Down Syndrome (DS;n=19;2-5 years old) and typically-developing children (TD;n=15;2-3 years old) revealed ASR accurately captured 50% of words spoken by TD children but only 14% for those with DS. About 20% of words were missed in both groups, and 21% (TD) and 6% (DS) of words were replaced. ASR also struggled with developmentally informative sounds, such as non-speech vocalizations, missing almost 50% in the DS data and misinterpreting most of the rest. While ASR shows potential in reducing transcription time, its limitations underscore the need for human-in-the-loop clinical machine learning systems, especially for underrepresented groups. © 2024 IEEE.

关键词： Clinical research

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Optimizing mmWave UAV Networks: Mobility-Aware Deployment and Resource Allocation

Optimizing mmWave UAV Networks: Mobility-Aware Deployment an...

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IEEE Conference on Vehicular Technology (VTC)

作者： Sicong Li Kazutoshi Yoshii Shigeru Shimamoto Tu Dac Ho Dept. of Communications and Computer Engineering Waseda University Tokyo Japan Dept. of Information Security and Communication Technology Norwegian University of Science and Technology Trondheim Norway

ISBN: (数字)9798331517786

ISBN: (纸本)9798331517793

Application of Unmanned Aerial Vehicles (UAVs) as small airborne base stations is gradually becoming a research hotspot in the field of wireless communications. With the flexible deployment, wide coverage and low cost, UAV communications show great potential in the fields of emergency rescue, environmental monitoring and military operations. In particular, the easier availability of line-of-sight (LOS) links for UAVs makes its combination with millimetre wave (mmWave) technology significantly enhance the communication bandwidth and data transfer rate. However, the very limited coverage of mmWave communications greatly affects the actual data rates provided by small aerial base stations of mmWave UAVs, especially considering user movement on the ground. In this paper, we study the joint optimisation problem of UAV deployment, user association, spectrum resource allocation in millimetre-wave heterogeneous networks, and explore the impact of different user movement models on system performance. Given that this problem is NP-hard, our paper proposes an MCR-SAC method to maximize the network’s total throughput. Simulation results demonstrate an average 18% improvement in total transmission rate compared to the conventional.

关键词： Wireless communication Base stations Vehicular and wireless technologies Mobility models system performance Autonomous aerial vehicles Throughput Trajectory Resource management Millimeter wave communication

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Alpha-x Framework for Assessing Network Robustness in Nakagami-m Fading and Co-Channel Interference Environments

Alpha-x Framework for Assessing Network Robustness in Nakaga...

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Delhi Section Conference (DELCON), IEEE

作者： Deepak Upadhyay Karan Siwach Shiv Ashish Dhondiyal Abhay Upadhyay Mridul Gupta Kunj Bihari Sharma Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management Greater Noida India Dept. of Computer Science and Engineering Graphic Era deemed to be University Dehradun India Dept. of Electronics and Communication Engineering Graphic Era deemed to be University Dehradun India

ISBN: (数字)9798331518592

ISBN: (纸本)9798331518608

This article explores how the Alpha-x framework can improve network robustness under Nakagami-m fading and co-channel interference (CI), The study evaluates network performance using key metrics such as outage probability, spectral efficiency, and capacity degradation. The simulations show a 50% reduction in outage probability, a 20% boost in spectral efficiency, and a 33.3% lower capacity degradation compared to traditional models. These results demonstrate how the Alpha-x framework enhances network performance by adapting to various fading conditions and interference levels in wireless communication systems. The framework not only improves reliability and efficiency but also shows practical relevance in network planning and management. This can potentially lead to better user experiences and increased operational resilience. Future research could focus on optimizing the underlying algorithms and testing their performance on a larger scale in real-world environments. As telecommunications systems evolve, frameworks like Alpha-x could play a crucial role in ensuring reliable and efficient wireless networks.

关键词： Fading channels Degradation Adaptation models Spectral efficiency Probability Robustness Power system reliability Telecommunication network reliability Interchannel interference Capacity planning

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Sentiment Analysis Twitter (X) Users Towards the Boycott of Pro-Israel Brand Using Support Vector Machine Method with SMOTE Approach

Sentiment Analysis Twitter (X) Users Towards the Boycott of ...

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Control & Automation, Electronics, Robotics, Internet of Things, and Artificial Intelligence (CERIA), IEEE International Conference on

作者： Hana Patricia Mawarnie Widodo Murien Nugraheni Dept. of Informatics and Computer Engineering Education Universitas Negeri Jakarta Jakarta Indonesia Dept. of Information System and Technology Universitas Negeri Jakarta Jakarta Indonesia

ISBN: (数字)9798331511166

ISBN: (纸本)9798331511173

The Israel-Palestine conflict that occurred on October 7, 2023, resulted in a boycott of brands known to be pro-Israel. Twitter or X, as one of the largest social media platforms in the world, became a platform for people to voice their opinions regarding the boycott. This study aims to analyze the sentiment of Twitter or X users towards the boycott of pro-Israel brands using the Support Vector Machine (SVM) method with the SMOTE (Synthetic Minority Oversampling Technique) approach. The Support Vector Machine (SVM) method is a machine learning method used for classification and regression. SMOTE is a technique used to overcome data imbalance. The data used in this study is Indonesian language tweet data from October 7, 2023, to April 7, 2024. The data was collected using data crawling techniques. The results of the study from the 80:20 data split, show that the Support Vector Machine (SVM) polynomial kernel model with the SMOTE technique has better performance in analyzing the sentiment of Twitter or X users towards the boycott of pro-Israel brands, with an accuracy value of 98,47%.

关键词： Support vector machines Sentiment analysis Accuracy Social networking (online) Blogs Machine learning Polynomials Internet of Things Kernel Robots

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Predicting Customer Purchase Intent Using Logistic Regression: A Data-Driven Approach 2

Predicting Customer Purchase Intent Using Logistic Regressio...

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2nd International Conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Rajarajachozhan, C. Karthika, G. Rajakrishnammal, A. Mano, M. Kumar, P. Nithish Jayahari, E. Saveetha Engineering College Dept. of Electronics and Communication Engineering Tamil Nadu Chennai India Saveetha Engineering College Dept. of Artificial Intelligence and Data Science Tamil Nadu Chennai India Saveetha Engineering College Dept. of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331505745

Predicting customer purchase intent is crucial for modern businesses in order to improve engagement, refine marketing strategies, and increase revenue. Conventional rule-based systems encounter difficulties with dynamic and extensive customer data, limiting their flexibility and precision. This project employs a machine learning methodology utilizing logistic regression to forecast customer intent based on demographic, transactional, and behavioral data. The proposed model analyses input features including age, browsing history, and previous purchases, employing sophisticated data preprocessing methods such as One-Hot Encoding and feature scaling to guarantee data integrity. Through hyperparameter tuning and the assessment of critical metrics including accuracy, precision, recall, and Fl-score, the system provides dependable and actionable insights. Real-time predictive capabilities enable businesses to customize customer interactions, facilitating targeted marketing and enhancing customer experience. This project underscores the capacity of predictive analytics to tackle real-world issues, facilitating data-driven decision-making and sustainable business development. © 2025 IEEE.

关键词： Logistic regression

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On Optimal Synchronization of Diffusively Coupled Heterogeneous Van der Pol Oscillators

arXiv

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arXiv 2023年

作者： Trummel, Tabea Liu, Zonglin Stursberg, Olaf Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel Germany

This paper proposes a novel method to achieve and preserve synchronization for a set of connected heterogeneous Van der Pol oscillators. Unlike the state-of-the-art synchronization methods, in which a large coupling gain is applied to couple any pair of connected oscillators, the proposed method first casts the whole synchronization process into two phases. The first one considers the period from the beginning to the first instant of synchronization, while the second phase covers the following time in which synchronization must be preserved. It is shown that a large coupling gain is adopted for the first phase, while the averaged coupling gain to preserve the synchronization in the second phase can be reduced significantly by using an offline optimized coupling law. Efficiency and performance of this method are confirmed by a set of numerical tests with different graphs and system dynamics. © 2023, CC BY-NC-ND.

关键词： Synchronization

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Edge Computing Devices Authentication using Quantum Computing

Edge Computing Devices Authentication using Quantum Computin...

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International Conference on Computing and Networking Technology (ICCNT)

作者： Vinayak A. Telsang Mahabaleshwar S. Kakkasageri Anil D. Devangavi Dept. of Computer Science and Engineering Biluru Gurubasava Mahaswamiji Institute of Technology Mudhol India Dept. Electronics and Communication Engineering Basaveshwar Engineering College Bagalkote India Dept. of Artificial Intelligence and Machine Learning Basaveshwar Engineering College Bagalkote India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Edge computing allows different technologies such as Internet of Things (IoT), vehicle-to-vehicle communications(V V), Industrial IOT (IIOT) to connect to the cloud computing to facilitate end users. The edge networks uses low bandwidth, and enhances the processing speed. With more number of IoT devices connected in the network the privacy of data stored at the edge server also under threat. Authentication is a major challenge which is be addressed to provide security and privacy to IoT devices connected in the network. The existing works uses cryptographic algorithms to solve the authentication problems, but with increase in growth of quantum computers and quantum computing, breaking the complex cryptographic algorithm is not an issue. Hence one should adopt the quantum approach to provide authentication in edge network. The proposed work uses quantum key and context information of IoT devices to store in the edge server using blockchain, which proves to be more secure. The performance analysis shows that it is better with respect to registration, encryption, decryption and authentication of IoT devices.

关键词： Privacy Quantum computing Costs Authentication Vehicular ad hoc networks Blockchains Registers Servers Industrial Internet of Things Edge computing

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ML-Inspired Multiple Relay Selection in UAV-Enabled Untrusted Networks

ML-Inspired Multiple Relay Selection in UAV-Enabled Untruste...

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2025 IEEE Wireless communications and Networking Conference, WCNC 2025

作者： Tsipi, Lefteris Michailidis, Emmanouel T. Maliatsos, Konstantinos Vouyioukas, Demosthenes University of the Aegean Dept. of Information and Communication Systems Engineering Samos83200 Greece University of West Attica Dept. of Informatics and Computer Engineering Egaleo12243 Greece University of Piraeus Dept. of Digital Systems Piraeus18534 Greece

ISBN: (纸本)9798350368369

In this paper, multiple relay selection (MRS) schemes for untrusted unmanned aerial vehicle (UAV)-enabled networks are proposed. In this context, various machine learning (ML) models are employed to improve secrecy performance by optimally selecting multiple aerial relays from the available ones, all of which are regarded as untrusted. Notably, these ML models can cope with the quickly changing and random positioning of the aerial relays, effectively decoupling the intricate coupling relationship between the secrecy rate, channel coefficients, and inter-node distances. The results indicate that the ML-based MRS schemes obtain sufficient accuracy and better decoupling than a respective exhaustive searching (ES) approach, while also maintaining a lower computational complexity. © 2025 IEEE.

关键词： Drones

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Electromagnetic Compatibility in Wearable Devices Using Artificial Magnetic Conducting Surfaces

Electromagnetic Compatibility in Wearable Devices Using Arti...

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Space, Aerospace and Defence Conference (SPACE), IEEE

作者： Ashish Raj Nisha Gupta Itu Snigdh Dept. of Electronics and Communication Birla Institute of Technology Mesra Ranchi India Dept. of Computer Science and Engineering Birla Institute of Technology Mesra Ranchi India

ISBN: (数字)9798350367386

ISBN: (纸本)9798350367393

The electromagnetic compatibility (EMC) is an important issue for wearable devices due to their proximity to the human body and the potential for interference with other wearable/non-wearable electronic devices lying in the vicinity. The role of artificial magnetic surfaces (AMC) in achieving the EMC is investigated in this paper. The wearable RFID tag placed over a foam substrate is mounted on the proposed AMC structure. A detailed parametric study to investigate the effect of the dimension of the AMC ground plane is carried out which plays an important role in enhancing the directivity and F/B ratio.

关键词： Antenna measurements Wireless communication Area measurement Magnetic devices Electromagnetic compatibility Extraterrestrial measurements Wearable devices

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