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Mouse Cursor Control Using Dynamic Hand Gesture Recognition

Mouse Cursor Control Using Dynamic Hand Gesture Recognition

引用

2024 IEEE International Conference on Communication, Computing and Signal Processing, IICCCS 2024

作者： Fonseca, Darryll Majumder, Tanmoy Mitra, Banita Das, Arpita Das, Biswajit Bhowmik, Anirban School of Computer Engineering Vellore Institute of Technology Chennai India School of Electronics Engineering Vellore Institute of Technology Chennai India Tripura Institute of Technology Dept. of Electronics and Communication Engineering Agartala India

ISBN: (纸本)9798350390759

Hand gestures are the most common way of interaction among humans in the physical world. Gestures are used in everyday life to interact with objects around us. Hand gesture is becoming the most comfortable alternative technique to replace the conventional mouse. Herein, we report the development of a dynamic hand gesture user interface that tracks and recognizes in real time based on color segmentation and recognition. Operation such as file dragging, right and left clicks and scrolling up and down has been studied. The colors are calibrated in order to make sure that no other similar shades of color from the background interfere during the process. © 2024 IEEE.

关键词： Gesture recognition

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Multiple Small-Scale Object Detection in Aerial Vehicle Images using Standard or Optimized YOLO Detectors 17

Multiple Small-Scale Object Detection in Aerial Vehicle Imag...

引用

17th International Conference on INnovations in Intelligent SysTems and Applications, INISTA 2023

作者： Kaymakci, Zekeriya Eren Akarsu, Meftun Ozturk, Ceyda Nur Bursa Uludaǧ University Computer Engineering Dept. Bursa Turkey Bursa Uludaǧ University Electrical and Electronics Engineering Dept. Bursa Turkey

ISBN: (纸本)9798350338904

Widespread employment of low-altitude aerial vehicles that are equipped with cameras and communication devices has increased the range of mobile surveillance applications. Object tracking, anomaly detection, synopsis view construction, or statistical analysis systems using aerial vehicle images require efficient multiple small-scale object detection as an initial stage. In this study, standard YOLO object detectors were trained with the images of VisDrone-2019 using computational resources of a cloud platform, and these detectors were optimized for various hardware systems considering their embedded use in aerial vehicles. Comparisons between six different YOLO versions indicated that YOLOv8-1280 and YOLOv7-1280 were the most precise but the slowest detectors for small-scale objects in aerial images with their 0.489% and 0.396% mean average precision (mAP) values, respectively. However, the computational speeds of YOLOv8-640 and YOLOv7-640 were almost quadrupled without significant precision loss. According to the experiments that compared the standard and optimized versions of YOLOv3, YOLOv4, and YOLOv5, while the optimized detector versions that were generated using TensorRT could process about 2 times more frames per second (fps), up to 6% reduction in their mAP values was observed. Overall, YOLOv5-640 was the best model in trading off the mAP values for fps with its 5.67 and 65.56 fps values in Jetson Nano and Jetson Orin. © 2023 IEEE.

关键词： Object detection

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Protocol Stack-Aware Comparison of Centroid Localization Algorithms Based on Anchor Density Using Cooja

Protocol Stack-Aware Comparison of Centroid Localization Alg...

引用

2023 International Conference on Smart Applications, Communications and Networking, SmartNets 2023

作者： Turan, Ismail Hakki Yildiz, Dogan Demirci, Sercan Ondokuz Mayis University Dept. of Computer Engineering Samsun Turkey Ondokuz Mayis University Dept. of Electrical & Electronics Engineering Samsun Turkey

ISBN: (纸本)9798350302523

Location reconnaissance of sensor nodes is crucial for many outdoor applications. In fact, some outdoor wireless sensor networks are deployed solely for location information. However, adding a GPS module to each node can increase the cost of the wireless sensor network. Therefore, software-based location estimation using radio signals becomes necessary. Hardware without a GPS module requires nodes with known locations in the network. To keep the cost of the network economically reasonable, the density of anchor nodes in the network with expensive nodes that have GPS modules should be investigated. In this study, an alternative method has been developed for transmitting localization packets in Contiki-NG firmware Wireless Sensor Networks (WSNs), as point-to-point communication is not suitable for the nature of WSNs. Using the method, the minimum anchor node density and transmission range required for localization in mesh topologies, was investigated according to negligible location estimation errors with Cooja network simulation environment. Three centroid-based algorithms have been compared based on localization error and localization ratio. At the end of the study, the minimum transmission range and anchor density ratio required for localization algorithms were determined. It was shown how effective the MAC policy was up to which transmission range. It was demonstrated how incorrect conclusions could be reached when network protocol stack requirements were not considered. © 2023 IEEE.

关键词： Firmware

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Advanced Graduate Admission Prediction 8

Advanced Graduate Admission Prediction

引用

8th IEEE International Conference for Convergence in Technology, I2CT 2023

作者： Nalam, Srujan Aleemuddin, Mohd Kadari, Yuva Teja Nanda Kumar, M. Sreenidhi Institute of Science and Technology Dept. of Electronics and Computer Engineering Hyderabad India

ISBN: (纸本)9798350334012

The process of choosing and narrowing down universities for graduate program admission plays a crucial role in the overall application procedure. This project aims to examine the uses of machine learning models to predict the likelihood of a student being accepted into a master's program. Hence this will provide students with an early indication of their admission prospects. In the past, models were constructed using different algorithms such as random forest, multiple linear regression and k-nearest neighbor. Results have shown that logistic regression out performs these algorithms. The admission of students into educational institutions is a critical issue, and this study addresses the application of machine learning algorithms to predict the chance of admission of students into master's programs. These models include SVM, Gaussian Naive Bayes, and Logistic Regression, with experiments demonstrating that the Logistic Regression model surpasses the others. This will give students a better understanding of their admission prospects in advance. © 2023 IEEE.

关键词： Students

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Augmented Reality-Based Navigation: Bridging Indoor and Outdoor Environments through Immersal Integration 1

Augmented Reality-Based Navigation: Bridging Indoor and Outd...

引用

1st IEEE International Symposium on Consumer Technology, ISCT 2024

作者： Maulana Achmad, Zacky Sukaridhoto, Sritrusta Agus Zainuddin, Muhammad Savila, Aurent Firmansyah, Ardian Mega Saputra, Septa Politeknik Elektronika Negeri Surabaya Dept. of Informatics and Computer Engineering Surabaya Indonesia Politeknik Elektronika Negeri Surabaya Dept. of Multimedia Creative Technology Surabaya Indonesia

ISBN: (纸本)9798350365191

A navigation system is an essential tool designed to assist users in determining and following a route from one location to another. Navigation systems are typically categorized into two types: outdoor navigation systems designed for open areas and indoor navigation systems used within enclosed spaces. However, transitioning between indoor and outdoor environments has limitations, often requiring users to switch applications, such as using GPS for outdoor navigation and a different application for indoor navigation. Therefore, we propose the integration of indoor and outdoor navigation based on Augmented Reality. The development of AR navigation system begins with the creation of 3D assets of the Politeknik Elektronika Negeri Surabaya (PENS) campus, which is the site of our research including three buildings for indoor navigation and the connecting roads between the buildings for outdoor navigation. The development of this navigation system uses the Immersal SDK as a library for Spatial Mapping, Localization and System Integration. Several features are included, such as indoor-outdoor navigation, multilevel floor navigation, and zero additional devices. The system testing results are based on user testing, integration testing, and multilevel floor testing. From User Testing with PIECES Framework, 32 respondents expressed satisfaction with the proposed system. Integration Testing showed that the system could navigate between indoor and outdoor environments. And Multilevel Floor Testing demonstrated that the system could navigate within buildings with multiple floors. © 2024 IEEE.

关键词： Augmented reality

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Unlocking Efficiency in Agricultural Supply Chains: A Secure and Transparent Approach through Blockchain Technology

Unlocking Efficiency in Agricultural Supply Chains: A Secure...

引用

2024 IEEE International Conference on Emerging Technologies in computer Science for Interdisciplinary Applications, ICETCS 2024

作者： Lohith, J.J. Shreya, S. Hamsa Priya, J.L. B.M.S. College of Engineering Dept. of Computer Science and Engineering Bangalore India D.S.C.E Dept. of Information Science and Engineering Bangalore India B.M.S. College of Engineering Dept. of Electronics and Telecommunications Bangalore India

ISBN: (纸本)9798350372502

Supply Chain Management (SCM) involves orchestrating various processes that extend from acquiring raw materials to delivering finished products to end consumers. The key objectives of a proposed supply chain in agriculture, emphasizes information-driven processes, cost reduction, and customer impact. It creates a versatile system capable of managing the supply chain for diverse commodities within a country, while also addressing the crucial need for increased transparency and traceability in data throughout the chain of activities. In our proposed approach to agricultural supply chain management (SCM), the focus is on creating a secure, transparent, and traceable SCM. To achieve this, we leverage cutting-edge technologies like the Ethereum blockchain and the Interplanetary File System (IPFS). The resulting software is a Decentralized Application (DApp) that orchestrates a series of activities within the agricultural industry, using cryptocurrencies to establish a seamless and efficient supply chain management system. This software platform is fortified by the secure algorithms of blockchain, providing an added layer of reliability. Additionally, our application incorporates transparency and traceability, ensuring user-friendly functionality and making it more accessible for users. © 2024 IEEE.

关键词： Blockchain

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Analyzing Multimodal Sensory Signals Using Unsupervised Machine Learning 10

Analyzing Multimodal Sensory Signals Using Unsupervised Mach...

引用

10th International Conference on computer, Control, informatics and its Applications, IC3INA 2023

作者： Angdresey, Apriandy Ooi, Jing-Quan Universitas Katolik de la Salle Dept. of Informatics Engineering Manado Indonesia Universiti Tunku Abdul Rahman Dept. Electrical and Electronics Engineering Selangor Malaysia

ISBN: (纸本)9798350394870

The Internet of Things (IoT) relies on sensor technology to enable seamless communication and data gathering across diverse devices and systems. This study explores the functionality of flexible and multimodal sensors based on GNP/HEC nanocomposites. These sensors hold promise for a wide range of applications spanning from medical contexts to industrial settings. A central aspect of comprehending IoT data organization is clustering analysis. In our study, we contribute by integrating GNP/HEC sensors into an Arduino system and applying the k-means clustering algorithm to identify patterns and anomalies in environmental monitoring. Our evaluation demonstrates that optimized clustering with k = 6, resulting in a Silhouette Score of 0.6557769, has the potential to significantly enhance industrial safety applications, particularly in the monitoring of temperature and ammonia levels. © 2023 IEEE.

关键词： K-means clustering

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Design and construction of a medium chamber for a tissue bioreactor system 22

Design and construction of a medium chamber for a tissue bio...

引用

2024 IEEE 22nd World Symposium on Applied Machine Intelligence and informatics, SAMI 2024

作者： Kolembusova, Petra Ferencik, Norbert Steingartner, William Hudak, Radovan Sedlakova, Veronika Stefanovic, Branko Technical University of Košice Dept. of Biomedical Engineering Košice Slovakia Technical University of Košice Dept. of Computer and Informatics Košice Slovakia

ISBN: (纸本)9798350317206

In the field of tissue engineering and regenerative medicine, understanding the intricate properties and behaviors of cells and tissues within their natural environment is fundamental for translating theory into practical applications. This scientific article introduces the development of a functional medium chamber. The design of this chamber was driven by the need to align it with the volume requirements and specified conditions of bioreactor systems. The objective was to acquire new practical and theoretical insights in the realms of tissue engineering, 3D printing, and bioreactor technology. The emphasis throughout the project was on simplicity in design, with the aim of enabling easy construction and disassembly of the model. This initiative not only involved the creation of a chamber design but also encompassed the 3D printing process and extended functional testing over the long term. The design parameters, including the closing mechanism and chamber shape, were thoughtfully selected to enhance versatility, making the chamber adaptable for various bioreactor systems in the future. Subsequently, the printed chamber underwent rigorous testing using water as the culture medium, laying the groundwork for potential advancements in bioreactor technology and tissue cultivation. © 2024 IEEE.

关键词： Bioreactors

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Zero-Shot Sentiment Analysis Exploring BART Models 8

Zero-Shot Sentiment Analysis Exploring BART Models

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8th IEEE/ACIS International Conference on Big Data, Cloud Computing, and Data Science, BCD 2023

作者： Kyritsis, Konstantinos Perikos, Isidoros Paraskevas, Michael University of Peloponnese Computer Technology Institute and Press "diophantus" Electrical and Computer Engineering Dept. Patras Greece University of Patras Computer Engineering and Informatics Department Patras Greece

ISBN: (纸本)9798350373615

The BART model is an advanced adaptation of transformers introduced by Facebook. It has incorporated elements from both BERT and GPT transformers, enabling significant advancements in language understanding and general speech processing. Utilizing both encoder and decoder components, BART proves versatile for various tasks, including translation, text completion, automatic sentence generation, entity recognition, sentiment analysis, and more. In this study, we focus on the study of pretrained models, BART and a modified version called distilbart, in the context of Zero-Shot Text Classification. In the experimental study we dive into the Zero-Shot technique applied to various pretrained Transformers. Our analysis demonstrates that, depending on the Model we utilize, we can achieve F1 scores of up to 88%, showcasing the model's effectiveness in discerning classes for this Sentiment Analysis problem using the Zero-Shot Text Classification technique. © 2023 IEEE.

关键词： Sentiment analysis

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Wearable Sensor-Based Gait Analysis: Advanced Feature Extraction Techniques 2

Wearable Sensor-Based Gait Analysis: Advanced Feature Extrac...

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2nd IEEE International Conference on Advances in Information Technology, ICAIT 2024

作者： Karthik Salian, Preethi K. Ranjith, H.D. Salian, Supriya Jayashree Shetty, K. Annapoorneshwari NMAM Institute of Technology Udupi Nitte India NMAM Institute of Technology Udupi Nitte India Dept. of Electronics and Communication Engineering Mangalore Institute of Technology and Engineering Moodabidri India Dept. of Computer Science and Engineering St. Joseph Engineering College Mangaluru India Dept. of Computer Science and Engineering NM Institute of Technology Bangalore India Mangalore India

ISBN: (纸本)9798350383867

Gait irregularities among adults are common in clinical settings and can result in severe consequences such as falls and injuries, leading to increased healthcare costs. Presently, gait evaluation primarily relies on subjective assessments using standardized clinical tools. Although motion capture systems like Qualisys and Vicon offer more objective analysis, they depend on costly, intricate equipment in specialized gait laboratories. Due to limited accessibility, involving factors like equipment scarcity, demand for technical expertise, in-person patient visits, complex procedures, and high costs, these methods remain largely inaccessible. Consequently, there is a pressing need for a more objective and cost-effective gait assessment solution. The proposed work introduces an economical automated feature extraction approach to address this issue. Leveraging Inertial Measurement Unit (IMU) sensors, comprising a three-axis gyroscope and accelerometer system captures precise foot position and orientation data crucial for comprehensive gait analysis. IMU sensors have gained popularity due to their adaptability in clinical environments and non-clinical settings like patient residences or community spaces. With the help of a microcontroller mounted on the barefoot, the IMU sensor collects raw gyroscope and accelerometer data for gait analysis. These data are wirelessly transmitted via Bluetooth to a computer for subsequent in-dept. analysis, enabling effective feature extraction for comprehensive gait assessment. © 2024 IEEE.

关键词： Accelerometers

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