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Powerpoint Slide Presentation Control Based on Hand Gesture 3rd

Powerpoint Slide Presentation Control Based on Hand Gesture

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3rd International Semantic Intelligence Conference, ISIC 2023

作者： Kumar, Ankit Singh, Kamred Udham Kumar, Gaurav Singh, Teekam Choudhury, Tanupriya Kotecha, Ketan Department of Computer Engineering and Applications GLA University UP Mathura India School of Computing Graphic Era Hill University Dehradun India Department of Computer Science and Engineering Graphic Era Deemed to Be University Dehradun India Uttarakhand Dehradun248007 India Symbiosis Centre for Applied Artificial Intelligence Symbiosis Institute of Technology Symbiosis International University Pune411045 India

ISBN: (纸本)9789819773558

HCI, which stands for "human–computer interaction," has been increasingly concerned with natural interaction methods in recent years. Various ways we interact with computers have benefited from the development of real-time hand gesture recognition programs. The detection of hand motions calls for the use of a camera. The primary form of participation is the employment of a web camera as a virtual human–computer interaction device. In this body of work, we look into how vision-based HCI methods of the present day make use of hand gestures. In the event that consumers are unable to utilise any input device or touch it, this project becomes incredibly useful. Gesture recognition makes it possible to complete an activity without physically accessing the usual input devices (mouse, keyboard, etc.). The user may doodle with his index finger and use his index and middle fingers together to control the pointer's movement on the screen. The user may erase their artwork using the tips of their index, middle, and ring fingers. Using their little finger, the user may go on to the next file, and using their thumb finger and pointing to the left, they can return to the previous file. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Gesture recognition

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A Multi-Module Spatial Semantic Network with Gradient Boosting for Efficient Crop Classification

A Multi-Module Spatial Semantic Network with Gradient Boosti...

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2024 International Conference on Distributed Systems, computer Networks and Cybersecurity, ICDSCNC 2024

作者： Husain, Saif O. Meghana, A. Soujanya, Rajireddy Sunil, G. Reddy Muvva, Vijaya Bhaskar The Islamic University College of Technical Engineering Department of Computers Techniques Engineering Najaf Iraq Nitte Meenakshi Institute of Technology Department of Eee Bengaluru India Gokaraju Rangaraju Institute of Engineering and Technology Department of Cse Hyderabad India Sr University School of Computer Science & Artificial Intelligence Warangal India University of Technology and Applied Sciences -Shinas College of Computing and Information Sciences Department of Information Technology Shinas Oman

ISBN: (纸本)9798350375442

For the past few years, accurate crop classification is critical for efficient agricultural management and monitoring. While traditional classification techniques have leveraged spectral indices, they often struggle to fully capture the complex and diverse multispectral features present in agricultural landscapes. This challenge is particularly evident when differentiating crops with similar spectral signatures, leading to misclassification and reduced accuracy in traditional models. To address this problem, a hybrid approach that combines a deep learning model namely Multi-module Spatial Semantic Network (MSSNet) with the Gradient Boosting Classifier (GBC) is proposed. The dataset utilized in this research is sentinel-2, where the median filter is used to remove noise at the preprocessing stage. Then, MSSNet architecture is applied in feature extraction where pre-trained residual network (ResNet50), embedded receptive field module (RFB) and skip connection are incorporated to extract multi-spectral and spatial features. Finally, the extracted features are fed into a GBC, which is suitable for the robust performance in pixel mapping. This MSSNet+GBC combination leverages the strengths and offers improved accuracy in distinguishing between crop types and conditions. The experimental results demonstrate that MSSNet+GBC outperforms conventional methods such as 3D-Convolutional Neural Network (CNN) with higher accuracy of 98.67% using a sentinel-2 dataset for precise crop classification. © 2024 IEEE.

关键词： Median filters

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Modulo Sampling and Recovery with Unknown and Time-Varying Folding Parameter

Modulo Sampling and Recovery with Unknown and Time-Varying F...

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yhonatan Kvich Alperen Yasar Eyyup Tasci Rabia T. Yazicigil Yonina C. Eldar Faculty of Math and Computer Science Weizmann Institute of Science Israel Electrical and Computer Engineering Department Boston University Boston MA USA

ISBN: (数字)9798350368741

ISBN: (纸本)9798350368758

Sampling signals with a high dynamic range (DR) poses significant challenges in analog-to-digital conversion (ADC), where the DR of the ADC must exceed that of the input signal to prevent information loss. Modulo sampling offers a promising solution to this problem by reducing the DR of the signal prior to sampling. In this paper, we address the modulo recovery problem in scenarios where the folding parameter is unknown and potentially time-varying, motivated by practical hardware limitations that make it difficult to maintain a constant and precise folding parameter. We provide a theoretical guarantee for the unique recovery of band-limited (BL) signals from modulo samples without requiring knowledge of the folding parameter. Additionally, we develop a robust recovery algorithm specifically for scenarios with a constant but unknown folding parameter. The algorithm’s performance is evaluated through simulations under various conditions, including different oversampling rates and noise levels. The results demonstrate that our method achieves high accuracy in signal recovery, even in challenging environments.

关键词： Accuracy Uncertainty Simulation Signal processing algorithms Reliability theory Hardware Robustness Noise measurement Speech processing Noise level

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A Systematic Review to Know How Interventions Realized with Immersive Virtual Reality-Based Serious Games for Individuals with Autism are Evaluated 23

A Systematic Review to Know How Interventions Realized with ...

引用

15th Biannual Conference of the Italian SIGCHI Chapter: Crossing HCI and AI, CHItaly 2023

作者： Peretti, Sara Caruso, Federica Pino, Maria Chiara Di Mascio, Tania Center of Excellence DEWS University of l'Aquila Italy Department of Information Engineering Computer Science and Mathematics University of l'Aquila Italy Italy Department of Biotechnological and Applied Clinical Sciences University of l'Aquila Italy

ISBN: (纸本)9798400708060

Today, the growing diffusion of Information Communication Technology and the concomitant system cost reductions encouraged, even more, the exploitation of innovative solutions, especially in the field of interventions for autism. The need for efficient and effective interventions for autism is becoming more pressing for several reasons ranging from the dramatic increase in its prevalence to the high direct and indirect costs of its care over a lifetime. Among all Information Communication Technology-based interventions for autism, those realized with Immersive Virtual Reality based Serious Games appear to be the most promising. However, even if an intervention is considered promising for a clinical population does not mean that it is also efficient and effective. In fact, to be efficient and effective, an intervention must be evidence-based. Unfortunately, nowadays, there is a lack of evaluation protocols that allow for avoiding methodological biases thus providing interventions evidence-based. Consequently, clinicians are reluctant to use these interventions in clinical practice. This awareness led to the emergence of the research question of this systematic review: how interventions realized with Immersive Virtual Reality based Serious Games for individuals with autism are evaluated? The present systematic review answered this research question showing consistent methodological issues related to how these kinds of interventions are evaluated and laying the foundation for a reflection on the need to create specific evaluation protocols to overcome these issues and promoting thus the blossoming of rigorous studies on this topic. © 2023 ACM.

关键词： Serious games

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Building Machine Learning Models for Classification of Text and Non-text Elements in Natural Scene Images

Building Machine Learning Models for Classification of Text ...

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International Conference on Wireless Communications, Networking and Applications, WCNA 2021

作者： Soni, Rituraj Sharma, Deepak Department of CSE Engineering College Bikaner Rajasthan Bikaner India Department of Computer Science Engineering School of Engineering and Applied Sciences Bennett University Uttar Pradesh Greater Noida India

ISBN: (纸本)9789811924552

computer vision aims to build autonomous systems that can perform some of the human visual system’s tasks (and even surpass it in many cases)among the several applications of computer Vision, extracting the information from the natural scene images is famous and influential. The information gained from an image can vary from identification, space measurements for navigation, or augmented reality applications. These scene images contain relevant text elements as well as many non-text elements. Prior to extracting meaningful information from the text, the foremost task is to classify the text & non-text elements correctly in the given images. The present paper aims to build machine learning models for accurately organizing the text and non-text elements in the benchmark dataset ICDAR 2013. The result is obtained in terms of the confusion matrix to determine the overall accuracy of the different machine learning models. © 2022, The Author(s).

关键词： computer vision

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Conceptual Cognitive Model for Human-Machine Social Contact and Emotion based Generated Behaviors 2

Conceptual Cognitive Model for Human-Machine Social Contact ...

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2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023

作者： Muneer, Salman Kanwal, Asma Al-Kassem, Amer Hani Munir, Arslan Geeta, Sai Rustam, Iqra NCBA&E School of Computer Science Lahore Pakistan Applied Science Private University Applied Science Research Center Amman11937 Jordan Government College University Department of Computer Science Lahore Pakistan College of Business Management Sharjah United Arab Emirates BZU Department of Mechanical Engineering Multan Pakistan Institute of Management Technology Dubai Head QAIE and Accreditation United Arab Emirates

ISBN: (纸本)9798350335644

The development of a machine's motivating factor is the focus of current scientific study on human-machine social interaction. These motives provide the machine important reasons to accomplish its objectives. Intrinsic motives create feelings in a person during any human-to-human social encounter, allowing that person to control and re-generate their conduct in accordance with the ongoing social exchange. "Theory of Mind"is a psychology term that refers to a person's capacity to comprehend an adversary's perspective and alter his or her behaviour accordingly. Such motivating robots are needed in the current human-machine social interaction because they may adjust their behaviour to maximise the value of their responses by observing the ambient emotions of the other person. This impression is optimistic for the machine's embodied learning for its "Theory of Mind"-based social interaction. For a computer to create contextually based learning, the suggested study defines a conceptual cognitive model for the machine. By taking into account the emotions of the interactive human and using a recurrent tapping delay line neural network, the machine is able to control its own internal mental states. © 2023 IEEE.

关键词： Motivation

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Optimal Experimental Design to Estimate Insulin Response in Type 2 Diabetes

Optimal Experimental Design to Estimate Insulin Response in ...

引用

2023 IEEE Conference on Control Technology and Applications, CCTA 2023

作者： Engell, Sarah Ellinor Bengtsson, Henrik Benam, Karim Davari Fougner, Anders Lyngvi Jorgensen, John Bagterp Novo Nordisk A/S BagsværdDK-2880 Denmark Technical University of Denmark Department of Applied Mathematics and Computer Science LyngbyDK-2800 Kgs. Denmark Department of Engineering Cybernetics Trondheim Norway

ISBN: (纸本)9798350335446

In late-stage type 2 diabetes, automated titration algorithms provide a promising alternative to the current standard-of-care. Many published methods rely on personalized dose-response models to predict a safe and effective insulin dose. In this case study, we address the challenge of how to collect an informative data set to ensure practical identifiability of such models. We apply optimal experimental design to enhance the performance of a published titration algorithm. For a 24-hour experiment, we solve an optimization problem to select the size of three meals and the hourly fast-acting insulin infusion rate. In simulation, we demonstrate how the optimized protocol improves the safety of the algorithm's dose-predictions. The results indicate that optimal experimental design has the potential to improve model-based algorithms and may be used as a qualitative tool when planning clinical experiments. © 2023 IEEE.

关键词： Insulin

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SIMULATION AND MEASUREMENT OF LONG-TERM POLARIZATION PROCESSES ON PET FILMS IN A DC STRESSED BUSHING 23

SIMULATION AND MEASUREMENT OF LONG-TERM POLARIZATION PROCESS...

引用

23rd International Symposium on High Voltage engineering, ISH 2023

作者： Scheler, Martin Rossner, Michael Berger, Frank Prucker, Udo Department of Electrical Engineering and Computer Science Coburg University of Applied Sciences and Arts Coburg Germany Department of Electrical Apparatus and Switchgear Technische Universität Ilmenau Ilmenau Germany Trench Germany GmbH Bamberg Germany

ISBN: (纸本)9781839539954

The increasing importance of high voltage DC transmissions requires to investigate the DC behaviour of the used materials. For plastics, long-term polarization processes are observed under DC stress, which may last several weeks. This leads to the question of suitable tests or simulation scenarios to take these processes into account with sufficient accuracy. In this paper it is presented how FEM simulations can be adapted to consider long-term polarization processes. Temperature and field strength dependencies on polarization and DC conductivity is considered and discussed. The simulations can be performed for DC and any other voltage waveforms such as polarity reversals. The influence of stationary or dynamic temperature gradients can also be considered. The given material parameters of the plastic films are verified with measurements on an experimental setup. To get sufficient results, side effects like surface conductivity and parasitic capacities are considered. The results of the simulation program are compared with potential distribution measurements on an indoor 170 kV bushing with defined temperature gradient and an outdoor 660 kV bushing. It is evaluated and discussed in context of engineering aspects. © The Institution of engineering & Technology 2023.

关键词： Bushings

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Analysis of the Possibility of Using Exploration and Learning Algorithms in the Production of Castings

Analysis of the Possibility of Using Exploration and Learnin...

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75th World Foundry Congress, WFC 2024

作者： Wilk-Kolodziejczyk, Dorota Witkowski, Mateusz Jaśkowiec, Krzysztof Malysza, Marcin Bitka, Adama Marcjan, Lukasz Department of Applied Computer Science and Modelling Faculty of Metals Engineering and Industrial Computer Science AGH University of Krakow Czarnowiejska 66 Krakow30-054 Poland Lukasiewicz – Krakow Institute of Technology Zakopiańska 73 Kraków30-418 Poland

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ROOM DIMENSION AND BOUNDARY CONDITION INFERENCE USING ROOM TRANSFER FUNCTIONS 10

ROOM DIMENSION AND BOUNDARY CONDITION INFERENCE USING ROOM T...

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10th Convention of the European Acoustics Association, EAA 2023

作者： Xia, Yuanxin Engsig-Karup, Allan P. Jeong, Cheol-Ho Acoustic Technology Department of Electrical and Photonics Engineering Technical University of Denmark Kgs. Lyngby2800 Denmark Department of Applied Mathematics and Computer Science Technical University of Denmark Kgs. Lyngby2800 Denmark

ISBN: (纸本)9788888942674

The estimation of the absorption coefficients of the boundary surfaces in a room is important in room acoustic engineering. This research presents a machine learning method learns from simulated data to estimate the room dimensions and frequency-dependent absorption coefficients. We employ multi-task convolutional neural networks for inferring the frequency-dependent absorption coefficients and the dimensions of the room from transfer functions calculated by wave-based room acoustic methods. The proposed method provides reasonably accurate estimation of the boundary conditions and dimensions. © 2023 Xia et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 3.0 Unported License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

关键词： Boundary conditions

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