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Gesture and Voice-Based Automation System for Home Surveillance 1

Gesture and Voice-Based Automation System for Home Surveilla...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Santhosh, B. Oli, Sanjay Jayanth, C. Suresh Kumar, M. Raj, Preetham N Kandpal, Ankit Dayananda Sagar College of Engineering Department of Electronics and Telecommunication Engineering Bangalore560078 India Dayananda Sagar College of Engineering Department of Mathematics Bangalore560078 India Dayananda Sagar College of Engineering Department of Information Science and Engineering Bangalore560078 India Bipin Tripathi Kumaon Institute of Technology Dwarahat Department of ECE Almora India

ISBN: (纸本)9798331518578

Gesture and voice-based automation innovations are being examined because of the developing interest for reliable and smart home security frameworks. In this study, a MATLAB-based home reconnaissance automation framework in light of voice and motion is created and reproduced. To perceive, interpret, and answer user developments and vocal orders, the proposed framework utilizes modern sign handling and AI calculations. Although nonverbal communication through gestures has been around for a while, gesture-based human-computer interaction (HCI) is growing in popularity in the present day. The conventional interface uses a number of tools, including markers, physical controllers, and gloves, to increase the recognition rate. This work offers a novel marker less method for capturing gestures without the use of expensive gear or any obstacles. In order to enable disabled individuals to operate household appliances using their own speech and gesture commands, we present in this paper a speech and Gesture Driven automation system for homes with a central controller. The framework joins programmed reactions with continuous observation highlights to further develop security, openness, and user solace. Framework reenactment, including control rationale, voice order handling, and motion identification, is finished with MATLAB. The accuracy, reactivity, and common sense of the innovation are shown by the recreation results. © 2025 IEEE.

关键词： MATLAB

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Different MPPT Algorithms for DC-DC Converter

Different MPPT Algorithms for DC-DC Converter

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2025 IEEE international Students' conference on Electrical, Electronics and computer Science, SCEECS 2025

作者： Kumar, Boddepalli Hemanth Ghosh, Arnab National Institute of Technology Dept. of Electrical Engineering Rourkela India

ISBN: (纸本)9798331529833

The efficient and appropriate power flow technologies are necessary for better performance of renewable energy system applications. The comparative study of different MPPT algorithms, which are best for RES applications due to their influence on efficiency, low response time and the stability under different intervals of irradiance and temperature. When comes to this context, the key focus is evaluation of algorithms to the converter which is bidirectional by considering the desired operational conditions. The observations of this study are a forward step to optimization of systems with bidirectional converters in improving the reliability and sustainability. © 2025 IEEE.

关键词： Artificial Neural Network (ANN) Bidirectional DC-DC Converter Fuzzy Logic Control (FLC) Maximum Power Point Tracking (MPPT) Perturb and Observe (P&O) Photovoltaic (PV) Pulse Width Modulation (PWM) Renewable Energy Systems (RES)

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Smart ANPR: A Checkpoint-Based Toll and Parking Management System Using Hybrid OCR and Blockchain 3

Smart ANPR: A Checkpoint-Based Toll and Parking Management S...

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3rd international conference on Intelligent and Innovative technologies in Computing, Electrical and Electronics, IITCEE 2025

作者： Samarth, M.N. Gopisetti, Sampriti Chaitra, M. Bnm Institute of Technology Affiliated to Vtu Dept. of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798331515911

Automated Number Plate Recognition is one of the most important applications of computer vision, employed in the enforcement of traffic law, vehicular management, security, and even at toll collection. This paper proposed an advanced system for ANPR that can move away from the traditional booth and establish a checkpoint. The strategically located cameras with checkpointing will automatically capture the plates of passing vehicles, permitting road tax and parking fees to be deducted without making contact. A hybrid approach that combines the capabilities of OpenCV, Tesseract OCR, and deep-learningbased OCR models helps tackle such challenges as stable images from live video feeds and highly accurate text recognition. To this end, since the system integrates high-resolution frame stabilization using OpenCV to ensure crystal clear captures, it further employs the use of YOLOv8 to boost the precision of real-time detection. The blockchain technology is further implemented to ensure that transactions are tamper proof, therefore ensuring secure and transparent billing systems. This makes the ANPR solution deployable on edge devices, which opens real-time processing capabilities for high-speed and high-volume environments, thereby offering a scalable and efficient approach for intelligent transportation and smart city applications. © 2025 IEEE.

关键词： Blockchain

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SVM Multi-class Classification Method for Device Identification Using Eye Diagram Parameters 9th

SVM Multi-class Classification Method for Device Identificat...

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9th international conference on Intelligent IoT as a Service

作者： Yuan, Jian Hu, Aiqun Southeast Univ Sch Cyber Sci & Engn Nanjing Peoples R China Res Ctr Hengtong Informat Secur Suzhou Peoples R China

ISBN: (纸本)9783031705069;9783031705076

In this paper, we investigate the problem of identification of RS-485 devices. The proposed method utilizes their physical layer features in terms of time-domain overlapping traces. The first step is the acquisition of the physical layer waveform with an oscilloscope. The waveform is then preprocessed, a pulse shaping filter is applied, and the eye diagram is generated. These eye diagram parameters are estimated and stored as datasets. Then, the datasets are divided into two conventional categories. The first one is defined as the training set for deriving key parameters, the second one is used as the test set to verify the proposed algorithm. The eye diagram parameters of the test set are used for training, and the parameters of multi-class the supporting vector machine (SVM) are obtained. The data from the testing set is used to classify the devices. The results of the classification are used for device identification. Our experimental results show that classification accuracies of RS-485 devices can be higher than 88%, which indicate that our proposed method is practical and thus has a potential to be used in a number of applications including industrial Internet of Things (IoT) device identifications.

关键词： device identification eye diagram supporting vector machine physical layer security

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On the Challenge of Generating Multivariate Time Series Data from Distributed Sensors in IoT-enabled Scenarios 24

On the Challenge of Generating Multivariate Time Series Data...

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14th international conference on the Internet of Things, IoT 2024

作者： Bañuelos, Julián Jerónimo Costa-Requena, Jose He, Jiayuan Salim, Flora D. Sigg, Stephan Department of Information and Communications Engineering School of Electrical Engineering Aalto University Espoo Uusimaa Finland School of Computing Technologies RMIT University MelbourneVIC Australia Cumucore Oy Espoo Uusima Finland School of Computer Science and Engineering University of New South Wales Sydney Australia

ISBN: (纸本)9798400712852

Smart sensing environments supported by an Internet of Things (IoT) infrastructure are enabling a wide array of possibilities for data-intensive remote monitoring applications. Although nowadays it is possible to access and deploy complex setups of sophisticated sensors, the telecommunications infrastructures are struggling to deal with the massive amounts of generated data for transmission, processing, and storage from the diverse range of IoT devices. As data corruption and the loss of data are realistic scenarios in current IoT deployments, it is relevant to find an alternative solution that circumvents the limitations of the physical infrastructure for dealing with potential missing data in remote sensing environments. In this paper, we analyze the feasibility of reproducing missing sensor data due to a communication failure from correlated sources in the same experimental context. We rely on generative adversarial models for the prediction of acceleration data and evaluate the usefulness of the synthetic data with a standard human activity recognition (HAR) classifier. © 2024 Copyright held by the owner/author(s).

关键词： Time series

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A Review on the Use of Smart Agriculture Systems to Protect Crops 3

A Review on the Use of Smart Agriculture Systems to Protect ...

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3rd international conference on Electronics and Renewable Systems, ICEARS 2025

作者： Kumar, Gulshan Gourshettiwar, Palash Suman, Saurabh Kumar, Shravan Kumar, Dhiraj Raushan, Rahul Faculty of Engineering and Technology Department of Computer Science and Design Maharashtra Wardha India Faculty of Engineering and Technology Department of Computer Science and Medical Engineering Maharashtra Wardha India

ISBN: (纸本)9798331509675

Smart agriculture systems leverage the possibilities offered by cutting-edge technologies such as IoT, AI, and remote sensing to revolutionize conventional farming by enhancing resource utilization, production, and crop damage mitigation. Real-time monitoring of soil and crop health, predictive analytics, pest control, and precision irrigation measures are all enabled by these systems. They are able to address major Indian agriculture issues, consequently boosting yield and profitability and promoting environmental sustainability. The largescale deployment of intelligent agriculture systems will change the agriculture landscape in India and will assure long-term food security for an ever-growing population. Challenges include adequate research and future studies in order to better install and achieve smart agricultural systems to protect crops. Intelligent agriculture involves all advanced research, including science and innovations, in national development through space technologies to enhance soil quality, conserve water, and facilitate agriculture information. Space ventures will undergo improved modernization through the introduction of crop sprayers, precision gene editors, epigenetics, big data analytics, IoT, wind and photovoltaic smart energy, AI-enabled robotic applications, and wide-scale desalination technologies. Implementing digital farming systems in developing economies will help their sectors as 85 percent of the global population is set to live in developing countries by 2030. Automation will prove to be necessary since food scarcity is on the rise along with resource wastage. Control strategies such as the IoT, aerial imagery, machine learning, and artificial intelligence will boost production and prevent soil degradation. These advanced technologies are also able to alleviate such issues as plant disease detection, pesticide management, and water application. The introduction of the Internet of Things in the agricultural research world has started

关键词： Smart agriculture

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Evaluating the Impact on Usability and Acceptance of ECAs in m-Health applications for Older Adults 11

Evaluating the Impact on Usability and Acceptance of ECAs in...

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11th international conference on Information and Communication technologies for Ageing Well and e-Health, ICT4AWE 2025

作者： Gilaberte, Raquel Lacuesta Bagdasari, Eva Cerezo Navarro-Alamán, Javier EUPT Universidad de Zaragoza Spain EINA Universidad de Zaragoza Spain Department of Computer Science and Engineering of Systems EUPT Universidad de Zaragoza Spain

ISBN: (纸本)9789897587436

In the context of m-health applications, developing user-friendly interfaces to improve usability and acceptance by older adults has become a prominent research topic. The use of embodied conversational agents (ECAs) seems promising as they allow interacting through natural verbal and nonverbal communication. However, analyses about the design and acceptance of embodied conversational agents embedded in m-health applications for older adults are needed. In this paper, we present a study carried out to analyse the usability and acceptance of ECAs interfaces in m-health applications, compared to traditional tactile text interfaces. The study carried out has involved 23 users over 65 years old with promising results. The ECA interface was positively assessed and its acceptance increased compared to the traditional one, but although the feelings arisen are positive, users still claim for less complexity and a more careful design. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Avatars ECAs m-Health Older Adults

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Enhancing Two-Area Interconnected Power Systems Using Model Predictive and PID Control Approaches 1

Enhancing Two-Area Interconnected Power Systems Using Model ...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Kushwaha, Ritesh Kumar Prakashyadava, Ram Malik, Monu Alam, Monauwer Ahamad, Isarar Naugai, Divyanshu Chandigarh University Dept. of Electronic and Communication Engineering Punjab Mohali India Integral University Deptt. of Electrical Engineering U.P. Lucknow India Maharaja SurajMal institute of Technology Electronics and Electrical Engg Deptt India Integral University Deptt. of Electrical Engineering Lucknow India BTKIT Dwarahat Dept. of Electronics and Communication Engineering Uttarakhad Almora India

ISBN: (纸本)9798331518578

This research represents a comparative study of Load Frequency Control (LFC) using Model Predictive Control (MPC). The results have also been compared with Proportional-Integral-Derivative (PID) controllers. LFC is evident for power system stability which keeps equilibrium between generation and load. PID controllers are widely employed, however in the modern-day power systems which are complex in nature the performance of the PID controllers is not as par. Therefore, different control schemes have and are being explored. MPC is one of them techniques. The aim of this research is to evaluate and compare the effectiveness of MPC and PID controllers, in two-area system. A case study featuring a two-area system is presented to illustrate how the controllers respond to load conditions and disturbances. This paper aims to provide insights into the merits and limitations of each controller. The results contribute to a more profound comprehension of the practical implications associated with implementing MPC in LFC systems, thereby influencing future research and practical applications. © 2025 IEEE.

关键词： Predictive control systems

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Investigating the Sixth Generation Mobile Networks: Present Situations, Challenges and Possible Solutions 1

Investigating the Sixth Generation Mobile Networks: Present ...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Pushparajesh, V. Gautam, Anupam Kumar Faculty of Engineering and Technology Department of Electrical and Electronics Engineering Karnataka Ramnagar District India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India

ISBN: (纸本)9798331518578

A number of industries are benefiting from the introduction of 5G technology, including eHealth, automation, robots, and smart infrastructure. The fast expansion of 5G has presented substantial problems in terms of network complexity and maintenance, despite the fact that it delivers high-speed connection and supports a wide variety of developing technologies. Consequently, studies are already under way to establish the specifications for 6G, the next generation of mobile networks. Examining the technological hurdles that prevent 5G from reaching its full potential, this essay investigates the ever-changing 5G environment. Furthermore, it delves into the 6G architecture framework and explores how spectrum management can back the capabilities needed by future networks. Improving network speed, achieving ultra-low latency, and connecting millions of devices are all important goals that must be met in order to serve applications of the future. Although there will be new communication possibilities brought about by the upgrade from 5G to 6G, there will also be significant challenges in areas such as network architecture, infrastructure scalability, and optimal spectrum usage. This article provides a high-level summary of these important problems, explains how people are working to solve them, and lays the groundwork for a strong and long-lasting 6G network. © 2025 IEEE.

关键词： 6G Mobile Network Challenges Network Speed Smart Infrastructure Spectrum Usage

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Quantum Computing applications in Financial Modeling and Portfolio Optimization 1

Quantum Computing Applications in Financial Modeling and Por...

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1st international conference on Advances in computer Science, Electrical, Electronics, and Communication technologies, CE2CT 2025

作者： Mohd, Sharif Dasgupta, Madhumita Akter, Fatema Arunachalam, Mahesh Prabu Sharma, Sakshi Prasanna, Ch.kumari Laxmi NDIM New Delhi Department of Finance Delhi India Amity Business School Amity University Kolkata India Islamia University College Department of Finance & Banking Chattagram Bangladesh Department of IT AustinTX United States University School of Management Kurukshetra University University Institute of Engineering and Technology Kurukshetra and Guest Faculty Kurukshetra India PG College Andhra Pradesh Bhimavaram India

ISBN: (纸本)9798331518578

In this decade the classical computers can surpass the computational power anticipated using quantum computers, bringing transformative advancements across multiple industries, with finance expected to be the first to reap the benefits. Notably, the quantum computer poised in the financial sector leveraging medium and long terms usually but sometimes in short term. The present study involves the quantum computing applications in financial modelling and portfolio optimization using classical convex optimization algorithmthat focus on the current advancement of quantum computationsin financial modelling. The key areas focused by quantum computing includes machine learning optimization and stochastic modelling. It explodes the quantum computing techniques adopted with solutions that can enhance the problem-solving skills in finance sector like fraud detection, natural language processing, portfolio optimization, risk modelling, derivative pricing that improves both efficiency and accuracy. Additionally, we examine the practicality of implementing these algorithms on near-term quantum computers across different hardware architectures and highlight their relevance to a diverse range of financial use cases. © 2025 IEEE.

关键词： Quantum computers

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