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TA-V2A: Textually Assisted Video-to-Audio Generation

TA-V2A: Textually Assisted Video-to-Audio Generation

引用

2025 ieee International conference on Acoustics, Speech, and Signal Processing, ICASSP 2025

作者： You, Yuhuan Wu, Xihong Qu, Tianshu State Key Laboratory of General Artificial Intelligence School of Intelligence Science and Technology Peking University Beijing China

ISBN: (纸本)9798350368741

As artificial intelligence-generated content (AIGC) continues to evolve, video-to-audio (V2A) generation has emerged as a key area with promising applications in multimedia editing, augmented reality, and automated content creation. While Transformer and Diffusion models have advanced audio generation, a significant challenge persists in extracting precise semantic information from videos, as current models often lose sequential context by relying solely on frame-based features. To address this, we present TA-V2A, a method that integrates language, audio, and video features to improve semantic representation in latent space. By incorporating large language models for enhanced video comprehension, our approach leverages text guidance to enrich semantic expression. Our diffusion model-based system utilizes automated text modulation to enhance inference quality and efficiency, providing personalized control through text-guided interfaces. This integration enhances semantic expression while ensuring temporal alignment, leading to more accurate and coherent video-to-audio generation. © 2025 ieee.

关键词： AIGC Audio Generation Contrastive Pretraining Diffusion Model Multimodality

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Intelligent Electronic Lock 'Security Guard' Based on STM32 Microcontroller 3

Intelligent Electronic Lock 'Security Guard' Based on STM32 ...

引用

2023 ieee 3rd International conference on Data Science and Computer Application, ICDSCA 2023

作者： Wen, Jialiang Zhang, Yun Sui, Yuguo Chen, Sizhu He, Yinghao Dalian University of Technology City Institute Dalian China

ISBN: (纸本)9798350341546

In the context of today's era, private and efficient identity recognition systems are widely applied, and more traditional security systems are moving towards intelligent and informational development. As a result, intelligent electronic locks have gradually entered people's lives, transforming from simple password locks to embody technological advancements, subtly changing people's habits. This design presents an intelligent electronic lock based on the STM32 microcontroller, which implements multiple unlocking methods such as password unlocking, fingerprint unlocking, RFID card unlocking, and Bluetooth unlocking. This intelligent electronic lock, controlled through touch and mobile devices like smartphones, greatly enhances the user experience in terms of control. Compared to traditional locks, it not only ensures the original security but also adds more functions that align with the present era, facilitating and enriching people's lives. It holds practical significance in real-world applications. © 2023 ieee.

关键词： Intelligent access control RFID unlocking Security and anti-theft measures STM32 microcontroller Unlock biological information Wireless unlocking

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Development of Healthcare Monitoring System with Pollution control in Industrial Sectors Using the Internet of Things 5

Development of Healthcare Monitoring System with Pollution C...

引用

5th International conference on Inventive Research in Computing applications, ICIRCA 2023

作者： Rajeswari, N Raja Arunkumar, G. Vadivu, M Senthil Gupta, Manish Sethuraman, R. Rajkumar, M. Saveetha Engineering College Department of Mechanical Engineering Tamil Nadu Chennai India Madanapalle Institute of Technology and Science Department of Computer Science and Engineering Andhra Pradesh Madanapalle India Sona College of Technology Department of Electronics and Communication Engineering Tamil Nadu Salem India Lovely Professional University Division of Research and Development Punjab Phagwara India Sathyabama Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India School of Information Technology & Engineering Vellore Institute of Technology Vit University Department of Smart Computing Tamil Nadu Vellore India

ISBN: (纸本)9798350321425

Rapid improvement in industrialization and urbanization leads to various impacts on environmental conditions. This leads to a rise in pollution that causes various constraints on human health. Earlier prediction and maintenance of pollution is the solution to obtain a greener ecosystem. This is done through machine learning techniques adopting the Internet of Things. The Internet of Things helps to obtain a smarter environment through real-time monitoring with the control system. Thus machine learning helps to analyze the amount of toxic substances that are emitted from the industries and recorded periodically. They are represented as online controlling and monitoring systems. The sensors and actuators with control devices are used to record the external environmental conditions. The prior intimation of the healthcare is monitored appropriately and intimated to solve earlier. The classification and detection of infections and diseases are done through image processing techniques. Thus the proposed system helps to obtain automatic detection of healthcare and pollution detection systems through machine learning with computational systems. © 2023 ieee.

关键词： Internet of things

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A Review of Security and Information control in Blockchain-Integrated IoT applications 3

A Review of Security and Information Control in Blockchain-I...

引用

3rd ieee International conference on Blockchain and Distributed Systems Security, ICBDS 2024

作者： Cholke, Abhijeet Mandhare, V.V. Vikhe, P.S. Matoshri College of Engineering & Research Centre Department of Computer Engineering Nashik India Pravara Rural Engineering College Department of Computer Engineering Loni Ahmednagar India Pravara Rural Engineering College Department of Instrumentation and Control Engineering Loni Ahmednagar India

ISBN: (纸本)9798350354348

The convergence of the Internet of Things (IoT) and blockchain technologies has gained substantial traction in recent years, owing to the rapid advancement of communication technologies worldwide. This research introduces a prototype model that seamlessly integrates an IoT platform with blockchain technology to ensure the integrity of data. The prototype establishes a decentralized framework for IoT devices, underpinned by a private blockchain infrastructure capable of replicating device data and validating transactions among devices through a consensus mechanism. Nevertheless, the implementation of this concept necessitates a closer examination of various considerations. One crucial aspect to address is transforming data generated by diverse IoT devices into a format compatible with the blockchain. This research takes a proactive approach to effective data management within the blockchain. Initially, we collect data from IoT devices and systematically store it in a blockchain-compatible manner. The custom blockchain and smart contract components define the data access policies for end-users. Within this model, we categorize IoT appliances responsible for different services into distinct sets of chains. These sets of chains collaboratively exchange data while adhering to a comprehensive access control *** research endeavors to harmonize IoT and blockchain technologies through a prototype that safeguards data integrity. It tackles the challenge of data conversion from various IoT devices into a blockchain-compatible format and outlines a sophisticated data management strategy. By delineating access policies and segmenting IoT appliances into specialized sets of chains, this model aims to facilitate secure and efficient data sharing among decentralized IoT devices. © 2024 ieee.

关键词： Data integrity

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Automatic control of Wall-following Mobile Robots Based on Machine Learning

Automatic Control of Wall-following Mobile Robots Based on M...

引用

2024 conference of Young Researchers in Electrical and Electronic Engineering, ElCon 2024

作者： Hammoud, Moahmmed Lupin, Sergey National Research University of Electronic Technology Institute of Microdevices and Control Systems Moscow Russia

ISBN: (纸本)9798350360646

Mobile robots have become increasingly popular in various industries and applications due to their versatility and ability to perform tasks safely, effectively, and independently. They can operate in hazardous or inaccessible areas, thus reducing the risk of injury to human workers. Mobile robots can also work continuously without breaks, thus increasing productivity and reducing labor costs. Wall-following mobile robots (WMRs) use sensors and algorithms to detect and avoid obstacles while maintaining a constant distance from them. They are instrumental in environments with narrow passages or limited visibility, such as underground tunnels or mines. This study used a benchmark dataset collected by the SCITOS G5 robot to evaluate various Machine Learning (ML) algorithms. This research guides on selecting an ML algorithm to achieve a balance between accuracy and memory consumption. The experiments showed that eXtreme Gradient Boosting (XGB) performed the best with a macro F1-score of 0.9934 on 24 sensor readings. © 2024 ieee.

关键词： machine learning Mobile robot Multi-category classification SCITOS G5 wall-following robot

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Simulation and Intelligent Fault Diagnosis of Bidirectional LLC Resonant Converter 4

Simulation and Intelligent Fault Diagnosis of Bidirectional ...

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4th International conference on Advances in Electrical Engineering and Computer applications, AEECA 2023

作者： Jiang, Shuo Zhang, Xiaorui Wang, Lei Luo, Dongyang Bi, Ran Li, Chuwei Institute of Telecommunication and Navigation Satellites China Academy of Space Technology Beijing China

ISBN: (纸本)9798350308082

This paper proposes a frequency conversion control method with synchronous rectification and synchronous equal width by studying the topology and theory of bidirectional LLC resonant converters. It improves the efficiency of the converter, expands the adaptability range of the converter, and conducts simulation verification through PSIM. At the same time, this paper achieved structural and parametric fault simulation injection of the circuit through simulation methods, obtained rich fault sample data, and completed structural fault diagnosis of circuit MOSFET based on random forest, as well as circuit capacitance parametric fault diagnosis and capacity prediction based on LSTM random forest. © 2023 ieee.

关键词： Failure analysis

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A Multi-Input Single-Output DC-DC Converter with Fuzzy Supervisor controller for Hybrid Renewable Energy applications 2

A Multi-Input Single-Output DC-DC Converter with Fuzzy Super...

引用

2nd ieee International Power Electronics and Application Symposium, PEAS 2023

作者： Chen, Lu Wu, Haimeng Liu, Yuchao Yu, Jie School of Electrical Engineering Southeast University Nanjing China Northumbria University Mathematics Physics and Electrical Engineering Newcastle upon Tyne United Kingdom

ISBN: (纸本)9798350313765

Due to the fluctuating nature of renewable energy sources, voltage stability and power management become the main concerns of a hybrid power generation system. Therefore, improving power technology and control methods are necessary for improving power efficiency. In this study, an integrated Cuk-Sepic multi-input single-output (MISO) converter is applied to integrate multiple power sources for hybrid renewable energy applications. This converter can be used separately or in tandem depending on the availability of backup sources in the case where one of the sources fails, which makes the system more reliable. Additionally, a Fuzzy Supervisor controller (FSC) is presented to effectively control the flow of power while keeping the output voltage stable. By applying the proposed control schemes and an energy storage unit, the developed structure allows the renewable energy sources to work in maximum power point tracking (MPPT) operation mode. The performance of the proposed integrated control strategy under dynamic outdoor conditions is evaluated and compared with the traditional method, which shows improved power-sharing and power flow control capability in a hybrid power system. © 2023 ieee.

关键词： Fuzzy Supervisor controller maximum power point tracking power management renewable energy

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Design of Lightweight and Miniaturized Motor control System Based on Anti-Integral Saturation

Design of Lightweight and Miniaturized Motor Control System ...

引用

2022 ieee International conference on Advances in Electrical Engineering and Computer applications, AEECA 2022

作者： Pu, Xiaoqin Xu, Meng Institute of Machinery Manufacturing Technology China Academy of Engineeringhysics Mianyang China

ISBN: (数字)9781665480901

ISBN: (纸本)9781665480901

Lightweight and miniaturized hollow motors have the advantages of high power density, light weight and small volume, and are important functional components for today's aerospace and specific businesses. In order to solve the problem of a given large step, the traditional controller is unable to achieve the rapid response of the system while satisfying the small overshoot or even no overshoot of the system due to integral saturation. A three-loop control strategy is proposed to optimize the traditional control technology, combined with the system Technical index requirements, design a new type of anti-integral saturation PI controller, and use Simulink to build a controller model for simulation analysis. The simulation analysis results show that the control system meets the load rotation 180° with a transition time of not more than 0. 2s, and the positioning accuracy of less or equal to The index requirement of 10', the whole motor control system has good rapidity and accurate positioning function. © 2022 ieee.

关键词： control systems

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Health Monitoring System By Using IoT 4

Health Monitoring System By Using IoT

引用

4th International conference on Power, Energy, control and Transmission Systems, ICPECTS 2024

作者： Prakash, G. Ponkishore, K. Chermathdurai, S. Harish, S. Sri Sairam Institute of Technology Department of Electrical and Electronics Engineering Chennai India

ISBN: (纸本)9798331508845

This study provides a thorough description of a unique Internet of Things-based health monitoring system designed to continuously collect, analyze, and interpret vital health data in real-time. Leveraging a network of interconnected sensors, wearable devices, and mobile applications, the proposed system offers seamless monitoring of key. physiological variables, including blood pressure, temperature, heart rate, and degree of activity Through intelligent data processing algorithms and cloud-based analytics, healthcare professionals gain timely insights into patients' health status, enabling proactive interventions and personalized healthcare recommendations. Furthermore, the system gives users the ability to actively manage their health by giving them access to customized health dashboards and facilitating remote consultations with healthcare providers. By fostering continuous monitoring, early detection of health anomalies, and proactive intervention, This Internet of Things-enabled health monitoring system has the power to transform the way that healthcare is provided while also lowering costs and enhancing patient outcomes. © 2024 ieee.

关键词： Blood pressure

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Optimizing Greenhouse Operations Through IoT-Integrated Environmental control Systems: A New Era of Computer-Based Farming 2

Optimizing Greenhouse Operations Through IoT-Integrated Envi...

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2nd ieee International conference on Communication, Security and Artificial Intelligence, ICCSAI 2023

作者： Kumar K, Rajesh Palani, Hari Kumar Sundravadivelu, K. Senthilvel, P. Gururama Thirupurasundari, D.R. Madha Engineering College Kundrathur Department of Electronics and Communication Engineering TamilNadu Chennai India School of Engineering Ajeenkya D y Patil University India Madurai Kamaraj University Department of Computer Science School of Information Technology Tamil Nadu Madurai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering India Bharath Institute of Higher Education and Research Department of Computer Science and Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350369960

technology is widely adopted across today's agricultural landscape to improve output, efficiency, and longevity. The Internet of Things (IoT) deployment inside greenhouse settings is one of the promising areas of technology integration. To maximize efficiency, this research investigates how the Internet of Things (IoT)-integrated Environmental control Systems (ECS) might be used in greenhouses. Optimal growing conditions were maintained by constantly monitoring and adjusting factors like temperature, humidity, light intensity, and carbon dioxide levels using various Internet of Things (IoT) sensors and devices. Using a cloud-based data analytics platform, we analyzed massive data streams, discovered useful insights, and used those to inform our operational strategy development efforts. The study uncovered significant gains in agricultural productivity, less resource waste, and improved fore castability of crop development. In addition, the IoT-ECS's adaptability allowed for automated responses to unexpected environmental changes, protecting crops from destruction. This study demonstrates the promise of Internet of Things integration in greenhouses as a game-changing strategy for contemporary agriculture, ushering in a new era of precision farming that is good for the bottom line and the environment. © 2023 ieee.

关键词： Environmental control systems Greenhouse operations Internet of Things Precision Farming Sensors

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