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检索条件"任意字段=International Conference on Computing Communication Control and Automation"

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Smart Home automation with Smart Security System over the Cloud 14

Smart Home Automation with Smart Security System over the Cl...

引用

14th international conference on computing communication and Networking Technologies, ICCCNT 2023

作者： Verma, Gaurav Pachauri, Sachin Kumar, Ashish Patel, Deepak Kumar, Aman Pandey, Aman Rajkiya Engineering College Department of Electrical Engineering Mainpuri India

ISBN: (纸本)9798350335095

This article outlines a comprehensive smart home automation system that utilizes ESP32 and ESP32-CAM modules, along with IoT cloud integration, to provide a seamless and secure automation experience. The system integrates various sensors, actuators, and cameras to enable remote control, monitoring, and intelligent security features for a smart home environment. The proposed system focuses on enhancing convenience, energy efficiency, and safety for homeowners. The majority of appliances and items have become automated as a result of the rapid advancement of technology in recent years. The rise of automated systems is a result of people's preference for them over manual ones in today's society. IoT is a developing technology that enables people to quickly connect to the cloud, manage hardware by the internet, and operate equipment from a distance IoT technology is extensively employed in the construction of smart cities, smart houses, smart roads and agricultural sector. Recently, individuals have entirely changed, surrounded by technology and the internet, and they feel compelled to access the majority of things remotely by their smart phones or the internet since they are more economical and energy-efficient. Modern home are replacing traditional switches with remote control systems that may be used with smartphones. Home automation will be able to provide better security;comfort and it could be extremely helpful for elderly or handicapped people to easily operate the home appliances. This module is very simple to install and easy to use, and it regulates the household appliances. This paper is entirely based on low-cost and dependable Internet of Things-based home control monitoring system. © 2023 IEEE.

关键词： Domestic appliances

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Application of Permanent Magnet Synchronous Motors in Electric Drive Systems

Application of Permanent Magnet Synchronous Motors in Electr...

引用

2024 international conference on Optimization computing and Wireless communication, ICOCWC 2024

作者： Mehta, Deepak Kumar, Ritesh Shah, Pradeep Kumar Department of Computer Science and Information Technology Bangalore India Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Teerthanker Mahaveer University Department of Computing Sciences and Information Technology Uttar Pradesh Moradabad India

ISBN: (纸本)9798350383348

Everlasting Magnet Synchronous vehicles (PMSMs) are becoming increasingly famous in electric-powered power structures due to their great efficiency and overall performance traits. PMSMs are synchronous motors that use everlasting magnets to supply torque. They provide easy and coffee-cost control answers and can be used for a spread of programs along with electric-powered motors, domestic appliances, and commercial automation. PMSMs are, in particular, appealing to electric pressure system programs due to their better electricity density, higher efficiency, better velocity variety, and less complicated manipulation than different synchronous vehicles. The precept in the back of the PMSM is that the rotor, which contains everlasting magnets, interacts with the rotating magnetic area created via the stator windings. The stator windings are energized via an outside strength digital supply, and the ensuing alternating cutting-edge creates a magnetic area, which in flip produces torque on the rotor. This torque causes the rotor to rotate and produce mechanical power. The torque of the PMSM can be managed through various amplitudes and segments of the stator modern-day. This adaptability makes PMSMs perfect for use in variable-speed power applications consisting of electric automobiles. © 2024 IEEE.

关键词： Everlasting Magnetic Synchronous Windings

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Achieving time-critical control in Edge Robotics Systems over 5G 17

Achieving time-critical control in Edge Robotics Systems ove...

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17th international conference on communication Systems and NETworkS, COMSNETS 2025

作者： Baxi, Amit Mageshkumar, Vincent Murthy, Girish S. Merwaday, Arvind Raju, Arvind Hosamane, Gowtham Prabhu, Sugnan Natarajan, Venkat Sudhakaran, Susruth Cavalcanti, Dave Hatalkar, Atul N. Maciocco, Christian Iyer, Ravishankar Vannithamby, Rath Intel Technology India Private Limited Bangalore India Intel Corporation HillsboroOR United States

ISBN: (纸本)9798331531195

In this paper, we present the challenges and solutions to achieve time-critical robot control in an Edge computing System, when the sensing-computing-control functions are distributed and connected over a 5G network. We describe these challenges/solutions in context of a real 5G Edge Robotics System testbed, where the task for a robot arm is to pick up moving objects from a conveyer belt but with vision perception and other AI computing workloads running remotely on an Edge computing Server, connected over 5G. We present a learning-based compute-communications-control Co-design approach which enables (a) robust robotic control over an unreliable wireless network and (b) dynamic QoS adaptation to reduce network traffic. In addition, we also highlight simulation-to-real challenges and strategies in deploying reinforcement learning policies trained in simulation to control a real robot arm. Finally, we present overall architecture, experimental results, and experiences in enabling a real-world 5G Edge Robotic system. © 2025 IEEE.

关键词： 5G mobile communication systems

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Optimizing Vanet communications: A Bibliometric Analysis of Energy-Efficient Strategies with Deep Learning

Optimizing Vanet Communications: A Bibliometric Analysis of ...

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2024 international conference on System, Computation, automation and Networking, ICSCAN 2024

作者： Suganya, R. Prakash, B. Srm Institute of Science and Technology Department of Computer Science and Engineering Tamilnadu Kattankulathur India Srm Institute of Science and Technology Department of Computing Technologies Tamilnadu Kattankulathur India

ISBN: (数字)9798331510022

ISBN: (纸本)9798331510022

Vehicular Ad Hoc Networks (VANETs) are important for intelligent transportation systems, permitting vehicles to communicate with one another and nearby infrastructure in order to enhance road safety, traffic management and infotainment services. But the VANET communication is a high energy consumption technology, which may become a big challenge of large-scale power efficiency being in some real scenarios where huge number vehicles are needed to implement such V2I or V2V services sustaining. This paper conducts a analysis of different transmission stratagems for energy-efficient communication strategies among vehicles in VANETs, along with the focus to incorporate deep learning accelerators into an optimized architecture framework for enhancing communication processes. The paper presents an overview of VANET architecture and communication protocols, and then reviews the techniques to save energy in a VANET including efficient mechanisms for Transmission Power control (TPC), some energy-aware routing protocols, as well as data aggregation realizations. Next, the paper introduces deep learning models that can adaptively optimize VANET transmission by forecasting network states and updating strategies on-the-fly. This analysis emphasizes hybrid solutions where deep learning is combined with traditional communication strategies to improve the energy efficiency apparent on a system level. Finally addresses the current challenges in the field and the need for advanced AI-driven techniques. This bibliometric analysis provides a comprehensive overview of energy-efficient communication strategies in VANETs, offering insights into how deep learning can contribute to the development of more sustainable vehicular networks. © 2024 IEEE.

关键词： Vehicular ad hoc networks

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Robust Object Recognition in Open Environments Based on Causal Inference 7

Robust Object Recognition in Open Environments Based on Caus...

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7th international conference on Robotics, control and automation Engineering, RCAE 2024

作者： Liu, Ruonan Wu, Shuai Kong, Ping Xie, Wei Zhang, Weidong Shanghai Jiao Tong University Department of Automation Shanghai China Tianjin University College of Intelligence and Computing Tianjin China Hainan University School of Information and Communication Engineering Hainan China Shanghai Jiaotong University Department of Automation Shanghai China

ISBN: (纸本)9798350355642

The rapid development of artificial intelligence technology has drawn widespread attention to the problem of target recognition in open environments. Traditional target recognition methods are easily affected by environmental changes and interference noise, leading to insufficient recognition accuracy and robustness. This paper proposes a robust target recognition method based on causal inference, aiming to improve the robust performance of image recognition models in open environments. The method first extracts features from images, analyzes the impact of noise features such as the environment in image features, and derives the essential feature properties of the target. Then, the causal relationship is introduced into the target recognition, and by analyzing the relationship between the environment, the target, and the observation data, the features of the target are combined with the observation data to achieve accurate and stable recognition of the target. The proposed method has achieved good target recognition effects on multiple open datasets, and the experimental results show that the algorithm can effectively solve the problem of poor robustness of the target recognition model in open environments, providing strong support for practical applications. Through the application of this method, the stability and robustness of the target recognition model can be significantly improved, which has important practical application value. © 2024 IEEE.

关键词： Causal Inference Object Recognition Open Set Recognition Robustness

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Research on compensation control algorithm for electro-hydraulic servo system of collaborative robot handarm

Research on compensation control algorithm for electro-hydra...

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2024 international conference on Algorithms, High Performance computing, and Artificial Intelligence, AHPCAI 2024

作者： Wang, Jitong Jiangsu Automation Research Institute Lianyungang China

ISBN: (纸本)9781510685840

Collaborative robots in the petrochemical industry often use electro-hydraulic servo control due to explosion-proof requirements. This paper establishes a mathematical model of the electro-hydraulic servo system for explosion-proof collaborative robots and studies the system control strategy. In response to the problems of slow response speed and resonance peaks in conventional PID control, a three state feedforward compensation and structural filtering design were adopted to eliminate the influence of system resonance peaks and improve the performance of system position tracking and speed tracking. © 2024 SPIE.

关键词： Collaborative robots

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Future Horizons in E-Commerce: Robotics, Virtual Reality, and Green automation Systems 15

Future Horizons in E-Commerce: Robotics, Virtual Reality, an...

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15th international conference on computing communication and Networking Technologies, ICCCNT 2024

作者： Sharma, Isha Pant, Deepak Kumar Samanta, Prasenjeet Pant, Mayank Sharma, Kajal Ahmad, Vasim Sri Guru Ram Rai University School of Management and Commerce Studies Dehradun India Uttaranchal university Uttaranchal school of computing science Dehradun India Uttaranchal Institute of Management Uttaranchal University Dehradun India Som Graphic Era Hill University Dehradun Uttaranchal University Dehradun India Teerthanker Mahaveer Institute of Management and Technology Teerthanker Mahaveer University Moradabad India

ISBN: (纸本)9798350370249

Every year, the technology improvements and changing customer expectations are changing the face of e-commerce from one year to another. The following essay discusses three major new technologies: robots, virtual reality (VR), and green automation systems that are likely to change the industry. In the field of e-commerce, robotics has found an increasing application in order to facilitate the effective and efficient management of products and fulfillment of orders with ease, minimal time, and zero mistakes. On the other hand, Virtual Reality is set to change the way people shop, to make it possible for users to interact in 3D with products and, in short, to make purchasing even more immersive and fun. Last will be the green automation systems that find their way into the e-commerce ecosystem. They help make processes more sustainable by reducing waste and making the best use of energy. This paper will examine how such technologies are used, how they can affect e-commerce, and the problems that need to be corrected first before the full help of such technologies can be realized. This paper looks at every nook and cranny in trying to investigate the future of e-commerce and how critically important the sector is for new ideas that are increasingly customer-oriented and ecologically sustainable. © 2024 IEEE.

关键词： E-Commerce Innovation Environmental Impact Green automation Robotics Sustainable Operations Virtual Reality

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Intelligenie-A Voice based Desktop Assistant 15

Intelligenie-A Voice based Desktop Assistant

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15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Pavithra, G. Tinge, Aanchal Saumya, Ananya Nair, Vinayak N. Biradar, Yallaling Manjunath, T.C. Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Karnataka Bangalore India

ISBN: (纸本)9798331300579

In the era of digital transformation, personal assistant technologies have evolved to become integral parts of daily life. This project aims to develop a voice-based personal desktop assistant, leveraging machine learning and natural language processing (NLP) techniques. This abstract explores the key features and functionalities of these assistants, including speech recognition for accurate voice-to-text conversion, natural language understanding (NLU) for interpreting user commands, task automation for executing various tasks, information retrieval for providing real-time updates and personalized recommendations, and multi-platform integration for ubiquitous accessibility across devices. The assistant will be designed to perform a variety of tasks, including the voice Command Recognition in the implementing of a robust speech recognition system to accurately understand and interpret user commands. Task automation for the Integration with various applications and services to automate tasks such as scheduling meetings, setting reminders, sending emails, and managing to-do lists. Information Retrieval: Utilizing web scraping and API integration to retrieve real-time information such as weather updates, news headlines, and stock market data based on user queries. Personalization: Incorporating machine learning algorithms to learn user preferences and tailor responses and recommendations accordingly. Security and Privacy: Implementing encryption and secure authentication mechanisms to protect user data and ensure privacy. The project aims to provide a seamless and intuitive user experience, enhancing productivity and convenience in daily tasks through the power of voice interaction with the desktop assistant. © Grenze Scientific Society, 2024.

关键词： Financial markets

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Robotic Vacuum Cleaner using Arduino Microcontroller based System 15

Robotic Vacuum Cleaner using Arduino Microcontroller based S...

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15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Sanjana, B.S. Sinchana, G. Udupa, Skanda Jadhav, Nakul Dev Nirmala, Y.N. Pavithra, G. Manjunath, T.C. Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Bangalore India

ISBN: (纸本)9798331300579

In the current hectic schedule, cleaning houses and surrounding environment is more *** present, there are vacuum cleaners which require humans to handle *** work is taken over the robot technology and many of the related robot appliances are being used extensively *** represents the technology that proposed the working of robot for Floor ***, there is a dire need to implement vacuum cleaner which works without human *** efficient method to clean the desired area has been implemented through this *** a present-day situation, people are so occupied with their work that they often lack the capacity to properly clean their *** solution to this problem is a home vacuum cleaner robot, such as iRobot Roomba, which can clean the house with the press of a ***, commercial products often share a common issue, which is ***, a team has decided to create a simple floor cleaner *** new Arduino Vacuum Cleaner that we will create is expected to be cost-effective and *** advancement of robotics and automation has revolutionized various aspects of everyday life, including household *** such innovation is the development of a robotic vacuum cleaner, which autonomously navigates through indoor spaces, detecting and cleaning dirt and *** project focuses on designing and implementing a robotic vacuum cleaner using Arduino microcontroller *** project aims to demonstrate the feasibility of building an affordable robotic vacuum cleaner using readily available components and Arduino *** outcomes include a functional prototype capable of autonomously cleaning floors, contributing to the advancement of home automation technologies. © Grenze Scientific Society, 2024.

关键词： Motion planning

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Ble Based Home automation

Ble Based Home Automation

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2024 international conference on communication, computing and Internet of Things, IC3IoT 2024

作者： Sasikala, V. Harini, A. Trisha, Bhashyam Kaviah, N.A. Sri Sairam Engineering College Department Of Electronic And Communication Engineering Chennai India

ISBN: (纸本)9798350352689

Environmental concerns have garnered widespread attention, but electricity consumption continues to contribute to environmental pollution. To effectively conserve energy, users must have a clear understanding of individual appliance consumption. Existing energy feedback systems often present technical data that is inaccessible to most users. The most efficient approach to address environmental concerns associated with electricity consumption is by minimizing usage. This challenge is addressed through the creation of the Smart Energy Consumption Monitoring System. It enables users to manage power consumption within their building, providing real-time insights into electricity usage and automatically generating consumption reports. The system is designed to enhance the comfort, security, and energy efficiency of modern homes. The fundamental elements of this system consist of the Arduino UNO microcontroller, which serves as the central hub for controlling temperature, light intensity, and motion detection. Multiple sensors, including temperature sensors, light sensors, and motion detectors, are strategically placed throughout the home to monitor and respond to environmental changes. The ARDUINO UNO orchestrates the data from these sensors, allowing homeowners to remotely control temperature settings, adjust lighting levels, and receive real-time alerts on detected motion. This level of automation not only increases convenience but also enhances security by deterring potential intruders through intelligent lighting and motion-activated alerts. The proposed energy detection device utilizes an ARDUINO UNO and various sensors like the ACS712, electric meter, and Wi-Fi connectivity. Collected data is analysed using the Internet of Things (IoT) technology, facilitating seamless power consumption monitoring and management from anywhere, at any time. © 2024 IEEE.

关键词： Electric power utilization

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