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检索条件"任意字段=2023 International Research Conference on Smart Computing and Systems Engineering, SCSE 2023"

共 8093 条记录，以下是301-310 订阅

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smart Home Based on IoT by Using Machine Learning 1

引用

6th international conference on Microelectronics and Telecommunication engineering, ICMETE 2022

作者： Lavanya, K. Archana, K.S. CSE Vels Institute of Science Technology & Advanced Studies Chennai India Department of Data Science and Business Systems School of Computing SRM Institute of Science and Technology Kattankulathur Chennai India

ISBN: (数字)9789811995125

ISBN: (纸本)9789811995118

smart homes have surfaced as the coming wave of technological advancement. It is a collection of smaller systems connected to home network and comprising a variety of communication technologies which can assist inhabitants’ convenience, security, safety, and comfort. This paper examines several IoT based smart house approaches, which were divided as 2 categories depending on application: smart home security system and smart home automation. We explored several sensors, doors, and communication protocols utilized in IoT-based smart homes in this paper. We also discussed about research problems and also open research objectives. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Machine learning

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smart Artificial Intelligence based Drowsy Detection and Alerting System for Vehicles, Industries

Smart Artificial Intelligence based Drowsy Detection and Ale...

引用

2023 international conference on Sustainable computing and smart systems, ICSCSS 2023

作者： Meenakshi Sundereswaran, U. Paramasivam, K. Suresh Kumar, R. Kumaraguru College of Technology Department of Electrical and Electronics Engineering Coimbatore India

ISBN: (纸本)9798350333602

smart artificial intelligence based drowsy detection system is designed using raspberry-pi processor. The processor is used to detect facial eyebrows closure time period to confirm sleepy state of the user. The user face is fed as input to the processor using 2volt USB camera, and using machine learning OpenCV facial detection algorithm the users face is checked for sleep state. If the user is detected in sleepy state, then the buzzer is turned on and nearby vehicles or obstacles are detected using ultrasonic sensor. If the ultrasonic sensor detects some vehicles (obstacles) at a particular fixed distance, then the vehicle engine will be turned-off automatically. Also, this system can be modified into a system that detects the sleepy state of the worker in the industry and wake him up using buzzer and in motor-based industries the motor can be stopped automatically if the worker is detected in sleepy state. Thus, preventing heavy loss and accidents in industries due to human error. © 2023 IEEE.

关键词： Ultrasonic sensors

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Blockchain To Secure Cloud computing services

Blockchain To Secure Cloud computing services

引用

2023 international conference on Artificial Intelligence and smart Communication, AISC 2023

作者： Goswami, Sushmita Uike, Dipesh Patil, Sujeet Thakur, Yashasvi Akram, Shaik Vaseem Pant, Kumud Gla University Institute of Business Management Uttar Pradesh Mathura India Dr. Ambedkar Institute of Management Studies and Research Maharashtra Nagpur India Nmims Deemed-to-be-University Department of School of Technology Management and Engineering Maharashtra Mumbai India Uttaranchal University Uttaranchal Institute of Technology India Graphic Era Deemed to Be University Department of Biotechnology Uttarakhand Dehradun India

ISBN: (纸本)9798350322309

The fast progress of technology has led to a rise in recent decades in privacy and cyberattack issues. This effort focuses on job in keeping and anonymity-enhancing safe cloud computing services using a blockchain named. It is developed with two features - anonymous files and searches for illegally submitted content. On, cloud users may identify all users inside the application layer and access data using payment systems. Analysis is done on how well three different implementations pure ledger, composite block chain with a cache and a convention database - perform when it comes to obtaining data. The results show that the work with the caches beats the pure network and the conventional by 50% and 53.19 percent, respectfully. © 2023 IEEE.

关键词： Blockchain

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Optimizing Large-Scale Data Processing with Artificial Intelligence 3

Optimizing Large-Scale Data Processing with Artificial Intel...

引用

3rd international conference on smart Generation computing, Communication and Networking, smart GENCON 2023

作者： Khurana, Saniya Kumar, Ritesh Beemkumar, N. Shukla, Anupam Nirmala, D. Meshram, Vidula V. Chitkara University Institute of Engineering and Technology Chitkara University Centre of Interdisciplinary Research in Business and Technology Punjab India Maharishi School of Engineering and Technology Maharishi University of Information Technology Uttar Pradesh India Faculty of Engineering and Technology Department of Mechanical Engineering Karnataka Bangalore India Vivekananda Global University Department of Computer Science & Engineering Jaipur India Prince Shri Venkateshwara Padmavathy Engineering College Department of Electronics and Communication Engineering Chennai127 India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India

ISBN: (纸本)9798350319125

massive-scale statistics processing presents precise demanding situations in extracting insights, as the sheer amount of records can be overwhelming for classic analytics systems. Artificial Intelligence (AI) can offer a powerful answer for coping with large-scale records units, because it leverages system mastering algorithms to construct sophisticated fashions and automate complex evaluation. AI algorithms are also adaptive and incredibly green, which reduces the time it takes to mine valuable insights from big information units. This paper will study the diverse approaches that AI can enhance large-scale information processing and explore the numerous advantages of deploying AI in statistics processing workflows. The dialogue will include the advantages of leveraging AI for both supervised and unsupervised getting to know tasks in addition to the technical concerns around deciding on the proper AI technology for information processing jobs. Subsequently, the paper will present actual- world applications of AI in huge-scale records processing and evaluate the ability for groups to gain an aggressive aspect by deploying AI of their information pipelines. © 2023 IEEE.

关键词： Aggressive Applications Information Numerous Present

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Grid-tied smart Microgrid with Heuristic Optimized Energy Management System (EMS)

Grid-tied Smart Microgrid with Heuristic Optimized Energy Ma...

引用

2023 international conference on Next-Generation computing, IoT and Machine Learning, NCIM 2023

作者： Shufian, Abu Kabir, Shaharier Islam, Md Ashikul Hoque, Md Jawad-Al-Mursalin Adnan, Md Asif Mohammad, Nur American International University-Bangladesh Dept. of EEE Dhaka1229 Bangladesh Lamar University Dept. of Electrical Engineering TX77705 United States Chittagong University of Engineering and Technology Dept. of EEE Chattogram4349 Bangladesh

ISBN: (纸本)9798350316001

There is a global shift towards integrating renewable energy sources into existing power systems to address the increasing energy demand while minimizing environmental impact. One popular approach is the utilization of solar/battery-based grid-connected microgrid systems, which have gained significant popularity. However, the intermittent nature of solar power poses a challenge in ensuring a steady energy supply. To overcome this challenge, this research proposes an optimized microgrid EMS that efficiently manages energy consumption, generation, and distribution, aiming to minimize operational costs. A cost-effective solution for microgrid operation, monitoring, and administration has been developed by incorporating demand side management (DSM) techniques and employing a heuristic optimization approach. The results demonstrate a remarkable 33.6% reduction in operational costs compared to systems without an EMS. These findings highlight the effectiveness of the proposed optimized EMS in generating and delivering electricity to consumers at affordable prices. This research contributes to the advancement of microgrid systems and provides valuable insights for policymakers, industry stakeholders, and researchers, supporting the adoption of renewable energy and enhancing microgrid performance. © 2023 IEEE.

关键词： Cost reduction

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smart Fingerprint Authentication and Alert System Using IoT 2

Smart Fingerprint Authentication and Alert System Using IoT

引用

2nd international conference on smart Technologies and systems for Next Generation computing, ICSTSN 2023

作者： Elavarasi, K. Mohana, V. IFET College of Engineering Dept of Information Technology Villupuram India

ISBN: (纸本)9798350348002

Person's fingerprints will never match those of another person, fingerprint recognition is among the most secured types of identification systems. Therefore, it is possible to prevent unwanted access by building a system that can store the fingerprints of one or more authorized users and only allow access to the device whenever a match is detected between the stored fingerprints as well as the user's own fingerprints. Door lock mechanisms that rely on passwords can be readily broken into if the credentials are divulged to another person or stolen;as a result, users who have shared access need a biometric-based security system. We have set up a centralized control system through which we are able to determine who is permitted to enter particular rooms and who is not permitted to do so. This is a device based on Arduino UNO that has flexible working capabilities and offers physical security through the use of fingerprint sensing technologies. © 2023 IEEE.

关键词： Palmprint recognition

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smart Farming System using NPK Sensor 9

Smart Farming System using NPK Sensor

引用

9th international conference on Advanced computing and Communication systems, ICACCS 2023

作者： Cheruvu, Bharadwaj Latha, S. Bhargavi Nikhil, Mada Mahajan, Hitesh Prashanth, Kongari Gokaraju Rangaraju Institute of Engineering and Technology Computer Science Department Hyderabad India

ISBN: (纸本)9798350397376

The human population is only growing, and certain steps are to be implemented to meet the future requirements with respect to food. This paper discusses the implementation of a smart farm using Internet of Thing. IoT has led to a faster form of gathering data and inferring from our surroundings. A farmer, with the help of this smart farm system, will be able to keep track of plant and soil vitals in real-time and use the recommendation system, based on a model trained from a dataset, to suggest the best suitable crop based on sensor values. IoT-enabled smart Farming will enable growers and farmers to enhance productivity and reduce the wastage of resources. The proposed system is a more reliable concept and can be easily implemented as it consists of sensors that can collect vital information about the environment from soil nutrients, temperature, humidity, and soil moisture regularly which is displayed on an easy-to-understand interface to be interpreted by the growers and farmers to understand the best conditions to give their plants. © 2023 IEEE.

关键词： Python

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Renewable-Based smart Wireless EV Charging Station

Renewable-Based Smart Wireless EV Charging Station

引用

2023 international conference on Innovative computing, Intelligent Communication and smart Electrical systems, ICSES 2023

作者： Pradeep, Jayarama Maria Shirley John, L.M. Priyanka, J. St. Joseph's College of Engineering Department of EEE India

ISBN: (纸本)9798350319200

A sustainable and dependable infrastructure is becoming more important to accommodate the ever-increasing demand for electric cars (EVs). Renewable-based smart EV charging stations are an innovative solution that not only provides charging services but also leverages renewable energy sources to minimize the environmental impact of transportation. An intelligent electric vehicle charging station that draws power from renewable sources, such as solar panels, is the proposed solution in this project. In order to optimise the charging process and regulate energy consumption, the charging station will use advanced technology like the Internet of Things (IoT). The proposed charging station will have a modular design that can be easily scaled up or down to meet the demand of different locations. The station will also incorporate a monitoring and control system that can provide real-time information on the charging status and energy consumption. Proteus software is used for the simulation of the proposed system. Also, hardware was constructed to verify the results. © 2023 IEEE.

关键词： Battery Charger IR Sensor Renewable Energy RFID smart StationElectric Vehicle (EV)

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Design and Implementation of smart Classroom Using Cisco Packet Tracer 1

Design and Implementation of Smart Classroom Using Cisco Pac...

引用

1st IEEE international conference on Advances in Electronics, Communication, computing and Intelligent Information systems, ICAECIS 2023

作者： Duvvuri, Kavya Kanisettypalli, Harshitha Kunisetty, Jaswanth Khanna, Manju Amrita School of Engineering Dept. of Computer Science Engineering Bengaluru India

ISBN: (纸本)9798350348057

Schools and colleges play a very crucial role in everyone's life. It is very important to impart good morals and safe education to future generations. As days go by, the necessity for faster job completion and smarter devices is increasing. The safety of students becomes important as the number of students enrolling in schools is gradually increasing. Discipline and time management skills must be imparted to students from a tender age in the school environment. Both safety and discipline can be ensured by making use of devices that are smarter and remotely controllable. Through this work, we have introduced the design of a smart classroom using a network simulation called Cisco Packet Tracer. The work is based on the concept of the Internet of Things. It has multiple subsystems that together make the class a wonderful place for students to build their future. © 2023 IEEE.

关键词： Students

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An Industrial and Public Power Grids Malfunction Detection Towards Data Driven 3

An Industrial and Public Power Grids Malfunction Detection T...

引用

3rd international conference on smart Generation computing, Communication and Networking, smart GENCON 2023

作者： Singh, Jaskirat Chitkara University Institute of Engineering and Technology Chitkara University Centre for Interdisciplinary Research in Business and Technology Punjab India

ISBN: (纸本)9798350319125

In this paper, we suggest exploring a concept for distant detection of faulty grid-supporting equipment utilizing little data. These devices and their auxiliary functions, such reactive power dispatch utilized for voltage management, will be crucial to the functioning of future electrical grids. Capability is being created to allow improved monitoring of grid-connected devices to ensure security of supplies and resilience by synthesizing and exploiting operational information from a distribution grid. Data-driven methods of anomaly detection are investigated as a first step. They are used on the device's operating data to identify anomalies. Early results indicate applicability and potential barriers. © 2023 IEEE.

关键词： Attack on smart grid Deep Learning Industrial Applications Malfunction detection and localization Power Grid

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