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Efficient Power Theft Detection using smart Meter data in Advanced Metering Infrastructure

Efficient Power Theft Detection using Smart Meter Data in Ad...

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international conference on ent computing and Control Systems (ICICCS)

作者： Salil Manocha Vivek Bansal Ishan Kaushal Aruna Bhat Computer Science Engineering Delhi Technological University New Delhi India

ISBN: (数字)9781728148762

ISBN: (纸本)9781728148779

Since its discovery, electricity is the basic necessity of human life. It has helped to boost the industrial revolution and any economy, especially the developing ones are highly dependent on a regular and cheap supply of power. But power theft is a major threat to electric companies, it is catastrophic to power distributors and is a reason for financial damage. Regular Manual Inspection of all customers is a solution but it is very time and cost consuming and also leaves scope for corruption. So, AMI (Advanced Metering Infrastructure) has been introduced, which acts as two-way communication between the supplying company and customer via a smart meter which automates the measurement of electric energy usage. But this new technique brings in the possibility of new kinds of thefts and the consumption data compiled from this AMI has the potential to help build a system for fraud detection. Here, a machine learning-based detection methodology is presented, which first applies GMM clustering to categorize data into consumption classes. Then we improve the working of an ANN-based Classification model using a softmax layer and ensembling. The robust dataset used here helps to train the model efficiently and it achieved an astonishing accuracy of 92%. Results indicate the surpassing performance of this method in comparison to other existing detectors.

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An Overview of AI-Enabled Remote smart- Home Monitoring System Using LoRa

An Overview of AI-Enabled Remote Smart- Home Monitoring Syst...

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international conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Md. Shahjalal Moh. Khalid Hasan Md. Mainul Islam Md. Morshed Alam Md. Faisal Ahmed Yeong Min Jang Kookmin University Seoul Korea

ISBN: (数字)9781728149851

ISBN: (纸本)9781728149868

With the advancement of communication technology, Internet of Things (IoT) enabled smart home (SH) applications have engrossed substantial attention nowadays. However, a few meter range coverage and higher implementation cost are the main limitations of existing SH systems based on other cellular networks or short distance technologies. In this paper, a long range (LoRa) based SH system is proposed for remote monitoring and maintenance of IoT sensors and devices using artificial intelligence (AI) concept. A brief overview of what tasks LoRa can perform in SH networking are conferred. An AI-based data flow system for IoT server and cloud is also presented in this paper.

关键词： intelligent sensors Sensor systems Artificial intelligence Servers Monitoring Cloud computing

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Simulation model of the photovoltaic system with a storage battery for a local object connected to a grid with multi-zone tariffication

Simulation model of the photovoltaic system with a storage b...

引用

IEEE international conference on Energy smart Systems (ESS)

作者： Olexandr Shavolkin Iryna Shvedchykova Svitlana Demishonkova Kyiv National University of Technologies and Design Kyiv Ukraine Kyiv National University of Technologies and Design Kyiv Ukraine

ISBN: (数字)9781728197876

ISBN: (纸本)9781728197883

The simulation of connected to the grid with multiple tariffs zones photovoltaic system of local object with storage battery is presented. The possibility of increasing the efficiency of the system using the “open” structure of the converter unit at management by the controllers of photovoltaic and storage battery from intelligent control system is shown. The simulation model for the analysis of energy processes in the system taking into account the load schedule of a local object and the possibilities of the generation control and redistribution of energy based on daily metcast data is developed. It is proposed for the estimation the power generated by the photovoltaic battery to use the dependence of solar radiation for a clear day, taking into account the hourly cloudiness coefficient based on statistical data. The possibility of creating a database for clear days during the year is shown. The analysis of possible energy redistribution algorithms is carried out taking into account the time of year and weather conditions in the normal mode of operation of the system, as well as in autonomous mode.

关键词： Solar radiation Batteries Meteorology Cloud computing Clouds Photovoltaic systems data models

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ChatGPT-Powered Robot: smart, Interactive Living and Bridging the Future of Education and Entertainment

ChatGPT-Powered Robot: Smart, Interactive Living and Bridgin...

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Sustainable computing and smart Systems (ICSCSS), international conference on

作者： Kaushalya Thopate Mayuri Gawade Ketaki Shirbhavikar Mukund Kulkarni Shilpa Lambor Krishna Nilesh Jaiswal Computer Engineering Vishwakarma institute of Technology Pune India Artificial Intelligence and Data Science Vishwakarma institute of Technology Pune India Mechanical Vishwakarma institute of Technology Pune India Electronics & Telecommunication Vishwakarma institute of Technology Pune India

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558

Presenting a ground-breaking robotic system that introduces remarkable control mechanisms, encompassing Bluetooth connectivity, voice commands, and gesture inputs. This technological innovation transcends conventional boundaries, characterized by its remarkable capacity to provide precise and intelligent responses to inquiries, a feat attributed to its robust data analytics capabilities harnessed through the integration of ChatGPT. The robot's loudspeaker and microphone facilitate verbal communication, while its range of sensors, including a camera, microphone and accelerometer, enable it to understand its surroundings and interact effectively with users. With ChatGPT and a web API connection for rigorous testing, this robot provides accurate answers on a wide range of topics. Although still in the development stage, it has unlimited potential to become a valuable asset in many fields, including education and entertainment. Future upgrades may include language translation, home automation, and appointment scheduling. Moreover, a major challenge faced by this voice-activated robot is accurately interpreting diverse Indian English accents and dialects in noisy environments, which can lead to misrecognition and reduced interaction effectiveness. Explore this innovative robotic device that can be conveniently operated via Bluetooth, voice commands, and gestures. Its capabilities extend to answering queries through ChatGPT and providing insightful responses by analyzing data. While the robot is still in its development phase, it has the potential to become a valuable asset for entertainment, education and beyond. Other enhancements can be added, such as language translation, home automation, and assistance with scheduling appointments or shopping. The main motive behind this project is to help ungraduated people and to provide entertainment and learning purposes for students who are developing any kind of robot.

关键词： Bluetooth Home automation Torque Education Entertainment industry Chatbots Servers

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Thinking on Continuously Promoting Enterprise Cloudification in Jiangsu Province

Thinking on Continuously Promoting Enterprise Cloudification...

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IEEE international conference on Civil Aviation Safety and Information Technology (ICCASIT)

作者： Dianwei Wang Ou Bai Xingxing Zhang Tao Yu General Manager’s Office China Electronics Standardization Institute Huadong Branch Suzhou Jiangsu China iSESOL Information and Technology Co. Ltd Institute of Intelligent Manufacturing Shanghai China General Manager’s Office Jiangsu CESI Technology Development Co. Ltd Suzhou Jiangsu China Software Development iSESOL Information and Technology Co. Ltd Shanghai China

ISBN: (数字)9781728199481

ISBN: (纸本)9781728199498

Enterprise cloudification is a significant means to improve industrial Internet application level and smart manufacturing capability. Recently, Jiangsu Province attaches great importance to promoting enterprise cloudification. Based on the practice and data, current development of enterprise cloudification in Jiangsu is studied. Then, the suggestions to promote enterprise cloudification in Jiangsu are proposed after analyzing the problems and challenges what are faced.

关键词： Industries Cloud computing conferences Ecosystems Safety Information technology smart manufacturing

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Cloud-based smart Sewage Management System for Efficient Wastewater Treatment

Cloud-based Smart Sewage Management System for Efficient Was...

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Innovative Practices in Technology and Management (ICIPTM), international conference on

作者： V. Dhayalan Ramakrishnan Raman N. Kalaivani Ankit Shrirvastava G. Rajasekar Thamizhamuthu R Sri Sairam Engineering College Chennai Tamil Nadu India Symbiosis Institute of Business Management Pune & Symbiosis International (Deemed University) Pune Maharashtra India Saveetha College of Liberal Arts & Sciences Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai Tamil Nadu India Symbiosis International (Deemed University) Pune Maharashtra India Vinayaka Mission’s Kirupananda Variyar Engineering College Vinayaka Mission’s Research Foundation(DU) Salem Tamil Nadu India SRM Institute of Science and Technology Kattankulathur Campus-Chengalpattu Chennai Tamil Nadu India

ISBN: (数字)9798350307757

ISBN: (纸本)9798350307764

Maintaining public health and environmental sustainability depend on effective wastewater treatment. Monitoring, controlling, and optimizing the treatment process are often difficult for traditional sewage management systems. An innovative sewage management system that is cloud-based seems to be a feasible option in this situation. This system uses cloud computing and Internet of Things (IoT) technology to build an intelligent, connected network for monitoring and managing wastewater treatment operations. Sensors are installed throughout the sewage system to collect real-time data on numerous factors, including flow rate, pollutant levels, and water quality. It is sent to a central cloud platform to store and analyze this data. The cloud platform processes the collected data and produces valuable insights using innovative data analytics methods. It provides remote control and real-time monitoring, allowing for proactive reactions to abnormalities or emergencies. It increases the overall efficiency of wastewater treatment, resulting in better water quality and less adverse environmental effects. This method may significantly improve wastewater management, creating a cleaner and healthier environment.

关键词： Cloud computing data analysis Real-time systems Sensor systems Servers Internet of Things Wastewater

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Welcome to NRSC 2023 at Arab Academy for Science and Technology (AASTMT), smart Village Branch, Giza, Egypt

National Radio Science Conference, NRSC, Proceedings

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National Radio Science conference, NRSC, Proceedings 2023年 2023-May卷 X页

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A smart Waste Management System Using ESP8266

A Smart Waste Management System Using ESP8266

引用

Sustainable Expert Systems (ICSES), international conference on

作者： S. Thangam Gurupriya M C.Sai Kushal Yadav M. Harshith M.Sunil Kumar Computer Science and Engineering Amrita school of Computing Amrita Vishwa Vidyapeetham Bangalore India

ISBN: (数字)9798331540364

ISBN: (纸本)9798331540371

This research study presents a comprehensive smart waste management system designed to enhance collection efficiency and sustainability through the integration of Internet of Things (IoT) technologies. Key components include ultrasonic sensors for detecting waste bin fill levels, soil moisture sensors for monitoring waste composition, and the ESP8266 Wi-Fi module for real- time data transmission. The system offers continuous real-time monitoring and analytics, allowing waste management authorities to dynamically adjust collection routes based on actual waste levels. This optimization reduces operational costs by minimizing unnecessary collection trips, decreasing fuel consumption, and lowering vehicle wear and tear. Additionally, the system enhances waste segregation and recycling processes, promoting a circular economy and reducing landfill waste. Beyond operational benefits, the system contributes to environmental sustain ability by reducing greenhouse gas emissions associated with waste collection and disposal. It also improves public health by preventing overfilled bins and related hazards. This paper details the design, implementation, and advantages of this innovative IoT -based waste management system, highlighting its potential to transform traditional waste management practices.

关键词： Waste management Transforms Real-time systems Internet of Things Fuels data communication Sustainable development intelligent sensors Optimization Wireless fidelity

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Mobile-based smart District Holistic Values And Social Dimensions: a Citizen-centric Perspective

Mobile-based Smart District Holistic Values And Social Dimen...

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international conference on Informatics and computing (ICIC)

作者： Aang Kisnu Darmawan Daniel Oranova Siahaan Tony Dwi Susanto Hoiriyah Busro Akramul Umam Miftahul Walid Betty Dewi Puspasari A'ang Subiyakto Achmad Nizar Hidayanto Universitas Islam Madura Pamekasan Indonesia Institut Teknologi Sepuluh Nopember Surabaya Indonesia Sekolah Tinggi Teknik Atlas Nusantara Malang Indonesia UIN Syarif Hidayatullah Jakarta Jakarta Indonesia Faculty of Computer Science Universitas Indonesia Depok Indonesia

ISBN: (数字)9781728180472

ISBN: (纸本)9781728180489

At present, almost every country struggles to implement city management with the concept of smart cities. Previous studies have produced several models by exploring social values on the adoption and acceptance of technology in the application of the idea of a smart city. However, there is still little research that explores social values in the form of a relational relationship between the dimensions of builders in the smart District, which is very different from the concept of smart cities that are common and popular so far. This study aims to explore and evaluate the relationship of social dimensions of the application of smart mobile-based districts or districts. The model and approach used is an exploration of the building dimensions in the theory of Expectation Confirmation Model, Quality of Experience (QoE), Quality of Service (QoS), Trust, Commitment, Use Intention, Satisfaction, and Recommendation Intention. data collection was carried out from two hundred seventeen respondents who were successfully collected using online survey methods and offline data processing using smartPLS software v.3.2.8. The research findings indicate that there is a positive and significant relationship for the relational pattern of the proposed dimensions of intelligent district service builders. This research contributes to the modeling of the relational relationships of the aspects of the building of smart districts, which is still rarely done. This study confirms that local governments and policymakers should pay more attention to the relationship of critical social dimensions in technology adoption that affects the quality of service performance of smart-based mobile districts.

关键词： smart cities Local government Buildings Quality of service Software Quality of experience Informatics

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Influence of Chinese English Bilingual Corpus of Traditional Chinese Medicine Prescriptions on ESP Writing Under the Background of Big data

Influence of Chinese English Bilingual Corpus of Traditional...

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international conference on Cyber Security Intelligence and analytics, CSIA 2020

作者： Su, Zheqian Lian, Shulin Wei, Xing Shang, Yongwei Changchun University of Chinese Medicine Changchun130117 China General Surgery Department Affiliated Hospital of Changchun University of Chinese Medicine Changchun130117 China

ISBN: (纸本)9783030433055

Objective: the construction and application of Traditional Chinese Medicine (TCM) English corpus is the new trend of TCM English research and development. The establishment and development of TCM bilingual corpus is conducive to ESP teaching, the formation of unified standards and norms of TCM English, the provision of reference standards and basis for TCM English translation, and ultimately the rapid development of TCM English subject, and the internationalization of TCM Service. Methods: the corpus used in this study is from the Chinese-English version of "Jingui Yaolue" (Synopsis of the Golden Chamber) translated by Li Zhaoguo and Liu Xiru, and the self translated version of "Tang Tou Ge Jue" (Decoctions in Rhymes). The research on English corpus of Traditional Chinese medicine based on corpus linguistics is briefly summarized, and the role and significance of the construction of English corpus of TCM prescriptions for English writing of traditional Chinese medicine are analyzed and expounded. The junior students (n = 80) of a college of TCM were randomly divided into two groups: experimental group (n = 40) and control group (n = 40). The experimental group used bilingual corpus of prescription terms as the driving force in the process of writing TCM English. The control group adopted the conventional writing mode, that is, the teacher explained the Chinese medicine vocabulary that may be involved in the writing process firstly, and then the students reviewed and wrote. In this study, a self-designed ESP writing ability scale of TCM was used to measure the writing ability of the experimental group and the control group. Results: in the five dimensions of word accuracy, sentence structure, text structure, writing efficacy and writing motivation, the post test of the experimental group and the control group were significantly better than the pre test (p 0.05). Conclusion: the traditional teaching method of foreign language is mainly based on the rules taught by te

关键词： Big data

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