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A Novel Artificial Intelligence–Based Transaction

A Novel Artificial Intelligence–Based Transaction

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Innovative computing, intelligent Communication and smart Electrical Systems (ICSES), international conference on

作者： D. Rajalakshmi C.S. Anita B. Sai ManiTeja I. Manjunadhreddy G. Komal Sai Department of CSE R.M.D. Engineering College Kavarapettai Tiruvallur Tiger Analytics Wipro Limited

A key part of system security is making sure that people can't get in without permission and verifying their name. What the study found is that different types of biometrics are being used for mixed biometric security systems. But the review found that there hadn't been a lot of research that compared the Continuous Multimodal Biometric Authentication (CMBA) model when it came to pairings of biometric types, like fingerprint and facial recognition. The goal of this work is to make the results of cutting-edge continuous multimodal biometric identification systems official by looking at how they were designed, put into action, and evaluated. A Continuous Multimodal Biometric Authentication (CMBA) programme should be put into action and thoroughly tested on real-world data to show that such processes are possible. This will help us figure out how to use multimodal biometrics based on a transaction for a constant authentication process.

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Edge intelligent Perception Agents for smart City Field Application 2

Edge Intelligent Perception Agents for Smart City Field Appl...

引用

2nd international conference on Computer, Control and Robotics, ICCCR 2022

作者： Zhu, Zhongpan Yang, Hanlin Du, Qiwei Wang, Zhipeng Zhu, Dekang Bellam, Viswanath Goud Chang, Fenggui Li, Gang College of Electronics and Information Engineering Tongji Univeristy Shanghai China Gaitech Robotics Co. Ltd Shandong China

ISBN: (纸本)9781665466745

Artificial intelligence has been increasingly applied to smart city development and field practice. As a result, the problem about the exponential growth of city data and the cost of computing power has become increasingly prominent. Edge computing and multi-agent collaboration tend to be an emerging technology paradigm that enables the balance of the above contradiction. Based on the edge computing and multi-agent theory, we put forward the concept of EIPA (Edge intelligent Perception Agent) and its system architecture. The hardware design methodologies of mobile EIPA and stationary EIPA were expounded in detail, and then the algorithm model of intelligent monitoring in the urban park was introduced. The whole system is being tested and verified in the urban industry park and residential quarter. The utility results of EIPA for pollutant diffusion center location are discussed, which confirmed the system's effectiveness. The limitations of current work and recommendations for future work are proposed at last. © 2022 IEEE.

关键词： Internet of things

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PFCA: An intelligent Method of Multidimensional User Profile Construction and Application 7

PFCA: An Intelligent Method of Multidimensional User Profile...

引用

7th international conference on Big data analytics, ICBDA 2022

作者： Xia, Yi Zhou, Gang Luo, Junyong Lan, Mingjing Chen, Xiaohui Wang, Shiyu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781665479387

User profile plays an important role in analyzing high influencers in the era of big data. For example, the profile can help the political strategists to scrutinize the performance of a candidate or party and overcome their weakness long before election day. In this work, we propose a novel profile construction and application model (PFCA) that aims to discover the overall character of high influencers, and apply PFCA to Donald Trump, one of the most influential people recently, to identify Trump's comprehensive personalities. We first collect and preprocess profile data from static and dynamic aspects of multi-source data, and then categorize multi-source data topics and emotions. Next, we attempt to construct the profile from four aspects: fundamental characteristic, behavior characteristic, value characteristic and situation characteristic, to explore the correlation among these characteristics. Finally, PFCA is verified by the outcomes of the 2016 and 2020 U.S. presidential elections, and is evaluated by relevant experts, which proves that PFCA is relatively effective and efficient to profile high influencers. Moreover, PFCA can be further applied to related analysis and prediction in the 2024 U.S. presidential election. © 2022 IEEE.

关键词： Sentiment analysis

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smart Disinfectant Dispensers with IoT Sensors and AI for Optimal Usage in Public Spaces

Smart Disinfectant Dispensers with IoT Sensors and AI for Op...

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2025 international conference on intelligent Control, computing and Communications, IC3 2025

作者： Mohandas, R. Anitha, D. Balasubadra, K. Devi, R. Aiyshwariya Murugan, S. Rajmohan, M. Chennai Institute of Technology Department of Electronics and Communication Engineering Tamil Nadu Chennai India Department of Information Technology Tamil Nadu Rasipuram India R.M.D. Engineering College Department of Information Technology Kavaraipettai Tamil Nadu Chennai India R.M.K. College of Engineering and Technology Department of Artificial Intelligence and Data Science Puduvoyal Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Biomedical Engineering Tamil Nadu Chennai India Hindustan Institute of Technology and Science Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798331527495

Ensuring hygiene in public areas is of utmost importance now that there are worldwide health concerns. This research proposes a novel approach to creating smart disinfectant dispensers fitted with Internet of Things (IoT) sensors and Artificial Intelligence (AI) to maximize their use in public areas. By using IoT technology, the system can measure disinfectant levels, detect human engagement in real time, and monitor dispenser use. Machine learning models examine the data to find the best time to restock, predict when repairs will be necessary, and personalize the dispensing amount for each user according to their habits and conditions. The system also works with cloud platforms and mobile apps for remote monitoring and data analytics, giving administrators full control and visibility. Along with lowering operating expenses and ensuring a constant supply of disinfection, this method also reduces waste. smart disinfectant dispensers build healthier communities that can withstand outbreaks by encouraging regular and thorough handwashing. © 2025 IEEE.

关键词： Contrastive Learning

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Digital Twin smart Computer Room Management Method based on BIM Technology

Digital Twin Smart Computer Room Management Method based on ...

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data analytics, computing and Artificial Intelligence (ICDACAI), international conference on

作者： Guo Xinying Bai Liang Yedeli Bolati Pan Xudong Guzainuer Aizaizi State Grid Xinjiang Information & Telecommunication Company Xinjiang China

The emergence and development of digital twin (DT) provide rich imagination space for urban construction. Through DT, the physical world of seeing as reality can be created into a matching virtual image in cyberspace with digital technology. Make full use of the physical model, sensor update and other data, combined with BIM Technology, to provide improvement and optimization schemes for the later operation of the physical world, so that the development of the city can follow. Based on BIM Technology, this paper studies and analyzes the management method of DT intelligent machine room (IMR). The visual monitoring module based on DT and the adaptability of BIM Technology to digital management are analyzed; This paper discusses the kinematics of the DT IMR based on BIM Technology. Finally, based on the visualization and utilization of information resources of BIM, the overall design of the dispatching management system of the DT IMR is carried out. Taking tunnel engineering as the research object, the effectiveness of the management method of the DT IMR based on BIM Technology is verified.

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Big data analytics in IoT-Enabled smart Healthcare Systems: A Machine Learning Survey

Big Data Analytics in IoT-Enabled Smart Healthcare Systems: ...

引用

Communication, computing and Energy Efficient Technologies (I3CEET), international conference on

作者： Charul Nigam Priti Sharma Rahul V. Anand Arun Kumar Uttam Department of Information Technology Institute of Information Technology and Management New Delhi Department of Information Technology Jagannath International Management School New Delhi Department of Computer Application PSIT College of Higher Education Kanpur

ISBN: (数字)9798331541583

ISBN: (纸本)9798331541590

The global epidemic of chronic illnesses, such as the COVID-19 pandemic, underscores the pressing need for readily available healthcare services. The flaws in the traditional healthcare systems that are centered on hospitals and clinics are no longer hard to recognize. Wearables that are connected and intelligent have thus emerged as a critical technological solution, leveraging advancements in the realm of the Internet of Issues. These Internet of Things (IoT)-enabled wearables collect a lot of data and provide context-specific behavioral, psychological, and physical health insights. The volume of data generated by wearables and other IoT healthcare devices is a major obstacle to proper management and may impede decision-making processes. Big data analytics is becoming a more and more common way to get valuable data and enable predictive analysis in order to get around this problem. Furthermore, machine learning (ML) has been used to a range of networking issues, such as resource allocation, routing, traffic engineering, and security. Despite the abundance of research on big data analytics and machine learning, there is a lack of specialized studies on the development of machine learning techniques for large-scale data analysis in the Internet of Things healthcare space. This paper offers a comprehensive analysis with a focus on big data analysis in the healthcare sector using machine learning techniques. It discusses a number of research questions and evaluates existing approaches, including the benefits and drawbacks of each. This project aims to educate government agencies and healthcare professionals on the latest advancements in machine learning (ML)-based data analytics for cognitive healthcare systems..

关键词： Surveys Wireless sensor networks data analysis Decision making Medical services Machine learning Big data Telecommunication computing Internet of Things Wearable devices

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Solar Based smart EV Charging Station with smart Battery Management System

Solar Based Smart EV Charging Station with Smart Battery Man...

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international conference on Circuit, Power and computing Technologies (ICCPCT)

作者： V. Rama Ramalakshmi R. Muniraj Kohila J T. Jarin Department of EEE P.S.R. Engineering College Sivakasi Tamil Nadu India Department of EEE Jyothi Engineering College Thrissur Kearla India

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

This abstract highlights the significant progress made in combining solar energy, smart technology, and efficient energy management for EV charging infrastructure, representing a crucial stride toward sustainable transportation. The project focuses on creating solar-powered smart EV charging stations equipped with an intelligent battery management system (BMS) employing Maximum Power Point Tracking (MPPT) technology. These stations aim to maximize the capture and utilization of solar energy, ensuring optimal performance of the solar panels in diverse environmental conditions. Furthermore, the integration of smart features enables remote management, monitoring, and control, thereby enhancing operational efficiency and effectiveness. The smart BMS effectively manages energy storage and distribution, optimizing charging and discharging cycles to extend battery life. Its intelligent features allow for remote monitoring and control, enabling real-time adjustments based on energy needs, user preferences, and grid availability. This integration promotes cleaner transportation and enhances energy resilience. With connectivity and data analytics, operators can optimize charging schedules, predict maintenance needs, and contribute to grid stability by supplying stored renewable energy during peak demand. Overall, the integration of solar-based smart EV charging stations with a smart BMS employing MPPT technology represents a significant advancement in sustainable transportation infrastructure, fostering cleaner mobility and a smarter energy ecosystem.

关键词： Maximum power point trackers Energy exchange System performance Employment Transportation Battery management systems Solar energy

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Recent Advances in the Digital Twin System for smart Farming: A Five-Year Review

Recent Advances in the Digital Twin System for Smart Farming...

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computing Innovation, Intelligence, Technologies and Education (CIITE), international conference on

作者： Qiyi Xie Yuanjing Zhong MohammadMahdi Ariannejad Setio Timothy Darryl Budi Chen Zeyu Chen Shuyi Department of Electrical and Electronic Engineering Xiamen University Malaysia Sepang Selangor Malaysia

ISBN: (数字)9798350377286

ISBN: (纸本)9798350377293

The development of digital technologies has given rise to novel approaches to the problems facing contemporary agriculture. Digital Twin systems (DTS) are one of these technologies that have become an innovative tool in smart farming. DTS facilitates data-driven decision-making, predictive maintenance, and real-time monitoring by emulating actual farming processes virtually. Precision management over agricultural processes is made possible by integrating Internet of Things (IoT) devices, artificial intelligence (AI), and big data analytics into DTS. This reduces environmental effects, optimizes resource consumption, and increases crop yields. To provide an overview of the most recent uses of DTS in smart farms and to emphasize their contributions to productivity, sustainability, and efficiency, this study explores twenty case studies from the previous five years of research to get the benefits, difficulties, and implementation strategies of using DT technology in several agricultural environments. The paper emphasizes how DT systems are revolutionizing smart farming and opening the door to a more resilient and intelligent agrarian future.

关键词： smart agriculture Technological innovation Reviews Real-time systems Digital twins Internet of Things Resource management Artificial intelligence Sustainable development Predictive maintenance

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An Efficient Exploratory Demographic data analytics Using Preprocessed Autoregressive Integrated Moving Average 9th

An Efficient Exploratory Demographic Data Analytics Using Pr...

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9th international conference on Frontiers in intelligent computing: Theory and Applications, FICTA 2021

作者： Menon, Siddhesh Nandakumar Tyagi, Shubham Shankar, Venkatesh Gauri Data Science Manipal University Jaipur Rajasthan Jaipur India Department of Information Technology Manipal University Jaipur Rajasthan Jaipur India

ISBN: (纸本)9789811666230

The demographic dividend is an essential measure of the growth and development of a country. It refers to the economy’s growth due to a shift in the age structure in the country’s population. In India, around 90% of the population is under the age of 60, which is a stark contrast compared to the world, where more than 20% of the population lies above 60. Such a young population ensures that the working-age group will be vibrant in the coming years, adding to the country’s overall productivity. Today, COVID has caused much damage to an already vibrant economy, because of which millions of people have lost their jobs and have had to migrate back to their hometowns. To recover from this severe damage and take stock of the existing and incoming workforce, it is necessary to identify and analyze the current population that lies in suitable age ranges and understand how to use them optimally. Therefore, analyzing the demographic dividend to identify the workforce of the country becomes an essential task. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： data analytics

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smart Systems for Monitoring Buildings - An IoT Application 2nd

Smart Systems for Monitoring Buildings - An IoT Application

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2nd international conference on Optimization, Learning Algorithms and Applications (OL2A)

作者： Kalbermatter, Rebeca B. Brito, Thadeu Braun, Joao Pereira, Ana I. Ferreira, Angela P. Valente, Antonio Lima, Jose Fed Univ Technol Parana UTFPR Curitiba Parana Brazil Inst Politecn Braganca Res Ctr Digitalizat & Intelligent Robot CeDRI Campus Santa Apolonia P-5300253 Braganca Portugal Inst Politecn Braganca Lab Sustentabilidade & Tecnol Regioes Montanha Su Campus Santa Apolonia P-5300253 Braganca Portugal Univ Porto Fac Engn Porto Portugal INESC Technol & Sci Porto Portugal Univ Tras Os Montes & Alto Douro Vila Real Portugal

ISBN: (纸本)9783031232350;9783031232367

Life in society has initiated a search for comfort and security in social centers. This search generated revolutions within the knowledge about the technologies involved, making the environments automated and integrated. Along with this increase, ecological concerns have also arisen, which have been involved since the design of intelligent buildings, remaining through the years of their use. Based on these two pillars, the present study aims to monitor three central systems inside the apartments of the Apolo Building (Braganca city, Portugal). The electrical energy consumption, water flow, and waste disposal systems are integrated through a single database. The data is sent remotely via WiFi through the microcontroller. For better visualization and analytics of the data, a web application is also developed, which allows for real-time monitoring. The obtained results demonstrate to the consumer his behavior regarding household expenses. The idea of showing the consumer their expenditure is to create an ecological awareness. Through the data collected and the environmental alternatives found, it is possible to observe whether there was a behavior change when receiving this data, either in the short or long term.

关键词： Internet of Things intelligent buildings Wireless sensor network

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