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检索条件"任意字段=International Conference on Innovations in Power and Advanced Computing Technologies"

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3rd IEEE international Virtual conference on innovations in power and advanced computing technologies, i-PACT 2021

3rd IEEE International Virtual Conference on Innovations in ...

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3rd IEEE international Virtual conference on innovations in power and advanced computing technologies, i-PACT 2021

ISBN: (纸本)9781665426916

The proceedings contain 329 papers. The topics discussed include: design of PID algorithm in super-capacitors wireless charging system;execution of smart electric vehicle charging station driven by re technology using soft computing approach;deviations in efficiencies of logarithmically growing sorting algorithms at infinitely large datasets;classification based on protein expression levels and identification of proteins critical to learning ability in trisomic mice;replay attack detection for speaker verification using different features level fusion system;investigations on finite element analysis of permanent magnet synchronous motor using ANSYS RMxprt and maxwell for electric vehicle applications;application of machine learning in customer churn prediction;contactless attendance cum temperature detection system with real-time alerts;human body pose estimation and applications;remote and voice controlled surveillance robot with multimodal operation;power sharing control and voltage compensation using virtual impedance loop control for islanded microgrid;and design of novel hand glove based dry-iontophoresis system for treating palmar hyperhidrosis.

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3rd IEEE international Virtual conference on innovations in power and advanced computing technologies

3rd IEEE International Virtual Conference on Innovations in ...

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innovations in power and advanced computing technologies (i-PACT)

The students, staff, faculty and management of UM & VIT cordially invite you to the inaugural function of the 3rd IEEE international Virtual conference on innovations in power and advanced computing technologies.

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Enhancing Solar power Forecasting Through Hybrid Machine Learning Models, Satellite Data Integration, and Transfer Learning Techniques 3

Enhancing Solar Power Forecasting Through Hybrid Machine Lea...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Aneesh, M. Nischal, U. Shendige, Sathvik N. Ashwini, A. Bnm Institute of Technology Department of Cse Bangalore India Bnm Institute of Technology Department of Eee Bangalore India

ISBN: (纸本)9798331515911

This paper introduces an innovative method for improving solar power prediction accuracy by integrating realtime weather forecasting, advanced machine learning techniques, and hybrid modelling frameworks. The proposed methodology incorporates satellite-based solar irradiance data, time-series prediction leveraging Long Short-Term Memory (LSTM) networks, and transfer learning for cross-regional model adaptation. These innovations aim to address the limitations of traditional models and provide a more resilient framework for forecasting solar power in diverse geographic regions. © 2025 IEEE.

关键词： Adversarial machine learning

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A Comprehensive Survey and Implementation of Health Kiosk innovations: AI Integration, IoT Applications, and Predictive Healthcare Solutions 3

A Comprehensive Survey and Implementation of Health Kiosk In...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Amrutesh, Aniverthy Bharadwaj, Shreelakshmi Darshan Kumar, T. Asha Rani, K.P. Gowrishankar, S. Dr. Ambedkar Institute of Technology Department of Computer Science and Engineering Karnataka Bengaluru560056 India

ISBN: (纸本)9798331515911

Kiosks, initially designed for administrative purposes, have rapidly evolved into vital tools in healthcare, offering a range of services such as diagnostics, telemedicine, and health data management. This paper presents a comprehensive survey of health kiosks, emphasizing their application in healthcare environments, particularly with the integration of AI, IoT, and predictive analytics. Key technologies, including advanced biometric sensors and AI-driven health insights, have significantly enhanced their functionality. The economic impact of deploying health kiosks, their integration with existing healthcare systems, and the importance of adhering to international medical standards are thoroughly examined. A review of academic research, patents, and industry innovations sheds light on the latest advancements, while case studies of real-world implementations demonstrate their growing adoption across different sectors. The paper also provides a comparative analysis of kiosk models globally, addressing challenges in deployment. Future trends such as AI and wearable technology integration, blockchain for secure health data management, and personalized healthcare services are explored, highlighting the potential for health kiosks to further revolutionize healthcare delivery. Considering the Literature available a practically feasible Health Kiosk is implemented with a custom ML model deployed with an accuracy of 95.3% is achieved. © 2025 IEEE.

关键词： Electronic health record

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Transforming Agriculture with Cloud computing: Data Processing and Analysis innovations 3

Transforming Agriculture with Cloud Computing: Data Processi...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Mohammed, Shehu Singh, Arun Kaur, Harpreet Lovely Professional University Department of Computer Application Phagwara India Lovely Professional University Department of Computer Science and Engineering Phagwara India Lovely Professional University School of Computer Science and Engineering Phagwara India

ISBN: (纸本)9798331515911

Cloud computing is a game-changer in modern agriculture, providing new forms to access enormous data analysis. In this paper, we investigate how cloud computing solutions are being integrated with agricultural practices to improve the efficiency, scalability and availability in managing data pertaining to agriculture. Farming operations generate massive amounts of data from a multitude of sources like sensors, drones, and satellite imagery., the performance bottleneck becomes the traditional methods with which the data are being processed. So the common factor in all these problems lies with Cloud computing itself, it has a scalable infrastructure that provides reliable analysis and Real-time processing of large data sets throwing light on an array of questions people have about various aspects. In this paper, we explore the major innovations in cloud computing that power precise agriculture and examine how machine learning algorithms, data fusion methods, and distributed processing platforms are utilized. It also discusses cloud-based solutions, which can reduce costs of the use of resources, crop yield prediction, and risk management to weather/climate and pests. Cloud computing opens up a world of monitoring, analysis, and optimization to help provide higher yields more efficiently while maintaining a commitment to sustainable agriculture. Challenges and considerations in deploying cloud computing in agriculture, e.g., data security risks, privacy concerns, and the need for stable internet connection for rural environments are also articulated in the paper. The results of this project underscore the vital importance of cloud technology in redefining the agri-future and providing a robust platform for smarter and more sustainable agriculture. © 2025 IEEE.

关键词： agricultural data processing Cloud computing data analysis machine learning precision agriculture sustainable farming

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Design of Low power 4-Bit Adder for DSP Applications Using Custom 45nm Technology CMOS Standard Cell Design 3

Design of Low Power 4-Bit Adder for DSP Applications Using C...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Bharadwaj, Abhi A. Arvind, R. Patel, Daksh Pankaj Shirur, Yasha Jyothi M. Bnm Institue of Technology of Organization Bengaluru India

ISBN: (纸本)9798331515911

The increasing demand for energy-efficient digital circuits in resource-constrained environments like mobile devices has driven the need for optimized low-power designs. This research focuses on the design of a 4-bit Ripple Carry Adder (RCA) tailored for Digital Signal Processing (DSP) applications. Using 45nm technology, the goal is to minimize the consumption of power while ensuring high performance. This design addresses static and dynamic power concerns by leveraging custom standard cell design and advanced low-power techniques like Sleepy CMOS Sleepy Stack (SC-SS) and the Forced Stack Technique (FST). The challenge is optimizing the RCA's design to minimize power consumption while maintaining high operational speed, enabling integration into embedded DSP systems in resource-constrained environments such as mobile devices. © 2025 IEEE.

关键词： CMOS integrated circuits

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A Critical Study on Hybrid computing and Its Current Influences and Future Challenges 3

A Critical Study on Hybrid Computing and Its Current Influen...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Praveen, K.V. Joe Prathap, P.M. Beevi, L. Sherin Dani, W. Vinil St. Peter's College of Engg. and Tech. Department of Information Technology Chennai India R.M.D. Engineering College Department of Computer Science and Engineering Kavaraipettai India St. Peter's College of Engg. and Tech. Department of Eee Chennai India

ISBN: (纸本)9798331515911

This research focuses on the evolving field of hybrid computing, which combines traditional computing architectures with advanced computational paradigms like quantum computing, neuromorphic computing, or cloud-edge computing. Hybrid computing involves integrating multiple computing models or systems to leverage their complementary strengths. For example, combining classical computing with quantum or neuromorphic approaches to solve complex problems more efficiently. The goal is to enhance computational power, increase efficiency, and tackle problems that are difficult for traditional computing models alone. Emerging technologies, including quantum computing, machine learning, and AI, are driving the need for hybrid systems. These technologies enable the handling of more complex computations that classical systems struggle with, such as optimization, simulation, and cryptography. The integration of cloud and edge computing is also central to hybrid computing, enabling decentralized computation and processing closer to data sources. Combining different computing paradigms requires seamless communication and integration between systems, which is a significant technical challenge. Main challenging areas are scalability, software and hardware compatibility, energy efficiency and security. There is a need for standard protocols and frameworks to enable smoother integration of various computing systems. New algorithms that can take advantage of hybrid architectures need to be developed. Depend on applications significant advancements in hardware, including quantum processors, neuromorphic chips, and integrated hybrid processors required. The rise of hybrid computing will also bring ethical concerns, such as the impact on jobs, privacy, and inequality in access to advanced technologies. The study concludes by emphasizing the transformative potential of hybrid computing while acknowledging the technical, economic, and societal hurdles that need to be overcome. It highlights

关键词： Quantum computers

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China Is the Leading Country in the World in the Implementation of Robotic Technology as the Basic Technology of Industry 4.0 12th

China Is the Leading Country in the World in the Implementat...

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12th international conference of Machine and Industrial Design in Mechanical Engineering

作者： Karabegovic, Isak Husak, Ermin Karabegovic, Edina Mahmic, Mehmed Acad Sci & Arts Bosnia & Herzegovina Sarajevo Bosnia & Herceg Univ Bihac Tech Fac Bihac Bihac Bosnia & Herceg

ISBN: (纸本)9783031805141;9783031805127;9783031805110

It is well-known that the research and development of new technologies, and their implementation in production processes and human environment lead to great changes and the shaping of a new world. Technological innovations continuously develop and change over time, however implementation is delayed and the reason is rigid infrastructure. In order to ensure an optimal future we must adapt to the changes that are coming. Many developed and developing countries have realized this and adopted their strategies for implementing Industry 4.0 and carry out its implementation. Change their production processes in such a way that they implement the basic technologies of Industry 4.0 (there are currently over forty in the world), such as: Internet of Things (IoT), Big Data, Robotics, Cloud computing, Smart Sensors, Radio Frequency Identification (RFID), 3D Printing, advanced Security Systems, Virtual and Augmented Reality, Artificial Intelligence (AI), etc. By introducing the aforementioned basic technologies into production processes, they become more automated and flexible with the tendency to become smart production processes. The paper provides an analysis of the implementation of robotic technology as the basic technology of Industry 4.0 in the country of China as the leading country in the world in research, development and implementation of this technology. The paper attempts to find an answer as to why China is the world leader in the implementation of robotic technology.

关键词： Robotics China Industry 4.0 Automation Smart Processes advanced technologies

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3rd international conference on Smart technologies and Innovation Management, MTYMEX 2024

3rd International Conference on Smart Technologies and Innov...

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3rd international conference on Smart technologies and Innovation Management, MTYMEX 2024

ISBN: (纸本)9783031649561

The proceedings contain 15 papers. The special focus in this conference is on Smart technologies and Innovation Management. The topics include: Prospective Directions in the Computer Systems Industry Foundation Classes (IFC) Shaping Data Exchange for Cities Sustainability and Resilience;a Proposal of Model Combining Semantic Analysis and Knowledge Graph for Question Answering System in Vietnamese Law of Science and Technology;trends and Innovative Tactics in Startup Innovation: A Survey;interactive Web Mapping for Geolocation of Socio-community Infrastructure in a Developing Country;development of Digital Capabilities for E-commerce Agribusiness: An Exploratory Research;a Social-Software-Based Telemedicine Information System for Facilitating Healthcare Services;lab-to-Market Product Innovation: Implications of Using a Translational Research & Development Model and Methodology;a Multilayered Process Framework for Predicting Students’ Academic Performance in Open and Distance Learning;a New Notification System for Tracking Ethereum Transactions with Social Media Software;A Secure Consortium-Blockchain-Enabled Communication Scheme for DNA-Based Smart Health Systems;review on Machine Learning for Zero-Day Exploit Detection and Response;A Review of AI in Spear Phishing Defense: Detecting and Thwarting advanced Email Threats;energy-Efficient Dynamic Adaptive Encryption for Low-Resource Internet of Things.

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Edge computing and big data analysis integration framework in smart grid edge gateway

Edge computing and big data analysis integration framework i...

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2024 international conference on Physics, Photonics, and Optical Engineering, ICPPOE 2024

作者： Liu, Yuan Zhang, Wei Liu, Liguo Li, Xuehua Yang, Chenjie Wang, Yukui State Grid Information & Telecommunication Co. Ltd. Beijing branch Beijing China

ISBN: (数字)9781510689121

ISBN: (纸本)9781510689114

This study aims to enhance the data processing efficiency, real-time performance, and system reliability of smart grids by integrating edge computing and big data analysis in smart grid edge gateways. This study shows how advanced technologies like edge devices, edge computing nodes, big data analytics modules, and control systems can be utilized in a real grid setting to enhance operational efficiency and grid prediction ability through a comprehensive architecture design and implementation. In the research, we concentrated on data real-time processing, transmission mechanism, and system architecture design, and we validated the framework's efficiency with real cases. Studies indicate that the integration of edge computing and big data analysis in an organic manner can enhance the data processing abilities of the power grid, decrease delays, and offer robust backing for optimal power grid management. This framework is capable of satisfying the requirements of current smart grids, as well as possessing strong scalability and adaptability, providing a robust groundwork for the advancement of future smart grids. © 2025 SPIE.

关键词： Mobile edge computing

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