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Highly Efficient Dual-Buck Structured Buck-Boost AC-AC Converter With Versatile Identical Inverting/Noninverting Operations

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IEEE Transactions on Industrial Informatics 2023年第12期19卷 11403-11417页

作者： Ahmed, Hafiz Furqan Alzaabi, Omar El Moursi, Mohamed Shawky Al Hosani, Khalifa National Sun Yat-sen University Department of Electrical Engineering Kaohsiung804201 Taiwan Khalifa University Advanced Power and Energy Center Department of Electrical Engineering and Computer Science Abu Dhabi127788 United Arab Emirates Mansoura University Faculty of Engineering Mansoura35516 Egypt

Single-phase dual-buck ac-ac (DBAC) converters are gaining attention due to their intrinsic protection from shoot-through and open-circuit problems of conventional ac-ac converters. However, research works on DBAC converters are mainly concentrated around unipolar topologies. In a few developed bipolar topologies to date, the inverting buck-boost operations (for series voltage injection and step-variable frequency outputs) are inefficient and burdened by large voltage and current stresses (v in + vo and i in + i o) of switching devices and ripples of passive elements. In this article, an efficient dual-buck structured buck-boost ac-ac converter is proposed, with the following features: no voltage source shoot-through and inductor open-circuit problems, natural attainment of safe commutation without additional protection circuitry or complex control, no need for pulsewidth modulation dead times, and elimination of high-frequency conduction of mosfet's body diodes and related slow reverse recovery issues. The proposed converter provides distinct types of efficient inverting and noninverting buck and boost operations, with smaller switch voltage/current stresses (v in/vo and i in/i o) and passive component ripples. Combined inverting and noninverting buck-boost operations are also proposed with separate tuning of buck and boost voltage transfer ratios. A simple adaptable switching strategy provides the switch control pulses for all circuit operations by modulating the buck and boost control reference signals. The proposed converter provides sustained input/output currents and performs well with nonresistive loads. Extensive theoretical analysis is presented followed by practical verifications on a 400-VA laboratory circuit. © 2005-2012 IEEE.

关键词： Buck-Boost converter

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Tracking and Monitoring of Medical Equipments using UWB for Smart Healthcare 6

Tracking and Monitoring of Medical Equipments using UWB for ...

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6th International Conference on Computing Methodologies and Communication, ICCMC 2022

作者： Shyam, Shilpa Juliet, Sujitha Ezra, Kirubakaran Karunya Institute of Technology and Sciences Computer Science and Engineering Department Coimbatore India

ISBN: (纸本)9781665410281

Healthcare sector has been witnessing prodigious developments across the decade. The developments in the sector has been brought about by the amalgamation of several technologies, from IoT to AI. The vast changes in this arena has brought about a change is the quality of life. With the expansion of such systems in a hospital, the tracking and monitoring of medical equipments have become a tedious task. The equipments in the hospital needs to be located in the most efficient manner in terms of cost, accuracy and reliability. Considering the hurdles faced, the authors introduce a system which would trace the medical equipments and monitor them using the technology of Ultra wide band (UWB). TDoA (time difference of arrival) method and 3 D triangulation techniques are implemented along with. The authors have put forth a hardware and software architecture of the system along with a complete component design. The implementation at the first instance is executed inside a hospital room with dimensions of 13.5m X 17.5m and will be later carried forward in the entire hospital premises. The equipments will be further watched upon continually using a proposed novel software application. © 2022 IEEE.

关键词： Triangulation

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Optimizing Traffic Flow and Pedestrian Safety: The Role of Crosswalk Distance in Roundabout Design 1

Optimizing Traffic Flow and Pedestrian Safety: The Role of C...

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1st International Conference on Global Aeronautical engineering and Satellite Technology, GAST 2024

作者： Charef, Ayoub Jarir, Zahi Quafafou, Mohamed Emsi Moroccan School of Engineering Sciences Lamigep Research Laboratory Marrakech Morocco Marrakech Morocco University of Aix-Marseille Department of Computer Science Marseille France

ISBN: (纸本)9798350371598

This research investigates the impact of pedestrian crossings on the speed characteristics and capacity of roundabouts, with a primary focus on enhancing traffic flow. Unsignalized intersections and roundabouts conventionally grant pedestrians priority, which can substantially affect operational efficiency. The paper underscores the vital significance of strategically placing crosswalks to minimize disruptions to vehicular movement and prevent *** study collected data from roundabouts located in Marrakech, Morocco, utilizing mobile devices to record vehicle and pedestrian counts, as well as their passage times. In addition to field data, Vissim simulations were employed to improve precision. Our research specifically delves into how pedestrians influence the capacity of exit lanes at *** central objective is to ascertain the optimal spacing between roundabouts and crosswalks to maximize their capacity. The findings provide valuable insights for urban planning and traffic management, addressing the intricate relationship between pedestrian flow, crosswalk placement, and the overall efficiency of roundabouts. © 2024 IEEE.

关键词： Crosswalks

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Impact of PON network range and laser power on GPON and XGSPON coexistence system 8

Impact of PON network range and laser power on GPON and XGSP...

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8th IEEE International Conference on Image and Signal Processing and their Applications, ISPA 2024

作者： Kherici, Cheikh Kandouci, Malika Bechikh, Amel Benhamidi, Aicha Laboratory of Electromagnetism Photonics and Optronics L.E.P.O Faculty of Mathematics and Computer Science Computer Science Department Sidi Bel Abbes Algeria Ibn Khaldoun University of Tiaret Tiaret Algeria Laboratory of Electromagnetism Photonics and Optronics L.E.P.O Faculty of Electrical Engineering Electronics Department Sidi Bel Abbes Algeria Djillali Liabes University of Sidi Bel Abbes Sidi Bel Abbes Algeria Ibn Khaldoun University of Tiaret Faculty of Mathematics and Computer Science Computer Science Department Tiaret Algeria

ISBN: (纸本)9798350309249

This article discusses the effect of laser emission power and PON network range when GPON and XGSPON systems coexist. The analysis aims to understand how these two factors influence the overall performance and stability of the coexistence between the two optical network technologies. In order to also meet the increasing demand for data rates and new services such as videoconferencing and very high-quality television (4K, 6K,...etc). the coexistence system is preferred, allowing effective collaboration between GPON and XGSPON *** work deals with the performance evaluation of GPON and XGSPON systems, focusing on reconciliations and adjustments related to BER error rates and Q factor. The study explores different scenarios by adjusting the laser power from -12 dBm to 12 dBm and varying the array range from 10 km to 120 km. The main objective is to determine the best combination of laser power and network range to ensure optimal performance for coexistence systems. © 2024 IEEE.

关键词： Q factor measurement

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Mindful Breathing Coaches Using IoT-Integrated AI Systems for Personalized Anxiety Relief 1

Mindful Breathing Coaches Using IoT-Integrated AI Systems fo...

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1st International Conference on Innovations in Communications, Electrical and computer engineering, ICICEC 2024

作者： Dhal, P.K. Sivakumar, T. Vasudevan, B. Lakshmi, V.T. Muthaiyan, Baskar Murugan, S. Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electrical and Electronics Engineering Tami Nadu Chennai India Sri Eshwar College of Engineering Department of Computer Science and Engineering Tamil Nadu Coimbatore India SRM Institute of Science and Technology Department of Electronics and Communication Engineering Kattankulathur Tamil Nadu Chennai India Department of Mathematics Tamil Nadu Salem India Rajalakshmi Institute of Technology Department of Computer Science and Engineering 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

ISBN: (纸本)9798350376517

The proposed system focuses on personal anxiety alleviation through mindful breathing coaching, which investigates the use of Artificial Intelligence (AI) systems combined with the Internet of Things (IoT). Treatments for anxiety disorders should be easily available because of how common and crippling they are. The proposed solution integrates IoT devices with AI algorithms to provide personalized instructions for mindful breathing exercises and real-time tracking. Using a mixed-methods strategy, quantitative and qualitative user experiences and anxiety levels are analyzed. Anxiety symptoms were significantly reduced, and users were very satisfied with the tailored coaching, according to preliminary studies. There are scalable solutions to individual anxiety requirements that can be provided by integrating IoT and AI technology. It emphasizes the potential of technology to promote well-being and helps advance individualized therapies for mental health. It shows that it is possible to provide effective personalized anxiety reduction. By providing individualized assistance to those dealing with anxiety problems, this method has the potential to completely transform the way mental health treatment is provided. © 2024 IEEE.

关键词： Electronic health record

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Artificial intelligence and emotional intelligence in the workplace: Their roles and effects for industry 4.O 2

Artificial intelligence and emotional intelligence in the wo...

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2nd IEEE International Conference on IoT, Communication and Automation Technology, ICICAT 2024

作者： Bhatia, Sonakshi Rawat, Babita Thapliyal, Nitin Tiwari, Rohak Kumar, Santosh Joshi, Kapil Kumar, Arun Uttaranchal University UIM Dehradun India Graphic Era Hill University Department of Computer Science and Engineering Dehradun India DPS RK Puram Delhi India Sharda University Greater Sharda School of Basic Sciences and Research Department of Mathematics UP Noida201310 India Uttaranchal University Department of Computer Science & Engineering Dehradun India

ISBN: (纸本)9798350368109

Automation and digitization are the key components of Industry 4.0, which is also considered to as the fourth industrial based revolution, but more significantly, it is a turbulent, unpredictable, and unsettling time. People are always reluctant and resistant when industry adopts new technology or automation because they are afraid of change. Change is inevitable, but what matters is how well we can adapt to it. Only those businesses who can foresee changes in the future and plan accordingly will endure and develop throughout time. Although every division of an organization will be affected by industry 4.0, the influence on human resources will be the greatest. Massive benefits of the fourth industrial revolution include a more individualized job-searching experience for prospects. The ability to identify, understand, regulate, and utilize one's own emotions as well as those of those around one can be defined as Emotional Intelligence (EI). EI is an important interpersonal communication ability that has gained interest in a variety of fields, including the workplace. Artificial intelligence is a field that combines large datasets and computer science to make problem solving easier. As we enter the industry 4.0 of automation through robotics, artificial intelligence (AI) will immediately have an impact on jobs in several industries. The purpose of this paper is to investigate the potential impact that artificial intelligence (AI) and emotional intelligence (EI) may have on workers' experiences at work., as well as the influence of EI on improving the workforce for Industry 4.0. Finally, we discuss the effects of AI and EI in the workplace of Industry 4.0. © 2024 IEEE.

关键词： Resource valuation

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Ecosystem of Technologies for Smart Agriculture to Improve the Efficiency and Profitability of Indian Farmers 10

Ecosystem of Technologies for Smart Agriculture to Improve t...

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17th INDIACom;2023 10th International Conference on Computing for Sustainable Global Development, INDIACom 2023

作者： Sugandh, Urvashi Nigam, Swati Khari, Manju Banasthali Vidyapith Faculty of Mathematics and Computing Department of Computer Science Banasthali India School of Computing Science Engineering Galgotias University Uttar Pradesh Greater Noida India School of Computer and System Sciences Jawaharlal Nehru University New Delhi India

ISBN: (纸本)9789380544472

An increasing population demands more food, but the available resources are shrinking. The agriculture sector in India is facing several challenges such as climate change, water scarcity, soil degradation, and declining farm profitability. To address these challenges, there is a growing need for the adoption of smart agriculture practices that leverage technology. This paper presents an overview of the ecosystem of technologies for smart agriculture and their potential to improve the efficiency and profitability of Indian farmers. The paper explores the role of various technologies such as precision agriculture, IoT, artificial intelligence, drones, and robotics in improving crop yields, reducing input costs, and enhancing overall farm management. Additionally, the paper discusses the challenges that need to be overcome to ensure the successful adoption of smart agriculture technologies in India. These include the lack of awareness and access to technology, inadequate infrastructure, and limited availability of financing. The paper concludes that the ecosystem of technologies for smart agriculture holds significant promise for Indian farmers to overcome the challenges and improve the efficiency and profitability of their farms. © 2023 Bharati Vidyapeeth, New Delhi.

关键词： Profitability

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Testing the Structural Equivalence of Pre-processed Chronic Pain MRI Data 6

Testing the Structural Equivalence of Pre-processed Chronic ...

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6th International Conference on Devices, Circuits and Systems, ICDCS 2022

作者： Rejula, V. Anitha, J. Belfin, R.V. Karunya Institute of Technology and Sciences Department of Computer Science of Engineering Coimbatore India

ISBN: (纸本)9781665480949

The use of functional magnetic resonance imaging (fMRI) to investigate the brain correlates of cognition has grown more important in recent years. fMRI is a non-invasive way of detecting patterns in brain activity induced by tasks done during scanning. Despite the technique's lengthy history, the distinct properties of each dataset have forced the adoption of custom preprocessing techniques for each sample. This approach is inefficient, prone to errors, and unfit for combining data from many sources. Preprocessing the functional magnetic resonance imaging (fMRI) data requires various processes to clean and standardise the data before any further research. The fMRIPrep (http://***) specification describes a thorough approach for preprocessing human fMRI data for data analysis, which has been standardised as a pipeline. The Chronic Pain data was preprocessed using this fMRIPrep. We compare the chronic pain MRI data to the healthy control data after preprocessing the anatomical and functional data received from the MRI. The structural similarity index (SSIN) is used to find structural differences between chronic pain patients and healthy controls. The findings show that the structures of healthy and chronic pain regulation are quite similar. © 2022 IEEE.

关键词： Brain Pain Pipelines Machine learning Functional magnetic resonance imaging Regulation Physiology

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A Novel Blockchain-Based Strategy for Energy Conservation in Cognitive Wireless Sensor Networks 4

A Novel Blockchain-Based Strategy for Energy Conservation in...

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4th International Conference on Blockchain Technology and Information Security, ICBCTIS 2024

作者： Sharma, Khemraj Goyal, Rohit Bhagat, Sukesh Kumar Agarwal, Sheenu Bisht, Girish Singh Hussien, Mohemmed Nanhua University Department of Business Administration Doctoral Program in Management Sciences Dalin62248 Taiwan School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India Uttaranchal University Department of Computer Science & Engineering Dehradun India Uttarakhand Technical University Department of Electronics and Communication Engineering Dehradun India Tula's Institute Dehradun India Department of Computer Science and Engineering Dehradun248001 India The Islamic University Najaf Iraq

ISBN: (纸本)9798331528324

Internet of Things (IoT) industrial applications have increased in internet-connected devices. As a result, accessibility, scalability, connectivity, and adaptability have become major challenges. It is possible to create connections between loT devices over the wireless medium, but efficiently utilizing scarce spectrum is the biggest concern. The paper proposes a novel method for selecting sensing nodes with the goal of reducing energy usage and increasing sensing efficiency. In order to ensure that node trust values conform to each other without any ambiguity, cryptography encrypts all information that relates to a node in a central node (CN). Nodes participating in CSS are selected based on their performance. Based on a comparison of various algorithms using varying numbers of nodes, the proposed algorithm achieves a 10% sensing efficiency. © 2024 IEEE.

关键词： Blockchain Network Network Communication security Wireless Sensor

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Comprehensive Overview of Gas and Bio-Sensors Enabling Artificial Intelligence in Healthcare

Comprehensive Overview of Gas and Bio-Sensors Enabling Artif...

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Artificial Intelligence in Education and Industry 4.0 (IDICAIEI), DMIHER International Conference on

作者： Yashasvi Raut Shiv Nath Chaudhri Department of Computer Science and Engineering Faculty of Engineering and Technology DMIHER (DU) Maharashtra India Department of Computer Science and Design Faculty of Engineering and Technology DMIHER (DU) Maharashtra India

ISBN: (数字)9798331528713

ISBN: (纸本)9798331528720

Gas and biosensors are crucial in the modern healthcare system, enabling non-invasive monitoring and diagnosis of various medical conditions. These sensors are used in various applications, including smart home health monitoring devices and critical care units. Common non-imaging sensor types include gas or VOC sensors, diagnostic ECG sensors, blood glucose sensors, pulse oximeters, blood pressure sensors, body temperature sensors, EEG sensors, accelerometers, and imaging sensors like X-rays, MRIs, CT scans, and ultrasounds. Healthcare-related sensors offer numerous advantages, including diagnosing and treating medical conditions, monitoring vital signs, enabling remote patient monitoring, personalized healthcare, and early detection and prevention. However, issues like data accessibility, privacy, comfort, security, and accuracy must be considered when installing sensors in homes. Efficient data sharing and analysis require devices, sensors, and platforms to communicate effectively. Real-time data processing is essential for prompt diagnosis and intervention. In this article, we have put it briefly: medical sensors are transforming the way we track, identify, and manage adverse health conditions.

关键词： Temperature sensors Image sensors Medical conditions Ultrasonic imaging X-rays Sensors Biosensors Artificial intelligence Intelligent sensors Gas detectors

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