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Nine-Level Multilevel Inverter with Low Switching Count and Voltage Stress for Solar Photovoltaic application 3

Nine-Level Multilevel Inverter with Low Switching Count and ...

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3rd ieee International Conference on Sustainable Energy and Future Electric Transportation, SeFet 2023

作者： Ahmad, Shahbaz Tariq, Mohd Verma, Vimlesh Aligarh Muslim University Zhcet Department of Electrical Engineering Aligarh202002 India National Institute of Technology Department of Electrical Engineering Bihar Patna800005 India

ISBN: (纸本)9798350319972

MLIs, or multilevel inverters, are increasingly a crucial component for medium-voltage, high-power applications. Because to its high efficiency, low cost, and simplicity of control for an output with a greater number of levels, MLIs with fewer switches are more often used. In order to provide a 9-level output voltage, an improved multilevel inverter topology with two DC sources and fewer switches is shown in this work. Studies comparing the proposed MLI structure to recently suggested MLIs demonstrate its significance in terms of decreased switch count and lower voltage stresses across switches in these symmetrical designs. Seven switches, including one bidirectional switch, are employed in this configuration. Comparing the suggested topology to existing series and topologies reveals that it has fewer devices and an excellent efficiency of about 98.5%. Further generalized for n-level output voltages is the proposal topology. The suggested topology has been operationally and functionally simulated using PLECS and MATLAB (SIMULINK) software, and its experimental validation is also being carried out on the setup. applications for the suggested topology include grid-connected systems, motor drives, and renewable energy systems. © 2023 ieee.

关键词： Topology

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The Integration of Stream Data Models in Modern Transportation Networks 3

The Integration of Stream Data Models in Modern Transportati...

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3rd ieee International Conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Naval, Preeti Jain, Sandeep Kumar Krishna, K. Gopala Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh India Vivekananda Global University Department of Electrical Engineering Jaipur India Faculty of Engineering and Technology Department of Electronics and Communication Engineering Karnataka562112 India

ISBN: (纸本)9798350343274

The study proposal proposes an innovative strategy for managing modern transport networks, with an emphasis on the coordinated use of analytics, real-time data processing, and dynamic decision-making utilizing stream data models. To create a solid infrastructure for real-time data analysis, it is required to use a diverse set of data sources, such as sensors, GPS devices, traffic cameras, and mobile application software. A strategy for reaching this goal is described below. The real-time system that integrates transportation models, artificial intelligence, and data mining is at the core of this strategy. In addition to monitoring and assessment, one of the key responsibilities of this system is to develop the transportation network. Without this framework as a foundation, the method would be worthless. This collaborative effort provides proactive traffic control, efficient route planning, and event prediction in real time. The application of machine learning in predictive analytics and traffic analysis, which together give solid traffic forecasts, prompts the creation of tactics that cut wait times and enhance productivity. Event detection algorithms are critical for ensuring commuter safety and reducing wait times in the event of an emergency. Using cloud-hosted data processing technologies, the idea manages massive amounts of real-time data. This is critical for data collection, processing, and storage methods. Finally, we believe that the development of an intelligent transportation networkone that can continually learn, adapt, and drive itselfwill result in less traffic, more safety, shorter travel times, and environmentally friendly legislation and practices. To address the ever-increasing demands placed on dynamic urban settings, it is believed that the technique developed would transform current transport networks into more responsive, user-friendly, and efficient systems. © 2023 ieee.

关键词： Real time systems

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Performance Assessment of Capacitive Power Transfer in Water with Varied Conductivity 3

Performance Assessment of Capacitive Power Transfer in Water...

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3rd ieee International Conference on Industrial Electronics for Sustainable Energy systems, IESES 2023

作者： Sun, Zhichao Wang, Yijie Li, Tao Mai, Jianwei Zeng, Ming Xu, Dianguo School of Electrical Engineering & Automation Harbin Institute of Technology Harbin China

ISBN: (纸本)9798350324754

This paper investigates two types of insulated capacitive couplers, parallel and stacked, that can be applied to underwater capacitive power transfer (CPT). The two four-plate capacitive couplers are sealed into an insulating medium to reduce the additional losses caused by ion displacement currents when transmitting electrical energy in underwater electric fields. Finite element analysis using 3D RLCG extraction tool Q3D was performed to simulate the coupling parameters of the couplers. The variation law of coupling parameters of couplers in water with different conductivity was studied using and it was found that parallel insulated couplers have good potential for application in high conductivity water. At the same time, the misalignment tolerance of the coupler in different conductivity water media is analyzed, and the coupling parameters are little affected by the parallel movement of the pole plate, and the coupler still has good anti-misalignment performance in the x-y plane. The prototype design of the CPT system uses the above two insulated couplers, and the performance of the system in high conductivity water environment is initially verified by using circuit simulation software. © 2023 ieee.

关键词： Circuit simulation

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Intellihealth - A Secured Decentralized Electronic Health Record System using Blockchain 3

Intellihealth - A Secured Decentralized Electronic Health Re...

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3rd ieee International Conference on Blockchain and Distributed systems Security, ICBDS 2024

作者： Parshionikar, Sangeeta Verulkar, Aarush Katkar, Ashay Fr. Conceicao Rodrigues College of Engineering Department of Computer Engineering Mumbai India

ISBN: (纸本)9798350354348

Intellihealth is an electronic health record system that operates online with a decentralized structure, setting it apart from conventional systems that store data locally. This decentralized approach relies on blockchain technology to ensure the security of patient data. Within this system, patients can easily access their medical information, including their history, prescriptions, and recommendations, but they are not granted editing privileges. Doctors, on the other hand, can add reports, access patient medical histories, and offer medical advice. Every transaction requires the consent of both parties involved. The system's owner, typically a hospital representative, has the authority to add patients and doctors to the database. Upon logging in, patients are assisted by a chatbot to navigate the system effectively. Additionally, a predictive analysis system featuring various machine learning models has been integrated. This allows patients to upload medical reports, such as X-rays and MRI scans, for the detection of diseases like pneumonia or brain tumors, providing them with a preliminary diagnosis. Intellihealth is a web application compatible with all major web browsers. It utilizes Angular with TypeScript for the front-end, IPFS for the database, Django with python for Back-end and blockchain software like Truffle and Ganache. Account sign-in on the decentralized platform is facilitated through a Metamask wallet and is linked to the user's Aadhar Number as the primary identifier. © 2024 ieee.

关键词： Electronic health record

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application of optimized deformable convolution in underwater biological detection algorithm 3

Application of optimized deformable convolution in underwate...

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3rd International symposium on Computer applications and Information systems, ISCAIS 2024

作者： Zhuang, Hongwei Liu, Weisheng School of Computer and Software Engineering Liaoning University of Science and Technology Liaoning Anshan China

ISBN: (纸本)9781510681316

Underwater target detection is an important method for marine life detection. However, the accuracy of target detection and recognition is affected by the problems of image occlusion, blurred water quality and complex background of underwater targets. An improved YOLOV7 underwater biological target detection method is proposed to address the above problems. Firstly, the DCN structure is improved by incorporating the residual structure into the DCN, with new jump connections and 1×1 convolutional branches, so that the network can learn the residual information between the input and the output. It can improve the expressive ability of the model, reduce the number of parameters, and enhance the adaptability to the shape of the object. Finally, COT3 is integrated, which utilises a self-attention mechanism to weight the input feature maps so that the model can focus on important contextual information around the target and improve the model's ability to handle complex scenes. The experimental results show that the improved YOLOv7 model achieves an average detection accuracy mAP value of 80.4%, which is 2.8% higher than the original algorithm, and the algorithm is better than the original YOLOv7 algorithm in terms of detection accuracy and speed, which is more suitable for the detection of underwater targets. © 2024 SPIE.

关键词： Water quality

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Research on dual stage pipeline MCU based on RISC-V on FPGA 3

Research on dual stage pipeline MCU based on RISC-V on FPGA

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3rd International symposium on Computer applications and Information systems, ISCAIS 2024

作者： Li, Yujie Qiao, Zuo Liang, Wei Li, Lingjie Zhang, Haokang Zhang, Xiaodong Shen, Chong School of information and communication engineering Hainan University Haikou China School of Electronic Science and Technology Hainan University Haikou China

ISBN: (纸本)9781510681316

In response to the application requirements of low-power and high-performance MCU, this paper proposes a low-power microcontroller based on RISC-V instruction set and Dual stage pipeline architecture using a software hardware collaborative design method. It adopts a sequential Dual stage pipeline structure and supports configurable RV32I instruction set. The processor is designed using the comprehensible Verilog language and uses the ICB bus protocol as the interconnect bus to construct a System on Chip (SoC). In a simulation environment, the logic function of the microcontroller is verified by writing and inputting RV32I assembly instructions to test the program. After adding constraints under the Vivado synthesis tool, the processor RTL code is logically synthesized and the utilization of processor hardware resources is analyzed. Finally, the synthesized stream file is downloaded to the Artix7-100T FPGA chip development board. The verification results show that the designed microcontroller has correct logic function, uses low hardware overhead, and achieves relatively high performance indicators, which is suitable for high-performance with cost constraints Low power application areas. © 2024 SPIE ·

关键词： Pipelines

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Video Chat using WebRTC with In-built Sign Language Detection 3

Video Chat using WebRTC with In-built Sign Language Detectio...

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3rd International Conference on Ubiquitous Computing and Intelligent Information systems, ICUIS 2023

作者： Sailesh Kumar, K.L. Srivatsan, M. Sendhan, A. Saran, J.U. Vidhya Sagar, P.V. Vellore Institute of Technology Department of Computer Science and Engineering Vellore India Rajalakshmi Engineering College Department of Computer Science and Engineering Chennai India Rajalakshmi Engineering College Department of Artificial Intelligence and Machine Learning Chennai India

ISBN: (纸本)9798350306989

Many research efforts into video conferencing technology have focused on audio-only interactions. Text chat, on the other hand, has many uses and is often used in conjunction with the audio channel in multimedia conferencing systems because of the many benefits it offers to users in a variety of contexts. Video chat on the other hand has been providing participants to participate not only through voice but also through visual clues, creating a richer and more immersive communication experience. With the development of technology, video chat has transformed how people cooperate and communicate across distances by becoming more accessible and user-friendly. This study details a prototype program that uses video chat with in-built sign language identification to help the hearing-impaired and the speech-impaired. The prototype is constructed from WebRTC to provide realtime communication for the application, on top of which the object detection model from Tensor Flow is integrated to provide hand sign detection and recognition for the user. We focus our testing on the bandwidth and sign language detection needs of customers in order to provide improved support for video chat. We then talk about how this evaluation's findings can inform the evolution of video chatting software. © 2023 ieee.

关键词： Object detection

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Smart Vision software application using Machine Learning 3

Smart Vision Software Application using Machine Learning

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3rd International Conference on Artificial Intelligence and Smart Energy, ICAIS 2023

作者： Alagarsamy, Saravanan Deepak, Prudhivi Lavanya, M. Reddy, T. Gowtham Kedareswari, M. Senthil Kumar, A. Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Anand Nagar Tamilnadu Krishnankoil India Aarupadai Veedu Institute of Technology Department of Mechanical and Engineering Tamilnadu India

ISBN: (纸本)9781665462167

The Smart Vision application's premise is that there are numerous rising new technologies that are excelling in their fields. The following are a few of the technologies or models that are now in use: estimation of human pose, steering angle capture, lane detection, and object detection. These are all the various approaches and superb models created with Open Pose and other tools. Since each of these systems has unique characteristics, it is vital to separately construct each one before comprehending how it works. Because there is no trial version available for consumers to use to learn how the model works, these models must be constructed using codes creating a web application that will enable students to learn about and experience how each model functions by using the camera on their device. For business professionals who can use their own models to run, deploy, and test, not simply for users. Every module on the list has some connection to autonomous navigation. These systems have been combined into a single Web application so that students may easily experiment with them and see how they work in real-time. As a result, this platform presents excellent opportunities for students and enthusiastic learners to interact with the live demo and understand how each model functions. It is believed that the Web application will serve as an excellent tool for students to experiment with and gain a feel for the operation of the aforementioned computer vision models. © 2023 ieee.

关键词： Students

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Design and Implementation of Environmental Monitoring Information Management System Based on Android 3

Design and Implementation of Environmental Monitoring Inform...

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3rd International symposium on Computer applications and Information systems, ISCAIS 2024

作者： Li, Haitao Yao, Yao School of Information Liaoning Vocational University of Technology Jinzhou121007 China

ISBN: (纸本)9781510681316

Environmental monitoring has become a very important link in environmental management and protection. In this paper, an Android-based environmental monitoring information management system has been designed, organically integrating the key processes and resource conditions of environmental monitoring into the system for effective management and control. Furthermore, using mobile design, it has been more efficient, flexible, and convenient. The system is designed in the MVC pattern and divided into five levels: basic layer, data layer, support layer, application layer, and presentation layer, while including five functional modules as follows: business process management, resource management, data management, sample management and system management, achieving automation in environmental monitoring processes and dynamic resource management. The implementation of this system enables environmental monitoring laboratories to enhance the management level, greatly reduce management costs, ensure the accuracy and safety of experimental data, and therefore have great promotion value. © 2024 SPIE.

关键词： Presentation Layer

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Strengthen Aircraft Real-Time Multiple Object Tracking with Optical Flow and Histogram of Oriented Gradient Provided HSMA Implemented in Low-Cost Energy VPU for UAV 3

Strengthen Aircraft Real-Time Multiple Object Tracking with ...

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3rd International Conference on Innovative Research in Applied Science, engineering and technology, IRASET 2023

作者： Mohamed, Benaly Hajar, El Karch Noura, Jariri Rachid, El Gouri Lamaari, Hlou Abdelkader, Mezouari Ibn Tofail University Laboratory of Electronic Systems Information Processing Mechanics and Energetics Faculty of Sciences Kenitra Morocco National School of Applied Sciences Ibn Tofail University Laboratory of Advanced Systems Engineering Kenitra Morocco

ISBN: (纸本)9798350398366

Researchers and algorithm developers have always strived to make tracking more accurate than before, by developing deferents Algorithms that prove their efficiency and effectiveness in international competitions (VOT, MOT challenge,...), but taking care of one side without others may be the reason why limiting the fields of application of that software, which makes them confined only to these competitions or confined to applications domains without others and this is not the end object in itself. For example, the use of complex tracking algorithms in the drone makes the processing unit very slow and unsuitable for real-time tracking, instead that the use of highly efficient processing systems for acceleration consumes a lot of energy, which reduces the time the drone stays in flight. In this paper, we suggest our approach;HashSet Matching Algorithm (HSMA) provided by Optical Flow appearance features and HOG for developing an object-tracking algorithm to address the issue of a complex MOT algorithm for real-time tracking. The MOT challenge data-set experiment results show that the suggested technique can handle object occlusion difficulties successfully while reducing processing time. This algorithm is implemented in the Vision Processing Unit (VPU) to enhance the time flying of UAVs and to ensure low energy consumption. Our approach performs very well in real application scenarios, demonstrating that it is more practical. © 2023 ieee.

关键词： Optical flows

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