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Electrical, computer and Energy Technologies (ICECET), International Conference on

作者： Majid Yahagh Farhad A. Boroumand Organic Electronics Lab Electronics Group Faculty of Electrical and Computer Engineering K.N. Toosi University of Technology Tehran Iran Organic Electronics Lab Electronics Group Materonics and Materionics Research Group Faculty of Electrical and Computer Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (数字)9798350395914

ISBN: (纸本)9798350395921

In this study, three types of polymer-based, perovskite and dye-sensitized solar cells have been fabricated and simulated. Then, these three structures are compared in terms of output parameters such as efficiency, fill factor, fabrication methods and etc. In the fabrication of the polymer-based solar cell with Al / MEH-PPV:ZnO np / PEDOT:PSS / ITO structure, in the perovskite solar cell with Au / Spiro-OMeTAD / CH 3 NH 3 PbI 3 / TiO 2 / FTO structure and for the dye-sensitized solar cell with Pt / Electrolyte/ TiO 2 -N719 / FTO structure by the spin-coating and Dr. Blade method is used. The simulation of these three structures has been done using two software, Comsol Multiphysics and Silvaco. According to the results of experimental characterizations, the efficiency for the polymer-based solar cell is η exp = 0.74%, the perovskite η exp =8.66% and for the dye-sensitized η exp =6.07%. Also, according to the simulation results, the efficiency for the polymer-based solar cell is η comsol =1.1%_η silvaco =0.73%, the perovskite η comsol = 6.06%_η silvaco = 8.6% and for the dye-sensitized η comsol =1.4%_η silvaco =1.74%. According to the results of this study, the Perovskite solar cell is the most suitable cell in terms of efficiency and, of course, has a higher manufacturing cost than the other two types.

关键词： Costs Spontaneous emission Absorption Photovoltaic cells Optical device fabrication Voltage Perovskites Software Titanium dioxide Optical polymers

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A Parallel and Asynchronous Blob Shape Descriptor Implemented in CMOS technology 33

A Parallel and Asynchronous Blob Shape Descriptor Implemente...

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33rd IEEE International Conference on Microelectronics, MIEL 2023

作者： Bogacki, P. Dlugosz, M. Talaska, T. Dlugosz, R. Aptiv Services Poland Kraków30-399 Poland Agh University of Science and Technology Institute of Telecommunications Faculty of Computer Science Electronics and Telecommunications Kraków30-059 Poland Poznan University of Technology Faculty of Control Robotics and Electrical Engineering Institute of Automation and Robotics Division of Signal Processing and Electronic Systems Poznan60-965 Poland Bydgoszcz University of Science and Technology Faculty of Telecommunication Computer Science and Electrical Engineering Bydgoszcz85-796 Poland

ISBN: (纸本)9798350347760

The paper presents a family of novel light blob shape descriptors for use in selected active safety algorithms used in Advanced Driver Assistance Systems (ADAS). One of the motivations was to obtain a descriptor that would ensure low computational complexity. This makes it easy to implement both in software and hardware. One assumption is that the location of the center of a given light spot is approximately known. The principle of its operation is then to count white pixels in selected directions, starting from this central point. A key issue here is an efficient way of determining indexes of particular pixels belonging to the image patch, as well as the location of points representing places where the white area turns into black. In the case of a hardware implementation, this can be done using a parallel circuit operating in asynchronous mode, without the need for a control clock. © 2023 IEEE.

关键词： Pixels

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Decision Transformer-Powered Traffic Control System 11

Decision Transformer-Powered Traffic Control System

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11th International Japan-Africa Conference on electronics, Communications, and Computations, JAC-ECC 2023

作者： Nawar, Mahmoud Saad, Abdallah Elhalawany, Basem M. Fares, Ahmed Kuwait College of Science and Technology Doha District93004 Kuwait Benha University Faculty of Engineering at Shoubra Cairo Egypt The School of Electronics E-JUST University Communication and Computer Engineering New Borg El-Arab City Egypt

ISBN: (纸本)9798350369328

Today, traffic congestion presents a real challenge in urban areas, with consequences beyond affecting commuters by increasing travel times and causing frustrating experiences. There has been consistent research using reinforcement learning methods to approach this issue. This manuscript considers a shift in this direction and proposes a novel intelligent controller based on a GPT-based decision transformer. Using transformer models will open significant opportunities for exploiting the available pre-trained transformer models. This paper prepared an offline dataset using the DQN agent and published it online, followed by training a decision transformer. The evaluation results show that the proposed method outperforms the DQN agent used for gathering the dataset;this manifests that transformers are promising in revealing knowledge that reinforcement learning agents cannot discover during their interaction with the environment. © 2023 IEEE.

关键词： Traffic congestion

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Design and Characterization of the Output Network of a High-Current Buck Converter 46

Design and Characterization of the Output Network of a High-...

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46th ICT and electronics Convention, MIPRO 2023

作者： Solaja, Kresimir Blecic, Raul Broznic, Andro Baric, Adrijan University of Zagreb Faculty of Electrical Engineering and Computing Department of Electronics Microelectronics Computer and Intelligent Systems Zagreb Croatia Rimac Technology d.o.o./Embedded Hardware Sveta Nedelja Croatia

ISBN: (纸本)9789532331042

A 10-A automotive buck converter is designed and realized on a four layer printed circuit board. The output network is designed in the electromagnetic solver to account for the trace and package parasitic elements. The output network of the converter is simulated in the SPICE solver. The converter is characterized in the time domain by the load transient measurements and in the frequency domain by the shunt measurement method. Three configurations of the output network are compared. The results in the frequency domain and the results of the SPICE simulations are correlated. © 2023 MIPRO Croatian Society.

关键词： Time domain analysis

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Dual-Stage Interleaved On-board Charger for Electric Vehicle using Snow Geese Algorithm 4

Dual-Stage Interleaved On-board Charger for Electric Vehicle...

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4th International Conference on Sentiment Analysis and Deep Learning, ICSADL 2025

作者： Chandrashekhar, A. Mallikarjuna, B. Thiyagesan, M. Umasankar, L. Ezhil, G. Devi, Rukmani Icfai Foundation for Higher Education Faculty of Science and Technology Department of Mechanical Engineering Telangana Hyderabad501203 India Rns Institute of Technology Department of Electrical and Electronics Engineering Karnataka Bengaluru560098 India R.M.K Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai601206 India S. A. Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai600077 India Bannari Amman Institute of Technology Department of English Tamil Nadu Sathyamangalam638401 India Saveetha College of Liberal Arts and Sciences Simats Deemed to Be University Department of Computer Science Tamil Nadu Chennai602105 India

ISBN: (纸本)9798331523923

The growing demand for electric vehicles (EVs) has highlighted the need for efficient and reliable on-board chargers (OBCs) to reduce charging time and enhance battery life. Nevertheless, there are some issues in classic OBC designs: harmonic distortion may become too large, electromagnetic interference increases, and thermal management is not proper;all of which directly affects other elements of the system. As an optimization approach to enhance the performance of the dual-stage interleaved on-board charger (OBC) for electric vehicles (EVs), this work introduces the Snow Geese Algorithm (SGA). The objective of the proposed method is to enhance charging efficiency and minimize cost. The proposed SGA is used to optimize the dual-stage interleaved converter, focusing on reliable performance and effective operation within EV charging systems. The suggested approach is then put into practice on the MATLAB platform and contrasted with a number of current techniques, including Artificial Bee Colony (ABC), Simulated Annealing (SA), Multi-objective Genetic Algorithm (MOGA), and Particle Swarm Optimization (PSO). The proposed SGO method for dual-stage interleaved EV chargers achieves a cost of 1,050.80 and an efficiency of 97.2 %, demonstrating its effectiveness in reducing expenses while maximizing optimization performance in charging systems. © 2025 IEEE.

关键词： Simulated annealing

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Fortifying Database Security: Integrating Advanced Honeypot technology for Resilient SQL Injection Defense

Fortifying Database Security: Integrating Advanced Honeypot ...

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2024 International Conference on Communication, computer Sciences and engineering, IC3SE 2024

作者： Kumaran, U. Swetha, Thammisetty Reddy, G. S. N. Santhosh Ala, Harini Nagarajan, Senthil Murugan Umah, B. Amrita School Of Computing Department Of Computer Science & Engineering Amrita Vishwa Vidyapeetham Bengaluru India Andhra Pradesh Madanapalle India Amrita School Of Engineering Amrita Vishwa Vidyapeetham Department Of Electronics And Communication Engineering Karnataka Bengaluru India University Of Luxembourg Department Of Mathematics Faculty Of Science Technology And Medicine L-4365 Luxembourg Amrita School Of Engineering Amrita Vishwa Vidyapeetham Department Of Computer Science & Engineering Karnataka Bengaluru India

ISBN: (纸本)9798350366846

The dynamic nature of cyber threats necessitates the development of novel approaches to strengthen database system security. The novel method for fortifying defenses against SQL injection attacks - a pervasive and ongoing danger in the field of cybersecurity - is presented in this study. The suggested methodology creates a strong and adaptable defense mechanism by seamlessly integrating cutting-edge honeypot technology with current SQL injection mitigation techniques. Our approach, which we have named HoneySQLGuard, uses carefully con- structed honeypot tables inside the database system. These tables serve as sly bait, drawing potential attackers' attention away from genuine data and toward themselves. By utilizing the most recent developments in technology, Honey SQL Guard surpasses the limitations of conventional signature-based detection techniques and is able to adjust to changing attack strategies via anomaly and machine learning. The honeypot tables are cleverly incorporated within the database architecture, making them invisible to an outside observer when compared to real tables. The technology immediately recognizes and isolates unusual behavior suggestive of SQL injection attempts by closely monitoring and analyzing query patterns. Furthermore, HoneySQLGuard has real-time reporting and alerting functions that guarantee an early reaction to any possible intrusions. Extensive testing is conducted to validate the effectiveness of the proposed solution, which shows it can dramatically lower the success rate of SQL injection attacks while keeping false-positive rates low. This study advances the subject by providing a thorough and flexible method for fortifying databases against SQL injection attacks, in line with the industry's increasing demand for robust cybersecurity defenses. © 2024 IEEE.

关键词： Database systems

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Personalized Care for Multiple Sclerosis with IoT Wearables and Deep Learning

Personalized Care for Multiple Sclerosis with IoT Wearables ...

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2024 Asian Conference on Intelligent Technologies, ACOIT 2024

作者： Vetriselvi, D. Sampathrajan, Rajeshkumar Deepa, A. Sujatha, V. Deepa, P. Pandi Murugan, S. Department of Computing Technologies School of Computing Faculty of Engineering and Technology SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai India McKinsey & Company Fort WorthTX United States Department of Computer Science and Engineering Sathyabama Institute of Science and Technology Tamil Nadu Chennai India Department of Electronics and Communication Engineering Shree Sathyam College of Engineering and Technology Tamil Nadu Salem India Department of Artificial Intelligence and Data Science Agni College of Technology Tamil Nadu Chennai India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798350374933

This research work presents a new method for improving individualized treatment for patients with Multiple Sclerosis (MS) by combining Internet of Things (IoT) wearables with deep learning (DL) methods, namely Long Short-Term Memory (LSTM) networks. MS is a long-term autoimmune disorder that affects the central nervous system. It is marked by unexpected episodes of worsening symptoms and periods of improvement, highlighting the need for tailored therapy. The widespread use of IoT devices presents unique possibilities for the ongoing monitoring of many physiological and activity measurements important to the development and symptoms of MS. Using LSTM networks, which are very proficient in analyzing temporal sequences, create a prediction model that may anticipate exacerbations of MS symptoms and customize therapies appropriately. Through the analysis of longitudinal data obtained from IoT devices, our model acquires knowledge about unique patterns of illness development and treatment response. This knowledge allows us to create customized care plans for individuals. These paths include proactive activities such as adjusting medication, making lifestyle changes, and seeking early medical advice. The goal is to reduce the worsening of symptoms, improve the quality of life, and optimize treatment results for individuals with MS. The proposed method shows potential for transforming the treatment of MS by offering proactive and patient-centered therapy adaptable to individual requirements and the dynamics of the illness. © 2024 IEEE.

关键词： Patient treatment

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Design and Simulation of Ring Network-on-Chip for Different Configured Nodes

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computers, Materials & Continua 2022年第5期71卷 4085-4100页

作者： Arpit Jain Rakesh Kumar Dwivedi Hammam Alshazly Adesh Kumar Sami Bourouis Manjit Kaur Faculty of Engineering&Computer Sciences Teerthanker Mahaveer UniversityMoradabadUttar Pradesh244001India Faculty of Computers and Information South Valley UniversityQena83523Egypt Department of Electrical and Electronics Engineering School of EngineeringUniversity of Petroleum and Energy StudiesDehradun248007India Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia School of Engineering and Applied Sciences Bennett UniversityGreater Noida201310India

The network-on-chip(NoC)technology is frequently referred to as a front-end solution to a back-end *** physical substructure that transfers data on the chip and ensures the quality of service begins to collapse when the size of semiconductor transistor dimensions shrinks and growing numbers of intellectual property(IP)blocks working together are integrated into a *** system on chip(SoC)architecture of today is so complex that not utilizing the crossbar and traditional hierarchical bus *** connectivity reduces the amount of hardware required for routing and functions,allowing SoCs with NoC interconnect fabrics to operate at higher ***(Octagons)is a direct NoC that is specifically used to solve the scalability problem by expanding each node in the shape of an *** paper discusses the ring NoC design concept and its simulation in Xilinx ISE 14.7,as well as the communication of functional *** the field-programmable gate array(FPGA)synthesis,the performance of NoC is evaluated in terms of hardware and timing *** design allows 64 to 256 node communication in a single chip with‘N’bit data transfer in the ring *** performance of the NoC is evaluated with variable nodes from 2 to 256 in Digilent manufactured Virtex-5 FPGA hardware.

关键词： Ring NoC FPGA synthesis nodes communication SoC design integrated synthesis environment

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User-Centric Drink Customization with Cloud-Powered Collaborative Filtering with Raspberry Pi Integration 11

User-Centric Drink Customization with Cloud-Powered Collabor...

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11th International Conference on Reliability, Infocom Technologies and Optimization, ICRITO 2024

作者： Gowriswari, S. Fathima, S Shafla Joseph Rajan, D. Antony Mohankumar, N. Sasirekha, V. Rajmohan, M. Sri Sairam Engineering College Department of Instrumentation and Communication Engineering Tamil Nadu Chennai India B.S. Abdur Rahman Crescent Institute of Science and Technology Department of Information Technology Tamil Nadu Chennai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Department of Computer Science and Engineering Tamil Nadu Chennai India B.V. Raju Institute of Technology Department of Electronics and Communication Engineering Telangana India Srm Institute of Science and Technology Faculty of Management Studies Tamil Nadu Chennai India Hindustan Institute of Technology and Science Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350350357

This paper proposes an approach for user-centric drink customization by combining Raspberry Pi technology with cloud-powered collaborative filtering. By using collaborative filtering algorithms housed in cloud architecture, the proposed solution seeks to improve the beverage customization experience. A specialized Raspberry Pi interface allows users to input their preferences and comments, which are automatically included in the collaborative filtering mechanism. With the help of this cloud-based system, user data can be processed and analyzed in real time, enabling personalized drink suggestions. Adding Raspberry Pi devices to a system makes it more responsive and makes data processing more localized, which is great for users. The combination of Raspberry Pi with cloud-powered collaborative filtering shows that it can provide a highly customized and adaptable drink experience. This study adds to the growing body of knowledge in cloud-based collaborative filtering and Internet of Things (IoT) applications, and it provides a potential way to improve customer happiness in the beverage business. © 2024 IEEE.

关键词： Collaborative filtering

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Image Enhancement Using Adaptive Fractional Order Filter

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computer Systems Science & engineering 2023年第5期45卷 1409-1422页

作者： Ayesha Heena Nagashettappa Biradar Najmuddin M.Maroof Surbhi Bhatia Arwa Mashat Shakila Basheer Department of Electronics and Communication Engineering Bheemanna Khandre Institute of TechnologyBhalkiVisveswaraya Technological UniversityBelagaviIndia Department of Electronics and Communication Engineering Khaja Banda Nawaz College of EngineeringVisveswaraya Technological UniversityBelagaviIndia Department of Information Systems College of Computer Sciences and Information TechnologyKing Faisal UniversityAl-HofufAl-AhsaSaudi Arabia Faculty of Computing&Information Technology King Abdulaziz UniversityP.O.Box 344Rabigh21911Saudi Arabia Department of Information Systems College of Computer and Information Science Princess Nourah bint Abdulrahman UniversityP.O.BOX 84428Riyadh11671Saudi Arabia

Image enhancement is an important preprocessing task as the contrast is low in most of the medical images,Therefore,enhancement becomes the mandatory process before actual image processing should *** research article proposes an enhancement of the model-based differential operator for the images in general and Echocardiographic images,the proposed operators are based on Grunwald-Letnikov(G-L),Riemann-Liouville(R-L)and Caputo(Li&Xie),which are the definitions of fractional order *** this fractional-order,differentiation is well focused on the enhancement of echocardiographic *** provoked for developing a non-linear filter mask for image *** designed filter is simple and effective in terms of improving the contrast of the input low contrast images and preserving the textural features,particularly in smooth *** novelty of the proposed method involves a procedure of partitioning the image into homogenous regions,details,and ***,a fractional differential mask is appropriately chosen adaptively for enhancing the partitioned pixels present in the *** is also incorporated into the Hessian matrix with is a second-order derivative for every pixel and the parameters such as average gradient and entropy are used for qualitative *** wide range of existing state-of-the-art techniques such as fixed order fractional differential filter for enhancement,histogram equalization,integer-order differential methods have been *** proposed algorithm resulted in the enhancement of the input images with an increased value of average gradient as well as entropy in comparison to the previous *** values obtained are very close(almost equal to 99.9%)to the original values of the average gradient and entropy of the *** results of the simulation validate the effectiveness of the proposed algorithm.

关键词： Adaptive filter differential filter enhancement mask fractional differential mask fractional-order calculus hessian matrix

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