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5th International Conference on Computing, Communications, and Cyber Security, IC4S 2023

作者： Pana, Vuyo Babalola, Oluwaseyi P. Balyan, Vipin Department of Electrical Electronics and Computer Engineering Cape Peninsula University of Technology Bellville7535 South Africa

ISBN: (纸本)9789819725496

In this paper, a cell association method for proactively managing bandwidth in 5G fog radio access networks 5G FRANs) by considering user mobility is developed. The proposed method jointly utilises cell identifications (cell-IDs) information and distributions of sojourn time to develop a hidden semi-Markov model (HsMM) for predicting the most appropriate next cell that satisfies downlink rate requirements. Furthermore, the cell that offers the optimal rate is determined based on an optimization solution. The proposed HsMM considers ping-pong effects, missing values, and limited context from wireless networks to understand user mobility patterns. The result shows that the HsMM-based scheme yields a high accuracy performance according to the number of observation time intervals. Also, the proposed scheme produces an improved user satisfactory percentage compared to the existing schemes. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Bandwidth

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Fabrication, Simulation and Comparison of Three Types of Polymer-based, Perovskite and Dyesensitized Solar Cells 4

Fabrication, Simulation and Comparison of Three Types of Pol...

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4th IEEE International Conference on Electrical, computer, and Energy Technologies, ICECET 2024

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

ISBN: (纸本)9798350395914

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 / CH3NH3PbI3 / TiO2 / FTO structure and for the dye-sensitized solar cell with Pt / Electrolyte/ TiO2-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 ηexp = 0.74%, the perovskite ηexp=8.66% and for the dye-sensitized ηexp=6.07%. Also, according to the simulation results, the efficiency for the polymer-based solar cell is ηcomsol=1.1%ηsilvaco=0.73%, the perovskite ηcomsol = 6.06%ηsilvaco = 8.6% and for the dye-sensitized ηcomsol=1.4%ηsilvaco=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. © 2024 IEEE.

关键词： Perovskite

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Multimodal and Multi-Temporal in Satellite Images Based on Flood Detection: A Comparative Study 2

Multimodal and Multi-Temporal in Satellite Images Based on F...

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2nd IEEE International Conference on Data Science and Network Security, ICDSNS 2024

作者： Sonavale, Amruta Chakkaravarthy, Midhun Rao, Surampudi Srinivasa Salleh, Hishamuddin Bin M. Jadhav, Jagannath Lincoln University College Department of Computer Science and Multimedia Malaysia Malla Reddy College of Engineering and Technology Department of Electronics and Communication Engineering Telangana India Kle College of Engineering and Technology Department of Electronics and Communication Engineering Chikodi India

ISBN: (纸本)9798350373110

Floods can cause significant damage to human lives and property, necessitating precise post-flood evaluations for rescue efforts. Methods: It explores flood location AI techniques using a multi-modular and multi-fleeting picture dataset, ranging from traditional methods like multi-facet perceptron (MLP), support vector machine (SVM) and Deep convolution neural network (DCNN) to space transformation-based strategies. We utilized SPOT-5 and RADAR pictures from the November 2000 flood in Gloucester, UK. Results: The F1 score of 0.8846 and the region under the accuracy (AUC) bend (PR) of 0.9173 in the examinations were marginally higher than those that used machine strategies and investment of human resources. Conclusion: Utilizing a multi-modular and multi-temporal image dataset looked at a few customary flood location AI techniques as MLP, SVM and DCNN, to later space transformation-based strategies. This enhancement is due to the 20 labelled data samples used in the domain adaptation- based on semi-supervised domain adaptation (SSDA). © 2024 IEEE.

关键词： Investments

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A Simulation Study of n-ZnO/Perovskite/p-Cu2SnS3 Based Self-Powered Photodetector: Design and optimisation

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Materials Research Innovations 2023年第7期27卷 503-510页

作者： Yadav, Sanjeev Mani Pandey, Amritanshu Department of Electronics and Computer Science National Institute of Advanced Manufacturing Technology Jharkhand Ranchi India Centre for Research in Microelectronics Department of Electronics Engineering IIT-BHU Varanasi India

Perovskite has been widely used in the field of optoelectronics owing to its superb optoelectronic properties. The simplest fabrication along with low-temperature handling of perovskite-based planner structures (p-i-n or n-i-p) has drawn their potential impact in organic–inorganic lead halide optoelectronic devices. The poor conductivity, stability, and high processing cost of absorber materials hinder the optical performance of the device. The sandwiching of the perovskite as absorber materials between two inorganic materials working as electron transport layer (ETL) and hole transport layer (HTL) may be a possible solution. An active absorber perovskite (CH3NH3PbI3) assisted by two n-ZnO and p-CTS materials working as an ETL and HTL, respectively, has been used to maximize the overall performance of the proposed device. The resultant optimized device shows the maximum responsivity of ∼0.35 (A/W) for a broad visible spectrum (300–900 nm), while the EQE (%) reported in the range of 25–80%. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Photodetectors

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Solarsense: Enhancing Energy Efficiency Through Iot-Enabled Solar Tracking 2

Solarsense: Enhancing Energy Efficiency Through Iot-Enabled ...

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2nd IEEE International Conference on Interdisciplinary Approaches in technology and Management for Social Innovation, IATMSI 2024

作者： Thopate, Kaushalya Gawade, Mayuri Kakade, Surabhi Bahir, Suvarna Kulkarni, Mukund Jaiswal, Krishna Nilesh Computer Engineering Vishwakarma Institute of Technology Pune India Artificial Intelligence and Data Science Vishwakarma Institute of Technology Pune India Computer Engineering Trinity Academy of Engineering Pune India Electronics and Telecommunication Vishwakarma Institute of Technology Pune India

ISBN: (纸本)9798350360523

The surging global demand for energy is primarily fueled by a burgeoning world population and elevated living standards. However, with traditional fossil fuels like oil dwindling in availability, there is an urgent need to shift towards renewable energy sources. Given the rapid progress in renewable energy technologies, a key objective of the project is to develop a solar energy tracking panel that can rotate for enhanced power generation. This innovative panel, capable of adjusting its position to optimize energy output by tracking the sun, proves invaluable in monitoring power consumption. The design of this rotatable solar energy tracking panel, incorporating four essential components (solar energy tracking panels, light-dependent resistors (LDRs), an Arduino, and a motor), is intricately explained in this study. This configuration not only serves as an advanced educational tool but also provides engineering technology students with a comprehensive understanding of alternative energy sources like solar power. © 2024 IEEE.

关键词： Fossil fuels

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Hybrid Technique-based Optimal Energy Management in Smart Home Appliances

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IEIE Transactions on Smart Processing and Computing 2024年第5期13卷 425-434页

作者： Shirley, C.P. Depaa, R.A.B. Priya, A. Sarala, R. Solanki, Rajdeep Singh Malini, K.V. Venkatakrishna Reddy, Ch. Department of Computer Science and Engineering Karunya Institute of Technology and Sciences Coimbatore India Department of Civil Engineering Dr. M.G.R Educational and Research Institute Maduravoyal Chennai95 India School of Architecture Koneru Lakshmaiah Educational Foundation Andhra Pradesh Guntur India Department of Computer Science and Engineering Velammal College of Engineering and Technology Madurai Rameshwaram High Road Viraganoor Madurai625009 India Department of Computer Science Medi-Caps University Indore India Department of Electrical and Electronics Engineering Sri Sairam College of Engineering Anekal India Department of Electrical and Electronics Engineering Chaitanya Bharathi Institute of Technology Hyderabad75 India

This manuscript presents a hybrid method for optimal energy management in smart home appliances. The proposed approach combines the Ebola Optimization Search Algorithm (EOSA) with the performance of spiking neural networks (SNN). The key objective of the proposed strategy is cost reduction through day-ahead load scheduling while also considering the best demand response (DR), and self-consumption of photovoltaic (PV). The EOSA method manages air conditioning (AC) and ensures thermal comfort. In addition, the SNN method was used to predict the optimal system control signal. Comparative analysis with existing systems, such as PSO, RFA, and BCO, showed that the proposed strategy resulted in 13% cost savings. The proposed system considered parameters, such as solar radiation, occupant presence, and electricity prices. The proposed technique is implemented in the MATLAB software, and the performance is compared with existing approaches. The efficiency of the proposed approach is higher than the existing techniques. © 2024 The Institute of electronics and Information Engineers.

关键词： Demand response

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Anomaly Detection in Social Media Texts Using Optimal Convolutional Neural Network

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Intelligent Automation & Soft Computing 2023年第4期36卷 1027-1042页

作者： Swarna Sudha Muppudathi Valarmathi Krishnasamy Department of Computer Science and Engineering Ramco Institute of TechnologyRajapalayam626117India Department of Electronics and Communication Engineering P.S.R.Engineering CollegeSivakasi626140India

Social Networking Sites(SNSs)are nowadays utilized by the whole world to share ideas,images,and valuable contents by means of a post to reach a group of *** use of SNS often inﬂicts the physical and the mental health of the ***,researchers often focus on identifying the illegal beha-viors in the SNS to reduce its negative inﬂ*** state-of-art Natural Language processing techniques for anomaly detection have utilized a wide anno-tated corpus to identify the anomalies and they are often time-consuming as well as certainly do not guarantee maximum *** overcome these issues,the proposed methodology utilizes a Modiﬁed Convolutional Neural Network(MCNN)using stochastic pooling and a Leaky Rectiﬁed Linear Unit(LReLU).Here,each word in the social media text is analyzed based on its *** stochastic pooling accurately detects the anomalous social media posts and reduces the chance of overﬁ*** LReLU overcomes the high computational cost and gradient vanishing problem associated with other activation *** also doesn’t stop the learning process when the values are *** MCNN computes a speciﬁed score value using a novel integrated anomaly detection *** on the score value,the anomalies are identiﬁed.A Teaching Learn-ing based Optimization(TLBO)algorithm has been used to optimize the feature extraction phase of the modiﬁed CNN and fast convergence is *** this way,the performance of the model is enhanced in terms of classiﬁcation *** efﬁciency of the proposed technique is compared with the state-of-art techni-ques in terms of accuracy,sensitivity,speciﬁcity,recall,and *** proposed MCNN-TLBO technique has provided an overall architecture of 97.85%,95.45%,and 97.55%for the three social media datasets namely Facebook,Twitter,and Reddit respectively.

关键词： Anomaly detection convolutional neural network social networking sites stochastic pooling teacher learner-based optimization

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A New Median Filter Circuit Design Based on Atomic Silicon Quantum-Dot for Digital Image Processing and IoT Applications

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IEEE Internet of Things Journal 2025年第13期12卷 23000-23007页

作者： Ahmadpour, Seyed-Sajad Avval, Danial Bakhshayeshi Navimipour, Nima Jafari Rasmi, Hadi Heidari, Arash Kassa, Sankit Misra, Neeraj Kumar Navin, Ahmad Habibizad Mosleh, Mohammad Hosseinzadeh, Mehdi Patidar, Mukesh Kadir Has University Department of Computer Engineering Istanbul Turkey Sakarya University Department of Information Systems Engineering Sakarya Turkey Department of Computer Engineering Kadir Has University Istanbul Turkey Future Technology Research Center National Yunlin University of Science and Technology Douliou Yunlin64002 Taiwan Western Caspian University Research Center of High Technologies and Innovative Engineering Baku Azerbaijan Islamic Azad University Department of Computer Engineering Dez.C. Dezful Iran İstanbul Atlas University Faculty of Engineering and Natural Science Department of Computer Engineering Istanbul Turkey Symbiosis International Deemed University Symbiois Institute of Technology Pune India VIT-AP University School of Electronics Engineering Andhra Pradesh Amaravathi522237 India Islamic Azad University Department of Computer Engineering Tabriz Branch Tabriz*** Iran Islamic Azad University Department of Computer Engineering Dezful Branch Dezful Iran Duy Tan University Institute of Research and Development Da Nang Viet Nam Indore Institute of Science and Technology Department of Electronics and Communication Engineering Madhya Pradesh Indore453111 India

Digital Image Processing (DIP) is the ability to manipulate digital photographs via algorithms for pattern detection, segmentation, enhancement, and noise reduction. In addition, the Internet of Things (IoT) acts as the eye and system for all DIP in various applications. It can possess a camera or another image sensor in order to capture real-time data from its environment. All vital data is processed by image processing in such a way that it recognizes the object, detects an anomaly, and automatically decides in real-time. In addition, in an IoT system, the median filter is the technique used for noise reduction by substituting the value of the pixel with the central value of the surrounding pixels. It provides speed and efficiency for quick analysis in all IoT systems. However, the images can get corrupted, especially in resource-constrained IoT devices with small cameras, because of random glitches. Moreover, using new quantum technology like atomic-scale silicon dangling bond (DB) logic circuits, which have advanced in fabrication and become a strong contender for field-coupled nano-computing, can solve previous problems in IoT systems. In this paper, we propose a unique quantum CSM based on two new proposed Mux and De-mux. The proposed CSM can be used for computational circuits like median filter circuits (MFC) in a wide range of digital circuits, specifically IoT devices. The proposed design is verified and validated using the powerful SiQAD tool. When comparing CSM to the newest designs, the suggested quantum circuit uses 85% less energy and takes up 61% less area. © 2014 IEEE.

关键词： Dangling bonds

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Design and Implementation of a LoRa-Based Remote Health Monitoring System with Emergency Alert Capabilities 7

Design and Implementation of a LoRa-Based Remote Health Moni...

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7th International Conference on Circuit Power and Computing Technologies, ICCPCT 2024

作者： Rajesh, K.P. Vinu Kumar, S.M. Parameshwari, V. Divyaa, N. Nallasivam, Manikanda Prabu Padma Suresh, L. Sri Krishna College of Technology Electronics & Communication Engineering Coimbatore India Sri Krishna College of Technology Mechanical Engineering Coimbatore India Nandha Engineering College Electronics & Communication Engineering Erode India Velalar College of Engineering and Technology Electronics & Communication Engineering Erode India Baselios Mathews II College of Engineering Computer Science and Engineering Kerala Sasthamcotta India

ISBN: (纸本)9798350372816

Saving human lives is essential in the field of medical science. engineering technologies support to achieve this goal. This article explores the integration of Internet of Things and LoRa technology in hospital wristbands to enhance patient care and streamline healthcare operations. The proposed system employs Arduino Pro Mini microcontrollers and LoRa1276 in the LoRa enabled Patient Wrist Band Module (LPWM) to facilitate real-time monitoring of patient vital signs, such as temperature and pulse. The acquired data is transmitted wirelessly to a central nursing station. In the nursing station, a Raspberry Pi equipped with a LoRa receiver device consolidates and displays the data. Grey Wolf Optimization algorithm is used in Raspberry Pi to prioritize patient care based on predefined parameters. The integration of Explainable AI in the receiver module enhances the transparency and trustworthiness of AI-driven recommendations. This supports personalized patient care. This comprehensive approach aims to bridge the healthcare gap in ensuring efficient resource allocation and improved patient outcomes through advanced technological solutions. © 2024 IEEE.

关键词： Remote patient monitoring

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Revolutionizing Bus Tracking and Arrival Prediction in Real Time for Both Public and Private Sectors, Powered by Firebase 3

Revolutionizing Bus Tracking and Arrival Prediction in Real ...

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3rd IEEE International Conference on Distributed Computing and Electrical Circuits and electronics, ICDCECE 2024

作者： Shafiulla, Mohammed Abdul Lateef Haroon, P.S. Naveed, Shaik Mohammed Ahmed, Suhail Mahika Dhar, M. Kumar, Utkarsh Ballari Institute Of Technology & Management Department Of Computer Science And Engineering Ballari India Ballari Institute Of Technology And Management Department Of Electronics And Communication Engineering Ballari India Ballari Institute Of Technology And Management Department Of Computer Science And Engineering Ballari India

ISBN: (纸本)9798350318609

Public transport systems often face challenges related to reliability and efficiency, leading to inconvenience and uncertainty for passengers. Existing solutions for real-time bus monitoring typically rely on expensive Internet of Things (IoT) components. This paper presents Track N Go, a cost-effective alternative for real-time monitoring of public buses and taxis using mobile phone location data. The system utilizes a robust backend system built with Java and *** for the user interface. Integration of GPS via the Map Box API and Firebase database ensures accurate location tracking. Track N Go provides accurate real-time monitoring, addressing challenges associated with public transport and improving overall urban mobility. The system enhances convenience and peace of mind for passengers by delivering reliable and user-centric solutions. The evaluation of Track N Go demonstrates its effectiveness in improving urban mobility and transit services. By offering a reliable and cost-effective solution for real-time bus monitoring, Track N Go aims to streamline daily commutes and make public transport more efficient and predictable. © 2024 IEEE.

关键词： Urban transportation

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