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7th IEEE Pune Section International Conference, PuneCon 2024

作者： Pillai, Sandeep Lahamage, Darshan Gurav, Shreya Ambawade, Dayanand Sardar Patel Institute of Technology Department of Electronics & Telecommunication Mumbai India Sardar Patel Institute of Technology Department of Computer Science & Engineering Mumbai India

ISBN: (纸本)9798331527822

India, the world's largest democracy, faces significant challenges in conducting free and fair elections due to the prevalence of vote tampering, booth capturing, and rigging. To address and solve these challenges, a blockchain-based e-voting system will be developed that is secure, transparent, and accessible to all eligible voters in India. The decentralized nature of blockchain, combined with the transparency and security of smart contracts written in Solidity, will ensure that the voting process is tamper-proof and transparent. The system will be developed and tested on Ethereum testnet, and the complexity of existing systems will be simplified into a simple smartphone application that can be accessed by all eligible voters in India. The system will remove dependency on crypto wallets like Meta-mask, the backend api's are developed using ***, *** and ***. SHA-3 will be used for hashing and encryption purposes. The frontend will be developed using React Native, ensuring a user-friendly and accessible interface. The successful implementation of this blockchain-based e-voting system could revolutionize the democratic process in India, making it more accessible, secure, and transparent, and setting an example for other countries to follow. © 2024 IEEE.

关键词： Ethereum

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Estimation of Chromatic Dispersion by means of Innovative Rectification Element 6

Estimation of Chromatic Dispersion by means of Innovative Re...

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6th Global Conference on Wireless and Optical Technologies, GCWOT 2023

作者： Abbasi, Madiha Rafique, Ayesha Akram, Noreen Akram, Ambreen Sir Syed University of Engineering and Technology Telecommunication Engineering Department Karachi Pakistan Bahria University Computer Science Department Karachi Pakistan

ISBN: (纸本)9798350333718

An optical signal becomes progressively more distorted as it travels a long-haul fiber transmission system. This distortion is the consequence of interamodal dispersion in single mode fibers. These distortion effects can be elucidated by inspecting the behavior of the group velocities of the guided *** this Research, the vital factors of optical fiber transmission system like Chromatic dispersion (CD) and Mode-Field-Diameter (MFD) has been estimated competitively and precisely. A modern formulation has been created with the concern of group refractive-index of optical fiber within the backscattered control of Optical-Time-Domain-Reflectometer OTDR that results to a more improved measurement. © 2023 IEEE.

关键词： Single mode fibers

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An Improved of Enhancements of a User Authentication Scheme

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International Journal of Network Security 2023年第3期25卷 508-514页

作者： Hwang, Min-Shiang Li, Hou-Wen Yang, Cheng-Ying Department of Computer Science Information Engineering Asia University Taiwan The Ph.D. Program in Artificial Intelligence Asia University Taiwan Department of Computer Science University of Taipei Taiwan

With the rapid development of the Internet, telemedicine information systems (TLS) appear more and more around us. Nevertheless, the security of patient’s medical infor-mation remains one of the most critical factors for the widespread adoption of TLS. Recently, Liu et al. pro-posed an improved three-factor authentication scheme. Through the BAN logic verification, their scheme is se-cure. However, the user needs to remember the long random number, which is impractical. In addition, their scheme could not withstand the fake smart card attack and a difficult-to-remember random number. In this ar-ticle, we will improve their scheme for practicality and security. © (2023), All Rights Reserved.

关键词： Authentication

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An IoT-Enabled Smart Helmet for Health Monitoring and Location Tracking of Miners 7

An IoT-Enabled Smart Helmet for Health Monitoring and Locati...

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2023 7th International Conference On Computing, Communication, Control And Automation, ICCUBEA 2023

作者： Sagare, Sakshi Patil, Sakshi Choudhari, Srushti Sontakke, Prakash Bhattacharjee, Taniya Pimpri Chinchwad College of Engineering Department of Electronics and Telecommunication Pune India Pimpri Chinchwad College of Engineering Department of Electronics and Telecommunication Engineering Pune India Cmr Institute of Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350304268

In the mining industry, different complex operations create varying risk factors that allow a multitude of risk factors to appear. The Smart Helmet has been developed to provide safety to miners who work in an environment with many risk factors. In the mining area, Miners come into contact with hazardous gases which cause various respiratory diseases, lungs infection, and suffocation, sometimes resulting in the death of miners. Existing helmets help to detect and alert miners about abnormal conditions using buzzers. The proposed system helps to monitor the health of mining workers. Also, it detects hazardous gases using gas sensors. When hazardous gases cross the threshold value, oxygen is supplied to miners. The base station can track the location of miners and all the collected data from sensors is sent to the cloud using IoT. Real-time data is monitored at the base station (Mobile application/Workstation). According to the parameters, needful help will be provided to mining workers. Also, A message alert and emergency call will be sent to the registered contact information during an emergency. Thus, the proposed system helps the mining industry to reduce the number of accidents Whenever Hazardous gases exceed their threshold values, a buzzer gets activated to warn nearby workers. There is also a provision for a manual panic switch. In case of an unavoidable situation, workers will use it so that others can get alerted. Thus, the proposed system helps the mining industry to reduce the number of accidents. © 2023 IEEE.

关键词： Hazardous Gas detection Mining Industry Mobile Applications Node MCU 8266 Wireless communication

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Epileptic Seizure Prediction Using a Deep Hybrid CNN-GAN Model on EEG Data 3

Epileptic Seizure Prediction Using a Deep Hybrid CNN-GAN Mod...

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3rd IEEE International Conference on Robotics, Automation, Artificial-Intelligence and Internet-of-Things, RAAICON 2024

作者： Hasan, Nowshad Sharif, Md. Maskat Rahman, Miskatur Islam, Md Saiful Khan, Md Tohedur Rahaman Hoque, MD Jiabul Bahar, Anamul Chittagong University of Engineering and Technology Department of Electronics and Telecommunication Engineering Chittagong Bangladesh International Islamic University Chittagong Department of Computer Science Enginnering Chittagong Bangladesh International Islamic University Chittagong Department of Computer and Communication Engineering Chittagong Bangladesh University of London Department of Computer Science Enginnering London United Kingdom

ISBN: (纸本)9798331534400

Epileptic seizure detection from EEG signals is essential for the diagnosis and treatment of neurological conditions. However, this task is difficult because of the complex and fluctuating characteristics of EEG data. To overcome these difficulties, this research employs a specialized CNN-GAN hybrid model designed to improve seizure prediction by generating realistic synthetic data. This approach addresses class imbalance and enhances feature learning. The process begins with preprocessing EEG datasets to remove noise and artifacts. Data augmentation follows, expanding the dataset and reducing the risk of overfitting. Segmentation then isolates important features to boost prediction accuracy. Feature extraction is achieved using a custom CNN model, and classification is performed with a GAN model. The model demonstrates high accuracy, with results of 99.95% on the BONN Dataset, 98.93% on the CHB-MIT Dataset and 98.80% on the SWEC-ETHZ Dataset. Overall, the custom CNN-GAN hybrid model significantly improves the accuracy of predicting epileptic seizures from EEG signals across various datasets. © 2024 IEEE.

关键词： Prediction models

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Relative Power Loss Analysis of Poly-Si PV Panels: An Overview in Eastern Indian Climatic Condition

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Journal of The Institution of Engineers (India): Series B 2022年第5期103卷 1775-1780页

作者： Pal, Sudipta Basu Das Bhattacharya, Konika Mukherjee, Dipankar Department of Computer Science Technology University of Engineering Management Kolkata India Department of Electrical Engineering Indian Institute of Engineering Science and Technology Shibpur India Department of Electronics and Telecommunication Engineering Indian Institute of Engineering Science and Technology Shibpur India

Renewable energies are generated from natural processes that are continuously renewed. Therefore, it is required to combine the PV modules either in series combinations or parallel combinations for developing the appropriate Photovoltaic (PV) panel/PV arrays. Several PV modules are connected in a series–parallel combination to constitute PV arrays. These PV arrays currently act as a decentralized source of D.C power for onward transmission. When identical wattages PV modules are coupled in a parallel or series connection, there must be a probability to the PV module's manufacturing process that gives rise to power loss. Mainly these types of losses are called Mismatch losses. Mismatch losses (power losses) in PV panels principally occur in terms of Relative Power Loss (RPL). Therefore, the authors carried out I–V characterizations of different technology of PV modules under varying insolation and temperatures. The main aim of the work is to develop the right kind of photovoltaic (PV) panel/PV arrays in a particular Eastern Indian climatic zone. From the authors' characterization of RPL, analysis was conducted to judge which technology is most suitable to build a large size array/BIPV. The experimental results reveal lower mismatch losses of poly-Si PV modules for crystalline silicon and amorphous silicon counterparts. © 2022, The Institution of Engineers (India).

关键词： Solar panels

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QoE Comparison between Multi-User OFDMA and Reliable Groupcast for Wireless LAN Audiovisual Transmission

QoE Comparison between Multi-User OFDMA and Reliable Groupca...

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2024 IEEE Region 10 Symposium, TENSYMP 2024

作者： Deguchi, Daiki Nunome, Toshiro Graduate School of Engineering Nagoya Institute of Technology Computer Science Program Department of Engineering Nagoya466-8555 Japan

ISBN: (纸本)9798350364866

This paper compares video and audio QoE of OFDMA multi-user transmission and reliable groupcast over wireless LAN. We assume video and audio transmission to several terminals simultaneously. As a reliable groupcast method, we employ Unsolicited Retry, a technique of IEEE 802.11aa GroupCast with Retries. We utilize IEEE 802.11ax for OFDMA transmission. We evaluate application-level QoS by computer simulation. We then assess QoE through a subjective experiment with video and audio streams generated by the output timing obtained from the simulation. We notice that each method has a situation to be applied appropriately. © 2024 IEEE.

关键词： Orthogonal frequency division multiplexing

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Surface phase diagram of CsSnI3 from first-principles calculations

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Physical Review Materials 2024年第9期8卷 093401页

作者： Kejia Li Chadawan Khamdang Mengen Wang Department of Electrical and Computer Engineering Materials Science and Engineering Program

CsSnI3 is widely studied as an environmentally friendly Pb-free perovskite material for optoelectronic device applications. To further improve material and device performance, it is important to understand the surface structures of CsSnI3. We generate surface structures with various stoichiometries, perform density functional theory calculations to create phase diagrams of the CsSnI3 (001), (110), and (100) surfaces, and determine the most stable surfaces under a wide range of Cs, Sn, and I chemical potentials. Under I-rich conditions, surfaces with Cs vacancies are stable, which lead to partially occupied surface states above the valence band maximum. Under I-poor conditions, we find the stoichiometric (100) surface to be stable under a wide region of the phase diagram, which does not have any surface states and can contribute to long charge-carrier lifetimes. Consequently, the I-poor (Sn-rich) conditions will be more beneficial to improve the device performance.

关键词： Electronic structure Surface reconstruction Surface states Perovskites Semiconductors Density functional theory

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MPEG-DASH Multi-View Video and Audio Transmission QoE Over HTTP/2 Stream

MPEG-DASH Multi-View Video and Audio Transmission QoE Over H...

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2024 International Conference on Advanced Technologies for Communications, ATC 2024

作者： Wakayama, Yamato Nunome, Toshiro Graduate School of Engineering Nagoya Institute of Technology Computer Science Program Department of Engineering Nagoya466-8555 Japan

ISBN: (纸本)9798350353983

In this paper, we consider multi-view video and audio streaming using MPEG-DASH, which enables to transmit video tailored to the network conditions over HTTP communication. This paper uses HTTP/2 instead of HTTP/1.1, which the authors previously used. HTTP/2 manages a series of request-response exchanges called a stream, which is assigned a unique stream ID. We perform a subjective experiment under various network conditions to evaluate application-level QoS and QoE. From the evaluation results, we investigate the effect of the HTTP/2 stream on the video and audio quality of the users in the multi-view video transmission scenario. © 2024 IEEE.

关键词： Audio streaming

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Remote Sensing Scene Classification Based on Hybrid Convolutional Neural Network and Attention Module

Remote Sensing Scene Classification Based on Hybrid Convolut...

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2025 International Conference on Advancement in Data science, E-learning and Information System, ICADEIS 2025

作者： Kardawi, Muhammad Yusuf Gunawan, Alexander Agung Santoso Bina Nusantara University Profesional Engineer Program Faculty of Engineering Jakarta11480 Indonesia Faculty of Computer Science University of Indonesia Computer Science Department Jakarta Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta11480 Indonesia

ISBN: (纸本)9798331513320

Remote sensing images present classification challenges due to the complexity of their structural and spatial patterns. This research explores a hybrid approach that combines convolutional neural network (CNN) and attention through feature fusion to improve scene classification accuracy in remote sensing images. The proposed architecture utilizes EfficientNet and VGGNet to extract depth features separately. The extracted features are then integrated with Dynamic Selfattention (DSA), which dynamically focuses the model on the most relevant information in the image. DSA allows the model to adaptively assign weights to different parts of the image, thus improving the discriminative ability of the model. Furthermore, a feature fusion technique is applied to combine information from different layers of the CNN and DSA modules. Experiments conducted on the UC Merced dataset showed accuracies of 0.9181 and 0.9167. These results show that the combination of CNN, DSA, and feature fusion is an effective and robust approach for remote sensing image classification. © 2025 IEEE.

关键词： Convolutional neural networks

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