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A Deep Learning Architecture for Unsupervised Feature Extraction from Multimission SAR Time Series

A Deep Learning Architecture for Unsupervised Feature Extrac...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Ignacio Masari Luca Maggiolo Gabriele Moser Sebastiano B. Serpico Department of Electrical Electronic Telecommunication Engineering and Naval Architecture University of Genoa Genoa Italy

ISBN: (数字)9798350360325

ISBN: (纸本)9798350360332

Feature learning algorithms that use deep neural networks have shown to outperform traditional hand-crafted feature extraction methods when applied to satellite image time series. This learned features can be used in a multitude of applications such as classification, semantic segmentation, and change detection, among others. In this paper, we employ a feature learning technique to extract representative features from multimission polarimetric SAR (PolSAR) satellite image time series (SITS). To this end, we implement a formulation combining a 1-dimensional convolutional neural network and a stacked auto encoder. We performed experiments on a multimission and multitemporal PolSAR dataset and validated the extracted features through their utility as features in an unsupervised classification problem.

关键词： Representation learning Satellites Semantic segmentation Time series analysis Clustering algorithms Geoscience and remote sensing Feature extraction

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Spectrogram-driven Emotion Detection from Electroencephalogram

Spectrogram-driven Emotion Detection from Electroencephalogr...

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International Conference on electrical, Computer and Communication engineering (ECCE)

作者： Md. Taisirul Muktadi Tanzeem Tahmeed Reza Mohammed Tawshif Hossain Eshat Jahan Arifa Md. Fazlul Karim Khondakar Department of Biomedical Engineering Chittagong University of Engineering and Technology Chattogram Bangladesh Department of Electronics and Telecommunication Engineering Chittagong University of Engineering and Technology Chattogram Bangladesh Department of Electrical and Electronic Engineering Chittagong University of Engineering and Technology Chattogram Bangladesh

ISBN: (数字)9798350357509

ISBN: (纸本)9798350357516

Emotion detection aims to interpret emotions through data like text, voice, and physiological signals, which holds significant potential for monitoring mental health and human-computer interaction. Electroencephalogram (EEG) is a non-invasive technique recording brain activity and offers unique insights for real-time emotion detection. This study evaluates classifying emotions (i.e. positive, negative, neutral) in EEG using deep learning, emphasizing Convolutional Neural Networks (CNN). After going through the preprocessing part, the time-frequency representations along with random transformations were created as inputs to the CNN architecture by a short-time Fourier transform of the EEG signals from the SEED dataset. The spectrograms have been processed to have better outcomes, and they showed an overall accuracy of 99.80% in detecting the emotions classes. Also, processed spectrograms, along with the actual spectrograms, have been fed together to the CNN model as a hypothesis, and there we achieved an overall accuracy of 66%, depicting that the usage of processed spectrograms can be a potential field of study to recognize emotions from EEG signals.

关键词： Deep learning Emotion recognition Time-frequency analysis Electric potential Accuracy Brain modeling Feature extraction Electroencephalography Convolutional neural networks Spectrogram

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Gold Coated Photonic Crystal Fiber-Based Biosensor for Pathogenic Bacteria Detection 15

Gold Coated Photonic Crystal Fiber-Based Biosensor for Patho...

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15th International Conference on Advanced Technologies for Communications, ATC 2022

作者： Haque, Emranul Noman, Abdullah Al Hossain, Md. Anwar Hai, Nguyen Hoang Ahmed, Feroz Independent University Department of Electrical and Electronic Engineering Dhaka Bangladesh School of Electronics and Telecommunication Hanoi University of Science and Technology Hanoi Viet Nam Bangladesh University of Business and Technology Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (数字)9781665451888

ISBN: (纸本)9781665451888

It is critical to identify pathogens such as Vibrio Cholera, Escherichia Coli (E. coli), Bacillus Anthracis, and Enterococcus Faecalis, which cause infections in the blood, lungs, and other bodily parts. We present here a Surface Plasmon Resonance (SPR) biosensor-based Photonic Crystal Fiber (PCF) for the detection of pathogenic bacteria which pollute drinking water. The proposed sensor exhibits excellent performance characteristics, and it has the configuration of detecting analyte samples externally. The sensor is built with a basic square lattice of PCF, covered with a thin chemically stable gold layer. The sensor's performance is studied numerically using a finite element (FE)-based simulation tool, where the highest wavelength sensitivity is found to be 5161 nm/RIU for detecting Enterococcus Faecalis bacteria. Other critical parameters such as Signal to Noise Ratio, Detection Limit, and Sensor Length are also evaluated and presented for the proposed PCF biosensor © 2022 IEEE.

关键词： Escherichia coli

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Designing a Fuzzy Delphi-based Analytical Framework to Prioritize Factors Influencing Port Congestion 5

Designing a Fuzzy Delphi-based Analytical Framework to Prior...

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5th IEEE International Conference on Electro-Computing Technologies for Humanity, NIGERCON 2024

作者： Owowo, Mfon Okon Thomas Ajayi, Sunday Olanrewaju, Oludolapo Akanni Ighravwe, Desmond Eseoghene Amole, Abraham Olatide Etangetuk, Enediabasi Asukwo Bells University of Technology Department of Industrial Engineering Durban South Africa Bells University of Technology Department of Mechanical Engineering Ota Nigeria Durban University of Technology Department of Industrial Engineering South Africa Bells University of Technology Department of Electrical/Electronic and Telecommunication Engineering Ota Nigeria Nigerian Maritime Administration And Safety Agency Nigeria

ISBN: (纸本)9798331542559

In the global supply chain, port congestion is a leading bottleneck that affects operation costs and efficiencies due to unexpected delays. This research presents a Fuzzy Delphi method for analysing the factors responsible for port congestion to provide a decision-making tool for port authorities. In the framework, fuzzy logic was used to manage vagueness and uncertainty in experts' opinions about the 12 main factors that cause congestion in ports. Some factors considered are infrastructure limitations, regulatory inefficiencies and labour shortages. Through an iterative process, this study refined experts' consensus about the factors regarding Tin Can Island Port to identify the most influential factors that require immediate intervention. This study's findings showed that demurrage, delay and automation were causing congestion in Tin Can Island Port. Apart from these factors, fuel surcharge and capacity utilisation were also contributors to this port's congestion. This prioritisation will enable stakeholders to make informed decisions that optimise resource allocation within ports. Hence, the proposed framework will enhance port sustainability, especially operational efficiencies, and port competitiveness. © 2024 IEEE.

关键词： Expert's opinion Fuzzy Delphi supply chain Tin can Island Port

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Optimization and Performance Improvement of CsSnGeI3 All-Inorganic Lead-Free Thin-Film Perovskite Solar Cell through Numerical Simulation

Optimization and Performance Improvement of CsSnGeI3 All-Ino...

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2022 International Conference and Utility Exhibition on Energy, Environment and Climate Change, ICUE 2022

作者： Ferdoush, Tajreen Saha, Chaity Nafis, Mahdee Hossain, M. Mofazzal University of Liberal Arts Bangladesh Department of Electrical and Electronic Engineering 688 Beribadh Road Dhaka1207 Bangladesh Rajshahi University of Engineering and Technology Department of Electronics and Telecommunication Engineering Rajshahi6204 Bangladesh

ISBN: (纸本)9798350333268

Among different routes of the generation of electrical power, solar photovoltaic is one of the most promising and trusted technology. Organic, organic-inorganic hybrid lead-based perovskite compounds are becoming commercially appealing as absorber materials in the majority of perovskite solar cells due to high PCE (power conversion efficiency), low cost, availability of materials, and ease of production. However, as mentioned above, lead-based organic perovskite solar cells are unstable in open space. Nowadays, Sn-based inorganic perovskites are becoming more popular than lead-based perovskites as Pb-based perovskite solar cells are toxic and not environment-friendly. In this study, the thickness, doping density, defect density, energy bandgap of the absorber, and ETL (electron transport layer) and HTL (hole transport layer) materials of the cell are optimized using SCAPS-1D simulator. The final structure is FTO/ZnO/CsSnGeI3/NiO/Cu2O, where FTO works as TCO (transparent conducting oxide) layer. The optimized structure offered an open-circuit voltage (Voc) of 1.245V, a short-circuit current (Jsc) of 28.189 mA/cm2, a Fill Factor (FF) of 89.97%, and an overall PCE of 31.57%. According to the literature, this is the highest PCE for the CsSnGeI3 perovskite solar cell with all-inorganic layers. The proposed optimized structure will pave the path for the fabrication of low-cost, environment friendly and stable perovskite solar cell. © 2022 IEEE.

关键词： Perovskite

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Design and Implementation of A Low Cost electronic Protection System To Prevent Question Paper Leakage

Design and Implementation of A Low Cost Electronic Protectio...

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2022 IEEE International Conference on electronics, Computing and Communication Technologies, CONECCT 2022

作者： Islam, Md. Ariful Mashiat, Lamisa Sayeed, Md. Mostafa Kabir, Md. Maharaj Himu, Sheik Erfan Ahmed Abrar, Fahim Chowdhury, S. M. Moinul Kabir Hayat, Md. Tanvir International Islamic University Chittagong Kumira Dept. of Electrical & Electronic Engineering Chittagong Bangladesh International Islamic University Chittagong Kumira Department of Electronic and Telecommunication Engineering Chittagong Bangladesh

ISBN: (数字)9781665497817

ISBN: (纸本)9781665497817

Good quality of education and environment is needed to build a good education system. In order to determine the right quality of education, it is necessary to get away from bias and evaluate its accuracy. And the only way to adequately verify it is examination, which is the cornerstone of an optimum educational system. The major goal of the test is to measure the students' abilities. However, the biggest obstacle has arrived in the form of question paper leakage. Day by day it is becoming a very common phenomenon. So, in order to solve this issue we have implemented a system which is IOT Based and Protected System with Radio Frequency Identification (RFID). In our proposed system we primarily attempted to create a sealed electronic box that will be used to protect question papers. We have an RFID scanner for security as well as the utilization of a buzzer and GSM in this mechanism, where is also a protection layer such as sending OTP to the authorized person. Finally, we will monitor the real time update of everything through a specific web panel server. © 2022 IEEE.

关键词： Radio frequency identification (RFID)

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A Comparative Performance Analysis of Lead & Bismuth Incorporated PCF Based Dual Polarized SPR Sensor 15

A Comparative Performance Analysis of Lead & Bismuth Incorpo...

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15th International Conference on Advanced Technologies for Communications, ATC 2022

作者： Gupta, Debaleena Datta Kundu, Susmoy Haque, Emranul Noman, Abdullah Al Hai, Nguyen Hoang Hossain, Md. Anwar Ahmed, Feroz Independent University Department of Electrical and Electronic Engineering Dhaka Bangladesh School of Electronics and Telecommunication Hanoi University of Science and Technology Hanoi Viet Nam Bangladesh University of Bisiness and Technology Department of Electrical and Electronic Engineering Dhaka Bangladesh

ISBN: (数字)9781665451888

ISBN: (纸本)9781665451888

A novel study of plasmonic material comparison has been performed on a dual polarized photonic crystal fiber (PCF) based square lattice microchannel incorporated surface plasmon resonance (SPR) sensor which has. Lead and bismuth have been individually deposited on to the micro channel and the performance parameters of the sensor have then been studied and compared. The Finite Element Method (FEM) has been adopted to carry out the numerical investigations. Using lead, for the x- and y-polarized modes respectively, the sensor achieved a highest wavelength sensitivity of 36,000 nm/RIU and 55,000 nm/RIU, maximum amplitude sensitivity of-436.9 boldsymbol{text{RIU}^{-1}} and -719.4 boldsymbol{text{RIU}^{-1}}, minimum resolution of boldsymbol{2.8times 10^{-6}} RIU and boldsymbol{1.8times 10^{-6}} RIU, and the highest figure of merit (FOM) of 3007.5 RIU-1and 426.9 boldsymbol{text{RIU}^{-1}}, along with a wide analyte refractive index (RI) sensing range. Using bismuth, for dual polarized modes, the sensor obtained a highest wavelength sensitivity of 15,000 nm/RIU and 60,000 nm/RIU, maximum amplitude sensitivity of -241.4 RIU-1 and -224.1 RIU-1, minimum resolution of boldsymbol{6.7times 10^{-6}} RIU and boldsymbol{1.7times 10^{-6}} RIU, highest FOM of 188.6 RIU-1 and 127.7 mathbf{RIU}^{-1}, in addition to a broad RI sensing range. The signal to noise ratio (SNR), detection limit, sensor length, and the detection accuracy have also been investigated for the dual polarization using the two metals. With its extremely impressive performance parameters and wide sensing range, the sensor can be used to detect a broad spectrum of analytes, especially, chlorodifluoromethane refrigerant R-22, pseudomonas bacteria, and ethyl-, methyl-, propyl-based alcohol. © 2022 IEEE.

关键词： Microchannels

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Development of Microwave Antenna for Bone Health Diagnosis Application

Development of Microwave Antenna for Bone Health Diagnosis A...

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International Conference on Computer and Information Technology (ICCIT)

作者： Tasmia Tabassum Rahman Fahmida Luna Jannatul Feardous Md. Kamal Hosain A. S. M. Badrudduza Department of Electronics & Telecommunication Engineering Rajshahi University of Engineering and Technology (RUET) Rajshahi Bangladesh Department of Electrical & Electronic Engineering Rajshahi University of Engineering and Technology (RUET) Rajshahi Bangladesh

ISBN: (数字)9798331519094

ISBN: (纸本)9798331519100

The following research proposes a compact ultra-wideband (UWB) microwave patch antenna for bone health diagnosis using microwave sensing technology. The geometrical structure of the antenna has been optimised by iterative adjustments to the radiating patch and ground plane conductor. The proposed antenna offers a broad operational bandwidth range from 2.75 GHz to 18 GHz with S11 well below -10 dB. Rogers RT5870 substrate (loss tangent of 0.0012 and dielectric constant of 2.33) has been used with a dimension of 27 mm x 22 mm for suitable use to the wearable devices. The far field analysis shows a near omnidirectional persistent radiation pattern. A multilayer phantom (Skin layer, fat layer, muscle layer, bone layer) measurement system is adjusted employing a realistic homogeneous for both phantoms and antenna sensing proximity with which the variation of S11 for fractured bone is observed. The surface current distribution observed was 57.4 A/m with high gain of 5.01 dBi in transient broadband simulation. The examination of bone phantom backscattering signals suggests that the recommended microwave antenna can be a useful choice for healtcare devices focusing to bone health diagnosis.

关键词： Microwave antennas Microwave integrated circuits Phantoms Microwave devices Bandwidth Bones Ultra wideband antennas Sensors Microwave FET integrated circuits Antenna radiation patterns

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Non-Orthogonal Multiple Access Integrated Sensing and Communication Beyond 5G Network 3

Non-Orthogonal Multiple Access Integrated Sensing and Commun...

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3rd IEEE Wireless Africa Conference, WAC 2025

作者： Ngene, C.E. Thakur, P. Singh, G. University of Johannesburg Centre for Smart Information and Communication Systems Department of Electrical and Electronic Engineering Science Johannesburg 2006 South Africa Symbiosis Institute of Technology Symbiosis International (Deemed University) Department of Electronics and Telecommunication Engineering Maharashtra Pune India

ISBN: (纸本)9798331517588

This paper proposes a radio frequency-non-orthogonal multiple access integrated sensing and communication (RF-NOMA ISAC) beyond the fifth generation (B5G) network where the input power transmission assists in presenting a sensing and information-carrying signal trade-off performance. The designed downlink RF-NOMA ISAC base station (BS) and access point (AP) transmit two different inputs power (20 dBm and 30 dBm) to multiple devices/users. This RFNOMA ISAC BS and AP transmission point investigation shows a signal trade-off between communication throughput and effective signal sensing power performance and encountered challenges in displaying better signal trade-offs as inputted power performs transmissions to multiple devices simultaneously using the same resources. To solve this problem, the NOMA scheme with an efficient-based algorithm is deployed by invoking power allocation optimization. Therefore, we have observed that the RF-NOMA ISAC AP signal transmission shows better trade-offs than the RF-NOMA ISAC BS between communication throughput and effective signal sensing power in terms of channel correlation gains and simulation results. We used MATLAB software tool to obtain simulation results that support mathematical formulation. © 2025 IEEE.

关键词： beyond fifth generation (B5G) network power allocation Radio frequency-non orthogonal multiple access integrated sensing and communication (RF-NOMA ISAC) successive interference cancellation (SIC) throughputs

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Performance Enhancement of UWB Antenna Using FSS Layer for millimeter-wave 5G

Performance Enhancement of UWB Antenna Using FSS Layer for m...

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Next-Generation Computing, IoT and Machine Learning (NCIM), International Conference on

作者： Tanvir Hossain Sourav Chakraborty Mohammed Jashim Uddin Abdul Gafur Syed Zahidur Rashid Muhammad Asad Rahman Md. Ibrahim Department of Electronic and Telecommunication Engineering International Islamic University Chittagong Chittagong Bangladesh Department of Electrical & Electronic Engineering Chittagong University of Engineering & Technology Chittagong Department of Electronic & Telecommunication Engineering International Islamic University Chittagong

This research encapsulates the design of a compact Ultra-Wide Band (UWB) antenna resonating in 5G mm-wave, covering the respective n257, n258, and n261 bands. The circular patch with slots aids in enhancing the gain and radiation efficiency of our proposed antenna. The antenna's bottom ground plane is Defected Ground Structure (DGS), which aids in extending its bandwidth. The antenna is compact, having a dimension of 12×12 mm 2 . This antenna has a wide bandwidth of 19.73 GHz and a maximum efficiency of 91%. A Frequency Selective Surface (FSS) with L shaped unit cell is used at the antenna's back end (5 mm) to increase gain even further, achieving a maximum gain of 8.24 dBi. The antenna element for our proposed antenna is mounted over a Rogers RT 5880 substrate. Two circular parasitic elements are designed on the bilateral side of the feedline to facilitate a better radiation pattern.

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