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6th International Conference on Advancements in Computing, ICAC 2024

作者： Hakmana, Nethmi Tharushi Kahatapitiya, Nipun Shantha Weerasinghe, Sasmitha Kalupahana, Deshan Silva, Bhagya Nathali Ravichandran, Naresh Kumar Seong, Daewoon Han, Sangyeob Lee, Seung Yeol June, Hee-Young Jeon, Mansik Kim, Jeehyun Wijenayake, Udaya Wijesinghe, Ruchire Eranga Faculty of Engineering Sri Lanka Institute of Information Technology Department of Mechanical Engineering Malabe Sri Lanka Faculty of Engineering University of Sri Jayewardenepura Department of Computer Engineering Nugegoda Sri Lanka Faculty of Computing Sri Lanka Institute of Information Technology Department of Information Technology Malabe Sri Lanka Sri Lanka Institute of Information Technology Malabe Sri Lanka Center for Scientific Instrumentation Korea Basic Science Institute Daejeon Korea Republic of School of Electronic and Electrical Engineering College of IT Engineering Kyungpook National University Daegu Korea Republic of ICT Convergence Research Center Kyungpook National University Daegu Korea Republic of Kyungpook National University Department of Plant Medicine Daegu Korea Republic of Institute of Plant Medicine Kyungpook National University Daegu Korea Republic of Faculty of Engineering Sri Lanka Institute of Information Technology Department of Electrical and Electronic Engineering Malabe Sri Lanka

ISBN: (纸本)9798331517878

Plant diseases caused by various pathogens, such as fungi, bacteria, and viruses, lead to significant reductions in crop yield and quality. Early detection of these diseases is critical for preventing their spread and optimizing crop yield. Traditional methods of disease detection, while effective, often involve invasive or time-consuming procedures that may not provide real-time insights. This study investigates the use of Swept-Source Optical Coherence Tomography (SS-OCT) for non-destructive, high-resolution imaging to identify morphological abnormalities in fruit specimens affected by diseases. The research focuses on differentiating healthy regions, healthy boundaries, infected boundaries, and fully infected regions in apples. Using a 1310 nm center wavelength laser, the SS-OCT system captured detailed cross-sectional images of fruit tissue, revealing microstructural changes associated with disease progression. A qualitative assessment of the two-dimensional (2D) OCT images highlighted distinct layers in healthy tissues, noticeable structural deformities, and the merging of microstructural layers in the boundary and infected regions. Quantitative depth-profile analysis of axial-direction A-scan profiles further demonstrated the reduction and merging of intensity peaks correlating with tissue abnormalities in infected fruit specimens. These findings underscore the potential of SS-OCT as an effective tool for early disease detection in agricultural products, providing a means for timely intervention and optimized postharvest management. © 2024 IEEE.

关键词： Fruits

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Earthworm Optimization with Improved SqueezeNet Enabled Facial Expression Recognition Model

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computer Systems Science & engineering 2023年第8期46卷 2247-2262页

作者： N.Sharmili Saud Yonbawi Sultan Alahmari E.Laxmi Lydia Mohamad Khairi Ishak Hend Khalid Alkahtani Ayman Aljarbouh Samih M.Mostafa Computer Science and Engineering Department Gayatri Vidya Parishad College of Engineering for WomenVisakhapatnamAndhra PradeshIndia Department of Software Engineering College of Computer Science and EngineeringUniversity of JeddahJeddahSaudi Arabia King Abdul Aziz City for Science and Technology RiyadhKingdom of Saudi Arabia Department of Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India School of Electrical and Electronic Engineering Engineering CampusUniversiti Sains Malaysia(USM)Nibong TebalPenang14300Malaysia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Computer Science University of Central AsiaNaryn722600Kyrgyzstan Faculty of Computers and Information South Valley UniversityQena83523Egypt

Facial expression recognition(FER)remains a hot research area among computer vision researchers and still becomes a challenge because of high intraclass *** techniques for this problem depend on hand-crafted features,namely,LBP,SIFT,and HOG,along with that a classifier trained on a database of videos or *** execute perform well on image datasets captured in a controlled condition;however not perform well in the more challenging dataset,which has partial faces and image ***,many studies presented an endwise structure for facial expression recognition by utilizing DL ***,this study develops an earthworm optimization with an improved SqueezeNet-based FER(EWOISN-FER)*** presented EWOISN-FER model primarily applies the contrast-limited adaptive histogram equalization(CLAHE)technique as a pre-processing *** addition,the improved SqueezeNet model is exploited to derive an optimal set of feature vectors,and the hyperparameter tuning process is performed by the stochastic gradient boosting(SGB)***,EWO with sparse autoencoder(SAE)is employed for the FER process,and the EWO algorithm appropriately chooses the SAE ***-ranging experimental analysis is carried out to examine the performance of the proposed *** experimental outcomes indicate the supremacy of the presented EWOISN-FER technique.

关键词： Facial expression recognition deep learning computer vision earthworm optimization hyperparameter optimization

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Light-Weight Gated Recurrent Unit for Electroencephalogram Emotion Classification

Light-Weight Gated Recurrent Unit for Electroencephalogram E...

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International Electrical engineering Congress (iEECON)

作者： Suchada Sitjongsataporn Wenzhang Du Pipat Sakarin Dept. of Electronic Engineering Mahanakorn Institute of Innovation (MII) Faculty of Engineering and Technology Mahanakorn University of Technology Bangkok Thailand Dept. of Computer Engineering Mahanakorn University of Technology International College (MUTIC) Faculty of Engineering and Technology Mahanakorn University of Technology

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This experiment investigates the impact of reducing GRU units and dense layer neurons in a lightweight GRU architecture (LW-GRU-RU) compared to a baseline GRU model for electroencephalogram (EEG) emotion classification. A baseline GRU model is used as a reference, with an optimized GRU variant utilizing feature selection through a Random Forest-based algorithm. Experiments are conducted on a labeled emotion dataset, comparing accuracy and training efficiency across five trials. Results highlight the trade-off between model complexity, accuracy, and computational efficiency, providing insights for practical applications. Both models are evaluated on an emotion dataset for accuracy and training efficiency. The lightweight model achieves a competitive accuracy of 97.486% while reducing the average training time to 0.19 seconds per epoch, showcasing its potential for efficient real-world applications.

关键词： Training Hands Accuracy Computational modeling Neurons computer architecture Brain modeling Feature extraction Electroencephalography Computational efficiency

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A 60 GHz and 2.08 mW Active Quasi-Circulator in 22 nm FDSOI technology 66

A 60 GHz and 2.08 mW Active Quasi-Circulator in 22 nm FDSOI ...

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2023 IEEE 66th International Midwest Symposium on Circuits and Systems, MWSCAS 2023

作者： Chowdhury, Sujan Chakraborty, Arindom Joy, Upal Barna Fahim, Abrar Chowdhury, Muhtasim Alam Hasan, Mehedi Technical University of Dresden Faculty of Electrical and Computer Engineering Dresden Germany University of Science and Technology Chittagong Depertment of Electrical and Electronic Engineering Chattogram Bangladesh New York University Depertment of Electrical and Computer Engineering New York United States University of Arizona Depertment of Electrical and Computer Engineering Arizona United States University of Maryland Depertment of Electrical and Computer Engineering College ParkMD United States

ISBN: (纸本)9798350302103

In recent years, circuit design of high-frequency active quasi-circulator for full-duplex wireless systems have attracted wide attention in the area of Microwave and Radio Frequency (RF) circuits. This paper presents the design of an active quasi-circulator intended for operation in the 60 GHz Industrial, Scientific, and Medical (ISM) radio band, employing 22nm FD-SOI technology. The goal is to achieve a low noise figure, superior isolation, and a high-power handling capability, as measured by the 1 dB compression point. The quasi-circulator design incorporates a Wilkinson power divider and low noise amplifier, yielding a noise figure of 7 dB, 18 dBm power handling, 20 dB isolation, and 2.08 mW power consumption. © 2023 IEEE.

关键词： active circulator circulator isolation quasi-circulator Wilkinson divider

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EV Scheduling Optimization by Utilizing Excess Photovoltaic Energy with Forward Dynamic Programming

EV Scheduling Optimization by Utilizing Excess Photovoltaic ...

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International Conference on Green Energy and Applications (ICGEA)

作者： Cuong Le-The Nhat Hoang Tuyen Nguyen-Duc Hirotaka Takano School of Electronic and Electrical Engineering Hanoi University of Science and Technology Hanoi Vietnam Dept. of Electrical Electronic and Computer Engineering Faculty of Engineering Gifu University Japan

ISBN: (数字)9798350349009

ISBN: (纸本)9798350349016

As the global trend toward sustainable transportation gains momentum, electric vehicles (EVs) have become increasingly popular due to their ecological advantages. However, as the EV population expands, issues pertaining to power quality, such as voltage stability and load profiles, have emerged. Various solutions have been proposed to mitigate the adverse effects of EV charging. One such approach involves the amalgamation of renewable energy sources (RES) within charging infrastructure, coupled with Vehicle-to-Grid (V2G) technology. In this article, a new method is presented that utilizes RES in conjunction with the Forward Dynamic Programming Algorithm to lower the cost of charging all EVs. This approach also works to even out the demand curve by considering EV owners' travel schedules.

关键词： Degradation Vehicle-to-grid Schedules Costs Heuristic algorithms Electricity Trajectory

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Exploring the Characterization of Electrodeposited MoS2 as a Hole Transport Layer in Methylammonium Perovskite Solar Cells

Exploring the Characterization of Electrodeposited MoS2 as a...

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IEEE International Conference on Semiconductor electronics (ICSE)

作者： Ahmad Muhajer Abdul Aziz Muhammad Idzdihar Idris Zul Atfyi Fauzan Mohammed Napiah Radi Husin Ramlee Muhammad Noorazlan Shah Zainudin Mohd Marzaini Mohd Rashid Mohd Iskandar Dzulkarnain M Rummaja Faculty of Electronic and Computer Technology and Engineering Universiti Teknikal Malaysia Melaka (UTeM) Malaysia Micro and Nano Electronic Research Group (MiNE) Faculty of Electronic and Computer Technology and Engineering Universiti Teknikal Malaysia Melaka (UTeM) Malaysia School of Physics Universiti Sains Malaysia (USM) Malaysia

ISBN: (数字)9798350378313

ISBN: (纸本)9798350378320

The study explores the characterization of electrodeposited Molybdenum Disulfide (MoS2) as a hole transport layer (HTL) in Methylammonium Perovskite Solar Cells. MoS2, a two-dimensional material, is meticulously deposited to ensure uniformity and then optimized to enhance its hole transport capabilities for efficient charge extraction. Comprehensive characterization techniques, including photovoltaic measurements, impedance spectroscopy, and morphology studies, evaluate the impact of MoS2 on the performance of Methylammonium Perovskite Solar Cells. The findings suggest that electrodeposited MoS2 exhibits promising potential as a high-performance HTL, offering insights into improving the efficiency and stability of Methylammonium Perovskite Solar Cells. This study contributes to advancing the understanding and development of efficient and stable solar cell technologies through the integration of MoS2 as a hole transport layer in Methylammonium Perovskite Solar Cells.

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Survey of Micro Fluidic Phased Array Antenna for Beam Steering Techniques

Survey of Micro Fluidic Phased Array Antenna for Beam Steeri...

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2022 International Conference on Intelligent technology, System and Service for Internet of Everything, ITSS-IoE 2022

作者： Osman, Shakib Abdulahi Abdullah, Qazwan Shah, Nor Shahida Mohd Koylu, Fehim Ali, Ahmed O. Hassan, Mohamud M. Hamzah, Shipun Hassan, Abdikarim Abi Osman, Abdirisak Ali Universiti Tun Hussein Onn Malaysia Faculty of Electrical and Electronic Engineering Johor Malaysia Community College of Yareem Ibb Yemen Universiti Tun Hussein Malaysia Faculty of Engineering Technology Johor Pagoh Muar Malaysia Erciyes University Faculty of Computer Engineering Kayseri Turkey Zamzam University Faculty of Computer Information and Engineering Technology Mogadishu Somalia Simad University Faculty of Engineering Mogadishu Somalia

ISBN: (数字)9781665459983

ISBN: (纸本)9781665459983

A spatially adaptable radio wire cluster (SAA) is an exhibit that can vary the actual field's actual area. Ability to expand connect limit without employing an expanded boundary or many receive antenna components. This study presents a thorough examination of current microfluidic over 5G technologies and strategies. In this composition, a new RF feed arrangement is shown, along with the first SAA trial check that makes use of microfluidic-based reconfiguration. This study presents a thorough examination of current microfluidic over 5G technologies and strategies. The investigation's goal was to create a component fix reception antenna using water-based fluidic stage shifters, where the pillar directing could be controlled by filling a few water channels for each antenna, and other approaches were put out by various researchers. These techniques have been broken down into categories that are easy to understand, such as the use of creating a stage Shifter and combining an array with a phase shifter. In each meeting, a limited number of excellent articles were examined and evaluated for idea confirmation. Finally, a comparison of various approaches was made. © 2022 IEEE.

关键词： Microfluidics

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Ontology-Based Crime News Semantic Retrieval System

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computers, Materials & Continua 2023年第10期77卷 601-614页

作者： Fiaz Majeed Afzaal Ahmad Muhammad Awais Hassan Muhammad Shafiq Jin-Ghoo Choi Habib Hamam Department of Information Technology University of GujratGujrat50700Pakistan Department of Computer Science University of Engineering&TechnologyLahore54890Pakistan Department of Information and Communication Engineering Yeungnam UniversityGyeongsan38541Korea Faculty of Engineering Uni de MonctonMonctonNB E1A3E9Canada International Institute of Technology and Management Commune d’AkandaBPLibreville1989Gabon School of Electrical Engineering Department of Electrical and Electronic Engineering ScienceUniversity of JohannesburgJohannesburg2006South Africa Spectrum of Knowledge Production&Skills Development Sfax3027Tunisia

Every day,the media reports tons of crimes that are considered by a large number of users and accumulate on a regular *** news exists on the Internet in unstructured formats such as books,websites,documents,and *** such homogeneous data,it is very challenging to extract relevant information which is a time-consuming and critical task for the public and law enforcement ***-based Information Retrieval(IR)systems rely on statistics to retrieve results,making it difficult to obtain relevant *** are unable to understandthe user’s query and thus facewordmismatchesdue to context changes andthe inevitable semanticsof a given ***,such datasets need to be organized in a structured configuration,with the goal of efficiently manipulating the data while respecting the semantics of the *** ontological semantic IR systemis needed that can find the right investigative information and find important clues to solve criminal *** semantic system retrieves information in view of the similarity of the semantics among indexed data and user *** this paper,we develop anontology-based semantic IRsystemthat leverages the latest semantic technologies including resource description framework(RDF),semantic protocol and RDF query language(SPARQL),semantic web rule language(SWRL),and web ontology language(OWL).We have conducted two *** the first experiment,we implemented a keyword-based textual IR systemusing Apache *** the second experiment,we implemented a semantic systemthat uses ontology to store the data and retrieve precise results with high accuracy using SPARQL *** keyword-based system has filtered results with 51%accuracy,while the semantic system has filtered results with 95%accuracy,leading to significant improvements in the field and opening up new horizons for researchers.

关键词： Web 3.0 crime ontology semantic web knowledge representation

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AoI-Aware Sampling, Transmission, and Computation for Edge-Enabled Control System

AoI-Aware Sampling, Transmission, and Computation for Edge-E...

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2025 IEEE Wireless Communications and Networking Conference, WCNC 2025

作者： Luan, Mingan Chang, Zheng Chi, Jin School of Computer Science and Engineering University of Electronic Science and Technology of China China University of Jyväskylä Faculty of Information Technology Finland

ISBN: (纸本)9798350368369

In this paper, an age of information (AoI)-aware joint design framework of sampling, transmission, computation, and control is considered for industrial cyber-physical systems. To enhance the control performance, we investigate an edge-enabled control scheme, which allows a physical entity to select its sampling adaptively and processing strategies based on de-mand. By analyzing the impact of sampling and short-packet decoding errors, and the coupling relationship between control accuracy and AoI, the AoI -aware control metric is established. Subsequently, we formulate a joint sampling time, computation offloading, and bandwidth allocation optimization problem to minimize the system's control and energy costs. To tackle the formulated NP-hard problem, we develop a BCD-based algorithm leveraging convex and game theories to obtain a joint optimization strategy in an iterative manner. Finally, the performance of the proposed edge-enabled control scheme is verified in the simulation results. © 2025 IEEE.

关键词： NP-hard

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Smart Happy Device with IoT : For those who suffer anxiety, stress, and depression 12

Smart Happy Device with IoT : For those who suffer anxiety, ...

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12th IEEE Region 10 Humanitarian technology Conference, R10-HTC 2024

作者： Yakub, Fitri Azizan, Azizul Dhamanti, Inge Khudzari, Ahmad Zahran Md. Govindan, Niranjana Muljono, Muljono UTM Malaysia-Japan International Institute of Technology Electronic System Engineering Department Kuala Lumpur Malaysia Universiti Teknologi Malaysia Cyberphysical Research Group Embedded AI & ML Science Lab Faculty of Artificial Intelligence Kuala Lumpur Malaysia Universitas Airlangga Faculty of Public Health Department of Health Policy and Administration Surabaya Indonesia UTM Faculty of Engineering Department of Biosciences & Medical Engineering Johor Bahru Malaysia SRMIST Faculty of Engineering & Technology Department of Computing Technologies Chennai India Universitas Dian Nuswantoro Faculty of Computer Science Semarang Indonesia

ISBN: (纸本)9798350340204

Due to the rising cases of Covid-19 in the world especially in Malaysia, the impact had been hit hard for many people. Due to this all people must be isolated in their home. It has affected the well-being and working life of millions of people across the world. Due to this disease, the mental health among people has increased significantly for the past 2 years. According to MoH, out of 983 Malaysian students, about 20.4%, 6.6%, and 2.8% are experienced minimal to moderate, marked to severe, and most extreme levels of anxiety, respectively. The main stressors are the remote online teaching, and uncertainty about the future regarding study and career which can affect mental health. Thus, the main objective of this project is to develop a product that may provide different medication methods to its users by helping people who suffer anxiety, stress, and depression. We used aromatherapy, positive quotes, and music therapy in order to release stress. The user can also check his or her pulse rate by only touching the fingerprint through the sensor. The microcontrollers used in this project are Arduino Uno and Arduino Mega to build the project circuit. The experimental results can improve body health, mind and spirit which enhances both physical and emotional health. © 2024 IEEE.

关键词： COVID-19

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