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4th International Conference on Advancements in Computing, ICAC 2022

作者： Jayasekara, Udara Maniyangama, Hansindu Vithana, Kalhan Weerasinghe, Tharana Wijekoon, Janaka Panchendrarajan, Rrubaa Department of Computer Science and Software Engineering Sri Lanka Institute of Information Technology Sri Lanka Department of Computer System Engineering Sri Lanka Institute of Information Technology Sri Lanka

ISBN: (纸本)9798350398090

Due to the prevalence of the COVID-19 epidemic around the globe, children were compelled to engage in remote learning through online platforms, hence mobile phone has become one of their predominant devices. Mobile device with Internet access offers a major outlet for education, entertainment, and social connection, but this combination can lead to several significant bad sequences such as online exploitation, harmful addictions, and other negative impacts of online social networking. To address harmful effects, parental controls are becoming more crucial, yet Sri Lankan parents are less aware of this. Consequently, this study proposes a parental control system to monitor their child's activities. Android, Microsoft Azure, Java, Python, OpenCV, MySQL, and FastAPI are among the most prominent technologies utilized in the proposed application's development. The suggested approach focuses primarily on the Sri Lankan context and aims to enhance parental digital literacy while safeguarding children from cyber threats. Yielded results showed the proposed mobile application for the identification of toxic words, drugs & alcohol content, game character images, and Instagram Sinhala comments severity as 94%, 95%, 97%, and 55% respectively in controlled experiments. © 2022 IEEE.

关键词： Control systems

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Optimal Quad Channel Long Short-Term Memory Based Fake News Classification on English Corpus

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computer systems Science & Engineering 2023年第9期46卷 3303-3319页

作者： Manar Ahmed Hamza Hala J.Alshahrani Khaled Tarmissi Ayman Yafoz Amal S.Mehanna Ishfaq Yaseen Amgad Atta Abdelmageed Mohamed I.Eldesouki Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11845Egypt Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

The term‘corpus’refers to a huge volume of structured datasets containing machine-readable *** texts are generated in a natural communicative *** explosion of social media permitted individuals to spread data with minimal examination and filters *** to this,the old problem of fake news has *** has become an important concern due to its negative impact on the *** manage the spread of fake news,automatic recognition approaches have been investigated earlier using Artificial Intelligence(AI)and Machine Learning(ML)*** perform the medicinal text classification tasks,the ML approaches were applied,and they performed quite ***,a huge effort is required from the human side to generate the labelled training *** recent progress of the Deep Learning(DL)methods seems to be a promising solution to tackle difficult types of Natural Language Processing(NLP)tasks,especially fake news *** unlock social media data,an automatic text classifier is highly helpful in the domain of *** current research article focuses on the design of the Optimal Quad ChannelHybrid Long Short-Term Memory-based Fake News Classification(QCLSTM-FNC)*** presented QCLSTM-FNC approach aims to identify and differentiate fake news from actual *** attain this,the proposed QCLSTM-FNC approach follows two methods such as the pre-processing data method and the Glovebased word embedding ***,the QCLSTM model is utilized for *** boost the classification results of the QCLSTM model,a Quasi-Oppositional Sandpiper Optimization(QOSPO)algorithm is utilized to fine-tune the *** proposed QCLSTM-FNC approach was experimentally validated against a benchmark *** QCLSTMFNC approach successfully outperformed all other existing DL models under different measures.

关键词： English corpus fake news detection social media natural language processing artificial intelligence deep learning

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An Improvised Genetic Algorithm Technique on Task Scheduling in Edge and Cloud Computing systems 15

An Improvised Genetic Algorithm Technique on Task Scheduling...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Pitty, Nagarjuna Hemalatha, N. Venkata Ramana, K. Sajitha, L.P. Ramesh Babu, P. Babu, M.Dinesh Indian Institute of Science Karnataka Bengaluru India Tamilnadu Chennai India QIS College of Engineering and Technology Department of CSE Andrapradesh Ongole India R.M.K Engineering College Department of Computer Science and Business System Tamilnadu Kavaraipettai India Wollega University College of Engineering and Technology Department of Computer Science Oromia Region Nekemte Ethiopia Rajalakshmi Institute of Technology Department of Mechanical Engineering Tamilnadu Chennai India

ISBN: (纸本)9798350370249

In current years, part cloud computing systems have received huge adoption because of their capability to provide low latency and high bandwidth offerings to users. however, one of the primary challenges in these structures is green undertaking scheduling in the presence of dynamic and heterogeneous sources. To deal with this trouble, genetic set of rules (GA) optimization strategies were proposed as a potential solution. This approach utilizes genetic operators, which include mutation and crossover, to conform a populace of potential solutions and choose the best one. by way of considering various constraints and objectives, consisting of strength consumption and make span, the GA-primarily based project scheduling technique can efficaciously optimize useful resource allocation in area cloud computing structures, at the end improving their performance and resource utilization. © 2024 IEEE.

关键词： Scheduling algorithms

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Blue and Ultraviolet Light Beams with Nonlinear TiO2 Metasurfaces

Blue and Ultraviolet Light Beams with Nonlinear TiO2 Metasur...

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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Sedeh, Hooman Barati Zheng, Yuruo Gao, Jiannan Lai, Fangxing Li, Hao Xiao, Shumin Litchinitser, Natalia M. Department of Electrical and Computer Engineering Duke University DurhamNC27708 United States Ministry of Industry and Information Technology Key Lab of Micro-Nano Optoelectronic Information System Harbin Institute of Technology Shenzhen Shenzhen518055 China

We design and experimentally demonstrate the generation of blue and ultraviolet third-harmonic generation from a TiO2 metasurface supporting quasi-bound state in the continuum with 0.2% conversion efficiency. © O... 详细信息

关键词： Nonlinear optics

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Multi Attributes Recognition from Human Gait Analysis using MotionSense Dataset

Multi Attributes Recognition from Human Gait Analysis using ...

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2022 Mohammad Ali Jinnah University International Conference on Computing, MAJICC 2022

作者： Ibrar, Kainat Shaikh, Anam Zafar, Shakeel University of Wah Wah Department of Computer Science Pakistan Mehran University of Engineering and Technology Department of Computer System Engineering Jamshoro Pakistan UET Taxila Department of Computer Engineering Taxila Pakistan

ISBN: (数字)9781665475198

ISBN: (纸本)9781665475198

Human Gait analysis is a very prodigious and flourishing field of research nowadays, due to its immense importance in clinical and medical studies, rehabilitation, security and surveillance, crime investigation, health, sports, development of marketing applications and product optimization etc. Every human has a distinctive gait pattern, which with critical scrutiny may exhibit a lot of information about his identity and personal traits. Although researchers have made remarkable efforts in this field of research but there is a lack of work regarding sensorial gait analysis for identifying multi-attributes of a person. This paper proposes a novel framework to recognize multi-attributes i.e., user, gender, age and weight of a person based on gait analysis using smartphone built-in sensors including accelerometer, gyroscope and motion sensor. We have used an existing dataset named 'MotionSense' for human activity and attributes recognition. Multi-class machine learning algorithms are applied for training the dataset. We have achieved the accuracy of 99.75% for User, 99.74% for gender, 99.61% for age and 99.74% for weight recognition respectively. Experimental results and performance evaluation of the applied machine learning classifiers reveals the efficacy of the proposed scheme. © 2022 IEEE.

关键词： Classification (of information)

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Controller Design And Modelling of UAV Quadcopter 4

Controller Design And Modelling of UAV Quadcopter

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4th International Multidisciplinary Information technology and Engineering Conference, IMITEC 2024

作者： Maijama'a, Ladan Jiya, Jibril Danladi Anene, Ejike C. Miya, Hassan Sabo School of Engineering Technology Federal Polytechnic Department of Computer Engineering Bauchi Nigeria Abubakar Tafawa Balewa University Department of Electrical and Electronics Engineering Bauchi Nigeria Abubakar Tafawa Balewa University Department of Mechatronics and System Engineering Bauchi Nigeria

ISBN: (纸本)9798350387988

The dynamics of a quadcopter unmanned aerial vehicle (UAV) and proportional integral derivative (PID) control based on disturbance rejection are mathematically modelled in this work. The model presented is a nonlinear in nature and modelled with respect to the two fundamental frames of reference and physical mathematical laws. The objective is to create the most accurate replica of the vehicle. The created model is utilized to develop a PID controller method that will precisely and steadily operate the quadrotor system. The development of a controller is to obtain stability in the quadcopter system. First, the nonlinear and couple model quadcopter were established, and control described the principles of the ability of decoupling rejection control then the model was decoupled. The system contains four input forces, which are basically the thrust provided by each propeller coupled to each rotor with a fixed angle. Pitch angle must change in order to maintain forward (backward) motion, which is accomplished by simultaneously increasing (decreasing) front (rear) rotor speed and decreasing (increasing) rear (front) rotor speed. The same method is used to change the roll angle for left and right motion. The motors in the front and rear spin counter-clockwise, while the motors in other motor positions rotate clockwise. This causes the yaw command to be generated by either raising or reducing the speed of the counter-clockwise motors while reducing or increasing the speed of the clockwise motors. The achieved goal here is the derivation of a model that properly reflects the physical properties enabling realistic simulations and is simple enough to be applied to controller design in the future. The system and controller's mathematical models were converted to matching Simulink models in order to make system simulations and investigations easier. The results show the accuracy and significant disturbance rejection of the nonlinear model. © 2024 IEEE.

关键词： Three term control systems

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DUCG-based Spacecraft Fault Diagnosis Methodology 3

DUCG-based Spacecraft Fault Diagnosis Methodology

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3rd International Conference on Communication technology and Information technology, ICCTIT 2023

作者： Li, Hongfei Yao, Quanying Liu, Peng Zhang, Zhan Qiu, Rui Zhang, Mingjiang Spacecraft On-orbit Operation Center Beijing Institute of Spacecraft System Engineering Beijing China Technology Department Yutong Intelligence Technology Co. Ltd. Beijing China Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9798350359664

In order to solve the problems of intelligent fault diagnosis of spacecraft, this paper builds a diagnostic model based on Dynamic Uncertain Causality Graph (DUCG). This model solves the issues with data-driven and model-based methods, such as poor interpretability, high data dependence, and low diagnostic correctness. The DUCG methodology relies on the expertise of the domain experts to demonstrate uncertainties between the spacecraft telemetry parameters and possible faults in a graphic way. Notably, DUCG exhibits high diagnostic accuracy and interpretability, even in the absence of existing fault data. The diagnostic model developed utilizing the DUCG contains a total of 29 faults and 110 telemetry parameters. Empirical findings indicate that the model achieves a remarkable accuracy rate of 100%. The research results in this paper are of great significance for the development and promotion of spacecraft fault diagnosis technology. © 2023 IEEE.

关键词： Failure analysis

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A Data-Driven Approach to Habit Prediction: Computational Modeling and Emotion Analytics

A Data-Driven Approach to Habit Prediction: Computational Mo...

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Data Science, Agents & Artificial Intelligence (ICDSAAI), International Conference on

作者： N. Kirubakaran Nandhikaa Narayani G Harsini S G Chandrahasini S Sahana G Department of Computer Science and Business System Chennai Institute of Technology Chennai Tamilnadu India

ISBN: (数字)9798331537555

ISBN: (纸本)9798331537562

This paper introduces a computational model for gathering data from diverse sources to improve both group and individual communication by integrating visual and audio inputs, emotional sensitivity metrics, and performance evaluations. The ET model analyzes complex data patterns and draws insights into the emotional response using emotional level tokens. The proposed approach will help organizations develop decision-support software to integrate human-data interaction into business processes, which in turn accelerates decision-making and offers a competitive advantage by using emotional analysis to produce actionable business knowledge.

关键词： Performance evaluation Visualization Analytical models Sensitivity Computational modeling Organizations Predictive models Data models Software Emotional responses

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Transformer Internal and Inrush Current Fault Detection Using Machine Learning

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Intelligent Automation & Soft Computing 2023年第4期36卷 153-168页

作者： R.Vidhya P.Vanaja Ranjan N.R.Shanker Department of Electronics and Communication Engineering Loyola-ICAM College of Engineering and TechnologyChennai600034India Embedded System Technologies Department of Electrical and Electronics EngineeringCollege of EngineeringGuindyChennai 600025India Department of Computer Science and Engineering Aalim Muhammed Salegh College of EngineeringChennai 600055India

Preventive maintenance in the transformer is performed through a dif-ferential relay protection system,and it protects the transformer from internal and external ***,the Current Transformer(CT)in the differential protec-tion system mal-operates during inrush *** saturates due to magnetizing inrush currents and causes false tripping of the differential ***,iden-tiﬁcation of tripping in protection relay either due to inrush current or internal faults needs to be *** the above problem,continuous monitoring of transformer breather and CT terminals with thermal camera helps detect the trip-ping in relay due to inrush or internal *** transformer’s internal fault leads to high breathing process in the transformer breather,never for inrush *** inrush currents,CT temperature is *** monitoring of breather and CT of the transformer through thermal imaging and radiometric pix-els detect the causes of CT saturation and differentiates *** wavelet threshold image analytics(HWT-IA)based radiometric pixels analysis of the transformer breather and CT after de-noising provides an accurate result of about 95%for identiﬁcation of the false tripping of differential protection system of transformer.

关键词： Wavelet threshold inrush transformer breather current transformer thermal image

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An Elite Archive-Assisted Multi-Objective Evolutionary Algorithm for mRNA Design 13

An Elite Archive-Assisted Multi-Objective Evolutionary Algor...

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13th IEEE Congress on Evolutionary Computation, CEC 2024

作者： Hong, Wenjing Chen, Cheng Zhu, Zexuan Tang, Ke Shenzhen University National Engineering Laboratory for Big Data System Computing Technology Shenzhen China Research Institute of Trustworthy Autonomous Systems Southern University of Science and Technology Shenzhen China Southern University of Science and Technology Department of Computer Science and Engineering Shenzhen China

ISBN: (纸本)9798350308365

Messenger RNA (mRNA) vaccines have emerged as highly effective strategies in the prophylaxis and treatment of diseases. mRNA design, a key to the success of mRNA vaccines, in-volves finding optimal codons and increasing secondary structure stability to lengthen mRNA half-life, ultimately enhancing protein expression. Despite receiving widespread attention, most methods primarily rely on manual design, which is time-consuming and labor-intensive. While optimization approaches can alleviate this issue, existing methods still exhibit critical limitations caused by conflicts between codon usage and mRNA structural stability, compounded by the vast design space of mRNA resulting from the presence of synonymous codons. In this paper, a novel multi-objective evolutionary optimization-based mRNA design method is proposed. We first formulate the mRNA design problem as a multi-objective optimization problem and then develop an Elite Archive-Assisted Multi-Objective Evolutionary algorithm for mRNA Design, namely EAA-MOED, by incorporating a novel elite archive-assisted method into a weighted optimization framework to improve search efficiency. Experimental studies, involving two state-of-the-art mRNA design methods and five well-known MOEAs, show the competitiveness of the proposed EAA-MOED in mRNA design. © 2024 IEEE.

关键词： Vaccines

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