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5th International Conference on Computing and Applied Informatics, ICCAI 2020

作者： Handrizal Zamzami, Elviawaty Muisa Arif, Maulana Department of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Jl. University No. 9-A Medan20155 Indonesia

Dental and oral health is sometimes not a priority for some people, even though dental and oral diseases have a serious impact on health in general, because teeth and mouth are a place for germs and bacteria to enter, so they are likely to interfere with the health of other body organs. Periodontal disease is a gum disease caused by bacteria that damage the tissue supporting the teeth and cause tooth loss. Periodontal disease is divided into 2, namely gingivitis and periodontitis. An expert system is a system that tries to implement human knowledge on a computer so that computers can solve problems as experts do. The certainty factor method is used for calculations because the certainty factor method can solve the uncertainty of a problem by measuring a person's belief. The result of this research is an expert system that can produce the name of periodontal disease and the level of certainty for the user's disease. This application has 100% accuracy based on test results on 20 medical record data, it is obtained that the 20 data match with the results of the system diagnosis. © Published under licence by IOP Publishing Ltd.

关键词： Expert systems

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Implementation of Profile Matching Method and S-Ord Algorithm in Gadget Selection and Determination of Nearest Gadgets Store

Implementation of Profile Matching Method and S-Ord Algorith...

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International Conference on Electrical, Telecommunication and computer Engineering (ELTICOM)

作者： Dian Rachmawati Fauzan Nurahmadi Prima Tondy Arya Kurniawan Department of Computer Science Faculty of Computer Science and Information Technology Universitas Sumatera Utara Medan Indonesia

ISBN: (纸本)9798350320725

There are still many prospective gadget buyers who are still confused about their choice, due to the many variations of types and specifications of gadgets circulating in the market, plus the lack of public understanding of the importance of matching gadget specifications with the workload that the gadget will do. Usually, prospective buyers will see the specifications of the gadgets one by one manually via the internet, and sometimes it is difficult to determine which gadget is the best. Therefore, this research aims to help prospective gadget buyers determine which gadget to buy or use using profile matching method. After determining the gadget to be purchased, when the buyer wants to buy it at the nearest store, the buyer will look for one store by one without knowing whether the distance traveled is optimal. This system will help prospective buyers to find the shortest route when they want to buy gadgets at the nearest store using the Sord algorithm.

关键词： System testing Communications technology

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A novel hybrid algorithm for lucky imaging

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Research in Astronomy and Astrophysics 2021年第5期21卷 155-167页

作者： Jin-Liang Wang Bin-Hua Li Xi-Liang Zhang Faculty of information engineering and automation Kunming University of Science and TechnologyKunming 650500China Key Laboratory of Applications of Computer Technologies of the Yunnan Province Kunming University of Science and TechnologyKunming 650500China Yunnan Observatories Chinese Academy of SciencesKunming 650011China

Lucky imaging is a high-resolution astronomical image recovery technique with two classic implementation algorithms,*** selecting,shifting and adding in image space,and data selecting and image synthesizing in Fourier *** paper proposes a novel lucky imaging algorithm where with space-domain and frequency-domain selection rates as a link,the two classic algorithms are combined successfully,making each algorithm a proper subset of the novel hybrid *** results show that with the same experiment dataset and platform,the high-resolution image obtained by the proposed algorithm is superior to that obtained by the two classic *** paper also proposes a new lucky image selection and storage scheme,which can greatly save computer memory and enable lucky imaging algorithm to be implemented in a common desktop or laptop with small memory and to process astronomical images with more frames and larger *** addition,through simulation analysis,this paper discusses the binary star detection limits of the novel lucky imaging algorithm and traditional ones under different atmospheric conditions.

关键词： methods:data analysis techniques:high angular resolution techniques:image processing

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Bilateral Contract for Load Frequency and Renewable Energy Sources Using Advanced Controller

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computers, Materials & Continua 2022年第11期73卷 3165-3180页

作者： Krishan Arora Gyanendra Prasad Joshi Mahmoud Ragab Muhyaddin Rawa Ahmad H.Milyani Romany F.Mansour Eunmok Yang School of Electronics and Electrical Engineering Lovely Professional UniversityPhagwara144001PunjabIndia School of Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre for Artificial Intelligence in Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Center of Research Excellence in Renewable Energy and Power Systems King Abdulaziz UniversityJeddah21589Saudi Arabia Department of Electrical and Computer Engineering Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia King Abdullah City for Atomic and Renewable Energy(K.A.CARE) RiyadhSaudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt Department of Information Security Cryptologyand MathematicsKookmin UniversitySeoul02707Korea

Reestablishment in power system brings in significant transformation in the power sector by extinguishing the possession of sound consolidated ***,the collaboration of various manufacturing agencies,autonomous power manufacturers,and buyers have created complex installation *** regular active load and inefficiency of best measures among varied associates is a huge *** sudden load deviation will give rise to immediate amendment in frequency and tie-line power *** is essential to deal with every zone’s frequency and tie-line power within permitted confines followed by fluctuations within the ***,it can be proficient by implementing Load Frequency Control under the Bilateral case,stabilizing the power and frequency distinction within the interrelated power *** the net deviation in multiple areas is possible by minimizing the unbalance of Bilateral Contracts with the help of proportional integral and advanced controllers like Harris Hawks *** proposed the advanced controller Harris Hawk optimizer-based model and validated it on a test *** experiment results show that the delay time is 0.0029 s and the settling time of 20.86 s *** model can also be leveraged to examine the decision boundaries of the Bilateral case.

关键词： Bilateral contract load frequency control optimization harris hawks optimizer

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Face Recognition - Extensive Survey and Recommendations

Face Recognition - Extensive Survey and Recommendations

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2021 International Congress of Advanced technology and Engineering, ICOTEN 2021

作者： Razzaq, Ali Nadhim Ghazali, Rozaida El Abbadi, Nidhal Khdhair Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology Malaysia University of Kufa Education College Department of Computer Science Iraq

ISBN: (纸本)9781665412247

Nowadays, the digital environment is a fast-growing and potential realm of the world. Human verification and identification can be done online. Face recognition is the competitive method and best biometric modality for human identification and recognition in comparison to voice, iris, thumb, ear, hand, and retina scans. This is a potential emerging area that required sophisticated research in both academics and industry to think of a few powerful face detection strategies making it quite possible in computer vision. Also, it's a very challenging research area because of unconstrained environments. Though most of the existing research has provided promising solutions, some of the algorithms find it difficult to yield results under different unconstrained conditions such as lighting, expression, illuminate, pose variation, low resolution, and occlusion. This paper provides a detailed review of the past as well as current research techniques and highlights the drawbacks. Especially the model, pattern, manual, and automated feature extraction techniques have been reviewed extensively and their drawbacks are highlighted. Additionally, the performances of face recognition on the standard datasets are analyzed. Finally, recommendations are provided to overcome the existing problem faced during the time of face recognition, which will help to improve the research in the future. © 2021 IEEE.

关键词： Face recognition

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An Integration Of Wireless Communications And Artificial Intelligence For Autonomous Vehicles 3

An Integration Of Wireless Communications And Artificial Int...

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3rd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2023

作者： Raghuram, Kadambari Altarawni, Ibrahim Vijayalakshmi, K. Kumar, Ajay Jadeja, Abhijeetsinh Chandra, Pankaj Jntuk Department of Computer Science and Engineering Andhra Pradesh Kakinada India Aqaba University of Technology Applied Computing and Artificial Intelligent Department Aqaba Jordan Ramapuram Campus Srmist India INurture Education Solution Pvt. Ltd It Academics Delhi India Sankalchand Patel University Faculty of Computer Science Shri C.J. Patel College of Computer Studies India Guru Ghasi das Viswavidyalaya Dept of Information Technology Chattisgarh Bilaspur India

ISBN: (纸本)9798350399264

The pinnacle of transportation is the development of autonomous driving, which, with the help of CAVs and related traffic management systems, can eventually lead to congestion- and accident-free driving. This vision has as of late prodded extraordinary examination interest in fields including IoV, LTE-V2X, and 5G. In any case, the huge volume of traffic information that CAVs produce makes issues for both the current organizations and the approaching 5G correspondence organizations. For outside network innovations, the VMBS fills in as both a client hub and an edge processing hub. For CAVs, it fills in as a base station and a data caching hub, melding correspondence and calculation. People offer both the VMBS-empowered handset and figuring for CAVs as well as the VMBS-helped wireless innovation for other wireless gadgets to achieve this. It is underlined and addressed that there are a number of research obstacles and open questions. Last but not least, the results of the simulation show that the planned VMBS-CCNA may significantly enhance throughput, latency, and the average amount of links. © 2023 IEEE.

关键词： Autonomous vehicles

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Estimation Large-Scale Fading Channels for Transmit Orthogonal Pilot Reuse Sequences in Massive MIMO System

Estimation Large-Scale Fading Channels for Transmit Orthogon...

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

作者： Abdullah, Qazwan Shah, Nor Shahida Mohd Hamzah, Shipun Salh, Adeb Mohamad, Mahathir Nordin, Shahilah Abu, Maisarah Albaom, Mohammed Abdo Sadeq, Safwan Community College of Yareem Ibb Yemen Universiti Tun Hussein Faculty of Engineering Technology Johor Malaysia Universiti Tun Hussein Faculty of Electrical and Electronic Engineering Johor Malaysia Universiti Tun Hussein Faculty of Applied Sciences and Technology Johor Malaysia Malaysia Faculty of Electrical Engineering Pulau Pinang Malaysia University Technical Malaysia Malacca Faculty of Electronic and Computer Engineering Malacca Malacca City Malaysia Universiti Putra Serdang Faculty of Computer Science and Information Technology Department of Computer Science Malaysia Universiti Teknologi Petronas Department of Mechanical Engineering Perak Malaysia

ISBN: (数字)9781665459983

ISBN: (纸本)9781665459983

Massive multiple-input multiple-output (MIMO) is a critical technology for future fifth-generation (5G) systems. Reduced pilot contamination (PC) enhanced system performance, and reduced inter-cell interference and improved channel estimation. However, because the pilot sequence transmitted by users in a single cell to neighboring cells is not orthogonal, massive MIMO systems are still constrained. We propose channel evaluation using orthogonal pilot reuse sequences (PRS) and zero forced (ZF) pre-coding techniques to eliminate channel quality in end users with poor channel quality based on channel evaluation, large-scale shutdown evaluation, and analysis of maximum transmission efficiency. We derived the lower bounds on the downlink data rate (DR) and signal-to-interference noise ratio (SINR) that can be achieved based on PRS assignment to a group of users where the number of antenna elements mitigated the interference when the number of antennas reaches infinity. The channel coherence interval limitation, the orthogonal PRS cannot be allocated to all UEs in each cell. The short coherence intervals able to reduce the PC and improve the quality of channel. The results of the modelling showed that higher DR can be achieved due to better channel evaluation and lower loss. © 2022 IEEE.

关键词： Fading channels

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Typhoon Track Image Prediction Using a Comprehensive LSTM Attention Model in Deep Learning

Typhoon Track Image Prediction Using a Comprehensive LSTM At...

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Neural Networks, information and Communication Engineering (NNICE), International Conference on

作者： Yiping Jiang Yi Yu Yuelong Ma Jiahao Zhuang Xianze Ye Yifeng Yuan Guanpeng Su School of Computer Science Guangdong University of Science and Technology Dongguan China Faculty of Science and Technology FST University of Macau Macau SAR China School of Information and Optoelectronic Science and Engineering South China Normal University Guangzhou China Faculty of Applied Sciences Macao Polytechnic University Macau SAR China School of Computer Zhuhai College of Science and Technology Zhuhai China

Typhoons are exceptionally destructive tropical cyclones that possess the capacity to inflict significant harm upon society. For institutions engaged in risk assessment and disaster mitigation, accurately forecasting typhoon paths and trajectories is of paramount importance. In this study, we propose a Typhoon Track Image Prediction model based on a Comprehensive Long Short-Term Memory (LSTM) Attention Model in the field of Deep Learning. This model significantly improves the accuracy of typhoon track prediction. To assess its performance, we utilize typhoon data from the China Typhoon Network spanning from 1949 to 2022. The Comprehensive LSTM Attention Model is compared against other popular models such as Temporal Convolutional Networks (TCN), traditional LSTM, and Seq2Seq models for forecasting the typhoon track over a 12-hour period. The results demonstrate the superiority of our proposed model, showcasing its effectiveness in terms of superior accuracy in typhoon track prediction.

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The role of universities in enabling open innovation through the development of digital competence of faculty

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Journal of Open Innovation: technology, Market, and Complexity 2024年第4期10卷

作者： Jekabsone, Inga Anohina-Naumeca, Alla Faculty of Engineering Economics and Management Riga Technical University Latvia Faculty of Computer Science Information Technology and Energy Riga Technical University Latvia

The concept of open innovation, which involves the intentional exchange of internal and external knowledge to accelerate innovation, has been widely discussed in business management but, in recent years, has also entered the academic community. This concept aligns closely with the university's mission to advance knowledge, foster creativity, and address real-world problems. The present study aims to examine the role of universities in promoting educational innovation as a form of open innovation through developing the digital competence of faculty and using external sources of knowledge. Accordingly, this study explores the following research questions: 1) What educational innovations are facilitated by developing faculty's digital competence? 2) To what extent are these educational innovations linked to external knowledge sources? The study is based on the following research methods: scientific literature review, focus group discussion with faculty members, and conceptual model development through data triangulation. The findings position digital competence as an enabler of educational innovations and highlight the university's role in creating a conducive environment for open innovation by enabling collaboration with various actors, accessing and sharing knowledge and empowering the participation of diverse stakeholders. Moreover, the study concludes that enhancing faculty digital competence, integrating external knowledge through collaborative spaces, fostering industry partnerships, and investing in digital infrastructure can create a dynamic ecosystem that supports open innovation as an educational innovation. © 2024 The Authors

关键词： digital competence educational innovation higher education industry open innovation university

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SoulMate: Short-Text Author Linking Through Multi-Aspect Temporal-Textual Embedding (Extended Abstract)

SoulMate: Short-Text Author Linking Through Multi-Aspect Tem...

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International Conference on Data Engineering

作者： Saeed Najafipour Saeid Hosseini Wen Hua Mohammad Reza Kangavari Xiaofang Zhou School of Information Technology and Electrical Engineering Iran University of Science and Technology Tehran Iran Faculty of Computing and Information Technology Sohar University Sohar Oman Department of Computing Hong Kong Polytechnic University Hong Kong Department of Computer Science and Engineering Hong Kong University of Science and Technology Hong Kong

ISBN: (数字)9798350317152

ISBN: (纸本)9798350317169

We devise a neural network-based temporal-textual framework that generates subgraphs with highly correlated authors from short-text contents. Our approach computes the relevance score (edge weight) between authors by considering a portmanteau of contents and concepts. It then employs a stack-wise graph-cutting algorithm to extract communities of related authors. Experimental results show that our multi-aspect vector space model can gain higher performance than other knowledge-centered competitors in linking short-text authors.

关键词： Accuracy Computational modeling Data engineering Vectors Inference algorithms Data models

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