• Journal of Korea Water Resources Association
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• v.55 no.spc1
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• pp.1223-1234
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• 2022

Efforts for reducing greenhouse gas emission coping with climate change have also been performed in the field of water and wastewater works. In particular, the technical development for reducing energy has been applied in operating water distribution system. The reduction of energy in water distribution system can be achieved by reducing structural loss induced by topographic variation and operational loss induced by leakage and friction. However, both analytical and numerical approaches for analyzing energy budget of water distribution system has been challengeable because energy components are affected by the complex interaction of affecting factors. This research drew mathematical equations for 5 types of state (hypothetical, ideal, leak-included ideal, leak-excluded real, and real), which depend on the assumptions of topographic variation, leakage, and friction. Furthermore, the derived equations are schematically illustrated and applied into simple water network. The suggested method makes water utilities quantify, classify, and evaluate the energy of water distribution system.

• Journal of Korean society of Dental Hygiene
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• v.23 no.1
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• pp.33-42
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• 2023

Objectives: Based on the strengths of augmented reality (AR), this study aimed to determine the dental plaque removal efficiency of a guided brushing program in children. Methods: This randomized, controlled, double-blind crossover clinical trial evaluated the plaque removal rate after regular brushing versus AR-based guided toothbrushing in 20 children aged 5-12 years. Results: Overall, the dental plaque removal efficiency of AR-based brushing was superior to that of regular brushing (p<0.05). When classified in detail, no significant difference was noted in the plaque removal rate between the two brushing methods in the anterior region (p=0.056), whereas a significant difference in the plaque removal rate was observed in the posterior region (p<0.05). Conclusions: Based on these results, the efficacy of dental plaque removal for brushing using an AR-based smartphone application was confirmed; thus, this can be used for oral health education incorporating ICT technology in the future.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.1
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• pp.126-142
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• 2023

The purpose of this study is to develop unmanned traffic enforcement equipment and standard specifications for the prevention of traffic accidents and violations of the two-wheeled vehicle laws. To this end, we conducted a review of the problems and new technologies of the currently operating unmanned traffic enforcement equipment on two-wheeled vehicles. And through a survey, the feasibility of introducing unmanned traffic enforcement equipment for two-wheeled vehicles and the current status of technology were investigated. In addition, the two-wheeled vehicle enforcement function was implemented through field tests of the development equipment, and the addition of enforcement targets and the number recognition rate were improved through performance improvement. Based on the results of field experiments and performance evaluation, performance standards for unmanned two-wheeled vehicle traffic enforcement equipment were prepared, and in the communication protocol, two-wheeled vehicle-related matters were newly composed in the vehicle classification code and violation items to develop standards.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.3
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• pp.449-458
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• 2023

Many people think that sign language is only for people who are deaf and cannot speak, but of course it is necessary for people who want to talk with them. One of the biggest challenges in ASL(American Sign Language) alphabet recognition is the high inter-class similarities and high intra-class variance. In this paper, we proposed an architecture that can overcome these two problems, which performs similarity learning to reduces inter-class similarities and intra-class variance between images. The proposed architecture consists of the same convolutional neural network with a double configuration that shares parameters (weights and biases) and also applies the Keras API to reduce similarity learning and variance through this pathway. The similarity learning results the use of the dual CNN shows that the accuracy is improved by reducing the similarity and variability between classes by not including the poor results of the two classes.

• Journal of the Korean Institute of Gas
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• v.27 no.1
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• pp.1-12
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• 2023

Coal gasification is a process of incomplete coal combustion to produce a syngas composed of hydrogen and carbon monoxide. It is one of methods to utilize coal cleanly because the process does not emits nitrogen oxides or sulfur oxides and particulate matters. In addition, chemicals can be produced using syngas. Coal gasification is classified as IGCC (Integrated Gasification Combined Cycle), Plasma coal gasification and UCG (Underground Coal Gasification). Recently, WGS (Water Gas Shift) reactor and carbon capture system have been combined to gasifier to produce hydrogen from coal. In this study, the coal gasification and method of hydrogen production from syngas was summarized, and the hydrogen production from coal gasification project was investigated.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.33-40
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• 2009

In this thesis, for the assessment of software development process for project complexity and project size : one of digital watermarking algorithm is selected and examined. Digital watermarking provides a solution to illegal copying of digital contents and has many other useful applications, including web broadcast monitoring, transaction tracking, authentication, copy control and device control. This thesis focused on the method for customizing software development path, considering the project environments and characteristics. The selection standard of software development path is composed of process items, based on the ISO/IEC 15721 Information Technology Guide for ISO/IEC 12207 (Software Life Cycle Process) and ISO/IEC 15504 Information technology - Process assessment. To evaluate the algorithm, a system for selecting development path, which reflected algorithm, was examined.

• Journal of Industrial Convergence
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• v.21 no.3
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• pp.181-188
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• 2023

The e-Government standard framework provides overall technologies such as reuse of common components for web environment development such as domestic government/public institutions, connection of standard modules, and resolution of dependencies. However, in a standardized development environment, there is a possibility of updating old versions according to core versions and leakage of personal and confidential information due to hacking or computer viruses. This study directly analyzes security vulnerabilities focusing on websites that operate eGovFrame in Korea. As a result of analyzing/classifying vulnerabilities at the internal programming language source code level, five items associated with representative security vulnerabilities could be extracted again. As a countermeasure against this, the security settings and functions through the 2 steps (1st and 2nd steps) and security policy will be explained. This study aims to improve the security function of the e-government framework and contribute to the vitalization of the service.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.109-118
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• 2022

The purpose of this study is to identify trends in the application of artificial intelligence by analyzing upper extremity movement assessment and artificial intelligence convergence research using a systematic literature review method. The research was conducted using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Among the 380 articles searched in three databases, 8 articles were finally selected according to the selection and exclusion criteria. For the evaluation of upper extremity movement, motion performance evaluation, FMA, and ARAT were used. For quantification, data were extracted using various tools, and upper extremity movement classification, recovery prognosis prediction, and evaluation tool score were predicted using artificial intelligence. This study is meaningful in that it systematically reviewed studies that objectively evaluated upper extremity movement using artificial intelligence and identified the direction in which artificial intelligence is being applied. Based on this, the introduction of artificial intelligence technology in the assessment of upper extremity movements is expected to help objectively identify the intervention effect and the patient's recovery.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.193-198
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• 2023

We study a learner-customized lecture recommendation project using deep learning. Recommendation systems can be easily found on the web and apps, and examples using this feature include recommending feature videos by clicking users and advertising items in areas of interest to users on SNS. In this study, the sentence similarity Word2Vec was mainly used to filter twice, and the course was recommended through the Surprise library. With this system, it provides users with the desired classification of course data conveniently and conveniently. Surprise Library is a Python scikit-learn-based library that is conveniently used in recommendation systems. By analyzing the data, the system is implemented at a high speed, and deeper learning is used to implement more precise results through course steps. When a user enters a keyword of interest, similarity between the keyword and the course title is executed, and similarity with the extracted video data and voice text is executed, and the highest ranking video data is recommended through the Surprise Library.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.6
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• pp.115-123
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• 2017

The purpose of this research provides analyzes the learning attitude types by Chinese students in Korea. For this purpose, we have adopted of the practical research methodology and quantitative research methodology, which can objectively determine the individual's ideas and behavior of the "Q methodology". To this end, This research is targeted at Chinese students in the students' learning attitude implemented by 4 types and analyzes questionnaires of each type. The analysis results are categorized as the type of learning environment is not satisfied; positively cooperate with the learning process and the environment; the lack of learning motivation; and paradoxical learning state. As a result of this discussion, Chinese students should have clear motivation to learn new things; improve their korean language ability; and need to know their clear learning methods. Nowadays, more and more Chinese students are choosing study abroad. Therefore, the learning attitudes and learning abilities as two of the most important of focus from society.