• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.11
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• pp.3063-3071
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• 1995

An experimental study has been carried out for the heat transfer and particle deposition during the Outside Vapor Deposition process. The surface temperatures of deposited layers, and the rates, efficiencies and porosities of particle deposition were measured. It is shown that the axial variation of the surface temperature can be assumed to be quasi-steady and that as the traversing speed of burner is increased, the deposition rate, efficiency and porosity increase due to the decreased surface temperature. As the flow rate of the chemicals is increased, both the thickness of deposition layers and the surface temperature increase. Deposition rate also increases, however, deposition efficiency decreases for tests done. Later passes in early deposition stage result in higher surface temperatures due to increased thickness of porous deposited layers, which cause the deposition rate, efficiency, and porosity to decrease.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.10
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• pp.1-7
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• 2019

Most of people are riding on their own bicycle due to the health and environmental pollution problems. The weight must be light in order to run farther and easier by bicycle. The durability will be reduced due to the light weight of tubes and handles at bicycle. To solve this problem, the three bicycle handle models 1, 2 and 3 were compared with each other for structural analysis. The structural analysis was carried out in this study. Among three models, model 2 and model 3 had the highest and lowest strengths at the structural analysis results, respectively. At this study result, model 1 is thought to be the balanced excellent model with no defect among three models.

• Proceedings of the KSR Conference
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• 1999.11a
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• pp.73-80
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• 1999

Belief revision involves integrating new information with the current belief. It is a ubiquitous human activity. A critical feature of belief revision lies in its sequential nature. Railroad system can be described as organic. Engine drivers take a great role in this system. Recently, Hogarth and Einhorn(1992) have Posited a belief-adjustment model for updating beliefs. Based on a sequential anchoring and adjustment strategy, the model is important fro decision makers. The sequential nature of information processing is affected by some task variables. This will be mainly explained in this paper. The purpose of this study is to examine the engine drivers' belief revision process and factors which influence on the belief revision process. The factors are the order and the experience. Thereby, this will contribute to the study of engine drivers' behavior. The result of this study is summarized as follows. The order effect due to the order of presentation of the evidence exist. The difference of belief revision is due to The experience level.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.18 no.7
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• pp.36-41
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• 2019

The design of pressure plate for automotive clutch also has been improved. The tension of the clutch spring compresses the clutch plate onto the flywheel to deliver the power. In this study, three types of pressure plate for clutch were modelled by using CATIA program, and the structural analyses due to external forces were performed with ANSYS program. It is thought that this study result can be used to verify the stability and strength according to the shape of the pressure plate.

• Transactions of Materials Processing
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• v.30 no.4
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• pp.172-178
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• 2021

The cold forging process induces material deformation in an enclosed space, generating a very high forging load. Therefore, it is mainly designed as a multi-stage process, and fatigue failure occurs in forging die due to cyclic load. Studies have been conducted previously to quantitatively predict the fatigue limit of cold forging dies, however, there was a limit to field application due to the large error range and the need for expert intervention. To solve this problem, we conducted a study on the introduction of a real-time forging load measurement technology and an automated system for quantitative prediction of die life cycle. As a result, it was possible to reduce the error range of the quantitative prediction of die life cycle to within ±7%, and it became possible to use the die life cycle calculation algorithm into an automated system.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.20 no.8
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• pp.52-59
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• 2021

In this study, we experimentally evaluated the mechanical properties and geometric form accuracy in FDM 3D printing processes based on the printing direction, building direction, and layer thickness. The specimen test results showed that the tensile strength increased by over 33% in the printing direction compared to the direction perpendicular to printing and the tensile strength becomes larger as the layer thickness decreased. Furthermore, the tensile and impact strengths in the building direction were significantly reduced due to the difference in the interlayer joining and bonding strengths of the fused material. Additionally, shrinkage of the material due to phase change induced curl distortion especially in thin and long 3D-printed products, which increased as the layer thickness increased.

• Food Science and Industry
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• v.53 no.2
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• pp.183-199
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• 2020

Traditional food is the basis of Korean food, but in the process of industrialization, Japanese soybean fermented product making method became standardization process of Korean soybean fermented product as a factory type. As a result, traditional fermented food was pushed behind the industrialization. At present, there is anxiety in the development of the fermented soybean product industry due to the gap in management level between the manufacturers, the decrease in consumption of Jangryu due to changes in dietary life, and the negative image as high salt food. In order to overcome these problems and lead continuous growth, governmental industrial development policies such as traditional liquor and Kimchi are inevitably needed. By laying the legal and institutional foundation and making good use of it in industry, it will be the foundation for continuous development in the market where fierce competition is accelerated.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.185-192
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• 2022

Forecasting and time series modelling plays a vital role in the data analysis process. Time Series is widely used in analytics & data science. Forecasting stock prices is a popular and important topic in financial and academic studies. A stock market is an unregulated place for forecasting due to the absence of essential rules for estimating or predicting a stock price in the stock market. Therefore, predicting stock prices is a time-series problem and challenging. Machine learning has many methods and applications instrumental in implementing stock price forecasting, such as technical analysis, fundamental analysis, time series analysis, statistical analysis. This paper will discuss implementing the stock price, forecasting, and research using prophet and LSTM models. This process and task are very complex and involve uncertainty. Although the stock price never is predicted due to its ambiguous field, this paper aims to apply the concept of forecasting and data analysis to predict stocks.

• Journal of the Korea Safety Management & Science
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• v.23 no.4
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• pp.67-72
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• 2021

To ensure the safety and functionality of a railroad bridge, maintaining the integrity of the bridge via continuous structural health monitoring is important. However, most structural integrity monitoring methods proposed to date are based on modal responses which require the extracting process and have limited availability. In this paper, the applicability of the existing damage identification method based on free-vibration reponses to time-domain deflection shapes due to moving train load is investigated. Since the proposed method directly utilizes the time-domain responses of the structure due to the moving vehicles, the extracting process for modal responses can be avoided, and the applicability of structural health evaluation can be enhanced. The feasibility of the presented method is verified via a numerical example of a simple plate girder bridge.

• International journal of advanced smart convergence
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• v.12 no.2
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• pp.187-192
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• 2023

Currently, our society is showing many changes due to the influence of information and communication technology (ICT). At the center of these information and communication technologies are software, intelligence, and sensing technologies. The software-related industry is steadily developing due to various software development policies implemented by the government and related organizations. Software development is desirable, but on the other hand, some negative aspects are also appearing. In this study, we proposed an objective way to infer the progress of software development for reasonable resolution of cases when a dispute related to the progress of development occurred during the software development process. The proposed solution was based on the waterfall model. The outputs generated in each process of the waterfall model are contents excluded from subjectivity. Therefore, it can be used as an objective method for calculating software development progress.