Effective mixing of different-sized aggregates in mobile asphalt plant dryers is crucial for ensuring high-quality, consistent asphalt production. This study explores the application of spatial analysis techniques, particularly the Discrete Element Method (DEM), to understand and optimize the mixing process of aggregates in drum dryers. The research emphasizes the importance of proper mixing to achieve uniform moisture removal and heating across various aggregate sizes. Larger aggregates heat more slowly, while finer particles risk overheating or being carried away by air currents, necessitating careful management of the mixing process. Using LIGGGHTS, an open-source simulation framework, we conducted DEM simulations to analyze the spatial distribution and behavior of aggregates within a 3D model of a drum dryer. The study considered multiple factors affecting mixing efficiency, including drum inclination, rotational speed, and aggregate feeding frequency. Results indicate that the rotational speed of the drum dryer has the most significant impact on mixing effectiveness. The DEM simulations provided valuable insights into particle movement, heat transfer, and potential segregation issues within the dryer. Further investigations into additional factors that may influence aggregate mixing in drum dryers is recommended, paving the way for improved efficiency and quality in asphalt manufacturing.

Melon fruits exhibit a wide range of morphological variations in fruit shape, sugar content, net quality, diameter and weight, which are largely dependent on the variety. These characteristics significantly affect marketability. For netted varieties, the uniformity and pattern of the net serve as key factors in determining the external quality of the melon and act as indicators of its internal quality. In this study, we evaluated the effect of fruit morphology and growth on netting by analyzing the changes in melon fruit quality under LED light treatment and monitoring fruit growth. Computer vision analysis was used for quantitative evaluation of fruit net quality, and a three-variable logistic model was applied to simulate fruit growth. The results showed that melons grown under LED conditions exhibited more uniform fruit shape and improvements in both net quality and sugar content compared to the control group. The results of the logistic model showed minimal error values and consistent curve slopes across treatments, confirming its ability to accurately predict fruit growth patterns under varying light conditions. This study provides an understanding of the effects of fruit shape and growth on net quality.

PURPOSES : This study aims to develop and evaluate computer vision-based algorithms that classify the road roughness index (IRI) of road specimens with known IRIs. The presented study develops and compares classifier-based and deep learning-based models that can effectively determine pavement roughness grades. METHODS : A set road specimen was developed for various IRIs by generating road profiles with matching standard deviations. In addition, five distinct features from road images, including mean, peak-to-peak, standard variation, and mean absolute deviation, were extracted to develop a classifier-based model. From parametric studies, a support vector machine (SVM) was selected. To further demonstrate that the model is more applicable to real-world problems, with a non-integer road grade, a deep-learning model was developed. The algorithm was proposed by modifying the MNIST database, and the model input parameters were determined to achieve higher precision. RESULTS : The results of the proposed algorithms indicated the potential of using computer vision-based models for classifying road surface roughness. When SVM was adopted, near 100% precision was achieved for the training data, and 98% for the test data. Although the model indicated accurate results, the model was classified based on integer IRIs, which is less practical. Alternatively, a deep-learning model, which can be applied to a non-integer road grade, indicated an accuracy of over 85%. CONCLUSIONS : In this study, both the classifier-based, and deep-learning-based models indicated high precision for estimating road surface roughness grades. However, because the proposed algorithm has only been verified against the road model with fixed integers, optimization and verification of the proposed algorithm need to be performed for a real road condition.

Due to global climate change, mega-droughts have occurred frequently. Since long-term droughts make it difficult to secure the water resources, water supply needs to be restricted in a reasonable manner. In the event of limited water supply, the waterworks need to develop a restricted water supply strategy. This study showed that analyzing daily water supply could be used to respond to the first stage of a drought. According to an analysis of Korea's major water authorities, there was about 7~21% of room for daily minimum water supply in case of a drought. Restricting the water supply by lowering pressure is a good strategy for local water authorities with high water leakage rate since leakage is inversely dependent with pressure. For this method, it is necessary to quantify water deficiency and pressure at each node using a simulation. Since DDA-based software is not possible to predict changes in demand at nodes with pressure reduction, WaterGEMS, a PDA software, was used to quantitatively predict water shortages and pressures at each node. Locations where water is deficient need to install booster pumps or to be dispatched with water tank truck and bottled water. Without these support, lowering pressure could not be an option for water works. This paper suggests a method for waterworks to plan a drought by lowering pressure to restrict water supply using daily water supply analysis and PDA based simulation.

Since the interaction between the second-phase particle and grain boundary was theoretically explained by Zener and Smith in the late 1940s, the interaction of the second-phase particle and grain boundary on the microstructure is commonly referred to as Zener pinning. It is known as one of the main mechanisms that can retard grain growth during heat treatment of metallic and ceramic polycrystalline systems. Computer simulation techniques have been applied to the study of microstructure changes since the 1980s, and accordingly, the second-phase particle–grain boundary interaction has been simulated by various simulation techniques, and further diverse developments have been made for more realistic and accurate simulations. In this study, we explore the existing development patterns and discuss future possible development directions.

2018년에 수립된 제4차 영재교육진흥계획에서는 영재교육원의 역할을 특수 분야 재능계발을 위한 심화 및 사사(Research & Education, 이하 R&E) 과정 운영으로 정립하였다. 영재교육원이 영재교육을 성공적으로 수 행하기 위해서는 적절한 수준의 R&E 교육프로그램을 제공할 수 있어야 한다. 본 논문에서는 정보과학 영재들의 창의적 사고력과 문제해결능력을 향상시키기 위해 컴퓨터 게임을 직접 개발하는 R&E 교육프로그램을 제안한다. 컴퓨터 게임은 화면에 그래픽을 출력하는 기술, 캐릭터와 배경을 움직이는 애니메이션 기술, 캐릭터 간의 충돌 감지 기술, 사운드 출력, 동영상 출력, 사용자가 편리한 인터페이스 기술 등의 다양한 요소를 포함한 분야이다. 따라서 컴퓨터 게임을 직접 개발해 봄으로써 다양한 게임 요소들을 배우고 정보과학적 개념과 자료구조 등을 활용하여 알고리즘을 익힐 수 있다. 본 논문에서는 Python과 PyGame을 이용하여 켈러의 ARCS 모델에 기반한 교육용 게임을 개발하는 R&E 교육프로그램을 제안하였고, 실제 영재교육원의 중학교 정보과학반 학생들의 R&E 수업에 적용하였다. 학생들은 게임 개발 R&E 수업을 통해 실제 프로그래머들의 프로그램 개발 과정을 체험할 수 있었고, 주어진 문제 상황들이 프로그램에 의해 어떻게 표현되고 해결되는지를 탐구하였다. 또한, 학생들이 그동안 게임의 수요자로서 단순히 게임을 즐기기만 했다면, 본 R&E 수업을 통해 게임의 공급자로써 사용자의 흥미와 동기를 증가시킬 수 있는 방법을 스스로 고안하고 도입할 수 있는 기회를 얻게 되었다.

Contemporary people want to develop their bodies to enhance quality of life. Although weight-training machines have been mainly developed with this trend based on intuition and experience, this study attempted to improve and verify those products through computer simulations using the musculoskeletal model of the human body. An arm-curl machine, a weight-training machine for arm exercise, was chosen for this research and the improved exercise effects were observed. The existing exercise that moves the scapula on the axis of the elbow with raised forearm is effective for biceps but not for triceps and adjacent muscles. Thus we suggested the idea for a new concept arm-curl machine that also raises the scapula after raising the forearm. To verify the effects of this new exercise, we manufactured arm-curl linkage. The experiments found that the exercise effects of the biceps were maintained, and the exercise effects of the triceps remarkably improved. These findings verified the effects of the proposed new concept arm-curl linkage.

Background: It is difficult to assess whether community-dwelling frail older adults may remain pre-frail status or improve into a robust state without being directly checked by health care professionals. The health information perceived by older adults is considered to be one of best sources of potential concerns in older adult population. An online measurement system combined with item response theory (IRT) and computer adaptive testing (CAT) methods is likely to become a realistic approach to remotely monitor physical activity status of frail older adults. Objects: This article suggests an approach to provide a precise and efficient means of measuring physical activity levels of community-dwelling frail older adults. Methods: Article reviews were reviewed and summarized. Results: In comparison to the classical test theory (CTT), the IRT method is empirically aimed to focus on the psychometric properties of individual test items in lieu of the test as a whole. These properties allow creating a large item pool that can capture the broad range of physical activity levels. The CAT method administers test items by an algorithm that select items matched to the physical activity levels of the older adults. Conclusion: An online measurement system combined with these two methods would allow adequate physical activity measurement that may be useful to remotely monitor the activity level of community-dwelling frail older adults.

Combining digital automation solutions throughout recent manufacturing process is essential. Advanced robot and mechanical techniques are required for design, manufacture, and distribution process. Manual design of repetitive similar mechanical components during the development phase of these advanced machines and robots can occur wasting time and money. Developed gear design module, which is the power transfer system mechanical component, was programmed in the Visual Basic language in CATIA V5 environment. Automation Process is Based on Parametric Modeling Method. and it was found to be effective in reducing design time compared to designers manual modeling.

For several years, keyboard and mouse have been used as the main interacting devices between users and computer games, but they are becoming outdated. Gesture-based human-computer interaction systems are becoming more popular owing to the emergence of virtual reality and augmented reality technologies. Therefore research on these systems has attracted a significant attention. The researches focus on designing the interactive interfaces between users and computers. Human-computer interaction is an important factor in computer games because it affects not only the experience of the users, but also the design of the entire game. In this research, we develop an particle filter-based face tracking method using color distributions as features, for the purpose of applying to gesture-based human-computer interaction systems for computer games. The experimental results proved the efficiency of particle filter and color features in face tracking, showing its potential in designing human-computer interactive games.

The vehicle weight and alternative light materials development like aluminum alloys are hot issues around the world. In order to obtain the goal of the weight reduction of automobiles, the researches about lighter and stronger suspension links have been studies without sacrificing the safety of automotive components. Therefore, in present study, the structure analysis of the torque strut links made by aluminum alloys (A356) was performed by using CAE (computer aided engineering) to investigate the light weight design process from the reference of the rear suspension torque strut link which was made by STKM11A steel and was already proven in the commercial market. Especially, the simulated maximum von Mises stresses after strength analysis were normalized as fatigue limit and these were converted to the WF (weight factor) of the same type as the fatigue safety factor suggested and named like that in present study. From these, it was suggested that the fatigue properties of the torque strut could be simply predicted only from this static CAE simulation.

In order to obtain the goal of the weight reduction of automobile components, the researches about lighter and stronger wheel carriers have been studied without sacrificing the safety of them. In this study, the weight reduction design process of wheel carrier could be proposed based on the variation of von-Mises stress contour by substituting an AA6061 (aluminum 6061 alloy) having tensile strength of 310 MPa grade instead of FCD600 Irons. From the stress analysis results before and after design modification, the stress relaxation was done at every given loading conditions. Therefore, it could be reached that this approach method could be well established and be contributed for light-weight design guide and the optimum design conditions of the automotive wheel carrier development.

The purpose of this study was to investigate the environmental factors that affect the computer literacy of childcare teachers. A survey was conducted to get information about teachers' ICT utilization ability and their physical and educational condition. Binary logistic regression analysis was performed using SPSS 17.0 program on the data of 293 teachers who work in childcare centers in capital area, and the following results were obtained. First, computer-related physical environment and computer training did not affect the teachers' computer literacy. Second, taking computer course had effects on the basic skills, word-processing ability, internet communication ability and computer program utilization. Third, the number of hours of using computers affected the ability to install and maintain computers. Fourth, the purchase of computer-related books and magazines and the number of computer programs they use had an effect on their computer program utilization. These results have significance in that they imply what is needed for improving childcare teachers' computer literacy in terms of institutional support.

PURPOSES : It is well known that experts determined the current standard dimensions of freeway lane markings. However, rigorous engineering rationale could be insufficient regarding whether or not the standard dimensions account for how visible the markings are to the driver. In this study, we seek to optimize the dimensions of freeway lane markings to improve their visibility to drivers. METHODS: The study was conducted as follows. First, alternative lane marking dimensions were selected which could be installed in a test construction site. Second, a video recording was made while driving on the test construction site. Third, subjects were shown the recorded video and then instructed to indicate their preference from among the various lane markings. Lastly, t-tests were applied to assess the statistical significance of differences in the preferences expressed. RESULTS : According to the t-test results, there was no significant difference in the preferences expressed regarding the lane marking widths. However, with regard to the dimensions of freeway lane marking, which represents line marking lengths, gap lengths, and widths of marking, the subjects expressed a preference for specific dimensions such as 6 m:12 m,13 cm, 8 m:12 m,10 cm and 6 m:12 m,10 cm. CONCLUSIONS : In considering the dimensions of freeway lane markings and their relation to visibility by the driver, it was found that dimensions such as 6 m:12 m,13 cm, 8 m:12 m,10 cm and 6 m:12 m,10 cm.

Employees used computer significantly(IT employee) is increased by technological development in workplace. This study tried to find the magnitude of IT employees and the profile of their working conditions and ill health experiences in South Korea. Korean Working Conditions Survey was used with descriptive and mean difference test in order to find the difference working conditions and ill health status among the groups classified by the degree of using computer during work. Some of working conditions was positively correlated with the density of computer use such as work autonomy, the exposure of repetitive movement of hand and arms. The pain of upper extreme was also more frequently found in the highest user group of computer than lower user groups. Based on the result of hierarchical regression analysis, the effect of computer using on the experience of work-related symptoms after controlling other factors was shown as U shape. This study as heuristic one suggest that some of depth analysis with hypothesis will be done to identify the causes and pathway of impact of computer use.

For a die casting mold, generally, the casting layout design should be considered based on the relation among injection system, casting condition, gate system, and cooling system. Also, the extent or the location of product defects was differentiated according to the various relations of the above conditions. In this research, in order to optimize the casting layout design of an automotive Oil Pan_DX2E, Computer Aided Engineering (CAE) simulation was performed with two layout designs by using the simulation software (AnyCasting). The simulation results were analyzed and compared carefully in order to apply them into the production die-casting mold. During the filling process with two models, internal porosities caused by air entrapments were predicted and also compared with the modification of the gate system and overflow. With the solidification analysis, internal porosities occurring during the solidification process were predicted and also compared with the modified gate system.