• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.17 no.8
• /
• pp.344-351
• /
• 2016

In the point of view of a train operator, the main concern with a train operation is not only to maintain a time schedule, but also to decrease the energy consumption as much as possible. Generally for a manual drive, a train conductor controls the train acceleration and deceleration by controlling the notches not to exceed the regulation velocity by considering the given maximum velocity profile for an operation route. For this case, the guideline for a conductor is needed to choose the proper notches by applying the notch optimization so as to drive at the regulation velocity and minimize energy consumption simultaneously. In this paper, the real-time notch optimization plan is suggested using a genetic algorithm that optimizes the notches for the remaining route in real time when the event occurs that track information or regulation velocity profile of the remaining route changes during train operation as well as a normal operation situation. An energy saving effect and the convergence behavior of the optimal solution obtained was analyzed in a genetic algorithm.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.16 no.4
• /
• pp.2379-2384
• /
• 2015

Bellows product is an important part in the area of plant engineering, shipbuilding and petrochemistry. For safety and durability it is necessary to consider lots of factors when designing it. This research developed a U-shaped metal bellows design software based on EJMA 9th Edition manual. This GUI software was developed by using Matlab software and can be able to design four types of bellows, Unreinforced Single Bellows, Unreinforced Double Bellows, Reinforced Single Bellows and Reinforced Double Bellows. The already proven bellows model was designed to verify this software. We investigated the behavior while changing the thickness of the bellows. As the thickness of bellows increases, spring rate, thrust force, stress increase and fatigue life decreases. This software will be helpful design engineers save time and effort.

• Journal of Korean Academy of Fundamentals of Nursing
• /
• v.9 no.3
• /
• pp.349-359
• /
• 2002

Purpose: The purpose of this study was two-fold : to describe the level of recognition of nosocomial respiratory infections by ICU nurses and to compare self evaluation and objective evaluation of nosocomial respiratory infection control practices by ICU nurses. Method: Data were collected from 78 nurses in intensive care units in one university affiliated hospital in Kyung Ki Province. Data were collected from March 4 to March 18, 2002. The recognition and self evaluation data were collected through a self report questionnaire and an objective evaluation which was done by observing the actual behavior of the nurses. Result: The results of this study showed that there was a significant positive relationship between recognition scores and self evaluation scores. However, there was no significant relationship between level of recognition and objective evaluation, nor between self evaluation and objective evaluation of infection control Practices by ICU nurses. Conclusion: ICU nurses In this study gave higher scores on self evaluation of their practice than were shown in the observation evaluation of actual practice. Moreover, in the objective evaluation the nurses had the lowest score on the item, 'washing hands before taking care of patients'. The results indicate that it is necessary to develop a standardized practice manual on nosocomial respiratory infection control in the ICU. Also, it is necessary to have a program to transfer knowledge into actual practice.

• Journal of Fashion Business
• /
• v.6 no.3
• /
• pp.28-40
• /
• 2002

For modern man and woman, footwear is considered a fashion for expressing oneself, and not merely a protective tool for the feet. The purpose of this research is to increase the effect of sales promotional activities by emphasizing product image and by enhancing sales environment. Towards this end, this research focuses on the study of environment at footwear stores that meet the challenges incurred by the changing lifestyles of consumers and the ensuing dynamics of the society in general. Research is based on an in-depth, thorough study of the previous research works and entails examining theoretical background and the concept of Visual Merchandising Display (VMD). Research will focus on the analysis of current situation at footwear stores located in department store based on material research on footwear stores and theoretical examination. Research on the current situation of footwear stores at department store will be conducted from the VMD perspective. In the end, this research paper will make suggestions on the VMD measures for footwear stores with the aim of increasing sales by satisfying consumers' sensibility and purchasing desire. Suggestions will be made based on the results of the research. -Study of current VMD status per fixture centered on 18 brands at department store -Suggestions for VMD at footwear stores based on the survey results of customer purchasing behavior This research intends to develop structured VMD methodology for footwear stores based on the research centered on VMD research of footwear stores at department store. Significance of this research lies in its aim to contribute to the sales increase, no matter how trivial it might be. Going a step further, this research work could be considered one of the foundations for defining the role of VMD methodology at footwear stores. Suggested results are as follows. (1) Need to cast away from simple, one-dimensional type of display method at footwear stores and transform into product image oriented VMD (2) Need to highlight product image by fully leveraging props and by developing footwear display methods that are suitable for different types of fixtures (3) Need to stabilize VMD by developing footwear manual that enables efficient management by store operator.

• Journal of Ocean Engineering and Technology
• /
• v.30 no.4
• /
• pp.277-286
• /
• 2016

The first part of this study found the tendencies of the mechanical properties of two arctic structural steels (EH32 and FH32). In the second part, the crashworthiness of stiffened panels scaled down from the side frame structure of a Korean research icebreaker was determined. A procedure for designing the shapes and sizes of the stiffened panels, mass and shape of a drop striker, and a large temperature chamber, and then manufacturing these, is introduced in detail. From impact bending tests for the stiffened panels, the residual permanent deformations and deformation histories over time were captured using manual measurement and video image analyses. Numerical simulations of the impact bending tests were carried out for three different finite element models, which were mainly composed of shell elements, solid elements, and solid elements, with welding beads. It was proven from a comparison of the test results and numerical simulation results that the solid element model with the welding bead consideration approached the test results in terms of the residual deformations as long as the strain rate effect was taken into account.

• Proceedings of the National Institute of Ecology of the Republic of Korea
• /
• v.3 no.2
• /
• pp.67-72
• /
• 2022

Ecological research relies on the interpretation of large amounts of visual data obtained from extensive wildlife surveys, but such large-scale image interpretation is costly and time-consuming. Using an artificial intelligence (AI) machine learning model, especially convolution neural networks (CNN), it is possible to streamline these manual tasks on image information and to protect wildlife and record and predict behavior. Ecological research using deep-learning-based object recognition technology includes various research purposes such as identifying, detecting, and identifying species of wild animals, and identification of the location of poachers in real-time. These advances in the application of AI technology can enable efficient management of endangered wildlife, animal detection in various environments, and real-time analysis of image information collected by unmanned aerial vehicles. Furthermore, the need for school education and social use on biodiversity and environmental issues using AI is raised. School education and citizen science related to ecological activities using AI technology can enhance environmental awareness, and strengthen more knowledge and problem-solving skills in science and research processes. Under these prospects, in this paper, we compare the results of our early 2013 study, which automatically identified African cichlid fish species using photographic data of them, with the results of reanalysis by CNN deep learning method. By using PyTorch and PyTorch Lightning frameworks, we achieve an accuracy of 82.54% and an F1-score of 0.77 with minimal programming and data preprocessing effort. This is a significant improvement over the previous our machine learning methods, which required heavy feature engineering costs and had 78% accuracy.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
• /
• v.33 no.3
• /
• pp.67-72
• /
• 2022

Objectives: This study investigated the reliability and validity of the Korean version of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Level 2 Cross-Cutting Symptom Measure-Patient-Reported Outcomes Measurement Information System (PROMIS)-Depression and the Irritability for parents of children aged 6-17 years. Methods: Participants were 190 children diagnosed with depressive disorder (n=14), anxiety disorder (n=21), attention-deficit/hyperactivity disorder (ADHD; n=111), ADHD with anxious depression (n=13), and tic disorder with somatic symptoms (n=31). Patients were 8-15 years of age. The participants' mothers completed the Korean versions of the DSM-5 Level 2 Cross-Cutting Symptom Measure-PROMIS Depression and Irritability (Affective Reactivity Index, ARI), and the Korean Child Behavior Checklist (K-CBCL). Using these data, we calculated the reliability coefficient and examined the concurrent and discriminant validity of the PROMIS Depression and the Irritability (ARI) scales for assessing depression and irritability in children. Results: The reliability coefficient of the PROMIS Depression scale (Cronbach's α) was 0.93. The correlation coefficient with the K-CBCL DSM emotional problem score was 0.71. The PROMIS Depression scale significantly discriminated children with depressive disorders from those with other conditions. The reliability coefficient of the Irritability (ARI) scale was 0.91, suggesting its high reliability. Conclusion: Our results suggest that the Korean version of the DSM-5 Level 2 Cross-Cutting Symptom Measure for Depression and Irritability Scales for parents of children aged 6-17 years is reliable and valid and may be an efficient alternative to the K-CBCL.

• Journal of Internet of Things and Convergence
• /
• v.10 no.2
• /
• pp.25-41
• /
• 2024

For the scenario of open pit mining, at present, manual periodic verification is mainly carried out in China with the help of video surveillance, which requires continuous investment in labor cost and has poor timeliness. In order to solve this difficult problem of early warning and monitoring, this paper researches a spatialized algorithmic model and designs an early warning system for open-pit mine transboundary mining, which is realized by calculating the coordinate information of the mining and extracting equipments and comparing it with the layer coordinates of the approval range of the mines in real time, so as to realize the determination of the transboundary mining behavior of the mines. By taking the Pingxiang area of Jiangxi Province as the research object, after the field experiment, it shows that the system runs stably and reliably, and verifies that the target tracking accuracy of the system is high, which can effectively improve the early warning capability of the open-pit mines' overstepping the boundary, improve the timeliness and accuracy of mine supervision, and reduce the supervision cost.

• Structural Engineering and Mechanics
• /
• v.90 no.3
• /
• pp.313-323
• /
• 2024

Most of existing buildings in Mexico City are made of reinforced concrete (RC), however, it has been shown that they are very susceptible to narrow-band long duration ground motions. In recent years, the use of dual systems composed by Buckling Restrained Braces (BRB) has increased due to its high energy dissipation capacity under reversible cyclical loads. Therefore, in this work the behavior of RC buildings with BRB is studied in order to know their performance, specifically, the energy distribution through height and response transformation factors between the RC and simplified systems are estimated. For this propose, seven RC buildings with different heights were designed according to the Mexico City Seismic Design Provisions (MCSDP), in addition, equivalent single degree of freedom (SDOF) systems were obtained. Incremental dynamic analyses on the buildings under 30 narrow-band ground motions in order to compute the relationship between normalized hysteretic energy, maximum inter-story drift and roof displacement demands were performed. The results shown that the entire structural frames participate in energy dissipation and their distribution is independent of the global ductility. The results let propose energy distribution equations through height. Finally, response transformation factors between the SDOF and multi degree of freedom (MDOF) systems were developed aimed to propose a new energy-based approach of BRB reinforced concrete buildings.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.11
• /
• pp.86-93
• /
• 2020

The demand for maintenance in Korea infrastructure facilities constructed since the 1970s has increased significantly compared to the demand for new construction. Moreover, after the Gyeongju and Pohang earthquakes, seismic performance evaluation, repair, and retrofitting projects have been carried out. Therefore, in this study, a specimen was designed following the L-type GFRP Plate Externally Bonded Retrofit method, one among other retrofit methods. The L-type GFRP Plate was bonded to the specimen by epoxy and a washered steel nail. A four-point bending test was performed to confirm the strengthening effect of the Externally Bonded Retrofit method using an L-type GFRP Plate. The strengthening effect of the L-type GFRP plate was proven experimentally, and the behavior of the beam designed following the L-type GFRP Plate Externally Bonded Retrofit method was evaluated according to Korea's "Design Manual & Specification for Strengthening of RC Structures by Advanced Composites System". Furthermore, the effectiveness of the bonding method, a combination of epoxy and washered steel nail, was also checked. The results showed that the design, according to the guidelines mentioned above, predicted the strength of the member well, but the failure mode did not satisfy the design assumption because of unexpected damage to the GFRP plate due to the fixing method, washered steel nail.