• The Journal of Korean Academy of Sensory Integration
• /
• v.20 no.1
• /
• pp.1-13
• /
• 2022

Objective : The purpose of this study was to investigate the effects of group Cognitive Orientation to daily Occupational Performance (CO-OP) on the occupational performance and social interaction skills of children with Cerebral Palsy (CP). Methods : A single-case experimental study with an ABA design was conducted from April to June 2021, targeting three children with cerebral palsy who met the study selection criteria. The baseline period consisted of 3 intervention sessions until the data were stabilized, and the intervention period consisted of 10 sessions (once a week, 60 minutes/session). For comparison before and after the intervention, motor development, visual perception, and daily life behavior were evaluated. To evaluate the quality of each session, a performance quality evaluation scale was used. Results : In all 3 subjects, the quality of work performance in the three common goal activities improved. The evaluation scores for visual perception, large and small movements, and daily activities were also improved. Conclusion : This study provided evidence that group CO-OP can improve the pre-academic skills and occupational performance of children with CP.

• Korean Journal of Remote Sensing
• /
• v.38 no.6_1
• /
• pp.1015-1023
• /
• 2022

The Entry-Descent-Landing process of a lander involves many environmental and technical challenges. To solve these problems, recently, terrestrial relative navigation (TRN) technology has been essential for landers. TRN is a technology for estimating the position and attitude of a lander by comparing Inertial Measurement Unit (IMU) data and image data collected from a descending lander with pre-built reference data. In this paper, we present a method for generating descent dataset and extracting landmarks, which are key elements for developing TRN technologies to be used on Mars. The proposed method generates IMU data of a descending lander using a simulated Mars landing trajectory and generates descent images from high-resolution ortho-map and digital elevation map through a ray tracing technique. Landmark extraction is performed by an area-based extraction method due to the low-textured surfaces on Mars. In addition, search area reduction is carried out to improve matching accuracy and speed. The performance evaluation result for the descent dataset generation method showed that the proposed method can generate images that satisfy the imaging geometry. The performance evaluation result for the landmark extraction method showed that the proposed method ensures several meters of positioning accuracy while ensuring processing speed as fast as the feature-based methods.

• The Journal of Korean Academy of Prosthodontics
• /
• v.60 no.4
• /
• pp.362-373
• /
• 2022

For a full-mouth fixed prosthetic treatment of the edentulous patient, it is essential to confirm the proper tooth position and thorough evaluation of the remaining alveolar bone and soft tissue before surgery. CAD-CAM dentistry and guided implant surgery have such advantages of providing simultaneous planning of surgery and prosthetic treatment to ensure pre-knowledge of the treatment. In this clinical case, using the digital technology, digital temporary denture fabrication, esthetic evaluation before fixed prostheses treatment, and guided surgery planning was possible. After the surgery, previously obtained data was used for fabricating fixed temporary prostheses. Definitive zirconia prostheses transferred from the provisional prostheses were fabricated and functionally and esthetically satisfying results were obtained.

• Journal of Food Hygiene and Safety
• /
• v.37 no.6
• /
• pp.411-417
• /
• 2022

The purpose of this study was to evaluate protein hydrolysis and the amino acid ratio among different cuts of goat meat, such as the foreleg, hindleg, loin, and rib, using an in vitro digestion model. The corresponding cuts of beef and pork were used to compare with the goat meat. The hindleg (8.32%) and rib (8.32%) had the highest levels of protein hydrolysis among the goat cuts. There was no significant difference in protein hydrolysis between goat and pork (8.57%), ribs (P > 0.05), which had higher levels of protein hydrolysis than the beef ribs. Before digestion, the glutamine (53.44%) and glycine (11.03%) ratios were highest in the pre-digested goat foreleg and loin (P < 0.05). After in vitro digestion, goat ribs had the highest lysine ratio (17.54%) among the different cuts, and the lysine ratio was significantly higher in goat ribs than beef ribs (P < 0.05). This study provides basic data on protein hydrolysis and the amino acid composition of different cuts of goat meat, which may facilitate the evaluation of protein digestion patterns and bioavailability.

• Journal of Environmental Impact Assessment
• /
• v.32 no.4
• /
• pp.230-241
• /
• 2023

At a time when it is urgent to establish a management system for landscape quality assessment of offshore wind farms in Korea, we analyzed foreign cases to draw implications for improving the landscape quality assessment of offshore wind farms in Korea and to explore the direction of efficient landscape assessment. The main contents derived from the analysis of overseas cases and systems are as follows. First, offshore wind farms are large-scale projects, and it is necessary to consider the landscape from the pre-planning stage, as in overseas cases. Second, the evaluation items for marine landscape quality should be expanded and systematized. Third, a flexible evaluation system that can consider new landscape impacts is required. In order to identify the landscape impacts of offshore wind farm projects, we refer to the landscape assessment items and procedures derived from overseas cases, but reflect them appropriately to the domestic maritime conditions, and specifically introduce a plan to minimize the landscape impacts that may occur during offshore wind farm projects to contribute to the sustainable use of offshore wind power.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.50 no.6
• /
• pp.42-57
• /
• 2022

This study aims to create a basic model for classifying the activity photos that urban park users shared on social media using Deep Learning through Artificial Intelligence. Regarding the social media data, photos related to urban parks were collected through a Naver search, were collected, and used for the classification model. Based on the indicators of Naturalness, Potential Attraction, and Activity, which can be used to evaluate the characteristics of urban parks, 21 classification categories were created. Urban park photos shared on Naver were collected by category, and annotated datasets were created. A custom CNN model and a transfer learning model utilizing a CNN pre-trained on the collected photo datasets were designed and subsequently analyzed. As a result of the study, the Xception transfer learning model, which demonstrated the best performance, was selected as the urban park user activity image classification model and evaluated through several evaluation indicators. This study is meaningful in that it has built AI as an index that can evaluate the characteristics of urban parks by using user-shared photos on social media. The classification model using Deep Learning mitigates the limitations of manual classification, and it can efficiently classify large amounts of urban park photos. So, it can be said to be a useful method that can be used for the monitoring and management of city parks in the future.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.29 no.6D
• /
• pp.693-702
• /
• 2009

In the Seoul metropolitan area (SMA), transportation sector is the largest source of air pollutant emissions. Of the total amount of air pollutant emissions in the SMA, about 52% of the particulate matter emissions and 59% of the nitrogen oxide emissions are from superannuated heavy diesel vehicles. To lessen the air pollutant emissions from superannuated heavy vehicles in the SMA, this study devised several strategies for operating Environmental Zone (EZ) program, which requires superannuated heavy diesel vehicles to install reduction equipments as well as restricts them entering part of the SMA, and evaluated the effects of different strategies on air pollution in the SMA. By using the Korean traffic statistics, an evaluation has been made of six EZ scenarios, which were devised by different target areas and vehicles. The results showed that the EZ program with retrofitting a DPF (Diesel Particulate Filter) equipment to 7-year-old heavy diesel vehicles and early scrapping of pre-1998 heavy diesel vehicles is the most efficient alternative in terms of air pollution reduction. In addition, the results showed that the magnitude of air pollution reduction increases when implementing the EZ program to all entering superannuated heavy diesel vehicles to the SMA rather than registered ones in the SMA.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.28 no.6B
• /
• pp.697-707
• /
• 2008

The grid-based KIneMatic wave STOrm Runoff Model (KIMSTORM) by Kim (1998) predicts the temporal variation and spatial distribution of overland flow, subsurface flow and stream flow in a watershed. The model programmed with C++ language on Unix operating system adopts single flowpath algorithm for water balance simulation of flow at each grid element. In this study, we attempted to improve the model by converting the code into FORTRAN 90 on MS Windows operating system and named as ModKIMSTORM. The improved functions are the addition of GAML (Green-Ampt & Mein-Larson) infiltration model, control of paddy runoff rate by flow depth and Manning's roughness coefficient, addition of baseflow layer, treatment of both spatial and point rainfall data, development of the pre- and post-processor, and development of automatic model evaluation function using five evaluation criteria (Pearson's coefficient of determination, Nash and Sutcliffe model efficiency, the deviation of runoff volume, relative error of the peak runoff rate, and absolute error of the time to peak runoff). The modified model adopts Shell Sort algorithm to enhance the computational performance. Input data formats are accepted as raster and MS Excel, and model outputs viz. soil moisture, discharge, flow depth and velocity are generated as BSQ, ASCII grid, binary grid and raster formats.

• Journal of Korean Society of Coastal and Ocean Engineers
• /
• v.35 no.6
• /
• pp.128-137
• /
• 2023

In this study, the bearing pressure on the rubble mound of a gravity-based harbor structure with an arbitrarily shaped bottom was targeted. Assuming that the bottom of the structure is a rigid body, the rubble mound was modeled as a linear spring uniformly distributed on the bottom that resists compression only, and the bearing pressure evaluation formula was derived. It was confirmed that there were no errors in the derivation process by showing that when the bottom was square, the derived equation was converted to the equation used in the design. In addition, the validity of the derived equation was proven by examining the behavior and convergence value of the bearing pressure when an arbitrarily shaped bottom converges into a square one. In order to examine the adequacy of the method used in the current design, the end bearing pressure for the pre-designed breakwater cross-section was calculated and compared with the values in the design document. As a result, it was shown that the method used for design was not appropriate as it gave unsafe results. In particular, the difference was larger when the eccentricity of the vertical load was large, such as in the case of extreme design conditions.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.16 no.5
• /
• pp.272-278
• /
• 2023

Attention, an important element of human cognitive function, is an important cognitive function that focuses only on necessary stimuli from various stimuli through sensory systems. Although various studies have shown that environmental conditions may affect the level of attention, the effect on attention by applying cooling directly to the skin has not been studied much. Differences in attention depending on when and whether cryotherapy was applied during learning and relaxation activities were examined among 36 subjects. The FAIR attention test, a visual attention evaluation tool, was used, and statistical analysis was conducted on the results of the sub-index of FAIR: Performance index, Quality index, and Continuity index. Among participants who performed rest activities, the application of cryotherapy appeared to have no effect on any subindex. Among the participants who performed learning activities, the group that applied pre-cryotherapy (P=469.0, C=435.4)) and the group that applied post-cryotherapy (P=457.4, C=425.4) showed higher Performance index and Continuity index than the group that did not apply cryotherapy (P=335.8, C=301.7). From these results, it can be concluded that cryotherapy maintains the level of alertness and awakens attention, albeit to a limited extent.