• The Journal of Korean Academy of Sensory Integration
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• v.17 no.1
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• pp.54-64
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• 2019

Objective : The purpose of this study is to study the effects of multisensory environment interventions, to provide information about clinical applications, and to aid South Korean research on the multisensory environment. Methods : PubMed, Cochrane, and Google Scholar were used to search for papers published from 2008 to 2018. The main search terms were "multisensory environment" and "snoezelen", a total of 10 foreign research articles were selected. And they were summarized according to Patient, Intervention, Comparison, Outcome (PICO). Results : Among the 10 papers, 6 included participants with dementia. The other studies examined patients with intellectual disabilities, patients with schizophrenia, and pregnant women. The study periods ranged from 3 weeks to 10 months. Most of the interventions included 2 or 3 sessions per week. The duration of each intervention session was 30 to 60 minutes. The dependent variables were psychological factors (such as anxiety and depression), social factors (such as quality of life), and cognitive and physical domains. The multisensory environment used for the interventions in the studies consisted of visual, auditory, and tactile senses, as well as additional olfactory and taste sensations, and vestibular sensations. Conclusion : In the future, the research should be applied to various target groups, especially children, who are interested in multisensory environmental intervention in South Korea.

• Journal of Wetlands Research
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• v.21 no.1
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• pp.27-33
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• 2019

The future water management needs decentralization of facilities, diversity of technology and integration of management to overcome the waste of financial resources and increase in scale of facilities that occurred from centralized water management. In addition, citizen's environmental awareness and participation is important because all infrastructure installed in the watershed where citizens live should have the function of water management. Therefore, the research was performed by investigating the citizen's recognition about urban environment와 LID application to analyze citizen's perceptions and analyze the feasibility and possibility of LID application. The LID awareness of citizens was about 59%, but only about 46% of citizens agreed on the extension of application. However, after contacting LID photographs and information, 90% of respondents agreed on the application of LID, and 94% of respondents were able to distinguish between grey infrastructure and LID infrastructure. Citizens appeared to have a tendency to recognize green spaces as multi-functional LID infrastructure or green infrastructure. If citizens recognize multi-functional LIDs only as landscapjng area, it will be very difficult to extend the LID on the city areas. Therefore, for the extended application of the LID facilities, it is necessary to use public relations strategy to utilize the results and visual data on the actual effect verification. In addition, as every social infrastructure is formed in watershed where citizens live, it is necessary to plan and manage the infrastructure through governance with citizen participation.

• 재활복지
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• v.21 no.3
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• pp.129-146
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• 2017

In an event of an emergency, such as fire in a building, visually impaired and blind people are prone to exposed to a level of danger that is greater than that of normal people, for they cannot be aware of it quickly. Current fire detection methods such as smoke detector is very slow and unreliable because it usually uses chemical sensor based technology to detect fire particles. But by using vision sensor instead, fire can be proven to be detected much faster as we show in our experiments. Previous studies have applied various image processing and machine learning techniques to detect fire, but they usually don't work very well because these techniques require hand-crafted features that do not generalize well to various scenarios. But with the help of recent advancement in the field of deep learning, this research can be conducted to help solve this problem by using deep learning-based object detector that can detect fire using images from security camera. Deep learning based approach can learn features automatically so they can usually generalize well to various scenes. In order to ensure maximum capacity, we applied the latest technologies in the field of computer vision such as YOLO detector in order to solve this task. Considering the trade-off between recall vs. complexity, we introduced two convolutional neural networks with slightly different model's complexity to detect fire at different recall rate. Both models can detect fire at 99% average precision, but one model has 76% recall at 30 FPS while another has 61% recall at 50 FPS. We also compare our model memory consumption with each other and show our models robustness by testing on various real-world scenarios.

• Korean Journal of Remote Sensing
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• v.34 no.6_1
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• pp.905-923
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• 2018

In order to generate high-resolution products using UAV images, it is necessary to analyze the sharpness of the themselves measured through image analysis. When images that have unclear sharpness of UAV are used in the production, they can have a great influence on operations such as acquisition and mapping of accurate three-dimensional information using UAV. GRD (Ground Resolved Distance) has been used as an indicator of image clarity. GRD is defined as the minimum distance between two identifiable objects in an image and is used as a concept against the GSD (Ground Sampling Distance), which is a spatial sample interval. In this study, GRD is extracted by analyzing the edge target without visual analysis. In particular, GRD to GSD ratio (GRD/GSD), or GRD expressed in pixels, is used as an index for evaluation the relative image sharpness. In this paper, GRD is calculated by analyzing edge targets at various altitudes in various shooting environments using a rotary wing. Using GRD/GSD, it was possible to identify images whose sharpness was significantly lowered, and the appropriateness of the image as an image clarity index was confirmed.

• Korean Journal of Psychosomatic Medicine
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• v.26 no.2
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• pp.119-126
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• 2018

Objectives : The aim of this study is to investigate correlation between degree of white matter hyperintensities (WMH) and neurocognitive function along with behavioral and psychological symptoms of dementia (BPSD) in Korean patients with Alzheimer's disease (AD) and mild cognitive impairment (MCI). Methods : Participants were 115 elderly subjects diagnosed with Alzheimer's disease or mild cognitive impairment in this retrospective study. WMH in brain MRI were rated with standardized visual rating scales (Fazekas scales) and the subjects were divided into two groups according to Fazekas scale. Cognitive function was evaluated with Korean version of the consortium to establish a registry for Alzheimer's Disease (CERAD-K), and BPSD was evaluated with Korean neuropsychiatric inventory (K-NPI). Independent t-test was performed to analyze the relationship between the degree of WMH and neurocognitive functions & BPSD. Results : Especially, the group with high severity of WMH showed significantly lower language fluency (p<0.05). In addition, the group with high severity of WMH showed significantly higher score in K-NPI. Conclusions : There was a significant association between WMH and neurocognitive test related with executive function. Moreover, WMH seems to affect BPSD severity. Evaluation of WMH would provide useful information in clinical settings.

• The Journal of Korean Academy of Sensory Integration
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• v.16 no.3
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• pp.1-10
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• 2018

Objective : The purpose of this study was to investigate smartphone addition and sensory processing character depend on gender for occupational therapy (OT) students, and to identify the correlation between smartphone addiction and sensory processing feature. Methods : Participants of this study were 168 (70 male/90 female) students majoring occupational therapy. Measurements in this study were a questionnaire about general information of subject, smartphone addiction scale, and adult/adolescent sensory profile. Data collection period was from November 2017 to March 2018. Methods for the data analysis included descriptive statistics, independent t-test and Pearson correlation of SPSS 22.0. Results : In term of the purpose of using smartphone, majority response was communication and gaming ranked in next. There were difference between male and female in the total smartphone addition, cyberspace-oriented relationship, withdrawal and tolerance. The result showed that all sensory processing are related with total smartphone addition (r = .236 ~ .603) for man. And for women, total smartphone addition is little related with the taste/smell processing (r= .290), visual processing (r= .324), touch processing (r= .214), low registration (r= .214), sensory sensitivity (r= .243), and sensory avoiding (r= .217). Conclusion : This study found that there is difference between male and female in terms of relation between smartphone addition and sensory processing feature according for occupational therapy students.

• Science of Emotion and Sensibility
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• v.21 no.4
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• pp.43-54
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• 2018

The aim of this study is to determine the effect of motion sickness on pupil rhythm. Sixteen volunteers of both genders (8 male, 8 female, mean age $25.67{\pm}2.43$ years) experienced VR contents in both 2D and HMD versions for 15 minutes, and their pupillary rhythms were compared. The irregular pattern of the pupillary rhythms, as demonstrated by increasing mean pupil diameter (mPD) and standard deviation of the pupil diameter (sPD), revealed motion sickness after experiencing HMD condition. The pupillary response is strongly related to the cognitive load, and the motion sickness can be interpreted as a change in the cognitive load caused by the increasing volume of visual information that must be processed and the conflict or inconsistency between different sensory modalities. The method proposed in this study could be a non-contact measurement method for the monitoring of motion sickness using a web-camera rather than previous sensor-based methods.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.24 no.1
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• pp.18-29
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• 2019

ROV surveys were conducted using 500 meter mini class ROV with HD video camera, 2 LED lights, a simple manipulator and 8 thrusters near the Dokdo and Simheungtaek seamount. Total six dives have been conducted using the ROV "V8 SII" from Sweden and ROV's support ship, "KOSAL V" at 4 stations between 45 and 370 meters with diving time ranged from 30 to 120 minutes. Dense communities of sea anemone (Actinostolidae sp.) and ophiuroids (Ophiuridae sp.) on the surface of rocky bottom and snow crab on the soft bottom with muddy-sand were observed at northwestern part of Simheungtaek seamount. We obtained the following results 1) habitats information for snow crab, one of the major fisheries resources, and deep-sea fauna, 2) observation on the specific topography and sediment conditions, 3) observation of the seabed surface covered with the discarded fishing gears. This study represents the first report of in situ visual observation of deep-sea organisms and their habitats near the Dokdo slopes and flat top of the Simheungtaek seamount in the East Sea. These results indicated that immediate oceanographic survey using the mini class ROV is available in the East Sea.

• Asian-Australasian Journal of Animal Sciences
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• v.32 no.7
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• pp.1015-1026
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• 2019

Objective: The objective of this study was to evaluate three different degrees of white striping (WS) addressing their automatic assessment and customer acceptance. The WS classification was performed based on a computer vision system (CVS), exploring different machine learning (ML) algorithms and the most important image features. Moreover, it was verified by consumer acceptance and purchase intent. Methods: The samples for image analysis were classified by trained specialists, according to severity degrees regarding visual and firmness aspects. Samples were obtained with a digital camera, and 25 features were extracted from these images. ML algorithms were applied aiming to induce a model capable of classifying the samples into three severity degrees. In addition, two sensory analyses were performed: 75 samples properly grilled were used for the first sensory test, and 9 photos for the second. All tests were performed using a 10-cm hybrid hedonic scale (acceptance test) and a 5-point scale (purchase intention). Results: The information gain metric ranked 13 attributes. However, just one type of image feature was not enough to describe the phenomenon. The classification models support vector machine, fuzzy-W, and random forest showed the best results with similar general accuracy (86.4%). The worst performance was obtained by multilayer perceptron (70.9%) with the high error rate in normal (NORM) sample predictions. The sensory analysis of acceptance verified that WS myopathy negatively affects the texture of the broiler breast fillets when grilled and the appearance attribute of the raw samples, which influenced the purchase intention scores of raw samples. Conclusion: The proposed system has proved to be adequate (fast and accurate) for the classification of WS samples. The sensory analysis of acceptance showed that WS myopathy negatively affects the tenderness of the broiler breast fillets when grilled, while the appearance attribute of the raw samples eventually influenced purchase intentions.

• Journal of Korean Physical Therapy Science
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• v.25 no.3
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• pp.9-16
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• 2018

Background: In order to find out the effect of therapy methods through Flexion-distraction technique and drop technique on pain, sacral angle of patients with lumbar herniated intervertebral disc targeting patients with lumbar herniated intervertebral disc due to L5-S1. Method: This study was to present the directivity of the therapy method for lumbar herniated intervertebral disc by comparing and analyzing the spinal decompression therapy and provide an effective treatment method to patients with lumbar herniated intervertebral disc by identifying the therapeutic effect of Flexion-distraction technique and drop technique. The research period is March 1, 2018 to June 30, 2018 and subjects are the patients diagnosed as lumbar herniated intervertebral disc due to L5-S1 by their doctor through clinical findings and medical equipment such as X-ray, CT, MRI etc. Among patients who visited and hospitalized in S Orthopaedics located in Daegu and 30 female patients with sacral angle of more than $30^{\circ}$ were randomly classified into 15 people and we carried out treatment three times a week for 8 weeks for 15 people in the experimental group applying Flexion-distraction technique and drop technique and 15 people in the control group applying spinal decompression therapy to compare and analyze the changes in pain, sacral angle of patients with lumbar herniated intervertebral disc. Result: According to the results of this study, changes in the Visual Analogue Scale showed statistically significant differences in both the experimental group and control group(p<.05), while there was statistically significant difference in the comparison between groups before and after measurement of experimental group (p<.05). In the comparison within two groups of sacral angle, both groups showed statistically significant difference(p<.05) but there was no statistically significant difference in the comparison of scores between groups before and after measurement of each group(p>.05). Discussion: All those results the above proved that we need to confirm various benefits of the therapy with the flexion-distraction technique and drop technique, and the findings of the concerned study will possibly become useful information when doctors actually work on a therapy to treat patients with the lumbar herniated intervertebral disc.