• Journal of Convergence for Information Technology
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• v.7 no.4
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• pp.165-170
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• 2017

This study was conducted to survey 178 current students at Seoul National University and to conduct a survey to prepare data for servant leadership based on the spirit of SMEs. The results of the study are as follows. First, the relationship between servant leadership and interpersonal relationship of university students in SMEs human resources appears to be a static relationship. This means that the higher the servant leadership of university students preparing for SME human resources, the higher the interpersonal relationship. Second, the consensus formation of university students had a positive effect on satisfaction, and the vision presentation had a statistically significant effect on understanding. In addition, stress relief showed a statistically significant effect on openness, and morality had a statistically significant effect on communication and openness. In addition, insight has a statistically significant effect on satisfaction and understanding.

• Korean Institute of Interior Design Journal
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• no.8
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• pp.44-57
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• 1996

Now interior designers have to meet this challenge by rising to the occasion and taking advantage of opportunities while strengthening their skills which have not kept pace with the increasing emphasis on design. furthermore, they are hampered by the lack of a general working design methodology. Interior designers in Korea have been slow to recognize the need for developing a specification methodology manual which could be adapted to meet varying requirements and modified to reflect designers experiences. The design process in Korean interior design often involves utilizing drawing document methods based on architectural prototypes rather than upon drawing methods developed by design firms as a result of work experience s and unique needs. However, these unique nees are nearly always limited by traditional working drawing methods. This has led to confusion and inaccuracies due to the lack of a single starndardized and universally acceptable working drawing methodology which is capable of reflecting the needs of all parties involved , partiality those of interior designers. This thesis is an attmepted to establish the necessity for developing a better working drawing methodogoy or technical mans of satisfying the information sorting and processing need s of interior design professionals, a five step suggestion for developing such a methodology follows. First, arrange pertinent design research information by means of a process which can be employed throughout the design process, from inception through to working drawing stage. The end result should be an interior architectural design process culminating in a pattern skillfully blending architecture, vision and product with environment . The design process should be manifested into a series of definable steps and yet sufficiently flexible and variable in order to provide the most apropos design solution. Secondly , motify the design methodology systematically according to site conditions and prevailing construction technology and manifest the design process in a booklet form so that it reflects a desired pattern. Thirdly, this methodology should incorporate a stand-ardized and functional process capable of being utilized to impact clear design concepts and objectives with preci-sion and efficiency in a manual form.

• Journal of Sensor Science and Technology
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• v.10 no.1
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• pp.52-61
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• 2001

We propose a new saccadic eye movement system with visual selective attention. Saliency map models generate the scan pathways in a natural scene, of which the output makes an attended location. Saccadic eye movement model is used for producing the target trajectories to move the attended locations very rapidly. To categorize human saccadic eye movement, saccadic eye movement model was divided into three parts, each of which was then individually modeled using different neural networks to reflect a principal functionality of brain structures related with the saccadic eye movement in our brain. Based on the proposed saliency map models and the saccadic eye movement model, an active vision system using a CCD type camera and BLDC motor was developed and demonstrated with experimental results.

• Journal of the Korean Society of Safety
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• v.34 no.6
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• pp.50-57
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• 2019

In this study, various types of deep learning models that have been proposed recently are classified according to data input / output types and analyzed to find the deep learning model suitable for constructing a crack detection model. First the deep learning models are classified into image classification model, object segmentation model, object detection model, and instance segmentation model. ResNet-101, DeepLab V2, Faster R-CNN, and Mask R-CNN were selected as representative deep learning model of each type. For the comparison, ResNet-101 was implemented for all the types of deep learning model as a backbone network which serves as a main feature extractor. The four types of deep learning models were trained with 500 crack images taken from real concrete structures and collected from the Internet. The four types of deep learning models showed high accuracy above 94% during the training. Comparative evaluation was conducted using 40 images taken from real concrete structures. The performance of each type of deep learning model was measured using precision and recall. In the experimental result, Mask R-CNN, an instance segmentation deep learning model showed the highest precision and recall on crack detection. Qualitative analysis also shows that Mask R-CNN could detect crack shapes most similarly to the real crack shapes.

• The Korean Journal of Health Service Management
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• v.7 no.1
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• pp.21-34
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• 2013

Hospitals in Korea are enforcing a quality control over 119Emergency Medical Services to increase the survival rate of Out of Hospital Cardiac arrest patients. This study is to analyze the factors that effect the survival rate of Out of hospital Cardiac arrest patients by comparing the results of before and after the quality control enforcement. Cardiac arrest patients can be assorted into pre-decision group and decision group. The study analyzed the survival factors which was based on the adequate use of 119 BLS and ACLS usage rates, response time of 119EMS, qualification of ambulance worker, number of EMS team members, and adequate use of AED according to ECG diagnosis. The analyzation was done over total 1,233 of Cardiac arrest patients from January 1, 2010 to December 31, 2011 After the enforcement of the quality control, the usage of Vital sign check and BLS showed a big difference. Especially, as the usage of ECG showed a significant difference, Shockable rhythm, which is the most important to Cardiac arrest patients, also showed a significant difference. After the enforcement of quality control, the performance of ACLS showed a significant difference in IV. The study showed 119 ambulance workers provided better service in Vital sign and BLS and ACLS after the enforcement of quality control. It is considered a 119 ambulance service effects the survival rate of Cardiac arrest patients. Therefore, it can increase the survival rate and it is necessary to continue a quality control.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.1
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• pp.65-70
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• 2013

Recently, the field of computer vision has been actively researched through digital image which can be easily generated as the development and expansion of digital camera technology. Especially, research that extracts and utilizes the feature in image has been actively carried out. The image stitching is a method that creates the high resolution image using features extract and match. Image stitching can be widely used in military and medical purposes as well as in variety fields of real life. In this paper, we have proposed efficient image stitching method using fast feature descriptor extraction and matching based on SURF algorithm. It can be accurately, and quickly found matching point by reduction of dimension of feature descriptor. The feature descriptor is generated by classifying of unnecessary minutiae in extracted features. To reduce the computational time and efficient match feature, we have reduced dimension of the descriptor and expanded orientation window. In our results, the processing time of feature matching and image stitching are faster than previous algorithms, and also that method can make natural-looking stitched image.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.108-113
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• 2019

In relation to $4^{th}$ industrial revolution, it is required to build a smart agricultural system using the pest control drones, which are emerging fast these days as a role to support pest control work of farmers and improve aging issues in farming. However, the absence of accurate criteria on management of the pest control drones and the effect of pesticide application is leading to damage to crops by pesticides. The extreme shortage of analysis of management of the pest control drones and relevant studies, and big differences in pest control efficiency depending on the operation skills of controllers are the biggest reasons for the damage. Therefore, this paper suggests a basic study on agricultural pest control drone operation system buildup to make out working schedules and calculate the dosage of pesticide by understanding the features of the pest control drones properly based on the control using smart operating mode.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.455-464
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• 2018

Recognizing the shortage of information about business models to generate profit despite the designers' recent interest in 3D printers as a new creative tool, this study set out to make sunglasses for young children, which lacked diversity in sizes according to age due to the small market scope under the old mass production system, by taking advantage of 3D printers' strength in the small batch production of customized products and propose a practical example to be expandable as a small-size business model. For these purposes, the investigator summarized the basic information about the 3D printing technology and the basic structure of sunglasses and made a size table to manufacture sunglasses for young children by analyzing the size table for vision correction. After this series of work, the study presented final product with the production costs and demonstrated that sunglasses for young children made with a 3D printer could be a practical case expandable as a competitive small-size business model in the market.

• Journal of the Korea Society of Computer and Information
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• v.24 no.9
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• pp.109-117
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• 2019

This study was attempted to provide fundamental data in a disaster response education program by comparing the differences between students of the paramedic and nursing in ego-resilience, disaster-experience and core competencies of disaster response. The data is collected from March 2 to April 2, 2019, on a total of 358 students (196 paramedic students and 162 nursing students) based in Jeolla Province. The structured questionnaire were used as research tools and the collected data were analyzed by using the SPSS program as frequency, percentage, t-test, ANOVA and Pearson's correlation coefficient. The average score of total ego-resilience among the subjects was 86.97 out of 125 points. The number of paramedic students who experienced or witnessed the disaster situation in person was 11.2%, and the number of nursing students was 11.7%. The core competence of disaster response was 3.21% in paramedic students and 3.16% in nursing students. The ego-resilience of the paramedic and nursing students according to their general characteristics is statistically significant differences (t=2.797, p<.005) and the paramedic students has an average score of 3.52 points, which is higher than the nursing students (3.42 points). General characteristics and experience in disasters are statistically significant differences (t=2.797, p<.005), paramedic students had more disaster experiences (3.11 points) than nursing students (2.67 points). It indicated the static correlation relationship between ego-resilience, disaster experience and core competences of disaster response (p<.000). Through this study, the paramedic students were found to be more ego-resilience, more disaster experience and more critical capacity for disaster treatment than nursing students.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1427-1434
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• 2021

In this paper, we propose a psychological state estimation process that computes children's attention and tension in response to training stimuli. Joint attention was adopted as the training stimulus required for behavioral intervention, and the Discrete trial training (DTT) technique was applied as the training protocol. Three types of training stimulation contents are composed to check the user's attention and tension level and provided mounted on a character-shaped tabletop robot. Then, the gaze response to the user's training stimulus is estimated with the vision-based head pose recognition and geometrical calculation model, and the nervous system response is analyzed using the PPG and GSR bio-signals using heart rate variability(HRV) and histogram techniques. Through experiments using robots, it was confirmed that the psychological response of users to training contents on joint attention could be quantified.