• Journal of the Korea Society for Simulation
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• v.25 no.3
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• pp.65-76
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• 2016

Self-adaptive software is software that adapts by itself to system requirements about the recognized problems without stopping the software cycle. In order to reduce the unnecessary adaptation in the system having the critical points, we propose proactive approach which can predict the future operation after a critical point. In this paper, we predict the future operation after a critical point using a hybrid model to deal with the characteristics of the observed data with the linear and non-linear pattern. The operation of the prediction method is determined on a timing decision indicator based on the prediction accuracy. The two main points of contributions of this paper are to reduce uncertainty about the future operation by predicting the situation after a critical point using hybrid model and to reduce unnecessary adaptation implementation by deciding a timing based on a timing decision indicator.

• Journal of the Korea Convergence Society
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• v.10 no.6
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• pp.393-399
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• 2019

This is a descriptive study on the perception and attitude toward DNR in adults. Structured questionnaires were used and 210 subjects were studied. In recognition of DNR, DNR was helpful for 'a comfortable dying(64.3%)'. The need for DNR in situation investigated 'For dignified dying (41.3%)' and 'to alleviate patient suffering(23.9%)'. Respondents who do not agree with DNR are shown 'Because legal issues can arise(61.7%)', 'Because human dignity is the life-sustaining priority(16.7%)'. In the attitude toward DNR, the most significant result was 'I want to know if I have an incurable disease (4.21).' There was no difference in attitudes toward DNR among adults. The DNR is not a method of Withdrawing in lifeprolonging treatment, It should be addressed in a comprehensive context in which human beings exercise autonomy over the process of dying and death.

• Journal of Korean Medical classics
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• v.32 no.1
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• pp.117-131
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• 2019

Objectives : There are two aspects of Korean medicine perspective on teeth, including the fact that the teeth reveal the thrift and decay of kidney as 'Goljiyeo', and that SujokYangmyeongGyeong flows into the teeth. Since the interrelationships of the two have not been sufficiently studied, this study attempts to investigate the relationship between kidney and Yangmyeong on teeth based on the literature. Methods : In "Huangdineijing", this study examined whether the connection between kidney and Yangmyeong respectively for the teeth appeared, and reviewed the sentences that can simultaneously examine the relationship between kidney and Yangmyeong. This study referred to previous medical books such as "Nanjing" as needed. Results & Conclusions : This study confirmed that there is recognition that kidney and Yangmyeong affected the teeth in a complex way in various provisions such as the provision of "Joksoeumgijeol" in "Lingshu-Jingmai". Kidney and Yangmyeong produce wantonness(血氣) in food(水穀) and transform it to perform the process of producing the vitality together. However, there is an aspect that they oppose each other as acquired spirit and inherent vitality. Therefore, inherent and acquired incongruities may occur depending on the situation, which can be a cause of triggering the pathogenesis of the tooth. : This study has found herbal combinations used frequently in Korean medicine formulas used for insomnia treatment, and a result of network analysis composed of four communities. Each community consisted of herbs in affiliation of Yookmijihwangtang(六味地黃湯) and Samultang(四物湯), Bohyulchunghwatang(補血淸火湯) and Ondamtang(溫膽湯), Jungjihwan(定志丸) and Sanjointang(酸棗仁湯).

• The Journal of the Korea Contents Association
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• v.19 no.1
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• pp.373-384
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• 2019

This study aims to look closely picture books regarding bullying and to analyze people directly involved in resolution to bullying problems and conflict-coping method in those picture books. 71 picture books on bullying were examined in this study. Results are as follows: (1) As person directly involved in resolution to bullying problems, 'victim by himself' settles a conflict situation over half of the books, followed by 'victim and other character' and 'other character alone'. (2) various types are described relatively evenly such as 'getting positive mind or building confidence', 'distancing bullies group or making new friends', 'gaining recognition by showing one's competence off', 'helping bullies or being nice to bullies' for conflict-coping method to bullying problems. In conclusion, the necessity of community effort rather than an individual's own effort to solve bullying problems and possibilities of teaching of language use in those books were discussed.

• Journal of IKEEE
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• v.23 no.2
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• pp.358-363
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• 2019

In this paper, we implemented a welfare system for the elderly living alone, disabled, or babies to provide fast incident response in case of emergency situations. The proposed system can quickly recognize emergency situations using heart rate sensors and real-time image sharing. The sensors attached on a wrist band monitor the heart rate along with relevant bio signals of clients and send alarms to guardians in the emergency situations. At the same time, the real-time image signals are captured using OpenCV and sent to the guardians in order to give the exact information for fast and appropriate response to handle the situation. In the proposed system, the camera works only in the emergency situations so as to provide enough privacy to the client's every day life.

• Journal of the Korea Society of Computer and Information
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• v.24 no.5
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• pp.149-156
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• 2019

The existing subtract image based intrusion detection system for CCTV digital images has a problem that it can not distinguish intruders from moving backgrounds that exist in the natural environment. In this paper, we tried to solve the problems of existing system by designing real - time intrusion detection system for CCTV digital image by combining subtract image based intrusion detection method and background learning artificial neural network technology. Our proposed system consists of three steps: subtract image based intrusion detection, background artificial neural network learning stage, and background artificial neural network evaluation stage. The final intrusion detection result is a combination of result of the subtract image based intrusion detection and the final intrusion detection result of the background artificial neural network. The step of subtract image based intrusion detection is a step of determining the occurrence of intrusion by obtaining a difference image between the background cumulative average image and the current frame image. In the background artificial neural network learning, the background is learned in a situation in which no intrusion occurs, and it is learned by dividing into a detection window unit set by the user. In the background artificial neural network evaluation, the learned background artificial neural network is used to produce background recognition or intrusion detection in the detection window unit. The proposed background learning intrusion detection system is able to detect intrusion more precisely than existing subtract image based intrusion detection system and adaptively execute machine learning on the background so that it can be operated as highly practical intrusion detection system.

• Maritime Security
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• v.1 no.1
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• pp.119-148
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• 2020

The purpose of this study is to examine the perceptions of neighboring countries on the gray zone and to explore Korea's maritime strategy. The concept of gray zones appears in various ways from country to country. In international relations, the gray zone is a comprehensive space between war and peace. The gray zone in the ocean is an unstable space in which competition between the US and China is represented and proxy wars are possible, and the gray zone needs strategic management. This study summarizes the concept of gray zones in the maritime security field, examines the gray zone strategies of neighboring countries, and suggests Korea's gray zone strategies. In particular, the recognition of the gray zone itself is the core of the problem, and it is necessary to strengthen information sharing to clarify the problem about the gray zone and accurately recognize the gray zone situation. The CMG(Complex Maritime Geostrategy) framework attempted in this study is expected to be helpful in understanding the nature of various gray zone issues around Korea and preparing for a geostrategy based on the analysis.

• Journal of the Korea Fashion and Costume Design Association
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• v.23 no.1
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• pp.129-142
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• 2021

This study aims to identify the perception of New-Hanbok one-piece dresses that female consumers have purchased and to analyze the design preference based on design types and brands. Analysis was conducted on New-Hanbok brand websites, and additional research was carried out through a survey of 402 women in their 20s and older. The survey consisted of 36 questions, which were divided into categories including pattern, color, material, and recognition of the one-piece dress. The research results are as follows. First, the preferred design form of the New-Hanbok one-piece dress was long length, medium fit, princess line, round git, rectangular git, regular width git, V neckline, regular width dongjeong, front closing with a wide overlap of the chest are a, narrow goreum, a skirt part with moderate crease spacing and number of pleats, A-line skirt silhouette, long and narrow sleeves, diagonal shoulder line, and a cuff at the end of each sleeve. Second, the preferred colors of the New-Hanbok one-piece dress were bright, neutral, or light and were predominately monochromatic Third, the preferred fabric conveyed a contemporary atmosphere through its print pattern. The most favored fabric material was cotton. Through this study, more systematic design development research should be carried out focusing on the current situation and identifying problems, thereby improving traditional culture.

• Journal of Auto-vehicle Safety Association
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• v.13 no.4
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• pp.14-19
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• 2021

This paper presents LiDAR static obstacle map based vehicle dynamic state estimation algorithm for urban autonomous driving. In an autonomous driving, state estimation of host vehicle is important for accurate prediction of ego motion and perceived object. Therefore, in a situation in which noise exists in the control input of the vehicle, state estimation using sensor such as LiDAR and vision is required. However, it is difficult to obtain a measurement for the vehicle state because the recognition sensor of autonomous vehicle perceives including a dynamic object. The proposed algorithm consists of two parts. First, a Bayesian rule-based static obstacle map is constructed using continuous LiDAR point cloud input. Second, vehicle odometry during the time interval is calculated by matching the static obstacle map using Normal Distribution Transformation (NDT) method. And the velocity and yaw rate of vehicle are estimated based on the Extended Kalman Filter (EKF) using vehicle odometry as measurement. The proposed algorithm is implemented in the Linux Robot Operating System (ROS) environment, and is verified with data obtained from actual driving on urban roads. The test results show a more robust and accurate dynamic state estimation result when there is a bias in the chassis IMU sensor.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.214-227
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• 2021

The purpose of this study is to find the driving difficulty of automated vehicles in terms of road infrastructure operation. It was judged out of this study that the level of automated driving would be enhanced if the road situation recognition ability was advanced through the presentation of infrastructure information during the difficult driving situations. The difficulty evaluation index was divided into three stages, and a survey of experts and an AHP were conducted. The result of the AHP showed that the driving difficulty of the interrupted flow was much higher than that of the uninterrupted flow. The AHP results also showed that and the driving difficulty of unsignalized intersections and roundabouts under an interrupted flow was evaluated as the highest. The top six driving situations with high difficulty were also evaluated to occur under unsignalized intersections and roundabouts.