• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.868-871
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• 2016

Recently, Unmanned vehicle and Wearable Technology using iot research is being carried out. The unmanned vehicle is the result of it technology. Robots, autonomous navigation vehicle and obstacle avoidance, data communications, power, and image processing, technology integration of a unmanned vehicle or an unmanned robot. The final goal of the unmanned vehicle manual not autonomous by destination safely and quickly reaching. This paper managed to cover One of the key skills of unmanned vehicle is to image processing. Currently battery technology of unmanned vehicle can drive for up to 1 hours. Therefore, we use the Raspberry Pi 3 to reduce power consumption to a minimum. Using the Raspberry Pi 3 and to develop an image recognition system. The goal is to propose a system that recognizes all the objects in the image received from the camera.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.658-669
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• 2020

Purpose: This study was conducted for Pohang citizens who experienced Pohang earthquake damage. The purpose of this study is to examine how these post-traumatic stress level affect post-traumatic growth and to examine the mediating effects of stress coping on the causal relationship between post-traumatic stress level and post-traumatic growth. Method: The survey was conducted for the citizens who experienced Pohang earthquake, and the survey data were statistically analyzed using the SPSS 25.0 program. Result: Post traumatic stress level has been shown to affect post traumatic growth. In addition, as a result of examining the mediating effect of stress coping method on the relationship among these variables, the problem solving center and the social support method had a mediating effect, but the evasion method did not mediate. Conclusion: The post-traumatic stress level caused by disasters such as earthquakes was found to be able to overcome the obstacle and grow after trauma, as the coping method is problem solving and social support.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.849-856
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• 2020

Recently, as the number of high-height vehicles such as double-decker buses has increased, collision accidents have occurred in bridges and tunnels due to the deviation from the designated routes and driver's carelessness. In the case of the existing front collision warning system, it is limited to vehicles and pedestrians, so it is difficult to use it as a pass height warning system for the high height vehicles. In this paper, we propose a system that generates a warning by determining the correlation and time series characteristics of data for each segment using multiple lidar sensors and then determining the possibility of collision in the upper part of the vehicle. Also, the proposed system confirmed the proper operation through a real-time driving test and a system performance evaluation by the Korea Automobile Testing & Research Institute.

• Journal of Platform Technology
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• v.9 no.4
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• pp.71-78
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• 2021

Self-driving vehicles are increasing as new alternatives to solving problems such as human safety, environment and aging. And such technology development has a great ripple effect on other industries. However, various problems are occurring. The number of casualties caused by self-driving is increasing. Although the collision of fixed obstacles is somewhat decreasing, on the contrary, the technology by active obstacles is still insignificant. Therefore, in this study, in order to solve the core problem of self-driving vehicles, we propose a method of extracting active obstacles on the road. First, a center scene is extracted from a continuous image. In addition, it was proposed to extract activity obstacles using activity size and activity repeatability information from objects included in the center scene. The center scene is calculated using region segmentation and merging. Based on these results, the size of the frequency for each pixel in the region was calculated and the size of the activity of the obstacle was calculated using information that frequently appears in activity. Compared to the results extracted directly by humans, the extraction accuracy was somewhat lower, but satisfactory results were obtained. Therefore, it is believed that the proposed method will contribute to solving the problems of self-driving and reducing human accidents.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.6
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• pp.1137-1148
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• 2021

The main obstacle for implementing CSIDH-based cryptography is that it requires generating a kernel of a small prime order to compute the group action using Velu's formula. As this is a quite painstaking process for small torsion points, a new approach called radical isogeny is recently proposed to compute chains of isogenies from a coefficient of an elliptic curve. This paper presents an optimized implementation of radical isogenies and analyzes its ideal use in CSIDH-based cryptography. We tailor the formula for transforming Montgomery curves and Tate normal form and further optimized the radical 2- and 3- isogeny formula and a projective version of radical 5- and 7- isogeny. For CSIDH-512, using radical isogeny of degree up to 7 is 15.3% faster than standard constant-time CSIDH. For CSIDH-4096, using only radical 2-isogeny is the optimal choice.

• Journal of Home Health Care Nursing
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• v.30 no.2
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• pp.202-215
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• 2023

Purpose: This study attempted to determine the factors related to behaviors of reducing exposure to endocrine disrupting chemicals (BRE to EDCs) in pregnancy, based on the PRECEDE model. Methods: A cross-sectional survey was conducted with participants (N=239) who met the medical records and eligibility criteria from the Women's Hospital and Public Health Center. Data were collected using a specially-designed questionnaire based on the PRECEDE model and included BRE to EDCs predisposing factors, reinforcing factors, and enabling factors. The data were analyzed using the chi-square test, independent t-test, one way ANOVA, Pearson's correlation coefficients and a hierarchical multiple regression analysis. Results: In Model I it was found that participation in prenatal education influenced the BRE to EDCs significantly; and a regression showed that the determinant variables accounted for 3.4%. In Model II, the predisposing factors of perceived barriers of BRE to EDCs and environmental self-efficacy were added. It was shown that they significantly influenced BRE to EDCs in the order named, and a regression revealed that increases in the determinant variables accounted for 22.5%. In Model III, to which enabling factors were added, the information acquisition experience of BRE to EDCs interacted significantly with BRE to EDCs and a regression showed an increase in the determinant variables accounting for 25.3%. Conclusion: The results of this study, the content of endocrine disruptors must be included in the prenatal care education program for pregnant women, and it should be composed of contents that can reduce the perceived obstacle to BRE to EDCs, enhance the environmental self-efficacy, and provide the information in regard to reducing exposure to EDCs.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.4
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• pp.677-686
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• 2023

In this paper, we study the design and implementation of a smart home outing care system that recognizes the user's purpose of going out and delivers useful information that can help when going out. RSS service data of the Korea Meteorological Administration can be transmitted in real time using ESP8266, and a system that can provide weather information to users after analyzing the data using Arduino MEGA is implemented. Using App Inventor, you can pack the necessary items without forgetting, and you can change the settings according to the desired weather and purpose. The position of the microphone was placed outside to increase awareness by 12%, and the sensitivity of the pressure sensor was set to a maximum of 210 kΩ. If there is an obstacle between the doors, the doors open automatically. An ultrasonic sensor was placed on the ceiling of the drawer to recognize an object within the range of 0.5cm to 10cm to check the existence of an object, and a camera was installed to research a security reinforcement system.

• Journal of the Korea Society of Computer and Information
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• v.14 no.2
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• pp.211-219
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• 2009

The logistic environment of Korean companies faces very challenging circumstances due to lack of resources and tough price competitions. It is obvious that such a load of logistic cost becomes an obstacle to national or business competition advantages in the era of unlimited market competition. Prior studies concerning these issues sought to express a large-scale distribution network in a unified numerical formula using defined symbols and could take systematic approaches to distribution network. But inventory policy and operation in material distribution system have been limited to conventional methodology. so they are exposed to many questions in practical applications. This study analyzed distribution system cost and developed a relevant model for operation policy of distribution system for the efficeient treating of stockout. allowing practical applications, so that it will contribute to saving operational cost related to material distribution system.

• Quality Improvement in Health Care
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• v.30 no.1
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• pp.15-32
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• 2024

Purpose: The number of severely ill patients requiring post-acute care has been increasing. Careful discharge planning minimizes unplanned emergency room visits and readmissions. This study aimed to survey the knowledge, experience, confidence, and obstacles faced by medical residents and fellows regarding the discharge process of severely ill patients. Methods: A survey consisting of 27 questions was sent electronically to residents and fellows who had experience in discharging severely ill patients from a tertiary hospital in Korea. The survey was conducted over a two-week period from September 29, 2022. Results: A total of 98 residents and fellows responded to the survey. Of these, 94% experienced difficulties related to the discharge process. The main obstacle was changes in the patient's condition during discharge planning (92.3%). Although 95% of the respondents acknowledged the need for providing discharge information, only 53.1% of the residents and fellows practiced this. Only 42.9% of the respondents and 20.4% of residents and fellows explained local community healthcare and welfare resources to patients because of a lack of relevant knowledge (69.7%) and feeling no responsibility to explain (40.4%). Conclusion: This study revealed that residents and fellows experienced difficulties in devising discharge plans and providing post-acute care related information, despite recognizing the importance of these. These gaps result from the lack of a discharge planning curriculum regarding critically ill patients and appropriate training in the discharge process. This suggests that an integrated discharge planning curriculum should be developed and adopted in residents' training programs for the differentiated treatment of critically ill patients.

• Journal of the Society of Naval Architects of Korea
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• v.61 no.3
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• pp.170-184
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• 2024

With the advancement of autonomous navigation technology in maritime domain, there is an active research on swarming Unmanned Surface Vehicles (USVs) that can fulfill missions with low cost and high efficiency. In this study, we propose a formation control algorithm that maintains a certain shape when multiple unmanned surface vehicles operate in a swarm. In the case of swarming, individual USVs need to be able to accurately follow the target state and avoid collisions with obstacles or other vessels in the swarm. In order to generate guidance commands for swarm formation control, the potential field method has been a major focus of swarm control research, but the method using the potential field only uses the position information of obstacles or other ships, so it cannot effectively respond to moving targets and obstacles. In situations such as the formation change of a swarm of ships, the formation control is performed in a dense environment, so the position and velocity information of the target and nearby obstacles must be considered to effectively change the formation. In order to overcome these limitations, this paper applies a method that considers relative velocity to the potential field-based guidance law to improve target following and collision avoidance performance. Considering the relative velocity of the moving target, the potential field for nearby obstacles is newly defined by utilizing the concept of Velocity Obstacle (VO), and the effectiveness and efficiency of the proposed method is verified through swarm control simulation, and swarm control experiments using a small scaled unmanned surface vehicle platform.