• The Journal of Korea Robotics Society
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• v.13 no.1
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• pp.38-44
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• 2018

In this paper, we propose Intelligent Driver Assistance System (I-DAS) for driver safety. The proposed system recognizes safety and danger status by analyzing blind spots that the driver cannot see because of a large angle of head movement from the front. Most studies use image pre-processing such as face detection for collecting information about the driver's head movement. This not only increases the computational complexity of the system, but also decreases the accuracy of the recognition because the image processing system dose not use the entire image of the driver's upper body while seated on the driver's seat and when the head moves at a large angle from the front. The proposed system uses a convolutional neural network to replace the face detection system and uses the entire image of the driver's upper body. Therefore, high accuracy can be maintained even when the driver performs head movement at a large angle from the frontal gaze position without image pre-processing. Experimental result shows that the proposed system can accurately recognize the dangerous conditions in the blind zone during operation and performs with 95% accuracy of recognition for five drivers.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.2
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• pp.211-217
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• 2009

This paper proposes a way of expanding the use area of localization technique by using a beacon. In other words, we have developed the auto-calibration algorithm that recognizes the location of this beacon by attaching the beacon on an arbitrary position and by using the information of existing beacon under this situation. By doing so, the moving robot can overcome the limitation that the localization of moving robot is only possible within the area that has installed the existing beacon since the beacon cannot be installed on the accurate location when passing through a danger zone or an unknown zone. Accordingly, the moving robot can slowly move to the unknown zone according to this auto-calibration algorithm and can recognize its own location at a later time in a safe zone. The localization technique is essentially needed in using a moving robot and it is necessary to guarantee certain degree of reliability. Generally, moving robots are designed in a way to work well under the situation that the surroundings is well arranged and the localization techniques of using camera, laser and beacon are well developed. However due to the characteristics of sensor, there may be the cases that the place is dark, interfering radio waves, and/or difficult to install a beacon. The effectiveness of the method proposed in this paper has been proved through an experiment in this paper.

• Korean Journal of Remote Sensing
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• v.38 no.6_3
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• pp.1847-1859
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• 2022

Wildfires in North Korea can have a directly or indirectly affect South Korea if they go south to the Demilitarized Zone. Therefore, this study calculates the regional optimized Forest Fire Danger Index (FFDI) based on Local Data Assessment and Prediction System (LDAPS) weather data to obtain forest fire risk in North Korea, and applied it to the cases in Goseong-gun and Cheorwon-gun, North Korea in April 2022. As a result, the suitability was confirmed as the FFDI at the time of ignition corresponded to the risk class Extreme and Severe sections, respectively. In addition, a qualitative comparison of the risk map and the soil moisture map before and after the wildfire, the correlation was grasped. A new forest fire risk index that combines drought factors such as soil moisture, Standardized Precipitation Index (SPI), and Normalized Difference Water Index (NDWI) will be needed in the future.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.57-60
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• 2004

Evaluating the risk of collision quantitatively plays a key role in developing the expert system of navigation and collision avoidance. This study analysed thoroughly how to determine the thresholds as described in the new evaluation of collision risk using sech function, and developed the appropriate equation as applicable.

• The Korean Journal of Air & Space Law and Policy
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• v.30 no.1
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• pp.245-271
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• 2015

The downing of the MH17 reminds the world that the international civil aviation is not as safety and security as people expected. Such tragedy is partly due to the risk and danger of the armed conflict zones, but is more attributed to the ignorance to the international law by the responsible parties concerned. International laws applicable to the armed conflict zones shall be strictly followed, and the reparation shall be provided to the victims, otherwise such disaster could not be avoided in the future.

• Journal of Food Hygiene and Safety
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• v.12 no.4
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• pp.361-366
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• 1997

Foodborne diseases are serious problems throughout the world, because new pathogens have emerged. Nowadays many students eat school lunch provided by school lunch program. They are threatened by pathogens transmitted by foods. Many school children became victims of foodborne diseases. Most foodborne outbreaks were caused by mishandling foods at food serivece establishments. Temperature control is the most critical point of keeping the foods safe. In order to prevent foodborne diseases in schools, the managers in charge of school lunch program and officials in charge of food safety of local health department try to make sure that foods are out of danger zone of temperature. Prevention of cross sontamination, and sanitization of raw foods and utensils are also emphasized by school lunch program managers and health officials.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.11a
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• pp.57-58
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• 2018

The number of deaths in the korean construction industry is more than three times the OECD average. Although safety management system should be improved to prevent the safety accidents, it is difficult to improve due to domestic safety conditions. Especially, in order to prevent accidents at construction sites, there is an increasing tendency to monitor the movement of workers and equipment in real time by introducing a location positioning system. Therefore, this study proposes a system that can monitor the position of workers and heavy equipments in real - time, detect danger and transmit alarms so that workers can pay attention to safety and keep safety. The system is expected to reduce safety accidents by transmitting alarms to workers so that they can pay attention.

• Proceedings of the Korean Society of Food Hygiene and Safety Conference
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• 1997.10a
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• pp.13-19
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• 1997

Foodborne diseases are serious problems throughout the world, because new pathogens have emerged. Nowadays many students eat school lunch provided by school lunch provided by school lunch program. They are threatened by pathogens transmitted by foods. many school children became victims of foodborne diseases. Most foodborne outbreaks were caused by mishandling foods at food service establishments. Food safety practices of school lunch programs in foreign countries were reviewed. Temperature control is the most critical part of keeping the foods safe. In order to prevent foodbrorne diseases in schools, the managers in charge of school lunch program and officials in charge of food safety of local health department try to make sure that foods are out of danger zone of temperature. Prevention of cross contamination, and sanitization of raw foods and utensils are also emphasized by school lunch program managers and health officials.

• Journal of the Korea Society of Computer and Information
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• v.24 no.1
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• pp.101-106
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• 2019

In this paper, we investigate the patient fall prevention system to prevent the patient from falling out of the bed unintentionally on the bed of the bed. Patients stay in bed for many hours of hospitalization. During the hospitalization period, patients have low controllability of the body, as compared with normal persons, and fall due to intentional movements, resulting in a fall of the patient, can be a fatal threat to the patient. Therefore, an efficient fall prevention system is required. In this paper, the distance map to the patient is generated by the distance measuring sensor on the bed of the patient, and the risk is determined by estimating the position of the patient based on the distance map. As a result, when the distance map of the dangerous area is 150 mm or more, it is determined to be dangerous, and good results are obtained.

• The Journal of the Korea Contents Association
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• v.8 no.4
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• pp.183-196
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• 2008

This research will mainly focus on security issues in a university campus and delve into the risk factors and its characteristics due to the extreme polarization growth, and ultimately conduct research on legislative issues regarding safety & security management. A university campus is a miniature of the society, concentrated with human resources, material resources and knowledge information resources. It is also a region in which various underlying risk factors threaten these resources. However, due to the insensibility of danger and carefree indolence, these risk factors have been ignoring, leaving university campus amidst a "dead zone." Currently, a systematic and synthetic measures not only for safety inside the laboratory but also for the new type of crimes such as cyber crimes and motiveless crime due to extreme polarization, stress, uneasiness about the future, increase of mental illnesses, and drug abuse are urgently required. Therefore, I would like to introduce a legislative program in a crisis management perspective that can prevent universities from danger and protect the resources which would ultimately create a new security system.