• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.66-68
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• 2022

Forklift trucks are frequently used in logistics warehouses and factories to transport large amounts of cargo. Among the recent accidents at industrial sites, the number of accidents caused by forklifts was the highest. Most accidents are caused by being hit or caught by forklifts. Various safety devices are being applied to prevent forklift accidents. This paper analyzes the efficiency of introducing a smart control method to prevent industrial accidents that may occur in the operation of forklifts. The smart control method generates an amount of money for initial introduction, but if subsidies are secured through government-supported projects, the burden on the workplace will be reduced. When a smart control method is introduced, it is possible to prevent collisions between workers and forklifts and accidents of trapped forklifts.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.179-184
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• 2012

A car accident on a highway occurs a chain-reaction collision because of a vehicle's fast velocity. In order to prevent it, the accident vehicle should broadcast a safe message to its neighbors. If there are many neighbor nodes, a frame collision probability is high. To solve this, it was proposed for a system as a previous study to send a safe message without frame-collision using separating channels. However, the separation of multiple channels make feasibility low because of increasing hardware's development cost and complexity. In this paper, we proposes a TDMA-based MAC protocol using a single channel. As a result, we show the frame reception success rate of our protocol was almost the same as the previous protocol.

• Proceedings of KOSOMES biannual meeting
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• 2003.05a
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• pp.69-75
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• 2003

It is very important to protect life, property at sea and marine environments from any pollution. AIS, which has been carried out July 1st, 2002 by SOLAS ch. 5, is an communication system to enhance navigational safety by transmitting and receiving vessel information automatically. In this paper. we investigated the positive factors expected by introducing AIS. For this, ship's collision accidents were analyzed. Finally. we suggest methods to solve several problems related to operation in AIS.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.6
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• pp.107-115
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• 1998

A path planning using potential field method is very useful for the real-time navigation of mobile robots. However, the method needs high modeling cost to calculate the potential field because of complex preprocessing, and mobile robots may get stuck into local minima. In this paper, An efficient path planning algorithm for multiple mobile robots, based on the potential field method, was proposed. In the algorithm. the concepts of subgoals and obstacle priority were introduced. The subgoals can be used to escape local minima, or to design and change the paths of mobile robots in the work space. In obstacle priority, all the objects (obstacles and mobile robots) in the work space have their own priorities, and the object having lower priority should avoid the objects having higher priority than it has. In this paper, first, potential based path planning method was introduced, next an efficient collision-avoidance algorithm for multiple mobile robots, moving in the obstacle environment, was proposed by using subgoals and obstacle priority. Finally, the developed algorithm was demonstrated graphically to show the usefulness of the algorithm.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.27 no.2
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• pp.16-25
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• 2019

While various efforts are being made to ensure aviation safety, air accident rate induced by pilot human factors is still high worldwide. In particular, among pilot human factors, it would be the most important issue for pilots to anticipate and recognize flight environmental factors beyond their control and to make a positive decision making(ADM). In the Republic of Korea Air Force(ROKAF), there were many dizzying experiences induced by bird strike incidents and developed into dangerous moments such as damage to the aircraft and pilots' increased mental stress. It is a matter of serious concern in terms of safety management and human factors to dismiss bird strike incidents as inevitable misfortune due to environmental factors. In 2018, the ROKAF Aviation Safety Agency(ASA) conducted an experimental study to enhance pilots' ADM competence that can anticipate and avoid a bird strike. As the way of the study, 'Bird Strike Preventing Information' had been written and distributed every week by the ASA to flight units in the ROKAF during the period of the study. Through enhanced pilots' perceptual ADM competence, there was a noticeable number of reduction in bird strike incident compared to previous years of the experimental study.

• Journal of Navigation and Port Research
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• v.43 no.1
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• pp.57-63
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• 2019

It is time to study safety improvement on container terminals to maintain a high-quality service to customers' productivity and safety. The data analyzed was of the past 3 years accidents data from a container terminal in the Busan port. I especially tried to found out the equipment that had the highest number of accidents and what the main causes were. This study suggests the top hazards identified in the container terminal using risk assessment, Moreover, it seeks control measurements to prevent hazards by bowtie methodology.

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.6
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• pp.586-595
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• 2022

In this paper, we propose a formation control algorithm for multi-USVs according to COLREGs. First, we applied the Dynamic Window Approach algorithm that can reflect the kinematic characteristics for the path movement of USVs. Then, we propose a virtual structure-based virtual leader-follower method that applies the advantages of leader-follower and virtual structure methods among conventional formation control algorithms for stability. Next, we proposed a collision avoidance algorithm according to all COLREGs when encountering an opposing ship by adding COLREGs situational conditions to the virtual leader, and finally confirmed the feasibility of the proposed method through simulation.

• Journal of Auto-vehicle Safety Association
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• v.15 no.3
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• pp.59-65
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• 2023

As advanced driving assistance system (ADAS) and autonomous driving performance continue to improve, existing crash accidents and crash types are changing. Accordingly, the collision angle and the seating posture of the occupant are changed. It is necessary to study how the occupant injury mechanism changes according to these different crash types. In this regard, a representative crash test mode was derived when the automatic emergency braking system (AEB), one of the autonomous driving performance, was applied to the representative car-to-car crash scenario in Korea. The derived crash test mode was used to analyse the mechanisms of collision injuries according to both impact angle and the occupant seating posture (reclined seat-back angle). The results obtained through this study can be utilized as reference data for the development of new crash evaluation methods and improvements in crash restraint systems for enhancing crash safety.

• Journal of the Korea Society of Computer and Information
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• v.14 no.12
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• pp.119-126
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• 2009

In this paper propose a method to reduce data for collision resolution. It is to reduce a damage of the back off algorithm to apply in both wire and wireless networks. Double back off size can be work in the first and the last movement point service as a same time in IEEE 802.16. It propose of the algorithm to be suited to IEEE 802.16 for increasing network access percentage in increase a data treat, delay error range and random access over fuller condition. In the result of the computer simulation, the proposal algorism give a increasing speed more than under the this paper. From this computer simulation result, we can get the confirmation of the small loss in saturated and saturated could be a longer in last network.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.603-604
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• 2021

It is a enforcement system to prevent collisions caused by unmanageable parking that may occur in parking lots. There are handicapped people who can get up in parking lots, general vehicles parked in electric vehicle parking areas, and vehicles parked in two lanes. The vehicle above is detected and notified through the deep learning object recognition function. By using a picture or video of an unmanageable parking situation as learning data, the learning data is produced so that the situation can be recognized, and the situation is recognized to determine the presence or absence of unmanageable parking. The purpose is to reduce collisions between parking lot users by making the environment of the parking lot more comfortable.