• The Journal of the Acoustical Society of Korea
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• v.37 no.6
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• pp.469-474
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• 2018

As urban population increases, research on urban environmental noise is getting more attention. In this study, we classify the abnormal noise occurring in traffic situation by using a deep learning algorithm which shows high performance in recent environmental noise classification studies. Specifically, we classify the four classes of tire skidding sounds, car crash sounds, car horn sounds, and normal sounds using convolutional neural networks. In addition, we add three environmental noises, including rain, wind and crowd noises, to our training data so that the classification model is more robust in real traffic situation with environmental noises. Experimental results show that the proposed traffic sound classification model achieves better performance than the existing algorithms, particularly under harsh conditions with environmental noises.

• Journal of the Korean Society of Marine Environment & Safety
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• v.27 no.4
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• pp.483-491
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• 2021

The identification of regional collision risks in water areas is significant for the safety of navigation. This paper introduces a new method of collision risk assessment that incorporates a clustering method based on the distance factor - hierarchical clustering - and uses real-time data in case of several surrounding vessels, group methodology and preliminary assessment to classify vessels and evaluate the basis of collision risk evaluation (called HCAAP processing). The vessels are clustered using the hierarchical program to obtain clusters of encounter vessels and are combined with the preliminary assessment to filter relatively safe vessels. Subsequently, the distance at the closest point of approach (DCPA) and time to the closest point of approach (TCPA) between encounter vessels within each cluster are calculated to obtain the relation and comparison with the collision risk index (CRI). The mathematical relationship of CRI for each cluster of encounter vessels with DCPA and TCPA is constructed using a negative exponential function. Operators can easily evaluate the safety of all vessels navigating in the defined area using the calculated CRI. Therefore, this framework can improve the safety and security of vessel traffic transportation and reduce the loss of life and property. To illustrate the effectiveness of the framework proposed, an experimental case study was conducted within the coastal waters of Mokpo, Korea. The results demonstrated that the framework was effective and efficient in detecting and ranking collision risk indexes between encounter vessels within each cluster, which allowed an automatic risk prioritization of encounter vessels for further investigation by operators.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37B no.11
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• pp.1041-1049
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• 2012

The transactional memory was proposed to solve the problems of the conventional lock-based synchronization methods in the shared memory multiprocessor system. Various implementation methods for putting the high performance transactional memory to practical use have been continuously studied. However, these studies focus only on the commercialization and performance enhancement of the transactional memory. Besides, there have been few studies to analyze the system overhead of the transactional memory according to the conflict management policy. Thus this paper classifies hardware transactional memory, which is one kind of transactional memories, into four types according to the conflict management policy, and then compares and analyzes their performance and system bus traffic through their modeling and simulation. In addition, the most effective conflict management policy for the hardware transactional memory is presented through these comparison and analysis.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.75-84
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• 2021

In this paper, we propose an adaptive concurrency control scheme to reduce conflicts and working time in the cooperative work in mixed reality. To this ends, we first classified the goals, tasks and ownerships of the cooperative work. Then, the classified relationships are mapped according to their temporal and hierarchical relationships of shared object manipulation in the cooperative work. The proposed system provides adaptive concurrency controls of the shared object according to temporal orders of the sub-goals. With the proposed scheme, a participant is enable to move and rotate a shared object although another already has an ownership of the shared object in a specific order of the sub-goal. Thus, the proposed system provides adaptive and realistic cooperative working environment. We conducted a user study of the proposed scheme. The proposed system could reduce conflicts and working times comparing to conventional approaches.

• Journal of Advanced Navigation Technology
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• v.23 no.1
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• pp.1-7
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• 2019

Thisstudy presentsthe development of a fast-time airport surface simulator. The simulator usesthe output from a first-come first-served (FCFS) scheduler and has adopted one-dimensional dynamic model to simulate the movement of the aircraft on the surface. Higher collision risks situations in the airport surface traffic are analyzed to classify those situations into six cases. A conflict detection and resolution algorithm is implemented to maintain separation distance and to prevent deadlock. The simulator was tested with a scenario at the Incheon International Airport that contains 72 aircraft. Without the conflict detection and resolution, various conflict situations are identified. When the conflict detection and resolution algorithm is managing the traffic, it is confirmed that the conflicts are removed at the price of additional delays. In the conflict resolution algorithm, three prioritization strategies are implemented, and delayed aircraft count and average additional delays are compared. Prioritization based on remaining time or distance showed smaller total additional delay compared to choosing minimum delay priority for each situation.

• Journal of the Korean Chemical Society
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• v.67 no.5
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• pp.378-392
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• 2023

The purpose of this study is to analyze the pre-service chemistry teachers' cognition of the nature of model in process of designing and developing models using technology. For this purpose, 19 pre-service chemistry teachers' in the 3rd grade of a education college located in the central region observe experimental phenomena related to Boyle's law presented in the 7th grade science textbook and researchers required the design and development of a model related to the observed experimental results using technology. Based on previous studies, the nature of model were classified into two aspect: 'Representational aspect' and 'Explanatory aspect'. The 'Representational aspect' was classified into 'Representation', 'Abstraction', and 'Simplification', and the 'Explanatory aspect' was classified into 'Analysis', 'Interpretation', 'Reasoning', 'Explanation', and 'Quantification'. The pre-service chemistry teachers' cognition were analyzed by the classification. As a result of the study, the 'Representation' of the 'expressive aspect' was uniformized in the form of space that changes in volume, and the pressure was expressed as the Brightness inside the cylinder or frequency of color change of particles for 'Abstraction'. In the case of 'Simplification', the particle collision was expressed as a perfectly elastic collision, but there was a group that could not simply indicate the type of particle. In the 'Explanatory aspect', in the case of 'Analysis', volume was classified as a manipulated variable, and in the case of 'Interpretation', most groups analyzed the change in pressure through the collision of gas particles. However, the cognition involved in 'Reasoning' was not observed much. In the case of 'Explanation', there were groups that did not succeed in explanation because the area where the particles collided was not set or incorrectly set, and in the case of 'Quantification', there was a group that formulated the number of collisions per unit time, and on the contrary, there was a group that could not quantify the number of collisions because they could not be expressed in numbers.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.37 no.5
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• pp.1-10
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• 2000

In this paper, we propose a Fuzzy Classifier System(FCS) makes the classifier system be able to carry out the mapping from continuous inputs to outputs. The FCS is based on the fuzzy controller system combined with machine learning. Therefore the antecedent and consequent of a classifier in FCS are the same as those of a fuzzy rule. In this paper, the FCS modifies input message to fuzzified message and stores those in the message list. The FCS constructs rule-base through matching between messages of message list and classifiers of fuzzy classifier list. The FCS verifies the effectiveness of classifiers using Bucket Brigade algorithm. Also the FCS employs the Genetic Algorithms to generate new rules and modify rules when performance of the system needs to be improved. Then the FCS finds the set of the effective rules. We will verify the effectiveness of the poposed FCS by applying it to Autonomous Mobile Robot avoiding the obstacle and reaching the goal.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.10a
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• pp.66-68
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• 2013

이 연구에서는 내수면 선박의 현황 및 사고사례에 대하여 조사 및 분석하였다. 또한, 내수면 선박에 적용되는 여러 법규의 내용을 내수면 선박의 항해설비, 선원의 자격요건, 내수면선박의 항행규정으로 분류하고 검토하였으며, 외국의 주요 내수면 항행규정 사례 및 국제해상충돌방지규칙을 고찰하여 국내 항행규정의 문제점 및 보완점을 제안하였다.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1174-1179
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• 2007

Train collision and derailment are types of accident that happen with low probability of occurrence but could lead to disastrous consequences including multiple life losses. Risk assessment of the accidents are typically performed per their hazardous events, which are defined as events that cause accidents. This study classifies the train collision and derailment based on the relevant hazardous event, and investigates the causes related to the hazardous events. Finally, the relation of the causes, hazardous events, and the accidents are defined.

• 전기의세계
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• v.42 no.1
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• pp.5-11
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• 1993

금속이나 세라믹 입자를 용사하여 보호피막을 형성하는 기술은 화염을 사용하는 방법에서 시작했으며 용사재료는 분말, 선, 봉의 형태로 공급되었다. 1960년대에 상업적인 plasma 용사장비가 개발되었으며 여기서 사용된 D.C.plasma jet를 이용하여 분말형태의 용사재료를 용융하고 고속으로 피용사테에 용융입자를 분사하여 피용사체면에 충돌시켜 다층의 얇은 피막을 형성한다. 최근(1985년)에는 R.F.(Radio Frequency) Plasma를 이용하여 열전도도가 작은 재료나 산소와 반응성이 큰 재료를 용사하는 방법도 개발되고 있다. 용사피복법은 현재 여러가지 방법이 실용되고 있으며 재료를 용융하는 열원에 따라 분류하면 표1과 같다. 즉 산소와 연료 가스의 혼합에 의한 연소나 폭발에너지를 이용하는 가스식 용사법과 Arc, Plasma등의 전기 에너지를 이용하는 전기식 용사법으로 크게 나눌 수 있다.