• Tribology and Lubricants
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• v.40 no.1
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• pp.1-7
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• 2024

Ball bearings are a major component of mechanical parts for transmitting rotation. Compared to tapered roller bearings, ball bearings offer less rolling resistance, which leads to reduced heat generation during operation. Because of these characteristics, ball bearings are widely used in electric vehicles and machine tools. The design of ball bearing cages has recently emerged as a major issue in ball bearing design. Cage design requires pre-verification of performance using theoretical or experimental formula or computational fluid dynamics (CFD). However, CFD analysis is time-consuming, making it difficult to apply in case studies for design decisions and is mainly used in performance prediction following design confirmation. To use CFD in the early stages of design, main-taining analytical accuracy while reducing the time required for analysis are necessary. Accordingly, this study proposes a laminar steady-state segment CFD technique to solve the problem of long CFD analytical times and to enable the use of CFD analysis in the early stages of design. To verify the reliability of the CFD analysis, a bearing drag torque test is performed, and the results are compared with the analytical results. The proposed laminar steady-state segment CFD technique is expected to be useful for case studies in bearing design, including cage design.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.4
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• pp.617-629
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• 2020

In order to overcome the limitations of the rule-based intrusion detection system due to changes in Internet computing environments, the emergence of new services, and creativity of attackers, network anomaly detection (NAD) using machine learning and deep learning technologies has received much attention. Most of these existing machine learning and deep learning technologies for NAD use supervised learning methods to learn a set of training data set labeled 'normal' and 'attack'. This paper presents the feasibility of the unsupervised learning AutoEncoder(AE) to NAD from data sets collecting of secured network traffic without labeled responses. To verify the performance of the proposed AE mode, we present the experimental results in terms of accuracy, precision, recall, f1-score, and ROC AUC value on the NSL-KDD training and test data sets. In particular, we model a reference AE through the deep analysis of diverse AEs varying hyper-parameters such as the number of layers as well as considering the regularization and denoising effects. The reference model shows the f1-scores 90.4% and 89% of binary classification on the KDDTest+ and KDDTest-21 test data sets based on the threshold of the 82-th percentile of the AE reconstruction error of the training data set.

• Korean Journal of Cognitive Science
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• v.25 no.4
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• pp.343-384
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• 2014

In order to unravel the problems of the mind, today's cognitive science has expanded its perspective from the narrow framework of the past computer model or neuronal network model to the wider frameworks of interaction with the brain in interaction with the body in interaction with their environments. The theories of 'the extended mind', 'embodied mind', or 'enactive mind' appeared through such processes are working on a way to move into the environments while the problem to unravel the complex process of interactions between the mind, the body and the environments are left alone. This problem can be traced back as far as to Gibson and Maturana & Varela who tried at first to unravel the problem of the mind in terms of interaction between the brain, the body and there environments in 1960~70s. It's because Gibson stressed the importance of the 'affordance' provided by the environment while Maturana & Varela emphasized the 'autonomy' of auto-poiesis of life. However, it will be proper to say that there are invariants in the affordances provided by the environment as well as the autonomy of life in the state of structural coupling of the environment's variants and life's openness toward the environment. In this case, the confrontational points between Gibson and Maturana & Varela will be resolved. In this article, I propose Benjamin's theory of mimesis as a mediator of both theories. Because Benjamin's concept of mimesis has the process of making a constellation of the embodiment of the affordance and the enaction of new affordance into the environment at the same time, Gibson's concept of the affordance and Maturana & Varela's concept of embodiment and enaction will be so smoothly interconnected to circulate through the medium of Benjamin's concept of mimesis.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.39-47
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• 2020

In this paper, we proposed a deep learning-based detection method using Saliency Attention to detect salient objects in images. The salient object detection separates the object where the human eye is focused from the background, and determines the highly relevant part of the image. It is usefully used in various fields such as object tracking, detection, and recognition. Existing deep learning-based methods are mostly Autoencoder structures, and many feature losses occur in encoders that compress and extract features and decoders that decompress and extend the extracted features. These losses cause the salient object area to be lost or detect the background as an object. In the proposed method, Saliency Attention is proposed to reduce the feature loss and suppress the background region in the Autoencoder structure. The influence of the feature values was determined using the ELU activation function, and Attention was performed on the feature values in the normalized negative and positive regions, respectively. Through this Attention method, the background area was suppressed and the projected object area was emphasized. Experimental results showed improved detection results compared to existing deep learning methods.

• Journal of the Korean Society for Nondestructive Testing
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• v.29 no.5
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• pp.436-441
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• 2009

A fiber optic sensor is prospective to be applied to structural health monitoring. Especially, a fiber Bragg grating(FBG) sensor is one of the most popular sensors for the structural health monitoring. The FBG sensor has several demodulation systems for tracking the shift of the Bragg wavelength. The dynamic bandwidth is dependent on the demodulation system. In this paper, the sensing mechanism is that the slope of the optical spectrum of FBG could be used as its sensitivity when the tunable laser shot the monochromatic laser wavelength at the highest slope point. In this technique, the high sensitivity is guaranteed even though the sensing range is limited. In an example of the application, the composite plate embedding a FBG sensor was manufactured by using an autoclave method and the above sensing mechanism was applied to the composite plate. Firstly, the natural frequencies of the plate were successfully measured by the FBG sensor during the impact hammer test. Secondly, a high-power speaker was used to force the plate to be vibrated at the specific frequency that was one of the natural frequencies. During the shaking, the FBG sensor measures the dynamic characteristics and ESPI was also used to measure the mode shape. From the two dynamic tests, the availability of the FBG sensor system and the ESPI was proven as a technique for measuring the dynamic characteristics of composite structure.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.4
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• pp.827-836
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• 2018

In this study, we developed a PC - based motorcycle simulator based on the development technology of a virtual patrol motorcycle training system. This simulator has been developed to be applied to a variety of fields such as driving training for beginners, driver factor research, and system development such as ABS, which can be seen in advanced models. The weight of the motorcycle operated by the patrol guards is more than 400Kg. There is a lot of risk due to the nature of work without prior practice. Therefore, we implemented a study on the untilization of physical stress and temporal pressure in emergency situations. In order to get a feeling that the motorcycle simulator is operating in real-life, it is important that the mutual reliable signal transmission and operation feel between the driver and the simulator. In order to achieve this, we developed a system that can apply the sub-systems of the actual vehicle to the motorcycle simulator in order to generate the same operation feeling as the actual vehicle. Based on these results, we have developed a method of generating a feedback queue.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.11
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• pp.88-95
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• 1998

This paper is the result of constructing information processing system such as living creatures' brain based on artificial life techniques. The living things are best information processing system in themselves. One individual is developed from a generative cell. And a species of this individual has adapted itself to the environment through evolution. In this paper, we propose a new method of designing neural networks using biological inspired developmental and evolutionary concept. Ontogeny of organism is embodied in cellular automata(CA) and phylogeny of species is realized by evolutionary algorithms(EAs). We call 'Evolving Cellular Automata Neural Systems' as ECANSI. The connection among cells is determined by the rule of cellular automata. In order to obtain the best neural networks in given environment, we evolve the arragemetn of initial cells. The cell, that is a neuron of neural networks, is modeled on chaotic neuron with firing or rest state like biological neuron. A final output of network is measured by frequency of firing state. The effectiveness of the proposed scheme is verified by applying it to Exclusive-OR and parity problem.

• Resources Recycling
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• v.20 no.1
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• pp.14-27
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• 2011

In order to review the End-of Life Vehicle(ELV) recycling system and recycling business of dismantlers in Japan, scheme of the automobile recycling law, status of ELV recycling, exports of used cars, ELV marketing business of dismantler and upgrading of used parts net work were studied. On the other hand, field survey in details for dismantling works were conducted at West-Japan Auto Recycling Co.. Although the ELV recycling system has been operating smoothly without any noticeable trouble, recycling business is running under severe circumstance. Exports of used cars have been increasing day by day through worldwide 176 countries. Finally, reuse parts of ELV concerning innovation marketing was discussed.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.12
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• pp.615-622
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• 2016

Automotive control software can be a source of critical safety issues when developers do not comply system constraints. However, a violation is difficult to identify in complicated source code if not supported by an automated verification tool. This paper introduces two possible approaches that check whether an automotive control software complies API call constraints to compare their performance and effectiveness. One method statically analyzes the source code and explores all possible execution paths, and the other utilizes a model checker to monitor constraint violations for a given set of constraint automata. We have implemented both approaches and performed a series of experiments showing that the approach with model-checking finds constraint violations more accurately and scales better.

• The Bulletin of The Korean Astronomical Society
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• v.41 no.2
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• pp.53.1-53.1
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• 2016

국립대구과학관 천체 관측 핵심시설인 1m 반사망원경을 개발하고 설치 완료하였다. 본 발표에서는 국립대구과학관 1m 망원경의 시스템 사양과 개발 및 설치과정을 전반적으로 기술하고 앞으로의 활용계획에 대해 소개하고자 한다. 이번에 도입된 주망원경은 지난 2014년 11월부터 광학계 및 마운트 설계를 시작으로 2016년 5월까지 약 1년 6개월의 개발기간을 거쳐 설치 완료되었다. 순수 국내기술로 개발된 주망원경은 주경 1,000mm(부경 300mm)의 유효구경을 가지며 후방초점거리가 700mm인 초점비 F/8의 리치-크레티앙 방식의 광학계로 설계되었다. 레이저 간섭계를 이용하여 거울면 전체의 형상 오차를 정밀하게 측정한 결과 주경면 PV < ${\lambda}/4$, RMS < ${\lambda}/20$, 부경면 PV < ${\lambda}/10$, RMS < ${\lambda}/50$의 형상 정밀도를 가진다. 포크형태의 경위대식 마운트 구조로 방위각, 고도 양축과 디로테이터에 각각 모터가 장착되어 움직이는 다이렉트 드라이브 방식으로 구동된다. 최대 구동속도는 $2^{\circ}/s$이상, 포인팅 정밀도는 2'이하, 10분간 추적 정밀도는 3"이하(10분간 오토가이더 추적 정밀도는 1"이하)의 구동 성능을 가진다. 제어용 컨트롤 시스템은 JTCS(Justek Telescope Control System)를 사용한다. 성능 평가를 위해 시험 관측된 10~13등급 사이 10개의 별들에 대한 FWHM 측정결과는 4~5" 범위에 있다. 앞으로 지속적인 성능 평가와 업그레이드를 통해 향후 정밀도를 높여 학술 연구용으로 공개할 예정이다. 이번 국립대구과학관 1m 주망원경의 도입으로 지역 천문교육 프로그램이 한 단계 더 도약할 수 있을 것으로 기대한다.