• Convergence Security Journal
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• v.18 no.4
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• pp.62-71
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• 2018

The rapid growth of virtual reality technology in the era of the 4th Industrial Revolution has accelerated scientification of combat training systems in addition to ICT(information and communications technology) in military field. Recently, research and development of simulators based on virtual reality have been actively conducted in order to solve sensitive issues such as increase of civil complaints due to the noise of a shooting range, prevention of shooting accident, and reduction of training cost. In this paper, we propose two key solutions: spatial synchronization method and modified point mass trajectory model with small angle approximation to overcome technical limitations of a current training simulator. A trainee who wears a haptic vest in a mixed reality environment built in MARS(medium-range assault rifle shooting simulator) is able to conduct not only precision shooting but also two-way engagement with virtual opponents. It is possible for trainee to receive more reliable evaluations in the MARS than an existing rifle simulator based on laser.

• Korean Journal of Remote Sensing
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• v.35 no.3
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• pp.389-400
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• 2019

Level meters are non-invasively capable of measuring the level of the medium, and a growing variety of level meters are being used in the industry in connection with safety and maintenance. The level meter can be measured according to various kinds of medium such as solid medium such as coal, flour, rice and liquid medium such as water and petroleum. In order to reduce the error depending on the medium, the measurement using the Doppler Effect can compensate the measurement error, However, the number of signal processing steps is increased, the operation speed is further increased, the hardware complexity increases, and a high cost structure is required. In this paper, we propose a method to improve the signal processing operation structure of the remote measurement level meter to reduce the amount of computation and the resource usage of the required FPGA.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.169-170
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• 2019

Lately, as artificial intelligence becomes a source of global competitiveness, the government is strategically fostering artificial intelligence that is the base technology of future new industries such as autonomous vehicles, drones, and robots. Domestic artificial intelligence research and services have been launched mainly in Naver and Kakao, but their size and level are weak compared to overseas. Recently, deep learning has been conducted in recent years while recording innovative performance in various pattern recognition fields including speech recognition and image recognition. In addition, deep running has attracted great interest from industry since its inception, and global information technology companies such as Google, Microsoft, and Samsung have successfully applied deep learning technology to commercial products and are continuing research and development. Therefore, we will look at artificial intelligence which is attracting attention based on previous research.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.2
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• pp.131-136
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• 2021

A DC motor is an important driving source used in a wide range along with an induction motor. Although the structure is complex and has disadvantages in terms of maintenance, most of the demands are given to induction motors as a power source in the industry today, but due to its excellent control performance, DC motors are constantly being used as small-sized control motors. In addition, DC motors with a structure capable of high-power and high-efficiency operation are being developed with the development of magnetic materials as a structure capable of using a permanent magnet in a armature. In addition, the configuration of the controller is simpler than that of an induction motor using an inverter, and the demand for a DC motor is still not negligible, so it is still occupied as an important power source. Considering these trends, this paper attempts to investigate the control performance of DC motors through hardware implementation such as modeling through simulation, PWM generation circuit and electric motor circuit using EPLD, and PI control using processor.

• Journal of the Korean Society of Propulsion Engineers
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• v.26 no.6
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• pp.21-27
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• 2022

C_f/SiC composites have low density, high mechanical strength, and good thermal stability, making them promising materials for high-temperature applications such as rocket propulsion and military fields. However, the remaining Si deteriorates physical and thermal properties. In this paper, the de-siliconization was introduced as a method to remove the Si of the C_f/SiC composite fabricated through Liquid Silicon Infiltration(LSI) process. The stability of composite has been tested under an oxyacetylene torch flame for up to 5 minutes. The oxidized surface and cross section of specimens were characterized by 3D scanning, X-ray diffraction(XRD), Optical microscope(OM) and Scanning electron microscope(SEM).

• Convergence Security Journal
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• v.23 no.5
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• pp.9-19
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• 2023

Smart cars, which incorporate information and communication technologies (ICT) to improve driving safety and convenience for drivers, have recently emerged. However, the increasing risk of automotive cybersecurity due to the vulnerability of electronic control units (ECUs) and automotive networks, which are essential for realizing the autonomous driving functions of smart cars, is a major obstacle to the widespread adoption of smart cars. Although there have been only a few real-world cases of smart car hacking, drivers' concerns about the security of smart cars can have a negative impact on their proliferation. Therefore, it is important to understand the risk factors perceived by drivers and the trust in smart cars formed through them in order to promote the future diffusion of smart cars. This study examines the risk factors that affect the formation of trust in smart cars, focusing on security and privacy, and analyzes how these factors affect safety perceptions and trust in smart cars.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.801-807
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• 2024

Linear motion robots are devices that perform functions such as transferring parts or positioning devices, and require high precision. In companies that develop linear robot application systems, human workers are in charge of quality control and fault diagnosis of linear robots, and the result and accuracy of a fault diagnosis varies depending on the skill level of the person in charge. Recently, there have been many attempts to utilize artificial intelligence to diagnose faults in industrial devices. In this paper, we present a system that automatically diagnoses linear rail and ball screw misalignment of a linear robot using transfer learning. In industrial systems, it is difficult to obtain a lot of learning data, and this causes a data imbalance problem. In this case, a transfer learning model configured by retraining an established model is widely used. The information obtained by using an acceleration sensor and torque sensor was used, and its usefulness was evaluated for each case. After converting the signal obtained from the sensor into a spectrogram image, the type of abnormality was diagnosed using an image recognition artificial intelligence classifier. It is expected that the proposed method can be used not only for linear robots but also for diagnosing other industrial robots.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.6
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• pp.53-62
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• 2023

This paper has suggested the necessity of introducing training contents using XR(Extended reality) technology as a way to lower the high rate of nursing accidents among unskilled technical personnel in domestic shipbuilding industry, focusing on cable pulling using winch. The occurrence rate of nursing accidents in the domestic shipbuilding industry was almost double(197.4%) (2017~2020) when compared with other manufacturing industries. In particular, it is worth noting that more than 31.8% of nursing accidents in the shipbuilding industry occurred among workers whose job experience is no more than 6 months. Most of new workers are seen to have hard time due to several factors such as lack of work information, inexperience, and unfamiliarity with the working environments. This indicates that it is essential to incorporate more effective training method that could help new workers become familiar with technical skills as well as working environments in a short period of time. Currently, education/training at the domestic shipyard is biased toward technical skills such as welding, painting, machine installation, and electrical installation. Contrary, even more important training required to get new workers used to the working environment has remained at a superficial level such as explaining ship building processes using 2D drawings. This may be the reason why it is inevitable to repeat similar training at OJT (On-the-Job Training) even at the leading domestic companies. Domestic shipbuilding industries have been attracting a lot of new workers thanks to recent economic recovery, which is very likely to increase the occurrence of disasters. In this paper, the introduction of training using XR technology was proposed, and as a specific example, the process of pulling cables using winches on ships was implemented as XR-based training content by using Unity. Using the developed content, it demonstrated that new workers can experience the actual work process in advance through simulation in a virtual space, thereby becoming more effective training content that can help new workers become familiar with the work environment.

• Proceedings of the Korean DIstribution Association Conference
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• 2001.11b
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• pp.145-163
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• 2001

최근 인터넷 상거래가 급속히 확산되면서 기업의 경쟁이 실물세계와 가상세계에서 발생하는 현상이 전개되고 있다. 즉, 유통경로의 측면에서 볼 때 기존의 물리적 세계에 존재하는 전통적인(오프라인) 유통경로와 사이버공간에 존재하는 가상(온라인) 유통경로가 서로 경쟁하는 형국이 벌어지고 있는 것이다. 유통경로간 경쟁의 중심부에는 고객이 자리잡고 있다. 어떤 경로든 소비자의 욕구를 정확히 파악하고, 이들에게 최상의 유통서비스를 제공하는 경로는 생존·번영할 수 있을 것이다. 사실 현재 진행되고 있는 논의들과 현상들을 볼 때, 어느 한 유통경로가 다른 유통경로를 완전히 대체하는 제로섬 게임의 양상은 나타나고 있지 않다. 즉, 상당기간 두 유통경로는 상호 병존할 것으로 보인다. 본 연구는 이러한 점에 초점을 맞추어 이들 두 경로가 자신들만의 차별화된 경쟁우위를 가지고 생존할 수 있는 마케팅전략을 구상하기 위해 시도되었다. 이러한 전략을 제시하기 위해서는 우선 이들 두 경로상에서 소비자의 구매(쇼핑)행동은 어떻게 다른가에 대한 비교연구가 선행되어야 할 것이다. 본 연구는 온라인 유통경로와 오프라인 유통경로에서 소비자 구매행동의 차이를 비교분석 하는데 그 목적을 두고 있다. 특히 제품유형별로 온라인과 오프라인에서 구매속성중요도가 어떻게 달라지는가를 확인. 검증해 보기 위해 시도되었다. 캐주얼의류, 여행상품, 음악CD를 가지고 인터넷 사용자 500명을 대상으로 온라인조사를 실시한 결과, 온라인과 오프라인에서 구매속성 중요도에는 유의한 차이가 나타났다. 이 결과를 토대로 오프라인 매장과 온라인 매장이 어떻게 차별화해야 하는가에 대한 시사점을 제시하였다.통계적인 차이가 있었다(P<0.05). 계육내 CLAisomer는 1, 2, 3% 급여구에서 각각 12.23, 18.74, 25.67 mg/g으로 처리구간에 현저한 차이를 보였다(P<0.05). 본 연구의 결과 CLA의 급여는 SBO와 CT에 비하여 증체량을 개선하고 혈중HDL을 높여주는 경향을 보였지만 ND항체가는 개선되지 못하였다.으며, 그 효과는 농도에 의존적이었다, 고콜레스테롤 투여군(HC)의 분변 중 총 지질과 중성지방 농도는 정상대조군(C)에 비해 다소 높았고, 총 콜레스테롤의 경우는 유의적으로 높게 나타났다. 그러나 뽕잎첨가군(HC5M과 HC10M)의 총 지질, 중성지방 및 콜레스테롤 농도는 콜레스테롤 투여군(HC)에 비해 분변으로 배설량이 증가하는 현상을 보였다. 이상의 결과를 살펴보면 뽕잎 분말은 고콜레스테롤식이를 섭취하는 경우 혈청과 간장의 지질수준은 떨어뜨리고, 분변중 지질배설량을 상승시키는 효과가 현저한 것으로 보인다.둘째. 1990년대 한국과 미국 패션시장의 가격과 품질간의 상관계수의 범위는 제품군별. 산업범주별 로 상이한 분포를 보이고 있었다. 패션제품군별로 보 면, 한국의 경우는 가장 높은 '여행용가방(r = 0.707)' 에서 가장 낮은 '자외선 차단화장품(r = -0.58)'까지, 그리고 미국 패션제품군의 상관계수의 범위는 '팬티 스타킹'의 0.820에서 '남성용 런닝슈즈'의 -0.472까지의 분포를 나타냈다. 마지막으로, 제품의 가격과 품질에 대한 정보를 소비자가 알 경우 얻을 수 있는 소비자의 구매이득 을 추산한 결과 패션제품시장에서 완전한 품질정보를 가지고 있다고 가정한 '현명한 사람'은, 최고가격의 제품만을

• Membrane Journal
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• v.26 no.3
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• pp.220-228
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• 2016

Carbon molecular sieve (CMS) hollow fiber membranes were prepared by carbonizing a polyimide precursor manufactured by non-solvent induced phase separation process. Gas separation performance of CMS hollow fiber membrane was investigated on the effect of three carbonization conditions. CMS membrane with the highest gas separation performance was obtained at the pyrolysis temperature of $250-450^{\circ}C$: $N_2$, $SF_6$, and $CF_4$ permeance were 20, 0.32, 0.48 GPU, respectively, and $N_2/SF_6$ and $N_2/CF_4$ selectivities were 62 and 42, respectively. In the $SF_6/CF_4/N_2$ mixture gas test, when the stage cut was 0.2, the recovery ratio of $SF_6$ and $CF_4$ was over 99% and 98%. $SF_6$ concentration ratio was 4.5 times higher than the $SF_6$ concentration at the feed side. From the results, it was concluded that CMS membrane was one of the promising membranes for recovery Perfluorocompound gases process.