• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권2호
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• pp.91-99
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• 2013

An autonomous unmanned underwater vehicle is a type of marine self-propelled robot that executes some specific mission and returns to base on completion of the task. In order to successfully execute the requested operations, the vehicle must be guided by an effective navigation algorithm that enables it to avoid obstacles and follow the best path. Architectures and principles for intelligent dynamic systems are being developed, not only in the underwater arena but also in related areas where the work does not fully justify the name. The problem of increasing the capacity of systems management is highly relevant based on the development of new methods for dynamic analysis, pattern recognition, artificial intelligence, and adaptation. Among the large variety of navigation methods that presently exist, the dynamic window approach is worth noting. It was originally presented by Fox et al. and has been implemented in indoor office robots. In this paper, the dynamic window approach is applied to the marine world by developing and extending it to manipulate vehicles in 3D marine environments. This algorithm is provided to enable efficient avoidance of obstacles and attainment of targets. Experiments conducted using the algorithm in MATLAB indicate that it is an effective obstacle avoidance approach for marine vehicles.

• 한국전기전자재료학회논문지
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• 제36권3호
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• pp.226-232
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• 2023

As a potential alternative to flash memory, HfO₂/Al₂O₃ stacks appear to be a viable option as charge capture layers in charge trapping memories. The paper undertakes a review of HfO₂/Al₂O₃ stacks as charge trapping layers, with a focus on comparing the number, thickness, and post-deposition heat treatment and γ-ray and white x-ray treatment of such stacks. Compared to a single HfO₂ layer, the memory window of the 5-layered stack increased by 152.4% after O₂ annealing at ±12 V. The memory window enlarged with the increase in number of layers in the stack and the increase in the Al/Hf content in the stack. Furthermore, our comparison of the treatment of HfO₂/Al₂O₃ stacks with varying annealing temperatures revealed that an increased annealing temperature resulted in a wider storage window. The samples treated with O₂ and subjected to various γ radiation intensities displayed superior resistance. and the memory window increased to 12.6 V at ±16 V for 100 kGy radiation intensity compared to the untreated samples. It has also been established that increasing doses of white x-rays induced a greater number of deep defects. The optimization of stacking layers along with post-deposition treatment condition can play significant role in extending the memory window.

• 한국포장학회지
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• 제19권2호
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• pp.61-65
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• 2013

Modified atmosphere (MA) of reduced $O_2$ and elevated $CO_2$ concentrations has been used for keeping the quality of fresh produce and extending the shelf life. As a way to attain the beneficial MA package around the produce, a gas diffusion tube or perforation can be attached onto the container and controlled on real time in its opening/closing responding to $O_2$ and $CO_2$ concentrations measured by gas sensors. The timely-controlled opening of the gas diffusion tube can work in harmony with the produce respiration and help to create the desired MA. By use of the mathematical modeling, the effect of tube dimension on the controlled container atmosphere was figured out in this study. Spinach and king oyster mushroom were used as typical commodities for designing the model container system (0.35 and 0.9 kg in 13 L, respectively) because of their respiration characteristics and the optimal MA condition ($O_2$ 7~10%/$CO_2$ 5~10% for spinach; $O_2$ 2~5%/$CO_2$ 10~15% for mushroom). With a control logic for the gas composition to stay as close as possible to optimum MA window without invading injurious low $O_2$ and/or high $CO_2$ concentrations, the atmosphere of the sensor-controlled container could stay at its lower $O_2$ boundary or upper $CO_2$ limit under certain tube dimensional conditions. There were found to be the ranges of the tube diameter and length allowing the beneficial MA. The desired range of the tube dimension for spinach consisted of combinations of larger diameter and shorter length in the window of 0.3~2 cm diameter and 0.2~10 cm length. Similarly, that for king oyster mushroom was combinations of larger diameter and shorter length in the window of 0.9~2 cm diameter and 0.2~3 cm in length. Clear picture on generally affordable tube dimension range may be formulated by further study on a wide variety of commodity and pack conditions.

• 한국정보시스템학회지:정보시스템연구
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• 제29권1호
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• pp.241-265
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• 2020

Purpose Various machine learning techniques are used to implement for predicting corporate credit. However, previous research doesn't utilize time series input features and has a limited prediction timing. Furthermore, in the case of corporate bond credit rating forecast, corporate sample is limited because only large companies are selected for corporate bond credit rating. To address limitations of prior research, this study attempts to implement a predictive model with more sample companies, which can adjust the forecasting point at the present time by using the credit score information and corporate information in time series. Design/methodology/approach To implement this forecasting model, this study uses the sample of 2,191 companies with KIS credit scores for 18 years from 2000 to 2017. For improving the performance of the predictive model, various financial and non-financial features are applied as input variables in a time series through a sliding window technique. In addition, this research also tests various machine learning techniques that were traditionally used to increase the validity of analysis results, and the deep learning technique that is being actively researched of late. Findings RNN-based stateful LSTM model shows good performance in credit rating prediction. By extending the forecasting time point, we find how the performance of the predictive model changes over time and evaluate the feature groups in the short and long terms. In comparison with other studies, the results of 5 classification prediction through label reclassification show good performance relatively. In addition, about 90% accuracy is found in the bad credit forecasts.

• 통상정보연구
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• 제10권1호
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• pp.97-115
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• 2008

This paper is to review how Korean trading companies perform and promote the digital transformation through the e-networking with global market, and how much they extend the volume of export, and make the company grow inward or outward in order to enhance the effects of economic growth in Korea. It is suggested that global agreement on e-Trade(or u-Trade) should be made in order to expand the global e-networking practices and to ensure transferring of transport documents(or business documents). Moreover, it also suggested that networking on the global trading partners such as government authorities, diplomatic offices abroad, overseas Koreans, students studying abroad, Korean merchants abroad, etc. should be made in single window for improving and upgrading the image of Korean trading companies. By making of global e-network platform between overseas business partners, trading companies are able to expect various synergy effects such as improving the satisfaction of their customers, promoting the global transactions, reducing the operation and transaction cost, helping fording overseas buyers, and extending export volume and sales profit, etc. Customers can also obtain the information about trading goods easily and rapidly, and cut down the transaction stage using information exchange with partners. All of the trading partners in the world can maintain their business partnership as long as they use the global e-network.

• 한국자기학회:학술대회 개요집
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• 한국자기학회 2013년도 자성 및 자성재료 국제학술대회
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• pp.95-95
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• 2013

The NdFeB magnet can be classified into the sintered magnet and bonded magnet. The former has superior magnet characteristics but the degree of freedom in shape is highly restricted, whereas the latter has a high degree of freedom, but its magnet characteristics are inferior to the former. When a NdFeB magnet is used at the elevated temperature, part of Nd must be replaced with a high priced Dy to increase its coercive force. For these reasons, a Dy free and high performance NdFeB bonded magnet is desired strongly. The author successfully developed a Dy free NdFeB anisotropic bonded magnet based on discovery of new phenomena called as d-HDDR reaction and its mass production process such as a thermally balanced hydrogen reaction furnace, micro capsuled powder, compression molding / injection molding under magnetic field, magnetic die and so on. Applied to DC brush seat motor for automotive use, the motor has become 50% small in size and weight. The commercialization of a half sized motor for automotive use has been realized up to the market share of 30%. At present, its commercialization is extending to various types of motors such as power tool, ABS motor, wiper motor, window motor, electric bike power motor, and compressor motor. It is expected that the applications will be increasingly enlarged to EV motor, wind generator, EPS motor, washing machine, and glass cutting machine. This innovative technology has realized Dy free high performance magnet and mudt make big contribution to not only rare element strategies but also energy conservation.

• 정보처리학회논문지B
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• 제10B권5호
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• pp.527-534
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• 2003

An active contour model called snake is powerful tool for object contour extraction. But, conventional snakes require exhaustive computing time, sometimes can´t extract complex shape contours due to the properties of energy function, and are also heavily dependent on the position and the shape of an initial snake. To solving these problems, we propose in this paper an improved snake called "shaking snake", based on a greedy algorithm. A shaking snake consist of two steps. According to their appropriateness, we in the first step move each points directly to locations where contours are likely to be located. In the second step, we then align some snake points with a tolerable bound in order to prevent local minima. These processes shake the proposed snake. In the experimental results, we show the process of shaking the proposed shake and comparable performance with a greedy snake. The proposed snake can extract complex shape contours very accurately and run fast, approximately by the factor of five times, than a greedy snake.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2000년도 제18회 학술발표회 논문개요집
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• pp.145-145
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• 2000

M-CeO2 (M : noble metal) catalysts have been widely studied as three-way catalysts and methanol synthesis catalysts. Ceria is thought to play a number of roles in these catalysts. The Ce(IV)/Ce(III) redox pair may store/release gases under oxidizing/reducing conditions, extending the operational window. Additionally, metal-ceria interactions lead to several effects, including the dispersion of the active components and promoting the activation of molecules such as CO or NO. Pd is a promising component to current TWC formulations and behaves particularly well when compared with Pt and Rh-based catalysts for low-temperature oxidation of Co and hydrocarbon. However the effect of Pd-ceria interactions on the physicochemical properties of Pd and the redox properties of Ce is not elucidated yet. In order to know exactly about the metal-ceria interactions, the model study are expecting to give a better environment, resulting in the wide use of the surface science tools. The substrate was Si(100) wafer, on which Ta metal was sputtered as a thickness of 100nm. The CeO2 thin film of 30nm was deposited by using the magnetron sputtering. Spin coating and magnetron sputtering methods were used to make the Pd thin film layer. The prepared sample was investigated by in-situ XPS, AES, SEM and AFM analysis.

• 대한원격탐사학회지
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• 제31권6호
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• pp.513-521
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• 2015

해색 원격탐사 자료의 처리과정에서는 일반적으로 관측 영역의 확보를 위해 시공간적 합성을 수행하며, 이 때 Level-2 flag를 참조하여 합성 재료가 되는 영상의 유효성을 판단한다. NASA OBPG의 표준 알고리즘은 stray light에 의한 관측 오차를 최소화하기 위해서 필터링 윈도우를 채택하고 있으나, 이로 인한 관측 영역의 손실이 많다. 이 연구는 유효 관측 영역의 복원/확장을 통한 해색 원격탐사 자료의 품질 향상에 목적을 둔다. 이를 위해서 MODIS/Aqua의 필터링 윈도우의 크기 변화에 따른 관측 영역과 클로로필a 농도 측정값의 변화를 분석하였다. 그 결과 유효 관측 영역에 있어 Level-2 swath 자료, Level-3 일별 합성자료, 8일 합성자료, 월별 합성자료에서 각각 $13.2({\pm}5.2)%$, $30.8({\pm}16.3)%$, $15.8({\pm}9.2)%$, $6.0({\pm}5.6)%$의 복원 효과가 발생하였으며, 표준 자료와의 측정값 차이는 공통 관측 영역에서 평균 0.012% 이하로 매우 유의하였다. 또한 공간 영역 확장으로 인해 시계열 자료에서의 관측 밀도도 상승하였으며 그 이득은 8일 합성자료에서 가장 크게 나타났다. 제안 방법을 통한 유효 영역의 확장은 자료 생산의 효율성뿐만 아니라 자료 분석의 통계적 신뢰성 확보의 측면에서도 해색 원격탐사 자료의 품질 향상에 기여할 수 있다.

• 지질공학
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• 제12권1호
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• pp.23-34
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• 2002

시추공 영상조사는 지하 구조를 직접 확인함으로서 좀더 정확한 자료를 얻기 위하여 실시되고 있으나, 시추공 좁은 공간내에 국한된 정보이기 때문에 원하는 공간범위의 지하 구조물에 직접적으로 적용하기 어려운 실정이다. 이에 시추공 영상 자료를 처리하고, 방향에 따른 위경사를 고려하여, 2차원의 지하 불연속면을 원하는 단면의 방향에따라 가시화하는 프로그램을 개발하고, 지하 불연속면의 분포를 넓은 공간에 확장하여 현장에 적용함으로서 시추공 영상분석을 보완하였다. 이와 관련된 프로그림이 별도로 판매되어 일부에서 사용되고 있으나, 내용이 알려지지 않았고 일반인이 사용하는데에 제한이 있었으므로 이번 기회에 희망자들이 쉽게 사용할 수 있게 될 것이다. 지하 구조물이 계획된 지역의 지하단면을 작성하기 위하여 포트란과 비쥬얼배직 프로그래밍 언어를 사용하여 Window GUI(Graphic User Interface) 환경으로 프로그램을 제작하였고 이 프로그램을 이용하여 전라북도 장수군 계남면 장계리 지역 터널계획 구간의 불연속면 분포도를 작성하였다. 시추공내에 국한된 불연속면을 가시화 프로그램을 이용하여 공간적으로 확장함으로서 부근 전체의 지하구조를 파악하며, 다른 지점에서의 불연속면의 분포 형태를 추측할 수 있었다. 또한 터널에 영향을 미치는 불연속면의 절리간극의 크기 범위와 불연속면들의 출현 심도 및 영향 범위 등을 계획된 터널의 방향에 따라 가시화하여 설계와 시공에 쉽게 이용하게 하였다.