• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2004.11a
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• pp.556-560
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• 2004

The recent increase of the construction business. reflects tile rapid increase of the amounts of construction wastes caused by new buildings and demolitions. This trend brings about a problem of insufficient aggregate in the construction arena because construction wastes from new buildings are usually reclaimed in the land and it causes environmental pollution and a restriction of exploiting a natural aggregate, brought up by environmental organizations as well. Accordingly, researchers suggest recycled aggregate as a countermeasure of the two problems, however, it's not actually been used in the construction fields. By this study, it'll be feasible to expect to solve the problem of insufficient aggregate and to reduce environmental pollution from waste-reclamation.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2580-2582
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• 2004

In this paper, a Neural Network(NN) based approach for classification of two dimensions images. The proposed algorithm is able to apply in the actual industry. The described diagnostic algorithm is presented to defect surface failures on tiles. A way to get data for a digital image process is several kinds of it. The tiles are scanned and the digital images are preprocessed and classified using neural networks. It is important to reduce the amount of input data with problem specific preprocessing. The auto-associative neural network is used for feature generation and selection while the probabilistic neural network is used for classification. The proposed algorithm is evaluated experimentally using one hundred of the real tile images. Sample image data to preprocess have histogram. The histogram is used as input value of probabilistic neural network. Auto-associative neural network compress input data and compressed data is classified using probabilistic neural network. Classified sample images are determined by human state. So it is intervened human subjectivity. But digital image processing and neural network are better than human classification ability. Therefore it is very useful of quality control improvement.

• Proceedings of the IEEK Conference
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• 2002.06b
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• pp.293-296
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• 2002

This paper proposes new driving methods for designing a driver independent of the current property of organic light emitting diodes (OLED) displays. The proposed methods are the Look-Up Table (LUT) and the Pulse Width Modulation (PWM). The LUT is used to handle the amount of the current for driving the OLED display panel and the PWM is applied to represent the gray scale on the OLED display panel. Segment and common drivers were implemented using delay circuits to prevent short-circuit current and a DC-DC converter was designed to supply the drivers with a power source. In particular, tile proposed methods are used for the manufacturing of 1.8" 128$\times$128 dot passive matrix OLED display panel. The designed circuit was fabricated using 0.6w, 2-poly, 3-metal, CMOS process and applied to the Personal Communication System (PCS) phone successfully.ully.

• ETRI Journal
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• v.34 no.4
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• pp.542-552
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• 2012

In this paper, a gaze estimation method is proposed for use with a large-sized display at a distance. Our research has the following four novelties: this is the first study on gaze-tracking for large-sized displays and large Z (viewing) distances; our gaze-tracking accuracy is not affected by head movements since the proposed method tracks the head by using a near infrared camera and an infrared light-emitting diode; the threshold for local binarization of the pupil area is adaptively determined by using a p-tile method based on circular edge detection irrespective of the eyelid or eyelash shadows; and accurate gaze position is calculated by using two support vector regressions without complicated calibrations for the camera, display, and user's eyes, in which the gaze positions and head movements are used as feature values. The root mean square error of gaze detection is calculated as $0.79^{\circ}$ for a 30-inch screen.

• Proceedings of the IEEK Conference
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• 1999.06a
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• pp.492-495
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• 1999

In this paper, a research is focused on implementation of the handwritten Korean-character recognition system using a neural coprocessor for PDA application. The proposed coprocessor is composed of a digital neural network called DMNN and a RISC-based dedicated controller in order to achieve high speed as well as compactness. Two neural networks are used for recognition, one for stroke classification out of extended 11 strokes and the other for grapheme classification. Our experimental result shows that the successful recognition rate of 92.1% over 3,000 characters written by 10 persons can be obtained. Moreover, it can be improved to 95.3% when four candidates are considered. The design verification of tile proposed neural coprocessor is conducted using the ASIC emulator for further hardware implementation.

• Journal of the Korean Institute of Rural Architecture
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• v.9 no.2
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• pp.57-66
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• 2007

The purpose of this study is to find out the characteristics of physical landscape planning and design elements in buildings on the street. This study has been conducted on the 86 buildings in Yeon-dong, Jeju city. The results of this study are as follows : In the primary design factors, the general type accounts for the highest percentage of 83.7% for the horizontal shape and also the highest of 46.4% for the vertical. For the roof, the flat roof accounts for the highest of 51.1%. In the secondary design factors, the general type's share is 43.1% for the faced type and the repetition pattern's is the highest of 50% for the faced pattern. For the outer wall material in the tertiary design factors, dryvit system accounts for 34.9%, tile 31.4%, while the cases using natural materials which reflect the regional characteristics such as woods, rocks and so on have 22%. For the roof material, the financial-friendly asphalt shingle which accounts for 76.2% has turned out to be most preferred.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.399-399
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• 2000

In this paper, path generation using the sensor platform is proposed. The sensor platform is composed two electric motors which make panning and tilting motions. An algorithm fur a real path form and an obstacle length is realized using a scanning algorithm to rotating the sensors on the sensor platform. An ARV (Autonomous Robot Vehicle) is able to recognize the given path by adapting this algorithm. In order for the ARV to navigate the path flexibly, a kinematic model needed to be constructed. The kinematic model of the ARV was reformed around its body center through a relative velocity relationship to controllability, which derives from the nonholonomic characteristics. The optimal controller that is based on tile kinematic model is operated purposefully to track a reference vehicle's path. The path generation algorithm is composed of two parks. On e part is the generating path pattern, and the other is used to avoid an obstacle. The optimal controller is used for tracking the reference path which is generated by recognizing the path pattern. Results of simulation show that this algorithm for an ARV is sufficient for path generation by small number of sensors and for low cost controller.

• Proceedings of the KAIS Fall Conference
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• 2009.05a
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• pp.878-881
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• 2009

본 연구는 건축자재로 널리 사용되는 PVC 바닥상재의 표면을 스크래치로부터 보호하기 위하여 기존에 사용하는 광경화형 우레탄-아크릴 수지에 내마모성을 향상시킨 광경화형 하드 코팅액 개발에 관한 것이다. PVC 바닥상재용으로 사용되는 내마모성이 없는 우레탄-아크릴 수지에 $Al_2O_3$(Al-160SG-3), $Al_2(OH)_3$(SH-8W) 및 $SiO_2$(KS-5000) 등 서로 다른 내마모성을 지닌 물질을 분말 형태로 수지의 양대비 함량(wt%)을 10~30%로 변화하여 첨가한 후 링밀(Ring Mill)을 사용, 배합하여 수지의 내마모성을 향상시킨 하드 코팅액을 제조하였다. 제조한 하드 코팅액은 코팅층의 두께조절이 가능한 코팅(Bar-coating)을 사용하여 PVC 바닥상재에 코팅 한 후 내마모성, 연필경도, 부착력, 코팅두께 등의 코팅층 표면물성을 평가하였다. 연구결과, 수지에 $Al_2O_3$ 분말 30%를 혼합하여 제조한 하드 코팅액이 내마모성 1등급, 연필경도 H, 부착력 100%로 가장 좋은 물성을 보였으며, 전반적으로 입자크기가 작고, 분말 함량이 많을수록 또한 코팅두께가 두꺼워 질수록 경도 및 내마모성이 우수한 것으로 나타났다.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.27 no.2
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• pp.125-131
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• 1991

Electrolyte matrix fabrication process can be classifed as hot pressing, tape casting, callendering, electrophoretic deposition. however, these have limits in practice. Hot pressing is cumbersome method, because of careful heating and cooling. Furthermore, the perfected tile is so fragile that it is difficult to fit in a cell. Therefore this method is not adequate for mass production of the electrolyte matrix. Using electrophoretic deposition method, a very thin matrix can be made, but many attempts of the electrolyte embeding were found to be failure. Tape casting and callendering methods are employed in most of the matrix fabrication for the present. But these methods require lots of water as a solvent, so that coating of the LiAlO sub(2) with electrolyte is difficult. Recently, hot roll milling method has been developed and the perfected matrix was proved to be free from crack. The method, however, needs a roller to make a matrix and a perfected matrix is carefully striped off from the cooled roller. Therefore, this method requires a long time due to the cooling process. The author proposes a cold rolling process. On this method, heated slurry of the LiAlO sub(2) mixed with binder, is rolled with a cold roller. The heated slurry dose not adhere to the roller, since contacted hot slurry is rapidly solidified. Therefore fabrication speed is increased, without getting rid of merits of the hot rolling process.

• Journal of Korea Foresty Energy
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• v.2 no.2
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• pp.1-12
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• 1982

To study tile comparison of aboveground biomass of Pinus rigida Mill. of 18-year-old, plantations located in Whaseong, Yuseong and Wanju district were selected. Ten sample trees in each district selected taking account of DBH distribution were felled carefully to minimize loss of branches and stem analysed by 1m lag segment sectioned from base . The tree height and DBH were measured for sample trees in total growing within $200m^2$ experimental plot. The diagram of oven-dry weight distribution of stem, branch and needle for each 1m segment was constructed. The logarithmic regression equations between dry weight of each component and the two variables, $DBH^2$ and tree height, combined term were presented. The standing crops in the sample stand was estimated to be as much as 23.88, 54.09 and 42.68 tons of dry matter, above ground , per ha in Whaseong, Yuseong anf Wanju district respectively. Annual net production was estimated at 253,657 and 3.65 tons per ha per year respectively. The net assimilation rate was 1.65,1.95 and 1.81 kg/kg/yr in Whaseong, Yuseong and Wanju district respectively. The efficency of leaf to produce stem was 0.99, 1.12 and 1.30 kg/kg/yr respectively.