• 한국정보기술학회 영문논문지
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• 제10권1호
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• pp.71-83
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• 2020

In this paper, we propose a system that can detect the shape of a hand at high speed using an FPGA. The hand-shape detection system is designed using Verilog HDL, a hardware language that can process in parallel instead of sequentially running C++ because real-time processing is important. There are several methods for hand gesture recognition, but the image processing method is used. Since the human eye is sensitive to brightness, the YCbCr color model was selected among various color expression methods to obtain a result that is less affected by lighting. For the CbCr elements, only the components corresponding to the skin color are filtered out from the input image by utilizing the restriction conditions. In order to increase the speed of object recognition, a median filter that removes noise present in the input image is used, and this filter is designed to allow comparison of values and extraction of intermediate values at the same time to reduce the amount of computation. For parallel processing, it is designed to locate the centerline of the hand during scanning and sorting the stored data. The line with the highest count is selected as the center line of the hand, and the size of the hand is determined based on the count, and the hand and arm parts are separated. The designed hardware circuit satisfied the target operating frequency and the number of gates.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1993년도 Proceedings of International Conference for Agricultural Machinery and Process Engineering
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• pp.1230-1242
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• 1993

In a case of mushroom (Lentinus Edodes L.) , visual features are crucial for grading and the quantitative evaluation of the growth state. The extracted quantitative visual features can be used as a performance index for the drying process control or used for the automatic sorting and grading task. First, primary external features of the front and back sides of mushroom were analyzed. And computer vision based algorithm were developed for the extraction and measurement of those features. An automatic thresholding algorithm , which is the combined type of the window extension and maximum depth finding was developed. Freeman's chain coding was modified by gradually expanding the mask size from 3X3 to 9X9 to preserve the boundary connectivity. According to the side of mushroom determined from the automatic recognition algorithm size thickness, overall shape, and skin texture such as pattern, color (lightness) ,membrane state, and crack were quantified and measured. A portion of t e stalk was also identified and automatically removed , while reconstructing a new boundary using the Overhauser curve formulation . Algorithms applied and developed were coded using MS_C language Ver, 6.0, PC VISION Plus library functions, and VGA graphic function as a menu driven way.

• 생물환경조절학회지
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• 제1권1호
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• pp.37-51
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• 1992

Quantizing and extracting visual features of mushroom(Lentinus edodes L.) are crucial to the sorting and grading automation, the growth state measurement, and the dried performance indexing. A computer image processing system was utilized for the extraction and measurement of visual features of front and back sides of the mushroom. The image processing system is composed of the IBM PC compatible 386DK, ITEX PCVISION Plus frame grabber, B/W CCD camera, VGA color graphic monitor, and image output RGB monitor. In this paper, an automatic thresholding algorithm was developed to yield the segmented binary image representing skin states of the front and back sides. An eight directional Freeman's chain coding was modified to solve the edge disconnectivity by gradually expanding the mask size of 3$\times$3 to 9$\times$9. A real scaled geometric quantity of the object was directly extracted from the 8-directional chain element. The external shape of the mushroom was analyzed and converted to the quantitative feature patterns. Efficient algorithms for the extraction of the selected feature patterns and the recognition of the front and back side were developed. The developed algorithms were coded in a menu driven way using MS_C language Ver.6.0, PC VISION PLUS library fuctions, and VGA graphic functions.

• Journal of Biosystems Engineering
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• 제35권6호
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• pp.450-457
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• 2010

Although cherry tomato is one of major vegetables consumed in fresh vegetable market, the quality grading method is mostly dependant on size measurement using drum shape sorting machines. Using Visible/Near-infrared spectroscopy, apparatus to be able to acquire transmittance spectrum data was made and used to estimate firmness, sugar content, and acidity of cherry tomatoes grown at hydroponic and soil culture. Partial least square (PLS) models were performed to predict firmness, sugar content, and acidity for the acquired transmittance spectra. To enhance accuracy of the PLS models, several preprocessing methods were carried out, such as normalization, multiplicative scatter correction (MSC), standard normal variate (SNV), and derivatives, etc. The coefficient of determination ($R^2_p$) and standard error of prediction (SEP) for the prediction of firmness, sugar, and acidity of cherry tomatoes from green to red ripening stages were 0.859 and 1.899 kgf, with a preprocessing of normalization, 0.790 and $0.434^{\circ}Brix$ with a preprocessing of the 1st derivative of Savitzky Golay, and 0.518 and 0.229% with a preprocessing normalization, respectively.

• International Journal of Air-Conditioning and Refrigeration
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• 제16권1호
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• pp.1-8
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• 2008

Numerical optimization for design of a blade stacking line of a low speed axial flow fan with a fast and elitist Non-Dominated Sorting of Genetic Algorithm(NSGA-II) of multi-objective optimization using three-dimensional Navier-Stokes analysis is presented in this work. Reynolds-averaged Navier-Stokes(RANS) equations with ${\kappa}-{\varepsilon}$ turbulence model are discretized with finite volume approximations and solved on unstructured grids. Regression analysis is performed to get second order polynomial response which is used to generate Pareto optimal front with help of NSGA-II and local search strategy with weighted sum approach to refine the result obtained by NSGA-II to get better Pareto optimal front. Four geometric variables related to spanwise distributions of sweep and lean of blade stacking line are chosen as design variables to find higher performed fan blade. The performance is measured in terms of the objectives; total efficiency, total pressure and torque. Hence the motive of the optimization is to enhance total efficiency and total pressure and to reduce torque.

• International Journal of Computer Science & Network Security
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• 제22권10호
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• pp.271-281
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• 2022

Manual seed classification challenges can be overcome using a reliable and autonomous seed purity identification and classification technique. It is a highly practical and commercially important requirement of the agricultural industry. Researchers can create a new data mining method with improved accuracy using current machine learning and artificial intelligence approaches. Seed classification can help with quality making, seed quality controller, and impurity identification. Seeds have traditionally been classified based on characteristics such as colour, shape, and texture. Generally, this is done by experts by visually examining each model, which is a very time-consuming and tedious task. This approach is simple to automate, making seed sorting far more efficient than manually inspecting them. Computer vision technologies based on machine learning (ML), symmetry, and, more specifically, convolutional neural networks (CNNs) have been widely used in related fields, resulting in greater labour efficiency in many cases. To sort a sample of 3000 seeds, KNN, SVM, CNN and CNN-SVM hybrid classification algorithms were used. A model that uses advanced deep learning techniques to categorise some well-known seeds is included in the proposed hybrid system. In most cases, the CNN-SVM model outperformed the comparable SVM and CNN models, demonstrating the effectiveness of utilising CNN-SVM to evaluate data. The findings of this research revealed that CNN-SVM could be used to analyse data with promising results. Future study should look into more seed kinds to expand the use of CNN-SVMs in data processing.

• 한국기계가공학회지
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• 제21권9호
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• pp.1-11
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• 2022

Recently, there has been continuous technological development in the semiconductor industry, and semiconductor manufacturing technologies are being advanced and highly integrated. For this reason, ceramic material having excellent heat resistance, wear resistance, and conductivity are used as components in semiconductor manufacturing. Among them, the probe card's space transformer is used as ceramic material to prevent electronic signal noise during the electrical die sorting of semiconductor function testing. However, implementing a bulk-type space transformer with a thickness of 5.6 mm or more is challenging, and thus it is produced in a structure with a stacked ceramic film. The stacked space transformer has low productivity because it is difficult to ensure hole clogging and a precise shape. In this research, an ultrasonic horn is designed to manufacture a bulk-type ceramic space transformer through ultrasonic drilling. Vibration characteristics were analyzed according to the ultrasonic horn, and the natural frequency was measured.

• 한국지반공학회논문집
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• 제24권9호
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• pp.41-48
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• 2008

본 연구에서는 수축균열 단계를 나타낼 수 있는 도해적인 방법을 제안하였다. 우선 발생된 균열들을 균열폭의 크기 순서대로 나열하여 균열 분포를 구하였다. 다음에 균열폭을 정규화하여 0에서 1사이의 값으로 나타내었다. 마지막으로 Brooks와 Corey(1964), Fredlund와 Xing(1994), van Genuchten(1980)이 제안한바 있는 S형 곡선모델에 실험 결과를 적용시켰다. 분석 결과 van Genuchten의 식이 Brooks와 Corey식보다 정확도가 크게 높은 것으로 나타났으며, Fredlund와 Xing식보다도 높게 나타나 van Genuchten의 식을 적용하였다. 결과적으로 수축균열의 단계는 정규화 된 균열폭 분포가 3개의 직선부로 나누이는 도해적인 방법으로 나타낼 수 있었다. 제안된 방법의 적용성을 보기 위해 시료의 두께에 변화를 주며 시험을 실시하였다. 측정된 데이터를 제안된 모델에 적용하여 본 결과 높은 상관성을 보여 주었다. 따라서 수축 균열은 초기수축단계, 이차수축단계 그리고 잔류수축단계의 3단계로 모사할 수 있었다. 또한 각 단계에서의 균열 폭의 범위를 제시하였다.

• 한국지구과학회지
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• 제37권4호
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• pp.218-229
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• 2016

층면구조 안정성 다이어그램은 층면구조가 주어진 입도와 유속에서 나타나는 층면구조의 모양과 크기를 지시한다. 이 다이어그램은 대부분 수조실험에 의해 획득한 실험 데이터를 기반으로 작성되었다. 일반적으로, 수조실험은 입자의 크기와 유속사이의 관계를 이해하기 위해 분급이 좋고 단일입도의 분포를 보이는 퇴적물을 이용하여 수행되었다. 이 다이어그램에 의하면, 세립사와 중립사 퇴적물 표면에서 유속이 빨라지면서, 평행층 에서 연흔이 형성되기 시작한다. 이 연구의 목적은 층면구조 안정성 다이어그램의 결과가 실험을 통하여 잘 재현되는지를 확인하고, 분급이 좋은 퇴적물과 달리 분급이 불량한 경우인 이정 입도 분포를 보이는 사질 퇴적물에서도 잘 재현되는지 확인하는 것이다. 본 연구 실험 결과는 2D 연흔이나 3D 연흔 층면구조가 형성되기 위해서, 분급이 불량한 퇴적물의 경우에, 분급이 좋은 퇴적물보다 더 높은 유체의 유속과 전단응력이 필요하다는 것을 보여주고 있다. 탄산염 퇴적물은 수력학적 분급작용이 활발하지 않으며, 퇴적물의 구성이 알로켐과 기질로 이루어지는 이정 입도 분포를 보이는 퇴적물로서 일반적으로 분급이 불량한 특징을 가지고 있다. 따라서, 실험의 결과는 탄산염 퇴적물에서 층면구조 형성을 위해 쇄설성 퇴적환경의 퇴적물 보다 더 높은 유속이 필요할 수 있음을 제안하고 있다. 분급이 불량한 퇴적물 입자가 침식되어 이동기 위해 더 높은 에너지와 유속이 필요하다는 것은 분급 효과, 마찰 효과, 안정성 효과, 갑옷 효과 등이 복합적으로 작용한 결과로 설명될 수 있을 것이다. 본 연구는 예비적 고찰로서, 이어지는 연구를 통해 이러한 현상을 과학적으로 설명하고 입도와 층면구조 형성의 상관성을 보다 정교하게 규명하고자 한다.

• 복식
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• 제65권6호
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• pp.1-14
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• 2015

This study is aims to study the background of how the shape of the wooden shoes developed and worn by Koreans and Japanese in the ancient times by sorting and examining the types and shapes. Relevant bibliography, which are mainly related to the excavated wooden shoes from 3 B.C.E to C.E. 8., were used as research materials. The formation of wooden shoes required easy access to raw materials -which is trees- for production. According to the analysis, both Korea and Japan made the flat wooden shoes using cuboid wood. Both countries bore a hole on a specific location to distinguish the right foot and left foot, however the style of the heel was different in the two countries. The slip-on(Undu-hyeong) wooden shoes were also common in both countries. The slip-on had no-heels and was made by digging-out a piece of the cuboid wood. Some slip-ons made by the Japanese had furrows on the bottom, and they were known to make different types of the slip-on wooden shoes depending on the purpose. Observation of the wearing methods show that commonality can be found between the wooden shoes of Korea and Japan, and this indicates that cultural exchanges between the Silla/Baekje and Japan took place from the 4th to the 6th century. Also, the flat wooden shoes in Japan developed rapidly, as the shoes became an integral part of its life and culture, which was closely tied to agriculture. Eventually, due to the difference in climate and life-style, the slip-ons became the primary type of wooden shoes in Korea, while the flats became the main type of wooden shoes in Japan. It is, however, clear that as the relationship between the two countries became closer, the cultural exchanges regarding the wooden shoes were considerable.