• 대한수학교육학회지:수학교육학연구
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• 제9권1호
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• pp.121-132
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• 1999

We have compared Korean and American mathematics curriculums in 5 areas: whole number(concepts and its operations); geometry; pattern and relations; measurements; statistics and probability. We have found significant differences in geometry area. Korean curriculums contain simple planar figures (circles, triangles, rectangles, and squres) and some of the spatial figures until 3rd grades. But in America they learn various planar and spatial fugures(cone, pyramid, triangular prism, etc) since the 1st grade starts. They also start the 1st grade by dealing with topological concepts like open/closed, inside/outside, order, etc. As the grade goes on, students learn other geometrical concepts like congruence, symmetry, 3-dimensional views. We also found that American curriculum focuses on students' activities and courages communication through projects, groupwork, journal writing, etc. It's also superior in respects of motivation, and connections with real life and other subjects. Korean curriculum needs more improvements in these aspects. Furthermore for lower graders reviewing sections need to be enhanced for feedback.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 추계학술대회 논문집 학회본부
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• pp.294-296
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• 1996

The process of detecting edge in an image is an important component of many Pattern Recognition and Computer Vision applications. In many practical cases, there exist blurred images due to defocussing, movement of an object and so on. In addition, local perturbation noise can be added to the images. We propose the edge detection technique in blurred and noisy image. For this, we use Fuzzy pyramid linking mothod to remove noise and enhance the edge in images. We develop contrast intensifier using the concept of Fuzzy sets as a postprocessing.

• 한국응용곤충학회지
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• 제41권2호
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• pp.107-112
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• 2002

수은유아등과 성페로몬트랩을 이용하여 2000년과 2001년에 남부지방의 단감원에서 복숭아명나방의 발생양상을 조사하고 수확시기의 과실에 대한 피해정도를 1999년부터 2001년까지 조사하였다. 복숭아명나방은 년 3회의 발생피크를 나타내었는데, 제1화기는 6월 중하순, 2화기는 8월 중하순, 3화기는 9월 하순이 발생최성기이었다. 집중방제 과원에서는 방제소흘 과원보다 복숭아명나방이 적게 발생하였다. 조사대상 과수원에서 수확시기의 과실에는 복숭아명나방 유충에 의한 피해과를 발견할 수 없었다. 따라서 이들 두 검역해충이 수출용 단감에 존재할 가능성은 아주 낮다고 할 수 있다. 한편 단감원 주변의 식생과 수확기 과실의 피해율(0%)로 볼 때, 유아등이나 성페로몬트랩에 유인된 복숭아명나방은 주변의 밤나무로부터 이끌려온 것일 가능성이 크다.

• 한국인구학
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• 제6권1호
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• pp.3-42
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• 1983

The purposes of this paper is to introduce a technique for construction of nuptiality tables using proportion single of synthetic cohorts between times at two consecutive censuses, and to observe patterns of change in marriage habit of Korean through the nuptiality tables for single population from 1925 to 1980. In this paper abridged gross and net nuptiality tables for single population of Korea have been constructed for the four quinquinial period: 1925-1930, 1955-1960, 1970-1975, and 1975-1980. Significant time trend has been observed in the nuptiality rates among the single population. The major findings observed in each table are as follows; (1)During 1925-1930, the rates are initially small, but increase rapidly until they reach a maximum at ages 25-29 for bachelors and 20-24 for spinsters, following which they are still in high level. (2)During 1955-1960, the age pattern of nuptiality begins to change; for female population, the rates increase rapidly in the same pattern as in l925-l930 untill they reach the highest level at ages 25-29, after which they gradually decline. During the period, however, there were an unprecedented high level of marriage rates for male population at a relatively later ages. (3)During 1970-1975, Korea had experienced a transition in marriage habits; at this times, nuptiality rates for both sexes showed the same pyramid shaped patterns as in western countries as age increases. The mean ages at marriage for both sexes also reached the highest level of 27.5 years for males and 24.1 years for females. (4)During 1975-1980, the age patterns of nuptiality showed almost the same patterns as in 1970-1975. In the later age group, however, age-specific marriage rates for both sexes greatly declined compared to the level of 1970-1975, while the rate in age group of 20-24 for male population greatly increased.

• 한국재료학회지
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• 제9권3호
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• pp.257-262
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• 1999

MOCVD를 이용하여 $SiO_2$로 패턴된 GaN/sapphire 기판상에서 $NH_3$유량과 성장온도가 GaN 성장의 선택성과 성장 특성에 미치는 영향을 조사하였다. $NH_3$유량을 500~1300sccm, 성장온도를 $950~1060^{\circ}C$로 변화시켜 성장변수에 따른 영향을 주사전자현미경으로 관찰하였다.$NH_3$유량이 증가할수록 성장선택성이 향상되었으나 기판윈도우에서 성장되는 GaN 형상변화에는 큰 영향을 미치지 못하였다. 성장온도가 높을수록 GaN의 성장선택성이 향상됨이 관찰되었다. 패턴 모양을 원형, 선형, 방사선모양(선형 패턴을 30, $45^{\circ}$로 회전)으로 제작하여 GaN 성장을 수행한 후 관찰한 결과 {1101}으로 이루어진 Hexagonal 피라밋 형상과 마스크층 위로의 측면성장을 얻을 수 있었으며, 성장조건에 따른 <1100>와 <1210>의 방향으로의 측면성장속도의 차이를 관찰할 수 있었다.

• 한국공작기계학회논문집
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• 제16권6호
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• pp.193-200
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• 2007

Micro forming is a suited technology to manufacture very small metallic parts(several $mm{\sim}{\mu}m$). Al5083 superplastic alloy with very small grains has a great advantage in achieving micro deformation under low stress due to its relatively low strength at a specific high temperature range. Micro forming of $Zr_{62}Cu_{17}Ni_{13}Al_8$ bulk Metallic glass(BMG) as a candidate material for this developing process are feasible at a relatively low stress in the supercooled liquid state without any crystallization during hot deformation. In this study, the micro formability of Al5083 superplastic alloy and bulk metallic glass, $Zr_{62}Cu_{17}Ni_{13}Al_8$, was investigated with the specially designed micro vibration forming system using pyramid-shape, V-shape and U-shape micro die pattern. With these dies, micro vibration forming was conducted by varying the applied load, time. Micro formability was estimated by comparing the hight of formed shape using non-contact surface profiler system. The vibration load effect to metal flow in the micro die and improve the micro formability of Al5083 superplastic alloy and $Zr_{62}Cu_{17}Ni_{13}Al_8$ bulk Metallic glass(BMG).

• 한국조사연구학회지:조사연구
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• 제12권2호
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• pp.1-26
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• 2011

초고령(80세 이상) 사망률에 대한 양적, 질적 자료의 결여는 한국의 초고령 사망률에 대한 체계적인 연구의 최대 걸림돌이 되어 왔다. 그러나 세계가 경험해 보지 못한 한국의 급속한 고령화는 미래의 인구구조의 근본적인 변화를 초래하게 되어 초고령 사망률의 수준, 패턴, 그리고 추이분석은 더 이상 미룰 수 없는 과제가 되었다. 사망률 추이는 80세 이상(80+) 또는 85세 이상(85+)로 절단된 형태의 과거 사망률 자료를 115세까지의 각 세별 사망률로 확장하여 분석될 수 있다. 이러한 확장은 한국형 표준사망률의 작성이 우선되어야 가능하며 이 표준사망률을 통해 한국의 초고령 사망률의 수준과 패턴의 파악이 가능해진다. 한국형 표준 사망률의 작성은 하나의 관계모형과 11개의 함수로부터 도출되며, 성별로 최적의 모형은 적합도를 측정하는 세 가지의 통계량과 사망률의 세 가지 일치성을 기준으로 선택되었다. 본 논문에서는 작성된 표준사망률을 이용하여 과거의 절단된 사망률을 확장하였고 이 확장 과정에서 필연적으로 발생하는 종단면적인 사망률의 일치성을 해결하는 방안을 제시하였다.

• Design & Manufacturing
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• 제13권4호
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• pp.40-44
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• 2019

The light diffusion component spreads the light from one point evenly over a large area. Various types of light diffusion parts such as films and lenses are applied in the high-tech industries such as LCD display devices, lighting devices, and solar energy generation. Among these, a diffuser sheet (Diffuser Sheet) has a function to uniformly distribute the light, and various studies have been conducted to improve its function. The shape of the conventional light diffusion pattern is mainly made of a dot or hemispherical shape. In this study, a rectangular cone-shaped structure having a light diffusion function and an advantage of controlling the angle of refraction of light was fabricated by using a solenoid indentation process. The change in shape of the indentation structure was analyzed.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.313-322
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• 2020

The recognition of the risk hazards is a vital step to effectively prevent accidents on a construction site. The advanced development in computer vision systems and the availability of the large visual database related to construction site made it possible to take quick action in the event of human error and disaster situations that may occur during management supervision. Therefore, it is necessary to analyze the risk factors that need to be managed at the construction site and review appropriate and effective technical methods for each risk factor. This research focuses on analyzing Occupational Safety and Health Agency (OSHA) related to risk zone identification rules that can be adopted by the image recognition technology and classify their risk factors depending on the effective technical method. Therefore, this research developed a pattern-oriented classification of OSHA rules that can employ a large scale of safety hazard recognition. This research uses joint reasoning of risk zone Identification and numeric input by utilizing a stereo camera integrated with an image detection algorithm such as (YOLOv3) and Pyramid Stereo Matching Network (PSMNet). The research result identifies risk zones and raises alarm if a target object enters this zone. It also determines numerical information of a target, which recognizes the length, spacing, and angle of the target. Applying image detection joint logic algorithms might leverage the speed and accuracy of hazard detection due to merging more than one factor to prevent accidents in the job site.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권2호
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• pp.311-326
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• 2024

The rapid development of neural network technology promotes the neural network model driven by big data to overcome the texture effect of complex objects. Due to the limitations in complex scenes, it is necessary to establish custom template matching and apply it to the research of many fields of computational vision technology. The dependence on high-quality small label sample database data is not very strong, and the machine learning system of deep feature connection to complete the task of texture effect inference and speculation is relatively poor. The style transfer algorithm based on neural network collects and preserves the data of patterns, extracts and modernizes their features. Through the algorithm model, it is easier to present the texture color of patterns and display them digitally. In this paper, according to the texture effect reasoning of custom template matching, the 3D visualization of the target is transformed into a 3D model. The high similarity between the scene to be inferred and the user-defined template is calculated by the user-defined template of the multi-dimensional external feature label. The convolutional neural network is adopted to optimize the external area of the object to improve the sampling quality and computational performance of the sample pyramid structure. The results indicate that the proposed algorithm can accurately capture the significant target, achieve more ablation noise, and improve the visualization results. The proposed deep convolutional neural network optimization algorithm has good rapidity, data accuracy and robustness. The proposed algorithm can adapt to the calculation of more task scenes, display the redundant vision-related information of image conversion, enhance the powerful computing power, and further improve the computational efficiency and accuracy of convolutional networks, which has a high research significance for the study of image information conversion.