• Title/Summary/Keyword: SUSAN method

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A Study on the Electrical Characteristics of Different Wire Materials

  • Jeong, Chi-Hyeon;Ahn, Billy;Ray, Coronado;Kai, Liu;Hlaing, Ma Phoo Pwint;Park, Susan;Kim, Gwang
    • Journal of the Microelectronics and Packaging Society
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    • v.20 no.4
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    • pp.47-52
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    • 2013
  • Gold wire has long been used as a proven method of connecting a silicon die to a substrate in wide variety of package types, delivering high yield and productivity. However, with the high price of gold, the semiconductor packaging industry has been implementing an alternate wire material. These materials may include silver (Ag) or copper (Cu) alloys as an alternative to save material cost and maintain electrical performance. This paper will analyze and compare the electrical characteristics of several wire types. For the study, typical 0.6 mil, 0.8 mil and 1.0 mil diameter wires were selected from various alloy types (2N gold, Palladium (Pd) coated/doped copper, 88% and 96% silver) as well as respective pure metallic wires for comparison. Each wire model was validated by comparing it to electromagnetic simulation results and measurement data. Measurements from the implemented test boards were done using a vector network analyzer (VNA) and probe station setup. The test board layout consisted of three parts: 1. Analysis of the diameter, length and material characteristic of each wire; 2. Comparison between a microstrip line and the wire to microstrip line transition; and 3. Analysis of the wire's cross-talk. These areas will be discussed in detail along with all the extracted results from each type the wire.

A Basic Study Contributes to Extract the Standardized 3D Body Data for Women Aged 60 and Older (노년 여성 체형의 표준화된 3차원 측정 데이터 추출을 위한 기초 연구)

  • ;;Susan p. Ashdown
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.2
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    • pp.344-353
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    • 2004
  • The purpose of this study was to offer the basis contributes to extract the standardized body data from 3D body measuring for women aged 60 and older. The WB4 of Cyberware was used, and the measuring program of 3D scanning data was 3DM. This study was focused to verify the reliability of 3D data and to offer the effective utilization of 3D measuring on the research for elderly women■s body. Subjects were 19 women aged 60 and older. And three women in late twenties and three dressforms for women were comparing subjects to analyze the signiscant difference by age or human body variable making error. First, 3D scanning was executed twice on each subject, but any significant difference was not appear between two scanning data. So we certifed we could get the consistent and reliable data from the 3D scanner used in this study. Second, the reliability of 3D measuring data was analyzed, and the error range which meant the difference between 3D data and traditional measuring data was analyzed. In elderly women, the significant difference between two data was appeared in 19 body parts. The 7 of 19 were concerned with armpit point. In young women, three significant difference were appeared, and in dressforms, any significant difference was not certified. From these results, we could certify that age or human body variable produced the difference between two data. Third, the data of elderly women from three measuring methods, 3D measuring, traditional measuring, and measuring on 2D photographs were compared. From the result, we found that the 3D measuring data was quite reliable for most body parts excluding some width parts. But in elderly women, there were some limitation to extract reliable data because of their unique body characteristics. In order to be a role of the effective measuring method, the 3D measuring protocol reflected the body characteristics of each age or gender had to be prepared.

Photography's educational study : Against practical-based curriculum in photography education (사진의 교육적 연구 : 실기 중심 교육과정에 반하여)

  • Nam, Tack-Oon
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.359-367
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    • 2016
  • This paper aims to develop the photography education method based, not on the practical technique, the photo recording or the communication, but on the photo theory and the visual culture. This paper can be summarized as follows: First, it analyses the photo theory itself and photography education theory. It examines the studies of the important scholars of photography theory, namely Laszlo Moholy-Nagy, Walter Benjamin, Susan Sontag. It examines also the studies of the scholars who applied photography to education, that is, Victor Burgin, Simon Watney, David Bate. This paper examines how photography is related to education theory in general and where photo education can be situated in art education field.

A Study on Dispersion Copolymerization of Styrene/n-Butylmethacrylate and Alumina (스티렌/노말 부틸 메타크릴레이트와 알루미나의 분산 공중합에 관한 연구)

  • Bang, Hyun-Su;Cho, Ur-Ryong
    • Polymer(Korea)
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    • v.32 no.6
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    • pp.549-554
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    • 2008
  • In order to synthesize polymer particle containing inorganic material, styrene and n-butylmethacrylate were copolymerized with alumina by dispersion polymerization. The weight ratio of styrene to n-butylmethacrylate was 3 : 1. A poly(N-vinyl pyrrolidon) was added as stabilizer. 2,2'-AzobisCisobutyronitrile) and 3-methacryloxypropyl trimethoxysilane were used as initiator and coupling agent, respectively. The weight ratio of 70 : 30 of isopropanol to distilled water was used as dispersion medium. According to the TEM measurement, we could confirm that alumina was dispersed into the polymer particle. The increase 'of concentration of alumina resulted in enhancement of particle size, but decreased its distribution. By the XRD method, it was found that the increase of alumina concentration showed the increase of intensity in peak and the increased 2$\theta$ value. From the TGA measurement, the increase of alumina concentration caused high heat resistance of the polymer. With respect to the type of initiator, the longer half life of initiator, the smaller particle size. We also found that the increase of particle stabilizer concentration made the decreased of particle size due to the accelerated generation of polymer particle in the early stage of reaction.

Aesthetics of Samjae and Inequilateral Triangle Found in Ancient Triad of Buddha Carved on Rock - Centering on Formative Characteristics of Triad of Buddha Carved on Rock in Seosan - (고대(古代) 마애삼존불(磨崖三尊佛)에서 찾는 삼재(三才)와 부등변삼각(不等邊三角)의 미학(美學) - 서산마애삼존불의 형식미를 중심으로 -)

  • Rho, Jae-Hyun;Lee, Kyu-Wan;Jang, Il-Young;Goh, Yeo-Bin
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.28 no.3
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    • pp.72-84
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    • 2010
  • This study was attempted in order to offer basic data for implementing and applying Samjonseokjo(三尊石造), which is one of traditional stone construction method, by confirming how the constructive principle is expressed such as proportional beauty, which is contained in the modeling of Triad of Buddha Carved on Rock that was formed in the period of the Three States, centering on Triad of Buddha Carved on Rock in Susan. The summarized findings are as follows. 1. As a result of analyzing size and proportion of totally 17 of Triad of Buddha Carved on Rock, the average total height in Bonjonbul(本尊佛) was 2.96m. Right Hyeopsi(右挾侍) was 2.19m. Left Hyeopsi(左挾侍) was 2.16m. The height ratio according to this was 100:75:75, thereby having shown the relationship of left-right symmetrical balance. The area ratio in left-right Hyeopsi was 13.4:13.7, thereby the two area having been evenly matched. 2. The Triad of Buddha Carved on Rock in Seosan is carved on Inam(印岩) rock after crossing over Sambulgyo bridge of the Yonghyeon valley. Left direction was measured with $S47^{\circ}E$ in an angle of direction. This is judged to target an image change and an aesthetic sense in a Buddhist statue according to direction of sunlight while blocking worshipers' dazzling. 3. As for iconic characteristics of Buddha Carved on Rock in Seosan, there is even Hyeopsi in Bangasang(半跏像) and Bongjiboju(捧持寶珠) type Bosangipsang. In the face of Samjon composition in left-right asymmetry, the unification is indicated while the same line and shape are repeated. Thus, the stably visual balance is being shown. 4. In case of Triad of Buddha Carved on Rock in Seosan, total height in Bonjonbul, left Hyeopsi, and right Hyeopsi was 2.80m, 1.66m, and 1.70m, respectively. Height ratio in left-right Hyeopsibul was 0.60:0.62, thereby having been almost equal. On the other hand, the area ratio was 28.8:25.2, thereby having shown bigger difference. The area ratio on a plane was grasped to come closer to Samjae aesthetic proportion. 5. The axial angle of centering on Gwangbae was 84:46:50, thereby having been close to right angle. On the other hand, the axial angle ratio of centering on Yeonhwajwa(蓮華坐: lotus position) was measured to be 135:25:20, thereby having shown the form of inequilateral triangle close to obtuse angle. Accordingly, the upper part and the lower part of Triad of Buddha Carved on Rock in Susan are taking the stably proportional sense in the middle of maintaining the corresponding relationship through angular proportion of inequilateral triangle in right angle and obtuse angle. 6. The distance ratio in the upper half was 0.51:0.36:0.38. On the other hand, the distance ratio in the lower half was 0.53 : 0.33 : 0.27. Thus, the up-down and left-right symmetrical balance is being formed while showing the image closer to inequilateral triangle. 7. As a result of examining relationship of Samjae-mi(三才美) targeting Triad of Buddha Carved on Rock in Susan, the angular ratio was shown to be more notable that forms the area ratio or triangular form rather than length ratio. The inequilateral triangle, which is formed centering on Gwangbae(光背) in the upper part and Yeonhwajwa(lotus position) in the lower part, is becoming very importantly internal motive of doubling the constructive beauty among Samjae, no less than the mutually height and area ratio in Samjonbul.

Comparison of Artificial Neural Network and Empirical Models to Determine Daily Reference Evapotranspiration (기준 일증발산량 산정을 위한 인공신경망 모델과 경험모델의 적용 및 비교)

  • Choi, Yonghun;Kim, Minyoung;O'Shaughnessy, Susan;Jeon, Jonggil;Kim, Youngjin;Song, Weon Jung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.6
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    • pp.43-54
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    • 2018
  • The accurate estimation of reference crop evapotranspiration ($ET_o$) is essential in irrigation water management to assess the time-dependent status of crop water use and irrigation scheduling. The importance of $ET_o$ has resulted in many direct and indirect methods to approximate its value and include pan evaporation, meteorological-based estimations, lysimetry, soil moisture depletion, and soil water balance equations. Artificial neural networks (ANNs) have been intensively implemented for process-based hydrologic modeling due to their superior performance using nonlinear modeling, pattern recognition, and classification. This study adapted two well-known ANN algorithms, Backpropagation neural network (BPNN) and Generalized regression neural network (GRNN), to evaluate their capability to accurately predict $ET_o$ using daily meteorological data. All data were obtained from two automated weather stations (Chupungryeong and Jangsu) located in the Yeongdong-gun (2002-2017) and Jangsu-gun (1988-2017), respectively. Daily $ET_o$ was calculated using the Penman-Monteith equation as the benchmark method. These calculated values of $ET_o$ and corresponding meteorological data were separated into training, validation and test datasets. The performance of each ANN algorithm was evaluated against $ET_o$ calculated from the benchmark method and multiple linear regression (MLR) model. The overall results showed that the BPNN algorithm performed best followed by the MLR and GRNN in a statistical sense and this could contribute to provide valuable information to farmers, water managers and policy makers for effective agricultural water governance.

The Qualitative Study for User Needs and Acceptance of Smart Clothing: Focused on Women Aged 56 and Over (스마트 의류의 인식과 수용에 관한 질적 연구 : 56세 이상 여성을 대상으로)

  • Paek, Kyung-Ja;Cross, Meghan;Ashdown, Susan
    • Journal of the Korean Home Economics Association
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    • v.47 no.3
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    • pp.55-65
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    • 2009
  • By definition, smart clothing describes a garment whose functionality is enhanced by technological advancements in order to ease one’'s lifestyle. To know user’'s understanding and needs, the research had consisted of brainstorming sessions, personal interviews, focus group meeting, and a series of content analyses. Ten of the interview subjects and focus group panel were found by contacting women aged 56-64 in the Ithaca community, NY. They were prompted with general questions on style choices for their lifestyles and age group and then presented with two examples of smart clothing to discuss and critique. Meanwhile, the other three interview subjects, located outside of the Ithaca community, were aged either above or below the targeted bracket. These subjects were interviewed as a method of comparison on multiple levels. Findings had shown that there was indeed a need for smart clothing amongst the increasingly populated demographic of older women: devices to help one’'s body temperature regulation and vision problem, and well-designed clothing. However, the functionalities must be carefully constructed and conveyed in order to be taken seriously by the mainstream consumer market. Once successfully designed, the smart clothing will ideally create a greater sense of autonomy for older women.

Integrated Interpretation of ERT Data from the Mineralized Zone in Geumpung Mine (금풍광산 광화대에 대한 전기비저항 토모그래피탐사 자료의 복합해석)

  • Jung, Yeon-Ho;Byun, Joong-Moo
    • Geophysics and Geophysical Exploration
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    • v.10 no.4
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    • pp.322-331
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    • 2007
  • In this study, electrical resistivity tomography (ERT) were conducted to find the mineralized zone at the Geumpung mine in Dojeon-ri, Susan-myeon, Jecheon-si, Chungcheongbuk-do. The deviation of the inclined borehole was measured to obtain the exact positions of the electrodes for correcting apparent resistivity values from ERT. Geophysical loggings such as resistivity and natural gamma were conducted to obtain the properties of the material near the borehole. Measurements of the physical properties of the cores, such as porosity, water content, density, susceptibility, resistivity were performed to analyze the correlation between physical properties and resistivity. Grade analysis for core sample was also conducted to identify relationship between grade and resistivity. Rock property analysis shows that the resistivity is more dominated by susceptibility and grade than by porosity and water content in the mineralized zone. The results of ERT are well consistent with geophysical logging data and geologic column. So ERT is powerful method to identify conductive mineralized zone.

Estimation of Reference Crop Evapotranspiration Using Backpropagation Neural Network Model (역전파 신경망 모델을 이용한 기준 작물 증발산량 산정)

  • Kim, Minyoung;Choi, Yonghun;O'Shaughnessy, Susan;Colaizzi, Paul;Kim, Youngjin;Jeon, Jonggil;Lee, Sangbong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.6
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    • pp.111-121
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    • 2019
  • Evapotranspiration (ET) of vegetation is one of the major components of the hydrologic cycle, and its accurate estimation is important for hydrologic water balance, irrigation management, crop yield simulation, and water resources planning and management. For agricultural crops, ET is often calculated in terms of a short or tall crop reference, such as well-watered, clipped grass (reference crop evapotranspiration, $ET_o$). The Penman-Monteith equation recommended by FAO (FAO 56-PM) has been accepted by researchers and practitioners, as the sole $ET_o$ method. However, its accuracy is contingent on high quality measurements of four meteorological variables, and its use has been limited by incomplete and/or inaccurate input data. Therefore, this study evaluated the applicability of Backpropagation Neural Network (BPNN) model for estimating $ET_o$ from less meteorological data than required by the FAO 56-PM. A total of six meteorological inputs, minimum temperature, average temperature, maximum temperature, relative humidity, wind speed and solar radiation, were divided into a series of input groups (a combination of one, two, three, four, five and six variables) and each combination of different meteorological dataset was evaluated for its level of accuracy in estimating $ET_o$. The overall findings of this study indicated that $ET_o$ could be reasonably estimated using less than all six meteorological data using BPNN. In addition, it was shown that the proper choice of neural network architecture could not only minimize the computational error, but also maximize the relationship between dependent and independent variables. The findings of this study would be of use in instances where data availability and/or accuracy are limited.