• 제목/요약/키워드: object of evaluations

검색결과 57건 처리시간 0.036초

물방울무늬의 간격이 의복이미지에 미치는 영향 - 원피스드레스를 중심으로 - (The Influence of the Interval of Polka Dots on the Image of Clothes - Focused on One-Piece Dress -)

  • 최혜원;류숙희
    • 한국의류산업학회지
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    • 제9권3호
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    • pp.278-285
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    • 2007
  • The purpose of this study is the image of clothing according to the change of the dots' interval was analyzed and its influence on the formation of the image of polka dots clothing was investigated. White waterdrop patterns were designed on the 12 kinds of black texture using Photoshop and CAD program in regular arrangement of diamond figure, composed of white waterdrop(0.5 cm, 1.0 cm, 1.5 cm and 2 cm in diameter) and interval(diameter : interval - 1 : 1, 1 : 2, 1 : 4). Applying above specification, the photograph stimulus of 12 kinds of X-line one-piece dress with wide square neckline and without sleeve or detailed ornament was presented on a screen in the same size as when putting it on. The image of polka dots clothes was investigated by questionnaire survey. The object of the study was 320 females aged between 16 and 29. Factor analysis, one-way ANOVA, Scheff$\acute{e}$ verication and two-way ANOVA using SPSS 10.0 were carried out for data analysis. The research finding are as follows. First, the image of polka dots clothing consists of 4 factors as aesthetics, brevity, dynamism and lightweight. Secondly, the interval of the dot has a great influence on the formation of the image of polka dots clothing. Lastly, the evaluations of the image of polka dots clothing were different depending on the age and physical image, the personal characteristics of the object of investigation.

반도체 자동화를 위한 빈피킹 로봇의 비전 기반 캘리브레이션 방법에 관한 연구 (A Study on Vision-based Calibration Method for Bin Picking Robots for Semiconductor Automation)

  • 구교문;김기현;김효영;심재홍
    • 반도체디스플레이기술학회지
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    • 제22권1호
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    • pp.72-77
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    • 2023
  • In many manufacturing settings, including the semiconductor industry, products are completed by producing and assembling various components. Sorting out from randomly mixed parts and classification operations takes a lot of time and labor. Recently, many efforts have been made to select and assemble correct parts from mixed parts using robots. Automating the sorting and classification of randomly mixed components is difficult since various objects and the positions and attitudes of robots and cameras in 3D space need to be known. Previously, only objects in specific positions were grasped by robots or people sorting items directly. To enable robots to pick up random objects in 3D space, bin picking technology is required. To realize bin picking technology, it is essential to understand the coordinate system information between the robot, the grasping target object, and the camera. Calibration work to understand the coordinate system information between them is necessary to grasp the object recognized by the camera. It is difficult to restore the depth value of 2D images when 3D restoration is performed, which is necessary for bin picking technology. In this paper, we propose to use depth information of RGB-D camera for Z value in rotation and movement conversion used in calibration. Proceed with camera calibration for accurate coordinate system conversion of objects in 2D images, and proceed with calibration of robot and camera. We proved the effectiveness of the proposed method through accuracy evaluations for camera calibration and calibration between robots and cameras.

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유행관여에 따른 여성기성복 상표이미지 포지셔닝 연구 -20대 직장여성을 중심으로- (A Study on Brand Image Positioning for Ladies' Ready-to wear According to Fashion Involvement - As Object of working women)

  • 박혜원;임숙자
    • 한국의류학회지
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    • 제16권4호
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    • pp.393-403
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    • 1992
  • This Study intended to provide positioning strategies of brand Image for ladies' ready to wear by analysing the perceptual dimensions of working women. The subjects were devided into two groups according to the fashion involvement, and in each group, a positioning map was composed by use of multidimensional scaling. 251 subjects of this study were gathered into stratified sample groups from working women in Seoul, being subdivided according to their each occupation and age. The data were analysed by frequency, percentage, average, $x^{2}-test$, 1-test, Factor Analysis, cronbach's $\alpha$. Also, KYST, PROFIT, PREFMAP for multidimensional scaling were used. The results were as follows. 1. Two groups were identified according to degree of fashion involvement: high-involvement group, and low-involvement group. 2. From the analysis of the similarity of brand image, high involvement group percieved greater difference in brand image than low involvement group. 3. From the analysis of the evaluation of brand attributes, the evaluations in self expression, fashionability, design, sales promotion activity, sociality, quality, fit showed differences bet-ween high involvement group and low involvement group. 4. From the analysis of the preference of brand image, the distribution of preference and ideal point were different between high involvement group and low involvement group.

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건설 차량 실시간 그래픽 주행 시뮬레이터 (A Real-Time Graphic Driving Simulator of the Construction Vehicle)

  • 손권;최경현;유창훈
    • 한국정밀공학회지
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    • 제16권7호
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    • pp.109-118
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    • 1999
  • A graphic software is one of the most important components of the vehicle simulator. To increase a visual reality of the simulator, the graphic software should require several technologies such as three-dimensional graphics, graphic modeling of the vehicle and the environment, drivers biomechanical models, and real-time data processing. This study presents a real time graphic driving simulator of a construction vehicle. The graphic simulator contains the three models of the construction vehicle, the human, and the environment, and employes a neural network approach to decrease an on-line dynamic computation. An excavator model is represented using an object-oriented paradigm and contains the detailed information about a real-size vehicle. The human model is introduced for objective visual evaluations of the developed excavator model. Since the environment model plays an important role in a real-time simulator, a block-based approach is implemented and a text format is utilized for easier construction of environment. The simulation results are illustrated in order to demonstrate the applicability of developed models and the neural network approach.

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서비스 R&D 예산편성 및 투자전략 연구 (A Study on Service R&D Budgeting and Investment Strategy)

  • 김현수
    • 한국IT서비스학회지
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    • 제12권2호
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    • pp.373-386
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    • 2013
  • The purpose of this research is to develop a model for efficient service R&D investment in government budgeting process. It is necessary to develop an efficient and effective investment model to improve competitiveness of the service industry and national economy. Various existing types of service R&D classification have been reviewed. And object-oriented service R&D request classification types have been derived. A tentative model for evaluating service R&D requests have been developed through extensive discussions on effective methodologies. The model has been refined and revised by four service budgeting experts. The revised and refined checklists and guidelines have been used for 40 real service R&D requests evaluations. As a result, a full model for service R&D evaluation and budgeting has been proved to be useful. Also, a need for more efficient and concise evaluation model has been raised through this evaluation process. A brief model with only 10 checklists has been developed and its usefulness has been proven by pilot test with 10 real service R&D requests. The results of this study can be used for evaluation of service R&D proposals and effective budgeting of R&D requests for improving global competitiveness. Further research is needed for refining the developed evaluation models.

재난지역에서의 신속한 건물 피해 정도 감지를 위한 딥러닝 모델의 정량 평가 (Quantitative Evaluations of Deep Learning Models for Rapid Building Damage Detection in Disaster Areas)

  • 서준호;양병윤
    • 한국측량학회지
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    • 제40권5호
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    • pp.381-391
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    • 2022
  • 본 연구는 AI 기법 중에 최근 널리 사용되고 있는 딥러닝 모델들을 비교하여 재난으로 인해 손상된 건물의 신속한 감지에 가장 적합한 모델을 선정하는 데 목적이 있다. 먼저, 신속한 객체감지에 적합한 1단계 기반 검출기 중 주요 딥러닝 모델인 SSD-512, RetinaNet, YOLOv3를 후보 모델로 선정하였다. 이 방법들은 1단계 기반 검출기 방식을 적용한 모델로서 객체 인식 분야에 널리 이용되고 있다. 이 모델들은 객체 인식 처리방식의 구조와 빠른 연산의 장점으로 인해 객체 인식 분야에 널리 사용되고 있으나 재난관리에서의 적용은 초기 단계에 머물러 있다. 본 연구에서는 피해감지에 가장 적합한 모델을 찾기 위해 다음과 같은 과정을 거쳤다. 먼저, 재난에 의한 건물의 피해 정도 감지를 위해 재난에 의해 손상된 건물로 구성된 xBD 데이터셋을 활용하여 초고해상도 위성영상을 훈련시켰다. 다음으로 모델 간의 성능을 비교·평가하기 위하여 모델의 감지 정확도와 이미지 처리속도를 정량적으로 분석하였다. 학습 결과, YOLOv3는 34.39%의 감지 정확도와 초당 46개의 이미지 처리속도를 기록하였다. RetinaNet은 YOLOv3보다 1.67% 높은 36.06%의 감지 정확도를 기록하였으나, 이미지 처리속도는 YOLOv3의 3분의 1에 그쳤다. SSD-512는 두 지표에서 모두 YOLOv3보다 낮은 수치를 보였다. 대규모 재난에 의해 발생한 피해 정보에 대한 신속하고 정밀한 수집은 재난 대응에 필수적이다. 따라서 본 연구를 통해 얻은 결과는 신속한 지리정보 취득이 요구되는 재난관리에 효과적으로 활용될 수 있을 것이라 기대한다.

대한경락경혈학회지 연구동향 (Trends of Studies in Korean Journal of Acupuncture)

  • 송지청;황성연;안성훈;엄동명
    • Korean Journal of Acupuncture
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    • 제33권1호
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    • pp.1-11
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    • 2016
  • Objectives : When we understand the characters of certain person or object, we try to follow each one's or its past up. Korean Journal of Acupuncture is one of the most significant journal in acupuncture study fields in Korea. To understand the trends of study in acupuncture study fields, I made a subject with Korean Journal of Acupuncture. Methods : I made an evaluation and classification for all 713 articles' headline from vol. 17(2000 year) to vol.32(2015 year). Results : 1. Experimental Reseach : There were major portion articles for pharmaco-acupuncture study out of studies for acupuncture, moxibustion, chiropratics, devices and so on. 2. Bibliographical Research and Basic Theory Research : There were major portion articles for medians and acu-point study out of studies for article review and text book itself. Also, there were major portion articles for meridian and acupuncture study out of studies for Qigong, pulse, anatomy and so on. 3. Clinical Research : There were major portion articles for acupuncture study out of studies for moxibustion, chiropratics, devices, complex treatments and so on. 4. Others : There were major portion articles for diagnosis and measurement devices out of acupuncture, laser, pulsing device and so on. Also, there were surveys for recognition of patients and medical services and evaluations for measuring diagnosis utility and those effects. Conclusions : With thise results, I hope that several researchers could consider scope and subject when they submit articles for Korean Journal of Acupuncture.

Ecosystem Health Diagnosis Using Integrative Multiple Eco-metric Model Approaches

  • Kim, Hyun-Mac;Choi, Ji-Woong;An, Kwang-Guk
    • Journal of Ecology and Environment
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    • 제36권1호
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    • pp.73-83
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    • 2013
  • The object of this study was to evaluate lotic ecosystem health using multiple eco-metric approaches such as water chemistry diagnosis, physical habitat health evaluations, and biological integrity modeling at 100 streams of four major watersheds. For the study, eight chemical water quality parameters such as nutrients (N, P) and organic material were measured and 11-metric models of Qualitative Habitat Evaluation Index (QHEI) and multiple eco-metric health assessment model (MEHA) were applied to the four major watershed. Nutrient analysis of nitrogen (N) and phosphorus (P) in all watersheds indicated a eutrophic state depending on the locations of sampling streams. Physical habitat health, based on the QHEI model, averaged 114 (range: 56 - 194), judging as a "good condition" by the criteria of Plafkin et al. (1989). In addition, primary (H1 - H4), secondary (H5 - H7), and tertiary habitat metric variables (H8 - H11) were analyzed in relation to the physical habitat degradations. The plots of tolerant species ($P_{TS}$) and sensitive species ($P_{SS}$) to water quality showed that the proportions of $P_{TS}$ had positive linear functions with nutrients, and that the $P_{SS}$ had inverse linear relations with the chemical variables. The model of eco-metric health assessment showed that mean MEHA was 20.4, indicating a fair condition. Overall, our data suggest that water chemistry, based on nutrients and organic matter, directly modified the trophic structures in relation to food chain in the aquatic ecosystems, and then these directly influenced the compositions of tolerance/sensitive species, resulting in degradations of overall ecological health.

농업가뭄인자 미계측 지역의 농업가뭄 추정을 위한 기상학적 가뭄지수의 활용성 평가 (Availability Assessment of Meteorological Drought Index for Agricultural Drought Estimation in Ungauged Area of Agricultural Drought Parameter)

  • 박민우;김선주;권형중;김필식;강승묵;이재혁
    • 한국농공학회논문집
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    • 제59권5호
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    • pp.127-136
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    • 2017
  • The object of this study was to assess availability of meteorological drought index for agricultural dorught estimation in ungauged area of agricultural drought parameters which are reservoir water level and soil moisture. The IADI (Integrated Agricultural Drought Index) and the SPI (Standard Precipitation Index), which are the criteria for determining agricultural drought and meteorological drought, were calculated and compared. For this purpose, the droughts that occurred in the Baeksan reservoir in Gimje and the Edong reservoir in Suwon were evaluated by using the IADI and SPI drought indecies. In addition, we compared and analyzed the depth of drought based on the two drought indices. Evaluations derived form the IADI and SPI showed that the standard precipitation index tended to indicate the occurrence of drought earlier than the integrated agricultural drought index. However, the integrated agricultural drought index was better than the standard precipitation index at evaluating the severity of drought during the period of irrigation. The relationship between these two drought indices seems to be useful for decision making in the case of drought, and it is considered that more studies are needed to examine the applicability of these drought indexes.

Thickness measurements of a Cr coating deposited on Zr-Nb alloy plates using an ECT pancake sensor

  • Jeong Won Park;Bonggyu Ji;Daegyun Ko;Hun Jang;Wonjae Choi
    • Nuclear Engineering and Technology
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    • 제55권9호
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    • pp.3260-3267
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    • 2023
  • Zr-Nb alloy have been widely used as fuel rods in nuclear power plants. However, from the Fukushima nuclear accident, the weakness of the rod was revealed under harsh conditions, and research on the safety of these types of rods was conducted after the disaster. The method of depositing chromium onto the existing Zr-Nb alloy fuel rods is being considered as a means by which to compensate for the weakness of Zr-Nb alloy rods because chromium is strong against oxidation at high temperatures and has high strength. In order to secure these advantages, it is important to maintain the Cr thickness of the rods and properly inspect the rods before and during their use in power generation. Eddy current testing is a typical means of evaluating the thickness of thin metals and detecting surface defects. Depending on the size and shape of the inspected object, various eddy current sensors can be applied. In particular, because pancake sensors can be manufactured in very small sizes, they can be used for inspections even in narrow spaces, such as a nuclear fuel assembly. In this study, an eddy current technique was developed to confirm the feasibility of Cr coating thickness evaluations. After determining the design parameters of the pancake sensor by means of a FEM simulation, a FPCB pancake sensor was manufactured and the optimal frequency was selected by measuring minute changes in the Cr-coating thickness using the developed sensor.