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The Effects of Success Factors of Six Sigma on Job Satisfaction and Quality Performance (6시그마 성공요인이 직무만족과 품질성과에 미치는 영향)

  • Jang, Gil-Sang;Park, Hee-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.17 no.1
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    • pp.309-320
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    • 2015
  • This study is an empirical study on the relationships among success factors of six sigma(support of top management, education and training, performance-based reward, customer and quality focused thought), job satisfaction, and quality performance. In particular, mediating effect of job satisfaction on the relationship between success factors of six sigma and quality performance is empirically analysed to find causes and impacts among these variables. A survey was conducted on the employees working in 'H' company which is applying six sigma at Ulsan City. The survey questionnaires were sent to 300 people and 216 of them were returned. Data obtained was analyzed with SPSS 18.0. The study results are as follows: First, there were positive relationships between critical success factors of six sigma(except support of top management) and job satisfaction. Second, there was also a positive relationship between job satisfaction and quality performance. Third, there were also positive relationships between critical success factors of six sigma(except support of top management) and quality performance. Finally, job satisfaction were full mediating effects on the relationship between critical success factors of six sigma(education and training, performance-based reward) and quality performance. Critical success factors of six sigma(customer and quality focused thought) had a partial mediating effect on quality performance. On the other hand, support of top management had no mediating effect on quality performance.

The Effect of Technology Infringement on Consumer's Attitude Change Depending on Brand Reputation: Focusing on the Under-dog Effect of Weak Brand (브랜드 명성에 따른 기술 침해에 대한 소비자의 태도 변화: 약자 브랜드의 언더독 효과를 중심으로)

  • Kim, Keon-Woo;Park, Do-Hyung
    • The Journal of Information Systems
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    • v.27 no.4
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    • pp.167-187
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    • 2018
  • Purpose The purpose of this study is to confirm the factors for explaining the consumer behavior when occur patent litigation and technology infringement of each conditions which are brand reputation gap, technology importance and technology leakage attribution based on the Attribution Theory. Design/methodology/approach This study made a design of the research model by 2x2x2 factorial design deducted and performed 3-way ANOVA then analyzed 2-way AVOVA with brand reputation gap as center from technology importance and technology leakage attribution on the basis of the Attribution Theory. Findings According to the empirical analysis result, this study confirmed that consumer attitude has no difference regardless of technology leakage attribution when top-dog vs. under-dog situation and top-dog vs. top-dog situation. Also, this study confirmed that when under-dog infringe important technology, consumer show more positive attitude than the other. On the other hand, top-dog infringe important technology, consumer show more negative attitude than the other.

SVM on Top of Deep Networks for Covid-19 Detection from Chest X-ray Images

  • Do, Thanh-Nghi;Le, Van-Thanh;Doan, Thi-Huong
    • Journal of information and communication convergence engineering
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    • v.20 no.3
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    • pp.219-225
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    • 2022
  • In this study, we propose training a support vector machine (SVM) model on top of deep networks for detecting Covid-19 from chest X-ray images. We started by gathering a real chest X-ray image dataset, including positive Covid-19, normal cases, and other lung diseases not caused by Covid-19. Instead of training deep networks from scratch, we fine-tuned recent pre-trained deep network models, such as DenseNet121, MobileNet v2, Inception v3, Xception, ResNet50, VGG16, and VGG19, to classify chest X-ray images into one of three classes (Covid-19, normal, and other lung). We propose training an SVM model on top of deep networks to perform a nonlinear combination of deep network outputs, improving classification over any single deep network. The empirical test results on the real chest X-ray image dataset show that deep network models, with an exception of ResNet50 with 82.44%, provide an accuracy of at least 92% on the test set. The proposed SVM on top of the deep network achieved the highest accuracy of 96.16%.

Estimation of Genetic Improvement Based on the Breeding Values of Growth Traits of the Abalone Haliotis discus hannai (육종가 기반 북방전복(Haliotis discus hannai) 성장형질의 유전적 개량량 추정)

  • Park, Jong-Won;Park, Choul-Ji;Lee, Dain;Jung, Hyo Sun;Kim, Hyejin;Kim, Julan;Kim, Woo-Jin
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.53 no.4
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    • pp.544-550
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    • 2020
  • This study was conducted to estimate the genetic improvements by selection criteria using the genetic parameters and breeding values for population of abalone Haliotis discus hannai. Genetic parameters and breeding values were estimated using all measurement data of growth traits (shell length, shell width and total weight) at 18 and 30 months old after artificial fertilization for 3,029 individuals produced in April 2014. Growth traits all exhibited moderate heritability (0.253-0.354). So it is considered that family selection will be more advantageous than individual selection. It was found that a higher genetic improvement could be expected when selecting the top 10% based on the breeding values of total weight rather than other traits. In particular, a higher genetic improvement could be expected when selecting the top 10% at 30 months old than 18 months old after artificial fertilization. This seems to be because the selection differential and heritability were higher at the 30 months old. Therefore, by estimating genetic parameters and breeding values of a population for production of the next generations by stage of growth, if they are used properly in selection and mating according to the improvement direction, it is considered that more breeding effects can be expected.

Driver IC Modeling Technique for LED Driver Simulation (LED 드라이버 시뮬레이션을 위한 드라이버 IC 모델링 기법)

  • Yun, Jae-Yi;Choi, Bum-Ho;Yu, Yun-Seop
    • Proceedings of the KIPE Conference
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    • 2010.07a
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    • pp.222-223
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    • 2010
  • TOP245P driver IC modeling technique are proposed for the LED Driver design. Analog behavioral model of TOP245P IC including the shunt regulator, under-voltage(UV) detection, over-voltage(OV) shut-down and SR flip-flop is developed by using PSPICE. The averaged-model and switching-model is applied to the LED driver simulation. The simulation results by the proposed TOP245P IC modeling technique are in good agreement with that in the data sheet and an experiment data.

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A Numerical Study of a Room Fire for Fire Sizes I. Center Fire (FDS를 이용한 실내화재 모사의 문제점 I. 중심형 화재)

  • Ko, Kyung-Chan;Park, Woe-Chul
    • Journal of the Korean Society of Safety
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    • v.19 no.1
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    • pp.18-22
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    • 2004
  • The Fire Dynamics Simulator (FDS) was applied to a center fire in a room, of which dimensions were 1.8m${\times}$1.38m with an opening of 0.45m${\times}$1.2m doorway, to evaluate the numerical method. The time-variation of temperature at a top point of thedoorway centerline and distributions of evaluate the numerical method. The time-variation of temperature at a top point of the doorway centerline and distributions of average temperature along the doorway centerline and corner stack were compared with measurements for three different fire sizes, 7.65, 21.25 and 51.71kW. The results showed FDS predicted a very rapid fire growth compared with the experiment for all the three fire sizes, that is an importand shortcoming of FDS in compartment fire simulations. The average temperature distributions, and heights of hot gas layers and neutral planes in steady state were in reasonable agreement with the measurements.

Content-Based Image Retrieval of Chest CT with Convolutional Neural Network for Diffuse Interstitial Lung Disease: Performance Assessment in Three Major Idiopathic Interstitial Pneumonias

  • Hye Jeon Hwang;Joon Beom Seo;Sang Min Lee;Eun Young Kim;Beomhee Park;Hyun-Jin Bae;Namkug Kim
    • Korean Journal of Radiology
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    • v.22 no.2
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    • pp.281-290
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    • 2021
  • Objective: To assess the performance of content-based image retrieval (CBIR) of chest CT for diffuse interstitial lung disease (DILD). Materials and Methods: The database was comprised by 246 pairs of chest CTs (initial and follow-up CTs within two years) from 246 patients with usual interstitial pneumonia (UIP, n = 100), nonspecific interstitial pneumonia (NSIP, n = 101), and cryptogenic organic pneumonia (COP, n = 45). Sixty cases (30-UIP, 20-NSIP, and 10-COP) were selected as the queries. The CBIR retrieved five similar CTs as a query from the database by comparing six image patterns (honeycombing, reticular opacity, emphysema, ground-glass opacity, consolidation and normal lung) of DILD, which were automatically quantified and classified by a convolutional neural network. We assessed the rates of retrieving the same pairs of query CTs, and the number of CTs with the same disease class as query CTs in top 1-5 retrievals. Chest radiologists evaluated the similarity between retrieved CTs and queries using a 5-scale grading system (5-almost identical; 4-same disease; 3-likelihood of same disease is half; 2-likely different; and 1-different disease). Results: The rate of retrieving the same pairs of query CTs in top 1 retrieval was 61.7% (37/60) and in top 1-5 retrievals was 81.7% (49/60). The CBIR retrieved the same pairs of query CTs more in UIP compared to NSIP and COP (p = 0.008 and 0.002). On average, it retrieved 4.17 of five similar CTs from the same disease class. Radiologists rated 71.3% to 73.0% of the retrieved CTs with a similarity score of 4 or 5. Conclusion: The proposed CBIR system showed good performance for retrieving chest CTs showing similar patterns for DILD.

Development of a 3 kW Grid-tied PV Inverter With GaN HEMT Considering Thermal Considerations (GaN HEMT를 적용한 3kW급 계통연계 태양광 인버터의 방열 설계 및 개발)

  • Han, Seok-Gyu;Noh, Yong-Su;Hyon, Byong-Jo;Park, Joon-Sung;Joo, Dongmyoung
    • The Transactions of the Korean Institute of Power Electronics
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    • v.26 no.5
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    • pp.325-333
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    • 2021
  • A 3 kW grid-tied PV inverter with Gallium nitride high-electron mobility transistor (GaN HEMT) for domestic commercialization was developed using boost converter and full-bridge inverter with LCL filter topology. Recently, many GaN HEMTs are manufactured as surface mount packages because of their lower parasitic inductance characteristic than standard TO (transistor outline) packages. A surface mount packaged GaN HEMT releases heat through either top or bottom cooling method. IGOT60R070D1 is selected as a key power semiconductor because it has a top cooling method and fairly low thermal resistances from junction to ambient. Its characteristics allow the design of a 3 kW inverter without forced convection, thereby providing great advantages in terms of easy maintenance and high reliability. 1EDF5673K is selected as a gate driver because its driving current and negative voltage output characteristics are highly optimized for IGOT60R070D1. An LCL filter with passive damping resistor is applied to attenuate the switching frequency harmonics to the grid-tied operation. The designed LCL filter parameters are validated with PSIM simulation. A prototype of 3 kW PV inverter with GaN HEMT is constructed to verify the performance of the power conversion system. It achieved high power density of 614 W/L and peak power efficiency of 99% for the boost converter and inverter.

Analysis of Actual Cross-Sectional Area During Scanning According to MRI Bore Size (MRI 보어 구경에 따른 검사 시 실효 단면적 분석)

  • Jeong, Hyunkeun;Jeong, Hyundo;Kim, Seongho;Jeon, Mincheol;Yoo, Sejong;Ko, Hyuncheol;Cho, Yonghyun
    • Journal of Biomedical Engineering Research
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    • v.41 no.6
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    • pp.219-227
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    • 2020
  • In this study, we tried to quantify the actual cross-sectional area inside the bore when scanning by the MRI system with various bore sizes. To this end, a comparative analysis was conducted by both of blueprint of each MRI equipment and actual measurement in the field. As a result of analysis, ACSA(Actual Cross-Sectional Area) in Ingenia CX, Elition X, uMR 780, Omega, Vida, Lumina, Architect, Premier is recorded as 171230, 232150, 242100, 309332, 230760, 230760, 229380 and 235990 ㎟, respectively ACSA% was 60.6, 60.3, 73.0, 70.0, 60.0, 60.0, 59.6, and 61,3%. In addition, DTB (Distance from Table top to Bore top) recorded 400, 407, 445, 495, 405, 405, 405, 403, and 412 mm. Through this study, it was confirmed that there is a difference between the bore size according to each MRI system and the actual cross-sectional area during MRI scanning. Accordingly, if we consider the internal actual area just not bore size at the clinical site, useful diagnostic images can be obtained in the end with better convenience.

ABSOLUTE RADIOMETRIC CALIBRATION OF 1M SATELLITE IMAGERY

  • Lee Sun-Gu;Lee Dong-han;Seo Doo-chun;Song Jeong Heon;Kim Yongseung;Paik Hongyul
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.616-619
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    • 2005
  • CALNAL team of Korea Aerospace Research Institute(KARI) performed field campaigns for absolute radiometric calibration of 1m satellite image on Daejeon and the cal/val site of Goheung. The satellite image have spatial resolution of 1m in panchromatic spectral band of 450-900nm. The performed cal/val method is the reflectance-based of vicarious calibration methods. We collected ground-based and meteology data such as temperature, surface pressure and reflectance of targets, and radiosonde data used only to test in Goheung. Data collected on each field served as input to radiative transfer codes to generate a top-of-atmosphere(TOA) radiance estimate. Derived TOA is compared with DN of overpass satellite to calculate calibration coefficient of gain and offset.

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