• Title/Summary/Keyword: shift pattern

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UTLIZIATION OF RADARSAT FOR FORECASTING OIL SLICKT RAJECTORY MOVEMENT

  • Marghany, Maged
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.435-437
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    • 2003
  • This study presents work to utilize RADARSAT SAR image for forecast oil slick trajectory movement. The fractal dimension algorithm used to detect oil slick. The Doppler frequency shift and quasi-linear model was used to simulate a current pattern from RADARSAT image. The Fay’s algorithm of oil slick spreading was developed based on a Doppler frequency shift model. Thus, the study shows that fractal dimension algorithm discriminated the oil slick from the surrounding water features. The quasi-linear model shows that the current pattern can be simulated from single RADARSAT image. The oil slick trajectory model shows that after 48 hrs, the oil slick parcels deposited along the coastal waters.

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The Decision Algorithm for Driving inclnaction at incline load Using Moduled Neural Network (모듈 형태의 신경망을 이용한 경사 도로 주행시 운전성향 판단 알고리즘)

  • 김성주;강준영;김용택;서재용;전홍태
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.05a
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    • pp.256-259
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    • 2002
  • Recently, most vehicles has the Automatic transmission system as their transmission system. The automatic transmission system operates with fixed shift patterns. In the opposite of manual operation, it is easy and convenient for driving. Though these merit, the system can not evaluate the driver's intension because of usage of firmed shift pattern. Especially, when the load has declination the AT system must operate for engine break effect. Namely, if the vehicle drives on the load of decrease, the acceleration of the vehicle goes to high then. At that time, the shift goes to down position the vehicle has some negative acceleration with the resistance of engine. To consider driver's intension in this case, we must consider both the driving intensity of driver and the status of load. In this paper, we developed flexible automatic transmission system by using the proposed moduled neural networks which can learn the status of the load and driver's intensity As a result, we compare the transmission system using firmed shift pattern and the proposed transmission system and show the good performance in the change of shift position.

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Response Characteristics of Organic Gas for Polymer Coating Materials (고분자 감응성막의 유기가스 반응 특성)

  • 김정명;유승엽;장정수;권영수
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1995.11a
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    • pp.273-276
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    • 1995
  • In this paper, the response characteristics of organic gases were investigated by using quartz crystal microbalance(Q.C.M) with different coating materials. The method for pattern was discussed in order to develope gas sensing system using neural network and pattern recognition. we analyzed the response characteristics by the area of frequency shift, which mean affinities of gases for coating material. The results shows that the Parameter made by the area of frequency shift has possibility to be used for pattern recognition and neural network. we found that each gas had different decrease pattern for coating material.

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Measurement Method of the Vibration Mode Shapes Using Electro-Optic Holographic Interferometry (전자 광학적 훌로그래픽 간섭법을 이용한 진동물체의 모드형태 계측법)

  • Choi, Jang-Seob;Kang, Young-June
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.20 no.2
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    • pp.564-574
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    • 1996
  • This paper describes as Electronic Speckle Pattern Interferometry system which has been designed for measuring vibration patterns and quantitative measurement of vibration amplitude fields by using the time average method on a object. Visbility of fringe patterns is more improved by using the phase stepping and frame average method to reduce speckle and electric noise. And a bias vibration is introduced into the reference beam to shift the $\frac{2}{0}$ fringes so that fringe shift algorithms can be used to determine vibration amplitude. The experimental results are compared to those of the FFT analyzer and the FEM model analysis.

Development of Intelligent Gear-Shifting Map Based on Radial Basis Function Neural Networks

  • Ha, Sang-Hyung;Jeon, Hong-Tae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.13 no.2
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    • pp.116-123
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    • 2013
  • Currently, most automobiles have automatic transmission systems. The gear-shifting strategy used to generate shift patterns in transmission systems plays an important role in improving the performance of vehicles. However, conventional transmission systems have a fixed type of shift map, so it may not be enough to provide an efficient gear-shifting pattern to satisfy the demands of driver. In this study, we developed an intelligent strategy to handle these problems. This approach is based on a normalized radial basis function neural network, which can generate a flexible gear-shift pattern to satisfy the demands of drivers, including comfortable travel and fuel consumption. The method was verified through simulations.

A Study of the Guess Pattern Hypothesis in Language Acquisition: Looking at Children′s Interpretation of Stress-Shift Constructions (언어습득 과정에서 발생하는 추측양상에 대한 연구: 강세이동구문을 중심으로)

  • 강혜경
    • Korean Journal of Cognitive Science
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    • v.14 no.2
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    • pp.27-35
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    • 2003
  • The present study, focusing on the stress-shift constructions, examines the tendency of young children to give wrong wide scope interpretation in language acquisition and questions the validity of the guess pattern hypothesis argued by Grodzinsky & Reinhart (1993). According to the hypothesis, children know that they have to construct a reference-set, keep two representations in working memory, and check whether the interpretation needed in the given context justifies selection of competing reference sets, but their working memory is not big enough to hold the materials needed to complete the execution of this task. Hence they give up and resort to a guess. 1 carried out an experiment of 16 Korean children aged 3;9 to 6;2 to find out whether children have more difficulty in the interpretation of stress-shift constructions than of constructions with a nuclear stress, and therefore perform the interpretation of the former by guessing. Assuming that the tendency is caused by a deficiency in contextual computation rather than reference set computation, I try to explain it in terms of pragmatic considerations.

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The Effects of Aroma Inhalation on Sleep and Fatigue in Night Shift Nurses (아로마 흡입이 밤번근무 간호사의 수면과 피로에 미치는 효과)

  • Chnag, Soon-Bok;Chu, Sang-Hui;Kim, Yeong-In;Yun, Sun-Hee
    • Korean Journal of Adult Nursing
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    • v.20 no.6
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    • pp.941-949
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    • 2008
  • Purpose: This study was conducted to describe the effects of aroma inhalation on sleep and fatigue in night shift nurses. Methods: The research design was one group pre-posttest design. The subjects were 17 night shift nurses who work at neurosurgery intensive care unit of K hospital of C university in Seoul. During three consequent night shifts, the participants were worn the Actigraph to measure the sleep pattern on their wrist since their first night shift work. The quality of sleep and fatigue was measured by survey when they awoke at 6 pm after second night shift work. And these measures were repeated during the night shifts in second and third week. Aroma inhalation was applied before going to bed after finishing each night shift work during second and third week. SPSS 12.0 program was used for data analysis. Results: There were no statistically significant differences in sleep latency and total sleeping time. However, significant differences were found in the sleep efficiency, awakening number, sleep quality, subjective symptom and intensity of fatigue. Conclusion: These results showed that aroma inhalation had positive effects on the pattern and quality of sleep and reducing fatigue in night shift nurses.

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Polynomial Higher Order Neural Network for Shift-invariant Pattern Recognition (위치 변환 패턴 인식을 위한 다항식 고차 뉴럴네트워크)

  • Chung, Jong-Su;Hong, Sung-Chan
    • The Transactions of the Korea Information Processing Society
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    • v.4 no.12
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    • pp.3063-3068
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    • 1997
  • In this paper, we have extended the generalization back-propagation algorithm to multi-layer polynomial higher order neural networks. The purpose of this paper is to describe various pattern recognition using polynomial higher-order neural network. And we have applied shift position T-C test pattern for invariant pattern recognition and measured generalization by mirror symmetry problem. simulation result shows that the ability for invariant pattern recognition increase with the proposed technique. Recognition rate of invariant T-C pattern is 90% effective and of mirror symmetry problem is 70% effective when the proposed technique is utilized. These results are much better than those by the conventional methods.

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An Analysis of the Differences between English and Translated Picture Books in Korean in Predictable Pattern Books (예측 가능한 패턴의 영어그림책과 한국어 번역그림책 간의 차이 분석)

  • Lee, Myoung Shin;Kim, Ji Yeon
    • Korean Journal of Child Studies
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    • v.35 no.2
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    • pp.157-169
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    • 2014
  • This study sought to explore the types of predictable pattern books are suitable for reading aloud, the differences between English and translated Korean picture books in terms of their characteristics of speakability and the meaning of sentences. This study investigated a total of 112 picture books. The predictable pattern types were analyzed specifically, compared with onomatopoeia, mimetic words, repetition, rhyme, the shift of sentence and style types. The results indicated that predictable pattern books could be classified into eight types and the number of sentences in translated books increased owing to the difference of sentence structure. In terms of speakability, words in repetition, onomatopoeia and mimetic words represented higher frequency except rhyme because of the difference of characteristics of the two languages. Furthermore, translations used strategies of the shift in sentence and style types for speakability. These findings demonstrate that predictable pattern books can serve as good materials to read aloud for young children not only in terms of English picture books but also translated books regardless of concerns regarding their speakability.

Chemical Shift and Quadrupolar Interactions in Solids

  • Kim Jin-Eun
    • Journal of the Korean Magnetic Resonance Society
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    • v.10 no.1
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    • pp.1-37
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    • 2006
  • General expressions for solid state NMR lines are described for transitions under static, magic angle spinning, and variable angle spinning conditions in the case where the principal axis system for the anisotropic chemical shift tensor is noncoincident with that of the quadrupole coupling tensor. It is demonstrated that solid state NMR powder pattern simulation program VMAS based on the conventional grid point method of integrating over the Euler angle space is fast enough in comparison with the POWDER simulation package and Gauss-point method.

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