• Title/Summary/Keyword: Distance weight

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Visual Precise Measurement of Pile Rebound and Penetration Movement Using a High-Speed Line-Scan Camera

  • Lim, Mee-Seub;You, Bum-Jae;Oh, Sang-Rok;Han, Song-Soo;Lee, Sang-Hun
    • Transactions on Control, Automation and Systems Engineering
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    • v.4 no.4
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    • pp.341-346
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    • 2002
  • When a construction company builds a high structure. many piles should be driven into the ground by a hammer whose weight is 7,000 kg in order to make the ground under the structure safe and strong. So. it is essential to determine whether a pile is penetrated into the ground enough to support the weight of the structure since ground characteristics at different locations are different each other. This paper proposes a visual measurement system for pile rebound and penetration movement including vibration using a high-speed line-scan camera and a specially designed mark to recognize two-dimensional motion parameters of the mark using only a line-scan camera. A mark stacking white and black right-angled triangles is used for the measurement, and movement information for vertical distance, horizontal distance and rotational angle is determined simultaneously. Especially- by adopting a line-scan CCD camera whose line rate is 20 ㎑. the measurement performance of dynamic characteristics of the pile at impact instant is improved dramatically.

A Clustering Algorithm using Self-Organizing Feature Maps (자기 조직화 신경망을 이용한 클러스터링 알고리듬)

  • Lee, Jong-Sub;Kang, Maing-Kyu
    • Journal of Korean Institute of Industrial Engineers
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    • v.31 no.3
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    • pp.257-264
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    • 2005
  • This paper suggests a heuristic algorithm for the clustering problem. Clustering involves grouping similar objects into a cluster. Clustering is used in a wide variety of fields including data mining, marketing, and biology. Until now there are a lot of approaches using Self-Organizing Feature Maps(SOFMs). But they have problems with a small output-layer nodes and initial weight. For example, one of them is a one-dimension map of k output-layer nodes, if they want to make k clusters. This approach has problems to classify elaboratively. This paper suggests one-dimensional output-layer nodes in SOFMs. The number of output-layer nodes is more than those of clusters intended to find and the order of output-layer nodes is ascending in the sum of the output-layer node's weight. We can find input data in SOFMs output node and classify input data in output nodes using Euclidean distance. We use the well known IRIS data as an experimental data. Unsupervised clustering of IRIS data typically results in 15 - 17 clustering error. However, the proposed algorithm has only six clustering errors.

A COMPARISON OF JERSEY CROSSBRED AND LOCAL OXEN AS DRAUGHT ANIMALS IN THE EASTERN HILLS OF NEPAL

  • Pearson, R.A.
    • Asian-Australasian Journal of Animal Sciences
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    • v.4 no.1
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    • pp.31-40
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    • 1991
  • Four pairs of draught oxen (two local and two Jersey crossbred) were studied when they ploughed dry land on local farms. Work done, distance traveled and body temperature of each ox were measured continuously over a 5 h working day. A different team worked each day, completing at least six days work each. Individual food intakes and digestibility of feed were measured when the animals were given rice straw and tree fodder, and housed and fed according to local husbandry practices. The Jersey crossbreds, particularly the longer legged type, had a higher rate of work than the local oxen in this study. They did significantly more work and covered a greater distance during the day. The absence of a hump in the crossbred oxen had no effect on the position of the yoke or the way the oxen pulled when ploughing. The longer legged type of Jersey crossbred tended to work more erratically than any of the other teams. A fast rate of work made the oxen more liable to heat stress. When fed according to local practices and given the same amount of feed as local oxen, Jersey crossbreds tended to do less well. During the ploughing months, the local oxen gained weight, while the crossbreds remained at the same or lost some weight. Although there were some disadvantages to keeping Jersey crossbreds for work, their favourable work output suggests that the introduction of the Jersey crossbred in the hills of Nepal is unlikely to be detrimental to the performance of the work oxen population.

Robust Test Generation for Stuck-Open Faults in CMOS Circuits (CMOS 회로의 Stuck-open 고장검출을 위한 로보스트 테스트 생성)

  • Jung, Jun-Mo;Lim, In-Chil
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.11
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    • pp.42-48
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    • 1990
  • In this paper robust test generation for stuck-open faults in CMOS circuits is proposed. By obtaining initialization patterns and test patterns using the relationship of bit position and Hamming weight among input vectors for CMOS circuit test generation time for stuck-open faults can be reduced, and the problem of input transition skew which make fault detection difficult is solved, and the number of test sequences are minimized. Also the number of test sequences is reduced by arranging test sequences using Hamming distance between initialization patterns and test patterns for circuit.

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Production of Agrometeorological Information in Onion Fields using Geostatistical Models (지구 통계 모형을 이용한 양파 재배지 농업기상정보 생성 방법)

  • Im, Jieun;Yoon, Sanghoo
    • Journal of Environmental Science International
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    • v.27 no.7
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    • pp.509-518
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    • 2018
  • Weather is the most influential factor for crop cultivation. Weather information for cultivated areas is necessary for growth and production forecasting of agricultural crops. However, there are limitations in the meteorological observations in cultivated areas because weather equipment is not installed. This study tested methods of predicting the daily mean temperature in onion fields using geostatistical models. Three models were considered: inverse distance weight method, generalized additive model, and Bayesian spatial linear model. Data were collected from the AWS (automatic weather system), ASOS (automated synoptic observing system), and an agricultural weather station between 2013 and 2016. To evaluate the prediction performance, data from AWS and ASOS were used as the modeling data, and data from the agricultural weather station were used as the validation data. It was found that the Bayesian spatial linear regression performed better than other models. Consequently, high-resolution maps of the daily mean temperature of Jeonnam were generated using all observed weather information.

Blast Fragility and Sensitivity Analyses of Steel Moment Frames with Plan Irregularities

  • Kumar, Anil;Matsagar, Vasant
    • International journal of steel structures
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    • v.18 no.5
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    • pp.1684-1698
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    • 2018
  • Fragility functions are determined for braced steel moment frames (SMFs) with plans such as square-, T-, L-, U-, trapezoidal-, and semicircular-shaped, subjected to blast. The frames are designed for gravity and seismic loads, but not necessarily for the blast loads. The blast load is computed for a wide range of scenarios involving different parameters, viz. charge weight, standoff distance, and blast location relative to plan of the structure followed by nonlinear dynamic analysis of the frames. The members failing in rotation lead to partial collapse due to plastic mechanism formation. The probabilities of partial collapse of the SMFs, with and without bracing system, due to the blast loading are computed to plot fragility curves. The charge weight and standoff distance are taken as Gaussian random input variables. The extent of propagation of the uncertainties in the input parameters onto the response quantities and fragility of the SMFs is assessed by computing Sobol sensitivity indices. The probabilistic analysis is conducted using Monte Carlo simulations. The frames have least failure probability for blasts occurring in front of their corners or convex face. Further, the unbraced frames are observed to have higher fragility as compared to counterpart braced frames for far-off detonations.

Performance comparison of INM-CM5 and INM-CM4 for monthly precipitation in historical period (INM-CM5 및 INM-CM4의 과거기간 월 강수량에 대한 성능 비교)

  • Song, Young Hoon;Chung, Eun Sung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.197-197
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    • 2020
  • 기후변화 연구의 주요 요소 중 하나는 온도, 강수량 및 증발과 같은 기후 요인의 변화를 연구하는 것이다. General Circulation Model(GCM)은 다양한 기후 요인의 변화를 연구하는 데 일반적으로 사용되고 있다. Coupled Model Intercomparison Project(CMIP)는 전 세계의 30여 개 이상의 기관에서 개발한 GCM의 모의 결과를 연구 및 공유하기 위해 개발되었다. 기후 연구에서 대표적으로 사용하고 있는 CMIP5의 GCM은 미래 시나리오인 Representative Concentration Pathway(RCP)를 기반으로 전망 기간의 기후요소를 예측한다. 현재 개발하고 있는 CMIP6의 미래 시나리오인 Shared Socioeconomic Pathways(SSP)는 인구, 경제개발, 생태계, 자원, 제도 및 사회적 요인에 대한 미래의 사회적, 경제적 변화에 따른 기후변화에 대한 대응을 포함하고 있으며, CMIP6의 미래 시나리오는 사회적 및 경제적 결합을 통해 기후변화에 대한 정책 영향에 대한 증진된 결과를 도출할 것으로 예측하고 있다. 따라서 본 연구는 CMIP5의 INM-CM4와 CMIP6의 INM-CM5를 사용하여 대한민국의 과거 기간(1970-2005)의 월 강수량에 대한 성능을 비교하였다. 격자형 자료인 GCM을 Inverse distance weight를 사용하여 대한민국 22개 관측소로 거리 보간을 수행하였으며, 편이보정 방법으로는 분위사상법(Quantile mapping) 방법 중 Smoothing Spline 방법을 사용하여 관측소와의 오차를 수정하였다. 산정된 강수량을 토대로 6개의 평가지표(NRMSE, Pbias, NSE, PRCP100, PRCP200, PRCP300)를 사용하여 GCM의 성능을 평가하여 INM-CM4와 INM-CM5의 성능을 비교하였다.

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An Analytical Study for Determining Optimum Section and Trench Range on Soft Counter Weight Fill (연약지반상 압성토의 최적단면 및 측구위치 결정을 위한 해석적 연구)

  • Park, Jongcheol;Chang, Yongchai;Baek, Incheol;Jung, Donghwan
    • Journal of the Korean Geosynthetics Society
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    • v.14 no.1
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    • pp.51-58
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    • 2015
  • The counter weight filling is a technology to accumulate soils on the side of berm with a proper width and height for improving the stability of the embankment. This study aims to assess a feasibility of the counter weight filling in the construction of pavement roads for recovery of shear failure during the construction. An effective counter weight filling section was suggested using the numerical analysis. The results showed that the effective counter weight filling section is two-fold (x2) higher than the ratio of width in counter weight filling : embankment height and one third (1/3) to the ratio of height in counter weight filling : embankment height. Also a range of effective trench crossing the counter weight filling required when a trench crossing counter weight filling is installed was suggested by supplying a proper distance between the counter weight filling section and cross-sectional trench.

Studies on the Behavioral response in Silkworm larvae, Bombyx mori. Genetic Analysis and Correlated Response to Economic Characters of Walking Distance (가잠유충의 행동반응성에 관한 연구)

  • Park, Yeon-Gyu;Lee, Sang-Pung;Lee, Ho-Ju
    • Journal of Sericultural and Entomological Science
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    • v.30 no.1
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    • pp.8-19
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    • 1988
  • The objective of the present study was to investigate the behavioral responses of sillkworm (Bombyx mori) larvae to: the dominant effect of walking distace: and the relationships between walking distance and the various economic characters on yellow sheets. The means of walking distances of progeny from F2 and F1 F1 and F2 generations, which was a hybrid between the long and the short walking distances, were shorter than those of parents. This may indicate that the genes for the short walking distances were partially dominant over those for the longwalking. Estimated broad sense heritability of larval walking distance was different for each larval instar, which fell into the range of 52∼84%. Genetic correlation was apparent between walking distances of all larval stages and some economic characters. The number of cocoons per liter and the period from incubation to emergence have shown the positive genetic correlation with walking distances. The cocoon yield, the sing cocoon weight, and the cocoon shell weight have shown to be in the negative correlation with walking distances. No correlation was observed between walking distances of the mature larvae and any economic characters. The analysis by the path coefficient showed negative direct effect of walking distances on the cocoon yield, and positive indirect effect on the single cocoon weight and the cocoon shell weight.

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Minimum-weight design of stiffened shell under hydrostatic pressure by genetic algorithm

  • Ghasemi, A.R.;Hajmohammad, M.H.
    • Steel and Composite Structures
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    • v.19 no.1
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    • pp.75-92
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    • 2015
  • In this paper, optimization of cylindrical shells under external pressure to minimize its weight has been studied. Buckling equations are based on standard of ABS underwater vehicles. Dimension and type of circumferential stiffeners, and its distance from each other are assumed as variables of optimization problem. Considering the extent of these variables, genetic algorithms have been used for optimization. To study the effect of hydrostatic pressure on the shell and its fabrication according to the existing standards, geometrical and construction as well as stress and buckling constraints have been used in optimization algorithm and also penalty functions are applied to eliminate weak model. Finally, the best model which has the minimum weight considering the applied pressure has been presented.