• Title/Summary/Keyword: prediction structure

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A Study on Effects of the Residual Stresses Around Cold Working Hole of the Aircraft Structure (항공기 구조물의 체결용 HOLE을 COLD WORKING 할때 생성되는 잔류응력의 영향연구)

  • 강수준;최청호
    • Journal of the Korea Institute of Military Science and Technology
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    • v.2 no.1
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    • pp.101-109
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    • 1999
  • The objective of this research is to study effects of the residual stresses on the crack growth and the life of the structure, caused by cold working around the hole of the aircraft structure which will be jointed by rivets and bolts, etc. The compensated Morrow's equation, by experimental data from the materials AL7075-T6 and AL2024-T3, is suggested to calculate the values of the fatigue life prediction of the structure. Also, the compensated Forman's equation, by experimental data from a material AL7075-T6, is suggested to calculate the values of the crack growth prediction of the structure. It is founded that the calculated values from the suggested equations are almost close to the known values of the fatigue life prediction and the crack growth prediction. It is shown that this paper, associated with an initial research on the effects of residual stresses around hole, gives a direction to study the problem at the aircraft maintenance field.

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Protein Disorder Prediction Using Multilayer Perceptrons

  • Oh, Sang-Hoon
    • International Journal of Contents
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    • v.9 no.4
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    • pp.11-15
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    • 2013
  • "Protein Folding Problem" is considered to be one of the "Great Challenges of Computer Science" and prediction of disordered protein is an important part of the protein folding problem. Machine learning models can predict the disordered structure of protein based on its characteristic of "learning from examples". Among many machine learning models, we investigate the possibility of multilayer perceptron (MLP) as the predictor of protein disorder. The investigation includes a single hidden layer MLP, multi hidden layer MLP and the hierarchical structure of MLP. Also, the target node cost function which deals with imbalanced data is used as training criteria of MLPs. Based on the investigation results, we insist that MLP should have deep architectures for performance improvement of protein disorder prediction.

Introduction to Gene Prediction Using HMM Algorithm

  • Kim, Keon-Kyun;Park, Eun-Sik
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.489-506
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    • 2007
  • Gene structure prediction, which is to predict protein coding regions in a given nucleotide sequence, is the most important process in annotating genes and greatly affects gene analysis and genome annotation. As eukaryotic genes have more complicated structures in DNA sequences than those of prokaryotic genes, analysis programs for eukaryotic gene structure prediction have more diverse and more complicated computational models. There are Ab Initio method, Similarity-based method, and Ensemble method for gene prediction method for eukaryotic genes. Each Method use various algorithms. This paper introduce how to predict genes using HMM(Hidden Markov Model) algorithm and present the process of gene prediction with well-known gene prediction programs.

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Cost Prediction Model using Qualitative Variables focused on Planning Phase for Public Multi-Housing Projects (정성변수를 고려한 공공아파트 기획단계 공사비 예측모델)

  • Ji, Soung-Min;Hyun, Chang-Taek;Moon, Hyun-Seok
    • Korean Journal of Construction Engineering and Management
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    • v.13 no.2
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    • pp.91-101
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    • 2012
  • In planning phase of Public Multi-Housing Projects, it is required to develop the methodology and criteria for fair cost prediction with influencing power from planning phase to occupancy phase. Many studies still have focused on the prediction of cost by multiple regression. However, there is no logical explanation about the influence of nonmetric variables for the prediction of cost in planning phase. Accordingly, this research pursues a cost prediction model including nonmetric variables for use in planning phase. There are 3 steps of this research : 1) Finding the factors influencing construction cost and assigning variables for a multiple regression. 2) Conducting a dummy regression analysis with nonmetric variables and model validation by comparing actual cost data. 3) Developing the ratio of RC structure cost to wall structure cost by using cost predection model. The results could establish cost prediction process including the influence of nonmetric variables and the ratio of RC structure cost to wall structure cost.

Prediction Principle and System Structure for the Detection of Incipient Electrical Fire (전기화재 예지원리 및 징후검출 시스템 구조)

  • 김창종
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.9 no.4
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    • pp.71-77
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    • 1995
  • Electrical fire in residential, commercial, and industrial areas occupies 40 percent of overall fire accidents as of the year of 1994. The causes of most electrical fires were studied and, based on this investigation, the principle of the early detection or prediction of the electrical fires is developed. The basic principle is to early detect electrical arcs or sparks caused by faulty connections and insulation failures. the structure of the prediction system based on microcontroller technique is presented.

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Wind characteristics of Typhoon Dujuan as measured at a 50m guyed mast

  • Law, S.S.;Bu, J.Q.;Zhu, X.Q.;Chan, S.L.
    • Wind and Structures
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    • v.9 no.5
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    • pp.387-396
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    • 2006
  • This paper presents the wind characteristics of Typhoon Dujuan as measured at a 50 m guyed mast in Hong Kong. The basic wind speed, wind direction and turbulent intensity are studied at two measurement levels of the structure. The power spectral density of the typhoon is compared with the von Karman prediction, and the coherence between wind speeds at the two measurement levels is found to This paper presents the wind characteristics of Typhoon Dujuan as measured at a 50 m guyed mast in Hong Kong. The basic wind speed, wind direction and turbulent intensity are studied at two measurement levels of the structure. The power spectral density of the typhoon is compared with the von Karman prediction, and the coherence between wind speeds at the two measurement levels is found to compare with Davenport's prediction. The effect of typhoon Dujuan on the response of the structure will be discussed in a companion paper (Law, et al. 2006).with Davenport's prediction. The effect of typhoon Dujuan on the response of the structure will be discussed in a companion paper (Law, et al. 2006).

A Study on the Development of Corrosion Prediction System of Reinforcing Bars in Sea-shore Structure (해양 구조물의 철근부식 예측기법 개발에 관한 연구)

  • 박승범;김도겸
    • Journal of the Korea Concrete Institute
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    • v.11 no.6
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    • pp.89-100
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    • 1999
  • Service life of concrete structures that are exposed to the environmental attack is largely influenced by the corrosion of reinforcing bare due to the chloride contamination. Chloride ions penetrate continuously into concrete from the environment, and chloride diffusion velocity is governed by a mechanical steady stage. In this study, a method is developed to predict corrosion initiation of reinforcing bars in the sea-shore structures, based on governing equations that take into account the diffusing of chloride ions and a mechanical steady state. As a result of this study, Corrosion Prediction System (CPS) is developed, and it can be used to determine an optimal time for repair and rehabilitation actions need to be taken. Futhermore, CPS assists the concrete mixing structures by predicting of chloride concentrations in concrete mixture, exposed to salt concentrations and service environment.

Prediction of life of SAPH45 steel with measured fracture time and strength (인장파단시간 및 응력측정에 의한 SAPH45의 수명예측)

  • 박종민
    • Proceedings of the Korean Society of Machine Tool Engineers Conference
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    • 1998.03a
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    • pp.269-273
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    • 1998
  • The failure of material structures or mechanical system is considered as a direct or indirect result of fatigue. In the design of mechanical structure for estimating of reliability, the prediction of failure life is the most important failure mode to be considered. However, because of a complicated behavior of fatigue in mechanical structure, the analysis of fatigue is in need of much researches on life prediction. This document presents a prediction of fatigue life of the SAPH45 steel, which is extensively for vehicle frame. The method using lethargy coefficient and stress distribution factor at pediction of fatigue life based on the consideration of the failure characteristics from the tensile test should be provided in this study.

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Improved Prediction Structure and Motion Estimation Method for Multi-view Video Coding (다시점 비디오 부호화를 위한 개선된 예측 구조와 움직임 추정 기법)

  • Yoon, Hyo Sun;Kim, Mi Young
    • Journal of KIISE
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    • v.41 no.11
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    • pp.900-910
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    • 2014
  • Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. The computational complexity of multi view video coding increases in proportion to the number of cameras. To reduce computational complexity and maintain the image quality, improved prediction structure and motion estimation method is proposed in this paper. The proposed prediction structure exploits an average distance between the current picture and its reference pictures. The proposed prediction structure divides every GOP into several groups to decide the maximum index of hierarchical B layer and the number of pictures of each B layer. And the proposed motion estimation method uses a hierarchical search strategy. This strategy method consists of modified diamond search pattern, progressive diamond search pattern and modified raster search pattern. Experiment results show that the complexity reduction of the proposed prediction structure and motion estimation method over JMVC (Joint Multiview Video Coding) reference model using hierarchical B pictures of Fraunhofer-HHI and TZ search method can be up to 40~70% while maintaining similar video quality and bit rates.

Flexible GGOP prediction structure for multi-view video coding (다시점 동영상 부호화를 위한 가변형 다시점GOP 예측 구조)

  • Yoon, Jae-Won;Seo, Jung-Dong;Kim, Yong-Tae;Park, Chang-Seob;Sohn, Kwang-Hoon
    • Journal of Broadcast Engineering
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    • v.11 no.4 s.33
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    • pp.420-430
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    • 2006
  • In this paper, we propose a flexible GGOP prediction structure to improve coding efficiency for multi-view video coding. In general, reference software used for MVC uses the fixed GGOP prediction structure. However, the performance of MVC depends on the base view and numbers of B-pictures between I-picture(or P-picture) and P-picture. In order to implement the flexible GGOP prediction structure, the location of base view is decided according to the global disparities among the adjacent sequences. Numbers of B-pictures between I-picture(or P-picture) and P-picture are decided by camera arrangement such as the baseline distance among the cameras. The proposed method shows better result than the reference software of MVC. The proposed prediction structure shows considerable reduction of coded bits by 7.1%.