• Title/Summary/Keyword: target models

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Visual Fields Reflecting Effects of Target Size, Color and Meridian in Visual Tasks (시각작업의 설계와 평가를 위한 표적의 크기, 색과 위치에 따른 시각영역)

  • Kee, Do-Hyung
    • Journal of Korean Institute of Industrial Engineers
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    • v.27 no.2
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    • pp.190-196
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    • 2001
  • This study aims to develop three types of the visual fields: stationary field, eye field, and head field, which are classified depending upon the eye and head movements. A visual experiment taking target size, target color, and meridian into account was conducted, in which the L32 orthogonal array was employed. The results showed that target size and meridian were significant at ${\alpha}$=0.01 in all three visual fields. Contrary to expectation, target color was significant at ${\alpha}$=0.10 only in the head field. Furthermore, the differences in size of the head field depending upon four target colors were negligibly small. Three linear regression models were provided to generate visual fields which are appropriate for given visual task's characteristics. In addition, a simple method using adjusting factor was also proposed so that anyone without knowledge for human factors/ergonomics can easily generate and use them when designing or evaluating visual tasks. It is expected that the visual fields presented in this study can be easily used even by non-ergonomic experts in real situations due to their simplicity.

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Method for Similarity Assessment Between Target SAR Images Using Scattering Center Information (산란점 정보를 이용한 표적 SAR 영상 간 유사도 평가기법)

  • Park, Ji-Hoon;Lim, Ho
    • Journal of the Korea Institute of Military Science and Technology
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    • v.22 no.6
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    • pp.735-744
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    • 2019
  • One of the key factors for recognition performance in the automatic target recognition for synthetic aperture radar imagery(SAR-ATR) system is reliability of the SAR target database. To achieve optimal performance, the database should be constructed using the images obtained under the same operating condition as the SAR sensor. However, it is impractical to have the extensive set of real-world SAR images, and thus those from the electro magnetic prediction tool with 3-D CAD models are suggested as an alternative where their reliability can be always questionable. In this paper, a method for similarity assessment between target SAR images is presented inspired by the fact that a target SAR image is mainly characterized by the features of scattering centers. The method is demonstrated using a variety of examples and quantitatively measures the similarity related to reliability. Its assessment performance is further compared with that of the existing metric, structural similarity(SSIM).

Strut-and-Tie Models for RC Flexural Members under Cyclic Loading (스트럿-타이 모텔을 이용한 RC 휨부재의 주기적 거동에 관한 연구)

  • 이수곤;홍성걸
    • Proceedings of the Korea Concrete Institute Conference
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    • 2001.11a
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    • pp.453-458
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    • 2001
  • This paper presents the procedure to find the hysteresis loop of RC member using a modified strut-and-tie model. The forces and displacements at critical points, that are initial yielding point, target displacement point, unloading elastic limit, and reloading point after pinching, are investigated with the strut-and-tie models. Using bond-slip relationship, the elastic behavior of tie element is determined. The plastic flow behavior after flexural yielding is expressed by changing the location of longitudinal strut. Determination of pinching effect completes the initial hysteresis loop, assuming that the behavior of the opposite direction is symmetrical form.

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A Study on the Use of Friction Dampers for the Seismic Performance Upgrade of RC Structures

  • Kim, Jin-Ho;Kim, Lee-Hyeon
    • Proceedings of the Korea Concrete Institute Conference
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    • 2004.05a
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    • pp.482-485
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    • 2004
  • A Performance Based Design procedure for retrofitting the RC frame with friction dampers is described. The Capacity Diagram Method procedure is used to estimate the inelastic response of the example model. The example models were retrofitted using SBC dampers and the retrofitted example models were computation ally modeled. The results show that the performance of the retrofitted frame satisfies the target objective.

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Design of an EPC Model using Process Prediction (공정 예측을 통한 기술공정관리도(EPC)설계)

  • 김종걸;정해운
    • Proceedings of the Safety Management and Science Conference
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    • 2000.11a
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    • pp.203-216
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    • 2000
  • In this paper, we Investigate rationales for feedback adjustment using some techniques associated with automatic process control based on some nonstatioary disturbance models. Feedback-control schemes are often operated so that the nature of the disturbance that is being compensated is concealed and unusual deviations from the target cannot be taken account of. In this connection feedback control schemes is useful to extend the idea of common causes and special causes to such systems. Minimum-cost feedback schemes are discussed for some simple ,but practically interesting ,models.

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Automatic Change Detection of Digital Elevation Models Using Matching Method

  • Lee, Seung-Woo;Lee, Ho-Nam;Oh, Hae-Seok
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.393-395
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    • 2003
  • The changes of DEMs(Digital Elevation Models) will be detected to correct the information of DEMs and/or to get the information about themselves. This study suggests the evaluation of DEM using correlation coefficient value between the target and the reference DEMs for detect the changes.

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Comprehensive analysis of deep learning-based target classifiers in small and imbalanced active sonar datasets (소량 및 불균형 능동소나 데이터세트에 대한 딥러닝 기반 표적식별기의 종합적인 분석)

  • Geunhwan Kim;Youngsang Hwang;Sungjin Shin;Juho Kim;Soobok Hwang;Youngmin Choo
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.4
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    • pp.329-344
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    • 2023
  • In this study, we comprehensively analyze the generalization performance of various deep learning-based active sonar target classifiers when applied to small and imbalanced active sonar datasets. To generate the active sonar datasets, we use data from two different oceanic experiments conducted at different times and ocean. Each sample in the active sonar datasets is a time-frequency domain image, which is extracted from audio signal of contact after the detection process. For the comprehensive analysis, we utilize 22 Convolutional Neural Networks (CNN) models. Two datasets are used as train/validation datasets and test datasets, alternatively. To calculate the variance in the output of the target classifiers, the train/validation/test datasets are repeated 10 times. Hyperparameters for training are optimized using Bayesian optimization. The results demonstrate that shallow CNN models show superior robustness and generalization performance compared to most of deep CNN models. The results from this paper can serve as a valuable reference for future research directions in deep learning-based active sonar target classification.

Modeling Aided Lead Design of FAK Inhibitors

  • Madhavan, Thirumurthy
    • Journal of Integrative Natural Science
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    • v.4 no.4
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    • pp.266-272
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    • 2011
  • Focal adhesion kinase (FAK) is a potential target for the treatment of primary cancers as well as prevention of tumor metastasis. To understand the structural and chemical features of FAK inhibitors, we report comparative molecular field analysis (CoMFA) for the series of 7H-pyrrolo(2,3-d)pyrimidines. The CoMFA models showed good correlation between the actual and predicted values for training set molecules. Our results indicated the ligand-based alignment has produced better statistical results for CoMFA ($q^2$ = 0.505, $r^2$ = 0.950). Both models were validated using test set compounds, and gave good predictive values of 0.537. The statistical parameters from the generated 3D-QSAR models were indicated that the data are well fitted and have high predictive ability. The contour map from 3D-QSAR models explains nicely the structure-activity relationships of FAK inhibitors and our results would give proper guidelines to further enhance the activity of novel inhibitors.

Implemetation of STEP Standard Data Interface (SDAI) on Multiple Data Models (이종 데이터 모델에서의 STEP 표준 데이터 인터페이스(SDAI) 구현)

  • 권용국;유상봉
    • The Journal of Society for e-Business Studies
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    • v.3 no.1
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    • pp.1-22
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    • 1998
  • SDAI (Standard Data Access Interface) is an interface specification of accessing various storage systems such as file systems and database management systems for STEP data. Using SDAI, both application program developers and CAD/CAM system developers can be relieved from dealing with STEP physical file or system dependent DBMS operations. In this paper, we present implementations of SDAI on different data models, i.e., relational, extended relational, and object-oriented. In order to implement SDAI, we need to translate the EXPRESS information model into target data models. The schema translation process for three different data models are compared and other implementation issues are discussed.

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On the Optimal Decision Making in the Compensatory Models (보정모형에서의 최적 의사결정에 관한 연구)

  • Chung, Soon-Suk
    • Journal of the Korea Safety Management & Science
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    • v.8 no.4
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    • pp.205-218
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    • 2006
  • Multi-criteria decision making is deducing the relative importance in the criterion of decision making and each alternative which is able to making a variety of choices measures the preferred degree in the series of town ranking criterions. Moreover, this is possible by synthesizing them systematically. In general, a fundamental problem decision maker solve for multi-criteria decision making is evaluating a set of activities which an considered as the target logically, and this kind of work is evaluated and synthesized by various criterions of the value which a chain of activities usually hold in common. In this paper, we use the compensatory models for the optimal decision making. For the purpose of optimal decision making, the data of five different car models are used in Europe.