• Title/Summary/Keyword: Model Translation

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A Study on the Weight Tare of an Internal Balance Including Translation of the Initial Loads (초기하중 전이를 고려한 내장형 밸런스의 WEIGHT TARE 연구)

  • Oh, Se-Yoon;Ahn, Seung-Ki
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.31 no.9
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    • pp.9-17
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    • 2003
  • In this paper, the weight tare calculation method including translation of initial loads is proposed to remove the internal balance component readings due to model weight. If the balance calibration equations are applied directly to the wind-on data without taking account these initial loads, then incorrect data will be obtained for all wind-on data calculations. The calculated model weights were compared with the actual model weights to verify the reliability of the proposed calculation technique. Also, discussions of the effects of the initial loads are given.

Stereo Images-Based Real-time Object Tracking Using Active Feature Model (능동 특징점 모델을 이용한 스테레오 영상 기반의 실시간 객체 추적)

  • Park, Min-Gyu;Jang, Jong-Whan
    • The KIPS Transactions:PartB
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    • v.16B no.2
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    • pp.109-116
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    • 2009
  • In this thesis, an object tracking method based on the active feature model and the optical flow in stereo images is proposed. We acquired the translation information of object of interest and the features of object by utilizing the geometric information and depth of stereo images. Tracking performance is improved for the occlude object with this information by predicting the movement information of features of the occlude object. Rigid and non-rigid objects are experimented. From the result of experiment, the OOI can be real-time tracked from complicate back ground. Besides, we got the improved result of object tracking in any occlusion state, no matter what it is rigid or non-rigid object.

Illumination Robust Face Recognition using Ridge Regressive Bilinear Models (Ridge Regressive Bilinear Model을 이용한 조명 변화에 강인한 얼굴 인식)

  • Shin, Dong-Su;Kim, Dai-Jin;Bang, Sung-Yang
    • Journal of KIISE:Software and Applications
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    • v.34 no.1
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    • pp.70-78
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    • 2007
  • The performance of face recognition is greatly affected by the illumination effect because intra-person variation under different lighting conditions can be much bigger than the inter-person variation. In this paper, we propose an illumination robust face recognition by separating identity factor and illumination factor using the symmetric bilinear models. The translation procedure in the bilinear model requires a repetitive computation of matrix inverse operation to reach the identity and illumination factors. Sometimes, this computation may result in a nonconvergent case when the observation has an noisy information. To alleviate this situation, we suggest a ridge regressive bilinear model that combines the ridge regression into the bilinear model. This combination provides some advantages: it makes the bilinear model more stable by shrinking the range of identity and illumination factors appropriately, and it improves the recognition performance by reducing the insignificant factors effectively. Experiment results show that the ridge regressive bilinear model outperforms significantly other existing methods such as the eigenface, quotient image, and the bilinear model in terms of the recognition rate under a variety of illuminations.

Sign Language Translation Using Deep Convolutional Neural Networks

  • Abiyev, Rahib H.;Arslan, Murat;Idoko, John Bush
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.2
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    • pp.631-653
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    • 2020
  • Sign language is a natural, visually oriented and non-verbal communication channel between people that facilitates communication through facial/bodily expressions, postures and a set of gestures. It is basically used for communication with people who are deaf or hard of hearing. In order to understand such communication quickly and accurately, the design of a successful sign language translation system is considered in this paper. The proposed system includes object detection and classification stages. Firstly, Single Shot Multi Box Detection (SSD) architecture is utilized for hand detection, then a deep learning structure based on the Inception v3 plus Support Vector Machine (SVM) that combines feature extraction and classification stages is proposed to constructively translate the detected hand gestures. A sign language fingerspelling dataset is used for the design of the proposed model. The obtained results and comparative analysis demonstrate the efficiency of using the proposed hybrid structure in sign language translation.

Cross-cultural Validation of Instruments Measuring Health Beliefs about Colorectal Cancer Screening among Korean Americans

  • Lee, Shin-Young;Lee, Eunice E.
    • Journal of Korean Academy of Nursing
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    • v.45 no.1
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    • pp.129-138
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    • 2015
  • Purpose: The purpose of this study was to report the instrument modification and validation processes to make existing health belief model scales culturally appropriate for Korean Americans (KAs) regarding colorectal cancer (CRC) screening utilization. Methods: Instrument translation, individual interviews using cognitive interviewing, and expert reviews were conducted during the instrument modification phase, and a pilot test and a cross-sectional survey were conducted during the instrument validation phase. Data analyses of the cross-sectional survey included internal consistency and construct validity using exploratory and confirmatory factor analysis. Results: The main issues identified during the instrument modification phase were (a) cultural and linguistic translation issues and (b) newly developed items reflecting Korean cultural barriers. Cross-sectional survey analyses during the instrument validation phase revealed that all scales demonstrate good internal consistency reliability (Cronbach's alpha=.72~.88). Exploratory factor analysis showed that susceptibility and severity loaded on the same factor, which may indicate a threat variable. Items with low factor loadings in the confirmatory factor analysis may relate to (a) lack of knowledge about fecal occult blood testing and (b) multiple dimensions of the subscales. Conclusion: Methodological, sequential processes of instrument modification and validation, including translation, individual interviews, expert reviews, pilot testing and a cross-sectional survey, were provided in this study. The findings indicate that existing instruments need to be examined for CRC screening research involving KAs.

Study on Translators' Acceptance of Machine Translation (전문번역사들의 기계번역 수용에 관한 연구)

  • Chun, Jong-Sung
    • Journal of the Korea Convergence Society
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    • v.11 no.6
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    • pp.281-288
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    • 2020
  • This study delves into acceptance on neural network machine translation (NMT) such as Google Translate and Papago that uses technical acceptance model. In conclusion, it turned out that perceived usefulness impacts translators' attitude towards NMT. In other words, if translators determine that NMT is related to their work and the quality of the deliverables is guaranteed, they were more positive towards it. Unlike the existing normative approach that translators feel threatened by NMT, empirical results tell us translators perceive NMT as a business tool and such perception was largely influenced by advices of their colleagues and friends and expectations for use.

On Design and Implementation of Distributed Objects Translation System for Inter-Operability (분산 객체의 호환을 위한 객체 번역 시스템의 설계 및 구현)

  • Kim, Sik
    • The Journal of Information Technology
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    • v.5 no.1
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    • pp.29-37
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    • 2002
  • Distributed programming can be greatly simplified by language support for distributed communication. Many web browsers now offer some form of distributed objects and the number and types of them are growing daily in interesting and innovative ways CORBA IDL and Java RMI, the representative of distributed object model, support different approaches for distributed computing environments. CORBA approach does not support the application generated by java RMI, even though it supports multiple programming languages. Object translation system between RMI to CORBA is designed and implemented for interoperability of distributed objects on the two different distributed programming environments. Suggested system is considered binding, inheritance, polymorphism, object passing, and callback which are key properties on the distributed objects. Translation System we suggested is implemented on the Window/NT(version 4.0) with Java Development Kit(version 1.1.6).

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Rossby Waves and Beta Gyre Associated with Tropical Cyclone-scale Barotropic Vortex on the Sphere

  • Nam, Ye-Jin;Cheong, Hyeong-Bin
    • Journal of the Korean earth science society
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    • v.41 no.4
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    • pp.344-355
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    • 2020
  • Tropical cyclone scale vortices and associated Rossby waves were investigated numerically using high-resolution barotropic models on the global domain. The equations of the barotropic model were discretized using the spectral transform method with the spherical harmonics function as orthogonal basis. The initial condition of the vortex was specified as an axisymmetric flow in the gradient wind balance, and four types of basic zonal states were employed. Vortex tracks showed similar patterns as those on the beta-plane but exhibited more eastward displacement as they moved northward. The zonal-mean flow appeared to control not only the west-east translation but also the meridional translation of the vortex. Such a meridional influence was revealed to be associated with the beta gyre and the Rossby wave, which are formed around the vortex due to the beta effect. In the case of the basic zonal state of climatological mean, the meridional translation speed reached the maximum value when the vortex underwent recurving.

Translation utilizing Dynamic Structure from Recursive Procedure & Function in C to VHDL (C의 재귀 호출로부터 동적 구조를 활용한 VHDL로의 변환)

  • Hong, Seung-Wan;Lee, Jeong-A
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.10
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    • pp.3247-3261
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    • 2000
  • In recent years, as the complexity of signal processmg systems Increases, the needs for dcslgners to mlx up hardware-part and software-part grow more and more considering both performance and cost There exist many algorilhms In C for vanous Signal processung apphcations. We have to translate the algonlhm C to hardware descnptlon language(HDL), If portion or the algonlhm needs to be unplcmenled in hardwarc pari of the syslcm. For this translation. it's dtfftcult to handle dynamic memory allocalion, function calls, pointer manipoJalion. This research shows a design method for a hardware model about recursive calls which was classified into software part of the system previously [or the translation from C to VHDL. The benefits of havlIlg recursive calls m hardware structure can be quite high since provides flexbility in hardware/software partitioming in codesign sysem.

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Implementation and Translation of Major OpenMP Directives for Chip Multiprocessor without using OS (단일 칩 다중 프로세서상에서 운영체제를 사용하지 않은 OpenMP 구현 및 주요 디렉티브 변환)

  • Jeun, Woo-Chul;Ha, Soon-Hoi
    • Journal of KIISE:Computer Systems and Theory
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    • v.34 no.4
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    • pp.145-157
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    • 2007
  • OpenMP is an attractive parallel programming model for a chip multiprocessor because there is no standard parallel programming method for a chip multiprocessor and it is easy to write a parallel program in OpenMP. Then, chip multiprocessor systems can have various architectures according to target application programs. So, we need to implement OpenMP in different way for each system. In this paper, we propose the implementation and the effective translation of major OpenMP directives for a chip multiprocessor without using OS to improve the performance without using special hardware and without extending the OpenMP directives. We present the experimental results on our target platform CT3400.