• 한국소음진동공학회논문집
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• 제19권11호
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• pp.1144-1150
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• 2009

Appropriate vibration model is required to predict in advance the vibration level of a large vehicle which carries sensitive electronic/mechanical equipments and drives often on the unpaved and/or off-road conditions. Central tire inflation system(CTIS) is recently adopted to improve the mobile operation of military and bulletproof vehicles. In this paper, full vehicle model(FVM) having 11 degrees of freedom and equipped with CTIS has been developed for a large vehicle which has $8\times8$ wheels$\times$driving wheels. Usability of the developed model is validated via road tests for three different modes (i.e. highway, country, and mud/sand/snow modes) and for various velocity conditions. The developed FVM can be used to predict the vibration level of the large vehicle as well as to determine the driving velocity criterion for different road conditions.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제16권7호
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• pp.2359-2376
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• 2022

With the exponential growth of medical image big data represented by high-resolution CT images(CTI), the high-resolution CTI data is of great importance for clinical research and diagnosis. The paper takes lung CTI as an example to study. Retrieving answer CTIs similar to the input one from the large-scale lung CTI database can effectively assist physicians to diagnose. Compared with the conventional content-based image retrieval(CBIR) methods, the CBIR for lung CTIs demands higher retrieval accuracy in both the contour shape and the internal details of the organ. In traditional supervised deep learning networks, the learning of the network relies on the labeling of CTIs which is a very time-consuming task. To address this issue, the paper proposes a Weakly Supervised Similarity Evaluation Network (WSSENet) for efficiently support similarity analysis of lung CTIs. We conducted extensive experiments to verify the effectiveness of the WSSENet based on which the CBIR is performed.

• 동의생리병리학회지
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• 제30권5호
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• pp.320-326
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• 2016

Tongue diagnosis is convenient and non-invasive method to examine the body's functional condition, and it has been frequently used in traditional Korean Medicine (KM). The aim of this study was to investigate the difference of the tongue color assessed by computerized tongue image analysis system (CTIS) between the common cold (CC) patients and healthy subjects. A total of 85 participants, including 45 CC patients without organic diseases and 40 healthy subjects, were asked to complete the CC symptom questionnaire. A tongue image was acquired by using CTIS. Color differences in Commission Internationale de l'Eclairage (CIE) L*, a* and b* between the CC patient group and the control group were analyzes by using paired t-test analysis. The variable CIE b* of the tongue body was significantly lower in CC than that in controls (P=0.019). The variable CIE L* of the tongue coating was significantly higher in CC than that in controls (P=0.032). In CC, the color of the tongue body seems to be changed to intense red color. The color of the tongue coating seems to be changed to thick fur. The present study demonstrated that the CTIS can be used as a diagnostic and monitoring tool for the objective and standardized evaluation of common cold in clinics.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제21권10호
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• pp.645-650
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• 2015

메모리 반도체 패키지 검사 공정에서 TIS(Tester Interface Software)는 디바이스가 검사 장비에 투입 될 때부터 배출될 때까지 검사 장비가 디바이스 검사를 진행하는데 필요한 모든 소프트웨어 기능을 제공한다. 하지만, 공정에서 사용되는 장비와 장비를 제어하기 위한 컴퓨터 및 운영체제의 종류가 다양하여 동일한 기능을 수행해야 하는 TIS가 테스터 장비마다 독립적으로 개발 및 운영되고 있다. 이는 많은 시간과 비용을 요구할 뿐만 아니라 소프트웨어의 품질에도 많은 영향을 미치고 있으며, 이러한 문제는 추가되는 장비의 종류가 증가할수록 심화될 것이다. 본 논문에서는 이러한 문제를 해결하기 위해 이종 장비와 운영체제에 적용 가능한 CTIS(Cross-platform Tester Interface Software)을 제안한다.

• 대한한방내과학회지
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• 제42권6호
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• pp.1199-1210
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• 2021

Objectives: The aim of this study was to analyze the correlation between patterns determined by pattern identification of functional dyspepsia (FD) and tongue features, including tongue coating and tooth marks, in FD patients. Methods: We reviewed the clinical records of 68 FD patients who visited the Department of Digestive Diseases of Kyung Hee University Korean Medicine Hospital from September 1, 2020 to August 31, 2021. The subjects were evaluated with a computerized tongue image acquisition system (CTIS) and by pattern identification of FD. Measurement included the percentage of tongue coating, tooth mark levels, and pattern scores. Results: Statistically significant negative correlations were noted between the scores of the pattern of 'spleen and stomach deficiency and cold' (SSDC) and the percentage of tongue coating in whole, center, and root of the tongue body. However, no other patterns were correlated with any parameter measured by CTIS. No significant difference was noted in the percentage of tongue coating and the tooth mark level between the patterns. Conclusions: This study demonstrated that the pattern of SSDC was significantly associated with the percentage of tongue coating. We suggest that the percentage of tongue coating could be a useful indicator for identifying the degree of patterning of SSDC in patients with FD.

• Structural Engineering and Mechanics
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• 제81권3호
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• pp.335-348
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• 2022

It is well known that after finding the displacement in the structural mechanics, strain and stress can be obtained in the straight-forward process. The main purpose of this paper is to unify the displacement functions for solving the solid body. By performing mathematical operations, three sets of these key relationships are found in this paper. All of them are written in the Cartesian Coordinates and in terms of a simple function. Both analytical and numerical approaches are utilized to validate the correctness of the presented formulations. Since all required conditions for the bodies with self-equilibrated loadings are satisfied accurately, the authors' relations can solve these kinds of problems. This fact is studied in-depth by solving some numerical examples. It is found that a very simple function can be used for each formulation instead of ten different and complex displacement potentials defined by previous studies.

• 대한한방내과학회지
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• 제36권3호
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• pp.348-360
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• 2015

Objectives From observing the tongue of a patient, one can assess the health status; this method has been frequently used in traditional Korean Medicine (KM) clinics. In particular, KM posits that the color of the tongue is highly related to digestive functions. In this study, the color of tongue and heart rate variability (HRV) were compared between chronic dyspepsia (CD) patients and healthy subjects. Methods Healthy subjects and CD patients with functional dyspepsia (FD), gastroesophageal reflux disease (GERD), or chronic gastritis (CG) were enrolled for the study. Profile view images of the tongue were acquired by using a computerized tongue image acquisition system (CTIS). The color of the tongue body was extracted from the non-coated region on the tongue images. Results Color differences in CIE L*a*b* color space between the three sub-types of CD patients and healthy subjects were analyzed by using multiple linear regression analysis with age and sex as the factors. The variable b* was significantly lower in GERD patients than in the controls (p=0.017). Variable a* was significantly lower in CG than in the controls (p=0.03). No significant difference was seen between FD and controls. In GERD, the tongue body seems to be intense red in color; in CG, pale red. Frequency domain analysis showed that HF was significantly lower in GERD patients than in the controls (p=0.041). Conclusions The color of the tongue body and HF of HRV can be used for diagnosing digestive functions in health care.

• 대한한방내과학회지
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• 제39권4호
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• pp.637-644
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• 2018

Objectives: In this study, the tongue features of patients with functional dyspepsia (FD) were compared with those of healthy controls. Methods: This prospective, case-control study was conducted on patients with FD and controls recruited at a single center. After screening, the subjects were allocated to the patient or control groups (patients=42, controls=40). Tongue images were acquired using a computerized tongue image acquisition system (CTIS). An independent t-test was conducted to compare the measurements from patients and controls. Binary logistic regression was performed to determine significant differences between the two groups after adjusting for age and sex. Results: The CIE $a^*$ color value in the tongue coating area was significantly lower in the patients with FD than in the controls (p=0.001). The tongue coating ratios were also significantly higher in the FD group than in the control group (p=0.003). We found that the CIE $a^*$ color value in the tongue coating area and the tongue coating ratios were significant predictive factors in both groups, based on binary regression analysis (p=0.016, 0.044, respectively). Conclusions: This study found that FD was significantly associated with CIE $a^*$ color value in the tongue coating area and tongue coating ratios. We suggest that these factors could be used as objective indicators of FD.

• 한국콘텐츠학회논문지
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• 제12권6호
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• pp.48-55
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• 2012

스마트폰이나 태블릿 PC와 같은 모바일 디바이스에 이용되는 디지털 콘텐츠 수가 IT 산업 발달과 함께 급속도로 증가하고 있다. 이와 함께 디지털 콘텐츠 관리 방법에 대한 연구도 활발히 진행되고 있다. 기존 연구에서 인터넷 불가능지역에서 모바일 디바이스간에 디지털 콘텐츠 활용 정보를 효율적으로 관리할 수 있는 CTI가 정의되었으며, 콘텐츠가 전달될 때 마다 생성되는 CTI에 대한 관리, 오버헤드 감소, 가능한 빠른 시간에 많은 CTI를 수집할 수 있는 기술 등과 같은 콘텐츠추적정보 관리 방법을 제안하였다. 본 논문는 콘텐츠추적정보 관리 방법을 검증하고, 성능을 분석할 수 있는 시뮬레이터를 설계, 구현하였다. 이 시뮬레이터는 인터넷 접근이 안되는 환경에서 모바일 디바이스의 이동에 따른 콘텐츠 이동을 가상으로 시뮬레이션하고, 콘텐츠추적정보 관리 방법에 대한 효율적인 동기화 오버헤드 감소와 여러 이점들을 검증하였다.

• 대한교통학회지
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• 제19권6호
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• pp.183-194
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• 2001

중앙집중형 도로교통정보시스템은 실시간 교통정보를 수집하고, 사용자의 요청을 받아 경로탐색, 위치정보, 목적지탐색 등의 정보를 전달해주는 시스템이다. 이러한 시스템에서 서버는 매우 많은 클라이언트로부터 경로탐색 요청을 받게 되며, 이 요청을 서버에서 효율적으로 처리해야 하는 다중경로탐색 알고리즘이 필요하다. 본 연구에서는 다중경로탐색을 수행하기 위하여, 주기적으로 연산된 이웃노드의 최단경로탐색 결과를 이용하여 클라이언트의 경로탐색 수행시간을 감소시키는 휴리스틱(Heuristic) 알고리즘을 제시한다. 본 연구에서 제시하는 이웃노드 최단경로탐색 결과를 이용한 다중경로탐색 알고리즘은 많은 경우에 최단과 동일한 결과를 나타내며, 최단이 아닌 경우에도 최단경로 값과 오차가 크지 않으면서도 연산시간을 많이 줄일 수 있는 알고리즘이고, 도로교통과 같은 토폴로지(Topology) 형태에 효과적으로 적용되고, 계층을 이루는 형태의 모델에서도 효율적인 결과를 나타낸다. 이웃노드 최단경로탐색 결과를 이용한 다중경로탐색 알고리즘의 경로탐색시간은 다른 꼬리표설정 알고리즘과 꼬리표개선 알고리즘보다 50배 이상 빨랐으며, 경로탐색 결과가 최단이 아닌 경우 0.1%이하의 거리오차가 발생했다.