• 제목/요약/키워드: Smooth index

검색결과 107건 처리시간 0.023초

가변 길이 자료 은닉이 가능한 이미지 스테가노그래픽 방법 연구 (Image Steganographic Method using Variable Length for Data Embedding)

  • 정기현
    • 한국군사과학기술학회지
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    • 제11권3호
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    • pp.115-122
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    • 2008
  • Wu and Tsai's pixel-value differencing method and Chang and Tseng's side-match method are based on the theory that the number of bits which can be embedded is determined by the degree of the pixel's smoothness, or its proximity to the edge of the image. If pixels are located in the edge area, they may tolerate larger changes than those in smooth areas. However, both methods are subject to the fall off the boundary problem(FOBP). This study proposes a new scheme that can solve the FOBP. The experimental results demonstrate that the proposed method resolves the problem, and achieves a higher image quality index value than other methods.

병원급식 식기세정 작업원의 직무만족도에 영향을 미치는 요인 (Factors Affecting the Dishwashing Workers′ Job Satisfaction in Hospital Foodservice Systems)

  • 박정순
    • 한국식품조리과학회지
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    • 제13권4호
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    • pp.402-409
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    • 1997
  • Understanding the satisfaction and dissatisfaction of employees has been deemed important for smooth and efficient food service management. The aim of this study was to examine the relationship between the dishwashing employees' job satisfaction and the operational and managerial factors in hospital foodservice systems. A survey of twenty conventional hospital food service systems was undertaken and detailed information was collected from 280 dishwashing employees through mailed questionnaires. Dishwashing employees' satisfaction was evaluated by measuring their job attitudes towards four aspects of their job using the modified Job Description Index (JDI). Descriptive analysis and Pearson product moment correlation analysis were used to analyze the data. The dishwashing workers were found to be more satisfied with their interpersonal relations with co-workers than with work content, pay or promotional opportunities. The demographic variables including education, type of employment and work experience were significantly related to job satisfaction. As the ratio of supervisors to dishwashing workers increased, the degree of satisfaction in dishwashing workers increased significantly.

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이족보형로봇의 전체 보행구간에서의 균형점 궤적 생성에 관한 연구 (A study on the ZMP Trajectory generation in multi step walking of IWR-III Biped Walking Robot)

  • 구자혁;최영하;최상호;김진걸
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 추계학술대회 논문집 학회본부 B
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    • pp.546-548
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    • 1998
  • This paper deals with ZMP trajectory generation in multi step walking of IWR-III(Inha Walking Robot) Biped Walking Robot. Biped walking is realized by combining 6-types of pre-defined steps and the actual ZMP can be used as a stability index of a robot. For the good tracking of actual ZMP, desired ZMP trajectory is generated during the whole walking time not for each step. Trajectory generation is performed considering velocities and accelerations of given via points using 5-th order polynomial interpolation method. As a result, balancing joints have a more smooth and continuous motion and actual ZMP has a better tracking ability. Numerical simulator is done by MATLAB to guarantee the walking of a robot satisfying the ZMP stability.

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Modified Airy Function Method Applied to Optical Waveguides and Quantum Tunneling: A Critical Analysis

  • Lee, Ki-Young;Kim, Chul Han;Park, Dongwook;Kim, Chang-Min
    • Journal of the Optical Society of Korea
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    • 제19권2호
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    • pp.188-198
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    • 2015
  • The validity of applying the Modified Airy Function (MAF) method to the problems of graded-index optical waveguides and graded potential barrier analysis was critically examined. In the former case, the method yielded very accurate results from the derived eigenvalue equations. In the latter case, however, the same method produced results that deviated significantly from exact numerical results for barriers with a smooth peak. The causes of the discrepancies were investigated in detail.

DCT와 블록 계층 분할 유한상태 벡터 양자화를 이용한 영상 부호화 (Image Coding Using DCT and Block Hierarchical Segmentation Finite-State Vector Quantization)

  • 조성환;김응성
    • 한국정보처리학회논문지
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    • 제7권3호
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    • pp.1013-1020
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    • 2000
  • In this paper, we propose an algorithm which segments hierarchically blocks of image using discrete cosine transform(DCT) and execute finite-state vector quantization (FSVQ) for each block. Using DCT coefficient feature, image is segmented hierarchically to large smooth block and small edge block, then the block hierarchy informations are transmitted. The codebooks are respectively constructed for each hierarchical blocks, the encoder transmits codeword index using FSVQ for reducing encoded bit with hierarchical segmentation. Compared with side match VQ(SMVQ) and hierarchical FSVQ(HFSVQ) algorithm, about Zelda and Boat image, the new algorithm shows better picture quality with 1.97dB and 2.85 dB difference as to SMVQ, 1.78dB and 1.85dB diffences as to HFSVQ respectively.

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Multi-Dimensional Selection Method of Port Logistics Location Based on Entropy Weight Method

  • Ruiwei Guo
    • Journal of Information Processing Systems
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    • 제19권4호
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    • pp.407-416
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    • 2023
  • In order to effectively relieve the traffic pressure of the city, ensure the smooth flow of freight and promote the development of the logistics industry, the selection of appropriate port logistics location is the basis of giving full play to the port logistics function. In order to better realize the selection of port logistics, this paper adopts the entropy weight method to set up a multi-dimensional evaluation index, and constructs the evaluation model of port logistics location. Then through the actual case, from the environmental dimension and economic competition dimension to make choices and analysis. The results show that port d has the largest logistics competitiveness and the highest relative proximity among the three indicators of hinterland city economic activity, hinterland economic structure, and port operation capacity of different port logistics locations, which has absolute advantages. It is hoped that the research results can provide a reference for the multi-dimensional selection of port logistics site selections.

물가변동조정 사례분석을 통한 지수조정방법기반 계약금액조정 합리화방안 (The Rationalization of Contract Sum Adjustment through Case Study of Price Fluctuation Adjustment based on Index Adjustment Method)

  • 김성희
    • 한국건설관리학회논문집
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    • 제12권4호
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    • pp.70-78
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    • 2011
  • 장기간에 걸쳐 진행되는 건설공사의 경우 공사수행기간동안 물가의 변동으로 인해 계약금액조정이 필요하며, 이를 적용하는 과정에서 일관되고 명확한 구체적 기준안이 요구되고 있다. 이에 본 연구는 물가변동이 발생되어 조정행위로 이어지기까지의 적용과정상 발생되는 핵심활동을 기반으로 실 사례를 통해 문제점을 파악하고 이에 따른 합리적 개선방안을 찾고자 하였다. 문헌연구 및 관련제도분석을 토대로 물가변동 조정행위의 적용 프로세스를 구분하였고 프로세스별 핵심활동 20개를 정의하였다. 이를 측정변수화 하여 37개의 물가변동 사례를 통해 사례분석을 실시하였다. 사례분석결과 각 프로세스별 문제점이 도출되었으며, 이에 대응하는 합리적 개선방안을 제시하였다. 본 연구를 통하여 발주자는 불필요하게 지급될 수 있는 예산의 낭비를 막을 수 있고, 계약상대자에게는 원활한 물가변동조정행위가 될 수 있는 기회가 제공되리라 기대한다.

재활의학과 진료비 비중에 따른 병원 재무지표 비교연구 (A Comparative Study on the Financial Index of Hospital in accordance with the Weight of Medical Treatment Fee for the Rehabilitative Medicine Department)

  • 오창석;정구진;박보경;배성권
    • 보건의료산업학회지
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    • 제1권1호
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    • pp.125-137
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    • 2007
  • The current hospital industry is showing relatively low profitability in comparison with other industries due to the low medical fees and high costs. Therefore, our government presented the direction of improvement through model execution and support of the specialized hospitals. However, it is estimated that the specialized hospitals also will show differentiated management performances in accordance with their specialized fields due to the characteristics of medical treatment. Therefore, this study had attempted an analysis on the financial index in accordance with the weight of medical treatment items for the rehabilitative medicine department among the whole hospital groups through getting out of analyzing financial indices of individual hospitals centered at their costs. For this p개pose, this study had carried out its research by partially reciting the study on the plan for utilizing participations of private health resources to expand rehabilitative medicine services into the private people of the Korea Health Industry Development Institute(KHIDI). As its results, it was shown that the stability, profitability, activity and productivity of hospitals with high weight of medical treatment for the rehabilitative medicine department were lower than those for the general hospitals. To support smooth operations of these hospitals 'with high weight of medical treatment for the rehabilitative medicine department or of specialized rehabilitation hospitals, it is judged that the plan such as the support for hospital management fund and the additional recognition on the rehabilitative fees, etc. together with the actualization of medical fees must be provided for the institutions which are providing rehabilitative medical services more than the fixed percentage and being equipped with the sufficient medical equipment and personnel to do them.

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클라우드 기반 인체측정 데이터 모니터링 시스템 (Cloud-based anthropometric data monitoring system)

  • 전성우;한혜동;김정은;정회경
    • 한국정보통신학회논문지
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    • 제24권9호
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    • pp.1209-1214
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    • 2020
  • 최근 고령화 시대가 되면서 사람들의 건강한 삶에 관한 관심이 높아지고 있다. 사람들은 잘못된 생활, 식습관, 신체활동 저하 등으로 인하여 성인병을 유발하거나 비만 인구수가 증가하고 있다. 이에 정보통신 분야에서 의료분야 정보를 활용하여 피부 미용 연구가 진행되고 있다. 기존의 시스템들은 다양한 관련 측정 항목들에 대해 결합하여 표현되지 않아서 원활한 정보를 제공받지 못하였다. 본 논문에서 제안하는 시스템은 3D 스캐너와 피부미용기기를 사용하여 사용자의 체형을 스캔하고, 3D 이미지 데이터를 사용하여 BMI(Body Mass Index) 지수를 계산하고 수집된 데이터를 한눈에 볼 수 있는 웹 서비스 시스템을 제공한다. 이는 지속적인 신체 변화 데이터를 비교하여 제공하므로 관리되는 내용을 사용자에게 제공하게 될 것이다. 이는 다양한 U-헬스 및 미용분야에서 널리 활용될 것으로 사료된다.

Damage detection in structures using modal curvatures gapped smoothing method and deep learning

  • Nguyen, Duong Huong;Bui-Tien, T.;Roeck, Guido De;Wahab, Magd Abdel
    • Structural Engineering and Mechanics
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    • 제77권1호
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    • pp.47-56
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    • 2021
  • This paper deals with damage detection using a Gapped Smoothing Method (GSM) combined with deep learning. Convolutional Neural Network (CNN) is a model of deep learning. CNN has an input layer, an output layer, and a number of hidden layers that consist of convolutional layers. The input layer is a tensor with shape (number of images) × (image width) × (image height) × (image depth). An activation function is applied each time to this tensor passing through a hidden layer and the last layer is the fully connected layer. After the fully connected layer, the output layer, which is the final layer, is predicted by CNN. In this paper, a complete machine learning system is introduced. The training data was taken from a Finite Element (FE) model. The input images are the contour plots of curvature gapped smooth damage index. A free-free beam is used as a case study. In the first step, the FE model of the beam was used to generate data. The collected data were then divided into two parts, i.e. 70% for training and 30% for validation. In the second step, the proposed CNN was trained using training data and then validated using available data. Furthermore, a vibration experiment on steel damaged beam in free-free support condition was carried out in the laboratory to test the method. A total number of 15 accelerometers were set up to measure the mode shapes and calculate the curvature gapped smooth of the damaged beam. Two scenarios were introduced with different severities of the damage. The results showed that the trained CNN was successful in detecting the location as well as the severity of the damage in the experimental damaged beam.