• Journal of Korea Multimedia Society
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• v.18 no.10
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• pp.1205-1215
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• 2015

Efficient multi-view coding techniques are needed to reduce the complexity of multi-view video which increases in proportion to the number of cameras. To reduce the complexity and maintain image quality and bit-rates, an motion estimation method and temporal prediction structure are proposed in this paper. The proposed motion estimation method exploits the characteristic of motion vector distribution and the motion direction and motion size of the block to place search points and decide the search patten adaptively. And the proposed prediction structure divides every GOP to decide the maximum index of hierarchical B layer and the number of pictures of each B layer. Experiment results show that the complexity reduction of the proposed temporal prediction structure and motion estimation method over hierarchical B pictures prediction structure and TZ search method which are used in JMVC(Joint Multi-view Video Coding) reference model can be up to 45∼70% while maintaining similar video quality and bit rates.

• International Journal of Highway Engineering
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• v.17 no.3
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• pp.13-25
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• 2015

PURPOSES : This paper aims at the implementation of a balanced scorecard that can be widely applied to modern business management for use in the public road management sector. METHODS : This study applied the newly developed LOS-based balanced scorecard system instead of a traditional Key Performance Index (KPI) for better decision making in asset management planning. As an evaluation technique, a" hierarchical alignment and cascading method" is also suggested. Finally, the suggested system has been empirically applied to a regional government. RESULTS : To provide stable and sustainable road services, the balanced scorecard informs the regional government of needed improvements in its asset management plans regarding budget optimization, structural management, the development of inner-business processes, and human resources. CONCLUSIONS : An LOS-based balanced scorecard for managing road services and organizations in a quantitative manner has been successfully developed and tested through a field study. The developed scorecard is a timely topic and a useful analytical tool for coping with the new phases of an aging infrastructure, tighter budgets, and demand for greater public accountability.

• Journal of Navigation and Port Research
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• v.45 no.2
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• pp.54-60
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• 2021

The aim of this study is to determine the critical factors and construction requirements for a new deep-water seaport system in the Lach Huyen area in northern Vietnam. In this study, the Analytic Hierarchical Process (AHP ) method was used to evaluate the importance of the criteria and subcriteria. The results were as follows: the principal criterion "geographical location (0.151)" ranked as the most important criterion for building a new deep-water port system, which is affected by the subcriteria "direct sea route with mega-vessel" and "good liner connectivity index". The principal criterion "port competency (0.145)" ranked second; thus, it can be concluded that good competitiveness of a port' will provide many benefits to the port and the region. Regarding the implication, the established evaluation framework can be used for port construction to make a more reasonable judgment. In a future study, the scope of evaluation factors should be widened, involving participation of broader stakeholders, such as shipping companies, forwarders, and logistics companies.

• Communications for Statistical Applications and Methods
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• v.29 no.5
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• pp.547-559
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• 2022

For a chi-squared test, which is a statistical method used to test the independence of a contingency table of two factors, the expected frequency of each cell must be greater than 5. The percentage of cells with an expected frequency below 5 must be less than 20% of all cells. However, there are many cases in which the regional expected frequency is below 5 in general small area studies. Even in large-scale surveys, it is difficult to forecast the expected frequency to be greater than 5 when there is small area estimation with subgroup analysis. Another statistical method to test independence is to use the Bayes factor, but since there is a high ratio of data dependency due to the nature of the Bayesian approach, the low expected frequency tends to decrease the precision of the test results. To overcome these limitations, we will borrow information from areas with similar characteristics and pool the data statistically to propose a pooled Bayes test of independence in target areas. Jo et al. (2021) suggested hierarchical Bayesian pooling models for small area estimation of categorical data, and we will introduce the pooled Bayes factors calculated by expanding their restricted pooling model. We applied the pooled Bayes factors using bone mineral density and body mass index data from the Third National Health and Nutrition Examination Survey conducted in the United States and compared them with chi-squared tests often used in tests of independence.

• Journal of Hospice and Palliative Care
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• v.25 no.4
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• pp.169-177
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• 2022

Purpose: The aim of this study was to examine the influence of spirituality and job satisfaction on the compassion competence of hospice nurses. Methods: This was a cross-sectional study of 118 hospice nurses from 16 hospitals in Daejeon, Chungcheong Province, and Jeolla Province. A self-administered survey was conducted using a structured questionnaire including the Spirituality Scale, Index of Work Satisfaction, the Compassion Competence Scale for Nurses, and general socio-demographic information. The data were analyzed using descriptive statistics, the t-test, Pearson correlation coefficients, and hierarchical linear regression analysis using SPSS for Windows version 26.0. Results: Compassion competence was correlated with spirituality (r=0.66, P＜0.001) and job satisfaction (r=0.52, P＜0.001), and spirituality was correlated with job satisfaction (r=0.44, P＜0.001). Spirituality (β=0.513, P＜0.001) and job satisfaction (β=0.273, P＜0.001) were significant factors affecting the compassion competence of hospice nurses, after adjusting for the sociodemographic and work-related covariates. The step-by-step results from hierarchical linear regression analysis also indicated that spirituality had a stronger impact than job satisfaction on compassion competence. Conclusion: Our findings demonstrate the importance of spirituality, which plays a role in guiding the compassion competence of hospice nurses. It is necessary to support the spirituality and job satisfaction of hospice nurses, which could facilitate their compassion competence and thereby contribute to improving the quality of hospice and palliative care.

• 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.

• Journal of Korea Multimedia Society
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• v.15 no.9
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• pp.1093-1101
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• 2012

Multi-view video is obtained by capturing one three-dimensional scene with many cameras at different positions. Multi-view video coding exploits inter-view correlations among pictures of neighboring views and temporal correlations among pictures of the same view. Multi-view video coding which uses many cameras requires a method to reduce the computational complexity. In this paper, we proposed an efficient prediction structure to improve performance of multi-view video coding. 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 small groups to decide the maximum index of hierarchical B layer and the number of pictures of each B layer. Experimental results show that the proposed prediction structure shows good performance in image quality and bit-rates. When compared to the performance of hierarchical B pictures of Fraunhofer-HHI, the proposed prediction structure achieved 0.07~0.13 (dB) of PSNR gain and was down by 6.5(Kbps) in bitrate.

• Journal of Internet Computing and Services
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• v.6 no.2
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• pp.59-68
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• 2005

In this paper, for compression and transmission of 3D image, we propose an algorithm which executes 3D discrete cosine transform(DCT) for 3D images, hierarchically segments 3D blocks of an image in comparison with the original image and executes finite-state vector quantization(FSVQ) for each 3D block. Using 3D DCT coefficient feature, a 3D image is segmented hierarchically into large smooth blocks and small edge blocks, then the block hierarchy informations are transmitted. The codebooks are constructed for each hierarchical blocks respectively, the encoder transmits codeword index using FSVQ for reducing encoded bit with hierarchical segmentation information. The new algorithm suggested in this paper shows that the quality of Small Lobster and Head image increased by 1,91 dB and 1.47 dB respectively compared with those of HFSVQ.

• Journal of Digital Convergence
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• v.13 no.9
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• pp.479-487
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• 2015

The purpose of this study was to examine the factors affecting Obesity-Stress among women in their twenties. The research design for this study was a descriptive survey design using a convenience sampling. Data collection was done using self-report questionnaires with 216 women located in M city. Pearson correlation coefficients and Hierarchical multiple regression with the SPSS Win 18.0 Program were used to analyze the data. In the hierarchical multiple regression analysis, Perceived body shape and BMI significantly predicted. A result of examining the correlation between stress and obesity Stress and the variables, Appearance Orientation,(r=.386, p=<.001) Self-Esteem(r=.324, p=<.001) Body Evaluation(r=-453, p=<.001), Body Appearance Satisfaction(r=-.560, p=<.001). hierarchical multiple regression step 3 shows that variables explained 54.1%. As a result on the basis of, This will require a variety of training programs provided in order to reduce obesity stress.

• Journal of Convergence for Information Technology
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• v.9 no.7
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• pp.135-144
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• 2019

This study was conducted in order to be applied to basic data for enhancing dental hygienists' retention intention. Data analysis was carried out a univariate analysis and a hierarchical regression analysis over 3 stages by using SPSS version 19.0. The dental hygienists' retention intention showed a high outcome in case of the married(p<.001), in the more positive emotion(p<.001), in the lower frequency of emotional expression(p=.010), in the higher happiness index with life satisfaction(p<.001) and in the higher psychological happiness index(p=.012). The dental hygienists' emotion, emotional labor and happiness index need to be recognized as important relevant factors for increasing retention intention.