• Journal of Technology Innovation
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• v.3 no.1
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• pp.213-236
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• 1995

Advanced Manufacturing Technology(AMT), a comprehensive collection of new technologies for the efficiency and flexibility of manufacturing systems has received a growing attention recently, AMT consists of various industrial and technological components, homogeneous in some aspects while heterogeneous in others. Thus, it is difficult but necessary task to construct a classification framework in which the relationship among individual technologies are depicted in a meaningful fashion. In this, paper, we propose a hierarchical framework in which the objective and criteria of classification are decomposed into three level: industrialization, development and application of AMT. At the first and highest level, the main interest is to "industrialize" AMT. The major actors at this level are policy makers(public sector) and top management(private sector) and the primary classification criterion is the interrelationship between industry and technology. At the middle level exist system engineers whose main objective is to "develop" new technologies and/or systematize individual technologies. At the final and bottom level, shop floor managers need to "apply" AMT in order to enhance the efficiency and flexibility of manufacturing process. It should be stressed that, as a whole, the above three levels should be interactively linked to that each level contributes to the balanced development of AMT.

• Korean Journal of Remote Sensing
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• v.25 no.3
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• pp.263-270
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• 2009

Noise band removal is a crucial step before spectral matching since the noise bands can distort the typical shape of spectral reflectance, leading to degradation on the matching results. This paper proposes a statistical noise band removal method for hyperspectral data using the correlation coefficient between two bands. The correlation coefficient measures the strength and direction of a linear relationship between two random variables. Considering each band of the hyperspectral data as a random variable, the correlation between two signal bands is high; existence of a noisy band will produce a low correlation due to ill-correlativeness and undirected ness. The unsupervised k-nearest neighbor clustering method is implemented in accordance with three well-accepted spectral matching measures, namely ED, SAM and SID in order to evaluate the validation of the proposed method. This paper also proposes a hierarchical scheme of combining those measures. Finally, a separability assessment based on the between-class and the within-class scatter matrices is followed to evaluate the applicability of the proposed noise band removal method. Also, the paper brings out a comparison for spectral matching measures. The experimental results conducted on a 228-band hyperspectral data show that while the SAM measure is rather resistant, the performance of SID measure is more sensitive to noise.

• Journal of IKEEE
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• v.23 no.2
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• pp.557-570
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• 2019

In this study, a novel hierarchical approach is investigated to extract coronary vessel from X-ray angiogram. First, we propose to combine Decimation-free Directional Filter Bank (DDFB) and Homographic Filtering (HF) in order to enhance X-ray coronary angiographic image for segmentation purposes. Because the blood vessel ensures that blood flows in only one direction on vessel branch, the DDFB filter is suitable to be used to enhance the vessels at different orientations and radius. In the combination with HF filter, our method can simultaneously normalize the brightness across the image and increases contrast. Next, a coarse-to-fine strategy for iterative segmentation based on Otsu algorithm is applied to extract the main coronary vessels in different sizes. Furthermore, we also propose a new approach to segment very small vessels. Specifically, based on information of the main extracted vessels, we introduce a new method to extract junctions on the vascular tree and level of nodes on the tree. Then, the window based segmentation is applied to locate and extract the small vessels. Experimental results on our coronary X-ray angiography dataset demonstrate that the proposed approach can outperform standard method and attain the accuracy of 71.34%.

• Child Health Nursing Research
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• v.27 no.1
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• pp.56-64
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• 2021

Purpose: This study investigated the practices of preventing infectious diseases by daycare center teachers. The focus was on the mediating effects of self-efficacy in the relationship between communication skills and practices of preventing infectious diseases. Methods: This study used a descriptive correlational design. The participants were 164 daycare center teachers. Hierarchical regression was used to test the mediating effect of self-efficacy in the relationship between communication skills and practices of preventing infectious diseases. Data were analyzed using the independent t-test, one-way analysis of variance, Pearson correlation coefficients, and hierarchical regression. The mediation effect was analyzed using an SPSS Macro program, PROCESS. Results: Significant relationships were found between communication skills and practices of preventing infectious diseases (β=.19, p<.001), self-efficacy and practices of preventing infectious diseases (β=.59, p<.001), and communication skills and self-efficacy (β=.27, p<.001). Self-efficacy had a significant mediating effect (β=.17, 95% confidence interval=0.07~0.29) on practices of preventing infectious diseases. Conclusion: In order to improve practices of preventing infectious diseases among daycare teachers, it is necessary to develop and apply interventions and methods that can increase effective communication skills and self-efficacy.

• Korea Journal of Hospital Management
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• v.26 no.1
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• pp.26-41
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• 2021

Purpose: This study is to identify the relationship among married nurses' social support, work-family conflict and work-family enrichment and to examine the influence of social support on work-family conflict and work-family enrichment. Methods: Data were collected from married nurses working at three hospitals with more than 100 beds in J Province and analyzed by descriptive statistics, t-test, ANOVA, Mann-Whitney U test, Kruskal-Wallis H test, Pearson's correlation analysis and hierarchical regression analysis using SPSS 21 program. Findings: In the correlation analysis only social support and work-family enrichment showed positive correlation. As a result of hierarchical multiple regression analysis, social support still acted as a significant influence factor on work-family conflict and work-family enrichment even in the state of considering the effect of control variables. Conclusion: In order to lower work-family conflict and to enhance work-family enrichment of married nurses, it is necessary to introduce and implement welfare policies for work-family reconciliation at the workplace level and at home level it is necessary to provide concrete measures so that married nurses can find the value of life as workers while house working and nurturing.

• Asia-Pacific Journal of Business
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• v.12 no.4
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• pp.241-251
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• 2021

Purpose - Drawing on the content-process approach, this study examines the effect of employees' perceived utility of education and training in small and medium enterprises (SMEs) on their satisfaction. In addition, this study investigates how the human resource management department' activities moderate the relationship between employees' perceived utility of education and training and satisfaction. Design/methodology/approach - This study predicts the positive relationship between employees' perceived utility of education and training and satisfaction, and HR activities strengthens this positive relationship. To test these hypotheses, this study utilized Human Capital Corporate Panel (HCCP) datasets, especially 2017 data at the individual level. The number of the final sample is 425 for the test. Moreover, this study used the hierarchical regression model with SPSS. Finding - As predicted, the analytical results with the hierarchical regression model showed that employees' percieved utility of education and training and satisfaction were positively related. In addition, HR activities strengthened this relationship between employees' percieved utility of education and training and satisfaction. Research implications or Originality - This study will provide academic and practical implications for future research on human resource development, especially SMEs by deepening an understanding of the important factors in order to increase employees' satisfaction of education and training. the number of viewers is found in most American films released in Korea.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.983-990
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• 2022

In this paper, we implemented a hierarchical encryption system using two-step phase-shifting digital holography(PSDH) technology based on XOR and scramble operations. The proposed encryption system is a system that authenticates access through the issuance of an encryption key for access to individual laboratories, department offices, and universities. In the encryption process, we proposed a double encryption method using XOR and scramble operation with digital technology and two-step phase-shifting digital holography with optical technology. In the two-step PSDH process, an new method of determining the reference wave intensity without measuring it by using random common object image gererated from digital encryption process was also proposed. In the decryption process, the process is performed in the reverse order of encryption process. And only when the various key information used in the encryption process is correct, the encrypted information can be decrypted, so that the user can access the desired place. That is, there is a feature that can hierarchically control the space that can be accessed according to the type of key issued in the proposed encryption system. Through the computer simulation, the feasibility of the proposed hierarchical encryption system was confirmed.

• International Journal of Computer Science & Network Security
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• v.23 no.9
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• pp.120-128
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• 2023

In this work, we have presented ATSA, a hierarchical attention deep learning model for Arabic sentiment analysis. ATSA was proposed by addressing several challenges and limitations that arise when applying the classical models to perform opinion mining in Arabic. Arabic-specific challenges including the morphological complexity and language sparsity were addressed by modeling semantic composition at the Arabic morphological analysis after performing tokenization. ATSA proposed to perform phrase-chunks sentiment embedding to provide a broader set of features that cover syntactic, semantic, and sentiment information. We used phrase structure parser to generate syntactic parse trees that are used as a reference for ATSA. This allowed modeling semantic and sentiment composition following the natural order in which words and phrase-chunks are combined in a sentence. The proposed model was evaluated on three Arabic corpora that correspond to different genres (newswire, online comments, and tweets) and different writing styles (MSA and dialectal Arabic). Experiments showed that each of the proposed contributions in ATSA was able to achieve significant improvement. The combination of all contributions, which makes up for the complete ATSA model, was able to improve the classification accuracy by 3% and 2% on Tweets and Hotel reviews datasets, respectively, compared to the existing models.

• Journal of East-West Nursing Research
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• v.29 no.1
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• pp.15-23
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• 2023

Purpose: The purpose of this study was to identify the effect of sleep quality, rehabilitation motivation, depression, and anxiety on quality of life in occupational accident patients. Methods: The participants were 138 patients who in and outpatient treatment at a hospital affiliated with the Korea Workers' Compensation and Welfare-service Hospital located in Daegu and Daejeon. Data were analyzed by independent t-test, ANOVA, Scheffé test, Pearson's correlation coefficients, and hierarchical multiple regression analysis using SPSS/WIN 25.0 program. Results: Quality of life had a significant negative correlation with sleep quality, depression, and anxiety, respectively, but had a significant positive correlation with rehabilitation motivation. Hierarchical multiple regression analysis showed that anxiety was a major factor affecting the quality of life of occupational accident patients. Anxiety showed 42.7% of explanatory power for the quality of life of occupational accident patients. Conclusion: Based on the results of this study, in order to improve the quality of life of patients with occupational accidents, psychological interventions for anxiety should be provided first in the early stage of treatment.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2023.05a
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• pp.106-107
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• 2023

The purpose of this study is to derive priorities for the introduction of smart port technology by utilizing domestic and foreign prior research and AHP analysis to establish an automated pier at Gwangyang Port. In order to establish a hierarchical structure for smart port technology, R& D tasks, roadmaps, and literature related to domestic and foreign smart port technology were investigated to select two first-tier and six second-tier attributes and determine the hierarchical structure. ‥‥(중략)‥‥