• Journal of Digital Convergence
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• v.9 no.1
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• pp.37-49
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• 2011

The purpose of this study is to develop a new equipment acceptance model in the industrial market and test it empirically using a field survey. To define new equipment acceptance factors of employees in the organization, we used the TAM as a useful model to analyze the acceptance process of new equipment. All of the data for the TAM were collected from the employees. Prior research studied the usage of general information technology using a computer and particular software, while we apply the TAM to the new equipment adoption. In this study, both theoretical review and empirical study were conducted and the model was set through the theoretical study which was tested through the empirical analysis. Management support and training/education were shown to have a positive effect on PU and PEOU. Personal innovativeness, management support, perceived usefulness and perceived ease of use were shown to have a positive effect on behavioral intention.

• Environmental Engineering Research
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• v.24 no.4
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• pp.559-565
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• 2019

In order to alleviate the environmental pressure caused by production process of thermal power plants, the application of cleaner production is imperative. To estimate the implementation effects of cleaner production in thermal plants and optimize the strategy duly, it is of great significance to take a comprehensive evaluation for sustainable development. In this paper, a hybrid model that integrated the analytic hierarchy process (AHP) with least squares support vector machine (LSSVM) algorithm optimized by grid search (GS) algorithm is proposed. Based on the establishment of the evaluation index system, AHP is employed to pre-process the data and GS is introduced to optimize the parameters in LSSVM, which can avoid the randomness and inaccuracy of parameters' setting. The results demonstrate that the combined model is able to be employed in the comprehensive evaluation of the cleaner production in the thermal power plants.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.3
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• pp.390-396
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• 2007

Fuzzy-CBR Collision Avoidance Support System is a system that finds a solution from past knowledge retrieved from the database and adapted to a new situation. Its algorithm has resulted to an adapting a solution for a new situation. However, ontology is needed in identifying concepts, relations and instances that are involved in a situation in order to improve and facilitate the efficient retrieval of similar cases from the CBR database. This paper proposes the way to apply ontology for identifying the concepts involved in a new environment and use them as inputs, for a ship collision avoidance support system., Similarity will be obtained through document articulation and using abstraction levels. A conceptual model of a maneuvering situation will be built using these ontologies.

• Journal of Information Processing Systems
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• v.8 no.2
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• pp.301-314
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• 2012

In this paper, two new approaches to align English-Arabic sentences in bilingual parallel corpora based on the Multi-Class Support Vector Machine (MSVM) and the Hidden Markov Model (HMM) classifiers are presented. A feature vector is extracted from the text pair that is under consideration. This vector contains text features such as length, punctuation score, and cognate score values. A set of manually prepared training data was assigned to train the Multi-Class Support Vector Machine and Hidden Markov Model. Another set of data was used for testing. The results of the MSVM and HMM outperform the results of the length based approach. Moreover these new approaches are valid for any language pairs and are quite flexible since the feature vector may contain less, more, or different features, such as a lexical matching feature and Hanzi characters in Japanese-Chinese texts, than the ones used in the current research.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.201-203
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• 2019

Apps and games continue to grow in size as new content comes and compete on Google Play. As apps and games grow in size, app installs through the Google Play store are decreasing. The article talks about the structure and limitations of the existing support model, APK, and discusses the new support model, the Android App Bundle (AAB) structure. We will also look into future prospects.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.12 no.3
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• pp.437-445
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• 1999

This paper presents a simple modification technique of finite element model for dynamic analysis of linear/nonlinear structural system subjected to multiple support excitation. For the sake of verification of the proposed method, dynamic responses obtained by the present technique for a couple of linear and nonlinear structural systems were compared with those by a general-purpose structural analysis software which can deal with the multi-support analysis. The method presented in this paper is expected to be used for multiple support excitation analysis by means of a computer code without the capability of modeling the non-synchronous support motion.

• Geomechanics and Engineering
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• v.11 no.2
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• pp.177-195
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• 2016

To secure the stability of geotechnical infrastructures and minimize failures during the construction process, a number of support systems have been introduced in the last several decades. In particular, stabilization methods using steel bars have been widely used in the field of geotechnical engineering. Rock bolt system is representative support system using steel bars. Pre-stressing has been applied to enhance reinforcement performance but can be released because of the failure of head or anchor sections. To overcome this deficiency, this paper proposes an innovative support system that can actively reinforce the weak ground along the whole structural element by introducing an active tension bolt containing a spring unit to the middle of the steel bar to increase its reinforcement capacity. In addition, the paper presents the support mechanism of the active tension bolt based on a theoretical study and employs an experimental study to validate the performance of the proposed active tension bolt based on a down-scaled model. To examine the feasibility of the active tension unit in a pillar, the paper considers a pullout test and a small-scale experimental model. The experimental results suggest the active tension bolt to be an effective support system for pillar reinforcement.

• Journal of Korean Academy of Nursing Administration
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• v.22 no.5
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• pp.562-569
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• 2016

Purpose: This study was done to construct and verify a model of turnover intention in clinical nurses, considering the effects of compassion fatigue, coping, social support, and job satisfaction. Methods: For this study a cross-sectional correlational design was used. Participants were 283 clinical nurses in four general hospitals. Data were collected using a questionnaire and were analyzed with descriptive statistics, Pearson correlation coefficient and path analysis. Results: The modified model of turnover intention had a good fit in this study. Turnover intention was influenced by job satisfaction, and job satisfaction was affected by workload, problem-focused coping, peer support, family-friend support and compassion fatigue. Compassion fatigue was associated with occupational trauma events, problem-focused coping and emotional-focused coping. Job satisfaction was the most important factors controlling nurse's turnover intention. Conclusion: Findings show that job satisfaction, compassion fatigue, and traumatic events are important factors influencing turnover intention. Nurse managers try to manage job satisfaction, compassion fatigue, support, and coping for nurses, it could be expected making proper nursing circumstance.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.781-790
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• 2004

Purpose: The purpose of this study was to develop a model of an elderly health promotion center after witnessing the effect of a social support program on dependent variables in older adults at a local community health center. Method: The subjects were 60 female adults over 65 years dwelling in a rural area, and they were divided into experimental and control groups each with 30 people. A social support program was implemented 6 hours a day, 3 times a week, for 4 months in the experimental group. Included was health assessment, health education, counseling, consultation, exercise, physical & occupational therapy, primary care, recreation, lunch & transfer service. Data was collected from May 1stto September 14th, 2002 by questionnaires, and analyzed by $x^2$-test, t-test, Pearson's correlation coefficient and stepwise multiple regression using SAS. Result: The social support program in the elderly was very effective on all dependent variables of physical health (t=4.68, p=.001), health knowledge (t=3.60, p=.001), life satisfaction (t=8.65, p=.001), and health promoting behaviors (t=5.23, p=.001). Conclusion: The Social Support Program at a Community Health Center was effective on health promoting behaviors in the elderly.

• Journal of Korean Academy of Nursing
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• v.43 no.1
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• pp.81-90
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• 2013

Purpose: This study was done to test structural equation modeling of health-related quality of life (QOL) of men with obstructive sleep apnea in order to identify parameters affecting QOL and provide guidelines for interventions and strategies to improve QOL in these patients. Methods: Model construction was based on 'The conceptual model of patient outcome in health-related QOL' by Wilson and Cleary, using the variables; age, physiological factors, social support, cognitive appraisal, symptoms and QOL. Participants were 201 adult male patients recruited at a tertiary university hospital in Seoul. Data were collected via questionnaires, polysomnography, and clinical records. Results: Age and symptoms directly influenced QOL. Social support and cognitive appraisal about sleep did not have a direct influence on QOL, but indirectly affected it via symptoms. QOL was lower in patients who were younger and had more severe symptoms. Symptoms were more severe for patients with lower social support and more dysfunctional cognitive appraisal. When social support was lower, cognitive appraisal was more dysfunctional. Conclusion: These results suggest it is necessary to not only manage symptoms, but also apply interventions to increase social support and cognitive appraisal about sleep in order to increase QOL in patients with obstructive sleep apnea.