• Journal of Korean Institute of Architectural Sustainable Environment and Building Systems
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• v.12 no.6
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• pp.579-590
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• 2018

Anomaly detection on building energy consumption has been regarded as an effective tool to reduce energy saving on building operation and maintenance. However, it requires energy model and FDD expert for quantitative model approach or large amount of training data for qualitative/history data approach. Both method needs additional time and labors. This study propose a machine learning and data science approach to define faulty conditions on hourly building energy consumption with reducing data amount and input requirement. It suggests an application of Support Vector Data Description (SVDD) method on training normal condition of hourly building energy consumption incorporated with hourly outdoor air temperature and time integer in a week, 168 data points and identifying hourly abnormal condition in the next day. The result shows the developed model has a better performance when the ${\nu}$ (probability of error in the training set) is 0.05 and ${\gamma}$ (radius of hyper plane) 0.2. The model accuracy to identify anomaly operation ranges from 70% (10% increase anomaly) to 95% (20% decrease anomaly) for daily total (24 hours) and from 80% (10% decrease anomaly) to 10%(15% increase anomaly) for occupied hours, respectively.

• Journal of the Korean Society for information Management
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• v.25 no.2
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• pp.25-48
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• 2008

The purpose of this study is to suggest retrieval interfaces for Korean paintings which support users to retrieve specific digitalized images of them through various access points and to widely browse based on unique features Korean paintings. The study, first, develops a set of descriptive elements suitable for Korean Paintings. Twenty-six core elements and one hundred seventy-two attributes are selected as descriptive items for Korean paintings based on the opinion of 8 experts. Then, to gam realistic evidence of what descriptive elements of image serve users as access points, it is investigated which elements are used as retrieval access points among 26 core elements by 300 peered users who are consisted with two groups such as common users and domain specialists. The study, in final, designs two(general and advanced) types of search interfaces and display interfaces based on the most popular top 15 descriptive elements. This access-enhanced platform which enables user-oriented searches will satisfy users in image retrieving.

• Geomechanics and Engineering
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• v.22 no.4
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• pp.291-303
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• 2020

The deformation of the rock surrounding a tunnel manifests due to the stress redistribution within the surrounding rock. By observing the deformation of the surrounding rock, we can not only determine the stability of the surrounding rock and supporting structure but also predict the future state of the surrounding rock. In this paper, we used grey system theory to analyse the factors that affect the deformation of the rock surrounding a tunnel. The results show that the 5 main influencing factors are longitudinal wave velocity, tunnel burial depth, groundwater development, surrounding rock support type and construction management level. Furthermore, we used seismic prospecting data, preliminary survey data and excavated section monitoring data to establish a neural network learning model to predict the total amount of deformation of the surrounding rock during tunnel collapse. Subsequently, the probability of a change in deformation in each predicted section was obtained by using a Bayesian method for detecting change points. Finally, through an analysis of the distribution of the change probability and a comparison with the actual situation, we deduced the survey mark at which collapse would most likely occur. Surface collapse suddenly occurred when the tunnel was excavated to this predicted distance. This work further proved that the Bayesian method can accurately detect change points for risk evaluation, enhancing the accuracy of tunnel collapse forecasting. This research provides a reference and a guide for future research on the probability analysis of tunnel collapse.

• Journal of the Korean Society of Physical Medicine
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• v.13 no.2
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• pp.115-127
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• 2018

PURPOSE: This study aimed to investigate the effect of empowerment on job satisfaction for physical therapists in general hospitals. METHODS: A total of 297 physical therapists working in general hospitals throughout the country participated in the study survey using self-administered questionnaires. The questionnaires comprised three major parts, i.e., questions about general characteristics, empowerment, and job satisfaction, which were rated using a 5-point Likert scale. Statistical analysis was performed to analyze the frequency and percentage of participants, and the independent t-test and analysis of variance were performed to determine the difference in job satisfaction according to the general characteristics. Stepwise multiple regression was used to evaluate the factors that affect job satisfaction. RESULTS: The average of total empowerment, including two subordinate concepts, was 3.29 points, that of psychological empowerment was 3.53 points, and that of structural empowerment was 3.05 points. The average job satisfaction of the participants was 3.43 points, and it showed a significant difference in age, overall work experience, current work experience, position, annual salary, and daily work hours. Moreover, job satisfaction increased as the subordinate factors for empowerment, i.e., support, resources, chance, and competence, increased. Other factors that affect job satisfaction were daily work hours, number of colleagues, type of work, annual salary, and therapeutic assistance. CONCLUSION: This study demonstrated that job satisfaction of physical therapists working in general hospitals was related to empowerment, thereby indicating that job satisfaction and work performance can be increased by improving their empowerment.

• Journal of KIISE:Databases
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• v.30 no.4
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• pp.362-371
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• 2003

In this paper, we propose an optimal interest point extraction method to support shape-base image classification and indexing for image database by applying a dynamic threshold that reflects the characteristics of the shape contour. The threshold is determined dynamically by comparing the contour length ratio of the original shape and the approximated polygon while the algorithm is running. Because our algorithm considers the characteristics of the shape contour, it can minimize the number of interest points. For n points of the contour, the proposed algorithm has O(nlogn) computational cost on an average to extract the number of m optimal interest points. Experiments were performed on the 70 synthetic shapes of 7 different contour types and 1100 fish shapes. It shows the average optimization ratio up to 0.92 and has 14% improvement, compared to the fixed threshold method. The shape features extracted from our proposed method can be used for shape-based image classification, indexing, and similarity search via normalization.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.511-517
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• 2021

This study is a descriptive investigative study to correlate of learning flow, self-directedness, self-regulated learning ability and learning achievement of nursing students who in non-face-to-face learning environment. The subjects of the study were 179 nursing college students based in B, G city, who collected data from September to October 2021. The data analysis used the SPSS 24.0 program and performed descriptive statistics and correlation analysis. As a result of the study, the average learning flow was 38.54±7.87 points, self-directedness was 134.83±19.81 points, self-regulated learning ability was 42.93±5.98 points and learning achievement was 15.03±2.56 points. The relationships among learning flow, self-directedness, self-regulated learning ability, and learning achievement showed significant positive correlations. Therefore, strategies to increase the learning achievement of nursing college students in a non-face-to-face environment, and environmental improvement and institutional support to increase learning flow are needed.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.3
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• pp.333-358
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• 2024

To promote libraries as "Libraries for All," it is essential to assess the current state of regional library infrastructures and explore policy support strategies for their improvement. This study develops the 'Library Vitality Index' as a metric to evaluate libraries' capabilities as sustainable infrastructures. The index assesses various aspects, including libraries' environmental responsiveness, accessible design, level of digital transformation, and capacity to provide universal cultural services. The research involved a comprehensive review of domestic and international cases, Delphi surveys, and expert group interviews to derive the final set of indicators. These indicators were weighted based on their importance using AHP analysis. The final index consists of three components: regional library activation (300 points), individual library capacity (470 points), and feedback systems (30 points), with a total of 800 points. The index includes 108 items, divided into 14 for regional library activation, 88 for individual library capacity, and 6 for feedback systems.

• Research in Community and Public Health Nursing
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• v.31 no.2
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• pp.179-188
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• 2020

Purpose: The purpose of this study is to identifying factors influencing organizational commitment of nurses in Korean Red Cross Blood Center (KRCBC). Methods: A cross sectional survey was conducted for 224 nurses who worked for more than three months in KRCBC. Data were collected using a structured questionnaire from August 28 to September 20, 2018. Data were analyzed using independent t-test, Mann-Whitney U test, one-way ANOVA, Pearson's correlation coefficient, and hierarchical multiple regression analysis with SPSS (ver. 23.0). Results: The mean score of organizational commitment was 3.37±0.52 on a scale of 5 points, the mean of positive psychological capital was 3.51±0.51, communication ability score was 3.60±0.48, and social support score was 3.68±0.57. The factors influencing organizational commitment of nurses in KRCBC were social support (β=.41, p<.001), job satisfaction (β=.27, p<.001), and total length of employment in KRCBC (β=.19, p=.016). The model explained 36.1% of the organizational commitment of the nurses. Conclusion: It is necessary to develop an organizational commitment program for strengthening social support and job satisfaction to improve organizational commitment of nurses in KRCBC. Such a program is eventually expected to improve the quality of nursing care of nurses with a short career in KRCBC.

• Quality Improvement in Health Care
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• v.23 no.2
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• pp.11-20
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• 2017

Purpose: The purpose of this study was to determine the effects of rotation direction during curved walking on gait parameters in stroke patients. Methods: A group of thirty subjects with stroke (Berg Balance Scale score${\geq}41$ were fifteen, Berg Balance Scale score${\leq}40$ were fifteen) were enrolled in this study. Testing indications included two directions for rotation in each subject. These indications were for rotation toward the affected and unaffected side in stroke patients. The gait speed, affected side single support duration, affected side double support duration were recorded. The obtained data were analyzed by using paired t-test and Wilcoxon signed rank test in the group that are below and above 40 points of Berg Balance Scale score. Results: There was significant increase affected side single support duration was turned the affected side in stroke patients that presented a Berg Balance Scale score${\geq}41$ (p<.05). There were significant increase gait speed, affected side single support duration, and significant decrease affected side double support duration while subjects were turned the affected side in stroke patients that presented a Berg Balance Scale score${\leq}40$ (p<.05). Conclusion: This result may be effective to rotate in the paralyzed direction to improve the ability of the paralyzed lower limb to gain weight during gait training for stroke patients with a Berg Balance Scale score<40. Therefore, walking training program for hemiplegic patient needs to be suggested in the direction of turning for suitable balance ability.

• The Journal of Advanced Prosthodontics
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• v.14 no.3
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• pp.150-161
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• 2022

PURPOSE. The purpose of the study was to assess the influence of build orientations and density of support structures on the trueness of the 3D printed removable partial denture (RPD) frameworks. MATERIALS AND METHODS. A maxillary Kennedy class III and mandibular class I casts were 3D scanned and used to design and produce two 3D virtual models of RPD frameworks. Using digital light processing (DLP) 3D printing, 47 RPD frameworks were fabricated at 3 different build orientations (100, 135 and 150-degree angles) and 2 support structure densities. All frameworks were scanned and 3D compared to the original virtual RPD models by metrology software to check 3D deviations quantitatively and qualitatively. The accuracy data were statistically analyzed using one-way ANOVA for build orientation comparison and independent sample t-test for structure density comparison at (α = .05). Points study analysis targeting RPD components and representative color maps were also studied. RESULTS. The build orientation of 135-degree angle of the maxillary frameworks showed the lowest deviation at the clasp arms of tooth 26 of the 135-degree angle group. The mandibular frameworks with 150-degree angle build orientation showed the least deviation at the rest on tooth 44 and the arm of the I-bar clasp of tooth 45. No significant difference was seen between different support structure densities. CONCLUSION. Build orientation had an influence on the accuracy of the frameworks, especially at a 135-degree angle of maxillary design and 150-degree of mandibular design. The difference in the support's density structure revealed no considerable effect on the accuracy.