• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2005.11a
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• pp.365-368
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• 2005

While the goal of new IT adoption in small and medium sized firms is to choose an optimal system to fit with their own environments and conditions, that of IT post-adoption usage is to fully implement new IT and maximize their benefits from it. Therefore, the decision-making environments of new IT adoption is definitely different from those of post-adoption. Also, The direct experience of IT usage can provide some learning effect and the change of users' beliefs on new IT. From this point of view, this study attempts to figure out the differences of influencing factors on IOS usage intention between adopters and non-adopters. The results show that there are clear differences of influencing factors between two groups. Non-adopter group shows that perceived financial cost and ability of use have significant influences on IOS usage intention, while relative advantage and perceived risk in adopter group have statistically significant influences on post-adoption usage of IOS.

• Journal of Korean Public Health Nursing
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• v.7 no.1
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• pp.17-29
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• 1993

Nursing centers are nurse-managed organizations that give the client direct access to professional nursing services. Academic nursing centers are faculty-created and -organized nursing centers integrated into nursing school or cooperated with community nursing center. Academic nursing centers are needed for providing services to the forgotten or underserved populations in the community, providing learning opportunities for nursing students and practice opportunities for faculties. The intent of this study is to identify the elements needed in developing process and operations of acedemic nursing center for elderlies and the disabled, and to present the desired model for academic nursing center. The processes of my study were : 1) The articles of the academic nursing centers in U. S. were reviewed and analysed. 2) The academic nursing center for elderlies and the disabled was developed and operated in my paper. 3) Desired model for academic nursing center was presented in my paper. The followings are the results of my study: 1. Elements needed in developing process of academic nursing center were philosophy and goals, the community support, assessment of the validity of the service and health needs, identification of the service contents, roles and responsibilities, communication lines, finances for facilities and operations, cooperation with resources, and developing record system. 2. Elements needed in operations of academic nursing center were the structural organizations, realization of the above philosophy and goals, development of policy and nursing standards, faculty participation, continuity of services, and financial solutions. 3. The desired model was presented according to the process and operations.

• Quality Improvement in Health Care
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• v.17 no.1
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• pp.89-105
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• 2011

Background : The purpose of study in to grasp the level of perception of hospital workers on the patient safety culture, consider the difference in perception of patients safety culture according to medical service and finally find out a way to establish patient safety culture in hospital. Methods : As for the data, the analysis on frequency, t-test, ANOVA and tukey test were carried out by using SPSS 12.0. Result : The results of comparison among the positive response ratios on the patients culture of hospital workers showed that the subjects had perceived the teamwork within units most positively(74.1%), and perceived most negatively on the non-punitive response to error(16.2%)and the staffing(26.2%). 68.6% of subjects answered that the medical error were mostly of always reported. when daytime working hours are longer, perception of patient safety culture ranked low. In general, departments for direct medical service than departments for indirect medical service assessed patient safety culture high. Conclusion : Organizational learning and teamwork within units, communication openness, active support of hospital management for patient safety, and cooperation across the units would be crucial to promote the overall perceptions of patients safety of hospital workers and the level of patients safety in the units and to improve the quality of the event reporting system.

• Journal of Power Electronics
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• v.15 no.6
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• pp.1567-1576
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• 2015

Offline inductance identification of a permanent magnet synchronous motor (PMSM) is essential for the design of the closed-loop controller and position observer in sensorless vector controlled drives. On the base of the offline inductance identification method combining direct current (DC) offset and high frequency (HF) voltage injection which is fulfilled at standstill, this paper investigates the inverter nonlinearity effects on the inductance identification while considering harmonics in the induced HF current. The negative effects on d-q axis inductance identifications using HF signal injection are analyzed after self-learning of the inverter nonlinearity characteristics. Then, both the voltage error and the harmonic current can be described. In addition, different cases of voltage error distribution with different injection conditions are classified. The effects of inverter nonlinearities on the offline inductance identification using HF injection are validated on a 2.2 kW interior PMSM drive.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.19 no.2
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• pp.162-168
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• 2006

Recently, diagnosis techniques have been investigated to detect a Partial Discharge associated with a dielectric material defect in a high voltage electrical apparatus, However, the properties of detection technique of Partial Discharge aren't completely understood because the physical process of Partial Discharge. Therefore, this paper analyzes the process on surface discharge of polymer insulator using wavelet transform. Wavelet transform provides a direct quantitative measure of spectral content in the time~frequency domain. As it is important to develop a non-contact method for detecting the kaolin contamination degree, this research analyzes the electromagnetic waves emitted from Partial Discharge using wavelet transform. This result experimentally shows the process of Partial Discharge as a two-dimensional distribution in the time-frequency domain. Feature extraction parameter namely, maximum and average of wavelet coefficients values, wavelet coefficients value at the point of $95\%$ in a histogram and number of maximum wavelet coefficient have used electromagnetic wave signals as input signals in the preprocessing process of neural networks in order to identify kaolin contamination rates. As result, root sum square error was produced by the test with a learning of neural networks obtained 0.00828.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2432-2434
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• 2004

In this paper, we present a novel approach for the structure of Fuzzy Neural Network(FNN) based on wavelet function and apply this network structure to the solution of the tracking problem for mobile robots. Generally, the wavelet fuzzy model(WFM) has the advantage of the wavelet transform by constituting fuzzy basis function(FBF) and the conclusion part to equalize the linear combination of FBF with the linear combination of wavelet functions. However, it is very difficult to identify the fuzzy rules and to tune the membership functions of the fuzzy reasoning mechanism. Neural networks, on the other hand, utilize their learning capability for automatic identification and tuning. Therefore, we design a wavelet based FNN structure(WFNN) that merges these advantages of neural network, fuzzy model and wavelet. To verify the efficiency of our network structure, we evaluate the tracking performance for mobile robot and compare it with those of the FNN and the WFM.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.1021-1024
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• 2001

Out of all metal-cutting processes, the hole-making process is the most widely used. It is estimated to be more than 30% of the total metal-cutting process. It is therefore desirable to monitor and detect drill wear during the hole-drilling process. In this paper, the vision system of the sensing methods of drill flank wear on the basis of image processing is used to detect the wear pattern by non-contact and direct method and get the reliable wear information about drill. In image processing of acquired image, median filter is applied for noise removal. The vision flank wear area of the drill was measured. Backpropagation neural networks (BPns) were used for no-line detection of drill wear. The neural network consisted of three layers: input, hidden and output. The input vectors comprised of spindle rotational speed, feed rates, vision flank wear, thrust and torque signals. The output was the drill wear state which was either usable or failure. Drilling experiments with various spindle rotational speed and feed rates were carried out. The learning process was peformed effectively by utilizing backpropagation. The detection of the abnormal states using BPNs achieved 96.4% reliability even when the spindle rotational speed and feedrate were changed.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2006.04a
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• pp.248-255
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• 2006

Among a variety of influencing components, time-variant seepage and long-term underground motion are important to understand the abnormal behavior of tunnels. Excessiveness of these two components could be the direct cause of severe damage on tunnels. however, it is not easy to quantify the effect of these on the behavior of tunnels. These parameters can be estimated by using inverse methods once the appropriate relationship between inputs and results are clarified. Various inverse methods or parameter estimation techniques such as artificial neural network and least square method can be used depending on the characteristics of given problems. Numerical analyses, experiments, or monitoring results are frequently used to prepare a set of inputs and results to establish the back analysis models. In this study, a back analysis method has been developed to estimate geotechnically hard-to-known parameters such as permeability of tunnel filter, underground water table, long-term rock mass load, size of damaged zone associated with seepage and long-term underground motion. The artificial neural network technique is adopted and the numerical models developed in the firstpart are used to prepare a set of data for learning process. Tunnel behavior especially the displacements of the lining has been exclusively investigated for the back analysis.

• Journal of the Korean School Mathematics Society
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• v.8 no.4
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• pp.423-444
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• 2005

Despite the importance of number sense, computational skills have been emphasized in elementary mathematics curriculum. There is lack of research on number sense. Against this background, this study analyzed the way 137 sixth grade students coped with routine computation problems and with problems requiring number sense. Students performed better on the computation tasks than on the number sense tasks. With regard to the number sense tasks, many students had a tendency to implement direct computation rather than to use number sense appropriate to the given contexts. Students also had difficulties in making use of effective benchmarks or applying the knowledge of number and operation to various problem contexts. An implication is that students should explore multiple tasks requiring number sense as an integral part of their mathematics learning in order to develop number sense.

• The Journal of Information Systems
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• v.17 no.4
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• pp.157-180
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• 2008

The majority of studies was undertaken on large companies that had adopted e-Business or on the specific case of dot.com companies. However, despite this interest in the effect of the size of an organization on its approach to e-Business, little direct comparison has been undertaken between small and large companies. This study examined the differences of e-Business adoption factors and e-Business performance between large and small companies. Reviewing the literature, we suggest a research model and develop nine hypotheses to be tested. Data are collected from 109 companies Implemented e-business. The results of hypothesis testing show as follows. First, e-Business performance of efficiency has a positive influence of perceived e-Business advantage, top management support, organizational learning ability and financial slack. Second, e-Business performance of sales performance has a positive influence of top management support. Third, e-Business performance of customer satisfaction has a positive influence of technology competence, perceived e-Business advantage, top management support, financial slack and institutional pressure. Finally, there are differences in the e-business factors(perceived e-Business advantage, top management support, institutional pressure) and e-Business performance(efficiency) between large and small companies.