• The Journal of Information Systems
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• v.18 no.2
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• pp.127-150
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• 2009

Although many employees in the logistics/small package express companies are using mobile information systems. there is little research on the individual impacts of adopting mobile information systems in the distribution area. Therefore, this study attempts to develop the research model to evaluate individual impacts on using mobile information systems which are frequently utilized in logistics and small package express companies. In order to propose the research model, we attempt to incorporate technology acceptance model and IS success model to evaluate individual impacts on using mobile information systems. To verify the research model, we collected 225 data from staffs who have mobile IT system in distribution and logistics area. We also verified the validity and reliability by using SEM(structural equation modeling). As a results, we found that system use, cognitive judgement and attitude can be the key variables to improve individual impacts by using mobile information system. We further found that perceived usefulness can be ere of the Imp factors to improve the individual impacts. Based on out findings, we can understand that this research model can provide a deeper understanding of individual impacts of mobile information systems.

• Journal of Positioning, Navigation, and Timing
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• v.12 no.2
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• pp.121-128
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• 2023

When calculating the user's position using satellite signals, the signals originating from the satellite pass through the ionosphere and troposphere to the user. In particular, the ionosphere delay error that occurs when passing through the ionosphere delays when the signal is transmitted, generating a pseudorange error and position error at a large rate. Therefore, to improve position accuracy, it is essential to correct the ionosphere layer error. In a receiver capable of receiving dual frequency, the ionosphere error can be eliminated through a double difference, but in a single frequency receiver, an ionosphere correction model transmitted from a Global Navigation Satellite System (GNSS) satellite is used. The popularly used Klobuchar model is designed to improve performance globally. As such, it does not perform perfectly in the Korea region. In this paper, the characteristics of the delay in the ionosphere in the Korean region are identified through an analysis of 10 years of data, and an improved ionosphere correction model for the Korean region is presented using the widely employed Klobuchar model. Through the proposed model, vertical position error can be improved by up to 40% relative to the original Klobuchar model in the Korea region.

• The Journal of Korean Academic Society of Nursing Education
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• v.20 no.3
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• pp.424-434
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• 2014

Purpose: The aim of this study was to propose a teaching model to improve the cultural competence care of undergraduate Korean nursing students. Methods: A literature review was performed from 2000 through 2014 using internet to identify studies that presented nursing curricula and teaching-learning strategies in Korea. We analyzed retrieved Korean seven articles using Campinha-Bacote's ASKED model in combination with reflective experiences of authors observing classrooms in the U.S. Results: Six syllabuses presented information about cultural diversity nursing concepts in Korea. A traditional lecture focused on presenting contents about cultural knowledge by an instructor in the classroom was identified as a commonly used teaching strategy. We found that cultural competency related to cultural desire, awareness, and encounter was lacking. Thus, we developed teaching model based on the Korean nursing education contexts and combined with Campinha-Bacote model to improve cultural competency in nursing. Conclusions: The proposed teaching model shows promise as a strategy for improving the knowledge, attitudes, and skills related to cultural competent for undergraduate nursing students in Korea. However, evidences that this model improves nursing students' clinical practices reflecting cultural competent care are still lacking. Future research focusing on determining teaching methods and contents in clinical practices will be most effective.

• Journal of the Ergonomics Society of Korea
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• v.31 no.6
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• pp.793-800
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• 2012

Objective: This study investigated the problems that could be faced with when engineers try to improve the affective quality using the DMAIC model. Background: Affective quality is considered one of the most influential factors for the competitive power of consumer products and many engineers make effort to improve the affective quality. Since the Six Sigma process is effective and wide-used method for quality improvement, it can also be used to improve the affective quality. However six sigma tools cannot be directly used for affective quality because of the subjective and qualitative characteristics of the human affection. Method: Investigate the goals, processes and key factors of DMAIC model and find the difficulties to use six sigma tools for the affective quality. Results: Most of the problems arise from measuring and quantifying the human affective response level and understanding the relationship between the human affective factors. Conclusion: Both the protocol for measuring human affection and the monitoring system to find the affective response change for the product or service are required. Application: The results of this study could be helpful for the engineers not specialized in ergonomics to improve the affective quality in systematic approach.

• Journal of Korean Institute of Industrial Engineers
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• v.42 no.5
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• pp.314-326
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• 2016

The purpose of variable selection techniques is to select a subset of relevant variables for a particular learning algorithm in order to improve the accuracy of prediction model and improve the efficiency of the model. We conduct an empirical analysis to evaluate and compare seven well-known variable selection techniques for multiple linear regression model, which is one of the most commonly used regression model in practice. The variable selection techniques we apply are forward selection, backward elimination, stepwise selection, genetic algorithm (GA), ridge regression, lasso (Least Absolute Shrinkage and Selection Operator) and elastic net. Based on the experiment with 49 regression data sets, it is found that GA resulted in the lowest error rates while lasso most significantly reduces the number of variables. In terms of computational efficiency, forward/backward elimination and lasso requires less time than the other techniques.

• Journal of Information Technology Applications and Management
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• v.11 no.2
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• pp.45-64
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• 2004

Many researchers have proved that information systems auditing is a very effective tool for improving information systems quality. However, information system auditing in Korea still includes many subjective judgements. This study deals with applying a quantitative model to improve information system auditing quality on security domain. First of all, we have looked at previous researches on information systems audit, especially on security audit. Based on this survey, we have come up with solutions to improve the evaluation efficiency on security audit. We have merged the security audit guidelines of NCA and KISA, and developed a quantified evaluation scheme. We have proved the validity of this model by interviews with experts and by case studies.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1993.10a
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• pp.66-75
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• 1993

Since information systems have been treated as a management tool, a model is required to express and analyze and organizational point of view. Futher, a systematic methodology is required to analyze and diagnose organizational processes to improve them. To improve existing organizational processes, it is needed to describe all the processes performed in each department and their relationships to staffs, resources, and other processes of the organization. However, because of the complexity and unstructureness of the processes, this task is very difficult. We proposed an organizational process model which expresses organizational information on processes, departments, staffs, and resources. Based on this model, we have developed a management information database and a computerized tool which help analyze and diagnose organizational processes. The organizational process model, management information database, the automated tool may be used for BR(Business Re-engineering).

• Journal of Information Processing Systems
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• v.14 no.2
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• pp.377-395
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• 2018

Aiming at the problem of service reliability in resource reservation in cloud computing environments, a model of dynamic cloud resource reservation based on trust is proposed. A domain-specific cloud management architecture is designed in which resources are divided into different management domains according to the types of service for easier management. A dynamic resource reservation mechanism (DRRM) is used to test users' reservation requests and reserve resources for users. According to user preference, several resources are chosen to be candidate resources by fuzzy cluster analysis. The fuzzy evaluation method and a two-way trust evaluation mechanism are adopted to improve the availability and credibility of the model. An analysis and simulation experiments show that this model can increase the flexibility of resource reservation and improve user satisfaction.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.28 no.1
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• pp.40-47
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• 2004

This paper proposes a three-axis coupling controller designed to improve the contouring accuracy in machining of 3D nonlinear contours. The proposed coupling controller is based on an innovative 3D contour error model and a PID control law. The novel contour error model provides almost exact calculation of contour errors in real-time for arbitrary contours and can be integrated with any type of existing interpolator. In the proposed method, three axes of motion are coordinated by the proposed coupling controller along with a proportional controller for each axis. The proposed contour error model and coupling controller are evaluated through computer simulations. The simulation results show that the proposed 3-axis coupling controller with the new contour error model substantially can improve the contouring accuracy by order of magnitude compared with the existing uncoupled controllers in high-speed machining of nonlinear contours.

• Journal of the Korean Home Economics Association
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• v.33 no.4
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• pp.157-172
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• 1995

The purpose of this study was to develop a measurement model for evaluation of residential environment in low-income families. Residential environment means the housing unit itself and neighborhoods and community characteristics. Based on the previous research on housing environment, six factors (comfortable environment in indoor and outdoor, facilities environment in complex and community, sociopsychological environment, management and economic environment) were selected to evaluate residential environment and to provided a foundation for exploring the multidimensional factors of this research. As s confirmatory study, an Analysis of Linear Structural Relationships(LISREL) was utilized to develop the model. Despite of some measurement errors, the goodness of fit of an overall model was acceptable. Facilities environment in complex and sociopsychological environment were the most important factors in residential environmental evaluation of the low income families. the findings showed that housing policies and programs to improve the quality of homes in low-income families seemed to be beneficial to improve residential satisfaction of the residents.