• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.237-242
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• 2018

Researchers have suggested successful risk management as a key factor in successful IT outsourcing projects implementation. The documented investigations, however, have mainly addressed risk management only from a single perspective of either clients or IT vendors. This study explored the potential perception inconsistency regarding the risks between the client and the vendor for IT outsourcing projects by using a quasi-Delphi approach. The analysis results indicated some inconsistencies in the risks perceived by the two parties: (1) the clients regarded (a) lack of vendor commitment to the project and (b) poor vendor selection criteria and process as top critical risks but the vendors didn't; and (2) on the other hand, the vendors perceived (a) unclear requirements and (b) lack of experience and expertise with project activities as significant risks but the clients didn't. Insights into how the client and the vendor perceive risks may help both parties determine how to partner and manage project risks collaboratively to succeed in outsourcing.

• Journal of Convergence for Information Technology
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• v.8 no.5
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• pp.251-261
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• 2018

Under the great influence of ICT technology, China is forging ahead steadily and rapidly in the area of smart farming. In the last decade, Chinese government has carried out strategic plans to promote its economic development in agriculture, such as the plan of Made In China 2025 and One Belt One Road initiative. This thesis's objective is to analyze how such plans and initiative can provide 'windows of opportunity' to the development of smart farming industry in China. China led the development of smart agriculture by making a T-shaped rise which is composed with 'One Belt One Road Initiative and Made in China 2025 Plan. This thesis is divided into three types as path-following catch-up, path-skipping catch-up, path-creating catch-upAs this thesis also manages to provide some implications on the export strategies of South Korea's smart farming industry by understanding chinese samrt farm industry.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.100-108
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• 2020

The purpose of this study is to identify the differences in self-efficacy, clinical performance ability, and critical thinking disposition after applying education integrated educational virtual reality simulation to training and outside school clinical practice to nursing college students and to provide them as basic data for effective practical education. This study was conducted from June 8 to July 3, 2020, and enrolled in the 3rd year of university in G city, and 30 subjects who did not receive virtual reality simulation training or outside school clinical training at all. Data were analyzed by Paired t-test. As a result of the study, the result of pretest and posttest to each group showed statistically significant improvements in self-efficacy, clinical performance ability, and critical thinking disposition. As a results of the study, education integrating virtual reality simulation training and clinical practice for nursing students to improves clinical performance ability, improves critical thinking, and self-efficacy, so it is thought that various virtual reality simulation training must be suitable for clinical situations before practice is necessary.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.47-52
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• 2020

The general flatbed printer system is composed of a PC and a dedicated S/W, which is inconvenient to use. In the end, there is a need for a technology that can easily and conveniently use various types of printing through simplification, smartization, etc. of a flatbed printer system configuration. That is, there is an increasing demand for multi-dimensional printer capable of printing on various types of materials with one printer and capable of printing various types of products. Therefore, in this paper, we developed a flatbed printer system capable of multi-dimensional printing using Head Encoder/Trigger control. To this end, we developed a flatbed printer that connects the internal module of the flatbed printer with an input type detection sensor and controls all operating states by the head encoder and head trigger signals of the printer through separate main controllers. Through this, the development and diffusion of IoT technology will expand the printer control of the smart environment to the developed form throughout the industry. It is expected to contribute to the development of the 3D printing industry in the future.

• Journal of the Korea Society for Simulation
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• v.17 no.3
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• pp.19-26
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• 2008

In this paper, we propose a dynamic prediction algorithm to predict the bond price using actual data set of treasure note (T-Note). The proposed algorithm is based on term structure model of the interest rates, which takes place in various financial modelling, such as the standard Gaussian Wiener process. To obtain cumulative distribution functions (CDFs) of actual data for the interest rate measurement used, we use the natural cubic spline (NCS) method, which is generally used as numerical methods for interpolation. Then we also use the random number generation scheme (RNGS) to calculate the pricing of bond through the obtained CDF. In empirical computer simulations, we show that the lower values of precision in the proposed prediction algorithm corresponds to sharper estimates. It is very reasonable on prediction.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.42-50
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• 2020

The purpose of this study was to determine cervical cancer screening status of nursing students and to examine the effects of their knowledge, preventive behavioral intention on cervical cancer screening. This study targeted 192 nursing students from three universities in G. J City. The data were analyzed through frequency analysis, t-test, χ²-test, and logistic regression analysis using the SPSS/WIN 23.0 program. The factors influencing on the cervical cancer screening among nursing students were age, sexual experience, and preventive behavioral intention. In order to improve the cervical cancer screening rate, healthcare professionals must develop phased and sustainable education programs that enhance the intention for cervical cancer screening in schools and medical institutions for students to be provided from school-age years, which is a pre-sexually active period, to college years.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.51-59
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• 2020

The purpose of this study was to find out a correlation of clinical nurse's character, clinical practice stress, stress coping and factor affecting nursing professional value on nursing students in Korea, and to use it as a basic data in developing nursing professional value promotion programs for nursing students. The study was composed of 145 students who were studying in fourth year student at colleges. Data were collected from May to June, 2019. Data analysis included an independent t-test, ANOVA, Pearson correlation coefficients and multiple regression using the SPSS program. As a result of this study, nursing professional value of those was significantly correlated with clinical nurse's character, clinical practice stress and stress coping. In a regression analysis, nursing professional value accounted for 38.2%(F=43.973, p=.000), of the variance of clinical nurse's character and stress coping. The most significant factor affection the success of nursing professional value was stress coping(β=.508, p=.000). The result of the study indicates the importance of developing clinical nurse's character and applying variety stress coping method for positive nursing professional value of nursing students.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.83-91
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• 2020

This study was conducted in order to identify the level of dietary behavior and investigate factors that influence dietary behavior in nursing students. This study was a descriptive survey including 304 students in D city. Data were analyzed using descriptive statistics, t-test, ANOVA, pearson's correlation coefficient and stepwise multiple regression with SPSS 18. The average score of the subject's dietary behavior was 2.72. In the correlation of dietary behavior, there was a significant positive correlation with health concern and dietary attitude, and there was no correlation with nutrition knowledge. Models including the variables, health concern, perceived health status, exercise, dietary attitude and residential type explained 24.4% of the variance for dietary behavior. Health concern was the most influential factor. A practical intervention program which includes these significant variables of subjects is essential to improve of good dietary behavior.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.111-116
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• 2020

Recently, many safety accidents involving children shuttle buses take place. Without a teacher for help, a safety accident occurs when the driver can't see a child who is getting off in the blind spot of both frontside and backside. A deep learning-based smart mirror allows user authentication and provides various services. Especially, It can be a role of helper for children, and prevent accidents that can occur when drivers or assistant teachers do not see them. User authentication is carried out with children's face registered in advance. Safety accidents can be prevented by an approximate sensor and a camera in frontside and backside of the bus. This study suggests a way of checking out whether children are missed in the process of getting in and out of the bus, designs a system that reduce blind spots in the front and back of the vehicle, and builds a safety system that provide various services using GPS.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.1-7
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• 2020

The demand on the underwater communications is extremely increasing in searching for underwater resources, marine expedition, or environmental researches, yet there are many problems with the wireless communications because of the characteristics of the underwater environments. Especially, with the underwater wireless networks, there happen inevitable delay time and spacial inequality due to the distances between the nodes. To solve these problems, this paper suggests a new solution based on ALOHA-Q. The suggested method use random NAV value. and Environments take reward through communications success or fail. After then, The environments setting NAV value from reward. This model minimizes usage of energy and computing resources under the underwater wireless networks, and learns and setting NAV values through intense learning. The results of the simulations show that NAV values can be environmentally adopted and select best value to the circumstances, so the problems which are unnecessary delay times and spacial inequality can be solved. Result of simulations, NAV time decreasing 17.5% compared with original NAV.