• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.36-41
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• 2020

This study is a descriptive study to investigate the presenteeism of nursing in long-term care hospital and general hospital. Data collection was conducted from October 01, 2019 to December 30, 2019. 74 nursing in long-term care hospital and 75 nursing in general hospital in this study. The collected data were analyzed using SPSS Win 21.0 program. Long-term care hospital nurses perceived higher health problems, job loss and perceiver productivity than general hospital nurses. This shows that there is no difference in work intensity according to the classification of patients in long-term care hospitals and general hospital nurses. In order to improve the quality of nursing care services in long-term care hospitals, it is necessary to manage the organizational aspects of long-term care hospital nurses' presenteeism.

• 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.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.19-27
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• 2020

In this study, Developing high resolution camera and Social Network Service sharing image can be easily getting images, it cause about taking fingerprints to easy from images. So I present solution about prevent to taking fingerprints. this technology is develop python using to opencv, blur libraries. First of all 'Hand Key point Detection' algorithm is used to locate the hand in the image. Using this algorithm can be find finger joints that can be protected while minimizing damage in the original image by using the coordinates of separate blurring the area of fingerprints in the image. from now on the development of accurate finger tracking algorithms, fingerprints will be protected by using technology as an internal option for smartphone camera apps from high resolution images.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.285-291
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• 2018

The purpose of this study is to identify the effects of consulting participation level, consulting specialty, and consulting capability on consulting intelligibility and consulting performance for Small Medium-sized Enterprises (SMEs).This study performed statistical analysis such as AMOS 22.0 to conduct exploratory factor analysis and measurement model in order to identify interrelationship among the consulting participation level, consulting intelligibility and consulting performance. The results of our study are as follow. Firstly and secondly consulting participation level, consulting specialty and consultant capability has positive effect on consulting performance and consulting intelligibility. Thirdly, consulting intelligibility has non positive effect on consulting performance. According to this survey, it is important to make good consulting performance through consulting participation level, specialty and capability. But the consulting intelligibility is not effected on consulting performance.

• Korea Journal of Hospital Management
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• v.19 no.2
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• pp.73-88
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• 2014

Objective: This research investigates how to increase the quality of medical service and supply high quality of medical service to patients. By using Kano Model theory we examines what medical service attributes the hospital would be conducted preferentially for patient's satisfaction and provides informations of management strategies for hospitals. Method: To study patients' perception of medical service quality, first we performed pilot test to derive 30 medical service attributes. With 30 medical service attributes, we conducted survey of 300 subjects who have experienced medical services in 6 months. To examine patients' conception of medical services, a modified Kano's questionnaire using 5 scale is applied. Finally we calculated SI(Satisfaction index) and DI(Dissatisfaction index) and PCSI(Potential Customer Satisfaction Improvement) index with Kano's Model analysis results. Key Findings: We found that the quality of medical service categorized in 15 one-dimensional elements, 9 must-be elements and 6 indifferent elements. Moreover the attribute of gives prompt services and have patient's best interest at heart scored the highest SI, whereas the attributes of accurate and precise medical service, exact records, enough explanation and polite attitudes are the highest score of DI. And also good explanation of the bill scored the highest PCSI. In this study findings indicate that while medical service providers try to increase patients' satisfaction by improving hospital's environments, patients' perception of trust and good interpersonal relationships with medical service providers have strong and positive impact on patients' satisfaction.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.4
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• pp.682-691
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• 2017

In this paper, we propose the fusion design methodology of both pedestrian detection and object tracking system realized with the aid of HOG-PCA based RBFNN pattern classifier. The proposed system includes detection and tracking parts. In the detection part, HOG features are extracted from input images for pedestrian detection. Dimension reduction is also dealt with in order to improve detection performance as well as processing speed by using PCA which is known as a typical dimension reduction method. The reduced features can be used as the input of the FCM-based RBFNNs pattern classifier to carry out the pedestrian detection. FCM-based RBFNNs pattern classifier consists of condition, conclusion, and inference parts. FCM clustering algorithm is used as the activation function of hidden layer. In the conclusion part of network, polynomial functions such as constant, linear, quadratic and modified quadratic are regarded as connection weights and their coefficients of polynomial function are estimated by LSE-based learning. In the tracking part, object tracking algorithms such as mean shift(MS) and cam shift(CS) leads to trace one of the pedestrian candidates nominated in the detection part. Finally, INRIA person database is used in order to evaluate the performance of the pedestrian detection of the proposed system while MIT pedestrian video as well as indoor and outdoor videos obtained from IC&CI laboratory in Suwon University are exploited to evaluate the performance of tracking.

• Journal of Nutrition and Health
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• v.35 no.5
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• pp.558-570
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• 2002

This study was performed to develop an index assessing the overall diet quality for Korean. The study subjects consisted of preschool children (PC), elementary school children (EC), high school students (HS), college students (CS), and adults over 30 years old living Seoul and the surrounding areas. The subjects over 30 years old were classified to 30-49 years, 50-69 years, and over 70 years. A dietary survey was conducted using 24-hour recall method and data were collected from 2392 people. Newly developed Korean diet quality index (KDQI) was an index assessing the overall diet quality from the view point of balance. KDQI was based on the nutritional problems of Koreans, dietary risk factors for chronic degenerative diseases, 5 major food groups, and dietary guidelines. The ten components of KDQI were vegetables, fruits, dairy products, dietary variety score, calcium intake, iron intake, energy intake, fat intake, and cholesterol intake. The full score of each component was 10 points and the score of KDQI was calculated by summing the scores of the 10 components. When the KDQI was applied to this study subjects, the distribution of subjects KDQI scores was similar to normal distribution. Mean score of KDQI was 56.0 and the range of the mean by age was from 45.7 for the subjects over 70 years old to 60.7 for the elementary school children. The components which composed the lowest three means were dairy intake, fruit intake, Ca intake in most age groups. Mean score of DVS was one of the highest three but not for the subjects over 50 years old. After subjects with KDQI score over 70 were classified to higher poop and those with KDQI score under 40, to lower group, nutritional characteristics were compared. Energy contributions of carbohydrate, proteins, and fit, percentages of RDA for major nutrients, and dietary diversity scores were more adequate in the higher poop than in the lower group. The lower poop had more risks for chronic degenerative diseases. According to the results, KDQI was valid index to assess the overall diet quality and it could be used to detect risk group for malnutrition and chronic degenerative diseases.

• Journal of Korean Ophthalmic Optics Society
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• v.12 no.4
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• pp.119-125
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• 2007

The aim of the present study was to compare the contrast sensitivity of soft contact lens wearers, spectacle wearers or emmetropia. Seventy myopic eyes and thirty emmetropic eyes aged 19 to 26 years were collected. The myopic group included 48 eyes corrected with spectacle lenses and 22 eyes of them corrected with contact lenses, too: all had corrected vision acuity of 20/20 or better. Spatial contrast sensitivity was measured using the OPTEC 6500 contrast sensitivity view-in tester included the EyeView　 Functional Vision Analysis software at photopic or mesoopic condition. There was no significant difference in contrast sensitivity between spectacle lenses and emmetropes. Myopes corrected with soft contact lenses showed statistical sensitivity losses at 1.5, 12 cycle/degree spatial frequencies. In conclusion, our findings suggest that loss of contrast sensitivity in soft contact lens wearers might be interpreted as evidence for corneal disruption before corneal pathological events occur in contact lens wearers. Contrast sensitivity testing appears to be a useful method for evaluating soft contact lenses.

• The Korean Journal of Physiology and Pharmacology
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• v.12 no.6
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• pp.323-330
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• 2008

The properties of voltage dependent $Ca^{2+}$ current (VDCC) were investigated in interstitial cells of Cajal (ICC) distributed in the myenteric layer (ICC-MY) of guinea-pig antrum. In tissue, ICC-MY showed c-Kit positive reactions and produced driving potentials with the amplitude and frequency of about 62 mV and 2 times $min^{-1}$ respectively, in the presence of $1{\mu}M$ nifedipine. Single ICC-MY isolated by enzyme treatment also showed c-Kit immunohistochemical reactivity. These cells were also identified by generation of spontaneous inward current under $K^+$ -rich pipette solution. The voltage clamp experiments revealed the amplitude of - 329 pA inward current at irregular frequency. With $Cs^+$-rich pipette solution at $V_h=-80\;mV$, ICC-MY produced voltage-dependent inward currents (VDIC), and nifedipine ($1{\mu}M$) blocked VDIC. Therefore, we successfully isolated c-Kit positive single ICC from guinea-pig stomach, and found that ICC-MY potently produced dihydropiridine sensitive L-type voltage-dependent $Ca^{2+}$ currents ($VDCC_L$).

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.274-274
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• 2012

In-depth analysis by secondary ion mass spectrometry (SIMS) is very important for the development of electronic devices using multilayered structures, because the quantity and depth distribution of some elements are critical for the electronic properties. Correct determination of the interface locations is critical for the calibration of the depth scale in SIMS depth profiling analysis of multilayer films. However, the interface locations are distorted from real ones by the several effects due to sputtering with energetic ions. In this study, the determination of interface locations in SIMS depth profiling of multilayer films was investigated by Si/Ge and Ti/Si multilayer systems. The original SIMS depth profiles were converted into compositional depth profiles by the relative sensitivity factors (RSF) derived from the atomic compositions of Si-Ge and Si-Ti alloy reference films determined by Rutherford backscattering spectroscopy. The thicknesses of the Si/Ge and Ti/Si multilayer films measured by SIMS depth profiling with various impact energy ion beam were compared with those measured by TEM. There are two methods to determine the interface locations. The one is the feasibility of 50 atomic % definition in SIMS composition depth profiling. And another one is using a distribution of SiGe and SiTi dimer ions. This study showed that the layer thicknesses measured with low energy oxygen and Cs ion beam and, by extension, with method of 50 atomic % definition were well correlated with the real thicknesses determined by TEM.