• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1284-1291
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• 2015

This study was conducted as a descriptive study with the aim of identifying the effects of clinical nurses' resilience and social problem solving abilities on burnout. Data collection for the study was carried out between May $30^{th}$ and June $19^{th}$, 2013 by surveying 192 clinical nurses working in university medical centers and general hospitals located in D city. Measures were subjects' resiliency, social problem solving abilities, and burnout. For the analysis of the data, the statistical methods of frequency, mean and standard deviation, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression analysis were employed. When the category of burnout was analyzed by general features, placement in a desired department and size of hospital, there were significant differences. Burnout correlated negatively with resilience and social problem solving abilities. Factors affecting clinical nurses' burnout were identified in the order of resilience, size of hospital, social problem solving abilities, and placement in a desired department and the explanatory power was 43.1%. The findings of the study indicate that in order to decrease clinical nurses' burnout, their resilience and social problem solving abilities have to be enhanced.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3552-3560
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• 2012

This study was conducted to find out the complaint rate of musculo-skeletal disorder and its related factors from male manufacturing workers at a nonferrous manufacturing industry. As for the research subjects, 302 workers selected from a nonferrous manufacturer located in Daejeon City, and as for the collection of data, a standardized anonymous questionnaire survey were conducted from May 1, 2011 to June 30, 2011. As a results, the complaint rate of musculo-skeletal disorders by each body part, the symptom of shoulders was 42.7%, the highest rate, followed by the waist, 36.8%, the neck and the hand/wrist/finger, 30.5% respectively, the leg and foot, 30.1% and arm/elbow, 20.9%. The complaint rate of musculo-skeletal disorder for the sociodemographic characteristics was significantly high as survey participants' age and BMI were low and in the group having low subjective health condition. The complaint rate of musculo-skeletal disorder for the health-related behavior characteristics was significantly high in the group having been absent from work due for diseases, in the group having received outpatient services, in the group having been hospitalized for treatment, in the group not having a regular exercise and in the group having insufficient sleeping hours. Finally, the complaint rate of musculo-skeletal disorder for the job-related characteristics was significantly high in the group suffering from the physical burden of their work, in the group working while bending at the waist and in the group carrying out repetitive tasks.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.10
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• pp.465-472
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• 2017

In the past, researchers mainly used the supervised learning technique of machine learning to analyze power data and investigated the identification of patterns through the data mining technique. Data analysis research, however, faces its limitations with the old data classification and analysis techniques today when the size of electric power data has increased with the possible real-time provision of data. This study thus set out to propose a clustering architecture to analyze large-sized electric power data. The clustering process proposed in the study supplements the K-means algorithm, an unsupervised learning technique, for its problems and is capable of automating the entire process from the collection of electric power data to their analysis. In the present study, power data were categorized and analyzed in total three levels, which include the row data level, clustering level, and user interface level. In addition, the investigator identified K, the ideal number of clusters, based on principal component analysis and normal distribution and proposed an altered K-means algorithm to reduce data that would be categorized as ideal points in order to increase the efficiency of clustering.

• Current Research on Agriculture and Life Sciences
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• v.2
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• pp.29-33
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• 1984

From June 28th to July 17th in 1985, this study was performed to obtain the information of the fresh corn forage production through the spraying hydrophonics in summer. The experiments were conducted in vinyl house on Kyungpook University's Experimental Station. The results obtained were as follows: It was suggested that the treatment of soaking for 24 hrs and followed by the pretreatment for 48 hrs was better than other treatments. Seed cost for the production of 1 kg fresh forage was the most inexpensive at the seeding rate of 450 g per $30{\times}60cm$ tray than other seeding rates. Application of 1000 times diluted Hyponex solution (1000X Hyponex) or 300 times diluted Yogen solution (300X Yogen) one time per day resulted in the heavier fresh weight than the other treatments. Treatments of 300X Yogen and 500X Yogen gave the better fresh weight in one application per two days and per three days, respectively. But, this method was not useful in summer because the lowest seed cost for the production 1kg fresh forage was 73Won, and collection of the fresh forage from the mountain range was easy.

• Journal of Ocean Engineering and Technology
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• v.34 no.5
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• pp.294-303
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• 2020

This study discusses data collection, calculation of wind and wave-induced resistance, and speed-power analysis of an 8,600 TEU container ship. Data acquisition system of the ship operator was improved to obtain the data necessary for the analysis, which was accomplished using SPA (Ship Performance Analysis, Park et al., 2019) in conformation with ISO15016:2015. From a previous operation profile of the container, the standard operating conditions of mean draft were 12.5 m and 13.6 m, which were defined with the mean stowage configuration of each condition. Model tests, including the load-variation test, were conducted to validate new ship performance and for the speed-power analysis. The major part of the added resistance of container ship is due to the wind. To check the reliability of wind-resistance calculation results, the resistance coefficients, added resistance, and speed-power analysis results using the Fujiwara regression formula (ISO15016:2015) and Computational fluid dynamics (Ryu et al., 2016; Jeon et al., 2017) analysis were compared. Wind speed and direction measured using an anemometer were used for wind-resistance calculation and the wave resistance was calculated using the wave-height and direction-data from weather information. Also, measured water temperature was used to calculate the increase in resistance owing to the deviation in water density. As a result, the SPA analysis using measured data and weather information was proved to be valid and able to identify the ship's resistance propulsion performance. Even with little difference in the air-resistance coefficient value, both methods provide sufficient accuracy for speed-power analysis. The differences were unnoticeable when the speed-power analysis results using each method were compared. Also, speed-power analysis results of the 8,600 TEU container ship in two draft conditions show acceptable trends when compared with the model test results and are also able to show power increase owing to hull fouling and aging. Thus, results of speed-power analysis of the existing 8,600 TEU container ship using the SPA program appropriately exhibit the characteristics of speed-power performance in deal conditions.

• Journal of agriculture & life science
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• v.46 no.6
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• pp.59-65
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• 2012

This study evaluated the baby-leaf growth, leaf red color intensity, and phytochemical compounds, such as total phenols and total flavonoids using domestic Amaranthus accessions, to select promising germplasm for the use of baby-leaf vegetable. The 39 accessions, upper 15% of 262 Amaranthus germplasm collection showing high red color intensity in baby-leaf, measured as Hunter's a value, were primarily selected. The eleven accessions including IT199970, showing stable red color intensity in baby-leaf both in high-temperature and low temperature cultivation, were finally selected as promising germplasm for the use of baby-leaf vegetable Amaranthus. The leaf red color intensities when they were cultivated at low temperature period were generally higher than those at low temperature period, and all the eleven selected germplasm, including four Amaranthus sub-species and five unknown species, showed stable red color expression in baby-leaf. The total phenol and total flavonoid contents were also presented for finally selected germplasm including their baby-leaf fresh weights. These finally selected germplasm could be potentially used as baby-leaf vegetable resources, through fortifying the color balance of salad vegetable.

• Korean Journal of Remote Sensing
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• v.15 no.3
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• pp.227-238
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• 1999

In advance of launch, simulated radiances of the Ocean Scanning Multispectral Imager (OSMI) will be very useful to guess the real imagery of OSMI and to prepare for data processing of OSMI. The data processing system for OSMI which is one of sensors aboard Korea Multi-Purpose Satellite (KOMPSAT) scheduled for launch in 1999 is developed based on the SeaWiFS Data Analysis System (SeaDAS). Simulation of radiances requires information on the spectral band, orbital and scanning characteristics of the OSMI and KOMPSAT spacecraft. This paper also describes a method to create simulated radiances of the OSMI over the oceans. Our method for constructing a simulated OSMI imagery is to propagate a KOMPSAT orbit over a field of Coastal Zone Color Scanner (CZCS) pigment concentrations and to use the values and atmospheric components for calculation of total radiances. A modified Brouwer-Lyddane model with drag was used for the realistic orbit prediction, the CZCS pigment concentrations were used to compute water-leaving radiances, and a variety of radiative transfer models were used to calculate atmospheric contributions to total radiances detected by OSMI. Imagery of the simulated OSMI radiances for 412, 443, 490, 555, 765, 865nm was obtained. As expected, water-leaving radiances were only a small fraction (below 10%) of total radiances and sun glint contaminations were observed near the solar declination. Therefore, atmospheric correction is critical in the calculation of pigment concentration from total radiances. Because the imagery near the sun's glitter pattern is virtually useless and must be discarded, more advanced data collection planning will be required to succeed in the mission of OSMI which is consistent monitoring of global oceans during three year mission lifetime.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.219-224
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• 2020

The purpose of this study is mainly to provide theoretical basis of private security industry by analyzing the perception and flow of private security from the press-released materials according to periodic classification and duties through 'Big Kinds', a website of analyzing news big data. The research method has been changed to structured data to allow an analysis of various scattered unstructured data, and the keywords trend and related words by duties of private security were analyzed in growth period of private security. The perception of private security based on the results of the study was exposed a lot by the media through various crimes, accidents and incidents, and the issues related permanent position. Also, it tended to be perceived as a simple security guard, not recognized as the area of private security, and judging from the high correlation between private security and police, it was recognized not only as a role to assist the police force, but also as a common agent in charge of the public peace. Therefore, it should objectively judge the perception of private security, and through this, it is believed that it should be a foundation for recognizing private security as a main agent responsible for the safety of the nation and maintaining social orders.

• Journal of the Korean Applied Science and Technology
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• v.38 no.4
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• pp.1129-1142
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• 2021

This study was conducted to identify the impact factors of SBAR reporting education applied during clinical practice of nursing students on communication clarity, communication satisfaction, reporting confidence, and communication competency. Data collection period was from December 1st, 2019 to December 20th, 2019 and two nursing universities extracted conveniently for third graders who completed clinical practice for more than six weeks. The number of eligible applicants is 103 who received SBAR reporting and training and 113 who did not receive training. Data were analyzed by t-tests, one-way ANOVA, Pearson's correlation coefficient analysis using the SPSS 21.0 program. Positive correlation were between communication clarity and communication competency(r=.52, p<.001), and between reporting confidence and communication satisfaction(r=.53, p<.001), communication competency and reporting confidence(r=.46, p<.001). communication competency was a significant influence factor with communication clarity(𝛽=.28, p<.001), communication satisfaction(𝛽=.43, p<.001), and reporting confidence(𝛽=.15, p=.009) 49.0% explanatory power. In conclusion, it is necessary for nursing students to develop educational systems and teaching methods to strengthen the reporting system by identifying practical skills during clinical practice.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.73-99
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• 2021

The purpose of this study is to investigate the effects of podcast-produced reading activity programs on reading attitudes and communication skills of high-grade elementary school students. To that end, 20 fifth and sixth graders applied for a reading culture program conducted at N Public Library located in Seoul, Korea, were assigned as experimental and control groups. The total research period is from 8 October 2018 to 11 February 2019. and the class was conducted once a week for 90 minutes, six times for each group, and a total of 12 sessions. The results of this study can be summarized as follows; First, it was found that the reading activity program produced by podcast had a positive effect in all four areas: value domain, motivation·interest domain, habit·attitude, and expectation domain in the reading attitude of high-grade in elementary school. Second, communication skills were found to have a positive effect in all seven sub-areas, such as information collection and listening, overcoming stereotyped thinking, creative communication, self-disclosure, leading communication, and understanding of others' perspectives. In conclusion, the podcast-produced reading activity program had a positive effect on the reading attitude, communication ability, and media ability of high-grade in elementary school, suggesting that it is effective in applying various educational fields.