• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.825-835
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• 2018

This study is a descriptive research to examine the relationship between critical thinking disposition, clinical performance ability, and self-concept of nursing profession according to degree of self-leadership among nursing college students. The data were collected from 165 nursing students in 3rd & 4th grade using self-report questionnaire and analyzed by t-test, ANOVA, Pearson's correlation coefficient, and Multiple Regression. Self-leadership according to general characteristics showed significant differences according to grade, academic achievement, motivation, and major satisfaction. Self-leadership was found to have a positive correlation with critical thinking disposition, clinical performance ability, and self-concept of nursing professional. Analysis of the effects of general characteristics affecting sief-leadership, critical thinking disposition, nursing proFessional selF-concept and clinical performance on selF-leadership showed that they were explained by 49.9%, critical thinking disposition was the most important factor. This suggests that nursing students' self-leadership can be improved effectively by promoting critical thinking disposition. Also in reality, there are many difficulties such as the problems in the system of the majors, but it is necessary to operate a continuous education program to strengthen the self-leadership for the nursing college students by seeking various methods.

• Journal of Korean Neurosurgical Society
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• v.64 no.4
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• pp.534-542
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• 2021

Objective : While balanced crystalloid (BC) could be a relevant fluid regimen with buffer system compared with normal saline (NS), there have been no studies on the optimal fluid for surgery of an unruptured intracranial aneurysm (UIA). This study aimed to compare the effects of fluid regimens between NS and BC on the metabolic and clinical outcomes of patients who underwent surgery for UIA. Methods : This study was designed as a propensity score matched retrospective comparative study and included adult patients who underwent UIA clipping. Patient groups were categorized as NS and BC groups based on the types of pre-operative fluid and the amount of fluid administered during surgery. The primary outcomes were defined as electrolyte imbalance and acidosis immediately after surgery. The secondary outcomes were the length of stay in the intensive care unit (ICU) and duration from the end of the operation to extubation. Results : A total of 586 patients were enrolled in this study, with each of 293 patients assigned to the NS and BC groups, respectively. Immediately after surgery, serum chloride levels were significantly higher in the NS group. Compared to the NS group, the BC group had lower incidence rates of acidemia (6.5% vs. 11.6%, p=0.043) and metabolic acidosis (0.7% vs. 4.4%, p=0.007). As compared to NS group, BC group had significantly shorter duration from the end of the operation to extubation (250±824 vs. 122±372 minutes, p=0.016) and length of stay in ICU (1.37±1.11 vs. 1.12±0.61 days, p=0.001). Throughout multivariable analysis, use of BC was found to be significant factor for favorable post-operative results. Conclusion : This study showed that the patients who received BC during UIA clipping had lower incidence of metabolic acidosis, earlier extubation and shorter ICU stay compared to those who received NS. Therefore, using BC as a peri-operative fluid can be recommended for patients who undergo surgery for UIA.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.6
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• pp.119-132
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• 2011

Mobile devices such as smart phones have brought big changes to be called as 'mobile big bang' against which we can't go. Mobile banking service and MTS(Mobile Trading System) are freely available at any time, anywhere and we are able to activate communications between financial company staffs out of the office and take care of business works even remotely by using mobile devices. Mobile devices are approaching as 'smart mobile innovation' to improve an enterprise productivity and competitiveness, but threats which engaged in unfair trading behaviors or unwholesome business works in finance companies are increasing and the customer's information can be leaked out by using the nonpublic official information and mobile devices. Therefore, we have to analyze the potential problems and take the necessary countermeasures with preemptive steps to protect the customer's information and improve the financial trading soundness and fairness. In this paper, we would like to suggest countermeasures and threats against using the financial company's mobile devices focusing on the financial investment companies by 'Capital Market and Financial Investment Business Act'.

• The Korean Journal of Applied Statistics
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• v.33 no.6
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• pp.753-762
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• 2020

With an increasing interest in integrating artificial intelligence (AI) into interview processes, the Republic of Korea (ROK) army is trying to lead and analyze AI-powered interview platform. This study is to analyze the AI interview data using a unified non-crossing multiple quantile tree (UNQRT) model. Compared to the UNQRT, the existing models, such as quantile regression and quantile regression tree model (QRT), are inadequate for the analysis of AI interview data. Specially, the linearity assumption of the quantile regression is overly strong for the aforementioned application. While the QRT model seems to be applicable by relaxing the linearity assumption, it suffers from crossing problems among estimated quantile functions and leads to an uninterpretable model. The UNQRT circumvents the crossing problem of quantile functions by simultaneously estimating multiple quantile functions with a non-crossing constraint and is robust from extreme quantiles. Furthermore, the single tree construction from the UNQRT leads to an interpretable model compared to the QRT model. In this study, by using the UNQRT, we explored the relationship between the results of the Army AI interview system and the existing personnel data to derive meaningful results.

• Journal of the Korean Geotechnical Society
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• v.38 no.4
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• pp.59-70
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• 2022

There is a growing interest in evaluating earthquake damage and determining disaster prevention measures due to the magnitude 5.8 earthquake in Pohang, Korea. Since the liquefaction phenomena occurred extensively in the residential area as a result of the earthquake, there was a demand for research on liquefaction phenomenon evaluation and liquefaction disaster prediction. Liquefaction is defined as a phenomenon where the strength of the ground is completely lost due to a sudden increase in excess pore water pressure caused due to large dynamic stress, such as an earthquake, acting on loose sand particles in a short period of time. The liquefaction potential index, which can identify the occurrence of liquefaction and predict the risk of liquefaction in a targeted area, can be used to create a liquefaction hazard map. However, since liquefaction assessment using existing field testing is predicated on a single borehole liquefaction assessment, there has been a representative issue for the whole targeted area. Spatial interpolation and geographic information systems can help to solve this issue to some extent. Therefore, in order to solve the representative problem of geotechnical information, this research uses the kriging method, one of the geostatistical spatial interpolation techniques, and constructs a geotechnical information database for liquefaction and spatial interpolation. Additionally, the liquefaction hazard map was created for each return period using the constructed geotechnical information database. Cross validation was used to confirm the accuracy of this liquefaction hazard map.

• Journal of Bio-Environment Control
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• v.31 no.1
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• pp.52-59
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• 2022

Pest control treatment was carried out using an unmanned automatic pesticide spraying system that can spray pesticides on crops while moving autonomously to control pests in vegetable greenhouse. As a result of examining the control effect on tomato and strawberry on thrips (Frankliniella occidentalis) and greenhouse whitefly (Trialeurodes vaporariorum) pests, 85.6% of yellow flower thrips were found in tomatoes and 87.5% in strawberries, and 81.7% (tomato) and 80.6% (strawberry) of greenhouse whitefly. In addition, the control effect according to the pesticide treatment method showed a control effect of 81.7% of the chemical spraying treatment by manpower and 83.9% of the automatic moving pesticide spraying treatment (F=22.1, p < 0.001). When comparing the control effect between the two treatment sections, there was no significance, but the automatic transfer spraying treatment showed a 2.2% higher effect. On the other hand, as a result of comparing the spraying time of the drug, the automatic unmanned control sprayer had a spraying time of 5 min/10a, which took about 25 min less than the conventional manpower spraying time of 25-30 min/10a. Based on these results, it was judged that the automatic transfer spraying method could be usefully used for efficient pest control in the facility greenhouse during the peak period of development.

• The Journal of Engineering Geology
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• v.33 no.3
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• pp.475-487
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• 2023

We surveyed the distribution of soil layers on Dongdo and Seodo of Dokdo and measured the physical properties of the soils. To investigate the distribution of soil layers, the soil depth was measured directly in accessible locations, and visual observations of inaccessible locations were carried out using drones and boats. Soil depths ranged from 3 to 50 cm, and most soil layers had depths of 10~20 cm. Based on these results, a map of the soil layer was drawn using 5 cm intervals for soil depth. To analyze the soil characteristics of Dokdo, soil samples were collected from 13 locations on Dongdo and 13 locations on Seodo, in consideration of various geological settings. According to the results of grain size distribution tests, sand contents were >75%, and soil from Seodo contained more gravel-sized particles than that from Dongdo. Using the unified soil classification system (USCS) and textural classification chart of the United States Department of Agriculture (USDA), most of the soil samples from Dokdo are classified as sand, and some are classified as loamy or clayey sand. In addition, well-graded loamy or clayey sands are more common in Dongdo, and poorly graded sands with gravel are more common in Seodo. These results are expected to be important for studying soil characteristics on Dokdo.

• The Journal of Korean Philosophical History
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• no.27
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• pp.7-37
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• 2009

This paper handled the problem of 'the mind' suggested by Bojo-Jinul. On the whole, I explained three fields, Jinul's way to approach 'the mind', the theory of the nature and the theory of practice and enlightenment. This paper is based on the established research papers. However the part that I explained the 'no-mind' in the theory of the nature is different from the established researchers. It is the emphasized part to interefere with Kanhwa Meditation. In this part, I explained Bojo's way to approach 'the mind' in the viewpoint of Sujeungnon(the theory of practice and enlightenment). And I clarified that his thought had been showed in his work and his system of thought is composed of Donojeomsuron(the theory of sudden enlightenment and gradual cultivation) and Kanhwa-Seon(Kanhwa-meditation). It is the theory of the nature that we handles 'the problem' philosophically. So I studied the examples of the nature and then I researched 'Kongjeokyeongjisim(the mind of the light of the divine wisdom in the void)', the foundation of 'Donojeomsu(the sudden enlightenment and gradual cultivation)' and 'Musim (no-mind)', the foundation of Kanhwaron. Finally, I inquired into 'Donojeomsuron(the theory of sudden enlightenment and gradual cultivation)' and 'Kanhwaron(Kanhwa-Meditation)' as 'Sujeungron(the theory of practice and enlightenment)'.

• Journal of the Microelectronics and Packaging Society
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• v.30 no.2
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• pp.33-42
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• 2023

Throughout all industries, eco-friendliness is being promoted worldwide with focus on suppressing the environmental impact. With recent international environment policies and regulations supported by government, the electric vehicles demand is expected to increase rapidly. Battery system itself perform an essential role in EVs technology that is arranged in cells, modules, and packs, and each of them are connected mechanically and electrically. A multifaceted approach is necessary for battery pack bonding technologies. In this paper, pros and cons of applicable bonding technologies, such as resistance welding, laser and ultrasonic bonding used in constructing electric vehicle battery packs were compared. Each bonding technique has different advantages and limitations. Therefore, several criteria must be considered when determining which bonding technology is suitable for a battery cell. In particular, the shape and production scale of battery cells are seen as important factors in selecting a bonding method. While dealing with the types and components of battery cells, package bonding technologies and general issues, we will review suitable bonding technologies and suggest future directions.

• The Journal of Bigdata
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• v.7 no.1
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• pp.213-224
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• 2022

In logistics and distribution, Market Basket Analysis (MBA) is used as an important means to analyze the correlation between major sales products and to increase internal operational efficiency. In particular, the results of market basket analysis are used as important reference data for decision-making processes such as product purchase prediction, product recommendation, and product display structure in stores. With the recent development of e-commerce, the number of items handled by a single distribution and logistics company has rapidly increased, And the existing analytical methods such as Apriori and FP-Growth have slowed down due to the exponential increase in the amount of calculation and applied to actual business. There is a limit to examining important association rules to overcome this limitation, In this study, at the Main-Category level, which is the highest classification system of products, the utility item set mining technique that can consider the sales volume of products together was used to first select a group of products mainly sold together. Then, at the sub-category level, the types of products sold together were identified using FP-Growth. By using this sequential layer filtering technique, it may be possible to reduce the unnecessary calculations and to find practically usable rules for enhancing the effectiveness and profitability.