• Journal of Gifted/Talented Education
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• v.23 no.4
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• pp.523-535
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• 2013

The purpose of the present study is to investigate the factors which affect academic achievements among gifted students' intellectual and personality characteristics. For this purposes, 125 science gifted students' learning ability test and NEO personality test data were collected and analyzed along with the school achievement scores. According to the results of this study, there are significant relationships between academic achievements and conscientiousness, executive function, and learning motivation. Based on the achievement level, there are positive correlation between academic achievement and conscientiousness in a high academic achievement group. For the middle academic achievement group, there are positive relationship with executive function and learning motivation attention but negative relationship with extraversion. For the low achievement group, concentration was the only factor highly correlated with academic achievement. For the high academic achievement group, conscientiousness is a significant predictors of academic achievement; for middle academic achievement group, executive function and learning motivation were the significant predictors; for low academic achievement group, concentration was the significant predictors of academic achievement. Results were discussed in terms of practical value of enhancing gifted students' academic achievement.

• Journal of the East Asian Society of Dietary Life
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• v.20 no.6
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• pp.975-986
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• 2010

College students represent a substantial market for fast food restaurant companies. In this sense, this research aims (1) to identify the attributes that influence college students' fast food restaurant selection, (2) to analyze how fast food restaurants perform with regards to those attributes using importance-performance analysis, and (3) to examine which attributes influence college students' satisfaction in a fast food restaurant context. Based on a literature review, 13 attributes that influence college students' fast food restaurant selection were derived. Then, using importance-performance analysis, it was found that among the 13 attributes, college students highly considered seven of them. Additionally, data analysis indicated that, currently, fast food companies perform well with regards to these seven attributes. More importantly, according to multiple regression analysis, among the seven attributes, value-related attributes (price, speed, location, and friendliness) were significantly related to college students' overall satisfaction.

• Journal of The Korean Association For Science Education
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• v.33 no.5
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• pp.1007-1020
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• 2013

This study investigated the perceptions and the characteristics of elementary teachers on teaching science-arts integrated activities. Twelve elementary teachers who have taught in the third to sixth grade science lessons participated in this study. Data was collected by individual interviews lasting 60 to 90 minutes. Interview questions were composed of three aspects: 1) how elementary teachers perceive science-arts integrated activities, 2) in what ways elementary teachers address science-arts integrated activities, and 3) what difficulties elementary teachers experienced in addressing science-arts integrated activities. The results showed that, first, elementary teachers agreed that science-arts integrated activities have educational value in science learning. Second, most teachers focused on improving understanding of science knowledge through teaching science-arts integrated activities, while several teachers put emphasis on having experience of arts as well as understanding of science knowledge. And third, teachers experienced difficulties due to insufficient teaching materials and time to prepare for teaching science-arts integrated activities. Based on the results, we suggested educational implications for utilization of science-arts integrated activities in elementary education.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.4
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• pp.25-34
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• 2017

In market-oriented, infinite competition era, even the world's top-tier companies can be collapsed suddenly. In order to continue to grow, a company must constantly introduce new value to the market. What is required in today's business environment is the manifestation of entrepreneurship. The purpose of this study is to examine the relationship between corporate entrepreneurship and business performance and organizational commitment. The results of the empirical analysis are based on the data from companies which have more than 20,000 employees and 30 years business history. Structural Equation Modeling analysis was conducted to confirm the relationship between corporate entrepreneurship, business performance, and organizational commitment. Also, multiple Regression Analysis was conducted to confirm the relationship between entrepreneurial competency, corporate entrepreneurship performance, and management expectation performance. The causality between latent variables was significant. As a result, it was proved that entrepreneurial competencies had the significant effect on both corporate entrepreneurship performance and management expectation performance. Also, the study result was proved that organizational commitment showed the mediating effect between entrepreneurial competencies and corporate entrepreneurship performance. Based on the study results, the needs for developing individuals equipping entrepreneurial competencies was identified for increased business performance which was accomplished through the manifestation of entrepreneurship.

• Korean Journal of Social Welfare
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• v.57 no.4
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• pp.343-370
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• 2005

This study is to find out factors that protect social workers in a medical setting from burnout. It is differentiated from the existing studies, which focused on factors or process causing burnout. The participants of the study were ten social workers, who have been working in a medical setting for at least seven years and were recognized as competent social workers by at least five other colleagues. The data were collected through intensive interviews. The contents of the interviews were analyzed by using Nvivo2, a computer software program for use qualitative study analysis. The result of this study categorized coping strategies that kept the social workers from burnout. Among such factors were their own admissions of having professional competency, feeling worthwhile and sense of accomplishment, having a firm belief system and value about their profession, teamwork, and their overall disposition. Additionally, they said that the support by their agency and the recognition and support by family contributed to their overall coping ability. Through this study, it was found that the social workers in medical setting were reducing risk factors related to burnout and overcoming them with various protective factors. These protective factors reflected the unique characteristics that social workers encounter in a medical setting. It was remarkable that 'developing and managing their professional competency' was emphasized most as a protective factor.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.1
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• pp.96-107
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• 2015

VANET technologies provide real-time traffic information for mitigating traffic jam and preventing traffic accidents, as well as in-vehicle infotainment service through Telematics/Intelligent Transportation System (ITS). Due to the rapid increasement of various requirements, the vehicle communication with a limited resource and the fixed frame architecture of the conventional techniques is limited to provide an efficient communication service. Therefore, a new flexible operation depending on the surrounding situation information is required that needs an adaptive design of the network architecture and protocol for efficiently predicting, distributing and sharing the context-aware information. In this paper, Vehicle-to-Infrastructure (V2I) based on communication between vehicle and a Road Side Units (RSU) and Vehicle-to-Vehicle (V2V) based on communication between vehicles are effectively combined in a new MAC architecture and V2I and V2V vehicles collaborate in management. As a result, many vehicles and RSU can use more efficiently the resource and send data rapidly. The simulation results show that the proposed method can achieve high resource utilization in accordance. Also we can find out the optimal transmission relay time and 2nd relay vehicle selection probability value to spread out V2V/V2I collaborative schedule message rapidly.

• KIPS Transactions on Computer and Communication Systems
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• v.9 no.3
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• pp.67-76
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• 2020

With the fast development in wireless communications and vehicular technologies, vehicular ad hoc networks (VANETs) have enabled to deliver data between vehicles. Recently, VANETs introduce a Vehicular Cloud (VC) model for collaborating to share and use resources of vehicles to create value-added services. To construct a VC, a vehicle should search vehicles that intend to provide their own resource. The single-hop search cannot search enough provider vehicles due to a small coverage and non-line-of-sights of communications. On the other hand, the multi-hop search causes very high traffics for large coverage searching and frequent connection breakages. Recently, many Roadside Units (RSUs) have been deployed on roads to collect the information of vehicles in their own coverages and to connect them to Internet. Thus, we propose a RSU-aided vehicular resource search and cloud construction mechanism in VANETS. In the proposed mechanism, a RSU collects the information of location and mobility of vehicles and selects provider vehicles enabled to provide resources needed for constructing a VC of a requester vehicle based on the collected information. In the proposed mechanism, the criteria for determining provider vehicles to provide resources are the connection duration between each candidate vehicle and the requester vehicle, the resource size of each candidate vehicle, and its connection starting time to the requester vehicle. Simulation results verify that the proposed mechanism achieves better performance than the existing mechanism.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2002.02a
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• pp.23-28
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• 2002

본 연구에서는 간단한 조작을 통하여 작물의 특성에 따라 진동방향을 조절 가능하게 함으로써 물리적 성질이 서로 다른 감자, 고구마, 마늘, 양파, 생강 등 거의 모든 뿌리작물의 수확에 이용할 수 있는 다목적 굴취기를 기구학적으로 설계하고, 뿌리작물 굴취기의 성능에 영향을 미치는 진폭, 진동수, 작업속도를 변화시킬 때 각각의 조합에 있어서 굴취판상의 특정한 점들의 운동궤적을 분석하고 이에 기초하여 굴취기의 설계변수와 작업에서의 설정변수 를 결정하고자 하였으며, 그 결과를 요약하면 다음과 같다. 1) 작업위치에 따라 굴취판 뒷부분(선별부)의 진동방향 조절이 가능하기 때문에 진동방향을 조절하면 물리적 성질이 서로 다른 감자, 고구마 마늘, 양파 등 거의 모든 뿌리작물의 수확에 이용할 수 있을 것으로 사료된다. 2) 굴취판의 궤적분석결과 진폭이 3mm일 때에는 캠 축의 회전속도와 작업속도에 관계없이 굴취작업이 불가능할 것으로 판단되었다. 진폭이 6mm일 때에는 작업속도 1.08km/hr에서 캠 축의 회전속도가 841rpm 이상이면 굴취작업이 가능할 것으로 판단되었고, 작업속도 2.16km/hr이상에는 굴취작업이 불가능할 것으로 판단되었다. 진폭이 9mm일 때에는 작업속도 1.08km/hr에서 작업할 때 사용한 캠축의 회전속도에 관계없이 굴취작업이 모두 잘 이루질 것으로 판단되었고, 작업속도 2.16km/hr에서는 캠축의 회전속도가 995rpm 일 경우에만 굴취작업이 가능할 것으로 판단되었으며, 작업속도 3.24km/hr에서는 작업위치나 캠축의 회전속도에 관계없이 모두 굴취작업이 불가능한 것으로 사료된다. 3) 작업속도를 1.08km/hr 이상으로 하려면 소요동력의 관점에서 볼 때 진폭은 크게하고 진동수는 작게 하는 것이 유리하기 때문에 진폭을 9mm이상 취하는 것이 바람직할 것으로 사료된다.회로 가장 많이 발생하였으며, 다음으로 밀양과 나주지역이 29회, 김제지역이 28회 등으로 많은 발생빈도를 보였다.생시 진화방법의 개발 등에 대한 기본data로서의 역할을 충분히 할 수 있을 것으로 사료된다. 평가되었다.us에 대하여 높은 것으로 나타났다.bangular에서 subrounded에 해당한다. 이러한 현저한 차이를 보이는 이유는 남극적 빙하성 환경 조건과 이 지역의 해양 퇴적학적 특성에 그 원인이 있다고 해석된다.ea. Our ancestors really began to drink teas from the period of Unified Sila on. This country turning to the Koryo dynasty, tea drinking manner began to prevail so much that drinking tea became a ceremony. Daring the Yi dynasty it was much camplicated to make and boil the leaf tea. As a result of the previous fact pure tea came to have disappeared and odorous pharmaceutical became prevailent. 7) For value of exploiting Kungjuk tea (ginger tea seasoned with phyllostachy and addition of honeyl) was the highest among many. The worth of developing all the teas among all the beverages was regarded as that high of 51%, while even the tea regarded as worthless obtai

• International Journal of Highway Engineering
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• v.12 no.4
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• pp.101-110
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• 2010

In this paper, it has been studied about the CRCO to maintain or rehabilitate the aged JCP. The CRCO and JCO was constructed at useless section of Seo-Hae-Ahn express highway in South Korea. The performance evaluation was conducted. Especially, it was focused on the roll of longitudinal reinforced steels inserted into the CRCO. On crack survey results from field construction section, the reflection cracks at joint of the existing pavement occurred in CRCO. However, due to the constraints of longitudinal reinforced steels, crack width was small. Total crack length and quantity in the CRCO more than that in the JCO. And crack spacing in the CRCO was narrower than it in the CRCP. Through the bonding strength test results, if the cold milling and cleaning as well as surface treatment is applied, there will be no debonding problem at interlayer in the early age. From analysis of the horizontal behavior at the joint, the longitudinal reinforced steels constrained crack width which became wider than initial state over time. Also, that steel in the CRCO reduced the horizontal movement due to temperature variation(4 times than that in the JCO). But, if interface is debonded, the roll decreased. Vertical VWG data showed that CRCO did not occur debonding problem at steel location, but there was some problem in JCO. It was confirmed by field coring. The tensile strain appeared in the CRCO, But the compressive strain occurred in the JCO in early age. Through the FWD test result, deflection in the CRCO was less than that in the JCO. And K value in the CRCO was greater than it in the JCO.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.4
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• pp.580-586
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• 2021

The CAT methodology is a numerical analysis technique using CAE. Recently, a methodology of applying artificial intelligence techniques to a simulation has been studied. A previous study compared the deformation results according to the injection molding process using a machine learning technique. Although MLP has excellent prediction performance, it lacks an explanation of the decision process and is like a black box. In this study, data was generated using Autodesk Moldflow 2018, an injection molding analysis software. Several Machine Learning Algorithms models were developed using RapidMiner version 9.5, a machine learning platform software, and the root mean square error was compared. The decision-tree showed better prediction performance than other machine learning techniques with the RMSE values. The classification criterion can be increased according to the Maximal Depth that determines the size of the Decision-tree, but the complexity also increases. The simulation showed that by selecting an intermediate value that satisfies the constraint based on the changed position, there was 7.7% improvement compared to the previous simulation.