• Smart Media Journal
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• v.11 no.5
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• pp.9-16
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• 2022

Recently, agricultural sites are automating into digital agricultural smart farms by applying technologies such as big data and Internet of Things (IoT). These smart farms aim to increase production and improve crop quality by measuring the environment of crops, investigating and processing data. Production prediction is an important study in smart farm digital agriculture, which is a high-tech agriculture, and it is necessary to analyze environmental data using big data and further standardized research to manage the quality of growth information data. In this paper, environmental and production data collected from smart farm strawberry farms were analyzed and studied. Based on regression analysis, crop production prediction models were analyzed using Ridge Regression, LightGBM, and XGBoost. Among the three models, the optimal model was XGBoost, and R2 showed 82.5 percent explanatory power. As a result of the study, the correlation between the amount of positive fluid absorption and environmental data was confirmed, and significant results were obtained for the production prediction study. In the future, it is expected to contribute to the prevention of environmental pollution and reduction of sheep through the management of sheep by studying the amount of sheep absorption, such as information on the growing environment of crops and the ingredients of sheep.

• Journal of Practical Engineering Education
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• v.13 no.3
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• pp.515-532
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• 2021

The purpose of this study was to analysis of PBL for Korean Apprenticeship Program in Mechanical Engineering. The details of the study were as follows: First, the perception related to the PBL of Korean apprenticeship program was investigated. Second, the utilization and the operational difficulties of PBL for Korean Apprenticeship Program were investigated. Third, the supporting system for PBL was suggested. Research methods were literature research, questionnaire survey and FGI. The survey was conducted online from July 15 to August 14, 2021. A total of 515 respondents responded. A total of 108 in 515 respondents were in Mechanical Engineering. FGI conducted a total of 25 people who actual use PBL in the field of Korean Apprenticeship Program. Conclusions and suggestions based upon the result of this study are as follows. First, It is necessary to improve the utilization of PBL for Korean Apprenticeship Program in Industry. Second, PBL is necessary to apply optionally according to the job and field situation. Third, it is necessary to support system of evaluation for PBL in Korean Apprenticeship Program. Finally, related operation model and guideline need to be prepared for best practice.

• Journal of Cadastre & Land InformatiX
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• v.53 no.2
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• pp.53-66
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• 2023

Recently, there has been a significant interest in the development of autonomous driving simulation environment based on digital twin. In the development of such digital twin-based simulation environment, many researches has been conducted not only performance and functionality validation of autonomous driving, but also generation of virtual training data for deep learning. However, such digital twin-based autonomous driving simulation system has the problem of requiring a significant amount of time and cost for the system development and the data construction. Therefore, in this research, we aim to propose a method for rapidly designing and implementing a digital twin-based autonomous driving simulation system, using only the existing 3D models and high-definition map. Specifically, we propose a method for integrating 3D model of FBX and NGII HD Map for the Busan EDC area into CARLA, and a method for adding and modifying CARLA functions. The results of this research show that it is possible to rapidly design and implement the simulation system at a low cost by using the existing 3D models and NGII HD map. Also, the results show that our system can support various functions such as simulation scenario configuration, user-defined driving, and real-time simulation of traffic light states. We expect that usability of the system will be significantly improved when it is applied to broader geographical area in the future.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.415-436
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• 2023

In this study, we aimed to examine the level of implementation of the second comprehensive plan for promoting academic libraries (2019-2023) by analyzing key statistics of academic libraries and gathering perceptions from library staff. We analyzed the changes in major statistical indicators of libraries over the past five years. Additionally, we surveyed library staff to understand their overall perceptions of the plan and their attitudes towards the 17 sub-tasks outlined in it. The analysis of 369 survey responses revealed several key findings. Firstly, most respondents comprehended the plan well and frequently utilized it for developing their libraries' development and implementation plans. Secondly, the IPA results indicated that regardless of the type of university, there should be a continuous focus on facility improvement, teaching-learning support, and expanding access to academic resources. Efforts to develop library policies and strengthen human and financial resources were identified as crucial. Thirdly, four-year universities particularly emphasized the importance of expanding access to international academic resources compared to junior colleges. Conversely, junior colleges perceived foundational skill-building programs and inclusive services as more significant than four-year universities. The application of the IPA diagonal model revealed that the performance levels of all sub-tasks were lower than their perceived importance levels, suggesting the need for strategies to enhance effectiveness in future comprehensive plan formulation.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.217-225
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• 2024

To foster the core talents of the future, the development of diverse and substantial SW·AI education programs is required, and a systematic system that can assist public education in SW and AI must be established. In this study, we develop and combine SW·AI education modules to construct a SW and AI education program applicable to public education. We also establish a systematic education system and provide sustainable SW·AI education to elementary, middle, and high school students through 'Job's Garage Camp' based on various sharing platforms. By creating a sustainable follow-up educational environment, students are encouraged to continue their self-directed learning of SW and AI. As a result of conducting a pre-post survey of students participating in the 'Job's Garage Camp', the post-survey values improved compared to the pre-survey values in all areas of 'interest', 'understanding and confidence', and 'career aspirations'. Based on these results, it can be confirmed that students had a universal positive perception and influence on SW and AI. Therefore, if the operation case of 'Job's Garage Camp' is improved and expanded, it can be presented as a standard model applicable to other SW and AI education programs in the future.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.285-294
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• 2024

This study aims to enhance learners' creative and integrative thinking through the use of a practical music education program, facilitating high-quality artistic activities and the integration of various disciplines. To achieve this, a practical music education program incorporating the PDIE model was designed, and the content validity of the developed program was verified. Through this process, We have researched and described methodologies for multidisciplinary research that can be applied in practical music education. This paper focuses on the fourth session of the study, which deals with the creative and integrative education of practical music and mathematics. The mathematical theory of interest in this research is the Fibonacci sequence, fundamental to the golden ratio in art. The goal is to enable balanced and high-quality creative activities through learning and applying the Fibonacci sequence. Additionally, to verify the validity and effectiveness of the instructional plan, including the one used in the 15-week course, we have detailed the participants involved in the content validation, the procedures of the research, the research tools used, and the methods for collecting and analyzing various data. Through this, We have confirmed the potential of creative and integrative education in higher practical music education and sought to develop educational methodologies for cultivating various creative talents in subsequent research.

• Journal of The Korean Association of Information Education
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• v.19 no.1
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• pp.45-56
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• 2015

This article examines the effects of a long term robot based instruction on the creativity of elementary students. To explain these effects, we conducted similar creativity test twice to 237 students of schools which had been designated as a robot based instruction model from 2011 to 2012. From these test results, the following three conclusions may be drawn: (1) The creativity of students who had participated in long term robot based instruction increased significantly, especially after the first test. (2) The fluency and originality as two of the sub-creativity factors are also accelerated significantly, especially after the first test. (3) The creativity of male and female students are all improved significantly but the test period factor and the interaction factor between male and female are not significant. (4) All elementary students of the lower grades(1st and 2nd grades), middle grades(3rd and 4th grades) and higher grades(5th and 6th grades) increased significantly but the test period factor and the interaction factor between the grades were not significant. On the other hand, the creativity improvement between lower-middle grades and higher grades is significant.

• Korean Journal of Remote Sensing
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• v.33 no.5_1
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• pp.455-467
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• 2017

When performing target detection using hyperspectral imagery, a feature extraction process is necessary to solve the problem of redundancy of adjacent spectral bands and the problem of a large amount of calculation due to high dimensional data. This study proposes a new band selection method using the $L_{2,1}$-norm regression model to apply the feature selection technique in the machine learning field to the hyperspectral band selection. In order to analyze the performance of the proposed band selection technique, we collected the hyperspectral imagery and these were used to analyze the performance of target detection with band selection. The Adaptive Cosine Estimator (ACE) detection performance is maintained or improved when the number of bands is reduced from 164 to about 30 to 40 bands in the 350 nm to 2500 nm wavelength band. Experimental results show that the proposed band selection technique extracts bands that are effective for detection in hyperspectral images and can reduce the size of the data without reducing the performance, which can help improve the processing speed of real-time target detection system in the future.

• The Journal of the Korea Contents Association
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• v.16 no.9
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• pp.286-296
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• 2016

The purpose of this study aimed to find the effect of self-esteem and communication competence on clinical practice stress of the Korean nursing students. A total of 198 nursing students participated in this study. Data collection was conducted through the use of questionnaires constructed to include the Rosenberg Self-esteem Scale, Global Interpersonal Communication Competence, and the Clinical Competence Scale. As a result, self-esteem, communication competence, and clinical practice stress of the Korean nursing students were found to be(Self-esteem: $3.4{\pm}0.57$; Communication competence: $3.5{\pm}0.42$; Clinical practice stress: $3.6{\pm}0.58$). Also, the nursing students with female(85.4%), experience of simulation on clinical training(72.2%) were found to have significantly higher clinical practice stress. Moreover, there were significant correlations between self-esteem and undesirable role model(r=.156, p=.029), communication competence and clinical practice stress(r=-.329, p<.001). The factors affecting clinical practice stress were communication competence, gender, satisfaction of clinical practice, and experience of simulation on clinical training. They amounted to 27.8% in clinical practice stress. The results indicate a need to develop effective teaching methods and learning strategies to decrease clinical practice stress of the nursing students.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.3
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• pp.345-355
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• 2017

The purpose of this study was to examine the validity and reliability of the Communication Skills Attitude Scale, which is used to examine communication learning attitudes for domestic nursing students. Study subjects were 401 nursing students at two nursing college who completed the CSAS scale consisting of 26 items from June 1 to 15. Data were analyzed using exploratory factor analysis, confirmatory factor analysis, internal consistency with IBM Statistics SPSS 21.0, and the IBM Statistics AMOS 21.0 program. To verify the construction factor of the scale, exploratory factor analysis with varimax rotation was performed, resulting in four factors but confirmed positive and negative attitudes two factors with 19 items considering the construct of theory and interpretability. The internal structure of the scale was schematized using confirmatory factor analysis, and goodness of fit of the final research model was very appropriate as shown by ${\chi}^2=446.475$ (df=148, p<0.001), TLI=.90, CFI=.91, RMSEA=.07, SRMR=.05. The final scale consisted of 19 items and two factors based on the confirmatory factor analysis. Cronbach's ${\alpha}$ for final scale was .90, showing internal consistency. The CSAS is expected to be useful to monitor the effectiveness of multiple teaching strategies about communication for domestic nursing students.