• The Journal of Sustainable Design and Educational Environment Research
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• v.19 no.4
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• pp.60-69
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• 2020

This research is a preliminary study to find out the module of 20 students in a classroom. This research investigated the widths of passages in the 30 classrooms of 5 elementary schools in Namyangju City, Korea. The conclusions were as follows: First, the area of unit for 1 student was 650 (W) × 950 (D). Second, the desk placements for most classrooms were one-way types (87%), and group-study types constituted 13%. Third, the width between the blackboard and the very front desk was 2.17 m. The width of passage between the very back seat and the backside lockers was 1.32 m. The width of passage between the sidewall and the nearby desk was 0.8 m. The width of passage between the window and the nearby desk was 0.8 m. The average widths of 2 vertical passages between the desks were respectively 0.67 m and 0.68 m. Fourth, the area of the teacher was 2.1-2.25 m × 2.16 m = 4.5-4.8 ㎡.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.3
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• pp.99-108
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• 2021

There are unrestricted conditions on the driver's face inside the vehicle, such as changes in lighting, partial occlusion and various changes in the driver's condition. In this paper, we propose a face identification system in an unrestricted vehicle environment. The proposed method uses a near-infrared (NIR) camera to minimize the changes in facial images that occur according to the illumination changes inside and outside the vehicle. In order to process a face exposed to extreme light, the normal face image is changed to a simulated overexposed image using mean and variance for training. Thus, facial classifiers are simultaneously generated under both normal and extreme illumination conditions. Our method identifies a face by detecting facial landmarks and aggregating the confidence score of each landmark for the final decision. In particular, the performance improvement is the highest in the class where the driver wears glasses or sunglasses, owing to the robustness to partial occlusions by recognizing each landmark. We can recognize the driver by using the scores of remaining visible landmarks. We also propose a novel robust rejection and a new evaluation method, which considers the relations between registered and unregistered drivers. The experimental results on our dataset, PolyU and ORL datasets demonstrate the effectiveness of the proposed method.

• Journal of Korea Society of Industrial Information Systems
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• v.25 no.6
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• pp.33-45
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• 2020

This paper aims to look at the perspective that the latest cutting-edge technologies are predicting individual diseases in the actual medical environment in a situation where various types of wearable devices are rapidly increasing and used in the healthcare domain. Through the process of collecting, processing, and transmitting data by merging clinical data, genetic data, and life log data through a user-participating wearable device, it presents the process of connecting the learning model and the feedback model in the environment of the Deep Neural Network. In the case of the actual field that has undergone clinical trial procedures of medical IT occurring in such a high-tech medical field, the effect of a specific gene caused by metabolic syndrome on the disease is measured, and clinical information and life log data are merged to process different heterogeneous data. That is, it proves the objective suitability and certainty of the deep neural network of heterogeneous data, and through this, the performance evaluation according to the noise in the actual deep learning environment is performed. In the case of the automatic encoder, we proved that the accuracy and predicted value varying per 1,000 EPOCH are linearly changed several times with the increasing value of the variable.

• Korean Journal of Cognitive Science
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• v.31 no.4
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• pp.155-178
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• 2020

People read in different settings, including when music is playing in the background. Whether the presence of music facilitates, hinders, or does not affect language processing is an on-going debate in the current literature. The present study used ERPs to examine the influence of music on orthographic, semantic, and syntactic processing by inspecting P2, N400, and P600 responses, respectively. A total of 60 participants judged the correctness of visually presented sentences while listening to music with lyrics, music without lyrics, or in silence. The results showed that the P2 and P600 effects were larger in the silent condition than in the music-with-lyrics condition, while there were no N400 differences among the conditions. This indicates that only lyrical music interferes with orthographic and syntactic language processing, while it has no, or minimal, effect on semantic processing. The results are discussed in relation to the background music interference effect.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.406-420
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• 2021

This study used Glaser's grounded theory method for the recognition of college students' majors in counseling psychology. Among the 3rd and 4th grade students majoring in counseling psychology, 19 students participated in the study, focusing on them for 5 months and collecting data through individual interviews. As a result of analyzing the data, 103 concepts, 26 subcategories, 9 upper categories, and 1 core category were derived. As a result of the study, first, the participants wanted to relieve the burden of people's hearts and had the hope of becoming a healer. Second, among the participants, in terms of their personality and aptitude for their major field, they perceived it as joy and satisfaction, such as 'It fits well with the major,' 'I made a good choice,' and 'It became a turning point in life.' However, they also recognized the incompatibility of the major, such as disharmony of aptitude, burden of the role of counselor, and rejection of major. Third, although participants showed usefulness in their major learning, their perception of the career path in their major was acting as anxiety and conflict, but their concerns and conflicts resulted in financial difficulties, poor job conditions, and emotional exhaustion caused by long-term study. The burden of job, fear of counseling job, limit of undergraduate graduation, uncertainty of career, etc. acted as an obstacle in choosing a major career. Fourth, as a result of analyzing the interview data of the participants, a core category called' understanding and growth and the will of the counselor to realize the dream' was derived. In conclusion, the participant's perception of their major is the change and growth of themselves, the formation of a healthy relationship with others, and satisfaction with the suitability of their major and their aptitudes. It turned out to have a lasting will to do.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.99-108
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• 2021

To determine clinical nursing instructors' teaching efficacy, students' clinical practice satisfaction, and confirm between correlation, and develop a plan for operating nursing education efficiently for clinical practice. Clinical practice could create an optimal learning situation. We applied CNITEs and CPS to measure clinical nursing instructor teaching efficacy and clinical practice satisfaction. The differences in teaching efficacy by the general characteristics were measured and analyzed; the higher the level of the participants' education, position, clinical career, and clinical teaching career, the higher their teaching efficacy. The higher the age at clinical practice, the higher the clinical efficacy of clinical practitioners with clinical career and higher education level students were more satisfied with the practice subject and nursing instruction than other categories. Therefore, in order to increase the satisfaction of nursing students' practice in the clinical field, we hope to improve various things that can be used not only teaching efficacy but also in clinical practice satisfaction.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.25-44
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• 2021

In a situation where OA papers are increasing, POI, which indexes how open the research activities of individual researchers are, is drawing attention. This study investigated the existence of OA papers and the OA method published in international academic journals by domestic LIS researchers, and derived the researchers' POI based on this. In addition, by examining the relationship between the POI index and the researcher's amount of research papers, the research sub field, and the foreign co-authors, it was analyzed whether these factors are relevant to the researcher's POI. As a result, there were 492 papers by 82 researchers whose OA status and method were normally identified through Unpaywall. Second, only 20.7% of papers published in international journals were open accessed, and almost cases were gold and green methods. Third, there were many papers in text mining in medical journals, and the papers opened in the green method are open in institutional repositories of foreign co-authors or transnational subject repositories such as PMC. Third, the POI index was relatively higher for researchers in the field of informetrics, machine learning than other fields. In addition, it was analyzed that the presence or absence of overseas co-authors is related to OA.

• Journal of Korean Library and Information Science Society
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• v.52 no.2
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• pp.107-126
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• 2021

A status analysis and focus group interviews with librarians, school librarians and experts were conducted to find a new direction for revitalization of 19 public libraries affiliated to the Chungcheongnam-do Office of Education in the context of the advent of a new educational environment following the 4th industrial revolution. Through the research method, the knowledge experience edu library through the library community school was set as the vision of a public library belonging to the Chungnam Office of Education. The direction of public library service as an edu-library was divided into specialization as an educational library, life cycle customized service, knowledge experience-oriented service, and 4th industrial revolution intelligent information society service. Based on the traditional functions of the library, the space that the future public library should have was presented as an experiential learning space. In this study, a specialized direction for strengthening the educational function of libraries belonging to the Chungnam Office of Education was presented, which will contribute to finding ways to cooperate with schools and school libraries, and will provide a basis for preparing directions for libraries belonging to other regional offices of education.

• Journal of the Korea Society for Simulation
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• v.31 no.1
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• pp.29-41
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• 2022

As one of the alternatives to solve the problem of unstable food supply and demand imbalance caused by abnormal climate change, the need for plant factories is increasing. Airflow in plant factory is recognized as one of important factor of plant which influence transpiration and heat transfer. On the other hand, Digital Twin (DT) is getting attention as a means of providing various services that are impossible only with the real system by replicating the real system in the virtual world. This study aimed to develop a digital twin model for airflow prediction that can predict airflow in various situations by applying the concept of digital twin to a plant factory in operation. To this end, first, the mathematical formalism of the digital twin model for airflow analysis in plant factories is presented, and based on this, the information necessary for airflow prediction modeling of a plant factory in operation is specified. Then, the shape of the plant factory is implemented in CAD and the DT model is developed by combining the computational fluid dynamics (CFD) components for airflow behavior analysis. Finally, the DT model for high-accuracy airflow prediction is completed through the validation of the model and the machine learning-based calibration process by comparing the simulation analysis result of the DT model with the actual airflow value collected from the plant factory.

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1633-1641
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• 2022

Urban population concentration and indiscriminate development are causing various environmental problems such as air pollution and heat island phenomena, and causing human resources to deteriorate the damage caused by natural disasters. Urban trees have been proposed as a solution to these urban problems, and actually play an important role, such as providing environmental improvement functions. Accordingly, quantitative measurement and analysis of individual trees in urban trees are required to understand the effect of trees on the urban environment. However, the complexity and diversity of urban trees have a problem of lowering the accuracy of single tree detection. Therefore, we conducted a study to effectively detect trees in Dongjak-gu using high-resolution aerial images that enable effective detection of tree objects and You Only Look Once Version 5 (YOLOv5), which showed excellent performance in object detection. Labeling guidelines for the construction of tree AI learning datasets were generated, and box annotation was performed on Dongjak-gu trees based on this. We tested various scale YOLOv5 models from the constructed dataset and adopted the optimal model to perform more efficient urban tree detection, resulting in significant results of mean Average Precision (mAP) 0.663.