• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.39 no.4
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• pp.66-76
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• 2021

The purpose of this study was to analyze the transition process of Gyeongpo lake and to analyze the viewing characteristics of each period in the pavilion. The view characteristics at pavilion were analyzed by overlapping classification maps of landscape types by period with the view range map from pavilion. The circumference and area of Gyeongpo lake have been reduced to 15.2km and 3.9km² in the 1750s, 9.0km and 1.7km² in the 1933, and now 4.41km and 1.0km². By period, the largest decrease in the proportion of Gyeongpo lake viewed from Pavilion was Hwanseonjeong, which decreased by 48.0% from the 1750 to 2017. Hwallaejeong, Haeunjeong, and Hohaejeong were found to be impossible to view Gyeongpo lake as some of the adjacent lakes were changed to agricultural land. Pavilion has great significance as a space for traditional culture created in the background of humanities and natural environments. For the succession and development of Pavilion culture, it is necessary to use it as a cultural resource, to continuously manage the building, and to partially restore Gyeongpo lake considering the function of each pavilion.

• Journal of Convergence for Information Technology
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• v.12 no.4
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• pp.260-269
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• 2022

In this paper, We propose an anomaly detection model using deep neural network to automate the identification of outliers of the national air pollution measurement network data that is previously performed by experts. We generated training data by analyzing missing values and outliers of weather data provided by the Institute of Environmental Research and based on the BeatGAN model of the unsupervised learning method, we propose a new model by changing the kernel structure, adding the convolutional filter layer and the transposed convolutional filter layer to improve anomaly detection performance. In addition, by utilizing the generative features of the proposed model to implement and apply a retraining algorithm that generates new data and uses it for training, it was confirmed that the proposed model had the highest performance compared to the original BeatGAN models and other unsupervised learning model like Iforest and One Class SVM. Through this study, it was possible to suggest a method to improve the anomaly detection performance of proposed model while avoiding overfitting without additional cost in situations where training data are insufficient due to various factors such as sensor abnormalities and inspections in actual industrial sites.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.427-434
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• 2021

Modern people express their beauty through hair coloring, but hair can be damaged by repeated chemical treatments. In order to increase the durability of dyeing and minimize the hair damage, in this study, the acidic amino acids including aspartic acid (Asp) and glutamic acid (Glu) were used to post-treat hair during hair coloring. The post-treatment with 0.75% Asp and Glu solution was carried out at room temperature for 20 minutes after dyeing bleached hair with cherry red and blue silver colors. After repeated shampooing of 1, 5, 10, 15, 20, and 25 times, L^*a^*b^* value of dyed hair was measured to confirm the dyeing durability, and the changes in tensile strength, porosity, and surface properties of the hair were also analyzed to determine the condition of the hair. In the case of cherry red and blue silver staining, the Asp and Glu experimental group showed higher color persistence than the control group, and the Asp and Glu experimental group showed higher tensile strength, lower porosity and smooth surface properties than the control group. In particular, the Asp test group showed superior color persistence and lower hair damage than the Glu test group. This study, therefore, if damaged in dyeing and bleaching in the field of hair after treatment with asp glu a combination of hair cosmetics in the development of basic data look forward to be.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.181-199
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• 2021

Recently, financial companies are promoting chatbot services in line with the reduction of branches and the expansion of non-face-to-face services. However, it is difficult to expand the chatbot services at once in the presence of technical limitations and constraints of internal and external environment. Therefore, it is necessary to analyze the various situations of chatbot service to preemptively identify problems that can occur in stages and seek solutions. This study conducted interviews with 12 field practitioners and researchers to examine the intentions and behaviors of financial chatbot service users and interpreted them using TPB. The study revealed the characteristics of 'feelings and attitudes' such as convenience or inconvenience from the chatbot experience, 'subjective norms' such as herd behavior or the yearning for empathy of others, and 'behavioral control' according to the recognition of difficulty or convenience of chatbot use process. This study shows that this characteristic can affect the intention and actual behavior of users to use chatbot service continuously. In the future research, it is necessary to empirically study specific intentions and influence factors for actual users.

• Journal of Korean Society of Archives and Records Management
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• v.21 no.4
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• pp.137-162
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• 2021

This study aimed to examine the perception and experience of researchers in the field of mechanical engineering on research data creation and management, and suggest implications for research data management and services in the field. Research data management and services of domestic and foreign research institutes were investigated, and in-depth interviews were conducted with researchers belonging to domestic mechanical engineering research institutes to analyze the perception and conduction of research data creation and management according to four major categories: "research data, accountable conducting of research and compliance with research ethics, utility and effectiveness of research data management, and the value of sharing research data." To ensure effective research data management and services in mechanical engineering, it is necessary to conduct a data investigation on the process, type, and form of production to collect explicit metadata and implicit contextual information. It is also necessary to propose a plan to recognize research results using the publication of data journals and to prepare infrastructure such as a cloud-based system that supports safe data management and communication between researchers. In addition, it suggests that it is important for various officials in the research field to allocate roles and responsibilities for research data management and services at the organizational level.

• Journal of Advanced Navigation Technology
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• v.26 no.3
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• pp.172-178
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• 2022

In this paper, water meter AMR(automatic meter reading), one of the core technologies of smart water grid, using LoRa IoT network is studied. The main content of the research is to develop the network system and show the test results that one PC server receives the readings of water meters from multiple households through LoRa communication and stores them in the database, and at the same time sends the data to the web server database through internet. The system also allows users to monitor the meter readings using their smartphones. The hardware and firmware of the main board of the digital water meter are developed. For a PC server program, MDMS(meter data management system) is developed using Visual C#. The app program running on the user's smartphone is also developed using Android Studio. By connecting each developed parts, the total network system is mounted on a flow test bench in the laboratory and tested. For the fields test, 5 places around the university are selected and the transmission distances are tested. The test result show that the developed system can be applied into the real field. The developed system can be expanded to various social safety nets such as monitoring the living alone or elderly with dementia.

• Journal of Practical Agriculture & Fisheries Research
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• v.22 no.1
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• pp.99-112
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• 2020

A edible mushroom, Hypsizygus marmoreus is commercially cultivated. However, the researches of cultivation and physiological characteristics were not conducted in Korea. In this study, we conducted on artificial cultivation of H. marmoreus and elucidated the effect of light on the mycelial growth and fruit body development using LED light sources with different wavelength; blue (peak wave length 460nm), green(peak wave length 530nm), yellow(peak wave length 590nm), red(peak wave length 630nm), and white as positive control. Mycelial growth of H. marmoreus strains were inhibited about 30~40% in inhibition ratio under the illumination with blue, green, yellow LED light. However, red LED light was not inhibited. Elongation of stipe was effective under the long wave length such as yellow and red light. Abnormal fruit body was produced under the long wavelength and dark. However, development of pileus was effective under the short wavelength such as green and blue light. Also, as a result of cultivation with mixed light for high quality and harvest, many effective numbers and yields of fruiting bodies were obtained in the mixed treatment of blue and white light, and pileus developed well.

• Journal of Practical Agriculture & Fisheries Research
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• v.24 no.1
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• pp.41-48
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• 2022

This study was conducted to investigate effects of corn silage on final fattening performance, carcass characteristics, and gene expression of Hanwoo Longissimus dorsi muscle biopsy. Twenty one steers with initial body weight of control 291.5±6.5kg, corn silage 291.7.0±17.3kg were used for 18 months of fattening period. Average daily gain of corn silage tended to increase compared to control in early fattening period(p=0.092). Feed conversion ratio of corn silage was higher than control in early fattening(p=0.005). The animals in corn silage increased A grade 23% in meat quantity than the control. Myogenic gene expression on the Longissimus dorsi biopsy were compared between corn silage and control. The level of myosin heavy chain(MHC) I, IIX mRNA were greater than the control in the whole period(p<0.05). The level of Peroxisome proliferator-activated receptor γ (PPAR γ) mRNA was greater than the corn silage(p<0.05). Inconclusion, corn silage will be possible to use as an alternative concentrate feeding system.

• Journal of Practical Agriculture & Fisheries Research
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• v.23 no.2
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• pp.99-111
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• 2021

The connected farm that agricultural land, agricultural machinery and farmer are connected with an IoT gateway is in the commercialization stage. That has increased productivity, efficiency and profitability by intimate information exchange among those. In order to develop the educational program of intelligent agricultural machinery and the agricultural machinery safety education performance indicator, this study analyzed patent trends of agricultural machine with unmanned technology used in agriculture and efficiency technology applied advanced technologies such as ICT, robots and artificial intelligence. We investigated and analyzed patent trends in agricultural machinery of Korea, the USA and Japan as well as the countries in Europe. The United States is an advanced country in the field of unmanned technology and efficiency technology used in agriculture. Agricultural automation technology in Korea is insufficient compared to developed countries, which means rapid technological development is needed. In the sub-fields of field automation technology, path generation and following technology and working machine control technology through environmental awareness have activated.

• Journal of the Korean School Mathematics Society
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• v.24 no.4
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• pp.327-348
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• 2021

This study examines the effects of mathematics learning mentoring activities on mathematical knowledge for teaching (MKT) of pre-service mathematics teachers. We choose six pre-service mathematics teachers in the department of mathematics education at M University. The pre-service mathematics teachers conducted 1:1 mathematics learning mentoring for two hours at a times and twice a week for 15 weeks. The pre-service mathematics teachers submitted the mentor log, which recorded weekly learning and emotional observations. We collected the mentor log and the reflection log of pre-service mathematics teachers and the interviews with pre-service mathematics teachers. Based on the collected data, we analyzed the effects of MKT, the understanding of students, and pre-service mathematics teachers' introspection by mathematics learning mentoring. We obtained conclusions as follows. First, mathematics learning mentoring provides an opportunity for pre-service mathematics teachers to apply the theory of mathematical education to schools. Thus pre-service mathematics teachers express theoretical knowledge as practical knowledge. Second, mathematics learning mentoring helps pre-service mathematics teachers have the ability to understand students and provide opportunities to reflect on their attitudes as learners. Third, mathematics learning mentoring helps advance teaching activities by providing pre-service mathematics teachers with opportunities to reflect on their teaching activities. Finally, mathematics learning mentoring has positively influenced the change in pre-service mathematics teachers' beliefs and teaching intuition.