• Journal of Appropriate Technology
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• v.6 no.2
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• pp.190-199
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• 2020

The purpose of this study is to develop and implement the Appropriate Technology Science School program (ATSS) for youth operated by the Europe-Korea Conference on Science & Technology (EKC) since 2016. The development process consisted of pre-online management meetings, online and offline tutor training, operation of ATSS for youth, and satisfaction surveys. As a result of the development, the management team selected the mission-solving theme of "Transforming village using blockchain technology" through a pre-online meeting. The contents were reorganized according to the level of the participating tutees, and various learning activities such as co-building activities, games, and plays were newly introduced and developed first, and the programs developed through tutor training were demonstrated and improved. A total of 38 tutees and tutors from 6 countries participated in the 2018 ATSS. As a result, participants showed positive satisfaction overall. Tutees showed interest in dome co-building activities and hash function calculation activities, and tutors showed interest in lectures and monopoly games related to blockchain technology. The development and of the 2018 ATSS will contribute to the improvement of expertise in the operation of the EKC ATSS in the future to the management team. It will be an opportunity for tutors to experience that high-tech science and technology have a good impact on appropriate technology for the third world and community society. In addition, Tutees will be provided with an opportunity to indirectly experience the local situation and community society through a role play on the impact of blockchain technology on African villages.

• Journal of Korean Home Economics Education Association
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• v.32 no.1
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• pp.107-125
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• 2020

The purpose of this study was to analyze the dietary life units of Korean and American high school home economics textbook according to Habermas's three systems of action and to find out how the three systems of action are reflected in the learning objectives and activity tasks of the textbook. To achieve this purpose, this study analyzed the learning objectives and activity tasks of the dietary life units in the textbooks of 'technology & home economics' and 'home economics science' in Korea, and 'succeeding in life and career' in America using a content analysis technique based on Habermas's three systems of action. In analyzing the content, each learning objective or activity was matched with one of the three systems of action by examining the context. In some cases, two or more systems of actions were integrated in one activity. This is a case where a series of learning tasks that involve different action system were grouped into one. The numbers of learning objectives and activities of the units of 'technology & home economics', 'home economics science' textbooks of Korean high schools and 'succeeding in life and career' dietary life of American high schools were 3, 26, and 248, respectively. In Korean textbooks, the percentage of communicative action was highest among the three systems, that is, 66.7% for 'technology & home economics' textbooks and 50% for 'home economics science' textbooks. In comparison technical action was the highest in American textbooks at 66.5%. Activities related to technical action included cooking, conducting research on health and food, or conducting experiments. The activities related to communicative action included role play related to health and table manners, or writing reports after conducting surveys or interviewing professionals. The activities related to emancipative action were to social participation activities such as service project in relation to health and food, or to find problems that occur in dietary life and think about be best solution through practical reasoning.

• Journal of Korean Home Economics Education Association
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• v.20 no.3
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• pp.31-47
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• 2008

In this study the interpretive perspective means a point of view on educational curriculum in which in order to reach the understanding of the meaning of the behaviors and beliefs of human beings, and the historical and cultural products, the process of discussing on the basis of historical and cultural knowledge is very important. The developed curriculum means the one that consists of the goal of the curriculum, the contents of the curriculum, lesson plans, and the instruction-learning materials. This study has been carried out in four steps: conceptualization, development, application and evaluation. This study has tried to propose some changes in the contents of clothing life education on the basis of the interpretive perspective by firstly, assuming some core concepts that were related to clothing life education in Home Economics and secondly, organizing the contents of the clothing life culture area based upon historical and cultural materials. The results of the application of the developed curriculum came out positive. The strong points of the developed curriculum showed that for the students the curriculum was helpful in seeking answers to such questions as 'who I am' and 'what kind of being I am' through the perception of traditional culture and clothing life. In addition, the developed learning contents were recognized as new knowledge. It also showed that teaching contents with a focus on the interpretive perspective could play a role as reflection for the practice and for the arrival at the final perception. A weak point of the developed curriculum is that the Home Economics teachers themselves might find difficulty preparation for teaching this material because of their limited understanding and knowledge of the historical and cultural materials about clothing life.

• Journal of Biomedical Engineering Research
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• v.43 no.5
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• pp.341-352
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• 2022

Medical image segmentation is the most important task in radiation therapy. Especially, when segmenting medical images, the liver is one of the most difficult organs to segment because it has various shapes and is close to other organs. Therefore, automatic segmentation of the liver in computed tomography (CT) images is a difficult task. Since tumors also have low contrast in surrounding tissues, and the shape, location, size, and number of tumors vary from patient to patient, accurate tumor segmentation takes a long time. In this study, we propose a method algorithm for automatically segmenting the liver and tumor for this purpose. As an advantage of setting the boundaries of the tumor, the liver and tumor were automatically segmented from the CT image using the 2D CoordConv DeepLab V3+ model using the CoordConv layer. For tumors, only cropped liver images were used to improve accuracy. Additionally, to increase the segmentation accuracy, augmentation, preprocess, loss function, and hyperparameter were used to find optimal values. We compared the CoordConv DeepLab v3+ model using the CoordConv layer and the DeepLab V3+ model without the CoordConv layer to determine whether they affected the segmentation accuracy. The data sets used included 131 hepatic tumor segmentation (LiTS) challenge data sets (100 train sets, 16 validation sets, and 15 test sets). Additional learned data were tested using 15 clinical data from Seoul St. Mary's Hospital. The evaluation was compared with the study results learned with a two-dimensional deep learning-based model. Dice values without the CoordConv layer achieved 0.965 ± 0.01 for liver segmentation and 0.925 ± 0.04 for tumor segmentation using the LiTS data set. Results from the clinical data set achieved 0.927 ± 0.02 for liver division and 0.903 ± 0.05 for tumor division. The dice values using the CoordConv layer achieved 0.989 ± 0.02 for liver segmentation and 0.937 ± 0.07 for tumor segmentation using the LiTS data set. Results from the clinical data set achieved 0.944 ± 0.02 for liver division and 0.916 ± 0.18 for tumor division. The use of CoordConv layers improves the segmentation accuracy. The highest of the most recently published values were 0.960 and 0.749 for liver and tumor division, respectively. However, better performance was achieved with 0.989 and 0.937 results for liver and tumor, which would have been used with the algorithm proposed in this study. The algorithm proposed in this study can play a useful role in treatment planning by improving contouring accuracy and reducing time when segmentation evaluation of liver and tumor is performed. And accurate identification of liver anatomy in medical imaging applications, such as surgical planning, as well as radiotherapy, which can leverage the findings of this study, can help clinical evaluation of the risks and benefits of liver intervention.

• Molecules and Cells
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• v.43 no.4
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• pp.360-372
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• 2020

The basal ganglia network has been implicated in the control of adaptive behavior, possibly by integrating motor learning and motivational processes. Both positive and negative reinforcement appear to shape our behavioral adaptation by modulating the function of the basal ganglia. Here, we examined a transgenic mouse line (G2CT) in which synaptic transmissions onto the medium spiny neurons (MSNs) of the basal ganglia are depressed. We found that the level of collaterals from direct pathway MSNs in the external segment of the globus pallidus (GPe) ('bridging collaterals') was decreased in these mice, and this was accompanied by behavioral inhibition under stress. Furthermore, additional manipulations that could further decrease or restore the level of the bridging collaterals resulted in an increase in behavioral inhibition or active behavior in the G2CT mice, respectively. Collectively, our data indicate that the striatum of the basal ganglia network integrates negative emotions and controls appropriate coping responses in which the bridging collateral connections in the GPe play a critical regulatory role.

• Journal of the Korean Regional Science Association
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• v.39 no.2
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• pp.47-61
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• 2023

Satisfaction on the residential environment is a major factor influencing the choice of residence and migration, and is directly related to the quality of life in the city. As online services of real estate increases, people's evaluation on the residential environment can be easily checked and it is possible to analyze their satisfaction and its determining factors based on their evaluation. This means that a larger amount of evaluation can be used more efficiently than previously used methods such as surveys. This study analyzed the residential environment reviews of about 30,000 apartment residents collected from 'Zigbang', an online real estate service in Seoul. The apartment review of Zigbang consists of an evaluation grade on a 5-point scale and the evaluation content directly described by the dweller. At first, this study labeled apartment reviews as positive and negative based on the scores of recommended reviews that include comprehensive evaluation about apartment. Next, to classify them automatically, developed a model by using Bidirectional Encoder Representations from Transformers(BERT), a deep learning-based natural language processing model. After that, by using SHapley Additive exPlanation(SHAP), extract word tokens that play an important role in the classification of reviews, to derive determining factors of the evaluation of the residential environment. Furthermore, by analyzing related keywords using Word2Vec, priority considerations for improving satisfaction on the residential environment were suggested. This study is meaningful that suggested a model that automatically classifies satisfaction on the residential environment into positive and negative by using apartment review big data and deep learning, which are qualitative evaluation data of residents, so that it's determining factors were derived. The result of analysis can be used as elementary data for improving the satisfaction on the residential environment, and can be used in the future evaluation of the residential environment near the apartment complex, and the design and evaluation of new complexes and infrastructure.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.30-36
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• 2022

In this paper, when the lighting and communication functions of the visible light communication system are used at the same time, we propose a technique to reduce the dimming level and flicker of the lighting. Visible light communication must satisfy both communication and lighting performance. However, the existing data code method results in reducing the brightness of the entire lighting. This causes deterioration of lighting performance and flicker phenomenon. To solve this problem, in this paper, we propose an adaptive learning code allocation technique that allocates binary codes to transmitted characters and optimizes and matches the binary codes allocated according to the frequency of occurrence of alphabets in character strings. Through this, we studied a technique that can faithfully play the role of lighting as well as communication function by allocating codes so that the 'OFF' pattern does not occur continuously while maintaining the maximum dimming level of each character string. As a result of the performance evaluation, the frequency of occurrence of '1' increased significantly without significantly affecting the overall communication performance, and on the contrary, the frequency of consecutive '0' decreased, indicating that the lighting performance of the system was greatly improved.

• The Journal of Korean Medicine
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• v.30 no.3
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• pp.1-14
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• 2009

Objectives : Alzheimer's disease (AD) is characterized by neuronal loss and extracellular senile plaque. Moreover, the cellular actions of ${\beta}$-amyloid (A${\beta}$ play a causative role in the pathogenesis of AD. This study was designed to determine whether Woo-Gui-Um, a commonly used Korean herbal medicine, has the ability to protect cortical and hippocampal neurons against A${\beta}_{25-35}$ neurotoxicity Methods : In the present study, the authors investigated the preventative effects of the water extract of Woo-Gui-Um in a mouse model of AD. Memory impairment was induced by intraventricularly (i.c.v.) injecting A${\beta}_{25-35}$ peptides into mice. Woo-Gui-Um extract was then administered orally (p.o.) for 14 days. In addition, A${\beta}_{25-35}$ toxicity on the hippocampus was assessed immunohistochemically, by staining for Tau, MAP2, TUNEL, and Bax, and by performing an in vitro study in PC12 cells. Results : Woo-Gui-Um extract had an effect to improve learning ability and memory score in the water maze task. Woo-Gui-Um extract had significant neuroprotective effects in vivo against oxidative damage and apoptotic cell death of hippocampal neurons caused by i.c.v. A${\beta}_{25-35}$. In addition, Woo-Gui-Um extract was found to have a protective effect on A${\beta}_{25-35}$-induced apoptosis, and to promote neurite outgrowth of nerve growth factor (NGF)-differentiated PC12 cells. Conclusions : These results suggest that Woo-Gui-Um extract reduces memory impairment and Alzheimer's dementia via an anti-apoptotic effect and by regulating Tau and MAP2 in the hippocampus.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.218-227
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• 2019

The term practical means that you actually use what you learn. Unlike that meaning, however, the curriculum is operated by specific majors of some professors. And we can be seen in many colleges. Jazz is a prime example. Jazz is a genre only for some maniacs and there is not much places to play on the pop scene. But this genre is now packaged as representative studies of practical music. This affects even cram schools, preparing for college entrance exams, while high school students are also learning, playing and preparing Jazz to take the exams. Of course, Jazz is a field of music, but it is a very sad reality, considering it can never be the mainstream of popular music. It has been 20 years since the department of practical music was established at a four-year university. The number of graduates will also be very large. Now that the role of a university is related to employment, it's time to look at how the graduates are getting jobs and whether they are working in music. And it will also be important to ensure that the curriculum of the department is reasonably managed to connect with employment in reality. Practical learning will be not only respond immediately to market changes but establishment and operation of education courses should be carried out accordingly. In this study, we will discuss curriculum of vocal at universities, concrete examples of operations, and reasonable vocal courses that can be connected to employment.

• Journal of Bio-Environment Control
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• v.31 no.1
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• pp.1-7
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• 2022

Strawberry is a stand-out cultivating fruit in Korea. The optimum production of strawberry is highly dependent on growing environment. Smart farm technology, and automatic monitoring and control system maintain a favorable environment for strawberry growth in greenhouses, as well as play an important role to improve production. Moreover, physiological parameters of strawberry plant and it is surrounding environment may allow to give an idea on production of strawberry. Therefore, this study intends to build a machine learning model to predict strawberry's yield, cultivated in greenhouse. The environmental parameter like as temperature, humidity and CO₂ and physiological parameters such as length of leaves, number of flowers and fruits and chlorophyll content of 'Seolhyang' (widely growing strawberry cultivar in Korea) were collected from three strawberry greenhouses located in Sacheon of Gyeongsangnam-do during the period of 2019-2020. A predictive model, Lasso regression was designed and validated through 5-fold cross-validation. The current study found that performance of the Lasso regression model is good to predict the number of flowers and fruits, when the MAPE value are 0.511 and 0.488, respectively during the model validation. Overall, the present study demonstrates that using AI based regression model may be convenient for farms and agricultural companies to predict yield of crops with fewer input attributes.