• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.37 no.3
• /
• pp.199-208
• /
• 2019

As the number of available satellites increases and technology advances, image information outputs are becoming increasingly diverse and a large amount of data is accumulating. In this study, we propose a change detection method for high-resolution satellite images that uses transfer learning and a deep learning network to overcome the limit caused by insufficient training data via the use of pre-trained information. The deep learning network used in this study comprises convolutional layers to extract the spatial and spectral information and convolutional long-short term memory layers to analyze the time series information. To use the learned information, the two initial convolutional layers of the change detection network are designed to use learned values from 40,000 patches of the ISPRS (International Society for Photogrammertry and Remote Sensing) dataset as initial values. In addition, 2D (2-Dimensional) and 3D (3-dimensional) kernels were used to find the optimized structure for the high-resolution satellite images. The experimental results for the KOMPSAT-3A (KOrean Multi-Purpose SATllite-3A) satellite images show that this change detection method can effectively extract changed/unchanged pixels but is less sensitive to changes due to shadow and relief displacements. In addition, the change detection accuracy of two sites was improved by using 3D kernels. This is because a 3D kernel can consider not only the spatial information but also the spectral information. This study indicates that we can effectively detect changes in high-resolution satellite images using the constructed image information and deep learning network. In future work, a pre-trained change detection network will be applied to newly obtained images to extend the scope of the application.

• The KIPS Transactions:PartD
• /
• v.17D no.2
• /
• pp.129-146
• /
• 2010

Nowadays, XML has been favored by many companies internally and externally as a means of sharing and distributing data. there are many researches and systems for modeling and storing XML documents by an object-oriented method as for the method of saving and managing web-based multimedia document more easily. The representative tool for the object-oriented modeling of XML documents is UML (Unified Modeling Language). UML at the beginning was used as the integrated methodology for software development, but now it is used more frequently as the modeling language of various objects. Currently, UML supports various diagrams for object-oriented analysis and design like class diagram and is widely used as a tool of creating various database schema and object-oriented codes from them. This paper proposes an Efficinet Query Modelling of XML-GL using the UML class diagram and OCL for searching XML document which its application scope is widely extended due to the increased use of WWW and its flexible and open nature. In order to accomplish this, we propose the modeling rules and algorithm that map XML-GL. which has the modeling function for XML document and DTD and the graphical query function about that. In order to describe precisely about the constraint of model component, it is defined by OCL (Object Constraint Language). By using proposed technique creates a query for the XML document of holding various properties of object-oriented model by modeling the XML-GL query from XML document, XML DTD, and XML query while using the class diagram of UML. By converting, saving and managing XML document visually into the object-oriented graphic data model, user can prepare the base that can express the search and query on XML document intuitively and visually. As compared to existing XML-based query languages, it has various object-oriented characteristics and uses the UML notation that is widely used as object modeling tool. Hence, user can construct graphical and intuitive queries on XML-based web document without learning a new query language. By using the same modeling tool, UML class diagram on XML document content, query syntax and semantics, it allows consistently performing all the processes such as searching and saving XML document from/to object-oriented database.

• Journal of Climate Change Research
• /
• v.4 no.3
• /
• pp.201-210
• /
• 2013

In recent years, with the rising interest to reduce greenhouse gas emissions, the demand for using environmentally friendly product with low greenhouse gas emission is increasing in the printing industry as well. In this study, the carbon footprint of environmentally friendly product mineral paper that uses less plastic and wood than normal printing paper materials was analyzed by utilizing the life cycle assessment (LCA) technique. An analysis utilizing the LCA technique was done per the Korea carbon footprint certification guidelines and, for scope of study, it included the premanufacturing stage and manufacturing stage except for the use and disposal stages. As a result of the study, the emission coefficient of the mineral paper was calculated to be $0.81kg\;CO_2eq/kg$ and the emission from electricity usage of the entire greenhouse gas emission was calculated to be 45.85% ($0.37kg\;CO_2eq/kg$). In order to reduce greenhouse gas emission, required are the efforts to reduce the environmental loads by using energies that have relatively lower environmental loads, such as improvement in electricity usage efficiency and renewable energy, by increasing product completion rates during the manufacturing process of mineral paper.

• Journal of Convergence for Information Technology
• /
• v.11 no.3
• /
• pp.220-228
• /
• 2021

In this study, 20 middle-aged women aged from 35 to 55 were studied from October 12, 2020 to November 15, 2020 to find out the effects of improvement of facial skin of Jinyeosoo Clean Mist. Among the 20 participants, 10 were divided into experimental group and 10 control group. The Janus facial skin scope system (PSI Co.) used on the skin to measure pore, wrinkles, elasticity, UV pigmentation, and skin tone observed depending the difference in light sources. The facial examination took place 10 minutes after cleansing to stabilize and a total of 4 examinations were carried out after every week of using Jinyeosoo Clean Mist for 4 weeks. For statistical processing, SPSS statistics program 21.0 was utilized to compare the mean averages of pre-experimental and post-experimental data from the above two groups - the experimental group that used Jinyeosoo Clean Mist (hydrogen ion mist) 1 and 2 and the control group that did not use the subject products - and the corresponding sample t-test was used. As a result of the analysis, the group that used Jinyeosoo Clean Mist showed difference in pores (t=3.280, p<.05), wrinkles (t=4.353, p<.01) and elasticity (t=3.003, p<.05), skin tone(t=3.280, p<.01) under the statistical significance level.

• Journal of Korea Entertainment Industry Association
• /
• v.15 no.1
• /
• pp.53-62
• /
• 2021

After the first to present projected moving pictures to audiences, the film industry has been reshaping along with technological advancements. Through the full-scale introduction of visual effects-oriented post-production and digital technologies in the film-making process, the film industry has not only undergone significant changes in the production, but is also embracing the cutting edge technologies broadly and expanding the scope of industry. Not long after the change to digital cinema, the concept of artificial intelligence, first known at the Dartmouth summer research project in 1956, before the digitalization of film, is expected to bring about a big transformation in the film industry once again. Large volume of clear digital data from digital film-making makes easy to apply recent artificial intelligence technologies represented by machine learning and deep learning. The use of artificial intelligence techniques is prominent around major visual effects studios due to automate many laborious, time-consuming tasks currently performed by artists. This study aims to predict how artificial intelligence technology will change the film industry in the future through analysis of visual effects production cases using artificial intelligence technology as a production tool and to discuss the industrial potential of artificial intelligence as visual effects technology.

• Journal of Intelligence and Information Systems
• /
• v.29 no.1
• /
• pp.353-376
• /
• 2023

The global pandemic and the development of virtual and augmented reality technologies have led a metaverse boom that enables a lot of interactions in virtual worlds, and is being utilized in various fields such as business, government, and education etc. Despite the growing interest in the metaverse, its scope and definition are still unclear and the concept is still evolving, making it challenging to establish its governance. Governmental entities are also investing intensively in public metaverses to make public value and promote social welfare, but they are underutilized due to lack of systematic governance. Therefore, in this study, we propose a public metaverse governance framework and identify the relative importance of the factors. Furthermore, since a public metaverse should be accessible to anyone who wants to use, we explore the factors of shadow work and examine the ways to minimize it. Based on the socio-technical system theory, we derived public metaverse governance factors from previous literature and topic modeling and then generate a framework with 23 factors through expert interviews. We then tested relative priority of the factors using the analytic hierarchical process (AHP) from the experts. As a result, the top five overall rankings are: 'roles and responsibilities', 'standardization/modularization', 'collaboration and communication', 'law and policies', and 'availability/accessibility'. The academic implications of this study are that it provides a comprehensive framework for public metaverse governance, and then the practical implications include suggesting prioritized considerations for metaverse operations in the public sector.

• Korean Journal of Psychosomatic Medicine
• /
• v.7 no.2
• /
• pp.263-273
• /
• 1999

Headache is a symptom with varied etiologies and extraordinarily frequent. Headaches can be a symptom of another diseases, such as meningitis, subarachnoid hemorrhage or brain tumor, may represent the disease entity itself as the case in migraine. The international Headache Society criteria were the first to distinguish between primary and secondary headache disorders. When evaluating a patient who presents with headache, the physician abviously needs to identify or exclude the myriad conditions that can cause secondary headache and initial diagnostic workup should be considered. If patient meets the criteria for a primary headache disorder, treatment commonly initiated without additional neurodiagnostic tests. The headache type, its associated feature, and the duration and the intensity of the pain attack all can influence the choice of acute therapy in migraine. Pharmacologically, such as NSAIDs, combination analgesics, vasoactive antimigraineous drugs, neuroleptics, antidepressants, or corticosteroids. Other approches to managing headache include a headache diary to identify triggers, biofeedback, relaxation technique and behavioral modification. Daily preventive medication should be considered by his attack frequency and intensity, and maintained for 4 to 6 months. Tension-type headaches are distinguished between episodic and chronic tension-type headache, but physician must make sure that patient is not drug-overuse or independent during symptomatic abortive therapy or preventive medication. The most difficult headache patients to treat are those with chronic daily headache. They often have physical dependency, low frustration tolerance, sleep problems, and depression. So discontinuation of overused medication is crucial. New developments in migraine therapy are broadening the scope of abortive and prophylactic treatment choices available to the physician. The enhanced ease of the use of sumatriptan and DHE will likely increase patient compliance and satisfaction.

• The Journal of the Korea Contents Association
• /
• v.20 no.9
• /
• pp.296-307
• /
• 2020

Compared to the quantitative increase in women's workforce, women's status in the organization remains poor. When it needs diverse perspectives and flexibility cope with the environment, it is an urgent challenge for companies to manage women in organizations. In this study, it is explored the internal factors of the organization that allow women managers to be more immersed in the organization. While previous researches have focused mainly on employment equality policies, this study expands the scope of existing research by considering the organization's internal support factors, such as mentoring, education and training, and organizational atmosphere. The female manager panel data showed that mentoring, education and training, and organizational climate all increase the leading influence of female. This leading influence affects organizational commitment and mediated between organizational internal factors and organizational commitment. In other words, it has been found that it is important for female managers to take the initiative in their position as well as the internal support of companies for female managers to immerse themselves in the organization. This study could contribute to solving the dilemma of the use of women's workforce by companies that fail to recover all investment costs such as recruitment, education, training, and compensation of excellent women's workforce.

• Journal of Elementary Mathematics Education in Korea
• /
• v.18 no.3
• /
• pp.459-474
• /
• 2014

The purpose of this study was to investigate the effects of mathematical instruction using GSP program on the symmetrical figures learning and self-directed learning attitude. According to the pretest result, the experiment group and the comparison group showed to be homogeneous groups. The experiment group has learned symmetrical figures for 9 hours using the GSP program and the comparison group has learned for 9 hours using the traditional method(paper and pen lesson). As the posttests, self-directed learning attitude test and symmetry figure understanding test were performed. The results obtained in this research are as follows; First, there was a significant difference in symmetry figure understanding test between the experiment group which learned through GSP program and the comparison group which learned through traditional method. Since there showed a very high achievement in the experiment group which learned using GSP, it can be inferred that GSP was very effective in the lessons of symmetrical movements. Second, there was a significant difference in self-directed learning attitude test between the experiment group and the comparison group. This seems to be because the length of the sides of the figures, size of the angles of the figures etc can be verified instantly and the students can correct by themselves and give feedbacks when they use GSP program. Students preferred drawing using the GSP over drawing using rulers and pencils, and they showed interest in the GSP program and they did not have burden in being wrong in their study and studied in various methods. And as they become familiar with the GSP program, they even studied other contents beyond the scope presented in the textbook.

• Journal of Korean Society of Forest Science
• /
• v.110 no.2
• /
• pp.266-279
• /
• 2021

This study applied the e-PBL (e-Project-based learning) method for "Urban Forest Management" courses in the Department of Forest Science at S University to progress in university forest education. e-PBL effectively motivates self-directed learning, problem-solving, communication skills, and learners' responsibility by enabling them to choose, design, and perform their projects. Due to the COVID-19 pandemic in 2020, learners were encouraged to use online media to carry out projects and submit presentations for the campus forest. Learners' educational effects were subsequently investigated through a five-point Likert scale. This study discovered a positive effect on learners' motivation and interest (4.17) through e-PBL. Learners responded that e-PBL also helped their understanding regarding the subject (4.17). In addition, this study provided evidence that the e-PBL method was helpful in problem-solving (4.25), communication (4.33), and decision-making skills (4.21). According to learners' responses, there are positive indications that learners were satisfied with e-PBL. Learners responded that interactions and communications with team members could improve their understanding of the subject. Hence, there is scope for improving an efficient and successful e-PBL model suitable for university forest education by providing more efficient instructional time management, e-PBL method guidelines, and institutional support.