The lunar exploration autonomous vehicle operates based on the lunar topography information obtained from real-time image characterization. For highly accurate topography characterization, a large number of training images with various background conditions are required. Since the real lunar topography images are difficult to obtain, it should be helpful to be able to generate mimic lunar image data artificially on the basis of the planetary analogs site images and real lunar images available. In this study, we aim to artificially create lunar topography images by using the location information-based style transfer algorithm known as Wavelet Correct Transform (WCT2). We conducted comparative experiments using lunar analog site images and real lunar topography images taken during China's and America's lunar-exploring projects (i.e., Chang'e and Apollo) to assess the efficacy of our suggested approach. The results show that the proposed techniques can create realistic images, which preserve the topography information of the analog site image while still showing the same condition as an image taken on lunar surface. The proposed algorithm also outperforms a conventional algorithm, Deep Photo Style Transfer (DPST) in terms of temporal and visual aspects. For future work, we intend to use the generated styled image data in combination with real image data for training lunar topography objects to be applied for topographic detection and segmentation. It is expected that this approach can significantly improve the performance of detection and segmentation models on real lunar topography images.
If the inside of a building collapses due to a disaster such as fire, collapse, or natural disaster, the physical security inside the building is likely to become ineffective. Here, physical security is needed to minimize the human casualties and physical damages in the collapsed building. Therefore, this paper proposes an algorithm to minimize the damage in a disaster situation by fusing existing research that detects obstacles and collapsed areas in the building and a deep learning-based object detection algorithm that minimizes human casualties. The existing research uses a single camera to determine whether the corridor environment in which the robot is currently located has collapsed and detects obstacles that interfere with the search and rescue operation. Here, objects inside the collapsed building have irregular shapes due to the debris or collapse of the building, and they are classified and detected as obstacles. We also propose a method to detect rescue requesters-the most important resource in the disaster situation-and minimize human casualties. To this end, we collected open-source disaster images and image data of disaster situations and calculated the accuracy of detecting rescue requesters in disaster situations through various deep learning-based object detection algorithms. In this study, as a result of analyzing the algorithms that detect rescue requesters in disaster situations, we have found that the YOLOv4 algorithm has an accuracy of 0.94, proving that it is most suitable for use in actual disaster situations. This paper will be helpful for performing efficient search and rescue in disaster situations and achieving a high level of physical security, even in collapsed buildings.
From the beginning of the enactment and implementation of the Public Records Management Act, there has been a steady discussion on the establishment of local archives. Local archives include not only administrative records of local governments, but also private archives such as containing the lives of residents. Along with the academic discussion, there have been movements for local autonomy and decentralization. Currently, interest and discussion on private archiving are in the historical flow. In addition, private archiving has become a social concern because of the establishment of systems such as the Public Records Management Act and the Information Disclosure Act, the establishment of a digital environment, and the spread of the meaning and value of village community activities. There are several government agencies related to private archiving, and the grounds for performing their work are different, and there are many central administrative agencies to which they belong. Therefore, I propose that the National Archives take the lead and form a 'Consortium of Private archives Management Institutions'. The organization should promote first, cooperation of collection information and archives, second, coordination of tasks and functions between institutions, and third, establishment of a nationwide private archives management system. Now is our chance. Instead of reacting on an ad hoc basis, respond systematically with a long-term perspective.
Journal of the Korea Society of Computer and Information
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v.27
no.2
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pp.219-227
/
2022
This study is to structurally analyze the effect of authoritative, authoritarian, and permissive three-dimensional parenting behavior on pragmatic language ability in the field of child language development by using data from the Panel Study on Korean Children, which was completed and published in 2018. As a result of the study, looking at the effect of three-dimensional parenting behavior on children's language ability, first, the authoritative parenting behavior, which provides a clear direction for parents in raising their children, and takes a rational and consistent way, is effective in improving pragmatic language ability appeared to have a positive effect. Second, it was found that authoritarian parenting behavior that strictly controls children's behavior in the direction desired by parents and demands absolute obedience from children did not have a significant effect on the improvement of children's pragmatic language ability. Lastly, it was found that the permissive parenting behavior of the neglect type, which allows children to do whatever they want, has a negative effect on the children's pragmatic language ability. Based on these results, in order to equip children who will live in an era where creativity and problem-solving ability are important to have the ability to express themselves accurately, parenting behavior, which is a very important ecosystem for children's language development, needs to be done correctly.
The tomb complex of the royal family from the period of the Ungjin Baekje Kingdom (475 to 538 AD) in Gongju, Korea, contains the tomb of King Muryeong and other royal tombs. After the excavation of the tomb of King Muryeong in 1971, these tombs were opened up to the public, without the establishment of systems for their safety, conservation and management. The tombs have consequently experienced rapid environmental changes and suffered various damages. In this study, specific vulnerable parts inside the tombs were selected for deviation analysis using 3D scanning, and 3D image models were constructed on this basis. Progressive displacement was identified in tomb No. 5, and basic data for future investigations was acquired from tomb No. 6 and the tomb of King Muryeong. In the deviation analysis for the southern plastered wall of tomb No. 5, the damage was not found to exceed the ranges of ±18 mm and ±2 mm. However, the lintel stone was found to be sagging by 0.32 mm on average, and the distance between the walls to have increased by 0.36 mm on average. Direct water seepage occurring in tomb No. 5 is considered to be increasing the damage within the tomb, such as the dropping and sagging of the lintel. The 3D image models constructed in this study will play an important role as baseline data for future research, and can be used to discuss a secure conservation scheme for the tombs through cross-validation with precise measurement monitoring.
Journal of the Korean BIBLIA Society for library and Information Science
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v.33
no.3
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pp.77-101
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2022
In this study, the current status of the public library steering committee, which is operated in accordance with Article 30 Paragraphs 2 and 3 of the Libraries Act, was examined and understood through a survey, and the direction of the promotion and policy for revitalizing the steering committee was sought moving forward. As a result of the analysis performed, the number of operations is once or twice a year, and the decisions of the steering committee meetings are reported to their supervisors, yet the reporting and disclosure of the meeting minutes are not mandatory in terms of regulations, etc., and while the importance was recognized, it turned out that the operation was carried out formally due to the lack of personnel in charge. The primary factors for revitalizing the operation were investigated as the structure of the committee, the responsibilities and authority of the committee, and the assignment of dedicated staff, etc. While there was a high perception that the enactment of a standard ordinance (proposal) was necessary, the concerns about the inhibition of autonomy were also mentioned, and hence, it is necessary to enact a standard ordinance(proposal) that sufficiently guarantees autonomy. To revitalize the steering committee, it is necessary to find various utilization and operational plans by considering holding regular meetings, supplementing systems and regulations that can reflect meeting decisions, establishing subcommittees, and assigning dedicated staff.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2022.05a
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pp.377-380
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2022
An application called an app can be downloaded and used on mobile devices. Among them, Android-based apps have the disadvantage of being implemented on an open source basis and can be exploited by anyone, but unlike iOS, which discloses only a small part of the source code, Android is implemented as an open source, so it can analyze the code. However, since anyone can participate in changing the source code of open source-based Android apps, the number of malicious codes increases and types are bound to vary. Malicious codes that increase exponentially in a short period of time are difficult for humans to detect one by one, so it is efficient to use a technique to detect malicious codes using AI. Most of the existing malicious app detection methods are to extract Features and detect malicious apps. Therefore, three ways to select the optimal feature to be used for learning after feature extraction are proposed. Finally, in the step of modeling with optimal features, ensemble techniques are used in addition to a single model. Ensemble techniques have already shown results beyond the performance of a single model, as has been shown in several studies. Therefore, this paper presents a plan to select the optimal feature and implement a learning model for Android app-based malicious code detection.
This study applied the web crawling technique for extracting big data news on water quality accidents in the water supply system and presented the algorithm in a procedural way to obtain accurate water quality accident news. In addition, in the case of a large-scale water quality accident, development patterns such as accident recognition, accident spread, accident response, and accident resolution appear according to the occurrence of an accident. That is, the analysis of the development of water quality accidents through key keywords and sentiment analysis for each stage was carried out in detail based on case studies, and the meanings were analyzed and derived. The proposed methodology was applied to the larval accident period of Incheon Metropolitan City in 2020 and analyzed. As a result, in a situation where the disclosure of information that directly affects consumers, such as water quality accidents, is restricted, the tone of news articles and media reports about water quality accidents with long-term damage in the event of an accident and the degree of consumer pride clearly change over time. could check This suggests the need to prepare consumer-centered policies to increase consumer positivity, although rapid restoration of facilities is very important for the development of water quality accidents from the supplier's point of view.
Journal of the Korea Society of Computer and Information
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v.14
no.11
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pp.81-90
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2009
It is inevitable for college students to be confused when they first face university education, which requires them to be self-reliant and responsible, after finishing their course of education, which is passive under control of period and environment, in primary, middle, and high schools. Introduction to college courses, which require students to be subjective and responsible, to be taken after chronically and environmentally controlled primary and secondary education, are but confusing. In this stage, college education should provide ground for educational system so that students can escape from repetitively enforced way of studying of fixed curriculums and study creatively and subjectively while befitting each individual's aptitude. For instance, in programming classes in engineering school, students scholastic achievements are closely interrelated with the professor's educational principles. A change in method of education, from one previously focused on theoretical contents to one centered on practices and experiments, can reap good results. Also, as the need arose for introduction of practice-focused evaluation system, from recognition-centered professor evaluating system to enablement of actively developing creative and self-reliant way of learning, we applied the Rublic System. It is a feedback system that all or most students become the evaluators, of which the indicators of evaluation such as category, standard, and score are public. We have looked into whether or not there has been an improvement in GPAs of students, and if there exists an improvement then what efforts should be made to solidify the system.
This study provides the information about size, financial structure, profitability and growth of franchisors using financial data(asset, liability, equity, sales volume, operating income and net income) in uniform franchise offering circular of fair trade commission. The data were collected from 1,050 franchisors in various business fields: fast food, family restaurant, bakery, agriculture & fishery and liquor shop in the uniform franchise offering circular in 2012 and 2011. Results of this study are as follows: For company size, median of total assets was KRW 675 million and the accumulated median assets rate was 0.48%, but the accumulated median company numbers were 49.9%, which showed small size. For financial structure, 525 companies were below 200% debt ratio, while 314 (29.9%) companies were in over 200% debt, and 211 (20.1%) companies were impaired in capital. These also showed financial structure was vulunerable. For profitability, median of ROA for total companies were only 4.72%, which showed low profitability. For growth, median of growth rate for sales were 7.57% per year, which showed mature industry. In overall, the results showed franchisors should improve their financial status.
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