• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.172-177
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• 2021

As part of the digital era, a digital twin that simulates the weak part of a product by performing a stress test that reduces the lifespan of some expensive equipment that cannot be done in reality by accurately moving the real world to virtual reality is being actively used in the manufacturing industry. Due to the development of IoT, the digital twin, which accurately collects data collected from the real world and makes it the same in the virtual space, is mutually beneficial through accurate prediction of urban life problems such as traffic, disaster, housing, quarantine, energy, environment, and aging. Based on its action, it is positioned as a necessary tool for smart city construction. Although digital twin is widely applied to the manufacturing field, this study proposes a smart city model suitable for the 4th industrial revolution era by using it to smart cities and increasing citizens' safety, welfare, and convenience through the proposed model. In addition, when a digital twin is applied to a smart city, it is expected that more accurate prediction and analysis will be possible by real-time synchronization between the real and virtual by maintaining realism and immediacy through real-time interaction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.34-41
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• 2021

Sidewalks are facilities used for the safe and comfortable passage of pedestrians and are paved with blocks of various materials. Currently, Korea does not have a quantitative survey method for the pavement condition of sidewalks, so it is necessary to develop an efficient survey method. Drones are being used as an efficient survey tool in various fields, but there are limited studies in which sidewalks have been investigated. This study investigates the possibility of detection by limiting the missing sidewalk blocks using a drone. This study is an initial study on the development of a method for detecting damage in sidewalk blocks. For this, sidewalk blocks were artificially removed to simulate a dropout situation, and images were acquired with 0.7-cm resolution using a drone. As a characteristic of the point cloud data acquired through image pre-processing, there was high variance of the elevation of the points in the missing area of the sidewalk block. Using these characteristics, an experiment was conducted to detect the missing parts of the sidewalk block by applying four thresholds to the variance of the elevation of points included in the grid corresponding to the sidewalk area. As a result, the detection accuracy was shown with a positive detection ratio of 70-80%, omission errors of 20-30%, and commission errors lower than 2%. It is judged that the possibility of detecting missing sidewalk blocks is high. This study focused on detecting a simulated missing sidewalk block in a limited environment. Therefore, it is expected that an efficient and quantitative method of detecting damaged sidewalk blocks can be developed in the future through additional research with considerations of the actual environment.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.2
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• pp.263-277
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• 2021

Taint analysis techniques are popularly used to detect web vulnerabilities originating from unverified user input data, such as Cross-Site Scripting (XSS) and SQL Injection, in web applications written in JavaScript. To detect such vulnerabilities, it would be necessary to trace variables affected by user-submitted inputs. However, because of the dynamic nature of JavaScript, it has been a challenging issue to identify those variables without running the web application code. Therefore, most existing taint analysis tools have been developed based on dynamic taint analysis, which requires the overhead of running the target application. In this paper, we propose a novel static taint analysis technique using symbol information obtained from the TypeScript (a superset of JavaScript) compiler to accurately track data flow and detect security vulnerabilities in TypeScript code. Our proposed technique allows developers to annotate variables that can contain unverified user input data, and uses the annotation information to trace variables and data affected by user input data. Since our proposed technique can seamlessly be incorporated into the TypeScript compiler, developers can find vulnerabilities during the development process, unlike existing analysis tools performed as a separate tool. To show the feasibility of the proposed method, we implemented a prototype and evaluated its performance with 8 web applications with known security vulnerabilities. We found that our prototype implementation could detect all known security vulnerabilities correctly.

• Korean Journal of Community Nutrition
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• v.26 no.2
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• pp.77-92
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• 2021

Objectives: Food literacy (FL) can be an important concept that embodies the nutritional capabilities of individuals. The purpose of this study was to introduce the definition and core elements of FL from previous literature, to summarize measurement tools and intervention programs with FL, and to suggest the direction of future research and programs to integrate the concept of FL. Methods: The literature review was conducted through PubMed and Google Scholar databases by combining the search term 'food literacy' with 'definition', 'measurement', 'questionnaire', 'intervention', and 'program'. Among the 94 papers primarily reviewed 31 manuscripts that suited the purpose of the study were used for analyses. Results: There is no consensus on the definition of FL that encompasses the multidimensional aspects of the concept. The definitions of FL were slightly different depending on the authors, and the interpretation of the core elements also varied. Based on the review, we propose a framework of FL that is in line with the current discussion among international researchers. This focuses on the core elements adapted from health literacy, namely functional, interactive, and critical FL. Specifically, we suggest some detailed elements for interactive and critical FL, which were often the subject of divergent views among researchers in previous literature. We found that most of the tools in the reviewed literature provided information on validity and reliability and were developed for a specific target population. Also, most of the tools were focused on functional FL. Similarly, most of the interventions targeted functional FL. Conclusions: This study reviewed the definition and core elements of FL, available measurement tools, and intervention programs using validated tools. We propose the development of tools with sound reliability and validity that encompass the three core elements of FL for different age groups. This will help to understand whether improving food literacy can translate into better nutritional intake and health status among individuals and communities.

• Journal of vocational education research
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• v.36 no.2
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• pp.68-94
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• 2017

The purpose of this study is to provide basic data for the development of school education and employment policy by analyzing the differences between image of meister high school students anticipated by industrial HR managers and image actually perceived. For this, semantic differential method developed by Osgood (1957) was selected as the study tool. To find out images of meister high school students, validity of 50 adjectives suggested by Osgood and 21 additional adjectives used in previous studies was reviewed by 10 experts. Final 20 adjectives were selected by excluding adjectives that fail to satisfy validity of contents. Proportional sampling in metropolitan and non-metropolitan areas was done to select 350 final survey samples. A total of 600 surveys were distributed and 230 were returned. Return rate was 38.3%. The results of this study are as follows. First, image of meister high school students anticipated by industrial HR managers showed average score of 2.49, which indicates a positive image. In addition, factor analysis was performed to classify adjectives into groups, and they were divided into three factors including external factor, way of thinking factor, and internal (personality) factor. Second, image of meister high school students currently perceived by industrial HR managers showed average score of 3.24, which indicates a positive image. Third, image of meister high school students currently perceived by industrial HR managers was not as positive as image they anticipate.

• Economic and Environmental Geology
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• v.52 no.4
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• pp.313-322
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• 2019

SAR (Synthetic Aperture Radar) remote sensing data is a very useful tool for near-real-time identification of landslide affected areas that can occur over a large area due to heavy rains or typhoons. This study aims to develop an effective algorithm for automatically delineating landslide areas from the polarimetric SAR data acquired after the landslide event. To detect landslides from SAR observations, reduction of the speckle effects in the estimation of polarimetric SAR parameters and the orthorectification of geometric distortions on sloping terrain are essential processing steps. Based on the experimental analysis, it was found that the IDAN filter can provide a better estimation of the polarimetric parameters. In addition, it was appropriate to apply orthorectification process after estimating polarimetric parameters in the slant range domain. Furthermore, it was found that the polarimetric entropy is the most appropriate parameters among various polarimetric parameters. Based on those analyses, we proposed an automatic landslide detection algorithm using the histogram thresholding of the polarimetric parameters with the aid of terrain slope information. The landslide detection algorithm was applied to the ALOS-2 PALSAR-2 data which observed landslide areas in Japan triggered by Typhoon in September 2011. Experimental results showed that the landslide areas were successfully identified by using the proposed algorithm with a detection rate of about 82% and a false alarm rate of about 3%.

• The Journal of the Korea Contents Association
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• v.19 no.8
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• pp.630-640
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• 2019

This Study analysed subjective perceptions of culinary arts major students who participated in overseas employment program for providing vital information for future program development. The study adopted Q methodology as an analogizing tool and found four distinctive types. The first type is Link to Domestic Employment Type(Type 1, N=6), the second type is Finding New Enterprise needed Type(Type 2, N=8), the third one is Major Customized Language Education Demand Type(Type 3, N=3), and the last one is Major Divided Education Demand Type(Type 4, N=2). The results indicated that importance of establishing a bridge between overseas employment and domestic employment with providing specific information of domestic job recruiting process. It is also emphasized that informing extra available job placements for the students is vital. Lastly when the sub program were formed, it is necessary to divide students based on not only overseas employment destination but also their major.

• 재활복지
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• v.18 no.4
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• pp.165-186
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• 2014

The purpose of the study is intended to analysis on students adjustment of students with disabilities in a special class of the elementary school focused on KCI journals through a systematic review. This study was searched from papers published from Jan, 2004 to May, 2014 using KISS, DBPIA, RISS, Google databases. The key words were "inclusive education, special class, inclusive class, student with disabilities, school adjustment, school life, school adjustment scale, elementary school". Results of data analysis were follows; 1. A total of 35 papers were analyzed. Except for 6 papers published in 2004~2007, 29 papers were published after 2008.; 2. The participant of study subject was total 141. Students with intellectual disability were 61.7%. Students with learning disabilities were 17.0%.; 3. The assessment domain of study was analyzed total 51 data.; academic achievement and task performance (25.4%), class attitude and participatory behavior(23.5%), problem behavior(21.5%). The Study in student with intellectual disability was 10 assessment domains.; 4. The method of assessment was total 41.; the use of operational definition(56.1%), the development of test (17.1%), and the use of assessment tool(14.6%).

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.18 no.1
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• pp.43-55
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• 2019

Smart phone based navigation applications are very useful in everyday life. Cost-effective and user friendly navigation can be provided to the user by many applications available in market. Using the Smart phone these navigation applications provide accurate navigation for outdoor locations. But providing an accurate navigation underground space such as subway station is still a challenge. It is hence more convenient and appropriate for mobility services if the visitors could simply view the guidance of the subway station on their mobile phone, wherever and whenever it is needed. This study develops a algorithm for indoor navigation with the help of Augmented Reality(AR) and QR marker code from the entrance to the train platform for users. This indoor navigation uses AR and QR maker codes for two purposes: to provide the user link to the subway station location and to provide the current guidance details to the user. This Smart phone algorithm that uses a smart phone optical tool to decode the QR marker to determine the location information and provide guidance to the AR without indoor Maps. This algorithm also provides a module to guide mobility vulnerable to the Barrier Free route to destination.

• The Korean Journal of Archival Studies
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• no.53
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• pp.229-259
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• 2017

The purpose of this study is to find out the level of the classification system of the government-funded research institutes and to search the future direction of the classification scheme of these research institutes. As a result of analyzing the classification system and regulations of the 23 government-funded research institutes, it is found that the regulations of the records management of most institutions are basically based on other regulations before Public Records Act. In addition, there are not many institutions in which the record production system that reflects the Public Records Act is introduced, and the production and classification of the records are performed separately, and the classification scheme in which the organization classification and the functional classification are mixed is often used only as a reference tool for setting retention period. To overcome this situation, it is necessary to improve the regulation, classification scheme and system. The revision of the law at the national level and establishment of records management regulations at the institutional level should be made. A special classification scheme for 'research' which is a core function of the research institute should be designed and this classification scheme must be applied from the registration stage of records. The fact that the record management obligation is ignored and the production records are not properly managed is to deny the value of the research field records by themselves. I hope that the records management of government-funded research institutes will be moved in place as soon as possible and practical issues will be communicated to academia and good ideas for better development will be returned to the field of practice.