• Journal of the Korean earth science society
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• v.41 no.5
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• pp.520-530
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• 2020

The purpose of this study was to investigate students' understanding of the terms presented on the information board in the Jinan-Muju National Geopark. To this end, a survey was conducted with 219 students (147 elementary, 41 middle, and 31 high school students) to determine the level of their perceptions of the geopark, and of the usefulness of the information board, and their understanding of the terms presented on the information boards of the National Geopark. To determine the students' understanding of terms, 10 representative information boards were selected and the entire content was converted into text. Afterwards, 256 key terms were extracted from the text through discussions with three experts, and these terms were presented to students to grasp their level of understanding. The results were as follows: First, the level of students' perceptions about the geopark was very low, so publicity and educational approaches are needed. Second, students were not interested in the information board and had a low level of understanding owing to the large amount of information and reading difficulties. Third, among the 256 terms, the number of terms that students found difficult to understand tended to decrease with increasing school grade: 80 for elementary school students, 53 for middle school students, and 31 for high school students. The reason the students had difficulty in understanding terms was that elementary school students had not yet learned the terms in the curriculum, whereas middle and high school students have difficulty understanding technical terms and Chinese characters. Therefore, the information board in the geopark will need to be easily translated into Chinese characters or additional explanations of technical terms need to be provided so that visitors can understand the concepts more easily.

• Journal of the Korean School Mathematics Society
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• v.10 no.1
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• pp.27-43
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• 2007

The aim of this paper is to develop a web-based learning system in order to motivate college students in the area of science and engineering to study college calculus. We designed and developed web-based contents, named MathBooster, using Mathematica, webMathematica and phpMath taking advantages of rapid computation and symbolic computation. The features of MathBooster consists of four parts: graphical representation of calculus concepts, textual illustrations of conceptual understanding, example-based step-by-step learning with phpMath, and quizzes with diagnostic feedback. After the MathBooster was practiced with engineering students, the formative evaluation was conducted with survey items composed in four categories: user responses, screen layout, practicing examples and diagnostic feedback in solving quizzes. The overall level of user satisfaction was statistically measured using SPSS. Those results indicate which parts of MathBooster are needed for future enhancement.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.83-96
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• 2018

Extracting keywords representing documents is very important because it can be used for automated services such as document search, classification, recommendation system as well as quickly transmitting document information. However, when extracting keywords based on the frequency of words appearing in a web site documents and graph algorithms based on the co-occurrence of words, the problem of containing various words that are not related to the topic potentially in the web page structure, There is a difficulty in extracting the semantic keyword due to the limit of the performance of the Korean tokenizer. In this paper, we propose a method to select candidate keywords based on semantic similarity, and solve the problem that semantic keyword can not be extracted and the accuracy of Korean tokenizer analysis is poor. Finally, we use the technique of extracting final semantic keywords through filtering process to remove inconsistent keywords. Experimental results through real web pages of small business show that the performance of the proposed method is improved by 34.52% over the statistical similarity based keyword selection technique. Therefore, it is confirmed that the performance of extracting keywords from documents is improved by considering semantic similarity between words and removing inconsistent keywords.

• Archives of design research
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• v.19 no.6 s.68
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• pp.27-32
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• 2006

TYME is an interactive typography program based on the ephemeral nature of time. It is a text based poetic tool, built with Processing. This project is presented as a performance that utilizes a computer with a display screen, a projector, and speakers. As the user types, white characters appear, flow on the score on the screen and trigger jazz sounds, then characters disappear into black space in several seconds on the screen like smoke. Typography from this invented instrument is evocative and wistful, and allows the user to associate with ephemeral time. While typing the characters as though playing an instrument at intervals of time, the user can freeze the motion and print out or save otherwise fleeting moment with a button. I intend to contain both characteristics: the amorphous shape of smoke and the elusive attribute of smoke for the expression of intangible and ephemeral time. Every alphabetic shape is derived from the video dips that I shot of smoke. The resulting alphabetic images are then programmed using the Processing scripting language and which can then be typed on the screen with a keyboard. TYME could be a model as a project that reflects the unfixed quality of digital typography, and as a design approach for interactive expressive typography by scripting code. This project also represents the characteristics of typographic play, which can be realized in an computational environment like this model.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.31 no.3
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• pp.29-50
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• 2020

The purpose of this study is to analyze the characteristics of the media contained in textbooks for students with disabilities based on the information processing model, and to find ways to utilize library materials for class improvement for them. To this end, the media included in the in-depth learning activities of the Korean language textbooks of the 2015 revised special education basic curriculum were analyzed. As a result of the analysis, it was found that students with disabilities received information mainly through vision, process information through understanding, and use language intelligence to produce results. Specifically, they accepts learning contents through illustrations and texts, processes the contents based on understanding such as reasoning and explanation, and then uses linguistic intelligence such as writing and speaking to produce results. Based on the results of this analysis, a practical method to utilize library materials in the Korean language class of students with disabilities was proposed as follows. Developing a variety of input mediums based on reading stages and collection mapping for students with disabilities. Providing book materials through reading and listening. Teaching appropriate methodological knowledge to self-directly solve advanced learning activities. In addition, developing types of writing and writing strategies that can help various production activities.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.4
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• pp.59-69
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• 2007

The scale of a natural disaster grows bigger and bigger every year. The government spends much of its budget on recovering the resulting damage on a national scale. It is important to shift the paradigm from taking measures after a disaster to that of taking preventive actions before a disaster in order to bring a fundamental resolution to such problems. In taking preventive actions and policies, it is necessary to integrate various kinds of advanced technologies including IT, high-tech information gathering technology and operational technology, and to predict and evaluate natural disasters on a comprehensive level. Although Korea is a country with a strong IT sector, most information gathering is still performed in paper. In particular, information about the areas of previous landslide occurrences and slopes remains on paper, which makes it difficult to share the information and to discern the contents, and also raises the possibility of missing documents. Thus this study set out to develop an information gathering and management system for cutting slopes using PDA from the perspective of information gathering, system compatibility, and information management. As a result, field information may be gathered in a variety of forms (location, photos, and texts) real-time. A rough judgment was also made of the stability of rock slopes using the SMR method on the field.

• The Journal of the Korea Contents Association
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• v.16 no.1
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• pp.179-189
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• 2016

The aim of this study was to find out the possibilities of humanistic education through text analysis of the picture books of Korean fairy tales dealing with poverty and to discuss the educational implications. For this, the two researchers drew the literal roles of poverty and property in the common narrative structure of seven subject books and discussed the humanistic educational implications. The results are as follows. Firstly, the poverty of a main character was related to good personalities rather than negative personalities such as indolent disposition and formed affirmative values. Secondly, divine existence or animal helpers offered property to the good man in a unrealistic manner so that it emphasized the meaning of reward on their good nature. Thirdly, the bad character of wicked men following the good men was focussed on and their greed for property was the evidence of their wickedness. Most of them were punished because of the wicked motive so that it apparently highlighted the lesson of the good triumphing over the evil by the binary opposition structure. Fourthly, all the fairy tales made the characters treated based on the each personality: punishment or reward. However, the reward was usually property so that the property itself was depicted as a kind of blessings. Based on those findings, some humanistic educational implications were discussed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.441-444
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• 2007

In present, physical distribution industry fields are offering more convenient services using RFID, but there is plenty of room for improvement. And then, utilizing advantages of RFID which quick and simple manages goods and GPS which gets information of position at the present, we implemented a physical distribution management system can manages the information for distribution process of goods easier. We can get much information that the number of loaded goods, the data of goods, the state of distribution, whether or not missing, etc. as attached a RFID reader to the truck. and when truck is moving, we can also obtain much information consumer want that the real time data of position, distribution routes, etc. for loaded goods as received a latitude and longitude from GPS. These information have recorded, managed, and linked Google map, we can grasp the distribution information of goods on World Wide Web service. Because this service is focus on the image not the text can give the information required by the consumer on visual, it is different from the existing service. At this point of time that the RFID and GPS have used in overall industry, If these services have researched and developed with transportation, tour, etc. industry as well as physical distribution, it is possible to utilize more widely.

• The KIPS Transactions:PartD
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• v.9D no.6
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• pp.1145-1156
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• 2002

We propose a web document transcoding technique that translates existing web pages designed for desktop computers into an appropriate form for hand-held devices connected to the wireless internet. By defining a content block based on a visual separation and using it as a minimum unit for analyzing and converting processes, we can get web pages converted more exactly. We also apply the reallocation of the content block and the generation of new index in order to provide convenient interface without left-right scrolling in small screen devices. These methods, compared with existing ways such as text level summary or partial extraction method, can provide efficient navigation and a full recognition of web documents. To gain those transcoding benefits, we propose the Layout-Forming Tag Analysis Algorithm that analyzes structural tags, which motivate visual separation and the Component Grouping Algorithm that extracts the content block. We also classify and rearrange the content block and generate the new index to produce an appropriate form of web pages for small display devices. We have designed and implemented our transcoding system in a proxy server and evaluated the methods and the algorithms through an analysis of transcoded results. Our transcoding system showed a good result on most of popular web pages that have complicated structures.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.9
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• pp.603-614
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• 2013

The popularity of mobile devices provides their users with a circumstance that services and information can be accessed wherever and whenever users need. Accordingly, various studies have been proposed personalized methods to improve accessibility of mobile users to information. However, since these personalized methods require users' private information, they gives rise to problems on security. An efficient way to resolve security problems is to estimate user information by using their online and offline behavior. In this paper, for this purpose, it is proposed a novel user information identification system that identifies users' personal and social information by using both his/her behavior on social network services and proximity patterns obtained from GPS data. In the proposed system, personal information of a user like age, gender, and so on is estimated by analyzing SNS texts and POI (Point of Interest) patterns, while social information between a pair of users like family and friend is predicted with proximity patterns between the users. Each identification module is efficiently designed to handle the characteristics of user data like much noise in SNS texts and missing signals in GPS data. In experiments to evaluate the proposed system, our system shows its superiority against ordinary identification methods. This result means that the proposed system can efficiently reflect the characteristics of user data.