• Korean Journal of Remote Sensing
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• v.33 no.4
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• pp.359-375
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• 2017

We developed fog detection algorithm (KNU_FDA) based on the optical and textural properties of fog using satellite (COMS) and ground observation data. The optical properties are dual channel difference (DCD: BT3.7 - BT11) and albedo, and the textural properties are normalized local standard deviation of IR1 and visible channels. Temperature difference between air temperature and BT11 is applied to discriminate the fog from other clouds. Fog detection is performed according to the solar zenith angle of pixel because of the different availability of satellite data: day, night and dawn/dusk. Post-processing is also performed to increase the probability of detection (POD), in particular, at the edge of main fog area. The fog probability is calculated by the weighted sum of threshold tests. The initial threshold and weighting values are optimized using sensitivity tests for the varying threshold values using receiver operating characteristic analysis. The validation results with ground visibility data for the validation cases showed that the performance of KNU_FDA show relatively consistent detection skills but it clearly depends on the fog types and time of day. The average POD and FAR (False Alarm Ratio) for the training and validation cases are ranged from 0.76 to 0.90 and from 0.41 to 0.63, respectively. In general, the performance is relatively good for the fog without high cloud and strong fog but that is significantly decreased for the weak fog. In order to improve the detection skills and stability, optimization of threshold and weighting values are needed through the various training cases.

• Journal of the Korean Society of Food Culture
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• v.32 no.3
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• pp.185-203
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• 2017

This research analyzed consumer culture and usage of sugar in modern times based on 12 modern popular Korean cooking books with sugar recipes. Procedures were formed via textual analysis. The outcomes of the study can be summarized in brief statements. According to "Banchandeungsok", "Booinpilj", and "Chosunmoossangsinsikyorijebeob", sugar was utilized in 34 out of 663 or 5.1% of cooked foods during the 1910s to 1920s. According to books such as "Ganpyounchosunyorijebeob", "Ililhwalyongsinyoungyangyoribeob", "Chosun's cooking of the four seasons", "Halpaengyoungoo", "Chosunyorijebeob", and "Required reading for housewife", sugar was added to 165 out of 998 or 16.5% of cooked foods during the 1930s. According to the books like "Chosunyorihak", "Chosunyoribeob", and "Woorieumsik", sugar was an ingredient in 241 out of 756 or 31.9% of cooked foods during the 1940s. Sugar depicted within the 12 modern popular Korean cooking books primarily functioned as an alternative sweetener, starch, sweet enhancer, preservative, and seasoning. Similar to illustrated sugar from modern popular Korean cooking books, sugar has continually been favored by Korean cooks starting from the 1910s with 5.1% usage, the 1930s with 16.5% usage, and the 1940s with 31.9% usage. Despite its short history, sugar's culinary importance in Korea has been on the rise ever since the early 1900s. Although sugar is an exotic spice in Korea, it has gained social, cultural, and symbolic recognition as well as practicality within Korean food culture. Thus, it has become more internalized and familiarized as an inseparable sweetness that characterizes current Korean food.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.11
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• pp.2544-2549
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• 2012

The computer programming education is very important to study the related subjects in computer science, and also in the technology education for the students finding employment. In this paper, we develop the assessment metrics to evaluate and apply the textual and visual programming in the computer education. Also, we analyze the validity for the programming languages and tools for the education and getting job of students, and choose the appropriate programming language/tool for programming education. And, we develop the curriculum for programming education, finally apply and analyze in computer education of university. Especially, we compare and analyze the effectiveness for the text based programming language(JAVA) and visual programming language/environment(LabVIEW) in the area of embedded/mobile/Web programming fields which are necessary in the related industry to the recent trend of IT technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.11
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• pp.2043-2051
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• 2017

Lately, In addition to the increased interest in the big data field, there is also a growing interest in application fields through the processing of big data. Opinion Mining is a big data processing technique that is widely used in providing personalized service to users. Based on this, in this paper, textual review of users' places is processed by Opinion mining technique and the sentiment of users was analyzed through k-means clustering. The same numerical value is given to users who have a similar category of sentiment classified as a clustering operation. We propose a method to show recommendation contents to users by predicting preference using collaborative filtering recommendation system with assigned numerical values and marking contents with markers on the map in order of places with high predicted value.

• Korean journal of communication and information
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• v.32
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• pp.75-111
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• 2006

The purpose of this study is to investigate the dependency level of news attributes on the government source and to measure up the impact of news negativity, press ideology, and the conflict level on the forementioned relationship in the context of the prime definer role of the government. The prime definer means that the official source such as the government may dominate media access and create media dependency on the issue and issue attributes. To test the research questions, the content analyses of both the government briefing materials and newspapers were conducted. Textual arguments regarding the new administrative capital were chosen for the analysis. The results showed that the government source played a prime definer role in framing issue attributes of news reporting. This prime definer role was not diminished even among the negative coverage about the chosen topic. However, press ideology and the conflict level influenced the relationship between news attributes and the government-released information in some extent.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.5
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• pp.2122-2140
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• 2020

Proper and precise embedding of commercial ads within Webpages requires Ad-hoc analysis and understanding of their content. By the successful implementation of this step, both publishers and advertisers gain mutual benefits through increasing their revenues on the one hand, and improving user experience on the other. In this research work, we propose a novel multi-level context-based ads serving approach through which ads will be served at generic publisher websites based on their contextual relevance. In the proposed approach, knowledge encoded in domain-specific and generic semantic repositories is exploited in order to analyze and segment Webpages into sets of contextually-relevant segments. Semantically-enhanced indexes are also constructed to index ads based on their textual descriptions provided by advertisers. A modified cosine similarity matching algorithm is employed to embed each ad from the Ads repository into one or more contextually-relevant segments. In order to validate our proposal, we have implemented a prototype of an ad serving system with two datasets that consist of (11429 ads and 93 documents) and (11000 documents and 15 ads), respectively. To demonstrate the effectiveness of the proposed techniques, we experimentally tested the proposed method and compared the produced results against five baseline metrics that can be used in the context of ad serving systems. In addition, we compared the results produced by our system with other state-of-the-art models. Findings demonstrate that the accuracy of conventional ad matching techniques has improved by exploiting the proposed semantically-enhanced context-based ad serving model.

• Textile Coloration and Finishing
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• v.21 no.2
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• pp.48-53
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• 2009

Reproduction of antique document is of importance with the concept of sharing the their contents and original aspects in terms of textual and artistic message. 'Pine tree ink stick' and 'Oil ink stick' are greatly enjoyed in their uses in the most written documentary works. Thus, it is said that the approach of this study has implied considerable meanings to cultural aspects. In this work, we have performed to investigate the reproduction and restoration study for antique documents. With comparison and analysis of some types of "ink stick", we have prepared several ink samples, controlling viscosity, surfactant, thickness agent, and applied these inks to the target antique document. Several reproduced samples showed a practical application possibility in terms of reproduction and restoration.

• Journal of Science and Technology Studies
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• v.11 no.2
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• pp.31-66
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• 2011

The main issue in Korean debates over genetically modified (GM) foods have been government's responsibility to guarantee consumers' right-to-know and make informed choice. Counter-experts' critique over the current regulatory processes based upon substantial equivalence have not been widely publicized. Through interviews and textual analysis, this paper explored three groups' performances in Korean GM food controversies-regulatory scientists, civil society organizations, and counter-experts. Analytic focus was made upon how each of the groups interact with current GM food regulations. While making conflicts with regulatory scientists and their 'discourse of compliance with global standards,' counter-experts were excluded from regulatory processes. This article suggests that the processes and contexts in which counter-experts failed to form strong alliance with other groups need to be examined in order to further understand the specific contours of Korean GM food controversies.

• The Journal of the Korea Contents Association
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• v.13 no.4
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• pp.427-439
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• 2013

With the fast development of complex science, lots of social networks are studied. We know that the social network is widely applied in analyzing issues in human culture, economics and web sciences. Recently we witness that some researchers began to compare the social network constructed from fiction literatures(literature social network) and the real social network obtained from practice. But we point that previous approaches for literature social network have some drawbacks since they completely depend on the biographical dictionary constructed for a designated literature. So since the previous approach focus on the few important characters and peoples around them, we can not understand the global structure of all characters appeared in the literature at least once. We propose one method to extract all characters appeared in the literature and how to make the social network from that information. Also we newly propose K-critical network by applying frequency of the named characters and the strength of relationship among all textual characters. Our experiment shows that the K-critical measure could be one crucial quantitative measure to compute the relationship strength among characters appeared in the object literature.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.3
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• pp.1702-1721
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• 2019

A workflow process (or business process) management system helps to define, execute, monitor and manage workflow models deployed on a workflow-supported enterprise, and the system is compartmentalized into a modeling subsystem and an enacting subsystem, in general. The modeling subsystem's functionality is to discover and analyze workflow models via a theoretical modeling methodology like ICN, to graphically define them via a graphical representation notation like BPMN, and to systematically deploy those graphically defined models onto the enacting subsystem by transforming into their textual models represented by a standardized workflow process definition language like XPDL. Before deploying those defined workflow models, it is very important to inspect its syntactical correctness as well as its structural properness to minimize the loss of effectiveness and the depreciation of efficiency in managing the corresponding workflow models. In this paper, we are particularly interested in verifying very large-scale and massively parallel workflow models, and so we need a sophisticated analyzer to automatically analyze those specialized and complex styles of workflow models. One of the sophisticated analyzers devised in this paper is able to analyze not only the structural complexity but also the data-sequence complexity, especially. The structural complexity is based upon combinational usages of those control-structure constructs such as subprocesses, exclusive-OR, parallel-AND and iterative-LOOP primitives with preserving matched pairing and proper nesting properties, whereas the data-sequence complexity is based upon combinational usages of those relevant data repositories such as data definition sequences and data use sequences. Through the devised and implemented analyzer in this paper, we are able eventually to achieve the systematic verifications of the syntactical correctness as well as the effective validation of the structural properness on those complicate and large-scale styles of workflow models. As an experimental study, we apply the implemented analyzer to an exemplary large-scale and massively parallel workflow process model, the Large Bank Transaction Workflow Process Model, and show the structural complexity analysis results via a series of operational screens captured from the implemented analyzer.