• Journal of Internet Computing and Services
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• v.3 no.1
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• pp.81-90
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• 2002

Large-scale distributed applications based on Internet and client/server applications have to deal with series of problems. Load balancing, unpredictable communication delays, and networking failures can be the example of the series of problems. Therefore. sophisticated applications such as teleconferencing, video-on-demand, and concurrent software engineering require an abstracted group communication, CORBA does not address these paradigms adequately. It mainly deals with point-to-point communication and does not support the development of reliable applications that include predictable behavior in distributed systems. In this paper, we present our design, implementation and performance analysis of the group communication using the CORBA-ORB. JAVA-RML and Socket based on distributed computing Performance analysis will be estimated latency-lime according to object increment, in case of group communication using ORB of CORBA the average is 14.5172msec, in case of group communication using RMI of Java the average is 21.4085msec, in case of group communication using socket the average is becoming 18.0714msec. Each group communication using multicast and UDP can be estimated 0.2735msec and 0.2157msec. The performance of the CORBA-ORB group communication is increased because of the increased object by the result of this research. This study can be applied to the fault-tolerant client/server system, group-ware. text retrieval system, and financial information systems.

• Journal of KIISE:Software and Applications
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• v.28 no.10
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• pp.720-731
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• 2001

Complexity metrics have been developed for the structured paradigm of software development are not suitable for use with the object-oriented(OO) paradigm, because they do not support key object-oriented concepts such as inheritance, polymorphism. message passing and encapsulation. There are many researches on OO software metrics such as program complexity or design metrics. But metrics measuring the complexity of classes at the OO analysis phase are needed because they provide earlier feedback to the development project. and earlier feedback means more effective developing and less costly maintenance. In this paper, we propose the new metrics to measure the complexity of analysis classes which draw out in the analysis based on RUP(Rational Unified Process). By the collaboration complexity, is denoted by CC, we mean the maximum number of the collaborations can be achieved with each of the collaborator and determine the potential complexity. And the interface complexity, is denoted by IC, shows the difficulty related to understand the interface of collaborators each other. We verify theoretically the suggested metrics for Weyuker's nine properties. Moreover, we show the computation results for analysis classes of the system which automatically respond to questions of the user using the text mining technique. As a result of the comparison of CC and CBO and WMC suggested by Chidamber and Kemerer, the class that have highly the proposed metric value maintain the high complexity at the design phase too. And the complexity can be represented by CC and IC more than CBO and WMC. We can expect that our metrics may provide us the earlier feedback and hence possible to predict the efforts, costs and time required to remainder processes. As a result, we expect to develop the cost-effective OO software by reviewing the complexity of analysis classes in the first stage of SDLC(Software Development Life Cycle).

• Sijohaknonchong
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• v.30
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• pp.147-164
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• 2009

The conclusion of this paper is as follows. First, the authentic syllable count of sijo can be summed up as following: Second, the structure of the statement can be summed up as following: 1) Each statement extremely excludes the use of modifiers to clarify the development of the logic. 2) The meaning of each of the three statement, chojang (the 1st statement), jungjang (the middle statement) and jongjang (the last statement), is connected to the previous one closely, so the text as a whole is perfect. 3) The last statement identifies itself as the conversion or conclusion of the whole text. Therefore, the last statement should begin with a connective adverb like 'Therefore' or 'Then'. But in ancient sijo works, this sort of connected adverb is normally omitted. 4) Each statement of sijo is composed of one of the 4 structures suggested below: a) subjective phrase + predicative phrase b) the formal clause + the latter clause c) location-indicating phrase + sentence d) objective phrase + predicative phrase Since the text of a sijo work is formed like this, sijo is said to be composed of three jang (statement) & six gu (phrase), which is the very feature that proves that sijo is a fixed form of verse.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.151-159
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• 2012

The purpose of this thesis is to figure out the mechanism that how can be shown the aesthetic distances of novel in the film. At discussion of the view point, novel can be told by two factors which are 'who is teller' and 'who is watcher' but in the film, novel's narration is divided into visual point and auditive point. And I will consider the phenomenon on the part of this difference. Next, I will argue about difference between novel and film from the Park Jongwon's aesthetic distances which interpreted Lee Munyeol's work. This thesis is going to observe that how the film adapted three types of view point and how that related the subject of the original novel. For this thesis, I tried to track 'the distances' between figure and identity, and reader and author. Also I did approach that how can be accepted the problem of 'aesthetic distance according to identity' based on this novel in the film and novel's text by reader. This study make a proposal or analysis to the differences between novels and films in terms of narrative point of view. Although it is shown by dividing into each chapter in novel and on connectivity in film, this paper finds out that both film and novel are shown the subject of reader's difference of the view point about 'author and director's identity'.

• Korean journal of communication and information
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• v.72
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• pp.7-51
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• 2015

Job seeking for young adults after college in South Korea is much fierce and highly competitive. Many job seekers tend to experience despair, frustration, and insecurity in such a dire social situation. This study focuses on the job seeking experiences of younger generation people by closely examining the self-introduction letters. This work pays keen attention to the narrative strategies and portrayal of the applicants' self-described activities in these forms of letters through a detailed textual and cultural analysis. In doing so, this analysis attempts to contextualize the complex structures of feeling for the part of young job seekers as well as various social factors and pressures that influence on them.

• Journal of Korean Society of Archives and Records Management
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• v.14 no.3
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• pp.127-151
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• 2014

This study aims to share a methodology for locality reproduction by concretely explaining the theoretical model, procedure, and practice of constructing the Port of Busan Image Digital Archive, based on the photographic and postcard images of the Port of Busan, the representative place of Busan. Among the open-source record management programs, Omeka was chosen in implementing the digital archive because of its suitability for image exhibition. After establishing the principles for archive implementation in accordance with the purpose of the archive, a basic investigation was conducted for the record collection. With the consent of the individuals and institutions that possess the related records on the Port of Busan, such as the National Archives of Korea, the Busan Museum, and the City of Busan, original image artifacts were thus collected. The collected artifacts were then described using the Dublin Core metadata and categorized by time period. The Port of Busan was classified through four distinctive spatial characteristics (transportation, historic, industrial, and living spaces). A total of 11 themes for the exhibition was then suggested. The Busan-Shimonoseki Ferry Boat was chosen as an example exhibition of transportation space.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1273-1284
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• 2016

In this paper, we analyzed the patents on machine learning using keyword network analysis and clique analysis. To construct a keyword network, important keywords were extracted based on the TF-IDF weight and their association, and network structure analysis and clique analysis was performed. Density and clustering coefficient of the patent keyword network are low, which shows that patent keywords on machine learning are weakly connected with each other. It is because the important patents on machine learning are mainly registered in the application system of machine learning rather thant machine learning techniques. Also, our results of clique analysis showed that the keywords found by cliques in 2005 patents are the subjects such as newsmaker verification, product forecasting, virus detection, biomarkers, and workflow management, while those in 2015 patents contain the subjects such as digital imaging, payment card, calling system, mammogram system, price prediction, etc. The clique analysis can be used not only for identifying specialized subjects, but also for search keywords in patent search systems.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.4
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• pp.635-643
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• 2014

Most of the web-based services are provided by a web browser. A web browser receives a text-based web page from the server and translates the received data for the user to view. There are a myriad of add-ons to web browsers that extend browser features. The browser's add-ons may access web pages and make changes to the data. This makes web-services via web browsers are vulnerable to security threats. A web browser stores web page data in memory in the DOM structure. One method that prevents modifications to web page data applies hash values to certain parts in the DOM structure. However, a certain characteristic of web-pages renders this method ineffective at times. Specifically, the user-input data is not pre-determined, and the hash value cannot be calculated prior to user input. Thus the modification to the data cannot be prevented. This paper proposes a method that both detects and inhibits any attempt to change to user-input data. The proposed method stores user-input from the keyboard and makes a comparison with the data transmitted from the web browser to detect any anomalies.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.10a
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• pp.278-281
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• 2018

The early Web technology was to show text information through a browser. However, as web technology advances, it is possible to show large amounts of multimedia data through browsers. Web technologies are being applied in a variety of fields such as sensor network, hardware control, and data collection and analysis for big data and AI services. As a result, the standard has been prepared for the Internet of Things, which typically controls a sensor via HTTP communication and provides information to users, by installing a web browser on the interface of the Internet of Things. In addition, the recent development of web-assembly enabled 3D objects, virtual/enhancing real-world content that could not be run in web browsers through a native language of C-class. Factors that evaluate the performance of existing Web applications include performance, network resources, and security. However, since there are many areas in which web applications are applied, it is time to revisit and review these factors. In this thesis, we will conduct an analysis of the factors that assess the performance of a web application. We intend to establish an indicator of the development of web-based applications by reviewing the analysis of each element, its main points, and its needs to be supplemented.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.3
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• pp.145-154
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• 2016

Because of the recent interest in the u-Health and development of IT technology, a need of utilizing a medical information data has been increased. Among previous studies that utilize various data mining algorithms for processing medical information data, there are studies of association rule analysis. In the studies, an association between the symptoms with specified diseases is the target to discover, however, infrequent terms which can be important information for a disease diagnosis are not considered in most cases. In this paper, we proposed a new association rule mining system considering the importance of each term using TF-IDF weight to consider infrequent but important items. In addition, the proposed system can predict candidate diagnoses from medical text records using term similarity analysis based on medical ontology.