• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.2
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• pp.283-293
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• 2012

A new type of malware that extracts personal and account data over an extended period of time and that apparently is resistant to detection by vaccines has been identified. Generally, a malware is installed on a computer through network-to-network connections by utilizing Web vulnerabilities that contain injection, XSS, broken authentication and session management, or insecure direct-object references, among others. After the malware executes registration of an arbitrary service and an arbitrary process on a computer, it then periodically communicates the collected confidential information to a hacker. This paper is a systematic approach to analyzing a new type of malware called "winweng," a kind of worm that frequently made appearances during the first half of 2011. The research describes how the malware came to be in circulation, how it infects computers, how its operations expose its existence and suggests improvements in responses and countermeasures. Keywords: Malware, Worm, Winweng, SNORT.

• Archives of design research
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• v.20 no.3 s.71
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• pp.129-140
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• 2007

This study attempts to investigate the personalized schemes of interface for the interactive TV sonics enhancing the satisfaction of users from the standpoints of the user and to suggest designing guidelines. In the preface, firstly, the purpose as well as structure of the study were described, the characteristics of the interactive TV and the personalization were defined. Also, it was attempted to understand the development directions of the basic media for services. In addition, the data and elements that became the ground for this study were arranged, including the elements for designing interface, the appraisal method of usability to evaluate the requirements of users, etc. Then, the interfaces of "SkyTouch", an interactive TV sonics by Skylife having the number of users reaching one million at the moment, that is the representative runner in the interactive TV, were analyzed. Then the needs central to the navigation structure and layout for the convenience of users through the evaluation of usability were examined and arranged. In addition, the designing directions of personalized interfaces were studied in the interactive TV by analyzing the web portal sites which were being carried out prior to the personalized services. Based on the data investigated and analyzed previously, the guidelines for the interface design for the personalization of the interactive TV were suggested by classifying the navigation structure and layout, and the personalized interface design was proposed according to the suggested guidelines by applying them directly to "SkyTouch" that is currently carrying out the interactive sonics although it provides limited services in an independent style.

• Archives of design research
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• v.18 no.1 s.59
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• pp.17-26
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• 2005

Nowadays, display-contents are developing to an informative environment. that is under the logic of the media operating system. To perceive the media-environments and produce the cultural contents, the cultural designers seek to understand a skin structure from making up for shape. To appreciate operating system in data and database is not only systematization of form and contents of visual contents but also variety contents into multiple-platform and integrative environments. These days, the spectacle exhibition try to express for their surface design between algorithm of data and database. the information is expressing aesthetic which means presents the integrated contents through the play instinct environment to end-user. That was given web or game to participation is developing with the cellular device and ubiquitous computing system. in the linear perspective, the end-user should be immerse more and more hyper-simulation system because of the operating algorithm of database. To do this, human have need to get the information-ability from multi-platform society. In the virtual environment, database offer the experience of an unheard-of event to end-user that prepare the participants the circumstances priority of signifiers. To do that already based on a fixed sensibility endow with narrative of the freshness- experience.

• Science of Emotion and Sensibility
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• v.18 no.4
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• pp.59-74
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• 2015

When product or service provides unexpectedness the user would be satisfied, and lately some mobile applications and web services provide those unexpectedness. However, unexpectedness itself can make negative effects such as decrease of the ease of use, still studies about mobile application are focused on satisfaction from the usability. Therefore, we would study experimentally user experience changes caused by unexpectedness using serendipity in mobile application UX, and observe how those changes to affect to user satisfaction. In other words, we observed the relationship between factors such as the unexpectedness caused by interactions of mobile application, the serendipity provided game, perceived newness, perceived ease of use, perceived usability, and satisfaction. As a result, the serendipity has positive effect to the perceived newness and negative effect to the perceived ease of use, and perceived newness and perceived ease of use affect to perceived usability positively, and all three factors are have positive effects to the use satisfaction.

• Journal of Advanced Navigation Technology
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• v.16 no.5
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• pp.864-870
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• 2012

Voice pattern recognition technology to solve the problems of the existing problems and common issues that you may have in language learning content analysis. This is the first problem of language-learning content, online learning posture. Game open another web page through the lesson, but the concentration of the students fell. Have not been able to determine the second issue according Speaking has made the learning process actually reads. Third got a problem with the mechanical process by a learning management system, as well by the teacher in the evaluation of students and students who are learning progress between the difference in the two. Finally, the biggest problem, while maintaining their existing content made to be able to solve the above problem. Speaking learning dedicated learning programs under this background, voice pattern recognition technology learning process for speech recognition and voice recognition capabilities for learning itself has been used in the recognition process the data of the learner's utterance as an audio file of the desired change to a transfer to a specific location of the server or SQL server may be easily inserted into any system or program, any and all applicable content that has already been created without damaging the entire component because the new features were available. Contributed to this paper, active participation in class more interactive teaching methods to change.

• The Journal of Society for e-Business Studies
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• v.25 no.4
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• pp.143-154
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• 2020

With the increasing trend of making manufacturing system intelligent and autonomous, the introduction of robot-assist automation, like machine tending system for automated operation of CNC machine tools, is being actively carried out at many industrial sites. Most important part of this intelligent system to install machine tending system, is interface programming between the CNC machine tools and the industrial robot. Despite this importance, however, the machine tending system has many setup problems. it is necessary for difficult re-program of both controllers whenever a new CNC machine tool or robot is introduced. And, the helps of external engineers is required even though trivial changes due to the complex structure of the machine tending system. Authors of this paper introduces the integrated system of the interface between heterogeneous CNC machine tools and industrial robots. In addition, the digital twin implemented inside the machine tool controller enable shop-floor operators to change the interface programming easily. To implement this system, an integrated development environment for 1) an intelligent HMI platform that provide standardized interfaces to heterogeneous CNC machine tools and 2) a robot platform developing application software of various robots, was established. For easy un-tact environment, this paper explain the development of 3) a game-engine based web program of controlling and monitoring machine tending system remotely.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.6B
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• pp.908-920
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• 2010

In recent years, mobile phone market is saturated in number of user term. Associated service providers struggle to provide various mobile services such as Internet, e-commerce, game, music etc. to increase ARPU (average revenue per user) instead. In this study we explore the factors which affect price tabs of mobile communication. As a conceptual foundation, this study introduces user factors-users' propensity to use mobile phones-as independent variables and mobile service functions as mediating variables. The research model was phones-as independent variables and mobile service functions as mediating variables. The research model was tested with data from Web-based survey of 1,500 mobile users and analyzed by structural equation modeling (SEM). Our results suggest that user factors impact the usage of mobile service functions and mobile service functions for information and convenience are positively related to price tabs of mobile communication. Implications for mobile service providers and policy makers are discussed.

• Journal of Digital Contents Society
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• v.19 no.1
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• pp.11-18
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• 2018

The Dutch treat culture, which pays for the cost of having meetings with a large number of people, is located in the daily life of many modern people. In particular, the execution of Kim Young-ran is a more active Dutch treat. However, when going dutch, there is a case where the amount of money to be paid per person is not divided equitably and there is an ambiguous situation about who should pay more. Also if one person have to pay all of the payments because of the different payment method such as a cash or card, there is inconvenience to keep a record of the financial relationship each time. In this paper, we introduce an application that allows several people to easily calculate the amount of money to pay per person when eating together or calculating something. From our service, you can easily access with web-based service, manage the user's debts more conveniently through forming the group. In addition, we focused on convenient calculation of cost by setting remaining unit and reserve function which is a function to overcome the disadvantages of existing application. Also, we maintain fairness through games in situations where the users need to make a choice.

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.139-150
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• 2020

The data processing of this study focuses on the textom and social media words about three areas: 'Corona 19 and professional baseball', 'Corona 19 and professional baseball', and 'Corona 19 and professional sports' The data was collected and refined in a web environment and then processed in batch, and the Ucinet6 program was used to visualize it. Specifically, the web environment was collected using Naver, Daum, and Google's channels, and was summarized into 30 words through expert meetings among the extracted words and used in the final study. 30 extracted words were visualized through a matrix, and a CONCOR analysis was performed to identify clusters of similarity and commonality of words. As a result of analysis, the clusters related to Corona 19 and Pro Baseball were composed of one central cluster and five peripheral clusters, and it was found that the contents related to the opening of professional baseball according to the corona 19 wave were mainly searched. The cluster related to Corona 19 and unrelated to professional baseball consisted of one central cluster and five peripheral clusters, and it was found that the keyword of the position of professional baseball related to the professional baseball game according to Corona 19 was mainly searched. Corona 19 and the cluster related to professional sports consisted of one central cluster and five peripheral clusters, and it was found that the keywords related to the start of professional sports according to the aftermath of Corona 19 were mainly searched.

• Journal of Intelligence and Information Systems
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• v.25 no.4
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• pp.123-139
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• 2019

The job classification system of major job sites differs from site to site and is different from the job classification system of the 'SQF(Sectoral Qualifications Framework)' proposed by the SW field. Therefore, a new job classification system is needed for SW companies, SW job seekers, and job sites to understand. The purpose of this study is to establish a standard job classification system that reflects market demand by analyzing SQF based on job offer information of major job sites and the NCS(National Competency Standards). For this purpose, the association analysis between occupations of major job sites is conducted and the association rule between SQF and occupation is conducted to derive the association rule between occupations. Using this association rule, we proposed an intelligent job classification system based on data mapping the job classification system of major job sites and SQF and job classification system. First, major job sites are selected to obtain information on the job classification system of the SW market. Then We identify ways to collect job information from each site and collect data through open API. Focusing on the relationship between the data, filtering only the job information posted on each job site at the same time, other job information is deleted. Next, we will map the job classification system between job sites using the association rules derived from the association analysis. We will complete the mapping between these market segments, discuss with the experts, further map the SQF, and finally propose a new job classification system. As a result, more than 30,000 job listings were collected in XML format using open API in 'WORKNET,' 'JOBKOREA,' and 'saramin', which are the main job sites in Korea. After filtering out about 900 job postings simultaneously posted on multiple job sites, 800 association rules were derived by applying the Apriori algorithm, which is a frequent pattern mining. Based on 800 related rules, the job classification system of WORKNET, JOBKOREA, and saramin and the SQF job classification system were mapped and classified into 1st and 4th stages. In the new job taxonomy, the first primary class, IT consulting, computer system, network, and security related job system, consisted of three secondary classifications, five tertiary classifications, and five fourth classifications. The second primary classification, the database and the job system related to system operation, consisted of three secondary classifications, three tertiary classifications, and four fourth classifications. The third primary category, Web Planning, Web Programming, Web Design, and Game, was composed of four secondary classifications, nine tertiary classifications, and two fourth classifications. The last primary classification, job systems related to ICT management, computer and communication engineering technology, consisted of three secondary classifications and six tertiary classifications. In particular, the new job classification system has a relatively flexible stage of classification, unlike other existing classification systems. WORKNET divides jobs into third categories, JOBKOREA divides jobs into second categories, and the subdivided jobs into keywords. saramin divided the job into the second classification, and the subdivided the job into keyword form. The newly proposed standard job classification system accepts some keyword-based jobs, and treats some product names as jobs. In the classification system, not only are jobs suspended in the second classification, but there are also jobs that are subdivided into the fourth classification. This reflected the idea that not all jobs could be broken down into the same steps. We also proposed a combination of rules and experts' opinions from market data collected and conducted associative analysis. Therefore, the newly proposed job classification system can be regarded as a data-based intelligent job classification system that reflects the market demand, unlike the existing job classification system. This study is meaningful in that it suggests a new job classification system that reflects market demand by attempting mapping between occupations based on data through the association analysis between occupations rather than intuition of some experts. However, this study has a limitation in that it cannot fully reflect the market demand that changes over time because the data collection point is temporary. As market demands change over time, including seasonal factors and major corporate public recruitment timings, continuous data monitoring and repeated experiments are needed to achieve more accurate matching. The results of this study can be used to suggest the direction of improvement of SQF in the SW industry in the future, and it is expected to be transferred to other industries with the experience of success in the SW industry.