• Title/Summary/Keyword: securities

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Utilizing animation contents for e-learning performance enhancement: focus on private information security (대구경북 서비스 콘텐츠 활성화를 위한 애니메이션 콘텐츠가 학습성과의 연관관계 연구: 개인정보보안을 중심으로)

  • Jung, Jason J.
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.2
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    • pp.471-476
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    • 2011
  • As information and communication technologies (ICTs) has been developed, it is getting more important for internet users to consider many security issues (e.g., privacy protection). In this paper we claims that animation contents make a positive influence on teaching such computer securities, and investigate what features of animation contents will be the most important relationships with performance of the teaching process. Once we have obtained the survey results from students, two main features (i.e., characters and plots) of the animation contents have positively influenced the performance of e-learning systems.

Energy Aware Task Scheduling for a Distributed MANET Computing Environment

  • Kim, Jaeseop;Kim, Jong-Kook
    • Journal of Electrical Engineering and Technology
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    • v.11 no.4
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    • pp.987-992
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    • 2016
  • This study introduces an example environment where wireless devices are mobile, devices use dynamic voltage scaling, devices and tasks are heterogeneous, tasks have deadline, and the computation and communication power is dynamically changed for energy saving. For this type of environment, the efficient system-level energy management and resource management for task completion can be an essential part of the operation and design of such systems. Therefore, the resources are assigned to tasks and the tasks may be scheduled to maximize a goal which is to minimize energy usage while trying to complete as many tasks as possible by their deadlines. This paper also introduces mobility of nodes and variable transmission power for communication which complicates the resource management/task scheduling problem further.

Study on the WTO Disputes over the Korean Shipbuilding Industry in Relation to Export Credit (수출신용과 관련하여 우리나라 조선산업에 대한 WTO 무역분쟁 연구)

  • Lee, Koung-Rae
    • Korea Trade Review
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    • v.44 no.1
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    • pp.129-142
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    • 2019
  • This paper draws implications on the ship finance of the Korean ECAs for shipbuilding industry from the perspective of WTO ASCM through studying the trade disputes on export credits. In consideration of the underwriting practice on the case-by-case basis, the ECAs' law regimes and their ship finance programs as such would be judged not conferring a benefit. The ship finance of international commercial banks could be treated as a market benchmark for the purpose of determining the existence of benefit in the ECA ship finance. The ECAs share securities with international commercial banks for the same exposure to the risks in a syndicate. Therefore, WTO DSB would rule that the ECA ship finance confers no benefit for individual transactions. The items (j) and (k-1) of ASCM Annex I are not allowed to interpret a contrario.

Analysis of PMIS Users Satisfaction and Loyalty Using Structural Equation Model

  • Kim, Min-Cheol;Lee, Hyung-Il;Cho, Sang-Ho;Kim, Ju-Hyung
    • Architectural research
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    • v.23 no.1
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    • pp.1-10
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    • 2021
  • Project management information systems (PMIS) have been implemented to support cooperation among the participants of construction projects. Unlike other information systems used by members from an organization with similar culture and business environment, the PMIS are members from one-off fragmented project organization with diverse professional background. Successful operation is significantly affected by the tendencies of client's side and individual awareness of participants. In this regard, it is imperative to evaluate the success of the system based on the individual characteristics of PMIS users. Thus, this study proposes a method for determining the system success by analyzing the extent of the effects of system factors such as System Quality, Information Quality, and Service Quality and individual factors such as a user's IT application ability, Extrinsic Motivation to achieve User Satisfaction, and loyalty. Accordingly, a structural equation model (SEM), an effective tool to examine of the comprehensive structure of a causal relationship, is applied for analysis because the internal awareness of individuals is established as a variable.

Profane or Not: Improving Korean Profane Detection using Deep Learning

  • Woo, Jiyoung;Park, Sung Hee;Kim, Huy Kang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.1
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    • pp.305-318
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    • 2022
  • Abusive behaviors have become a common issue in many online social media platforms. Profanity is common form of abusive behavior in online. Social media platforms operate the filtering system using popular profanity words lists, but this method has drawbacks that it can be bypassed using an altered form and it can detect normal sentences as profanity. Especially in Korean language, the syllable is composed of graphemes and words are composed of multiple syllables, it can be decomposed into graphemes without impairing the transmission of meaning, and the form of a profane word can be seen as a different meaning in a sentence. This work focuses on the problem of filtering system mis-detecting normal phrases with profane phrases. For that, we proposed the deep learning-based framework including grapheme and syllable separation-based word embedding and appropriate CNN structure. The proposed model was evaluated on the chatting contents from the one of the famous online games in South Korea and generated 90.4% accuracy.

A Comparative Analysis on the Perceptions of Users' and Financial Company Employees' on MyData Services: Using Q Methodology (마이데이터 서비스 수용 의도와 요인에 대한 사용자와 금융사 직원의 인식 비교 연구: Q 방법론을 활용하여)

  • Lee, Jungwoo;Kim, Chulmin;Song, Young-gue;Park, Hyunji
    • Journal of Information Technology Services
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    • v.21 no.3
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    • pp.1-25
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    • 2022
  • The financial MyData service has implemented in January 2022 and launched 45 services by banks, securities, credit cards and fintech companies. This study applied the Q methodology, to identify the user types of MyData services and compared the perceptions of employees of financial institutions who plan and develop the MyData services. There are three types of MyData service users: active users, limited users who focus on consumption and asset status inquiry, and sensitive users for personal information. There were two types of recognition of financial company employees. One is the active user support other is the sensitive user for personal information support. The analysis of subjective perceptions can be used as a reference for establishing a company's MyData service marketing strategy and establishing related policies to improve the MyData ecosystem.

A Study on the Development of Operational Indicators for the Introduction of Digital Transformation (디지털 트랜스포메이션 도입을 위한 운영 지표 개발에 관한 연구)

  • Seung Un Kim;Jooseok Park;Jeong Suk Jin
    • Journal of Information Technology Services
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    • v.22 no.4
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    • pp.37-51
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    • 2023
  • Digital transformation(DT) is about reinventing the enterprise, completely changing its vision, strategy, organizational structure, processes, capabilities, and culture. Therefore, companies preparing or embarking on DT must be able to identify their current status and assess their level for successful DT. In this study, we developed indicators to diagnose and evaluate the current level of a company for successful DT. The current level was actually evaluated by using the evaluation indicators developed for the financial industry (insurance, securities, etc.), an industry where DT is currently being successfully introduced. The most important aspect of this study is that it provides metrics to evaluate the adoption an progress of digital transformation when reinvention a company, rather than a partial view.

A Study on the Determinants of Information Systems Outsourcing Results for Securities Company (증권사의 정보시스템 아웃소싱 성과 영향요인에 관한 연구)

  • Chang, Han-Kyu
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.1433-1436
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    • 2011
  • 본 연구에서는 증권사 정보시스템의 아웃소싱 성과에 영향을 미치는 기업특성적 변인에 대해 파악하고자, 아웃소싱 수혜기업인 증권사의 조직 및 부문적 특성이 아웃소싱 정도의 매개효과를 통해 아웃소싱 성과(업무효용성, 업무능률성, 업무생산성, 예산감소율)에 어떠한 영향을 미치는지 실증적으로 검증하였다. 증권사의 조직적 특성(경쟁전략, 재무능력)이 아웃소싱 정도를 매개로 성과에 미치는 영향을 검증한 가설 1과 증권사의 부문적 특성(업무특수성, IT 자원, IT 역량)이 아웃소싱 정도를 매개로 성과에 미치는 영향을 검증한 가설 2를 실증분석한 결과, 경쟁전략, 재무능력, 업무특수성, IT 자원, IT 역량의 요인들이 아웃소싱 정도를 통해 업무효용성과 예산감소율에 영향을 주는 것을 확인할 수 있었다. 특히 재무능력, IT 역량 등이 업무효용성, 예산감소율과 같은 정보시스템 아웃소싱의 성과에 상대적으로 많은 영향력을 미치는 것으로 나타났으며, 정보시스템 아웃소싱 정도의 매개효과를 확인할 수 있었다.

A Study on the Prediction of Apartment Sale Price Using Machine Learning : Focused on the Collection of Internal and External Data and Price Prediction of Korean Apartments (기계학습을 이용한 아파트 매매가격 예측 연구 : 한국 아파트의 내·외적 데이터 수집과 가격 예측 중심으로)

  • Ju, Jeong-Min;Kang, Sun-Mee;Choi, Ji-Wung;Han, Youngwoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2020.11a
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    • pp.956-959
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    • 2020
  • 본 연구에서는 아파트를 대표할 수 있는 내·외적 데이터를 수집하고 인공지능 기술들을 활용하여 아파트 가격을 예측하는 시스템을 구축하고자 한다. 구체적으로 웹크롤링 기법을 통해 수집한 아파트 내·외적 데이터의 변수들에 대한 특성 선택(Feature Selection)을 수행하였고, 다양한 인공지능 기법을 활용하여 부동산 가격 예측 모형을 개발하였다. 아파트 가격 예측 모형 생성을 위해 Linear Regression, Ridge, Xgboost, Lightgbm, Catboost 등의 기계학습 알고리즘을 사용하였고, RMSE를 사용하여 각 예측 모형 간의 성능 비교를 수행하였다. 가장 성능이 좋은 예측 모형은 Xgboost기반 예측 모형이였으며, RMSE값이 약 0.0366으로 가장 낮았으며 테스트 데이터에 대한 정확도는 약 95.1%였다.