• Proceedings of the Korea Information Processing Society Conference
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• 2003.05c
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• pp.1677-1680
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• 2003

기존의 보안 관리 수준을 측정하기 위한 방법들이 다양하지만 IT 자산을 중심으로 한 평가만이 이루어지고 있는 관계로 조직 전반에 걸친 분석이 이루어지지 못했다. 따라서 본 논문에서는 보안 관리 수준 점검을 손쉽게 할 수 있도록 웹 기반 보안 관리 수준 분석 도구에 대해 제시한다. 본 도구의 경우는 전사적 정보 보호 관리 방법론인 BS7799의 보안통제 항목들을 기반으로 설문 내용을 구성하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.2
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• pp.421-429
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• 2010

In this paper we researched the development methods and design of the Ubiquitous Integrated Information System (u-IIS) that makes efficiently access the experts and various kinds of intellectual and material information of the universities. And u-IIS supports various communication and cooperation tools such as VoIP, Email, Unified Messaging, Instant Messaging, Web Conferencing, Audio/Video Communication etc. We gave our focus to the methods and design that makes it possible to effectively implement the u-IIS with the least costs based on the available databases and infrastructures.

• Proceedings of the KAIS Fall Conference
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• 2001.05a
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• pp.358-361
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• 2001

인터넷의 발전으로 우리는 빠른 시간에 많은 정보를 접할 수 있을 뿐 아니라 웹을 이용한 동적인 개인 신상관리와 교육에서 교사와 학생간에 웹을 이용한 새로운 인터페이스를 열 수 있게 되었다. 형성평가는 교사가 기계적으로 채점하고, 틀렸을 때 이를 교정해 주기보다는 스스로 학습결과의 정답을 확인하고 틀렸을 때 이에 대한 정답을 학생 자신이 찾아내도록 함으로써 형성평가의 과정 그 자체가 학습과정의 일부가 되도록 하여야 한다. 본 연구에서는 멀티미디어저작도구로 형성평가 문항을 만들어, 교사와 학생 모두 빠르고 정확하게 채점하여 즉시 결과를 확인하고 feedback 효과를 얻고자 데이터베이스 연동을 이용한 웹 기반 형성평가 방안을 제안한다.

• Journal of Information Processing Systems
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• v.13 no.4
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• pp.689-702
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• 2017

The Structured Query Language (SQL) Injection continues to be one of greatest security risks in the world according to the Open Web Application Security Project's (OWASP) [1] Top 10 Security vulnerabilities 2013. The ease of exploitability and severe impact puts this attack at the top. As the countermeasures become more sophisticated, SOL Injection Attacks also continue to evolve, thus thwarting the attempt to eliminate this attack completely. The vulnerable data is a source of worry for government and financial institutions. In this paper, a detailed survey of different types of SQL Injection and proposed methods and theories are presented, along with various tools and their efficiency in intercepting and preventing SQL attacks.

• Journal of information and communication convergence engineering
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• v.18 no.4
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• pp.239-244
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• 2020

This study analyzed the influencing factors of learning engagement and teaching presence in online programming practice classes. The subjects of this study were students enrolled in an industrial specialized high school, who practiced creating Arduino circuits and programming using a web-based virtual practice tool called Tinkercad. This research adopted a tool that can measure task value, learning flow, learning engagement, and teaching presence. Based on this analysis, learning flow had a mediating effect between task value and online learning engagement, as well as between task value and teaching presence. Increasing learning engagement in online classes requires sensitizing the learners about task value, using hands-on platforms available online, and expanding interaction with instructors to increase learning flow of students. Furthermore, using virtual hands-on tools in online programming classes is relevant in increasing learning engagement. Future research tasks include: confirming the effectiveness of online learning engagement and teaching presence through pre- and post-tests, and conducting research on various practical subjects.

• International Journal of Computer Science & Network Security
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• v.22 no.11
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• pp.357-366
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• 2022

Artificial intelligence (AI) is the replication of human intelligence by computer systems and machines using tools like machine learning, deep learning, expert systems, and natural language processing. AI can be applied in administrative settings to automate repetitive processes, analyze and forecast data, foster social communication skills among staff, reduce costs, and boost overall operational effectiveness. In order to understand how AI is being used for administrative duties in various organizations, this paper gives a critical dialogue on the topic and proposed a framework for using artificial intelligence in organizations. Additionally, it offers a list of specifications, attributes, and requirements that organizations planning to use AI should consider.

• Journal of Information Science Theory and Practice
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• v.11 no.1
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• pp.79-88
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• 2023

This study aimed to develop an ontology for Thai country songs by using the seven steps of an ontology development process. Hozo-Ontology Editor software and Ontology Application Management Framework were tools used in this study. Nine classes of ontology were identified: song, singer, emotion, author, language used, language type, song style, original, and content, and it was found that the song class had a relationship with all of the other classes. The developed ontology was evaluated by seeking opinions from experts in the field of Thai country songs, who agreed that the ontology was highly effective. Additionally, the evaluation employed the knowledge retrieval concept, and the precision, recall, and overall effectiveness were measured, with a precision of 92.59%, a recall of 86.21%, and an overall effectiveness (F-measure) of 89.28%. These results indicate that the developed ontology is highly effective in describing the scope of knowledge of Thai country songs.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1071-1073
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• 2011

최근 유비쿼터스 기술이 발달함에 따라 센서 네트워크에서 다양한 하드웨어를 통하여 수집한 상황정보를 도시하는 SWE(Sensor Web Enablement)연구가 OGC(Open Geospatial Consortium)를 중심으로 진행된다. 본 논문에서 다양한 센서 네트워크로부터 실시간으로 수집되는 상황 데이터를 통합하고 처리한 정보를 웹 서비스를 통해 제공하기 위해 콘텐츠 지원 도구를 제시한다. 제시된 센서 네트워크 기반의 콘텐츠 지원 도구는 상황 데이터를 효율적으로 웹 서비스를 통해 제공할 수 있다. 이를 바탕으로 클라이언트의 요구에 따라 상황정보를 제공 할 수 있고, 센서 네트워크의 상황 데이터를 효율적으로 사용자에게 제공할 수 있을 것으로 사료된다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• fall
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• pp.283-286
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• 2021

4차 산업혁명을 맞이해 최근 산업 및 기술 영역에서는 인공지능을 이용한 생산력 향상, 자동화 등 딥러닝의 보편화가 빠르게 진행되고 있다. 또한, 딥러닝의 성능을 도출하기 위해서는 수많은 양의 학습용 데이터가 필요하며 그 데이터의 양은 딥러닝 모델의 성능과 정비례한다. 이에 본 작품은 최신형 영상처리 Library인 Albumentations를 이용하여 영상처리 알고리즘을 이용하여 이미지를 증강하고, 이미지 데이터 크롤링 기능을 통해 Web에서 영상 데이터를 수집을 자동화하며, Label Pix를 연동하여 수집한 데이터를 라벨링 한다. 더 나아가 라벨링 된 데이터의 증강까지 포함하여 다양한 증강 자동화를 한 인터페이스에 집적시켜 딥러닝 모델을 생성할 때 데이터 수집과 전처리를 수월하게 한다. 또한, Neural Net 기반의 AdaIN Transfer를 이용하여 이미지를 개별적으로 학습하지 않고 Real time으로 이미지의 스타일을 옮겨올 수 있도록 하여 그림 데이터의 부족 현상을 해결한다.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.115-121
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• 2013

A number of urban renewal projects are currently being implemented around the world. Current project management tools are limited in effectively dealing with numerous issues regarding management of these projects (e.g., simultaneous execution of multiple projects). As an effort to address this deficiency, an Intelligent Program Management Information System (i-PgMIS) was developed for effective management of urban renewal projects. The i-PgMIS is a web-based system consisting of various modules including cost management, schedule management, risk management, change management, eco-value engineering (EVE) and so on. Based on the recognition of increasing awareness of creating sustainable built environment, this paper focuses on the EVE module that can support eco-value analysis at program-level management. The EVE module is expected to enhance value and sustainability of construction processes throughout the whole 'program' lifecycle and further to support program feasibility study based on life cycle costing.