• 한국시뮬레이션학회논문지
• /
• 제13권1호
• /
• pp.51-63
• /
• 2004

Current distributed systems are attacked from the outside as well as in which new intrusions are occurred. In particular there is a growing but largely unnoticed intrusion threat due to the emerging middleware technologies such as CORBA, WAP, XML support, and enterprise application integrators. In order to cope with these attacks, intrusion tolerance technology is introduced. Intrusion tolerance technology means that it can provide services normally although attacks are occurred into system. There are intrusion tolerance architectures such as ITUA, HACQIT, SITAR, and so on as a part of DARPA project. In this paper, we analyze and discuss existing intrusion tolerance architectures with respect to intrusion tolerance technology. Also, we extract intrusion tolerant requirements, which are required to develop ,intrusion tolerant system. We propose UML-IT(Intrusion Tolerance) profiles and specify intrusion tolerant software by applying UML-IT profiles.

• International Journal of Computer Science & Network Security
• /
• 제23권4호
• /
• pp.25-31
• /
• 2023

Fog computing diversifies cloud computing by using edge devices to provide computing, data storage, communication, management, and control services. As it has a decentralised infrastructure that is capable of amalgamating with cloud computing as well as providing real-time data analysis, it is an emerging method of using multidisciplinary domains for a variety of applications; such as the IoT, Big Data, and smart cities. This present study provides an overview of the security and privacy concerns of fog computing. It also examines its fundamentals and architecture as well as the current trends, challenges, and potential methods of overcoming issues in fog computing.

• 한국항행학회논문지
• /
• 제15권2호
• /
• pp.313-318
• /
• 2011

최근 들어서 가상화 기술이 유망기술로 인정받고 있지만, 이 기술은 이미 1960년대부터 시작된 기술이었다. 이때의 기술은 시스템을 효율적으로 사용하기 보다는 서비스에 목적을 두어 가상화가 되었고, 이후 기술이 지속적으로 발전하면서 x86 기반의 서버에서 가상화 기술이 실제적으로 적용되고 있다. 가상화 기술을 이용하는 가장 큰 이유는 경제적인 이득일 것이다. 서버들을 따로 따로 운영해야 할 경우, 전기세와 서버 구입비용 및 유지보수 비용 등이 많이 들지만, 이것을 가상화 기술로 통합하게 되면 서비스는 똑같이 할 수 있으면서 운영비(인건비 포함)가 상대적으로 절감되기 때문이다. 본 논문에서는 이러한 가상화 기술의 트렌드를 분석하고 서버통합 방안에 대한 로드맵을 제안하였다.

• Journal of Information Technology Applications and Management
• /
• 제20권4호
• /
• pp.165-189
• /
• 2013

The advance of the smart working environment came the expectation that it would innovate and revolutionize the way people work, particularly in a society where smart work is readily available for creating a collaborative and 'connected' business. One of the core infrastructure elements for making smart work a viable option is the smart work center, the promotion of which requires a new form of 'smart work center business model' that can satisfy the purposes of both public services and private businesses. This calls for collaboration between the public and private sectors. Recently a number of businesses have been making significant headway in the creation of a new environment for business support and collaboration by adopting a sharing economy business model in their offices. The so-called 'Coworking Space' is an advanced form of business environment in the emerging 'smart work' era, and comes with the benefits of reduced costs as a result of sharing office space and knowledge sharing through the use of human networks. This paper describes the framework of a 'smart work center business model based on the sharing economy' using a BMC (Business Model Canvas), with an understanding of the characteristics inherent to the smart work center and the sharing economy. It was on the basis of this framework that a smart work center model for business incubation and startup, a private smart work center model for childcare services, and a community marketplace model with a global network were developed.

• 문화기술의 융합
• /
• 제5권1호
• /
• pp.311-318
• /
• 2019

고독사는 최근 우리 사회에서 주목하는 사회문제 중의 하나이다. 고독사의 대부분의 사례가 사회취약계층으로 건강문제를 경험한 것으로 보고되고 있다. 이처럼 건강문제를 가지고 있음에도, 임종을 홀로 맞는 등 이들의 건강불평등 문제의 심각성을 보여주고 있다. 본 연구에서는 신문기사를 활용하여 고독사 사례의 건강불평등 문제를 조명해 보고자 하였다. 분석방법은 질적 접근인 내용분석을 수행하였다. 최근 3년간 신문에 보도된 89사례를 최종 선정하여 분석하였다. 고독사 사례의 특성, 질환이나 건강문제의 유형, 그리고 의료서비스 미충족 등의 영역으로 분석을 수행하였다. 연구의 결과를 바탕으로 향후 고독사 예방에서 보건의료 영역과 지역사회의 복지서비스 제공 체계 간의 협력과 역할에 대한 논의를 제시하였다.

• 한국의류산업학회지
• /
• 제24권4호
• /
• pp.460-470
• /
• 2022

Customized cosmetics are emerging as a consumer product that companies should pay attention to in the beauty industry due to the combination of market trends and institutional introduction of customized cosmetics. In this study, six offline service brands and online service brands currently in Korea were selected to understand the current status of domestic customized cosmetics online and offline services and to derive detailed characteristics, and the cases of each brand were analyzed. The results are as follows. First, customized cosmetics services could be classified online and offline. Second, customized cosmetics brands could be divided into general brand types and brand extension types. Third, skin data measurements could be classified into genetic analysis, big data-based surveys, and device measurements. Fourth, customized cosmetics manufacturing could be classified into a device manufacturing system, a consultant manufacturing system, and an individual production process system. Fifth, customized cosmetics distribution and delivery could be classified into same-day sales, general delivery, and regular delivery. The results of this study are meaningful in that they have identified and analyzed the current status of personalized cosmetics on-line and offline systems in recent trends, and it was confirmed that creative attempts in the domestic customized cosmetics market continue to change. It is hoped that this study will provide information and ideas to the beauty industry and related experts in the future and be used as basic data for customized cosmetics marketing

• 한국콘텐츠학회논문지
• /
• 제21권12호
• /
• pp.375-383
• /
• 2021

COVID-19로 인해 사람들은 외출과 모임 자제로 온라인 쇼핑, 온라인 여행, 화상회의 등 새로운 라이프 스타일을 구축하고 있다. 이러한 급격한 사회의 변화는 새로운 문제들을 야기시킴과 동시에 기존의 문제들을 심화시키고 있다. 특히 온라인 소비가 크게 증가함에 따라 생활물류산업에서는 교통체증, 대기오염, 배송기사의 과중한 업무 등이 심화되고 있으며 대면배송이 새로운 문제점으로 나타나고 있다. 4차 산업혁명의 등장으로 드론에 인공지능, 자율주행 등을 활용한 무인 배달이 기존 생활물류산업의 대체산업으로 떠오르고 있으나 드론의 비행에 따른 물류시설의 공간과 추가적인 물류부지 확보가 해결되어야 하는 새로운 문제점으로 나타난다. 따라서, 기존의 문제들과 새롭게 생겨난 문제들을 해소할 수 있는 드론을 위한 물류시설의 공간으로 기존 운수 사업인 지하철을 활용하여 물류 이동과 보관, 배송 등과 같은 부가적인 서비스를 연계하고자 한다.

• 시스템엔지니어링학술지
• /
• 제20권1호
• /
• pp.1-15
• /
• 2024

This study attempted to analyze whether the government's regulatory innovation efforts affect the continued operation of new products and new service-based businesses, such as regulatory compliance and response efforts, despite the perception of regulatory difficulties as business barriers for firms in new industries. Previous studies on the impact of regulations on companies in new industries were a limit to obtaining implications for regulatory issues and characteristics of each field due to the simplification of regulatory indicators and the establishment of field integration. To compensate for this, this study focused on the field of AI and DATA services, and subdivided regulatory issues to indicate practical inconvenience as variables, and model fit and hypothesis verification were performed by applying Structural Equation Model analysis based on the survey results of related companies. As a result, in the field of AI and DATA services, "Perceived regulatory irrationality" and "Perceived government regulatory innovation efforts" significantly affect the "Regulatory environment satisfaction" of the regulated, and "Perceived regulatory irrationality" and "Regulatory environment satisfaction" affect "Regulatory response efforts for companies in new industries to continue their businesses." The significance of this study is that it conducted research on the factors affecting the continuity of business of companies in the AI and DATA service sector by linking the analysis of the impact relationship between satisfaction and continuous use intention, which have been mainly used in the "Policy Acceptance Model" and "IT service sector," to "efforts for companies to continue their business in a new industrial regulatory environment." In addition, by presenting a new empirical model for new industry regulations, it is expected to be meaningful as it can provide a research foundation that can obtain practical implications in related fields.

• 지식경영연구
• /
• 제19권1호
• /
• pp.119-132
• /
• 2018

Many advanced products and services are emerging in the market thanks to data-based technologies such as Internet (IoT), Big Data, and AI. The construction of a system for data processing under the IoT network environment is not simple in configuration, and has a lot of restrictions due to a high cost for constructing a high performance server environment. Therefore, in this paper, we will design a development environment for large data analysis computing platform using open source with low cost and practicality. Therefore, this study intends to implement a big data processing system using Raspberry Pi, an ultra-small PC environment, and open source API. This big data processing system includes building a portable server system, building a web server for web mining, developing Python IDE classes for crawling, and developing R Libraries for NLP and visualization. Through this research, we will develop a web environment that can control real-time data collection and analysis of web media in a mobile environment and present it as a curriculum for non-IT specialists.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2022년도 춘계학술발표대회
• /
• pp.517-519
• /
• 2022

In 5G network environment, proactive mobility management is essential as 5G mobile networks provide new services with ultra-low latency through dense deployment of small cells. The importance of a system that actively controls device handover is emerging and it is essential to predict mobile trajectory during handover. Sequence-to-sequence model is a kind of deep learning model where it converts sequences from one domain to sequences in another domain, and mainly used in natural language processing. In this paper, we developed a system for predicting mobile trajectory in a wireless network environment using sequence-to-sequence model. Handover speed can be increased by utilize our sequence-to-sequence model in actual mobile network environment.