• Journal of Korea Society of Industrial Information Systems
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• v.19 no.5
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• pp.103-115
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• 2014

Mobile-Office is the IT office that enables people handle their business anywhere and anytime without going to head office. It has propagated rapidly in domestic and foreign companies as the users who use mobile terminal such as smartphone have increased sharply. Mobile-Office is emerging as a new way of conducting business. It requires business environment to be changed to improve business efficiency, as fast-growing mobile-based economies emerges. Small and medium-sized companies's utilization ability for advanced IT technology is insufficient, and limitations exist on capacity of building and investment. They need different development methodologies and utilization methods. The purpose of this study is not only to consider the previous business environment problem on accessibility, mobility, effectiveness, complexity and consolidation, but to search more efficient methods for introducing applications to utilize various smart devices and websites with minimum investment in R&D.

• Journal of Internet Computing and Services
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• v.16 no.5
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• pp.59-66
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• 2015

A stochastic modeling approach as a mathematical method for workflow intelligence is widely used for analyzing and simulating workflow models in the literature. In particular, as a resource-centric modeling approach, this paper proposes a stochastic model to represent work-handover relationships between performers in a workflow-supported social network. Calculating probabilities for the work-handover relationships are determined by two types of probabilities. One is the work-transition probability between activities, and the other is the task assignment probability between activities and performers. In this paper, we describe formal definitions of stochastic workflow models and stochastic work-handover relationship models, as well. Then, we propose an algorithm for extracting a stochastic work-handover relationship model from a stochastic workflow model. As a consequence, the proposed model ought to be useful in performing resource-centric workflow simulations and model-log comparison analyses.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.252-261
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• 2017

This paper is aimed for providing Business Intelligence System which is in order to analysis and produce the useful industrial information such as the market penetrance and the status of competition among the enterprises in the same or similar industrial field. These industrial information were mainly analysed by the annual sales of the enterprises in the entire industry and the industrial market based on KSIC was segmented. The results obtained in the study were applied as a module in the KMAPS(KISTI Market Analysis and Prediction System) which is the demand-based Business Intelligence System. And they were verified reliability by comparing to the qualitative analyses of the specialists. It is considered that the market penetrance and competition information can be valuably used for the enterprises makes a decision to enter the new market or develop new products.

• Journal of Internet Computing and Services
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• v.19 no.6
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• pp.83-89
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• 2018

In workflow process intelligence and systems, workflow process mining and analysis issues are becoming increasingly important. In order to improve the quality of workflow process intelligence, it is essential for an efficient and effective data center storing workflow enactment event logs to be provisioned in carrying out the workflow process mining and analytics. In this paper, we propose a three-dimensional process-aware datacube for organizing workflow enterprise data centers to efficiently as well as effectively store the workflow process enactment event logs in the XES format. As a validation step, we carry out an experimental process mining to show how much perfectly the process-aware datacubes are suitable for discovering workflow process patterns and its analytical knowledge, like enacted proportions and enacted work transferences, from the workflow process enactment event histories. Finally, we confirmed that it is feasible to discover the fundamental control-flow patterns of workflow processes through the implemented workflow process mining system based on the process-aware data cube.

• The Journal of Bigdata
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• v.8 no.2
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• pp.201-222
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• 2023

As the e-Commerce gets increased based on the platform, a lot of small and medium sized sellers have tried to develop the more effective strategies to maximize the profit. In order to increase the profitability, it is quite important to make the strategic decisions based on the range of promotion, discount rate and categories of products. This research aims to develop the business intelligence application which can help sellers of e-Commerce platform make better decisions. To decide whether or not to promote, it is needed to predict the level of increase in sales after promotion. I n this research, we have applied the various machine learning algorithm such as MLP(Multi Layer Perceptron), Gradient Boosting Regression, Random Forest, and Linear Regression. Because of the complexity of data structure and distinctive characteristics of product categories, Random Forest and MLP showed the best performance. It seems possible to apply the proposed approach in this research in support the small and medium sized sellers to react on the market changes and to make the reasonable decisions based on the data, not their own experience.

• Journal of Digital Convergence
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• v.10 no.2
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• pp.231-235
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• 2012

Manufacturing Information System is a information system which supports the activities such as production planning, workflow management, work stage control. Manufacturing fields are showing new properties in today such as digital information, globalization, integration, to make sophisticated production. In this paper, we descibe major issues in current systems. Eventually, we propose major factors to adapt for new changes and BI systems to support manufacturing production information system based on the major factors.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.295-307
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• 2011

The purpose of this research is to find a better knowledge service R&D management process. There are four basic characteristics in service : intangibility, inseparability, inconsistency, and no inventory. These intrinsic characteristics require us to change the traditional manufacturing sector based R&D management process. It is necessary to develop an effective knowledge service R&D management model to improve the competitiveness of the service industry and Korean economy. A model case knowledge service R&D has been performed to find a better R&D management model. The whole cycle of R&D process, such as planning, selection, performing, and evaluation has been reviewed by real experience. Several important aspects of R&D process are compared between manufacturing R&D and service R&D. A knowledge service R&D management framework has been suggested. The results of this research can be used for building a better service R&D management process.

• JOURNAL OF ELECTRICAL WORLD
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• s.298
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• pp.52-58
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• 2001

전력 규제완화, 지구환경문제 등의 사회환경 변화와 IT화를 비롯한 기술혁신으로 전력시스템을 둘러싼 환경이 크게 변화하고 있다. 이러한 동향을 두 개의 축으로 구분하여 분석해 보고자 한다. 하나의 축은 사회제도의 변화축이고 또 하나의 축은 전력의 공급측과 수용가측으로의 분류이다. 이 두 개의 축으로 나눌 수 있는 4개의 분야별로 새로운 비즈니스 동향과 그에 맞는 기술개발의 방향을 소개한다. 전력거래를 위한 시스템 개발, 수용가토털서비스의 인프라 만들기, ESCO 등의 에너지절약 비즈니스. 기설기기의 라이프사이클을 통한 코스트다운 등이 각 분야에 대응한 니즈라고 할 수 있을 것이다. 이러한 가운데 전력시스템을 구성하는 네트워크 중 노드에 해당하는 변전소의 역할에 대한 변혁이 요구되고 있으며, 사회적 니즈인 라이프사이클을 통한 코스트다운을 지향한 변전소의 설계를 실시하기로 하였다. 기기의 코스트는 주어진 기능수에 대하여 비선형 특성을 갖고 있다. 그 때문에 기능 삭감에 의한 코스트다운은 참뜻의 코스트저감으로 이어지는 것은 아니다. 필요한 기능만을 쌓아올리는 설계가 필요하다. 이제까지, 하드웨어만으로 구성되어 있던 변전소에 소프트웨어를 도입하여 시스템으로서의 인텔리전스를 부가하도록 요망되고 있다. 어디까지 소프트웨어를 늘릴 수 있는지 그 최적화도 검토하고 있다. 변전소의 인텔리전트화의 니즈를 살펴보았다.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.442-445
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• 2008

현대 도시의 새로운 이미지 창출을 위해서 공공예술은 중요한 요소이다 과거 조형적 작품으로 이루어지던 공공예술은 미디어아트, 인터렉티브 아트등 새로운 예술분야로의 접목이 늘어나는 경향이 나타난다. 그러나 인터렉티브 아트가 공공예술로 정착되기에는 가기고 있는 문제점이 있다. 이를 보완하기 위해서 본 논문에서는 엠비언트 아트(Ambient Art)를 활용하였다. 엠비언트 인텔리전스(Ambient Intelligence)에서 파생된 개념으로의 엠비언트 아트는 Ambient Display와 Ambient Media 등을 사용하여 사용자의 주의 없이도 환경정보를 활용하여 인터렉션을 일으켜 작품에 생명력을 부여하는 예술장르를 말한다. 기존 연구에 의하면, 엠비언트 아트는 상황인지, 개인화, 분위기, 상호작용, 자가성장의 5가지 특성을 지닌다. 그러나 엠비언트 아트가 공공예술로 사용되기 위해선 소통, 보안, 선택권의 3가지 요소가 필요하다. 공공공간이 지니고 있는 특성과 공공예술이 가지는 파급효과를 고려하면, 3가지 요소가 중요하다. 보다 높은 수준의 소통과 과도한 관객의 상황정보 수집으로부터의 보호, 관객의 작품 참여 선택권은 엠비언트 아트가 가져할 구성요소이다. 본 논문에서는 3가지 요소를 포함하는 새로운 장르의 공공예술(New Genre Public Art)의 공공 엠비언트 아트(Public Ambient Art)를 제시하여 대안을 마련하는데 의의가 있다.

• Electronics and Telecommunications Trends
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• v.27 no.4
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• pp.114-122
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• 2012

최근 CCTV(Closed Circuit Television)의 설치가 증가하면서 효율적인 모니터링을 위하여 지능형 영상분석 기술에 대한 관심이 높아지고 있다. 지능형 영상분석 기술은 영상의 정보를 분석하여 자동으로 이상 행위를 탐지하고 관리자에게 경보를 전송하는 기술로써, 사고를 사전에 예방하고 사고가 발생한 경우에는 신속하게 대응하여 피해를 줄일 수 있게 해준다. 본고에서는 지능형 영상분석 기술이 탐지할 수 있는 이상 행위, 즉 이벤트를 그 목적에 따라서 보안, 비즈니스 인텔리전스, 객체인식으로 구분하여 현재 기술 수준을 살펴볼 것이다. 그리고 앞으로 지능형 영상분석에서 이벤트 탐지 기술의 발전 방향을 사람의 행동인식, 행위 기반 이상 현상 탐지, 군중 환경에서 이벤트 탐지, 지능형 영상분석 구조의 변화 등의 관점으로 구분하여 살펴보고자 한다.