• Annual Conference of KIPS
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• 2000.04a
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• pp.7-9
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• 2000

데이터 웨어하우스는 기업의 의사 결정 과정을 향상시킬 수 있게 하는 정보기술이다. 대표적인 정의로는 '기업의 의사결정 과정을 지원하기 위한 주제 중심적이고 통합적이며 시간성을 가지는 비휘발성 자료의 집합 '이다.[1] 즉, 기업들이 보유하고 있는 분산된 대량의 데이터를 추출, 변환, 통합하여 요약된 읽기 전용의 데이터베이스로 구축함으로써, 경영분석이나 기업내의 의사 결정 지원 자료로 주로 활용된다. 데이터 웨어하우스의 경우, 일반사용자는 웨어하우스내에 저장된 데이터를 직접 이용하는 경우가 대부분이다. 따라서, 데이터의 구조와 의미에 대한 일반 사용자의 이해가 필요하게 되었다. 즉, 데이터의 추출 및 정제규칙, 데이터의 통합규칙, 요약알고리즘, 데이터 처리스케쥴 등을 알아야만 한다. 메타데이터는 최소한의 데이터 구조, 데이터의 요약에 사용된 알고리즘, 운영 데이터베이스와 데이터 웨어하우스사이의 대응관계와 같은 정보를 포함하여야 한다.[3] 여기서 변환프로세스에 대한 정보를 데이터의 형식에 대한 정보와 일반적인 데이터들과 차별화하여 메타프로세스라 한다.[5] 메타프로세스는 데이터를 변환하여 데이터 웨어하우스에 적재하는 과정에서 생성되는 메타데이터의 일부로써 데이터 웨어하우스에 통합된 자료들이 어떤 변환과정을 거쳐 생성된 자료인지를 알려주는 변환프로세스에 관한 정보를 제공한다. 본 연구에서는 대부분의 데이터 웨어하우스에서 구현되고 있는 메타데이터들은 데이터 항목의 속성정보를 위주로 한 것이며, 변환 프로세스와 관련된 데이터 관리가 미약하다. 따라서, 데이터 웨어하우스의 메타데이터 중 메타프로세스 정보의 추출 및 관리 시스템을 제안하는 것이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.469-472
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• 2014

S-MAC is hybrids of CSMA and TDMA approaches that use local sleep-wake schedules to coordinate packet exchanges and reduce idle listening. In this method, all the nodes are considered with equal priority which may lead to increased delay during heavy traffic. The method introduced in this paper provides high throughput and small end-to-end delay suitable for applications such as real-time voice streaming and its functionality is independent of underlying synchronization protocol. The novel idea behind our scheme is that it uses the priority concept with (m,k)-firm scheduling in order to achieve its objectives. The performance of our scheme is obtained through simulations for various packet sizes, traffic loads which show significant improvements in packet delivery ratio, and delay compared to existing protocols.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.1
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• pp.167-172
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• 2022

Currently, ship control, tug, and pilot work in import/export ports including Gwangyang Port are operated according to factors such as the order of arrival and departure regardless of the shipping company. Also, even this is done very inefficiently by hand. Therefore, there is an urgent need to develop a system to increase the efficiency of port and ship operation through standardization and digitalization of tasks related to Berthing and unberthing of ships. In this study, we propose a method to increase the efficiency of port and vessel operation by designing a smart port operation system based on big data such as vessel location information, pilotage and tug schedule, arrival/departure operation information, and weather information.

• Annual Conference of KIPS
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• 2020.11a
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• pp.673-676
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• 2020

In 21 century, we entered the multiculture society. Multi cultural society became a trend. It is known that 65.5 percents of Koreans find difficuty in using foreign languages. The need for intellignet and machine translation is increasing rapidly. This paper suggests a translation system which is mainly using in MICE industry. There are many applications provide translation, however, using multuple translayion appication is rare. We provide untact service which can import many application tools to provide a better service.

• Journal of Forest and Environmental Science
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• v.12 no.1
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• pp.1-12
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• 1996

This study was carried out to estimate drying schedule of Fagaceae four species grown in Kangwon-Do by oven-drying at $100^{\circ}C$ which aimed to elucidate the characteristics such as current moisture content, drying process, initial check, collapse and internal check during drying following each board thickness (1.5cm, 2.5cm, 3.5cm, 4.5cm). The results were as follows; Current moisture content of each board showed a rapid drying curve with the high initial moisture content of board. With the high initial moisture content, the incease of board thickness and the slowness of changing rate of moisture content, species took long to do drying. Also, the initial conditions of drying had to be mild condition with the increase of board thickness.

• Journal of the Korea Institute of Building Construction
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• v.11 no.1
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• pp.1-8
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• 2011

Linear scheduling method limits to present works of work breakdown structure as a form of lines and was often developed manually. In other words, linear schedule could not utilize activity, work breakdown structure, and etc. information of network schedule such as CPM(Critical Path Method) and has been used only for reporting or confirming construction master plan. Therefore, it is necessary to develop system which can automatically generating the linear schedule based on the network schedule having many accumulated and useful construction schedule information. Thus, this research has an effort to establish data process model, data flow diagram, and data model in order to make linear schedule. In addition, this research addresses the system solution structure, user interface class diagram and logic diagram, and data type schema. The results of this paper can be used as a preliminary research for developing linear schedule generating system prototype by utilizing the network schedule information.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.34 no.11
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• pp.70-75
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• 2006

The cabin pressurization system response should be consistent with the design limits such as the cabin pressure schedule, the pressure regulation tolerance, the maximum rate of pressure change during normal and abnormal operation and the maximum cabin air inflow rate change. In this paper, the results of pressure loss analysis and flight test for cabin pressurization system of T-50 advanced trainer are introduced. The pressure tolerance at unpressurized condition using calculated exit area of pressurization components through pressure loss analysis is predicted. Pressurization components of D company are selected and the predicted pressure tolerance is in good agreement with flight test results. Finally, T-50 pressurization system is verified by some flight tests of T-50 advanced trainer to comply with various pressurization design criteria of MIL-E-18927.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.6B
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• pp.1032-1041
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• 1999

This paper proposes on-line scheduling algorithms that reduce the largest weighted error incurred by preemptive imprecise tasks running on a single processor system. The first one is a two-level algorithm. The top-level scheduling, which is executed whenever a new task arrives, determines the processing times to be allotted to tasks in such a way to minimize maximum weighted error as well as to minimize total error. The lower-level algorithm actually allocates the processor to the tasks. The second algorithm extends the on-line algorithm studied by Shih and Liu[4] by formalizing the top-level algorithm mathematically. The numerical simulation shows that the proposed algorithm outperforms the previous works in the sense that it greatly reduces the largest weighted error.

• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.4
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• pp.395-402
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• 2016

When the operation of battery is converted at charging and discharging system based on a DC micro grid, the voltage is fluctuated. And excessive voltage fluctuation could cause damage or failure of charging and discharging equipment. Therefore, in this paper, we studied the operating schedule of the charging and discharging system based on the DC micro grid and a design point of the capacitor which was able to reduce the voltage fluctuation. A result of computer simulation showed that when a fluctuation-reducing capacitor which had an initial value of 600V/35mF was applied at the charging and discharging system based on a DC micro grid which was operated with three charging battery sets and five discharging battery sets, voltage fluctuation by charging and discharging operation was reduced by about 63.3%. Furthermore, voltage fluctuation which occurred when initial network voltage was stabilized was reduced by about 73%.

• KIISE Transactions on Computing Practices
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• v.23 no.10
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• pp.599-604
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• 2017

A useful application of smart assistants is to predict and suggest users' daily behaviors the way real assistants do. Conventional methods to predict behavior have mainly used explicit schedule information logged by a user or extracted from e-mail or SNS data. However, gathering explicit information for smart assistants has limitations, and much of a user's routine behavior is not logged in the first place. In this paper, we suggest a novel approach that combines explicit schedule information with patterns of routine behavior. We propose using inference based on a Markov decision process and learning with a reward function based on inverse reinforcement learning. The results of our experiment shows that the proposed method outperforms comparable models on a life-log dataset collected over six weeks.