• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2007년도 춘계학술발표대회
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• pp.31-33
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• 2007

Devising an efficient one-pass frequent pattern mining algorithm has been an issue in data mining research in recent past. Pattern growth algorithms like FP-Growth which are found more efficient than candidate generation and test algorithms still require two database scans. Moreover, FP-growth approach requires rebuilding the base-tree while mining with different support counts. In this paper we propose an item-based tree, called I-Tree that not only efficiently mines frequent patterns with single database scan but also provides multiple mining scopes with multiple support thresholds. The 'build-once-mine-many' property of I-Tree allows it to construct the tree only once and perform mining operation several times with the variation of support count values.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2006년도 춘계 학술발표회 논문집(II)
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• pp.621-624
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• 2006

This paper presents a novel optimum technique for optimum mix-proportion using database-based prediction model of material properties for an object function or a constraint condition. The proposed technique provides high reliability of results introducing effective region model, which assesses whether the prediction model is effective or not, in optimization process. In order to validate the proposed technique, a genetic algorithm was adopted as a optimum technique, and an artificial neural network was adopted as a prediction model for material properties and as a model for assessing effective region. The mix-proportion obtained from the proposed technique is more reasonable than that obtained from a general optimum technique.

• 전자공학회논문지B
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• 제30B권2호
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• pp.51-58
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• 1993

This paper describes the development of a speaker-dependent isolated word recognizer as applied to voice dialing in a car noise environment. for this purpose, several methods to improve performance under such condition are evaluated using database collected in a small car moving at 100km/h The main features of the recognizer are as follow: The endpoint detection error can be reduced by using the magnitude of the signal which is inverse filtered by the AR model of the background noise, and it can be compensated by using variants of the DTW algorithm. To remove the noise, an autocorrelation subtraction method is used with the constraint that residual energy obtainable by linear predictive analysis should be positive. By using the noise rubust distance measure, distortion of the feature vector is minimized. The speech recognizer is implemented using the Motorola DSP56001(24-bit general purpose digital signal processor). The recognition database is composed of 50 Korean names spoken by 3 male speakers. The recognition error rate of the system is reduced to 4.3% using a single reference pattern for each word and 1.5% using 2 reference patterns for each word.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2006년도 정기 학술대회 논문집
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• pp.307-314
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• 2006

Missile system. which requires high speed/high maneuverability is getting more important as a defensive weapon system. Integrated design environment which includes all related resources during the missile development process, is a very useful development tool, Therefor the design framework can perform the operation analysis and utilize design information for the efficient missile design. For this purpose, various analysis computer codes under heterogeneous platforms and operating systems, the database, the optimization module, and Ideas a commercial CAD are integrated using distributed. middleware. and the complicated GUI design has been made for the specific missile system design. Under the various constraint, maximize missile range and loadfactor with missile design computer framework.

• 한국정보과학회논문지:데이타베이스
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• 제29권3호
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• pp.230-245
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• 2002

실시간 응용을 위한 데이타베이스 시스템은 각 트랜잭션에 부여된 시간 제약사항을 만족해야 한다. 일반적으로, 트랜잭션 스케줄러는 종료시한이라는 형태로 각 트랜잭션의 시간 제약 사항을 표현하며 이는 그 트랜잭션의 우선순위로 사용이 된다. 최근, 보안이 많은 실시간 응용에서 중요한 요구사항이 되고 있다. 많은 시스템에서 기밀성을 띤 정보가 서로 다른 인가등급을 가진 사용자에 의해 공유된다. 시간 제약사항과 동시에 기밀 데이타를 관리하는 응용에서 진보된 데이타베이스 시스템의 사용이 증가하면서 시간 제약사항과 보안 요구사항을 만족하는 병행수행 제어 프로토콜의 개발이 요구되어지고 있다. 본 논문에서는 보안 요구사항과 실시간 요구사항을 보장하는 두 개의 병행수행 제어 프로토콜들을 제안한다. 제안하는 프로토콜들은 다중버전 로킹에 기반을 두고 있지만 두 가지 제약사항을 만족시키기 위해서 얼림이라는 새로운 기법을 사용한다. 또한, 제안하는 프로토콜의 정확성을 증명하고 기존의 로킹에 기반을 둔 프로토콜들보다 높은 병행수행 정도를 제공함을 증명한다. 마지막으로, 몇 가지 예제를 통해 다른 프로토콜들과 성능 분석을 수행하여 성능 향상이 있음을 보인다.

• 대한기계학회논문집
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• 제16권4호
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• pp.658-666
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• 1992

본 연구에서는 고속, 연속장업으로 이루어지고 있는 스템핑 공정에서 금형과 강판간의 접촉-슬립에 따른 마찰 및 윤활특성의 성능을 평가할 수 있도록 한 원형단면 형상의 드로오비드 마찰실험장치를 활용하여 가압력, 윤활유 특성, 드로잉 속도와 강 판의 표면특성 등에 따른 자동차용 냉연강판과 도금강판의 마찰계수와 드로오비드 저 항력에 대한 테이터 베이스를 구축하고자 한다.

• Nuclear Engineering and Technology
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• 제55권6호
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• pp.2222-2229
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• 2023

Radon and radon progeny being natural radioactive pollutants, seriously affect the health of uranium miners. Radon reduction by ventilation is an essential means to improve the working environment. Firstly, the relational model is built between the radon exhalation rate of the loose body and the ventilation parameters in the stope with radon percolation-diffusion migration dynamics. Secondly, the model parameters of radon exhalation dynamics are uncertain and described by triangular membership functions. The objective functions of the left and right equations of the radon exhalation model are constructed according to different possibility levels, and their extreme value intervals are obtained by the immune particle swarm optimization algorithm (IPSO). The fuzzy target and fuzzy constraint models of radon exhalation are constructed, respectively. Lastly, the fuzzy aggregation function is reconstructed according to the importance of the fuzzy target and fuzzy constraint models. The optimal control decision with different possibility levels and importance can be obtained using the swarm intelligence algorithm. The case study indicates that the fuzzy aggregation function of radon exhalation has an upward trend with the increase of the cut set, and fuzzy optimization provides the optimal decision-making database of radon treatment and prevention under different decision-making criteria.

• 한국환경보건학회지
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• 제43권4호
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• pp.298-306
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• 2017

Objectives: Since 1998, the Korea National Health and Nutrition Examination Survey (KNHANES) has been conducted in order to investigate the health and nutritional status of Koreans. The food intake data of individuals in the KNHANES has also been utilized as source dataset for risk assessment of chemicals via food. To improve the reliability of intake estimation and prevent missing data for less-responded foods, the structure of integrated long-standing datasets is significant. However, it is difficult to merge multi-year survey datasets due to ineffective cleaning processes for handling extensive numbers of codes for each food item along with changes in dietary habits over time. Therefore, this study aims at 1) cleaning the process of abnormal data 2) generation of integrated long-standing raw data, and 3) contributing to the production of consistent dietary exposure factors. Methods: Codebooks, the guideline book, and raw intake data from KNHANES V and VI were used for analysis. The violation of the primary key constraint and the $1^{st}-3rd$ normal form in relational database theory were tested for the codebook and the structure of the raw data, respectively. Afterwards, the cleaning process was executed for the raw data by using these integrated codes. Results: Duplication of key records and abnormality in table structures were observed. However, after adjusting according to the suggested method above, the codes were corrected and integrated codes were newly created. Finally, we were able to clean the raw data provided by respondents to the KNHANES survey. Conclusion: The results of this study will contribute to the integration of the multi-year datasets and help improve the data production system by clarifying, testing, and verifying the primary key, integrity of the code, and primitive data structure according to the database normalization theory in the national health data.

• 정보학연구
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• 제4권1호
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• pp.9-22
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• 2001

본 논문에서는 웹브라우저를 이용하여 로봇을 원격 제어한다. 4대의 독립된 PC를 사용하여 자각의 기능을 분리하고 상호 연동하는 구조로 PC를 연결하였다. 조작자가 시간과 장소에 제약받지 않고 웹브라우저를 이용하여 제어값을 입력하면 제어값은 웹 서버를 거쳐 데이터베이스에 저장된다. 로봇과 연결된 PC는 데이터베이스에서 1ms 간격으로 제어값을 입력받아 제어값의 변화가 있을 경우만 제어값의 변화량으로 로봇이 동작한다. 스텝모터를 이용하여 간단한 로봇을 제작하고 이를 웹 브라우저를 이용하여 실제 동작시킨다. 조작자가 원하는 제어값이 최종 수신단의 로봇에 제대로 전달되어 동작하는지 확인하고 웹브라우저를 이용한 로봇제어의 가능성을 확인하였다

• Management Science and Financial Engineering
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• 제10권2호
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• pp.1-28
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• 2004

The integrated supply chain of business partners for e-Commerce in cyber space is defined as Logistics Chain if the cooperative activities are logistics-related. Logistics Chain could be managed effectively and efficiently by cooperative technologies of logistics chain execution. In this paper, we propose a routing and scheduling algorithm based on the Tabu search by adding geographical information into existing constraint for pick-up and delivery process to minimize service time and cost in logistics chain. And, we also consider an uncertainty processing for the tracing of moving object to control pick-up and delivery vehicles based on GPS/GIS/ITS. Uncertainty processing is required to minimize amount of telecommunication and database on vehicles tracing. Finally, we describe the Logistics Chain Execution (LCE) system to perform plan and control activities for postal logistics chain. To evaluate practical effects of the routing and scheduling system, we perform a pretest for the performance of the tabu search algorithm. And then we compare our result with the result of the pick-up and delivery routing plan generated manually by postmen.