• Journal of information and communication convergence engineering
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• 제2권3호
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• pp.172-176
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• 2004

In special effects industry there is a high demand to convincingly mimic the appearance and behavior of natural phenomena such as smoke, waterfall, rain, and fire. Particle systems are methods adequate for modeling fuzzy objects of natural phenomena. This paper presents particle system graphics library for generating special effects in video games and virtual reality applications. The library is a set of functions that allow c++ programs to simulate the dynamics of particles for special effects in interactive and non-interactive graphics applications, not for scientific simulation.

• Journal of information and communication convergence engineering
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• 제7권4호
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• pp.465-468
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• 2009

There is to solution the environmental data which the importance is seriously taken into consideration in the the 21st century that is set up whether or not be a welfare society advanced country according to quality of life elevations through environments in question to a preferential assignment for an environmental control will decrease of measures, and be proceeded so as to be urgent. However, shall get measurement of a correct environmental pollution duty and reduction measures stopped on bases of the data which there is reliability, and decrease excessive pollution than what, and may overcome efficiency of waste of cost environmental pollution management. Environmental pollution data collected are regarded as important, and, specially, a collection of environmental data forecast a pollution circle, or to analyze future development is important very at an environmental policy decision or decision making step to be national besides pollution reductions.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.945-949
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• 2004

These days there are so many scheduling systems or softwares. But only few scheduling systems have succeeded in the market. In spite of powerful engine and functions, those systems have difficulties to be applied in real processes. In real processes, there are various constraints caused by physical or systematical environments of plants. Those constraints are too many to be handled in the system. This problem makes it difficult for the system to represent the details of processes. In order to resolve this problem, we have developed a specialized scheduling system for a target process. The system could be developed by the experts for target process and researchers for scheduling. In this study, a scheduling system for PVC process has been developed as an MILP (Mixed integer linear programming) model and coded in $Fortran^{TM}$. The scheduling system has been applied to two processes, which have different characteristics. Simulation results indicate that the profit of the target process can be increased by about 5% by implementing the scheduling system.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1343-1346
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• 2005

In the cold rolling mill, coil breakage that generated in rolling process makes the various types of troubles such as the degradation of productivity and the damage of equipment. Recent researches were done by the mechanical analysis such as the analysis of roll chattering or strip inclining and the prevention of breakage that detects the crack of coil. But they could cover some kind of breakages. The prediction of Coil breakage was very complicated and occurred rarely. We propose to build effective prediction modes for coil breakage in rolling process, based on data mining model. We proposed three prediction models for coil breakage: (1) decision tree based model, (2) regression based model and (3) neural network based model. To reduce model parameters, we selected important variables related to the occurrence of coil breakage from the attributes of coil setup by using the methods such as decision tree, variable selection and the choice of domain experts. We developed these prediction models and chose the best model among them using SEMMA process that proposed in SAS E-miner environment. We estimated model accuracy by scoring the prediction model with the posterior probability. We also have developed a software tool to analyze the data and generate the proposed prediction models either automatically and in a user-driven manner. It also has an effective visualization feature that is based on PCA (Principle Component Analysis).

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.2444-2447
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• 2005

The purpose of this study was to analyze the gait motion of the aged with a lower limbs orthosis. The gait motion was analyzed with and without lower limbs orthosis using APAS 3D Motion Analysis System. The pattern of lower limbs motion was tracked based on four targets attached to the body of the subject. The targets were positioned at hip, knee, ankle, and foot. The parameters measured were the displacement, the velocity, and the acceleration of the four targets. The improvement in the measured values on the displacement and the velocity of the four targets were small with the orthosis due to inconvenience of wearing it, but the increase in the acceleration was large due to the elastic force of the rubber actuator. Especially, the increase of the acceleration of foot with lower limbs orthosis seems to help the gait motion of the elderly.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권6호
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• pp.2086-2097
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• 2021

The current cultural assets are being restored depending on the opinions of experts (craftsmen). We intend to introduce digitalized artificial intelligence techniques, excluding the personal opinions of experts on reconstruction of such cultural properties. The first step toward restoring digitized cultural properties is separation. The restoration of cultural properties should be reorganized based on recorded documents, period historical backgrounds and regional characteristics. The cultural properties in the form of photographs or images should be collected by separating the background. In addition, when restoring cultural properties most of them depend a lot on the tendency of the restoring person workers. As a result, it often occurs when there is a problem in the accuracy and reliability of restoration of cultural properties. In this study, we propose a search method for learning stored digital cultural assets using AI technology. Pagoda was selected for restoration of Cultural Properties. Pagoda data collection was collected through the Internet and various historical records. The pagoda data was classified by period and region, and grouped into similar buildings. The collected data was learned by applying the well-known CNN algorithm for artificial intelligence learning. The pagoda search used Yolo Marker to mark the tower shape. The tower was used a total of about 100-10,000 pagoda data. In conclusion, it was confirmed that the probability of searching for a tower differs according to the number of pagoda pictures and the number of learning iterations. Finally, it was confirmed that the number of 500 towers and the epochs in training of 8000 times were good. If the test result exceeds 8,000 times, it becomes overfitting. All so, I found a phenomenon that the recognition rate drops when the enemy repeatedly learns more than 8,000 times. As a result of this study, it is believed that it will be helpful in data gathering to increase the accuracy of tower restoration.

• 한국정보통신학회논문지
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• 제19권1호
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• pp.208-220
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• 2015

본 논문은 스마트시대 이러닝 운영 현황의 한계점을 분석하고 인터넷 정신을 접목한 개선방안을 제시하여 그 효과를 실증적으로 분석하였다. 대학에서 활용되는 이러닝 클래스의 운영방식에 대하여 중점적으로 논한다. 오프라인 클래스의 운영모델을 온라인 환경에 원용함으로 인해 발생하는 부작용 등을 통계적으로 확인한다. 특히 시간이라는 정량적 개념이 온라인 학습에서 참여확인을 위해 활용되고 있는 이러닝 모델의 현실적, 기능적 한계를 구체적으로 분석하였다. 이에 대한 개선안으로 인터넷의 태생적 특징인 참여, 개방, 공유의 정신을 이러닝에 접목시킬 수 있는 방안으로 QBS시스템을 개발, 제안한다. 학습자가 주도적으로 문제를 만들어 학습 자료로써 공유하는 QBS를 실제 이러닝 현장에 적용하여 학습자의 행동양상을 분석한다. 결과적으로 이러닝 학습 환경에서 학습자 참여형 모델이 학업성취도에 유의미한 영향이 있음을 확인함으로써 스마트시대의 새로운 이러닝 모델의 개선방향을 제시한다.

• 한국정보통신학회논문지
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• 제26권7호
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• pp.1060-1070
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• 2022

정보 기술의 발달로 시스템의 규모는 대형화되고 역할의 종류도 다양해져서 기존의 역할기반 접근제어로는 확장성, 호환성, 복잡성 등의 한계에 부딪히게 되었다. 블록체인 기술은 기존 보안 취약점에 새로운 해법을 제시하며 다양한 분야에서 활용되고 있다. 본 논문에서는 저장소의 접근 빈도와 저장 용량에 따라 요구되는 가스 및 처리 시간이 달라지는 블록체인 환경에서 효율적인 역할기반접근제어를 제안하였다. 제안하는 방식은 재사용 가능한 단위의 역할을 재정의하고, 동적인 상태를 효율적으로 반영할 수 있는 계층적 구조를 도입하여 복잡성을 해결하고 효율성 및 확장성을 강화하였고, 암호화폐 연동이 가능할 수 있도록 사용자 중심의 인증기능을 포함하였다. 제안하는 모델은 마르코프체인을 이용하여 이론적으로 먼저 검증하고, 이더리움 프라이빗 네트워크에서 구현하여 대표함수에 대한 비교 실험을 실행하여 사용자 추가 및 트랜잭션 등록 시에 요구되는 시간과 가스 효율성에 대하여 검증하였다. 향후 이를 기반으로 예외 상황 등을 고려한 구조 확장 및 실험 등이 요구된다.