• 한국콘텐츠학회논문지
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• 제7권4호
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• pp.74-82
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• 2007

상황 인식을 통한 지능적인 시스템은 홈 자동화 서비스를 제공하기 위하여 매우 중요한 요소로서 강조된다. 본 논문에서 홈 자동화를 구현하기 위하여 홈 내부에서 일어나는 여러 가지 사건들을 사용자 각각에 대하여 다양한 장치를 이용하여 케이스 별로 수집하여 데이터를 저장하고, 케이스 별로 저장된 데이터를 트레이닝 데이터로 이용하여 신경회로망 알고리즘으로 학습을 시켜서 지능적인 홈 자동화 시스템을 구현한다. 이러한 지능적인 홈 자동화 시스템은 사용자에게 적절한 상황에 적절한 서비스를 스스로 판단하여 제공함으로서 거주자의 편의를 제공할 수 있다.

• 제어로봇시스템학회논문지
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• 제11권9호
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• pp.810-815
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• 2005

As the pharmaceutical industry grows and becomes more competitive, the need of automation increases to establish effective mass production and to maintain consistent quality control. Accurate counting and packing of medicinal pills is one of the most essential processes that the automation can benefit. In conventional automated counting and packing processes, the performance of counting process varies with the size, the shape and the dispersion degree of pills. In this research, the authors developed a new pill-counting algorithm based on carefully analyzed characteristics of the pill-drop behavior. Also a new scheme for the packing of an exact number of pills has been implemented. A pill counting and packing machine with the new pill-counting algorithm and the new packing scheme has been constructed and put in an actual production line. To achieve precise and quick sensing of pills dropping at a high speed from the preceding processors, the machine uses non-contact photo sensors. Experimental results from the actual process using the machine are included to verify the effectiveness of the proposed algorithm and the machine.

• 제어로봇시스템학회논문지
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• 제21권9호
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• pp.858-862
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• 2015

This paper presents a new forward-viewing mono-camera based obstacle detection algorithm for mobile robots. The proposed method extracts the coarse location of an obstacle in an image using inverse perspective mapping technique from sequential images. In the next step, graph-cut based image labeling is conducted for estimating the exact obstacle boundary. The graph-cut based labeling algorithm labels the image pixels as either obstacle or floor as the final outcome. Experiments are performed to verify the obstacle detection performance of the developed algorithm in several examples, including a book, box, towel, and flower pot. The low illumination condition, low color contrast between floor and obstacle, and floor pattern cases are also tested.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권1호
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• pp.368-391
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• 2018

Face recognition (FR) with a single sample per person (SSPP) is common in real-world face recognition applications. In this scenario, it is hard to predict intra-class variations of query samples by gallery samples due to the lack of sufficient training samples. Inspired by the fact that similar faces have similar intra-class variations, we propose a virtual sample generating algorithm called k nearest neighbors based virtual sample generating (kNNVSG) to enrich intra-class variation information for training samples. Furthermore, in order to use the intra-class variation information of the virtual samples generated by kNNVSG algorithm, we propose image set based multimanifold discriminant learning (ISMMDL) algorithm. For ISMMDL algorithm, it learns a projection matrix for each manifold modeled by the local patches of the images of each class, which aims to minimize the margins of intra-manifold and maximize the margins of inter-manifold simultaneously in low-dimensional feature space. Finally, by comprehensively using kNNVSG and ISMMDL algorithms, we propose k nearest neighbor virtual image set based multimanifold discriminant learning (kNNMMDL) approach for single sample face recognition (SSFR) tasks. Experimental results on AR, Multi-PIE and LFW face datasets demonstrate that our approach has promising abilities for SSFR with expression, illumination and disguise variations.

• 한국정보통신학회논문지
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• 제20권10호
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• pp.1919-1926
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• 2016

대량의 데이터를 병렬적으로 처리할 수 있는 General-Purpose Graphics Processing Unit(GPGPU)가 최근 많은 분야에서 적용되고 있으며, 이는 전자 설계 자동화 분야에서도 예외가 아니다. SAT 알고리즘은 다양한 전자 설계 자동화 문제에 적용되는 대표적인 알고리즘 중 하나이다. GPGPU를 이용해서 SAT 알고리즘을 가속화하기 위해 노력이 이루어져 왔으나, SAT 알고리즘 자체의 특성으로 인해 병렬화에 어려움이 있어왔다. 이 논문에서는 SAT 알고리즘의 내부 과정 중 비교적 병렬화가 용이한 전달 루틴을 병렬화함으로써 GPGPU 가속화를 적용하였다. 전달 루틴이 희소 행렬의 곱셈과 유사한 점에 착안하여 데이터 구조를 구성하고 이에 맞추어서 병렬적인 전달 루틴을 작성하였다. 병렬적으로 동작하는 쓰레드들 사이의 데이터 손실을 방지하기 위해 아토믹(atomic) 연산을 이용하였다. 벤치마크 SAT 문제들에 대해 기존의 GPGPU 기반 SAT solver에 비해 성능이 10배 이상 향상되었음을 확인하였다.

• 한국공작기계학회:학술대회논문집
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• 한국공작기계학회 1996년도 추계학술대회 논문
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• pp.144-149
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• 1996

The automation of mesh generation in BEM is bery important in numerical analysys field for the time and efficiency. To be solve this problem Probram and Algorithm, to achive purpose of making input data and automation of mesh generation based on Expert system is developed in this study. And function of this program can be rotating and zooming, To prove efficiency and availability of program in result the stress intensity factor which is criteria of fracture mechanics is caculated and compared with other results.

• International Journal of Control, Automation, and Systems
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• 제6권3호
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• pp.306-319
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• 2008

Reaching fault tolerance in technological systems requires to detect malfunctions. This paper presents a diagnostic method that is robust with respect to unknown-but-bounded uncertainties of the dynamical model and the measurements. By using models of the faultless and the faulty behaviours, a state-set observer computes polyhedral sets from which the consistency of the models with the interval measurements is determined. The diagnostic result is proven to be complete, i.e., the set of faults obtained by the diagnostic algorithm includes the actual fault. The algorithm is illustrated by an application example.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2010년도 하계학술대회 논문집
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• pp.51-52
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• 2010

In order to simplify the offline identification of induction motor parameters, a method based on optimization using a Tabu Search algorithm is proposed. The Tabu Search algorithm is used to minimize the error between the actual data and an estimated model. The robustness of the method is shown by identifying parameters of the induction motor in three different cases. The simulation results show that the method successfully estimates the motor parameters.

• 한국레이저가공학회지
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• 제13권2호
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• pp.17-23
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• 2010

It is very important to track a complicate weld seam for the welding automation. Very recently, laser vision sensor becomes a useful sensing tool to find the seams. Until now, however studies of welding automation using a laser vision sensor, focused on either image processing or feature recognition from CCD camera. Even though it is possible to use a simple algorithm for tracking a simple seam, it is extremely difficult to develop a seam-tracking algorithm when the seam is more complex. To overcome these difficulties, this study introduces a simulation system to develop the seam tracking algorithm. This method was verified experimentally to reduce the time and effort to develop the seam tracking algorithm, and to implement the sensing device.

• Journal of Power Electronics
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• 제19권5호
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• pp.1289-1302
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• 2019

In this paper, an optimal allocation method of a hybrid active power filter in an active distribution network is designed based on the differential evolution algorithm to resolve the harmonic generation problem when a distributed generation system is connected to the grid. A distributed generation system model in the calculation of power flow is established. An improved back/forward sweep algorithm and a decoupling algorithm are proposed for fundamental power flow and harmonic power flow. On this basis, a multi-objective optimization allocation model of the location and capacity of a hybrid filter in an active distribution network is built, and an optimal allocation scheme of the hybrid active power filter based on the differential evolution algorithm is proposed. To verify the effect of the harmonic suppression of the designed scheme, simulation analysis in an IEEE-33 nodes model and an experimental analysis on a test platform of a microgrid are adopted.