• 한국인터넷방송통신학회논문지
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• 제13권6호
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• pp.101-108
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• 2013

본 논문에서는, NACK 메시지가 스펙트럼 공유와 협력을 위한 명령으로 사용되어지는 방법을 제안하였다. 1차 사용자의 직접 연결이 중단될 때, 협력과 공유의 자동 반복을 허가하고, 패러다임 기반의 협력 스펙트럼 공유의 조정 메시지의 수를 절약하기 위해 허가한다. 공유 시, ${\alpha}$의 남은 전력 부분이 1차 재전송 신호인 동안, 2차 전송된 신호를 위한 $1-{\alpha}$ 전력 부분은 중계기 공유로 선택된다. 중계기를 사용하지 않는 경우, 1차 송신단은 전체 전력($1-{\alpha}$)를 사용하여 신호를 재전송 하기 위해 NACK를 사용한다. 두 시스템은 BPSK 신호를 적용한 것으로 가정한다. 이 기법에서, 2차 사용자는 공동 최적화 복호를 하는 것으로 제안한다. 프레임 오류율(FER) 성능은 양 시스템에서 분석된다. 이론과 시뮬레이션 결과는 본 프로토콜의 유효성을 분석하고 효율적임을 확인하였다.

• 한국콘텐츠학회논문지
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• 제13권1호
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• pp.1-8
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• 2013

얼굴 영상 데이터베이스에서 제공하는 눈 좌표에 의존해서 부분 자동 얼굴 인식 알고리즘을 설계 구현하면 실 환경 얼굴 인식 시스템에서는 눈 좌표 추출 알고리즘의 정확도에 따라 인식 성능이 달라질 수 있다. 본 논문에서는 얼굴의 눈, 코, 입 및 윤곽선 정보를 바탕으로 설정한 특징점 기반의 얼굴 모델 그래프를 생성하여 얼굴 영상에 정합시키고 각 특징점에서 Gabor 및 LBP 피쳐를 추출해서 결합하는 방식의 완전 자동 얼굴 인식 알고리즘을 제안하였다. 본 알고리즘에서는 완전 자동으로 얼굴 영상에 얼굴 모델 그래프를 맞출 뿐만 아니라 기존의 Gabor 피쳐에 LBP 피쳐를 추가함으로써 인식 성능을 극대화 시킬 수 있도록 하였다. 제안한 알고리즘을 FERET 데이터베이스에 적용해 본 결과 1,000명 이상의 얼굴을 실시간으로 인식할 수 있었고 각 데이터 집합에 대해서 우수한 인식 성능을 얻을 수 있었다.

• Journal of Welding and Joining
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• 제35권2호
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• pp.43-51
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• 2017

The automatic welding systems, have received much attention in recent years, because they are highly suitable not only to increase the quality and productivity, but also to decrease manufacturing time and cost for a given product. Automatic welding work in semiconductor or space industry to be carried out in pipe line and butt joint mostly and plasma arc welding(PAW) is actively applied. To get the desired quality welds in automated welding system is challenging, a mathematical model is needed that has complete control over the relevant process parameters in order to obtain the required mechanical properties. However, In various industries the welding process mathematical model is not fully formulated for the process parameter and on the welding conditions, therefore only partial variables can be predicted. Therefore, this paper investigates the interaction between the welding parameters and mechanical properties for predicting the weld bead geometry by analyzing the S/N ratio.

• 디지털콘텐츠학회 논문지
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• 제18권8호
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• pp.1509-1516
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• 2017

일인칭 관점의 훈련 시스템에서, 사용자는 실제적인 경험을 필요로 하는데, 이런 실제적인 경험을 제공하기 위하여 가상의 이미지 또는 실제의 이미지를 동시에 제공해야 한다. 이를 위해 본 논문에서는 자동적으로 사람의 팔을 분할하는 것과 이미지 합성 방법을 제안한다. 제안 방법은 팔 분할 부분과 이미지 합성 부분으로 구성된다. 팔 분할은 임의의 이미지들을 입력으로 받아서 팔을 분할하고 알파 매트(alpha matte)를 출력한다. 이는 종단 간 학습이 가능한데 이 부분에서 우리는 FCN(Fully Convolutional Network)을 활용했기 때문이다. 이미지 합성부분은 팔 분할의 결과와 길과 건물 같은 다른 이미지와의 이미지 조합을 만들어 낸다. 팔 분할 부분에서 네트워크를 훈련시키기 위하여, 훈련 데이터는 전체 비디오 중에서 팔의 이미지를 잘라내어 사용하였다.

• 한국진공학회:학술대회논문집
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• 한국진공학회 2013년도 제45회 하계 정기학술대회 초록집
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• pp.277.1-277.1
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• 2013

Molecular diagnostics consists of three processes, which are a sample pretreatment, a nucleic acid amplification, and an amplicon detection. Among three components, sample pretreatment is an important process in that it can increase the limit of detection by purifying nucleic acid in biological sample from contaminants that may interfere with the downstream genetic analysis such as nucleic acid amplification and detection. To achieve point-of-care virus detection system, the sample pretreatment process needs to be simple, rapid, and automatic. However, the commercial RNA extraction kits such as Rneasy (Qiagen) or MagnaPure (Roche) kit are highly labor-intensive and time-consuming due to numerous manual steps, and so it is not adequate for the on-site sample preparation. Herein, we have developed a rotary microfluidic system to extract and purify the RNA without necessity of external mechanical syringe pumps to allow flow control using microfluidic technology. We designed three reservoirs for sample, washing buffer, and elution buffer which were connected with different dimensional microfluidic channels. By controlling RPM, we could dispense a RNA sample solution, a washing buffer, and an elution buffer successively, so that the RNA was captured in the sol-gel solid phase, purified, and eluted in the downstream. Such a novel rotary sample preparation system eliminates some complicated hardwares and human intervention providing the opportunity to construct a fully integrated genetic analysis microsystem.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권3호
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• pp.1040-1057
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• 2014

In this paper, a new bit rate estimation scheme is proposed to determine the bit rate for each subclass in an MPEG-2 TS to H.264/AVC transcoder after dividing an input MPEG-2 TS sequence into several subclasses. Video format transcoding in conventional IPTV and Smart TV services is a time-consuming process since the input sequence should be fully transcoded several times with different bit-rates to decide the bit-rate suitable for a service. The proposed scheme can automatically decide the bit-rate for the transcoded video sequence in those services which can be stored on a video streaming server as small as possible without losing any subject quality loss. In the proposed scheme, an input sequence to the transcoder is sub-classified by hierarchical clustering using a parameter value extracted from each frame. The candidate frames of each subclass are used to estimate the bit rate using a statistical analysis and a mathematical model. Experimental results show that the proposed scheme reduces the bit rate by, on an average approximately 52% in low-complexity video and 6% in high-complexity video with negligible degradation in subjective quality.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.1252-1271
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• 2013

Automatic image annotation has become an increasingly important research topic owing to its key role in image retrieval. Simultaneously, it is highly challenging when facing to large-scale dataset with large variance. Practical approaches generally rely on similarity measures defined over images and multi-label prediction methods. More specifically, those approaches usually 1) leverage similarity measures predefined or learned by optimizing for ranking or annotation, which might be not adaptive enough to datasets; and 2) predict labels separately without taking the correlation of labels into account. In this paper, we propose a method for image annotation through collaborative similarity metric learning from dataset and modeling the label correlation of the dataset. The similarity metric is learned by simultaneously optimizing the 1) image ranking using structural SVM (SSVM), and 2) image annotation using correlated label propagation, with respect to the similarity metric. The learned similarity metric, fully exploiting the available information of datasets, would improve the two collaborative components, ranking and annotation, and sequentially the retrieval system itself. We evaluated the proposed method on Corel5k, Corel30k and EspGame databases. The results for annotation and retrieval show the competitive performance of the proposed method.

• 한국초전도ㆍ저온공학회논문지
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• 제19권1호
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• pp.5-8
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• 2017

A series of high gradient superconducting magnetic separator (HGMS) for kaolin has been developed. It is used for processing kaolin to increase the brightness or whiteness whether it is for paper or ceramic applications. The HGMS system mainly consists of a solenoid magnet with a zero boil-off helium cryostat, a double reciprocating canisters system, and a PLC (Process Logic Controller) fully automatic control system based on SCADA (Supervisory Control and Data Acquisition) system. We have successfully developed CGC-5.5/300 and CGC-5.0/500 HGMS systems in the recent years, and now three sets of them are on-site operation in different customers. This paper will present recent progress of the HGMS system, the results of some experiments on processing kaolin clay used HGMS, and the on-site operation.

• International Journal of Fluid Machinery and Systems
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• 제8권3호
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• pp.142-154
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• 2015

Nowadays, computational fluid dynamics is commonly used by design engineers to evaluate and compare losses in hydraulic components as it is less expensive and less time consuming than model tests. For that purpose, an automatic tool for casing and distributor analysis will be presented in this paper. An in-house mesh generator and a Reynolds Averaged Navier-Stokes equation solver using the standard $k-{\omega}$ shear stress transport (SST) turbulence model will be used to perform all computations. Two solvers based on the C++ OpenFOAM library will be used and compared to a commercial solver. The performance of the new fully coupled block solver developed by the University of Lucerne and Andritz will be compared to the standard 1.6ext segregated simpleFoam solver and to a commercial solver. In this study, relative comparisons of different geometries of casing and distributor will be performed. The present study is thus aimed at validating the block solver and the tool chain and providing design engineers with a faster and more reliable analysis tool that can be integrated into their design process.

• 한국지능시스템학회논문지
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• 제12권2호
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• pp.171-176
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• 2002

This paper describes a new automated analysis system for model plane engine. An automatic finite element (FE) mesh generation technique, which is based on the fuzzy knowledge processing and computational geometry technique, is incorporated into the system, together with one of commercial FE analysis codes, ANSYS, and one of commercial solid modelers, Designbase, The system allows a geometry model of concern to be automatically converted to different FE models, depending on physical phenomena of plane engine to be analyzed, i.e. deformation analysis, thermal analysis and so on. The FE models are then automatically analyzed by the FE analysis code. Among a whole process of analysis, the definition of a geometry model, the designation of local node patterns, the assignment of material properties and boundary conditions onto the geometry model are only the interactive processes to be done by a user. The interactive operations can be processed in a few minutes. The other processes which are time consuming and labour-intensive in conventional CAE systems are fully automatically performed in a personal computer environment. The proposed analysis system is successfully applied to evaluate a model plane entwine.