• 대한전기학회:학술대회논문집
• /
• 대한전기학회 2002년도 하계학술대회 논문집 D
• /
• pp.2690-2692
• /
• 2002

This paper describes a technique for human sensibility evaluation using 10-channel EEG(electroencephalogram). The proposed method uses the linear predictor coefficients as EEG feature parameters and a neural network as sensibility pattern classifier. For subject independent system, multiple templates are stored and the most similar template can be selected. EEG signals corresponding to 4 emotions such as, relaxation, joy, sadness and anger are collected from 5 armature performers. The states of relaxation and joy are considered as positive sensibility and those of sadness and anger as negative. The classification performance using the proposed method is about 72.6%. This will be promising performance in the human sensibility evaluation.

• 한국정보과학회논문지:시스템및이론
• /
• 제26권1호
• /
• pp.1-8
• /
• 1999

본 논문에서는 볼륨 렌더링에서 화상영역 수퍼샘플링을 효율적으로 수행시키는 방법을 제시한다. 이 알고리즘은 부화소에서 나오는 평행 광선들 간의 규칙성을 이용하여 각 화소로부터 상대 위치가 같은 부화소에서 나오는 광선마다 한 개씩의 원형을 만들어 둠으로써 수퍼샘플링을 효율적으로 수행한다. 또한 본 알고리즘은 객체순서 알고리즘에 기반을 두고 있으므로 화상순서 알고리즘에서도 수퍼샘플링을 하는 것보다 매우 빠르게 처리하게 된다. 또한 본 논문에서는 적응 수퍼샘플링 방법도 제안한다. 이는 에일리어싱이 생길 가능성이 많은 부분에서만 수퍼샘플링을 하며, 이러한 영역은 분류화 전처리 단게에서 미리 결정해둔다.

• ETRI Journal
• /
• 제44권5호
• /
• pp.780-793
• /
• 2022

Large-scale ontology management is one of the main issues when using ontology data practically. Although many approaches have been proposed in relational database management systems (RDBMSs) or object-oriented DBMSs (OODBMSs) to develop large-scale ontology management systems, they have several limitations because ontology data structures are intrinsically different from traditional data structures in RDBMSs or OODBMSs. In addition, users have difficulty using ontology data because many terminologies (ontology nodes) in large-scale ontology data match with a given string keyword. Therefore, in this study, we propose a (graph database-based ontology management system (GOMS) to efficiently manage large-scale ontology data. GOMS uses a graph DBMS and provides new query templates to help users find key concepts or instances. Furthermore, to run queries with multiple joins and path conditions efficiently, we propose GOMS encoding as a filtering tool and develop hash-based join processing algorithms in the graph DBMS. Finally, we experimentally show that GOMS can process various types of queries efficiently.

• Investigative Magnetic Resonance Imaging
• /
• 제4권2호
• /
• pp.120-127
• /
• 2000

최근에 해상도의 손실없이 신호대잡음비를 개선시킬 수 있는 적응 템플릿 필터링이 제안되었다. 적응 템플릿 필터링은 다중 템플릿들 중에서 현재 복셀의 주변 구조와 가장 잘 매칭이 되는 템플릿을 선택하여 적응필터 링을 적용하는 방법이다. 적응 템플릿 필터링을 자기공명영상에 적용할때 기존의 필터링 방법들에 비하여 향상된 결과를 얻을 수 있으나, $T_1$ 영상과 같이 비교적 작은 동적 범위를 가진 영상에서는 에지에서 계단모양의 artifact가 발견되곤 한다. 이것은 자기 공명영상에서 복셀의 부분적인 볼륨 효과에 기인하는 것으로 여러 조직의 성분을 포함하고 있는 경계면의 복셀들에 적응 템플릿 필터링이 적용될 경우 다중성분을 가진 복셀들의 그레이레벨이 인접한 단일성분의 그레이레벨 값에 가까워져 에지가 강조되기 때문이다 본 논문에서는 다중 성분을 갖는 복셀들을 선별하여 이들에 대해서는 가장 큰 크기의 템플릿을 할당함으로써 artifact를 제거하는 방법을 제안하였다. 제안한 방법을 $T_1$ 자기공명영상과 팬텀 영상에 적용한 결과 에지 artifact가 사라지는 것을 확인할 수 있었으며, 최대 신호대잡음비 면에서도 향상된 결과를 얻을 수 있었다.

• Industrial Engineering and Management Systems
• /
• 제11권3호
• /
• pp.233-240
• /
• 2012

The implementation of business process management (BPM) systems in large number of business organizations transforms BPM system into such a level of maturity and tends to collect large repositories of business process (BP) models. This issue encourages BP flexibility that leads to a large number of process variants derived from the same model, but differing in structure, to be stored in the large repositories of BP models. Therefore, the repositories may include thousands of activities and related business objects with variation of requirements and quality of service. It is a common practice to customize processes from reference processes or templates in order to reduce the time and effort required to design and deploy processes on all levels. In order to address redundancy and underutilization problems, a generic process model, called as reference BP, is absolutely necessary to cover the best of process variants. This study aims to develop multiple-objective business process genetic algorithm (MOBPGA) to find a set of non-dominated (Pareto) solutions of business reference model to enhance conventional approach which considered only a single objective on creating BP reference model by using proximity score measurement. A mixed-integer linear program is constructed to evaluate performance of the proposed MOBPGA on small-scale problems by using standard measures for multiple-objective techniques. The results will show the viability of applying MOBPGA in terms of simultaneously maximizing proximity score measurement, minimizing total duration, and total costs of the selected reference model.

• 한국재료학회:학술대회논문집
• /
• 한국재료학회 2011년도 추계학술발표대회
• /
• pp.9-9
• /
• 2011

The transfer of nano-science accomplishments into technology is severely hindered by a lack of understanding of barriers to nanoscale manufacturing. The NSF Center for High-rate Nanomanufacturing (CHN) is developing tools and processes to conduct fast massive directed assembly of nanoscale elements by controlling the forces required to assemble, detach, and transfer nanoelements at high rates and over large areas. The center has developed templates with nanofeatures to direct the assembly of carbon nanotubes and nanoparticles (down to 10 nm) into nanoscale trenches in a short time (in seconds) and over a large area (measured in inches). The center has demonstrated that nanotemplates can be used to pattern conducting polymers and that the patterned polymer can be transferred onto a second polymer substrate. Recently, a fast and highly scalable process for fabricating interconnects from CMOS and other types of interconnects has been developed using metallic nanoparticles. The particles are precisely assembled into the vias from the suspension and then fused in a room temperature process creating nanoscale interconnect. The center has many applications where the technology has been demonstrated. For example, the nonvolatile memory switches using (SWNTs) or molecules assembled on a wafer level. A new biosensor chip (0.02 $mm^2$) capable of detecting multiple biomarkers simultaneously and can be in vitro and in vivo with a detection limit that's 200 times lower than current technology. The center has developed the fundamental science and engineering platform necessary to manufacture a wide array of applications ranging from electronics, energy, and materials to biotechnology.

• 제어로봇시스템학회논문지
• /
• 제11권1호
• /
• pp.50-57
• /
• 2005

We present a simple and effective method of face and facial feature detection under pose variation of user face in complex background for the human-robot interaction. Our approach is a flexible method that can be performed in both color and gray facial image and is also feasible for detecting facial features in quasi real-time. Based on the characteristics of the intensity of neighborhood area of facial features, new directional template for facial feature is defined. From applying this template to input facial image, novel edge-like blob map (EBM) with multiple intensity strengths is constructed. Regardless of color information of input image, using this map and conditions for facial characteristics, we show that the locations of face and its features - i.e., two eyes and a mouth-can be successfully estimated. Without the information of facial area boundary, final candidate face region is determined by both obtained locations of facial features and weighted correlation values with standard facial templates. Experimental results from many color images and well-known gray level face database images authorize the usefulness of proposed algorithm.

• BMB Reports
• /
• 제43권11호
• /
• pp.732-737
• /
• 2010

RNA interference is a post-transcriptional silencing mechanism triggered by the bioavailability and/or exogenous introduction of double-stranded RNA (dsRNA) into cells. Here we describe a novel method for the synthesis of siRNA in a single vessel. The method employs in vitro transcription and a single-stranded DNA (ssDNA) template and design, which incorporates upon self-annealing, two promoters, two templates, and three loop regions. Using this method of synthesis we generated efficacious siRNAs designed to silence both exogenous and endogenous genes in mammalian cells. Due to its unique design the single-stranded template is easily amenable to adaptation for attachment to surface platforms for synthesis of siRNAs. A siRNA synthesis platform was generated using a 3' end-biotinylated ssDNA template tethered to a streptavidin coated surface that generates stable siRNAs under multiple cycles of production. Together these data demonstrate a unique and robust method for scalable siRNA synthesis with potential application in RNAi-based array systems.

• 한국진공학회:학술대회논문집
• /
• 한국진공학회 2014년도 제46회 동계 정기학술대회 초록집
• /
• pp.369.1-369.1
• /
• 2014

Au-functionalized $WO_3$ nanotubes were synthesized using ZnO nanowire templates. Transmission electron microscopy revealed the Au nanoparticles on the outer surface of a typical $WO_3$ nanotube ranged from 5 to 25 nm. The multiple networked Au-functionalized $WO_3$ nanotube sensors showed responses of 820-3, 924% in the $NO_2$ concentration range of 1-5 ppm at $300^{\circ}C$. These responses were approximately 5-12 fold higher than those observed for pristine $WO_3$ nanotube sensors over the same $NO_2$ concentration range. A model describing the gas sensing mechanism of Au-functionalized $WO_3$ nanotubes is discussed.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2017년도 추계학술대회
• /
• pp.166-169
• /
• 2017

현재 딥러닝을 이용한 연구들이 활발하게 이뤄지고 있고, 많은 분야에서 좋은 결과를 보여주고 있다. PCB(Printed Circuit Board) 기판 위에 실장 된 부품을 인식할 때 템플릿 매칭을 이용한 방식이 주를 이룬다. 하지만 템플릿 매칭은 모양과 방향, 밝기에 따라 여러 템플릿이 존재해야하고, 영상 전체를 탐색하여 매칭하기 때문에 수행시간이 오래 걸린다. 또한 인식률이 상당히 떨어지는 단점이 존재한다. 이로 인해 본 논문에서는 하나의 영상에서 여러 개의 물체를 분류할 때 사용하는 기계학습 방법 중 하나인 Faster-RCNN(Region-based Convolutional Neural Networks)을 이용하여 PCB 부품들을 인식하는 방식을 사용하였으며, 이 방법은 템플릿 매칭 방식보다 수행시간과 인식 면에서 더욱 좋은 성능을 보여준다.