• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.524-526
• /
• 2016

본 논문에서는 클러스터의 개수를 다양하게 설정하여 누적된 변화율이 가장 작은 변화율을 가진 클러스터 개수를 동적으로 설정하는 방법을 제안하여 백내장 영역을 추출하는 방법을 제안한다. 제안된 백내장 추출 방법은 애견 안구 영상에서 관심 영역을 ROI 영역으로 설정한다. 설정된 ROI 영역에 퍼지 스트레칭 기법을 적용하여 픽셀의 상한 값과 하한 값을 조정한다. 퍼지 스트레칭 기법이 적용된 ROI 영역에서 FCM 알고리즘을 적용하여 클러스터 소속 행렬의 중심 값의 변화율이 가장 적은 개수를 최적의 클러스터 개수로 설정하여 ROI 영역을 양자화 한다. 양자화된 ROI 영역에서 침식 및 팽창 기법을 적용하고 ROI 영역의 면적을 기준으로 1/5보다 적은 면적을 가진 객체를 잡음으로 간주하여 제거한다. 잡음이 제거된 ROI 영역에서 ROI 면적의 3/5이상인 영역을 가진 안구 객체를 백내장 영역으로 추출한다. 제안된 방법의 효율성을 분석하기 위해서 애견 안구 영상을 대상으로 실험한 결과, 기존의 FCM을 적용하여 ROI 영역을 양자화 하는 처리 시간보다 제안된 클러스터 수 설정 기반 FCM을 적용한 양자화 방법이 처리 시간이 적게 소요되고 객체들을 정확히 분류하는 것을 실험을 통하여 확인하였다.

• The Korean Journal of Nuclear Medicine Technology
• /
• v.12 no.3
• /
• pp.222-228
• /
• 2008

Purpose: The objectives of this study were to compare the left ventricle ejection fraction (LVEF) from gated cardiac blood pool scan (GCBP) for analysis auto-drawing region of interest mode (AROI) and manual-drawing region of interest mode (MROI), respectively. To evaluation the relationships between values produced by both ROI modes. Materials and Methods: Gated cardiac blood pool scan using in vivo method Tc-99m Red Blood Cell were performed for 33 patients (mean age: $53.2{\pm}13.2\;y$) with objective of chemotherapy using single head gamma camera (ADAC Laboratories, Milpitas, CA). Left ventricular ejection fraction was automatically and manually measured, respectively. Results: There was significant difference statistically between AROI and MROI ($LVEF^{AROI}$: $71.4{\pm}12.4%$ vs. $LVEF^{MROI}$: $65.8{\pm}5.9%$, p=0.003). Intra-observer agreements in AROI was higher than MROI ($\gamma^{AROI}=0.964$, Cronbach's $\alpha^{AROI}=0.986$ vs. $\gamma^{MROI}=0.793$, Cronbach's $\alpha^{MROI}=0.911$), either. Additionally, there was no significant difference statistically at best septal view (${\Delta}LVEF^{BSV}=0.7{\pm}2.3%$, p=0.233), however statistically significant difference was found at badly separated septal view (${\Delta}LVEF=10.9{\pm}11.4%$, p=0.001). Moreover, Intra-observer agreements in best septal view was higher than badly separated septal view ($\gamma^{BSV}=0.939$, Cronbach's $\alpha^{BSV}=0.978$; $\gamma=0.948$, Cronbach's $\alpha=0.981$ at AROI, $\gamma^{BSV}=0.836$, Cronbach's $\alpha^{BSV}=0.936$; $\gamma=0.748$, Cronbach's $\alpha=0.888$ at MROI). Conclusion: When best septal view was acquired, LVEF by AROI and MROI indicated not different. Comparing Intra-observer agreements with AROI and MROI, the AROI tended to show higher. Therefore, it is considered that the AROI than MROI is valuable in reproducibility and objective when ROI analysis by acquire left ventricular of best septal view.

• The Journal of the Korea Contents Association
• /
• v.14 no.4
• /
• pp.19-28
• /
• 2014

Recent advancements in the IT industry have made daily life more convenient than ever before. In particular, studies have focused on the position detection of individuals using the GPS in smartphones, and this application has been utilized actively in emergency rescue organizations. However, existing methods send the location information of a user to a predetermined guardian set by the user or to a control center when the user enters into or deviates from a predetermined space. Such spaces are created by an arbitrary radius, thereby making it difficult to set a detailed area by using an existing radius-area creation method in an unstructured space and path with a specific road, such as for trekking, amusement parks, or mountaineering. This study proposes a novel method for setting up an area by connecting multiple radii to improve the existing radius-area creation method in order to easily set a detailed area in smart devices or on the Internet. In addition, an optimization method for resource use is proposed by comparing the operation results in which a user's location is detected by using the proposed location-based area setup method and deviation detection.

• Journal of Korean Society of Transportation
• /
• v.16 no.4
• /
• pp.139-152
• /
• 1998

본 연구에서는 3차원그래픽스를 이용하여 영상검지기에서의 교통정보를 얻기 위한 검지영역 설정시 안정된 검지영역을 찾기 위한 시뮬레이터를 개발하였다. 기존의 영상검지기에서는 사용자가 임의로 검지영역을 설정하여 교통정보를 수집함으로 인하여 안정된 교통정보를 얻기가 어려웠으며, 영상카메라의 설치시 과다한 설치규격의 설정으로 비효율적 측면이 발생될 수 있다. 이러한 단점을 보완하기 위해서는 영상검지기를 현장에 설치하기 전에 영상검지기 설치를 위한 사전 모의실험을 토대로 최적의 안정된 설치위치 결정이 매우 중요하다. 본 연구에서 개발한 모의 실험기는 도로의 기하구조와 차량을 모델화 하고 이를 3차원으로 좌표화하여 좌표변환식과 원근변환식을 이용하여 3차원좌표를 2차원으로 변환시키고 컴퓨터 모니터에 투영하여 대상 설치위치에서의 결과를 가시화하였다. 본 연구는 개발된 모의실험기의 적용성 검토를 위하여 현재 영상검지기를 운영중에 있는 한 접근로를 대상으로 사례연구를 수행하였다. 수행결과 교통량과 통행속도계측시 최적검지영역 설정을 위한 영상검지기의 설치규격은 높이가 각각 7m, 12m이상이며, 수직각은 각각 $30^{\circ}$, $80^{\circ}$인 것으로 나타났다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.22 no.1
• /
• pp.108-113
• /
• 2012

Routing paths are mightily important for the network security in WSNs. To maintain such routing paths, sustained path re-selection and path management are needed. Region segmentation based path selection method (RSPSM) provides a path selection method that a sensor network is divided into several subregions, so that the regional path selection and path management are available. Therefore, RSPSM can reduce energy consumption when the path re-selection process is executed. However, it is hard to guarantee optimized secure routing path at all times since the information using the path re-selection process is limited in scope. In this paper, we propose partial path selection method in each subregion using preselected partial paths made by RSPSM for routing path optimization in SEF based sensor networks. In the proposed method, the base station collects the information of the all partial paths from every subregion and then, evaluates all the candidates that can be the optimized routing path for each node using a evaluation function. After the evaluation process is done, the result is sent to each super DN using the global routing path information (GPI) message. Thus, each super DN provides the optimized secure routing paths using the GPI. We show the effectiveness of the proposed method via the simulation results. We expect that our method can be useful for the improvement of RSPSM.

• Progress in Medical Physics
• /
• v.12 no.1
• /
• pp.41-50
• /
• 2001

The quantification analysis of renal scintigraphy is strongly affected by the location, shape and size of region of interest(ROI). When ROIs are drawn manually, these ROIs are not reproducible due to the operators' subjective point of view, and may lead to inconsistent results even if the same data were analyzed. In this study, the effect of the ROI variation on the analysis of renal scintigraphy when the ROIs are drawn manually was investigated, and in order to obtain more consistent results, methods for automated ROI definition were developed and the results from the application of the developed methods were analyzed. Relative renal function, glomerular filtration rate and mean transit time were selected as clinical parameters for the analysis of the effect of ROI and the analysis tools were designed with the programming language of IDL5.2. To obtain renal scintigraphy, $^{99m}$Tc-DTPA was injected to the 11 adults of normal condition and to study the inter-operator variability, 9 researchers executed the analyses. The calculation of threshold using the gradient value of pixels and border tracing technique were used to define renal ROI and then the background ROI and aorta ROI were defined automatically considering anatomical information and pixel value. The automatic methods to define renal ROI were classified to 4 groups according to the exclusion of operator's subjectiveness. These automatic methods reduced the inter-operator variability remarkably in comparison with manual method and proved the effective tool to obtain reasonable and consistent results in analyzing the renal scintigraphy quantitatively.

• Journal of The Korean Association For Science Education
• /
• v.18 no.4
• /
• pp.539-544
• /
• 1998

The consistency and balance of objectives by objective domains in units, sub-units and instructional units were investigated. The 6th elementary biology curricular teaching guidebooks were analysed. Domains of objectives are cognitive, inquiry process, instrumental skill, creative, affective and STS. Cognitive objectives were most dominant in all units, sub-units and instructional units. But no objective for creative domain were suggested. In unit and sub-unit, proportions of objectives were cognitive, inquiry process, affective, instrumental skill and STS domains in order. Objectives for cognitive and inquiry process domains were more than others in instructional units, Except cognitive and inquiry process domains, objectives for the others were not consistent in all units, sub-units and instructional units. Especially, the percentages of objectives for affective domain decreased in units, sub-units and instructional units orderly. These resulted from teaching objective domains categorized formally, Thus, it is necessary to develope curriculum and textbook to be consistent and balanced with objective domains and reflect upon the characteristics of them.

• Progress in Medical Physics
• /
• v.14 no.4
• /
• pp.268-278
• /
• 2003

Purpose：The aim of this study was to evaluate the striatal binding ratio, the anterior/posterior ratio and reproducibility using a template based registration method using the standard MR template as a replacement for each patients MR image. Materials and Methods：This study analyzed the 123I IPT SPECT images of 30 patients with IPD, who were subdivided into 17 patients (56.6$\pm$10.8 yr, M/F : 8/9.) with mild IPD, and 13 patients (56.4$\pm$11.1 yr, M/F : 8/5) with severe IPD. In addition, 11 normal controls (57.8$\pm$14.4 yr, M/F : 4/7) were also analyzed. The ROIs were positioned manually in the same slice showing the highest striatal activity using the traditional manual method, whereas those were positioned automatically in a mid striatal slice of the SPECT image coregistered to the standard T1 weighted MR template. Results : The specific binding ratio (SBR) obtained using the template based registration method strongly correlated with those using the manual method in all groups : normal controls (r=0.85, P<0.001), mild IPD (r=0.84, P<0.001) and severe IPD (r=0.7, P=0.01). The SBRs obtained using both methods were significantly different among the three groups (P=0.05) and the SBRs obtained by the template based registration method were higher than those by the manual method (P=0.05) in all three groups. The APRs obtained by the template based registration correlated with those using manual method in only mild IPD (r=0.72, P=0.0). The APRs obtained by the template based registration method were significantly different from the normal controls and those with mild or severe IPD (P<0.05), whereas those obtained using the manual method were not significantly different among the three groups (P＞0.1). The reproducibility (rmsCV) of the template based registration method was 7.2% (normal controls：5.2%, mild IPD：4.2%, severe IPD：10.8%), whereas the reproducibility of the manual method was 31% (normal controls：19.7%, mild IPD：21.7%, severe IPD：46.2%). Conclusion：These results show that the use of $^{123}$ I-IPT SPECT for assessing IPD is affected by the methods used to position the striatal ROI. The template based registration method using the standard MR template can be useful in diagnosing IPD and assessing the disease severity with a high reproducibility. Therefore, the template based registration method appears to be a good replacement for the manual method.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2017.07a
• /
• pp.368-371
• /
• 2017

본 논문에서는 GPS기반 가상펜스 시스템과 가상펜스 알고리즘에 대해서 이야기하고, GPS기반 가상펜스 시스템에서 가축의 이탈을 방지하기 위해 설정하는 영역인 경계영역을 설정하기 위한 알고리즘을 제안한다. 그리고 경계영역을 설정하기 위해 필요한 파라미터를 정의하는 실험을 진행하였으며, 속력이 빨라지면 정확도가 증가하는 GPS의 특성에 의해서 가상펜스 시스템에서 가상펜스 디바이스의 안전지역 이탈시 자극이 발생하는 시간이 빨라짐을 확인할 수 있었다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2012.11a
• /
• pp.482-485
• /
• 2012

본 논문은 평면 디스플레이 패널 외관 검사의 무인 자동화를 위한 전처리 단계의 알고리즘으로 패널 외관 검사 영역의 정합성 향상 및 자동 설정하는 알고리즘 기술에 관한 것이다. 평면디스플레이 패널의 제조 공정 중, 점등 검사 공정 단계에서는 Line 불량, Point 불량, 얼룩 불량, 외관 불량, Pol 불량 등 다양한 불량들을 검출한다. 이중 외관 불량 검사를 자동화하기 위한 전처리 단계로써 획득한 영상 내에서의 검사 영역을 설정함에 있어서 영상에서의 패널 위치의 변화, 패널의 Rotation/tilt, 패널 에지에 불량이 결부될 경우에도 실제 절단면을 정확하게 추출하여 불량 측정 오차를 최소화하는 알고리즘 을 제안한다.