• 제목/요약/키워드: V-map

검색결과 288건 처리시간 0.025초

Analysis on the Regional Variation of the Rate of Inpatient Medical Costs in Local-Out: Geographically Weighted Regression Approach (지리적가중회귀분석을 이용한 관외입원진료비 비율의 지역 간 차이 분석)

  • Jo, Eun-Kyung;Lee, Kwang-Soo
    • The Korean Journal of Health Service Management
    • /
    • 제8권2호
    • /
    • pp.11-22
    • /
    • 2014
  • This study purposed to analyze the regional variation of the local-out rates of inpatient services. Multiple data sources collected from National Health Insurance Corporation and statistics Korea were merged to produce the analysis data set. The unit of analysis in this study was city, Gun, Gu, and all of them were included in analysis. The dependent variable measured the local-out rate of inpatient cost in study regions. Local environments were measured by variables in three dimensions: provider factors, socio-demographic factors, and health status. Along with the traditional ordinary least square (OLS) based regression model, geographically weighted regression (GWR) model were applied to test their effects. SPSS v21 and ArcMap v10.2 were applied for the statistical analysis. Results from OLS regression showed that most variables had significant relationships with the local-out rate of inpatient services. However, some variables had shown diverse directions in regression coefficients depending on regions in GWR. This implied that the study variables might not have consistent effects and they may varied depending the locations.

Up-Regulation of RANK Expression via ERK1/2 by Insulin Contributes to the Enhancement of Osteoclast Differentiation

  • Oh, Ju Hee;Lee, Na Kyung
    • Molecules and Cells
    • /
    • 제40권5호
    • /
    • pp.371-377
    • /
    • 2017
  • Despite the importance of the receptor activator of nuclear factor (NF)-kappaB ligand (RANKL)-RANK signaling mechanisms on osteoclast differentiation, little has been studied on how RANK expression is regulated or what regulates its expression during osteoclastogenesis. We show here that insulin signaling increases RANK expression, thus enhancing osteoclast differentiation by RANKL. Insulin stimulation induced RANK gene expression in time- and dose-dependent manners and insulin receptor shRNA completely abolished RANK expression induced by insulin in bone marrow-derived monocyte/macrophage cells (BMMs). Moreover, the addition of insulin in the presence of RANKL promoted RANK expression. The ability of insulin to regulate RANK expression depends on extracellular signal-regulated kinase 1/2 (ERK1/2) since only PD98059, an ERK1/2 inhibitor, specifically inhibited its expression by insulin. However, the RANK expression by RANKL was blocked by all three mitogen-activated protein (MAP) kinases inhibitors. The activation of RANK increased differentiation of BMMs into tartrate-resistant acid phosphatase-positive ($TRAP^+$) osteoclasts as well as the expression of dendritic cell-specific transmembrane protein (DC-STAMP) and d2 isoform of vacuolar ($H^+$) ATPase (v-ATPase) Vo domain (Atp6v0d2), genes critical for osteoclastic cell-cell fusion. Collectively, these results suggest that insulin induces RANK expression via ERK1/2, which contributes to the enhancement of osteoclast differentiation.

A method based on Multi-Convolution layers Joint and Generative Adversarial Networks for Vehicle Detection

  • Han, Guang;Su, Jinpeng;Zhang, Chengwei
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제13권4호
    • /
    • pp.1795-1811
    • /
    • 2019
  • In order to achieve rapid and accurate detection of vehicle objects in complex traffic conditions, we propose a novel vehicle detection method. Firstly, more contextual and small-object vehicle information can be obtained by our Joint Feature Network (JFN). Secondly, our Evolved Region Proposal Network (EPRN) generates initial anchor boxes by adding an improved version of the region proposal network in this network, and at the same time filters out a large number of false vehicle boxes by soft-Non Maximum Suppression (NMS). Then, our Mask Network (MaskN) generates an example that includes the vehicle occlusion, the generator and discriminator can learn from each other in order to further improve the vehicle object detection capability. Finally, these candidate vehicle detection boxes are optimized to obtain the final vehicle detection boxes by the Fine-Tuning Network(FTN). Through the evaluation experiment on the DETRAC benchmark dataset, we find that in terms of mAP, our method exceeds Faster-RCNN by 11.15%, YOLO by 11.88%, and EB by 1.64%. Besides, our algorithm also has achieved top2 comaring with MS-CNN, YOLO-v3, RefineNet, RetinaNet, Faster-rcnn, DSSD and YOLO-v2 of vehicle category in KITTI dataset.

2D Interpolation 3D Point Cloud using Video-based Point Cloud Compression (비디오 기반 포인트 클라우드 압축을 사용한 차원 포인트 클라우드의 차원 보간 방안)

  • Hwang, Yonghae;Kim, Junsik;Kim, Kyuheon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
    • /
    • 한국방송∙미디어공학회 2021년도 하계학술대회
    • /
    • pp.147-150
    • /
    • 2021
  • 최근 컴퓨터 그래픽 기술이 발전함에 따라 가상으로 만들어낸 객체와 현실 객체 사이의 분간이 어려워지고 있으며, AR/VR/XR 등의 서비스를 위해 현실 객체를 컴퓨터 그래픽으로 표현하는 기술의 연구가 활발히 진행되고 있다. 포인트 클라우드는 현실 객체를 표현하는 기술 중의 하나로 객체의 표면을 수많은 3차원의 점으로 표현하며, 2차원 영상보다 더욱 거대한 데이터 크기를 가지게 된다. 이를 다양한 서비스에 응용하기 위해서는 3차원 데이터의 특징에 맞는 고효율의 압축 기술이 필요하며, 국제표준기구인 MPEG에서는 연속적인 움직임을 가지는 동적 포인트 클라우드를 2차원 평면으로 투영하여 비디오 코덱을 사용해 압축하는 Video-based Point Cloud Compression (V-PCC) 기술이 연구되고 있다. 포인트 클라우드를 2차원 평면에 투영하는 방식은 점유 맵 (Occupancy Map), 기하 영상 (Geometry Image), 속성 영상 (Attribute Image) 등의 2차원 정보와 보조 정보를 사용해 압축을 진행하고, 부호화 과정에서는 보조 정보와 2차원 영상들의 정보를 사용해 3차원 포인트 클라우드를 재구성한다. 2차원 영상을 사용해 포인트 클라우드를 생성하는 특징 때문에 압축 과정에서 발생하는 영상 정보의 열화는 포인트 클라우드의 품질에 영향을 미친다. 이와 마찬가지로 추가적인 기술을 사용한 2차원 영상 정보의 향상으로 포인트 클라우드의 품질을 향상할 수 있을 것으로 예상된다. 이에 본 논문은 V-PCC 기술에서 생성되는 영상 정보에 2차원 보간 (Interpolation) 기술을 적용하여 기존의 영상 정보에 포함되지 않은 추가적인 포인트를 생성하는 것으로 재구성되는 포인트 클라우드의 밀도를 증가시키고 그 영향을 분석하고자 한다.

  • PDF

Purification, crystallization and X-ray diffraction of heparan sulfate bounded human RAGE

  • Park, Jun bae;Yoo, Youngki;Ong, Belinda Xiang Yu;Kim, Juyeon;Cho, Hyun-Soo
    • Biodesign
    • /
    • 제5권3호
    • /
    • pp.122-125
    • /
    • 2017
  • Receptor for advanced glycation end products (RAGE) is one of the single transmembrane domain containing receptors and causes various inflammatory diseases including diabetes and atherosclerosis. RAGE extracellular domain has three consecutive IgG-like domains (V-C1-C2 domain) which interact with various soluble ligands including heparan sulfate or HMGB1. Studies have shown that each ligand induces different oligomeric forms of RAGE which results in a ligand-specific signal transduction. The structure of mouse RAGE bound to heparan sulfate has been previously determined but the electron density map of heparan sulfate was too ambiguous that the exact position of heparin sulfate could not be defined. Furthermore, the complex structure of human RAGE and heparin sulfate still remains elusive. Therefore, to determine the structure, human RAGE was overexpressed using bacterial expression system and crystallized using the sitting drop method in the condition of 0.1 M sodium acetate trihydrate pH 4.6, 8 % (w/v) polyethylene glycol 4,000 at 290 K. The crystal diffracted to 3.6 Å resolution and the space group is C121 with unit cell parameters a= 206.04 Å, b= 68.64 Å, c= 98.73 Å, α= 90.00°, β= 90.62°, γ= 90.00°.

Assessment and Improvement of Snow Load Codes and Standards in Korea (한국의 적설하중 기준에 대한 평가 및 개선방안)

  • Yu, Insang;Kim, Hayong;Necesito, Imee V.;Jeong, Sangman
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • 제34권5호
    • /
    • pp.1421-1433
    • /
    • 2014
  • In this study, appropriate probability distribution and parameter estimation method were selected to perform snowfall frequency analysis. Generalized Extreme Value (GEV) and Probability Weighted Moment Method (PWMM) appeared to be the best fit for snowfall frequency analysis in Korea. Snowfall frequency analysis applying GEV and PWMM were performed for 69 stations in Korea. Peak snowfall corresponding to recurrence intervals were estimated based on frequency analysis while snow loads were calculated using the estimated peak snowfall and specific weight of snow. Design snow load map was developed using 100-year recurrence interval snow load of 69 stations through Kriging of ArcGIS. The 2009 Korean Building Code and Commentary for design snow load was assessed by comparing the design snow loads which calculated in this study. As reflected in the results, most regions are required to increase the design snow loads. Thus, design snow loads and the map were developed from based on the results. The developed design snow load map is expected to be useful in the design of building structures against heavy snow loading throughout Korea most especially in ungaged areas.

Stereo Vision-Based Obstacle Detection and Vehicle Verification Methods Using U-Disparity Map and Bird's-Eye View Mapping (U-시차맵과 조감도를 이용한 스테레오 비전 기반의 장애물체 검출 및 차량 검증 방법)

  • Lee, Chung-Hee;Lim, Young-Chul;Kwon, Soon;Lee, Jong-Hun
    • Journal of the Institute of Electronics Engineers of Korea SC
    • /
    • 제47권6호
    • /
    • pp.86-96
    • /
    • 2010
  • In this paper, we propose stereo vision-based obstacle detection and vehicle verification methods using U-disparity map and bird's-eye view mapping. First, we extract a road feature using maximum frequent values in each row and column. And we extract obstacle areas on the road using the extracted road feature. To extract obstacle areas exactly we utilize U-disparity map. We can extract obstacle areas exactly on the U-disparity map using threshold value which consists of disparity value and camera parameter. But there are still multiple obstacles in the extracted obstacle areas. Thus, we perform another processing, namely segmentation. We convert the extracted obstacle areas into a bird's-eye view using camera modeling and parameters. We can segment obstacle areas on the bird's-eye view robustly because obstacles are represented on it according to ranges. Finally, we verify the obstacles whether those are vehicles or not using various vehicle features, namely road contacting, constant horizontal length, aspect ratio and texture information. We conduct experiments to prove the performance of our proposed algorithms in real traffic situations.

A block-based face detection algorithm for the efficient video coding of a videophone (효율적인 화상회의 동영상 압축을 위한 블록기반 얼굴 검출 방식)

  • Kim, Ki-Ju;Bang, Kyoung-Gu;Moon, Jeong-Mee;Kim, Jae-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • 제29권9C호
    • /
    • pp.1258-1268
    • /
    • 2004
  • We propose a new fast, algorithm which is used for detecting frontal face in the frequency domain based on human skin-color using OCT coefficient of dynamic image compression and skin color information. The region where each pixel has a value of skin-color were extracted from U and V value based on DCT coefficient obtained in the process of Image compression using skin-color map in the Y, U, V color space A morphological filter and labeling method are used to eliminate noise in the resulting image We propose the algorithm to detect fastly human face that estimate the directional feature and variance of luminance block of human skin-color Then Extraction of face was completed adaptively on both background have the object analogous to skin-color and background is simple in the proposed algorithm The performance of face detection algorithm is illustrated by some simulation results earned out on various races We confined that a success rate of 94 % was achieved from the experimental results.

Finding Self-intersections of a Triangular Mesh by Using Visibility Maps (가시 정보를 이용한 삼각망의 꼬임 찾기)

  • Park S. C.
    • Korean Journal of Computational Design and Engineering
    • /
    • 제9권4호
    • /
    • pp.382-386
    • /
    • 2004
  • This paper presents an algorithm for the triangular mesh intersection problem. The key aspect of the proposed algorithm is to reduce the number of triangle pairs to be checked for intersection. To this end, it employs two different approaches, the Y-group approach and the space partitioning approach. Even though both approaches have the same objective of reducing the number of triangular-triangular intersection (TTI) pairs, their inherent characteristics are quite different. While the V-group approach works by topology (reduces TTI pairs by guaranteeing no intersection among adjacent triangles), the space partitioning approach works by geometry (reduces TTI pairs by guaranteeing no intersection among distant triangles). The complementary nature of the two approaches brings substantial improvement in reducing the number TTI pairs.

Review of Vascular Endothelial Growth Factor (혈관내피성장인자에 관한 고찰)

  • Kim, Souk-Boum;Kim, Dong-Hyun;Song, Ju-Young;Kim, Jin-Sang
    • The Journal of Korean Physical Therapy
    • /
    • 제14권1호
    • /
    • pp.219-226
    • /
    • 2002
  • Vascular endothelial growth factors(VEGFs) constitute a group of structurally and functionally related growth factor that modulate many important physiological functions of endothelial cells, especially angiogenesis. This paper explain substance, which participate in signaling transduction of VEGF, including Bcl-2, caspase, focal adhesion kinase(FAK), integrin ${\alpha}v{\beta}3$, MAP kinase, nitric oxide(NO)and prostacyclin(PGI2). Physical therapy enhance angiogenesis for repairment of injury which as wound healing, muscle contusion, cerebrovascular disease, rheumatoid arthritis. Therefore this review assist understanding for mechanism of physical therapy as therapeutic angiogenesis.

  • PDF