• Title/Summary/Keyword: Accurate Spatial Information

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Intelligent LoRa-Based Positioning System

  • Chen, Jiann-Liang;Chen, Hsin-Yun;Ma, Yi-Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.9
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    • pp.2961-2975
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    • 2022
  • The Location-Based Service (LBS) is one of the most well-known services on the Internet. Positioning is the primary association with LBS services. This study proposes an intelligent LoRa-based positioning system, called AI@LBS, to provide accurate location data. The fingerprint mechanism with the clustering algorithm in unsupervised learning filters out signal noise and improves computing stability and accuracy. In this study, data noise is filtered using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, increasing the positioning accuracy from 95.37% to 97.38%. The problem of data imbalance is addressed using the SMOTE (Synthetic Minority Over-sampling Technique) technique, increasing the positioning accuracy from 97.38% to 99.17%. A field test in the NTUST campus (www.ntust.edu.tw) revealed that AI@LBS system can reduce average distance error to 0.48m.

Classification of Mouse Lung Metastatic Tumor with Deep Learning

  • Lee, Ha Neul;Seo, Hong-Deok;Kim, Eui-Myoung;Han, Beom Seok;Kang, Jin Seok
    • Biomolecules & Therapeutics
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    • v.30 no.2
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    • pp.179-183
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    • 2022
  • Traditionally, pathologists microscopically examine tissue sections to detect pathological lesions; the many slides that must be evaluated impose severe work burdens. Also, diagnostic accuracy varies by pathologist training and experience; better diagnostic tools are required. Given the rapid development of computer vision, automated deep learning is now used to classify microscopic images, including medical images. Here, we used a Inception-v3 deep learning model to detect mouse lung metastatic tumors via whole slide imaging (WSI); we cropped the images to 151 by 151 pixels. The images were divided into training (53.8%) and test (46.2%) sets (21,017 and 18,016 images, respectively). When images from lung tissue containing tumor tissues were evaluated, the model accuracy was 98.76%. When images from normal lung tissue were evaluated, the model accuracy ("no tumor") was 99.87%. Thus, the deep learning model distinguished metastatic lesions from normal lung tissue. Our approach will allow the rapid and accurate analysis of various tissues.

A Study on the Construction of 3D Database and Application for Realization of "The Cyber City" ("사이버" 도시 실현을 위한 3차원 공간 데이터베이스 구축과 활용)

  • 김재윤
    • Spatial Information Research
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    • v.9 no.2
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    • pp.325-340
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    • 2001
  • This research is to construct more useful Geo-spatial data by building spatial data to three dimensional and utilize the database effectively for development of application, maintenance and management program, and application technology, which is on going based on “Haeundae three dimensional database construction project”. Furthermore, the acquisition of geographic information data and the technological improvement of effective construction would be the important factors to judge the qualitative reputation of GIS. Above all, studies to create accurate data and overcome the error limitation are much more important than any other thing. Final form of Spatial Data to materialize efficient GIS(Geographic Information System) must be three dimensional spatial data which has attribute data, actual concept and numerical value of real world. In connection to that, development is on the move to improve building technique of useful spatial data and digitalize the entire country in cryberspace. $\ulcorner the cyber country lrcorner$is designed to mange the entire country systematically. This simulation would be able to cover administration of government institution, public service, corporate business and even the public life in the cyeberspace though the computer. Materialization of efficient GIS and establishment of condition as technically strong nation through the early realization of $\ulcorner the cyber country lrcorner$will provide a great opportunity to open up the global market with exportation of advanced technology.

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Mobile Underground High-capacity 3D Spatial Information Tiling Transfer Protocol Development (모바일 지하 대용량 3D 공간정보 타일링 전송 프로토콜 개발)

  • Lee, Tae Hyung;Jo, Won Je;Kim, Hyun Woo
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.6
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    • pp.491-496
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    • 2021
  • In line with the modern era in which the safety of underground facilities and the use of underground information are increasingly emphasized, the state is pushing for more precise and accurate underground spatial information to be secured and utilized. Therefore, we need to pay more attention to subsurface geospatial data. In the future, the Ministry of Land, Infrastructure and Transport will actively utilize the 15 types of Integrated Underground Geospatial Information Map(6 types of underground facilities, 6 types of underground structures, 3 types of ground) that the Ministry of Land, Infrastructure and Transport is building as three-dimensional underground spatial information, and contribute greatly to improving national safety and convenience in underground construction. expected to do However, when a site manager requests an Integrated Underground Geospatial Information Map with a mobile device, if the large-capacity integrated underground space map is not quickly transmitted over the wireless section and is not serviced, it causes inconvenience to the site manager and delays work. In this paper, the goal of this paper is to enable field managers to quickly receive a tiled Integrated Underground Geospatial Information Map with minimal information exchange. Therefore, the tiling system is configured according to the dataset for high-speed Mobile Integrated Underground Geospatial Information Map transmission. In addition, a transmission system for the Mobile Integrated Underground Geospatial Information Map is established, and a TCP/IP (Transmission Control Protocol/Internet Protocol)-based spatial information tiling transmission protocol dedicated to the on-site Integrated Underground Geospatial Information Map is developed.

Estimation of Topographic Factor of Wind Speed Using Geographic Information (지리정보를 이용한 풍속지형계수 산정)

  • Seong, Min-Ho;Park, Kyung-Sik;Choi, Se-Hyu
    • Spatial Information Research
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    • v.18 no.3
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    • pp.13-22
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    • 2010
  • Due to the frequent gales and typhoons by anomaly climates and its subsequent loss of life and property, the importance of the research estimating wind load is being emphasized when structure is designed. It is necessary to measure geographical information exactly to estimate topographic factor of wind speed because the increase of topographic factor of wind speed means the increase of wind velocity and the increase of wind velocity has an influence on wind load proportionate to a square. Therefore, the accurate and reasonable estimation method of topographic factor of wind speed is presented in this study using ArchiCAD, an architectural BIM(Building Information Modeling) software. When the structure subjected to wind load is designed, reasonability and economic performance of design will be more improved by using the proposed method.

Temporal and Spatial Wind Information Production and Correction Algorithm Development by Land Cover Type over the Republic of Korea (한반도 시공간적 바람정보 생산과 토지피복별 보정 알고리즘 개발)

  • Kim, Do Yong;Han, Kyung Soo
    • Journal of Korean Society for Geospatial Information Science
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    • v.20 no.3
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    • pp.19-27
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    • 2012
  • Wind is an important variable for various scientific communities such as meteorology, climatology, and renewable energy. In this study, numerical simulations using WRF mesoscale model were performed to produce temporal and spatial wind information over the Republic of Korea during 2006. Although the spatial features and monthly variations of the near-surface wind speed were well simulated in the model, the simulated results overestimated the observed values as a whole. To correct these simulated wind speeds, a regression-based statistical algorithm with different constants and coefficients by land cover type was developed using the satellite-derived LST and NDWI. The corrected wind speeds for the algorithm validation showed strong correlation and close agreement with the observed values for each land cover type, with nearly zero mean bias and less than 0.4 m/s RMSE. Therefore, the proposed algorithm using remotely sensed surface observations may be useful for correcting simulated near-surface wind speeds and producing more accurate wind information over the Republic of Korea.

Motion Correction in PET/CT Images (PET/CT 영상 움직임 보정)

  • Woo, Sang-Keun;Cheon, Gi-Jeong
    • Nuclear Medicine and Molecular Imaging
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    • v.42 no.2
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    • pp.172-180
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    • 2008
  • PET/CT fused image with anatomical and functional information have improved medical diagnosis and interpretation. This fusion has resulted in more precise localization and characterization of sites of radio-tracer uptake. However, a motion during whole-body imaging has been recognized as a source of image quality degradation and reduced the quantitative accuracy of PET/CT study. The respiratory motion problem is more challenging in combined PET/CT imaging. In combined PET/CT, CT is used to localize tumors and to correct for attenuation in the PET images. An accurate spatial registration of PET and CT image sets is a prerequisite for accurate diagnosis and SUV measurement. Correcting for the spatial mismatch caused by motion represents a particular challenge for the requisite registration accuracy as a result of differences in PET/CT image. This paper provides a brief summary of the materials and methods involved in multiple investigations of the correction for respiratory motion in PET/CT imaging, with the goal of improving image quality and quantitative accuracy.

Graph-based Moving Object Detection and Tracking in an H.264/SVC bitstream domain for Video Surveillance (감시 비디오를 위한 H.264/SVC 비트스트림 영역에서의 그래프 기반 움직임 객체 검출 및 추적)

  • Sabirin, Houari;Kim, Munchurl
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2012.07a
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    • pp.298-301
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    • 2012
  • This paper presents a graph-based method of detecting and tracking moving objects in H.264/SVC bitstreams for video surveillance applications that makes use the information from spatial base and enhancement layers of the bitstreams. In the base layer, segmentation of real moving objects are first performed using a spatio-temporal graph by removing false detected objects via graph pruning and graph projection, followed by graph matching to precisely identify the real moving objects over time even under occlusion. For the accurate detection and reliable tracking of moving objects in the enhancement layer, as well as saving computational complexity, the identified block groups of the real moving objects in the base layer are then mapped to the enhancement layer to provide accurate and efficient object detection and tracking in the bitstreams of higher resolution. Experimental results show the proposed method can produce reliable results with low computational complexity in both spatial layers of H.264/SVC test bitstreams.

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Spatiotemporal Visualization of Unit Price Data of Highway Projects

  • Jain, Deepanshi;Shrestha, K. Joseph;Jeong, H. David
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.77-81
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    • 2015
  • The unit price contracting is the standard contracting method for highway projects in the U.S. As a result, state highway agencies have collected a large amount of historical bid data that they can use to determine engineer's estimates for future projects. The estimator must carefully consider various characteristics of a new project such as its location to determine an engineer's estimate as accurate as possible before bid letting. Higher cost estimates can result in the loss of the available budget and lower cost estimates may lead to deferral and delay of projects. The study uses the historical bid data obtained from Iowa Department of Transportation and develops a Geographic Information System (GIS) tool to visually show the variation of unit prices over the map using a spatial interpolation technique. The interpolation map can be used to estimate the unit price of the item at any location across Iowa. This noble method allows the estimator to effectively and fully utilize the historical bid data in a very time efficient manner and determine more accurate cost estimation.

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Evaluation of Spatial Characteristic of Wind Corridor Formation in Daegu Area using Satellite Data (위성자료를 활용한 대구지역 바람길생성의 공간적 특성평가)

  • Jung, Eung-Ho;Kim, Dae-Wuk;Ryu, Ji-Won;Cha, Jae-Gyu;Son, Kyung-Su
    • Journal of the Korean Association of Geographic Information Studies
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    • v.11 no.2
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    • pp.73-84
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    • 2008
  • This study has conducted the survey Daegu area on the evaluation of the wind generation by the spatial geograph conditions and according to the elements that practically affecting the generation of the wind. Because the elements affecting the wind generation are very diverse and interrelated, it is very important to secure accurate fundamental datas. For getting these datas, by applying satellite images to the study, more accurate datas were collected and the result of study is summarized as follows First of all, it has been acknowledged that due to the Daegu,s geographic features, there are a lot of areas with high wind generation, but most of these areas have been distributed in the outskirts of the city, where as in the areas wind generation is relatively very low in the urbanized areas, which indicate that the spatial unbalance is very high. And what is more of wind generation in certain areas where places spatially connected to the urbane district, show very low wind generations, and its influenced range become limited. From this fact, it can be estimated that the effects of the wind corridor coming into the urban district will be reduced. And also through this study, it could be verified that there are ample possibility of applying the satellite data as a means of building up the spatial data for evaluation of formation of the wind corridor.

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