• Title/Summary/Keyword: map recognition

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Study of Apparent Diffusion Coefficient Changes According to Spinal Disease in MR Diffusion-weighted Image

  • Heo, Yeong-Cheol;Cho, Jae-Hwan
    • Journal of Magnetics
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    • v.22 no.1
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    • pp.146-149
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    • 2017
  • In this study, we compared the standardized value of each signal intensity, the apparent diffusion coefficient (ADC) that digitizes the diffusion of water molecules, and the signal to noise ratio (SNR) using b value 0 400, 1400 ($s/mm^2$). From March 2013 to December 2013, patients with suspicion of simple compound fracture and metastatic spine cancer were included in the MR readout. We used a 1.5 Tesla Achieva MRI system and a Syn-Spine Coil. Sequence is a DWI SE-EPI sagittal (diffusion weighted imaging spin echo-echo planar imaging sagittal) image with b-factor ($s/mm^2$) 0, 400, 1400 were used. Data analysis showed ROI (Region of Interest) in diseased area with high SI (signal intensity) in diffusion-weighted image b value 0 ($s/mm^2$) Using the MRIcro program, each SI was calculated with images of b-value 0, 400, and 1400 ($s/mm^2$), ADC map was obtained using Metlab Software with each image of b-value, The ADC is obtained by applying the ROI to the same position. The standardized values ($SI_{400}/SI_0$, $SI_{400}/SI_0$) of simple compression fractures were $0.47{\pm}0.04$ and $0.23{\pm}0.03$ and the standardized values ($SI_{400}/SI_0$, $SI_{400}/SI_0$) of the metastatic spine were $0.57{\pm}0.07$ and $0.32{\pm}0.08$ And the standardized values of the two diseases were statistically significant (p < 0.05). The ADC ($mm^2/s$) for b value 400 ($s/mm^2$) and 1400 ($s/mm^2$) of the simple compression fracture disease site were $1.70{\pm}0.16$ and $0.93{\pm}0.28$ and $1.24{\pm}0.21$ and $0.80{\pm}0.15$ for the metastatic spine. The ADC ($mm^2/s$) for b value 400($s/mm^2$) was statistically significant (p < 0.05) but the ADC ($mm^2/s$) for b value 1400 (p > 0.05). In conclusion, multi - b value recognition of signal changes in diffusion - weighted imaging is very important for the diagnosis of various spinal diseases.

Successful Marriage Adaptation of Korean Husbands Who are Multicultural Families (다문화가정 한국인 남편의 성공적인 결혼적응)

  • Jeong, Hye-Won
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.337-356
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    • 2017
  • The purpose of the research is to explore the main cause and effect of successful marriage that Korean husbands, who are multicultural families had. To do the research, the experiment has been done with 7 husbands for 2 months. The 7 husbands took depths interview and analyzed the result by grounded theory approach. As a result, the husband experienced 'repentance of marriage' because of 'unready marriage', but 'Raising children', 'Helping housework' and 'recognition from friends and colleague' have affected the husbands to have a successful marriage adaptation. Based on the result, a political and practical proposal has been proposed to the Korean husbands who are multi-cultural family. Here are the examples of the proposal. As a social welfare policy, 'obligation of information offering for prospective spouse', 'following the Labor Standards and parental leave', 'expansion of visiting supervise system' and 'making guidance for husbands and distribute map of Immigration Office, Multicultural Family Support Center and Community Center' have proposed. And as an alternative plan for a practical social welfare policy and continuous social awareness improvement, 'various education program', 'a program with domestic married couple', 'a program with parents-in-law', 'a specific program to increase the housework participation for husbands' and necessity of development and practice of group program for husband have been emphasized.

Case Study of UML(Unified Modeling Language) Design for Web-based Forest Fire Hazard Index Presentation System (웹 기반 산불위험지수 표출시스템에서의 UML(Unified Modeling Language) 설계 사례)

  • Jo, Myung-Hee;Jo, Yun-Won;Ahn, Seung-Seup
    • Journal of the Korean Association of Geographic Information Studies
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    • v.5 no.1
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    • pp.58-68
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    • 2002
  • Recently as recognition to prevent nature disasters is reaching the climax, the most important job of government official is to provide information related to the prevention of nature disasters through the Web and to bring notice to prevent disaster under people. Especially, if the case of daily forest fire hazard index is provided within visualization on Web, people may have more chances to understand about forest fire and less damages by large scale of forest fire. Forest fire hazard index presentation system developed in this paper presents daily forest fire hazard index on map visually also provides the information related to it in text format. In order to develop this system, CBDP(Component Based Development Process) is proposed in this paper. This development process tries to emphasize the view of reusability so that it has lifecycle which starts from requirement and domain analysis and finishes to component generation. Moreover, The concept of this development process tries to reflect component based method, which becomes hot issue in software field nowadays. In the future, the component developed in this paper may be possibly reused in other Web GIS application, which has similar function to it so that it may take less cost and time to develop other similar system.

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Investigation on Potential Value for Maritime Cultural Heritage, Historical and Petrographic Characteristics of the Seosan Black Submerged Rocks (Geomenyeo) in Korea (서산 검은여의 역사적 및 암석기재적 특징과 해양유산적 잠재가치 검토)

  • Park, Jun Hyoung;Lee, Chan Hee
    • Journal of Conservation Science
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    • v.35 no.2
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    • pp.131-144
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    • 2019
  • The Seosan Geomenyeo(black submerged rocks), once located at the Cheonsuman bay of Buseokmyeon in Seosan, Korea, is a reef rock now exposed on the land surface. The Geomenyeo can also be found in the ancient geographic maps around the area. The local geographic names, like Buseok and Buseoksa temple are derived from the Geomenyeo. It is composed of ultramafic rocks complex and intrusive felsic igneous rocks. These rocks show diverse facies with various petrographic characteristics caused by geological processes such as intrusion and alteration. Ultramafic rocks complex can be roughly categorized as coarse grained ultramafic rocks and medium grained mafic rocks. Both cases are composed of pyroxene and amphibole, showing the general rock facies of pyroxenite, diabase and lamprophyre. Felsic igneous rocks includes pinkish medium grained granite, porphyritic amphibole granite and aplite with varied mineral compositions. The Geomenyeo is the only ultramafic rocks complex in the Cheonsuman Bay; moreover, it has a distinctive geological and scenic value, as well as a symbolic property. In order to preserve the Geomenyeo, it is necessary to investigate and promote it as a designated heritage site through academic studies, and compensate for the convenience and protection facilities. Additionally, the Geomenyeo should be evaluated as a maritime heritage site, due to the unique local culture as it succeeds the recognition of forefathers which regarded it as a local scenic site with significance.

Individual Ortho-rectification of Coast Guard Aerial Images for Oil Spill Monitoring (유출유 모니터링을 위한 해경 항공 영상의 개별정사보정)

  • Oh, Youngon;Bui, An Ngoc;Choi, Kyoungah;Lee, Impyeong
    • Korean Journal of Remote Sensing
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    • v.38 no.6_1
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    • pp.1479-1488
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    • 2022
  • Accidents in which oil spills occur intermittently in the ocean due to ship collisions and sinkings. In order to prepare prompt countermeasures when such an accident occurs, it is necessary to accurately identify the current status of spilled oil. To this end, the Coast Guard patrols the target area with a fixed-wing airplane or helicopter and checks it with the naked eye or video, but it was difficult to determine the area contaminated by the spilled oil and its exact location on the map. Accordingly, this study develops a technology for direct ortho-rectification by automatically geo-referencing aerial images collected by the Coast Guard without individual ground reference points to identify the current status of spilled oil. First, meta information required for georeferencing is extracted from a visualized screen of sensor information such as video by optical character recognition (OCR). Based on the extracted information, the external orientation parameters of the image are determined. Images are individually orthorectified using the determined the external orientation parameters. The accuracy of individual orthoimages generated through this method was evaluated to be about tens of meters up to 100 m. The accuracy level was reasonably acceptable considering the inherent errors of the position and attitude sensors, the inaccuracies in the internal orientation parameters such as camera focal length, without using no ground control points. It is judged to be an appropriate level for identifying the current status of spilled oil contaminated areas in the sea. In the future, if real-time transmission of images captured during flight becomes possible, individual orthoimages can be generated in real time through the proposed individual orthorectification technology. Based on this, it can be effectively used to quickly identify the current status of spilled oil contamination and establish countermeasures.

Development of Deep Learning Structure for Defective Pixel Detection of Next-Generation Smart LED Display Board using Imaging Device (영상장치를 이용한 차세대 스마트 LED 전광판의 불량픽셀 검출을 위한 딥러닝 구조 개발)

  • Sun-Gu Lee;Tae-Yoon Lee;Seung-Ho Lee
    • Journal of IKEEE
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    • v.27 no.3
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    • pp.345-349
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    • 2023
  • In this paper, we propose a study on the development of deep learning structure for defective pixel detection of next-generation smart LED display board using imaging device. In this research, a technique utilizing imaging devices and deep learning is introduced to automatically detect defects in outdoor LED billboards. Through this approach, the effective management of LED billboards and the resolution of various errors and issues are aimed. The research process consists of three stages. Firstly, the planarized image data of the billboard is processed through calibration to completely remove the background and undergo necessary preprocessing to generate a training dataset. Secondly, the generated dataset is employed to train an object recognition network. This network is composed of a Backbone and a Head. The Backbone employs CSP-Darknet to extract feature maps, while the Head utilizes extracted feature maps as the basis for object detection. Throughout this process, the network is adjusted to align the Confidence score and Intersection over Union (IoU) error, sustaining continuous learning. In the third stage, the created model is employed to automatically detect defective pixels on actual outdoor LED billboards. The proposed method, applied in this paper, yielded results from accredited measurement experiments that achieved 100% detection of defective pixels on real LED billboards. This confirms the improved efficiency in managing and maintaining LED billboards. Such research findings are anticipated to bring about a revolutionary advancement in the management of LED billboards.

A Study on Types and Characteristics of 'Cultural Landscapes' with Big Data Analysis: Focusing on the Case of Shinan-gun, Jeollanam-do (빅데이터 분석을 통한 '문화경관' 유형과 특성 연구: 전라남도 신안군 사례를 중심으로)

  • OH Jungshim
    • Korean Journal of Heritage: History & Science
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    • v.56 no.1
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    • pp.162-180
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    • 2023
  • The World Heritage Committee decided to make "cultural landscapes" a world heritage category in the 16th Session of the UNESCO General Conference. The decision was made from a recognition of the importance of interactions between human beings and the natural environment or between cultural heritage and natural heritage. Many countries have created policies and institutions to protect their own cultural landscapes along with the changing times. Korea, however, has not obviously defined the concepts and categories of its cultural landscapes, but manages policies and institutions based on the concept of a scenic spot, which has some similar meanings. In addition, it even borrows the "list of landscape adjectives," one of the representative methods for managing landscapes, from foreign countries. With this background, this paper suggested how to define cultural landscapes according to the global development flow. It created a list of cultural landscape adjectives by gathering the adjectives that can properly express local cultural landscapes in Korea. In particular, it collected 4,556 articles from a local newspaper by focusing on the case of Shinan-gun, Jeollanam-do, and analyzed key words and adjectives included in them by using big data analysis. The results suggested by this paper, such as the "classification table of cultural landscape types," "list of cultural landscape adjectives" and "network map of nouns/adjectives" can be applied to research on other localities, and furthermore, used as basic data for finding and protecting the characteristics of local cultural landscapes in Korea.

Research Trends and Problems on Cultivation Practice of Daesoonjinrihoe (대순진리회 수행 연구의 경향과 과제)

  • Cha, Seon-keun
    • Journal of the Daesoon Academy of Sciences
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    • v.24_1
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    • pp.315-349
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    • 2014
  • This paper was carried out to bring the researches on Cultivation Practice of Daesoonjinrihoe which have been at a standstill after analyzing the directions of studies on Cultivation Practice and diagnosing its problems, in addition to that, the paper was also conducted in a way of discussing the research directions in the future. This work enables scholars who have interests in Daesoon Thoughts to easily comprehend over the length and breadth of Cultivation Practice of Daesoonjinrihoe as well as help them understand what level of researches regarding Cultivation Practice has been demanded. Furthermore, this paper will be a step-stone for scholars to ponder how and on what perspective they approach a wide variety of studies on Daesoon Thoughts. The problems reflected on the previous researches on Cultivation Practice are summarized as follows: first, except a few researches in general, problem recognition, research target, style, method, and content are not diverged from the frame defined by Jang Byeong-Gil, who set it up in Daesoon Religion and Thought (Daesoon Jonggyo Sasang) in 1989. Proliferating overlapped researches without developing problem awareness is of great concern. And such researching climate has gradually set in. Secondly, there are numerous researches intending to reveal the researcher's forceful attitude implying faith. Thirdly, most of the previous researches neglect to focus on defining the range of researches. Fourthly, when defining concepts, more thorough insight is needed. Lastly, the researches on analysing symbols and attempting signification analysis are relatively few, only to find many errors. To solve these problems, this paper suggests to develop theories which back up Cultivation Practice by researching on the fields of theory of mind-nature(心性), theory of mind-qi(心氣), theory of pain, Religious Ethics, viewpoint of God/gods, and psychology. Secondly, all the symbols and meanings of elements shown in Cultivation Practice need analyzing more elaborately sophisticatedly and more in-depth. In order to fulfil this goal, by adapting the recent trends of historical studies, it is essential to attempt to engraft Cultivation Practice of Daesoonjinrihoe on cultural phenomena, to analyze thick layers of meanings beneath its surface, to interpret differently, utilizing various perspectives such as focusing on the gender problems, and to extract true meanings out of Cultivation Practice by analyzing everyday events which can occur in real cultivation practices. Thirdly, the terms and concepts regarding Cultivation Practice base the principle themselves. Fourthly, by utilizing methodology of comparative studies on religions, the comparative researches on cultivation practice of different religious traditions are also needed. Lastly, the history of aspects on Cultivation Practice such as transition of mantras, processes which have been conducted through proprieties of prayer and training should be collected and classified. In this context, this work is very important since it helps understand the aspects of transition of originality and characteristics in Cultivation Practice of Daesoonjinrihoe according to passage of time.

A Study on Automated Lineament Extraction with Respect to Spatial Resolution of Digital Elevation Model (수치표고모형 공간해상도에 따른 선구조 자동 추출 연구)

  • Park, Seo-Woo;Kim, Geon-Il;Shin, Jin-Ho;Hong, Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.34 no.3
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    • pp.439-450
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    • 2018
  • The lineament is a linear or curved terrain element to discriminate adjacent geological structures in each other. It has been widely used for analysis of geology, mineral exploration, natural disasters, and earthquake, etc. In the past, the lineament has been extracted using cartographic map or field survey. However, it is possible to extract more efficiently the lineament for a very wide area thanks to development of remote sensing technique. Remotely sensed observation by aircraft, satellite, or digital elevation model (DEM) has been used for visual recognition for manual lineament extraction. Automatic approaches using computer science have been proposed to extract lineament more objectively. In this study, we evaluate the characteristics of lineament which is automatically extracted with respect to difference of spatial resolution of DEM. We utilized two types of DEM: one is Shuttle Radar Topography Mission (SRTM) with spatial resolution of about 90 m (3 arc sec), and the other is the latest world DEM of TerraSAR-X add-on for Global DEM with 12 m spatial resolution. In addition, a global DEM was resampled to produce a DEM with a spatial resolution of 30 m (1 arc sec). The shaded relief map was constructed considering various sun elevation and solar azimuth angle. In order to extract lineament automatically, we used the LINE module in PCI Geomatica software. We found that predominant direction of the extracted lineament is about $N15-25^{\circ}E$ (NNE), regardless of spatial resolution of DEM. However, more fine and detailed lineament were extracted using higher spatial resolution of DEM. The result shows that the lineament density is proportional to the spatial resolution of DEM. Thus, the DEM with appropriate spatial resolution should be selected according to the purpose of the study.

Principal component analysis in C[11]-PIB imaging (주성분분석을 이용한 C[11]-PIB imaging 영상분석)

  • Kim, Nambeom;Shin, Gwi Soon;Ahn, Sung Min
    • The Korean Journal of Nuclear Medicine Technology
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    • v.19 no.1
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    • pp.12-16
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    • 2015
  • Purpose Principal component analysis (PCA) is a method often used in the neuroimagre analysis as a multivariate analysis technique for describing the structure of high dimensional correlation as the structure of lower dimensional space. PCA is a statistical procedure that uses an orthogonal transformation to convert a set of observations of correlated variables into a set of values of linearly independent variables called principal components. In this study, in order to investigate the usefulness of PCA in the brain PET image analysis, we tried to analyze C[11]-PIB PET image as a representative case. Materials and Methods Nineteen subjects were included in this study (normal = 9, AD/MCI = 10). For C[11]-PIB, PET scan were acquired for 20 min starting 40 min after intravenous injection of 9.6 MBq/kg C[11]-PIB. All emission recordings were acquired with the Biograph 6 Hi-Rez (Siemens-CTI, Knoxville, TN) in three-dimensional acquisition mode. Transmission map for attenuation-correction was acquired using the CT emission scans (130 kVp, 240 mA). Standardized uptake values (SUVs) of C[11]-PIB calculated from PET/CT. In normal subjects, 3T MRI T1-weighted images were obtained to create a C[11]-PIB template. Spatial normalization and smoothing were conducted as a pre-processing for PCA using SPM8 and PCA was conducted using Matlab2012b. Results Through the PCA, we obtained linearly uncorrelated independent principal component images. Principal component images obtained through the PCA can simplify the variation of whole C[11]-PIB images into several principal components including the variation of neocortex and white matter and the variation of deep brain structure such as pons. Conclusion PCA is useful to analyze and extract the main pattern of C[11]-PIB image. PCA, as a method of multivariate analysis, might be useful for pattern recognition of neuroimages such as FDG-PET or fMRI as well as C[11]-PIB image.

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