• Title, Summary, Keyword: 영상처리

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Analysis of Satisfaction and Problems of Clinic Radiological Technologist on the Supplementary Education (보수교육에 대한 의원방사선사의 만족도와 문제점 분석)

  • Jeong, Bong-Jae;Park, Jun-Hong;Song, Jae-Heung;Noh, Si-Cheol
    • Journal of the Korean Society of Radiology
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    • v.12 no.7
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    • pp.861-868
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    • 2018
  • As the research about supplementary education of radiological technologist who works in medical clinics, this study was conducted to draw the improvements by analyzing the satisfaction level and problems of the supplementary education. During November 01, 2016 to April 30, 2017, after we distributed a total of 150 questionnaires for the survey to radiological technologists working at medical clinics located in Changwon-si, Gyoungsangnam province, 106 questionnaires suitable for research were analysis by using SPSS 18.0 statistical analysis software. As the sociodemographic characteristics, the age, gender, working period, level of education, and working department were used. And As the welfare factors, working environment, financial support, educational opportunity, medical support, working culture, etc. were used. As the satisfaction factors, 21 items such as system, subject, help, appropriateness of lecturer selection, professionalism were used. And as the problem factors, 18 items such as place, transportation, diversity, administrative treatment, education promotion, proceed method were used. Consequentially, the satisfaction level(3.02 point) of the supplementary education were confirmed as normal level. And the problems(3.18 point) of the supplementary education was analyzed a little higher. The supplementary education is the mandatory education that any health and medical service personnel must complete every three years for license re-issuance. There were many opinions that the supplementary education for radiologists working in various medical institutions did not meet the education level of radiologists working in the medical clinics. In order to improve the satisfaction of the supplementary education of medical clinic's radiological technologist, it should be improved the quality of education through a practical education program that reflects various opinions and improvements on conservative education.

Interactivity within large-scale brain network recruited for retrieval of temporally organized events (시간적 일화기억인출에 관여하는 뇌기능연결성 연구)

  • Nah, Yoonjin;Lee, Jonghyun;Han, Sanghoon
    • Korean Journal of Cognitive Science
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    • v.29 no.3
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    • pp.161-192
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    • 2018
  • Retrieving temporal information of encoded events is one of the core control processes in episodic memory. Despite much prior neuroimaging research on episodic retrieval, little is known about how large-scale connectivity patterns are involved in the retrieval of sequentially organized episodes. Task-related functional connectivity multivariate pattern analysis was used to distinguish the different sequential retrieval. In this study, participants performed temporal episodic memory tasks in which they were required to retrieve the encoded items in either the forward or backward direction. While separately parsed local networks did not yield substantial efficiency in classification performance, the large-scale patterns of interactivity across the cortical and sub-cortical brain regions implicated in both the cognitive control of memory and goal-directed cognitive processes encompassing lateral and medial prefrontal regions, inferior parietal lobules, middle temporal gyrus, and caudate yielded high discriminative power in classification of temporal retrieval processes. These findings demonstrate that mnemonic control processes across cortical and subcortical regions are recruited to re-experience temporally-linked series of memoranda in episodic memory and are mirrored in the qualitatively distinct global network patterns of functional connectivity.

Design and Implementation of OpenCV-based Inventory Management System to build Small and Medium Enterprise Smart Factory (중소기업 스마트공장 구축을 위한 OpenCV 기반 재고관리 시스템의 설계 및 구현)

  • Jang, Su-Hwan;Jeong, Jopil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.1
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    • pp.161-170
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    • 2019
  • Multi-product mass production small and medium enterprise factories have a wide variety of products and a large number of products, wasting manpower and expenses for inventory management. In addition, there is no way to check the status of inventory in real time, and it is suffering economic damage due to excess inventory and shortage of stock. There are many ways to build a real-time data collection environment, but most of them are difficult to afford for small and medium-sized companies. Therefore, smart factories of small and medium enterprises are faced with difficult reality and it is hard to find appropriate countermeasures. In this paper, we implemented the contents of extension of existing inventory management method through character extraction on label with barcode and QR code, which are widely adopted as current product management technology, and evaluated the effect. Technically, through preprocessing using OpenCV for automatic recognition and classification of stock labels and barcodes, which is a method for managing input and output of existing products through computer image processing, and OCR (Optical Character Recognition) function of Google vision API. And it is designed to recognize the barcode through Zbar. We propose a method to manage inventory by real-time image recognition through Raspberry Pi without using expensive equipment.

Development of Linking & Management System for High-Resolution Raw Geo-spatial Data based on the Point Cloud DB (Point Cloud 기반의 고해상도 원시데이터 연계 및 관리시스템 개발)

  • KIM, Jae-Hak;LEE, Dong-Ha
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.4
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    • pp.132-144
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    • 2018
  • 3D Geo-spatial information models have been widely used in the field of Civil Engineering, Medical, Computer Graphics, Urban Management and many other. Especially, in surveying and geo-spatial field, the demand for high quality 3D geospatial information and indoor spatial information is so highly increasing. However, it is so difficult to provide a low-cost and high efficiency service to the field which demand the highest quality of 3D model, because pre-constructed spatial data are composed of different formats and storage structures according to the application purpose of each institutes. In fact, the techniques to construct a high applicable 3D geo-spatial model is very expensive to collect and analyze geo-spatial data, but most demanders of 3D geo-spatial model never want to pay the high-cost to that. This study, therefore, suggest the effective way to construct 3D geo-spatial model with low-cost of construction. In general, the effective way to reduce the cost of constructing 3D geo-spatial model as presented in previous studies is to combine the raw data obtained from point cloud observatory and UAV imagery, however this method has some limitation of usage from difficulties to approve the use of raw data because of those have been managed separately by various institutes. To solve this problem, we developed the linking & management system for unifying a high-Resolution raw geo-spatial data based on the point cloud DB and apply this system to extract the basic database from 3D geo-spatial mode for the road database registration. As a result of this study, it can be provided six contents of main entries for road registration by applying the developed system based on the point cloud DB.

A Study on Immersive Interaction Between HMD User and Non-HMD User for Presence of Asymmetric Virtual Reality (비대칭 가상현실에서의 현존감을 위한 HMD 사용자와 Non-HMD 사용자간 몰입형 상호작용에 관한 연구)

  • Lee, Jiwon;Kim, Mingyu;Kim, Jinmo
    • Journal of the Korea Computer Graphics Society
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    • v.24 no.3
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    • pp.1-10
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    • 2018
  • This study proposes an immersive interaction optimized for the user's experience environment to provide an improved presence for both HMD and Non-HMD users in the asymmetric virtual reality (VR) environment. The core of the proposed immersive interaction is to distinguish the differences of the asymmetric environment between the HMD and Non-HMD users and present the optimized interaction to the user. And, in order to increase the presence by providing improved immersion in the asymmetric virtual reality environment given to each user, we design the walking interaction to improve the immersion of space for the HMD users, a hand-based interface that improves immersion by fully understanding and managing the situation through direct control. Finally, through the experiment using questionnaire, it is verified that the immersive interaction provides all users with an enhanced presence and specialized experience in each environment experience. Through these processes, we confirmed that the Non-HMD user can be immersed in an asymmetric virtual reality using by proposed interaction as participant rather than assistant with HMD user.

Resting-State Electroencephalography (EEG) Functional Connectivity Analysis (안정기 뇌파를 이용한 기능적 연결성 분석)

  • Kim, Hunmin;Hwang, Hee
    • Journal of the Korean Child Neurology Society
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    • v.26 no.3
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    • pp.129-134
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    • 2018
  • Advances in network science and computer engineering have enabled brain connectivity analysis using clinical big data such as brain magnetic resonance imaging (MRI), electroencephalography (EEG), or magnetoencephalography (MEG). Resting-state functional connectivity analysis aims to reveal the characteristics of functional brain network in various diseases and normal brain maturation using resting-state EEG. Simplified sequence of resting-state functional connectivity analysis methods will be reviewed in this article. The outcomes from EEG resting-state connectivity analysis are comprised of connectivity itself of the specific condition and the network topology measure which describe the characteristics of specific connectivity. An increasing number of studies report the differences in the functional connection itself, global network measures including segregation (connectedness), integration (efficiency), and importance of specific nodes (centrality or node degree). Several issues that are relevant in the resting-state connectivity analysis are obtaining good quality EEG for analysis, consideration of particular features of EEG signal, understanding different types of association measures, and statistics for comparison of connectivities. Well-designed and carefully analyzed EEG resting-state connectivity analysis can provide useful information for patient care in pediatric neurology.

Development of Landslide Detection Algorithm Using Fully Polarimetric ALOS-2 SAR Data (Fully-Polarimetric ALOS-2 자료를 이용한 산사태 탐지 알고리즘 개발)

  • Kim, Minhwa;Cho, KeunHoo;Park, Sang-Eun;Cho, Jae-Hyoung;Moon, Hyoi;Han, Seung-hoon
    • Economic and Environmental Geology
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    • v.52 no.4
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    • pp.313-322
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    • 2019
  • SAR (Synthetic Aperture Radar) remote sensing data is a very useful tool for near-real-time identification of landslide affected areas that can occur over a large area due to heavy rains or typhoons. This study aims to develop an effective algorithm for automatically delineating landslide areas from the polarimetric SAR data acquired after the landslide event. To detect landslides from SAR observations, reduction of the speckle effects in the estimation of polarimetric SAR parameters and the orthorectification of geometric distortions on sloping terrain are essential processing steps. Based on the experimental analysis, it was found that the IDAN filter can provide a better estimation of the polarimetric parameters. In addition, it was appropriate to apply orthorectification process after estimating polarimetric parameters in the slant range domain. Furthermore, it was found that the polarimetric entropy is the most appropriate parameters among various polarimetric parameters. Based on those analyses, we proposed an automatic landslide detection algorithm using the histogram thresholding of the polarimetric parameters with the aid of terrain slope information. The landslide detection algorithm was applied to the ALOS-2 PALSAR-2 data which observed landslide areas in Japan triggered by Typhoon in September 2011. Experimental results showed that the landslide areas were successfully identified by using the proposed algorithm with a detection rate of about 82% and a false alarm rate of about 3%.

Region Selective Transmission Method of MMT based 3D Point Cloud Content (MMT 기반 3차원 포인트 클라우드 콘텐츠의 영역 선별적 전송 방안)

  • Kim, Doohwan;Kim, Junsik;Kim, Kyuheon
    • Journal of Broadcast Engineering
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    • v.25 no.1
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    • pp.25-35
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    • 2020
  • Recently, the development of image processing technology, as well as hardware performance, has been continuing the research on 3D point processing technology that provides users with free viewing angle and stereoscopic effect in various fields. Point cloud technology, which is a type of representation of 3D point, has attracted attention in various fields because it can acquired/expressed point precisely. However, since Hundreds of thousands, millions of point are required to represent one 3D point cloud content, there is a disadvantage that a larger amount of storage space is required than a conventional 2D content. For this reason, the MPEG (Moving Picture Experts Group), an international standardization organization, is continuing to research how to efficiently compress, store, and transmit 3D point cloud content to users. In this paper, a V-PCC bitstream generated by a V-PCC (Video-based Point Cloud Compression) encoder proposed by the MPEG-I (Immersive) group is composed of an MPU (Media Processing Unit) defined by the MMT. In addition, by extending the signaling message defined in the MMT standard, a parameter for a segmented transmission method of the 3D point cloud content by area and quality parameters considering the characteristic of the 3D point cloud content, so that the quality parameters can be selectively determined according to the user's request. Finally, in this paper, we verify the result through design/implementation of the verification platform based on the proposed technology.

The Construction of GIS-based Flood Risk Area Layer Considering River Bight (하천 만곡부를 고려한 GIS 기반 침수지역 레이어 구축)

  • Lee, Geun-Sang;Yu, Byeong-Hyeok;Park, Jin-Hyeog;Lee, Eul-Rae
    • Journal of the Korean Association of Geographic Information Studies
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    • v.12 no.1
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    • pp.1-11
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    • 2009
  • Rapid visualization of flood area of downstream according to the dam effluent in flood season is very important in dam management works. Overlay zone of river bight should be removed to represent flood area efficiently based on flood stage which was modeled in river channels. This study applied drainage enforcement algorithm to visualize flood area considering river bight by coupling Coordinate Operation System for Flood control In Multi-reservoir (COSFIM) and Flood Wave routing model (FLDWAV). The drainage enforcement algorithm is a kind of interpolation which gives to advantage into hydrological process studies by removing spurious sinks of terrain in automatic drainage algorithm. This study presented mapping technique of flood area layer considering river bight in Namgang-Dam downstream, and developed system based on Arcobject component to execute this process automatically. Automatic extraction system of flood area layer could save time-consuming efficiently in flood inundation visualization work which was propelled based on large volume data. Also, flood area layer by coupling with IKONOS satellite image presented real information in flood disaster works.

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A Development of Active Monitoring and Approach Alarm System for Marine Buoy Protection and Ship Accident Prevention based on Trail Cameras and AIS (해상 부이 보호 및 선박 사고 예방을 위한 트레일 카메라-AIS 연계형 능동감시 및 접근경보 시스템 개발)

  • Hwang, Hun-Gyu;Kim, Bae-Sung;Kim, Hyen-Woo;Gang, Yong-Soo;Kim, Dae-Han
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.7
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    • pp.1021-1029
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    • 2018
  • The marine buoys are operated in various domains, which are navigation route and danger maker, weather and environment monitoring, military strategical element, etc. If the marine buoy is damaged, there consumes many cost and time for recovery or replacement, because of severe environmental condition, and causes a risk possibility of secondary accident. In this paper, we developed an active monitoring and approach alarm providing system using trail cameras and AIS for protection for the marine buoys. To do this, we analyzed existing researches and similar systems, extracted requirements for enhancement, and designed the system architecture that applied the enhanced elements. The main considerations of system enhancement are: integration of AIS and trail cameras, adopting of phased alarm technique by approaching ships, applying of selective communication module, conducting the image processing of ships for providing alarm, and applying thermal cameras. After that, we developed the system using designed architecture and verified effectiveness of the system based on laboratory or field-level tests.