• Title/Summary/Keyword: 영상 데이터 통신

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The design of 4s-van for GIS DB construction (GIS DB 구축을 위한 4S-VAN 설계)

  • Lee, Seung-Yong;Kim, Seong-Baek;Lee, Jong-Hun
    • Journal of Korean Society for Geospatial Information Science
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    • v.10 no.3 s.21
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    • pp.89-97
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    • 2002
  • We have developed the 45-Van system in order to maximize the interoperability of spatial data in 45(GNSS, SIIS, GIS, ITS) by sharing and providing spatial data of remote site. The 4S-Van system enables to acquisition and production of information for GIS database and the accurate position information by combining and connecting GPS/IMU, laser, CCD(charged-coupled device) image, and wireless telecommunication technology. That is, 4S-Van system measures its position and attitude using integrated GPS/IMU and takes two photographs of the front scene by two CCD cameras, analyzes position of objects by space intersection method, and constructs database that has compatibility with existing vector database system. Furthermore, infrared camera and wireless communication technique can be applied to the 4S-Van for a variety of applications. In this paper, we discuss the design and functions of 4S-Van that is equipped with GPS, CCD camera, and IMU.

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Implementation of factory monitoring system using MQTT and Node-RED (MQTT와 Node-RED를 이용한 설비 모니터링 시스템의 구현)

  • Oh, Se-Chun;Kim, Tae-Hyung;Kim, Young-Gon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.4
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    • pp.211-218
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    • 2018
  • Recently, various technologies related to IIoT are introduced continuously due to the spread of IoT and smart factory industries. This paper proposes the construction of a two-way wireless network system for monitoring plant equipment using these various technologies. The main technologies used in this thesis are design techniques for micro sensor nodes to monitor facility conditions at various sites, MQTT technology for wireless communication between local server and sensor nodes and Node-RED based design technologies, which store data collected and can be easily presented to users via wired and wireless wires. In addition, a wireless two-way camera system was also implemented in which the screen images of the site can be viewed in the situation room according to the instructions of the situation room when determining abnormal conditions.

Development of Experience System for Sasang Constitution Analysis (사상체질 분석 체험 시스템 개발)

  • So, Ji-Ho;Jeon, Young-Ju
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.5
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    • pp.9-13
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    • 2020
  • Sasang Constitutional Medicine is a traditional Korean medicine optimized for personalized medicine, and despite its effective clinical efficacy, the inaccuracy of constitutional diagnosis has been pointed out as a limitation. To improve the accuracy, a constitutional analysis algorithm based on quantitative data was developed. In this study, a constitutional analysis experience system applied with the algorithm was developed and repeatability was evaluated. The system analyzes the constitution of the experiencer by collecting front and side facial images, audio, and questionnaire and calculating the integrated constitution probability value. To evaluate the repeatability of the probability values of the system was performed five times each for three people, and the coefficient of variation was 4.778%, indicating that the repeatability was sufficient. The system could contribute to the promotion of the awareness of Sasang medicine.

Research on Robust Face Recognition against Lighting Variation using CNN (CNN을 적용한 조명변화에 강인한 얼굴인식 연구)

  • Kim, Yeon-Ho;Park, Sung-Wook;Kim, Do-Yeon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.2
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    • pp.325-330
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    • 2017
  • Face recognition technology has been studied for decades and is being used in various areas such as security, entertainment, and mobile services. The main problem with face recognition technology is that the recognition rate is significantly reduced depending on the environmental factors such as brightness, illumination angle, and image rotation. Therefore, in this paper, we propose a robust face recognition against lighting variation using CNN which has been recently re-evaluated with the development of computer hardware and algorithms capable of processing a large amount of computation. For performance verification, PCA, LBP, and DCT algorithms were compared with the conventional face recognition algorithms. The recognition was improved by 9.82%, 11.6%, and 4.54%, respectively. Also, the recognition improvement of 5.24% was recorded in the comparison of the face recognition research result using the existing neural network, and the final recognition rate was 99.25%.

Moving object segmentation and tracking using feature based motion flow (특징 기반 움직임 플로우를 이용한 이동 물체의 검출 및 추적)

  • 이규원;김학수;전준근;박규태
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.8
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    • pp.1998-2009
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    • 1998
  • An effective algorithm for tracking rigid or non-rigid moving object(s) which segments local moving parts from image sequence in the presence of backgraound motion by camera movenment, predicts the direction of it, and tracks the object is proposed. It requires no camera calibration and no knowledge of the installed position of camera. In order to segment the moving object, feature points configuring the shape of moving object are firstly selected, feature flow field composed of motion vectors of the feature points is computed, and moving object(s) is (are) segmented by clustering the feature flow field in the multi-dimensional feature space. Also, we propose IRMAS, an efficient algorithm that finds the convex hull in order to cinstruct the shape of moving object(s) from clustered feature points. And, for the purpose of robjst tracking the objects whose movement characteristics bring about the abrupt change of moving trajectory, an improved order adaptive lattice structured linear predictor is used.

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A VLSI Implementation of Real-time 8$\times$8 2-D DCT Processor for the Subprimary Rate Video Codec (저 전송률 비디오 코덱용 실시간 8$\times$8 이차원 DCT 처리기의 VLSI 구현)

  • 권용무;김형곤
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.15 no.1
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    • pp.58-70
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    • 1990
  • This paper describes a VLSI implementation of real-time two dimensional DCT processor for the subprimary rate video codec system. The proposed architecture exploits the parallelism and concurrency of the distributes architecture for vector inner product operation of DCT and meets the CCITT performance requirements of video codec for full CSIF 30 frames/sec. It is also shown that this architecture satisfies all the CCITT IDCT accuracy specification by simulating the suggested architecture in bit level. The efficient VLSI disign methodology to design suggested architecture is considered and the module generator oriented design environments are constructed based on SUN 3/150C workstation. Using the constructed design environments. the suggensted architecture have been designed by double metal 2micron CMOS technology. The chip area fo designed 8x8 2-D DA-DCT (Distributed Arithmetic DCT) processor is about 3.9mmx4.8mm.

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Study on Detection Technique for Cochlodinium polykrikoides Red tide using Logistic Regression Model and Decision Tree Model (로지스틱 회귀모형과 의사결정나무 모형을 이용한 Cochlodinium polykrikoides 적조 탐지 기법 연구)

  • Bak, Su-Ho;Kim, Heung-Min;Kim, Bum-Kyu;Hwang, Do-Hyun;Unuzaya, Enkhjargal;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.13 no.4
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    • pp.777-786
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    • 2018
  • This study propose a new method to detect Cochlodinium polykrikoides on satellite images using logistic regression and decision tree. We used spectral profiles(918) extracted from red tide, clear water and turbid water as training data. The 70% of the entire data set was extracted and used for model training, and the classification accuracy of the model was evaluated by using the remaining 30%. As a result of the accuracy evaluation, the logistic regression model showed about 97% classification accuracy, and the decision tree model showed about 86% classification accuracy.

ASCII data hiding method based on blind video watermarking using minimum modification of motion vectors (움직임벡터의 변경 최소화 기법을 이용한 블라인드 비디오 워터마킹 기반의 문자 정보 은닉 기법)

  • Kang, Kyung-Won;Ryu, Tae-Kyung;Jeong, Tae-Il;Park, Tae-Hee;Kim, Jong-Nam;Moon, Kwang-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.1C
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    • pp.78-85
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    • 2007
  • With the advancement of the digital broadcasting and popularity of the Internet, recently, many studies are making on the digital watermarking for the copyright protection of digital data. This paper proposes the minimum modification method of motion vector to minimize the degradation of video quality, hiding subtitles of many language and information of OST(original sound track), character profiles, etc. as well as the copyright protection. Our proposed algorithm extracts feature vector by comparing motion vector data with watermark data, and minimize the modification of motion vectors by deciding the inversion of bit. Thus the degradation of video quality is minimized comparing to conventional algorithms. This algorithm also can check data integrity, and retrieve embedded hidden data simply and blindly. And our proposed scheme can be useful for conventional MPEG-1, -2 standards without any increment of bit rate in the compressed video domain. The experimental result shows that the proposed scheme obtains better video quality than other previous algorithms by about $0.5{\sim}1.5dB$.

Design and Implementation HDTV Relay Transmission System for Overlay Multicast (오버레이 멀티캐스트를 위한 HDTV 중계전송 시스템 설계 및 구현)

  • Son, Seung-Chul;Kwag, Yong-Wan;Heo, Kwon;Lee, Hyung-Ok;Nam, Ji-Seung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.1A
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    • pp.57-65
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    • 2007
  • The overlay multicast that has been recently presented as IP alternative for the IP multicast has been getting much persuasion by the computing power of the hardware and the advancement of the network techniques to enforce Routing in application-level. In an overlay multicast, the system resource and the network bandwidth must be utilized efficiently to service real-time HDTV images. Specifically, the system must consider the delay and the jitter that can be incurred at the application-level. In this paper, we implement a server and a client to broadcast HDTV, in the session composed by the existing overlay multicast protocol. The broadcasting server performs the service using a TV tuner, An HDTV camcorder, and files, clients constituting a multicast group relay the received data to other clients. At this time, the information that the clients report periodically, including their delay and the network state, to the server is used as an important information to maintain an overlay session. The implementation is based on the DirectX and its performance is evaluated by the LAN test bed that has been set.

Adaptive Contention Window Mechanism for Enhancing Throughput in HomePlug AV Networks (HomePlug AV 네트워크에서의 성능 향상을 위한 적응적 Contention Window 조절 방식)

  • Yoon, Sung-Guk;Yun, Jeong-Kyun;Kim, Byung-Seung;Bahk, Sae-Woong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.5B
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    • pp.318-325
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    • 2008
  • HomePlug AV(HPAV) is the standard for distribution of Audio/video content as well as data within the home by using the power line. It uses a hybrid access mechanism that combines TDMA with CSMA/CA for MAC technology. The CSMA/CA protocol in HPAV has two main control blobs that can be used for access control: contention window(CW) size and deferral counter(DC). In this paper, we extensively investigate the impacts of CW and DC on performance through simulations, and propose an adaptive mechanism that adjusts the CW size to enhance the throughput in HPAV MAC. We find that the CW size is more influential on performance than the DC. Therefore, to make controlling the network easier, our proposal uses a default value of DC and adjusts the CW size. Our scheme simply increases or decreases the CW size if the network is too busy or too idle, respectively, We compare the performance of our proposal with those of the standard and other competitive schemes in terms of throughput and fairness. Our simulation and analysis results show that our adaptive CW mechanism performs very well under various scenarios.