• Title/Summary/Keyword: Reconstruction Efficiency

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Energy and Delay-Efficient Multipath Routing Protocol for Supporting Mobile Sink in Wireless Sensor Networks (무선 센서 네트워크에서 이동 싱크를 지원하기 위한 다중 경로 라우팅 프로토콜)

  • Lee, Hyun Kyu;Lee, Euisin
    • KIPS Transactions on Computer and Communication Systems
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    • v.5 no.12
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    • pp.447-454
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    • 2016
  • The research on multipath routing has been studied to solve the problem of frequent path breakages due to node and link failures and to enhance data delivery reliability in wireless sensor networks. In the multipath routing, mobile sinks such as soldiers in battle fields and rescuers in disaster areas bring about new challenge for handling their mobility. The sink mobility requests new multipath construction from sources to mobile sinks according to their movement path. Since mobile sinks have continuous mobility, the existing multipath can be exploited to efficiently reconstruct to new positions of mobile sinks. However, the previous protocols do not address this issue. Thus, we proposed an efficient multipath reconstruction protocol called LGMR for mobile sinks in wireless sensor networks. The LGMR address three multipath reconstruction methods based on movement types of mobile sinks: a single hop movement-based local multipath reconstruction, a multiple hop movement-based local multipath reconstruction, and a multiple hop movement-based global multipath reconstruction. Simulation results showed that the LGMR has better performance than the previous protocol in terms of energy consumption and data delivery delay.

Spatially Scalable Kronecker Compressive Sensing of Still Images (공간 스케일러블 Kronecker 정지영상 압축 센싱)

  • Nguyen, Canh Thuong;Jeon, Byeungwoo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.52 no.10
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    • pp.118-128
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    • 2015
  • Compressive sensing (CS) has to face with two challenges of computational complexity reconstruction and low coding efficiency. As a solution, this paper presents a novel spatially scalable Kronecker two layer compressive sensing framework which facilitates reconstruction up to three spatial resolutions as well as much improved CS coding performance. We propose a dual-resolution sensing matrix based on the quincunx sampling grid which is applied to the base layer. This sensing matrix can provide a fast-preview of low resolution image at encoder side which is utilized for predictive coding. The enhancement layer is encoded as the residual measurement between the acquired measurement and predicted measurement data. The low resolution reconstruction is obtained from the base layer only while the high resolution image is jointly reconstructed using both two layers. Experimental results validate that the proposed scheme outperforms both conventional single layer and previous multi-resolution schemes especially at high bitrate like 2.0 bpp by 5.75dB and 5.05dB PSNR gain on average, respectively.

A study of Construction Management for the Application to the Residential Environment Improvement Project (주거환경정비사업에서의 건설사업관리 적용 방안 연구)

  • Lee, Jeong-Bok
    • Korean Journal of Construction Engineering and Management
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    • v.7 no.2 s.30
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    • pp.89-97
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    • 2006
  • With the increased demand on housing quality and effective urban redevelopment, a new paradigm in reconstruction project is in need. Especially, the Urban and Residential Environment Improvement Law which initiated on July 1, 2003 has become a significant turning point. This code is expected to function as a consistent and systematic measure. This study will examine the code's major concepts and methods to progress reconstruction projects effectively. The application of construction management is examined carefully since the new code requires renewal project consulting firms to function as a professional complement rather than simply perform administration work, as in the past. Also, construction managing methods that can be related to renewal project consulting are examined and speculated. Lastly, methods to improve efficiency in reconstruction projects are introduced through case study and analysis on applicability and expected results.

A Decision Making Method between Reconstruction & Remodeling for Improvement of the Apartment Housing (공동주택 개량을 위한 재건축과 리모델링의 사업 추진 결정 방법)

  • Kim Hyung-Man;Yoon Suk-Ho;Park Chan-Sik
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2004.11a
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    • pp.476-479
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    • 2004
  • In the process of industrialization of our country in 1970's, Korea's housing strategy has focused on housing supply. Rapid completion and supply of apartment house buildings have caused a problem of their early deterioration due to their poor quality. In 1987 Housing Construction Promotion Act, therefore, included new regulations on housing re-construction. In July 2001, other new regulations on remodeling apartment buildings were also included in the Act. Reconstruction and remodeling have been considered to deal with such problems. This study suggests an appraisal criteria if they can select reconstruction or remodeling method in conducting their apartment building project. At first, evaluation items should be selected by the criteria of function31ity and economical efficiency. Second, the selected item is screened by AHP and multi-criteria decision-making methods. The result of study shows that the owners of apartment units will be able to select reasonable alternatives through the suggested appraisal method

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Investigation of Ring Artifact Using Algebraic Reconstruction Technique (대수적 재구성 기법을 통한 링 아티팩트 조사)

  • Chon, Kwon Su
    • Journal of the Korean Society of Radiology
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    • v.12 no.1
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    • pp.65-70
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    • 2018
  • Computed tomography system is widely used on various fields because section image of an object can be acquired. During several step to obtain section image, artifacts by many error factors can be added on the image. Ring artifact induced by the CT system is examined in this study. A test phantom of $512{\times}512$ size was constructed numerically, and the ring artifact was investigated by the algebraic reconstruction technique. The computer program was realized using Visual C++ under the fan beam geometry with projections of 720 and detector pixel of 1,280. The generation of ring artifact was verified by applying different detection efficiency on detector pixels. The ring intensity became large as increasing the ring value, and the ring artifacts were strongly emphasized near the center of the reconstructed image. The ring artifact may be eliminated by tracking the position of ring artifact on the reconstructed image and by calibrating the detector pixel.

3D Building Reconstruction and Visualization by Clustering Airborne LiDAR Data and Roof Shape Analysis

  • Lee, Dong-Cheon;Jung, Hyung-Sup;Yom, Jae-Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.25 no.6_1
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    • pp.507-516
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    • 2007
  • Segmentation and organization of the LiDAR (Light Detection and Ranging) data of the Earth's surface are difficult tasks because the captured LiDAR data are composed of irregularly distributed point clouds with lack of semantic information. The reason for this difficulty in processing LiDAR data is that the data provide huge amount of the spatial coordinates without topological and/or relational information among the points. This study introduces LiDAR data segmentation technique by utilizing histograms of the LiDAR height image data and analyzing roof shape for 3D reconstruction and visualization of the buildings. One of the advantages in utilizing LiDAR height image data is no registration required because the LiDAR data are geo-referenced and ortho-projected data. In consequence, measurements on the image provide absolute reference coordinates. The LiDAR image allows measurement of the initial building boundaries to estimate locations of the side walls and to form the planar surfaces which represent approximate building footprints. LiDAR points close to each side wall were grouped together then the least-square planar surface fitting with the segmented point clouds was performed to determine precise location of each wall of an building. Finally, roof shape analysis was performed by accumulated slopes along the profiles of the roof top. However, simulated LiDAR data were used for analyzing roof shape because buildings with various shapes of the roof do not exist in the test area. The proposed approach has been tested on the heavily built-up urban residential area. 3D digital vector map produced by digitizing complied aerial photographs was used to evaluate accuracy of the results. Experimental results show efficiency of the proposed methodology for 3D building reconstruction and large scale digital mapping especially for the urban area.

An Improved Design Method of FIR Quadrature Mirror-Image Filter Banks (개선된 FIR QMF 뱅크의 설계 방법)

  • 조병모;김영수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.2C
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    • pp.213-221
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    • 2004
  • A new method for design of two-channel finite-impulse response(FIR) quadrature mirror-image filter(QMF) banks with low reconstruction delay using weighting function is proposed. The weighting function used in this paper is calculated from the previous updated filter coefficients vector which is adjusted from iteration to iteration in the design of QMF banks. In this paper, passband and stopband edge frequency are used in design of QMF banks with low delay characteristic in time domain instead of specific frequency interval where the artifacts occur in conventional design method. The investigation of specific frequency interval where artifacts occur can not be required by using passband and stopband edge frequency. Some comparisons of performance are made with other existing design method to demonstrate the proposed method for QMF bank design. and it was observed that the proposed method using the weighted function and passband and stopband edge frequency improves the peak reconstruction error by 0.001 [dB], the peak-to-peak passband ripple by 0.003[dB], SNR with a white noise by 7[dB] and SNR with a step input by 32[dB], but with a reduction of the computational efficiency because of updating the weighting function over the conventional method in Ref [11].

Binarization and Stroke Reconstruction of Low Quality Character Image for Effective Character Recognition (효과적인 문자 인식을 위한 저 품질 문자 영상의 이진화 및 획 재구성 방법)

  • Kim, Do-Hyeon;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.11 no.3
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    • pp.608-618
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    • 2007
  • Image binarization is an important preprocessing to identify the object of interest by dividing pixels into the background and object. We proposes efficient binarization method and a stroke reconstruction method of the low quality character image for an effective character recognition. First, the character image is binarized by using the both advantages of local and global thresholding method and then the noise elimination around the character stroke and the hole filling on the stoke by the analysis of the binarized stroke image are performed to enhance the quality of the character stroke. Proposed binarization algorithm for character image achieved an efficiency of both processing speed and performance by the adaptive threshold selection. Moreover, We could get a high qualify binary image by a stroke reconstruction of the step-by-step denoising process.

Applications of Artificial Intelligence in MR Image Acquisition and Reconstruction (MRI 신호획득과 영상재구성에서의 인공지능 적용)

  • Junghwa Kang;Yoonho Nam
    • Journal of the Korean Society of Radiology
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    • v.83 no.6
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    • pp.1229-1239
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    • 2022
  • Recently, artificial intelligence (AI) technology has shown potential clinical utility in a wide range of MRI fields. In particular, AI models for improving the efficiency of the image acquisition process and the quality of reconstructed images are being actively developed by the MR research community. AI is expected to further reduce acquisition times in various MRI protocols used in clinical practice when compared to current parallel imaging techniques. Additionally, AI can help with tasks such as planning, parameter optimization, artifact reduction, and quality assessment. Furthermore, AI is being actively applied to automate MR image analysis such as image registration, segmentation, and object detection. For this reason, it is important to consider the effects of protocols or devices in MR image analysis. In this review article, we briefly introduced issues related to AI application of MR image acquisition and reconstruction.

A Preoperative Marking Template for Deep Inferior Epigastric Artery Perforator Flap Perforators in Breast Reconstruction

  • Miranda, Benjamin H.;Pywell, Matthew;Floyd, David
    • Archives of Plastic Surgery
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    • v.41 no.2
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    • pp.171-173
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    • 2014
  • Preoperative perforator marking for deep inferior epigastric artery perforator flaps is vital to the success of the procedure in breast reconstruction. Advances in imaging have facilitated accurate identification and preselection of potentially useful perforators. However, the reported imaging accuracy may be lost when preoperatively marking the patient, due to 'mapping errors', as this relies on the use of 2 reported vectors from a landmark such as the umbilicus. Observation errors have been encountered where inaccurate perforator vector measurements have been reported in relation to the umbilicus. Transcription errors have been noted where confusing and wordy reports have been typed or where incorrect units have been given (millimetres vs. centimetres). Interpretation errors have also occurred when using the report for preoperative marking. Furthermore, the marking process may be unnecessarily time-consuming. We describe a bespoke template, created using an individual computed tomography angiography image, that increases the efficiency and accuracy of preoperative marking. The template is created to scale, is individually tailored to the patient, and is particularly useful in cases where multiple potential suitable perforators exist.