• Title/Summary/Keyword: Detection Key

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WHO Treatment Guidelines for Drug-Resistant Tuberculosis, 2016 Update: Applicability in South Korea

  • Jeon, Doosoo
    • Tuberculosis and Respiratory Diseases
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    • v.80 no.4
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    • pp.336-343
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    • 2017
  • Despite progress made in tuberculosis control worldwide, the disease burden and treatment outcome of multidrug-resistant tuberculosis (MDR-TB) patients have remained virtually unchanged. In 2016, the World Health Organization released new guidelines for the management of MDR-TB. The guidelines are intended to improve detection rate and treatment outcome for MDR-TB through novel, rapid molecular testing and shorter treatment regimens. Key changes include the introduction of a new, shorter MDR-TB treatment regimen, a new classification of medicines and updated recommendations for the conventional MDR-TB regimen. This paper will review these key changes and discuss the potential issues with regard to the implementation of these guidelines in South Korea.

A Study on the Work Delay Factors of Reinforced Concrete Work in Apartment House Construction (공동주택 철근콘크리트 공사 작업지연요인에 관한 연구)

  • Lee, Hyun-Chul;Lim, So-Yean;Yeo, Sang-Ku;Go, Seong-Seok
    • Journal of the Korea Institute of Building Construction
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    • v.9 no.2
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    • pp.55-61
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    • 2009
  • In order to conduct construction projects effectively, the work delay factors would be managed by planned construction schedules. As construction works are delayed ceaselessly, the solution is to select and manage the key factors which delay the work ceaselessly. The subjects of this study were an apartment houses of reinforced concrete structure. Hidden work delay factor were extracted, the surveys were conducted and occurrence, severity and detection of each factor were analyzed. With this result, final orders of priority were fixed and key management factors were deducted and presented.

A study on Web-based Video Panoramic Virtual Reality for Hose Cyber Shell Museum (비디오 파노라마 가상현실을 기반으로 하는 호서 사이버 패류 박물관의 연구)

  • Hong, Sung-Soo;khan, Irfan;Kim, Chang-ki
    • Annual Conference of KIPS
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    • 2012.11a
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    • pp.1468-1471
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    • 2012
  • It is always a dream to recreate the experience of a particular place, the Panorama Virtual Reality has been interpreted as a kind of technology to create virtual environments and the ability to maneuver angle for and select the path of view in a dynamic scene. In this paper we examined an efficient algorithm for Image registration and stitching of captured imaged from a video stream. Two approaches are studied in this paper. First, dynamic programming is used to spot the ideal key points, match these points to merge adjacent images together, later image blending is use for smooth color transitions. In second approach, FAST and SURF detection are used to find distinct features in the images and a nearest neighbor algorithm is used to match corresponding features, estimate homography with matched key points using RANSAC. The paper also covers the automatically choosing (recognizing, comparing) images to stitching method.

A Review of 3D Object Tracking Methods Using Deep Learning (딥러닝 기술을 이용한 3차원 객체 추적 기술 리뷰)

  • Park, Hanhoon
    • Journal of the Institute of Convergence Signal Processing
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    • v.22 no.1
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    • pp.30-37
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    • 2021
  • Accurate 3D object tracking with camera images is a key enabling technology for augmented reality applications. Motivated by the impressive success of convolutional neural networks (CNNs) in computer vision tasks such as image classification, object detection, image segmentation, recent studies for 3D object tracking have focused on leveraging deep learning. In this paper, we review deep learning approaches for 3D object tracking. We describe key methods in this field and discuss potential future research directions.

EXOPLANETS AND HABITABILITY (외계행성과 생명가능성)

  • Sungwook E. Hong;Ryun-Young Kwon;Yunjong Kim;Hyunwoo Kang;Minsun Kim
    • Publications of The Korean Astronomical Society
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    • v.38 no.2
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    • pp.13-24
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    • 2023
  • More than 5,000 exoplanets have been detected nowadays. One of the key motivations of exoplanet detection is to understand what physical/chemical conditions of exoplanets are suitable for harboring extraterrestrial life. Such conditions are called "habitability," and most modern studies assume the existence of liquid water as its key factor. In this paper, we review the current status of exoplanet and habitability studies, as well as some future (habitable) exoplanet survey plans, mostly from National Academies of Sciences, Engineering, and Medicine (2018, 2021). Also, we suggest several research items that the Korean astronomy and space science community could contribute to habitability.

Misused Key Detection Scheme Using Token in WSN (WSN 환경에서 토큰을 이용한 오용키 탐지 기법)

  • Kang, Dong-Min;Park, Min-Woo;Park, Seon-Ho;Chung, Tai-Myoung
    • Annual Conference of KIPS
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    • 2009.11a
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    • pp.603-604
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    • 2009
  • 무선 센서 네트워크에서 키 관리는 센서노드들 간의 안전한 통신을 위해 필요하다. 초경량, 저전력, 단거리의 통신 제약을 갖는 센서노드들은 공격자에 의해 보다 쉽게 키가 노출 될 수 있다. 특히 확률적 키 분배 방식을 사용하는 환경에서는 키가 공격자에 의해 노출 될 경우 정상적인 센서노드간의 통신에 잘못된 정보를 삽입 할 수 있어 무선 센서 네트워크의 기능에 치명적인 영향을 준다. 이때 공격자에 의해 노출되어 악용된 키를 오용키(Misused Key)라고 하며, 본 논문에서는 토큰(token)을 사용하여 기존의 방법보다 에너지 효율적인 토큰 오용키 탐지 기법을 제안한다.

Finding focused key frames of a given meaning on video data (영상의 특정 의미를 반영하는 Key Frame의 추출 방법)

  • Ha, Jong-Woo;Noh, Jung-Dam;Yoon, Soungwoong;Kim, Min-Soo;Ahn, Chang-Won
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2022.01a
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    • pp.85-88
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    • 2022
  • 영상을 구성하는 프레임 중에 키프레임은 일반적으로 영상 정보를 효과적으로 요약하거나 용이한 분석을 위해 선정된다. 화상이 가진 의미는 인물/사물 등의 객체탐지를 통해 추출되는데, 기존의 키프레임 관련 연구는 영상이 가지는 의미를 반영하는 키프레임을 찾아내기 어렵다. 본 논문에서는 영상이 가지는 특정 의미가 있다고 할 때 이를 반영하는 키프레임을 효과적으로 추출하는 방법을 실험적으로 탐구하였다. 구체적으로 영상을 통할하는 의미를 피로라고 가정하고 영상의 졸음 인식 관련 연구에 사용되는 DDD 데이터셋을 이용하여 효과적인 키프레임 추출 기법을 적용해 보았으며, 실험 결과 졸음이라는 특정 정보에 대한 해석을 도울 수 있는 의미 있는 요약을 제공하는 키프레임들을 효과적으로 추출하는 분석 기법을 찾아낼 수 있었다.

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A PDPWM Based DC Capacitor Voltage Control Method for Modular Multilevel Converters

  • Du, Sixing;Liu, Jinjun;Liu, Teng
    • Journal of Power Electronics
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    • v.15 no.3
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    • pp.660-669
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    • 2015
  • This paper presents a control scheme with a focus on the combination of phase disposition pulse width modulation (PDPWM) and DC capacitor voltage control for a chopper-cell based modular multilevel converter (MMC) for the purpose of eliminating the time-consuming voltage sorting algorithm and complex voltage balancing regulators. In this paper, the convergence of the DC capacitor voltages within one arm is realized by charging the minimum voltage module and discharging the maximum voltage module during each switching cycle with the assistances of MAX/MIN capacitor voltage detection and PDPWM signals exchanging. The process of voltage balancing control introduces no extra switching commutation, which is helpful in reducing power loss and improving system efficiency. Additionally, the proposed control scheme also possess the merit of a simple executing procedure in application. Simulation and experimental results indicates that the MMC circuit together with the proposed method functions very well in balancing the DC capacitor voltage and improving system efficiency even under transient states.

Correction of Erroneous Model Key Points Extracted from Segmented Laser Scanner Data and Accuracy Evaluation

  • Yoo, Eun Jin;Park, So Young;Yom, Jae-Hong;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.31 no.6_2
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    • pp.611-623
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    • 2013
  • Point cloud data (i.e., LiDAR; Light Detection and Ranging) collected by Airborne Laser Scanner (ALS) system is one of the major sources for surface reconstruction including DEM generation, topographic mapping and object modeling. Recently, demand and requirement of the accurate and realistic Digital Building Model (DBM) increase for geospatial platforms and spatial data infrastructure. The main issues in the object modeling such as building and city modeling are efficiency of the methodology and quality of the final products. Efficiency and quality are associated with automation and accuracy, respectively. However, these two factors are often opposite each other. This paper aims to introduce correction scheme of incorrectly determined Model Key Points (MKPs) regardless of the segmentation method. Planimetric and height locations of the MKPs were refined by surface patch fitting based on the Least-Squares Solution (LESS). The proposed methods were applied to the synthetic and real LiDAR data. Finally, the results were analyzed by comparing adjusted MKPs with the true building model data.

Subcarrier and Power Allocation for Multiuser MIMO-OFDM Systems with Various Detectors

  • Mao, Jing;Chen, Chen;Bai, Lin;Xiang, Haige;Choi, Jinho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.10
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    • pp.4738-4758
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    • 2017
  • Resource allocation plays a crucial role in multiuser multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) systems to improve overall system performance. While previously proposed resource allocation algorithms are mainly designed from the point of view of the information-theoretic, we formulate the resource allocation problem as an average bit error rate (BER) minimization problem subject to a total power constraint when considering employing realistic MIMO detection techniques. Subsequently, we derive the optimal subcarrier and power allocation algorithms for three types of well-known MIMO detectors, including the maximum likelihood (ML) detector, linear detectors, and successive interference cancellation (SIC) detectors. To reduce the complexity, we also propose a two-step suboptimal algorithm that separates subcarrier and power allocation for each detector. We also analyze the diversity gain of the proposed suboptimal algorithms for various MIMO detectors. Simulation results confirm that the proposed suboptimal algorithm for each detector can achieve a comparable performance with the optimal allocation with a much lower complexity. Moreover, it is shown that the suboptimal algorithms perform better than the conventional algorithms that are known in the literature.