• 제목/요약/키워드: Advanced Features

검색결과 1,420건 처리시간 0.033초

Aerial Triangulation with 3D Linear Features and Arc-Length Parameterization

  • Lee, Won-Hee
    • 대한공간정보학회지
    • /
    • 제17권3호
    • /
    • pp.115-120
    • /
    • 2009
  • 기존의 도화사 수작업에 의한 기준점기반 항공삼각측량 기법은 전통적인 사진측량에서 유용하게 이용되어 왔으나, 자동화된 수치사진측량 기법이 확산되면서 기존방법의 문제점이 대두되었다. 따라서 본 논문은 보다 발전된 자동화 기술 개발을 위하여 상위 레벨인 선형객체들을 이용한 항공삼각측량 가능성을 제시하고 검증하고자 하였다. 최근에 발달된 선형 객체 추출기법 알고리즘은 보다 정확한 선형 객체 추출기법을 제공하였지만, 포인트 추출기법에 비하여 추출하기 어려운 단점이 존재한다. 따라서 본 논문은 이를 극복하기 위하여 수동 디지타이징이나 에지 연산자를 통하여 쉽게 획득되는 포인트를 이용하여 상위레벨 선형객체를 생성하고, 이를 통해 지형공간정보 이용 가능성을 높이고자 하였다. 본 연구 결과를 통해 진화하고 있는 컴퓨터 환경에 적합한 선형객체를 이용한 항공삼각측량 기법을 발전시킬 것으로 기대된다.

  • PDF

CT-Based Fagotti Scoring System for Non-Invasive Prediction of Cytoreduction Surgery Outcome in Patients with Advanced Ovarian Cancer

  • Na Young Kim;Dae Chul Jung;Jung Yun Lee;Kyung Hwa Han;Young Taik Oh
    • Korean Journal of Radiology
    • /
    • 제22권9호
    • /
    • pp.1481-1489
    • /
    • 2021
  • Objective: To construct a CT-based Fagotti scoring system by analyzing the correlations between laparoscopic findings and CT features in patients with advanced ovarian cancer. Materials and Methods: This retrospective cohort study included patients diagnosed with stage III/IV ovarian cancer who underwent diagnostic laparoscopy and debulking surgery between January 2010 and June 2018. Two radiologists independently reviewed preoperative CT scans and assessed ten CT features known as predictors of suboptimal cytoreduction. Correlation analysis between ten CT features and seven laparoscopic parameters based on the Fagotti scoring system was performed using Spearman's correlation. Variable selection and model construction were performed by logistic regression with the least absolute shrinkage and selection operator method using a predictive index value (PIV) ≥ 8 as an indicator of suboptimal cytoreduction. The final CT-based scoring system was internally validated using 5-fold cross-validation. Results: A total of 157 patients (median age, 56 years; range, 27-79 years) were evaluated. Among 120 (76.4%) patients with a PIV ≥ 8, 105 patients received neoadjuvant chemotherapy followed by interval debulking surgery, and the optimal cytoreduction rate was 90.5% (95 of 105). Among 37 (23.6%) patients with PIV < 8, 29 patients underwent primary debulking surgery, and the optimal cytoreduction rate was 93.1% (27 of 29). CT features showing significant correlations with PIV ≥ 8 were mesenteric involvement, gastro-transverse mesocolon-splenic space involvement, diaphragmatic involvement, and para-aortic lymphadenopathy. The area under the receiver operating curve of the final model for prediction of PIV ≥ 8 was 0.72 (95% confidence interval: 0.62-0.82). Conclusion: Central tumor burden and upper abdominal spread features on preoperative CT were identified as distinct predictive factors for high PIV on diagnostic laparoscopy. The CT-based PIV prediction model might be useful for patient stratification before cytoreduction surgery for advanced ovarian cancer.

Network Anomaly Detection using Hybrid Feature Selection

  • 김은혜;김세현
    • 한국정보보호학회:학술대회논문집
    • /
    • 한국정보보호학회 2006년도 하계학술대회
    • /
    • pp.649-653
    • /
    • 2006
  • In this paper, we propose a hybrid feature extraction method in which Principal Components Analysis is combined with optimized k-Means clustering technique. Our approach hierarchically reduces the redundancy of features with high explanation in principal components analysis for choosing a good subset of features critical to improve the performance of classifiers. Based on this result, we evaluate the performance of intrusion detection by using Support Vector Machine and a nonparametric approach based on k-Nearest Neighbor over data sets with reduced features. The Experiment results with KDD Cup 1999 dataset show several advantages in terms of computational complexity and our method achieves significant detection rate which shows possibility of detecting successfully attacks.

  • PDF

FAULT-TOLERANT DESIGN FOR ADVANCED DIVERSE PROTECTION SYSTEM

  • Oh, Yang Gyun;Jeong, Kin Kwon;Lee, Chang Jae;Lee, Yoon Hee;Baek, Seung Min;Lee, Sang Jeong
    • Nuclear Engineering and Technology
    • /
    • 제45권6호
    • /
    • pp.795-802
    • /
    • 2013
  • For the improvement of APR1400 Diverse Protection System (DPS) design, the Advanced DPS (ADPS) has recently been developed to enhance the fault tolerance capability of the system. Major fault masking features of the ADPS compared with the APR1400 DPS are the changes to the channel configuration and reactor trip actuation equipment. To minimize the fault occurrences within the ADPS, and to mitigate the consequences of common-cause failures (CCF) within the safety I&C systems, several fault avoidance design features have been applied in the ADPS. The fault avoidance design features include the changes to the system software classification, communication methods, equipment platform, MMI equipment, etc. In addition, the fault detection, location, containment, and recovery processes have been incorporated in the ADPS design. Therefore, it is expected that the ADPS can provide an enhanced fault tolerance capability against the possible faults within the system and its input/output equipment, and the CCF of safety systems.

Depth-hybrid speeded-up robust features (DH-SURF) for real-time RGB-D SLAM

  • Lee, Donghwa;Kim, Hyungjin;Jung, Sungwook;Myung, Hyun
    • Advances in robotics research
    • /
    • 제2권1호
    • /
    • pp.33-44
    • /
    • 2018
  • This paper presents a novel feature detection algorithm called depth-hybrid speeded-up robust features (DH-SURF) augmented by depth information in the speeded-up robust features (SURF) algorithm. In the keypoint detection part of classical SURF, the standard deviation of the Gaussian kernel is varied for its scale-invariance property, resulting in increased computational complexity. We propose a keypoint detection method with less variation of the standard deviation by using depth data from a red-green-blue depth (RGB-D) sensor. Our approach maintains a scale-invariance property while reducing computation time. An RGB-D simultaneous localization and mapping (SLAM) system uses a feature extraction method and depth data concurrently; thus, the system is well-suited for showing the performance of the DH-SURF method. DH-SURF was implemented on a central processing unit (CPU) and a graphics processing unit (GPU), respectively, and was validated through the real-time RGB-D SLAM.

Review on LTE-Advanced Mobile Technology

  • Seo, Dae-woong;Kim, Yoon-Hwan;Song, Jeong-Sang;Jang, Bongseog;Bae, Sang-Hyun
    • 통합자연과학논문집
    • /
    • 제11권4호
    • /
    • pp.197-203
    • /
    • 2018
  • Long Term Evolution-Advanced (LTE-A) is the next drive in the broadband mobile communication, which allows operators to improve networks performance and service capabilities. LTE-A targets the peak data rates of 1Gbps in the downlink and 500Mbps in the uplink. This requirement is only fulfilled by a transmission bandwidth of up to 100MHz. However the accessibility of such large part of the contiguous spectrum is uncommon in practice. Therefore LTE-A uses some new features on top of the existing LTE standards to provide very high data rate transmission. Some of the most significant features introduced in LTE-A are carrier aggregation, heterogeneous network enhancement, coordinated multipoint transmission and reception, enhanced multiple input and multiple output, and development relay nodes with universal frequency reuse. This review paper presents an overview of the above mentioned LTE-A key features and functionalities. Based on this review, in the conclusion we discuss the current technical challenges for future broadband mobile communication systems.

On the Data Features for Neighbor Path Selection in Computer Network with Regional Failure

  • Yong-Jin Lee
    • International journal of advanced smart convergence
    • /
    • 제12권3호
    • /
    • pp.13-18
    • /
    • 2023
  • This paper aims to investigate data features for neighbor path selection (NPS) in computer network with regional failures. It is necessary to find an available alternate communication path in advance when regional failures due to earthquakes or forest fires occur simultaneously. We describe previous general heuristics and simulation heuristic to solve the NPS problem in the regional fault network. The data features of general heuristics using proximity and sharing factor and the data features of simulation heuristic using machine learning are explained through examples. Simulation heuristic may be better than general heuristics in terms of communication success. However, additional data features are necessary in order to apply the simulation heuristic to the real environment. We propose novel data features for NPS in computer network with regional failures and Keras modeling for computing the communication success probability of candidate neighbor path.

레이저 레인지 파인더와 2½D 지도 기반의 선분/호 개체를 이용한 이동 로봇의 실외 위치 추정 알고리즘 (Outdoor Mobile Robot Localization Algorithm using Line/Arc Features based on Laser Range Finders and 2½D Map)

  • 윤건우;김진백;김병국
    • 제어로봇시스템학회논문지
    • /
    • 제18권7호
    • /
    • pp.658-663
    • /
    • 2012
  • An accurate outdoor localization method using line/arc features is suggested for mobile robots with LRFs (Laser Range Finders) and odometry. Localization is a key process for outdoor mobile robots which are used for autonomous navigation, exploration and so on. In this paper, an accurate pose correction algorithm is proposed for mobile robots using LRFs, which use three feature types: line, circle, and arc. Using this method we can reduce the number of singular cases that robots couldn't find their pose. Finally we have got simulation results to validate the proposed algorithm.

GEOTAIL SPACECRAFT OBSERVATIONS OF NEAR-TAIL DIPOLARIZATION AND PLASMA FLOW DURING THE SUBSTORM EXPANSION

  • Lee, D.Y.;Min, K.W.;Lee, E.S.
    • Journal of Astronomy and Space Sciences
    • /
    • 제17권2호
    • /
    • pp.141-146
    • /
    • 2000
  • Some observational features on the July 5, 1995 substorm event are presented using the data from the Geotail satellite which was located at near-Earth plasma sheet, ${X}_{GSE}$$-9.6R_{E}$, and quite close to the onset sector. Near-tail magnetic field reveals the typical dipolarizations starting ar ∼ 11-4 UT until ∼ 1113 UT. During the interval, two dipolarizations occur: First dipolarization is not strong and accompanies only weak(<150km/s) earthward/dawnward plasma flows, and in the second dipolarization that follows shortly, rather large amplitude magnetic fluctuations are seen, but it initiates with no significant earthward flow. The earthward bursty flow with a maximum speed of > 450km/s was observed, but delayed by ∼ 1 min with respect to the second dipolarization initiation. These features are in conflict with the flow-braking scenario for the substorm. Rather they fit better in the near-tail current disruption scenario.

  • PDF