• Title/Summary/Keyword: time domain data

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National Cancer Control Plan of the Korea: Current Status and the Fourth Plan (2021-2025)

  • Kyu-Tae Han;Jae Kwan Jun;Jeong-Soo Im
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.3
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    • pp.205-211
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    • 2023
  • Cancer management has become a major policy goal for the government of the Korea. As such, the government introduced the National Cancer Control Plan (NCCP) to reduce the individual and social burdens caused by cancer and to promote national health. During the past 25 years, 3 phases of the NCCP have been completed. During this time, the NCCP has changed significantly in all aspects of cancer control from prevention to survival. The targets for cancer control are increasing, and although some blind spots remain, new demands are emerging. The government initiated the fourth NCCP in March 2021, with the vision of "A Healthy Country with No Concerns about Cancer Anywhere at Any Time," which aims to build and disseminate high-quality cancer data, reduce preventable cancer cases, and reduce gaps in cancer control. Its main strategies include (1) activation of cancer big data, (2) advancement of cancer prevention and screening, (3) improvement in cancer treatment and response, and (4) establishment of a foundation for balanced cancer control. The fourth NCCP has many positive expectations, similar to the last 3 plans; however, cross-domain support and participation are required to achieve positive results in cancer control. Notably, cancer remains the leading cause of death despite decades of management efforts and should continue to be managed carefully from a national perspective.

A Study on the Evaluation of Concrete Unit-Water Content of FDR Sensor Using Deep Learning and Machine Learning (딥러닝과 머신러닝을 이용한 FDR 센서의 콘크리트 단위수량 평가에 관한 연구)

  • Lee, Seung-Yeop;Youn, Ji-Won;Wi, Gwang-Woo;Yang, Hyun-Min;Lee, Han-Seung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2022.11a
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    • pp.29-30
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    • 2022
  • The unit-water content has a very significant effect on the durability of the construction structure and the quality of concrete. Although there are various methods for measuring the unit-water content, there are problems of time required for measurement, precision, and reproducibility. Recently, there is an FDR sensor capable of measuring moisture content in real time through an apparent dielectric constant change of electromagnetic waves. In addition, various artificial intelligence techniques that can non-linearly supplement the accuracy of FDR sensors are being studied. In this study, the accuracy of unit-water content measurement was compared and evaluated using machine learning and deep learning techniques after normalizing the data secured in concrete using frequency domain reflectometry (FDR) sensors used to measure soil moisture at home and abroad. The result of comparing the accuracy of machine learning and deep learning is judged to be excellent in the accuracy of deep learning, which can well express the nonlinear relationship between FDR sensor data and concrete unit-water content.

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Effectiveness Analysis on the Coherence and Time for Synthetic Aperture Sonar (코히어런스 영향과 시간에 따른 실측 데이터의 합성 효과 실험)

  • Kang Hyun-Woo
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.4
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    • pp.172-177
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    • 2006
  • Various research and development on Synthetic Aperture Sonar technique is under way to enhance bearing resolution of a SONAR system. In this paper, we estimated perturbed array shapes, and compensated distortion by using estimated away shapes and synthesized arrays in aperture domain such as an ETAM technique. As experimental data, we used the one obtained from towed array in neighboring waters of the Korean peninsula. Through simulation on data where tow-ship speed is maintained at a constant level, we confirmed that synthesis effect of increasing SNR and narrowed beam width of main lobe was consistently demonstrated for about 1 minute when coherence of target signal was maintained. Also, we showed that the synthesis effect with respect to time was constantly maintained.

A Study on the Support Tool for Simulator Algorithm Development (알고리즘 적용이 용이한 시뮬레이터 개발 지원 도구에 관한 연구)

  • Lee, Yeong-Ju;Kim, Ah-Young;Park, Se-Kil;Oh, Jae-Yong;Kim, Jeong-Soo
    • Journal of Navigation and Port Research
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    • v.38 no.4
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    • pp.385-390
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    • 2014
  • Simulator is composed of several devices that have a variety of forms and functions. These devices are connected to each other by a network intricately. For this reason, simulator development and maintenance process require a lot of time and money. In order to successfully develop the simulator, it is ideal that related professionals share the work and work together in parallel. However, development is carried out inefficiently, because task interdependence makes it difficult to work in parallel. In this paper, the developments of the simulator were classified into algorithm development and system development, and it was discussed how to lower the interdependence of these two tasks and support professionals. In particular, based on the requirements analysis of the domain experts responsible for the development of the algorithm, we designed the support tool for simulator development and proposed development process using this tool. We also introduced the concept of a DataSet in order to support algorithm development of domain experts and manage data flexibly. And we designed network architecture to enable flexible reconfiguration of simulator equipment. By using the tools to support the simulator development, domain experts are able to concentrate on algorithm development and it is expected to be effective collaboration. In addition, the development plan and management are expected to be easy because the development process is systematic and clearer.

Diagnostics and Prognostics Based on Adaptive Time-Frequency Feature Discrimination

  • Oh, Jae-Hyuk;Kim, Chang-Gu;Cho, Young-Man
    • Journal of Mechanical Science and Technology
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    • v.18 no.9
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    • pp.1537-1548
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    • 2004
  • This paper presents a novel diagnostic technique for monitoring the system conditions and detecting failure modes and precursors based on wavelet-packet analysis of external noise/vibration measurements. The capability is based on extracting relevant features of noise/vibration data that best discriminate systems with different noise/vibration signatures by analyzing external measurements of noise/vibration in the time-frequency domain. By virtue of their localized nature both in time and frequency, the identified features help to reveal faults at the level of components in a mechanical system in addition to the existence of certain faults. A prima-facie case is made via application of the proposed approach to fault detection in scroll and rotary compressors, although the methods and algorithms are very general in nature. The proposed technique has successfully identified the existence of specific faults in the scroll and rotary compressors. In addition, its capability of tracking the severity of specific faults in the rotary compressors indicates that the technique has a potential to be used as a prognostic tool.

Debonding monitoring of CFRP strengthened RC beams using active sensing and infrared imaging

  • Sohn, Hoon;Kim, Seung Dae;In, Chi Won;Cronin, Kelly E.;Harries, Kent
    • Smart Structures and Systems
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    • v.4 no.4
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    • pp.391-406
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    • 2008
  • This study attempts to develop a real-time debonding monitoring system for carbon fiber-reinforced polymer (CFRP) strengthened structures by continuously inspecting the bonding condition between the CFRP layer and the host structure. The uniqueness of this study is in developing a new concept and theoretical framework of nondestructive testing (NDT), in which debonding is detected without relying on previously-obtained baseline data. The proposed reference-free damage diagnosis is achieved based on the concept of time reversal acoustics (TRA). In TRA, an input signal at an excitation point can be reconstructed if the response signal measured at another point is reemitted to the original excitation point after being reversed in the time domain. Examining the deviation of the reconstructed signal from the known initial input signal allows instantaneous identification of damage without requiring a baseline signal representing the undamaged state for comparison. The concept of TRA has been extended to guided wave propagations within the CFRP-strengthened reinforced concrete (RC) beams to improve the detectibility of local debonding. Monotonic and fatigue load tests of large-scale CFRP-strengthened RC beams are conducted to demonstrate the potential of the proposed reference-free debonding monitoring system. Comparisons with an electro-mechanical impedance method and an inferred imaging technique are provided as well.

Real Time Current Prediction with Recurrent Neural Networks and Model Tree

  • Cini, S.;Deo, Makarand Chintamani
    • International Journal of Ocean System Engineering
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    • v.3 no.3
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    • pp.116-130
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    • 2013
  • The prediction of ocean currents in real time over the warning times of a few hours or days is required in planning many operation-related activities in the ocean. Traditionally this is done through numerical models which are targeted toward producing spatially distributed information. This paper discusses a complementary method to do so when site-specific predictions are desired. It is based on the use of a recurrent type of neural network as well as the statistical tool of model tree. The measurements made at a site in Indian Ocean over a period of 4 years were used. The predictions were made over 72 time steps in advance. The models developed were found to be fairly accurate in terms of the selected error statistics. Among the two modeling techniques the model tree performed better showing the necessity of using distributed models for different sub-domains of data rather than a unique one over the entire input domain. Typically such predictions were associated with average errors of less than 2.0 cm/s. Although the prediction accuracy declined over longer intervals, it was still very satisfactory in terms of theselected error criteria. Similarly prediction of extreme values matched with that of the rest of predictions. Unlike past studies both east-west and north-south current components were predicted fairly well.

Study on wind-induced vibration response of Jiayuguan wooden building

  • Teng Y. Xue;Hong B. Liu;Ting Zhou;Xin C. Chen;Xiang Zhang;Zhi P. Zou
    • Wind and Structures
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    • v.37 no.3
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    • pp.245-254
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    • 2023
  • In this paper, the wind-induced response of Jiayuguan wooden building (world cultural heritage) in Northwest China was studied. ANSYS finite element software was used to establish four kinds of building models under different working conditions and carry out modal analysis. The simulation results were compared with the field dynamic test results, obtaining the model which reflects the real vibration characteristics of the wooden tower. Time history data of fluctuating wind speed was obtained by MATLAB programming. Time domain method and ANSYS were used to analyze the wind-induced vibration response time history of Jiayuguan wooden building, obtaining the displacement time history curve of the structure. It was suggested that the wind-induced vibration coefficient of Jiayuguan wooden building is 1.76. Through analysis of the performance of the building under equivalent static wind load, the maximum displacement occurs in the three-story wall, gold column and the whole roof area, and the maximum displacement of the building is 5.39 cm. The ratio of the maximum stress value to the allowable value of wood tensile strength is 45 %. The research results can provide reference for the wind resistant design and protection of ancient buildings with similar structure to Jiayuguan wooden tower.

DGA-DNS Similarity Analysis and APT Attack Detection Using N-gram (N-gram을 활용한 DGA-DNS 유사도 분석 및 APT 공격 탐지)

  • Kim, Donghyeon;Kim, Kangseok
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.28 no.5
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    • pp.1141-1151
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    • 2018
  • In an APT attack, the communication stage between infected hosts and C&C(Command and Control) server is the key stage for intrusion into the attack target. Attackers can control multiple infected hosts by the C&C Server and direct intrusion and exploitation. If the C&C Server is exposed at this stage, the attack will fail. Therefore, in recent years, the Domain Generation Algorithm (DGA) has replaced DNS in C&C Server with a short time interval for making detection difficult. In particular, it is very difficult to verify and detect all the newly registered DNS more than 5 million times a day. To solve these problems, this paper proposes a model to judge DGA-DNS detection by the morphological similarity analysis of normal DNS and DGA-DNS, and to determine the sign of APT attack through it, then we verify its validity.

Application of a New NDI Method using Magneto-Optical Film for Inspection of Micro-Cracks (미소균열 탐상을 위한 자기광학소자를 이용한 비파괴탐상법의 제안과 적용)

  • Lee, Hyoung-No;Park, Han-Ju;Shoji, Tetsuo
    • Journal of the Korean Society for Nondestructive Testing
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    • v.21 no.2
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    • pp.197-203
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    • 2001
  • Micro-defects induced by design and production failure or working environments are known as the cause of SCC(Stress Corrosion Cracking) in aged structures. Therefore, the evaluation of structural integrity based on micro-cracks is required not only a manufacturing step but also in-service term. So we introduce a new nondestructive inspection method using the magneto-optical film to detect micro-cracks. The method has some advantage such as high testing speed, real time data acquistion and the possibility of remote sensing by using of a magneto-optical film that takes advantage of the change of magnetic domains and domain walls. This paper introduces the concept of the new nondestructive inspection method using the magneto-optical film, also proves the possibility of this method as a remote testing system under oscillating load considering application on real fields by applying the method to four types of specimens.

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