• Title/Summary/Keyword: 최저속도

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Time-Frequency Analysis of Dispersive Waves in Structural Members Under Impact Loads (시간-주차수 신호처리를 이용한 구조용 부재에서의 충격하중에 의한 분석 파동의 해석)

  • Jeong, H.;Kwon, I.B.;Choi, M.Y.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.20 no.6
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    • pp.481-489
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    • 2000
  • A time-frequency analysis method was developed to analyze the dispersive waves caused by impact loads in structural members such as beams and plates. Stress waves generated by ball drop and pencil lead break were recorded by ultrasonic transducers and acoustic emission (AE) sensors. Wavelet transform (WT) using Gabor function was employed to analyze the dispersive waves in the time-frequency domain, and then to find the arrival time of the waves as a function of frequency. The measured group velocities in the beam and the plate were compared with the predictions based on the Timoshenko beam theory and Rayleigh-Lamb frequency equations, respectively. The agreements were found to be very good.

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Blood Pressure Estimation for Development of Wearable small Blood Pressure Monitor Fusion Algorithm Analysis (웨어러블 초소형 혈압계 개발을 위한 혈압 추정 융합 알고리즘 분석)

  • Kim, Seon-Chil;Kwon, Chan-Hoe;Park, You-rim
    • Journal of the Korea Convergence Society
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    • v.10 no.11
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    • pp.209-215
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    • 2019
  • The most important personal health care in digital health care is a very important issue mainly for chronic diseases. Therefore, it is important to develop a simple wearable device for real-time health management. Existing blood pressure estimation wearable devices use PPG characteristics to analyze PTT and propose blood pressure estimation algorithms. However, the influencing factors of the algorithm such as the reproducibility of PPG, whether to apply various PTTs, and variables generated from the physical differences of the measurers are actually very complex. Therefore, in this study, the correlation between PTT, SBP, and DBP was analyzed, and it was designed to use PPG sensors for device miniaturization. The blood pressure estimation algorithm took into account differences in PPG, heart rate, and personal variables.

Analysis of the Convergence Algorithm Model for Estimating Systolic and Diastolic Blood Pressure Based on Two Photoplethysmography (두 개의 광전용적맥파 기반의 수축기 혈압과 이완기 혈압 추정 융합 알고리즘 모델 분석)

  • Kim, Seon-Chil;Cho, Sung-Hyoun
    • Journal of the Korea Convergence Society
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    • v.10 no.8
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    • pp.53-58
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    • 2019
  • Recently, product research has been continuously conducted to enhance accessibility to blood pressure measurement for the purpose of healthcare for the chronic patient. In previous studies, electrocardiogram (ECG) and photoelectric pulse wave (PPG) are analyzed to calculate systolic and diastolic blood pressure. The problem is the development of analysis algorithms for accuracy and reproducibility. In this study, in the development stage of a micro blood pressure measuring device, the size of the device was reduced and the measurement method was simplified, while the algorithm was to extract systolic blood pressure (SBP) using only two PPGs and obtain diastolic blood pressure (DBP). The difference value of PPG, DF_P, is inversely related to SBP, and has a proportional relationship with DBP, which can be leaked by algorithm, and DBP can be tracked through SBP.

Path selection algorithm for multi-path system based on deep Q learning (Deep Q 학습 기반의 다중경로 시스템 경로 선택 알고리즘)

  • Chung, Byung Chang;Park, Heasook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.1
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    • pp.50-55
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    • 2021
  • Multi-path system is a system in which utilizes various networks simultaneously. It is expected that multi-path system can enhance communication speed, reliability, security of network. In this paper, we focus on path selection in multi-path system. To select optimal path, we propose deep reinforcement learning algorithm which is rewarded by the round-trip-time (RTT) of each networks. Unlike multi-armed bandit model, deep Q learning is applied to consider rapidly changing situations. Due to the delay of RTT data, we also suggest compensation algorithm of the delayed reward. Moreover, we implement testbed learning server to evaluate the performance of proposed algorithm. The learning server contains distributed database and tensorflow module to efficiently operate deep learning algorithm. By means of simulation, we showed that the proposed algorithm has better performance than lowest RTT about 20%.

스웨덴 연금개혁 고찰에 따른 시사점

  • Choe, Su-Ji
    • Journal of Teachers' Pension
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    • v.2
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    • pp.243-274
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    • 2017
  • 최근 우리나라는 유례를 찾아볼 수 없을 정도로 고령화 진행속도가 빠른 나라로 공적 연금재정과 연금제도의 지속가능성에 대한 관심이 증가하고 있는 상황이다. 따라서 사회보장제도 개혁에 성공한 국가로 잘 알려진 스웨덴 사례를 통해 사학연금제도의 유지 및 장기적 재정안정화에 시사하는 바를 찾고자 한다. 스웨덴 정부는 인구고령화에 따른 위험에 상대적으로 안전한 '명목확정기여(Notional Defined Contribution)'방식을 도입하여, 개인의 연금계좌에 연금보험료를 적립하여 수급시점에 본인이 부담한 보험료 상당액을 연금으로 돌려받을 수 있도록 운영하고 있다. 또한 경제상황이 예상 수준보다 침체되고 연금 재정수지가 악화될 경우 이와 연계하여 자동으로 연금가입자의 부담금을 높이고, 지출되는 급여액을 감소시키는 '자동재정균형장치(Automatic Balancing System)'를 도입하였다. 상기와 같이 기여와 급여를 명확하게 연계시키는 스웨덴의 명목확정기여 방식의 연금제도는 장기적 재정안정은 물론이고 안정적인 연금 급여를 제공한다고 평가되고 있다. 스웨덴은 연금개혁 후 확정기여(DC)제도로 전환하여 장기적인 제도 안정성을 추구하지만 사학연금은 확정급여(DB)제도를 유지하면서 급여수준의 하향조정과 보험료율을 점진적으로 상향시켜 재정안정성을 확보하는 것이 가장 큰 차이점이다. 스웨덴의 연금제도와 같이 공적연금의 틀을 유지하면서 사적연금의 장점을 최대로 수용한 명목확정기여 방식의 연금제도를 도입한다면 급격한 재정부담 없이 장기적으로 지속가능한 연금재정 안정화에 기여할 수 있을 것이다. 일견 스웨덴의 정치, 경제상황 및 문화적 특성 차이로 인해 스웨덴의 연금제도 방식을 획일적으로 사학연금제도에 적용하는 것은 불가능하다. 경제상황을 고려한 기여와 급여의 연계 강화를 개혁의 기본방향으로 설정한 스웨덴의 사례를 벤치마킹하여 사학연금 또한 거시경제상황과 조화를 이루는 제도개선 및 자동안정장치를 마련해 보는 것도 고려해 봄직 하다. 지속적으로 스웨덴 및 연금제도 선진 국가들의 연금개혁안을 재검토하여 사학연금제도에 현실적으로 적용할 수 있는 방안과 시사점들을 찾는 노력이 필요할 것이다.

The study of elemental depth distribution at the Jinheung catchment sediment core (진흥제 퇴적물 시추코아시료의 깊이별 원소 축적 변화 연구)

  • Yoon, Yoon Yeol;Yang, Dong Yoon;Nahm, Wook Hyun;Cho, Soo Young;Lee, Kil Yong
    • Analytical Science and Technology
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    • v.19 no.1
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    • pp.45-49
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    • 2006
  • Drilled sediment core was acquired from Jinheung catchment which was located at Jeollabuk-do Jeongeup city. Elements concentration variation were studied by neutron activation analysis using sediment core by divided 1 cm depth interval. The concentration of major element such as Na, K were increased but Fe was decrease with depth. Minimum elements concentration and particle size were observed at 17 cm depth. This depth was considered 1969 year which was great dry year recorded from the rain fall data and the sedimentation rate was calculated $0.197g{\cdot}cm^{-2}{\cdot}year^{-1}$.

Empirical Rock Strength Logging in Boreholes Penetrating Sedimentary Formations (퇴적암에 대한 경험적 암석강도 추정에 대한 고찰)

  • Chang, Chan-Dong
    • Geophysics and Geophysical Exploration
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    • v.7 no.3
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    • pp.174-183
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    • 2004
  • The knowledge of rock strength is important in assessing wellbore stability problems, effective sanding, and the estimation of in situ stress field. Numerous empirical equations that relate unconfined compressive strength of sedimentary rocks (sandstone, shale, and limestone, and dolomite) to physical properties (such as velocity, elastic modulus, and porosity) are collected and reviewed. These equations can be used to estimate rock strength from parameters measurable with geophysical well logs. Their ability to fit laboratory-measured strength and physical property data that were compiled from the literature is reviewed. While some equations work reasonably well (for example, some strength-porosity relationships for sandstone and shale), rock strength variations with individual physical property measurements scatter considerably, indicating that most of the empirical equations are not sufficiently generic to fit all the data published on rock strength and physical properties. This emphasizes the importance of local calibration before one utilizes any of the empirical relationships presented. Nonetheless, some reasonable correlations can be found between geophysical properties and rock strength that can be useful for applications related to wellhole stability where haying a lower bound estimate of in situ rock strength is especially useful.

Fire and explosion risk of metal particles with the same mean diameter (동일 입경 조건에서의 금속분진의 화재.폭발위험성)

  • Han, Ou-Sup;Lee, Keun-Won
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2011.04a
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    • pp.376-377
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    • 2011
  • 최근 Mg, Mg-Al합금, Al은 전자제품의 케이스, 차량의 휠 등의 신소재로서 활용성이 높아 사회적 수요가 급격히 늘고 있다. 이러한 수요 증가와 함께 관련 사업장에서는 취급 과정에서 폭발사고 위험성이 높아지고 있는데, 2010년도에는 국내 사업장에서 금속 분진에 의한 폭발사고가 4건이 발생하여 인명 및 재산피해가 발생하였다. Mg-Al합금의 폭발사고로 사망 1명과 부상 2명이 발생하였으며, Al분진의 폭발사고는 3건이 발생하여 사망 2명과 부상 3명의 인명피해로 이어졌다. 사고조사를 통하여 사업장에서의 금속분진에 대한 위험인식이 매우 낮은 것이 유사 사고가 반복되고 있는 가장 큰 이유로 알려지고 있는데, 이는 금속분진에 대한 부족한 안전기술정보와 밀접한 관련이 있다. 본 연구에서는 Mg, Mg-Al합금, Al등을 취급하는 관련 사업장에서 폭발사고 예방대책을 위하여 활용할 수 있는 폭발특성에 관한 안전기술정보 제공을 목적으로 하고 있다. 보다 구체적으로는 사고 다발 금속분진에 대한 위험성 이해에 도움을 될 수 있도록 동일 입경분포 조건에서의 위험성을 정량적으로 평가하였으며, 이를 위하여 각 금속분진의 동일 입경 조건에서 최대폭발압력, 폭발하한계 등의 폭발위험성 데이터를 실험적으로 조사 하였다. 조사한 시료는 평균입경 200 mesh의 Al, Mg, Mg-Al(60:40 wt%)로서 입도분석기(Beckman Coulter LSI 3320)를 사용하여 측정한 결과 평균입경은 약 $155{\mu}m$로 나타났다. Al분진의 농도변화에 따른 폭발압력을 조사한 결과, 최대폭발압력(Pmax)은 7.9 bar였으며 최대폭발압력상승속도 (dt/dP)max는 농도 $1500[g/m^3]$에서 322 [bar/s]로 최대가 되었으며 폭발 하한계(LEL)는 $70[g/m^3]$가 얻어졌다. 반면에 순수한 Mg의 LEL은 $30[g/m^3]$였으며 Pmax는 6.4 bar, (dP/dt)max는 100 [bar/s]가 얻어졌다. 이러한 결과로부터 LEL이 낮은 Mg는 Al보다 연소성이 큰 것으로 나타났으며, Al은 화염을 유지하는데 필요한 최저 열분해 가스농도를 확보하는데 Mg보다도 고농도의 분진이 필요함을 알 수 있었다. 또한 Mg-Al(60:40 wt%)의 LEL은 $50g/m^3$이었으며 Pmax는 9.4 bar, (dP/dt)max는 472 [bar/s]가 얻어졌다. 이러한 결과로부터 Mg-Al(60:40 wt%)합금의 연소성을 살펴보면 착화하기 쉬운 정도는 Mg와 Al의 성분비에 의해 변화하지만 Mg와 Al의 중간 정도로 나타나는 반면, Pmax는 Mg 또는 Al의 단독 물질 성분보다도 매우 큰 것을 알 수 있었다. 본 연구를 통하여 단일 성분의 Mg와 Al보다도 Mg와 Al이 일정 비율로 구성된 Mg-Al합금의 경우가 화재폭발 위험성이 증가한다는 사실을 알 수 있었으며, 이와 같은 폭발위험특성 자료를 활용하여 분진의 보관, 취급, 폐기 등의 지속적 관리가 필요하며 사업장 특성에 적합한 안전대책을 통한 사고예방대책이 요구된다.

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One Dimensional Heat Flow Equation Incorporated with the Vertical Water Flow in Paddy Soils I. An Analytical Solution and It's Application to Tow Different Paddy Soils with Different Percolation Rates (답토양(沓土壤)에 있어서 물 이동(移動)이 복합(複合)된 일차원(一次元) 열이동방정식(熱移動方程式)에 관(關)하여 I. 분석해(分析解)와 투수속도(透水速度)가 다른 두 답토양(沓土壤)에 대(對)한 적용(適用))

  • Jung, Yeong-Sang;Kim, Lee-Yul;Im, Jeong-Nam
    • Korean Journal of Soil Science and Fertilizer
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    • v.14 no.4
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    • pp.179-184
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    • 1982
  • To describe a mathematical heat transfer model in saturated paddy soils, an analytical solution of the heat flow equation incorporated with the heat transfer by mass flow of water was obtained under the assumptions: 1) the diurnal (or annual) changes in temperature at a depth follow harmonic curves, 2) the temperature at the infinite depth be constant and 3) the temperatures of soil and water at the one depth be identical. The calculation of thermal diffusivities of the soil is possible with the known values of the physical parameters of each component in the soil matrix (heat capacity, density and porosity), percolation rate and the minimum and maximum temperatures at two different depths. The calculated thermal diffusivities using the solution were $9.5cm^2/hr$ for the loam soil with the percolation rate of 0.88cm/day and $13.9cm^2/hr$ for the sandy loam soil with the percolation rate of 2.64 cm/day.

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Estimation of Changes in Full Bloom Date of 'Niitaka' Pear Tree with Global Warming (기온 상승에 따른 '신고' 배나무의 만개일 변동 예측)

  • Han, Jeom-Hwa;Cho, Kwang-Sik;Choi, Jang-Jun;Hwang, Hae-Sung;Kim, Chang-Gook;Kim, Tae-Choon
    • Horticultural Science & Technology
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    • v.28 no.6
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    • pp.937-941
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    • 2010
  • This study investigated the effect of global warming on full bloom date (FBD) of 'Niitaka' pear ($Pyrus$ $pyrifolia$ Nakai) tree by calculating the development stage index by hourly temperatures recorded at Pear Research Station, estimating the distribution of average FBD and the change of FBD according to temperature rising by integrating development rate at 67 locations in Korea Meteorological Administration site. Development stage index of 'Niitaka' pear tree was 0.9593 at Naju location. Differences between full bloom dates observed at Cheonan region and predictions by development stage index were 0-7 days, and matched year was 35.3%. FBDs of 67 locations were distributed from April 4 to May 28. When yearly temperature was raised 1, 2, 3, 4, and $5^{\circ}C$ at 67 locations, predicted FBD was accelerated at most of the locations. However, FBD decelerated at south coast locations from $3^{\circ}C$ rise and did not bloom at 'Gosan', 'Seogwipo', and 'Jeju' locations from $4^{\circ}C$ rise. When monthly temperature was raised 1, 3, and $5^{\circ}C$ at 67 locations, predicted FBD was the most accelerated at March temperature rise, and followed by April, February, January and December. Therefore, global warming will cause acceleration of the full bloom date at pear production areas in Korea.