• Title/Summary/Keyword: R-R interval

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Pool Boiling Heat Transfer Coefficients of R1234yf on Various Enhanced Surfaces (열전달 촉진 표면에서 R1234yf의 풀 비등 열전달계수)

  • Lee, Yohan;Kang, Dong Gyu;Seo, Hoon;Jung, Dongsoo
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.25 no.3
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    • pp.143-149
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    • 2013
  • In this work, nucleate pool boiling heat transfer coefficients (HTCs) of R134a and R1234yf are measured, on flat plain, 26 fpi low fin, Turbo-B, Turbo-C and Thermoexcel-E surfaces. All data are taken at the liquid pool temperature of $7^{\circ}C$, on a small square copper plate ($9.53mm{\times}9.53mm$), at heat fluxes from $10kW/m^2$ to $200kW/m^2$, with an interval of $10kW/m^2$. Test results show that nucleate boiling HTCs of all enhanced surfaces are greatly improved, as compared to that of a plain surface. Nucleate pool boiling HTCs of R1234yf are very similar to those of R134a, for the five surfaces tested.

Sequential prediction of TBM penetration rate using a gradient boosted regression tree during tunneling

  • Lee, Hang-Lo;Song, Ki-Il;Qi, Chongchong;Kim, Kyoung-Yul
    • Geomechanics and Engineering
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    • v.29 no.5
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    • pp.523-533
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    • 2022
  • Several prediction model of penetration rate (PR) of tunnel boring machines (TBMs) have been focused on applying to design stage. In construction stage, however, the expected PR and its trends are changed during tunneling owing to TBM excavation skills and the gap between the investigated and actual geological conditions. Monitoring the PR during tunneling is crucial to rescheduling the excavation plan in real-time. This study proposes a sequential prediction method applicable in the construction stage. Geological and TBM operating data are collected from Gunpo cable tunnel in Korea, and preprocessed through normalization and augmentation. The results show that the sequential prediction for 1 ring unit prediction distance (UPD) is R2≥0.79; whereas, a one-step prediction is R2≤0.30. In modeling algorithm, a gradient boosted regression tree (GBRT) outperformed a least square-based linear regression in sequential prediction method. For practical use, a simple equation between the R2 and UPD is proposed. When UPD increases R2 decreases exponentially; In particular, UPD at R2=0.60 is calculated as 28 rings using the equation. Such a time interval will provide enough time for decision-making. Evidently, the UPD can be adjusted depending on other project and the R2 value targeted by an operator. Therefore, a calculation process for the equation between the R2 and UPD is addressed.

Dust Filtration Characteristics of Pleated Filter Bags Installed in CYBAGFILTER® (주름필터를 적용한 CYBAGFILTER®의 여과성능 특성)

  • Park, Young-Ok;Roh, Hak-Jae;Rhee, Young-Woo
    • Journal of Korean Society for Atmospheric Environment
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    • v.24 no.4
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    • pp.483-491
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    • 2008
  • The filtration characteristics of $CYBAGFILTER^{(R)}$ unit with pleated filter bags were evaluated by comparing the performance of the unit with the lower part of cyclone shape with that of the unit with conventional lower part. Results from the test were also compared with those from the previous research with the $CYBAGFILTER^{(R)}$ in which round filter bags were installed. $CYBAGFILTER^{(R)}$ is the unit which combines the centrifugal separation mechanism and the fabric filtration mechanism in a single unit for efficient removal of particulate matters. The pleated filter bags are made of pleated fabric with an extension of the filtration area about 3 times compared with the conventional round filter bags. The results from the test using pleated filter bags showed an overall collection efficiency of over 99.9% regardless of the shape of lower part installed. When the lower part of cyclone shape was installed, the filter cleaning interval was over 2 times longer compared with that when the conventional lower part was installed. At the same conditions of filtration velocity and filter pressure drop, the $CYBAGFILTER^{(R)}$ with the lower part of cyclone shape, in which the pleated filter bags are installed, can be operated with a flow rate of round 3 times higher than that with conventional round filter bags.

The Detection of PVC based Rhythm Analysis and Beat Matching (리듬분석과 비트매칭을 통한 조기심실수축(PVC) 검출)

  • Jeon, Hong-Kyu;Cho, Ik-Sung;Kwon, Hyeog-Soong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.11
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    • pp.2391-2398
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    • 2009
  • Premature ventricular contractions are the most common of all arrhythmias and may cause more serious situation in some patients. Therefore, the detection of this arrhythmia becomes crucial in the early diagnosis and prevention of possible life threatening cardiac diseases. Most of the algorithms detecting PVC reported in literature is not always feasible due to the presence of noise and P wave making the detection difficult, and the process being time consuming and ineffective for real time analysis. To solve this problem, a new approach for the detection of PVC is presented based rhythm analysis and beat matching in this paper. For this purpose, the ECG signals are first processed by the usual preprocessing method and R wave was detected. The algorithm that decides beat type using the rhythm analysis of RR interval and beat matching of QRS width is developed. The performance of R wave and PVC detection is evaluated by using MIT-BIH arrhythmia database. The achieved scores indicate sensitivity of 99.74%, positive predictivity of 99.81% and sensitivity of 93.91%, positive predictivity of 96.48% accuracy respectively for R wave and PVC detection.

Feature Extraction based on Auto Regressive Modeling and an Premature Contraction Arrhythmia Classification using Support Vector Machine (Auto Regressive모델링 기반의 특징점 추출과 Support Vector Machine을 통한 조기수축 부정맥 분류)

  • Cho, Ik-sung;Kwon, Hyeog-soong;Kim, Joo-man;Kim, Seon-jong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.2
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    • pp.117-126
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    • 2019
  • Legacy study for detecting arrhythmia have mostly used nonlinear method to increase classification accuracy. Most methods are complex to process and manipulate data and have difficulties in classifying various arrhythmias. Therefore it is necessary to classify various arrhythmia based on short-term data. In this study, we propose a feature extraction based on auto regressive modeling and an premature contraction arrhythmia classification method using SVM., For this purpose, the R-wave is detected in the ECG signal from which noise has been removed, QRS and RR interval segment is modelled. Also, we classified Normal, PVC, PAC through SVM in realtime by extracting four optimal segment length and AR order. The detection and classification rate of R wave and PVC is evaluated through MIT-BIH arrhythmia database. The performance results indicate the average of 99.77% in R wave detection and 99.23%, 97.28%, 96.62% in Normal, PVC, PAC classification.

A RFID Tag Indexing Scheme Using Spatial Index (공간색인을 이용한 RFID 태그관리 기법)

  • Joo, Heon-Sik
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.7
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    • pp.89-95
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    • 2009
  • This paper proposes a tag indexing scheme for RFID tag using spatial index. The tag being used for the inventory management and the tag's location is determined by the position of readers. Therefore, the reader recognizes the tag, which is attached products and thereby their positions can be traced down. In this paper, we propose hTag-tree( Hybrid Tag index) which manages RFID tag attached products. hTag-tree is a new index, which is based on tag's attributes with fast searching, and this tag index manages RFID tags using reader's location. This tag index accesses rapidly to tags for insertion, deletion and updating in dynamic environment. This can minimize the number of node accesses in tag searching comparing to previous techniques. Also, by the extension of MER in present tag index, it is helpful to stop the lowering of capacity which can be caused by parent node approach. The proposed index experiment deals with the comparison of tag index. Fixed Interval R-tree, and present spatial index, R-tree comparison. As a result, the amount of searching time is significantly shortened through hTag-tree node access in data search. This shows that the use of proposed index improves the capacity of effective management of a large amount of RFID tag.

The Prediction of Optimal Pulse Pressure Drop by Empirical Static Model in a Pulsejet Bag Filter (경험모델을 이용한 충격기류식 여과집진기의 적정 탈진압력 예측)

  • Suh, Jeong-Min;Park, Jeong-Ho;Lim, Woo-Taik;Kang, Jum-Soon;Cho, Jae-Hwan
    • Journal of Environmental Science International
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    • v.21 no.5
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    • pp.613-622
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    • 2012
  • A pilot-scale pulse-jet bagfilter was designed, built and tested for the effects of four operating conditions (filtration velocity, inlet dust concentration, pulse pressure, and pulse interval time) on the total system pressure drop, using coke dust from a steel mill factory. Two models were used to predict the total pressure drop according to the operating conditions. These model parameters were estimated from the 180 experimental data points. The empirical model (EM) with filtration velocity, areal density, inlet dust concentration, pulse interval time and pulse pressure shows the best correlation coefficient (R=0.971) between experimental data and model predictions. The empirical model was used as it showed higher correlation coefficient (R=0.971) compared to that of the Multivariate linear regression(MLR) (R=0.961). The minimum pulse pressure predicted by empirical model (EM) was 5kg/$cm^2$.

Characteristics of Heart Rate Variability Derived from ECG during the Driver's Wake and Sleep States (운전자 졸음 및 각성 상태 시 ECG신호 처리를 통한 심장박동 신호 특성)

  • Kim, Min Soo;Kim, Yoon Nyun;Heo, Yun Seok
    • Transactions of the Korean Society of Automotive Engineers
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    • v.22 no.3
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    • pp.136-142
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    • 2014
  • Distinct features in heart rate signals during the driver's wake and sleep states could provide an initiative for the development of a safe driving systems such as drowsiness detecting sensor in a smart wheel. We measured ECG from health subjects ($23.5{\pm}2.5$ in age) during the wake and drowsiness states. The proposed method is able to detect R waves and R-R interval calculation in the ECG even when the signal includes in abnormal signals. Heart rate variability(HRV) was investigated for the time domain and frequency domains. The STD HR(0.029), NN50(0.044) and VLF power(0.0018) of the RR interval series of the subjects were significantly different from those of the control group (p < 0.05). In conclusion, there are changes in heart rate from wake to drowsiness that are potentially to be detected. The results in our study could be useful for the development of drowsiness detection sensors for effective real-time monitoring.

Spliting polios of interval R-Trees for tracking RFID tag objects (전자태그 객체의 추적을 위한 간격 R-트리의 분할 정책)

  • Lee, Se-Ho;Ahn, Sung-Woo;Hong, Bong-Hee;Ban, Chae-Hoon;Lim, Duk-Sung
    • Proceedings of the Korean Information Science Society Conference
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    • 2005.07b
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    • pp.40-42
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    • 2005
  • RFID(Radio Frequency Identification)는 자동 인식 데이터 수집 장치의 한 분야로써 GPS장치를 장착한 차량과 같이, RFID 태그(전자태그)를 상품에 부착하여 인식, 추적할 수 있다. 이러한 전자태그 객체는 시간에 따라 경로 정보가 누적되는 이동체와 유사한 특성을 가진다. 그러나 기존의 이동체 색인과 달리 태그 객체의 위치는 판독기의 위치로 인식되며 위치보고가 판독기의 인식영역 안에서만 이루어지므로 보고 주기를 예측할 수 없다. 기존의 이동체 색인에서 전자태그의 특성을 표현하기 힘들기 때문에 전자태그의 특성을 고려란 색인이 필요하게 되었다. 최근 전자태그의 특성을 고려한 색인인 TPIR-Tree(Time parameterized Interval R-Tree)가 발표되었다. 그러나 이 색인은 기존 공간 색인에서의 균등분할 기법을 사용하여 위치보고가 시간의 순서를 가지는 전자태그의 특성을 고려하지 못하여 과거노드의 저장효율이 좋지 못하다. 이 논문에서는 TPIR-Tree의 저장효율 및 검색 성능 향상을 위해서 시간의 순서에 따라 위치를 보고하는 전자태그 객체의 특성을 고려하여 분할축 선정 기법 및 시간축 분할시 비균등 분할정책을 제안한다.

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Voltage Amplitude Control of Square-Wave VSIs with an R-L Load (R-L부하를 가진 구형파 VSI의 전압크기 제어)

  • Kim Kyung-Won;Hong Soon-Chan;Yoo Jong-Gul;Kim Sang-Kyun;Park Chae-Woon
    • Proceedings of the KIPE Conference
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    • 2001.07a
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    • pp.479-482
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    • 2001
  • This paper proposes a modified $\alpha$ conduction mode for controlling the output voltage magnitude of three-phase square-wave VSIs with an R-L load. From the viewpoint of both power capacity and switching losses, three-phase square-wave inverters are now used in most high power systems. When the square-wave VSI is driven with $\alpha$ conduction mode to control the magnitude of output voltages, interval over than half period is operated with $180^{\circ}$ conduction mode and the other interval with $120^{\circ}$ conduction mode. In $120^{\circ}$ conduction mode operation, two output terminals are connected to DC supply and the third one remains open. The potential of this open terminal will depend on the load characteristics and is unpredictable except the case of pure resistive loads. To cope this problem, we propose the modified α conduction mode.

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