• Title/Summary/Keyword: Early discharge

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A study about diagnosis of PD signal using by Fuzzy algorithm (퍼지 알고리즘을 이용한 부분방전 신호의 진단에 관한 연구)

  • Kim Jinsu;Park Jaewan;Park Keon-Jun;Oh Sung-Kwun;Kim Yong K.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.11a
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    • pp.440-443
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    • 2005
  • In this paper, we introduce about a new class to analysis of partial discharge signal based on Fuzzy model. We can early diagnose life of power cable through detection of partial discharge signal. However, partial discharge signal detector is difficult because of partial discharge signal is very non-linear. Also, it is very difficult work that separate partial discharge signal from noise. We constructed partial discharge accumulation detection system that use Labview for detection of non-linear partial discharge signal. And analyzed partial discharge signal that is detected by Labview system utilizing Fuzzy model.

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Safe Discharge Criteria After Curative Gastrectomy for Gastric Cancer

  • Guner, Ali;Kim, Ki Yoon;Park, Sung Hyun;Cho, Minah;Kim, Yoo Min;Hyung, Woo Jin;Kim, Hyoung-Il
    • Journal of Gastric Cancer
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    • v.22 no.4
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    • pp.395-407
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    • 2022
  • Purpose: This study aimed to investigate the relationship between clinical and laboratory parameters and complication status to predict which patients can be safely discharged from the hospital on the third postoperative day (POD). Materials and Methods: Data from a prospectively maintained database of 2,110 consecutive patients with gastric adenocarcinoma who underwent curative surgery were reviewed. The third POD vital signs, laboratory data, and details of the course after surgery were collected. Patients with grade II or higher complications after the third POD were considered unsuitable for early discharge. The performance metrics were calculated for all algorithm parameters. The proposed algorithm was tested using a validation dataset of consecutive patients from the same center. Results: Of 1,438 patients in the study cohort, 142 (9.9%) were considered unsuitable for early discharge. C-reactive protein level, body temperature, pulse rate, and neutrophil count had good performance metrics and were determined to be independent prognostic factors. An algorithm consisting of these 4 parameters had a negative predictive value (NPV) of 95.9% (95% confidence interval [CI], 94.2-97.3), sensitivity of 80.3% (95% CI, 72.8-86.5), and specificity of 51.1% (95% CI, 48.3-53.8). Only 28 (1.9%) patients in the study cohort were classified as false negatives. In the validation dataset, the NPV was 93.7%, sensitivity was 66%, and 3.3% (17/512) of patients were classified as false negatives. Conclusions: Simple clinical and laboratory parameters obtained on the third POD can be used when making decisions regarding the safe early discharge of patients who underwent gastrectomy.

Study on Development of Insulation Degradation Diagnosis System for Electrical Transformer (변압기 절연열화진단 시스템개발에 관한 고찰)

  • 김이곤;유권종;김서영;조용섭;박봉서;최시영;심상욱
    • Proceedings of the Korean Institute of IIIuminating and Electrical Installation Engineers Conference
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    • 2001.11a
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    • pp.139-144
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    • 2001
  • Insulation aging diagnosis system provides early warning regarding electrical equipment defect. Early warning is very important in that it can avoid great losses resulting from unexpected shutdown of the production line. Since relations of insulation aging and partial discharge dynamics are non-linear, it is very difficult to provide early warning in an electrical equipment. In this paper, we propose the design method of insulation aging diagnosis system that use a magnetic wave and acoustic signal to diagnoses an electrical equipment. Proposed system measures the partial discharge on-line from DAS(Data Acquisition System) and acquires 2D patterns from analyzing it. For filtering the noise contained in sensor signals we used ICA algorithms. Using this data, design of the neuro-fuzzy model that diagnoses an electrical equipment is investigated. Validity of the new method is asserted by numerical simulation.

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Development of Insulation Degradation Diagnosis System for Electrical Plant

  • Kim, Yi-Gon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.1
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    • pp.33-37
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    • 2002
  • Insulation aging diagnosis system provides early warning regarding electrical equipment defects. Early warning is very important in that it can avoid great losses resulting from unexpected shutdown of the production line. Since relations of insulation aging and partial discharge dynamics are non-linear. it is very difficult to provide early warning in an electrical equipment. In this paper, we propose the design method of insulation aging diagnosis system that use a electromagnetic wave and acoustic signal to diagnose an electrical equipment. Proposed system measures the partial discharge on-line from DAS(Data Acquisition System and acquires 2D patterns from analyzing it. For filtering the noise contained in sensor signals we used ICA algorithms. Using this data, we design of the neuro-fuzzy model that diagnoses an electrical equipment and is investigated in this paper. Validity of the new method is asserted by numerical simulation.

A Lifetime Prediction and Diagnosis of Partial Discharge Mechanism Using a Neural Network (신경회로망을 이용한 부분방전 메카니즘의 진단과 수명예측)

  • Lee, Young-Sang;Kim, Jae-Hwan;Kim, Sung-Hong;Lim, Yun-Suk;Jang, Jin-Kang;Park, Jae-Jun
    • Proceedings of the KIEE Conference
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    • 1998.11c
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    • pp.910-912
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    • 1998
  • In this paper, we purpose automatic diagnosis in online, as the fundamental study to diagnose the partial discharge mechanism and to predict the lifetime, by introduction a neural network. In the proposed method, Ire use acoustic emission sensing system and calculate a fixed quantity statistic operator by pulse number and amplitude. Using statically operators such as the center of gravity(G) and the gradient of the discharge distribute(C), we analyzed the early stage and the middle stage. the fixed quantity statistic operators are learned by a neural network. The diagnosis of insulation degradation and a lifetime prediction by the early stage time are achieved. On the basis of revealed excellent diagnosis ability through the neural network learning for the patterns during degradation, it was proved that the neural network is appropriate for degradation diagnosis and lifetime prediction in partial discharge.

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A Study on Improvement of Discharge Pressure Measurement of Indoor Fire Hydrant System (옥내소화전설비의 방수압 측정 개선에 관한 연구)

  • Min, Se-Hong;Jeong, Sang-Ho
    • Fire Science and Engineering
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    • v.26 no.3
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    • pp.67-72
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    • 2012
  • Indoor fire hydrant facilities and sprinkler system applied to the initial fire suppression for buildings' interior fire are pivotal roles in extinguishing the fire in the early stage. The roof shapes of recent buildings combined with distinctive local culture and design are being constructed. Distinctive roof forms, i.e. gable roof buildings are planned and built, View point planning with the roof gardens also restricts measurement of the discharge pressure on the indoor fire hydrant, It is too narrow to gauge the water discharge pressure with deploying up to 5 water hoses. To resolve these problems improvement for the efficient management of indoor fire hydrant system and the effective early stage flame extinguishment is suggested.

The Measurement of Partial Discharge to Diagnose Defects in High-Voltage Insulating Materials (고전압 절연재료의 결함진단을 위한 부분방전측정)

  • 이정빈;정우성;김태성
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1994.11a
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    • pp.134-138
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    • 1994
  • According to request of insulating materials for high-voltage, recently we make effort not only to develop diagnostic skills of aging state but also to discover defects in insulating material in the early. Especially, partial discharge has been actively studied as a non-destructive diagnosis technique and very useful method. Because the method of partial discharge measurement has damages less than other conventional diagnosis technique. In this paper, the characteristics of partial discharge was investigated and studied on many samples with voids. In order to adapt as a practical diagnosis technique, it is studied on the characteristics of partial discharge and insulation breakdown in the high voltage. We suggest that partial discharge measurement can be used in order to diagnose defects in high-voltage insulation materials.

Variations of Calcium, Bicarbonate, and Cation in the Lacustrine Zone by Interannual Differences in Up-River Discharge

  • An, Kwang-Guk;Lee, Jae-Hoon;Han, Jeong-Ho
    • Korean Journal of Ecology and Environment
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    • v.43 no.4
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    • pp.471-476
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    • 2010
  • Monthly up-river discharge in the riverine zone analysis resulted in large interannual variations and differences in calcium ($Ca^{2+}$), bicarbonate ($HCO_3^-$), and cations in the lacustrine zone (Lz) of Daecheong Reservoir during the wet year (Wy, 1993) vs. dry year (Dy, 1994). Total up-river discharge in the Wy was four times that of the Dy, and the up-river discharge in July~August of the Wy was eight times greater than that of same period of Dy. Annual water retention time in the Lz showed large difference between the two years. Water residence time (WRT) was minimum when the up-river discharge peaked, whereas the WRT was maximum when the up-river discharge was at minimal condition. This peak discharge from the up-river on early July reduced residence time in the Lz on mid-July~late July. Monthly pattern, based on data of May~November, was similar between the two years, but, but mean retention time in the Wy was 50 days shorter than in the Dy. Such hydrology, up-river discharge, and WRT reduced $Ca^{2+}$, $HCO_3^-$, and cations in the Lz. At low up-river discharge in Wy during April~May, the cation content of Ca+Mg+Na+K averaged 1.17meq $L^{-1}$ (range=1.09-1.26meq $L^{-1}$), but as the up-river discharge increased suddenly, the values decreased. Seasonal fluctuations of $Ca^{2+}$ showed exactly same pattern with bicarbonate ion of $HCO_3^-$. The minimum $Ca^{2+}$ (0.03meq $L^{-1}$) was occurred in the early August of wet year and coincided with the minimum $HCO_3^-$. These results suggest that the magnitude of variation in $Ca^{2+}$, bicarbonate, and cations in the lacustrine zone is directly determined by the peak magnitude of up-river discharge. The magnitude of up-river discharge determined water retention time and the magnitude of ionic dilution in the lacustrine zone, resulting in functional changes of the ecosystem.

The Surface Modification of Electrode with Solid Electrolyte Interphase for Hybrid Supercapacitor

  • Choi, Min-Geun;Kang, Soo-Bin;Yoon, Jung Rag;Lee, Byung Gwan;Jeong, Dae-Yong
    • Journal of Electrical Engineering and Technology
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    • v.10 no.3
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    • pp.1102-1106
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    • 2015
  • A hybrid supercapacitor (HS) is an energy storage device used to enhance the low weight energy density (Wh/kg) of a supercapacitor. On the other hand, a sudden decrease in capacity has been pointed out as a reliability problem after many charge/discharge cycles. The reliability problem of a HS affects the early aging process. In this study, the capacity performance of a HS was observed after charge/discharge. For detailed analysis of the initial charge/discharge cycles, the charge and discharge curve was measured at a low current density. In addition, a solid electrolyte interphase (SEI) layer was confirmed after the charge/discharge. A HC composed of a lithium titanate (LTO) anode and active carbon cathode was used. The charge/discharge efficiency of the first cycle was lower than the late cycles and the charge/discharge rate was also lower. This behavior was induced by SEI layer formation, which consumed Li ions in the LTO lattice. The formation of a SEI layer after the charge/discharge cycles was confirmed using a range of analysis techniques.

Relationship between Readiness for Hospital Discharge and Self-care of Liver Transplant Recipients: A Single-center Prospective Study (간이식 환자의 퇴원 준비도와 자가간호와의 관계: 종단적 연구)

  • Park, SunBok;Choi, JiYeon;Joo, DongJin;Chu, SangHui
    • Journal of Korean Biological Nursing Science
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    • v.24 no.4
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    • pp.243-252
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    • 2022
  • Purpose: The purpose of this longitudinal study was to identify the relationship between the readiness for hospital discharge and self-care changes in an early stage of liver transplantation after discharge. Methods: Data of 75 liver transplant recipients within one year of surgery from a transplantation center from May 2019 to May 2020 were collected for this study. Their readiness for discharge was measured before discharge. Self-care after liver transplantation was evaluated at one week, one month, and three months of discharge at outpatient visits. Linear mixed model was used to evaluate the statistical relationship. Results: The readiness for hospital discharge was significantly higher when the caregiver was a spouse (p=.027), with fewer post-transplantation days (p=.027), absence of acute rejection (p=.004), or high self-efficacy (p<.001). As a result of the linear mixed model analysis, the higher the discharge readiness score, the higher the self-care score (β=0.29, p<.001). However, after three months, their self-care had decreased regardless of their level of readiness for hospital discharge compared to one week after discharge. Conclusion: Improving the readiness before discharge is essential to enhance self-care. Also, active intervention at 3 months of discharge should be performed to check and promote their long-term self-care.