• Title/Summary/Keyword: Safe discharge

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A Study on the Issues of Division of Costs - Focusing on Incoterms 2010 - (정형거래조건별 비용분담의 쟁점에 관한 연구 - Incoterms 2010을 중심으로 -)

  • PARK, Sung-Cheul
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.75
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    • pp.49-69
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    • 2017
  • Making a international contract of sale is not a simple work. International Trade parties(seller and buyer) may choose trade terms such as FOB or CIF to simplify their contracts and avoid misunderstanding of international commercial practice. Incoterms is the international rules for the interpretation of the trade terms, and firstly regulated by the ICC in 1936. The latest version is Incoterms 2010. Incoterms 2010 governs certain responsibilities between the seller and the buyer under the international contract of sale. Moreover, Incoterms 2010 provides the standard of division of costs relating to contract of carriage. But we should note that Incoterms 2010 is not the part of contract of carriage. The writer points out that there is no consistence principle in distributing the special costs under the contract of carriage like unloading cost from the transport vehicle. To avoid the dispute between the parties, it is more safe for international traders to fully and completely understand on the customs and practice of carriage of goods. Incoterms 2010 provides more detailed method of delivery of goods than CISG and RAFTD. Concerning the method of delivery of goods, CISG and RAFTD simply provide that the seller shall place the goods at the discharge of buyers. The writer suggests the basic principles to allocate the special costs of delivery of goods according to the trade terms under Incoterms 2010.

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Burr hole drainage using urokinase for treatment of subacute subdural hematoma (아급성기 경막하 혈종 치료시 천공술 후 urokinase를 이용한 혈종배액술)

  • Kim, Min-Su;Kim, Seong-Ho;Kim, Oh-Lyong
    • Journal of Yeungnam Medical Science
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    • v.32 no.1
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    • pp.8-12
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    • 2015
  • Background: Enlargement of subdural hematomas is relatively rapid in subacute stage of hematoma with clinical deterioration, which eventually necessitates surgery. The purpose of this study is to investigate the feasibility and safety of burr hole drainage using urokinase for management of patients with subacute subdural hematoma (SASDH). Methods: Nine patients with SASDH were treated by burr hole drainage using urokinase. Under local anesthesia a catheter was inserted into the hematoma through a burr hole. Burr hole drainage was followed by hematoma thrombolysis with instillation of urokinase (10,000 units) every 12 hours. Drainage was discontinued when a significant decrease of hematoma was observed on cranial computed tomography. Results: The patients' median age was 70 years (range, 62-87). The median Glasgow Coma Scale score before surgery was 15 (range, 11-15). Drainage was successfully performed in all patients. All patients had Glasgow Outcome Scale scores of 5 at discharge. There was no surgery-related morbidity or mortality. Conclusion: A burr hole drainage using urokinase could be a safe, feasible and effective minimally invasive method with low morbidity in treatment of selected patients with SASDHs.

Modeling of Chlorine Disinfectant Decay in Seawater (해수에서의 소독제 거동 예측 모델에 관한 연구)

  • Han, Jihee;Sohn, Jinsik
    • Journal of Korean Society of Water and Wastewater
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    • v.30 no.1
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    • pp.9-17
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    • 2016
  • Disinfectant/oxidation process is a crucial process in water treatment for supplying safe drinking water. Chlorination is still widely used for water treatment area due to its effectiveness on microbial inactivation and economic feasibility. Recently, disinfection concern in marine environment is increasing, for example, movement of hazardous marine organism due to ballast water, marine environmental degradation due to power plant cooling water discharge, and increase of the amount of disinfectant in the offshore plant. It is needed to conduct the assessment of disinfectant behavior and the development of disinfectant prediction model in seawater. The appropriate prediction model for disinfectant behavior is not yet provided. The objective of the study is to develop chlorine decay model in seawater. Various model types were applied to develop the seawater chlorine decay model, such as first order decay model, EPA model, and two-phase model. The model simulation indicated that chlorine decay in seawater is influenced by both organic and inorganic matter in seawater. While inorganic matter has a negative correlation with the chlorine decay, organic matter has a positive correlation with the chlorine decay.

A Novel SOC Estimation Method for Multiple Number of Lithium Batteries Using Deep Neural Network (딥 뉴럴 네트워크를 이용한 새로운 리튬이온 배터리의 SOC 추정법)

  • Khan, Asad;Ko, Young-hwi;Choi, Woojin
    • Proceedings of the KIPE Conference
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    • 2019.11a
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    • pp.70-72
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    • 2019
  • For the safe and reliable operation of Lithium-ion batteries in Electric Vehicles (EVs) or Energy Storage Systems (ESSs), it is essential to have accurate information of the battery such as State of Charge (SOC). Many kinds of different techniques to estimate the SOC of the batteries have been developed so far such as the Kalman Filter. However, when it is applied to the multiple number of batteries it is difficult to maintain the accuracy of the estimation over all cells due to the difference in parameter value of each cell. Moreover the difference in the parameter of each cell may become larger as the operation time accumulates due to aging. In this paper a novel Deep Neural Network (DNN) based SOC estimation method for multi cell application is proposed. In the proposed method DNN is implemented to learn non-linear relationship of the voltage and current of the lithium-ion battery at different SOCs and different temperatures. In the training the voltage and current data of the Lithium battery at charge and discharge cycles obtained at different temperatures are used. After the comprehensive training with the data obtained with a cell resulting estimation algorithm is applied to the other cells. The experimental results show that the Mean Absolute Error (MAE) of the estimation is 0.56% at 25℃, and 3.16% at 60℃ with the proposed SOC estimation algorithm.

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Evaluation of Postoperative Nutrition Support after an Ivor-Lewis Esophagectomy in Patients with Esophageal Cancer (식도암 환자에서 아이보-루이스 식도절제술 시행 후 영양지원 평가)

  • Park, Su Jin;Lee, Young Mi;Lee, Yu Jeung
    • Korean Journal of Clinical Pharmacy
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    • v.24 no.4
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    • pp.240-247
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    • 2014
  • Objective: Undernutrition is common amongst esophageal cancer patients and therefore appropriate nutrition support is critical. Nevertheless, the effectiveness of enteral nutrition (EN) versus parenteral nutrition (PN) is still controversial. The aim of this study was to investigate the effect of EN and PN on the nutritional state and the length of hospital stay for patients who underwent an Ivor-Lewis (IL) esophagectomy. Method: A retrospective clinical analysis was performed that utilized the electronic medical records of patients who underwent IL esophagectomy during a 3-year period between January 2010 and December 2012 at a tertiary teaching hospital located in Seoul, Korea. The EN group and PN group were analyzed by comparing the nutrition supply, postoperative complications, length of hospital stay, and weight variation. Results: After an IL esophagectomy, the complication rate between the EN group and PN group was insignificant and the length of hospital stay was significantly shorter for the PN group compared to the EN group (14 vs. 16 days, respectively; p<0.001). At the time of discharge, those in the PN group lost less weight postoperatively (p=0.003). Conclusion: PN may be considered as safe nutrition support for esophageal cancer patients who underwent an esophagectomy.

Backwater Computation in River Channel by the Runoff-Frequency (유출변화(流出変化)에 의한 배수현상(背水現象) 해석(解析))

  • Suh, Seung Duk;Suk, Ki Hong
    • Current Research on Agriculture and Life Sciences
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    • v.2
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    • pp.77-90
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    • 1984
  • Results investigated backwater phenomena at Geumho river basin to get a basic data for Daegu basin area development plan are as the follows. 1. It is a A=0.35 L 1.848 (r = 0.97), the relationship between basin area and river length at Geumho river. 2. Dividing the rainfall of Geumho river basin as two parts, a first half rainfall and a second half rainfall, the amount of a first half rainfall appeared 57.5% comparison with total rainfall. 3. The maximum flood discharge appeared 12 hrs. continuous rainfall rather than 24 hrs. continuous rainfall. 4. Results investigated backwater phenomena from Geumho II bridge to chungchun appeared the rising water level of 69 cm, 55 cm, 44 cm, at section III in the starting point water level of 1.8 m, 2.4 m, 4.0 m respectively. 5. Results investigated backwater phenomena by the flood water level appeared a similar form. There was a average rising water level of 30 cm at section III. At the results of this computation, it was confirmed that section III was affected the highest backwater phenomena among the observed river reaches in Geumho river. In addition, this paper should be given a assistance to decide a economic and safe section in construction of bank of river and estuary barrage.

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A Novel SOC Estimation Method for Multiple Number of Lithium Batteries Using a Deep Neural Network (딥 뉴럴 네트워크를 이용한 새로운 리튬이온 배터리의 SOC 추정법)

  • Khan, Asad;Ko, Young-Hwi;Choi, Woo-Jin
    • The Transactions of the Korean Institute of Power Electronics
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    • v.26 no.1
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    • pp.1-8
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    • 2021
  • For the safe and reliable operation of lithium-ion batteries in electric vehicles or energy storage systems, having accurate information of the battery, such as the state of charge (SOC), is essential. Many different techniques of battery SOC estimation have been developed, such as the Kalman filter. However, when this filter is applied to multiple batteries, it has difficulty maintaining the accuracy of the estimation over all cells owing to the difference in parameter values of each cell. The difference in the parameter of each cell may increase as the operation time accumulates due to aging. In this paper, a novel deep neural network (DNN)-based SOC estimation method for multi-cell application is proposed. In the proposed method, DNN is implemented to determine the nonlinear relationships of the voltage and current at different SOCs and temperatures. In the training, the voltage and current data obtained at different temperatures during charge/discharge cycles are used. After the comprehensive training with the data obtained from the cycle test with a cell, the resulting algorithm is applied to estimate the SOC of other cells. Experimental results show that the mean absolute error of the estimation is 1.213% at 25℃ with the proposed DNN-based SOC estimation method.

The Effect of Inpatient Elderly Patients' with Chronic Diseases on Fall Experience (입원 노인환자의 만성질환 보유가 낙상경험에 미치는 영향)

  • Park, Ju Hyee;Suh, Won Sik
    • Korea Journal of Hospital Management
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    • v.26 no.4
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    • pp.29-37
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    • 2021
  • Purpose: The purpose of this study is to identify the characteristics and factors affecting falls among elderly inpatients with chronic diseases based on the data from the discharge damage depth survey of the Korea Disease Control and Prevention Agency(KDCA) from 2014 to 2018. Method: The study selected elderly inpatients aged over 65 who were hospitalized(n=1,173). Their data were analyzed after being assigned to either a fall group(KSCD, W00-W19) or a non-fall group. Frequency analysis, cross-tabulation analysis, and binary logistic regression analysis were conducted, using SPSS 28. Results: According to the analysis on category of fall and non-fall group were statistically significant difference in age and having chronic diseases. Based on the binary logistic regression analysis of factors affecting falls, The risk of falls was 1.058 times higher with age, and E11-E14 and I63 as main diagnostic codes, the risk of falls was 2.049 times and 2.437 times higher. Conclusion: It is necessary to develop customized educational manuals and muscle exercise programs considering the characteristics of chronic diseases and to create a safe hospital room environment, and this result is expected to be used as basic data for fall prevention education and manual development for elderly inpatients with chronic diseases.

Development of Aging Diagnosis Device Through Real-time Battery Internal Resistance Measurement

  • Kim, Sang-Bum;Lee, Sang-Hyun
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.2
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    • pp.129-135
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    • 2022
  • Currently, the rapid growth of electric vehicles and the collection and disposal of waste batteries are becoming a social problem. The purpose of this paper is to propose a fast and efficient battery screening method through a safe inspection and storage method according to the collection and storage of waste batteries of electric vehicles. In addition, as the resistance inside the waste battery increases, an instantaneous voltage drop occurs, and there is a risk of overcharging and overdischarging compared to the initial state of the battery. Accordingly, there are great difficulties in operation, so the final goal of this study is to develop a device for diagnosing aging through real-time battery internal resistance measurement. Final result As a result of simulation of the internal resistance measurement test circuit through external impedance (AC), the actual simulation value was 0.05Ω, RS = Vrms / Irms => Vrms = 8.0036mV, Irms = 162.83Ma. Substitute the suggested method. The result was calculated as Rs = 0.0495Ω. It is possible to measure up to 64 impedances inside the aging diagnostic equipment that enables real-time monitoring of the developed battery cells, and the range can be changed according to the application method.

Design of Seawater Rechargeable Battery Package and BMS Module for Marine Equipment (해양기기 적용을 위한 해수이차전지 패키지 및 BMS 모듈 설계)

  • Kim, Hyeong-Jun;Lee, Kyung-Chang;Son, Ho-Jun;Park, Shin-Jun;Park, Cheol-Su
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.21 no.3
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    • pp.49-55
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    • 2022
  • The design of a battery package and a BMS module for applications using seawater rechargeable batteries, which are known as next-generation energy storage devices, is proposed herein. Seawater rechargeable batteries, which are currently in the initial stage of research, comprise primarily components such as anode and cathode materials. Their application is challenging owing to their low charge capacity and limited charge/discharge voltage and current. Therefore, we design a method for packaging multiple cells and a BMS module for the safe charging and discharging of seawater rechargeable batteries. In addition, a prototype seawater rechargeable battery package and BMS module are manufactured, and their performances are verified by evaluating the prevention of overcharge, overdischarge, overcurrent, and short circuit during charging and discharging.