• 대한조선학회논문집
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• 제54권2호
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• pp.83-89
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• 2017

Numerical simulations of ship resistance have been performed to compare spatial characteristics of Courant number when using structured and unstructured meshes. When Euler scheme was used for time integration, the structured mesh provided a more efficient calculation because the calculation time interval was larger than that of unstructured mesh. The automatic generation of very small meshes in the unstructured mesh was mainly responsible for the limitation of calculation time interval. When local time stepping Euler scheme was applied, however, the ship resistance of unstructured mesh showed a rapid convergence while a slow convergence of ship resistance in structured mesh was caused by the small time interval in bulbous bow.

• 한국응급구조학회지
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• 제22권3호
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• pp.177-187
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• 2018

Purpose: The purpose of the study was to investigate the causes of non-transport in 119 ambulance services and to describe the difference in response time according to the reason for non-transport. Methods: This study analyzed 42,415 non-transport cases out of 123,158 cases using prehospital care reports in a metropolitan city. The Kruskal-Wallis test and the Wilcoxon-Mann-Whitney test were used to 6,857 cases for which time was recorded. Results: Non-transportation in 20${\bigcirc}{\bigcirc}$ comprised 33.1% of all ambulance services. The reason for non-transport were other reasons (25.5%), cancellation (23.8%), and moving to other vehicles (21.7%). There were differences in ambulance service times according to the reasons for non-transport. The activation interval was the longest (2.68 minutes) in the absence of the patient, and the response interval was the shortest (4.96 minutes) among the cancelled case. The total interval was the shortest time (21.97 minutes) in the cancellation cases and the longest time among the death cases (32.23 minutes). Conclusion: It is important to suggest the direction of development of emergency services by identifying the reasons for non-transport by ambulance services and describing the response time according to the reason for non-transport.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2005년도 가을 학술발표논문집 Vol.32 No.2 (2)
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• pp.22-24
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• 2005

RFID 시스템은 전자태그를 상품에 부착하여 리더를 통해 태그를 인식함으로써 상품의 정보 및 위치정보를 추적할 수 있다. 태그 객체의 위치정보는 시간에 따라 궤적 정보가 누적되는 이동체와 유사한 특성을 가지지만 이동체의 위치와 달리 태그의 위치는 리더의 위치로 인식되며 위치보고가 리더의 인식영역 안에서만 이루어지므로 시간축에 평행한 interval의 형태를 나타난다. 태그가 리더의 인식영역에 들어와 나가지 않으면 궤적이 완성되지 않아 리더에 머물고 있는 태그의 궤적을 표현할 수 없으므로 질의 시 이러한 태그를 검색할 수 없다. 시공간 이동체 색인에서는 이러한 태그의 특성을 표현하기 힘들기 때문에 태그의 특성을 고려한 색인이 필요하게 되었다. TPIR-Tree(Time Parameterized Interval R-tree)는 시간 매개변수 간격으로 태그의 interval을 정의하여 리더안에 머무는 태그의 interval을 표현할 수 있다. 그러나 각 interval이 시공간적으로 연결되어 있지 않아 색인 상에서 태그의 궤적을 검색하는 것은 매우 높은 검색 비용을 가지는 단점이 있다. 이 논문에서는 태그 궤적 검색 시 TPIR-Tree의 높은 검색 비용문제를 해결한 $TPIR^{*}$-Tree를 제안한다. 제안된 $TPIR^{*}$-Tree는 색인에서 태그의 궤적 정보를 유지할 수 있도록 하기 위해서 시간적으로 연결되지 않은 각 interval을 연결하기 위한 기법을 제시하고 있다. 또한. interval을 색인에 삽입할 때 연결정보를 유지하기 위해 이전 interval을 효율적으로 검색할 수 있는 방법을 제시하고 있다.

• 물과 미래
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• 제27권4호
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• pp.135-143
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• 1994

본 연구에서는 상수도 급수량의 시간적 변화형태를 조사하고, 수요량의 시간적인 변화량에 통계학적 개념을 이용하여 수요량의 시간적 변화에 관한 확률적 분산모형에 관하여 검정 결정하였다. 연구대상의 지역으로 광주시를 선정하고, 자료로는 2시간 간격으로 측정된 배수지의 수위와 1일 상수도 생산량을 이용하였다. 급수계통의 모형에 통제용적과 연속방정식을 적용하여 2시간별로 변화되는 수요량을 결정하고, 매월 단위로 정리하여 수요수량의 변화를 알 수 있도록 하였다. 2시간별 수요수량은 1일 총 급수량에 대한 백분율로 환산하여 지수화하였으며, 시간별로 변화되는 각각의 급수량은 통계학적으로 추론될 수 있는지 알 수 있도록 분산모형에 관하여 검정을 하였다. 검정결과를 이용하면 시간별 확률 급수량의 산정이나 급수량의 통계학적 해석을 통하여 상수도 시설의 운용에 이용할 수 있는 것으로 판단되었다.

• 한국식품과학회지
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• 제38권3호
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• pp.456-459
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• 2006

본 연구에서는 돈육을 구워서 섭취할 경우 돈육 두께, 가열온도, 가열시간, 뒤집는 간격을 달리하여 구웠을 경우 돈육의 일반 미생물수와 식중독 균의 수준 변화를 분석하였다. 온도조건과 가열시간이 같은 경우 30초 간격으로 뒤집는 것보다 10초 간격으로 뒤집는 경우가 대체적으로 살균 효과가 더 크게 나타났다. $190^{\circ}C$에서 가열할 경우 5 mm 두께의 돈육에서는 10초 간격으로 뒤집는 경우 80초 정도, 30초 간격으로 뒤집는 경우 120초 정도 에서 대부분의 미생물이 사멸하였고, 7 mm 두께에서는 10초 간격으로 뒤집을 경우 약 100초 이상, 30초 간격으로 뒤집을 경우 180초 정도에서 거의 모든 미생물이 사멸하였다. 또한 $220^{\circ}C$에서는 10초 간격으로 뒤집는 경우 80초 정도의 가열로 5, 7 mm 두께의 돈육에서 대부분의 균이 사멸되었고 30초 간격으로 뒤집는 경우 120초 정도에서 거의 사멸하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권2호
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• pp.247-268
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• 2011

Due to the application-specific nature of wireless sensor networks, the sensitivity to such a requirement as data reporting interval varies according to the type of application. Such considerations require an application-specific, parameter tuning paradigm allowing us to maximize energy conservation prolonging the operational network lifetime. In this paper, we propose a reporting interval adaptive, sensor control platform for energy-saving data gathering in wireless sensor networks. The ultimate goal is to extend the network lifetime by providing sensors with high adaptability to application-dependent or time-varying, reporting interval requirements. The proposed sensor control platform is based upon a two phase clustering (TPC) scheme which constructs two types of links within each cluster - namely, direct link and relay link. The direct links are used for control and time-critical, sensed data forwarding while the relay links are used only for multi-hop data reporting. Sensors opportunistically use the energy-saving relay link depending on the user reporting, interval constraint. We present factors that should be considered in deciding the total number of relay links and how sensors are scheduled for sensed data forwarding within a cluster for a given reporting interval and link quality. Simulation and implementation studies demonstrate that the proposed sensor control platform can help individual sensors save a significant amount of energy in reporting data, particularly in dense sensor networks. Such saving can be realized by the adaptability of the sensor to the reporting interval requirements.

• 운동과학
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• 제26권3호
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• pp.223-228
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• 2017

PURPOSE: This study investigated the protective role of high-intensity interval training against acute liver injury induced by D-galactosamine (D-Gal)/lipopolysaccharide (LPS). METHODS: A total of 30 male BALB/c mice aged 5-week were randomly assigned to high-intensity, interval training group (EX, n=10) or control group in cage (Non-EX, n=20) for 10 weeks. Peritoneal injection of D-Gal (700 mg/kg body weight) and LPS ($10{\mu}g/kg$ body weight) was applied to induce acute liver injury, and liver tissue was harvested 6 hours after the injection. Hematoxylin and Eosin (H&E) staining was used for liver histology. Real-time PCR was used to quantify expression of pro-inflammatory and anti-inflammatory genes in the liver. RESULTS: The liver histology showed that D-Gal/LPS treatment resulted in hepatic damage and increased number of neutrophils in conjunction with upregulation of hepatic IL-6 and $TNF-{\alpha}$ mRNAs and downregulation of hepatic $PPAR{\alpha}$ and SIRT1 mRNAs. On the other hand, the 10-week interval training resulted in a significant improvement in cardiorespiratory fitness assessed as run time to exhaustion on a treadmill. In addition, the interval training attenuated the D-Gal/LPS-induced liver damage and increased number of neutrophil in conjunction with downregulation of hepatic IL-6 and $TNF-{\alpha}$ mRNAs and upregulation of hepatic $PPAR{\alpha}$ and SIRT1 mRNAs. CONCLUSIONS: This study suggests that high-intensity interval training suppresses the D-Gal and LPS-induced acute liver damage and inflammatory responses.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회 논문집
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• pp.194-198
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• 2005

Although the rainstorm causes local damage on large scale, it is difficult to predict the movement of the rainstorm exactly. In order to reduce the rainstorm damage of the rainstorm, it is necessary to analyze the path of the rainstorm using various statistical methods. In addition, efficient time interval of rainfall observation for the analysis of the rainstorm movement can be derived by applying various statistical methods to rainfall data. In this study, the rainstorm tracking using statistical method is performed for various types of rainfall data. For the tracking of the rainstorm, the methods of temporal distribution, inclined Plane equations, and cross correlation were applied for various types of data including electromagnetic rainfall gauge data and AWS data. The speed and direction of each method were compared with those of real rainfall movement. In addition, the effective time interval of rainfall observation for the analysis of the rainstorm movement was also investigated for the selected time intervals 10, 20, 30, 40, 50, and 60 minutes. As a result, the absolute relative errors of the method of inclined plane equations are smaller than those of other methods in case of electromagnetic rainfall gauges data. The absolute relative errors of the method of cross correlation are smaller than those of other methods in case of AWS data. The absolute relative errors of 30 minutes or less than 30 minutes are smaller than those of other time intervals.

• 터널과지하공간
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• 제15권1호
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• pp.61-70
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• 2005

본 연구에서는 장대 터널 화재시 연기의 거동 특성 파악과 피난연락갱의 설치간격을 결정하기 위하여 축소 모형실험을 실시하여 그 결과를 분석하였다. Froude 상사를 기본으로 1/50로 축소하여 20 m의 모형 터널을 제작하여 실험하였다. 터널 내 20 MW의 화재가 발생 하였을 경우 CO의 전파 속도와 거리와의 관계를 이용하여 피난연락갱의 위치를 검토한 결과, 승객들의 피난시간은 6분이 적절하나 화재시 승객들의 심리적 상태를 고려하여 1분여의 지체시간을 생각하면 실제의 피난시간은 5분 정도가 될 것이므로 최대 간격 250m로 대인용 피난연락갱을 설치하는 것이 바람직할 것으로 판단되었다.

• 한국전문물리치료학회지
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• 제17권3호
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• pp.59-67
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• 2010

Mortality rates from stroke have been declining. Because of this, more people are living with residual disability. Rehabilitation plays an important role in functional recovery of stroke survivors. In stroke rehabilitation, early prediction of the obtainable level of functional recovery is desirable to deliver efficient care, set realistic goals, and provide appropriate discharge planning. The purpose of this study was to identify predictors of functional outcome after stroke using inpatient rehabilitation as measured by Functional Independence Measure (FIM) total scores. Correlation and stepwise multiple regression analyses were performed on data collected retrospectively from two-hundred thirty-five patients. More than moderate correlation was found between FIM total scores at the time of hospital admission and FIM total scores at the time of discharge from the hospital. Significant predictors of FIM at the time of discharge were FIM total scores at the time of hospital admission, age, and onset-admission interval. The equation was as follows: expected discharge FIM total score = $76.12+.62{\times}$(admission FIM total score)-$.38{\times}(age)-.15{\times}$(onset-admission interval). These findings suggest that FIM total scores at the time of hospital admission, age, and onset-admission interval are important determinants of functional outcome.