• Title/Summary/Keyword: Long-term Time Series

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Sea Level Variations in the East Asian Marginal Seas by Topex/Poseidon Altimeter Data (Topex/Poseidon 고도계자료를 이용한 동북아시아 연변해역의 해수면 변화 연구)

  • Yoon, Hong-Joo;Kim, Sangwoo;Lee, Moon-Ock;Park, Il-Heum
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2001.10a
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    • pp.300-303
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    • 2001
  • The first 7 years of altimeter data from the TOPEX/POSEIDON (T/P) were analyzed to study the surface circulation and its variability in the East Asian Marginal Seas. Long term averaged T/P sea level time series data where compared with in situ sea level measurements from a float-operated type tide gauge around of south Korea and Japan. T/P data are a large contaminated by 60-day tidal aliasing effect, very near the alias periods of M2 and S2. When this 60-day effect is removed, the data agree well with the tide gauge data with 4.6 cm averaged RMS difference. The T/P derived sea level variability reveals clearly the well-known, strong current-topography such as Kuroshio. The T/P mean sea level of North Pacific (NP) was higher than Yellow Sea (YS) and East Sea (ES). The T/P sea level valibility, with strong eddy and meandaring, was the largest in eastern part of Japan and this variability was mainly due to the influence of bottom topography in Kuroshio Extention area.

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Effect of Education on Infection Control for Multidrug Resistant Organism on Infection Control by NICU Nurses (다제내성균 감염관리 교육이 신생아 중환자실 간호사의 감염관리에 미치는 영향)

  • Lim, Jihee;Bang, Kyung-Sook
    • Child Health Nursing Research
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    • v.22 no.3
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    • pp.172-181
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    • 2016
  • Purpose: This study was conducted to examine the effect of education on infection control for multidrug resistant organism (MDRO). Methods: One group pre-post time series design was used. Infection control education for MDRO infection was provided to nurses working in the Neonatal Intensive Care Unit (NICU). Knowledge and recognition were evaluated before and after education. Hand hygiene compliance, MDRO isolation rate and central line-associated bloodstream infection (CLABSI) rate were used as outcome variables. Data from 45 nurses was used for analysis. Results: General knowledge about MDRO increased (p=.011). Responses to questions about image of MDRO and MDRO management tended to change in a positive direction (p=.046). Hand hygiene compliance was 100% at pre-test, 79.5% during education period and 98.4% at post-education period. MDRO isolation rate was 6.83 per 1,000 patient days at pre-test, 10.24 during education period and 6.68 at post-education period. CLABSI rate was 3.76 per 1,000 central line days at pre-test, 6.84 during education period and 4.71 at post-education period. Conclusion: Findings indicate that the education program is effective in improving knowledge about MDRO in NICU nurses. However, more reliable indicators should be used to determine long-term effects.

HTPB Propellant Ageing Property and HFC Base Shelf-Life Evaluation Method (HTPB 추진제 노화 특성 및 HFC 기반 수명 평가 기법)

  • Cho, Wonho;Westerlund, M.;Ryoo, Baek-Neung;Jung, Gyoo-Dong;Yoo, Ji-Chang
    • Proceedings of the Korean Society of Propulsion Engineers Conference
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    • 2017.05a
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    • pp.148-153
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    • 2017
  • During natural ageing of HTPB propellant undergoes a series of slow physico-chemical degradation reactions. By using accelerated ageing conditions it is possible to simulate the material behaviour at different time-temperature conditions especially focused on the in-service conditions. Ageing behaviour of HTPB propellant were investigated using HFC(Micro-Heat Flow Calorimeter) is universal technique for measuring the rate of slow chemical and physical processes in long-term storage.

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EVALUATION OF DATA QUALITY OF PERMANENT GPS STATIONS IN SOUTH KOREA

  • Park, Kwan-Dong;Kim, Ki-Nam;Lim, Hyung-Chul;Park, Pil-Ho
    • Journal of Astronomy and Space Sciences
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    • v.19 no.4
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    • pp.367-376
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    • 2002
  • As of September 2002, there are more than 60 operational permanent Global Positioning System (GPS) stations in South Korea. Their data are being used for a variety of purposes: geodynamics, geodesy, real-time navigation, atmospheric science, and geography. Especially, many of the sites are reference stations for DGPS (Differential GPS). However, there has been no comprehensive and qualitative analysis published to evaluate the data quality. In this study, we present preliminary results of our assessment of the permanent GPS sites in South Korea. We have analyzed the multi-path characteristics of each station using a quality-checking software package called TEQC. Another multipath analysis tool based on post-fit phase residuals was used to check the repeating patterns and the amount of the multipath at each site. The long-term stability of each station was analyzed using the root-mean-square (RMS) error of the estimated site positions for one year, which enabled us to evaluate the mount stability. In addition, the number of cycle slips at each site was derived by TEQC. Based on these series of tests, we compared the stability and data quality of permanent GPS stations in South Korea.

Particle Separation Characteristics and Harvesting Efficiency of Spirulina platensis Using Micro-bubble (미세기포를 이용한 Spirulina platensis의 입자 부상분리 특성 및 수거효율)

  • Gwak, Gyu-Dong;Kim, Mi-Sug;Kwak, Dong-Heui
    • Journal of Korean Society of Water and Wastewater
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    • v.27 no.5
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    • pp.621-629
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    • 2013
  • Since algae had been issued an environmental problem, water blooms, deepened due to increase of retention water basin in Korea as well as a biomass resource for producing biofuel, this study conducted a series of experiments for Spirulina platensis using the flotation process with micro-bubble. To elevate utilization of collected-algae, this study focused on omitting or minimizing coagulant's doses as changing a cultivation period and condition affected on physical property change of algae. Two coagulants, PAC and Chitosan, were used to test the collecting rate of algae and the result found no difference between two rates. For flotation experiments without adding the coagulant, dried algae weight (passing 14 days after cultivation for 20 days) detected high separation efficiency 98.2 % and it (passing 7 days after long-term cultivation for 28 days) presented good separation efficiency 91.9 %. Chlorophyll's separation efficiency showed a similar tendency with the case of the dried algae weight. In endogeny conditions, a light source and a carbon source were not considerably affected on the flotation separation efficiency. Thus, this study confirms that algae biomass may be collected without the coagulant during the endogeny condition period after enough cultivation time, 3 weeks.

Solar Energy Prediction using Environmental Data via Recurrent Neural Network (RNN을 이용한 태양광 에너지 생산 예측)

  • Liaq, Mudassar;Byun, Yungcheol;Lee, Sang-Joon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2019.10a
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    • pp.1023-1025
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    • 2019
  • Coal and Natural gas are two biggest contributors to a generation of energy throughout the world. Most of these resources create environmental pollution while making energy affecting the natural habitat. Many approaches have been proposed as alternatives to these sources. One of the leading alternatives is Solar Energy which is usually harnessed using solar farms. In artificial intelligence, the most researched area in recent times is machine learning. With machine learning, many tasks which were previously thought to be only humanly doable are done by machine. Neural networks have two major subtypes i.e. Convolutional neural networks (CNN) which are used primarily for classification and Recurrent neural networks which are utilized for time-series predictions. In this paper, we predict energy generated by solar fields and optimal angles for solar panels in these farms for the upcoming seven days using environmental and historical data. We experiment with multiple configurations of RNN using Vanilla and LSTM (Long Short-Term Memory) RNN. We are able to achieve RSME of 0.20739 using LSTMs.

Analysis of long-term climate variability by extending hydrologic time series (수문 시계열 확장을 통한 장기 기후 변동성 분석)

  • Kim, Taereem;Kim, Hanbeen;Jung, Younghun;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.308-308
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    • 2019
  • 지구상 해양, 대기 및 대륙 상호간의 연속적인 물의 거동을 나타내는 물의 순환의 주요 과정 중 하나인 유량 자료는 경년부터 수십년간의 다양한 기상학적 변동성을 내포하며 해당 지역의 수문기상학적 특성을 반영한다. 이러한 기상학적 변동성 중에서 비교적 긴 시간 주기를 나타내는 저주파 진동은 전지구적 기후변화의 장기적 영향을 나타내며 해수면 상승, 홍수 또는 가뭄과 같은 극한 수문사상을 나타내는 매우 주요한 지표로 활용되고 있지만 관측된 수문 시계열의 짧은 자료길이로 인하여 통계적 분석의 신뢰성에 한계를 보여왔다. 따라서 과거 수문 시계열의 확장으로 인하여 부재의 영역으로 남아있던 자료 기간의 한계가 보완되면 보다 정확하고 신뢰도 있는 분석이 가능할 것이다. 나무나이테를 활용한 고기후 복원 등의 연구가 증가하고 있지만 공학 분야에서 이를 실제로 활용한 연구는 아직 미비하다. 따라서 본 연구에서는 과거 기후의 정보를 바탕으로 복원된 수문 시계열을 활용하여 수문 시계열에 내재된 장기 기후 변동성을 통계적으로 분석하기 위한 문헌들을 조사하고, 장기적인 시간 흐름에 내재된 잠재적인 경향 및 변동성을 통계적 분석을 파악하고자 한다. 이를 위해 주어진 수문 시계열에 내재된 저주파 신호을 추출하기 위한 경험적 모드분해법을 활용하여 수문 자료에 내재된 장기 변동성을 추출하였으며, 산업화 이전부터 연장된 수문 시계열의 공학적 활용성을 분석하고자 한다.

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COVID-19 Lockdown, Earnings Manipulation and Stock Market Sensitivity: An Empirical Study in Iraq

  • ALJAWAHERI, Bushra Abdul Wahhab;OJAH, Hassnain Kadhem;MACHI, Ahmed Hussein;ALMAGTOME, Akeel Hamza
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.707-715
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    • 2021
  • This article examines the potential impact of the Covid-19 Lockdown on earnings manipulation and stock market sensitivity to earnings announcements. It also explores the effects of earnings manipulation after the COVID-19 outbreak on the share price sensitivity to the earnings disclosures. The study uses a quantitative method to analyze the financial data consisting of 87 firms listed on the Iraq Stock Exchange for the period from 2018 to 2020, which constitutes a total of (174 observations). We used Ohlson (1995) model to estimate financial market reaction and sensitivity to earnings manipulation fluctuations and accounting information. The results show that companies practice earnings manipulation to maintain earnings over a time series, which means a negative impact of earnings manipulation on all earnings measures' value relevance (EPS, BVS, and CFS). Accordingly, earnings manipulation negatively influences investor behavior in the financial market, based mainly on financial reporting. The value relevance of financial reports has also decreased because of the COVID-19 outbreak and related economic Lockdown. These results reflect a long-term adverse impact of earnings manipulation on investor behavior and financial statements reliability.

HTPB Propellant Ageing Property and HFC Base Shelf-life Evaluation Method (HTPB 추진제 노화 특성 및 HFC 기반 수명 평가 기법)

  • Cho, Wonho;Westerlund, M.;Ryoo, Baekneung;Jung, Gyoodong;Yoo, Jichang
    • Journal of the Korean Society of Propulsion Engineers
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    • v.22 no.5
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    • pp.59-65
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    • 2018
  • During natural aging, hydroxyl-terminated polybutadiene(HTPB) propellant undergoes a series of slow physico-chemical degradation reactions. By using accelerated ageing conditions it is possible to simulate the material behavior at different time-temperatures focusing on in-service conditions. Aging behaviors of HTPB propellant are investigated using HFC(heat flow calorimeter), a universal technique for measuring the rate of slow chemical and physical processes in long-term storage.

An Integrated Modeling Approach for Predicting Potential Epidemics of Bacterial Blossom Blight in Kiwifruit under Climate Change

  • Kim, Kwang-Hyung;Koh, Young Jin
    • The Plant Pathology Journal
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    • v.35 no.5
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    • pp.459-472
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    • 2019
  • The increasing variation in climatic conditions under climate change directly influences plant-microbe interactions. To account for as many variables as possible that may play critical roles in such interactions, the use of an integrated modeling approach is necessary. Here, we report for the first time a local impact assessment and adaptation study of future epidemics of kiwifruit bacterial blossom blight (KBB) in Jeonnam province, Korea, using an integrated modeling approach. This study included a series of models that integrated both the phenological responses of kiwifruit and the epidemiological responses of KBB to climatic factors with a 1 km resolution, under the RCP8.5 climate change scenario. Our results indicate that the area suitable for kiwifruit cultivation in Jeonnam province will increase and that the flowering date of kiwifruit will occur increasingly earlier, mainly due to the warming climate. Future epidemics of KBB during the predicted flowering periods were estimated using the Pss-KBB Risk Model over the predicted suitable cultivation regions, and we found location-specific, periodic outbreaks of KBB in the province through 2100. Here, we further suggest a potential, scientifically-informed, long-term adaptation strategy using a cultivar of kiwifruit with a different maturity period to relieve the pressures of future KBB risk. Our results clearly show one of the possible options for a local impact assessment and adaptation study using multiple models in an integrated way.