• Title/Summary/Keyword: Long-Term Experiment

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Long term drag reduction experiments of surfactant solutions in a pilot-scaled system (Pilot규모에서 계면활성제용액의 장기 마찰저항감소에 관한 연구)

  • Park, S.R.;Lee, S.N.;Moon, S.H.;Yoon, H.K.
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.9 no.3
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    • pp.401-409
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    • 1997
  • The long term drag reduction characteristics of Habon-G solution were investigated in the KIER pilot-scaled district heating simulation system. Test runs were implemented for 30 days without interruption. Pressure drop, flow rate and power consumption of surfactant (Habon-G) solution were regularly observed and compared with those of plain water. The experimental results suggest that the surfactant can be effectively applied to the DH transmission system for considerably long period wthout significant loss of its drag reduction capability even though the concentration of the additive may gradually decrease in the first stage of the experiment because of absorption.

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Prediction of Short and Long-term PV Power Generation in Specific Regions using Actual Converter Output Data (실제 컨버터 출력 데이터를 이용한 특정 지역 태양광 장단기 발전 예측)

  • Ha, Eun-gyu;Kim, Tae-oh;Kim, Chang-bok
    • Journal of Advanced Navigation Technology
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    • v.23 no.6
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    • pp.561-569
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    • 2019
  • Solar photovoltaic can provide electrical energy with only radiation, and its use is expanding rapidly as a new energy source. This study predicts the short and long-term PV power generation using actual converter output data of photovoltaic system. The prediction algorithm uses multiple linear regression, support vector machine (SVM), and deep learning such as deep neural network (DNN) and long short-term memory (LSTM). In addition, three models are used according to the input and output structure of the weather element. Long-term forecasts are made monthly, seasonally and annually, and short-term forecasts are made for 7 days. As a result, the deep learning network is better in prediction accuracy than multiple linear regression and SVM. In addition, LSTM, which is a better model for time series prediction than DNN, is somewhat superior in terms of prediction accuracy. The experiment results according to the input and output structure appear Model 2 has less error than Model 1, and Model 3 has less error than Model 2.

Antifungal Performance of Hwangtoh Mortars with Natural Antifungal Substances (천연 항균물질을 이용한 황토모르타르의 항곰팡이 성능 평가)

  • So, Hyoung-Seok;Kim, Jung-Woo;Lee, Bo-Ram;So, Seung-Young
    • Journal of the Korea Concrete Institute
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    • v.27 no.1
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    • pp.75-83
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    • 2015
  • This study discusses the long-term antifungal effect and antifungal performance of Hwangtoh mortars with various natural antifungal substances on five types of mold: Chaetomium globosum, Aspergillus niger, Aureobasidium pullulans, Gliocladium virens, and Penicillium pinophilum, which can be easily detected in the indoors and outdoors of buildings in damp environments. The antifungal performances of various natural antifungal substances extracted from Marjoram, Phytoncide, Thyme, Ginkgo leaves, and Chitosan (oligosaccharide) were investigated on the five types of mold, as a basic experiment. Using the natural antifungal substances selected for the basic experiment, antifungal mortars were made, and their antifungal performance and long-term antifungal effects were also investigated. The results clearly showed that the marjoram extract and their associated mortars had excellent antifungal performance. Also, their long-term antifungal effects were outstanding and at an equivalent level to those of the mortars with organic chemical antifungal agents. The optimum addition rate of the marjoram extract in the mortar was 5% by mass of binder. It was also shown that the phytoncide extract in the mortar needed an addition rate of more than 10% according to the mass of binder, considering the long-term antifungal effect and the antifungal performance.

Seasonal Changes of Microflora in Paddy Soil with Long-term Application of Organic Matter (유기물(有機物) 연용답토양(連用畓土壤)에 있어서 미생물상(微生物相)의 계절적(季節的) 변화(變化))

  • Lee, Sang-Bok;Choi, Yoon-Hee;Lee, Kyung-Bo;Yoo, Chul-Hyun;Rhee, Gyeong-Soo
    • Korean Journal of Soil Science and Fertilizer
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    • v.28 no.4
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    • pp.356-362
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    • 1995
  • This experiment was carried out to investigate the effects on the seasonal population change of microflora of long-term application of organic matters in Fluvio-Alluvial plain of Jeonbug series. As organic matters, rice straw and compost of 5 and 10ton/ha, which were applied with the different nitrogen fertilizer level of 0, 150kg/ha into the soil 15cm deep, respectively. A number of total aerobic bacteria were gradually increased from just after water-logging before rice transplanting to pancle formations stage, afterthat decreased at harvest. The other side, a number of actinomycetes, fungi and cellulose-decomposers were slightly fluctuated until panicle formation stage and increased at havesting stage. In general, microorganism numbers were higher in organic matter with long-term nitrogen fertilizer applied plot, while cellulose-decomposers were higher in only organic matter applied plot. The microorganisms of ammonia-oxidizing, nitrate-reducing and nitrite-oxidizing, and denitrifying bacteria showed the maximum number at harvest stage, at panicle formation stage and at early tillering stage, respectively, while that of ammonifying bacteria were variable if nitrogen fertilizer applied or not at the respective periods in nitrogen cycle under water-logging. These bacteria were numerous in the organic matter plots combined with nitrogen fertilizer, especially, denitrifying bacteria in rice straw, others no difference.

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Impact of Amendments on Microbial Biomass, Enzyme Activity and Bacterial Diversity of Soils in Long-term Rice Field Experiment (개량제 장기 연용이 논토양의 미생물체량, 효소활성 및 세균 다양성에 미치는 영향)

  • Suh, J.S.;Noh, H.J.;Kwon, J.S.
    • Korean Journal of Soil Science and Fertilizer
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    • v.42 no.4
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    • pp.257-265
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    • 2009
  • The long-term effects of soil management history on microbial communities are still poorly understood. Our objectives were to determine the impact of long-term application of soil amendments on microbial communities in rice paddy fields. The treatments selected were control where crops were grown without any nutrient application (CON); nitrogen-phosphorus-potassium (NPK); NPK plus compost (CNPK); NPK plus lime (LNPK); and NPK plus silicate (WNPK). The long-term addition of organic and inorganic amendments significantly changed soil chemical properties. The amount of organic carbon increased in the treatments with fertilizer and amendments over that in the soil without inputs. However, we could not observe the differences of bacterial population among the treatments, but the number of aerobic bacteria increased by the addition of amendments. Isolates from the rice paddy soils before irrigation were Dactylosporangium, Ewingella, Geobacillus, Kocuria, Kurthia, Kytococcus, Lechevalieria, Micrococcus, Micromonospora, Paenibacillus, Pedobacter, Pseudomonas, Pseudoxanthomonas, Rhodococcus, Rothia, Sphingopyxis, Stenotrophomonas, and Variovorax. Dominant genera were Arthrobacter, Kocuria, Kurthia, and Bacillus in the long-term field. Microbial biomass was the highest in the compost treatment (CNPK), and was the lowest in the CON. Dehydrogenase activity in soils treated with rice compost straw was the highest and the activity showed an increasing trend according to treatment as follows: CON < WNPK < NPK = LNPK < CNPK. These results demonstrate that soil management practice, such as optimal application of fertilizer and amendment, that result in accumulations of organic carbon may increase microbial biomass and dehydrogenase activity in long-term rice paddy soils.

LSTM Model based on Session Management for Network Intrusion Detection (네트워크 침입탐지를 위한 세션관리 기반의 LSTM 모델)

  • Lee, Min-Wook
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.3
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    • pp.1-7
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    • 2020
  • With the increase in cyber attacks, automated IDS using machine learning is being studied. According to recent research, the IDS using the recursive learning model shows high detection performance. However, the simple application of the recursive model may be difficult to reflect the associated session characteristics, as the overlapping session environment may degrade the performance. In this paper, we designed the session management module and applied it to LSTM (Long Short-Term Memory) recursive model. For the experiment, the CSE-CIC-IDS 2018 dataset is used and increased the normal session ratio to reduce the association of mal-session. The results show that the proposed model is able to maintain high detection performance even in the environment where session relevance is difficult to find.

Comparison of stabilities in carbon nanotubes grown on a submicron-sized tip in terms of various buffer and catalyst materials (미세크기 팁 위에 성장된 탄소 나노튜브의 완충막 및 촉매 금속에 따른 안정성 비교)

  • Kim, Jong-Pil;Kim, Young-Kwang;Park, Chang-Kyun;Park, Jin-Seok
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.1224-1225
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    • 2008
  • The results of the experiment that was conducted on the electron emission property and the long-term stability of the emission current in various carbon nanotubes (CNTs)-based field emitters with a CNT/catalyst/buffer/W-tip configuration are presented herein. CNT-based field emitters were fabricated by varying the (TiN, Al/Ni/TiN) buffer layer and the (Ni, Co) catalyst material. This study aimed to elucidate how the buffer layers and catalyst materials affect the structural properties of CNTs and the long-term stability of CNT emitters. Raman spectroscopy, field emission SEM, and high-resolution TEM were used to analyze the crystalline structure, surface morphologies, and nanostructures of all the grown CNTs. X-ray photoelectron spectroscopy (XPS) was used to monitor the chemical bonds of all the buffer layers and catalysts. Electron emission measurement and a long-term (up to 40h) stability test were carried out using a compactly designed field emission measurement system.

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Long-term stabilization of optical feedback of a resonant external cavity coupled semiconductor laser (공진형 외부 캐비티 부착 반도체 레이저의 광피드백 장기 안정화)

  • 신철호
    • Korean Journal of Optics and Photonics
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    • v.9 no.2
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    • pp.96-99
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    • 1998
  • In this study, a novel long term stabilization method of optical feedback for the resonant cavity coupled semiconductor lasers is proposed, and its utility was shown experimentally. The proposed method is realized by using the pahse discriminator of optical feedback with high gain. The phase discriminating signal was obtained by the polarization spectroscopic technique using reflection light from the external reflector, which is a confocal Fabry-Perot cavity. Experimental result shows that stable control state can be maintained up to 20 hours. The period can be increased by reducing size of the system and/or fixing position stably of optical parts used, which were arranged on an optical table by using magnetic bases in this experiment. The proposed long-term stabilization method of optical feedack of a resonant external cavity coupled semiconductor laser is very useful for the field of high sensitivity measurement, and for the use in the laboratory level in particular.

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Case Study: Long-term Experiments on a Daily Activity Monitoring System for an Elderly Living Alone (사례 연구: 녹거노인 일상 활동 모니터링 시스템의 실제 주택에서의 장기간 실험)

  • Lee, Seon-Woo;Ok, Dae-Yoon;Jung, Phil-Hwan;Kim, Jeom-Keun
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.8
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    • pp.738-743
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    • 2012
  • This paper describes analysis of long-term experiments on a monitoring system to assess the daily activities of the elderly who live alone. The developed system is composed of an in-house sensing system and a server system. The in-house sensing system installed in their own houses is a typical wireless sensor network system including three kinds of wireless sensors. The server system has a database server and an assessment server. We have installed the system into an elderly house, collected data during over two years continuously, then analyze the data. From the analysis, we could measure the energy consumption profile of three kinds of sensor nodes. The experiment shows all kinds of nodes can operate over one year with two AA-size alkaline batteries. Using a measure of reliability of the monitoring system called 'deadzone', the system has showed the failure operation for 842 hours (4.66 %) during over 18,000 hours total operation period.

Long-term land cover change near Upo Swamp and the numerical experiment on its impact on the local climate (우포늪 부근의 장기적 토지피복도 변화와 그것이 국지기후에 미치는 영향에 관한 수치실험)

  • Hae-Dong Kim;Soon-Hwan Lee
    • Journal of Environmental Science International
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    • v.33 no.3
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    • pp.227-234
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    • 2024
  • We investigated the change in land-use alteration in a 45 km × 45 km area around the Upo wetlands in 1920s(before the Japanese occupation period), 1950s(immediately Korean independence) and the period 1970s to 2000s. These data can guide in understanding surface environmental changes in the lower Nakdong River from the early 20th century to the present. The influence of the long-term decreasing trend of the wetland area at the Upo Swamp was evaluated using a high-resolution local circulation model. The cooling effect of the wetlands on surface air during the daytime in summer(e.g, early August) was approximately 2℃ greater in the 1920s than in the 2000s, which is attributed to wider water areas in the 1920s. Additionally, long-term changes in land use have caused changes in the convergence zone of local circulation wind.