【文章內(nèi)容簡(jiǎn)介】 etroChina Daqing Oilfield Co., Ltd., Daqing, China.。PetroChina Daqing Oilfield Co., Ltd., Daqing, China.。The Northeast Petroleum University, Daqing, HeiLongjiang Province, China.3.【篇名】Natural Gas Transmission Pipeline Temperature Drop Calculation【刊名】：Advances in Petroleum Exploration and Development【出版年】：2014【卷】：8【期】：2【館藏單位】：中國(guó)化工信息中心【館藏號(hào)】：T141【語(yǔ)種】：英語(yǔ)【文摘】：The numerical putation of natural gas pipeline * temperature drop will provide the reference data for the design of gas pipeline, the judgement of hydrate formation, the normal production and operation. On the basis of Suhuofu formula, considering the effect of the JouleThomson, according to the natural gas flowing through a pipe heat conduction basic theory, bined with engineering thermodynamics, heat transfer and fluid mechanics knowledge, establishing gas transmission pipeline temperature drop model, adopt iterative method, the natural gas temperature along the pipe is calculated, paring some kind of factors such as gas position, the pipeline operational factor, the heat preservation situation, and analysis how the factors influent the temperature drop, providing the theory basis for how to reduce the temperature drop in the gas line, the heating power and the heating furnace heating temperature calculation, and energy conservation and optimization.【關(guān)鍵詞】：Natural gas。Temperature drop calculation。Gas line?！痉诸愄?hào)】：TE5【起頁(yè)】：24【止頁(yè)】：28【總頁(yè)數(shù)】：5【作者單位】：The Second Production Plant of PetroChina Daqing Oilfield Co., Ltd., Daqing, China.4.【篇名】WCOIDDG: An approach for case base maintenance based on Weighting, Clustering, Outliers, Internal Detection and DbsanGmeans (Conference Paper)【出版年】：2014【卷】：80【期】：1【館藏單位】：中國(guó)科學(xué)院文獻(xiàn)情報(bào)中心 中國(guó)科學(xué)技術(shù)信息研究所【館藏號(hào)】：TP143。414234【語(yǔ)種】：英語(yǔ)【文摘】：The success of the Case Based Reasoning system depends on the quality of the case data and the speed of the retrieval process that can be costly in time, especially when the number of cases gets bulky. To guarantee the system39。s quality, maintaining the contents of a case base (CB) bees unavoidably. In this paper, we propose a novel case base maintenance policy named WCOIDDG: Weighting, Clustering, Outliers and Internal cases Detection based on Dbscan and Gaussian means. Our WCOIDDG policy uses in addition to feature weights and outliers detection methods, a new efficient clustering technique, named DBSCANGM (DG) which is a bination of DBSCAN and GaussianMeans algorithms. The purpose of our WCOIDGM is to reduce both the storage requirements and search time and to focus on balancing case retrieval efficiency and petence for a CB. WCOIDGM is mainly based on the idea that a large CB with weighted features is transformed to a small CB with improving its quality. We support our approach with empirical evaluation using different benchmark data sets to show its petence in terms of shrinking the size of the CB and the research time, as well as, getting satisfying classification accuracy.【關(guān)鍵詞】：Case base maintenance。Case based reasoning。Density based clustering。GaussianMeans clustering。Outliers detection?！痉诸愄?hào)】：N94。 TP3【起頁(yè)】：27【止頁(yè)】：38【總頁(yè)數(shù)】：125.【篇名】External and internal detection of Nosema ceranae on honey bees using realtime PCR.【刊名】：Journal of Invertebrate Pathology【出版年】：2012【卷】：109【期】：3【館藏單位】：【館藏號(hào)】：【語(yǔ)種】：英語(yǔ)【文摘】：Numerous methods exist for molecularbased detection of Nosema ceranae. Here we determine location of parasite loads, the optimal tissue for pathogen detection, and the likely sources of variability among assays. Bee washes and head/thorax samples revealed substantial N. ceranae loads (+ and +). Midgut samples carried the highest parasite loads (+), followed by the hindgut (+). We remend using midgut samples for molecularbased detection and quantification of N. ceranae because of the low variability among samples.【關(guān)鍵詞】：Nosema ceranae。Realtime PCR。Pathogen detection。【分類號(hào)】：【起頁(yè)】：323【止頁(yè)】：325【總頁(yè)數(shù)】：3（六）美國(guó)（ELSEVIER期刊數(shù)據(jù)庫(kù)）列舉出部分檢索結(jié)果（含摘要）。檢索題名：“internal detection”or“natural gas transmission pipeline”1.Unsteady natural gas flow within pipeline network, an analytical approachMahmood FarzanehGord,Hamid Reza Rahbari,The Faculty of Mechanical Engineering, Shahrood University of Technology, Shahrood, IranReceived 23 August 2015, Revised 13 December 2015, Accepted 15 December 2015, Available online 18 December 2015 Journal of Natural Gas Science and EngineeringVolume 28, January 2016,Pages 397–409Highlights?Natural gas pipeline network deliver natural gas from the production points to the consumers.?An analytical approach carried out to analysis unsteady natural gas pipeline network.?A wellknown gas pipeline network has been analyzed for validation purpose.?The effect of various parameters investigated on the unsteady pipeline network.AbstractThe natural gas pipeline network (including distribution network) may be subjected to some extreme conditions such as pipeline rapture, sudden changed demand and etc. The behavior of natural gas pipeline network should be properly identified to prevent network failure and have continued pipeline operation under these extreme conditions. These conditions usually cause unsteady behavior of the pipeline network. Consequently, it is necessary to develop an unsteady state mathematical method to study natural gas pipeline network under unsteady conditions. To achieve this goal, an analytical approach has been developed to analyzed natural gas pipeline network. The governing equations derived for onedimensional isothermal pressible viscous flow with Kirchhoff39。s laws have been employed to develop a method for studying the pipeline network under unsteady conditions. The proposed method has been pared with previous studies for validation purposes. The validation shows the proposed method has an average absolute present derivation (AAPD) less than %. Finally the effect of a few parameters including: friction factor, natural gas position and decreasing and increasing demand have been studied. Results show that Weymouth and AGA equation predict highest and lowe