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船舶智能靠泊过程中信息技术因素的影响与预防
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作者 徐佳龙 崔建辉 《天津航海》 2022年第4期10-13,共4页
随着科学技术的高质量发展,现代化技术广泛应用到船舶航运中,使船舶航行日趋智能化。但对于航行中可能出现的航行安全问题,尤其在船舶在靠离泊过程中出现的问题,其安全评估仍需考虑众多因素。文章旨在通过学习和运用IMO综合安全评估法(F... 随着科学技术的高质量发展,现代化技术广泛应用到船舶航运中,使船舶航行日趋智能化。但对于航行中可能出现的航行安全问题,尤其在船舶在靠离泊过程中出现的问题,其安全评估仍需考虑众多因素。文章旨在通过学习和运用IMO综合安全评估法(FSA)重点分析船舶智能靠泊过程中信息技术因素的影响,并提出相应的预防措施。 展开更多
关键词 自动靠离泊 综合安全评估法(FSA) 智能靠泊过程 信息技术因素
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影响资本结构因素的实证分析——基于信息技术行业的A股上市公司数据
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作者 王慧 王莎莎 《知识经济》 2014年第12期7-8,共2页
企业经营管理中资本结构对经营发展有重要的意义,对于信息技术行业这类成长快,风险大的上市企业更是如此。本文选取我国信息技术行业的54家A股上市公司为研究样本,针对其2012年的公开财务数据,运用多元回归分析方法对影响其资本结构的... 企业经营管理中资本结构对经营发展有重要的意义,对于信息技术行业这类成长快,风险大的上市企业更是如此。本文选取我国信息技术行业的54家A股上市公司为研究样本,针对其2012年的公开财务数据,运用多元回归分析方法对影响其资本结构的因素进行研究。结果发现:该行业企业规模与资本结构显著正相关,短期偿债能力、盈利能力与资本结构显著负相关,资产担保价值、营运能力、税率对其资本结构有正向影响,而行业成长性相反,但是都与资本结构关系不显著。 展开更多
关键词 资本结构 信息技术行业影响因素 实证分析
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Modem Information Technology (IT): Factor for Business Efficiency and Business Driver
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作者 Krassimira Schwertner 《Journal of Modern Accounting and Auditing》 2013年第8期1131-1139,共9页
In conditions of high-tech industries, Information Technology (IT) is expected to help solve complex problems by expediting corporate operations and provide more efficient business processes. IT is one of the main f... In conditions of high-tech industries, Information Technology (IT) is expected to help solve complex problems by expediting corporate operations and provide more efficient business processes. IT is one of the main factors to improve business efficiency. The new technologies such as virtualisation, consolidation, cloud computing, and software-based solutions are great ways to minimise resource use while maximising the business value of information systems. Technologies and innovations are necessary to ride the inevitable tide of change. Most of enterprises are striving to reduce their computing costs through the means of virtualization. This demand of reducing the computing cost has led to the innovation of cloud computing. Cloud technology offers better computing through improved utilization and reduced administration and infrastructure costs. Cloud computing is the sum of Software as a Service (SaaS) and utility computing. Cloud computing represents a fundamental change in the way computing power is generated and distributed, transforming the delivery of IT tools and products into elastic, on demand services characterized by flexible "pay as you go" payment models. More than half of European Union (EU) businesses and consumers already use some kind of cloud services. The diffusion of cloud computing is expected to generate substantial direct and indirect impacts on economic and employment growth in the EU, thanks to the migration to a new IT paradigm enabling greater innovation and productivity. The cost of using digital technologies, such as information service providers, decreases as the number of users increases. All of these factors work together to promote a rapid growth in the demand for, and supply of, IT products and services. 展开更多
关键词 cloud computing information technology (IT) mobile technologies information services socialnetworks big data innovations
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Microseismic Monitoring Data Fusion Algorithm and Coal and Gas Outbursts Prediction
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作者 赵志刚 谭云亮 《Journal of Measurement Science and Instrumentation》 CAS 2010年第4期315-316,共2页
The prediction study on coal and gas outbursts is carried out by monitoring some indices which are sensitive to the initiation of coal and gas outbursts. The values and changing roles of the indices are the foundation... The prediction study on coal and gas outbursts is carried out by monitoring some indices which are sensitive to the initiation of coal and gas outbursts. The values and changing roles of the indices are the foundations of coal and gas outbursts prediction. But now, only the data of ere key monitoring station is used in the coal and gas outbursts prediction practice, and the other data are ignored. In order to overcome the human factor and make full use of the monitoring information, the technique of multi-sensor target tracking is proposed to deal with the microseismic informatiion. With the results of microseismic events, the activities of geological structure, fracure-depth of roof and floor, and the location of gas channel are obtained. These studies indicate that it is considerably possible to predict the coal and gas outbursts using microseismic monitoring with its inherent ability to remotely monitor the progressive failure caused by mining. 展开更多
关键词 coal and gas outbursts microseismic monitoring data fusion
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Denitrification Rates and Their Controlling Factors in Streams of the Han River Basin with Different Land-Use Patterns 被引量:1
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作者 S.P.JUNG Y.J.KIM H.KANG 《Pedosphere》 SCIE CAS CSCD 2014年第4期516-528,共13页
Land-use patterns can affect various nutrient cycles in stream ecosystems, but little information is available about the effects of urban development on denitrification processes at the watershed scale. In the present... Land-use patterns can affect various nutrient cycles in stream ecosystems, but little information is available about the effects of urban development on denitrification processes at the watershed scale. In the presented study, we investigated the controlling factors of denitrification rates within the streams of the Han River Basin, Korea, with different land-use patterns, in order to enhance the effectiveness of water resource management strategies. Ten watersheds were classified into three land-use patterns (forest, agriculture and urban) using satellite images and geographic information system techniques, and in-situ denitrification rates were determined using an acetylene blocking method. Additionally, sediment samples were collected from each stream to analyze denitrifier communities and abundance using molecular approaches. In-situ denitrification rates were found to be in the order of agricultural streams (289.6 mg N20-N m-2 d-1) 〉 urban streams (157.0 mg N20-N m-2 d-1) 〉 forested streams (41.9 mg N20-N m-2 d-l). In contrast, the average quantity of denitrifying genes was the lowest in the urban streams. Genetic diversity of denitrifying genes was not affected by watershed land-use pattern, but exhibited stream-dependent pattern. More significance factors were involved in denitrification in the sites with higher denitrification rates. Multiple linear regression analysis revealed that clay, dissolved organic carbon and water contents were the main factors controlling denitrification rate in the agricultural streams, while dissolved organic carbon was the main controlling factor in the urban streams. In contrast, temperature appeared to be the main controlling factor in the forested streams. 展开更多
关键词 denitrifier communities denitrifying genes nutrient cycle stream ecosystem
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