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Environmental impact prediction using remote sensing images   总被引:1,自引:0,他引:1  
Environmental impact prediction is an important step in many environmental studies. A wide variety of methods have been developed in this concern. During this study, remote sensing images were used for environmental impact prediction in Robatkarim area, Iran, during the years of 2005-2007. It was assumed that environmental impact could be predicted using time series satellite imageries. Natural vegetation cover was chosen as a main environmental element and a case study. Environmental impacts of the regional development on natural vegetation of the area were investigated considering the changes occurred on the extent of natural vegetation cover and the amount of biomass. Vegetation data, land use and land cover classes (as activity factors) within several years were prepared using satellite images. The amount ofbiomass was measured by Soil-adjusted Vegetation Index (SAVI) and Normalized Difference Vegetation Index (NDVI) based on satellite images. The resulted biomass estimates were tested by the paired samples t-test method. No significant difference was observed between the average biomass of estimated and control samples at the 5% significance level. Finally, regression models were used for the environmental impacts prediction. All obtained regression models for prediction of impacts on natural vegetation cover show values over 0.9 for both correlation coefficient and R-squared. According to the resulted methodology, the prediction models of projects and plans impacts can also be developed for other environmental elements which may be derived using time series remote sensing images.  相似文献   
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We first introduce the overall approach to knowledge management taken by Allianz Group. We then present two specific solution approaches within Allianz Group. The first approach is focused on knowledge sharing across different lines of businesses and various organizational entities within Allianz. The approach is implemented through the new organizational role of centers of competence. The second approach is focused on improvements of knowledge-workers day-to-day tasks involving document and expert search from various information sources. Here, we report the setup and the results from a pilot study. The aim was to evaluate the implications of different search and retrieval tools on workflow within a representative everyday business environment. Different available information resources with their corresponding security infrastructure were taken into account. The pilot implementation was accompanied by an empirical survey on usage characteristics and usability experiences by the participating knowledge workers.  相似文献   
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In this paper, a new approach to robust H filtering for a class of nonlinear systems with time-varying uncertainties is proposed in the LMI framework based on a general dynamical observer structure. The nonlinearities under consideration are assumed to satisfy local Lipschitz conditions and appear in both state and measured output equations. The admissible Lipschitz constants of the nonlinear functions are maximized through LMI optimization. The resulting H observer guarantees asymptotic stability of the estimation error dynamics with prespecified disturbance attenuation level and is robust against time-varying parametric uncertainties as well as Lipschitz nonlinear additive uncertainty.  相似文献   
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The learning object meta-data (LOM) is an emerging standard for annotation of educational entities (digital or non-digital) that are relevant to technology-supported learning. The annotations describe educational, legal, and technical characteristics of these resources. Development of this standard is sponsored by the IEEE Learning Technology Standards Committee. In this paper, we describe an application of the LOM to the construction of a database of resources available to schools in Hawaìi and report on both successes and issues encountered. Recommendations are made concerning modifications to the LOM and adoption of the LOM by others working in primary and secondary school contexts.  相似文献   
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Over the years, the multiple intelligences theory (MIT) proposed by Howard Gardner has renewed interest in learners’ use of effective learning strategies and produced interesting results. This MIT-oriented study investigated the role of successful L2 readers’ multiple intelligences in their effective use of reading strategies. To this end, a TOEFL reading comprehension test was administered to a cohort of 135 English as a foreign language students at several universities in the southwest and centre of Iran, and 80 students were identified as successful L2 readers based on the ETS rating scale and their TOEFL scores. Then, they answered an MI questionnaire originally developed by Armstrong and a reading strategies inventory adapted by Singhal. The data were quantitatively analysed using correlations and multiple regressions. The results revealed that linguistic, logical–mathematical and intrapersonal intelligences were the good L2 readers’ most dominant intelligences, while bodily intelligence was the least common type. In addition, they mostly employed metacognitive and cognitive strategies but rarely drew upon affective and compensation strategies while reading. Further, there was a significant positive relationship between linguistic, logical–mathematical, spatial, interpersonal, and intrapersonal intelligences and the use of metacognitive and cognitive reading strategies. Similar relationships were also found between linguistic intelligence and the participants’ use of memory strategy, on one hand, and between interpersonal intelligence and compensation and social strategy use, on the other. Importantly, linguistic and intrapersonal intelligences as well as metacognitive and cognitive strategy use were shown to be the best predictors of reading comprehension. Finally, the theoretical or pedagogical implications of the findings are discussed.  相似文献   
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In this study, a 3D passivated-electrode, insulator-based dielectrophoresis microchip (3D πDEP) is presented. This technology combines the benefits of electrode-based DEP, insulator-based DEP, and three dimensional insulating features with the goal of improving trapping efficiency of biological species at low applied signals and fostering wide frequency range operation of the microfluidic device. The 3D πDEP chips were fabricated by making 3D structures in silicon using reactive ion etching. The reusable electrodes are deposited on second glass substrate and then aligned to the microfluidic channel to capacitively couple the electric signal through a 100 μm glass slide. The 3D insulating structures generate high electric field gradients, which ultimately increases the DEP force. To demonstrate the capabilities of 3D πDEP, Staphylococcus aureus was trapped from water samples under varied electrical environments. Trapping efficiencies of 100% were obtained at flow rates as high as 350 μl/h and 70% at flow rates as high as 750 μl/h. Additionally, for live bacteria samples, 100% trapping was demonstrated over a wide frequency range from 50 to 400 kHz with an amplitude applied signal of 200 Vpp. 20% trapping of bacteria was observed at applied voltages as low as 50 Vpp. We demonstrate selective trapping of live and dead bacteria at frequencies ranging from 30 to 60 kHz at 400 Vpp with over 90% of the live bacteria trapped while most of the dead bacteria escape.  相似文献   
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