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排序方式: 共有58条查询结果,搜索用时 15 毫秒
1.
Luis Mengual Oscar Marbán Santiago Eibe Ernestina Menasalvas 《Expert systems with applications》2013,40(6):2244-2262
In this paper we propose a flexible Multi-Agent Architecture together with a methodology for indoor location which allows us to locate any mobile station (MS) such as a Laptop, Smartphone, Tablet or a robotic system in an indoor environment using wireless technology. Our technology is complementary to the GPS location finder as it allows us to locate a mobile system in a specific room on a specific floor using the Wi-Fi networks.The idea is that any MS will have an agent known at a Fuzzy Location Software Agent (FLSA) with a minimum capacity processing at its disposal which collects the power received at different Access Points distributed around the floor and establish its location on a plan of the floor of the building. In order to do so it will have to communicate with the Fuzzy Location Manager Software Agent (FLMSA). The FLMSAs are local agents that form part of the management infrastructure of the Wi-Fi network of the Organization.The FLMSA implements a location estimation methodology divided into three phases (measurement, calibration and estimation) for locating mobile stations (MS). Our solution is a fingerprint-based positioning system that overcomes the problem of the relative effect of doors and walls on signal strength and is independent of the network device manufacturer.In the measurement phase, our system collects received signal strength indicator (RSSI) measurements from multiple access points. In the calibration phase, our system uses these measurements in a normalization process to create a radio map, a database of RSS patterns. Unlike traditional radio map-based methods, our methodology normalizes RSS measurements collected at different locations on a floor. In the third phase, we use Fuzzy Controllers to locate an MS on the plan of the floor of a building.Experimental results demonstrate the accuracy of the proposed method. From these results it is clear that the system is highly likely to be able to locate an MS in a room or adjacent room. 相似文献
2.
Ignazio Renato Bellobono Seba Calgari Maria Cristina Leonardi Elena Selli Ernestina Dubini Paglia 《大分子材料与工程》1981,100(1):135-146
Photochemically induced grafting and graft-polymerization of 4-(N-ethyl-N-2-acryloxyethyl)amino-4′-nitro-azobenzene I , brought into contact in the solid state with cellulose by evaporation of solvent from monomer solutions, has been investigated kinetically at 30°C. Two constant rate periods were observed. The first one was interpreted on the basis of a self-sensitized grafting mechanism of monomeric or oligomeric species of I , photochemically initiated by hydrogen abstraction from the cellulose surface. The second one was explained as a self-sensitized photochemically induced graft-polymerization of I on the first grafted layer. Some particular features, such as concurrent photodegradation of the first grafted layer at low surface coverage, are discussed in the light of the proposed mechanism. 相似文献
3.
Valentina Di Egidio Nicoletta Sinelli Gabriella Giovanelli Agostina Moles Ernestina Casiraghi 《European Food Research and Technology》2010,230(6):947-955
Fifteen micro-fermentation trials were conducted during the 2008 vintage harvest in the Valtellina (Northern Italy) viticultural
area. During fermentation, the spectra were achieved in the near and mid-infrared region by a FT-NIR spectrometer and a FT-IR
spectrometer, respectively. Samples were also analysed by using chemical methods to evaluate sugars (glucose and fructose),
alcohols (ethanol and glycerol) and phenolic compounds (total phenolics, total anthocyanins and total flavonoids). The pretreated
spectral data were processed using principal component analysis. After feature selection by the algorithm SELECT, linear discriminant
analysis (LDA) was applied to spectral data as a classification technique, to predict the fermentation stage from initial
to final phase. Moreover, partial least square regression was used to predict sugar content, ethanol, glycerol and phenolic
compounds simultaneously. LDA results, characterised by a high percentage of correct classification (87% and 100% as average
value in prediction for NIR and MIR spectroscopy, respectively), showed that samples belonging to a particular fermentation
step could be correctly classified. Good calibration models for the prediction of the main compositional changes during alcoholic
fermentation were obtained with both FT-NIR and FT-IR, suggesting that either instruments could be used to evaluate online
and simultaneously these compounds in red wine. 相似文献
4.
Nicoletta Sinelli Lorenzo Cerretani Valentina Di Egidio Alessandra Bendini Ernestina Casiraghi 《Food research international (Ottawa, Ont.)》2010,43(1):369-375
A sensory analysis of 112 virgin olive oils was performed by a fully trained taste panel. The samples were divided in “defective” and “not defective” on the basis of their olfactory attributes. Then, the “not defective” samples were classified into “low”, “medium” and “high” according to the fruity aroma intensity perceived by assessors. All samples were also analysed by FT-NIR and FT-IR spectroscopy and processed by classification methods (LDA and SIMCA). The results showed that NIR and MIR spectroscopy coupled with statistical methods are an interesting technique compared with traditional sensory assessment in classifying olive oil samples on the basis of the fruity attribute. The prediction rate varied between 71.6% and 100%, as average value. The spectroscopic methods, combined with chemometric strategies, could represent a reliable, cheap and fast classification tool, able to draw a complete fingerprint of a food product, describing its intrinsic quality attributes, that include its sensory attributes. 相似文献
5.
Pier Luigi Beltrame Ernestina Dubini Paglia Bruno Marcandalli Alberto Seves 《应用聚合物科学杂志》1989,38(4):755-763
Five polypropylene films were prepared having different crystallinity and morphology, the latter having been modified by stretching. They were colored with azo dyes XC6H4N?NC6H4N(C2H5)2 (where X?H, OCH3, CN, and NO2). The kinetics of the thermal cis-trans isomerization of these dyes has been studied in the range 21–41°C, much above the glass transition temperature of the polymer. The isomerization process was found to be strictly first-order; the kinetic parameter values have been correlated with the free volume extent in the amorphous regions of the matrix. Lightfastness of the dyes in the polymer matrices has been also investigated: It appeared to be more important for the unoriented samples with respect to the stretched ones and substantially independent on the crystalinity degree. 相似文献
6.
Pier Luigi Beltrame Ernestina Dubini-Paglia Bruno Marcandalli Patrizia Sadocco Alberto Seves 《应用聚合物科学杂志》1987,33(8):2965-2974
Three poly(ethylene terephthalate) films were prepared having the same crystallinity but different morphology. They were colored with azo dyes XC6H4N = NC6H4N(C2H5)2 (where X is H, OCH3, CN, and COOC2H5). The kinetics of the thermal cis-trans isomerization of these dyes has been studied below the glass transition temperature in the range 25–56°C. The isomerization process was found to be the result of a multiplicity of first-order reactions. The kinetic parameters have been correlated with the order degree at molecular level of the polymer. Lightfastness of the dyes in the polymer matrices has been also investigated: it appeared to be in relation with the supermolecular structure of the film. 相似文献
7.
Meat freshness has been monitored by various microbiological, chemical and sensorial indices. However, these methods are slow and not suited to automation. Infrared spectroscopy is one of the most convenient analytical tools which could be used to monitor the evolution of food quality. The aim of this work was to investigate the ability of both NIR (Near Infrared) and MIR (Mid Infrared) spectroscopy to follow meat freshness decay. The minced beef was packaged in high-oxygen modified atmosphere (30% CO2 and 70% O2) and stored at three temperatures. Spectra were collected by Fourier-Transformation (FT)-NIR and FT-IR instruments. PCA, applied to the data, was able to discriminate samples on the basis of storage time and temperature. The modelling of PC scores versus time allowed the setting of the time of initial freshness decay for the samples (6–7 days at 4.3 °C, 2–3 days at 8.1 °C and less than 1 day at 15.5 °C). 相似文献
8.
Seal Ayan Garcia-Pedrero Angel Bhattacharjee Debotosh Nasipuri Mita Lillo-Saavedra Mario Menasalvas Ernestina Gonzalo-Martin Consuleo 《Multidimensional Systems and Signal Processing》2020,31(2):745-769
Multidimensional Systems and Signal Processing - The applications of object-based image analysis (OBIA) in remote sensing studies have received a considerable amount of attention over the recent... 相似文献
9.
Schipani P Noethe L Arcidiacono C Argomedo J Dall'Ora M D'Orsi S Farinato J Magrin D Marty L Ragazzoni R Umbriaco G 《Journal of the Optical Society of America. A, Optics, image science, and vision》2012,29(7):1359-1366
The wavefront sensor in active and adaptive telescopes is usually not in the optical path toward the scientific detector. It may generate additional wavefront aberrations, which have to be separated from the errors due to the telescope optics. The aberrations that are not rotationally symmetric can be disentangled from the telescope aberrations by a series of measurements taken in the center of the field, with the wavefront sensor at different orientation angles with respect to the focal plane. This method has been applied at the VLT Survey Telescope on the ESO Paranal observatory. 相似文献
10.
Francisco García Fernández Paloma de Palacios Luis G. Esteban Alberto Garcia-Iruela Beatriz González Rodrigo Ernestina Menasalvas 《Composites Part B》2012,43(8):3528-3533
The structural application of plywood boards has increased considerably in recent years. In this context, determining plywood mechanical properties such as bending strength and modulus of elasticity through predictive models using more-easily obtained properties is a very useful tool for in-factory quality control. Artificial neural networks have demonstrated their high capacity for modelling complex relations between variables, considerably improving on results obtained through regression techniques. Four neural networks were developed to obtain these mechanical properties by determining board thickness, moisture content, specific gravity, bending strength and modulus of elasticity of test pieces of small dimensions. The results were compared with those of a regression model and in all cases the results of the present study were better. 相似文献