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排序方式: 共有105条查询结果,搜索用时 31 毫秒
1.
Azizli Mohammad Javad Barghamadi Mohammad Rezaeeparto Katayoon Mokhtary Masoud Parham Somayeh Darabi Mehdi Joker 《Iranian Polymer Journal》2021,30(10):1001-1018
Iranian Polymer Journal - Effects of graphene oxide (GO) on various properties of rubber hybrid nanocomposites based on PVMQ/XNBR-g-GMA/XNBR (phenyl-vinyl-methyl-polysiloxane/carboxylated nitrile... 相似文献
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Blom S. Darabi S. Huisman M. Safari M. 《International Journal on Software Tools for Technology Transfer (STTT)》2021,23(5):741-763
International Journal on Software Tools for Technology Transfer - A commonly used approach to develop deterministic parallel programs is to augment a sequential program with compiler directives... 相似文献
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A new unsupervised feature selection method for text clustering based on genetic algorithms 总被引:1,自引:0,他引:1
Pirooz Shamsinejadbabki Mohammad Saraee 《Journal of Intelligent Information Systems》2012,38(3):669-684
Nowadays a vast amount of textual information is collected and stored in various databases around the world, including the Internet as the largest database of all. This rapidly increasing growth of published text means that even the most avid reader cannot hope to keep up with all the reading in a field and consequently the nuggets of insight or new knowledge are at risk of languishing undiscovered in the literature. Text mining offers a solution to this problem by replacing or supplementing the human reader with automatic systems undeterred by the text explosion. It involves analyzing a large collection of documents to discover previously unknown information. Text clustering is one of the most important areas in text mining, which includes text preprocessing, dimension reduction by selecting some terms (features) and finally clustering using selected terms. Feature selection appears to be the most important step in the process. Conventional unsupervised feature selection methods define a measure of the discriminating power of terms to select proper terms from corpus. However up to now the valuation of terms in groups has not been investigated in reported works. In this paper a new and robust unsupervised feature selection approach is proposed that evaluates terms in groups. In addition a new Modified Term Variance measuring method is proposed for evaluating groups of terms. Furthermore a genetic based algorithm is designed and implemented for finding the most valuable groups of terms based on the new measure. These terms then will be utilized to generate the final feature vector for the clustering process . In order to evaluate and justify our approach the proposed method and also a conventional term variance method are implemented and tested using corpus collection Reuters-21578. For a more accurate comparison, methods have been tested on three corpuses and for each corpus clustering task has been done ten times and results are averaged. Results of comparing these two methods are very promising and show that our method produces better average accuracy and F1-measure than the conventional term variance method. 相似文献
5.
John F. Rushing Masoud K. Darabi Eisa Rahmani Dallas N. Little 《International Journal of Pavement Engineering》2017,18(2):138-159
This study presents the rutting performance results of full-scale pavement test sections subjected to F-15E and C-17 aircraft wheels at two different temperatures. Pavement structures for the tests were constructed under shelter in the U.S. Army Engineer Research and Development Center's (ERDC) pavement test facility. The full-scale test results are used to validate viscoelastic, viscoplastic and hardening-relaxation constitutive relationships implemented in the Pavement Analysis Using Nonlinear Damage Approach (PANDA) model. PANDA is a mechanistic-based model which incorporates nonlinear viscoelastic, viscoplastic, hardening-relaxation, viscodamage, moisture-induced damage and ageing constitutive relationships. Results of dynamic modulus and different repeated creep-recovery laboratory tests are analysed to extract the parameters associated with viscoelastic, viscoplastic and hardening-relaxation constitutive relationships implemented in PANDA. Once calibrated, PANDA is used to predict the rutting performance observed in full-scale pavement test sections. The simulation results illustrate that PANDA is capable of predicting the rutting of airfield pavements subjected to heavy aircraft wheel loads at intermediate and high temperatures. It is shown that PANDA successfully predicts the effect of shear flow and upheaval at the edges of the wheel. The data from simulation suggested that PANDA, once calibrated, can provide insight into the critical locations of tensile and compressive stresses within the pavement structure. PANDA simulations not only provide a tool for evaluating existing structures, but also can be used in designing more sustainable pavement structures and materials. 相似文献
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Analysis and Optimization of Current-Driven Passive Mixers in Narrowband Direct-Conversion Receivers 总被引:1,自引:0,他引:1
Mirzaei A. Darabi H. Leete J.C. Xinyu Chen Juan K. Yazdi A. 《Solid-State Circuits, IEEE Journal of》2009,44(10):2678-2688
Properties of the current-driven passive mixer are explored to maximize its performance in a zero-IF receiver. Since there is no reverse isolation between the RF and baseband sides of the mixer, the mixer reflects the baseband impedance to the RF and vice versa through simple frequency shifting. It is also shown that in an IQ down-conversion system the lack of reverse isolation causes a mutual interaction between the two quadrature mixers, which results in different high- and low-side conversion gains, and unexpected IIP2 and IIP3 values. With a thorough and accurate mathematical analysis it is shown how to design this mixer and its current buffer, and how to size components to get the best linearity, conversion gain and noise figure while alleviating the IQ cross-talk problem. 相似文献
8.
Mergen H. Ghayesh Farbod Alijani Mohammad A. Darabi 《Journal of Mechanical Science and Technology》2011,25(8):1915-1923
The aim of this study is to develop an approximate analytic solution for nonlinear dynamic response of a simply-supported
Kelvin-Voigt viscoelastic beam with an attached heavy intra-span mass. A geometric nonlinearity due to midplane stretching
is considered and Newton’s second law of motion along with Kelvin-Voigt rheological model, which is a two-parameter energy
dissipation model, are employed to derive the nonlinear equations of motion. The method of multiple timescales is applied
directly to the governing equations of motion, and nonlinear natural frequencies and vibration responses of the system are
obtained analytically. Regarding the resonance case, the limit-cycle of the response is formulated analytically. A parametric
study is conducted in order to highlight the influences of the system parameters. The main objective is to examine how the
vibration response of a plain (i.e. without additional adornment) beam is modified by the presence of a heavy mass, attached
somewhere along the beam length. 相似文献
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A. Kheyri Z. Nourbakhsh E. Darabi 《Journal of Superconductivity and Novel Magnetism》2016,29(4):985-993
The structural, electronic, and magnetic properties of pure graphene sheet and graphene sheet with Fe, Co, Si, and Ge impurities are investigated. The calculated results are done within density functional theory in the presence of spin-orbit coupling using the generalized gradient approximation. Electron density of states, band order, electron charge distribution, magnetic moment of these sheets, and the effect of pressure on the band order of graphene sheet with Fe impurity are investigated. 相似文献
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