Transfer Method

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Versatile polymer free graphene transfer method and applications

Versatile polymer free graphene transfer method and applications

The PDMS-assisted transfer method has been reported to be a most developed methodology in the literature, 2, 3 and is widely adopted in the graphene community. It was important to demonstrate that the polymer-free biphasic transfer method did not produce more mechanically-introduced defects in the graphene, as compared to this polymer-support route. Thus, comparative experiments using a traditional PDMS-supported transfer process were carried out. Graphene samples were synthesized under the same CVD chamber conditions as used for biphasic transfer studies, to ensure the starting material was of the same quality. The as-grown graphene/Cu samples were polished on the back, as described in main text, and then coated with a PDMS layer. For the preparation of PDMS films, the pre-polymer and curing agent (Sylgard 184 elastomer), with a ratio of 10:1 (w/w), were fully mixed in a petri dish and then degassed in a desiccator for 30 min. A tiny amount of the mixture was poured slowly onto the front side of the sample, developing a thin layer on top of the graphene, and the sample was then kept at 70 °C in an oven for one hour. After cooling down, the PDMS-coated sample was gently laid on the surface of 0.1 M (NH 4 ) 2 S 2 O 8 aqueous solution, with the polymer side facing up, and wet etched for the same
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Facial expression transfer method based on frequency analysis

Facial expression transfer method based on frequency analysis

AAM coefficients of training images were factorized into identity and expression subspaces. The test face image was represented by the AAM coefficients, which were reconstructed by estimating its identity and expression coefficients in the generative model. The solved identity coefficients were combined with the remaining expression coefficients in the expression subspace of the generative model to synthesize multi-expression face images. In [37], a generative model of shape and texture is built in order to obtain the identity and expression coefficients, separately. The expression transfer was realized by swapping the expression coefficients of the source and target subjects. [38] proposed a tensor-based AAM, in which texture is aligned with the normalized shape of the AAM. The expression coefficients of the test face were synthesized by linearly combining the expression coefficients of training faces in the latent expression subspace. A texture variation ratio between the neutral and non-neutral expressions was used to transform the expression of the test face. However, the expression variations are often strongly nonlinear, thus the expression coefficient estimation for the test image may not be accurate. The expression variation ratio is not adaptive to the nonlinear variation of extreme expressions. [41] incorporated the expression manifold with the Tensor-AAM model to synthesize dynamic expressions of the training face. The Bilinear Kernel Reduced Rank Regression (BKRRR) method for static general expression synthesis was proposed in [15]. It synthesizes general expressions on the face of a target subject. Zhang and Wei [2] used TensorFace combined with an expression manifold to synthesize the dynamic expressions of a training face, then extracted and transferred the dynamic expression details of the training face to the target face. For extensive reviews on facial expression synthesis, we refer the reader to [42] and [43].
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An Improved Novel Wireless Power Transfer Method For Pacemakers

An Improved Novel Wireless Power Transfer Method For Pacemakers

With the advancement of technology, alternatives can be used for surgeries. To recharge the battery, body energy harvesting techniques may be employed. Some of the power sources are heartbeat, blood flow inside the vessels, movement of the body parts, and the temperature of body (heat). Various types of sensing devices are employed to sense the energy from body parts. The piezoelectric and semiconductor coupled nano wires are used to convert the mechanical energy into electricity. The nano generators are used to convert the hydraulic energy in human body to electrical energy. Another way is to use bio-thermal battery which generates electricity from the body heat using multiple arrays of thermoelectric generators built into an implantable chip. These generators exploit the well-known thermocouple effect. For the bio- thermal device to work, it needs a 2°C temperature difference across it. But there are many parts of the body where a temperature difference of 5°C exists – typically in the few millimeters just below the skin, where it is planned to place this device. Optimizing the transmitter for power transfer efficiency can enable the efficient power delivery by reducing the temperature of tissue [5]. But this system produces lot of heating to the tissues.
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Highly Efficient Method for Preparing Homogeneous and Stable Colloids Containing Graphene Oxide

Highly Efficient Method for Preparing Homogeneous and Stable Colloids Containing Graphene Oxide

For preparing the suspensions containing graphene or graphene oxide nanosheets (GONs), the traditional strategy is a three-step method. First, graphene or gra- phene oxide nanosheets are prepared and dried, and then they will be modified. Finally, the functionalized graphene will be dispersed in solvents under stir or ultrasonication. The three-step method is used widely, while there are some drawbacks. First of all, during the synthetic and drying process, GONs have the strong trend to conglomerate due to the large surface area. Second, not all the GONs can be modified, and there is always some sediment under the bottom of suspension. The suspension is not homogeneous, which is not desired for preparing even films and composite materi- als. Here, we developed a facile phase-transfer method with high efficiency to prepare stable suspensions of gra- phene oxide in organic solvents. This method is primar- ily based on the strong interaction between GONs and oleylamine.
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Online Full Text

Online Full Text

Abstract — The Finite Transfer Method used to solve a system of linear ordinary differential equations is extended by adding the boundary equations involved in the problem. A Runge-Kutta scheme could be chosen, for example, to obtain Finite Transfer expressions. The use of a recurrence strategy in these equations permits one to relate different points in the domain where boundary equations could be defined. A final algebraic system of equations is annotated and solved. The method could be applied to determine the structural behaviour of a spatially curved beam element. An example is given to show the procedure exposed.
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Evaluation of Eight Evaporation Estimation Methods in a Semi-arid Region (Dez reservoir, Iran)

Evaluation of Eight Evaporation Estimation Methods in a Semi-arid Region (Dez reservoir, Iran)

showed that are consistent with the energy budget model introduced in that region (Hassani, 2013). Benzaghta and et al (2012) three evaporation estimator methods such as; namely Penman, Priestley- Taylor and Linacre chose and examined them and the statistical analysis concluded that the rate of evaporation estimated by the model for the region was significant (Ali Benzaghta, et al., 2012). Gallego- Elvira, et al calculated the evaporation from covered reservoirs in dry areas and evaporation estimation methods to estimate the evaporation rate and the amount of ways to get fit (Gallego-Elvira,, et al., 2012). YAO derived values of the seven estimated evaporation method compared with energy budget method as reference method and the conclusion reached that in cold seasons, the best method to estimate of evaporation is water budget method and on shorter tome (Overview or monthly) DeBruin-Kejiman method gives the best results. (YAO, 2009). Armstrong et al in a study of several model for a seasonal time scale of 15 min were examined and Compared with the measured evaporation data results show that all three methods are suitable for use for periods longer than a day to evaporation has been estimated but none of the proposed methods for estimating daily or sub daily, continuously not reliable (Armstrong, et al., 2008). Gianniou and Antonopoulos in a study of water budget and energy budget methods, using a one-dimensional model of the distribution of daily temperature were estimated and finally concluded that the evaporation rate is rising in spring and low in summer, the energy is stored in the the reservoir (Gianniou, et al., 2007). Vardavas and Fountoulakis using monthly data and take advantage of Priestley- Taylor for four regions of the predicted results obtained by this method correspond with the observations (Vardavas, et al., 1996). Winter et al in a study, compared 11 evaporation estimation method using energy budget as the reference method, result was that the methods Jensen-Haise and Makkink gives better results than other methods (Winter, et al., 1995). Omar and El-Bakry using monthly data and using energy budget and aerodynamic bulk evaporation rate, the monthly regional Aswan Dam calculate and found that the maximum amount of evaporation 10.9 mm in the day and the lowest amount 3.8 mm was in the day (OMAR , et al., 1981). Schertzer calculated monthly evaporation values using the energy budget as reference method compared with the calculated values of the mass transfer method and water budget method, results show that the values of the water budget method more consistent with reference method (Schertzer, 1978).
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Theory and Application of Tacit Knowledge Transfer

Theory and Application of Tacit Knowledge Transfer

Tacit knowledge, regarding its essence, is a kind of “understanding”, comprehension, and the pro- cess of grasping and re-organizing experiences. Moreover, such ability can be controlled at will. However, spiritual understanding enables people to display the function of dominance and deter- mination of knowledge. Therefore, this study first proposed the tacit knowledge transfer mode; there are two major strategies for the Tacit Knowledge Transfer Method (TKTM): depict the es- sence instead of the appearance and understand spiritually. In other words, it allows learners to represent the knowledge learned and transfer it into body memory in order to apply it to similar situations through deduction and inference. This study aims to integrate Tacit Knowledge Trans- fer Method (TKTM) into sketch instruction. The first phase was “knowledge accumulation”: we used “Mu” way to accumulate drawing knowledge. The phase two was “knowledge transfer”: we used “Lin” way to transfer drawing knowledge. In the process, the students in Department of De- sign are divided into the experimental group and the controlled group for comparisons. Having seven design experts evaluate the teaching effectiveness on the two groups (Mixed and anonym- ous), aiming at students’ learning achievement. The experiment concludes two main results: firstly, based on the expert evaluation scores, Tacit Knowledge Transfer Method (TKTM) proves the sig- nificant effect of Tacit Knowledge Transfer Method (TKTM) on Perspective Accuracy, Line Stability, and Form Expressivity of freehand sketch; secondly, from the experiment process and survey re- sults, it was evident that Tacit Knowledge Transfer Method (TKTM) has direct correlation with participants’ assertiveness. If there is a conflict between norm knowledge the effectiveness of transfer will be reduced significantly.
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Automated Classification of Lung Diseases in Computed Tomography Images Using a Wavelet Based Convolutional Neural Network

Automated Classification of Lung Diseases in Computed Tomography Images Using a Wavelet Based Convolutional Neural Network

The neocognitron proposed by Fukushima in 1980 [20] could be regarded as the predecessor of CNN. It is a multi-layered convolutional network that can be trained to recognize visual patterns. A basic CNN consists of three components: convolutional layer, pooling layer, and output layer. With the multilayer structure by cascading these layers, the dimension of the pattern data of the input image gradually de- creases. Finally, the features of input image are mapped to the output layer (fully connected layer) for clas- sification. In this study, we utilize AlexNet [21] which is a well-known CNN-based model for classifica- tion. AlexNet has showed excellent performance in general image recognition and won the 2012 ImageNet [22] LSVRC-2012 competition. For constructing our proposed network, we utilized the first half part the pre-trained AlexNet (Hereinafter referred to as the pre-trained network ). And then we newly designed the second half part (un-trained fully connected layers) for our proposed network. With this network, transfer learning and fine tuning were performed. At the re-training phase, the wavelet coefficients obtained from the images were used as the input to the network. Region of interest (ROI) for suspected lesions in images was not provided. That is, the inputs for the proposed network are the wavelet coefficients of the entire image. After re-training, we classify the lung CT images into four categories using the proposed network. 2.1. Image Data Set
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Method Transfer.pdf

Method Transfer.pdf

Analytical Method Development, Validation and Transfer Analytical Method Development, Validation and Transfer Analytical Method Development, Validation and Transfer Analytical Method Development, Validation and Transfer Analytical Method Development, Validation and Transfer Analytical Method Development, Validation and Transfer Analytical Method Development, Validation and Transfer Analytical Method Development, Validation and Transfer

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Engine cylinder head cooling enhancement by mist cooling – a simulation study

Engine cylinder head cooling enhancement by mist cooling – a simulation study

Engine failures due to piston-seize in air-cooled systems are still reported in many cases, particularly in 2-stroke engines. The main factor which can be associated with this phenomenon is inadequate engine cooling due to poor heat transfer rates from the engine. The current work details the feasibility study carried out to improve air- cooled systems by means of mist cooling on the fin surfaces of an engine cylinder head. The wide potential of this method as indicated in literature studies suggests its use for the current application.
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An Analysis of Electronic Color Scanning Techniques for Application to the Dye Transfer Process

An Analysis of Electronic Color Scanning Techniques for Application to the Dye Transfer Process

affordable required scanner method a with differences transfer separation could used color and margin more film of produce producing conducted was materials transfer significant of and t[r]

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Inverse Method Applied for the Determination of the Wall Shear Rate in a Scraped Surface Heat Exchanger using the Electrochemical Technique

Inverse Method Applied for the Determination of the Wall Shear Rate in a Scraped Surface Heat Exchanger using the Electrochemical Technique

In this study, the inverse mass transfer problem is applied from results obtained for three polymeric solutions: 1) a highly viscous Newtonian Emkarox HV45 – water solution (80/20, w/w). Emkarox HV45 (from ICI) is a mixture of polypropylene glycol and polyethylene glycol. The dynamic viscosity of this HV45 80/20 solution is η=1.18 Pa.s. 2) a low viscous Newtonian solution of polyethylene glycol 35000 (PEG; η=40 mPa.s). 3) a shear-thinning guar gum solution whose rheological behaviour was modelled by two different power-laws according to the shear rate domains: n=0.44 and k=6.40 (Pa.s) n for shear rate domain ranging from 2 to 20 s -1 ; n=0.32 and k=8.91 (Pa.s) n for
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Local regression transfer learning with applications to users’ psychological characteristics prediction

Local regression transfer learning with applications to users’ psychological characteristics prediction

Abstract It is important to acquire web users’ psycho- logical characteristics. Recent studies have built computa- tional models for predicting psychological characteristics by supervised learning. However, the generalization of built models might be limited due to the differences in distribution between the training and test dataset. To address this problem, we propose some local regression transfer learning methods. Specifically, k-nearest-neigh- bour and clustering reweighting methods are developed to estimate the importance of each training instance, and a weighted risk regression model is built for prediction. Adaptive parameter-setting method is also proposed to deal with the situation that the test dataset has no labels. We performed experiments on prediction of users’ personality and depression based on users of different genders or dif- ferent districts, and the results demonstrated that the
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An experimental numerical method for estimating heat transfer in a Bridgman furnace

An experimental numerical method for estimating heat transfer in a Bridgman furnace

The method presented here estimated heat transfer coefficients using known reference temperatures in the heater and the crystalliser. For the heater system, the thermocouple for controlling the hot zone temperature was used to provide the reference temperature. Ideally, the surface temperature of the heater would have been used as the reference temperature; however, it is typical in high-temperature furnace designs to control the heater with a thermocouple in the vicinity of the heater which is not on the surface itself. This practical solution was deemed necessary and sufficient for future use. For the crystalliser, the reference temperature is simply the temperature of the water at the outlet of the crystalliser. This
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The Universal Grey Transfer Matrix Method and Its Application in Calculating the Natural Frequencies of Systems

The Universal Grey Transfer Matrix Method and Its Application in Calculating the Natural Frequencies of Systems

In order to analyze dynamic systems and to guide dynamic systems' design, effective methods for the calculation of the natural frequencies of systems are needed. The universal grey transfer matrix method is proposed in this paper. In this method, the universal grey theory and method are used to calculate the natural frequencies of dynamic systems by combining universal grey mathematics with a transfer matrix. A specific Matlab toolbox based on the proposed method is developed. Three examples are given to verify the proposed method.

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The linear Monge Kantorovitch linear colour mapping for example based colour transfer

The linear Monge Kantorovitch linear colour mapping for example based colour transfer

The independence assumption is simplistic and is rarely valid for real images. The poor quality of the transfer in the results in Figure 3-c shows that this is indeed not always the case. The solution proposed by Reinhard is to work in the decorrelated colour space lαβ of Ruderman [15]. This helps to some extent but cannot guarantee a full decorrelation between components. 4.2 Cholesky Decomposition

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Available Transfer Capability Enhancement with TCSC using Firefly Algorithm

Available Transfer Capability Enhancement with TCSC using Firefly Algorithm

A new iterative method for ATC calculation, which uses the base case power flow solution as the starting point was also proposedin[12]. It considers the control changes and does not require sequential solution of power flow, making it accurate and fast for realtime application. However, the assumption is made that system has large stability margin for both generator and voltage stability.The ATC value obtained from this method is lesser when compared to ACPTDF method[12].

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The second moment method, a new way to test a lens

The second moment method, a new way to test a lens

approximate transfer Two of The the method is proposed dimensional one spatial a moment to transfer function orthogonal function, the second moments line spread functions second moment d[r]

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HEAT TRANSFER IN ROUND TUBE USING CONICAL RING INSERTS: A REVIEW

HEAT TRANSFER IN ROUND TUBE USING CONICAL RING INSERTS: A REVIEW

Fig: Converging arrangement of three conical rings inside the test section of tube Mr. kumbhar D.G et.al.[4] in this paper experiment on heat transfer, friction factor and enhancement efficiency characteristics in the work two heat transfer enhancement device are applied i.e. conical coil insert and other is wire coil insert with the air as the working fluid. The result shows that nusult number values of 5 % to 12 % and enhancement efficiency of 0.78 to 0.98.

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An experimental method to determine the augmentation of heat transfer coefficient by cuo   water nanofluid

An experimental method to determine the augmentation of heat transfer coefficient by cuo water nanofluid

easily buy readily obtainable nanoparticles in market and then disperse them in the base fluid. However, it is well know that nanoparticles have a high surface energy which, in turn, leads to aggregation and clustering of nanoparticles and afte time, the particles will clog and settle down at the bottom of container. Partial dispersion may occur in the suspension which cause lower heat transfer enhancement compare to single step method, and hence, high amount of nanoparticles volume fraction is required. This method works well for oxide particle and carbon nanotube; however, it is less successful for metal nanoparticles.
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