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A digital closed-loop control system with all digital phase locked loop (ADPLL) is designed and optimized, in order to improve the bias stability and transient response of the gyroscope. The nonlinear mathematical models for the closed-loop amplitude and phase control system are established. The linearization method is applied to analyze the nonlinear models. The control parameters of the drive loop are optimized. The experimental results show that the phase deviation between the demodulation reference signal of the drive loop and the sense signal is less than 0.25° in the temperature range from-40°C to 60°C, within 0.15° of the variation. At room temperature, the overshoot amount of the gyroscope control system is 4.5% with setting time of 0.12s. The bias stability is 1.45°h. Compared to the analog control scheme, the digital control system has advantages of short setting time, small overshoot, short phase locked time, large locked range, high phase precision, etc.

In this paper, graphene nanosuspension was spray deposited using electrohydrodynamic atomization (EHDA) technique, and the polydimethylsiloxane (PDMS) was used as the substrate during the EHDA process. The effect of the PDMS substrate before and after oxygen plasma treatment on the characteristics of EHDA was examined. A cone-jet mode of the EHDA of graphene nanosuspension was obtained using the oxygen plasma treated PDMS substrate. In addition graphene films were deposited on the oxygen plasma treated PDMS at different working distances. The lowest sheet resistance of the graphene films is 127Ω·sq-1. Furthermore, graphene lines at the range of 30μm-170μm were fabricated using the template assisted EHDA deposition method.

Computer-aided diagnosis of Premature Ventricular Contraction (PVC) plays an important role in timely detection and treatment of arrhythmias. Conventional identification methods based on back propagation neural network (BPNN) get problems of overlong training time and local optimum. This paper proposes an application of improved BPNN on PVC identification and the improvements of BPNN are based on self-adaptive learning rate and momentum in training. Denoising and feature extraction of ECG signal obtained from MIT-BIH arrhythmia database are processed first. A comparison between standard BPNN and improved BPNN shows that the latter gets less training time and better accuracy.

Taking safety and quality management of power transmission and transformation projects as the main line, this paper studies the practice of construction management of 220kV and above power transmission and transformation projects in Jiangsu province after the system reformation of State Grid Jiangsu Electric Power Company, then refines the experiences and highlights in pre-planning, process management, implementation of management measures and other aspects. The new management mode of power projects with Jiangsu characteristics is established.

The main objective of this study is to explore prefabricated thermal insulation composite wall’s thermal performance in the project. Using infrared thermal imager and multi-point heat meter takes a test on office building envelope. The test results showed that the composite wall temperature change delay of 3 hours 12 minutes, the temperature change attenuation of 2.5 °C; The composite board exterior wall surface temperature attenuation is larger and the thermal stability of the structure is perfect; thermal bridge is the main reason for reducing the average thermal resistance of the wall.

In telemedicine, medical images are always considered very important telemedicine diagnostic evidences. High transmission delay in a bandwidth limited network becomes an intractable problem because of its large size. It’s important to achieve a quality balance between Region of Interest (ROI) and Background Region (BR) when ROI-based image encoding is being used. In this paper, a research made on balancing method of LS-SVM based ROI/BR PSNR prediction model to optimize the ROI encoding shows it’s much better than conventional methods but with very high computational complexity. We propose a new method using extreme learning machine (ELM) with lower computational complexity to improve encoding efficiency compared to LS-SVM based model. Besides, it also achieves the same effect of balancing ROI and BR.

Automatic detection of electrocardiogram (ECG) plays an important role in reducing pressure of nursing patients with heart disease. There have been many studies about ECG classification,which mostly based on machine learning, such as neural networks, extreme learning machine (ELM), and have reached a high accuracy. But it remains to be improved when applied in practice. In this paper, we propose a more practical method, namely the weighted ELM algorithm,which has better time performance and better generalization capability than traditional machine learning method. In particular,classification models trained by this method have better decision-boundary when faced with the imbalance ECG samples.

In poor coverage area of high-speed railway, the frequent handoff will increase the dropped-call rate. An approach to improving the quality of wireless communication is adding a relay between two base stations. Paper is about analyzing the dropped-call caused by handoff in this scene. This paper proposed a model for dropped-call probability through analyzing the handoff probability, same frequency interference and ping-pong handoff. Based on the simulation and comparison of the dropped-call model, we found that putting a relay between the base stations can significantly improve the dropped-call problem, and the peek rate of dropped-call decreased by an order of magnitude.

In this paper, an office building's indoor environmental parameters in winter are tested and its comfort and its influencing factors are analyzed. The study used a thermal comfort equipment to obtain parameters including dry bulb temperature, wet bulb temperature, black ball temperature, relative humidity and wind speed. Then these parameters are available to calculate PMV-PPD. The results showed that the range of PMV mean value is from-0.83 to 0.58 and the range of PPD mean value is from 8 % to 22 %.

In order to distinguish underwater targets, the method of target depth resolution urgently need to be developed. Matched field processing (MFP) is a passive detection method and it can be used to distinguish two targets at different depth. In this paper single vertical array MFP simulation has been done for targets depth resolution while they have same distance and azimuth in ocean acoustic field and the results show that the resolution is basically correspond to theoretical value.

The Sujia Road Bridge is under the construction,in order to ensure the construction will not have template problems,numerical simulation is needed.Analyze the internal force and deformation of the bridge pier template with the ABAQUS,and the results show that the internal force of the template is much less than yield stress.Therefore, the structure of the template can be optimized.

Energy scarcity, environmental protection and the development of economic is the inevitable issues in modern society. Take a low-carbon economy and energy conservation is the only way to coordinated between the three. Thus, To implement energy alternative strategy is imperative in Liaoning Province in terms of considering the grid smart, surplus, economy, which can guarantee the implementation of energy alternative. Therefore, in the process of implementation of energy alternative, it is necessary from the perspective of business and government to develop specifically safeguards and systems.

This paper studies early warning methods for major hazard of hazardous goods in port logistics hub. Firstly, identifying hierarchy method is proposed, after examining related interpretations of the discourse “major hazard” both in China and aboard, elaborating on the essences of this discourse, as well as analyzing its characteristics. Secondly, a comparative analysis of accident warning models which have been adopted at present with high frequency is conducted, through which we suggest a multi-sensor fuzzy data fusion early warning model. In addition, the index factors, the weights, as well as their membership, have been fixed by applying the methods of Analytical Hierarchy Process, and triangular membership functions. Finally, the application with examples demonstrates that this model has successfully achieved fuzzy integration of multi-sensor data, increased the accuracy of early warning-classification grading system, in addition to providing scientific evidence to port early warning management.

This document presents a high efficient method for interleaved active clamp flyback used in microinverter. The flyback converter was selected as a single stage topology that can boost the low PV panel voltages to a rectified AC output. How to handle the leakage energy for high efficiency and protecting the MOSFET ,how to calculate the parameter and choose the compenent also be showed in this document.

Aimed at the deficiency of the magnetic guide and RFID parking system used by substation inspection robot now, a laser navigation system is designed, and the system structure, the method of map building and positioning are all introduced. The system performance is tested in a 500kV substation, and the result show that the repetitive precision of navigation system is precise enough to help the robot fulfill inspection tasks.

Regional land use is an important source of carbon emissions .To some extent , the optimization land use will change the pattern and structure of human energy consumption .In this paper, we try to put forward a new approach to optimize the land use structure of the low carbon target in Zhangye .Three schemes for land use low-carbon optimization were proposed and analyzed, and the policy suggestions were put forward finally . Compare with the original plan, Optimization program in the year of 2020, the amount of carbon accumulation increase 124.1648 million tons, and carbon emissions reduce 1,152,100 tons. This indicates that the scheme for land use planning to achieve carbon reduction and carbon accumulation has important guiding significance.

This paper proposes that arrays of spatio-temporal data matrix was constructed by the arrays of the received signal delayed in time gradient, Meanwhile, applying the method of ESPIRT to get the twiddle factor of the received signal array element and the array element of the time and the space, finally get the final information of Doppler frequency and the information of arrival angle though applying least squares method.

Nowadays against corrosion problems during combustion of biomass boiler heating surface temperature exists for biomass boilers high temperature corrosion dirt sample for analysis of main components, combined with the characteristics of biomass fuels and related documents, studied the corrosion process of alkali metal High temperature corrosion of chloride effect on the heating surface, through a cross-sectional analysis of the morphology of corrosion products that can make a small amount of Cl continuous corrosion reaction, namely Cl plays a catalytic role since the final in order to prevent and delay the high temperature heating surface corrosion problems, the need for integrated control from the boiler design, fuel quality and run into the furnace to adjust and other aspects.

With the coal energy reduction and human concern for global environmental issues,briquette development imperative. Its coal utilization, environmental pollution, etc. is becoming a hot research by many scholars at home and abroad. The key lies in one of briquette binder choice, directly to biomass as a binder, not only to meet the basic requirements of briquette, such as reducing coal ignition point,but also the prospects for the full application of biomass development.

As the increasing popularity of smart TV, providing interactive and personalized TV video recommendation to TV viewers as on internet has been an urgent requirements for TV operators. To recommend a program to viewer satisfying individual interest, the classification of TV programs will be necessary, which should reflect the users' interests. This paper presents an approach for clustering TV programs with using users' VoD(Video on Demand) data. After analyzing the VoD data source, the VoD duration ratio is proposed as the measure of user's interest to a TV program. Through analyzing clustering result, it is observed of the implicit relation of user interest and we explained the relation.

In this paper, the basis function of TDCS system (Transform Domain Communication System) is used to design cognitive radar transmitter waveform. Based on the noise environment, the waveform can be adjusted adaptively. Then after clipping to reduce the PAPR (Peak to Average Power Ratio) of radar echo signal, the obtained signal is used as the next launch of the radar signal. The cognitive radar transmitter requires a nonlinear waveform to improve the efficiency of radar transmitter power amplifier, so reducing the PAPR of signal is essential. This paper presents the gray complementary sequence is applied to TDCS communication systems, and then it needs to reduce PAPR of signals by clipping. Proven, PAPR of the transmitted signal is maintained at about 3.25dB, and the signal has a low probability of intercept, high anti-interference ability and distant target detection range.

The wide application of the technology of the Internet of things has promoted the information society and improved the efficiency of our lives. But the heterogeneity of the strong coupling expansion of capacity and poor, high and networking equipment and application platform fragmentation made the matter long development cycle and a higher threshold status networking appear. In response to these problems, the article studies on the architecture and key technologies of web of things and designs the architecture of WoTSE model.

Fuzzy neural networks is a powerful computational model, which integrates fuzzy systems with neural networks, and fuzzy perceptron is a kind of this neural networks. In this paper, a learning algorithm is proposed for a fuzzy perceptron with max-product composition, and the topological structure of this fuzzy perceptron is the same as conventional linear perceptrons. The inner operations involved in the working process of this fuzzy perceptron are based on the max-product logical operations rather than conventional multiplication and summation etc. To illustrate the finite convergence of proposed algorithm, some numerical experiments are provided.

Hadoop, is becoming a necessary part of a large-scale data mining system. Therefore, this issue is exactly a kind of practice of data mining tasks on the hadoop distributed Systems. In this paper, the main task is to build a distributed cluster computation environment using hadoop and implement a data mining task in the environment. We select data clustering task as a representative, and select the K-means clustering algorithm to do in-depth research.

The grey theory is employed to establish the grey prediction-wind speed Weibull distribution model and calculate the Weibull distribution parameters according to the randomness and intermittence of the wind power output. The wind speed distribution of the wind farm and the effective wind power density are predicted accurately, the wind power and the electric fan efforts in generating capacity and other important data can be obtained according to the actual terrain wind farm wind speed data.

The region of Yushu has fragile natural environment. In 2010, it suffered severe damages caused by earthquakes. This paper subject, on the basis of status research of natural and cultural environment in Yushu area and urban public facilities across the world, is aiming at a design attempt of public facilities suitable for Yushu area under the guidance of sustainable-development design theory. After constructing computer models, we made physical models to further test the reliability of our scheme. The overall design acts according to circumstances, and makes it environmental friendly, developmental sustainable, economical, aesthetic, practical and reliable. We also added to our design some local characteristics to make it better integrate into the local natural environmental features so that it could be widely used. In the end, we summarized the pros and cons of the scheme through theoretical analysis of our design process, despite that, in June 2014, we had an on-the-spot investigation in Yushu, and according to its current state of development, we made outlooks of our further scheme practice.

The rapid development of lithium ion battery has provided a broad space for every profession and trade, but the temperature change of the lithium ion battery is relatively sensitive, should strengthen the lithium ion battery thermal management system. In this paper, using COMSOL MUTILPHYSICS software, the lithium-ion battery forced convection cooling numerical simulation research , comparing its temperature changes. We conclude: when forced convection temperature is high, the flow speed is high, the cooling effect is better; near the cooling entrance closer, the cooling effect is more obvious, and has important significance to the lithium ion battery radiating and rational utilization.

Foam concrete products had high absorption rate due to a large number of bubbles dispersion in it.which has serious effects upon the overall thermal performance of material and the durability of construction.Three methods were studied which includes Organic Silicon hydrophobic agent、High fatty acids hydrophobic agent and hydrophobic agent F in order to reduce the water absorption rate.Results show that the water absorption rate was reduced significantly with mixed High fatty acids. The water absorption rate drops of 68.2%, and the organic silicon is in a second place , and the hydrophobic agent F is the worst.

A facile one-step method of growing nickel/iron layered double hydroxide (Ni/Fe-LDH) films with nanosheet structures on Ti sheet is presented and the electrochemical performance is investigated. Cyclic voltammogram of Ni/Fe-LDH electrode shows a pair of well-defined redox peaks at-0.4~-1.4 V, which is quite different with the previous reports on LDHs used for supercapacitors. This result implies the Ni/Fe-LDH may be an alternative for the cathode of the asymmetric supercapacitors.

To solve the problem of the variancy of the wind power when wind farm connect with the power grid, a wind power predicting model of wind farm based on double ANNs is proposed in the paper. Wind velocity and wind direction on wind farm are the key of wind power predicting, and other circumstance conditions such as temperature, humidity, atmospheric pressure, are also great influence on it. The observed values of these five circumstance conditions can be treated as a nonlinear time series and be analyzed by the nonlinear time series ANNs model. The wind power predicting model consists of double artificial neural networks. The first is consisted of five artificial neural networks which is used to prediction the circumstance conditions time series, the second is employed to prediction the power of wind farm use predicting value of the five conditions. A series of simulation show that the results of the predicting model is acceptable in engineering application.

As a new type of lithium-ion energy should be in a wide range of industries , the battery 's own battery temperature is facing a serious problem . Based on the three-dimensional applications based on COMSOL MUTILPHYSICS software was simulated using the control variable method and compared the results of its analysis. Application of COMSOL MUTILPHYSICS software to simulate the three-dimensional basis, using control variable method, and the results were compared. The results show that, when the temperature is high or when the battery discharge times, rising temperatures in the region better, faster and more; heat of reaction generated; also get a cell center along the radial direction, the temperature is gradually reduced.

Using a soil column experiments to analyze the influence of different density of one dimension vertical infiltration of water infiltration rate, cumulative infiltration and wetting front. The experimental results showed that the bulk density of the infiltration rate, cumulative infiltration and wetting front has a significant impact. Infiltration rate, cumulative infiltration and wetting front were decreased with increasing density in the same period of infiltration. The greater the soil bulk capacity, the larger the infiltration decrease ration μ and η, respectively compared to the based accumulative infiltration and the based wetting front depth.

In this work, an adaptive sliding mode control method is presented to achieve output synchronization tracking for the uncertain hyper-chaotic Lü system. An adaptive piecewise linear (PWL) filter is used to identify the uncertain hyper-chaotic system. Base on the identification results, an adaptive sliding mode controller is designed to obtain output synchronization tracking for the hyper-chaotic Lü system. The convergence condition of the adaptive PWL filter is derived based on the Lyapunov theorem. Simulation is done to verify the effectiveness and correction of the proposed identification and synchronization tracking control method.

In this paper, a hybrid methodology that incorporates a simulated annealing (SA) approach into the framework of variable neighborhood search (VNS) is proposed to solve the blocking flow shop scheduling problem with the total flow time minimization. The proposed hybrid algorithm adopts SA as the local search method in the third stage of VNS, and uses a perturbation mechanism consisting of three neighborhood operators in VNS to diversify the search. To enhance the intensification search, best-insert operator is adopted to generate the neighbors in SA. To evaluate the performance of the proposed hybrid algorithm, computational experiments and comparisons were conducted on the well-known Taillard’s benchmark problems. The computational results and comparisons validate the effectiveness of the proposed algorithm.

The bone substation grafts, such as hydroxyapatite, TCP, have been used in the clinical. But it is found that they are not capable of enhancing bone regeneration due to their poor osteoinductive compared with allograft and autograft. In order to increase the osteoinductive, bone morphogenetic protein 2 (BMP-2) has highlighted to incorporate into a three dimensional reservoir. The purpose of the present study was to develop a novel drug delivery system with the capability of controlled releasing BMP-2. In this study, BMP-2/Chitosan (CS) microspheres were succeeded loaded on the deproteinized bovine bone (DBB) scaffold. The release profile of BMP-2 study indicated an initial burst release followed by a sustained release. In vitro bioactivity assay revealed that the encapsulated growth factor was biologically active as evidenced by cell culture. Therefore, the novel strategy of this microspheres-scaffold system is potentially to utilize the bone tissue engineered.

The question of metro safety is one of the hot areas of current research. Subway accident will not only cause a lot of casualties, but also caused widespread traffic jams, to which is very important to pay close attention. Through the analysis of potential safety hazard of metro interchange station and the distinguishing feature of the technology of multi-agent, this thesis pose a new application of multi-agent in emergency events of metro station.

In this paper, the time series of annual precipitation of Poyang Lake were analyzed which use timing diagrams, autocorrelation analysis, the center moved smoothed analysis spectral analysis and other methods. It was found that the time series of annual precipitation of Poyang Lake is a random strong non-stationary time series; there is a slow increase in long-term trends and changes in the quasi-periodic sequence of 3 years and 25 years.

A master oscillator power amplifier (MOPA) structured double-clad Yb-doped pulse fiber laser was presented, center wavelength of 1064nm, pulse width adjustable between 53ns-147ns, repetition rate adjustable between 50kHz-200kHz. Through external cavity frequency-doubling with a KTP crystal, the green light visibly of 532nm by fundamental beam of 1064nm was obtained. The highest frequency doubling efficiency was 16.2% when repetition rate of 50kHz and pulse width of 53ns. Relation of fundamental input beam and frequency-doubling output beam were studied through change the pulse parameters of fundamental beam and length of KTP crystal, the influences of fiber laser frequency doubling efficiency were analyzed.

Considering the physical layer specification of the IEEE802.11 protocol as background, a novel LSE (least square estimation) algorithm based on power-delay profile of wireless channel is proposed. In multi-path time-variant channel, receiver carries out a primary MMSE estimation using training symbols and pilots of OFDM symbol firstly. Then the channel impulse response is obtained from frequency response estimated by MMSE. Finally, LSE algorithm is applied to revise the channel impulse response according to the power-delay profile. The LSE algorithm can reduce the noise level of MMSE estimation in time-domain which is equivalent to increasing the SNR to the output of 2-D wiener filter. Simulation results confirm that the proposed LSE algorithm gains a better performance in contrast to MMSE algorithm. As the Doppler frequency shift increases, LSE outperforms more significantly than MMSE algorithm.

In recent years, 66kV vertical TCR-type SVC was put into operation in several transformer substations at home. Compared to the compensation mode of the conventional 35kV SVC which is connected to 66kV busbar through by way of step-down transformer, the vertical compensation mode has the advantages of low loss and small maintenance amount. However, it is found that damage of phase controlled reactor in TCR happens in several scenes, and the technicians and research institutions studied this problem from such aspects as phase controlled reactor manufacturing process, SVC control strategy and natural environment of the transformer substations and obtained their own conclusions. This paper uses PSCAD software to conduct a simulation research on the 66kV vertical SVC system installed on a 220kV transformer substation at home and concluded that the SVC switching overvoltage might be the direct cause leading to damage of phase controlled reactor.

The stochastic two-sided assembly line is a special line in which workers perform assembly tasks in both sides of the line and the task time is not deterministic. In the improved teaching-learning-based optimization (ITLBO) algorithm, teacher and learner phases are modified for the discrete problem, a novel merging method is proposed to construct the new evolutionary population and Late Acceptance Hill-Climbing (LAHC) is integrated into the self-learning phase to obtain high quality solutions. The experimental results validate the effectiveness of the proposed algorithm.

Multiple-valued logic is an extended form of Boolean logic. In daily life, people often encounter the problem about the multiple-valued logic. With further study on Boolean logic, multiple-valued logic has been paid more and more attention by researchers. This paper achieves the operation of AND gate in three-valued logic by using the DNA hairpin structure. The experiment makes the DNA hairpin structure as the basic structure, and the molecular beacon as the input signal, and at last judges the logical results according to the intensity of fluorescence and gel electrophoresis. This method has the advantages that it has high sensitivity, good feasibility, and it is easy to observe. In addition, this method reduces the hybrid competition to a certain extent, and it is a new attempt to the research on multiple-valued logic.

This paper mainly designs the outdoor swimming pool circulation purification system, introduced the circulation mode selection, calculation of water cycle, and we proposed water purification treatment measures. After filtration and disinfection of swimming pool water, which achieve the "Hygienic standard for swimming place" (GB9667-1996) that regulations on "the quality and hygiene standards" artificial swimming pool, which can be recycled.

It’s very important to ensure the safety of buildings by using information technology in the dynamic monitoring of masonry. The digital camera in this research is non-measurement camera which has no box marks and orientation equipment, so it’s hard to get instant photography and external orientation elements. But we use methods to establish a reasonable mathematical model, this makes the monitoring possible.

Static stress analysis on arm of ladle turret is based on finite element (FE) theory and shell theory by finite element software ANSYS. In this paper, an arm subjected to a multi-axial state of stress is examined both numerically and experimentally. The hot spot strains and stresses in the connection are determined through a detailed finite element analysis (FEA) of the joint. The arm geometry is accurately modeled using FE. Check the dangerous position on the side of the arm by different safety factor. For the experimental study, a test rig is designed and used to validate the FE model. Gain the impact factor of the arm. According to finite element calculations, assesses the fatigue strength by stress ratio method and stress amplitude method on the weld.Structural improvement is performed with increasing thickness and changing the location of the force.

With the continuous development of CNC technology, its application is more and more extensive. In recent years, the application of CNC technology in the area of stage also made great achievements. This paper detailed a scientific and reasonable scheme of acrobatic stage machinery and its control part, using CNC technology in acrobatic stage, through the corresponding algorithm and software realizing the operation and control of any trajectory in 3D space, taking advantage of intelligent editing function of screen running track, and compared with the traditional acrobatic stage , it gets more flexible, stronger strain capacity.

A new method to predict wave spectra is presented in this paper, which is based on X-band radar. Traditional methods to research ocean wave are usually based on the hypothesis that ocean wave is a stationary random process, which is proved to be not right. X-band radar is a remote sensing, ship borne equipment, which can measure wave information in real time conveniently. And the wave spectra measured by this equipment can represent non-stationary of ocean wave. In this paper wavelet decomposition and neural network is combined to predict wave spectra thus the trend how the ocean wave develop can be reflected. The experiment results show that this method is relatively credible.

This paper presents a projection on the basis of the true 3D imaging display system and analyzes construction for the voxel. We proposed a new method based on the theory of high-speed projector - Three DMD/OLED coaxial optical path display. We did some experiments about the clock distribution for the coaxial optical path. The innovation improves frame rate and operating stability for the display device, reduces the high frame rate on one single device. We also found a new approach - local state-space model - Fornasini-Marchesini for constructing the volume pixels. The mechanism is simple to build and low price; the optical field can be displayed in the whole above x-y plane except the zenith point.

The paper introduces the way of solid modeling and wire frame modeling, described modeling ways from drawing the general outline of the form, to using the general model to make out the general modeling of form, to making the whole effect of the animation by combining with concrete examples which are pf rapid and convenient application value in promoting design speed, enriching expression effect (surface modeling), optimizing design process. It is beneficial to play the design wisdom, give consideration to both economic and social benefits. Its modeling is easy to meet consumer demand for fresh and exaggerated things, and helps to clear the market demand, good commodity modeling and its industrialization prospect.

Development of normal stress in the direction perpendicular to the asphalt mixture is an important feature of the nonlinear viscoelastic behavior of asphalt binders. In this paper, this phenomenon was studied with the help of stress-relaxation experiments in torsion. Results indicate that stress relaxation test by controlling strain could be used to evaluate the stress relaxation ability of asphalt mixture. With the aging degree of asphalt mixtures increased, the low temperature cracking resistance got worse; the higher the temperature is, the faster the stress relaxed; the smaller the initial strain, the worse the stress relaxation ability also. The viscoelasticity of asphalt mixture could be simulated by exponential model fractional and the experiments well supported the modeling results.