ABSTRACT In order to satisfy the low VOC and temperature resistance of coating requirements in cigarette printing industry. Waterborne polyurethane polyacrylate emulsion (WPUA) was synthesized with thermotolerant polyester diol (NCL), 4,4’-dicyclohexyl methane diisocyanate (HMDI) and methyl methacrylate (MMA) as raw materials, using both carboxylic acid and sulfonate as hydrophilic chain extender agent. WPUA with zero VOC and no triethylamine was prepared by solvent-free method to meet the requirements of cigarette packaging industry. The WPUA emulsions and films were characterized by FT-IR, transmission electron microscope (TEM), particle size analysis and thermogravimetric analysis (TGA). The effects of different kinds of isocyanates, polyalcohol and chain extender on thermal stability of the WPUA films were investigated. The results showed that the average particle size of the emulsion was reduced due to the addition of aliphatic diamine sulphonate (AAS). TGA results showed that the decomposition temperature of WPUA film synthesized by NCL, HMDI and novel chain extender hydroquinone bis(-ethyl) ether (HQEE) was higher than that of WPUA film synthesized by polycaprolactone diol (PCL), isophorone diisocyanate (IPDI) and 1,4-Butanediol (BDO), the decomposition temperature increased by 60.96 C, 69.37 C, 139.70 C when the mass loss rate of WPUA film was 20%, 30%, 50%. And glass transition temperature (Tg) of polyurethane increased with the enhancement of the symmetry and rigidity of molecules.

ABSTRACT Research in moving object tracking has shown significant progress towards application in recent years. However, single sensors suffer from illumination variations for the vision sensor and low directional resolution for the radar. In this paper, we propose a moving object tracking method that fuses radar and vision data. First, false radar objects are filtered out. Second, an adaptive background subtraction method is used to detect candidate regions in images. Finally, moving objects are determined when the effective radar objects are in the candidate regions.

ABSTRACT In job shop scheduling problems, the previously used nonpreemptive schedules are semiactive, active, and non-delay schedules, and they are initially designed for traditional scheduling performances and do not take energy efficiency into consideration. To fill the gap, this article presents a novel class of nonpreemptive schedules by investigating the special properties of job shop scheduling problems. Then, an energy-efficient generation procedure of the novel nonpreemptive schedules and the standby policy are proposed. An improved genetic algorithm is introduced with three superior features, including the elitist selection, the improved generation alternation model, and the operator decision mechanism. The Friedman test and the Holm multiple comparison test are conducted on experimental results to determine the appropriate parameter for the proposed genetic algorithm. Finally, the computation results and two-sample t-tests show that both energy-efficient generation procedure and standby policy help to reduce energy consumption without worsening production efficiency.

ABSTRACT Economic growth increases the demand for electricity, and forecasting electricity loads is critical for providing cheaper electricity. Conventional time series methods have been applied to forecast electricity loads. However, traditional statistical methods, such as regression models, are unable to address nonlinear relationships, such as those of electricity loads. Moreover, most time series models which use electricity load data with many factors, such as climate conditions and region environments, involutedly would reduce the forecasting performance. To overcome these problems and improve the forecasting ability of time series models, this paper proposes a hybrid one-step-ahead time series model that is based on support vector regression (SVR), empirical mode decomposition (EMD), and a genetic algorithm (GA) to predict electricity loads. The experimental results were generated from 2 electricity load datasets from various countries, and the proposed model was compared with several models. Our findings indicate that the proposed model outperforms the other approaches in terms of mean absolute percentage error (MAPE).

ABSTRACT The build-up rate and steering force of the wellbore trajectory control tool has a close relationship with its shaft deformation, which mainly depends on the eccentric movement of the shaft and its flexural deformation. In combination with the working principle of the shaft of the tool, the deformation motion of the shaft was analyzed first, based on which, the flexural equation of the shaft at the static bias state was deduced as well as its angle equations, bearing reaction equations and bending moment equations. According to the deduced equations, the mechanical model of the shaft was established and optimized. To test and verify the reliability and feasibility of the model, the lab simulation experiment was carried out by using the dynamic simulation test bench of the wellbore trajectory control tool, and the bit deflection angle was acquired. A comparison was made between the data from the model and the one from the experiments. The results show that the data measured in experiments is very close to the data derived from the theoretical equations, thus verifying the feasibility of the established mechanical model of the shaft, which provides reference for the shaft design of the wellbore trajectory control tool.

ABSTRACT In large-scale campus networks, there exists significant requirements for exchanging a large amount mobile data. Smart mobile devices are facing the problem of long transmission time and large energy consumption when accessing the XML-based web services. Therefore, how to develop a novel web service model for reducing both time and energy consumption has become an important issue. In this paper, a data exchange model called CMDE is proposed. The proposed CMDE model is based on EXI (efficient extensible interchange) standard and adapts to smart mobile devices with limited resource. The set theory isused to describe the CMDE model formally, and the data process and system efficiency are also analyzed. In order to check the efficiency of the CMDE model, a prototype system is developed and deployed in real campus environment. The experiment shows that CMDE model performs better than traditional model with remarkable reduction of transmission data volume, bandwidth occupation and time consumption with out obvious increasing of battery consumption.

ABSTRACT This paper presents a study in which an attempt has been made to reduce ice accretion of aircraft wings by optimizing the design parameters using Taguchi method. CFD have been used for simulating ice accretion in various conditions. The effects of the seven design parameters such as altitude, angle of attack, yaw angle, icing temperature, air speed, characteristic length and median volume diameter (MVD) are investigated. The analysis of the results then are shown in S/N ration plots which indicating which combination of parameters leads to minimize ice accretion. Analysis of variance demonstrates that, among the design parameters, as opposed to characteristic length and altitudes, having the lowest effect, MVD and air speed have the highest one. In the end, a general linear model for the amount of ice is obtained to show a proper correlation between the mass of ice created and other parameters.

ABSTRACT With the introduction of glycidyl methacrylate (GMA) and allyloxy hydroxyl propanesulfonic salt (AHPS) to the waterborne polyurethane/polyacylate (WPUA) emulsion, a stable epoxy-modified waterborne polyurethane/polyacylate (EPUAS) composite emulsion with high solid content had been obtained. The structure and morphology were characterized by Fourier transform infrared spectroscopy (FTIR), transmission electron microscope (TEM) and X-ray diffraction (XRD). The GMA content and the AHPS content on properties of the emulsion and films were discussed. The FTIR results showed that GMA and AHPS both reacted with WPUA. A core-shell structure is observed by TEM. The properties of EPUAS emulsion and films were improved by modification.

ABSTRACT Traffic incident detection is an essentialpart of the intelligenttransportation systemand attracts lots of attention from researchers in different areas. To reduce the computation and to avoid overfitting of the traditional feed-forward neural network, an extreme machine learning is implemented to detect traffic incidents. Using the real-world data, the proposed model is compared with feed-forward neural network and other two commonly used models by several evaluation criteria. The results indicate the proposed model has the highest accuracy, detection rate and lowest false alarm rate. Moreover, it consumes less time. In conclusion, the performance of the proposed model is better than other benchmark models and suit to detect traffic incidents.

ABSTRACT The objective of this paper is to investigate the dynamic characteristics of two adjacent building structures interconnected by viscous dampers under seismic excitations. The computational procedure for an analytical model including the system model formulation, complex modal analysis and seismic time history analysis is presented for this purpose. A numerical example is also provided to illustrate the analytical model.The complex modal analysis is conducted to determine the optimal damping ratio and the optimal damper coefficient of the linear viscous damper for each mode of the system. For the damper coefficient with optimal value, the responses can be categorized into under damped and critically damped vibrations. The seismic time history analysis is conducted to assess the effectiveness of the linear viscous damper for vibration control. Based on the optimal damping ratio and the optimal damper coefficient of the linear viscous damper for a certain mode of the system,compared to the peak responses, the linear viscous damper can be used to more effectively suppress the root-mean-square responses of the two adjacent buildings.