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Radiation thermometry is one of the important ways to obtain target temperature, which mainly includes dual-waveband colorimetric temperature measurement. The precision is limited by atmospheric transmittance and the air path radiation when infrared signature of a target measured in the atmosphere. To increase the precision, a correction-based dual-waveband color comparison thermometric method is...
The increasing demands on the indoor location service inspire the wide attentions to investigate the indoor position algorithms. Access point (AP) selection is critical important for increasing the estimation accuracy of the indoor location. In this paper, the key features in influencing the accuracy of indoor location systems are investigated. Base on the analysis results, we present an AP selection...
Submerged arc furnace is a system with strong coupling, nonlinearity and time-variability. In this paper, a logistic-interpolation-based fuzzy controller for electrode regulation of submerged arc furnace is proposed. The proposed controller is based on fuzzy logic control strategy, and interpolation algorithm is employed to improve the control accuracy without raising complexity of the controller...
According to the existing problems in the WLAN fingerprint positioning technology and wireless signal propagation characteristics under indoor environment, this paper proposes a indoor location method with better rapidity and higher positioning accuracy. WLAN fingerprint positioning method is improved from three aspects in this article: first of all, through Kalman filtering, the data of signal fingerprints...
A transform domain algorithm using channel selecting is proposed for visual saliency in this paper. This algorithm is able to improve the accuracy of the traditional transform domain saliency detection while preserving their advantage of fast processing speed. Based on the image signature algorithm, we select the channels by calculating the correlation values between each channel. Then, the selected...
By introducing the fractional-order difference into the updating formulas of the velocity and position, fractional-order particle swarm optimization algorithm is proposed. The effects on the convergence rate and accuracy are analyzed, by introducing fractional-orders in the updating formulas for the velocity and position. Moreover, the linear increasing methods to adjust the fractional-orders are...
Firstly, this paper established an optimization model on laying photovoltaic battery with the optimal horizontal obliquity aiming at maximum radiation intensity and the slope obliquity as the decision variable. Then, proposed an “Embedded Search Algorithm” to solve this model. The algorithm not only has high computation efficiency, but also can according to the requirements of the project to achieve...
Gesture is a natural and intuitive mode of interpersonal communication, which can simulate language and behaviors to express certain meanings and words. In this paper, an embedded gesture recognition system has been designed and developed using a data glove. The design of a data glove is aimed at supplying a auxiliary communication tool for deaf people so that there is more social intercourse between...
Seasonal adjustment plays a significant role in the analysis of current social and economic conditions, particularly in determining the stages of the business cycle at which the economy stands. Nowadays the most popular method for seasonal adjustment in time series forecasting is the X-12-ARIMA algorithm, etc. All of these methods are sophisticated and difficult to understand and not suitable for...
Accurate real-time vehicle location technology in the fast-moving condition is one of the core content of the research field of vehicle active safety and automatic driving. The traditional technologies, like vehicular device-based distance sensors, satellite positioning, roadside beacon, the electronic map matching, are difficult to achieve precise positioning of the vehicle at high speed. In this...
The online traffic flow prediction is an important part of the road-traffic management system. If the traffic flow prediction real time capability is not strong enough, the prediction outcomes will become uncertain. The adaptive particle filter algorithm suggested in this paper is based on confidence level. And this algorithm can adaptively adjust the number of the particles according to the state...
The evaluation method of knowledgeable manufacturing system is proposed to solve the selection of system caused by the diversity of knowledge mesh. According to the structure and generation of knowledge mesh, the metrics, which are the satisfaction degree of function, the redundancy degree of function, the relative amount of knowledge, the redundancy degree of multiple-number, the order degree and...
Structure learning of Bayesian Network (BN) is one of important topics in machine learning and widely applied in expert system. The traditional algorithms for structure learning are usually focused on the batch data in nature. It is difficult to learn the structure quickly from the huge amounts of data. But in many practical applications, the structure of BN should be learned by using time-series...
Tree Augmented Naive Bayes Classification (TANC) is not very well to deal with continuous data and it ignores partial data in the absence of data attribute value and this can reduce the result accuracy. To resolve this problem, an improved algorithm based on C4.5 is proposed in this paper. The proposed algorithm firstly modifies the available training data according to the predictions of C4.5, then...
For conventional fuzzy control system in the process of control accuracy is low, this paper proposes a fuzzy control system offline to get fuzzy control table with Taylor interpolation algorithm, through online calculation control output of the system. Simulation results show that the method has fast response, no overshoot, steady-state error is small, the advantages of combining simulation examples...
Node localization of wireless sensor network is a hot topic, but current algorithms of 3D wireless sensor node localization are not accurate enough. In this paper, the DR-MDS algorithm is proposed, DR-MDS algorithm mainly calibrates the coordinates of nodes and the ranging of nodes based on multidimensional scaling, it calculates the distance between any nodes exactly according to the hexahedral measurement,...
Although prolonging network life time in target tracking has been extensively studied in the literature of wireless sensor networks, the problem of energy efficiency with well tracking performance is still an open issue. In lots of exited works about target tracking in WSN, energy cost and uniform sampling interval was taken into consideration. While it ignored the remaining energy selected sensors...
Based on electrical capacitance tomography (ECT) technology and support vector machine (SVM) algorithm, a new method for all-around identification of two-phase flow pattern is proposed combining radial information with axial information of the gas-solid two-phase flow. Compared with the conventional sectional identification method, this method adds another axial one and thus providing more information...
This paper mainly studies the hourly water demand forecasting performances of water supply system in shanghai with LS-SVM. The teaching-learning-based optimization (TLBO) is adopted to adjust the hyper-parameters of least squares support vector machine (LS-SVM). To improve the forecast accuracy, An ameliorated TLBO algorithm called ATLBO is introduced. The experimental results show that the model...
Eye detection is required in many applications in human-computer interaction, which plays an important role in screen control, user recognition and auto-stereoscopic displays. Considering the defects of traditional methods of human-eye detection, an accurate human-eye-detection algorithm has been proposed. This paper proposes a novel technique combining the Adaboost algorithm and a hybrid matching...
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