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In the task of cross-language sentiment classification, the monolingual machine learning based approaches suffer from the shortage of available sentiment resources in target language. In order to reduce the cost of labeling the documents from a new language, many proposed approaches transfer the sentiment knowledge from resource-rich languages (e.g. English) to resource-poor languages (e.g. Chinese)...
The accurate and rapid detection of voltage and current in non-sinusoidal and unbalanced voltage condition is the prerequisite for grid power quality management and stable operation. Based on analyzing the vectors of the grid voltage and current, the rotating vector detection is carried out which can detect the voltage and current specified harmonic component and reactive and active current in non-sinusoidal...
A new time-delay estimation method based upon Cubic spline interpolation and Area bary center algorithm that is well suitable for determining the time-delay between two noisy band-limited signals is introduced. Unlike conventional correlation algorithm, the new approach has the ability to optimally estimate any non-integral sample delay only using Cubic spline interpolation and Area bary center algorithm...
Traditional methods for positioning accuracy is not high and takes long time consuming problem. A real-time positioning algorithm is proposed based on improved median filter people trapped in the thick fog. first of all, Visual zoning of heavy fog environment is initialized, after initialization operation, to average filtering processing of heavy fog environment, and the heavy fog in the environment...
This paper studies a method to improve the measurement accuracy of in-orbit test (IOT) for the Ka-band communication satellite payload. Since ground telemetry and command station of this satellite operates at low elevation, Ka-band atmospheric attenuation and fluctuation are much large. Due to lack of effective way to separate the influence of atmospheric attenuation, IOT processing has to employ...
A novel active disturbance rejection station-keeping control approach is proposed and analyzed for stabilization of spacecraft flight on cislunar point orbits of the Sun-Earth system. It is an error driven, rather than model-based control law, essentially accounting for the independence of model accuracy and linearization. From the combination of tracking differentiator, extended state observer, and...
As documents are explosively increasing in the era of big data, document clustering has been proven to be useful for organizing online document streams into events. However, extant studies on document clustering still suffer from the problems of high dimensionality, scalability and accuracy. In this paper, we will present a novel association link network (ALN) based document clustering method, which...
Recently, sparse coding-based algorithms have achieved high performance on several popular scene classification benchmarks. Yet extensive efforts along this direction focus on strategies for coding and dictionary learning, few works have addressed the problem of optimal pooling regions selection. In this work, we show that the Viola-Jones algorithm, which is well-known in face detection, can be tailored...
In this paper, an efficient geography registration method for INSAR coherent change detection is proposed. In the algorithm, considering Terra-SAR image, firstly we do geography registration on two images by oversampling the geography information in master image, then do coarse and fine registration. In coarse registration, find the range and azimuth shifts by calculating the cross correlation of...
The sub-pixel subdivision algorithm of image processing and measurement is studied in this paper. On the basis of the principle of sub-pixel subdivision, and combined with the gradient direction of boundary points using Gaussian curve interpolation algorithm, the location of the boundary points has been located to sub-pixel level. Through the comparison of sub-pixel subdivision experiment conclusion...
Affine moment invariants are important shape descriptors in pattern recognition and computer vision. Existing affine invariants methods are based on geometric and complex moments. In this paper, we propose a set of affine invariants extracted from Legendre moments. These invariants are derived by the relationship between the Legendre moment of the affine transformed image and that of the original...
The machine tool accuracy is comprehensively affected by geometric, thermal, and cutting force-induced errors. A key step in accuracy design and error compensation is error origins analysis. The object of this study is a MCH63 Precision Horizontal Machining Center. Based on the volumetric error model and using the measurement of error origins, the effects of geometric, thermal, and cutting force-induced...
A daily gas load forecasting method based on Support Vector Machine theory is developed in this paper. Some aspects of data preprocessing are discussed, such as normalization method, data grouping method and the period of history data using as input vector. Proper normalization method, which is to map gas load data from the small and narrow range to the big and wide, will improve the forecasting accuracy...
Ultrasonic flow meter has been widely applied in the area of meteorology, petroleum, chemical engineering, medicine, water resources management and so on, owing to its advantages of high-accuracy, non-blocking measurement, easy installation and low cost. The A/D conversion circuit design is the core of the data acquisition system for high-accuracy ultrasonic flow meter. According to the data acquisition...
The completeness property of the invariant descriptors, which is of fundamental importance from the theoretical as well as the practical points of views, has been investigated by several research groups. In this paper, we propose a new approach to derive a complete set of pseudo-Zernike moment invariants. We first establish a relationship between the pseudo-Zernike moments of the original image and...
Question classification plays a crucial important role in the question answering system. Recent research on question classification for open-domain mostly concentrates on using machine learning methods to resolve the special kind of text classification. This paper presents our research about Chinese question classification using machine learning method and gives our approach based on SVM and semantic...
Network forensics supports capabilities such as attacker identification and attack reconstruction, which complement traditional intrusion detection and perimeter defense techniques in building a robust security mechanism. Attacker identification pinpoints attack origin to deter future attackers and attack reconstruction can reveal attack causality and network vulnerabilities. In this paper, we study...
Objective To evaluate the accuracy of computer-matched records for maternal and child health epidemiologic investigations. Methods Using Automatch probabilistic record linkage software, we linked electronic records in Georgia for the 2001 Medicaid paid delivery claims and infant deaths of the 2001 birth cohort to 2001 births, and the 2002 newborn screening and hospital discharge data to 2002 births,...
Due to the higher dimensional and nonlinear properties of the gene sequences, traditional self-organizing feature maps can't identify splice sites effectively. To circumvent the parameters study of the self-organizing feature maps, a method is presented based on the Kalman filter and the unscented transform which can identify splice sites effectively. By identifying the splice sites form long-scale...
A hybrid mechanism is a configuration that combines the motions of two characteristically different electric motors by means of a mechanism to produce programmable output. In this paper, by means of establishing mathematic model for the influence of output accuracy of a planar hybrid five-bar mechanism affected by manufacturing error of link length, the sensitive coefficient of manufacturing error...
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