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In order to improve the accuracy of SOC estimation for vehicle battery pack and optimize the management of the battery system, a new method based on deep belief network for remote correction of SOC accuracy is proposed in this paper. The monitoring data obtained by the remote monitoring center of the electric vehicle should be pre-processed before the establishment of deep belief network, which is...
Characters, which are man-made symbols composed of strokes arranged in a certain structure, could provide semantic information and play an indispensable role in our daily life. In this paper, we try to make use of the intrinsic characteristics of characters and explore the stroke and structure-based methods for character recognition. First, we introduce two existing part-based models to recognize...
The input and output characteristic of thermocouple vacuum gauge exhibits high nonlinearity, which comes from the gauges' inherent physical peculiarities and causes big error in measurement results. There is a need to make compensation of the nonlinearity for accurate measurement. In this article, a least squares support vector machine (LS-SVM) model is developed to function as a compensator with...
Text information contained in scene images is very useful for image understanding. In this paper, we propose a high-level representation named stroke bank for scene character recognition. Inspired by the work of object bank, we train stroke detectors and use detectors' maximal output as features. Specifically, we collect training samples for stroke detectors based on labeled key points. We also propose...
Detecting text in scene images is very challenging due to complex backgrounds, various fonts and different illumination conditions. Without prior knowledge, a detector previously trained using lots of samples still perform badly on a test image because of the disparities in distributions between the training samples and the testing ones. In this paper, we propose to adapt a pre-trained generic scene...
Boosting algorithm is used to improve the accuracy of algorithm in the learning field in recent years. It has been widely used in object detection because of its algorithm is simple, practical and implementation of high efficiency. It's not directly to construct a high precision algorithm, but by learning the many weak classifiers to form a strong classifier, which is different with other algorithms...
Statistical data shows that a driver who was lack of the ability to discover potential risk situation and safe driving awareness was more probably to cause an accident. The safe driving awareness was considered as a factor in contributing to vehicle crashes. In this study, a creative method to improve safety awareness based on driving simulator was proposed. Firstly, the definition and classification...
Coordinating structure is a special phenomena with high frequence in human languages. It enjoys a special status in linguistic theories especially in dependency grammars, which require the exceptional treatment. This paper proposes three schemes to analyse coordinating structure and builds dependency treebanks for automatic parsing. We find that different schemes to annotate and parse the coordinating...
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