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Recent years have witnessed a growing interest in developing automatic parking systems in the field of intelligent vehicle. However, how to effectively and efficiently locating parking-slots using a vision-based system is still an unresolved issue. In this paper, we attempt to fill this research gap to some extent and our contributions are twofold. Firstly, to facilitate the study of vision-based...
This paper proposes a speech/music classification system based on i-vector. An analysis of two classification methods, namely cosine distance score (CDS) and support vector machine (SVM) is performed. Two session compensation methods, within-class covariance normalization (WCCN) and linear discriminant analysis (LDA) are also discussed. The performance of proposed systems yields better results compared...
The precondition of productive data mining is having an efficient database to work on. The BioVid Emo DB is a multimodal database recorded for the purpose of analyzing human affective states and data mining related to emotion. Psychophysiological signals such as Skin Conductance Level, Electrocardiogram, Trapezius Electromyogram and also 4 video signals were recorded. 5 discrete emotions (amusement,...
With the rapid development of simulation science, knowledge reuse in this domain becomes a challenge. This paper concentrates on the system design of a simulation knowledge base management system. Furthermore, a semantic matching algorithm based on ontology has also been proposed for simulation knowledge retrieval.
In view of the knowledge management of organizations, this paper focuses on the text knowledge management. The characteristics and problems of knowledge management of organizations are analyzed. The thought that text knowledge can be seen as services is put forward. The key technologies for building and managing text services are analyzed. Cloud architecture for text service management is put forward...
With the rapid development of the usage of digital imaging and communication technologies, there appears to be a great demand for fast and practical approaches for image quality assessment (IQA) algorithms that can match human judgements. In this paper, we propose a novel general-purpose no-reference IQA (NR-IQA) framework by means of learning quality-aware filters (QAF). Using these filters for image...
The goal of no-reference image quality assessment (NR-IQA) is to estimate the quality of an image consistent with the human perception of the image automatically without any prior of the reference image. In this paper, we present a simple yet efficient and effective approach to learn a blind Image Quality index based on Visual saliency guided sampling and Gabor filtering, namely IQVG. Given an image,...
Assistant Decision System for Optimization of Private Communication Network is a software tool used to optimize the private network and provide decision-making advice for the network maintenance technicians and network managers. The software tool can provide scientific decision basis for the optimization (or planning), construction, operation administration and maintenance (OAM) of the private network...
The purpose of this paper is to find a data mining method to clustering herbs. The results of data mining are to confirm the relation among herbs in a Chinese medicine prescription. Firstly, the similarity between herbs is measured by the attributes of herbs without the direction based on the prior knowledge. Secondly, the herbs are classified by K-Means algorithm. Lastly, the relations are confirmed...
A novel feature extraction method, namely monogenic binary pattern (MBP), is proposed in this paper based on the theory of monogenic signal analysis, and the histogram of MBP (HMBP) is subsequently presented for robust face representation and recognition. MBP consists of two parts: one is monogenic magnitude encoded via uniform LBP, and the other is monogenic orientation encoded as quadrant-bit codes...
With the rapid development and the large investment in highway construction, the detection, evaluation, prediction and maintenance of highway pavement performance are getting more attention than ever before in today's China. While most current codes and standards provide much guidance for the detection and evaluation of highway pavement performance, a systematic management tool to implement these...
Urban underground pipeline is an important part of urban public infrastructure, and it is lifeline of cities. Application education of urban underground pipeline management also was important to urban underground pipeline manager, and we could manage underground pipeline efficiently when we depended on point-source information system. The paper introduced structure of point-source information system,...
Offline palmprint plays an important role in personal recognition, especially in the area of criminal investigation. Location of Special Areas is significant to offline palmprint classification and orientation field. This paper proposes an efficient algorithm to locate the Special Areas on offline palmprint, which can be divided into two stages. The first stage is to locate the coarse-level Special...
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