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In the enterprise training, a digital telephone system with special functions is needed and there are no such products on the market. In this paper, a digital telephone system for training is designed based on CAN (Controller Area Network) bus and Ethernet. The SPC (Stored Program Controlled) telephone exchange is designed with distributed multi processors which communicate by CAN. In the system,...
Lithium-ion batteries play critical roles in many electronic devices. It is necessary to develop a reliable and accurate remaining useful life (RUL) prediction approach to provide timely maintenance or replacement of battery systems. A fusion RUL prediction approach based on Deep Belief Network (DBN) and Relevance Vector Machine (RVM) is proposed in this paper. In the fusion prediction approach, DBN...
In this paper a new vulnerability detecting method is proposed to detect buffer boundary violations. The main idea is to use the metric of array index manipulation rather than using any heuristic method. We employ a SVM-based classifier to classify the vulnerable functions and innocent functions. Then the vulnerable functions are fed to function call graph guided symbolic execution to precisely determine...
Aiming at the problem of service performance modelling, this paper uses ANN to establish the mapping relationships between virtual machine resource status and cloud service performance, and proposes an I-ABC-ELM method to train ANN. For the stability problems of the ELM training, this paper proposes the use of I-ABC algorithm to optimize the input layer weight matrix and hidden layer bias in ELM....
OCSVM (one-class support vector machine) is a variant of SVM which only use positive class sample set in training. Since only positive samples can be used in OCSVM, Fully exploiting and using the features of the training samples is of great significance to improve its classification performance. Thus, two aspects of study on kernels have been done in this paper: first, we propose a kernel constructing...
This paper, guided by Statistical Color Models, proposes a real-time Adult Video detector to filter the adult content in the video. A generic color model is constructed by statistical analysis of the sample images containing adult pixels. We fully utilize the video continuity characteristics, i.e. preceding and following N frames considered in the classification. Our method, through experimental,...
In this paper, we present a statistical analysis of six traffic features based on entropy and distinct feature number at the packet level, and we find that, although these traffic features are unstable and show seasonal patterns like traffic volume for a long period, they are stable and consistent with Gaussian distribution in a short time period. However, this equilibrium property will be violated...
Two-dimensional Principal component analysis (2DPCA) is widely used in face feature extraction and recognition as its lower-computational complexity comparing with principal component analysis (PCA). In this paper, we propose a feature extraction algorithm of pulmonary nodules based on 2DPCA with adaptive parameters. The cumulative variance proportion which is the histogram peak value of CT image...
Automatic modulation recognition of modulation signals is the key problem in non-cooperative communication systems. The method which combines the rough set theory and the neural network is designed for identifying the six modulation types based on the research on the feature set of digital modulation recognition. Simulation results show that the new method simplifies the structure of neural networks...
Text categorization under the assigned classification system, uses natural languages to express texts that sort automatically into the pre-set type set according to its contents and makes a piece of text correspond to one (several) type(s) of type set. In order to enhance the categorization performance, this paper proposes the improved TFI-DF feature extraction method and kernel-based distance-weighted...
Forecasting agriculture water consumption is significant to optimize confiration of water resources. In the paper, we have combined particle swarm optimization (PSO) and support vector machines (SVM) for agriculture water consumption forecasting. Compared to GA, the advantages of PSO are that PSO is easy to implement and there are few parameters to adjust. Thus, PSO is very suitable to determine training...
In this paper a novel text classification method based on biomimetic pattern recognition (BPR) is proposed. And we implement a BPR text classifier with multi-weight neural network; the model of three-weight neural network and its construction method are described in detail. Some text classification experiments have been done to test the performance of our BPR text classifier; experimental results...
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