This paper proposes a novel approach to measure the object size using a regular digital ***,the remote object-size measurement is very crucial to many multimedia *** proposed computer-aided automatic objectsize measur...
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ISBN:
(纸本)9781509001668
This paper proposes a novel approach to measure the object size using a regular digital ***,the remote object-size measurement is very crucial to many multimedia *** proposed computer-aided automatic objectsize measurement technique is based on a new depth-information extraction(range finding) scheme using a regular digital *** conventional range finders are often carried out using the passive method such as stereo cameras or the active method such as ultrasonic and infrared *** either require the cumbersome set-up or deal with point targets *** proposed approach requires only a digital camera with certain image processing techniques and relies on the basic principles of visible *** are conducted to evaluate the performance of our proposed new object-size measurement *** average error-percentage of this method is below 2%.It demonstrates the striking effectiveness of our proposed new method.
Pattern classification is one of the most researched problems in Artificial Intelligence. Genetic Programming (GP) has been used to construct classifiers by many researchers. Function Sequence Genetic Programming (FSG...
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Sensors produce a large amount of multivariate time series data to record the states of Internet of Things(IoT)*** time series timestamp anomaly detection(TSAD)can identify timestamps of attacks and ***,it is necessar...
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Sensors produce a large amount of multivariate time series data to record the states of Internet of Things(IoT)*** time series timestamp anomaly detection(TSAD)can identify timestamps of attacks and ***,it is necessary to determine which sensor or indicator is abnormal to facilitate a more detailed diagnosis,a process referred to as fine-grained anomaly detection(FGAD).Although further FGAD can be extended based on TSAD methods,existing works do not provide a quantitative evaluation,and the performance is ***,to tackle the FGAD problem,this paper first verifies that the TSAD methods achieve low performance when applied to the FGAD task directly because of the excessive fusion of features and the ignoring of the relationship’s dynamic changes between ***,this paper proposes a mul-tivariate time series fine-grained anomaly detection(MFGAD)*** avoid excessive fusion of features,MFGAD constructs two sub-models to independently identify the abnormal timestamp and abnormal indicator instead of a single model and then combines the two kinds of abnormal results to detect the fine-grained *** on this framework,an algorithm based on Graph Attention Neural Network(GAT)and Attention Convolutional Long-Short Term Memory(A-ConvLSTM)is proposed,in which GAT learns temporal features of multiple indicators to detect abnormal timestamps and A-ConvLSTM captures the dynamic relationship between indicators to identify abnormal *** simulations on a real-world dataset demonstrate that the proposed algorithm can achieve a higher F1 score and hit rate than the extension of existing TSAD methods with the benefit of two independent sub-models for timestamp and indicator detection.
Online education has become more popular and effective due to the availability of high-speed internet and technological innovations, which allow people from different locations to access educational resources and oppo...
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For the improvement of the scheduling performance of the directed acyclic graph (DAG) system of heterogeneous cluster applications, this paper repeatedly pushes and fills the application tasks in the initial solution ...
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computer game, a new field of artificial intelligence, as the name suggests, is to make the computer learn to think and play chess games like human beings. As one of the important research field of the artificial inte...
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computer game, a new field of artificial intelligence, as the name suggests, is to make the computer learn to think and play chess games like human beings. As one of the important research field of the artificial intelligence, computer game, which is considered as the touchstone of the artificial intelligence, has brought many important methods and theories to the ***6, is a newly introduced game recent years, the research of game technology and algorithm on which is still remained relatively little. In this paper, I put forward a design and optimization of Connect6 computer game system, including technology of separating interface from computer kernel,move generator, improvement of search strategy and system optimization based on threat. These technologies are all new explorations to *** experiments and tests prove that our optimized program has *** these technologies have helped us win the first prize in the 2013 National Undergraduate computer Game Competition.
Accurate and reliable forecast of traffic flow is important to intelligent transportation systems(ITS). However, due to the non-stationary of traffic flow data, traditional point forecasting can hardly be accurate, so...
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ISBN:
(纸本)9781509012572
Accurate and reliable forecast of traffic flow is important to intelligent transportation systems(ITS). However, due to the non-stationary of traffic flow data, traditional point forecasting can hardly be accurate, so probabilistic forecasting methods are essential for quantification of the potential uncertainties and risks for traffic management. This paper proposes a kernel extreme learning machine(KELM)-based probabilistic forecasting method of traffic flow, and the parameters of KELM are optimized by using Quantum-behaved particle swarm optimization(QPSO) algorithm. To verify its effectiveness, traffic flow prediction using QPSO-KELM are compared with other methods. Experimental results show that QPSO-KELM has higher prediction accuracy at different confidence levels for practical applications in traffic management systems. And it will help traffic managers to make right decisions.
Named Data Network(NDN) is a future Internet *** uses semantic network *** NDN network router caches content's identification which the user requested so the NDN network has risks in privacy and *** this paper,we ...
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Named Data Network(NDN) is a future Internet *** uses semantic network *** NDN network router caches content's identification which the user requested so the NDN network has risks in privacy and *** this paper,we made use of attribute-based encryption technology and searchable encryption technology to perform routing at full cipher text state,and designed a routing encryption scheme,which allowed a router to match and retrieve Content Store(CS),Forwarding Information Base(FIB),and Pending Interest Tables(PIT) in the cipher text *** contribution of this work is to dynamically encrypt semantic network identification in routing system of *** built a simulation experimental platform and tested our *** and performance analysis proved that this program can effectively improve NDN network privacy.
Aimed at the problems of poor transferring capabilities and maintainability in heterogeneous robot platforms, a structured scalable robot control system based on real-time bus, such as RS485bus is proposed, which can ...
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Aimed at the problems of poor transferring capabilities and maintainability in heterogeneous robot platforms, a structured scalable robot control system based on real-time bus, such as RS485bus is proposed, which can be adapted to a number of heterogeneous robot platform. The hardware and software design is elaborated and using this, a Guide Robot is developed to prove the interchangeability, adaptation and extensibility of the system.
The phrase networks of Chinese show small world, scale-free and disassortative mixing features in our previous paper [10]. Here semantical relationships are considered to explain the small world feature. Then we simul...
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