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In this paper, we develop a novel method of 3D object classification based on Local Keywords and Hidden Markov Model. Hidden Markov Models are a widely used methodology for sequential data modeling, of growing importance in the last years. In the proposed approach, a geometric feature vector based on Relative-Angle Context Distribution of surface points is extracted. The local keywords are generated...
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In the field of process mining, we require certain techniques that can detect process changes in dynamic systems automatically. Through detecting changes in the process we can adjust and optimize the overall process timely. These technologies are named concept drift detection of process mining. The traditional concept drift algorithm in process mining domain mostly have high time complexity, high...
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A bi-directional Buck/Boost voltage balancer required in DC distribution system is proposed in this paper. Compared with the existing voltage balancer, the proposed balancer is unique in adding a bi-directional Buck/Boost converter, so that it cannot only balance the positive and negative rail voltages of the load side, but also regulate the total load voltage for fluctuating supply voltage. Theoretical...
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This thesis further study descent conjugate gradient methods based on the modified FR method and the modified PRP method give the class of conjugate gradient methods formed by the convex combination of the MFR method and the MPRP method. This class of methods enjoys the same nice properties as those of the MFR method and the MPRP method. Firstly the methods generate sufficient descent directions for...
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This paper begins with a brief introduction of digital signage and information distribution system, and then proposed a new cloud-based wireless signage network system, and described designing process of the system. Finally, it gave out the future prospects of the application of the system.
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This paper introduces a method for fire alarm information fusion in feature level by means of Dynamic Bayesian Network (DBN), the method is effective to reduce the interference of environmental factors and to improve the accuracy of fire detection. With CO content, environment temperature and smoke concentration as input fire characteristic information of DBN, the DBN output for the probability of...
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A concept of an intelligent stereo garage that lifts the cars between floors is established to increase the utilization and to reduce the manufacture cost of this intelligent stereo garage. The method that a car-picking mechanism shared by several parking floors is used in this garage, which increased the utilization of the garage over 1.2. A four-grade serial mechanism which moves between parking...
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Aimed at the features of the indoor environment influence factors diversification, dynamic, the comfortable concept fuzzification and the currently ontology construction methods have the problem of shortage in real-time construction, this paper puts forward a fuzzy ontology automatic construction method that faces the field of the indoor environment. Firstly, using formal concept method to analyze...
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For power amplifier in wireless sensor network (WSN) nodes used for environment monitoring, there are three important factors, i.e. maximum output power, power efficiency and linearity. In this paper, two techniques are proposed to achieve good linearity, i.e. a negative feedback path with 180 degree phase shift, and a capacitance compensation technology to keep the overall input capacitance of driver...
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The purpose of this paper is to present a landslide case along a high loess plateau by field investigation, laboratory tests and numerical analysis. The factors of the high loess slope terrain and environmental that induced the landslide are investigated. Based on the information of field investigation and laboratory testing results, a three-dimensional model of the high loess slope prior to the landslide...
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With the rapid development of the sensor technology, it become possible for us to acquire SAR remote sensing image in the same region, In this paper a method for improving positioning accuracy of SAR imagery based on RFM are investigated. At the same time it associated with model construction, parameter solution and refinement of RFM model are extensively studied, and its block adjustment method was...
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The results of optimistic model and pessimistic model are always not efficient for practical application because they are two extreme possibilities for ill-posed bilevel programming problem. This paper presents a new model by transferring Minmax model to a Maxmin model to solve above shortcoming. And we prove, by this transformation, a more practical value between the optimistic value and the pessimistic...
