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We introduce a novel pose graph-based localization technique for autonomous driving that incorporates both sparse point features as well as lane markings on the road. Unlike many commonly used filter methods, our graph-based localization takes a much larger history of the trajectory into account. In addition, we utilize a multiple-hypothesis approach for data association for increased robustness against...
A user side integrated energy system (USIES) can supply energy in accordance with user demand, in order to make full use of terminal energy conditions, improve energy efficiency, and promote consumption of local renewable energy. A bi-level programming model of USIES multi-objective coordinated planning is developed based on the chance constrained programming. Multi-state models of wind turbine (WT),...
Deep belief networks (DBNs) are graphical models which learn to extract the deep hierarchical representation of the input data. Restricted boltzmann machines can be stacked and trained in a greedy manner to form deep belief networks. The combination of deep belief networks and the classifier is used for data classification. However, with the increase of the size of the training set, it requires a...
Through designing a traceability system of dairy supply chain based on a mixed traceability mode, which can be used to horizontal and vertical two dimensions query. According to the DHI report, HACCP analysis of dairy processing and relevant national standard, the pre-warning indexes of various links of the supply chain, and the pre-warning model based on BP neural network method can be established...
Feature representation and metric learning are two critical components in person re-identification models. In this paper, we focus on the feature representation and claim that hand-crafted histogram features can be complementary to Convolutional Neural Network (CNN) features. We propose a novel feature extraction model called Feature Fusion Net (FFN) for pedestrian image representation. In FFN, back...
Because of the constant increase of photovoltaic(PV) permeability, it is needed to configure the energy storage(ES) to reduce the instability caused by PV access of the power distribution network. So that how to configure PV and ES has become an important issue. According to timing characteristics of load and PV output under different seasons and weather conditions, the configuration model of PV and...
GaoFen-1 whose longevity is designed and checked more than 5 years, is the first high-resolution and remote sensing satellite in China. It can achieve a combination of high resolution and wide imaging capabilities on the same satellite, and it will play a significant role in the development of national economy and variety kinds of industries. This paper will introduce the design and implementation...
In the past, researchers have struggled to directly create nanochannels in polymer substrates using Atomic Force Microscope (AFM) probes (i.e., nanomechanical probes) due to the inability of the probes to ‘scratch’ substrates with insufficient surface hardness. We will present in this paper a novel process for the fabrication of polymer-based encapsulated nanofluidic channels using nanomechanical...
Geometric structures of some van der Waals Complexes were determined by precisely measuring three-dimensional momentum vectors of correlated atomic ions produced in the laser-driven Coulomb explosion of these van der Waals complexes.
The rapid growth of the Internet and the increasing demand for accuracy of information retrieval have made it important to develop the focused crawler based on intelligence. This paper presents a framework for the ontology-based focused crawler. We use domain ontology for the description of topic, use key words automatic indexing techniques to gain subject of Web Pages, and define a function for relevance...
This paper presents 1) algorithms for blood vessels extraction in sclera-conjunctiva images, which can be applied in syndrome differentiation by observing human eyes (named Ocular Diagnostic in Traditional Chinese Medicine), 2) digitization of extracted vessels. First, sclera-conjunctiva region is isolated by optimal threshold segmentation and mathematical operation. Second, scanning and edge detection...
In this paper, we proposed a method to fabricate an D-shaped fiber of surface-relief Bragg grating filter by utilizing D-shaped fiber polishing along with photolithography and holographic interference lithography technologies.
Soybean protein powder and alkaline alcalase protease were taken as raw materials, and the effects of ultrasonic power, pH, substrate concentration, enzyme dosage, and temperature on soybean protein hydrolysis degree (DH) and DH increment percentage were studied with and without ultrasound in this paper. The results indicated that efficiency of ultrasound depended on its power. The ultrasound of 40kHz,...
With the development of the scale of wireless networks, there has been shortcomings and limitations in traditional network topology management systems. In this paper, a dynamic self-adaptive algorithm is proposed to maintain topology discovery with passive dynamic multi-agent detection technology and hybrid P2P structure of the active detection technology. At the same time, in terms of the design...
A flat-top 25 GHz optical interleavers based on a ring cavity with spectral characteristics demonstrate in the following. Also, group velocity dispersion and ripple as well as phase of reflector have improved a lot with dispersion compensators.
This paper presents an approach to detect and cluster similar results of search engine based on analyzing pages' URLs and their contents. A novel hash function, together with a Chinese key concept extractor module, has been used. The similar measurement on key concept overlap degree is proposed to cluster similar retrieval results. This can minimize the overlap effectively. The experimental results...
As the Web is developing, Web based communities are gaining more and more importance. We believe that blended community which combines real world and Web based communities will provide more benefits over using any single type alone. This paper discusses issues of blended learning community, and presents a case study of developing a blended community in IT education for public.
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