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Online 3D point cloud classification and scene understanding are crucial tasks for Unmanned Ground Vehicles (UGVs) equipped with multiple laser scanners. Due to the poor performance of traditional 2D image representation model for 3D point clouds, a novel Optimal Bearing Angle (OBA) model is therefore proposed to overcome the limitations of texture information losing and image blurring caused by the...
An efficient and robust FETI-2λ domain decomposition method (DDM) framework for electromagnetic (EM) modeling is outlined. The proposed framework uses randomized algorithms to approximate the low-rank discrete Dirichlet-to-Neumann (DtN) map interations that arise in FETI-2λ. The resulting approach is also combined with effective and robust local and global DDM preconditioners. A realistic numerical...
Composite services are notoriously prone to failure, this is particularly true for long-running, and data-intensive services. Different composition strategies can be employed to make compositions robust. Any service composition strategy does impact performance at the lower network layer and needs to be assessed. Novel approaches are needed to model and evaluate dynamically reconfigurable service composition...
Popular techniques used in today's Web search engines and digital libraries for retrieving and ranking scientific publications have foundations in modern information retrieval. Information and users in the scientific research communities have their own characteristics, however, they have not been sufficiently exploited in existing retrieval and ranking methods. We present a semantic search engine,...
Cloud computing has emerged as a new computing paradigm and its economics has opened up a new research area. Though progress has been made toward address competitions among Cloud service providers (CSPs) or among network service providers (NSPs), few studies have focused on the relationship between CSPs and NSPs. In this paper, we investigate this problem and present a new economic model to characterize...
Turning non-autonomic ventricular cells into pacemaking cells is believed to hold the key for making a bio-pacemaker that could potentially treat patients with cardiac conduction diseases. In this article, we analyze the effects of various membrane ion channel currents on ventricular automaticity induced by reducing the inward-rectifier K+ current (IK1). It was found that the L-type calcium current...
In Traditional Chinese Medicine (TCM), the prescription is the crystallization of clinical experience of doctors, which is the main way to cure diseases in China for thousands of years. Clinical cases, on the other hand, describe how doctors diagnose and prescribe a prescription. In this paper, we propose a framework which mines the treatment pattern in TCM clinical cases by using probabilistic topic...
In this paper, the stability experiment of the electricity market simulation adopted agent-based computational economics(ACE) is carried out under different congestion degree on the platform of electricity market simulation system and laid the experiment foundation for the research of electricity market network congestion simulation. It can be seen from the experiment results analysis that the presence...
We study the multi-resource allocation problem in cloud computing systems where the resource pool is constructed from a large number of heterogeneous servers, representing different points in the configuration space of resources such as processing, memory, and storage. We design a multi-resource allocation mechanism, called DRFH, that generalizes the notion of Dominant Resource Fairness (DRF) from...
This paper addresses multi-view point cloud registration, which is one of the major techniques to develop a robust visual tracking system. The proposed algorithm first uses Kinect camera to capture point clouds of an object-of-interest or a complex environment with different view points. Then, a novel RANSAC RGB-D mapping algorithm is developed to efficiently and accurately align the multiple point...
Cloud computing is on demand as it offers dynamic flexible resource allocation for reliable and guaranteed services in a pay-as-you-use manner to public. In cloud computing, a cloud resource consumer can request a number of cloud resources simultaneously. So there must be a provision that all resources are made available to requesting cloud resource consumers in an efficient manner to satisfy their...
User profiling plays an important role in online news recommendation systems. In this paper, we analyze the relationship between users' clicking behaviors and the category of the news story to model user's interests by mining web log data of an adaptive news system. We train a Memory-based User Profile (MUP), which imitates human being's learning, remembering and forgetting mechanisms, to predict...
In the traditional cockpit display-control system, pilots have to face more and more instruments and response to the complex information simultaneously. In order to study the change characteristics of the mental workload under such multi-task condition, take the virtual instruments for design objects to set up a series of tasks. With the increase of information quantity and frequency of m instruments,...
This contribution introduces position estimation methods relying on observations of the received power and mean delay obtained in a wideband multi-link scenario. In particular, one- and two-step methods are introduced based on statistical models of the observed link parameters. The proposed methods are tested on data from a wideband measurement campaign. The results show that including observations...
The use of semantic Web technologies and service oriented computing paradigm in Internet of Things research has recently received significant attention to create a semantic service layer that supports virtualisation of and interaction among ``Things''. Using service-based solutions will produce a deluge of services that provide access to different data and capabilities exposed by different resources...
Compared with other large-scale warfare simulation systems, wargame, as a traditional type of warfare simulations, has the advantages of low cost, convenience, practicability, etc. In order to realize Human-Computer Confrontation, Computer Generated Forces (CGF) technology has been added to wargame, which would enhance wargame's training and decision support ability. Based on computerization of “Future:...
Recognizing objectionable content draws more and more attention nowadays given the rapid proliferation of images and videos on the Internet. Although there are some investigations about violence video detection and pornographic information filtering, very few existing methods touch on the problem of violence detection in still images. However, given its potential use in violence webpage filtering,...
A new strategy of feature classification method for speaker recognition based on the grid-density clustering is presented. According to the concept of density-based and grid-distance-based distribution in the Mel-frequency cepstrum domain, the feature vectors of each speaker were self-adaptively classified into L clusters with less overlapped. With these convex and non-interwoven clusters, the Gaussian...
PaaS is one of the most popular paradigms of cloud computing and the performance guarantee of PaaS-oriented applications has been critically concerned. Performance models, such as a Layer Queue Network (LQN) model, are efficient at performance guaranteeing in a highly dynamic computing environment for their capabilities of capacity planning. However, it is not a trivial work to build and employ such...
Cloud resources are usually priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three pricing schemes -- the subscription option (a.k.a., Reserved Instances), the pay-as-you-go offer (a.k.a., On-Demand Instances), and an auction-like spot market (a.k.a., Spot Instances) -- simultaneously. There arises a new problem of capacity segmentation:...
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