Automatic computation of surface correspondence via harmonic map is an active research field in computer vision, computer graphics and computational geometry. It may help document and understand physical and biologica...
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ISBN:
(纸本)9781467364102
Automatic computation of surface correspondence via harmonic map is an active research field in computer vision, computer graphics and computational geometry. It may help document and understand physical and biological phenomena and also has broad applications in biometrics, medical imaging and motion capture. Although numerous studies have been devoted to harmonic map research, limited progress has been made to compute a diffeomorphic harmonic map on general topology surfaces with landmark constraints. This work conquer this problem by changing the Riemannian metric on the target surface to a hyperbolic metric, so that the harmonic mapping is guaranteed to be a diffeomorphism under landmark constraints. The computational algorithms are based on the Ricci flow method and the method is general and robust. We apply our algorithm to study constrained human brain surface registration problem. Experimental results demonstrate that, by changing the Riemannian metric, the registrations are always diffeomorphic, and achieve relative high performance when evaluated with some popular cortical surface registration evaluation standards.
The increasing spread of location-based services (LBSs) has led to a renewed research interest in the security of services. To ensure the credibility and availability of LBSs, there is a pressing requirement for addre...
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The orthogonal frequency division multiplexing (OFDM) technology provides an opportunity for efficient resource utilization in optical networks. It allows allocation of multiple sub-carriers to meet traffic demands of...
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ISBN:
(纸本)9781467359443
The orthogonal frequency division multiplexing (OFDM) technology provides an opportunity for efficient resource utilization in optical networks. It allows allocation of multiple sub-carriers to meet traffic demands of varying size. Utilizing OFDM technology, a spectrum efficient and scalable optical transport network called SLICE was proposed recently. The SLICE architecture enables sub-wavelength, super-wavelength resource allocation and multiple rate data traffic that results in efficient use of spectrum. However, the benefit is accompanied by additional complexities in resource allocation. In SLICE architecture, in order to minimize the utilized spectrum, one has to solve the routing and spectrum allocation problem (RSA). In this paper, we focus our attention to RSA and (i) prove that RSA is NP-complete even when the optical network topology is as simple as a chain or a ring, (ii) provide approximation algorithms for RSA when the network topology is a binary tree or a ring, (iii) provide a heuristic for the network with arbitrary topology and measure the effectiveness of the heuristic with extensive simulation. Simulation results demonstrate that our heuristic significantly outperforms several other heuristics proposed recently for RSA.
SaaS (Software-as-a-Service) often uses multi-tenancy architecture (MTA) where tenant developers compose their applications online using the components stored in the SaaS database. Tenant applications need to be teste...
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SaaS (Software-as-a-Service) often uses multi-tenancy architecture (MTA) where tenant developers compose their applications online using the components stored in the SaaS database. Tenant applications need to be tested, and combinatorial testing can be used. While numerous combinatorial testing techniques are available, most of them produce static sequences of test configurations and their goal is often to provide sufficient coverage such as 2-way interaction coverage. But the goal of SaaS testing is to identify those compositions that are faulty for tenant applications. This paper proposes an adaptive test configuration generation algorithm AR (Adaptive Reasoning) that can rapidly identify those faulty combinations so that those faulty combinations cannot be selected by tenant developers for composition. The AR algorithm has been evaluated by both simulation and real experimentation using a MTA SaaS sample running on GAE (Google App Engine). Both the simulation and experiment showed show that the AR algorithm can identify those faulty combinations rapidly. Whenever a new component is submitted to the SaaS database, the AR algorithm can be applied so that any faulty interactions with new components can be identified to continue to support future tenant applications.
In this paper, two pricing mechanisms in electricity markets are studied, the locational marginal price (LMP) and the extended locational marginal price (ELMP). The effects of these two pricing mechanisms are compared...
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ISBN:
(纸本)9781479912537
In this paper, two pricing mechanisms in electricity markets are studied, the locational marginal price (LMP) and the extended locational marginal price (ELMP). The effects of these two pricing mechanisms are compared with regards to the allocation of the market surplus between generators and loads. The two pricing mechanisms are also analyzed with regards to the required uplift payments. The results confirm that uplift payments are reduced under the ELMP pricing mechanism. However, ELMP does not appropriately represent the marginal market clearing price for the market dispatch solution.
Inexpensive wireless sensors can be embedded in structural materials to detect defects. These sensors provide in-situ diagnosis of the system's health, thus invaluable information to decision makers for system mai...
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ISBN:
(纸本)9781467357210
Inexpensive wireless sensors can be embedded in structural materials to detect defects. These sensors provide in-situ diagnosis of the system's health, thus invaluable information to decision makers for system maintenance and repair. For example, Iamb wave sensors that are embedded in carbon fiber composites can monitor the material integrity by detecting and quantifying fiber delaminations and breakages. Although they are relatively easy to be deployed, their lifetimes are limited due to power consumption and they cannot be replaced without interrupting the operation of system. In this paper, we discuss a sampling method that is based on the material's degradation model for activating sensors and collecting health information. We are interested in predicting the time of failure with a few numbers of signals and with statistical efficiency. Our method is good for the in-situ health monitoring, where the system's failure time is of concern and the sensor's power conservation is required.
An investigation of the Caregiver Autism Residential E-health (CARE) system, a low-cost, end-user deployable smart home technology, has been evaluated for its potential as an empowering assistive technology for adults...
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In Model Based Development (MBD) of embedded systems, it is often desirable to not only verify/falsify certain formal system specifications, but also to automatically explore the properties that the system satisfies. ...
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We present alternative definitions of the first-order stable model semantics and its extension to incorporate generalized quantifiers by referring to the familiar notion of a reduct instead of referring to the SM oper...
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