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The VORPAL software, traditionally used to model plasma and EM problems on large scale supercomputers, has been upgraded to treat thermal conduction as well. This allows us to solve integrated thermal & EM problems, for vacuum electronics, where the heat source is either ohmic wall heating, or charged particle impact.
The purpose of this study is to quantitatively assess the forests damaged by typhoons using multi-temporal high-resolution polarimetric synthetic aperture radar (SAR) data. The study area is located in Tomakomai, Hokkaido, Japan, where substantial damage was caused by the typhoon “Songda” (Japanese typhoon number 18) in September 8th, 2004. The forests map showing damaged stands from ground survey...
There are many devices embedded in a smart home environment. It is a challenge to operate these devices due to the heterogeneity and the mobility of them. In this paper, we propose a context-aware resource management framework, which aims to (1) discover available resources and update the states of those devices according to the changes of contexts; (2) allocate suitable resources to meet the needs...
In this paper, we propose an automatic data-driven technique for selecting proper background dataset. By the technique, impostor confidence(IC) is proposed as a metric and more discriminative background dataset is automatically chose by impostor confidence(IC) to train more discriminative model. Experiment results on NIST 2008 SRE corpus in GMM-SVM speaker verification system show that the proposed...
With the advantage of compact, low cost and high resolution, the frequency-modulated continuous wave (FM-CW) radar equipped in airborne or unmanned aerial vehicles (UAVs) has been well applied to small-scale remote sensing measurements. To make laboratory experiment, our Key Laboratory of Wave Scattering and Remote Sensing Information (KLWSRSI) has developed a fully polarimetric FM-CW synthetic aperture...
With the rapid development of computing and communication technology and the rising ratio of the aged, the research on elderly care by using smart home has widely aroused attention. Smart home is designated to provide adaptive and personalized service for the users in home environment. This paper aims to realize the personalized services in smart home environment for the elderly based on situation...
The purpose of this study is to extract the forests destroyed by typhoons and to quantitatively estimate the damage levels by using high-resolution polarimetric synthetic aperture radar (SAR) data. The study area is located in Tomakomai, Hokkaido, Japan. Two sets of data were acquired before and after the typhoon by the L-band airborne Pi-SAR (Polarimetric-interferometric SAR) with 3m × 3m resolution...
Summary form only given. The VORPAL finite-difference time-domain particle-in-cell simulation tool has traditionally been used for accelerator, electromagnetic, and plasma simulations. Approximately two years ago, a generalized PDE (partial differential equation) capability was added to the software, and we are now developing this capability to provide multi-physics simulations capability. Our project...
The VORPAL finite-difference time-domain particle-in-cell simulation tool has traditionally been used for accelerator, electromagnetic, and plasma simulations. Approximately two years ago, a generalized PDE (partial differential equation) capability was added to the software, and we are now developing this capability to provide multi-physics simulations capability. Our project focus is on integrated...
Recently, using maximum likelihood linear regression (MLLR) transforms as the features for SVM based speaker recognition has been proposed. This can achieve performance comparable to that obtained with state-of-the-art approaches. In this paper, we focus on calculating the transforms based on a GMM universal background model (UBM). Rather than estimating the transforms using maximum likelihood criterion,...
This paper reveals the concept and the essence of SCM, on the basis of that, discusses with the influence of Electronic Commerce on SCM, then analyses advantage and the architecture of SCM based on EC.
An algorithm for bending robots is presented in this paper. The algorithm makes use of the features of bending process to solve three problems: procedure generating, targets calculating and obstacle avoidance. It generates procedure with two state machines and a knowledge library, calculates targets with heuristic rules, and avoids obstacles in joint space. The algorithm has been applied to manufacture...
Gaussian mixture models with an universal background model (UBM) have been the standard method for speaker recognition. Typically, maximum a posteriori (MAP) or maximum likelihood linear regression (MLLR) is used to adapt the means of the UBM. Together with the SVM modeling technique, these approaches can achieve excellent performance. MLLR is quite efficient when the amount of adaptation data is...
Token-based approaches have proven quite effective for spoken language identification (LID). Traditionally, Speech utterances are first decoded into token sequences, and then LID tasks are performed on these token sequences by either n-gram language models or support vector machines. In this paper, we propose a hierarchical system design, which utilizes a group of bayesian logistic regression models...
The statistical approaches, i.e. K-distribution and Getis statistics, are applied to ALOS PALSAR image for assessing the building damage caused by Wenchuan earthquake in 2008. As a proposed image analysis, a simulated image with random bright squares, as building objects, is firstly presented for analysis of the K-distribution and Getis statistics. Then, these statistics are applied to two ALOS PALSAR...
Museum visitors are being overloaded with increasing amount and variety of information that heavens their burden to locate what is really interesting. Development of personalized service for museum visitors makes a promising effort to alleviate the problem. In this paper, a recommendation framework and the related algorithms are proposed for intelligent museum. Using both the explicit and implicit...
Eigenvoice speaker adaptation has been shown to be effective in recent years. In this paper, we propose to use eigenvoice coefficients as features for speaker recognition. We use a simplified version of probabilistic subspace adaptation (PSA) to estimate eigenvoice coefficients, and the coefficients are concatenated to construct supervectors of support vector machines. This approach significantly...
In this paper, we present a new modeling approach for speaker recognition, which uses a kind of novel phonotactic information as the feature for S VM modeling. Gaussian mixture models (GMMs) have been proven extremely successful for text- independent speaker recognition. The GMM universal background model (UBM) is a speaker-independent model, each component of which can be considered to be modeling...
Memory problems are tightly associated with ageing. Most elders suffer from different levels of memory decline, from severe to mild. For supporting the independent living and prompting the quality of life of the elderly, assistant technology has been identified as a promising approach to address these challenges, which is able to provide necessary help to elders in appropriate time. This paper investigates...
This paper explores the problem of user experience evaluation, in particular the quantitative evaluation of group user experience, in the ubiquitous computing environments. Firstly, the classification and definition of four different categories of user groups are proposed and the notion of group user experience is introduced. Secondly, we analyze the quantitative evaluation of group user experience...
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