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Hydrothermal vent fluids play very important role in the deep-sea geochemistry cycle, and support the extreme biological communities. But, there are very few sensors can be used for the in situ measurement of the chemical compositions of the emerging vent fluids. The extremely high temperature and pressure will kill most of them. The traditional sampling technology cannot maintain the sample temperate...
With the advantages including the high interaction, convenience, transparency and individualization, the Internet makes the online shopping become increasingly popular among businesses and consumers. The online transaction environment is characterized by virtuality and anonymity, so the trust plays an indispensable role. Currently the trust issue has become one of the main reasons that troubles and...
Understanding user query intent is a crucial task to Question-Answering area. With the development of online health services, online health communities generate huge amount of valuable medical Question-Answering data, where user intention can be mined. However, the queries posted by common users have many domain concepts and colloquial expressions, which make the understanding of user intents very...
Traditional medical model is more emphasis on sitting, with the popularity of mobile Internet, mobile smart medical system is got the attention by more and more people. In this paper, the use of pre-safety assessment and testing, the overall consideration of the Internet area within the business area security needs, after the security incident analysis and response to the security platform for continuous...
Image-to-image translation is a class of vision and graphics problems where the goal is to learn the mapping between an input image and an output image using a training set of aligned image pairs. However, for many tasks, paired training data will not be available. We present an approach for learning to translate an image from a source domain X to a target domain Y in the absence of paired examples...
This paper describes the design and development of an automated construction quality assessment robot system (QuicaBot) for hollowness, crack, evenness, alignments and inclination problems. To the best of our knowledge, this work is the first attempt to pave the way towards a fully autonomous robotic system for post construction quality assessment of buildings. The main goal of the novel robot is...
This paper presents two case studies in which a waste management team at Western Kentucky University (WKU), supported by GIS and geospatial techniques, were able to identify how waste generation potential changed over time across space, predict how the rate of recycling can be raised by infrastructural changes, and hence enable more informed decision-marking on where sustainability-concentrated efforts...
The Moon-based Extreme Ultraviolet Camera (EUVC) installed on the lunar lander of Chinese Chang'e 3 mission can obtain global and instantaneous EUV images of the Earth's plasmasphere in meridian view (side view). The movies of the continuously observed time-series images by EUVC reveal the dynamic variations of the plasmasphere during substorms. The EUVC instrument, observations of plasmasphere, data...
In the cloud, data replication strategies have been adopted by many geographical data centers in order to improve data availability, decrease the access latency and reduce the data communication cost. In this paper, we propose a novel data replication strategy to reduce the cost of data storage and transfer for workflow applications. In our approach, we partition data storage space into two categories,...
We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping. This makes it possible to apply the same generic approach to problems that traditionally would require very different loss formulations. We demonstrate...
The gray Verhulst model has the extremely widespread application in the study of minority, poor information and uncertainty question when the data show saturated state or s-shaped sequences. However the gray Verhulst model built by weakening the randomness of data sequence, lacking of self-organizing and self-learning. Some scholars study on this issue, and put forward a kind of gray Verhulst-BPNN...
This paper reports on a minimal growth factor and clinical translation friendly methodology using micromachined penetrating nanoelectrodes to differentiate Adipose Derived Stem Cells (ADSCs) into neuronal lineage. Electrical stimulus is delivered via penetrating nanoelectrodes to differentiate ADSCs toward neuronal lineage with minimal use of conventional growth factors, genetic manipulators, cytokines...
GUI exploration is a widely adopted technique to test GUI programs, which traverses the elements of screens during the user interaction and simultaneously constructs the GUI model to describe window transitions. Specific to Android apps, an elaborate GUI model should take Android characteristics into consideration. We propose a GUI exploration approach that dynamically acquires the information of...
Equipped with customized parameters, configurable software is more flexible when facing various hardware platforms and scenario options. The configurability can tailor the source code to different instances. Consequently, it is difficult for developers to enumerate all possible configurations for finding bugs, especially for large-scale configurable software systems. In this paper, we propose a method...
Optimal node placement is studied for multi-hop free-space optical communications where any node can be a user. The lognormal weak turbulence channel is assumed. First, the problem of node placement is formulated as a constrained multi-objective optimization problem. Then, according to the priority of each user, the multi-objective problem is simplified to a constrained single-objective problem where...
Existing asymptotic analysis techniques fail to provide closed-form asymptotic outage probability expressions for lognormal fading channels due to the fact that lognormal fading channel distributions have an infinite diversity order. In this work, we develop a new analytical technique to study the asymptotic outage probability of maximum-ratio combining and equalgain combining over independent lognormal...
We present the implementation and validation of a novel model for simulating comb squeezed-film damping. The model is computationally efficient regardless of finger count and optionally includes top and bottom encapsulation surfaces surrounding the fingers. Comparison with standard numerical simulation shows a difference in damping coefficient of less than 1%. One application is to predict the Q factors...
In this paper, we propose a new method for the design of a class of orthogonal filter banks with sparse coefficients in the minimax sense. We first formulate a design problem based on the minimization of the reweighted L1-norm of the filter bank coefficients subject to the perfect reconstruction (PR) and vanishing moments (VM)). As the PR constraint is nonconvex, we initialize the coefficients of...
In this paper, a new method for two-dimensional (2-D) direction-of-arrival (DOA) estimation is proposed. We first reconstruct the covariance matrix of the coarray with block-Toeplitz structure and then retrieve the DOAs. Our method is computationally efficient as supported by the derived closed-form expression for the estimated covariance matrix. Unlike other methods, which require fully loaded arrays,...
The fifth version of HTML standard, which is widely accepted in the diverse landscape of browser vendors and their continuously upgrading releases, requires web browsers to support playback of multimedia natively, instead of by third-party plugins. Works on testing browsers' implementations of the HTML5 support, however, are not efficient enough till now. Regarding a browser's processing on HTML5...
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