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We have designed and trained a fully convolution neural network to calculate geometry evolving in discontinuous velocity fields. Train data set is generated by numerically solving level set equations. The equation-based regression problem is innovatively transformed to a series of classification problem to make the training easier. A network structure similar to deep residual net is used to improve...
We report on the design and demonstration of a self-powering sensor microsystem that exploits vibrational energy harvesting to fully supply power for an integrated, ultra-low-power, CMOS temperature sensor. This system features a novel circuit interface, capable of handling input harvested power down to the sub-μW level, enabled by an application-specific integrated circuit (ASIC) that performs energy...
We report on the circuit design and experimental demonstration of a battery-less, self-powering temperature sensor node, powered entirely by a piezoelectric (PZE) ambient vibrational energy harvester, and enabled by a novel ultra-low-power application-specific integrated circuit (ASIC). The ASIC collects and stores energy generated by the PZE transducer into a supercapacitor, powers both the on-ASIC...
We present an ultra-low quiescent current power management integrated circuit (IC) for interfacing with a piezoelectric (PZE) energy harvester in a self-powering wireless sensor node. The PZE harvester first transforms mechanical energy from vibration into electricity. The AC output from the PZE is then converted into DC power using a full bridge rectifier, and charges a small filter capacitor. The...
In this paper, we present a spectral clustering method for online and streaming applications. Here, we note that the rank of the coefficients of the eigenvector of the graph Laplacian govern, together with the weights of the adjacency matrix, the assignment of the data to clusters. Thus, we adopt a sampling without replacement strategy, where, at each sampling step, we select those data instances...
Clinical practice calls for reliable diagnosis and optimized treatment. However, human errors in health care remain a severe issue even in industrialized countries. The application of clinical decision support systems (CDSS) casts light on this problem. However, given the great improvement in CDSS over the past several years, challenges to their wide-scale application are still present, including:...
Here, we turn our attention to barycentric embeddings and examine their utility for semi-supervised image labelling tasks. To this end, we view the pixels in the image as vertices in a graph and their pairwise affinities as weights of the edges between them. Abstracted in this manner, we can pose the semi-supervised labelling problem into a graph theoretic setting where the labels are assigned based...
In this paper, we employ graph embeddings for classification tasks. To do this, we explore the relationship between kernel matrices, spaces of inner products and statistical inference by viewing the embedding vectors for the nodes in the graph as a field on a Riemannian manifold. This leads to a setting where the inference process may be cast as a Maximum a Posteriori (MAP) estimation over a Gibbs...
Snoring sound may indicate the presence of obstructive sleep apnea (OSA). In this study, we propose a novel method to detect snoring events in sleep audio recordings. Firstly, the mean and the standard deviation of instantaneous frequency are exacted as the features of the OSA acoustic features in each intrinsic mode functions(IMF) of Empirical Mode Decomposition (EMD). A support vector machine is...
The distributed inverters generally are integrated into power grid without any switching sequence coordinated control capability since they are equipped with their own micro controllers to command the output quantities. The switching ripples of all distributed inverters will then be randomly accumulated at the point of common coupling. The recently proposed global synchronous pulsewidth modulation...
Traditionally, the parallel-connected multi-leg inverter could assume the interleaved PWM to attenuate the switching frequency harmonics by using a single controller to generate the corresponding interleaved switching sequences. However, the interleaved PWM cannot be employed in multiple distributed inverters installed at different locations with their own controllers because the multiple independent...
We report on measurement and modeling of dynamic energy harvesters based on oscillating piezoelectric cantilevers, along with careful calibration of energy conversion properties of such devices in their dynamic responses. We employ thin-film lead zirconate titanate (PZT)-based cantilevers fabricated by laser micromachining, with efficient proof masses enabled by a heavy alloy with a low melting temperature...
This paper first briefly introduces the Mobile Agent technology, then analyzes some other Mobile Agent communication mechanisms by comparing them with each other, based on which we generate Assistant Agent by Mobile Agent with combination of Shortest Path First (SPF) algorithm to receive the message as a new Mobile Agent communication system and give the experimental results to demonstrate.
Linear mixture model (LMM) has been widely used in hyperspectral image unmixing under the assumption that the mixed spectrum is performed in a linear manner. In order to obtain accurate amounts of material abundance, two constrains are usually imposed on LMM, which are abundance non-negative constraint (ANC) and abundance sum-to-one constraint (ASC). Although LMM with full constraint shows bunches...
Unmixing is an important technique to extract sub-pixel information contained in hyperspectral image. Many spectrum mixture models and unmixing algorithms have been proposed, but little of them consider unmixing as an inverse problem, which is usually ill-posedness, i.e. the uniqueness, existence and stability of solution may not be satisfied simultaneously. Traditional algorithms pay more attention...
At present, SOA (Service-Oriented Architecture) is already widely applied in the enterprise commercial development as it is loose coupling, cross-platform, language-independent, supporting organic businesses architecture. Security for communication between services has become a key technology which restricts SOA and Web services to continue to develop. Network attackers can keep the signature and...
Sleep diseases such as snoring and sleep apnea is physically, mentally harmful and results serious health problems. Snoring is known for breathing noise caused by coupled oscillation of the airway as the air passes through the trachea, and sleep apnea is caused by upper airway blockage. In this study, a new sensing system and analysis algorithm were developed in order to detect correct snoring sounds...
In the current resource management based on the information management system of the Shanhua carpet enterprise, the customer information management and order tracking query management module features, is basically managed and controedl for internal. Interaction between customers and the company only occurs in the contract part, once the contract established, customers and business delivery date for...
Association Rules Mining is mining knowledge that valuable and describing the links between data items from amount of data. Generally, the data used for data mining is heterogeneous, and distributes in the different geography position. This paper focuses on the concept of data mining from multi data source. At last, the research is applied to the clothing teaching, and make a good application effect.
In the field of the library, there is a huge amount of data from readers' borrowing records every day. We can find an interesting network from the relationship of books by doing data mining works on these records, especially on the analysis of association rules, which can help us to find the needs of readers more clearly. FP-growth (frequent pattern growth) uses an extended prefix-tree (FP-tree) structure...
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