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New high-throughput sequencing technologies can generate millions of short DNA sequences that need to be mapped to the reference genome accurately. Majority of the mapping algorithms handle variations in the quality of these short sequences by allowing more mismatches and/or gaps in the alignment and focus to improve runtime. In this paper, we investigate ways to classify quality scores of short DNA...
In this study, chip scale packaging (CSP) for piezoresistive pressure sensors using a dry-film shielding approach is demonstrated. Experimental results reveal that the silicon membrane of the pressure sensor is free of metal-deposition contamination and functionally operational. The packaged pressure sensor met all of the specifications of an unpackaged bare pressure sensor, holding a maximum sensing...
The assembly of a single carbon nanocoil on the tip of an atomic force microscope probe has been demonstrated by utilizing dielectrophoresis in an isopropyl alcohol solution. The nanocoil adheres to the probe tip where the maximum electrical field exists. Its orientation due to the relative position between the probe tip and the dielectrophoresis electrode has been investigated. The capillary effect...
Recently SVMs using spatial pyramid matching (SPM) kernel have been highly successful in image classification. Despite its popularity, these nonlinear SVMs have a complexity O(n2 ~ n3) in training and O(n) in testing, where n is the training size, implying that it is nontrivial to scaleup the algorithms to handle more than thousands of training images. In this paper we develop an extension of the...
In this paper, we propose a new Distributed Video Coding (DVC) algorithm based on compressive sampling principles. Our encoding algorithm transmits a set of measurements of every frame block. Using these measurements, the decoder finds an approximation of each block as a linear combination of a small number of blocks in previously transmitted frames. Thanks to the simplicity of the encoding, our algorithm...
In this study, a chip scale packaging (CSP) of piezoresistive pressure sensors using a dry-film shielding approach is demonstrated. A sensing-channel just above the silicon membrane of the pressure sensor has to be reserved in the package body. To prevent the silicon membrane of the pressure sensors from the metal-deposition contaminations, a dry-film with a redistribution pattern is used to shield...
Research groups and software companies have developed a number of multimedia collaboration tools such as Access Grid and Vannotea to archive collaborative objects such as audiovisual communications and digital annotations. Most of these tools are designed to process multimedia data streams, and it is not easy for their users to extend or modify them to support other types of data streams such as those...
The medical costs for elderly people in Taiwan have increased largely due to the increasing number of aging people in the country. To meet the goals and requirements of the National Health Insurance (NHI), designing and providing a program which would reduce the unnecessary medical services demanded by elderly people is needed. In this research, a conceptual service model of the telecare system applied...
In this paper, we present an efficient discriminative method for human pose estimation. This method learns a direct mapping from visual observations to human body configurations. The framework requires that the visual features should be powerful enough to discriminate the subtle differences between similar human poses. We propose to describe the image features using salient interest points that are...
Recent studies in patch-based Gaussian Mixture Model (GMM) approaches for face age estimation present promising results. We propose using a hidden Markov model (HMM) supervector to represent face image patches, to improve from the previous GMM supervector approach by capturing the spatial structure of human faces and loosening the assumption of identical face patch distribution within a face image...
This paper proposes a general framework to detect unsafe states of a system whose basic realtime parameters are captured by multi-sensors. Our approach is to learn a danger level function which can be used to alert the users in advance of dangerous situations. The main challenge to this learning problem is the labelling issue, i.e., it is difficult to assign an objective danger level at each time...
In this paper, we address the problem of hallucinating a high resolution face given a low resolution input face. The problem is approached through sparse coding. To exploit the facial structure, non-negative matrix factorization (NMF) is first employed to learn a localized part-based subspace. This subspace is effective for super-resolving the incoming low resolution face under reconstruction constraints...
A new photonic signal processor with wavelength reusability that can generate multiple taps including bipolar taps, is presented. It features coherence-free operation, and offers the ability of providing scalability and reconfigurability.
This paper presents a novel 3-DOF PKM module that can be integrated into a manufacturing cell for large aircraft component machining. The design features of this module are briefly addressed. On the basis of the formulation of the overall Jacobian matrix, the design issues in this article are mainly focused upon the dimensional synthesis and stiffness evaluation with a goal to provide engineers with...
This paper addresses the problem of generating a super-resolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed sensing. The low-resolution image is viewed as downsampled version of a high-resolution image, whose patches are assumed to have a sparse representation with respect to an over-complete dictionary of prototype signal-atoms...
We introduce a general formulation, called non-negative graph embedding, for non-negative data decomposition by integrating the characteristics of both intrinsic and penalty graphs [17]. In the past, such a decomposition was obtained mostly in an unsupervised manner, such as Non-negative Matrix Factorization (NMF) and its variants, and hence unnecessary to be powerful at classification. In this work,...
In recent years, local pattern based object detection and recognition have attracted increasing interest in computer vision research community. However, to our best knowledge no previous work has focused on utilizing local patterns for the task of human detection. In this paper we develop a novel human detection system in personal albums based on LBP (local binary pattern) descriptor. Firstly we review...
This paper addresses the problem of recovering 3D human pose from a single monocular image, using a discriminative bag-of-words approach. In previous work, the visual words are learned by unsupervised clustering algorithms. They capture the most common patterns and are good features for coarse-grain recognition tasks like object classification. But for those tasks which deal with subtle differences...
In this paper, we study the problem of subspace-based face recognition under scenarios with spatial misalignments and/or image occlusions. For a given subspace, the embedding of a new datum and the underlying spatial misalignment parameters are simultaneously inferred by solving a constrained lscr1 norm optimization problem, which minimizes the error between the misalignment-amended image and the...
Depending on the duration of exposure at supraphysiological temperatures, cellular proteins and organelles would suffer structural alternation and irreversible denaturation which may induce cell death. In the present study, a commercial hotplate was used to provide a constant temperature to heat the human embryonic kidney cells (293 T). Heat transfer model were performed to evaluate thermal equilibrium...
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