Learn More
With the advent of high-throughput technologies for measuring genome-wide expression profiles, a large number of methods have been proposed for discovering diagnostic markers that can accurately discriminate between different classes of a disease. However, factors such as the small sample size of typical clinical data, the inherent noise in high-throughput(More)
Finding reliable gene markers for accurate disease classification is very challenging due to a number of reasons, including the small sample size of typical clinical data, high noise in gene expression measurements, and the heterogeneity across patients. In fact, gene markers identified in independent studies often do not coincide with each other,(More)
The antibiotic nisin, produced by Lactococcus lactis subsp. lactis N8, offers an extensive commercial prospect as natural food preservatives. The nisin immunity of the L. lactis strains is regulated by a variety of mechanisms. In this study, we isolated a L. lactis L31 strain with increased nisin resistance from a mini-Mu transposon mutant pool of strain(More)
Temperature variation in microprocessors is a workload dependent problem. In such a design, the clock skew should be minimized with respect to temperature variation. Existing work has studied clock tree embedding perturbation considering time variant temperature variation. There is no existing method that can reduce skew variation. This paper develops an(More)
Due to the inherent measurement noise in microarray experiments, heterogeneity across samples, and limited sample size, it is often hard to find reliable gene markers for classification. For this reason, several studies proposed to analyze the expression data at the level of groups of functionally related genes such as pathways. One practical problem of(More)
Deep convolutional neural networks (CNN) are widely used in modern artificial intelligence (AI) and smart vision systems but also limited by computation latency, throughput, and energy efficiency on a resource-limited scenario, such as mobile devices, internet of things (IoT), unmanned aerial vehicles (UAV), and so on. A hardware streaming architecture is(More)
Monitoring certain features of a structure over time and evaluating these features to determine the health of a structure is referred to as Structural Health Monitoring (SHM). SHiMmer, a solar-powered wireless SHM system, monitors a structure, processes the results, and transmits the data to an external device. In this paper, we examine the components of(More)
Due to the diverse aspects of our project, we have chosen to research several different areas including: system design considerations, task scheduling algorithms, embedded operating systems, energy modeling circuits, and types of energy storage. In this paper, we summarize each reference, focusing on the aspects of the paper that most relate to our project.(More)
This paper describes the design of a 1-GHz quadrature modulator for 802.11a WLAN systems with TSMC 0.18-/spl mu/m CMOS technology. By using an improved double-balanced mixer combined with a double-balanced mixer, a common-mode feedback circuit and an improved transconductance amplifier, the linearity of the modulator is improved. The experimental results(More)
Due to the conservative additive increase and multiplicative decrease strategy, traditional TCP has a severe problem in utilizing bandwidth over high-speed long-distance networks. This paper proposes a delay-based congestion control algorithm, named DFTCP, for these networks. DFTCP calculates a reasonable equilibrium point for a network flow based on the(More)