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Metal film materials have been widely used in optical devices, green energy field, biosensor technologies, and so on. In these applications, the properties of metal surface play the significant role. However, propagation characteristics of light in metal-based materials are still confusing. Wavelength-dependent refraction going from negative to positive at air/metal interface was reported in previous...
The ability to simultaneously manipulate multiple magnetic particle (or beads) opens up new opportunities in conducting large-scale studies involving multiple biological objects. In this paper we present the development of two control schemes, namely PI control with an arbitrary control sequence and optimal control with a selected control sequence, for simultaneous position-regulation of magnetic...
The ability to precisely manipulate a single magnetic particle (within a closely distributed group of such particles) has potential applications in studying cellular and molecular behavior at an ensemble-level and in enabling more sophisticated ways of manipulating cells, biomolecules, and other micro-structures. This requires the applied magnetic field be localized. The extent of this localization...
This paper proposes a novel algorithm for mobile robot navigation in completely unknown dynamic environments involving humans. Unlike existing navigation algorithms that assume full knowledge of the environment, i.e. position, direction and velocity of all obstacles, the proposed algorithm is only based on the local sensory information. The algorithm, inspired from pedestrian studies, has a proxemics-based...
We explore the efficacy of dynamic effective capacity modulation (i.e., using virtualization techniques to offer lower resource capacity than that advertised by the cloud provider) as an explicit control knob for a cloud provider's profit maximization complementing the more well-studied approach of dynamic pricing. Our focus is on emerging cloud ecosystems wherein we expect tenants to modify their...
Forecasting of wind speed and wind power generation is indispensable for the effective operation of a wind farm and the optimal management of revenue and risks. Hybrid forecasting of time series data is considered to be a potentially effective alternative compared with the conventional single forecasting modeling approaches such as autoregressive integrated moving average (ARIMA) and artificial neural...
With the increasing use of non-linear loads, the harmonic problems have become of great concerns. One of the solutions to harmonics is the application of shunt active power filters (APFs). The APF reference compensation strategy proposed in this paper adopts the backpropagation neural network (BPNN) to train the control algorithm and calculate the reference compensation current under steady state...
Hyperspectral imaging provides new opportunities for improving face recognition accuracy. However, it poses such challenges as difficulty in data acquisition, low signal to noise ratio (SNR), and high dimensionality. In this paper, we propose a novel method for hyperspectral face recognition with good recognition rates. We first reduce noise adaptively from each spectral band and then crop each face...
This paper presents the implementation of power quality (PQ) analysis platform that can access different venders' PQ meter data being translated to Power Quality Data Interchange Format (PQDIF) files and view the data through a LabVIEW-based graphical user interface. The implemented platform also can manage the retrieved PQ data in a customized database. Performance tests show that the implemented...
In this work, three novel TEM methodologies were used to characterize TSVs. First, we utilized the nano-beam diffraction technique to analyze the stress distribution within Si substrates. The keep-out zone can be determined in nano-scale. Second, the hollow-cone dark-field TEM technique was performed to enhance the image contrast of Cu grain features. Third, the TEM/EDS technique was utilized to examine...
A novel sensing and estimation scheme is introduced as an integrated part of a micro-stage based calibration method for a MEMS gyroscope. The proposed sensing scheme combines a periodically updating analog sensor with an event-based threshold sensor. A first derivative of Gaussian filter is applied to the threshold sensor signal to detect threshold crossings. A Kalman filter with the proposed sensing...
The electric field distribution within a cable joint can be strongly distorted due to its complicated structure, which possibly leads to interface discharge between the primary insulation of cable and the insulation of cable joint. Polypropylene (PP) with excellent electrical performance is considered as a promising material used as the primary insulation of cable, while silicone rubber (SiR) has...
Selective-area growth of high-density GaN nanowires on Si(111) substrate by plasma-assisted molecular beam epitaxy is studied. AlN nanopedestals used as nanowires growth seeds are fabricated by nanoimprint lithography. GaN nanowires with hexagonal cross-section show the best optical quality with a strong resonant emission at 3.457eV.
3D packaging has become a popular technology along with the tendency of functionality and portability for electronic devices. Conventional fault isolation techniques face a great challenge for 3D packaging devices. 3D X-Ray laminography technique can capture three-dimensional information about the internal structure of an object. Magnetic current imaging technique is a non-destructive failure isolation...
We review our recent work on the modelling, fabrication and characterization of hollow-core photonic bandgap fibers. We discuss the modal content of these fibers, as well as the opportunities and challenges presented by modal interactions in space division multiplexed transmission applications.
Performance ticket handling is an expensive operationin highly virtualized cloud data centers where physical boxeshost multiple virtual machines (VMs). A large body of ticketsarise from the resource usage warnings, e.g., CPU and RAMusages that exceed predefined thresholds. The transient natureof CPU and RAM usage as well as their strong correlation acrosstime among co-located VMs drastically increase...
Motivated by the increasing popularity of hosting in-memory big-data analytics in cloud, we present a profiling methodology that can understand how different memory subsystems, i.e., cache and memory bandwidth, are susceptible to the impact of interference from co-located applications. We first describe the design of the proposed tool and demonstrate a case study consisting of five Spark applications...
We optimize a novel W\WO3\Al2O3\Cu CBRAM cell allowing excellent control of Hour-Glass (HG) shaped Conductive Filament (CF), improving switching variability, disturb and retention at low current. We evidence for the first time the critical impact of the Cu chemical potential close to the HG constriction on state retention.
CMOS microelectrode arrays allow for recording from neurons at thousands of sites. Here, we introduce the concept of a ‘dual-mode operation’ microelectrode array, leveraging the advantages of full-frame scanning and switch-matrix array architectures into a single device. The chip was fabricated in 0.18 µm CMOS technology. Measured noise levels were 11.1 µVrms for full-frame scanning and 1.6 µVrms...
Solution-processed core/multi-shell semiconductor quantum dots (QDs) could be tailored to facilitate the carrier separation and recombination mechanisms necessary to implement photon upconversion. We have synthesized CdTe cores capped with CdS and then CdSe shells. We present steady-state and time-resolved photoluminescence (PL) spectroscopy measurements of these QDs as a function of varying shell...
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