Comparison Of Compolab Tm And Hemocue HB301 For Haemoglobin Estimation Of Whole Blood Donors

Bagi setiap pengumpulan darah dari mana-mana penderma darah yang berpotensi, pemeriksaan hemoglobin pra-pendermaan darah diperlukan. Penyaringan penderma berpotensi adalah penting bagi memastikan produk darah adalah selamat untuk penerima dan pada masa yang sama ia adalah selamat untuk penderma darah For every blood collection from any potential blood donor, pre-transfusion haemoglobin screening is required. It is important to screen potential donors so that the blood products are safe for recipient and at the same time safe for the blood dono

Realizing quantum controlled phase-flip gate through quantum dot in silicon slow-light photonic crystal waveguide

We propose a scheme to realize controlled phase gate between two single photons through a single quantum dot in slow-light silicon photonic crystal waveguide. Enhanced Purcell factor and beta factor lead to high gate fidelity over broadband frequencies compared to cavity-assisted system. The excellent physical integration of this silicon photonic crystal waveguide system provides tremendous potential for large-scale quantum information processing.Comment: 9 pages, 3 figure

Beyond point forecasting: evaluation of alternative prediction intervals for tourist arrivals

This paper evaluates the performance of prediction intervals generated from alternative time series models, in the context of tourism forecasting. The forecasting methods considered include the autoregressive (AR) model, the AR model using the bias-corrected bootstrap, seasonal ARIMA models, innovations state-space models for exponential smoothing, and Harvey's structural time series models. We use thirteen monthly time series for the number of tourist arrivals to Hong Kong and to Australia. The mean coverage rate and length of alternative prediction intervals are evaluated in an empirical setting. It is found that the prediction intervals from all models show satisfactory performance, except for those from the autoregressive model. In particular, those based on the bias-corrected bootstrap in general perform best, providing tight intervals with accurate coverage rates, especially when the forecast horizon is long.Automatic forecasting, Bootstrapping, Interval forecasting

The impact of dispersion fluctuation on the optimization of parametric wavelength exchange

The optimized parameters of wavelength exchange vary from fiber to fiber due to zero-dispersion wavelength fluctuation. This problem can be solved by reducing wavelength separation between signal and idler at the expense of reduced tunability. © 2009 IEEE.published_or_final_versio

Aberration-aware robust mask design with level-set-based inverse lithography

Optical proximity correction (OPC) is one of the most widely used Resolution Enhancement Techniques (RET) in mask designs. Conventional OPC is often designed for a set of nominal imaging parameters without giving sufficient attention to the process variations caused by aspherical wavefront leaving the exit pupil of the lithography system. As a result, the mask designed may deliver poor performance with process variations. In this paper, we first describe how a general point spread function (PSF) with wave aberration can degrade the output pattern quality, and then show how the wave aberration function can be incorporated into an inverse imaging framework for robust input mask pattern design against aberrations. A level-set-based time-dependent model can then be applied to solve it with appropriate finite difference schemes. The optimal mask gives more robust performance against either one specific type of aberration or a combination of different types of aberrations. © 2010 SPIE.published_or_final_versionThe Photomask and Next-Generation Lithography Mask Technology XVII, Yokohama, Japan, 13-14 April 2010. in Proceedings of SPIE, 2010, v. 7748, article no. 77481U, p. 1-

A signomial programming approach for binary image restoration by penalized least squares

The authors present a novel optimization approach, using signomial programming (SP), to restore noise-corrupted binary and grayscale images. The approach requires the minimization of a penalized least squares functional over binary variables, which has led to the design of various approximation methods in the past. In this brief, we minimize the functional as a SP problem which is then converted into a reversed geometric programming (GP) problem and solved using standard GP solvers. Numerical experiments show that the proposed approach restores both degraded binary and grayscale images with good accuracy, and is over 20 times faster than the positive semidefinite programming approach. © 2007 IEEE.published_or_final_versio

Beam-steering Surface Wave Fluid Antennas for MIMO Applications

This paper proposed to use surface wave fluid antennas to realize beam-steering functionality and spatial diversity for MIMO applications. By utilizing the advantage of the non-radiating feature of surface wave propagation, in contrast to the conventional multiple RF input ports approach reported, the proposed design only required one RF input to achieve the spatial diversity. The surface wave fluid antenna is designed to work in the millimeter-wave frequency band from 20 to 26.5 GHz. The preliminary results show that the radiation direction of the antenna can be controlled by changing the position of the fluid metal radiator