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Non-invasive glucose monitoring is one of the most active areas in biomedical research. A novel method for blood glucose measurement is presented. The measuring system consists of modulated laser, polarizer, photodiode and the lock-in amplifier. To study the light propagation and distribution in skin, the tissues model is established by using Monte Carlo Method. The results demonstrate that linear...
In this work we are reporting on the development of a novel Surface Acoustic Wave (SAW) device based on MEMS technology for drug delivery in the treatment of ocular diseases. The miniaturized SAW drug delivery device will be placed on the eye surface to allow non-invasive long-term drug application based on the programmed timeline and electronic control of a drug regiment. This novel drug delivery...
A new fuzzy multi-objective decision-making model based on vague set theory and entropy method is presented in this paper. In the proposed model, the alternative schemes are weighted evaluation according to the integrated vague value of its elements relative to the ideal scheme. In order to calculate attributes weights objectively and accurately, a modified entropy weights calculation formula is proposed...
This paper analyzes and contrasts the development of modern general examination systems first. We make a summary of existing Examination Evaluation Systems and indicate the shortage that exists in them. Design and Implementation an Examination Evaluation System which is base on a certain type of equipment's Multimedia Emulation Repair Training System. Use Visual Studio 2003 as a platform to develop...
Recently least square estimator of L2 norm minimization and L1 norm minimization estimator are two popular algorithms in super resolution reconstruction. Thus in this paper, the pros and cons of L1 norm and L2 norm estimator are first analyzed, then they are weighted and combined, and adopting an approximate total variation regularization method, we proposed a weighted super resolution reconstruction...
The weaknesses between L1 norm minimization estimator and L2 norm minimization estimator in the traditional super resolution reconstruction problem are analyzed. In this paper, L1 norm and L2 norm are weighted and combined to measure the data fidelity term, and based on an approximate total variation regularization method, a robust weighted and combined super resolution reconstruction algorithm is...
During last two decades, Mobile Ad hoc Networks (MANETs) has been in widespread use. However, in some critical applications such as in battlefield or area sensing, due to the node mobility, limited power and sparse deployment density, MANETs may suffer network partitioning. Without a stable end to end path, these challenged scenarios could cause most existing ad hoc networks protocols to fail. In...
The objective of this study is to carry out reliability and risk analyses of a methodology of dynamically applying Flood Control Level (FCL) within a constraint boundary for the Three Gorges Reservoir (TGR) in middle China. The dynamic application model is based on the mid-term inflow forecasts, with different dispatching rules developed for forthcoming inflows of different magnitudes. The reliability...
According to technical statistics, current TCP protocols with approximately 80% Internet applications run on perform very well on wired networks. However, due to the effects of long propagation delay, great bandwidth asymmetry, high sporadic bit error rate (BER) and etc., TCP performance degrades obviously on the satellite communication networks. To avoid the problems, TP-S, a novel transport control...
Genetic algorithm (GA) is a global search technique and useful in finding near optimal solutions to complex non-linear optimization problems. Therefore, it is applied in this study to calibrate a lumped Xinanjiang hydrological model having 16 parameters. The lumped model consists 4 components: runoff generation, evapotranspiration , runoff subdivision and slope runoff routing. It is ?lumped?, for...
In this paper we propose an algorithm to estimate missing values in tensors of visual data. The values can be missing due to problems in the acquisition process, or because the user manually identified unwanted outliers. Our algorithm works even with a small amount of samples and it can propagate structure to fill larger missing regions. Our methodology is built on recent studies about matrix completion...
The design and construction of a apparatus to accurately determine the velocity of a projectile by measuring the time of flight between two parallel laser screens is presented. Each screen is formed by a laser source, a large photodetector and a retro-reflector. Optical output of the laser source is a collimated beam. The beam passes through cylindrical lens and the slit of photodetector reach to...
In this paper, a novel geometric features extraction method for facial expression recognition is proposed. ASM automatic fiducial point location algorithm is firstly applied to a facial expression image, and then calculating the Euclidean distances between the center of gravity coordinate and the annotated fiducial points' coordinates of the face image. In order to extract the discriminate deformable...
In addressing the scalability and accuracy tradeoff in topology aggregation mechanisms with delay and bandwidth constraints in hierarchical networks, we propose a demand partitioning based topology aggregation mechanism called dominative points based topology aggregation (DPTA). The main drawback of traditional approaches is that these approaches use lines or curves to approximately represent the...
Minimizing the total transmission power is one of the main objectives of efficient broadcast algorithms in wireless networks, where all nodes are powered by battery with limited energy supply. Cooperative transmission is an important way to make full use of the space diversity and can save the transmission power significantly, especially in the wireless broadcast transmission, where the nodes can...
Aiming at the problem in facial feature location, the Active Shape Models algorithm has no evaluable criterion to judge its convergence, and tend to run into local minimum when using the fixed search scale, and how to choose the scale is always an issue. This paper presents a method based on the whole shape gray grads to evaluate the search effects, and an improved search policy of multiscale. The...
The method of reducing the integral interval by using the fractional order delay filter to improve the performance of fractional differential filter is put forward in this paper. Firstly, in terms of the basic definition of integral the paper generalizes the sampling interval of integral operator from the integral order to fractional order and gets the integral operator whose sampling interval is...
In this paper, a novel feature extraction approach alpha-based supervised orthogonal projection reduction by affinity is proposed by introducing the idea of SLLE into the traditional method of OPRA. By adding an additional parameter a to control the degree of supervision, the proposed method can acquire some compromise between purely supervised OPRA and unsupervised OPRA and does not only keep the...
The traditional Gabor transform need calculate convolution with whole image when extract expression feature. So, the feature dimensions are very large and computation complexity is very high. Though some improved methods can reduce the feature dimensions and computing cost by manually marking out the feature points, but those methods need intense human intervention and can not meet to the need of...
In this paper, a novel design for improving the fractional order differential filter is put forward. By analyzing the frequency characteristic of typical fractional order differential filter, it can be seen that these kinds of differential filters have merits and demerits respectively and also could be complementary each other. So based on these features, three kinds of novel first order differential...
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