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Process-based terrestrial ecosystem models inevitably need model initialization and parameters specification. In this study, remotely sensed surface soil moisture derived from near infrared and shortwave infrared bands was assimilated in BEPS (Boreal Ecosystem Production Simulator) to initialize soil moisture in BEPS and fine-tune BEPS key parameters which are closely related to soil moisture estimation...
This paper presents the probabilistic logic model to compute the probability distribution of the nano gate states. The characterization is based on the Markov random field and statistic physics. The primary logic gates are probabilistically characterized. The effectiveness of the method is demonstrated by a full adder and an 8-bit adder. The analysis shows that the device probability distribution...
Device failure is an important consideration in nano-scale design. This paper presents a probabilistic logic model to compute the probability distribution of the nano gate states. The characterization is based on Markov random field and statistical physics. The basic logic gates are probabilistically characterized. The effectiveness of the method is demonstrated by an inverter and the inverter cascade...
Least squares support vector machine (LS-SVM) has an outstanding advantage of lower computational complexity than that of standard support vector machines. Its shortcomings are the loss of sparseness and robustness. Thus it usually results in slow testing speed and poor generalization performance. In this paper, a least squares support vector machine with linear programming formulation (LS-SVM-LP)...
The logics with probabilistic characterized is suitable for expressing the states of nanoscale device. This paper describes the logics and the using in computing the probability distribution of the nano gate states. It is based on the Markov random field with new features, such as clique potential, initial nodes probability density. We demonstrate the effectiveness of the method by preliminary gates...
Recently, gene expression profiling using DNA microarray technique has been shown as a promising tool to improve the diagnosis and treatment of cancer. Support vector machine has been successfully used to classify cancer tissue based on gene expression data. Besides performance, the ability to discover underlying principles will be a crucial point in the medical field. In this paper, we present a...
A highly sensitive and selective glucose biosensor was designed by immobilizing glucose oxidase (GOD) on a Prussian blue nanoparticles (nanoPBs) modified glassy carbon electrode using a novel titanic dioxide Solution-Gelation (TiO2-Sol-Gel) technique. Glucose measurement was based on the level of hydrogen peroxide (H2O2) produced concomitantly with the reaction of glucose and oxygen mediated by GOD...
Tracking odor to its source is the survival instinct of many animals gained in evolution, and that capability can be transferred to robotics. This paper describes a new and practical investigation of biomimetic robots for odor source localization. An embedded mobile robot platform was developed to process multi-tasks. A new odor sensing unit with a special data fusion algorithm was designed to enable...
Credit risk assessment is a basic and critical factor in credit risk management. In addition to conventional statistical method, neural network, decision tree and Support Vector Machine are the popular methods in this field in recent years. However, they all have weakness in two aspects: poor classification accuracy for unbalanced data and poor interpretability in real applications. A novel method,...
In many cases, data are represented as high dimensional feature vectors. It makes the feature selection necessary to reduce the computational burden, improve the generalization ability and the interpretability. In this paper, we present a novel feature selection method which is named least squares support feature machine (LS-SFM). In comparison with SVM and LS-SVM, this method has two outstanding...
Machine vision scheme and CCD install position are designed to realize the alignment of chip and substrate in the thermosonic flip-chip bonding process. Based on experiments on various color and style LED lights, the single-color LED illumination composed of a ring LED light and some LED lamps are adopted to get a uniform luminance of visual field and clear contours of the object's surface. The vision...
Deep-level defect-related optical properties of undoped n-type high-resistivity GaN grown by metalorganic chemical vapor deposition (MOCVD) are investigated using photoluminescence (PL), photoconductivity (PC), and persistent photoconductivity (PPC) measurements. Quite interestingly, persistent photoconductivity was observed. Through the combination of our optical studied, we find that persistent...
The AlGaN/InGaN/GaN high electron-mobility transistors (HEMTs) structure was grown by metal organic chemical vapor deposition (MOCVD) on (0001) sapphire substrates. The electron transport properties were investigated by variable temperature Hall effect measurements. The fabricated devices with gate length of 0.8mum and gate width of 120 mum show a transconductance of 136mS/mm and maximum drain current...
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