Come with us to read a new book that is coming recently. Yeah, this is a new coming book that many people really want to read will you be one of them? Of course, you should be. It will not make you feel so hard to enjoy your life. Even some people think that reading is a hard to do, you must be sure that you can do it. Hard will be felt when you have no ideas about what kind of book to read. Or...

Several tests of radiology have been designed to predict difficult laryngoscopy, but there were few relative studies of Chinese patients. Our study is to investigate the accuracy of lateral neck radiography in predicting difficult laryngoscopy in Chinese patients. The operative database of Xuanwu Hospital, Capital Medical University, was reviewed and all the patients who had performed lateral n...

during the last years, the concept of input congestion and technical ineff- ciency in data envelopment analysis (dea), have been investigated by manyresearchers. the motivation of this paper is to present models which obtain thedecreased output value due to input congestion and technical ineciency. more-over, we extend the models to estimate input congestion, technical ineciencyand output red...

Interactive image segmentation of images has great practical importance. Grab cut is an approach based on optimization by graph cut is implemented by Rother et. al. Grab cut is faster technique and it only requires a rough initial trimap by user interaction. But Grab Cut fails for the images having same foreground and background color Intensity Here we proposed a variation of Grab cut by applyi...

Metal price is one of the most important parameters in the calculation of cut- off grade. The cut- off grade has the main role in determination of mine layout. Mine layout actuates mineable reserve, mine life and economic profitability. Not considering the uncertainty in metal prices can lead to a non-optimal layout. In this paper optimum underground mine layout is determined by expected utilit...

This paper introduces a new supervised Bayesian approach to hyperspectral image segmentation, with two main steps: (a) learning, for each class label, the posterior probability distributions, based on a multinomial logistic regression model; (b) segmenting the hyperspectral image, based on the posterior probability distribution learnt in step (a) and on a multi-level logistic prior encoding the...

We examine a linear programming problem formulation in which the constraint coefficients are not precisely given in the work. We investigate the possibility of applying GAs to solve this kind of fuzzy linear programming problem without defining membership functions for fuzzy numbers, using the extension principle, interval arithmetic, and α-cut operations for fuzzy computations, and using a pen...

The conventional data envelopment analysis (DEA) measures the relative efficiencies of a set of decision making units (DMUs) with exact value of inputs and outputs. For imprecise data, i.e., mixtures of interval data and ordinal data, some methods have been developed to calculate the interval of the efficiency scores. This paper constructs a procedure to measure the efficiencies of DMUs with mi...