this research identifies returns to scale (rts) of efficient decision making units (dmus) with desirable (good) and undesirable (bad) inputs and outputs by presenting a new dea (data envelopment analysis) approach. in this study, we first introduce a new input-output oriented model to determine efficient dmus in the presence of undesirable factors and then, returns to scale of these dmus are es...

This paper presents a feature-based method for matching facial sketch images to face photographs. Earlier approaches calculated descriptors over the whole image and used some transformation and matched them by some classifiers. We present an idea, where descriptors are calculated at selected discrete points (eyes, nose, ears...). This allows us to compare only prominent features. We use SIFT (S...

Time-to-collision can be directly measured from a spatio-temporal image sequence obtained from an uncalibrated camera. This it would appear to offer a simple, elegant measurement for use in obstacle avoidance. However, previous techniques for computing time to collision from an optical flow have proven impractical for real applications. This paper present a new approach for computing time to co...

In this paper, non parametric Data Envelopment Analysis (DEA) was subjected to the energy data of wheat producers in Punjab state, India, and technical, pure technical and scale efficiencies were calculated for farms both category wise and zone wise. The main objective was to determine the strength of the correlation between non-parametric efficiencies and indices such as energy ratio and speci...

this paper applied a non-parametric (data envelopment analysis) method to analyze the efficiency of farmers, discriminate efficient farmers from inefficient ones and to identify wasteful uses of energy in order to optimize the energy inputs for greenhouse cucumber production in lorestan province of iran. data were collected from 27 cucumber producers by using a face-to-face questionnaire.dea cr...