Hypothetical bias is one of the main issues bedeviling the field of nonmarket valuation. The general criticism is that survey responses reflect how people would like to behave, rather than how they actually behave. In our study of climate change and emissions reductions, we took advantage of the increasing bulk of evidence from psychology and economics that addresses the effects of making promi...

Automatic Pattern Recognition field has witnessed enormous growth in the past few decades. Being an essential element of Pattern Recognition, Document Image Analysis is the procedure of analyzing a document image with the intention of working out the contents so that they can be manipulated as per the requirements at various levels. It involves various procedures like document classification, o...

OBJECTIVE To implement and assess the effectiveness of the Strathclyde Computerized Randomized Interactive Prescription Tutor (SCRIPT) in teaching a competency-based undergraduate pharmacy course. DESIGN Data on students' access to SCRIPT, collected by quantitative electronic data capture, were analyzed to determine student usage patterns and correlations between usage and grades in class ass...

This paper presents a novel approach to recognize Grantha, an ancient script in South India and converting it to Malayalam, a prevalent language in South India using online character recognition mechanism. The motivation behind this work owes its credit to (i) developing a mechanism to recognize Grantha script in this modern world and (ii) affirming the strong connection among Grantha and Malay...

PURPOSE To examine the effects and generalization of a modified script training intervention, delivered partly via videoconferencing, on dialogue scripts that were produced by 2 individuals with aphasia. METHOD Each participant was trained on 2 personally relevant scripts. Intervention sessions occurred 3 times per week, with a combination of in-person meetings and videoconferencing, and last...

Script identification is very important to develop the scripts OCR systems. In this paper, we proposed a new algorithm for script identification based on the global and local texture of document images. The BEMD method is used to decompose the image to some components (IMFs) and then the Local Binary Patterns (LBP) method is used to detect the features. Experiments shown the recognition rate ba...

There are generally many ways to transliterate a name from one language script into another. The resulting ambiguity can make it very difficult to “untransliterate” a name by reverse engineering the process. In this paper, we present a highly successful cross-script name matching system that we developed by combining the creativity of human intuition with the power of machine learning. Our syst...

The identification of the language of the script is an important stage in the process of recognition of the writing. There are several works in this research area, which treat various languages. Most of the used methods are global or statistical. In this present paper, we study the possibility of using the features of scripts to identify the language. The identification of the language of the s...

This paper describes a technique for text segmentation of machine printed Gurmukhi script documents. Research in the field of segmentation of Gurmukhi script faces major problems mainly related to the unique characteristics of the script like connectivity of characters on the headline, two or more characters in a word having intersecting minimum bounding rectangles, multicomponent characters, t...

A hypertext version of this paper is also available 1]. This paper provides a brief description of a software tool developed within the tltp Interact Project 2] which allows application programs, concurrently executing within a Unix environment, to be controlled by scripts delivered to Mosaic from W3 servers. This tool was developed to allow the coupling of interactive simulations of sci-entiic...