two main factors influencing the entrepreneurial opportunity recognition, i.e. prior knowledge and cognitive characteristics have been identified. in order to examine the effect of prior knowledge on opportunity recognition with mediating role of cognitive characteristics including entrepreneurial alertness and entrepreneurial learning, the conceptual model of research and the related hypothese...

to investigate the effects of different glossing conventions on vocabulary recognition and recall, 158 participants were given a pre-test to make sure that they did not have any prior knowledge of the target words. reading passages with four different glossing conventions (interlinear, marginal, pre-text, and post-text) were given to eight groups. four groups received interlingual glosses and f...

opportunity recognition is a key focal point of research in the entrepreneurship domain in recent years. the purpose of this study was to incorporate individual and environmental factors into a research model in order to investigate the moderating effect of entrepreneurial environment on the relationships between creativity, entrepreneurial experience and entrepreneurial role models and opportu...

The license plate recognition system is part of the intelligent transportation system. In the intelligent transportation system, the vehicle image is used as the system input. The first step is to improve the image, after the edge detection, a series of morphological operations are performed to identify the plaque. The main purpose of this research was to increase the importance of plate re...

Automatic facial recognition has many potential applications in different areas of humancomputer interaction. However, they are not yet fully realized due to the lack of an effectivefacial feature descriptor. In this paper, we present a new appearance based feature descriptor,the local directional pattern (LDP), to represent facial geometry and analyze its performance inrecognition. An LDP feat...

Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems significantly improves the performance of these systems. There are two phases in DNN-based phoneme recognition systems including training and testing. Mos...

The face Detection methodsis used in order to provide security. The mentioned methods problems are that it cannot be categorized because of the great differences and varieties in the face of individuals. In this paper, face Detection methods has been presented for overcoming upon these problems based on skin color datum. The researcher gathered a face database of 30 individuals consisting of ov...

Biometric recognition is an automatic identification method which is based on unique features or characteristics possessed by human beings and Iris recognition has proved itself as one of the most reliable biometric methods available owing to the accuracy provided by its unique epigenetic patterns. The main steps in any iris recognition system are image acquisition, iris segmentation, iris norm...