The paper is focused on practical application of Cambridge Correlator. The goal is to propose a traffic signs inventory system by using excellent characteristics of correlator in the rapid optical correlation. The proposal of this inventory system includes obtaining of traffic signs to create the database either collecting the GPS coordinates. It is necessary to know the traffic signs position ...

<p class="IJASEITAbtract"><span lang="EN-US">As time advances, the use of deep learning-based object detection algorithms has also evolved leading to developments new human-computer interactions, facilitating an exploration various domains. Considering automated process detection, systems suitable for detecting violations are developed. One such applications is social distancing and...

entrepreneurship education is one of the most important informal training programs that are conducted in most training centers. the aim of this research is to investigate the relationship between need for cognition, training self-efficacy, and learning training motivation with training transfer. the method of research is correlational and 164 trainees of entrepreneurship center of university of...

The purpose of this study is to extend the existing knowledge of inter-firm knowledge transfer research and provide a deeper understanding of knowledge transfer practice in an alliance context, as well as the reasons for such a practice. This study reports on relevant results derived from semi-structured interviews with 16 top managers in a Chinese international joint venture (IJV) formed by tw...

The intent of this report is to provide the reader with infor­ mation useful for establishing a sewer system inventory and record system in his or her city. The major topic of this report is the collection of data relevant to storm sewers. However, because of the natural progression of Muncie’s inventory, emphasis will be given to the collection of data for sanitary and combination sewers. The ...

Abstract This paper presents a linear dynamical operator described in terms of rational transfer function, endowed with well-defined and efficient back-propagation behavior for automatic derivatives computation. The enables end-to-end training structured networks containing functions other differentiable units by exploiting standard deep learning software. Two relevant applications the system i...

The objective of this research is to develop a system for miniature language learning based on a minimum of prewired language-specific functionality, that is compatible with observations of perceptual and language capabilities in human development. In the proposed system, meaning is extracted from video images based on detection of physical contact and its parameters. Mapping of sentence form t...

The objective of this research is to develop a system for miniature language learning based on a minimum of prewired language-specific functionality, that is compatible with observations of perceptual and language capabilities in human development. In the proposed system, meaning is extracted from video images based on detection of physical contact and its parameters. Mapping of sentence form t...

In an effort to expand the disciplinary discussions on transfer in L2 writing and because most studies have focused on transfer as reuse and not as an adequate adaptation of writing knowledge in new contexts, the present study as the first of its kind aimed to explore the issue of adaptive transfer in an English for General Academic Purposes (EGAP) writing course. The study thus focused on type...