3D Object Reconstruction using Multi-View Calibrated Images

In this study, two models are proposed, one is a visual hull model and another one is a 3D object reconstruction model. The proposed visual hull model, which is based on bounding edge representation, obtains high time performance which makes it to be one of the best methods. The main contribution of the proposed visual hull model is to provide bounding surfaces over the bounding edges, which results a complete triangular surface mesh. Moreover, the proposed visual hull model can be computed over the camera networks distributedly. The second model is a depth map based 3D object reconstruction model which results a watertight triangular surface mesh. The proposed model produces the result with acceptable accuracy as well as high completeness, only using stereo matching and triangulation. The contribution of this model is to playing with the 3D points to find the best reliable ones and fitting a surface over them

Arsenic, Cadmium, Chromium, and Lead in Children’s Products in Iran

Background: Non-standard creativity tools and entertainment products may contain heavy metals. Children are more sensitive than adults to this potentially toxic chemicals. This study aimed at investigating harmful elements in children’s products in Iran. Methods: In this descriptive-analytical study, Iranian samples (13 play dough samples, 6 finger paint, and 1 face paint sample) and 10 imported samples were investigated by atomic absorption spectrophotometry. The statistical analyses were performed using the SPSS statistical package (version 19). Results: The results of this study showed that the lead content of 2 samples of play dough (76%), 10 samples of finger paint (100%) and 3 samples of face paint (100%) was higher than the permissible limits set by the Iranian National Standards Organization. Lead and cadmium contents of 100% of the samples of play dough, along with the face and finger paints exceeded the permissible limits set by the European Union. Conclusion: Research on prolonged exposure to harmful elements and comprehensive risk characterization for toys is recommended

Teacher's feedback and student's preferences in an Advanced Writing Course: A Case Study

This paper was intended to examine teacher's corrective feedback and student's preferences in an advanced writing course. The study was conducted using a questionnaire as the instrument and 15 MA TEFL students from Ilam state university in Iran as the participants. The students were asked to prioritize among a list of ten aspects of error correction and feedback. The findings made it clear that a high majority of the students chose to be corrected, commented, and guided on the issue of organization as their first priority. The results further specified that instructors should realize that advanced students do not like to be treated in the same way as the elementary and intermediate pupils do. Otherwise, it may result in students' discontent and boredom in educational setting.

Teacher's feedback and student's preferences in an Advanced Writing Course: A Case Study

This paper was intended to examine teacher's corrective feedback and student's preferences in an advanced writing course. The study was conducted using a questionnaire as the instrument and 15 MA TEFL students from Ilam state university in Iran as the participants. The students were asked to prioritize among a list of ten aspects of error correction and feedback. The findings made it clear that a high majority of the students chose to be corrected, commented, and guided on the issue of organization as their first priority. The results further specified that instructors should realize that advanced students do not like to be treated in the same way as the elementary and intermediate pupils do. Otherwise, it may result in students' discontent and boredom in educational setting.

A Model for Learners Segmentation and Educational Performance Improvement Using Data Mining Algorithms

Educational performance measurement through the identification and analysis of data extracted from learners’ activities can effectively result in the improvement of educational performance. In this Article, data of international learners was analyzed based on design science methodology and using data mining methods. In this regard, domestic and international research has been reviewed over the past decade and the academic and non-academic data of students were clustered into three categories: family, supportive, and academic behavior. After the validation of algorithms outputs and determining the number of optimal clusters in each category, clusters were labeled and analyzed. Analysis of labels presents the experience of success or failure of students and roots of effective performance in each cluster, and the labeling method proposed is a new and applicable method in most of the learning centers for segmenting and formulating the educational performance

A Critical Discourse Analysis of Iranian Sport Media: A Case Study

Sport media can go beyond reflecting sport events and shape and direct public opinions. However, few, if any, studies have addressed this area in an Iranian context. Therefore, the present study sought to critically analyze Iranian sport media texts by focusing on a particular subject. To do so, a corpus of sampled texts, which reflected official and semi-official stances on the two Iranian footballers’ act of playing against an Israeli team, was analyzed using Fairclough’s three-dimensional model. The findings of the study indicated how speakers use linguistic means to highlight the desired points of view, establish power relations, and control readers’ mind and thinking. The findings also revealed that sport media can be used to strengthen dominant ideologies already legitimatized and approved by sportspeople

Analytical Evaluation of Emerging Scientific Fields in Middle East Tourism Industry Using the Text Mining Algorithms

Tourism is an important industry from different aspects for government, industry, religious groups, anthropologists and tourists. The study of the scientific trend in the tourism sector can increase the knowledge of each group, and ultimately, promotes researchers' awareness of this area and appropriate decision making of business owners. The purpose of the present research is to investigate the scientific trend of tourism in all Middle Eastern countries, using the text-exploration algorithm of sequence exploration, which was selected as the most reliable scientific database of the world for reviewing articles. The purpose of this research is to investigate the scientific trend of tourism in all Middle Eastern countries, using the text-exploration algorithm of sequence exploration, which was selected as the most reliable scientific database of the world for reviewing articles. For this purpose, the Web of Science database was selected as the world's most authoritative database for reviewing articles. A total of 1141 articles were searched for the word "tourism", taking into account the Middle East countries on the database. Among the various methods for extracting and analyzing scientific trends, the valid method of text mining was selected using the Burst Detection algorithm, and this method is used to analyze and evaluate the extracted papers, which also has significant results. The results of the analysis of the articles show that some scientific areas have more repetition in the title, keywords, and abstracts of international articles which indicates the importance of these areas of science to other areas and the need for more attention to them in the field of tourism

Designing a Fuzzy Inference System for Predicting the Implementation Success of ERP Solution

Implementation of Enterprise Resource Planning has had a chaotic history in which many projects ended successfully and many failed or ended without approaching the predetermined objectives. This research, in terms of purpose, is considered fundamental since it designs a new system for solving a fundamental problem and it is also an applied research because the research result is deployed in the organization for determining the implementation success ratio. The research utilizes the content analysis for identifying the factors and indicators and uses a survey research for gathering data from selected organizations. In this study, for overcoming the problems of implementation project, a fuzzy system has been designed, trained and validated using the Adaptive Neuro-Fuzzy Inference System so as to predict the implementation success ratio before the initiation of the project. The research output is an intelligent fuzzy inference system

A Fuzzy Inference System for Evaluating the Performance of Knowledge Management System in Software Development Industry

In this research, for the purpose of evaluating the performance of knowledge management systems as an improving infrastructure for organizational learning and performance in software development industry, a fuzzy inference system is designed and evaluated. At first, input variables were extracted as the performance evaluators of knowledge management system. Then, if-then rules were identified through the utilization of experts’ opinions and inserted to the fuzzy rule-base. The output of inference system was also designed for performance evaluation of knowledge management system. The designed system, through a comprehensive assessment of knowledge management systems, can enable organizations to identify the strengths, weaknesses, current condition, and future decisions making for the purpose of performance improvement. For the validation of fuzzy inference system, a comparison was made between system outputs and experts viewpoints. Considering the very small difference between the average of experts’ opinions and system output, it can be stated that the system has an appropriate precision and validity for future assessment

Malaria or flu? A case report of misdiagnosis

We present and discuss elaborately a case of malaria misdiagnosis in a 27-year-old woman in Chalus, Mazandaran Province, North Iran in 2013. The patient has been complaining of fever, shivering and myalgia for three months. Although she visited two physicians during this time, the problem still remained owing to misdiagnose. Eventually in hospital after a precise examination on her thick and thin blood film, the causative agent of disease was diagnosed as plasmodium vivax. The patient received treatment accordingly and all clinical manifestations were vanished