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Showing 3 results for Identification

Amir Vafaeian, Keivan Borna, Hamed Sajedi, Dariush Alimohammadi, Pouya Sarai,
Volume 5, Issue 2 (9-2018)
Abstract

Background and Aim: Automatic identification and classification of the Iranian traditional music scales (Dastgāh) and melody models (Gusheh) has attracted the attention of the researchers for more than a decade. The current research aims to review conducted researches on this area and consider its different approached and obstacles.
Method: The research approach is content analysis and data collection method is based on the documentary-library study.
Results: Findings indicated that the main obstacles and reasons for the inefficiency of this area researches are due to performing the researches in parallel and individually, lack of a coherent dataset for Iranian traditional music and also, lack of researcher’s knowledge of the theoretical foundations of Iranian traditional music.
Conclusion: It could be considered two main approaches for researches in automatic identification of the Iranian traditional music. The major researches has been published until now, is conducted based on Macro approach, which merely considers the scales of five Dastgāhs in distinguishing them from each other. Since Dastgāhs division does not have enough authenticity and there is no consensus on the number of Dastgāhs and their boundaries among the Iranian music theorists, Micro approach has been suggested for future researches, which tries to identify short melody models (Gushehs) based of melody sequences of representative phrase of the Gusheh. 
Mansour Torkiantabar, Zahra Arzani,
Volume 6, Issue 1 (4-2019)
Abstract

Background and Aim: This study aimed to evaluate cognitive skills, composition and use of information among graduate students of Islamic Azad University Doruod Branch.
Methods: The research is descriptive. The study sample included 1105 persons of Doruod Islamic Azad University graduate students, which is based on the sample of 286 subjects were selected. To gather data for these study questionnaires were used. The questionnaires were distributed and 276 questionnaires were received that the number of Inventory data extraction and analysis using statistical software was SPSS20. Descriptive statistics of mean and standard deviation and inferential statistics t test was used.
Results: The results showed that the cognitive, composition and use of information among graduate students of Islamic Azad University Doruod higher than average.
Conclusion: The results of this study and other research related to information literacy of students  It can be concluded that universities and higher education institutions should pay special attention to students' information literacy and provide grounds for its upgrade.
M Reza Karimi, M Bahram Adel Marini, M Mohammadreza Nasiri,
Volume 7, Issue 1 (6-2020)
Abstract

Aim: The purpose of the study is to examine familiarity and application of smart technologies {Radio-frequency identification (RFID),  Quick Response code(QR),    Near-Field-Communication Mobile (NFC)} on customer relationship management (CRM).
Methodology: An applied study collecting data via Stokić, Stojanović, Bogdanović, Despotović-Zrakić, Radenković questionnaire. Population consisted of 160  Public librarians  in Ardabil province.  Data analyzed by Pearson Correlation Coefficients. 
Results: With the advent of information technology, most library services have been transformed. Findings shows that understanding and application of smart technologies is at an average level and reception of smart technologies is in decent condition.  Librarians  have faith in   smart technologies and the level of productivity and efficiency of librarians from the components of intelligent technologies is at a higher than average and close to the desired level. There is no significant relationship between the components of the variable "Introduction to smart technologies" to non-smart phones and the component of service quality from the variable of customer relationship management. Also, there is a significant relationship between the components of "familiarity per smart technologies" with the components of user satisfaction and user loyalty of the variable of customer relationship management.
Conclusion: Using smart technologies, notably smart phone technology, improves customer relationship management in libraries.

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