A New Data Hiding Algorithm Based on Pixel Value Differencing (printed in Persian) (original) (raw)

Automatic Vehicle Plate Recognition Using a Combinational Algorithm in HSV Color Space Based on SVM Classifier (Printed in Persian)

پلاک از ویژگی¬های منحصر به فرد¬ برای احراز هویت خودروها می¬باشد که تشخیص و شناسایی آن نقش مهمی در سیستم¬های ترابری هوشمند، کنترل ترافیک و شناسایی وسایل نقلیه دارد. چنین سیستم¬هایی شامل دو مرحله¬ی تشخیص محل پلاک و شناسایی کاراکتر¬های آن می-باشد. در این مقاله از روشی ترکیبی جهت تشخیص محل پلاک خودرو در تصاویر رنگی استفاده شده است. در الگوریتم پیشنهادی، ابتدا در مرحله تشخیص به منظور کاهش لبه¬های اضافی موجود در تصویر، پیش¬پردازش¬هایی در حوزه مکان صورت می¬گیرد، سپس با استفاده از تحلیل افکنش افقی بر روی لبه¬های آشکار شده از تصویر، نواحی کاندید برای محل پلاک استخراج شده و در گام بعدی با استفاده از آشکارساز لبه در فضای رنگ HSV و استخراج ویژگی¬ها در این حوزه، محل دقیق پلاک شناسایی می¬شود. در مرحله آخر نیز کاراکتر¬های پلاک با بهره¬گیری از کلاس¬بند SVM و اعمال آن بر روی ویژگی¬های بدست آمده از روش هیستوگرام گرادیان و مکان مشخصه، استخراج می¬گردد.

Psychometric Properties of the Persian Version of the Emotional Self-Disclosure Scale

Journal of Research in Behavioural Sciences, 2020

Aim and Background: Emotions play an important role in human life. Expression and disclosure of Emotions can bring many benefits to people. The aim of this study was adaptation and determine the psychometric characteristics of the Persian version of the Emotional Self-Disclosure Scale (ESDS). In order to facilitate the implementation of interventions related to emotion disclosure, it is necessary to prepare research tools to evaluate the effectiveness of these interventions and make them available to clinician. In addition, these tools allow the investigation of the relationship between emotional self-disclosure and other important psychological constructs in different populations. Methods and Materials: The research method was descriptive and correlational and sampling method was convenience. The initial sample consisted of 998 people, and the final sample, included valid questionnaires, and consisted of 976 students of public and Azad universities of Tehran and Alborz provinces. Participants who studying in the academic year 2019-2020, responded to Emotional Self-Disclosure Scale, Emotion Regulation Questionnaire (ERQ) and the Multiple Scale of Perceived Social Support (MSPSS). Findings: The results of exploratory factor analysis showed that ESDS has a five-factor structure in Iranian culture. The internal consistency of scale was desirable and Cronbach's alpha is 0.95. Correlation between ESDS with MSPSS scores indicates optimal convergent validity, and with ERQ scores indicate optimal divergent validity. Conclusions: Based on the findings, ESDS can be used as an effective tool for researchers and clinical specialists, in evaluating the rate of expression and disclosure of a variety of positive and negative emotions. This tool will be of great help to professionals in the field of emotional self-disclosure.

تعیین ضرایب معادله آنگستروم و توسعه یک معادله رگرسیونی برآورد تابش خورشیدی (مطالعه موردی:منطقه مشهد)

2009

Solar radiation, nowadays has a lot of application in different fields of agriculture, irrigation, and hydrology engineering and due to these various applications, different models has been proposed for it’s estimation. Angstrom-Prescott equation is one of the most important well known models for solar radiation estimation. This equation has empirically coefficient that various for each location. In this paper, the data gathered in Mashhad Synoptic station during 1378 and 1380, Angstrom-Prescott coefficient has been identified according to the ratio of actual sunshine hours (n) to the maximum sunshine hours (N). Also a Regression local equation has been proposed considering several meteorology parameters including daily gathered data of saturation vapor pressure deficit, precipitation, air temperature mean, relative humidity percentage and n/N. Finally the proposed model has been evaluated according to the independent measured data during 1381 to 1382. The statistical analysis of th...

Modeling and Prediction of Horizontal Urban Growth of Mashhad study region by Aggregating Cellular Automata, Fuzzy Theory, Neural Network and Logistic Regression

Journal of Geospatial Information Technology, 2018

In this paper, we try to present a simple and powerful model to forecast the urban growth of Mashhad city applying a developed Cellular Automata (CA) algorithm in Geo-spatial information System (GIS). In spite of different CA's advantages in urban growth modeling, this model faces several limitations such as inability to model the uncertainties of urban systems and working based on experimental calibration (trial and error) techniques. In the proposed method, to overcome the uncertainty problem and increase the model efficiency, the fuzzy transition rules are introduced in the modeling process. Moreover, the effective criteria are weighted using the logistic regression algorithm to remove the second restriction and then the calibration process will be applied. Therefore, the prediction process of urban growth were implemented using a suggested simple and powerful model by aggregating different methods in a logical framework. For this purpose, Landsat 8 and ETM+ satellite images (between 2002-2015) were entered into the modeling process and the horizontal urban growth of Mashhad study area were predicted for 2028. The final obtained results showed that the proposed method with the Kappa coefficient of 54.8 and the overall accuracy of 92% is more accurate than conventional CA techniques.