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Sadin, Rasool; Chegini, Gholamreza; Khodadadi, Mehdi. |
In this study tomato slices were dried with three thicknesses (3, 5 and 7 mm), three temperatures (60°C, 70°Cand 80°C) and air speed of 1.1 ms-1 in a combined infrared-hot air dryer. Distance from infrared source was 70 cm, while, input air temperature was 60°C. The experiment was conducted as factorial based on a completely randomized design. Results showed that energy consumption reduced along with the increase in temperature and slice thickness. Decrease in the slice thickness from 7 to 3 mm resulted in a significant decrease in drying time. Maximum diffusion coefficient was related to the thickness of 7 mm and the temperature of 80°C, while, the minimum value was related to the thickness of 3 mm and the temperature of 60°C. Effective diffusion... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Drying time of tomato; Diffusion coefficient; Effective diffusion coefficient; Activation energy; Tomato thin-layer drying; Infrared-hot air dryer. |
Ano: 2017 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3780 |
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Mirnezami, Seyed Vahid; Chegini, Gholamreza. |
Residual straw status on the field after harvesting was one of the important obstacles in using stripper header in Iran. In this work, combine performance studied with two type headers, conventional and stripper in wheat farm. Residual stems after harvesting collected, baled, and two methods were compared. The results showed that fuel consumption in the stripper header was 5.68 L/ha less than the conventional header. Combines with stripper header harvested 1500 m2 more than the conventional header in each hour. Stripper header in comparison with the conventional had 21% harvesting efficiency and 840 kg/h field performance which harvested more wheat. Harvesting time and fuel consumption for straw harvesting operation in the harvested field with stripper... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Straw; Stripper header; Combine performance. |
Ano: 2016 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3206 |
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Soleimani Pour, Alireza; Chegini, Gholamreza; Massah, Jafar. |
Two main steps in object recognition systems involve feature representation and classification. In this study, the combination of principal components analysis (PCA), linear discriminant analysis (LDA) and support vector machine (SVM) approaches were used to develop a cultivar classification system for Anthurium flower, which PCA, LDA, and SVM were applied for data reduction, feature extraction, and classification, respectively. The system was tested on a database of Anthurium flower images, which included the images of 20 cultivars of the flower with different sizes, angles of rotation placed under the imaging camera, and lighting conditions. Results were evaluated from the two point of view of classification accuracy and processing time, and the approach... |
Tipo: Info:eu-repo/semantics/article |
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Ano: 2018 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/4491 |
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