The existence of conversion industries to sort and grade hazelnuts with modern technology plays a vital role in export. Since most of the hazelnuts produced in Iran are exported to domestic and foreign markets without sorting and grading, it is necessary to have a well-functioning smart system to create added value, reduce waste, increase shelf life, and provide a better product delivery. In this study, a method is introduced to sort and grade hazelnuts by integrating audio signal processing and artificial neural network techniques. A system was designed and developed in which the produced sound, due to the collision of the hazelnut with a steel disk, was taken by the microphone placed under the steel disk and transferred to a PC via a sound card. Then, it was stored and processed by a program written in MATLAB software. A piezoelectric sensor and a circuit were used to eliminate additional ambient noise. The time-domain and wavelet domain features of the data were extracted using MATLAB software and were analyzed using Artificial Neural Network Toolbox. Seventy percent of the extracted data signals were used for training, 15% for validation, and the rest of the data was used to test the artificial neural network (Multilayer Perceptron network with Levenberg-Marquardt Learning algorithm). The model optimization and the number of neurons in the hidden layer were conducted based on mean square error (MSE) and prediction accuracy (PA). A total of 2400 hazelnuts were used to evaluate the system. The optimal neural network structure for sorting and grading hazelnuts was 4-21-3 (four neurons in input layers, 21 neurons in the hidden layer, and three outputs which are the desired classification). This neural network (NN) was used to classify hazelnut as big, small, hollow, or damaged. Results showed 96.1%, 89.3%, and 93.1% accuracy for big/small, hollow, or damaged hazelnuts were obtained, respectively.

Organizational culture is the subject that recently enter to knowledge of management and the realm of organizational behavior. The population of sociologists ,psychologists and even economists, pay special attention to this new and important topics in management and to identify the role and the importance of it it makes a lot of research and theory and make it in resolving issues and problems to management.The study for organizational culture and reviews of thier trends to the rational /intuitive approachesin six City (Kermanshah, Tabriz, Yazd, Zahedan, Sari ,Mashhad). this study is a type of descriptive-survey. The questionnaire was used to collect information in a letter is Hofstede standard questionnaire and the other questionnaire based on barco and Snyder theory. This questionnaire(questionnaire based on barco and Snyder theory),measure trend of organizations people that they have studied with one of the socialists trends. Reliability and Validity are based on the scientific and they are accepted with this method. Reliability are confirmed in Kerman shah,%882,in Tabriz is %893.yazd is %825.Sari is %731.zahedan is %732 and mashhad is %798. the results of this study indicate that the city of Tabriz on the collectivism and be Mannish has the highest rating. Kerman shah has the highest score on the properties of power distance and Yazd has the highest rating in the case of variable in the ambiguity. Tabriz also has the most rational approach Sari tend to have the lowest tendency.