محمدحسن عبدی

During several decades of Imam Khamenei's leadership as Supreme Leader and Commander-in-Chief, one of his outstanding features has been the establishment of powerful armed forces to protect national and regional interests. And there is no doubt that this great success is the product of the intellectual foundations of the Most High, which is rooted in the Holy Quran. Therefore, by examining the Quranic principles of his management in the armed forces, it is possible to determine the difference between the principles of management and command based on the text of the Quran and religious teachings with the common management in the training of human resources. Based on this, the purpose of the present research is to investigate and analyze the "Qur'anic indicators of Imam Khamenei's management in the armed forces". The research method of the current study is applied in terms of purpose and descriptive-analytical in nature. The collection of information for the present research was in the form of a library and the study of documents. The findings of the research show that command and management based on the Quran, in today's complex era, according to indicators such as faith and righteous action, active deterrence, asymmetric combat, aristocracy in command, the active presence of clerics in the armed forces, and the value of martyrdom on the way God, relying on the spiritual power and the presence of the people, which are all manifestations of the order of the Holy Quran based on the faith and efficiency of managers and..

Organization, as one of the main pillars of management, plays a pivotal role, especially in complex entities such as armed forces. This study aims to identify and analyze the indicators of optimal organization in the armed forces based on the Quranic thoughts of Imam Khamenei. Using a descriptive-analytical method and drawing on Quranic verses, interpretations, and the statements of Imam Khamenei, the research explores and examines the topic. The findings indicate that optimal organization in the armed forces, according to the Quranic thoughts of Imam Khamenei, is based on indicators such as monotheism, spirituality, expertise, leadership, obedience, justice, consultation, responsibility, spiritual discipline, and empathy. Imam Khamenei emphasizes the importance of spirituality in the armed forces and the necessity of establishing an organization rooted in Islamic values and capable of defending the revolution and the system. Additionally, he strongly advocates for the integration of knowledge and spirituality, innovation, and revolutionary spirit in the organization of the armed forces. The Sacred Defense is also presented as a successful model of organization and management in the armed forces, serving as a suitable framework for realizing the mentioned indicators, which Imam Khamenei has frequently highlighted. The results demonstrate that achieving the indicators of optimal organization based on Quranic teachings, in addition to enhancing the efficiency and effectiveness of the armed forces, leads to the establishment of a robust, flexible organization grounded in Islamic values. The innovation of this research lies in integrating the Quranic thoughts of Imam Khamenei with modern organizational and man

Natural renewable energy sources are abundant and economically attractive, with zero or very low carbon emissions. On the other hand, harsh environmental and weather conditions, such as soil and dust accumulation, affect the efficiency of renewable energy sources and systems. Accordingly, the need for automated inspection of photovoltaic panels is becoming more critical as the demand for new solar energy system manufacturing and installation increases worldwide. This study introduces a new dataset of images of dusty and clean plates. Furthermore, a new convolutional neural network architecture is proposed to detect the voltage generated by the panel. In the following, the parameters taken from the environment and the voltage estimated by the proposed neural network are analyzed using the random forest regression algorithm, and the panel's efficiency is calculated. The proposed process deals explicitly with detecting dust accumulation in photovoltaic panels. The results obtained in this work have experimentally shown that the proposed system produces high detection rates. The proposed new method leads to the implementing of a more effective and efficient automatic cleaning technique for photovoltaic panels.