Face recognition from digital images is used for surveillance and authentication in cities, organizations, and personal devices. Internet of Things (IoT)-powered face recognition systems use multiple sensors and one or more servers to process data. All sensor data from initial methods was sent to the central server for processing, raising concerns about sensitive data disclosure. The main concern was that all data from all sectors that could contain confidential information was placed in a central server. Federated learning can solve this problem by using several local model training servers for each region and a central aggregation server to form a global model in IoT networks. This article presents a novel approach to optimize data transfer and convergence time in federated learning for a face recognition task using Non-dominated Sorting Genetic Algorithm II (NSGA II). The aim of the study is to balance the trade-off between training time and model accuracy in a federated learning environment. The results demonstrate the effectiveness of the proposed approach in reducing data transfer and convergence time, leading to improved performance in face recognition accuracy. This research provides insights for researchers and practitioners to enhance the efficiency of federated learning in real-world applications.

The Qur'an contains religious values ​​for the advancement of man to happiness. The claim is that Quranic teachings are the basis of religious values; By choosing it better, the method of proving religious beliefs can be extracted. This research tries to extract the method of proving religious beliefs with a business approach and by using artistic forms with a descriptive and analytical method and with a better selection of Quranic teachings. Based on the verses, the process was defined as the introduction to the institutionalization of religious values ​​in the businessman 1- Gaining self-knowledge (knowing the talents, capacities, existential dimensions and position of man in the universe); 2- Gaining monotheistic insight (knowing the origin and your relationship with the Creator); 3- Reciprocity is (knowing the destination and drawing the path of happiness in the universe). After the realization of these three stages, the beliefs must be proven through rational and scientific reasoning and penetrate, in this case, the acceptance of good qualities in the businessman will be facilitated.

In finance field, two ways are the most important to analysis, fundamental and technical analysis. Different experience showed that, using one of them, independently, cannot bring in return more than they are used together. So, it seems are needed more researches in this section of finance field. In technical analysis by using information such as prices and traded volume, indicators are calculated and base on roles that introduce with them, decision are made. It probably the normal roles of indicators are not profitable more than before and are not able to bring extreme return to investors that use them. In stock market without enough efficiency, using technical analysis caused returns more than using fundamental analysis, independently. In this paper will tested to optimize indicators’ normal roles and is tried to produce efficient tools to bring return more. So that are used 50 companies that are much traded in years between 21 of march 2008 to 20 of march 2012 and Optimizing are done first by using trying all of area and in second step by using enetic algorithm and finally compare to result from normal roles of indicators and buy and hold.