نشریه دستاوردهای نوین در برق،کامپیوتر و فناوری
پیاپی 6 (بهار 1402)

General ledgers are ledgers, which are used in companies and organizations to store customers' financial transactions, personal details in the form of records. In terms of applied technology, general ledgers are divided into centralized and decentralized categories. Of course, in general, decentralized general ledgers are also referred to as distributed general ledgers, but in reality, they are different, each of which is described in detail below. Distributed head ledgers have unique applications in many areas; It is used in IoT technology to increase and improve security. In this paper, a review study of centralized and decentralized and distributed systems, types of general ledgers based on distributed systems (Blockchain, Tangel, Hash graph, Tempo) is discussed

Due to the ever-increasing amount of data, the amount of textual data is also growing at a high speed. Extracting information from these textual data is one of the necessities of today's information-based world. Text classification is one of the methods of obtaining information from this massive data. In this research, using a standard dataset of Persian news, which included five features in more than 86 thousand news, we investigated the performance of the logistic regression algorithm in the classification of Persian text and also compared it with other similar works. Considering the steps of creating a text category, we have explained the method used in the vectorization section and also stated the importance of the pre-processing section, especially the method used in tagging and converting sub-tags to main ones. In the final evaluation, by changing the algorithm's parameters and modifying the news tags, we reached the desired result of 95% in the accuracy criterion for the text classification of the Persian news dataset.

Most organizations use information technology to support and develop their organizational strategies and goals. This pervasive use of technology in organizations has led to their vital dependence on information technology, which represents the focus on the governance of information technology and its related issues. The governance of information technology is one of the appropriate solutions to create alignment and achieve Better alignment between business and information technology, which is achieved through structures for making strategic decisions in the field of information technology and monitoring procedures for these decisions, effective implementation of information technology governance requires a comprehensive framework, an appropriate governance framework that all Consider key management guidelines for IT governance. This framework can be COBIT, COBIT is actually a global open standard accepted by professionals around the world to control IT processes, a framework designed to control IT performance. and is used by government organizations and the private sector, because it helps to increase the sensitivity in IT processes, in this article, a simple approach to evaluate IT governance is discussed. The said approach has been developed and tested through the following steps: (1) highlighting the main needs of information technology governance according to the existing key methods (2) designing target approaches that integrate these needs and management principles use knowledge The current approach uses the STOPE (Strategy, Technology, Organization, People and Environment) perspective to combine and integrate existing assumptions, knowledge management principles as an added value, and 6 Sigma steps as a periodic improvement process.

The digitalization of today's world is closely intertwined with the development of artificial intelligence (AI). The importance of establishing standards for this technology has grown significantly due to the challenges associated with generative AI and the increasing popularity of GPT chat. Active international participation in standardizing AI facilitates the acceptance of different countries' perspectives. As highlighted by the G7 members, it is crucial for AI standards to align with their shared democratic values. This study aims to investigate international standards of AI by categorizing them based on domain, application, scope, topic, type of standard, development stage, and the international standardization organization. It is essential to consider the lack of synchronization between national standards and global trends, as well as the necessity of developing standards that meet the real sector of the economy's needs. These factors should be taken into account for the future development of AI standards.

Recognition of handwritten numbers is a complex issue in the field of image processing. Due to being in the digital age, speed and accuracy of intelligent systems have always been developing, which is why image processing has become particularly important. On the other hand, due to the importance of handwritten numbers recognitions and its various applications, in this study, an algorithm has been proposed to recognize Persian handwritten numbers. In this research, two methods of “framing and wavelet transform” have been used to extract the feature. The KNN classification method is also used. After testing different dimensions of the mold, the accuracy percentage of the framing method has been obtained above 87% By selecting the features of the third level of wavelet transform, 95% accuracy is obtained. Using the evolutionary bat algorithm, it has been tried to reduce the features and improve the system.

In recent years, the Internet has become an integral part of our human lives. With the increasing use of the Internet, the number of email users is increasing day by day. This increasing use of e-mail has created problems caused by unsolicited bulk e-mail messages, commonly referred to as spam. Email has now become one of the best ways to advertise, which is why spam emails are generated. Spam emails are emails that the recipient does not want to receive. Too many identical messages are sent to multiple email recipients. Spam is usually generated as a result of providing our email address on an unauthorized or illegal website. There are many effects of spam. It fills our inbox with tons of useless emails. It slows down our internet speed to a great extent. It steals useful information. Therefore, in this research, we propose a new method to identify spam emails written in Persian language. In this method, we have used a combination of machine learning and deep learning techniques to identify email spam. We used the proposed method using Kaggle online data set. The obtained results showed that the proposed method has a better performance in terms of evaluation criteria (accuracy, accuracy, recall and F-Measure) compared to the methods proposed by other researchers.