نشریه آرمان پردازش
سال سوم شماره 2 (تابستان 1401)

Nowadays, with the increasing use of information systems and the movement of organizations towards knowledge-based information systems, the effective management of data and information is one of the important concerns and fundamental operational areas of information and communication technology. In different fields of application, database management can be done with different techniques and approaches. Fuzzy logic as an effective technique is able to create an effective infrastructure and approach for the systematic management of distributed database systems. One of these fields is related to the application of fuzzy systems theory in databases, information retrieval,  expert systems and knowledge base. The most important issue that arises in fuzzy databases is how to deal with the phenomenon of uncertainty. In fuzzy logic applications, non-numeric values are often used to facilitate the expression of rules and facts of databases. In this article, the effective management framework of the fuzzy database is examined.

Today, most technology-oriented applications are dependent on large and complex software systems. Software architecture provides a systematic framework for managing software complexities and dependencies. Software architecture contains key decisions about the structure of a target software system, which includes the selection of software components, modules and the relationships between these components. Moreover, the software architecture specifies the behavior of these components as the interaction they perform together to build a monolithic software system. Nowadays, one of the issues of concern to software developers is the correct and principled implementation of software architecture and accordingly, the accurate evaluation of architectural dimensions. Also, one of the main roles and functions of information technology units in different organizations is to provide assurance in terms of technical structure and software architecture. The requirement for the basic implementation of software architecture is a clear understanding of the goals and requirements of the architecture. Therefore, in order to make sure, architectural requirements should be fundamentally assessed and evaluated. Due to the importance of this issue, in this article we discuss the feasibility checking and assessment of software architecture requirements.

The internet of things, or IoT, is a system of interrelated computing devices, mechanical and digital machines, objects, or people that are provided with unique identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. Internet of Things security is a subset of cybersecurity that focuses on protecting, monitoring and remediating threats related to the Internet of Things, or the network of connected devices that collect, store, and share data over the Internet. IoT security challenges can be very controversial because many IoT devices are not built with strong security. Security risk in IoT is critical because the sensitivity of the data IoT devices collect and store, as well as the systems they manage, is much greater than traditional personal network security strategies. In this article, we discuss the functions of the security aspects of the Internet of Things.

Today, the adoption of new technologies helps governments to provide digital and electronic government services to citizens as efficiently as possible. Electronic government is a characteristic of digital and technology-oriented government services that has emerged with the growth of the role of information technology and new characteristics in information and knowledge-based societies and tries to show the dynamic role of governance in such societies. Electronic government is a huge and important step to advance international communication and as one of the subsets of information technology, it has enabled governments to provide information and services efficiently in the minimum time and at the lowest cost using modern technologies. . It also grants people the necessary facilities for proper access to government information and services, improving the quality of services and providing wider opportunities with lower cost and higher effectiveness to participate in democratic processes and institutions. Considering the importance of e-government services as a driver in creating social and cultural changes, in this article we intend to examine the achievements and opportunities created by the use of e-government services along with the challenges and issues facing the establishment of e-government in societies.

Recently, the growth of technology-oriented mechanisms has led to the rapid acceleration of progress and increased need for image processing tools and related mechanisms. Therefore, the demand of experts to learn and develop these technologies is increasing at a fast pace and it shows the need of different fields for this technology. Image processing has always been considered as an important achievement in the field of artificial intelligence because image processing has been able to provide us with many services and data. In this article, an attempt has been made to examine the important applications of image processing. Also, due to the importance of the subject, this article examines the achievements and challenges of image processing. The application of image processing in each of the fields discussed in the article is very wide. The importance of image processing has multiplied in recent years and is predicted to become more important in the next years. It is predicted that image processing will change the relationship between humans and computers in a surprising way.

In today's technology-oriented world, we are always faced with the processing of a huge amount of data as a major challenge in various fields of application. Therefore, we need knowledge discovery tools for such massive processing. Data mining is used as an advanced capability in data analysis and knowledge discovery. Data mining is the process of discovering patterns and regular and hidden trends in large and distributed data, using a wide set of algorithms based on mathematical and statistical sciences. In general, data mining can be considered the result of the natural evolution of information technology, which originated from the evolution of the database industry. The main reason for the emergence of data mining science has been the availability of a large amount of data and the strong need to extract useful knowledge and information from these data. Due to the importance of this issue, in this article we reviewed the important aspects of the data mining problem including goals, applications, models and related tools.