نشریه نوآوری های فناوری اطلاعات و ارتباطات کاربردی
پیاپی 4 (زمستان 1400)

In addition to software and hardware components, media assets include physical and infrastructure assets and assets. Therefore, in order to deal with threats against these assets and reduce vulnerability, it is necessary to develop strategies to protect these infrastructures with a passive defense approach, which has been proposed as the main goal in this study. The present study is descriptive-analytical and data collection through Internet, library and field methods and the main method of data analysis is SWOT method and also Cronbach's alpha coefficient and statistical tests have been used to measure the questionnaires. In this study, after reviewing upstream documents and obtaining expert opinions, 92 environmental factors affecting the protection of this infrastructure have been identified and evaluated in SPSS software. Then 21 strategies were developed based on the strategy formulation model of the Higher National Defense University. According to experts, one of the priority strategies can be planned to increase the deterrent capability in cyber threats, scientific, research and training development of the required manpower using the existing capacities in the country to increase relevant specialized knowledge, hedge, strengthen national media infrastructure against severe threats. Using local experts, increasing material and moral support of knowledge-based companies active in the field of development projects in the field of satellites related to national media, localization and application of artificial intelligence knowledge to establish a monitoring system and cyber attacks and help protect national media infrastructure in Against threats, purchasing and reverse engineering, he cited examples of advanced software systems in the field of national media.

Many companies disrupt the economic system by violating their financial statements, which has led to a major economic crisis. There are various diagnostic strategies that are mostly human. These solutions have high costs for calculating and reviewing the financial statements of all companies, so we must look for a solution that can use data mining and automation to perform this diagnostic process. Of course, data mining methods have also been proposed for this case, each of which has advantages and disadvantages. The data mining methods presented so far have high computational overhead or low accuracy. However, in the method proposed in this research, the improved ID3 decision tree with Bayesian network and support vector machine has been used as a combined method. In this proposed method, to improve performance and accuracy, the rough set algorithm and hierarchical analysis are used to select effective features. The tree created in the proposed method has the lowest possible depth and therefore has a high velocity. The computational overhead of the proposed method is low due to the use of an optimal algorithm. The data used in the evaluation of 3-year data from 60 companies. In evaluating the proposed method, it is shown that the proposed method has an accuracy of 80%, which is considered to be high accuracy compared to similar methods. The time overhead in the proposed method is O(m.n) and the memory overhead is O(n) where m represents the size of the training set and n represents the feature set used in the training

The need for a software or a system in general that can store important information (which a person feels may be needed in the future) on a daily basis and provide this information to the person at the necessary time, It seems necessary and essential. In this article, an attempt is made to help humans by providing a system so that by fully storing information over time, whenever they need information (which they are unable to recall due to mental preoccupations), they can recall a part of it,Get all the information you need in full. In the proposed system, information is initially stored in a knowledge graph, this knowledge graph has connections between nodes, which return the best and most complete answer to the user due to the existence of these connections and using key search methods to be. On a daily basis, the user stores his important information, which he hears or reads and thinks he may need in the future, in this system, and when necessary, just by reminding him. A part of the information gets access to the whole information. On a daily basis, the user stores his important information, which he hears or reads and thinks he may need in the future, in this system, and when necessary, just by reminding him. A part of the information gets access to the whole information.

One of the ways to deal with the effect of jammers, especially intra-band jammers, is to use beamforming (BF) in multi-antenna systems. In this method, based on the DOA of desired signal and DOA of interference, it is tried to design peak of beam pattern in the direction of the desired source and null of pattern in the direction of interferer. Since the depth of null and its location depend on the direction of interferer and in practice, it is not possible to obtain accurate information from electronic support measure (ESM) system, in this paper, a beamforming method which is robust to DOA estimation error has been proposed. Furthermore, nulling the interferer’s direction results in side lobes level increment. This can decreas communication systems performance. So, in adition to robust jammer nulling, the side lobe level of considered directions is controlled, too. In this paper, three BF weights optimization from three points of view are defined and solved analytically based on convex optimization framework. Simulation results show that proposed method is more efficient than previous and traditional methods. The proposed method keeps SINR in the order of SNR which can be obtained by DOA estimation error free methods.

The development of the telecommunication industry as a factor in the development of ICT can bring benefits such as earning currency through the export of services, creating employment, and increasing productivity. Governments introduce the telecommunication industry as an important industry in economic growth. Every country seeks to increase the average production of its workforce to increase production and economic growth. In other words, a workforce is an important tool for the progress and development of the country. Therefore, investing in ICT has a positive and significant effect on the productivity of labor and employment and economic growth. Since the issue of production in Iran is of particular importance, therefore, investment in information and communication technology has a positive and significant effect on labor productivity and employment, and economic growth. Therefore, focusing as much as possible on the development of information and communication technology in the more deprived and less developed provinces can have more useful results in the performance of macroeconomic variables, including increasing the per capita production of labor. Therefore, the main goal of this research is to investigate the impact of ICT on the per capita production of each worker in the provinces of Iran using the generalized dynamic moment (GMM) technique and also the modified ordinary least squares (FMOLS) method. from 2006 to 2019. The results of the research show that with a one percent increase in the number of mobile internet users, and mobile phone subscribers, the per capita production of workers in the short-term and long-term has increased by 0.27 and 0.12 percent, respectively, while with an increase of one percent of fixed internet subscribers decreases the per capita worker production in the short-term and long-term by 0.23 and 0.19 respectively in the provinces of Iran. Therefore, the policy result of the current research is that ICT in the field of data and voice with mobility capability increases the per capita production of each worker in the provinces of the country.

The network on chips was introduced as a solution to improve coherence between the network components. As one aspect of the network on chip design is mapping, so, in this paper, we have presented different concepts and parameters in the online mapping for different jobs in the network on chips. Thus, three essential steps are considered in the online mapping for different jobs in the network on chips which are finding the appropriate size of sub-mesh for input job, finding a sub-mesh place in integrating the mesh for online job allocation and finding the main place in sub-mesh. Also, previous efficient models to select the dimensions of the sub-mesh, MD, MPN and MT&MPN, previous processor allocation mechanisms, TRB and TCB, and the traditional processor migration methods based on two-column boundary, two-row boundary, limited left-right compaction, and limited top-down compaction for mesh topology are considered and compared against the proposed hybrid migrations. The mentioned algorithms are used to increase continuity and decrease latency in multiprocessor systems. Since the main goal in the development of the proposed methods is to achieve the maximum performance, so in this process, the impact of different performance parameters will be compared against the previous mechanisms. In this paper, 6 algorithms, which have achieved better performance, have been selected among the 45 ones. We have demonstrated that using hybrid migration strategies enable us to limit the number of processors migrations. Moreover, MT&MPN/TCB/HCM has revealed better results among these algorithms with the average job execution time %38.0248, average job response time %99.5387, and average system utilization %48.0239. Indeed, simulation results show that MPN/TRB/HBM has maximum results of the average power consumption %6.68, and the best results of the average job execution time %38.21.