Journal of Artificial Intelligence in Electrical Engineering
Volume:11 Issue: 41, Spring 2022

Thedevelopment of ICS 4.0 industry-specific cybersecurity mechanisms can reduce the vulnerability of systems to fire, explosion, human accidents, environmentaldamage, and financial loss. Honeypots are computer systems that are deployed expressly to trick attackers into thinking they are real computers. Given that vulnerabilities are the points of penetration into industrial systems, and using these weaknesses, threats are organized, and intrusion into industrial systems occurs. As a result, to learn about an attacker's behavior, tactics, strategies, and signatures, the EIDS is used to collect information on cyber-attacks, proving it to be a more helpful tool than earlier traditional ways. Attacks collected by honeypot software expose the attackers' source IP addresses as well as the target host that became a victim of the assaults. This paper proposes a novel Honeypot enhanced industrial Early Intrusion Detection System (EIDS) using Machine Learning (ML). The performance of EIDS is evaluated with ML, and the experimental results show that the proposed EIDS detects anomalous behavior of the data with a high detection rate, low false positives, and better classification accuracy.

In this paper, a method is presented for determining SF6 Circuit Breakers (CBs) failure rate due to Transient Recovery Voltage (TRV) at the instant of interrupting short-circuit current. For this purpose, first, discharging of electric charge due to arcing, which is the main cause of erosion in CB contacts, is calculated using transient state simulation of EMTP/ATP software. This arcing takes place due to interruption of short-circuit current by the CB. Since the location of short-circuit on the line is unknown, a statistical approach is presented for determining its location. Accordingly, the statistical distribution of short-circuit location is formed based on the data recorded at 110kV Tatev station. Based on this statistical distribution, the CB failure is detected using the arcing contact wipe index (Da). Finally, the CB failure rate is obtained based on the number of failures during 100 times of fault clearing. Compared to the previous works, simulation results show the accuracy of the proposed method and proper performance of the CBs used for supplying the 110kV Transmission Lines (TLs).

Human resource management is a comprehensive system that tries to integrate all the tasks and departments in an organization using a single computer system that can meet the special needs of these departments. They help programmers to complete their web application quickly and with minimal involvement. With the increasing development of web applications and the use of unique features of HTML 5, many possibilities are available to web programmers. In this paper, four advanced and applied frameworks are introduced and compared with the best frameworks of the previous research. Then we proposed Multi-criteria decision-making based approach for selecting optimum framework in enterprise resource planning. To demonstrate the applicability of the proposed approach, it is tested on different category of originations. Results show that our proposed approach is more applicable in different companies

Although the research on the use of special applications for learning mathematics has increased in the last decade, the number of researches on the effectiveness of these programs from the students' point of view is insufficient. This paper traces an endeavor to explore the way utilizing FaraAzmoon App and the highlights and qualities understudies find essential. Drawing on data gotten from tests and interviews, it was observed that understudies who utilized FaraAzmoon app had a inside and out predominant execution compared to the understudies who did not utilize FaraAzmoon app. Participants' responses to questions were analyzed to select characteristics that students consider essential for mathematics learning programs. This research highlighted several characteristics that are necessary for an effective mathematics learning program. The disclosure of these features provides information to curriculum developers and educators about what is dominant in math learning programs from the users' perspective.

Architecture-based techniques for assessing the reliability of critical software systems have attracted a lot of attention in recent years. In order to prevent the failure of software systems in the final phases of development in critical software systems, we must apply the software reliability evaluation process to all stages of software development. Reliability evaluation of component-based critical software systems is very important in the early stages of software system development and from its architecture as one of the quality attributes of software systems. This article proposes a method to evaluate the reliability of critical software systems by considering the self-healing effect of bottleneck components. A self-healing component can automatically repair itself and return to a normal state when a failure occurs. Since the design of a self-healing component is a very complicated and costly task, it is not possible to create self-healing for all components. Therefore, identifying bottleneck components in order to self-repair them in the early stages of software development can have a great impact on reliability. Nowadays, several methods have been proposed based on design models to evaluate the reliability of software systems, but no report has been provided on the effect of self-repair on reliability and also finding components that have a great impact on software reliability in the early stages of software development. In this article, first, a method for modeling self-healing using the Markov chain will be proposed, and then four different methods (without -Taylor series - without self-healing, without Taylor series - with self-healing, with -Taylor series - without self-healing and with Taylor series - with self-healing) will be presented to evaluate the reliability of a software system based on its architecture. The relations proposed will enable a software engineer to identify the influential and bottleneck components for self-healing.

In this article, the adjustability of the multi-channel optical filter including magnetized materials and uniaxial anisotropic metamaterials in the three-dimensional one-dimensional photonic crystal structure in the GHz frequency range has been theoretically analyzed and designed. It is shown that resonant peaks in the transmission spectrum can be created in the presented structure without adding a defect layer, in the absence and presence of an external magnetic field. Therefore, the presented ternary periodic structure can act as an adjustable multi-channel filter using the transmission spectrum of the photonic crystal. Also, the characteristics of the transmission spectrum of the assumed structure can be manipulated by applying an external magnetic field, so that the frequency of the channels can be red-shifted or blue-shifted depending on the direction of the applied magnetic field. In addition, the effect of the number of periods of the structure, the optical axis angle of anisotropic metamaterials (φ) and the incident light radiation angle (θ) on the filtering characteristics of the channels in both TE and TM polarizations have been numerically investigated