2026-06-11T01:03:30+03:30 http://ijeee.iust.ac.ir/browse.php?mag_id=7&slc_lang=en&sid=1

7-17 2026-06-11 10.1002

Iranian Journal of Electrical and Electronic Engineering IJEEE 1735-2827 1735-2827 2006 2 3 Sh. Mohammad-Nejad M. Pourmahyabadi A. Lajevardizadeh In this paper, the performance of a Ring Laser Gyro based inertial navigation is investigated. Dynamic and stochastic modeling are applied to gyro simulation and performance evaluation. In the dynamic model, some parameters such as scale factor and environmental sensitivity have been determined, whereas in the stochastic model, the other parameters such as random drift and measurement noise have been computed. The performance of the system is evaluated for several inputs. Also, the parameter variation of output noise as a result of changing the dither characteristics is analyzed. Drift Error Model Equation Ring Laser Gyro Scale Factor Error 2006 7 01 82 90 http://ijeee.iust.ac.ir/article-1-17-en.pdf

7-18 2026-06-11 10.1002

Iranian Journal of Electrical and Electronic Engineering IJEEE 1735-2827 1735-2827 2006 2 3 A. Fereidunian H. Lesani C. Lucas M. Lehtonen M. M. Nordman Almost all of electric utility companies are planning to improve their management automation system, in order to meet the changing requirements of new liberalized energy market and to benefit from the innovations in information and communication technology (ICT or IT). Architectural design of the utility management automation (UMA) systems for their IT-enabling requires proper selection of IT choices for UMA system, which leads to multi-criteria decision-makings (MCDM). In response to this need, this paper presents a model-based architectural design-decision methodology. The system design problem is formulated first then, the proposed design method is introduced, and implemented to one of the UMA functions–feeder reconfiguration function (FRF)– for a test distribution system. The results of the implementation are depicted, and comparatively discussed. The paper is concluded by going beyond the results and fair generalization of the discussed results finally, the future under-study or under-review works are declared. Architectural Design Distribution Automation (DA) Energy Restoration Feeder Reconfiguration Function (FRF) IT Infrastructure Multi-Criteria Decision-Making (MCDM) Power Distribution Systems Utility Management Automation (UMA) Wymorian Scoring Function 2006 7 01 91 104 http://ijeee.iust.ac.ir/article-1-18-en.pdf

7-19 2026-06-11 10.1002

Iranian Journal of Electrical and Electronic Engineering IJEEE 1735-2827 1735-2827 2006 2 3 M. Abadi S. Jalili Intruders often combine exploits against multiple vulnerabilities in order to break into the system. Each attack scenario is a sequence of exploits launched by an intruder that leads to an undesirable state such as access to a database, service disruption, etc. The collection of possible attack scenarios in a computer network can be represented by a directed graph, called network attack graph (NAG). The aim of minimization analysis of network attack graphs is to find a minimum critical set of exploits that completely disconnect the initial nodes and the goal nodes of the graph. In this paper, we present an ant colony optimization algorithm, called AntNAG, for minimization analysis of large-scale network attack graphs. Each ant constructs a critical set of exploits. A local search heuristic has been used to improve the overall performance of the algorithm. The aim is to find a minimum critical set of exploits that must be prevented to guarantee no attack scenario is possible. We compare the performance of the AntNAG with a greedy algorithm for minimization analysis of several large-scale network attack graphs. The results of the experiments show that the AntNAG can be successfully used for minimization analysis of large-scale network attack graphs. Ant Colony Optimization Metaheuristic Network Attack Graph Network Vulnerability Analysis 2006 7 01 106 120 http://ijeee.iust.ac.ir/article-1-19-en.pdf

7-20 2026-06-11 10.1002

Iranian Journal of Electrical and Electronic Engineering IJEEE 1735-2827 1735-2827 2006 2 3 Z. Nasiri-Gheidari H. Lesani F. Tootoonchian Hunting is a flutter associated with the synchronous speed that gives rise to the gyro drifting errors and may cause objectionable time-displacement errors in video head wheel drives and other precision scanning systems. In this paper, dynamic characteristics of permanent Magnet hysteresis motors are presented and hunting is explained. New damping techniques have been developed using optimized eigenvalues calculation. They are calculated from LQR optimization method. In this damping method, a distinct reduction in hunting has been archived. Furthermore field oriented control result of motor is presented that have good effect on Hunting. Nearest agreement between simulated and measurement results shows the accuracy of motor model. Comparison between this paper results and other measured damping methods result are shown its success. Damping Method Dynamic Model Field Oriented Control Hunting Optimal Control Permanent Magnet Hysteresis Motor 2006 7 01 121 130 http://ijeee.iust.ac.ir/article-1-20-en.pdf

7-21 2026-06-11 10.1002

Iranian Journal of Electrical and Electronic Engineering IJEEE 1735-2827 1735-2827 2006 2 3 H. Shateri S. Jamali This paper presents the effects of instrument transformers connection points on the measured impedance by distance relays in the presence of Flexible Alternating Current Transmission System (FACTS) devices with series connected branch. Distance relay tripping characteristic itself depends on the power system structural conditions, pre-fault operational conditions, and especially the ground fault resistance. The structural and controlling parameters of FACTS devices as well as the connection points of instrument transformers affect the ideal tripping characteristic of distance relay. This paper presents a general set of equations to evaluate the measured impedance at the relaying point for a general model of FACTS devices to consider different affecting parameters. Distance Protection Fault Resistance FACTS Devices Tripping Characteristic 2006 7 01 131 141 http://ijeee.iust.ac.ir/article-1-21-en.pdf