فهرست مطالب

Journal of Artificial Intelligence in Electrical Engineering
Volume:6 Issue: 21, Spring 2017

  • تاریخ انتشار: 1396/04/12
  • تعداد عناوین: 6
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  • Mohammad Esmaeil Akbari* Pages 1-7
    This paper presents a novel teleoperation controller for a nonlinear master–slave robotic system with constant time delay in communication channel. The proposed controller enables the teleoperation system to compensate human and environmental disturbances, while achieving master and slave position coordination in both free motion and contact situation. The current work basically extends the passivity based architecture upon the earlier work of Lee and Spong (2006) [14] to improve position tracking and consequently transparency in the face of disturbances and environmental contacts. The proposed controller employs a PID controller in each side to overcome some limitations of a PD controller and guarantee an improved with genetic algorithm is investigated. We wanted to build on the controller can be designed as desired, and the optimal coefficients are obtained.
    Keywords: Teleopration systems, master slave robot, Time delay, Genetic Algorithm, PID controller
  • Amin Hadidi, Hamed Babaei * Pages 9-25
    UCTTP is a NP-hard problem, which must be performed for each semester frequently. The major technique in the presented approach would be analyzing data to resolve uncertainties of lecturers’ preferences and constraints within a department in order to obtain a ranking for each lecturer based on their requirements within a department where it is attempted to increase their satisfaction and develop lecturers timetabling by using clustering algorithms. The first goal of this paper is to improve satisfaction of lecturers and then optimize the ranking of lecturers based on soft constraints weights over their preferences. The proposed method applies a two-step algorithm. At the first step, the department performs timetabling process using fuzzy decision making approach to prioritize and rank lecturers by local search algorithm with seven neighbor structures and genetic algorithm to improve lecturers’ ranks as well as thoroughly satisfying hard constraints over the department in a local manner. In the second step, two clustering and traversing agents are used, where the former clusters lecturers of the department and the latter finds the extra resources. Following the clustering and traversing, in order to reach the major goals of the paper, mapping action is performed based on lecturers’ constraints in resources. In this method, the list of each lecturer’s selective preferences is resolved, prioritized and ranked by applying fuzzy decision making method based on fuzzy comparison of daily and weekly timeslots of per lecturer and then the timetable including department lecturers with their fitness functions is given to the hybrid algorithm in order to improve the quality of fitness function of lecturers within each timetable so that the clustering and mapping is performed based on a desired logic of each lecturer’s fitness function.
    Keywords: clustering algorithms, fuzzy multi criteria decision making approach, hybrid approach, university courses timetabling
  • Hamsa Kamali, Asghar Charmin Pages 27-33
    investigating pressure applied in surface vertically that is done by use of mechanical procedures isn’t efficient to measure pressure applied in inner surface of reservoir or pipes having gas due to entering pressure into whole walls and different surfaces. So, in order to measure this kind of pressure, several studies were conducted in past decades and also various procedures were proposed that some of them had a mistake, benefits and faults.
    At this paper, we designed and simulated structure titled as Piezo-resistor manometer by following proposed problem and employing Piezo's structures, then we investigated the effects of movement of this structure's probe to improve and linearize its output.
    The results showed that, in addition to physical parameters like screen dimensions of manometer, county leaver length, apparent shape, probe dimensions and quality of each probe, load resistance has main effect on linearization of probe performance considering output voltage too.
    Keywords: AFM, Barometer, Piezo resistor, Prob
  • Yashar Zehforoosh, Zeynab Zohrabi * Pages 35-42
    A novel printed octagonal fractal microstrip antenna with semi-elliptical ground plane is presented for ultra wide band applications. The proposed antenna has a compact size of 20×20×1 mm³. The measured result of the antenna exhibits the ultra wide band characteristics from 2/9 to 14/2 GHz. In this paper, reducing antenna’s size by 35%, the same results were achieved, while small dimension fractal microstrip antenna is presented. The antenna’s size is 15×12×1 mm³ which has a small and appropriate size for nowadays telecommunication systems and utilization. The design and simulation results of microstrip patch fractal antennas using Ansoft HFSS is presented and discussed.
    Keywords: Fractal, Microstrip Antenna, Ultra-Wideband (UWB)
  • Mohammad Ghiamy, Aram Khoshtinat * Pages 43-47
    In the present paper a novel structure for optical channel drop filter (CDF) based on photonic crystal ring resonator with circular core has been proposed. In order to design the proposed CDF, the plan wave expansion (PWE) method is applied for calculation of band structure and photonic band gap while the transmission characteristics of proposed CDF have been calculated using the finite difference time domain (FDTD) method. The transmission efficiency of 100%, quality factor of 2583 and bandwidth of 0.6 are achieved at wavelength near to 1550 nm which proved this filter is usable and suitable for optical communication applications.
    Keywords: photonic crystal, Ring resonator, Channel drop filter, FDTD method
  • Shahab Mohammadi*, Reza Farshbaf Zinati, Mohammadreza Razfar* Pages 49-54
    Nowadays, polymer-based Nano-composites are of special importance in industry considering their mechanical properties including high strength to weight ratio. On another hand, since Nano-composites produced by methods such as extrusion are at simple cross sections, it is necessary to machine them in order to reach geometrically complex figures. Surface roughness is a parameter affecting mechanical specifications of the machined part. Thus, it is necessary to study surface roughness of the machined parts to reach optimized cutting parameters and optimized surface roughness. The present paper tries to experimentally test milling of Nylon 6/ CaCo3 Nano-composites and measure surface roughness of the milled surfaces using the obtained data. The obtained data were used to model surface roughness to obtain an appropriate model for its milling. Finally, the obtained model was optimized using harmony search algorithm to reach optimized surface roughness and cutting parameters.
    Keywords: Nano-composites, harmony search algorithm, surface roughness