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<ArticleSet>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Analysis of Waveguide Filters with Dielectric Resonators Using Multimode Contour Integral Method</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 1, June 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Analysis of Waveguide Filters with Dielectric Resonators Using Multimode Contour Integral Method</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i1.18</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>The contour integral (CI) method is developed to analyze H-plane waveguide circuits filled with inhomogeneous dielectric such as circuits including full height dielectric posts. In order to reduce the computational costs, the multimode CI method, which considers the effect of higher order TEn0 modes, is introduced and we present a hybrid method based on multimode CI and mode matching (MM) techniques. The accuracy of method is validated by comparison of results with those reported in literatures.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Multimode contour integral</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">H-plane discontinuity</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">GSM</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Mode matching</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Rectangular waveguide</Param>
			</Object>
					</ObjectList>
	</Article>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Separately Modeling of a Five-Phase Series Connected Two- Induction Motor with Completely Decoupled Operation</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 1, June 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Separately Modeling of a Five-Phase Series Connected Two- Induction Motor with Completely Decoupled Operation</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i1.49</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>It has been shown recently that in many industrial factories, for example rolling and looming, single controller and drive must control a number of multi-phase machines simultaneously. The major difficulty in utilizing this approach is using common single controller for two motors. The most recent solution for this problem is to serialize the stator windings in an appropriate manner. Replacing three-phase machines with multi-phase ones opens the way to implement this method. In addition, a number of multi-phase machines can be controlled independently, by a suitable drive switching. In this paper, a new modeling method is presented to models these two machines separately. Then, every machine has been simulated in any arbitrary reference frame. Finally, the two methods are compared and the simulation results evince the advantages of the suggested method. Furthermore, designing a controller in separate models alleviates the design burden in comparison to previous methods.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Series-Connected Motors</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Five-Phase Inverter</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Rotating reference frame</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Five-Phase Induction machine.</Param>
			</Object>
					</ObjectList>
	</Article>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>New Method for Blood Vessels Segmentation in Retinal Images</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 1, June 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>New Method for Blood Vessels Segmentation in Retinal Images</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i1.47</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            			<Author>
                				<FirstName>Hadi</FirstName>
				<LastName>Farzin</LastName>
				<Affiliation>Trent University</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Hamid</FirstName>
				<LastName>Abrishami Moghaddam</LastName>
				<Affiliation>Khaje Nasir Toosi University of Technology</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            			<Author>
                				<FirstName>Mohammad-Shahram</FirstName>
				<LastName>Moin</LastName>
				<Affiliation>Iran Telecommunication Research Center</Affiliation>
				<Identifier Source="ORCID"></Identifier>
			</Author>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>Retinal image analysis has many applications in various fields such as biometrics or medical diagnosis. Blood vessel segmentation is the first and important stage in these analyses. This paper presents an efficient method for automatic segmentation of blood vessels in retinal images. In the first stage, the proposed algorithm uses a template matching technique for reducing the effect of optical disk in the image. Then, it uses a new local processing operation based on the statistical properties of the image in order to enhance the vessel/background contrast. Next morphological operations are used for filling the vessel spaces caused by the previous stages. Finally, a binary image containing blood vessels is resulted by histogram thresholding of the contrast enhanced image. Evaluation of the results obtained by the new segmentation algorithm demonstrated its superior sensitivity and comparable accuracy with respect to the results of the previous works.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Gain Tuning</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Retinal images</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Retinal Identification</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Blood Vessels Segmentation</Param>
			</Object>
					</ObjectList>
	</Article>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>A Combinatorial Method Based on Function Block and Object-Orientation Concepts for Modeling Distributed Real-Time Control Systems</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 1, June 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>A Combinatorial Method Based on Function Block and Object-Orientation Concepts for Modeling Distributed Real-Time Control Systems</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i1.48</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>This paper presents a novel modeling method for distributed real-time control systems. The method uses function blocks model of IEC 61499 standard related to industrial control systems in combination with object-oriented approach for software production. The new modeling technique is named OO+FB. This method models distribution characteristics and real-time constraints accurately and provides a proper background for analysis and design of controllers. The new methodology, gives a complete framework for facing with modern industrial processes, using the good characteristics of both fundamental method. In this paper, different steps of OO+FB is described and advantages of using such a model is discussed, so a reliable approach is introduced for modeling.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Industrial Control</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Distributed Real-Time Systems</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Function Block</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Object-Orientation.</Param>
			</Object>
					</ObjectList>
	</Article>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Robust power system stabilizer design with H∞ theory</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 1, June 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Robust power system stabilizer design with H∞ theory</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i1.66</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>In this paper, the H∞ robust control technique is presented to design a power system stabilizer. First, the H∞ standard problem is expressed and then, the modeling and stability analysis of power systems are studied. Finally, a H∞ power system stabilizer is designed and the simulation results are discussed.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Uncertainty</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Robust Control</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Robust stability</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Power System Stabilizer</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Robust performance</Param>
			</Object>
					</ObjectList>
	</Article>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>SOI DEVICE SIMULATION OF AN AREA ‎EFFICIENT BODY CONTACT ‎</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 1, June 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>SOI DEVICE SIMULATION OF AN AREA ‎EFFICIENT BODY CONTACT ‎</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i1.52</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>We have used three-dimensional simulation to investigate application of a new body contact to SOI devices. Performance characteristics of the new body contact on high-voltage SOI devices were studied. Our comparative investigation showed increased current drive, improved cutoff frequency, reduced on-resistance while attaining satisfactory breakdown voltage. The new body contact is applicable to both high and low voltage SOI MOSFETs.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Breakdown voltage</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Three-Dimensional Simulation</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Floating Body Effects</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">On-resistance</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Cutoff Frequency</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Diffusion Model</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Isothermal Drift Isothermal Drift</Param>
			</Object>
					</ObjectList>
	</Article>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>A Method for Analog Implementation of Centroid Tracking Algorithm in a Video Signal</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 1, June 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>A Method for Analog Implementation of Centroid Tracking Algorithm in a Video Signal</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i1.50</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>The main goal of a video tracking algorithm is finding the location of a predefined target in successive video frames. Centroid pointing is one of the most efficient methods in the target tracking. This method can be simply implemented by a digital video processing system that includes a video memory and a powerful digital processor. Usually, the cost and the complexity of the digital video processor is high and in some applications, using analog video processor that includes only electronic devices like OPAMP, diodes, transistors, resistors and capacitors has lower cost, more efficient and more reliable. Implementing of the centroid in an analog video processor is not as simple as digital one, therefore in this paper, we introduce a novel formulation of the centroid that can be implemented in an analog video processor. We simulate the proposed method by MatLab simulink and compare the results with the area-based tracking that is usually used in analog video processors. The simulation results show that the proposed method is more reliable and accurate.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Tracking Algorithms</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Centroid Tracking</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Analog Video Processing</Param>
			</Object>
					</ObjectList>
	</Article>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Estimation of Network Delay in Control Systems and Reducing Network&#8217;s Effects by Using Data Sending Management</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 1, June 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Estimation of Network Delay in Control Systems and Reducing Network&#8217;s Effects by Using Data Sending Management</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i1.51</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>This paper opens with introducing the structure of the network control systems and then the impact of the network on the system equations is simultaneously modeled and the factors affecting the network control systems, due to the existence of the network in the system, are examined. Next, a instantaneous approximation based on Kalman filter design is obtained, by considering the delay as random variable and by an appropriate modeling of network control system dynamics. For doing this, the impact of the network on the main system is modeled in a way that can be used for Kalman filter. Then, the impact of the network on the system performance is approximated based on the model and the Kalman filter. At last by using data sending management network&#039;s effect on control system is reduced.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Network Control System</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Data Sending Managment</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Kalman Filter</Param>
			</Object>
					</ObjectList>
	</Article>
	</ArticleSet>
