Maryam Sadeghi

Developing Adaptive Neuro-Fuzzy Inference System for Controlling the Intelligent Universal Transformers in ADA

This approach is carry out for developing the Adaptive Neuro-Fuzzy Inference System (ANFIS) for controlling the forthcoming Intelligent Universal Transformer (IUT) in regard of voltages and current control in both input and output stages which is optimized by particle swarm optimization. Current or voltages errors and their time derivative have been considered as the inputs of Nero Fuzzy controller for elaborating the firing angles of converters in IUT basic construction. ANFIS constructed from a fuzzy inference system (FIS) in which the membership function parameters are tuned according to the back propagation algorithm or in conjunction to the least squares method. A neural network maps inputs through input membership functions and associated parameters, and output membership functions and associated parameters to outputs which interprets the input-output map. The associated parameters of membership functions change through the learning algorithm by a gradient vector modeling the input output data in case of given parameters. Optimization method will be investigated to adjust the parameters according to error reduction computed by sum of the squared variation from actual outputs to the desired ones. Advanced Distribution Automation (ADA) is the state of art introducing for tomorrows distribution automation with the new invention in management and control. ADA is equipping by the Intelligent Equipment Devices (IED) in which IUT is a key point introducing as an intelligent transformer subjecting for tomorrows distribution automation in the near future. The proposed ANFIS is a control scheme develop for controlling the IUT by bringing the major advantages like harmonic Filtering, voltage regulation, automatic sag correction, energy storage, 48V DC option, three phase outputs in term of one phase input, reliable divers power as 240V 400HZ for communication utilization and two other 240V 60 HZ outputs, dynamic system monitoring and robustness in major disturbances occurred in terms of input and load variation.

Intelligent Universal Transformers Online Adaptive Control via Artificial Neural Network

Adaptive control is a novel methodology introducing for dynamic identification and control of nonlinear system in case of unknown parameters and absence of precise mathematical model. The Artificial Neural Networks (ANNs) suggest the parallel algorithm in resolving paradigms and result on a robust control fashion in which learning algorithm resembling to the biological brain. Back propagation algorithm is proposed for updating the ANN weighting factors through the on line learning procedure. This research is carry out to investigate the ANN trained algorithm to elaborate the switching angle signals for controlling the Intelligent Universal transformer (IUT) in input and output stages. IUT motive the Advanced Distribution Automation (ADA) with the new invention in automation, management and control. ANN online adaptive scheme is developed for controlling the input current and output voltages of IUT with the major benefits and service option advantages, comprising from a voltage regulation in real time operation, capability on providing three phase power outputs in case of one phase input, energy storage capability,48V DC output option, harmonic Filtering, reliable divers power 240V AC 400HZ for communication usage together with two 240 V AC 60 HZ outputs, automatic sag correction, dynamic system monitoring and system robustness in term of input and load disturbances.

A comparative study of various methods for detection of IL28B rs12979860 in chronic hepatitis C

Abstract Interleukin-28B (IL28B) single-nucleotide polymorphisms (SNPs) constitute important host-related factors influencing the response rate to Hepatitis C virus (HCV) standard antiviral therapy. In the last few years, several new technologies for SNP detection have been developed. However, the sensitivity and specificity of various methods are different and needs evaluation. Five different methods (resolution melting curve [RMC], polymerase chain reaction-restriction fragment length polymorphism [PCR-RFLP], PCR-sequencing analysis, amplification refractory mutation system [ARMS], and zip nucleic acid probe-based real-time PCR [ZNA]) were developed for genotyping rs12979860 associated with IL28B. In this study, limit of detection (LD), costs and turnaround time of these methods were compared in 350 subjects. As for IL28B rs12979860 polymorphisms, 348/350 (99.4%) samples were consistent among the five methods, while results for 2/350 (0.57%) samples were concordant by ZNAs and PCR-sequencing, and discordant by other methods. Without considering the cost of DNA extraction, the price of each reaction for ARMS-PCR, RMC, PCR-RFLP, ZNA and PCR-sequencing were respectively: US

Evaluation of antioxidant activity of homo and copolymer of aniline and p-phenylenediamine electrosynthesized in the presence of calcium chloride

3.10, US

IEC 61499 in Distributed Control of Weather Short-Term Load Forecasting Using Fuzzy Logic Algorithm

5.0, US

Robust Adaptive Fuzzy Logic Controllers for Intelligent Universal Transformers in ADA

5.50, US

Data Bank Design of Current Pests of Wheat and Barely Based on Iranian Environment

8.50 and US

Zr(HSO4)4 and Mg(HSO4)2 as mild and efficient catalysts for the one-pot multicomponent synthesis of β-acetamido carbonyl compounds

17.0. RMC was the fastest method, while the ZNA method was easy to use, reliable and effective. Lower LD was determined to be 50–60 copies/μL for the PCR-RFLP, RMC and ARMS-PCR assays; whilst ZNA assay was able to detect 2–3 copies/μL. In conclusion, in the current study, all four methods are suitable for IL28B rs12979860 genotyping, but the ZNA assay can be a reliable tool. Due to its lower LD for SNP identification, this method is better than others for detecting this type of polymorphism.

Fuzzy Logic Approach in Controlling the Grid Interactive Inverters of Wind Turbines

Abstract Homo and copolymer of aniline (Ani) and p-phenylenediamine (pPDA) are electrodeposited on the composite graphite (CG) in phosphoric acid (H3PO4) solution which contains calcium chloride (CaCl2) as the supporting electrolyte and different ratios of two monomers. The antioxidant activity is evaluated through the reaction of copolymers with 1, 1-diphenyl-2-picrylhydrazyl (DPPH) radical in methanol. The FTIR and UV–visible spectra indicate that the increase of the molar ratio of pPDA in polymer chain has also increased the antioxidant activity of the copolymers. The electrochemical impedance spectroscopy (EIS) is used for further investigation. It was revealed that the increase of the molar ratio of pPDA in polymeric chain decreased the charge transfer resistance (Rct) in the electrochemical content and improved the free radical scavenging activity of copolymers.

Time synchronizing signal by GPS satellites

Distributed Control System (DCS) equipping the new design methodology comprises an open architecture for intelligent and agile control of distributed control systems by developing a novel international standard “IEC 61499” evolving the event driven functional modules distributed to field devices and interconnected among multiple controllers. It is investigated for predicting the short term power demand using weather and ambient conditions such as temperature, humidity, season, wind and precipitation. Forecasting algorithm simulated via Function Block Development Kit (FBDK) using Fuzzy Logic Controller (FLC). FLC is an advanced method for prediction and control of nonlinear system which is based on fuzzy logic concept comprising an algorithms formulated by linguistically expert rules. Precise mathematical model free system, robustness and flexibility in the event of parameter variations are the most advantages of FLC. In this approach three distributed weather stations are defined for estimating the power demand in a small area using IEC 61499 DCS standard and FLC as a prediction logic. IEC 61499 intensifies flexibility by capability in adaption and system reconfiguration in regard of environment changes, results on cost reduction and diminutions the industrial automation complexity. It increasingly enlarges the adaptability of proposed control system, enhances the system portability, interoperability and develops configurability. IEC 61499 facilitates world trade by swooping technical barriers to trade, eventuates the neoteric markets and economic growth and leads to a strong trend towards distributed automation systems.