Priorities for Energy Standards in Iran: A Multi-Criteria Decision Aid (MCDA) Technique

Priorities for Energy Standards in Iran: A Multi-Criteria Decision Aid (MCDA) Technique

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Part of #Priorities for Energy Standards in Iran: A Multi-Criteria Decision Aid (MCDA) Technique# :

Publishing year : 2005

Conference : Fifth National Energy Conference

Number of pages : 5

Abstract: Energy is considered a key player in the generation of wealth and also a significant component in economic development. To ensure energy to meet needs for economic growth and sustainable development, more emphasis should be put on energy efficiency both end-use and supply. An effective energy policy in any country should encourage different enterprises, utilities, and individuals to employ energy-efficient processes, technologies and materials. Energy is produced and consumed with low levels of efficiency in Iran. One of the most important reasons is the absence of mandated energy performance codes and standards. Thus, standardization and labeling are policy towards
energy efficiency. This paper presents an analytical hierarchy process (AHP) based modeling framework for the prioritization of energy standard research projects in Iran. Nine energy sub-sectors are used with hierarchical tree structures. The rank of consumption of the sub-sector was the first in the order of priority (26%). The research provides a comprehensive framework for the prioritization in a scientific and systematic manner. The use of multi-criteria decision support (MCDA) techniques has a long history in energy projects. One of the major advantages of using the AHP approach is that it breaks a large problem into smaller ones, which enables decision makers (DM) to have a better concentration and make a sound decision. The presented methodology of the research might be beneficial to DMs in other countries.

A New Energy-Efficient Adaptive Clustering Protocol Based on Genetic Algorithm&K-means for Improving the Lifetime in Wireless Sensor Networks

A New Energy-Efficient Adaptive Clustering Protocol Based on Genetic Algorithm&K-means for Improving the Lifetime in Wireless Sensor Networks

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Part of #A New Energy-Efficient Adaptive Clustering Protocol Based on Genetic Algorithm&K-means for Improving the Lifetime in Wireless Sensor Networks# :

Publishing year : 2015

Conference : Seventh National Conference on Electrical and Electronic Engineering of Iran

Number of pages : 8

Abstract: Wireless Sensor Networks (WSNs) consist of a large number of sensors, which sensors have the capability of sensing, computing, and wireless communications with a life limited battery. Energy is a challenging issue in these networks, but various routing protocols are used by cluster-based organizations to overcome this problem. In this paper, we propose a new hybrid method of K-means and improved GAs for the sake of reducing energy conception and prolonging network lifetime. In the proposed method, it will be a reduced energy conception by finding the optimal number of cluster heads (CHs) nodes by using the k-means algorithm using the improved genetic algorithm (GA) and dynamic clustering of the network environment. We have made simulations on NS-2 that show the longer network lifetime of the proposed algorithm than the LEACH, GAEEP and GABEEC protocols.

Preparation of a Thermally Reversible Gelation Polymer Containing Ciprofloxacin-PLGA Nanoparticles for Local Delivery of Antibiotics

Preparation of a Thermally Reversible Gelation Polymer Containing Ciprofloxacin-PLGA Nanoparticles for Local Delivery of Antibiotics

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Part of #Preparation of a Thermally Reversible Gelation Polymer Containing Ciprofloxacin-PLGA Nanoparticles for Local Delivery of Antibiotics# :

Publishing year : 2011

Conference : International Conference on Polymer Processing

Number of pages : 5

Abstract: Biodegradable in-situ gels are useful prospects for delivering drugs into periodontal pockets. The nanoparticle system provides several advantages compared to emulsion-based delivery systems and microparticles, including high dispersibility in aqueous medium, controlled release of the drug and increased stability. Nanoparticles penetrate regions that may be inaccessible to other systems, such as periodontal pocket below the gum line. The purpose of this study was to prepare a new thermal gelation biodegradable polymer containing antibiotic-PLGA nanoparticles that gels at body temperature for local release of antibiotics and decreasing the systemic antibiotic dosage for patients. PLGA-PEG-PLGA tri-block copolymers were synthesized by the ring-opening method. PLGA nanoparticles (376 nm of size, 2.62% of drug loading) incorporating ciprofloxacin was prepared by a water / oil / water emulsification solvent evaporation method. The molecular weight of the resulting tri-block copolymers determined by gel permeation chromatography (GPC) was approximately 4350. The H-NMR spectrum was used for structural analysis (22.03% glycolide content). The tri-block copolymers were soluble in water, forming a free-flowing solution that spontaneously gelled at body temperature to create a water-insoluble gel. Interconversion between the sol and gel states has been repeated through numerous cycles without evidence of change. The in-situ gels containing drug-nanoparticles provide excellent local delivery of antibiotics, comparing with the drug released from nanoparticles, which is easy to process and administer. Nanoencapsulation of the drug was demonstrated that ciprofloxacin nanoparticles could significantly improve the efficacy of ciprofloxacin antibacterial.

An Integrated Hybrid Power Supply for Off-Grid Applications Fed by Wind/Photovoltaic/Fuel Cell Energy Systems

An Integrated Hybrid Power Supply for Off-Grid Applications Fed by Wind/Photovoltaic/Fuel Cell Energy Systems

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Part of #An Integrated Hybrid Power Supply for Off-Grid Applications Fed by Wind/Photovoltaic/Fuel Cell Energy Systems# :

Publishing year : 2009

Conference : Twenty Fourth International Power Conference

Number of pages : 11

Abstract: This paper introduces a hybrid wind / photovoltaic / fuel cell generation system for a typical domestic load, which is not located near the electric grid. In this configuration, the combination of a battery, an electrolyser, and a hydrogen storage tank are used as an energy storage system. The goal of this design is to find the configuration, amongst a set of system components, which meets the desired system reliability requirements, with the lowest value of equalized cost of energy over 20 years of operation. An energy-based modeling has been developed using Matlab-Simulink to observe the evolution of the system during a typical day, and the results are reported and discussed in the paper.

RemovalofPhenazopyridinefrom Waterasa PharmaceuticalPollutantModelby CuO/ZnO/ScoriaNanophotocatalyst

RemovalofPhenazopyridinefrom Waterasa PharmaceuticalPollutantModelby CuO/ZnO/ScoriaNanophotocatalyst

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Part of #RemovalofPhenazopyridinefrom Waterasa PharmaceuticalPollutantModelby CuO/ZnO/ScoriaNanophotocatalyst# :

Publishing year : 2015

Conference : International Conference on Science, Engineering and Environmental Technologies

Number of pages : 6

Abstract: Photocatalytic removal of phenazopyridine from water and a model of pharmaceutical pollutants was investigated under visible light in this research. ZnO was synthesized and immobilized directly by sol-gel method on porous granular scoria rocks. The CuO was added to the ZnO / Scoria structure to make a visible light-sensitive photocatalyst. Energydispersive X-ray spectroscopy (EDS) was used to confirm the synthesis of ZnO and CuOn the photocatalyst. Particle size was determined by scanning electron microscopy (SEM). The photocatalytic process was performed in a continuous open channel reactor. Results showed a phenasopyridine removal of about 60% in steady state conditions.

Load-Frequency Control: Multiobjective Optimization Based on Genetic Algorithms

Load-Frequency Control: Multiobjective Optimization Based on Genetic Algorithms

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Part of #Load-Frequency Control: Multiobjective Optimization Based on Genetic Algorithms# :

Publishing year : 2013

Conference : 16th Iranian Student Conference on Electrical Engineering

Number of pages : 5

Abstract: Conventional load-frequency control (LFC) systems are useclassical or trial-and-error approaches to tuned PI controllerparameters. These approaches are incapable of obtaining gooddynamic performance for a wide range of operating conditions and variable load changes scenarios in a multi-area power system. Alsorecently, several modern control theory designs like

GUN BLAST LOAD MODELLING AND STRUCTURAL RESPONSE ANALYSIS OF STIFFENED PLATE STRUCTURES

GUN BLAST LOAD MODELLING AND STRUCTURAL RESPONSE ANALYSIS OF STIFFENED PLATE STRUCTURES

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Part of #GUN BLAST LOAD MODELLING AND STRUCTURAL RESPONSE ANALYSIS OF STIFFENED PLATE STRUCTURES# :

Publishing year : 2007

Conference : Fifteenth Annual Conference of Mechanical Engineering

Number of pages : 6

Abstract: The deck of military crafts is usually exposed to muzzle blast effects from a wide variety of guns. These stiffened structures must be sufficiently strong to withstand blast pressure. The distribution of gun muzzle blast loads is a very complex pattern. This paper aims at introducing the results of structural modeling and analysis of one aluminum deck under such a complicated load. In line with the defined goal, transient dynamic analyzes are performed using a finite element method.

The Effect of Forward Recollection on Retrieval of Iranian EFL Male & female Learners’ Vocabulary

The Effect of Forward Recollection on Retrieval of Iranian EFL Male & female Learners’ Vocabulary

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Part of #The Effect of Forward Recollection on Retrieval of Iranian EFL Male & female Learners’ Vocabulary# :

Publishing year : 2014

Conference : Second National Conference on Applied Research in English Language Studies

Number of pages : 6

Abstract: This study, which was run in Tabriz, is designed to investigate the effect of forward recollection technique on vocabulary retrieval of Iranian second language learners. The study was conducted by Ninety Intermediate EFL Learners as Immersion (60 male & female) and non-immersion groups (30 males and females). Learners in the immersion group were exposed to the materials through forward recollection in twenty sessions. In non-immersion group, the researcher taught the same materials through conventional techniques. Two weeks after finishing sessions, learners in immersion and non-immersion groups received validated posttest of the vocabulary to be checked against their vocabulary retrieval. The findings show that the application of forward recollection technique has helped immersion group participants to perform better than control group. It is worth mentioning that there is no significant difference between genders who received a forward recollection technique.

Multi (Two) Area Load Frequency Control: A Comparative Study Based On PI, PID and Fuzzy Logic Controllers

Multi (Two) Area Load Frequency Control: A Comparative Study Based On PI, PID and Fuzzy Logic Controllers

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Part of #Multi (Two) Area Load Frequency Control: A Comparative Study Based On PI, PID and Fuzzy Logic Controllers# :

Publishing year : 2013

Conference : National Conference on Electrical Engineering and Sustainable Development, Focusing on New Achievements in Electrical Engineering

Number of pages : 9

Abstract: Load frequency control (LFC) in power systems operation has been a major issue for power system operators. This study presents the design and implementation of intelligent controllers based on fuzzy logic (FL), for automatic generation control (AGC) of a two-zone hydrothermal power system. The AGC performance with intelligent controllers is compared to the performance of conventional proportional integral (PI) and proportional integral derivative (PID) controllers under load disturbance. Comparative analysis of results shows a significant improvement in system performance with intelligent controllers following a load disturbance in either of the areas. The fuzzy controller provides better dynamic response, reduced magnitude and minimized frequency transients.

Privacy-Preserving Single Layer Perceptron

Privacy-Preserving Single Layer Perceptron

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Part of #Privacy-Preserving Single Layer Perceptron# :

Publishing year : 2009

Conference : 6th Iranian Security Forum Conference

Number of pages : 8

Abstract: In this paper, we will introduce several notions of privacy, such as k-anonymity, p-indistinguishability, (c, t) -isolation, and SMC-based measures. We then turn our attention to privacy-preserving classification algorithms. We propose two approaches to classify data using a neural-network classifier called perceptron. The first approach is based on probabilistic encryption, while the second one is based on simple random computations. The two approaches are then compared, and the advantages and disadvantages of each are considered.