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Search Results: 1 - 10 of 204 matches for " Yaser Ghorbanzad "
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The impact of information technology on productivity using structural equations technique in Iran Behnoush Company
Yaser Ghorbanzad,Mina Beig
Management Science Letters , 2012,
Abstract: Information technology plays an important role on increasing productivity in many organizations. The primary objective of the present survey is to study the impact of information technology on productivity and find a positive and significant relationship between these two factors. Structural equations technique and LISREL software are used for analysis of the questionnaires distributed among managers and some employees of Iran Behnoush Company. Organizations try to improve their performance by investment in information technology. However, many of the previous studies indicate insignificance of the impact of information technology on productivity of the organizations. The present survey studies the impact of information technology on organizations' productivity through the collected data from the above company. Results confirm existence of a positive relationship between information technology and productivity.
Identifying and prioritizing innovation criteria of projects in science and technology parks using fuzzy VIKOR
Javad Siahkali Moradi,Yaser Ghorbanzad,Mina Beig
Management Science Letters , 2012,
Abstract: The idea of Science and Technology parks has been widely used in many countries and many innovative plans are initiated in these places. In this paper, we present a multiple criteria decision making plan to prioritize important factors influencing the success of an innovative plan. The study uses fuzzy triangular numbers to gather decision makers' feedback on different criteria and rank them using fuzzy VIKOR method. The results of our survey indicate that it is important to be the first who introduce the idea, the idea must be important for customers and market and it must be scientifically justified. Among other important criteria, the availability of experts to support the ideas and applicability in the area of human and social science are of important criteria. The plan also does not need to have huge amount of investment and a complicated technology and finally it should come to market in short amount of time.
A hybrid of Kano and QFD for ranking customers’ preferences: A case study of bank Melli Iran
Mohammad Hassan Pourhasomi,Alireza Arshadi Khamseh,Yaser Ghorbanzad
Management Science Letters , 2013,
Abstract: Nowadays, many service provider organizations compete to survive and surpass other competitors in the world. They apply new techniques and instruments to identify and to prioritize important criteria for their customers to gain customer satisfaction. Banks, as one of the service provider organizations, are no exception. Quality plays essential role in banking industry and customer’ gratification is considered as one of the major and essential goals in this field. Recognition and awareness regarding the customers’ needs and requirements would facilitate providing satisfactory services. It could be said that improved understanding, accurate identification and prioritization of bank customers’ requirements are the keys to success for bank managers. The present study aims to integrate two approaches of Quality Function Deployment (QFD) and Kano's model through implementation of Analytical Hierarchy Process (AHP). This study proposes a novel approach to identify and to analyze the priorities of bank customers’ requirements. The results indicate that the priorities of bank customers are different before and after integration of Kano’s Model in the planning matrix of QFD.
The Plurality of the Sacred—Critical Remarks on Mircea Eliade’s Conception of the Sacred  [PDF]
Yaser Mirdamadi
Open Journal of Philosophy (OJPP) , 2015, DOI: 10.4236/ojpp.2015.57048
Abstract: Mircea Eliade’s conception of the sacred, confining it to religious sacred, is criticized. A more comprehensive model of the sacred, which includes non-religious sacred, is developed and human love is suggested as a good candidate for non-religious sacred.
Using Quadtree Algorithm for Improving Fuzzy C-means Method in Image Segmentation
Zahra Ghorbanzad,Farshid Babapour
International Journal of Computer Science Issues , 2012,
Abstract: Image segmentation is an essential processing step for much image application and there are a large number of segmentation techniques. A new algorithm for image segmentation called Quad tree fuzzy c-means (QFCM) is presented I this work. The key idea in our approach is a Quad tree function combined with fuzzy c-means algorithm. In this article we also discuss the advantages and disadvantages of other image segmenting methods like: k-means, c-means, and blocked fuzzy c-means. Different experimental results on several images in this article show that the proposed method significantly increases the accuracy and speed of image segmentation
Exploring Teaching Training Using Metaphors among Arab Students in Israel  [PDF]
Khawla Zoabi, Yaser Awad
Creative Education (CE) , 2012, DOI: 10.4236/ce.2012.32034
Abstract: Many studies reveal that personal insights and growth can be followed through the study of narratives and metaphors in the field of education. Yet, there is a striking lack of studies in education that analyzes students’ metaphors regarding teacher-training practicum as a continuous process, and there is a lack of such studies in various cultural contexts. This paper describes how Arab teacher-training students described their impressions of their practical experience through personal stories entirely based in metaphoric language. The study was carried out in a multiple case study format, in which the cases are the stories of the students. The stories were written in Arabic the mother tongue of the students. This paper contributed to the body of knowledge available about student teachers’ practical experiences in two ways: first, by providing a detailed understanding of how students perceive their practicum; and second, since knowledge through metaphors can provide direction in structuring training courses for student teaching in accordance with student insights and by addressing their needs, such an understanding will be useful to teachers and instructors and can guide them in providing training that is relevant, rational, and supportive.
A Cooperative Distributed System for Real-Time Route Guidance  [PDF]
Yaser E. Hawas
Journal of Transportation Technologies (JTTs) , 2012, DOI: 10.4236/jtts.2012.23025
Abstract: This paper describes a cooperative decentralized architecture for reactive real-time route guidance. The architecture is cooperative in the sense that it allows adjacent local controllers to exchange information regarding the traffic conditions in their territories. A set of local decision rules and associated heuristic functions to support the cooperative architecture are specified. A protocol governing the knowledge exchange among local adjacent controllers is developed. A simulation-assignment modeling framework is used for assessing the effectiveness of this cooperative architecture under various levels of controller knowledge and network traffic congestion. The cooperative decentralized system is tested under various scenarios of knowledge and cooperation and network traffic demand levels. The cooperative system is compared against the shortest path algorithm as a benchmark.
Multi-Deployment of Dispersed Power Sources Using RBF Neural Network  [PDF]
Yaser Soliman Qudaih, Takashi Hiyama
Energy and Power Engineering (EPE) , 2010, DOI: 10.4236/epe.2010.24032
Abstract: Multi-deployment of dispersed power sources became an important need with the rapid increase of the Distributed generation (DG) technology and smart grid applications. This paper proposes a computational tool to assess the optimal DG size and deployment for more than one unit, taking the minimum losses and voltage profile as objective functions. A technique called radial basis function (RBF) neural network has been utilized for such target. The method is only depending on the training process; so it is simple in terms of algorithm and structure and it has fast computational speed and high accuracy; therefore it is flexible and reliable to be tested in different target scenarios. The proposed method is designed to find the best solution of multi- DG sizing and deployment in 33-bus IEEE distribution system and create the suitable topology of the system in the presence of DG. Some important results for DG deployment and discussion are involved to show the effectiveness of our proposed method.
Utilization of Energy Capacitor Systems in Power Distribution Networks with Renewable Energy Sources  [PDF]
Yaser Soliman Qudaih, Takashi Hiyama
Journal of Electromagnetic Analysis and Applications (JEMAA) , 2010, DOI: 10.4236/jemaa.2010.24030
Abstract: The impact of power fluctuation caused by renewable sources is highly negative. This article discusses the idea of an energy capacitor system (ECS) which regulates the power balance in a distribution system based on Multi-Agent System (MAS). Energy Capacitor system as a storage device plays the main role to control the system’s power quality by absorbing the fluctuations. Load Following Operation (LFO) process and coordination control scheme between the ECS and diesel generator have been introduced. Results show the efficient utilization of the ECS based on a special index defined in this paper to evaluate the power fluctuations in the distribution system. The results also show the useful implementation of the control scheme by revealing the capability of keeping the ECS stored energy in the specified range.
Preliminary study of binary protein adsorption system and potential bioseparation under homogeneous field of shear in airlift biocontactor  [PDF]
Yaser Dahman, Kithsiri E. Jayasuriya
Advances in Bioscience and Biotechnology (ABB) , 2013, DOI: 10.4236/abb.2013.46094
Abstract:

This paper investigates the bioseparation of binary protein mixtures using polystyrene based anion exchange resin. Adsorption experiments were conducted in batch mode using draft-tube internally recirculate dair lift biocontactor in comparison with the conventional shake flask batch adsorption equilibrium experiments. Binary protein mixtures contained bovine serum albumin (BSA) and bovine haemoglobin (BHb) at different initial fractions. Results from single solute adsorption experiments in biocontactor showed that both proteins were equally adsorbed onto the resin with equilibrium reached in an equal time period. This represents similar affinities towards the negatively charged resin surface, although BSA was expected to adsorb through specific forces. Adsorption results showed that BSA has hindered the BHb adsorption in the biocontactor, although adsorption of both proteins was equally hindered in the shake flasks adsorption experiments. Moreover, adsorption of BHb was inhibited up to 29% in the presence of BSA compared to the adsorption of BHb from a solution containing single solute of BHb at the same initial concentration. Similarly, the presence of BHb has hindered the adsorption of BSA by 59%. Adsorptions of both BSA and BHb from binary solution when each formed 75% initial fraction while the other protein formed the remaining 25% were relatively low with equilibrium reached in shorter time. Moreover, considerable amount of proteins remained in the solution, which demonstrates that multilayer adsorption most likely didn’t occur at the relatively small protein concentrations used in the present study. In general, the higher adsorption of BHb can also be related to the compressibility of its molecules which allowed for higher adsorption capacity. The homogeneous and lower shear environment in the airlift biocontactor compared to the other conventional batch adsorption in shake flask reduced the compressibility of BHb that caused higher BSA adsorption from binary solutions of BSA and BHb, which allowed for better bioseparation of both proteins.

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