در هنگام جستجو کلمه در قسمت عنوان میتوانید کلمات مورد جستجو را با کاراکتر (-) جدا کنید.
کاربرد نوع شرط:
- جایگاه : پژوهشی
- مجله: Journal of Teaching Language Skills
- نوع مقاله: Journal Article
- کلمات کلیدی: research articles,Argumentative Writing,Introduction,Thematicity,thematic organization
- چکیده:
- چکیده انگلیسی: The present study aimed to find out thematic organization and progression in the argumentative writing of Iranian learners of English, representing two levels of language proficiency, and the introduction section of published Research articles (RAs) of Applied Linguistics. For this aim, 60 articles were downloaded from three journals and also 92 MA and BA students majoring in English Language Teaching and English Literature were selected. Then, three topics were used for gathering data from them. Of the written argumentative compositions, only 67 were chosen for the next phase of the study. These compositions together with the RAs were analyzed based on Halliday’s (1985) model of thematic structure and the revised model of Danes’ (1974) thematic progression patterns. The results of Chi-square suggested that there was a significant difference in the thematic structure of the essays written by MA students and the introduction section of RAs. It was concluded that thematicity can be effectively applied in classrooms to help students in writing. Students will know where they are losing their effectiveness in their arguments due to problems with either thematic progression or thematic selection, or both. The findings of this study can be effectively applied in teaching writing skills.
- انتشار مقاله: 29-08-1395
- نویسندگان: Alireza Jalilifar,Mohammad Alipour,Mahsa Rabiee
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Theoretical and Applied Vibration and Acoustics
- نوع مقاله: Journal Article
- کلمات کلیدی: Intelligent controller,Galloping,Square-section cylinder,Flow-induced vibration,active controller
- چکیده:
- چکیده انگلیسی: An adaptive fuzzy sliding mode controller (AFSMC) is adopted to reduce the 2D flow-induced vibration of an elastically supported square-section cylinder, free to oscillate in stream-wise and
transverse directions in both lock-in and galloping regions. The AFSMC strategy consists of a fuzzy logic inference system intended to follow a sliding-mode controller (SMC), and a robust control system designed to retrieve the variance between the sliding mode and fuzzy controllers. The sprung square cylinder first experiences vortex-induced vibrations with increasing Reynolds number, and then, after passing the critical flow velocity, it confronts high-amplitude and low-frequency
vibrations of galloping owning to its sharp corners. A co-simulation platform is considered by linking the AFSMC system modeled in Matlab/Simulink to the plant model implemented in Fluent, aiming at the calculation of opposite control force needed for comprehensive annihilation of the cylinder motions. Based on the performed numerical simulations, it becomes clear that the utilized active control system has successfully mitigated the two-degree-of-freedom vibrations of a square cylinder in both the lock-in region and galloping zone. Here, the vibration amplitudes in the transverse and
streamwise directions have decreased by 93% and 94%, for the lock-in region and 93% and 99%, for the galloping zone, respectively.- انتشار مقاله: 31-01-1398
- نویسندگان: Amir Hossein Rabiee,Amir Hossein Rabiee,Amir Hossein Rabiee
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Operation and Automation in Power Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: FACTS devices,congestion management,DigSILENT,FACTS devices allocation,DPSO algorithm
- چکیده: سیستمهای انتقال انعطافپذیر AC (FACTS) عملکرد مناسبی در حل مشکلات سیستمهای انتقال انرژی الکتریکی از خود نشان دادهاند. مسئله جایابی بهینه ادوات فکتس که شامل تعیین نوع و مکان مناسب این تجهیزات میباشد، بطور گسترده توسط محققین بهمنظور بهبود پارامترهای مختلف سیستم قدرت مطالعه گردیده است. در این مقاله الگوریتم اجتماع ذرات گسسته (DPSO) مبتنی بر نرمافزار DIgSILENT به منظور مدیریت پخش بار، رفع تراکم خطوط، و بهبود پروفیل ولتاژ در یک شبکه واقعی بکار گرفته شده است. الگوریتم DPSO در محیط برنامهنویسی (DPL) نرمافزار DIgSILENT پیادهسازی شده و بر روی شبکه واقعی شرکت برق منطقهای گیلان، که در شمال ایران واقع شده، اعمال گردیده است.روش بهینهسازی ارائه شده یک ابزار تصمیمگیری مناسب با کاربری راحت برای مهندسین شرکتهای برق میباشد چرا که در محیط نرمافزار DIgSILENT که در اکثر شرکتهای برق برای مطالعات شبکه استفاده می شود، پیادهسازی گردیده است. نتایج مربوط به شبیهسازیهای صورت گرفته بیانگر کارایی روش پیشنهادی در بهیود مشخصات فنی سیستم قدرت میباشد.
- چکیده انگلیسی: Flexible AC Transmission Systems (FACTS) devices have shown satisfactory performance in alleviating the problems of electrical transmission systems. Optimal FACTS allocation problem, which includes finding optimal type and location of these devices, have been widely studied by researchers for improving variety of power system technical parameters. In this paper, a DIgSILENT-based Discrete Particle Swarm Optimization (DPSO) algorithm is employed to manage the power flow, alleviate the congestion, and improve the voltage profile in a real case study. The DPSO have been programmed in DPL environment of DIgSILENT software and applied to the power grid of Gilan Regional Electric Company (GilREC), located in north of Iran. The conducted approach is a user-friendly decision making tool for the engineers of power networks as it is executed in DIgSILENT software which is widely used in electric companies for the power system studies. The simulation results demonstrate the effectiveness of the presented method in improving technical parameters of the test system through several case studies.
- انتشار مقاله: 06-03-1398
- نویسندگان: A. Bagheri,A Rabiee,S. Galavani,F. Fallahi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Operation and Automation in Power Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: FACTS devices,congestion management,DigSILENT,FACTS devices allocation,DPSO algorithm
- چکیده: سیستمهای انتقال انعطافپذیر AC (FACTS) عملکرد مناسبی در حل مشکلات سیستمهای انتقال انرژی الکتریکی از خود نشان دادهاند. مسئله جایابی بهینه ادوات فکتس که شامل تعیین نوع و مکان مناسب این تجهیزات میباشد، بطور گسترده توسط محققین بهمنظور بهبود پارامترهای مختلف سیستم قدرت مطالعه گردیده است. در این مقاله الگوریتم اجتماع ذرات گسسته (DPSO) مبتنی بر نرمافزار DIgSILENT به منظور مدیریت پخش بار، رفع تراکم خطوط، و بهبود پروفیل ولتاژ در یک شبکه واقعی بکار گرفته شده است. الگوریتم DPSO در محیط برنامهنویسی (DPL) نرمافزار DIgSILENT پیادهسازی شده و بر روی شبکه واقعی شرکت برق منطقهای گیلان، که در شمال ایران واقع شده، اعمال گردیده است.روش بهینهسازی ارائه شده یک ابزار تصمیمگیری مناسب با کاربری راحت برای مهندسین شرکتهای برق میباشد چرا که در محیط نرمافزار DIgSILENT که در اکثر شرکتهای برق برای مطالعات شبکه استفاده می شود، پیادهسازی گردیده است. نتایج مربوط به شبیهسازیهای صورت گرفته بیانگر کارایی روش پیشنهادی در بهیود مشخصات فنی سیستم قدرت میباشد.
- چکیده انگلیسی: Flexible AC Transmission Systems (FACTS) devices have shown satisfactory performance in alleviating the problems of electrical transmission systems. Optimal FACTS allocation problem, which includes finding optimal type and location of these devices, have been widely studied by researchers for improving variety of power system technical parameters. In this paper, a DIgSILENT-based Discrete Particle Swarm Optimization (DPSO) algorithm is employed to manage the power flow, alleviate the congestion, and improve the voltage profile in a real case study. The DPSO have been programmed in DPL environment of DIgSILENT software and applied to the power grid of Gilan Regional Electric Company (GilREC), located in north of Iran. The conducted approach is a user-friendly decision making tool for the engineers of power networks as it is executed in DIgSILENT software which is widely used in electric companies for the power system studies. The simulation results demonstrate the effectiveness of the presented method in improving technical parameters of the test system through several case studies.
- انتشار مقاله: 06-03-1398
- نویسندگان: A. Bagheri,A Rabiee,S. Galavani,F. Fallahi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Operation and Automation in Power Engineering
- نوع مقاله: Journal Article
- کلمات کلیدی: state estimation,Measurement error,Meter measurement,Virtual meter,Voltage phase angle
- چکیده: تخمین حالت سیستم قدرت بخش مرکزی سیستم مدیریت انرژی در سیستمهای قدرت میباشد. هدف تخمین حالت، تعیین حالت سیستم و نیز توان عبوری از خطوط انتقال میباشد. در این مقاله یک الگوریتم پیشرفته تخمین حالت مبتنی بر حداقل مربعات وزندار، با معرفی اندازهگیرهای مجازی، ارایه شده است. برای هر شینه از شبکه به غیر از شینه مرجع، یک اندازهگیر مجازی، با استفاده از قانون گره در نظر گرفته میشود. با استفاده از اندازهگیرهای مجازی، یک الگوریتم بهبود یافته تخمین حالت ارایه میگردد که دارای دقت بالا و در عین حال حجم محاسبات کمتری میباشد. در مطالعه موردی، ابتدا الگوریتم ارایه شده روی یک سیستم ساده 6 گرهای، به صورت گام به گام، پیادهسازی و بررسی شده است. سپس عملکرد و کاربرد روش پیشنهادی روی سیستمهای نمونه IEEE 30 شینه و 118 شینه بررسی شده است. نتایج بدست آمده حاکی از کارایی روش ارایه شده در سیستمهای قدرت بزرگ، شامل هزاران شین، میباشد.
- چکیده انگلیسی: - Power system state estimation is a central component in energy management systems of power system. The goal of state estimation is to determine the system status and power flow of transmission lines. This paper presents an advanced state estimation algorithm based on weighted least square (WLS) criteria by introducing virtual meters. For each bus of network, except slack bus, a virtual meter is considered, using the concept of KCL law. Regarding virtual meter, an improved state estimation algorithm is obtained with higher accuracy and lower computation burden. In the case study, at first, a simple 6-bus test system is presented and the proposed state estimation algorithm is followed step by step. Then, in order to evaluate the effectiveness and applicability of algorithm, IEEE 30-bus and IEEE 118-bus test systems are also taken into consideration. The obtained results verify the usefulness of the proposed method in large size power systems including thousands of buses.
- انتشار مقاله: 29-04-1394
- نویسندگان: A. Rabiee,A. Rabiee,A. Rabiee
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Energy Management and Technology
- نوع مقاله: Journal Article
- کلمات کلیدی: Combined Heat and Power System,non-convex optimization,intelligent search algorithm
- چکیده:
- چکیده انگلیسی: Combined heat and power (CHP) systems have been utilized more and more in power systems, recently. With the increasing penetration of CHP-based co-generation of electricity
and heat, determination of economic dispatch of power and heat becomes a more complex
and challenging task. In this paper, the optimal operation of CHP-based system is studied and an algorithm is proposed for solution of it. The optimal operation of CHP-based
systems or CHP economic dispatch is inherently a nonlinear and non-convex optimization
problem with a lot of local optimal solutions. In this paper, frog leaping algorithm is used
for solution of the problem. This heuristic algorithm is well capable to attain the optimal
solutions even in the case of non-convex optimization problems. The proposed method is
implemented on several standard test systems. The obtained results have been compared
with other intelligent search algorithms. The numerical simulations verify that optimal
operation of CHP systems can result in a large economic annual saving.- انتشار مقاله: 17-03-1396
- نویسندگان: Abbas Rabiee,Mohammad Moradi-dalvand
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Energy Management and Technology
- نوع مقاله: Journal Article
- کلمات کلیدی: Risk Management,Risk constrained stochastic optimal power flow (RC-SOPF),scenario-based modeling,conditional value at risk (CVAR)
- چکیده:
- چکیده انگلیسی: his paper shows an application of a scenario-based method for risk constrained stochastic optimal power flow (RC-SOPF) problem in electricity utilities. A two-stage stochastic programming framework is developed for dealing with various uncertainties. Customers' demand, wind power generation, and electricity price are considered as the uncertain parameters in the proposed RC-SOPF problem. The aim is to minimize the energy procurement costs, while preserving an acceptable risk level. The energy procurement cost consists of generators active power generation costs, cost of energy procurement from external network (e.g. pool market or upstream network) and operation & maintenance cost of wind farms. To control the negative impacts of the uncertainties, variance and conditional value at risk (CVAR) are used as risk measures. The proposed model is implemented on the 39-bus New England test system. The obtained results show that CVAR is suitable index for management of the risk associated with uncertain parameters in comparison with variance.
- انتشار مقاله: 27-01-1396
- نویسندگان: Abbas Rabiee,Seyed Masoud Mohseni-Bonab,Tahereh Soltani,Leila Bayat
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of computer and Robotics
- نوع مقاله: Journal Article
- کلمات کلیدی: Fuzzy Ontology,Ontology,Query expansion,Semantic Search
- چکیده:
- چکیده انگلیسی: Due to the increasing web, there are many challenges to establish a general framework for data mining and retrieving structured data from the Web. Creating an ontology is a step towards solving this problem. The ontology raises the main entity and the concept of any data in data mining. In this paper, we tried to propose a method for applying the "meaning" of the search system, But the problem for these methods is building a knowledge base that can be used for semantic search. The previous work interprets the query in three ways:'semantic relation in ontology', 'co-occurrence in the document', and 'semantic relation from Thesaurus'. The proposed method has two parts. The first part, using domain ontology for classified web pages based on keyword and the concept in each domain and builds Fuzzy ontology as Knowledge Base and the next section offers a method for expanding the query using built fuzzy ontology. In this paper, we tried to create knowledge base with WordNet as a comprehensive dictionary and extracted Sub string (phrases include multi words) from WordNet for each keyword in each domain ontology. The created Search engine was applied to an experimental system to evaluate the "precision – Recall” and it was revealed that applying the proposed method can improve query expansion 11%better in our experiments for precision.
- انتشار مقاله: 30-05-1390
- نویسندگان: Shaghayegh Rabiee Kenari,Eslam Nazemi
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Bioengineering Research
- نوع مقاله: Journal Article
- کلمات کلیدی: Nanocomposite,Capsaicin,biocompatibility,Cobalt ferrite,ZSM-5
- چکیده:
- چکیده انگلیسی: Introduction: A range of strategies for eliminate the cancer tissue have been used, consisting of medical operation, chemo and radiotherapy.
Objective: There is a significant issue about chemotherapy, the medications targeted delivery to object tissue cells is found challengeable because of the presence of numerous physical obstructions.
Materials and Methods: In the present study, we synthesized and characterized a novel and promising specific pH-stimuli-responsive tumor-targeted DDS. The synthesized magnetic nanoparticles (Nanocomposite) were fully characterized by FESEM, TEM, DLS, XRD and VSM.
Results: The morphology of Nanocomposite are acquired in semi-spherical shape with the specified diameters. The Capsaicin was successfully loaded Nanocomposite represented promising and admissible biocompatibility as well as showing higher toxicity versus SK-N-MC cells in comparison with control group.
Conclusion: Furthermore, uptake investigation proved that the effectively internalized Drug Delivery System (DDS). In addition, the in vitro assay represented that the synthesized Nanocomposite can act nearly fully pH stimuli-responsive and release the Capsaicin at controlled condition. MTT assay verified the higher toxicity of Capsaicin loaded into the Nanocomposite in comparison with the control group. MRI in vitro investigation demonstrated that the prepared Nanocomposite can utilized as MRI imaging agent.- انتشار مقاله: 25-11-1397
- نویسندگان: Navid Rabiee,Mohammad Rabiee
- مشاهده
- جایگاه : پژوهشی
- مجله: Journal of Basic and Clinical Pathophysiology
- نوع مقاله: Journal Article
- کلمات کلیدی: Umbilical cord,Fetal Heart,Fetal distress,Coiling index
- چکیده:
- چکیده انگلیسی: Introduction:
It is well know that fetal distress is one of the important causes of fetus perinatal morbidity and mortality. In this study, we sought to evaluate the association between umbilical coiling index and fetal distress.
Material and method:
This was a case- control study conducted on 90 term pregnant women. Study group had fetal distress (abnormal fetal heart rate, meconium staining, Apgar score less than 7 in fifth minute and PH of umbilical cord arterials < 7.2) and control group did not have above complications. After fetus birth, umbilical coiling index (UCI) was calculated and heparinated blood of umbilical cord arteries was sent to laboratory for checking acidity. Finally, data was analyzed using SPSS software, version 18 by t-test and Pearson correlation test.
Results: The mean UCI was 0.23 ±0.13coils/cm and 0.30± 0.13coils/cm in study and control groups, respectively which had meaningful difference (p=0.017). However, there was a significant correlation (p=0.03) between UCI and bradycardia, but there was no significant association between UCI and meconium staining, tachycardia and acidity of umbilical cord arterials (P>0.05). Roc curve demonstrated that UCI had the ability to be used to predict fetal distress and the best point for predicting fetal distress was 0.23 coils/cm
Conclusion:
Fetal heart bradycardia had significant association with UCI and UCI could be used to predict fetal distress.- انتشار مقاله: 30-04-1394
- نویسندگان: Maryam Rabiee,Shiva Rafatie,Mahdie Mohammad Naghizadeh
- مشاهده