با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
ردیف | عنوان | نوع |
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1 |
Nemesyst: A hybrid parallelism deep learning-based framework applied for internet of things enabled food retailing refrigeration systems
Nemesyst: یک چارچوب مبتنی بر یادگیری عمیق موازی ترکیبی برای سیستم های تبرید خرده فروشی مواد غذایی توانا شده با اینترنت اشیا-2019 Deep learning has attracted considerable attention across multiple application domains, including com-puter vision, signal processing and natural language processing. Although quite a few single node deeplearning frameworks exist, such as tensorflow, pytorch and keras, we still lack a complete processingstructure that can accommodate large scale data processing, version control, and deployment, all whilestaying agnostic of any specific single node framework. To bridge this gap, this paper proposes a new,higher level framework, i.e. Nemesyst, which uses databases along with model sequentialisation to allowprocesses to be fed unique and transformed data at the point of need. This facilitates near real-time appli-cation and makes models available for further training or use at any node that has access to the databasesimultaneously. Nemesyst is well suited as an application framework for internet of things aggregatedcontrol systems, deploying deep learning techniques to optimise individual machines in massive net-works. To demonstrate this framework, we adopted a case study in a novel domain; deploying deeplearning to optimise the high speed control of electrical power consumed by a massive internet of thingsnetwork of retail refrigeration systems in proportion to load available on the UK National Grid (a demandside response). The case study demonstrated for the first time in such a setting how deep learning models,such as Recurrent Neural Networks (vanilla and Long-Short-Term Memory) and Generative AdversarialNetworks paired with Nemesyst, achieve compelling performance, whilst still being malleable to futureadjustments as both the data and requirements inevitably change over time. Keywords:Deep learning | Databases | Distributed computing | Parallel computing | Demand side | responseRefrigeration | Internet of things |
مقاله انگلیسی |
2 |
Fuzzy control system for variable rate irrigation using remote sensing
سیستم کنترل فازی برای آبیاری با سرعت متغیر با استفاده از سنجش از دور-2019 Variable rate irrigation (VRI) is the capacity to spatially vary the depth of water application in a field to handle different types of soils, crops, and other conditions. Precise management zones must be devel- oped to efficiently apply variable rate technologies. However, there is no universal method to determine management zones. Using speed control maps for the central pivot is one option. Thus, this study aims to develop an intelligent fuzzy inference system based on precision irrigation knowledge, i.e., a system that can create prescriptive maps to control the rotation speed of the central pivot. Satellite images are used in this study because remote sensing offers quick measurements and easy access to information on crops for large irrigation areas. Based on the VRI-prescribed map created using the intelligent decision- making system, the pivot can increase or decrease its speed, reaching the desired depth of application in a certain irrigation zone. Therefore, considering the spatial variability in the crop has made the strategy of speed control more realistic than traditional methods for crop management. The intelligent irrigation system pointed out areas with lower leaf development, indicating that the pivot must reduce its speed, thus increasing the water layer applied to that area. The existence of well-divided zones could be ob- served; each zone provides a specific value for the speed that the pivot must develop for decreasing or increasing the application of the water layer to the crop area. Three quarters of the total crop area had spatial variations during water application. The set point built by the developed system pointed out zones with a decreased speed in the order of 50%. From the viewpoint of a traditional control, the relay from pivot percent timer should have been adjusted from 70% to 35% whenever the central pivot passed over that specific area. The proposed system obtained values of 37% and 47% to adjust the pivot percent timer. Therefore, it is possible to affirm that traditional control models used for central-pivot irrigators do not support the necessary precision to meet the demands of speed control determined by the developed VRI systems. Results indicate that data from the edaphoclimatic variables when well-fitted to the fuzzy logic can solve uncertainties and non-linearities of an irrigation system and establish a control model for high-precision irrigation. Keywords: Fuzzy control | Variable rate irrigation | Speed control | Remote sensing | Decision support system |
مقاله انگلیسی |
3 |
Design and implementation methodology for rapid control prototyping of closed loop speed control for BLDC motor
روش طراحی و اجرا برای نمونه سازی سریع کنترلی کنترل سرعت حلقه بسته برای موتور BLDC-2018 This paper deals with rapid control prototyping implementation of closed loop speed control for a Brushless dc (BLDC) motor drive using dSPACE DS1103 controller board. Generally control algorithms which are developed for the motor drive might show good simulation results during steady state and transient conditions; however real-time performance of the drive greatly depends on execution of real time control software, speed and position measurements and data acquisition. The real challenge of hardware implementation lies in selecting appropriate hardware equipment and perfect configuration of the equipment with controller board. The dSPACE DS1103 controller board is suitable for high performance electric motor control as it has flexibility of converting the MATLAB/Simulink blocks into DSP enabled embedded code. In this paper a detailed procedure to effectively control the BLDC motor drive in real-time is presented.
keywords: BLDC motor |Rapid control prototyping |dSPACE |DS1103 |
مقاله انگلیسی |
4 |
Methodology to Assess the Effects of ICT-measures on Emissions: The Case Study of Madrid
روش شناسی برای ارزیابی تاثیرات فناوری اطلاعات و ارتباطات بر میزان انتشار: مطالعه موردی مادرید-2017 The road transportation sector is one of the largest emitters of Greenhouse Gases, which triggered the climate change. Much
effort is dedicated to reduce the emissions, highlighting the use of Information and Communication Technologies. In this
framework, the ICT-Emissions project has developed the methodology necessary to estimate the effects of ICT-measures on
emissions. Based on this methodology, this paper presents the results of the measures tested in the case study of Madrid: Section
Speed Control, Variable Speed Limits, Cruise Control, Eco-Driving and Green Navigation. Some of the measures have been
analysed with real Floating Car Data, comparing the fuel consumption before and after implementing the ICT-measures. On the
other hand, Green Navigation results are based only in simulation. Although the level of analysis is different for each of the
tested measures, the results show positive values in terms of CO2 emission reductions and prove the applicability of the ICT
Emissions methodology.
Keywords: GHG emissions | ICT-measures | Floating Car Data | traffic simulation | emission simulation |
مقاله انگلیسی |
5 |
A self-tuning PI controller for the speed control of electrical motor drives
کنترل PI خود تنظیم برای کنترل سرعت درایو موتور الکتریکی-2015 This paper proposes a self-tuning PI controller for the speed control of electrical motor drives. The pro
posed PI controller gains are adjustable parameters and will be updated online depending on the speed
error. They are designed to vary within a pre-determined range to eliminate the problems faced by
the conventional fixed PI controller. The performance of the proposed self-tuning PI controller using a
field oriented control (FOC) of hybrid stepper motor (HSM) is simulated and compared with the con
ventional PI controller under tracking performance, parameters variation and load torque disturbances.
The proposed controller is implemented with DSP-DS1102 control board and evaluated through labo
ratory experiments for the HSM drive. Simulation and experimental results show the effectiveness of
the proposed approach. It is very simple and has given improved results when compared with previous
approaches.
Keywords:
Self-tuning PI controller
DSP-based control
Hybrid stepper motor
Field oriented control
Adaptive control
Speed control |
مقاله انگلیسی |
6 |
Load–frequency control management in island operation
مدیریت کنترل بار فرکانس در عملیات جزیره-2014 This paper analyzes particular cases of active power and frequency control strategies in island operation
when a part of the system is electrically separated from the main interconnected system. This operation
condition occurs rarely on a transmission system level; however, the control systems on all levels should
be adjusted accordingly and transmission system operators should have a plan prepared to manage such
an extraordinary situation. A number of possibilities for the cooperation of turbine control modes and
supervisory control of frequency and active power are investigated and evaluated in the paper. A new
mode for LFC suitable for island operation is proposed and tested as well. All ofthe examined possibilities
are simulated by a dynamic power system model. The results prove correctness of the proposed solution
for operating turbine control in a decentralised way in the island operation. Following the successful
transition to island operation, the new LFC mode can be used for centralised automatic frequency control
during the island resynchronisation phase
Keywords:
Island operation
Load frequency control (LFC)
Primary frequency control
Speed control
Load control |
مقاله انگلیسی |
7 |
کنترل سرعت موتور القایی بدون حسگر با کنترل گشتاور دینامیکی سریع
سال انتشار: 2011 - تعداد صفحات فایل pdf انگلیسی: 6 - تعداد صفحات فایل doc فارسی: 19 کنترل بردار در تحریک موتور القایی بکار گرفته می شود تا واکنش گشتاور سریع را ایجاد کند. روش های کنترل بردار مختلف قبلا مطرح شده است، که در میان آن ها کنترل گشتاور مستقیم ،عملکرد دینامیک سطح بالایی را با برنامه کنترل بسیار ساده ایجاد می کند. طرح DTC پایه، بر مبنای کنترل پسماند مغناطیسی جریان و گشتاور می باشد. عملکرد گشتاور دینامیک در کشش و کاربردهای وسایل نقلیه الکترونیکی بسیار مهم می باشد. روش دستیابی سریعترین عملکرد دینامیک با اصلاح طرح DTC پایه در این مقاله مورد بحث می باشد. این موارد از طریق بکارگیری بردار ولتاژ جداگانه حاصل شده که بزرگترین بخش های جریان محسوس را در زمان فعالیت گشتاور ایجاد می کند. روش اصلاحی در کنترل سرعت موتور القایی بدون حسگر مورد استفاده قرار می گیرد. طرح جدید با استفاده از ابزار شبیه سازی SEQUEL مورد تحلیل قرار می گیرد.
کلمات کلیدی: DTC | واکنش گشتاور دینامیک | DTC اصلاح شده | کنترل سرعت بدون سنسور | ابزار شبیه سازی SEQUEL |
مقاله ترجمه شده |