جستجوی مقالات مرتبط با کلیدواژه "gui" در نشریات گروه "فنی و مهندسی"
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Computer-aided educational platforms are of paramount importance as they provide students and engineers with interactive and personalized learning experiences, catering to their individual needs and enhancing their academic growth. This study presents a novel computer-aided educational platform designed by the authors to enhance the understanding of slope stability analysis for young industrial engineers and civil engineering students. The platform is implemented in Matlab, offering a user-friendly graphical interface and a robust framework. It facilitates a comprehensive investigation of landslides, encompassing crucial aspects such as circular slip surfaces and safety considerations based on the Bishop and Ordinary Method of Slices. Furthermore, it enables the determination of minimum safety factors for various methods applied to specific slopes. This paper provides a detailed exposition of each program function, including complete source code, to enhance comprehension of the underlying techniques. To ascertain its accuracy, a slope with given soil properties and geometry were modeled in the Matlab code and the performance of this code was benchmarked against Slide software. It showed only 5 percent error which shows the accuracy of the developed program.Keywords: Slope Stability Analysis, GUI, MATLAB, Bishop Method, Ordinary Method Of Slices
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This paper focuses on the development of a Graphical User Interface (GUI) and Artificial Neural Network (ANN) for the prediction of photovoltaic (PV) power output. PV power is generated based on the time, location, and surrounding climate conditions. Therefore, solar power generation predictions using computational methods are needed since the changing weather, which will impact the output power will not generate according to its rating. The objectives of this research are to predict photovoltaic power output at Universiti Tun Hussein Onn Malaysia (UTHM), develop an ANN configuration that can perform the prediction of solar power generation, and design GUI system that can both perform the calculations of power generation and ANN. In order to test the efficiency and reliability, MATLAB software has been used to develop the GUI and ANN, and the output is compared with the proposed mathematical equations. The real data as input data was obtained from the PV solar panel located at GSEnergy Focus Group fertigation site. The GUI with user-friendly features and ANN have been successfully designed and developed which can perform daily prediction of solar power output. On top of that, the results have shown that the ANN predictions are more precise to the real data than the GUI.
Keywords: prediction, PV panel, solar output, GUI, ANN -
Greenhouse works with exact observing and controlling of different boundaries, to develop quality conscience crops without killing assets. The cabling laid for the sensors, conveyed inside the greenhouse isn't possible. Thus the need for a computerized framework utilizing remote correspondence, what's more, remote detecting is basic. This paper proposes a Wireless Sensor Network (WSN) based implanted framework and manages the execution of ZigBee organization (over IEEE 802.15.4) for remote controlling of the greenhouse boundaries. The nitty gritty data in regards to the foundation of the ZigBee network in star geography as well as in Mesh Topology, inside the greenhouse is shown. It likewise shows the continuous observation of boundaries like temperature, and dampness, as well as the aggregate power utilization of the framework, with the assistance of a PC-based GUI application, created on the Java stage.Keywords: Greenhouse, Real-time monitoring, WSN, Embedded system, ZigBee (IEEE 802.15.4), Topology, GUI
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The purpose of this article is to improve the performance of the heat exchanger. Improving theperformance of the heat exchanger will ultimately improve the performance of the solar water heater. Wedesign feedbacks andoptimal temperature control feedback. Heater Exchanger temperature control improves the solar water heater operation. Four methods of temperature control are used, the most desirable according to the obtained simulations, feedback method and feed forward. By changing the Gain (Kc) in the Proportional-Integral (PI) controller, we reach the desired temperature. In this paper, programming in Matlab, Simulink environment and Graphical User Interface (GUI) is used to clarify the results are used to better display the results
Keywords: SolarWater Heating (SWH), Feedback Control(FB), Feed, Forward(FF), PI, GUI -
مساله استخراج اطلاعات ترافیکی از تصاویر ماهوارهای موضوع مهمی است که طی دو دههی گذشته توجه زیادی به آن شده است. به طور کلی هدف این مسئله یافتن تعداد وسایل نقلیه به تفکیک سبک و سنگین در یک تصویر هوایی یا ماهوارهای است. با توجه به وقت گیر بودن روش های دستی در این مقاله فرایند مذکور به کمک تکنیکهای پردازش تصویر انجام میشود. استخراج این اطلاعات کاربردهای فراوانی در زمینه های مختلف علمی و عملی از جمله مدیریت شهری و ترافیکی دارد و تبدیل به یک نیاز مستقیم برای جامعه شده است. بنابراین دسترسی به اطلاعات بههنگام و درعین حال قابل پردازش اهمیت زیادی پیدا میکند. روش معرفی شده در این مقاله، تفکیک و شمارش وسایل نقلیه با استفاده از تصاویر ماهواره ای و بر اساس تکنیک برنامه نویسی در بخش GUIنرم افزار MATLAB میباشد. تفکیک انجام شده با کیفیت تصویر نسبت مستقیم دارد به این ترتیب که در صورت در دست داشتن تصویری با وضوح بالا میتوان به تفکیک وسایل نقلیه سبک و سنگین دو یا سه محوره و حتی تفکیک تمامی وسایل نقلیه طرح طبق آیین نامه پرداخت. به نظر میرسد دقت انسانی همچنان به عنوان یک عامل موثر در استخراج اطلاعات ترافیکی باید مورد استفاده قرار گیرد. همچنین موضوع هزینه و زمان به عنوان یک مانع جدی در دسترسی به این اطلاعات میباشد که نیاز به این نرم افزار را بیشتر نشان می دهد.کلید واژگان: استخراج اطلاعات ترافیکی, تصاویر ماهوارهای, مدیریت شهری و ترافیکی, پردازش تصویر, تفکیک و شمارش وسایل نقلیه, نرم افزار MATLAB, GUIThe extracted traffic information from satellite images is an important issue which is concentrated during the past two decades. The overall goal of this issue is to find the quantity of vehicles by separating the light and heavy vehicles in an aerial or satellite images. Due to the time consuming manual methods in this paper, the process is carried out by using image processing techniques. Extracting this information has many applications in different fields of science and practice of urban traffic management that became a direct need for the society. Therefore, access to the upgraded information and yet available to process will be so important. The presented method in this paper is, separating and counting vehicles using satellite images based on programming technique of GUI in the MATLAB software. The carried out separation is directly proportional with the image quality, thus, by having a high resolution image we can separate the light and heavy, two-or three-axis load vehicles or even all vehicles according to the Scheme Regulations. It seems that human accuracy should be use in extraction of traffic data as an effective factor. Also the cost and time issues as a serious impediment to access this information indicates more need to this software.Keywords: Traffic Data Extraction, Satellite Images, Urban, Traffic Management, Image Processing, Separating, Counting Vehicles, MATLAB Software, GUI
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