MATLAB Graphical User Interface Research Articles

A collaborative hybrid approach for integrated tolerance allocation

ABSTRACT In concurrent engineering era, the collaboration between engineering and manufacturing is a vital condition for remaining competitive. For that, an interactive computer-aided design method is required for optimal tolerance allocation. In this regard, dimension transfer and tolerance allocation approaches serve as crucial tools for design engineers to reduce the total manufacturing cost of mechanical assembly as well as to ameliorate the product quality. This paper proposes an efficient collaborative hybrid tool for computer-aided integration to an optimal tolerance allocation based on a combination of unique transfer and difficulty coefficient evaluation. The tolerance allocation approach is based on manufacturing difficulty quantification using tools for the study and analysis of reliability of the design or the process, as the Failure Mode, Effects and Criticality Analysis and Ishikawa diagram. The proposed method is performed to produce allocated tolerances according to difficulty requirements to reach a mechanical assembly with high quality and low cost. To validate the proposed concepts and methods, an integrated tool is implemented using graphical user interface in MATLAB. Hence, an Integrated CAT tool for Dimension Transfer and Tolerance Allocation, named CAD_DT&TA, is proposed to expose various tolerance allocation approaches respecting functional and manufacturing requirements. Several examples can be executed using the proposed interface to highlight the benefits of the accomplished integrated tool. The results identify the real benefits of the innovative dimension transfer and tolerance allocation approach as reducing total cost and improving the quality of assembly product.

Automated desorption electrospray ionization two-dimensional tandem mass spectrometry: Instrumentation and software for high throughput analysis

Two-dimensional tandem mass spectrometry (2D-MS/MS) provides rapid unsupervised access to all product ions of all ionized precursor ions. In this study, desorption electrospray ionization is used to create ion populations from complex mixtures prior to the use of 2D MS/MS to characterize each sample in an array. Automated high-throughput examination of each sample in the array is achieved by integrating movement of the sample array with automated acquisition of data from each sample through a serial handshake procedure. Position control is achieved using an Arduino microprocessor, a RAMPS control board, two stepper motors, and a custom MATLAB graphical user interface. Data processing improvements to the 2D-MS/MS workflow included optimizing the contrast of the intensity distribution of individual precursor to product ion transitions in local regions of the 2D spectrum to enhance visual discrimination of peaks from the background. This study demonstrates the combination of several advanced capabilities for practical mass spectrometry including high throughput experiments on unmodified samples with unconstrained sample acquisition and fully automated instrumental control and data manipulation. These capabilities are demonstrated with several model mixtures spotted on a PTFE-coated substrate, where the total analysis time was 64 s. Details of the system and discussion of the system performance are provided.

Natural Gas Flaring Management System: A Novel Tool for Sustainable Gas Flaring Reduction in Nigeria

The use of hydrocarbon fuels increases with population growth and rising standards of living, and so does natural gas flaring. Natural gas flaring is both a waste of natural resources and a violation of Nigeria’s energy policy for sustainable development through natural gas conservation. However, it remains the most cost-efficient and effective associated natural gas (ANG) management option in developing countries such as Nigeria. The World Bank’s initiative to eliminate routine gas flaring by 2030 has increased the need to limit or eliminate routine gas flaring. Often, studies on natural gas utilisation techniques fail to consider the lack of practical tools that integrate economic, technical, and regulatory factors into a gas flaring management framework, and the intricacies of existing tools, which often come at the expense of simplicity to achieve real-time information output. This paper aims to establish a framework and ANG management tool to reduce regular gas flaring in Nigeria. This research established a management framework (using a flowchart decision tree) and models to provide a user-friendly ANG flaring tool (using a MATLAB graphical front end user interface with back-end ASPEN HYSYS thermodynamic models). This was combined with techno-economic models for liquefied natural gas, gas-to-methanol, and gas-to-wire ANG utilisation options. The tool was then tested with data obtained from Fields Y and X in the Niger Delta region of Nigeria. The results, considering both economic and technical factors, showed that the choice of liquefied natural gas for Field Y was best due to its proximity to the pipeline infrastructure and its cost-effectiveness, and the availability of a high-demand LNG market for that area. For Field X, gas-to-wire was best due to its proximity to the electrical grid and high electricity requirements for that area. Additional geographical profiles in West Africa and ANG utilisation alternatives were recommended for further investigation. This paper developed and validated a one-of-a-kind ANG flaring management tool that incorporates techno-economic analysis of selected ANG utilisation options to assist operators and investors in making more profitable investment decisions.

A MATLAB GUI for Engineering Education in the Undergraduate Laboratory

Physics and engineering combine various subjects and disciplines into one single umbrella. Technology and computer engineers working in electronic instrumentation aim at making measurements quickly, and accurately using skills and knowledge that they mainly acquired at university by means of hands-on lab experiments. Teaching undergraduate students about (1) computer interfacing, and (2) instrument control techniques for collecting and processing data to automate processes are subjects that seldom appear in their curriculum. A computational software package that allows rapid prototyping is MATLAB. In this paper, therefore, we describe a graphical user interface (GUI) developed for controlling commonly available undergraduate lab electronic test instruments. In addition, we move towards the digital signal processing, providing a teaching lesson for biomedical engineering students.

Abstract 13519: 4D Cardiac Magnetic Resonance Strain Associates With Mortality in Duchenne Muscular Dystrophy Associated Cardiomyopathy

Introduction: Cardiomyopathy (CM) is the leading cause of death in Duchenne muscular dystrophy (DMD) but the pace of CM progression is variable. Identification of biomarkers that associate with mortality could allow clinicians to intensify cardiac therapy. Our objective was to determine whether novel 4D (3D+time) cardiac magnetic resonance (CMR) strain analysis predicts mortality. We hypothesized that the magnitude of regional surface strain (E a ) would be significantly decreased in DMD patients that progressed to mortality within 5 years of analysis. Methods: Short axis cine CMR images for DMD survival (n=40) and non-survival (n=9) groups were compiled into 4D sequences. For all 4D sequences, epi- and endocardial borders were segmented across one cardiac cycle for kinematic analysis using a custom-built MATLAB graphical user interface (MathWorks, Natick, MA). Regional E a was measured by determining the relative change in the localized 4D endocardial surface mesh compared to end diastole. Unpaired t-test was used to determine statistical significance. Results: DMD survival patients were younger (13 years [8-24]; median [range]) than non-survival patients (16[12-19]) and a smaller portion had LVEF<55% (11 (28% of total) vs. 6 (67% of total). 63% (n=26) of the survival group had late gadolinium enhancement vs. 100% (n=9) in the non-survival group. Median time to mortality for the non-survival group was 27 months [8-58]. Peak E a was significantly worse in the non-survival group globally and in the basal, mid, and apical regions ( p <0.001 for all; Fig1C). Qualitative E a maps show dramatic differences between groups (Fig1A,B). Conclusion: Regional E a from 4D CMR in DMD was reduced in patients that progressed to mortality within 5 years compared to those that survived. Figure 1: Example colorized surface strain (E a ) from A) survival and B) non-survival patients in both polar map (left) and 3D representations (right). C) Regional E a differences between groups. * p <0.001.

A MATLAB GUI program for reservoir management to simultaneously optimise sediment release and power generation

Sedimentation affects the normal function of reservoirs and is a decisive factor in the reservoir's service life. Flushing sediment during reservoir operation is an effective non-engineering measure to alleviate reservoir sedimentation; however, lowering water level to discharge more flow conflicts with hydropower generation. In this study, reservoir management software is developed to simultaneously optimise sediment discharge and hydropower generation with the reservoir discharge as the decision variables. The sediment transport rate is calculated by an integral of the vertical distribution of suspended load concentration and flow velocity instead of empirical formulas. The model is solved by the most widely used multi-objective optimisation algorithm NSGA-II, resulting in the optimal schedule corresponding to the maximal sediment discharge and hydropower generation, which can be displayed graphically in the software. The software was developed in MATLAB with a Graphical User Interface (GUI) and applied to a large reservoir and can be generalised to other reservoirs. The results show that within the recommended discharge variation of 5%, the sediment release can be increased by 2.07 × 106 t as a reduction of per 1010 kW h in annual power generation. Compared with the original scheme, sediment release can be increased most by 3.31% at the cost of 0.03% loss of power generation. Moreover, the dual objective in the flood season was optimised by 7.30% and 3.92%, respectively.

A STUDY ON MATLAB GUI BY USING BINARY BASEBAND COMMUNICATION SYSTEM

This paper presents the MATLAB Graphical User Interface (GUI) mainly used in digital communication and electromagnetics. GUI is powerful tool which is available on MATLAB. It is basically used to design app, which can share live script with others via MATLAB Offline or Online. The MATLAB GUI used to design modules which results in simulation of baseband digital communication system and determines transmission of the Binary Phase Shift Keying signal (BPSK) amid Additive white Gaussian noise (AWGN) channel along with tone jamming background. To reduce the effect of jamming, digital notch filter at the receiver are used. The results of the simulated design modules shows the dissimilarities of the signal corresponding on every section of the communication system. A comparative analysis is done based on illustrated figure. This research also shows the observation and tests by using GUI requires less time as compared to command line interface (CLI) version.

Baby Crying Analyzing and Solution using MATLAB Graphical User Interface; Interdisciplinary Collaboration between Engineering and Nursing

Background: Babies can express all their needs (such as hunger, pain, tiredness, discomfort, and so on) to their parents with crying behavior that being able to predict these behaviors of babies correctly parents is extremely important for the comfort of babies. In recent years, analyzing the baby crying sound and interpreting it in line with the needs has been developing as an important process in the estimation of baby needs. Methods: Analyzing the spectra of the baby crying sound over time and amplitude period creates a significant knowledge base on the prediction of baby needs. Within the scope of this study, a new method has been developed for the development of various technical analyzes of a sample baby crying sound using the MATLAB program. Results: With this method, the energy fluctuations in the sample baby crying sound were analyzed, and the changes in the crying process were examined through the baby crying process. Conclusions: As a result, thanks to the analysis data obtained within the scope of this study, it is aimed to provide data to autonomous controlled baby care units that can be manufactured in future studies.

Low-Cost Portable ECG Monitoring Device for Inaccessible Areas in Pakistan

The need for a constant health monitoring system is essential especially for cardiovascular disease (CVD) that may cause sudden stroke or even death. In this paper, we present the design and development of a low-cost, efficient, and user-friendly portable Electrocardiography (ECG) monitoring device. Most of the existing heart rate measurement devices and tools available in underdeveloped countries like Pakistan are quite expensive, far to reach and inaccessible in most of the rural areas especially for the female population to reach the healthcare centers. Our proposed device monitors the patient’s body information using three lead-silver chloride ECG disposable electrodes and detects the pulse signal. The detected heart pulse signal is first filtered and then amplified. The device can display the heart signal on an external PC/laptop Graphical User Interface (GUI) and the digitized pulse rate on a Liquid Crystal Display or (LCD) to detect any signs of abnormality. We have evaluated the device on several trial subjects. Finally, the results were compared with the standard ECG signal. Our device measures the pulse signal with good accuracy like commercial devices with higher costs.

Optimal design of dome structures with recently developed algorithm: Rao series

The modal parameters such as natural frequencies and mode shapes of structures are vital parameters that must be within the certain limits to ensure the desired structural behavior. Optimization of any type of structures regarding natural frequencies as constraints is considered as highly nonlinear and reaching the global solutions is very difficult. Furthermore, optimum design of small, medium and large-scale domes is known as a complicated optimization problem. In this study, the size optimization of the small, medium and large-scale truss dome structures subjected to multiple dynamic frequency constraints by using newly developed meta-heuristic algorithms named Rao algorithms (Rao-1, Rao-2 and Rao-3) is presented. The cross-sectional areas for the truss bar members of dome structures and first five natural frequencies are considered as the design variables and multiple dynamic constraints, respectively. To perform the optimization process of dome structures, a visual computer program is created in Matlab–GUI (Graphical User Interface). This program has combined the Rao algorithms and the finite element analysis using Eigen values of the stiffness matrix. Three different sizes such as small, medium and large-scale dome are examined to show the performance of the Rao algorithms. The examples for the small, medium and large-scale domes contain 120 bar, 600 bar, 1180 bar and1410 bar dome structures. The obtained near-optimal results are compared with the available results found in the literature to indicate the performance of the Rao algorithms. At the end of the study, it is concluded that the Rao algorithms performed similar to other methods and even better in some cases for designing the dome structures. Furthermore, Rao-2 algorithm has achieved the best results in the least number of generations compared to the Rao-1 algorithm.

GEOSTAT application design for rapid determination of MATLAB-based earthquake risk level

In order to support the rapid determination, assessment and research of a major earthquake event that occurs in an area, a fast, simple and easy application is needed to calculate the level of earthquake risk.The GEOSTAT Application is an application created using the MATLAB program. The GEOSTAT Application can be used to calculate the level of earthquake risk using the Gutenberg and Richter equations which are solved by the least squares method and the maximum likelihood method. This application is designed and built using the MATLAB Graphical User Interface Development (GUIDE) which is created and compiled in a pure script. The GEOSTAT Application can help users calculate the level of earthquake risk quickly and easily which is usually calculated manually. In addition, The GEOSTAT Application provides early warning information related to the analysis of the level of earthquake disaster risk.The GEOSTAT Application can be installed on the user’s device and has good performance so that it can assist users in calculating the level of earthquake risk quickly and easily.

Oscillatory Loading Can Alter the Velocity Dependence of Ice‐on‐Rock Friction

AbstractRate and state frictional parameters are typically determined using two types of experimental protocols: velocity steps and slide‐hold‐slide events. Here we take a new approach by examining the frictional response to controlled, harmonic oscillations in load point velocity. We present a Matlab graphical user interface software package, called RSFitOSC, that allows users to easily determine frictional parameters by fitting oscillation events using the rate and state friction equations. We apply our new methods to a set of ice‐rock friction experiments conducted over a temperature range of −16.4°C to −2°C, and described in a companion paper: McCarthy et al. (2021, https://doi.org/10.1002/essoar.10509831.110.1002/essoar.10509831.1). Values of the frictional stability parameter (a–b) determined from oscillations reveal dominantly velocity‐weakening behavior across the entire range of experimental conditions. However, values of (a–b) determined from velocity steps in the same experiments yield velocity‐strengthening behavior. We also show that the elastic stiffness of the ice‐rock system depends on the temperature, and is unlikely to be explained by changes in the elastic properties of ice. Load point velocity oscillations induce oscillations in applied shear stress. Many natural fault systems exhibit slip behaviors that depend on harmonic oscillations in applied tidal stresses. Our new method provides a way to study how frictional properties directly depend on parameters relevant to tidal forcing, and how oscillatory loading must be considered when extracting friction parameters.

Raspberry Pi Design and Hardware Implementation of Fuzzy-PI Controller for Three-Phase Grid-Connected Inverter

A photovoltaic system is one of the major sources of renewable energy. The grid-connected inverter controllers play an important role in the conversion and transmission of solar energy. Therefore, they must be improved to meet the demands for grid interconnection. This article introduces the design and hardware implementation of the intelligent fuzzy-PI controller of the inverter part of the grid-connected photovoltaic system. First, the paper discusses the design of the three-phase grid-connected fuzzy-PI controller. Next, the paper describes the implementation of a Matlab graphical user interface (GUI) to design any grid-connected inverter and size the photovoltaic systems. The code generation of the fuzzy-PI controller of the system is accomplished by using Matlab Simulink simulation software. The hardware components of the PV system are implemented experimentally. In the hardware implementation, a 70 W prototype is realized to test the functionality of the controller, such that one can develop a realistic controller without taking risks or falling into security concerns in the case of performing experiments on high-power systems. The prototype proves that the controller model can be directly transformed from Simulink to the control device. It also shows that the fuzzy-PI controller is working properly in the 70-watt prototype. The achieved performance parameters of the proposed fuzzy-PI controller are satisfactory. The proposed method to design and implement the fuzzy-PI controller does not require complicated programming, where a Matlab coder is proposed to transform the Simulink controller into C code that can be directly utilized as a software control program loaded in the microcontrollers embedded in the hardware of the controller. The main result is that the fuzzy-PI controller for the three-phase grid-connected systems can be implemented using low-cost reconfigurable microcontrollers.

Optimization of ultrasound-assisted extraction of phenolic-saponin content from Carthamus caeruleus L. rhizome and predictive model based on support vector regression optimized by dragonfly algorithm

Box-Behnken design and support vector regression optimized using dragonfly algorithm as chemometrics techniques were employed to optimize and predict total phenolic (TPC) and saponin content (TSC) from Carthamus caeruleus L. rhizome using ultrasound-assisted extraction. Moreover, the comparative study of the antioxidant activity of rhizomes and leaves parts was also performed using different assays including scavenging free radical (ABTS•, DPPH•) activity, FRAP, and phosphomolybdenum assays. The results confirmed that the Box-Behnken design was achieved and the optimal conditions for the recovery of maximum TPC and TSC were obtained with 87.66 % methanol concentration, a solvent to solid ratio of 23 mL.g−1, a temperature of 50 ​°C, and 26 ​min sonication time. The established SVR-DA model has been successfully predicted the extraction of TPC and TSC from C. caeruleus L. rhizome with a higher R2 ​= ​0.99 and low error. Matlab graphical user interface of optimized SVR-DA model was developed to predict TPC and TSC that could be used in pharmaceutical purposes. Furthermore, the optimal extract of rhizome and leaves extract showed high capacity of antioxidants, thus the C. caeruleus L. can be a promising candidate for the cosmetic and pharmaceutical industry.

A chemometric strategy to automatically screen selected ion monitoring ions for gas chromatography–mass spectrometry-based pseudotargeted metabolomics

The pseudotargeted metabolomics based on gas chromatography–mass spectrometry (GC–MS) has the advantage of filtering out artifacts originating from sample treatment and accurately quantifying underlying compounds in the analyzed samples. However, this technique faces the problem of selecting high-quality selective ions for performing selected ion monitoring (SIM) on instruments. In this work, we proposed AntDAS-SIMOpt, an automatic untargeted strategy for SIM ion optimization that was accomplished on the basis of an experimental design combined with advanced chemometric algorithms. First, a group of diluted quality control samples was used to screen underlying compounds in samples automatically. Ions in each of the resolved mass spectrum were then evaluated by using the developed algorithms to identify the SIM ion. A Matlab graphical user interface (GUI) was designed to facilitate routine analysis, which can be obtained from http://www.pmdb.org.cn/antdassimopt. The performance of the developed strategy was comprehensively investigated by using standard and complex plant datasets. Results indicated that AntDAS-SIMOpt may be useful for GC–MS-based metabolomics.

Energy Analysis Using Matlab Graphical User Interface of Cement Rotary Kiln for Alburge Cement Plant: A Case Study

Cement manufacture has been one of the most energy intensive industries in the world. In order to produce clinker, rotary kilns are widely utilized in cement plants. This work deals with the energy analysis of a rotary kiln system working in a cement plant in Alburge Cement Plant (ACP), at Arab Union Cement Company (AUCC), Zliten city, Libya. The kiln has a capability of producing 4200 ton-clinker per day. The main objective of this study is to examine heat loss of various components of the rotary kiln system. In the present study, a Matlab program with a graphical user interface (GUI) has been used for energy auditing of ACP as a case study. The GUI inputs and outputs showed through the paper as an interface widows. Result shows that 30% of the total energy is being lost. An amount of 20.54% missed through hot flue gas, 5.25% across cooler stack, and 4.56% by kiln shell convection plus radiation

Parameter uncertainty modeling of safety instrumented systems

In this study, a novel safety integrity level (SIL) determination methodology of safety instrumented systems (SISs) with parameter uncertainty is proposed by combining multistage dynamic Bayesian networks (DBNs) and Monte Carlo simulation. A multistage DBN model for SIL determination with multiple redundant cells is established. The models of function inspection test interval and function inspection test stages are alternately connected to form the multistage DBNs. The redundant cells can have different M out of N voting system architectures. An automatic modeling of conditional probability between nodes is developed. The SIL determination of SISs with parameter uncertainty is constructed by using the multistage DBNs and Monte Carlo simulation. A high-pressure SIS in the export of oil wellplatform is adopted to demonstrate the application of the proposed approach. The SIL and availability of the SIS and its subsystems are obtained. The influence of single subsystem on the SIL and availability of the SIS is studied. The influence of single redundant element on the SIL and availability of the subsystem is analyzed. A user-friendly SIL determination software with parameter uncertainty is developed on MATLAB graphical user interface.

Implementation of a Wavefront-Sensing Algorithm with Two-Channel Moiré Deflectometry and Matlab Graphic User Interface

Implementation of a Wavefront-Sensing Algorithm with Two-Channel Moiré Deflectometry and Matlab Graphic User Interface

New Fuzzy-AHP Matlab based graphical user interface (GUI) for a broad range of users: Sample applications in the environmental field

Fuzzy-AHP (analytical hierarchy process) is a powerful method for dealing with subjective information. This popular hybrid approach is widely applied in medical and health science, and industrial management, mainly agriculture and environmental sciences. However, it is a complex, time-consuming method, which has induced us to try and optimize the decision-support system process. We create the Fuzzy-AHP algorithm and program in Matlab software, and convert it with the Matlab based graphical user interface (GUI) application. This is a new desktop tool with a wide selection of applications to help decision-makers prioritize choices and/or criteria goals based on expert judgments imported from Excel and a number of criteria. The new technique is designed to allow experts to fill the matrix judgment from both sides depending on the importance of criteria selection. Also, an optional alpha index to define stable or unstable conditions was requested for advanced users. The application was tested and applied in forest recreation and agroforestry case studies. The user-friendly Fuzzy-AHP Matlab GUI facilitates the process analysis speedily and offers an innovative way of enhancing the uncertainty to find the best compromise among experts. The tool is useful for optimizing the decision-support system process in many different fields.

Analysis of the electronic circuits of 11 W and 15 W compact fluorescent lamps


 
 
 The introduction of electronic ballast in lighting systems design has dramatically revolutionized the lighting space. This is orchestrated by the entrance of the Compact Fluorescent Lamps (CFLs) and Light Emitting Diodes (LEDs) into the lighting market. The CFLs currently being used in domestic and industrial lighting systems provide highly competitive alternatives to conventional incandescent lamps. The electronic ballast incorporated into the CFLs helps eliminate the flickering and slow starting flaws prevalent in traditional fluorescent lamps. To properly evaluate the performance characteristics and limitations of the CFLs, a critical analysis of its electronic circuit becomes imperative. To this end, this paper presents experimental and simulation analyses of the CFL circuits. To achieve this, two Futina CFL bulbs of 11W and 15W model YPZ220/11-BMSP RR/RDD and YPZ220/15-BMSP RR/RDD, respectively, were analyzed and experimentally verified. A function-based programming paradigm was applied to develop a graphical user interface (GUI) used for the circuits analyses. The GUI is designed using MATLAB graphical user interface development environment (GUIDE). Experiments were conducted to obtain the performance characteristics of the CFLs, and measurements show that the 11W lamp has a higher amplitude than the 15W lamp. However, both lamps show similar waveforms after 300 seconds. The maximum voltage amplitudes for both CFLs are the same, with a peak value of 218V. The current waveforms in the spectral domain gave a maximum amplitude of 0.3 A for the 11W CFL and 0.2 A for the 15W. The voltage frequency (0.00196) of both CFLs are the same, whereas the current frequencies are different. This indicates that the wattage of a CFL does not affect the frequency of its voltage waveform. The frequency of the 11W CFL current (0.00157) is higher than that of the 15W CFL current (0.00784). This implies that the higher the CFL wattage, the lower the frequency of its current waveform. Additionally, simulation results revealed that the key difference between the CFLs is the current total harmonic distortion (THDI), which increases with an increasing rated power of the CFL or the aggregation of a number of the smaller rated CFLs.