MATLAB Mixed Programming Research Articles

Implementing the Distribution and Application of EMD Algorithm Based on TRIZ Theory

The problems of long delay and accuracy were caused by the process of developing mechanical fault diagnosis systems using different tools. This article aims to give a reasonable solution to this contradiction by introducing TRIZ theory. This program uses LabVIEW as the development environment, EMD as the algorithm core, TRIZ theory as the development basis. The EMD algorithm is implemented by embedding different methods to decompose the fault signal so as to achieve the fault diagnosis signal in the same mechanical fault diagnosis system that can be decomposed efficiently. During the test machine fault signal pre-processing phase, which takes LabVIEW secondary development of EMD as the core data analysis, the accurate measurement phase is to take LabVIEW and MATLAB mixed programming EMD data analysis. Through such a development process arrangement, a core and two arrangements can be implemented to effectively resolve technical conflicts and provide a new idea.

Brain-Machine Interface Training System of Motor Imagery Based on Virtual Reality

This paper aims to study the brain-computer interface (BCI) training system for motor imagery (MI) based on virtual reality. In this paper, the MI-BCI software was designed and implemented by using C# and MATLAB mixed programming method, besides, three types of EEG signal pre-processing algorithms, five feature extraction algorithms, and two classification recognition algorithms were integrated to provide off-line analysis, on-line analysis, and adaptive algorithm selection. The results show that by automatically selecting the optimal combination of algorithms for the subjects, the integration degree between the BCI system and the subjects, and the universality of the BCI system are improved. The test objects can all complete the roaming test by constantly adjusting their state of mind under the feedback of virtual reality. The designed training system in this paper can improve the MI ability of subjects.

Knowledge network system based on hybrid production process of iron and steel

Iron and steel production process is a hybrid production process. The production schedule and production scheduling are out of control and disorder due to the 'asynchronous' connection of the production processes, which is difficult to solve in production management. This paper analyses the production mode of the hybrid flow enterprise, constructs the integrated control model and the knowledge network system model of the steel production process. By using network design and C# and Matlab mixed programming technology, a prototype of knowledge network system for steel production hybrid process based on B/S three tier architecture mode is implemented, and its effectiveness is verified by case simulation.

Development of online detection system for natural frequency of brake discs based on the improved least squares complex frequency domain method

This paper firstly introduced the theory and implementation of the least squares complex frequency domain (LSCF) method based on the truncated singular value decomposition (SVD) for noise reduction. The simulation results of signals with different signal noise ratios (SNR) show that this algorithm is stable and has excellent capacity of resisting noise disturbance. On this basis, an online detection system for natural frequency of brake discs is developed. This system takes the LAN-XI date acquisition module and LABSHOP software of B&K as platform and uses Visual Basic (VB) and MATLAB mixed programming technique for its secondary development. The LSCF method based on the truncated SVD is applied for curve fitting and modal parameter extracting. The qualified criterion is that the stably appearing natural frequencies are in the tolerance ranges. The practical application shows that this system intuitively and accurately displays the detection results and performs stably and efficiently.

Visualization of flatness pattern recognition based on T-S cloud inference network

Flatness pattern recognition is the key of the flatness control. The accuracy of the present flatness pattern recognition is limited and the shape defects cannot be reflected intuitively. In order to improve it, a novel method via T-S cloud inference network optimized by genetic algorithm (GA) is proposed. T-S cloud inference network is constructed with T-S fuzzy neural network and the cloud model. So, the rapid of fuzzy logic and the uncertainty of cloud model for processing data are both taken into account. What’s more, GA possesses good parallel design structure and global optimization characteristics. Compared with the simulation recognition results of traditional BP Algorithm, GA is more accurate and effective. Moreover, virtual reality technology is introduced into the field of shape control by LabVIEW, MATLAB mixed programming. And virtual flatness pattern recognition interface is designed. Therefore, the data of engineering analysis and the actual model are combined with each other, and the shape defects could be seen more lively and intuitively.

Computerized Simulation of the Double Circular Arc Spiral Bevel Gear Meshing

The authors propose approaches for computerized simulation of meshing of DCAPSBG (double circular-arc profile spiral bevel gear). Algorithms for TCA (Tooth Contact Analysis) computer programs were proposed. This paper presented the key contents and method of TCA computer programming. TCA is an effective tool for meshing analysis of the DCAPSBG, and it is the basis of load tooth contact analysis and finite element analysis. The proposed approach is based on the tooth profile characteristic of the DCAPSBG and developed by Visual Basic and MATLAB mixed programming method. In addition, this paper made TCA analysis and contact area check experiment on gear meshing, and the program had been verified by real examples. This provided an effective approach for the design of DCAPSBG.

Mixed Programming Realization of the EMD-WVD Combined Method

Winger-Ville Distribution (WVD) possesses high time-frequency concentration and resolutions, but brings serious cross-terms in process of a multi-component signal to distort greatly the result of time-frequency analysis. Because of this the use of the WVD is limited for many applications. In this paper a combined method is proposed: Empirical Mode Decomposition (EMD) is first used to decompose the original signal into a series of Intrinsic Mode Functions (IMFs), then false IMFs among them are eliminated according to the correlation coefficients between each IMF and the original signal, WVD is utilized to analyze the remanent IMFs, finally each WVD is added linearly with together to reconstruct the whole WVDs of the original signal. In order to carry out and validate the combined method, a time-frequency analytic system is designed and realized by using MATLAB and Delphi mixed programming based on COM (Component Object Model) module technology. This system is used to perform vibration signal time-frequency analysis of a grinding machine. The analytic results show validity of the combinedl method and success of the mixed programming. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2360

Design of Bamboo Strip Detection System Based on Labview and Matlab Mixed Programming

According to the domestic situation that bamboo strip detection technology is artificial intervention and low automation, the novel automatic bamboo strip detection system is designed based on Labview and Matlab mixed programming. The real-time detection on bamboo surface defects is realized in the system such as serious damage, stripe, scratch, large area dim. Moreover, the system provides more than 92% detection accuracy and eight strips per second detection rate, both of which can meet the accuracy requirement of practical production. In general, this paper provides a new kind of method for detection system.

A Vehicle License Plate Location Method Based on the Mixed Programming between VC++ and Matlab

The location of vehicle license plate is the important component of realization intelligent traffic system.While programming locaton of car license plate.Visual C++ language,a software development platform,is widely used.Matlab Compiler language is simple and easy to use and has strong ability of Graphics processing. Accordingly ,This paper presents a new method based on the Visual C++ and Matlab mixed programming of image processing,Image processing for vehicle license plate. And introduced the way to achieve application of this method in the image processing.Experimental evidence,this method has great application value.

Optimization of Two-Stage Cylindrical Gear Reducer with Adaptive Boundary Constraints

An optimization mathematical model for designing two-stage cylindrical gear reducer is firstly constructed based upon the drive principles and design criteria of cylindrical gear transmission. Then some techniques for calculating the key performance parameters, such as profile factor and dynamic load coefficient, etc., and revising the corresponding boundary constraints dynamically during the optimization process are researched and implemented. Finally, dedicated interactive optimization design software is developed based on VC++/MATLAB mixed programming. Compared with the conventional optimization methods with fixed performance parameter, the proposed method can accurately calculate all the key parameters and revise the corresponding constraint functions adaptively in each iteration step. Optimization examples illustrate that the proposed gear optimization method is more effective and reasonable.

The Application of Neural Network Technology in Electronic Commerce Evaluation System

Customer relationship management data mining are introduced In this paper. BP neural network is used in intelligent business-to-customer relationship evaluation. The customer relationship evaluation model is built based on the evaluation index system, which can train data samples and then obtain evaluation results. This paper also describes analysis of a customer relationship evaluation system based on neural network technology that is implemented using ASP.NET 2.0, SQL Server 2005 and MATLAB, conceptual design of the system, and implementation of the system. It is worth mentioning that the system has solved the MATLAB mixed programming problem, which promote the programming development of MATLAB application. With the increasing popularity of e-commerce technology, customer relationship management (CRM) is increasingly becoming the wide attention and research focus in business community and academic world. Customers have become one of the most important and valuable intangible assets in a modern enterprise. Customer retention is an important issue in the research and practice of customer relationship management (1). In order to achieve customer retention effectively, the accurate customer relationship evaluation is especially important, which will help the enterprises carry out better targeted customer marketing decision-making management. Evaluating customer relationship effectively is the prerequisite and guarantee to customer relationship management goals. Evaluation methods like K- means, fuzzy analytic hierarchy process were used before. But the complexity of customer relationship evaluation being affected by various factors shows non-linear characteristics, which makes it difficult to meet evaluation requirements fully using general mathematical methods. Fuzzy analytic hierarchy process can solve the problem about the weight of evaluation index system, but human subjective factors and decisions affected the evaluation and customer relationship data stored in the databases with information technologies being widely used in enterprises can not be leveraged effectively. The data mining technology can effectively deal with the problem of obtaining useful information from the vast amounts of information. The information-processing capacity of non-linear and adaptive features of BP neural network in data mining technologies overcome the shortcomings of traditional methods to better simulate a variety of factors influencing on the evaluation complexly, which is advantage and feasible. This paper aims at customer relationship evaluation based on BP neural network, and develops an e-commerce customer relationship evaluation system based on Web. MATLAB neural network toolbox components are also embedded in the system. The customer relationship in a restaurant as a case is studied to implement a valid evaluation of customer relationship.

TCA Principe and Application of the Double Circular Arc Tooth Spiral Bevel Gear

Tooth contact analysis (TCA) is an effective tool for meshing analysis of the double circular arc profile spiral bevel gear (DCAPSBG), and it is the basis of loading tooth contact analysis and finite element analysis. The TCA application is developed by Visual Basic and MATLAB mixed programming method, this paper compared the results of the TCA application analysis with the results of contact area check experiment on one pair of gears with given parameters. The TCA application had been verified by real experiment, this provided an effective approach for the design of DCAPSBG.

VC++ and MATLAB-Based Interactive Filter Design

Filter designing is a work that most electronics engineers often do. In order to avoid editing cumbersome and duplicate MATLAB program every time when design a filter, now we design a filter designing software based on hybrid programming of VC++ and MATLAB. Users only need to enter the performance index; you can get to meet the requirements of the filter amplitude-frequency curve, phase-frequency curve, and the coefficients of the numerator and denominator polynomial of transfer function to achieve the filter design. Engine is implemented by VC++ and MATLAB mixed programming, making the interface friendly and program simple.