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mixed programming Using VB and FORTRAN of Pipe Network for Heating and Air Condition Water System

2nd International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2012)

作者： Ning Huaiming Feng, Guo Luoyang Inst Sci & Technol Dept Civil Engn Luoyang 471023 Peoples R China

ISBN: (纸本)9783037854228

As the scale of the air conditioning system is constantly increasing, some problems still exist and remain to be solved in the chilled water system. Among them, the leading problems lie in the insufficient research of the overall character on the user side and lack of simualtion analysis. Corresponding calculating procedures are mixed programmed using VB and FORTRAN language to conduct to simulating analysis, to testify reliability and feasibility of the method.

关键词： Heating and Air Condition Pipe Network VB FORTRAN mixed programming

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两维符合能谱测量及数据处理

两维符合能谱测量及数据处理

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作者：秦慧超南华大学

学位级别：硕士

为了确定天然放射性核素（如铀和钍系列）对人类的影响,需要详细研究它们在环境中的行为,这些核素在地球各种自然机制对的重新分配下,在环境中具有很低的放射性,因此需要敏感的测量技术;另外,随着核技术的进步和发展,核事故、核试验和... 详细信息

为了确定天然放射性核素（如铀和钍系列）对人类的影响,需要详细研究它们在环境中的行为,这些核素在地球各种自然机制对的重新分配下,在环境中具有很低的放射性,因此需要敏感的测量技术;另外,随着核技术的进步和发展,核事故、核试验和核设施在正常运行中,会释放出各种人工放射性核素,这些核素也会参与大气、海洋等自然循环,传播到世界各地,并可能通过食物链,严重威胁人类的生命安全,但是人工放射性核素在自然环境中具有很低的浓度,因此也需要很灵敏的测量技术。一般的测量方法都是以单参数的能谱形式对样品进行测量,而利用符合法的两维（双参数）能谱分析技术,可以获取单参数测量系统不能获取的符合能谱,只记录被探测到的级联射线的计数,可以有效降低环境中其他核素的影响,提高测量系统的选择能力和敏感性。随着核科学技术的进步与电子技术的发展,使用软件的方式替代电子模拟模块的测量系统优越性逐渐得到体现。目前,两维符合能谱测量系统存在移植性较差,数据实时传输和处理困难等问题,因此本文研究了一种实现可移植、硬件设备通用的两维符合能谱测量方法,并依据该方法搭建两维符合能谱测量系统,通过实验测量验证其正确性。搭建了级联信号测量装置,并采用了高速A/D转换设备将模拟信号转换为数字信号;设计了数据处理方案,并利用LabVIEW和MATLAB混合编程技术开发数据处理软件,数据处理软件的主要由数据预处理VI（虚拟仪器）模块、谱数据获取与处理VI模块、符合事件甄别VI模块和两维符合能谱处理VI模块组成。将信号测量装置、A/D转换设备与数据处理程序结合在一起,组建了两维数字符合能谱分析与测量系统。测量60Co源（101906.5Bq,2019.11）验证数字符合算法,测量平均结果为101987.5Bq,十次测量的相对误差均在2%以内;使用两维符合分析的方法测量60Co（97597.6Bq,2020.3）源活度,验证两维能谱测量算法,五次测量活度均在2%以内,测量的平均结果为97547.7Bq,与一般的符合方法结果一致;测量标准液体镭源（4700Bq±3%,k=1）,选择能量609keV与1120keV的γ级联射线作为测量对象,符合计数率为0.67s-1,连续测量五次,测量结果相对误差均在5%以内;应用两维符合能谱分析方法分析和测量液体镭源,通过一维符合能谱投影一次测量,分析多种γ级联射线,符合计数率提高到1.877s-1,提升了2.84倍,连续测量五次,测量结果相对误差在5%以内。测量结果证明数据处理算法的正确性,实现了两维符合能谱测量,且该方法实现的两维符合能谱分析装置硬件全部使用通用设备,可以快速移植。

关键词： two-dimensional coincidence energy spectrum mixed programming virtual instrument

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Realization of Texture Synthesis Algorithm Based on mixed programming via COM

Realization of Texture Synthesis Algorithm Based on Mixed Pr...

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4th International Conference on Machine Vision (ICMV) - Machine Vision, Image Processing and Pattern Analysis

作者： Qin Rizhao Pu Yuanyuan Xu Dan Chen Hong Yunnan Univ Sch Informat Sci & Engn Kunming Peoples R China Yunnan Normal Univ Sch Educ Sci & Management Kunming Peoples R China

ISBN: (纸本)9780819490254

This paper analyzes the respective characteristics of VS2005 and MATLAB and their performances and introduces several methods of mixed programming. Then, the paper discusses the advantages and great applications of texture synthesis from sample (TSFS) and Image Quilting algorithm which is a typical algorithm of TSFS. Further, the paper realizes the Image Quilting algorithm by using mixed programming between VS2005 and MATLAB2007a via COM. We can perceive that mixed programming via COM that is used in developing texture synthesis program can not only speeds up its efficiency and reliability, but also strengthen the convenience of operation and visualization. Finally, the paper summarizes the relationship between texture synthesis parameters and synthesis effects from the experiment.

关键词： mixed programming TSFS Image Quilting algorithm COM VS2005 MATLAB2007a

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Research on Handwritten Alphabet Recognition System Based on Extreme Learning Machine 37

Research on Handwritten Alphabet Recognition System Based on...

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37th Chinese Control Conference (CCC)

作者： Song, Junlei Liu, Qi Tian, Shengnan Wei, Yi Jin, Fang Mo, Wenqin Dong, Kaifeng China Univ Geosci Sch Automat Wuhan 430074 Hubei Peoples R China Hubei Key Lab Adv Control & Intelligent Automat C Wuhan 430074 Hubei Peoples R China

ISBN: (纸本)9789881563958

Aiming at the problems of slow recognition, low efficiency and degree of automation in handwritten letter recognition system at present, a handwritten letter recognition system based on extreme learning machine is designed in this paper. The system is implemented by mixed programming with MATLAB and visual studio, it can reads, normalize, binarize and extract the handwritten letter images. The real-time interactive recognition of handwritten letters can be realized on the basis of training the simple pictures by using the identification model of the extreme learning machine algorithm. The experimental results show that the handwriting recognition system based on extreme learning machine designed in this paper can recognize 98.82% of handwritten letters and greatly reduce learning and testing time. Compared with BP neural network and other recognition algorithms, its training times have been reduced by hundreds or even thousands of times. At the same time, there is no manual intervention in the entire learning and testing process, which improves the automation of handwriting recognition.

关键词： Handwritten Letter Recognition Extreme Learning Machine Feature Extraction mixed programming

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Research on Handwritten Alphabet Recognition System Based on Extreme Learning Machine

Research on Handwritten Alphabet Recognition System Based on...

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第37届中国控制会议

作者： Junlei Song Qi Liu Shengnan Tian Yi Wei Fang Jin Wenqin Mo Kaifeng Dong School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Aiming at the problems of slow recognition,low efficiency and degree of automation in handwritten letter recognition system at present,a handwritten letter recognition system based on extreme learning machine is designed in this *** system is implemented by mixed programming with M ATLAB and visual studio,it can reads,normalize,binarize and extract the handwritten letter *** real-time interactive recognition of handwritten letters can be realized on the basis of training the simple pictures by using the identification model of the extreme learning machine *** experimental results show that the handwriting recognition system based on extreme learning machine designed in this paper can recognize 98.82%of handwritten letters and greatly reduce learning and testing *** with BP neural network and other recognition algorithms,its training times have been reduced by hundreds or even thousands of *** the same time,there is no manual intervention in the entire learning and testing process,which improves the automation of handwriting recognition.

关键词： Handwritten Letter Recognition Extreme Learning Machine Feature Extraction mixed programming

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mixed programming between MATLAB and Other programming Languages 1

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International Conference on Applied Informatics and Communication (ICAIC 2011)

作者： Jun, Wang Chen, Jianyun Yan, Zhuang Nanjing Univ Informat Sci & Technol Network Informat Ctr Nanjing Jiangsu Peoples R China Nanjing Univ Informat Sci & Technol Dept Comp Sci & Technol Nanjing Jiangsu Peoples R China

ISBN: (数字)9783642232206

ISBN: (纸本)9783642232190

The advantages and disadvantages about MATLAB are described in this paper. Several methods of mixed programming between MATLAB and other programming languages such as C#, FORTRAN, JAVA, DELPHI, VB and EXCEL are presented, including using COM Builder, MATLAB Compiler, MATLAB Engine, MATLAB Automation Server, Excel Link and other methods. Finally analysis and suggestions about the occasion adopting these methods are put forward.

关键词： MATLAB mixed programming C# COM Builder

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

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Journal of Central South University 2015年第2期22卷 560-566页

作者：张秀玲赵亮臧佳音樊红敏 Key Laboratory of Industrial Computer Control Engineering of Hebei Province (Yanshan University) National Engineering Research Center for Equipment and Technology of Cold Strip Rolling

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 Lab VIEW, MATLAB mixed programming. And virtual flatness pattern recognition interface is ***, 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.

关键词： pattern recognition T-S cloud inference network cloud model mixed programming virtual reality visual recognition

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Multi-Product Inventory-Routing Problem in the Supermarket Distribution Industry

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INTERNATIONAL JOURNAL OF FOOD ENGINEERING 2015年第6期11卷 747-766页

作者： Lagana, Demetrio Longo, Francesco Santoro, Francesco Univ Calabria Dept Mech Energy & Management Engn Ponte P Bucci 41C I-87036 Arcavacata Di Rende CS Italy

The Inventory Routing Problem (IRP) is an integrated logistic problem arising in several industries (e.g. petrochemical, grocery, soft drink and automotive). A vendor decides the optimal delivery strategy for a set of customers, taking into account their inventory policies and avoiding product stock-out in a finite and discrete time horizon. Delivery strategy includes the time and size of deliveries in order to minimize the total delivery cost. Most commonly studied are IRP real cases where a single homogeneous product with deterministic but time-varying demand is delivered over a finite time horizon. This paper is focused on an efficient methodology for industrial problems where a vendor resupplies a set of customers of heterogeneous products (as in the supermarket distribution industry). In this context, the paper reports on an effort facing the inventory routing problem for multi-category products per customer in conjunction with different inventory policies per category. The paper is motivated by real applications arising in the food engineering field. For instance, industries dealing with food's distribution to stores located in a given geographic area. The planning strategy is formulated as a linear model. The core of the decision problem consists in determining both the delivery route and the corresponding day of activation along the time horizon. A decomposition of the problem into two phases has been proposed. A suitable penalty cost modeled by simulating the possibility of having an early or delayed product delivery on the delivery day returned from the inventory model (e.g. Economic Order Quantity) is the key feature of the first phase. In the second phase, deliveries are scheduled on a daily basis by taking into account the time windows associated to each customer. This is accomplished by using a constructive heuristic algorithm for the vehicle routing problem with time windows. Computational results on some realistic instances are presented and discusse

关键词： inventory routing vehicle routing clustering mixed programming

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The Research of mixed programming Auto-Focus Based on Image Processing

The Research of Mixed Programming Auto-Focus Based on Image ...

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International Conference on Information Computing and Applications

作者： Zhang, Shuang Liu, Jin-hua Li, Shu Jin, Gang Qin, Yu-ping Xiao, Jing An, Tao Chinese Acad Sci Inst Optic & Elect Key Lab Beam Control Chengdu 610209 Peoples R China Grad Univ Chinese Acad Sci Beijing 100039 Peoples R China Sichuan Normal Univ Coll Math & Software Sci Chengdu 610068 Peoples R China Chinese Peoples Liberat Army Univ Mil Traff Tianjin 300190 Peoples R China Beijing Inst Oil Res Lab Oil Storage & Transportat Automat Beijing 102300 Peoples R China Xu Zhou AF Coll Xuzhou 221000 Peoples R China

ISBN: (纸本)9783642163357

Auto-focus technology is an important way to improve the accuracy of Indentation diameter measurement system, intelligent and automate. This article describes the use of image processing method to achieve the auto-focus technologies of indentation diameter measurement system, at its core is to choose an appropriate image clarity evaluation function. After studying a number of image clarity evaluation functions is proposed the image clarity evaluation function which based on the vector mode and improved DCT transform. Experiments show that the proposed algorithm has a good unimodality, accuracy, stability, reliability and rapidity. Finally using COM Component Technology-based Matlab and VB mixed programming to ensure that algorithms and software can be design.

关键词： Auto-focus measurement of indentation diameter sharpness evaluation function mixed programming

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Development of An Experimental Software for Rub-Impact Fault Recognition Research 27

Development of An Experimental Software for Rub-Impact Fault...

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27th Chinese Control and Decision Conference (CCDC)

作者： Lu, Yanjun Wan, Lihe Liu, Yi Shenyang Aerosp Univ Sch Automat Shenyang 110136 Peoples R China

ISBN: (纸本)9781479970162

Rotor and stator rubbing is a common fault of rotating machinery, for instance, aircraft engine, currently, numerous methods are presented to address the issues of Rub-impact fault. For the purpose of effective research for the different diagnosis methods, a experimental system for Rub-Impact fault diagnosis research is achieved in this paper, with the mixed programming of Matlab and VC++ applied. As an illustration, three methods, such as Linear-SVM, RBF-SVM and BP network, are embedded and the respective diagnosis results are analyzed. In addition, a brief introduction of mixed programming with Visual C ++ and MatLAB and the system architecture are given in this paper. The application of software platform gives the results that the system presented is practical and effective in fact.

关键词： rub-impact fault diagnosis simulation system mixed programming

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