Cost effective and Accurate Vehicle Make/Model Recognition method Using YoloV5

Large spot welder is an important equipment in rail transit equipment manufacturing industry, but having the problem of low utilization rate and low effectlvely machining rate. State monitoring can master its operating states real time and comprehensively, and providing data support for state recognition. Hidden Markov model is a state classification method, but it is sensitive to the initial model parameters and easy to trap into a local optima. Genetic algorithm is a global searching method; however, it is quite poor at hill climbing and also has the problem of premature convergence. In this paper, proposing the improved genetic algorithm, and combining improved genetic algorithm and hidden Markov model, a new method of state recognition method named improved genetic algorithm–hidden Markov model is proposed. In the proposed method, improved genetic algorithm is used for optimizing the initial parameters, and hidden Markov model as a classifier to recognize the operating states for machining process. This method is also compared with the other two recognition methods named adaptive genetic algorithm–hidden Markov model and hidden Markov model, in which adaptive genetic algorithm is similarly used for optimizing the initial parameters, however hidden Markov model (in both methods) as a classifier. Experimental results show that the proposed method is very effective, and the improved genetic algorithm–hidden Markov model recognition method is superior to the adaptive genetic algorithm–hidden Markov model and hidden Markov model recognition method.

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Factorial Hidden Markov Model Recognition Method Based on Multi-Channel Information Fusion

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.291-294.2027 ◽

2011 ◽

Vol 291-294 ◽

pp. 2027-2033

Author(s):

Zhi Nong Li ◽

Guan Hua Wu ◽

Jing Jiang ◽

Fu Zhou Feng

Keyword(s):

Markov Model ◽

Hidden Markov Model ◽

Information Fusion ◽

Hidden Markov ◽

Recognition Method ◽

Fault Recognition ◽

Channel Information ◽

Speed Up ◽

Som Neural Network ◽

Model Recognition

Combining Self-organizing Feature Map (SOM) and Factorial hidden Markov model (FHMM), a new FHMM fault recognition method based on multi-sensor vibration information fusion is proposed. In the proposed method, the SOM neural network is used to reduce the information redundancy in feature vectors extracted from the multi-sensor’s vibration measurements, FHMM as a classifier. The fault recognition in the speed-up and speed-down process of rotating machinery was successfully completed. The experiment result shows that the proposed method is very effective.

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3D CHARACTER MODEL RECOGNITION METHOD USING CARTOON IMAGE

JP Journal of Heat and Mass Transfer ◽

10.17654/hmsi119145 ◽

2019 ◽

pp. 145-152

Author(s):

Ruichen Jin ◽

Jongweon Kim

Keyword(s):

Recognition Method ◽

Model Recognition

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Factorial hidden Markov model recognition method based on blind dentification of nonlinear time series models

Journal of Mechanical Engineering ◽

10.3901/jme.2007.01.191 ◽

2007 ◽

Vol 43 (01) ◽

pp. 191 ◽

Cited By ~ 1

Author(s):

Zhinong LI

Keyword(s):

Time Series ◽

Markov Model ◽

Hidden Markov Model ◽

Hidden Markov ◽

Nonlinear Time Series ◽

Time Series Models ◽

Recognition Method ◽

Model Recognition

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An Efficient Vehicle Model Recognition Method

Journal of Software ◽

10.4304/jsw.8.8.1952-1959 ◽

2013 ◽

Vol 8 (8) ◽

Cited By ~ 2

Author(s):

Huihua Yang ◽

Lei Zhai ◽

Lingqiao Li ◽

Zhenbing Liu ◽

Yichen Luo ◽

...

Keyword(s):

Vehicle Model ◽

Recognition Method ◽

Model Recognition

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Vehicle Model Recognition Based on Fuzzy Pattern Recognition Method

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.383-390.4799 ◽

2011 ◽

Vol 383-390 ◽

pp. 4799-4802

Author(s):

Yi Qiang Wang ◽

Rui Jian Huang ◽

Tian Yi Xu ◽

Ke Hong Tang

Keyword(s):

Pattern Recognition ◽

Recognition Algorithm ◽

Good Effect ◽

Feature Points ◽

Recognition Method ◽

Fuzzy Pattern Recognition ◽

Fuzzy Pattern ◽

Characteristic Values ◽

Membership Matrix ◽

Model Recognition

The method based on the theory of Fuzzy Pattern Recognition is divided into three parts. Firstly, use Hough transformation to extract the feature points of vehicles, and use the ratio between two absolute distance of adjacent feature points as the characteristic values of vehicles; secondly, use Fuzzy C-mean Classification to handle feature data of 75 car model, then establish a degree of membership matrix as the sample space; thirdly, consider the classification algorithm based on fuzzy approach degree and the credibility of the vehicle feature to propose a weighted close- degree recognition algorithm. This recognition method has a good effect.

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The application of electron microscopy to diagnosis in gynecologic neoplasms and tumor-like conditions

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100110787 ◽

1984 ◽

Vol 42 ◽

pp. 102-105

Author(s):

Lawrence M. Roth

Keyword(s):

Electron Microscopy ◽

Reproductive Tract ◽

Malignant Tumors ◽

Frozen Section ◽

Cost Effective ◽

Female Reproductive Tract ◽

Ultrastructural Examination ◽

Specific Diagnosis ◽

Potential Value ◽

Gynecologic Neoplasms

The female reproductive tract may be the site of a wide variety of benign and malignant tumors, as well as non-neoplastic tumor-like conditions, most of which can be diagnosed by light microscopic examination including special stains and more recently immunoperoxidase techniques. Nevertheless there are situations where ultrastructural examination can contribute substantially to an accurate and specific diagnosis. It is my opinion that electron microscopy can be of greatest benefit and is most cost effective when applied in conjunction with other methodologies. Thus, I have developed an approach which has proved useful for me and may have benefit for others. In cases where it is deemed of potential value, glutaraldehyde-fixed material is obtained at the time of frozen section or otherwise at operation. Coordination with the gynecologic oncologist is required in the latter situation. This material is processed and blocked and is available if a future need arises.

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The IBM-PC in electron microscopy

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100165525 ◽

1996 ◽

Vol 54 ◽

pp. 612-613

Author(s):

James F. Mancuso

Keyword(s):

Head Start ◽

Image Acquisition ◽

Cost Effective ◽

Financial Applications ◽

Number Of Factors ◽

Instrument Control ◽

The Cost ◽

Training And Support ◽

Control Image ◽

Ibm Pc

IBM PC compatible computers are widely used in microscopy for applications ranging from control to image acquisition and analysis. The choice of IBM-PC based systems over competing computer platforms can be based on technical merit alone or on a number of factors relating to economics, availability of peripherals, management dictum, or simple personal preference.IBM-PC got a strong “head start” by first dominating clerical, document processing and financial applications. The use of these computers spilled into the laboratory where the DOS based IBM-PC replaced mini-computers. Compared to minicomputer, the PC provided a more for cost-effective platform for applications in numerical analysis, engineering and design, instrument control, image acquisition and image processing. In addition, the sitewide use of a common PC platform could reduce the cost of training and support services relative to cases where many different computer platforms were used. This could be especially true for the microscopists who must use computers in both the laboratory and the office.

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A Review of 21 iPad Applications for Augmentative and Alternative Communication Purposes

Perspectives on Augmentative and Alternative Communication ◽

10.1044/aac21.2.60 ◽

2012 ◽

Vol 21 (2) ◽

pp. 60-71 ◽

Cited By ~ 24

Author(s):

Ashley Alliano ◽

Kimberly Herriger ◽

Anthony D. Koutsoftas ◽

Theresa E. Bartolotta

Keyword(s):

Augmentative And Alternative Communication ◽

Cost Effective ◽

Alternative Form ◽

Alternative Communication ◽

Text To Speech ◽

Reference Guide ◽

Expressive Communication ◽

Communication Needs ◽

User Friendly ◽

Ipad Applications

Abstract Using the iPad tablet for Augmentative and Alternative Communication (AAC) purposes can facilitate many communicative needs, is cost-effective, and is socially acceptable. Many individuals with communication difficulties can use iPad applications (apps) to augment communication, provide an alternative form of communication, or target receptive and expressive language goals. In this paper, we will review a collection of iPad apps that can be used to address a variety of receptive and expressive communication needs. Based on recommendations from Gosnell, Costello, and Shane (2011), we describe the features of 21 apps that can serve as a reference guide for speech-language pathologists. We systematically identified 21 apps that use symbols only, symbols and text-to-speech, and text-to-speech only. We provide descriptions of the purpose of each app, along with the following feature descriptions: speech settings, representation, display, feedback features, rate enhancement, access, motor competencies, and cost. In this review, we describe these apps and how individuals with complex communication needs can use them for a variety of communication purposes and to target a variety of treatment goals. We present information in a user-friendly table format that clinicians can use as a reference guide.

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