Control valve position response identification by Matlab

Esmaeilani, Leili; Ghaisari, Jafar; Ahmadian, M.; Esmaeilani, Roya

doi:10.1109/i2mtc.2015.7151460

Cited by 5 publications

(4 citation statements)

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“…Relative frequencies of pixel values at level are given by. (6) Gray level threshold value divides the histogram of into two classes. Each class has its probability of occurrence (total probability of its samples) and own mean value.…”

Section: Image Differencingmentioning

confidence: 99%

“…These approaches excel in identifying conventional forms of tampering operations, and they are frequently employed to ascertain the authenticity of digital videos by employing techniques like video object detection, detection of double compression, identification of duplicated regions within video frames, identification of frame-based tampering, and the detection of double JPEG compression in images. [6]. The unstructured nature of user-generated media repositories, such as Ka-ZaA, gives rise to its unique challenges.…”

Section: Introductionmentioning

confidence: 99%

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Towards Video Pattern Recognition Method Based on the Classification of Copy-Right Videos Through Images

Saeed,

Shaikh,

Shakir

et al. 2024

Preprint

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Detecting copyright material and piracy, especially in videos, is a dedicated challenge in marketing, advertisement, and industry. The issue of video piracy has become increasingly significant. This paper introduces a video-based pattern recognition method that classifies a copyrighted video through images. More precisely, the research has concentrated on evaluating outcomes across various videos using diverse parameters. Although prior studies in this domain have primarily emphasized aspects like face recognition, finger detection, background subtraction, and various other techniques, the issue of identifying copyrighted material within videos has yet to receive much attention. This paper introduces a video-based pattern-matching technique, and multiple video sources have described a methodology for detecting copyrighted video frames. These videos may encompass advertisements or specialized journalistic content legally owned by their creators. Our technique enables matching these video clips with specific video streaming or files to ascertain whether they contain the entire or a portion of the original video. The given video clip comprises individual frames, and our approach facilitates a frame-to-frame (F2F) comparison with other live video streams to determine the extent of similarity between successive images. This proposed method holds considerable potential for monitoring and identifying instances of illegally broadcasted, copyrighted digital video content.

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Section: Image Differencingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Towards Video Pattern Recognition Method Based on the Classification of Copy-Right Videos Through Images

Saeed,

Shaikh,

Shakir

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The trend of data during the time is saved in a database in the monitoring system with an adjustable sampling time which is imported to MATLAB software for verification of the proposed method. The PCV actuation and monitoring system of this study is shown in Figure 3 [32].…”

Section: Case Study: Pressure Control Valvementioning

confidence: 99%

Hammerstein–Wiener identification of industrial plants: A pressure control valve case study

Esmaeilani

Ghaisari

Bagherzadeh

2020

IET Control Theory & Appl

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Hammerstein-Wiener (H-W) identification problem is investigated under practical considerations for industrial plants. The main consideration in these cases is inability to apply arbitrary input signals. An algorithm is proposed to identify H-W model for industrial systems, in the presence of noise and disturbance. The identification problem is changed into a constrained optimisation problem and is solved by minimising the non-linear functions modelling error. To improve the efficiency of the proposed method, the known information about non-linear functions are used. To make the proposed method applicable for general systems with hard non-linearities, non-linear functions are described by some ordered pairs. A pressure control valve that is used for anti-surge protection of an air compressor in the second refinery of South Pars Gas Complex is considered as the case study to demonstrate the effectiveness of the proposed algorithm. Seventy-five percent of the gathered data during the time is used for identification and the remaining 25% is used for verification of the resulted model. Verification of the obtained H-W model showed that accuracy of the identified model is more than 95%.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Entretanto, nem todos os fenômenos envolvidos no sistema podem ser considerados ou são fáceis de serem modelados. Assim, o procedimento para realizar-se uma modelagem caixa branca muitas das vezes se torna inviável, problema relatado em Shi et al (2019) e em Esmaeilani et al (2015) e contornado com auxílio de software por Zhang et al (2012). Em identificação caixa preta, por sua vez, nãoé necessária informação a priori das relações físicas presentes no sistema (Aguirre, 2015).…”

Section: Introductionunclassified

Modelagem e Identifiação Caixa Cinza Aplicadas a uma Válvula para Controle de Vazão

Moraes

Kienitz

2020

Anais Do Congresso Brasileiro De Automática 2020

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Neste artigo, apresenta-se um modelo matemático obtido por modelagem caixa branca e identificação caixa cinza para uma válvula de controle de vazão, um tipo de atuador usado recorrentemente na indústria de processo. Leis da física bem como o método de predição de erro são empregados para obtenção desse modelo. Para fins de validação do modelo, compara-se a resposta estimada com os dados experimentais. Espera-se conseguir um ajuste igual ou maior a 90% como resultado dessa comparação. Adicionalmente, compara-se o desempenho de dois métodos de minimização numérica que são utilizados para estimar os parâmetros do modelo.

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Control valve position response identification by Matlab

Cited by 5 publications

References 0 publications

Towards Video Pattern Recognition Method Based on the Classification of Copy-Right Videos Through Images

Towards Video Pattern Recognition Method Based on the Classification of Copy-Right Videos Through Images

Hammerstein–Wiener identification of industrial plants: A pressure control valve case study

Modelagem e Identifiação Caixa Cinza Aplicadas a uma Válvula para Controle de Vazão

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