SYSTEM IDENTIFICATION USING MICROCONTROLLER-BASED N-PRBS GENERATOR

SYSTEM IDENTIFICATION USING MICROCONTROLLER-BASED N-PRBS GENERATOR

System identification is dealing with dedicated experimental data to find a compact and accurate mathematical model of a dynamic system. The main goal of this paper is to present the system identification technique to yield a good transfer function of the actual plant. The steps start with hardware setup, data collection, model estimation, and eventually model validation. Based on input and output data of the system, best fit criterion, and correlation analysis of the residual is utilized to ...

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Identification and validation of Outer membrane protein (OMP) P6 3D structure and its topology in Haemophilus influenzae

Identification and validation of Outer membrane protein (OMP) P6 3D structure and its topology in Haemophilus influenzae

Haemophilus influenzae is a common human respiratory tract pathogen, causing disease in both children and adults. The bacterium is an important cause of otitis media, the most common reason for children to receive antibiotic therapy. Outer membrane protein P6 is a member of the class of outer membrane proteins known as peptidoglycan-associated lipoproteins. First discovered in the mid-1980s, P6 is a promising vaccine antigen that has been the subject of extensive study. P6 has several features ...

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Identification of non-skin areas in images using neural networks

Identification of non-skin areas in images using neural networks

Nowadays, the classification of human skin as a preprocessor has been proposed in the majority of processing systems on different parts of the human skin, such as face detection, face tracking and content-based retrieval of images, pornography videos and human-computer interface systems (HCI). One main challenge to this area is the diversity of color skin in different races, the existence of skin-like areas in imaging scene, illumination intensity changes and noise in image. In this design, the ...

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Adaptive magnitude spectrum algorithm for Hilbert–Huang transform based frequency identification

Adaptive magnitude spectrum algorithm for Hilbert–Huang transform based frequency identification

An innovative Hilbert ndash;Huang transform (HHT) based frequency identification approach designated as adaptive magnitude spectrum algorithm(AMSA) is proposed in this paper. Characterized by the a posteriori property, the AMSA does not need the a priori information about the modalfrequencies to be identified, and the situations that a modal frequency may be contained along specific segments of the whole time duration ofone or more intrinsic mode functions (IMFs) are allowed for automatically ...

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Damage index matrix: a novel damage identification method using Hilbert-Huang Transformation

Damage index matrix: a novel damage identification method using Hilbert-Huang Transformation

As novel construction materials become more economically and technically available throughout theglobe, the structures become more complex. Therefore, an unexpected failure of these structures causescatastrophic economical and fatal losses. Over the past decades, a number of vibration based damagedetection techniques have been developed to avoid unexpected failure in structures. These damagedetection methods identify presence, location and magnitude of developed damage in the ...

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Radio Frequency Identification

Radio Frequency Identification

عنوان تحقیق:Radio Frequency Identification قالب بندی: WORD تعداد صفحات: 32 قسمتی از متن: از طریق زیر ساخت اینترنت می توان به منابع بسیار متنوع و گسترده ای از اطلاعات دسترسی داشت. اما اینکه چگونه اطلاعات را جمع آوری و ثبت نماییم، همچنان یک معضل بزرگ است. در بسیاری از موارد، اطلاعات به صورت ...

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