ANN for English Alphabet Prediction

Abstract: In this paper an Artificial Neural Network (ANN) model, for predicting the Letters from twenty dissimilar fonts for each letter. The character images were, initially, based on twenty dissimilar fonts and each letter inside these twenty fonts was arbitrarily distorted to yield a file of 20,000 distinctive stimuli. Every stimulus was transformed into 16 simple numerical attributes (arithmetical moments and edge amounts) which were then ascended to be suitable into a range of numeral values from 0 to 15. We naturally chose, arbitrarily, 1,000 distinctive stimuli for this research. We made certain that the scattering remnants the similar after selecting the one thousand stimuli. In this research, a neural network tool (Just NN) was used for the purpose of predicting to classify every of a huge number of black and white four-sided pixel displays as one of the 26 capital letters in the English language

Evolution of Microcontroller-based Remote Monitoring System Applications

This study reviews the evolution of smart applications of microcontroller-based wireless/wired remote monitoring systems. Rapid developments in science and technology offer the advantages of using integrated embedded chips, microprocessors, and microcontrollers. The use of microcontrollers in industrial processes, such as automobiles, aeronautics, space, robotics, electronics, defense applications, mobile communications, rail transport, and medical applications, is rapidly increasing. This study aims to review the progress of microcomputers in smart remote monitoring and controlling applications for the control and management of different systems using wireless/wired technique

An approximation of a multivariative stochastic model for the analysis of longitudinal data

We propose to approximate a model for multivariate repeated measures that incorporated random effects, correlated stochastic process and measurements error. The model is generalization for univariate longitudinal data given by Taylor et al. (1994). The stochastic process used in this paper is the multivariate Integrated Omstein-Uhlenbeck (IOU) process. We consider a Bayesian approach which is motivated by the complexity of the model, thus, we propose to approximate the IOU stochastic process in a simple way that will mitigate the necessity to invert the stochastic process covariance matrix separately for each group at each iteration of the Markov Chain Monte Carlo (MCMC) sampler. The proposed method is illustrated by application to the melanoma data set

Analytical hierarchy process decision support system (AHP-DSS) for trenchless technology

[abstract not available]https://fount.aucegypt.edu/faculty_book_chapters/1384/thumbnail.jp

Commutation Time Estimator For PM BLDC Motor Torque Signature Enhancement

This paper presents the development of the commutation time estimator (CTE) for PM BLDC motor drives. The proposed scheme is aimed to enhance motor output torque by minimizing the generated torque ripples. The torque ripples originating from commutation instances cause spikes and dips in the motor output torque. The motor output torque could be enhanced by mitigating the phase current mismatch rate during phase current commutation period. This rate could be almost matched by introducing the commutation time estimator (CTE) in order to control the rate of the energized phase current to be matched with the de-energized phase rate. Results obtained have validated and verified the proposed CTE effectiveness with a 50% average reduction of the generated torque ripples in PM BLDC motor

Isolation and fatty acid profile of selected microalgae strains from the Red Sea for biofuel production

The isolation of lipid-rich autochthonous strains of microalgae is a crucial stage for the development of a microalgae-based biofuel production plant, as these microalgae already have the necessary adaptations to withstand competition, predation and the temperatures observed at each production site. This is particularly important in extreme climates such as in Saudi Arabia. Resorting to fluorescence activated cell sorting (FACS) we screened for and isolated several microalgal strains from samples collected from the Red Sea. Relying on the fluorescence of BODIPY 505/515 (4,4-difluoro-1,3,5,7-tetramethyl-4-bora-3a,4a-diazasindacene) and growth performance, four promising candidates were identified and the total lipid content and fatty acid profile was assessed for biofuels production. Selected isolates were classified as chlorophytes, belonging to three different genera: Picochlorum, Nannochloris and Desmochloris. The lipid contents were assessed microscopically by means of BODIPY 505/515-associated fluorescence to detect intracellular lipid bodies, which revealed several lipid drops in all selected strains. This result was confirmed by lipid gravimetric determination, which demonstrated that all strains under study presented inner cell lipid contents ranging from 20% to 25% of the biomass dry weight. Furthermore, the fatty acid methyl esters profile of all strains seems ideal for biodiesel production due to a low degree of polyunsaturated fatty acid methyl esters and high amount of palmitic and oleic acids.NPST Program of King Saud University [11-ENE1719-02]info:eu-repo/semantics/publishedVersio

Development of Smart and Portable Controllable Syringe Pump System for Medical Applications

Due to their efficiency and adaptability, automated applications are consistently gaining popularity around the world. Robotics and their applications as used in a variety of commonplace industries, such as medical applications, require a high level of precision and accuracy. This can be achieved by utilizing automated applications. In this work, the development and design of a regulated injection pump is detailed. The developed prototype is a type of robot that can be utilized in hospitals and other medical facilities. The proposed design is used to pump specific liquid volumes as specified by the user. During liquid pumping, both the fluid’s volume and velocity can be manipulated. Implementation of the proposed system required the development of a complete mechanical system and a controller. The proposed system was implemented successfully, and its operation was deemed satisfactory. According to the results, the accuracy of the system was also satisfactory. Using a flow sensor, the reference value and the measured value acquired from the designed device were compared. Compared to similar devices, the proposed system demonstrated exceptional precision, with an average error rate of less than 1.5%. The proposed model has the advantages of using a commercially available injection syringe and being significantly less expensive than similar devices on the market

Key regions of VDAC1 functioning in apoptosis induction and regulation by hexokinase

AbstractThe voltage-dependent anion channel (VDAC), located in the mitochondrial outer membrane, functions as gatekeeper for the entry and exit of mitochondrial metabolites, and thus controls cross-talk between mitochondria and the cytosol. VDAC also serves as a site for the docking of cytosolic proteins, such as hexokinase, and is recognized as a key protein in mitochondria-mediated apoptosis. The role of VDAC in apoptosis has emerged from various studies showing its involvement in cytochrome c release and apoptotic cell death as well as its interaction with proteins regulating apoptosis, including the mitochondria-bound isoforms of hexokinase (HK-I, HK-II). Recently, the functional HK–VDAC association has shifted from being considered in a predominantly metabolic light to the recognition of its major impact on the regulation of apoptotic responsiveness of the cell. Here, we demonstrate that the HK–VDAC1 interaction can be disrupted by mutating VDAC1 and by VDAC1-based peptides, consequently leading to diminished HK anti-apoptotic activity, suggesting that disruption of HK binding to VDAC1 can decrease tumor cell survival. Indeed, understanding structure–function relationships of VDAC is critical for deciphering how this channel can perform such a variety of differing functions, all important for cell life and death. By expressing VDAC1 mutants and VDAC1-based peptides, we have identified VDAC1 amino acid residues and domains important for interaction with HK and protection against apoptosis. These include negatively- and positively-charged residues, some of which are located within β-strands of the protein. The N-terminal region of VDAC1 binds HK-I and prevents HK-mediated protection against apoptosis induced by STS, while expression of a VDAC N-terminal peptide detaches HK-I-GFP from mitochondria. These findings indicate that the interaction of HK with VDAC1 involves charged residues in several β-strands and in the N-terminal domain. Displacing HK, serving as the ‘guardian of the mitochondrion’, from its binding site on VDAC1 may thus be exploited as an approach to cancer therapy