Association for Scientic Computing Electronics and Engineering (ASCEE): Open Journal Systems
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Controlling Pulse-Like Self-Sustained Oscillators Using Analog Circuits and Microcontrollers
Get PDFUsing simulation from analog electronic circuits and from a microcontroller, this paper considers the control or synchronization of pulse-like self-sustained oscillators described by the equations derived from the chemical system known as Brusselator. The attention is focused on the effect of proportional control when the Brusselator is subjected to disturbances such as pulse-like oscillations and square signals. The analog electronic circuits simulation is based on Multisim, while the microcontroller simulation uses mikroC software and PIC 18F4550. In order to determine the intervals for which the synchronization is effective, the equations of the Brusselator are solved numerically using the fourth-order Runge-Kutta method. As software used for conducting numerical simulations, FORTRAN 95 version PLATO is used for numerical simulation and MATLAB for plotting curves using the data generated from FORTRAN simulations. It has been shown that the control is effective for some values of the proportional control parameter. A good qualitative and quantitative agreement is found from the results of the numerical simulation and those obtained from the analog electronic circuits as well as those delivered by the microcontroller. Since the oscillations delivered by the heart are pulsed oscillations, this study gives an idea of how to control the heart frequency of an individual whose heart is subject to certain disturbances related to stress or illness, to name just a few examples
Optimizing CNN hyperparameters with genetic algorithms for face mask usage classification
Get PDFConvolutional Neural Networks (CNNs) have gained significant traction in the field of image categorization, particularly in the domains of health and safety. This study aims to categorize the utilization of face masks, which is a vital determinant of respiratory health. Convolutional neural networks (CNNs) possess a high level of complexity, making it crucial to execute hyperparameter adjustment in order to optimize the performance of the model. The conventional approach of trial-and-error hyperparameter configuration often yields suboptimal outcomes and is time-consuming. Genetic Algorithms (GA), an optimization technique grounded in the principles of natural selection, were employed to identify the optimal hyperparameters for Convolutional Neural Networks (CNNs). The objective was to enhance the performance of the model, namely in the classification of photographs into two categories: those with face masks and those without face masks. The convolutional neural network (CNN) model, which was enhanced by the utilization of hyperparameters adjusted by a genetic algorithm (GA), demonstrated a commendable accuracy rate of 94.82% following rigorous testing and validation procedures. The observed outcome exhibited a 2.04% improvement compared to models that employed a trial and error approach for hyperparameter tuning. Our research exhibits exceptional quality in the domain of investigations utilizing Convolutional Neural Networks (CNNs). Our research integrates the resilience of Genetic Algorithms (GA), in contrast to previous studies that employed Convolutional Neural Networks (CNN) or conventional machine learning models without adjusting hyperparameters. This unique approach enhances the accuracy and methodology of hyperparameter tuning in Convolutional Neural Networks (CNNs).Â
A Review on Microgrids for Remote Areas Electrification-Technical and Economical Perspective
Get PDFThe main objective of this study is to review microgrids from both a technical and financial standpoint in order to electrify rural places. Making a microgrid in rural area is challenging due to its technical and economical perspective. Technical and Economic analysis could investigate power quality and system stability for a local community in a nation. The technical and economic aspects of microgrid design and operation are covered, along with a number of other parts such power sources, energy storage, and control systems. Installation and maintenance cost has been discussed with respect to technological and economical view point in this paper. The report ends with a review of the prospects and problems for implementing microgrids in remote locations. Various challenges of microgrid and prospective solutions have also been discussed for the betterment of microgrid technically and economically. Microgrid planning has also been explained in this paper in rural regions entails the process of creating, developing, and deploying microgrid systems to provide dependable and sustainable power. Some influential factors such as technological factors, economic factors, socio-political factors and environmental factors on which microgrid depends have been discussed in this paper. The study offers a thorough discussion of microgrids as a potential method for electrifying rural areas. The study shows that microgrid is economically more beneficial to be developed in any rural area, as well as complying the minimum technical requirement of local grid code. Therefore, it can be said that any locality of a nation is a more viable and economic location to implement microgrid for the development. This review will assist the decision-makers in adopting microgrids for the electrification of rural areas and hold establishing regulations that are helpful and clear for the operation and integration of microgrids. System effectiveness, energy storage, and grid management breakthroughs may result from research and development of microgrid technology
Assessment of safety and economic impact of boil-off-gas in LPG storage tanks
Get PDFThis study was carried out to assess the effect of boil-off gas (BOG) on the safety and economic effectiveness of LPG storage tanks. It includes analysis of the thermodynamic properties of LPG; heat absorbed from ambient air by the storage tank that leaks into the LPG, and consequently generates boil-off gas in the supply chain, by utilizing appropriate thermodynamic and heat transfer equations. Analyzing the heat leakage required the estimations of the convective heat transfer coefficient of the ambient air in the supply location and the LPG supply chain, which amounted to 3335.9W/m2K and 21.058W/m2K, respectively, in the system under study. Analyzing the thermodynamic properties, such as specific volume, entropy, and enthalpy of the LPG, shows that the entropy of LPG in the storage tank is negative, which suggests an endothermic process, validating that heat is added to the system from the surroundings. The heat absorbed in the LPG from the ambient air by the storage tank amounted to 1.785kW. The boil-off generation rate due to the storage tank heat leakage was 0.0049kg/s, which translates to a cost equivalent loss of 0.0069/kg. It was recommended that maintenance of insulation and other external factors such as wind speed, solar radiation, ambient temperature, and thermal conductivity of the storage tank material are key factors in minimizing the heat leaks into LPG; hence BOG generation, which is of utmost importance in ensuring safety and economic loss in the LPG supply chain
Improving sentiment analysis on PeduliLindungi comments: a comparative study with CNN-Word2Vec and integrated negation handling
Get PDFThis study investigates sentiment analysis in Google Play reviews of the PeduliLindungi application, focusing on the integration of negation handling into text preprocessing and comparing the effectiveness of two prominent methods: CNN-Word2Vec CBOW and CNN-Word2Vec SkipGram. Through a meticulous methodology, negation handling is incorporated into the preprocessing phase to enhance sentiment analysis. The results demonstrate a noteworthy improvement in accuracy for both methods with the inclusion of negation handling, with CNN-Word2Vec SkipGram emerging as the superior performer, achieving an impressive 76.2% accuracy rate. Leveraging a dataset comprising 13,567 comments, this research introduces a novel approach by emphasizing the significance of negation handling in sentiment analysis. The study not only contributes valuable insights into the optimization of sentiment analysis processes but also provides practical considerations for refining methodologies, particularly in the context of mobile application reviews
Study on Viral Transmission Impact on Human Population Using Fractional Order Zika Virus Model
Get PDFThis work comprises the spread of Zika virus between humans and mosquitoes as a mathematical simulation under fractional order, which also incorporates the asymptotically infected human population. For determining the solution of the model the fuzzy Laplace transform technique is utilized. By combining fuzzy logic with the Laplace transform, we can analyze systems even when we lack precise information. Further, the sensitivity analysis is performed to validate the model. On top of that the population dynamics of both human and mosquito populations are discussed using numerical data and the graphical result of the model is presented. The main objective of this work is to study the dynamics of the Zika virus and to examine the effect of virus on humans when the transmission occurs between humans and from mosquitoes, under fractional order. The outcome of these comparisons suggests that even by reducing a minute fractional part of transmission through mosquitoes results in a greater reduction of Zika exposed population. The comparisons improve the understanding of fractional level transmission resulting in more effective drug administration to patients. The Hyers-Ulam stability method is a mathematical technique used to study the stability of functional equations. Eventually, Ulam Hyers and Ulam Hyers Rassias stability are employed to assess the stability of the proposed model
A semiotic intertextual analysis of beauty influencers' communication strategies on youtube: uncovering meaning and influence by using Pierce's framework
Get PDFThis research aims to conduct a semiotic intertextual analysis of beauty influencers on YouTube. Specifically, the study centers on two prominent beauty influencers, Andra Alodita, and Kornelia Meilinda, and their strategies for effectively promoting recommended lipstick products. The research was conducted employing a qualitative approach, utilizing Peirce's semiotic theory. The findings reveal that beauty influencers strategically employ visual elements to convey meaning and captivate viewers' attention. Both Andra Alodita and Kornelia Meilinda meticulously craft their content, considering factors such as color schemes, backgrounds, and object placement. They adopt distinct approaches to reviewing lipstick products tailored to diverse audiences and preferences. This multiplicity of perspectives enhances the complexity of semiotic elements within beauty influencer content and broadens the spectrum of meanings conveyed to viewers. Furthermore, the findings underscore the significance of semiotic intertextuality as a potent tool for beauty influencers to shape meaning, influence perceptions, and resonate with their extensive audience. These findings offer valuable insights for marketers, brands, and content creators seeking to leverage semiotics' potential in shaping beauty trends and consumer behavior
Short video social media use and subjective wellbeing among young adults in rural China: The mediating roles of upward social comparison and online social capital
Get PDFThis paper aims to describe how videos affect human behavior, especially teenagers and other major human beings. Given the large number of young adults who use short video social media (e.g., TikTok, Douyin, and Kuaishou) in rural China, understanding how the use of such platforms affects their subjective wellbeing is crucial. This study examines the mediating roles of online social capital and upward social comparison in the relationships between short video social media use (intensity, active vs. passive use) and subjective wellbeing using data gathered from a web-based survey of 412 young adults living in rural China. Structural equation modeling demonstrated that active short video use is associated with a greater level of online social capital, which in turn is related positively to subjective wellbeing. Passive short video use is negatively associated with online social capital. Active short video use is also associated with a greater level of upward social comparison, whereas passive short video use is negatively associated with upward social comparison. Nevertheless, the relationship between upward social comparison and subjective wellbeing is not statistically significant. Use intensity was associated with neither online social capital nor upward social comparison. The findings extend the understanding of the psychologically powerful nature of short video social media platforms and their effects on subjective wellbeing among Chinese rural young adults
Fault Tolerant Super Twisting Sliding Mode Control of a Quadrotor UAV Using Control Allocation
Get PDFIn this study, a fault-tolerant super-twisting sliding mode controller with a control allocation system for a quadrotor aircraft is proposed. Super twisting sliding mode control is a robust control technique that handles a system with a relative degree equal to one. A super-twisting sliding mode controller is proposed because of its robustness to uncertainties and perturbations. It increases accuracy and reduces chattering. A control allocation algorithm is developed to cope with the actuator fault. Firstly, a nonlinear model of the quadrotor unmanned aerial vehicle (UAV) is presented. Then, the controller design and type of the actuator fault are explained. The control allocation algorithm is used to optimize the trajectory tracking performance of the quadrotor in the presence of an actuator fault. A control allocation algorithm is an effective approach to implementing fault-tolerant control. When actuator faults are identified, they can be modeled as changes in the B matrix of constraints. Various simulations have been made for situations with and without actuator failure. In normal conditions, the quadrotor can accurately track altitude, roll, pitch and yaw references. In faulty conditions, the quadrotor can follow the references with a small error. Simulations prove the effectiveness of the control allocation algorithm, which stabilizes the quadrotor in case of an actuator fault. Overall, this paper presents a novel fault-tolerant controller design for quadrotor aircraft that effectively addresses actuator faults using a super-twisting sliding mode controller and control allocation algorithm
Comparison of Feature Extraction with PCA and LTP Methods and Investigating the Effect of Dimensionality Reduction in the Bat Algorithm for Face Recognition
Get PDFFace recognition is one of the challenging subjects of image processing. Facial recognition is often a biometric method that basically uses faces to recognize people. The face recognition system consists of three main steps: finding the face in the image, feature extraction and classification. The face recognition system faces challenges such as changes in lighting, changes in age, changes in facial expressions, etc. One of the important issues in this system is the algorithm execution speed. For this purpose, the dimensions of the feature vectors should be small enough, especially when the database is large. Since the face recognition system must be performed on a wide range of databases, dimensionality reduction techniques are required to reduce time and increase accuracy. Dimension reduction methods are used for this purpose. Two methods of dimensionality reduction, including LTP and PCA, are given in this research. In this research, first, the LTP feature vectors are extracted from the face image, and then the effective features are selected using the Bat algorithm. Therefore, this algorithm has three main phases of feature extraction, feature selection and classification. This algorithm is implemented on the ORL database, which contains 400 images of 40 different people with a size of 112×92 pixels. In addition to reducing the time required for testing, the proposed method has provided a very good accuracy of 99%