This article focuses on reactive power compensation and impedance matching of square-wave voltages. Square-wave voltage is the operating voltage in electromagnetic method (EM) exploration. The characteristics of a squ...
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Finding a suitable solution to an optimization problem designed in science is a major ***,these must be addressed utilizing proper *** on a random search space,optimization algorithms can find acceptable solutions to ...
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Finding a suitable solution to an optimization problem designed in science is a major ***,these must be addressed utilizing proper *** on a random search space,optimization algorithms can find acceptable solutions to *** Algorithm(AA)is a new stochastic approach for addressing optimization problems that is discussed in this *** fundamental idea of developing the suggested AA is to imitate the archer’s shooting behavior toward the target *** proposed algorithm updates the location of each member of the population in each dimension of the search space by a member randomly marked by the *** AA is mathematically described,and its capacity to solve optimization problems is evaluated on twenty-three distinct types of objective ***,the proposed algorithm’s performance is compared *** approaches,including teaching-learning based optimization,marine predators algorithm,genetic algorithm,grey wolf optimization,particle swarm optimization,whale optimization algorithm,gravitational search algorithm,and tunicate swarm *** to the simulation findings,the AA has a good capacity to tackle optimization issues in both unimodal and multimodal scenarios,and it can give adequate quasi-optimal solutions to these *** analysis and comparison of competing algorithms’performance with the proposed algorithm demonstrates the superiority and competitiveness of the AA.
Quantifying sarcomere structure organization in human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) is crucial for understanding cardiac disease pathology, improving drug screening, and advancing re...
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With the development of smart sensors,information storage,processing technology and computer performance,large amounts of operating data collected from production process provide opportunities as well as challenges in...
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ISBN:
(数字)9789887581536
ISBN:
(纸本)9781665482561
With the development of smart sensors,information storage,processing technology and computer performance,large amounts of operating data collected from production process provide opportunities as well as challenges in remaining useful life(RUL) *** one hand,data-driven analysis approaches are experiencing a fast *** the other hand,the collected variables may be redundant,noisy and high-dimensional for ***,data dimension reduction is applied for eliminating useless *** from correlation-based methods,causal inference methods can obtain reliable models reflecting causal relationships among interesting ***,the latter is more suitable in data dimension *** this study,we use PCMCI+,a causal discovery method based on graph model,that handles both lagged and contemporaneous relationships in multi-variable time *** validate this method on time series data extracted directly from a medium frequency quenching *** obtained results confirm that PCMCI+is able to recognize causal associations among various sensor *** instance,variables in the same process have relatively larger causal relationships than those in different processes.
Creating groundbreaking solutions that benefit the populace is imperative in the modern era. The Internet of Things (IoT) serves as a trailblazing sector, fostering the development of contrivances automating an array ...
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ISBN:
(数字)9798331508845
ISBN:
(纸本)9798331508852
Creating groundbreaking solutions that benefit the populace is imperative in the modern era. The Internet of Things (IoT) serves as a trailblazing sector, fostering the development of contrivances automating an array of tasks. The IoT encompasses an interlinked network of cyber-connected contrivances executing functions with minimal human intervention. Capitalizing on IoT principles, this exploration endeavors to contrive a device aiding individuals grappling with mobility impediments. The envisioned gizmo consists of two primary sectors: a hardware module featuring a channel relay, Arduino, and an astute luminescent bulb, and a software element encompassing cloud and IoT platforms alongside a purpose-built app. The chief function of this contraption is to discern specific vocalizations in an individual’s utterances, effectuating or deactivating the astute contraption to institute an intelligent habitation. In the initial phase, a luminous bulb will serve as a demonstration, employing for app origination. The distinctive aspect of this program lies in its vocalization-receptive microphone, with Bluetooth and Wi-Fi chips augmenting transmission velocity between the luminescent bulb and the mobile device. Meticulous attention will be accorded to auditory sensitivity and expeditious data transmission, with potential integration of diverse contrivances like ventilators and temperature-regulating apparatus into the envisioned gizmo. Furthermore, contemplation extends to a fortified safety attribute ensuring singular response to a particular vocal identity.
This paper presents a case study related to emotion recognition based on human thermal image processing. Three states are considered for human faces: normal, sad, and happy. The thermal images are pre-processed for im...
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Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitati...
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Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative
This study investigates the application of machine learning techniques for classifying human emotions using electroencephalography (EEG) data. Focusing on the categorization of positive, negative, and neutral emotiona...
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ISBN:
(数字)9798331519094
ISBN:
(纸本)9798331519100
This study investigates the application of machine learning techniques for classifying human emotions using electroencephalography (EEG) data. Focusing on the categorization of positive, negative, and neutral emotional states, we utilize the ‘Feeling Emotions’ EEG brainwave dataset from Kaggle to evaluate the efficacy of various classification *** machine learning algorithms are employed in this analysis: Logistic Regression (LR), Random Forest (RF), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Gaussian Naive Bayes (GNB), ExtraTrees (ET), and Decision Tree (DT). Our proposed model, ‘EmotionRF’, based on RF, achieves 99% accuracy, significantly outperforming other algorithms. To enhance the interpretability of the high-performing Random Forest model, we apply Explainable AI techniques, specifically LIME (Local Interpretable Model-agnostic Explanations) and SHAP (SHapley Additive exPlanations). These methods provide valuable insights into the model’s decision-making processes and feature importance, thereby increasing the transparency of its predictions and confirming its *** findings highlight the potential of EEG data in developing reliable tools for psychological assessment and adaptive interfaces. This research contributes to the advancement of machine learning applications in neuroscientific data analysis and underscores the importance of interpretable AI in clinical and research settings.
Network forensics pertains to a subfield of digital forensics that deals with network security. It is utilized in conjunction with computer network traffic monitoring and analysis, which acts as an intrusion detection...
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Launched in Congo in 2012 by mobile phone operators, Mobile Money is a digital financial service that offers the possibility of opening an account for free and carrying out financial transactions for free. The flexibi...
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ISBN:
(纸本)9789898704627
Launched in Congo in 2012 by mobile phone operators, Mobile Money is a digital financial service that offers the possibility of opening an account for free and carrying out financial transactions for free. The flexibility and ease of access to this service has therefore encouraged its integration into all social strata of the population. Subscribers can then carry out several types of operations: pay bills, transfer money, receive money, deposit money, etc. However, the fact that financial transactions are still very expensive and are currently only carried out between subscribers of the same mobile operator is a real limitation that must be overcome. In addition to this high cost limitation and the lack of a gateway between operators, which we want to remedy, the old hierarchical USSD (Unstructured Supplementary Service Data) or SIM (Subscriber Identity Module) toolkit menu interfaces discourage many users. A single cash transaction can require seven to eight menu screens and the entry of two to three sequences of numbers. Mistakes are too easy. Smartphone interfaces not only have the potential to simplify basic transactions, but they can also solve many other obstacles. They can display content in a richer and clearer way than simple text. In this article, we propose an innovative solution, called "One Cash", which provides a concrete and practical solution to these major concerns by integrating the APIs of mobile and/or financial operators and exploiting the richness and flexibility of smartphone interfaces to simplify usage. In particular, content is presented in a richer and clearer way than simple text, the number of manipulation steps has been reduced with the proposed solution, thus reducing the user's cognitive load, customers quickly sign up for new services, and can even self-register without having to fill out costly paper forms or visit a branch or kiosk, etc. In this article, we highlight the interest of a diversified offer of m-payment services includ
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