Franklin Open最新文献_第10页

A comprehensive survey on an IoT-based smart public street lighting system application for smart cities 基于物联网的智慧城市公共道路照明系统应用综合调查

Franklin Open Pub Date : 2024-08-05 DOI: 10.1016/j.fraope.2024.100142

Siwar Khemakhem, Lotfi Krichen

{"title":"A comprehensive survey on an IoT-based smart public street lighting system application for smart cities","authors":"Siwar Khemakhem, Lotfi Krichen","doi":"10.1016/j.fraope.2024.100142","DOIUrl":"10.1016/j.fraope.2024.100142","url":null,"abstract":"<div><p>The swift advancement and updating of urban lighting systems, along with the incorporation of smart and Internet of Things (IoT) infrastructure, have opened up numerous opportunities for technological progress across various facets of life. This paper offers a comprehensive overview on the development of smart public street lighting infrastructure tailored for IoT applications in smart cities. Initially, the focus lies on transitioning from conventional lighting to Light-Emitting Diodes (LEDs) technology in street lighting. Complementing this transition, the incorporation of the wireless networked sensors and controllers ensures dynamic brightness control in operational zones, envisioning substantial energy savings. Furthermore, the notion characterizing smart cities denotes incorporating modern digital infrastructures to develop innovative functionalities and connect various application, following the IoT paradigm. The key findings from the proposed study have enhanced knowledge regarding smart public street lighting application. This system integrates smart poles equipped with LEDs lamps technology, smart sensors, communication network and monitoring unit, leveraging current technological advancements in IoT applications. The implementation of IoT-based smart public street lighting systems presents several challenges, including integrating diverse sensors and actuators ensuring robust device communication, secure data management, and effective system scaling and maintenance. Despite these challenges, this system significantly advances smart city infrastructure by enhancing energy efficiency, safety, and sustainability. However, addressing their high initial costs, data privacy and security concerns, and ongoing maintenance are crucial in future studies to realize their full potential in smart cities.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100142"},"PeriodicalIF":0.0,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773186324000720/pdfft?md5=e15aef26be16d7f43a3c43100289e7d4&pid=1-s2.0-S2773186324000720-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141993445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analytical design of modified Smith predictor for second-order stable time delay plants incorporating a zero 针对包含零点的二阶稳定时延植物的修正史密斯预测器的分析设计

Franklin Open Pub Date : 2024-08-02 DOI: 10.1016/j.fraope.2024.100140

Saeed Tavakoli

{"title":"Analytical design of modified Smith predictor for second-order stable time delay plants incorporating a zero","authors":"Saeed Tavakoli","doi":"10.1016/j.fraope.2024.100140","DOIUrl":"10.1016/j.fraope.2024.100140","url":null,"abstract":"<div><p>Simplified control tuning not only enhances engineers' proficiency in control theory and its application but also contributes to their skill development. This study focuses on the control of stable second-order plus time delay (SOPTD) plants incorporating a zero, by employing a modified Smith predictor structure. A forward path PID controller and a PID controller with a lead/lag filter in the feedback path contribute to the proposed control system. The PID controller determines the set-point tracking. The load disturbance rejection is influenced by both the PID and lead/lag filter. Each controller is simply designed using pole placement, while considering a tuning parameter to make a balance between performance and robustness. Filtering of the set-point signal is implemented to enhance its response. To assess the effectiveness of the proposed technique, the study involves examining a SOPTD plant and either a negative or a positive zero. Simulation and comparison analysis show that the proposed controller is appropriate for industrial usage since it quickly tracks the set-point and efficiently rejects disturbances, resulting in a smooth control signal. Furthermore, robustness tests reveal its satisfactory degree of robustness against model parameter uncertainties. In summary, the proposed approach is straightforward and outperforms recently published design methodologies in terms of both performance and robustness.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100140"},"PeriodicalIF":0.0,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773186324000707/pdfft?md5=1b3dc32100eb1a03c70d829c4547d802&pid=1-s2.0-S2773186324000707-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141952787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reproducibility of mean estimators under ranked set sampling 排序集抽样下平均值估计值的再现性

Franklin Open Pub Date : 2024-07-29 DOI: 10.1016/j.fraope.2024.100139

Syed Abdul Rehman , Tahani Coolen-Maturi , Frank P.A. Coolen , Javid Shabbir

{"title":"Reproducibility of mean estimators under ranked set sampling","authors":"Syed Abdul Rehman , Tahani Coolen-Maturi , Frank P.A. Coolen , Javid Shabbir","doi":"10.1016/j.fraope.2024.100139","DOIUrl":"10.1016/j.fraope.2024.100139","url":null,"abstract":"<div><p>In statistical inferences, the estimation of population parameters using information obtained from a sample is an important method. This involves choosing an appropriate sampling method to collect data. An efficient sampling method used for data collection is Ranked Set Sampling (RSS). In this study, we investigate the reproducibility of four well-known mean estimators under RSS using parametric predictive bootstrapping. These estimators are called conventional, ratio, exponential ratio, and regression estimators. Reproducibility is the ability of a statistical technique to obtain results similar to those based on the original experiment if the experiment is repeated under the same conditions. We conduct a simulation study to compare the reproducibility of mean estimators for varying sample sizes when sampling is based on perfect and imperfect rankings. We consider data on abalone in our simulations to demonstrate real-world applications. This study concludes that the regression estimator is the best reproducible estimator, while the conventional estimator is the worst in this regard.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100139"},"PeriodicalIF":0.0,"publicationDate":"2024-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773186324000690/pdfft?md5=9c746730f607d3ced160c7d475d08ac8&pid=1-s2.0-S2773186324000690-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141951270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pairing voltage-source converters with PI tuning controller based on PSO for grid-connected wind-solar cogeneration 基于 PSO 的电压源转换器与 PI 调节控制器配对用于并网风能-太阳能热电联产

Franklin Open Pub Date : 2024-07-23 DOI: 10.1016/j.fraope.2024.100138

Ch. Sreenu , G. Mallesham , T. Chandra Shekar , Surender Reddy Salkuti

{"title":"Pairing voltage-source converters with PI tuning controller based on PSO for grid-connected wind-solar cogeneration","authors":"Ch. Sreenu , G. Mallesham , T. Chandra Shekar , Surender Reddy Salkuti","doi":"10.1016/j.fraope.2024.100138","DOIUrl":"10.1016/j.fraope.2024.100138","url":null,"abstract":"<div><p>This paper introduces a novel method to improve the efficiency of grid-connected wind-solar cogeneration systems. It involves the integration of Voltage-Source Converters (VSCs) with a Proportional-Integral (PI) tuning controller that has been optimized using Particle Swarm Optimization (PSO). Integrating renewable energy sources into power grids presents a set of challenges in terms of ensuring stability and optimizing power flow. VSCs are essential for effectively managing power flow between renewable sources and the grid. The PI controller is vital in maintaining voltage levels and ensuring stable operation. Conventional PI controller tuning methods commonly rely on heuristic approaches, which might only partially optimize performance across various operational conditions. In order to tackle this issue, PSO is utilized to fine-tune the parameters of the PI controller automatically. This results in a significant reduction in system deviations and a notable improvement in efficiency, even when faced with fluctuating wind and solar conditions. The simulation results conducted in MATLAB/Simulink confirm the effectiveness of the proposed approach in enhancing system stability and reducing response times. The PI controller optimized using PSO showcases exceptional adaptability to varying environmental and grid conditions, resulting in minimized power fluctuations and improved grid reliability. This study makes a valuable contribution to the field of renewable energy integration. It provides valuable insights into enhancing the performance of grid-connected wind-solar cogeneration systems through advanced control techniques and optimization algorithms such as PSO.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100138"},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773186324000689/pdfft?md5=2ccfa814798194139e01c7d720ebdc5e&pid=1-s2.0-S2773186324000689-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141843902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimization of machine learning models through quantization and data bit reduction in healthcare datasets 通过量化和减少医疗数据集中的数据位，优化机器学习模型

Franklin Open Pub Date : 2024-07-18 DOI: 10.1016/j.fraope.2024.100136

Mitul Goswami, Suneeta Mohanty, Prasant Kumar Pattnaik

{"title":"Optimization of machine learning models through quantization and data bit reduction in healthcare datasets","authors":"Mitul Goswami, Suneeta Mohanty, Prasant Kumar Pattnaik","doi":"10.1016/j.fraope.2024.100136","DOIUrl":"10.1016/j.fraope.2024.100136","url":null,"abstract":"<div><p>This study focuses on enhancing complex machine learning models through quantization and data bit reduction. The primary goal is to reduce processing time while maintaining model performance, which is particularly relevant for intricate models with prolonged execution times. The research employs two medical datasets, namely Heart Disease Prediction and Breast Cancer Detection, and applies optimization techniques to K-Nearest Neighbors (KNN) and Support Vector Machine (SVM) machine-learning models. To achieve optimization, the study employs effective quantization and data bit reduction techniques such as QuantileTransformer, Numpy.round, and KBinsDiscretizer functions. These techniques are utilized to convert input data from float64 to float32 and int32, resulting in a streamlined data representation. The trade-off between processing time and model accuracy is explored, acknowledging that some compromise in accuracy might occur after optimization. The experimentation reveals that there is a noticeable reduction in time complexity after optimization, with a marginal impact on model accuracy. Interestingly, the study concludes that the outcome and efficiency of optimization techniques are influenced not only by the specific technique used but also by the nature of the dataset and machine learning model under consideration. This comprehensive research showcases the applicability of optimization techniques, specifically quantization and data bit reduction, in complex machine learning models. By conducting experiments on medical datasets and analyzing KNN and SVM models, the study underscores the delicate balance between processing time and model accuracy. The findings emphasize that the success of optimization strategies is context-dependent, relying not only on the chosen technique but also on the interplay between the technique, model, and dataset.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100136"},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773186324000665/pdfft?md5=747579cc40b43fe2e9974f0adcbb501a&pid=1-s2.0-S2773186324000665-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141949669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving Earth surface temperature forecasting through the optimization of deep learning hyper-parameters using Barnacles Mating Optimizer 利用藤壶交配优化器优化深度学习超参数，改进地球表面温度预报

Franklin Open Pub Date : 2024-07-14 DOI: 10.1016/j.fraope.2024.100137

Zuriani Mustaffa , Mohd Herwan Sulaiman , Muhammad ‘Arif Mohamad

{"title":"Improving Earth surface temperature forecasting through the optimization of deep learning hyper-parameters using Barnacles Mating Optimizer","authors":"Zuriani Mustaffa , Mohd Herwan Sulaiman , Muhammad ‘Arif Mohamad","doi":"10.1016/j.fraope.2024.100137","DOIUrl":"10.1016/j.fraope.2024.100137","url":null,"abstract":"<div><p>Time series forecasting is crucial across various sectors, aiding stakeholders in making informed decisions, planning for the short and long term, managing risks, optimizing profits, and ensuring safety. One significant application of time series forecasting is predicting Earth surface temperatures, which is vital for civil and environmental sectors such as agriculture, energy, and meteorology. This study proposes a hybrid forecasting model for Earth surface temperature using Deep Learning (DL). To improve the DL model's performance, an optimization algorithm called Barnacles Mating Optimizer (BMO) is integrated to optimize both weights and biases. The forecasting model is trained on a global temperature dataset with seven inputs and compared with DL models optimized by Particle Swarm Optimization (PSO), Harmony Search Algorithm (HSA), and Ant Colony Optimization (ACO). Additionally, a comparison is made with the Autoregressive Moving Average (ARIMA) method. Evaluation using Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and the coefficient of determination (R2) demonstrates the superior performance of DL optimized by BMO, showing minimal errors.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100137"},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773186324000677/pdfft?md5=b41c1a4bd8c630ef8b27f53ffde3339f&pid=1-s2.0-S2773186324000677-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141692351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low-cost predefined-time convergent super-twisting algorithm 低成本预定义时间收敛超扭曲算法

Franklin Open Pub Date : 2024-07-14 DOI: 10.1016/j.fraope.2024.100134

Ramon Lopez, Michael Basin

引用次数: 0

Optimal tracking for PV three-phase grid-connected inverter with LC filter 带 LC 滤波器的光伏三相并网逆变器的优化跟踪

Franklin Open Pub Date : 2024-07-14 DOI: 10.1016/j.fraope.2024.100133

Said Al-Abri , Myada Shadoul , Hassan Yousef , Rashid Al-Abri

{"title":"Optimal tracking for PV three-phase grid-connected inverter with LC filter","authors":"Said Al-Abri , Myada Shadoul , Hassan Yousef , Rashid Al-Abri","doi":"10.1016/j.fraope.2024.100133","DOIUrl":"10.1016/j.fraope.2024.100133","url":null,"abstract":"<div><p>The paper presents a simple yet accurate tracking control strategy for a three-phase grid-connected inverter with an LC filter. Three-phase inverters are used to integrate renewable energy sources such as photovoltaic (PVs) into the utility grid. The LC filters are integrated between the utility grid and the voltage source inverters for damping the high-frequency currents generated by renewable energy sources. Inverter control is a crucial component in guaranteeing that the quality of current injected into the grid complies with the power quality standards. Realizing the need for robust and adaptable control strategies that can handle the variability of PV systems, in this paper we employ a Linear Quadratic Regulator (LQR) tracking controller with an integral action to ensure zero tracking error. The efficiency of the proposed controller in tracking the grid power factor and active current variations is demonstrated via both simulation using MATLAB/SIMULINK and implementation using a laboratory-scale photovoltaic (PV) testbed that is established at the Hybrid Station Lab at Sultan Qaboos University.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100133"},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S277318632400063X/pdfft?md5=63af24096c11cd82c0e79eaa68dac216&pid=1-s2.0-S277318632400063X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141708829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Variational autoencoder-based dimension reduction of Ichimoku features for improved financial market analysis 基于变异自动编码器的一目均衡特征降维技术用于改进金融市场分析

Franklin Open Pub Date : 2024-07-14 DOI: 10.1016/j.fraope.2024.100135

Seyyed Ali Hosseini , Seyyed Abed Hosseini , Mahboobeh Houshmand

{"title":"Variational autoencoder-based dimension reduction of Ichimoku features for improved financial market analysis","authors":"Seyyed Ali Hosseini , Seyyed Abed Hosseini , Mahboobeh Houshmand","doi":"10.1016/j.fraope.2024.100135","DOIUrl":"10.1016/j.fraope.2024.100135","url":null,"abstract":"<div><p>Financial markets are complex and dynamic, and accurately predicting market trends is crucial for traders and financial analysts. Ichimoku-based features have gained significant attention in financial market analysis due to their ability to capture essential market signals and patterns. This significant compression retains essential patterns related to trends, support/resistance levels, and trading signals. The reduced dimensionality improves computational efficiency and could allow for more accurate predictive modeling by traders. However, real-world testing is needed because compressing data risks losing useful nuances. In this study, we utilize an autoencoder for the dimensionality reduction of Ichimoku-based features in financial market analysis. The autoencoder, a neural network architecture, compresses high-dimensional data into a lower-dimensional representation by learning important features and patterns. The experiments conducted on a Euro/Dollar market dataset spanning 1990, comprising 16 columns with Ichimoku features, reveal the remarkable reduction of dataset size from 2,269,500 to 756,375, equivalent to a decrease of 66.67 %. These results highlight the efficiency of the proposed approach in reducing the dimensionality of financial market data, suggesting its potential as a valuable tool for traders and financial analysts to predict market trends and make informed decisions in the financial markets.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100135"},"PeriodicalIF":0.0,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773186324000653/pdfft?md5=b18d28305b0c65216da217612b2ac231&pid=1-s2.0-S2773186324000653-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141690621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integral reinforcement learning-based event-triggered H∞ control algorithm for affine nonlinear systems with asymmetric input saturation and external disturbances 针对具有非对称输入饱和度和外部干扰的仿射非线性系统的基于事件触发的 H∞ 积分强化学习控制算法

Franklin Open Pub Date : 2024-07-10 DOI: 10.1016/j.fraope.2024.100132

Luy Nguyen Tan , Dien Nguyen Duc

{"title":"Integral reinforcement learning-based event-triggered H∞ control algorithm for affine nonlinear systems with asymmetric input saturation and external disturbances","authors":"Luy Nguyen Tan , Dien Nguyen Duc","doi":"10.1016/j.fraope.2024.100132","DOIUrl":"10.1016/j.fraope.2024.100132","url":null,"abstract":"<div><p>This paper addresses an integral reinforcement learning (IRL)-based novel event-triggered (ET) <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> control algorithm for affine continuous-time nonlinear systems with completely unknown drift dynamics, asymmetric input saturation, and external disturbances. The algorithm uses a zero-sum game theory to reject external disturbances and an ET mechanism to reduce communication costs and computation bandwidth. Compared to the existing ET control schemes, the algorithm in the first time deals with ET <span><math><msub><mrow><mi>H</mi></mrow><mrow><mi>∞</mi></mrow></msub></math></span> control relaxing identification of the unknown part of dynamics for systems with asymmetric input saturation. ET control laws and the worst-case disturbance strategies are approximated synchronously by a designed triggering threshold. The stability is guaranteed by Lyapunov analysis and the Zeno behavior is avoided since the inter-event time is greater than zero. Comparative results in simulations confirm that the proposed algorithm is effective.</p></div>","PeriodicalId":100554,"journal":{"name":"Franklin Open","volume":"8 ","pages":"Article 100132"},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2773186324000628/pdfft?md5=bfbe121f3e769518516f6db990b5fe6e&pid=1-s2.0-S2773186324000628-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141716369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0