CLEI Electronic Journal最新文献_第2页

Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization 基于GWO和粒子群优化的耦合水箱相互作用水位控制系统数学建模

CLEI Electronic Journal Pub Date : 2023-09-22 DOI: 10.19153/cleiej.26.2.7

Hafiz Shaikh Hafiz, Neelima Kulkarni, Mayuresh Bakshi

{"title":"Mathematical Modeling of coupled tank interacting system for controlling water level using GWO and PSO optimization","authors":"Hafiz Shaikh Hafiz, Neelima Kulkarni, Mayuresh Bakshi","doi":"10.19153/cleiej.26.2.7","DOIUrl":"https://doi.org/10.19153/cleiej.26.2.7","url":null,"abstract":"In bulk drug production industries water level control at a precisepoint is a major dispute. Loss in production at the initial stageis observed until the water level reaches desired level. Pharmaceuticalindustries can however earn more profit if they could maintainprecise water level control at the initial stage of production. To synchronizethe water level precisely having best performance parameters,this work introduces Particle Swarm Optimization (PSO) and GreyWolf Optimization (GWO). By determining the mathematical model,the method for water proportion (level) control in the bridged tanksfor the MIMO system may be accomplished. The prior step for systemidentification is by observing the open-loop response of the system.This can be processed by analyzing the actual parameters of the coupledtank. State-space analysis of coupled tanks is explained in detailalong with its conversion into transfer function. In this paper, theinherent parameters required for the calculation are discussed. MATLABis used as the platform for observing the responses. Observationsfrom the PID controller articulate that, there is a need for a better controllerto enhance the performance. Performance analysis along withits discussion is conferred in this paper.","PeriodicalId":30032,"journal":{"name":"CLEI Electronic Journal","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136060787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Management System for the Fattening Process of Bovines in Rotational Grazing using Diagnosis and Recommendation Systems 基于诊断和推荐系统的轮牧牛育肥过程管理系统

CLEI Electronic Journal Pub Date : 2023-09-22 DOI: 10.19153/cleiej.26.2.3

Rodrigo Garcia, Charles Benitez, Jose Aguilar

{"title":"Management System for the Fattening Process of Bovines in Rotational Grazing using Diagnosis and Recommendation Systems","authors":"Rodrigo Garcia, Charles Benitez, Jose Aguilar","doi":"10.19153/cleiej.26.2.3","DOIUrl":"https://doi.org/10.19153/cleiej.26.2.3","url":null,"abstract":"Cattle breeding has been one of the most important industrial sectors in the world since it is related to food security and the survival of the human race. Management of the cattle fattening process is a fundamental procedure for cattle breeders because it allows them to make strategic decisions, such as timely treatment in case of any abnormality (e.g., weight gain in herds, in their paddocks). This article aims to present a management system for the cattle fattening process under a rotational grazing scheme, considering the health status of the animal and the pasture, which should diagnose weight loss or gain in bovines and recommend actions when is required. The diagnostic process is based on a fuzzy system that defines rules that characterize the diagnostic process to determine the current situation given an input. Furthermore, the fuzzy classifier optimizes its rules by means of genetic algorithms by modifying its membership functions, providing a more accurate system for diagnosis. On the other hand, the recommendation system is based on a classification model of pasture crops, in which the best pasture is recommended given the soil variables. We tested our proposal with experimental cases, with promising results. For the fuzzy classifier, the accuracy metrics are very good, with values of accuracy close to 100% and of Area Under the Curve close to 1. For the classification model were used several machine learning techniques, resulting in the best classifier the random forest technique, with an accuracy of 98.61%.","PeriodicalId":30032,"journal":{"name":"CLEI Electronic Journal","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136060788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Education-oriented Proof Assistant Based on Calculational Logic: Proof Theory Algorithms and Assessment Experience 基于计算逻辑的教育型证明助手:证明理论、算法与评估经验

CLEI Electronic Journal Pub Date : 2023-09-21 DOI: 10.19153/cleiej.26.2.6

Federico Flaviani, Walter Carballosa

引用次数: 0

Preface to the CLEI 2022 Special Issue CLEI 2022特刊前言

CLEI Electronic Journal Pub Date : 2023-09-21 DOI: 10.19153/cleiej.26.2.1

Paula Zabala, Kelly Pernett

引用次数: 0

Analysis and design of algorithms for the manufacturing process of integrated circuits 集成电路制造过程算法分析与设计

CLEI Electronic Journal Pub Date : 2023-09-21 DOI: 10.19153/cleiej.26.2.2

Sonia Fleytas, Diego Pinto, Jose Colbes

引用次数: 0

Analysis of the Semantic Shift in Diachronic Word Embeddings for Spanish Before and After COVID-19 新冠肺炎前后西班牙语历时词嵌入的语义转移分析

CLEI Electronic Journal Pub Date : 2023-09-21 DOI: 10.19153/cleiej.26.2.4

Esteban Rodríguez Betancourt, Edgar Casasola Murillo

引用次数: 0

Trajectory Anomaly Detection based on Similarity Analysis 基于相似性分析的轨迹异常检测

CLEI Electronic Journal Pub Date : 2022-05-24 DOI: 10.19153/cleiej.25.2.3

Gerar Francis Quispe Torres, Lauro Enciso Rodas, Harley Vera Olivera, Germain Garcia Zanabria

{"title":"Trajectory Anomaly Detection based on Similarity Analysis","authors":"Gerar Francis Quispe Torres, Lauro Enciso Rodas, Harley Vera Olivera, Germain Garcia Zanabria","doi":"10.19153/cleiej.25.2.3","DOIUrl":"https://doi.org/10.19153/cleiej.25.2.3","url":null,"abstract":"Automatic trajectory processing has multiple applications, mainly due to the wide availability of the data. Trajectory data have a significant practical value, making possible the modeling of various problems such as surveillance and tracking devices, detecting anomaly trajectories, identifying illegal and adverse activity. In this study, we show a comparative analysis of the performance of two descriptors to detect anomaly trajectories. We define Wavelet and Fourier transforms as trajectory descriptors to generate characteristics and subsequently detect anomalies. The experiments emphasize performance in the description in the coefficient feature space. For that, we used unsupervised learning, specifically clustering techniques, to generate subsets and identify which are irregular. The implications of the study demonstrate that it is possible to use descriptors in trajectories for automatic anomaly detection and the use of unsupervised learning methods that automatically segment the required information. The performance and comparative analysis of our study are demonstrated through experiments and case studies considering synthetic and real data sets that leave evidence of our contribution.","PeriodicalId":30032,"journal":{"name":"CLEI Electronic Journal","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43576953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

U-Net_based_Network_Applied_to_Skin_Lesion_Segmentation_An_Ablation_Study U-Net_based_Network_Applied_to_Skin_Lesion_Segmentation_An_Ablation_Study

CLEI Electronic Journal Pub Date : 2022-01-01 DOI: 10.19153/cleiej.25.2.5

G. S. Araujo

引用次数: 0

Belief change without compactness 信念变化无紧凑性

CLEI Electronic Journal Pub Date : 2021-04-14 DOI: 10.11606/T.45.2020.TDE-16032020-192134

Jandson Santos Ribeiro Santos

引用次数: 0

Guest Editor's View 特邀编辑观点

CLEI Electronic Journal Pub Date : 2018-12-09 DOI: 10.19153/cleiej.5.1.0

J. Augusto, S. T. Acuña

引用次数: 0