Automatika最新文献_第10页

Neurological disease prediction using impaired gait analysis for foot position in cerebellar ataxia by ensemble approach 用综合方法对小脑性共济失调患者足位的受损步态分析进行神经系统疾病预测

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-04-05 DOI: 10.1080/00051144.2023.2194097

M. Shanmuga sundari, Vijaya Chandra Jadala

{"title":"Neurological disease prediction using impaired gait analysis for foot position in cerebellar ataxia by ensemble approach","authors":"M. Shanmuga sundari, Vijaya Chandra Jadala","doi":"10.1080/00051144.2023.2194097","DOIUrl":"https://doi.org/10.1080/00051144.2023.2194097","url":null,"abstract":"In neurological field, Cerebellar Ataxia (CA) prediction is done with Gait values of human actions. The Analysis of Gait (AoG) may lead the good treatment. The goal of this work was to develop a machine-learning-based model for predicting AoG using the poor gait patterns that occur before AoG. While executing designed AoG-provoking walking tasks, an accelerometer was connected to the lower back of 21 subjects with 12 different walking positions to gather acceleration impulses. The exercise was walking for one minute at each of 12 varied walking speeds on a split-belt treadmill in the range [0.6, 1.7] m/s in 0.1 m/s increments. To reduce the effects of weariness, the speed sequence was randomized and kept a secret from the subjects. Machine-learning algorithms like support vector machine (SVM) and k-nearest neighbours (KNN) have been tested in existing research studies. These algorithms perform well when the amount of data is little and the classification is binary. SVM, KNN, decision trees, and XGBoost algorithms have all been used in the proposed study on the CA data set. We discovered that the AdaBoost algorithm provides a more accurate categorization of the severity of CA disease.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":"64 1","pages":"540 - 549"},"PeriodicalIF":1.9,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44612998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An automated cervical cancer detection scheme using deeply supervised shuffle attention modified convolutional neural network model 一种基于深度监督混洗注意力修正卷积神经网络模型的癌症自动检测方案

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-04-05 DOI: 10.1080/00051144.2023.2196114

K. T., V. J.

{"title":"An automated cervical cancer detection scheme using deeply supervised shuffle attention modified convolutional neural network model","authors":"K. T., V. J.","doi":"10.1080/00051144.2023.2196114","DOIUrl":"https://doi.org/10.1080/00051144.2023.2196114","url":null,"abstract":"Cervical malignant growth is the fourth most typical reason for disease demise in women around the world. In developing countries, women don’t approach sufficient screening methods because of the costly procedures to undergo examination regularly, scarce awareness and lack of access to the medical centre. Recently, deep learning-based radiomic methods have been introduced in differentiating vessel invasion from non-vessel invasion in Cervical Cancer (CC) by multi-parametric Magnetic Resonance Imaging (MRI). However, this model doesn’t produce sufficient results. In this work, the MRI images are initially pre-processed using bilateral filtering. After pre-processing, the image is segmented by modified U-Net model in order to identify the cancerous region. Extraction of deep semantic information from images by using residual blocks in the processes of contractions and expansions. The last layer of the contracting route uses tightly coupled convolutions in the second phase to speed up feature recycling and feature propagation. It was inferred from the observations that the proposed model was effective as a predictive tool for detecting vessel invasions in preoperative early stages of CC. Proposed model produces 94.00% detection accuracy which is better than the other existing methods.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":"64 1","pages":"518 - 528"},"PeriodicalIF":1.9,"publicationDate":"2023-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43442956","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A secured and optimized deep recurrent neural network (DRNN) scheme for remote health monitoring system with edge computing 一种用于边缘计算远程健康监测系统的安全优化的深度递归神经网络（DRNN）方案

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-04-04 DOI: 10.1080/00051144.2023.2195218

D. Pavithra, R. Nidhya, S. Shanthi, P. Priya

{"title":"A secured and optimized deep recurrent neural network (DRNN) scheme for remote health monitoring system with edge computing","authors":"D. Pavithra, R. Nidhya, S. Shanthi, P. Priya","doi":"10.1080/00051144.2023.2195218","DOIUrl":"https://doi.org/10.1080/00051144.2023.2195218","url":null,"abstract":"Patients now want a contemporary, advanced healthcare system that is faster and more individualized and that can keep up with their changing needs. An edge computing environment, in conjunction with 5G speeds and contemporary computing techniques, is the solution for the latency and energy efficiency criteria to be satisfied for a real-time collection and analysis of health data. The feature of optimum computing approaches, including encryption, authentication, and classification that are employed on the devices deployed in an edge-computing architecture, has been ignored by previous healthcare systems, which have concentrated on novel fog architecture and sensor kinds. To avoid this problem in this paper, an Optimized Deep Recurrent Neural Network (O-DRNN) model is used with a multitier secured architecture. Initially, the data obtained from the patient are sent to the healthcare server in edge computing and the processed data are stored in the cloud using the Elliptic Curve Key Agreement Scheme (ECKAS) security model. The data is pre-processed and optimal features are selected using the Particle Swarm Optimization (PSO) algorithm. O-DRNN algorithm hyper-parameters are optimized using Bayesian optimization for better diagnosis. The proposed work offers superior outcomes in terms of accuracy and encryption latency while using computational cloud services.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":"64 1","pages":"508 - 517"},"PeriodicalIF":1.9,"publicationDate":"2023-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45205482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Frequency control scheme based on the CDM-PID controller for the hybrid microgrid system with stochastic renewable generators 基于CDM-PID控制器的随机可再生发电混合微电网频率控制方案

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-03-29 DOI: 10.1080/00051144.2023.2192380

M. Helaimi, H. Gabbar, R. Taleb, M. Regad

{"title":"Frequency control scheme based on the CDM-PID controller for the hybrid microgrid system with stochastic renewable generators","authors":"M. Helaimi, H. Gabbar, R. Taleb, M. Regad","doi":"10.1080/00051144.2023.2192380","DOIUrl":"https://doi.org/10.1080/00051144.2023.2192380","url":null,"abstract":"In this paper, we introduce a Coefficient Diagram Method (CDM) to design a conventional PID controller. This controller is used to decrease the frequency fluctuations of a microgrid system composed of two renewable energy sources (WTG and STPG) and four controlled elements (UC, FESS, BESS and DEG). The method compares two characteristic polynomials of the same order:, the coefficients of the first polynomial are a function of microgrid parameters and the unknown gains of the PID controller. The second is called the target polynomial; its coefficients are calculated by choosing the stability indices and the equivalent time constant to satisfy the desired performances of the closed-loop system. Mathematically, the order of the polynomial controller determines the type of linear system of equations to solve: undetermined or overdetermined. In our application, the least squares method is used to find an approximate solution to the overdetermined system resulting from this comparison. Digital simulation is performed to test the performance of the microgrid controlled by the CDM-PID controller. The obtained results are compared with two recently published works where the parameters of the PID controllers are tuned by DE and chaotic PSO algorithms. The results show that the CDM-PID controller gives better performance.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":"64 1","pages":"484 - 495"},"PeriodicalIF":1.9,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45448804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Stabilization analysis of a class of nonlinear time delay systems with time-varying full-state constraints 一类具有时变全状态约束的非线性时滞系统的镇定分析

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-03-29 DOI: 10.1080/00051144.2023.2190694

Youguo He, Yu Zhou, Dapeng Wang, S. Liu, Xiu-ling Wei

引用次数: 0

Adaptive sliding mode based fault tolerant control of wheeled mobile robots 基于自适应滑模的轮式移动机器人容错控制

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-03-18 DOI: 10.1080/00051144.2023.2190866

Mustafa Ayyıldız, U. Tilki

{"title":"Adaptive sliding mode based fault tolerant control of wheeled mobile robots","authors":"Mustafa Ayyıldız, U. Tilki","doi":"10.1080/00051144.2023.2190866","DOIUrl":"https://doi.org/10.1080/00051144.2023.2190866","url":null,"abstract":"ABSTRACT In this paper, we propose an adaptive sliding mode-based fault tolerant control for mobile robots. While a mobile robot is tracking a given trajectory, several fault cases may occur, such as sensor model and controller faults, changes in the dynamic equation due to robot body shape or weight changes, and loss of actuator effectiveness. Disturbance signals are caused by the actuator faults and, for various reasons, can be considered the primary issue for the robots. In real-time applications, the Sliding Mode Controller (SMC) is insufficient if the robot parameters are unknown, the robot model is non-linear, and the overall system is subject to disturbances. An adaptive law is used to support the SMC to maintain the sliding surface and solve the problems of unknown system parameters, actuator faults, and disturbances. Besides SMC, the kinematic controller is also used, and its gain values are optimized using a neural network and a kinematic controller. The stability of the overall system is proven by using the Lyapunov theory. Besides actuator faults, the system is disturbed by defining a disturbance signal, which is added to the control signals. To show the effectiveness of the proposed controller, it is compared with traditional SMC and PID.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":"64 1","pages":"467 - 483"},"PeriodicalIF":1.9,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42367133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Zero watermarking scheme for privacy protection in e-Health care 用于电子医疗隐私保护的零水印方案

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-03-18 DOI: 10.1080/00051144.2023.2187525

Ayesha Shaik, V. Masilamani

{"title":"Zero watermarking scheme for privacy protection in e-Health care","authors":"Ayesha Shaik, V. Masilamani","doi":"10.1080/00051144.2023.2187525","DOIUrl":"https://doi.org/10.1080/00051144.2023.2187525","url":null,"abstract":"E-health care is an emerging field where health services and information are delivered and offered over the Internet. So the health information of the patients communicated over the Internet has to protect the privacy of the patients. The patient information is embedded into the health record and communicated online which also induces degradation to the original information. So, in this article, a zero watermarking scheme for privacy protection is proposed which protects the privacy and also eliminates the degradation done during embedding of patient information into the health record. This method is based on simple linear iterative clustering (SLIC) superpixels and partial pivoting lower triangular upper triangular (PPLU) factorization. The novelty of this article is that the use of SLIC superpixels and PPLU decomposition for the privacy protection of medical images (MI). The original image is subjected to SLIC segmentation and non-overlapping high entropy blocks are selected. On the selected blocks discrete wavelet transform (DWT) is applied and those blocks undergo PPLU factorization to get three matrices, L, U and P, which are lower triangular, upper triangular and permutation matrix respectively. The product matrix is used to construct a zero-watermark. The technique has been experimented on the UCID, BOWS and SIPI databases. The test results demonstrate that this work shows high robustness which is measured using normalized correlation (NC) and bit error rate (BER) against the listed attacks.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":"64 1","pages":"453 - 466"},"PeriodicalIF":1.9,"publicationDate":"2023-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44824833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation and validation of PV fed reduced switch asymmetric multilevel inverter using optimization based selective harmonic elimination technique 基于优化的选择性谐波消除技术的光伏馈电简化开关非对称多电平逆变器研究与验证

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-02-14 DOI: 10.1080/00051144.2023.2173121

T. Jayakumar, G. Ramani, P. Jamuna, B. Ramraj, G. Chandrasekaran, C. Maheswari, Albert Alexander Stonier, Geno Peter, Vivekananda Ganji

引用次数: 3

Online adaptive optimal tracking control for model-free nonlinear systems via a dynamic neural network 基于动态神经网络的无模型非线性系统在线自适应最优跟踪控制

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-02-13 DOI: 10.1080/00051144.2023.2170058

Yuming Yin, Z. Fu, Yan Lu

引用次数: 1

Fault diagnosis and fault-tolerant control design for neutral time delay system 中立型时滞系统的故障诊断与容错控制设计

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-02-10 DOI: 10.1080/00051144.2023.2176855

Benjemaa Rabeb, Elhsoumi Aicha, Abdelkrim Mohamed Naceur

引用次数: 0