Automatika最新文献_第10页

Event-triggered adaptive robust fault-tolerant control for a class of uncertain switched nonlinear systems 一类不确定切换非线性系统的事件触发自适应鲁棒容错控制

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-07-21 DOI: 10.1080/00051144.2023.2236855

Dong-Mei Li, Xiqin He, Libing Wu, Qingkun Yu

引用次数: 0

A dynamic weight multi-objective model predictive controller for adaptive cruise control system 自适应巡航控制系统的动态权重多目标模型预测控制器

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-07-10 DOI: 10.1080/00051144.2023.2231713

Shufeng Wang, Baokang Zhang, Yadong Yuan, Zhe Liu

{"title":"A dynamic weight multi-objective model predictive controller for adaptive cruise control system","authors":"Shufeng Wang, Baokang Zhang, Yadong Yuan, Zhe Liu","doi":"10.1080/00051144.2023.2231713","DOIUrl":"https://doi.org/10.1080/00051144.2023.2231713","url":null,"abstract":"Adaptive cruise control (ACC) is recognized as an effective method to improve vehicle safety and reduce driver workload. This paper proposes a whole hierarchical multi-level state ACC system. According to the function of ACC system, the three-level state ACC system is designed and the conversion mechanism between different states is put forward. As for the complex car-following mode, considering the variable headway safety distance and the road adhesion coefficient, the expected safety distance model is established, using the distance error and the speed error as fuzzy input, based on the fuzzy control algorithm, the following mode is obtained; considering vehicle safety, tracking capability and ride comfort, the control objectives are formulated into the model predictive control algorithm. A dynamic weight strategy is proposed to solve time-varying multi-objective control problems, where the weight can be adjusted with respect to different following conditions. The simulation results demonstrate that the car following performance of ACC with the proposed dynamic weighted MPC can provide better performance than that using constant weight MPC, and the multi-level state ACC system can display the control mode more intuitively.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41449999","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

A novel solar photo voltaic powered drive for the SRM for irrigation purposes using a partial resonant AC link DC to a DC boost converter 一种用于灌溉目的的新型太阳能光伏驱动SRM，使用部分谐振交流链路直流-直流升压转换器

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-07-06 DOI: 10.1080/00051144.2023.2225343

R. Selvi, R. Malar

引用次数: 0

Flexible FPGA 1D DCT hardware architecture for HEVC 用于HEVC的灵活FPGA 1D DCT硬件架构

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-07-04 DOI: 10.1080/00051144.2023.2228580

H. Mlinaric, Alen Duspara, Daniel Hofman, J. Knezović

{"title":"Flexible FPGA 1D DCT hardware architecture for HEVC","authors":"H. Mlinaric, Alen Duspara, Daniel Hofman, J. Knezović","doi":"10.1080/00051144.2023.2228580","DOIUrl":"https://doi.org/10.1080/00051144.2023.2228580","url":null,"abstract":"In this work, we propose a flexible 1D DCT hardware design with a constant throughput of 32 pixels per cycle for all transform block (TB) size modes. The design supports all TB sizes defined in the HEVC standard. Flexibility is achieved by multiplexing only the outputs, which results in lower data path delays compared to other proposed designs. Also, the additional partial butterfly units are transferred to the output of transformation cores. The transformation operation is done in a single stage to minimize the latency of the design and reduce hardware usage. The highly parallel input reduces the need for a very high operational frequency, which is suitable for low-power FPGA designs. Four different reusable transformation cores are used that are designed using parallel Multiple Constant Multiplication (MCM) units to further reduce the calculation time. The design was implemented on the Virtex UltraScale + device. The implementation has hardware usage of 21,818 LUTs, and it can reach the maximal throughput of 4.90 Gsps at the working frequency of 153 MHz which is enough to support the video resolutions of up to 8192 × 4320@60fps. Comparison with the other works shows that DCT FPGA implementation without DSPs can reach the performance of the ASICs with trade-offs in power consumption.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41787316","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

MPSO-based PID control design for power factor correction in an AC-DC boost converter 基于mpso的交直流升压变换器功率因数校正PID控制设计

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-07-04 DOI: 10.1080/00051144.2023.2225918

J. Guarnizo, C. Torres-Pinzón, J. Bayona, D. Paez, J. P. Romero, B. Noriegaa, L. Paredes-Madrid

{"title":"MPSO-based PID control design for power factor correction in an AC-DC boost converter","authors":"J. Guarnizo, C. Torres-Pinzón, J. Bayona, D. Paez, J. P. Romero, B. Noriegaa, L. Paredes-Madrid","doi":"10.1080/00051144.2023.2225918","DOIUrl":"https://doi.org/10.1080/00051144.2023.2225918","url":null,"abstract":"This paper presents the implementation for the first time of a Multi-Particle Swarm Optimization (MPSO) algorithm in the tuning of a PID controller for Power Factor Correction (PFC), applied to a 100W AC-DC boost converter. MPSO algorithm navigates in a search space where each dimension of the space corresponds to the controller constants (Proportional, Integral, Derivative and the Derivative Filter), prioritizing communication over exploration in the algorithm. The controller parameters are randomly initialized in a reduced sector of the space [ , , , ], to optimize the search for a PID solution. In the first step, the algorithm is validated using a simulation model in Simulink and Matlab. Subsequently, a final implementation using a real converter is implemented with the PID tuned by MPSO, improving the PFC obtained in previous work. Although previous works have used evolutionary algorithms applied to heuristic optimization to tunning PID controllers, the MPSO algorithm is not usually used for this purpose, particularly to tunning a PID controller in a power electronics system. One advantage of MPSO over the PSO classical algorithm is the search at different points if the vectorial field looks for an optimal solution. PSO presents problems such as getting stuck in a locally optimal solution. The PID controller is trained offline, with the advantage of allowing the risk of damage in the Boost converter for transitory response, increasing the performance of the Power Factor Correction in the converter. This research opens the possibility to use the extended version of the PSO bioinspired algorithm to tune offline controllers to improve the power converter's performance, minimizing the risk presented in the real-time tuning process.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49136014","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

GBDTMO: as new option for early-stage breast cancer detection and classification using machine learning GBDTMO:作为机器学习早期乳腺癌检测和分类的新选择

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-06-27 DOI: 10.1080/00051144.2023.2226946

Vibith A. S., Jobin Christ M C

{"title":"GBDTMO: as new option for early-stage breast cancer detection and classification using machine learning","authors":"Vibith A. S., Jobin Christ M C","doi":"10.1080/00051144.2023.2226946","DOIUrl":"https://doi.org/10.1080/00051144.2023.2226946","url":null,"abstract":"Breast cancer is the second leading cause of disease death in women, after lung and bronchus cancer. According to measurements, mammography misses breast cancer in 10% to 15% of cases for women aged 50 to 69 years. In the current study, we used the Wisconsin breast cancer dataset to develop a two-stage model for breast cancer diagnosis. The main goal of this study effort is to effectively carry out feature selection and classification tasks. Gradient Boosting Decision Tree-based Mayfly Optimisation (GBDTMO), an innovative and efficient breast cancer diagnostic machine learning system, is provided. In the second stage, we employ a Mayfly search to determine which subset of traits is the best. Two more well-known datasets on breast cancer, the ICCR and the Cancer Corpus, were also compared for classification accuracy. The accuracy of the suggested GBDTMO model was higher than that of the existing GBDT and Practical Federated Gradient Boosting Decision Tree (PFGBDT), which had accuracy values of 93.25% and 94.25%, respectively. Similarly, the recall, F-measure, and ROC area values were 98.52%, 97.52%, and 96.32%, respectively. Furthermore, it demonstrated a lower RMSE of 0.98 than the existing GBDT and PFGBDT.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48599041","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

Automated program and software defect root cause analysis using machine learning techniques 自动化程序和软件缺陷的根本原因分析使用机器学习技术

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-06-27 DOI: 10.1080/00051144.2023.2225344

C. Anjali, Julia Punitha Malar Dhas, J. Amar Pratap Singh

引用次数: 0

Optimization of virtual machines performance using fuzzy hashing and genetic algorithm-based memory deduplication of static pages 基于模糊哈希和遗传算法的虚拟机性能优化

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-06-27 DOI: 10.1080/00051144.2023.2223479

N. Jagadeeswari, V. Mohanraj, Y. Suresh, J. Senthilkumar

{"title":"Optimization of virtual machines performance using fuzzy hashing and genetic algorithm-based memory deduplication of static pages","authors":"N. Jagadeeswari, V. Mohanraj, Y. Suresh, J. Senthilkumar","doi":"10.1080/00051144.2023.2223479","DOIUrl":"https://doi.org/10.1080/00051144.2023.2223479","url":null,"abstract":"The demand for memory capacity has increased, and cloud energy usage has soared. The performance and scalability of virtualization interfaces in cloud computing are hampered by a lack of sufficient memory. To figure out this problem, a technique defined as memory deduplication is widely used to reduce memory consumption utilizing the page-sharing method. However, this method of memory deduplication using KSM has significant drawbacks, such as overhead owing to many online comparisons, which will consume so many CPU resources. In this research, a modified approach of Memory Deduplication of Static Memory Pages (mSMD), which is based on the identification of similar applications by Fuzzy hashing and clustering them using the Hierarchical Agglomerative Clustering approach, followed by similarity detection between static memory pages based on Genetic Algorithm and details stored in Multilevel shared page table, both operations performed in offline and final memory deduplication is carried out during online, is proposed for achieving performance optimization in virtual machines by reducing memory capacity requirements. When compared to existing techniques, the simulation results indicate that the proposed approach mSMD efficaciously minimizes the memory capacity required while improving performance.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42048660","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

Deep learning model for traffic flow prediction in wireless network 无线网络交通流量预测的深度学习模型

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-06-21 DOI: 10.1080/00051144.2023.2220203

A. Kavitha, S. Mary Praveena

引用次数: 0

Enhanced EEG classification using adaptive DWT and heuristic-ICA algorithm 采用自适应小波变换和启发式ica算法增强脑电分类

IF 1.9 4区计算机科学

Automatika Pub Date : 2023-06-13 DOI: 10.1080/00051144.2023.2220207

P. Visu, P. Smitha, M. Velayutham, Mohd Wazih Ahmad

{"title":"Enhanced EEG classification using adaptive DWT and heuristic-ICA algorithm","authors":"P. Visu, P. Smitha, M. Velayutham, Mohd Wazih Ahmad","doi":"10.1080/00051144.2023.2220207","DOIUrl":"https://doi.org/10.1080/00051144.2023.2220207","url":null,"abstract":"Electroencephalography (EEG) signals contain important information about the inner functioning of the brain. Effective extraction of this information will help in the detection of brain-related health conditions and emotions of a person or it can also be used as a communication medium between humans and machines. In our proposed system, we introduced Adaptive DWT by combining the temporal resolution capability of DWT, with the special capability of Fourier transform to remove the artefacts in the signal. This is achieved by using an adaptive thresholding function rather than hard or soft thresholding to improve the quality parameters of the signal. The proposed filtering model has improved the Signal to Noise ratio when compared to traditional filtering techniques. EEG features are extracted with the help of Heuristic-Independent Component Analysis (ICA) by applying covariance to equalize or improve the data. The main drawback with the existing CNN algorithm is gradient vanishing during training, this reduces the overall performance of the algorithm during classification. Therefore, using the memory function to store the previous value of iteration improves the classification accuracy and reduces the gradient vanishing problem. The proposed technique is found to have better accuracy of about 98% in classifying autism and epilepsy datasets.","PeriodicalId":55412,"journal":{"name":"Automatika","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2023-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44823544","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