the compensation problem of external disturbances for MIMO systems with feedforward control (combined control) is considered in the paper. the compensation problem is solved using balanced model representation, and th...
详细信息
the integration of Internet of things (IoT) sensor data with Enterprise Resource Planning (ERP) systems has emerged as a pivotal technology-driven initiative, offering vast potential for process optimization, enhanced...
详细信息
ISBN:
(纸本)9798350385083;9798350385076
the integration of Internet of things (IoT) sensor data with Enterprise Resource Planning (ERP) systems has emerged as a pivotal technology-driven initiative, offering vast potential for process optimization, enhanced data-driven decision-making, and profound business impact. this research endeavors to delve into this integration, comprehensively examining the implications for organizations, with a practical project serving as a proof of concept. the study scrutinizes the intricacies of IoT sensor integration with ERP systems, shedding light on the optimization of business processes and the extraction of valuable data insights. In addition, the research extends its focus towards "smart vision" technologies, aiming to achieve a higher level of automation and real-time decision support. the core of this research lies in the practical project, where a proof of concept is executed to integrate temperature sensors withthe Odoo ERP system. this project serves as a real-world demonstration of the integration's applicability and the tangible benefits it brings. By bridging the gap between theoretical concepts and practical implementation through this proof of concept, the study aims to provide actionable insights for organizations looking to harness the power of IoT sensor data, smart vision, and automation within their ERP systems. the outcomes of this research not only contribute to the growing body of knowledge on IoT-ERP integration but also provide a roadmap for organizations to leverage these technologies effectively in the modern business landscape.
the field of biomechanics has shown tremendous progress in prosthetics withthe emergence of artificial intelligence. Among the forefront technologies developed for a social cause, lower limb exoskeletons (LLE) combin...
详细信息
the article deals withthe problem of determining the parameterizations of a linear controller that provides aperiodic transient processes in a system with interval parameters. To cope withthe above mentioned issue, ...
详细信息
For a single-link rigid robot system, this paper investigates a novel polynomial fuzzy fault detection scheme with a compensation vector. Unmeasurable premise variables are considered, while the stability of the origi...
详细信息
the rapid development of artificial intelligence (AI) technology has provided strong momentum for the innovation of robotics technology. this article comprehensively explores the application of AI in the field of robo...
详细信息
In this work, various methods of designing technological processes are highlighted, their comparative analysis is conducted and general stages are highlighted. Special attention was paid to the analysis of solutions i...
详细信息
Modular robotic systems have been investigated to change the appearance and functions by controlling robotic modules. these reconfigurable modular systems are developed for the interactions between the external enviro...
详细信息
ISBN:
(纸本)9781665408288
Modular robotic systems have been investigated to change the appearance and functions by controlling robotic modules. these reconfigurable modular systems are developed for the interactions between the external environment including humans. Capabilities of compliant interactions are as helpful as those of self-reconfiguration for the modular systems in adapting to the environments. this paper presents a novel concept of a modular robot that has the abilities of compliant actuation and self-reconfiguration to form compliant structures. the authors develop the initial prototype of the modular robots, named Module-W (M-W). Empirical results withthe prototype suggest that M-W has the potential to form compliant structures.
Data selection has a great effect on the performance of trained Convolutional Neural Networks (CNNs) for Brain Machine Interface systems. In this paper, we combine transfer learning and Genetic Algorithms to optimize ...
详细信息
ISBN:
(纸本)9798350307627
Data selection has a great effect on the performance of trained Convolutional Neural Networks (CNNs) for Brain Machine Interface systems. In this paper, we combine transfer learning and Genetic Algorithms to optimize the training data of CNNs. We implement transfer learning between different subjects. the data selected by GA to improve the performance of the CNN after transfer learning can be used to compare the similarity of the brain activity between subjects. the results show that brain data selected by GA improves the CNN recognition accuracy and reduces the training time. In addition, the performance of trained CNN using transfer learning on different days shows that although the performance deteriorates still it is acceptable.
the perpetual changes affecting manufacturing systems caused by highly fluctuating demand and customer requirements make quality management of manufacturing systems more complex. In this context, the implementation of...
详细信息
the perpetual changes affecting manufacturing systems caused by highly fluctuating demand and customer requirements make quality management of manufacturing systems more complex. In this context, the implementation of Reconfigurable Manufacturing systems (RMS) offers decision-makers an efficient solution to cope withthese changes. However, these systems require a large number of modifications and changes handled by workforces who must have an adequate level of qualification and skills. the aim of this paper is to propose a workforce qualification framework in RMS to ensure the skills needed for performing the activities. First, new framework is proposed to define the main phases of workforce qualification in a system requiring several changes. Second, new approach is proposed for workforce skills management and the building of training modules linked to the proposed qualification phases, using a modular design. this work provides decision-makers with a solution for the qualification and management of workforce skills in RMS.
暂无评论