An Era of Future in Nursing – The Robotics
Priyanka Fernandes,
Mani Bijlee
Issue:
Volume 10, Issue 2, June 2022
Pages:
14-16
Received:
10 March 2022
Accepted:
14 April 2022
Published:
7 May 2022
DOI:
10.11648/j.acis.20221002.11
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Abstract: “MAKE USE OF YOUR TIME, IT FLIES FAST”. Background: Today world is running with technology, all the other aspects of intelligence in humans which includes both personal and professional need to be considered for use of technology to ease the task in any field of work. One of the most renowned technologies that seem to be useful and challenging in nursing field is Robotic Nursing. Robots, master in artificial intelligence in field of nursing can be useful in many distinct areas like carrying out of task or may also be useful in cost reduction in hospital sector. These days world or to simply humans run short of time and this technology will become a boon for specialized patient care and it can also cut short the cost of human manpower and it becomes a double advantage to improvise our time with help of technology. Objective: Robotics in nursing is designed to help patients and hospital staffs to perform task such as assisting in activities of daily living, operating electrical appliances or bringing patient bedside according to the patients request.
Abstract: “MAKE USE OF YOUR TIME, IT FLIES FAST”. Background: Today world is running with technology, all the other aspects of intelligence in humans which includes both personal and professional need to be considered for use of technology to ease the task in any field of work. One of the most renowned technologies that seem to be useful and challenging in n...
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Classification Fusion for Bearing Fault Diagnosis with Multi-source Domain Shift
Huang Mu-sheng,
Wu Song-song,
Zheng Shi-yuan,
Yu Xi,
Zhuang Jia-yang,
Jing Xiao-yuan
Issue:
Volume 10, Issue 2, June 2022
Pages:
17-26
Received:
10 May 2022
Published:
12 May 2022
DOI:
10.11648/j.acis.20221002.12
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Abstract: Bearings are one of the most widely used components of rotating machinery, whose failure can cause serious injuries and economic losses, therefore bearing fault diagnosis is an essential step in maintaining the safe and stable operation of industrial processes. Bearing fault diagnosis aims to detect the bearing fault condition and accurately classify it into a fault category based on sensing signals, such as vibration data. In practical applications, bearings always work in different types of equipment and under various working conditions, leading to performance degradation of diagnosis models due to the domain gap between the training data and the test data. Domain adaptation has been developed to address the domain shift problem in bearing fault diagnosis with demonstrated efficacy. Current domain adaptation models focus on the single-source scenario, by ignoring that sensing data may be collected from multiple sources in practical applications, and then be annotated for mode training. In this situation, it is non-trivial to use the single-source domain adaptation model to address the multi-source domain shift problem, because the domain gap exists among the source domains and the target domain. To solve this problem, we propose a novel bearing fault diagnosis model based on classification decision fusion to address the problem of multi-source domain conversion. Firstly, we train a source-aware fault diagnosis model in each source domain and then use it to predict the fault labels of the target samples. Second, a similarity score between each source domain and target domain is computed based on their feature distributions using local discriminant analysis and Maximum Mean Discrepancy. Finally, the similarity scores are used as domain weights in a proposed classification decision fusion strategy that uses a weighted linear combination process of predicted fault labels to provide the final predicted labels for the target samples. The benefits of the adaptive weighting fusion based on the classification result level, which makes full use of the available data from multiple source domains, measures the differences in distribution between the source and target domains and automatically adjust the weights to improve the diagnostic capability of the target domain. The effectiveness of the proposed method for diagnosing bearing faults under different operating and measurement conditions was verified using a bearing data set provided by Case Western Reserve University.
Abstract: Bearings are one of the most widely used components of rotating machinery, whose failure can cause serious injuries and economic losses, therefore bearing fault diagnosis is an essential step in maintaining the safe and stable operation of industrial processes. Bearing fault diagnosis aims to detect the bearing fault condition and accurately classi...
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Research on Autonomous Coordinated Satellite Attitude Control Algorithm of RMFFSR
Issue:
Volume 10, Issue 2, June 2022
Pages:
27-34
Received:
10 May 2022
Published:
12 May 2022
DOI:
10.11648/j.acis.20221002.13
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Views:
Abstract: Aiming at the problem of satellite attitude stability in the space operation task of redundant multi arm free floating space robot (RMFFSR), firstly, the motion model of RMFFSR is studied, and the multi arm generalized Jacobian matrix (MGJM) reflecting the motion relationship between the linear velocity and angular velocity of any manipulator end effector of RMFFSR and the angular velocity of RMFFSR joint in the free floating state is obtained. Secondly, the RMFFSR resolved motion rate control (RMRC) algorithm based on MGJM is provided. At the same time, the satellite attitude stabilization algorithm based on the MGJM for the attitude stability of multi arm coordinated satellite based on RMFFSR arbitrary manipulator and the satellite attitude stabilization algorithm based on the MGJM for the attitude stability of multi joint coordinated satellite based on RMFFSR arbitrary manipulator are researched. Finally, the RMFFSR satellite attitude control system (RSACS) is researched. By combining the multi arm manipulator planning system with the satellite body attitude control system, the motion planning with minimum attitude disturbance of the satellite body is completed; by predicting the angular momentum of the manipulator's attitude disturbance with the satellite body, the satellite body attitude control method based on the prediction of the satellite body attitude disturbance and the autonomous coordinated attitude control algorithm of the RMFFSR manipulator are realized.
Abstract: Aiming at the problem of satellite attitude stability in the space operation task of redundant multi arm free floating space robot (RMFFSR), firstly, the motion model of RMFFSR is studied, and the multi arm generalized Jacobian matrix (MGJM) reflecting the motion relationship between the linear velocity and angular velocity of any manipulator end e...
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