When an abrupt input is applied to engineering systems, residual vibrations generally occur. These residual vibrations degrade operational performance, reduce productivity, and lower control accuracy; therefore, they ...
When an abrupt input is applied to engineering systems, residual vibrations generally occur. These residual vibrations degrade operational performance, reduce productivity, and lower control accuracy; therefore, they must be eliminated as quickly as possible. Recently, input shaping control methods, which eliminate residual vibrations by appropriately shaping the command input, have received significant attention as a means to control these vibrations. Traditional input shaping control primarily targets systems with a single vibration mode, and even when addressing two vibration modes, it has not systematically classified and handled multi-mode input shapers. In this paper, we systematically classify multi-mode vibrations and design multi-mode input shapers capable of eliminating multi-mode vibrations at once for each category. Additionally, we propose performance indices to evaluate the performance of multi-mode input shapers in cases with multiple vibration modes.
As robot surgery becomes more popular these days, it consequently solicits a high demand on its training system. Currently, most of the systems are intended for personal training, while it may be more effective if an ...
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Vibration-driven locomotion principles are currently of significant interest among designers and researchers dealing with mobile robotics. Among a great variety of robots chasses, the wheeled ones are the most commonl...
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Hydrogen is a promising alternative fuel for internal combustion engines due to its renewable nature, low emissions, and superior combustion performance. In the current research, the effects of hydrogen enrichment wer...
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Trajectory planning plays a crucial role in autonomous driving systems, as it is tasked to generate feasible trajectories under highly dynamic scenarios within the time constraint. This paper proposes a novel two-stag...
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Repeated mild head trauma, specifically concussion, is a risk factor in contact sports such as judo, soccer, and American football. Concussion is a transient disturbance of the consciousness with no clear abnormality ...
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Repeated mild head trauma, specifically concussion, is a risk factor in contact sports such as judo, soccer, and American football. Concussion is a transient disturbance of the consciousness with no clear abnormality on computerized tomography or magnetic resonance imaging, and repeated trauma can cause psychiatric symptoms such as cognitive impairment and depression. Transcranial direct current and deep brain electrical stimulations have been reported to recover movement, consciousness, and cognitive disorders in patients with sequelae of head trauma. However, the mechanism of neuroplasticity induced by the brain stimulation has not been comprehended completely. In this study, we focused on the formation of neural circuits, which is important for the recovery of high brain functions, and we investigated the effectiveness of electrical stimulation on the mechanically injured neurites. Neurons were isolated from the cerebral cortexes of fetal rats and mechanically injured by cutting neurites using a micropipette. Neurite outgrowth was measured via microscopic observation under the following conditions: no electrical stimulation group with mechanical injury (Control), electrical stimulation group with 300 mV/mm, 20 Hz, and 15 min for 3 days before(Pre) or after(Post) mechanical injury, and electrical stimulation group for 3 days before and 3 days after mechanical injury(Pre-Post). When the neurite length after mechanical injury was less than 450 µm, the neurite lengths at day 3 were 650 ± 60 µm in Control, 851 ± 111 µm in Pre, 975 ± 135 µm in Post, and 929 ± 128 µm in Pre-Post. Conversely, when the neurite length after mechanical injury was greater than 450 µm, the neurite lengths at day 3 were 864 ± 69 µm in Control, 1419 ± 137 µm in Pre, 1236 ± 128 µm in Post and 1458 ± 145 µm in Pre-Post. These results indicate that electrical stimulation before injury promotes neurite outgrowth after injury. The stimulation effect decreased after 2 days but continued electrical st
Dynamic analysis plays a crucial role in designing flexure hinges/beams and their composed compliant mechanisms and structures. However, the complexity of nonuniform profiles and variable-curvature curved axes often p...
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Continuum robots have emerged as a promising solution for robotic applications ranging from medical interventions to structural inspections. However, their capabilities are often limited by restricted deformation mode...
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In this study, nerve conduits of chitosan and collagen composites with biocompatibility and biodegradability were fabricated. The effects of material composition and surface morphology on the axonal growth and directi...
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The paper describes the application of machine learning for sentiment analysis in the context of social media and e-commerce. It presents a literature review and an overview of available sentiment analysis methods, su...
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ISBN:
(数字)9798331501273
ISBN:
(纸本)9798331501280
The paper describes the application of machine learning for sentiment analysis in the context of social media and e-commerce. It presents a literature review and an overview of available sentiment analysis methods, such as sentiment classification, the use of lexicons, machine learning methods (e.g., SVM, decision trees), and word embedding techniques. Both traditional approaches and modern solutions based on deep learning are thoroughly *** the practical part of the thesis, sentiment analysis was conducted on data collected from social media platforms such as Twitter and Reddit. Various machine learning algorithms were utilized, and the model's behavior was analyzed based on different activation functions.
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