Maximum heart rate (MHR) is commonly used to estimate exercise intensity with the Karvonen formula, and there are several methods of calculating it. In this study, we used pedaling experiments on a cycle ergometer to ...
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ISBN:
(纸本)9789898565716
Maximum heart rate (MHR) is commonly used to estimate exercise intensity with the Karvonen formula, and there are several methods of calculating it. In this study, we used pedaling experiments on a cycle ergometer to evaluate methods of determining MHR in order to select the ones most suitable for the Karvonen formula. In the experiments, 43 subjects rode an aerobike. The results show that, for people in their 20s, two methods are suitable for estimating exercise intensity with the Karvonen formula. The main physical parameters affecting exercise intensity were also extracted, based on the experimental results.
This paper presents a modal model to describe and facilitate communication design in collaborative settings. This model was conceived of as a tool for understanding the nature of collaboration between artists and scie...
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This paper proposes a modeling and controller design approach for a wind-diesel hybrid system including dump load. The proposed control scheme for power quality is fuzzy PI controller which has advantages of PI and fu...
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In this research, a classification method for human touching behaviors to haptic therapy robot is proposed. It is difficult to apply explicit discrete representation for human touch behaviors such as "slap",...
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ISBN:
(纸本)9781479902255
In this research, a classification method for human touching behaviors to haptic therapy robot is proposed. It is difficult to apply explicit discrete representation for human touch behaviors such as "slap", "pat" due to the existence of intermediate touch behavioral patterns. Therefore a new classification approach for human touch behaviors using Self Organizing Map (SOM) is proposed, using its ability to classify the nearby data in to a group. Further in this research the axis of out put maps are defined to be meaningful by specifying the initial placement of the input data during the training process.
Porous, nanostructured silver samples were produced using a direct-write method where a nanoparticle aerosol consisting of particles with a mean size of approximately 5 nm were accelerated to speeds of approximately 1...
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Porous, nanostructured silver samples were produced using a direct-write method where a nanoparticle aerosol consisting of particles with a mean size of approximately 5 nm were accelerated to speeds of approximately 1000 m/sec and impacted onto a translating substrate [1]. The impacting particles have sufficient energy to stick to the substrate, allowing patterned thick films to be directly written from the aerosol without a mask. Unlike other low temperature processing routes for achieving patterned films, no organics are added that can interfere with postdeposition processing. Typical films are 5- 100 μm thick, up to several centimeters long, and have an as-deposited relative densities as high as 70% of bulk Ag. Compression tests were carried out in steps at room temperature and at 150°C under constant displacement rates. Local strain and densification were measured by optical profilometry between each compression step. The results can be used as a starting point to better understand the mechanisms that govern plasticity, creep, and sintering in nanostructured, porous silver at low processing temperatures.
In the smart grid, collecting data from remote sensors and meters such as phasor measurement units (PMUs) can help ensure safe and reliable operation, avoiding overloads and outages. Since such data is related to crit...
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In the smart grid, collecting data from remote sensors and meters such as phasor measurement units (PMUs) can help ensure safe and reliable operation, avoiding overloads and outages. Since such data is related to critical operation of the power grid, appropriate security schemes should be utilized for secure communications among the components in the smart grid. This paper proposes a key management scheme for secure data communications in a smart grid system. It is a versatile key management scheme in that it can support unicast, multicast and broadcast communications. Moreover, the proposed scheme can be tailored to the hierarchical control system structure of the smart grid. A comparative security cost analysis is performed to illustrate that the proposed scheme can achieve efficient key management.
This study analyzed the numerical values of exothermic reaction of hydrogen storage in metal hydride5 alloy container. The internally controlled water cooling was used to accelerate the internal metal hydride reaction...
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This study analyzed the numerical values of exothermic reaction of hydrogen storage in metal hydride5 alloy container. The internally controlled water cooling was used to accelerate the internal metal hydride reaction rate. Moreover, the entropy increase principle of second law of thermodynamics was used to analyze the results of internal control parameters. The COMSOL Mutilphysics 4.3a numerical software was applied to simulate instantaneous entropy increase of finite element method for two-dimensional axisymmetric model. In addition, the total entropy increase of radius ir and flow rate U of internal control parameters was analyzed, so as to determine and find out the parameter value of minimum power consumption of internal control.
Measuring the survivability of core backbone communication networks to geographic correlated failures is important in network analysis and design. Different measures of network survivability have been used in the lite...
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Measuring the survivability of core backbone communication networks to geographic correlated failures is important in network analysis and design. Different measures of network survivability have been used in the literature, for example, Algebraic Connectivity, Network Criticality, Average Shortest Path, Network Diameter, Node Degree and Node Strength. This paper proposes a new performance measure Weighted Spectrum to evaluate network survivability regarding geographic correlated failures. Further we conduct a comparative analysis by finding the most vulnerable geographic cuts or nodes in the network though solving an optimization problem to determine the cut with the largest impact for each measure. Numerical results on several sample network topologies show that the worst-case geographic cuts depend on the measure used in an unweighted graph. The proposed Weighted Spectrum measure is shown to be more versatile than other measures in unweighted and weighted graphs.
Educational robotics classes consist of the use of robots in classes that involve interdisciplinary or social themes, creating innovative learning environments involving the use of such technology. In the usually know...
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ISBN:
(纸本)9781479934775
Educational robotics classes consist of the use of robots in classes that involve interdisciplinary or social themes, creating innovative learning environments involving the use of such technology. In the usually known approach, educational robotics uses robotics kits. We developed a robotic simulator, called S-Educ, which can be used as an alternative or in association with robotics kits in classes involving the use of robotics. Simulators are not replacements of robotics kits, but an alternative for cases where the kits can not be used or they are not appropriate. Tests were carried out to analyze the use of the simulator, obtaining good results on the application of this simulator in educational robotics classes.
This paper proposes the use of Group Method of Data Handling (GMDH) technique for modeling Magneto-Rheological (MR) dampers in the context of system identification. GMDH is a multilayer network of quadratic neurons th...
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This paper proposes the use of Group Method of Data Handling (GMDH) technique for modeling Magneto-Rheological (MR) dampers in the context of system identification. GMDH is a multilayer network of quadratic neurons that offers an effective solution to modeling non-linear systems. As such, we propose the use of GMDH to approximate the forward and inverse dynamic behaviors of MR dampers. We also introduce two enhanced GMDH-based solutions. Firstly, a two-tier architecture is proposed whereby an enhanced GMD model is generated by the aid of a feedback scheme. Secondly, stepwise regression is used as a feature selection method prior to GMDH modeling. The proposed enhancements to GMDH are found to offer improved prediction results in terms of reducing the root-mean-squared error by around 40%.
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