It has been recently suggested that concrete processes occurring on the Sun (e.g. sunspots) significantly affect the tropical cyclogenesis. Despite this finding the current understanding of the processes that generate...
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ISBN:
(纸本)9781467361408
It has been recently suggested that concrete processes occurring on the Sun (e.g. sunspots) significantly affect the tropical cyclogenesis. Despite this finding the current understanding of the processes that generate tropical cyclones is still limited. We herewith present a new complex monitoring tool for the collection and storage of relevant environmental information to solve the problem of the tropical cyclone prediction. More specifically, a three-level methodology for making decisions on the dynamical evolution of the ocean-atmosphere system is suggested. This methodology is based on a recently proposed environmental instability indicator and the use of sequential analysis process within which a stage of training is established, when all boundaries are located. Effectiveness of this methodology is assessed by examination of several examples of tropical hurricanes. More specifically, it is demonstrated how this tool can be employed to monitor the tropical hurricanes, like Katrina (2005), Irene (2011) and Isaac (2012).
This paper presents the development of quadriceps muscle model based on Functional Electrical Stimulation (FES). Artificial Neural Network (ANN) were used to study the impact of stimulation frequency, pulse width and ...
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This paper presents the development of quadriceps muscle model based on Functional Electrical Stimulation (FES). Artificial Neural Network (ANN) were used to study the impact of stimulation frequency, pulse width and pulse duration towards the output torque produce by paraplegic.722 data are used by randomly divide 70% for training, 15% for validation and another 15% is for testing process. Two types of training approaches which is Levenberg Marquardt Back propagation (LM) and Resilient Back propagation (RP) are used in developing of quadriceps muscle model. The model developed are validate with the clinical data to see the accuracy of the torque output predicted with the identified parameter. From the study, LM is found to be the most accurate with accuracy up to 99.98% The identified parameter used from model developed in this study will be used to control various strategies on the Functional Electrical Stimulation (FES) system.
The constant increase of life expectancy in the last decades is constantly prompting for new and better solutions to support the overstressed medical system. Solutions for tele monitoring of elder patients in their ow...
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The constant increase of life expectancy in the last decades is constantly prompting for new and better solutions to support the overstressed medical system. Solutions for tele monitoring of elder patients in their own homes are seen as one of the key solutions in reducing the financial and human resources demand on a medical system that needs to address a constantly growing number of elder patients with fewer resources. This paper presents an efficient location tracking system design for monitoring elder patients in home environments. This system is designed to be integrated in complex context aware systems, which can provide valuable information and alerts to responsible care takers.
This paper presents a development of quadriceps muscle models using ANFIS and Fuzzy Logic based on Functional Electrical Stimulation (FES). The models inputs parameter consists of stimulation frequency, pulse width, a...
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This paper presents a development of quadriceps muscle models using ANFIS and Fuzzy Logic based on Functional Electrical Stimulation (FES). The models inputs parameter consists of stimulation frequency, pulse width, and sampling time are used to predict quadriceps output torque. The muscle models developed are then validate with the clinical data to evaluate the accuracy of the torque output predicted with the identified parameters. In this study, Fuzzy Logic muscle model gives better performance representing quadriceps muscle model.
In the present study, the Volterra series theory is adopted to theoretically investigate the force transmissibility of multiple degrees of freedom (MDOF) structures, in which an isolator with nonlinear anti-symmetri...
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In the present study, the Volterra series theory is adopted to theoretically investigate the force transmissibility of multiple degrees of freedom (MDOF) structures, in which an isolator with nonlinear anti-symmetric viscous damping is assembled. The results reveal that the anti-symmetric nonlinear viscous damping can significantly reduce the force trans- missibility over all resonance regions for MDOF structures with little effect on the transmissibility over non-resonant and isolation regions. The results indicate that the vibration isolators with an anti-symmetric damping characteristic have great potential to solve the dilemma occurring in the design of linear viscously damped vibration isolators where an increase of the damping level reduces the force transmissibility over resonant frequencies but increases the transmissibility over non-resonant frequency regions. This work is an extension of a previous study in which MDOF structures installed on the mount through an isolator with cubic nonlinear damping are considered. The theoretical analysis results are also verified by simulation studies.
This paper compares 3 ASR 1 control laws, a PI controller, a linearizing feedback and a flatness based control. First, the controllers are designed based on a two state equations vehicle model. Then, the controllers ...
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This paper compares 3 ASR 1 control laws, a PI controller, a linearizing feedback and a flatness based control. First, the controllers are designed based on a two state equations vehicle model. Then, the controllers are experimentally validated on an hybrid vehicle (VELROUE) with rear electric wheels and front axle ICE 2 traction. Finally, the nonlinear control laws are compared to the PI controller that is classically used in the automotive industry.
In order to enable the Web data to be applied in a non-Internet environment, overcoming the timeliness of Web data, this study proposes a domain Web data standardization organization method. The domain Web standardiza...
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This paper describes an application in home automation based on wireless sensor network for monitoring of an electrical network in the consumption and quality of supply energy. The system allows scalability and flexib...
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The use of simulators greatly facilitates the work of specialists. Their usage produces results that could prevent errors in real systems. Using a simulator for industrial plants would reduce the programming time of t...
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This paper present the development of paraplegic quadriceps muscle model based on Functional Electrical Stimulation (FES). A type of modeling, Artificial Neural Network (ANN) were used to investigate the impact of dif...
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This paper present the development of paraplegic quadriceps muscle model based on Functional Electrical Stimulation (FES). A type of modeling, Artificial Neural Network (ANN) were used to investigate the impact of different stimulation frequency, pulse width, pulse duration and settling time on the movement of quadriceps muscle with paraplegia due to a spinal cord injury. 361 training data and 300 testing data set are used in the development of muscle model. Two type of learning approach which is feed-forward backpropagation and cascade-forward backpropagation are considered to develop quadriceps muscle model. The developed model then, validated with clinical data. The model of muscle presented is able to accurately predict muscle torque outputs, along with the variability of the identified parameter. In this study, the feed-forward NN muscle model is found to be the most accurate muscle model representing paraplegic quadriceps muscle model. The established model is then used to predict the behaviour of the underlying system and will be used in the future for the design and evaluation of various control strategies.
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