Wireless Sensor Network technologies have become a latest research area in health care industries due to rapid maturity in improving the quality of life of a patient. Wireless Sensor Networks when work in medical fiel...
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ISBN:
(纸本)9781509012855
Wireless Sensor Network technologies have become a latest research area in health care industries due to rapid maturity in improving the quality of life of a patient. Wireless Sensor Networks when work in medical field provide continuous monitoring of vital health parameters which over a long period of time provide doctors much needed help to make accurate diagnosis and giving better treatment. In this paper we propose a model which monitors various health parameters like heart rate (bpm), body temperature, blood pressure monitor (mm Hg) and ECG (Electrocardiogram) of an individual. The collected data through the system is then transferred over the internet to a smartphone application of the patient. This data is transferred to the registered doctors on to their smartphone application as well as standalone computers. The doctor can then prescribe the medication based on the data results shown by the system. The designed prototype will reduce the burden on patients to visit the doctor every time for monitoring of these health parameters.
Wireless Sensor Network technologies have become a latest research area in health care industries due to rapid maturity in improving the quality of life of a patient. Wireless Sensor Networks when work in medical fiel...
详细信息
ISBN:
(纸本)9781509012862
Wireless Sensor Network technologies have become a latest research area in health care industries due to rapid maturity in improving the quality of life of a patient. Wireless Sensor Networks when work in medical field provide continuous monitoring of vital health parameters which over a long period of time provide doctors much needed help to make accurate diagnosis and giving better treatment. In this paper we propose a model which monitors various health parameters like heart rate (bpm), body temperature, blood pressure monitor (mm Hg) and ECG (Electrocardiogram) of an individual. The collected data through the system is then transferred over the internet to a smartphone application of the patient. This data is transferred to the registered doctors on to their smartphone application as well as standalone computers. The doctor can then prescribe the medication based on the data results shown by the system. The designed prototype will reduce the burden on patients to visit the doctor every time for monitoring of these health parameters.
The use of neural network models for time series forecasting has been motivated by experimental results that indicate high capacity for function approximation with good accuracy. Generally, these models use activation...
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The use of neural network models for time series forecasting has been motivated by experimental results that indicate high capacity for function approximation with good accuracy. Generally, these models use activation functions with fixed parameters. However, it is known that the choice of activation function strongly influences the complexity and neural network performance and that a limited number of activation functions has been used in general. We describe the use of an asymmetric activation functions family with free parameter for neural networks. We prove that the activation functions family defined, satisfies the requirements of the universal approximation theorem We present a methodology for global optimization of the activation functions family with free parameter and the connections between the processing units of the neural network. The main idea is to optimize, simultaneously, the weights and activation function used in a Multilayer Perceptron (MLP), through an approach that combines the advantages of simulated annealing, tabu search and a local learning algorithm. We have chosen two local learning algorithms: the backpropagation with momentum (bpm) and Levenberg-Marquardt (LM). The overall purpose is to improve performance in time series forecasting. (c) 2013 Elsevier Ltd. All rights reserved.
A novel triplexer chip based on an asymmetric Y branch waveguide and a multimode interference is presented in this paper. Using the novel triplexer chip, a 1310nm channel is multiplexed and 1490nm and 1550nm channels ...
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ISBN:
(纸本)9783037851753
A novel triplexer chip based on an asymmetric Y branch waveguide and a multimode interference is presented in this paper. Using the novel triplexer chip, a 1310nm channel is multiplexed and 1490nm and 1550nm channels are demultiplexed for FTTH using. The asymmetric Y branch waveguide is used to separate the 1310nm channel from the 1490nm and 1550nm channels. Then the multimode interference is used to demultiplex the 1490nm from 1550nm channel. The simulated spectra show the bandwidths of three response wavelengths are 100nm, 20nm and 10nm, respectively, which can meet the demand of ITU.984 completely. The isolation for 1310nm is more than 48dB, and the isolation between 1490nm and 1550nm is more than 37dB.
In this letter, the back-propagation algorithm with the momentum term is analyzed. It is shown that ail local minima of the sum of least squares error are stable. Other equilibrium points are unstable.
In this letter, the back-propagation algorithm with the momentum term is analyzed. It is shown that ail local minima of the sum of least squares error are stable. Other equilibrium points are unstable.
An asymptotic analysis is made of the bpm algorithm, leading to the derivation of ray and transport equations. A second-order equation is derived the properties of which are compared with those of the true wave-equati...
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An asymptotic analysis is made of the bpm algorithm, leading to the derivation of ray and transport equations. A second-order equation is derived the properties of which are compared with those of the true wave-equation. The implications of the results for the interpretation of bpm computations are discussed.
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