Recently, the people who are under a lot of stress have increased. Too much stress may cause various physical and/or mental disorders. The final aim of our project is to develop a relaxation machine for reducing stres...
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Recently, the people who are under a lot of stress have increased. Too much stress may cause various physical and/or mental disorders. The final aim of our project is to develop a relaxation machine for reducing stress by using rocking vibration. As rocking vibration, motion of a mother's embracing and rocking of a baby is adopted. In this paper, we analyze the motion of the mother's embracing and rocking of a baby using a 3D motion capture system, and design and manufacture an excitation apparatus simulating the mother's motions. It is found from the experimental analysis that there are two types of the mother's motions. The both motions consist of linear motion and rotational motion. The excitation apparatus has two degrees-of freedom for linear and rotational motions.
Worksheet is a common tool for teachers guiding students learning a subject. This research designs an automatic worksheet generator for constructing a worksheet according to the results of student's online exam. W...
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Worksheet is a common tool for teachers guiding students learning a subject. This research designs an automatic worksheet generator for constructing a worksheet according to the results of student's online exam. We focus on the worksheet of botany observation and analyze 47 different activities in the worksheet. The relation between the worksheet activity and its cognitive ability can be used to decide what activity should be constructed based on students' test result. A simple example is demonstrated in the end of this paper.
This paper gives a solution to the problem of verifying stability of networks consisting of integral input-to state stable (iISS) subsystems. The iISS small-gain theorem developed recently has been restricted to inter...
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This paper gives a solution to the problem of verifying stability of networks consisting of integral input-to state stable (iISS) subsystems. The iISS small-gain theorem developed recently has been restricted to interconnection of two subsystems. For large-scale systems, stability criteria re lying only on gain-type information have been successful only in dealing with input-to-state stable stable (ISS) subsystems. To address the stability problem involving iISS subsystems interconnected in general structure, this paper shows how to construct Lyapunov functions of the network by means of nonlinear sum of individual Lyapunov functions of subsystems given in a dissipation formulation under an appropriate small gain condition.
As electroencephalography (EEG) signals contain sensitive personal health information, it is generally a legal requirement to prevent their unauthorized access. For example, the HIPAA in the US requires that acces...
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As electroencephalography (EEG) signals contain sensitive personal health information, it is generally a legal requirement to prevent their unauthorized access. For example, the HIPAA in the US requires that access to personal health information is limited to properly authorized individuals. In this paper, a chaos-based encryption method is proposed to secure patients' EEG data before transmission over an insecure channel. The proposed method employs a multiplexer to dynamically select between two randomly quantized bitstreams for secure key generation. This method is simulated to encrypt the EEG datasets and the statistical properties such as signal distribution, auto and cross-correlation, power spectral density and the residual deviation of the encrypted/original EEG signals are evaluated. The experimental results verify that the proposed method has high security and is suitable for the protection of sensitive EEG data.
This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input ...
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This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input variables. In this study, we consider multivariate polynomials as the nonlinear functions. Unlike multilayer neural networks, the CFLN is free from local minima problem, and it offers very fast learning in parameters because of its linear structure. In the complex domain, polynomial based CFLN has an additional advantage of not requiring activation functions, which is a major concern in the complex-valued neural networks. However, it is important to select a smaller subset of polynomial terms (monomials) for faster and better performance, since the number of all possible monomials may be quite large. In this paper, we use the orthogonal least squares method in a constructive fashion (starting from lower degree to higher) for the selection of a parsimonious subset of monomials. Simulation results demonstrate that computing CFLN in purely complex domain is advantageous than in double-dimensional real domain, in terms of number of connection parameters, faster design, and possibly generalization performance. Moreover, our proposed CFLN compares favorably with several other multilayer networks in the complex domain.
We have developed an empirical method to model bioresponse to the surfaces of biodegradable polymers in a combinatorial library using Artificial Neural Networks (ANN) in conjunction with molecular modeling and machine...
We have developed an empirical method to model bioresponse to the surfaces of biodegradable polymers in a combinatorial library using Artificial Neural Networks (ANN) in conjunction with molecular modeling and machine learning methodology. We validated the procedure by modeling human fibrinogen adsorption to 22 structurally distinct polymers. Subsequently, the method was used to model the more complicated phenomena of rat lung fibroblast and normal human fetal foreskin fibroblast proliferation in the presence of 24 and 44 different polymers, respectively. In each case, the root mean square (rms) percent error of the prediction was substantially less than the experimental variation, showing that the models can distinguish high and low performing polymers based on structure/property information. Using this method to screen candidate materials in terms of specific bioresponse prior to extensive experimental testing will greatly facilitate materials development for biomedical applications.
On average a woman dies in childbirth approximately every 90 seconds, and the majority of these deaths take place in Africa and Asia [1]. While ultrasound imaging is an effective tool for identifying maternal mortalit...
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On average a woman dies in childbirth approximately every 90 seconds, and the majority of these deaths take place in Africa and Asia [1]. While ultrasound imaging is an effective tool for identifying maternal mortality risk factors, it is nearly absent in many rural healthcare facilities in developing regions due to the high costs of both equipment and required training. To leverage existing healthcare systems commonly found in these contexts, we have focused on increasing the diagnostic capabilities of village midwives -- often central medical figures in rural and low-income communities. We have developed a low-cost, portable, easy-to-use ultrasound system designed specifically to enable local midwives to identify high-risk conditions for referral to a well-equipped health care facility. Our focus has been on designing an appropriate system for our context. Specifically, we had to: simplify our user interface, support a solitary work environment, balance cost and features, and create an integrated teaching help system. This paper describes technical, socio-technical, and socio-cultural factors, drawn from our collaboration with the University of Washington department of Radiology and our field experiences with midwives in Uganda, that have influenced our design.
Due to the broadcast nature of the wireless medium, when a source sends a packet to a destination, all its neighbors and neighbors of relay nodes from source to destination can overhear the packet, so there will be ma...
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ISBN:
(纸本)9781457700293
Due to the broadcast nature of the wireless medium, when a source sends a packet to a destination, all its neighbors and neighbors of relay nodes from source to destination can overhear the packet, so there will be many copies of the packet in the network. How to use these copies to increase the coding chance is worth studying. In this paper, a Real-time and High Coding Opportunity discovery scheme (RTHCOD) is proposed, which is realized by appending the current node ID and all its 1-hop neighbors' IDs to the packet. RTHCOD enables the next hop relay node to know which nodes else have already overheard the packet, so it can discover the potential coding opportunities as much as possible. RTHCOD expands the region of discovering coding chance to n-hops, and has more opportunities to execute network coding operation in each relay node. At last, with comparison and analysis between RTHCOD and COPE [2] , RTHCOD is proved to be much more efficient.
In this paper, the public techniques of the Internet of Things are studied, then the application prospect of the Internet of Things is established, after that, encoding card is designed to collect video, and monitor s...
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In this paper, the public techniques of the Internet of Things are studied, then the application prospect of the Internet of Things is established, after that, encoding card is designed to collect video, and monitor security process based on windows flat, using MPEG4 technology to encode the compressed video and audio streams, which can be transported on the network. Moreover, the driver of the card has been implemented and tested to complete communication with windows system, work stability, and as long as put the card on the PCI slot, it can collect video in parallel. So it has an extensive business prospect.
This paper introduces a model for the dynamics of a sorption process from the industrial water supply and sewage treatment industries that is a continuous version of the Roesser state-space model for 2D discrete syste...
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