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Wearable devices such as prosthetics, exoskeleton, robotic manipulator, orthosis are necessary for training rehabilitation process for disabled people. They require a compact size, a light weight and a safe interact between people and equipment. This paper proposes a design and analysis of a new gear-driven compliant torsional spring for rehabilitation device of an upper limb. The device consists...
In this paper, we study the link-oriented tasks in signed network, i.e., labeling link signs and predicting new links. Usually, prior arts directly focus on the link signs, while their intrinsic structural regularities have been largely ignored. Furthermore, these techniques suffer the sensitiveness to the high dimension and sparsity of networks. To deal with these tasks, with verifying the effect...
In this paper, we present a gradient algorithm to identify a damping rate function for a non-Markovian single qubit system. The dynamics of the single qubit system in a non-Markovian environment are assumed to obey a time convolutionless master equation, where all the non-Markovian effects of the environment are combined in the unknown damping rate function. To identify the damping rate function,...
The ability to conduct fast and reliable simulations of dynamic systems is of special interest to many fields of operations. Such simulations can be very complex and, to be thorough, involve millions of variables, making it prohibitive in CPU time to run repeatedly for many different configurations. Reduced-Order Modeling (ROM) provides a concrete way to handle such complex simulations using a realistic...
In recent years, several new methods for missing data estimation have been developed. Real world datasets possess the properties of big data being volume, velocity and variety. With an increase in volume which includes sample size and dimensionality, existing imputation methods have become less effective and accurate. Much attention has been given to narrow Artificial Intelligence frameworks courtesy...
In recent years, semantics-based crossover operators have attracted attention for efficient search in Genetic Programming (GP). Geometric Semantic Genetic Programming (GSGP) is one of the methods, in which a convex combination of two parents is used for creating an offspring. We have previously proposed an improved GSGP, Deterministic GSGP. In Deterministic GSGP, the convex combination is relaxed...
In human face-to-face communication, embodied sharing using the synchrony of embodied rhythms is promoted by embodied interactions. Therefore, embodied interactions are important for smoothly initiating coexistence and communication. When there is embodied interactions with direct contact, it plays to synchronize embodied rhythms effectively. Hug behavior is one of the types of embodied interactions...
This paper discloses the development of a phase oscillator model for radiotherapy which predicts future position of the lung tumor based on the current and past phase of lung tumor, respiration waveform and heartbeat measurements. We assumed that these phases can be measured at the same time, and tried the prediction of 0.15s ahead of time of the superior-inferior direction of a lung tumor motion...
In this paper, we propose a mechanism for cancer cell differentiation therapy based on a game-theoretic rough set model with intuitionistic fuzzy set. We introduce an intuitionistic fuzzy relation with the help of fuzzy compatibility relation. The approximation space classification is controlled with a pair of intuitionistic fuzzy thresholds. It provides a flexibility to set up tolerance level depending...
We present a deep learning architecture for learning fuzzy logic expressions. Our model uses an innovative, parameterized, differentiable activation function that can learn a number of logical operations by gradient descent. This activation function allows a neural network to determine the relationships between its input variables and provides insight into the logical significance of learned network...
This paper explores the predictive power of perhaps the most well-supported human performance model in the context of a complex ecological task. The model is Fitts Law, which describes the classic speed-accuracy tradeoff of goal-directed motor behavior. The task is modern pistol shooting competition, which demands explicit cognitive strategy and full-body biomechanical coordination. Data obtained...
Voltage magnitudes in transmission power systems must be kept within the limits defined by regulatory agencies for safe operations. Thus, this paper proposes an approach to determine and apply a sequence of adjustments to control the voltage magnitude in such systems. The adjustments follow two methodologies based on a reduced Jacobian matrix (Jqv) of the system power balance equations. Computational...
It is shown that the excessive inhalation of PM (Particulate Matter) 2.5 will seriously affect the health of human. Many countries have deployed various detectors for air pollution in order to report concentration of PM2.5 to show how much seriousness of air pollution is. But, what more important is how much PM 2.5 has been inhaled by people anytime and anywhere. Therefore, in this paper, we propose...
Science of Neural Networks, and even much more so computing applications, have undergone developments beyond any predictions since McCullock-Pitts artificial neuron (1943) up via Hopfield's neurons (1982, 1984) to Kasabov spiking-neurons neucube (2014) and evolving connectionist systems (2003). Still computational functionality of all kinds of neural network implies guaranteed operating steady-state...
Deep learning has been proposed for soft sensor modeling in process industries. However, conventional deep neural network (DNN) is a static network and thereby can not embrace evident dynamics in processes. Motivated by nonlinear autoregressive with exogenous input (NARX) model and neural nets based dynamic modeling, a dynamic network called NARX-DNN is put forward by further utilizing historical...
This paper applies a recurrent higher-order neural network for sliding-mode pinning control of complex networks for achieving trajectory tracking. This control strategy does not require having the same coupling strength for all node connections on the network. The tracking effectiveness and dynamical behavior of the controlled network is illustrated via simulations.
This paper presents one step toward creating the building blocks for machine intelligence that is inspired by its biological equivalent. The authors' quantum learning methods (deep quantum learning) are applied to quantum devices whose quantum bit (q-bit) activity is deliberately chosen to mimic the spiking behavior of biological neurons. Because of the "quantum" scale of these computers,...
A myoelectric prosthesis, which can be used as a replacement for a person's upper limb, is able to control many hand motions optionally via surface electromyography (sEMG). Although many researchers have developed myoelectric prostheses that realize various motions, evaluation of their practicality has only been carried out on small numbers of patients. To solve this problem, a myoelectric prosthesis...
In this paper, we propose a computational modeling method to investigate head-eye coordination in face-to-face behavior. The method looks into probability density of individuals' head orientation during looking at others' face. We conducted experiment under two different scenarios in human-human interaction. Under each scenario, individuals' head orientation could be fitted with one Gaussian distribution...
We present a method to assist pre-touch on multi-touch surfaces using features extracted from the fingertips of the user's hands. Pixel area a feature obtained from the contour of a fingertip is computed and tracked using commodity cameras to obtain the velocity of approaching fingers. We target sound volume control for digital multi-touch instruments an area where pre-touch is demonstrated with our...
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