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We propose a novel approach for the crowd anomaly detection in multiple cameras with non-overlapping view. In this paper, we refer to the activities of crowd in far-field scenes. Firstly, we present a model for learning all of the motion patterns under single camera view, which are regarded as the normal situation. In the surveillance region, we mark the entrances and exits under the single camera...
Here we describe the ongoing development of a unique computer model to simulate the upper-limb during sinusoidal tracking activity on the TheraDrive, a 1 degree of freedom (DOF) haptic stroke rehabilitation system. The model predicts longitudinal muscle forces while simulating Thera-Drive activity to better understand the physiological changes (e.g. muscle dynamics) that arise from stroke and subsequent...
In this paper, a shuttlecock flight trajectory model using Linear ARX and Neural Network ARX (NARX) is proposed and compared. Several ARX and Neural Network ARX model configurations were created. Every Linear ARX and Neural Network ARX model configurations differ in term of number of autoregressive and exogenous components. Every model configurations used the horizontal trajectory as inputs and flight...
Social Network has recently played a significant role in both scientific and social communities. The growing adoption of social network applications has been a relevant source of information nowadays. Due to its popularity, several research trends are emerged to service the huge volume of users including, Location Based Social Networks (LBSN), Recommendation Systems, Sentiment Analysis Applications,...
Robots, due to their excellent speed, accuracy and cost-effectiveness in repetitive tasks, now have a tendency to be used in rehabilitation field. A simple trajectory control of robot arm using flexible pneumatic cylinders and embedded controller which can be used as rehabilitation for human wrist is described. The system consists of the flexible robot arm, an accelerometer, embedded microcomputer,...
Aiming at traffic jams and potential traffic danger and other traffic problems at present, research on trajectory following control based on vehicle to vehicle communication on automatic drive is conducted. Through a simple and accurate vehicle kinematical model, it analyzes the state space of system, establishes model-based system state equations, combined with constraint conditions of practice and...
Travel activities have been widely applied to quantify spatial interactions between places, regions, and nations. In this paper, we model the spatial connectivities between 652 Traffic Analysis Zones (TAZs) in Beijing by a taxi OD dataset. First, we unveil the gravitational structure of intra-urban spatial connectivities of Beijing. Overall, the inter-TAZ interactions are well governed by the Gravity...
The article describes analysis of energetic relations during penetration of pistol bullet through human head substitution. Relation between two essential characteristics of residual wound potential of the bullet after penetration of the head — specific impact energy of the bullet and the depth of bullet penetration into substitute biological material is derived. The general solution of the problem...
We analyze the observability of 3-D pose from the fusion of visual and inertial sensors. Because the model contains unknown parameters, such as sensor biases, the problem is usually cast as a mixed filtering/identification, with the resulting observability analysis providing necessary conditions for convergence to a unique point estimate. Most models treat sensor bias rates as “noise,” independent...
Nonlinear analysis of the classical phase-locked loop (PLL) is a challenging task. In classical engineering literature simplified mathematical models and simulation are widely used for its study. In this work the limitations of classical engineering phase-locked loop analysis are demonstrated, e.g., hidden oscillations, which can not be found by simulation, are discussed. It is shown that the use...
Calabazas Creek Research Inc. (CCR) has examined the feasibility of a grid to control the magnitude and phase of magnetrons. A 650 MHz 100 kW CW magnetron was the focus of the study. Simulations were performed using VSIM, a Particle-in-Cell (PIC) code from Tech-X [1], and the trajectory code Beam Optics Analyzer (BOA) from CCR [2]. VSIM gave moderate resolution simulations of the self-consistent interaction...
This paper relies on the properties of a continuous-time epidemic model with the subpopulations of susceptible-exposed-infectious-recovered epidemic model with finitely distributed delays under a very general, feedback vaccination control rule. The process is subject to eventual perturbations from the equilibrium points which are modeled by Wiener-type noises.
A novel approach is proposed that quantifies the impact of parameter and control implementation inaccuracies on the performance of open loop control policies. Such information can be used to decide whether more laboratory experiments are needed to produce parameter estimates of higher accuracy, or to define performance objectives for lower level control loops which implement the optimal control trajectory...
This paper provides that when the beam current increases to a certain level, the number of ions must be increased and the space charge effect must be added in accelerator physics in order to gain high precise status of ions. It's needed high performance computing to complete this work which needs TFLOPS level capability. So, a PC cluster based on Beowulf architecture and MPI2 was constructed, we put...
The diagram of interactions of a genetic regulatory network is represented in a natural and intuitive way by Boolean or other discrete models. Based largely on the structure of the network, rather than on more detailed kinetic properties of the system, discrete models are very useful to study the qualitative dynamics of the genetic network. Several methods for analysis of genetic networks combine...
Design and engineering of space vehicles involve several different disciplines, each of which have specific research methodologies and software tools. Interaction among the physical analysis tools, as well as collaboration among teams, is a delicate and difficult subject of collaborative engineering research topics. This paper presents a solution based on a new technical and interaction design. We...
The article considers the problem of measuring the level and rate of technical and economic development of countries in terms of technological change. Advantages of cognitive neural network approach to monitoring and quality analysis for integrating into a single model of economic, scientific-technological, innovative and other quantitative and qualitative components of growth, not amenable to traditional...
The article considers the problem of measuring the level and rate of technical and economic development of countries in terms of technological change. Advantages of cognitive neural network approach to monitoring and quality analysis for integrating into a single model of economic, scientific-technological, innovative and other quantitative and qualitative components of growth, not amenable to traditional...
In this paper we have briefly reviewed the Statistical Parametric Speech Synthesis (SPSS ), based on hidden Markov model. The non-mathematical introduction of SPSS have been introduced. Have emphasized the recent emerging techniques used in SPSS like Autoregressive HMM model, Gaussian Process Regression(GPR), Neural Autoregressive Distribution Estimators (NADE) overcoming Restricted Boltzmann Machines...
This work explores methods to investigate the structure of knowledge exchange in discussion forums in massive open online courses (MOOCs) explicitly taking into account changing patterns over time. Various aspects of forum analysis combining different approaches are exemplified with a case of forum discussions from a Coursera MOOC.
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