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This study presents an identification-based construction of the inverse generalized Prandtl-Ishlinskii (P-I) model to facilitate inverse model-based feedforward compensation of asymmetric hysteresis nonlinearities. Compared with the derivation of the inverse model analytically from a generalized P-I model, this direct modeling approach has the following advantages. First, direct inverse model identification...
The size of large-scale scientific datasets created from simulations and computed on modern supercomputers continues to grow at a fast pace. A daunting challenge is to analyze and visualize these intractable datasets on commodity hardware. A recent and promising area of research is to replace the dataset with a distribution based proxy representation that summarizes scalar information into a much...
It is crucial for language models to model long-term dependency in word sequences, which can be achieved to some good extent by recurrent neural network (RNN) based language models with long short-term memory (LSTM) units. To accurately model the sophisticated long-term information in human languages, large memory in language models is necessary. However, the size of RNN-based language models cannot...
Deep neural networks (DNNs), which show outstanding performance in various areas, consume considerable amounts of memory and time during training. Our research led us to propose a controlled dropout technique with the potential of reducing the memory space and training time of DNNs. Dropout is a popular algorithm that solves the overfitting problem of DNNs by randomly dropping units in the training...
Hadoop Map-Reduce has been attracting attention for large-scale image data parallel processing environment for searching and analyzing large-sized images. Hadoop Map-Reduce is a platform for processing large amounts of data, allowing Map-Reduce operations to be processed in parallel to speed up complex tasks. It takes a lot of development time to integrate Hadoop Map-Reduce with various image analysis...
In this article we compare probabilistic and deterministic approaches for estimating the security of information systems. Two parameters of security systems have been determined for compare — the ability to prevent unauthorized entry and deviation the requests with no permissions. Anylogic has been selected as a tool for modelling the information systems security. Two approaches have been used for...
This study presents a Hidden Markov Models(HMM)-based snoring recognition system over the web services environment that consists of the snoring model generation, the recognition system, and the remote device. In design phase, a set of HMM model (snoring and non-snoring) is created from the MFCC feature vectors extracted from the sound corpus consisting of snoring sounds and non-snoring sounds. The...
Recovering the radiometric properties of a scene (i.e., the reflectance, illumination, and geometry) is a long-sought ability of computer vision that can provide invaluable information for a wide range of applications. Deciphering the radiometric ingredients from the appearance of a real-world scene, as opposed to a single isolated object, is particularly challenging as it generally consists of various...
Dynamics properties of shoulder joint and muscle are experimentally identified under different musculoskeletal conditions for a digital human model with accurate dynamics. Passive swing motions of scapula and upper limb bones in cadaveric specimen with and without muscles are measured by an optical motion capture system. External forces that are applied to the scapula bone are simultaneously measured...
At the core of its nature, security is a highly contextual and dynamic challenge. However, current security policy approaches are usually static, and slow to adapt to ever-changing requirements, let alone catching up with reality. In a 2012 Sophos survey, it was stated that a unique malware is created every half a second. This gives a glimpse of the unsustainable nature of a global problem, any improvement...
In this demo, we introduce a Human-Interactive Hardware-In-the-Loop Simulation (HI2LS) framework for evaluating Cooperative Intelligent Transportation Systems (C-ITS) and road safety services. C-ITS is a complex system consisting of Wireless Access in Vehicular Environments (WAVE) communication devices, Human-Machine Interface (HMI), and computing elements to evaluate collision risk. Furthermore,...
The papers present an analysis of the advantages and disadvantages of application joined wing layout for unmanned aerial vehicle. Synthesis of optimal layout by criteria for aerodynamic efficiency, flight duration and weight of the structure are given in the article
This paper analyzes heteroscedasticity in i-vector for robust forensics and surveillance speaker recognition system. Linear Discriminant Analysis (LDA), a widely-used linear dimension reduction technique, assumes that classes are homoscedastic within a same covariance. In this paper it is assumed that general speech utterances contain both homoscedastic and heteroscedastic elements. We show the validity...
This paper presents a method for planning motions of a flexible objects based on precise simulation using Finite Element Method (FEM). The proposed method is applied to ring-shape objects manipulated by robot arms, which is often seen in various applications. Since large deformation is implied, assembly planning with realistic simulation is important to ensure task efficiency for the robot and also...
One to three percentage of world's gross domestic product is being wasted due to automotive accidents and this figure will be increased further without any new commitments to prevent them. Automated driving system is one of the promising commitments and the road detection technology and the steering control technology are two essential technologies for realizing such a system. In this paper, a novel...
Model predictive controller (MPC) has demonstrated its competency in controlling autonomous vehicles. But to apply the current MPC-based schemes, certain compromise or approximations have to be made in order to fit the optimization solvers, e.g. linearizing the nonlinear vehicle model. To eliminate the gaps, in this paper, we propose a nonlinear MPC controller which controls the vehicle velocity and...
This paper introduces improvements to estimate 3D object pose from point clouds. We use point-pair feature for matching instead of traditional approaches using local feature descriptors. In order to obtain high accuracy estimation, a discriminative descriptor is introduced for point-pair features. The object model is a set of point pair descriptors computed from CAD model. The voting process is performed...
This paper proposes a control method of the whole ship Integrated Power System (IPS) with an Active Front End (AFE) converter and a Battery Energy Storage System (BESS). The propulsion inverter which drives the propulsion motor controls the ship speed by controlling the torque of the motor. The AFE converter controls not only the active and reactive power flow at the Point of Common Coupling (PCC)...
In the last few years, the growing popularity of mobile devices with rich wireless communication capabilities has made them attractive to digital viruses and malicious contents. The user mobility and novel proximity-based communication technologies on one hand facilitate the information sharing and dissemination among people, on the other hand they increase the possibility of spreading malware. Understanding...
In this study, the three-dimensional (3-D) transient cold start model is applied to the real-scale polymer electrolyte fuel cell (PEFC) geometry and transient cold-start simulations are carried out from subzero to normal temperatures. In order to reduce the computational turnaround time involving a large numerical mesh with millions of grid points, the cold start code is parallelized for parallel...
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