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Convolutional neural network models have covered a broad scope of computer vision applications, achieving competitive performance with minimal domain knowledge. In this work, we apply such a model to a task designed to deter automated systems. We trained a convolutional neural network to distinguish between images of human faces from computer generated avatars as part of the ICMLA 2012 Face Recognition...
This paper considers the problem of inferring the dimensions of non-visible body parts from images of incomplete bodies. This situation often occurs in CCTV videos of crowded scenes where people are mostly occluded. The approach we present relies on the ability to measure an observable body part which correlates to a missing body part. Anthropometric regression equations are then used to predict the...
This paper reports construction of a new device to capture 3D point cloud on human body. The device consists of a horizontal LIDAR, a vertical LIDAR and pan rotational mechanism. The device contain three main features. 1) The device can capture point cloud in large area using combination of the vertical LIDAR and the rotational mechanism. 2) The device can measure dense point cloud using mirror reflection...
We propose a simple probabilistic model of zapping process of television viewers. Our model might be regarded as a ‘theoretical platform’ to investigate the human collective behavior in the macroscopic scale through the zapping action of each viewer at the microscopic level. The stochastic process of audience measurements as macroscopic quantities such as television program rating point or the so-called...
Pedagogically, feedback in CAPT systems can be improved by focusing on the most critical errors rather than presenting all errors to the users at the same time. This paper presents our work on the use of crowdsourcing for collection of gradations of word-level mispronunciations in non-native English speech. Quality control procedures based on the proposed WorkerRank algorithm (adapted from well-known...
In this paper, we propose a general framework to evaluate models of systems that are ill defined, incompletely known, and furthermore, which cannot be experimented in real conditions, such as the economical systems at the country scale, epidemics (for obvious ethical reasons) or any natural disasters, for instance where human lives are the main issue. Our framework relies on the generic Marvin Minsky's...
It has been a decade since the Workshop on Grand Challenge for Modeling & Simulation (M&S) was held at Dagstuhl in Germany (www.dagstuhl.de/02351). Grand challenges provide a critical focal point for research and development and can potentially create the critical mass needed to bring substantial transformation and benefit to a community. The Workshop addressed a wide variety of M&S theoretical,...
Mind is a compound information handling and processing mechanism and consciousness — (the processed information) is the core component of mind. The spirit of consciousness is definite correspondence between substance with some rules or laws. Information processed in the mind approaching from both the outer world (physical world) and the inner world (mind). The information can be represented in many...
One of the challenges in mixed reality (MR) applications is handling contradictory occlusions between real and virtual objects. The previous studies have tried to solve the occlusion problem by extracting the foreground region from the real image. However, real-time occlusion handling is still difficult since it takes too much computational cost to precisely segment foreground regions in a complex...
Knowledge on human eye-hand coordination can be used for human-like system design and medical diagnosis. This document analyses and briefly presents the parameters of the coordination while executing different eye-hand related tasks. Existing quantitative model of manuo-ocular coordination, capable of simulating the human performance in target tracking, is redesigned for a capability to simulate the...
The concepts of wellbeing, globalization and sustainability are analyzed. The advantages and disadvantages of the present globalization situation and the measures set out in Literature to correct the disadvantages and to empower the advantages are studied. The main methods to find the best way to intervene in the world system with the purpose of improving the sustainability of the human style of life...
This paper presents a socio-demographic model defined by sexes and structured by age. The model is a von Foerster-McKendrick model for the dynamics of population by sex and age of a general human population. The fertility and deaths rates are structured by age and they depend on the well-being variable. The well-being variable is defined by UN, HDI-Hybrid. We present the validation of the stochastic...
The recognition of face images is a complicated problem. Face images are often sufferedfrom variations in brightness, head rotation, facial emotions and so on. Besides, amazing abilities of human brain in face recognition in the presence of these variations, contribute to design face recognition systems based on procedure of human brain. Surveying the recognition and perceptual system of human, shows...
Bionic knee was important basic driving element for biped robot. with the adult male's right leg knee working as bionic prototype, the three-dimensional finite element model was established, and the cinnections balance equation was established with the help of nonlinear contact theory, then system penalty function was used to deal with the contact constraint by considering the minimum potential energy...
This paper describes a mathematical identification of time constants for pilot behavior during a helicopter control process. Based on this mathematical identification and a mathematical description of helicopter dynamics, a simulation scheme was built in the Simulink® environment. Subsequently, the analysis of time constant changes in a pilot behavior model during helicopter longitudinal motion was...
The paper proposes the design of a vehicle control system which is able to follow a predefined road trajectory required by the driver with a steering command and a speed command. While the driver reduces the lateral error from the desired path, the control system focuses on the minimization of the yaw rate error. The vehicle maneuvers are supported by two control signals, i.e., the brake yaw moment...
Safeguards and security systems for nuclear facilities include material control and accounting (MC&A) and a physical protection system (PPS) to protect against theft, sabotage and other malevolent human acts. The insider threat is most often addressed as part of the evaluation of a facility's PPS. A PPS is evaluated using probabilistic analysis of adversary paths on the basis of detection, delay,...
In this paper, we present a novel semi-supervised clustering approach based on Markov process. It deals with data which include abundant local constraints. We apply the designed model to a topological region extraction problem, where topological segmentation is constructed based on sparse human inputs (potentially provided by human experts). The model considers human indications as seeds for topological...
In this paper, we propose a method for representing “neighborhoods” of moving objects such as people. By using neighborhoods, it is possible to determine whether the spatial relations between objects and their surrounding spatial information are strong. It can be said that a neighborhood is the spatial area of an object's attention, interest or concern. It is preferable that neighborhoods move while...
Realistic modeling of the movement of people in an environment is critical for evaluating the performance of mobile wireless systems such as urban sensing or mobile sensor networks. Existing human movement models are either fully synthetic or rely on traces of actual human movement. There are many situations where we cannot perform an accurate simulation without taking into account what the people...
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