this paper introduces a comparison of a linear and nonlinear one step predictive models that were used to describe the relationship between human emotional signal - excitement - as a reaction to a virtual 3D face feat...
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this paper introduces a comparison of a linear and nonlinear one step predictive models that were used to describe the relationship between human emotional signal - excitement - as a reaction to a virtual 3D face feature - distance between eyes. An input-output model building method is proposed that allows building a stable model withthe least output prediction error. Validation was performed using the recorded signals of six volunteers and the following measures: prediction error standard deviation, relative prediction error standard deviation, and average absolute relative prediction error. Validation results of the models showed that both models predict excitement signal in relatively high prediction accuracy.
Analyzing and improving large urban traffic networks is a difficult process due to complex interrelationships between the many variables that impact vehicle traffic behavior. Information visualization techniques can f...
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ISBN:
(纸本)9789897580055
Analyzing and improving large urban traffic networks is a difficult process due to complex interrelationships between the many variables that impact vehicle traffic behavior. Information visualization techniques can facilitate the tasks of analyzing large amounts of data and of exploring potential solutions to practical traffic problems. Surprisingly, there is a relative lack of investigation focused on how information visualization techniques should be applied and adapted to the field of Traffic Engineering. this paper presents an overview of what has been done on this topic by reviewing the use of information visualization in traffic systems over the years, and highlighting the current state-of-the-art by focusing on several innovative pieces of research. We provide a classification of the reviewed work and identify areas that have been understudied.
the Center for Disease control (CDC) distributes Vaccine Information Statements (VIS) documentation to clinician to inform patients of the benefits and risk of the vaccines that are available. the effectiveness of the...
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the Center for Disease control (CDC) distributes Vaccine Information Statements (VIS) documentation to clinician to inform patients of the benefits and risk of the vaccines that are available. the effectiveness of the learning and comprehension has been reported to have been insufficient, particularly with population with lower than average literacy rates. this paper introduces a proof of concept mobile application, driven by a vaccine ontology based on a sample set of VIS documents, as a possible solution.
Automated distribution warehouses in which pallet and roll pallet loads are transported by means of forklift AGVs are considered in this work, withthe objective of defining a mathematical model which accurately repre...
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ISBN:
(纸本)9781479979202
Automated distribution warehouses in which pallet and roll pallet loads are transported by means of forklift AGVs are considered in this work, withthe objective of defining a mathematical model which accurately represents the behaviour of AGVs in the system. AGVs can move freely in the warehouse (an open path AGV system is adopted), and their transportation activities can be modelled as a sequence of elementary or basic actions. In the paper, a coloured Petri net (CPN) model is proposed. It allows representing any sequence of elementary actions of AGVs (including pick-up and drop-off activities), and accurately models the interactions among AGVs, in order to guarantee the safety during the execution of activities. the CPN model can be used to analyse and implement deadlock prevention and deadlock recovery strategies, and it has been adopted in the building of a discrete-event simulator which is employed to analyse the system's performance and to evaluate scheduling policies for transportation tasks.
Humanoid robots are conceived to resemble the body and comportment of the human beings. Among the behavior repertoire, the possibility of executing visually-guided tasks is crucial for individual adaptation and relies...
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ISBN:
(纸本)9781479979202
Humanoid robots are conceived to resemble the body and comportment of the human beings. Among the behavior repertoire, the possibility of executing visually-guided tasks is crucial for individual adaptation and relies on the on-board sensory system. However, the research on walk and localization is far from conclusive. Given the difficulties in the processing of the visual feedback, some studies have treated the problem by placing external sensors on the environment;thus neglecting the corporal metaphor. Others, despite exploring on-board solutions;have relied on an extensive model of the environment, thus considering the system as an information processing unit, abstracted from a body. this work presents a methodology to achieve embodied localization to serve visually-guided walk. the solution leans on robust segmentation from monocular vision, ego-cylindrical localization, and minimal knowledge about stimuli in the environment.
Traffic and road transport conditions are strongly influenced by the decisions of drivers. the more information they receive, the better decisions may be taken about their behavior. this is especially important in the...
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ISBN:
(纸本)9781479979202
Traffic and road transport conditions are strongly influenced by the decisions of drivers. the more information they receive, the better decisions may be taken about their behavior. this is especially important in the transport of goods, since drivers are subject to traffic laws about maximum driving time and minimum time rest. In this paper a multi-agent system for negotiated management of parking spaces in road rest areas is presented. this system dynamically adapts itself to the preferences and needs of the drivers of goods about parking requests. the system is shown to be robust to incidents regarding the closure of road rest areas and an increased volume of freight traffic. the results also show that the number of illegal parkings is reduced resulting in greater road safety.
In this paper, we present a robotic system capable of mapping indoor, cluttered environments and, simultaneously, detecting people and localizing them with respect to the map, in real-time, using solely a Red-Green-Bl...
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ISBN:
(纸本)9781479979202
In this paper, we present a robotic system capable of mapping indoor, cluttered environments and, simultaneously, detecting people and localizing them with respect to the map, in real-time, using solely a Red-Green-Blue and Depth (RGB-D) sensor, the Microsoft Kinect, mounted on top of a mobile robotic platform running Robot Operating System (ROS). the system projects depth measures in a plane for mapping purposes, using a grid-based Simultaneous Localization and Mapping (SLAM) approach, and pre-processes the sensor's point cloud to lower the computational load of people detection, which is performed using a classical technique based on Histogram of Oriented Gradients (HOG) features, and a linear Support Vector Machine (SVM) classifier. Results show the effectiveness of the approach and the potential to use the Kinect in real world scenarios.
this paper develops a wireless communication system that connects robots with many remote control devices used by many different users. the most important issue of this system is safety. To get high safety level a qui...
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ISBN:
(纸本)9781479979202
this paper develops a wireless communication system that connects robots with many remote control devices used by many different users. the most important issue of this system is safety. To get high safety level a quick and efficient communication system is required. the emergency system and its communication system must work in parallel and independently of the main control of the robot. the robot must react to an emergency signal, but as a previous step, it must make sure that the security system is enabled and it so must also have some knowledge of how many remote control devices are related and if any of them has lost the wireless connection. Besides all the research and design stage to develop the communication system, the system has been implemented and tested. To build it, a microcontroller Arduino Fio and a radio frequency module Xbee has been used. Finally, the system has been tested in order to characterize the communication system, settling, connection time and the battery life.
this paper considers a hybrid remanufacturing and manufacturing system on a closed-loop supply chain. the system manufactures a set of new products characterized by a multi-level structure through multi-stage assembly...
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ISBN:
(纸本)9781479979202
this paper considers a hybrid remanufacturing and manufacturing system on a closed-loop supply chain. the system manufactures a set of new products characterized by a multi-level structure through multi-stage assembly operations. the required raw or basic parts can be acquired new from suppliers or provided as new by a de-manufacturing facility which performs a remanufacturing process from acquired old products returned by customers. the quality of returned products has impact on the quantity of recovered basic parts which can be assumed as good as new, and on the duration of the remanufacturing process. the considered problem is to determine the production lots for the system machines as well as the quantity of new basic parts and retuned products to be acquired in order to satisfy a deterministic demand in the time buckets of the planning period. the performance criterion to be minimized includes the acquisition costs for the new and returned items, inventory and production costs, recovering and disposal costs, and tardiness costs. A mixed-integer programming model is proposed and its effectiveness is demonstrated by experiments on a case study.
Robot dynamics is commonly modeled as a linear function of the robot kinematic state from a set of dynamic parameters into motor torques. Base parameters (i.e. the set of theoretically demonstrated linearly-independen...
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ISBN:
(纸本)9781479979202
Robot dynamics is commonly modeled as a linear function of the robot kinematic state from a set of dynamic parameters into motor torques. Base parameters (i.e. the set of theoretically demonstrated linearly-independent parameters) can be reduced to a subset of "essential" parameters by eliminating those that are negligible with respect to their contribution in motor torques. However, generic trajectories, if not properly defined, couple the contribution of such essential parameters into the motor torques, actually reducing the estimation accuracy of the dynamics parameters. the work presented here introduces an index for evaluating correlation influence among essential parameters along an executed trajectory. Such index is then exploited for an optimal search of excitatory patterns consistent withthe kinematical coupling constraints. the method is experimentally compared withthe results achievable by one of the most popular IRs dynamic calibration method.
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