Virtual reality as a support tool in the shoe life cycle

Robotics has shown its potential not only in assisting the surgeon during an intervention but also as a tool for training and for surgical procedure's evaluation. Thus, robotics can constitute an extension of simulators that are based on the high capabilities of computer graphics. In addition, haptics has taken a first step in increasing the performance of current virtual reality systems based uniquely on computer simulation and their corresponding interface devices. As a further step in the field of training and learning in surgery, this work describes a robotic experimental workstation composed of robots and specific measuring devices, together with their corresponding control and monitoring strategies for orthopaedic surgery. Through a case study, humerus arthroplasty, experimental evaluation shows the possibilities of having a test bed available for repetitive and quantifiable trials, which make a reliable scientific comparison between different surgical strategies possible.

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Augmented and Virtual Reality for Underground Facilities Management

Journal of Computing and Information Science in Engineering ◽

10.1115/1.4040460 ◽

2018 ◽

Vol 18 (4) ◽

Cited By ~ 4

Author(s):

Gregorio Soria ◽

L. M. Ortega Alvarado ◽

Francisco R. Feito

Keyword(s):

Virtual Reality ◽

Life Cycle ◽

Data Model ◽

Three Dimensional ◽

Real Data ◽

Life Cycle Management ◽

Facilities Management ◽

New Approach ◽

3D Data ◽

The City

Augmented reality (AR) has experienced a breakthrough in many areas of application thanks to cheaper hardware and a strong industry commitment. In the field of management of urban facilities, this technology allows virtual access and interaction with hidden underground elements. This paper presents a new approach to enable AR in mobile devices such as Google Tango, which has specific capabilities to be used outdoors. The first objective is to provide full functionality in the life-cycle management of subsoil infrastructures through this technology. This implies not only visualization, interaction, and free navigation, but also editing, deleting, and inserting elements ubiquitously. For this, a topological data model for three-dimensional (3D) data has been designed. Another important contribution of the paper is getting exact location and orientation performed in only a few minutes, using no additional markers or hardware. This accuracy in the initial positioning, together with the device sensing, avoids the usual errors during the navigation process in AR. Similar functionality has also been implemented in a nonubiquitous way to be supported by any other device through virtual reality (VR). The tests have been performed using real data of the city of Jaén (Spain).

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Identification and Selection of Alternative Scenarios in LCA Studies of Integrated Waste Management Systems: A Review of Main Issues and Perspectives

Sustainability ◽

10.3390/su4102430 ◽

2012 ◽

Vol 4 (10) ◽

pp. 2430-2442 ◽

Cited By ~ 10

Author(s):

Valentino Tascione ◽

Andrea Raggi

Keyword(s):

Life Cycle ◽

Waste Management ◽

Methodological Approach ◽

Decision Support Tool ◽

Management Systems ◽

Support Tool ◽

Integrated Waste Management ◽

Alternative Scenarios ◽

Environmentally Sound ◽

Definition Of

Life Cycle Assessment (LCA) is a decision support tool that can be used to assess the environmental performance of an integrated waste management system or to identify the system with the best performance through a comparative analysis of different scenarios. The results of the analysis depend primarily on how the scenarios to be compared are defined, that is on which waste fractions are assumed to be sent to certain treatments/destinations and in what amounts. This paper reviews LCAs of integrated waste management systems with the aim of exploring how the scenarios to be compared are defined in the preliminary phase of an LCA. This critical review highlighted that various criteria, more or less subjective, are generally used for the definition of scenarios. Furthermore, the number of scenarios identified and compared is generally limited; this may entail that only the best option among a limited set of possibilities can be selected, instead of identifying the best of all possible combinations. As a result, the advisability of identifying an integrated life cycle-based methodological approach that allows finding the most environmentally sound scenario among all of those that are theoretically possible is stressed.

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