This paper presents a method for autonomously collecting surveyquality data from underground spaces for the purposes of 3D modeling. This overview includes a systems-level description of the robotic tools, data acquisition process and data processing techniques that enable accurate 3D modeling of subterranean interiors. A performance evaluation and accuracy analysis between the capabilities of ...

Discrete-event simulation modeling has become the most commonly used tool for performance evaluation of stochastic dynamic systems in science and engineering. The field operations of surveys can be classified as one of these stochastic dynamic systems. This paper describes the simulation and modeling of simplified field operations for NHIS (National Health Interview Survey). In particular, we a...

Knowledge management (KM) strategy is the planned or actual coordination of a firm’s major goals and learning, in time, that continually co-align its knowledge-based resources with the environment. This study combined a survey study and system dynamics (SD) simulation to demonstrate an organic KM performance evaluation approach. The survey study was conducted based on a sample of 143 constructi...

When it comes to three dimensional computer animations, the use of live actors to control the movements of onscreen characters produces a realism that is unsurpassed. But so are the costs, and that is why Avratar, a virtual environment for puppet animation, uses widely available products utilizing motion capture technology to control a real time puppet in a world limited only by the imagination...

Dc excitation of the field winding in a synchronous machine can be provided by permanent magnets. Permanent magnet synchronous machine (PMSM) can offer simpler construction, lower weight and size for the same performance, with reduced losses and higher efficiency. Thanks to the mentioned advantages these motors are widely used in different application, therefore analysis and modeling of the...

successful modeling of hydro-environmental processes widely relies on quantity and quality of accessible data and noisy data might effect on the functioning of the modeling. on the other hand in training phase of any artificial intelligence (ai) based model, each training data set is usually a limited sample of possible patterns of the process and hence, might not show the behavior of whole pop...

Early design is widely accepted inside the engineering design community as a crucial design phase. This is due to the fact that decisions taken at this stage constrained heavily the final performances of products. This article presents a design framework dedicated to the early design phases of mechatronic products. This framework provides a scientifically coherent methodology for refinement, an...

Historically, predictive human performance modeling has been successful at predicting the task execution time of skilled users on a desktop computer. More recent work has predicted novice behavior in web searches. This paper reports on a collaborative effort between industry and academia to expand the scope of predictive modeling to the mobile phone domain, both skilled and novice behavior, and...

in this work, several machine learning techniques are presented for nanofiltration modeling. according to the results, specific errors are defined. the rejection due to nanofiltration increases with pressure but decreases with increasing the concentration of chloride ion. methods of machine learning represent the rejection of nanofiltration as a function of concentration, ph, pressure and also ...

In this paper we describe UML-Ψ, a software performance evaluation tool based on process-oriented simulation. The tool can be used to evaluate performances of software systems which are described at a high level of abstraction. This allows the software modeler to estimate the system performances before actually building it, at the design phase. We consider software specifications as Unified Mod...