1,721,022 research outputs found
Teaching the Aesthetic of Lighting in Cinema
No full textLight is the essence of cinema. Light is the necessary condition for existence of cinema: it makes the film shooting possible, and in the same way, it makes film projection possible. For these and many other reasons, light is one of the fundamental elements that must be taken into account when analyzing a movie scene. In this paper we propose the use of a 3D computer graphic reconstruction of a film fragment during a course on cinema analysis that focuses on lighting. In particular we describe how a specifically conceived application, that allows students to play around with lights in scene, can be exploited to create a more effective course on this subject. A case study that focuses on the movie “The conformist” by Bernardo Bertolucci is finally presented
How to design a virtual reality experience that impacts the consumer engagement: the case of the virtual supermarket
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Asymptotic behavior and performance constraints of replication policies
Get PDFSpreading the workload among a pool of replicated servers is a technique typically adopted to reduce the response time and increase the throughput in complex systems. In several actual computing environments, virtual machines can be provisioned in a fast and convenient way, and the replication has assumed an important role for the efficient system management. However, in order to provide economically acceptable solutions, the number of replica should be limited to the minimum required to match the given performance goal. In this paper we propose a simple replication policy to match thresholds on the system response times. The analytical relationships that exist between the performance objective values of some metrics and the number of replica are derived. Analytical and experimental validations with single and multi-class workload are presented. Open and closed models, and NO-SQL database have been considered
Matching performance objectives for open and closed workloads by consolidation and replication
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Real-time deep learning semantic segmentation during intra-operative surgery for 3D augmented reality assistance
Get PDFThe current study aimed to propose a Deep Learning (DL) and Augmented Reality (AR) based solution for a in-vivo robot-assisted radical prostatectomy (RARP), to improve the precision of a published work from our group. We implemented a two-steps automatic system to align a 3D virtual ad-hoc model of a patient's organ with its 2D endoscopic image, to assist surgeons during the procedure
Matching performance objectives for open and closed workloads by consolidation and replication
No full textOne of the most crucial task during the design of a computing infrastructure is the decision about the proper amount of equipments required to handle a specific workload while satisfying a set of performance objectives. This problem is emphasized even more in actual computer infrastructure such as clouds, where the user can provision the resources very easily thanks to the use of virtual machines. If the system has to handle a low workload, resources can be consolidated together to reduce the costs. If however the workload is very high, resources must be replicated to gain an acceptable service level. In this paper we derive the impact on several performance indexes for both consolidation and replication when considering both open and closed workloads. In particular, we present an analytical model to determine the best consolidation or replication options that match given performance objectives specified through a set of constraints. Depending on the particular type of workload and constraints, we present either closed form expressions, heuristics or an iterative algorithm to compute the minimum number of resources required
Analysis of Television and Cinema Productions using Mean Field Models
No full textTelevision and cinema productions have a critical influence in today's economy, but performance evaluation techniques are rarely used in these contexts. Both kind of productions share a similar key feature: the spectator. It is in fact the final user who determines the success of a production by deciding to spend his or her money for it. In this paper we use Mean Field techniques to model the behavior of the users, of the production and of the distribution. We use Generalized Stochastic Petri Nets as an upper level formalism to simplify the description of the proposed models. Finally we present comparisons with real data (where available) to prove the validity of the Mean Field approach. © 2010 Elsevier B.V. All rights reserved
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