Search results for "Interactive"

Il corpo fisico dell'architettura interattiva : approcci scenario-based e generativo

2021

La complessità della realtà, insieme fisica e virtuale, nella quale siamo immersi richiede una riflessione su come realizzare una integrazione tra il mondo del digitale e l’architettura contemporanea. In particolare, l’articolo intende esplorare il modo in cui le informazioni virtuali possano divenire materie progettuali, intervenendo anche sui caratteri spaziali e formali del costruito. Pertanto si tratteranno due diversi approcci nelle architetture interattive, uno scenario-based e un altro generativo, capaci di stabilire i confini fisici della relazione tra architettura e informazioni. Jade Eco Park, Translated Geometries e One Ocean Pavilion offrono una diversa chiave di lettura del rap…

An Artificial Decision Maker for Comparing Reference Point Based Interactive Evolutionary Multiobjective Optimization Methods

2021

Comparing interactive evolutionary multiobjective optimization methods is controversial. The main difficulties come from features inherent to interactive solution processes involving real decision makers. The human can be replaced by an artificial decision maker (ADM) to evaluate methods quantitatively. We propose a new ADM to compare reference point based interactive evolutionary methods, where reference points are generated in different ways for the different phases of the solution process. In the learning phase, the ADM explores different parts of the objective space to gain insight about the problem and to identify a region of interest, which is studied more closely in the decision phas…

Smart teaching? : teachers' perspectives on interactive whiteboard technology in foreign language teaching

2013

An interactive surrogate-based method for computationally expensive multiobjective optimisation

2019

Many disciplines involve computationally expensive multiobjective optimisation problems. Surrogate-based methods are commonly used in the literature to alleviate the computational cost. In this paper, we develop an interactive surrogate-based method called SURROGATE-ASF to solve computationally expensive multiobjective optimisation problems. This method employs preference information of a decision-maker. Numerical results demonstrate that SURROGATE-ASF efficiently provides preferred solutions for a decision-maker. It can handle different types of problems involving for example multimodal objective functions and nonconvex and/or disconnected Pareto frontiers. peerReviewed

Facial animation by reverse morphing on a sequence of real images: application to film and video production

2000

Research on facial animation is as vast as the many interests and needs that can be found in the general public, television or film production. For Mac Guff Ligne, a company specialized in the fabrication of special effects and computer generated images, the needs and the constraints on such a topic are very big. Morphing is often used in facial animation, and consists in mixing several expression models. As we will discover, the advantages in using morphing are numerous, but the animation workload remains long and time-consuming. Our goal is to propose a fast and reliable animation tool that is based on the same morphing technique with which the graphic artists are familiar. Our method is …

Distance-based relevance feedback using a hybrid interactive genetic algorithm for image retrieval

2011

Content-based image retrieval (CBIR) systems aim to provide a means to find pictures in large repositories without using any other information except the own content of the images, which is usually represented as a feature vector extracted from low-level descriptors. This paper describes a CBIR algorithm which combines relevance feedback, evolutionary computation concepts and distance-based learning in an attempt to reduce the existing gap between the high level semantic content of the images and the information provided by their low-level descriptors. In particular, a framework which is independent from the particular features used is presented. The effect of different crossover strategies…

Investigative decision making : the use of storytelling in e-learning for training police students

2019

Master's thesis Multimedia and Educational Technology MM500 - University of Agder 2019 Purpose–“E-learning is not intended to replace the traditional classroom setting, but to provide new opportunities for interaction and communication between students and instructor or teacher” (Zhang et al., 2004). The thesis aimed at discussing this phrase as the major problem statement.Design/methodology/approach–For this research, case study research method with the InstructionalDesign (ID) process was the chosen design and method for designing and consequently developing an e-learning solution. The case study research method with the ID process was found to support the design and development of a succ…

Interactive effects of boron and salinity on greenhouse tomato grown in closed soilless system.

2012

Surrogate assisted interactive multiobjective optimization in energy system design of buildings

2022

In this paper, we develop a novel evolutionary interactive method called interactive K-RVEA, which is suitable for computationally expensive problems. We use surrogate models to replace the original expensive objective functions to reduce the computation time. Typically, in interactive methods, a decision maker provides some preferences iteratively and the optimization algorithm narrows the search according to those preferences. However, working with surrogate model swill introduce some inaccuracy to the preferences, and therefore, it would be desirable that the decision maker can work with the solutions that are evaluated with the original objective functions. Therefore, we propose a novel…

Data-driven Interactive Multiobjective Optimization : Challenges and a Generic Multi-agent Architecture

2020

In many decision making problems, a decision maker needs computer support in finding a good compromise between multiple conflicting objectives that need to be optimized simultaneously. Interactive multiobjective optimization methods have a lot of potential for solving such problems. However, the growth of complexity in problem formulations and the abundance of data bring new challenges to be addressed by decision makers and method developers. On the other hand, advances in the field of artificial intelligence provide opportunities in this respect. We identify challenges and propose directions of addressing them in interactive multiobjective optimization methods with the help of multiple int…