Cookies
O website necessita de alguns cookies e outros recursos semelhantes para funcionar. Caso o permita, o INESC TEC irá utilizar cookies para recolher dados sobre as suas visitas, contribuindo, assim, para estatísticas agregadas que permitem melhorar o nosso serviço. Ver mais
Aceitar Rejeitar
  • Menu
Publicações

2016

A survey of industrial applications of Demand Response

Autores
Shoreh, MH; Siano, P; Shafie khah, M; Loia, V; Catalao, JPS;

Publicação
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
Industrial consumers have traditionally provided flexibility for power systems through various Demand Response (DR) programs in different regions of the world, but below their real potential. Utilizing DR in industries will reduce the need for more expensive alternative forms of flexibility like storage or backup plants. In current increasingly flexible electricity market, it is an excellent chance for the industrial sites to carry out the most of energy management with DR, especially for those plants that are already equipped with the required facilities for DR. This paper aims at providing a comprehensive review of applications of DR in the industrial sector. On this basis, this survey firstly presents the contribution of ancillary services and their potential in industries and then introduces different types of industries with higher potential for DR programs. Finally, the main barriers that hinder the widespread utilization of these programs in industries are presented and categorized.

2016

3D object perception and perceptual learning in the RACE project

Autores
Oliveira, M; Lopes, LS; Lim, GH; Hamidreza Kasaei, SH; Tome, AM; Chauhan, A;

Publicação
ROBOTICS AND AUTONOMOUS SYSTEMS

Abstract
This paper describes a 3D object perception and perceptual learning system developed for a complex artificial cognitive agent working in a restaurant scenario. This system, developed within the scope of the European project RACE, integrates detection, tracking, learning and recognition of tabletop objects. Interaction capabilities were also developed to enable a human user to take the role of instructor and teach new object categories. Thus, the system learns in an incremental and open-ended way from user-mediated experiences. Based on the analysis of memory requirements for storing both semantic and perceptual data, a dual memory approach, comprising a semantic memory and a perceptual memory, was adopted. The perceptual memory is the central data structure of the described perception and learning system. The goal of this paper is twofold: on one hand, we provide a thorough description of the developed system, starting with motivations, cognitive considerations and architecture design, then providing details on the developed modules, and finally presenting a detailed evaluation of the system; on the other hand, we emphasize the crucial importance of the Point Cloud Library (PCL) for developing such system.(1)

2016

Parallel Algorithms for Multirelational Data Mining: Application to Life Science Problems

Autores
Camacho, R; Barbosa, JG; Sampaio, AM; Ladeiras, J; Fonseca, NA; Costa, VS;

Publicação
Resource Management for Big Data Platforms - Algorithms, Modelling, and High-Performance Computing Techniques

Abstract

2016

DESIGNING AND MANUFACTURING OF PSEUDO-SINUSOIDAL PWM INVERTER BY USING SMART FEEDBACK TO STABILIZE VOLTAGE PARAMETERS FOR TYPICAL APPLICATIONS

Autores
Manesh, ARK; Javadi, MS;

Publicação
IIOAB JOURNAL

Abstract
Developing an inverter with high efficiency and with the ability of starting with inductive, capacitive, and resistive loads along with output voltage stability is a challenging problem. Considering higher reliability and convenient maintenance, this paper focuses on the use of analog circuits. In this regard, this paper uses pulse width modulation techniques, intelligent feedback, and peak as well as effective voltage supply are employed. Results indicated that this designed inverter with a power of 700 W can be started with ohmic loads (100% quality), inductive loads (97% quality), and capacitive loads (83% quality).

2016

CONTROLO 2016

Autores
Paulo Garrido; Filomena Soares; António Paulo Moreira;

Publicação

Abstract

2016

THE IMPACT OF INTERNATIONALIZATION AND DIVERSIFICATION ON CONSTRUCTION INDUSTRY PERFORMANCE

Autores
Horta, IM; Kapelko, M; lansink, AO; Camanho, AS;

Publicação
INTERNATIONAL JOURNAL OF STRATEGIC PROPERTY MANAGEMENT

Abstract
This paper investigates the impact of internationalization and diversification strategies on the financial performance of construction industry companies. The results obtained can guide the design of strategies to pursue company growth and achieve competitive advantage. The evaluation of companies' performance is based on the use of the Data Envelopment Analysis technique to aggregate financial indicators using optimized weights. The impact of internationalization and diversification on company performance is explored using truncated regression, controlling for the effect of contextual factors such as company age, size and time. Data Envelopment Analysis and truncated regression were complemented with bootstrapping to ensure the robustness of the results obtained. The activity of Portuguese and Spanish contractors in the period 2002 to 2011 is used as case study. The empirical results show that internationalization has a positive impact on financial performance, although this effect is only statistically significant for Spanish contractors. Diversification has a nonlinear relationship with performance, benefiting companies with either a small number of core activities or companies with a broad scope of activities.

  • 2320
  • 4201