Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Publications

2018

A pilot digital image processing approach for detecting vineyard parcels in Douro region through high-resolution aerial imagery

Authors
Adáo, T; Pádua, L; Hruška, J; Marques, P; Peres, E; Sousa, JJ; Cunha, A; Sousa, AMR; Morais, R;

Publication
Proceedings of the International Conference on Geoinformatics and Data Analysis, ICGDA 2018, Prague, Czech Republic, April 20-22, 2018

Abstract
Vineyard parcels delimitation is a preliminary but important task to support zoning activities, which can be burdensome and time-consuming when manually performed. In spite of being desirable to overcome such issue, the implementation of a semi-/fully automatic delimitation approach can meet serious development challenges when dealing with vineyards like the ones that prevail in Douro Region (north-east of Portugal), mainly due to the great diversity of parcel/row formats and several factors that can hamper detection as, for example, interrupted rows and inter-row vegetation. Thereby, with the aim of addressing vineyard parcels detection and delimitation in Douro Region, a preliminary method based on segmentation and morphological operations upon high-resolution aerial imagery is proposed. This method was tested in a data set collected from vineyards located at the University of Trás-os-Montes and Alto Douro(Vila Real, Portugal). The presence of some of the previously mentioned challenging conditions - namely interrupted rows and inter-row grassing - in a few parcels contributed to lower the overall detection accuracy, pointing out the need for future improvements. Notwithstanding, encouraging preliminary results were achieved. © 2018 Association for Computing Machinery.

2018

y Unilateral effects screens for partial horizontal acquisitions: The generalized HHI and GUPPI

Authors
Brito, D; Osorio, A; Ribeiro, R; Vasconcelos, H;

Publication
INTERNATIONAL JOURNAL OF INDUSTRIAL ORGANIZATION

Abstract
Recent years have witnessed an increased interest, by competition agencies, in assessing the competitive effects of partial acquisitions. We propose a generalization of the two most traditional indicators used to screen unilateral anti-competitive effects - the HerfindahlHirschman Index and the Gross Up- ward Price Pressure Index - to partial horizontal acquisition settings. The proposed generalized indicators are endogenously derived under a probabilistic voting model in which the manager of each firm is elected in a shareholder assembly between two potential candidates who seek to obtain utility from an exogenous rent associated with corporate office. The model (i) can cope with settings involving all types of owners and rights: owners that can be internal to the industry (rival firms) and external to the industry; and rights that can capture financial and corporate control interests, can be direct and indirect, can be partial or full, (ii) yields an endogenous measure of the owners ultimate corporate control rights, and (iii) can also be used - in case the potential acquisition is inferred to likely enhance market power - to devise divestiture structural remedies. We also provide an empirical application of the two proposed generalized indicators to several acquisitions in the wet shaving industry, with the objective of providing practitioners with a step-by-step illustration of how to compute them in antitrust cases.

2018

Foreword: VL/HCC 2018

Authors
Cunha, J; Fernandes, JP; Kelleher, C; Engels, G;

Publication
Proceedings of IEEE Symposium on Visual Languages and Human-Centric Computing, VL/HCC

Abstract

2018

Designing new heuristics for the capacitated lot sizing problem by genetic programming

Authors
Hein, F; Almeder, C; Figueira, G; Almada Lobo, B;

Publication
COMPUTERS & OPERATIONS RESEARCH

Abstract
This work addresses the well-known capacitated lot sizing problem (CLSP) which is proven to be an NP-hard optimization problem. Simple period-by-period heuristics are popular solution approaches due to the extremely low computational effort and their suitability for rolling planning horizons. The aim of this work is to apply genetic programming (GP) to automatically generate specialized heuristics specific to the instance class. Experiments show that we are able to obtain better solutions when using GP evolved lot sizing rules compared to state-of-the-art constructive heuristics.

2018

A Software Tool to Evaluate Performance in a Higher Education Institution

Authors
Reis, A; Paredes, H; Borges, J; Rodrigues, C; Barroso, J;

Publication
Research on e-Learning and ICT in Education: Technological, Pedagogical and Instructional Perspectives

Abstract
In a higher education institution, professors and researchers may have to perform several distinct roles and activities such as teaching, researching, management, and community outreach. The performance evaluation of these professionals must consider a wide range of information, which is used in a complex evaluation process. This work reports the development and introduction of an information system to digitally manage the complete performance evaluation process in a higher education institution (HEI), including the collection, process, and report of information. The ultimate objective of the project was to electronically support the evaluation process, which was attained by collecting and combining data from several sources and later processed. This approach rendered a viable evaluation process that otherwise would be painful to implement. © Springer International Publishing AG, part of Springer Nature 2018.

2018

Numerical Results on the Exploitation of Gold Nanostructures in Plastic Optical Fibers Based Plasmonic Sensors

Authors
Cennamo, N; Mattiello, F; Jorge, PAS; Sweid, R; De Maria, L; Pesavento, M; Zeni, L;

Publication
SENSORS AND MICROSYSTEMS

Abstract
The use of Nanostructured SPR sensors on Plastic Optical Fibers opens new challenges, because in an SPR sensor made by a continuous metal layer, the sensor's response is basically related to the metal properties at optical frequencies and to the waveguide characteristics. On the other hand, when a Nanostructured SPR sensor is used, the behavior is also related to the geometric parameters of the Nanostructures. Working on them it is potentially possible to tune the sensor's behavior. In this work the Authors present a numerical investigation in order to evaluate the behavior of two different SPR Nanostructured platforms, made by "long" gold Nanorods, and comparing them to an SPR sensor with a continuous gold layer. The difference between these two Nanostructured platforms is the orientation of the Nanorods, with respect to the light's propagation direction. The numerical results seem to indicate an increase of the sensitivity, when an SPR Sensor with long Nanorods is used, with respect to the sensor made by a continuous gold film, with some benefits.

  • 1968
  • 4312