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

2017

Dynamic Price Vector Formation Model-Based Automatic Demand Response Strategy for PV-Assisted EV Charging Stations

Authors
Chen, QF; Wang, F; Hodge, BM; Zhang, JH; Li, ZG; Shafie Khah, M; Catalao, JPS;

Publication
IEEE TRANSACTIONS ON SMART GRID

Abstract
A real-time price (RTP)-based automatic demand response (ADR) strategy for PV-assisted electric vehicle (EV) Charging Station (PVCS) without vehicle to grid is proposed. The charging process is modeled as a dynamic linear program instead of the normal day-ahead and real-time regulation strategy, to capture the advantages of both global and real-time optimization. Different from conventional price forecasting algorithms, a dynamic price vector formation model is proposed based on a clustering algorithm to form an RTP vector for a particular day. A dynamic feasible energy demand region (DFEDR) model considering grid voltage profiles is designed to calculate the lower and upper bounds. A deduction method is proposed to deal with the unknown information of future intervals, such as the actual stochastic arrival and departure times of EVs, which make the DFEDR model suitable for global optimization. Finally, both the comparative cases articulate the advantages of the developed methods and the validity in reducing electricity costs, mitigating peak charging demand, and improving PV self-consumption of the proposed strategy are verified through simulation scenarios.

2017

Scalable subgraph counting using MapReduce

Authors
Eddin, AN; Pinto Ribeiro, PM;

Publication
Proceedings of the Symposium on Applied Computing, SAC 2017, Marrakech, Morocco, April 3-7, 2017

Abstract
Networks are powerful in representing a wide variety of systems in many fields of study. Networks are composed of smaller substructures (subgraphs) that characterize them and give important information related to their topology and functionality. Therefore, discovering and counting these subgraph patterns is very important towards mining the features of networks. Algorithmically, subgraph counting in a network is a computationally hard problem and the needed execution time grows exponentially as the size of the subgraph or the network increases. The main goal of this paper is to contribute towards subgraph search, by providing an accessible and scalable parallel methodology for counting subgraphs. For that we present a dynamic iterative MapReduce strategy to parallelize algorithms that induce an unbalanced search tree, and apply it in the subgraph counting realm. At the core of our methods lies the g-trie, a state-of-the-art data structure that was created precisely for this task. Our strategy employs an adaptive time threshold and an efficient work-sharing mechanism to dynamically do load balancing between the workers. We evaluate our implementations using Spark on a large set of representative complex networks from different fields. The results obtained are very promising and we achieved a consistent and almost linear speedup up to 32 cores, with an average efficiency close to 80%. To the best of our knowledge this is the fastest and most scalable method for subgraph counting within the MapReduce programming model. Copyright 2017 ACM.

2017

Approaches and Principles for UX Web Experiences: A Case Study Approach

Authors
Almeida, F; Monteiro, JA;

Publication
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY AND WEB ENGINEERING

Abstract
The challenge of creating user experiences involves a panoply of multidisciplinary competences in terms of knowing tools, processes and the business itself. This study intends to identify and synthesize the main approaches and principles adopted by web design and e-business companies to create immersive user experiences. In order to achieve this objective, the authors conducted six semistructured interviews with web design and e-business companies. They highlight that companies adopt specific-device design, responsive design and adaptive design approaches. Companies considered fundamental to attend technology life-cycle, heterogeneity of technologies and devices, identification of customer needs, relevance of test phase, scalability of applications, and accessibility and usability issues. Additionally, the customer experience testing is considered a key element to measure user experiences and companies expect that business and technological dimensions will be two key factors with future impact in their business.

2017

Statistical Analysis of the Influence of Several Factors on Compressive Strength of Alkali Activated Fly Ash

Authors
Cerveira, A; Correia, E; Cristelo, N; Miranda, T; Castro, F; Fernandez Jimenez, A;

Publication
2ND INTERNATIONAL CONFERENCE ON STRUCTURAL INTEGRITY, ICSI 2017

Abstract
The use of industrial by-products to produce new types of cement-substitute binders is gaining significant momentum, especially through the alkaline activation technique. However, the exact curing conditions that should be considered with each binder variation have not yet been fully understood. The aim of the present work is thus the statistical analysis of the effects of several factors, namely filler/precursor ratio and curing humidity, on the compressive strength of different mixtures prepared with mine tailings (filler), fly ash (precursor) and an alkali activator based on sodium hydroxide. Five different types of mixture were prepared, with filler/precursor ratios of 80/20, 60/40, 40/60, 20/80 and 0/100. All the specimens were cured at 80 degrees C for 7 days, after which they were submitted to a uniaxial compression strength (UCS) test. Three different values of curing humidity were considered, namely 25%, 50% and 75%. Each UCS value was the average of 9 different specimens tested. The aim of the present research is to establish how much these two factors (inert/precursor ratio and curing humidity) influence the UCS. For that purpose, a two-way Analysis of Variance (ANOVA), with interaction, was performed; followed by a Tuckey's Post hoc test. The results showed statistically significant differences for at least one humidity value F(2,127) = 31.647 (p<0.001) as well as one inert/precursor ratio F(4,127) = 371.64; (p<0.001) and for interaction F(8,127) = 9.33; (p<0.001). To evaluate which level or levels are different a Tuckey's Post hoc test was performed. This test revealed that the humidity value of 50% presented statistically significant differences regarding the remaining two values. In addition, it was concluded that this humidity value (50%) leads to lower binder's resistance. Concerning the inert/precursor ratio, the nonsignificant differences only occur between the 80/20 and 60/40 cases, although the strength values increase, in general, as the ash percentage increases. (C) 2017 The Authors. Published by Elsevier B.V.

2017

A More Intelligent Test Case Generation Approach through Task Models Manipulation

Authors
Campos, JC; Fayollas, C; Gonçalves, M; Martinie, C; Navarre, D; Palanque, PA; Pinto, M;

Publication
PACMHCI

Abstract
Ensuring that an interactive application allows users to perform their activities and reach their goals is critical to the overall usability of the interactive application. Indeed, the effectiveness factor of usability directly refers to this capability. Assessing effectiveness is a real challenge for usability testing as usability tests only cover a very limited number of tasks and activities. This paper proposes an approach towards automated testing of effectiveness of interactive applications. To this end we resort to two main elements: An exhaustive description of users’ activities and goals using task models, and the generation of scenarios (from the task models) to be tested over the application. However, the number of scenarios can be very high (beyond the computing capabilities of machines) and we might end up testing multiple similar scenarios. In order to overcome these problems, we propose strategies based on task models manipulations (e.g., manipulating task nodes, operator nodes, information...) resulting in a more intelligent test case generation approach. For each strategy, we investigate its relevance (both in terms of test case generation and in terms of validity compared to the original task models) and we illustrate it with a small example. Finally, the proposed strategies are applied on a real-size case study demonstrating their relevance and validity to test interactive applications. © 2017 Association for Computing Machinery.

2017

NOOA: Maintaining Cultural Identity Through Intergenerational Storytelling and Digital Affinity Spaces

Authors
Monteiro, J; Morais, C; Carvalhais, M;

Publication
INTERACTIVE STORYTELLING, ICIDS 2017

Abstract
The possibility to preserve perspectives of reality with spontaneous creations allowed by the web tools that now empower common users with content production skills highlights the numerous opportunities for the present and future of cultural identity maintenance. Our research approaches digital storytelling during intergenerational dynamics as a stage for a participatory contribution to the maintenance of cultural identity. With an ethnographic approach and with partnerships with existing senior movements, we seek to (a) understand the storytelling processes during intergenerational dynamics, (b) develop a framework for the participative creation of narratives in the context of intergenerational cultural identity maintenance, (c) support the participatory maintenance of cultural identity through a set of workshops for intergenerational storytelling, (d) understand the challenges and opportunities promoted by digital affinity spaces for the maintenance of cultural identity. Our contribution proposes to develop the understanding of the role that interactive narratives can have in the context of cultural identity maintenance, by developing new usage strategies to enhance cultural mediation through social and ubiquitous storytelling strategies.

  • 2014
  • 4201