2017
Autores
Santos, M; Saraiva, J; Porkoláb, Z; Krupp, D;
Publicação
SQAMIA
Abstract
The green computing has an important role in today's software technology. Either speaking about small IoT devices or large cloud servers, there is a generic requirement of minimizing energy consumption. For this purpose, we usually first have to identify which parts of the system is responsible for the critical energy peaks. In this paper we suggest a new method to measure the energy consumption based on Low Level Virtual Machine (LLVM)/Clang tooling. The method has been tested on 2 open source systems and the output is visualized via the well-known Kcachegrind tool.
2017
Autores
Montagna, S; Abreu, PH; Giroux, S; Schumacher, MI;
Publicação
A2HC@AAMAS/A-HEALTH@PAAMS
Abstract
2017
Autores
Ferreira, JJP; Mention, AL; Torkkeli, M;
Publicação
Journal of Innovation Management
Abstract
2017
Autores
Costa, AP; Reis, LP; de Sousa, FN; Moreira, A; Lamas, D;
Publicação
Studies in Systems, Decision and Control
Abstract
2017
Autores
Silva, D; Coelho, A; Duarte, C; Henriques, PC;
Publicação
SERIOUS GAMES, INTERACTION AND SIMULATION
Abstract
Software developers usually work as a team and in order to improve the team organization and performance several companies use agile methodologies. The efficiency of this methodologies can be improved by the use of project management tools. Several software developers are difficult to motivate on the usage of these tools, as they often claim being disruptive to their workflow. This paper presents the use of gamification to incite software developers to use this kind of tools with the necessary regularity. The main focus of this work is on the tasks completion and the regular use of the project management tool, while insuring the respect of the values proposed by the agile manifesto to software development. The gamification process is described in detail, followed by an application the project management software SCRAIM.
2017
Autores
Isasi Andrieu, A; Garrote Contreras, E; Iriondo Bengoa, P; Aldama Gant, D; Galdran, A;
Publicação
2017 22ND IEEE INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA)
Abstract
A recurrent problem in the industrial sector is the quality control and surface inspection of reflecting pieces with non-planar surfaces. This is an extended and non-solved problem because it is related not only to the material itself but also to the coating. This problem appears in a wide spectrum of industrial sectors such as automation, aeronautics or orthopaedics. In recent years, a new imaging technology called deflectometry has been introduced in the field of surface inspection for industrial applications. This technology features a high resolution camera and a dedicated illumination system based on displaying fringe patterns in a monitor-allowing the detection of irregularities in surfaces. However, the introduction of this technology into automated quality control systems remains a challenging task, due to the wide range of defects and shapes that can appear. It becomes thus necessary to characterize different types of errors and their associated detection setups. In this paper we propose a novel methodology to define and analyse the best setup for each pattern. We also explore an efficient technique to maximize the number of different pieces inspected without modifying the setup of the acquisition system. Experimental results show that the presented methodology defines an inspection method that can be installed in an automatic quality control device for non-planar surfaces analysis of manufactured products.
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