Abstract
Irregular nesting is a subgroup of cutting and packing problems in which a set of irregular items must be inserted in a rectangular container with a variable width. It is often found ill industries such as textile, wood and shipbuilding and an efficient solution usually renders an economical and environmental positive impact. Due to the complex geometry of items, the no overlapping rule is hard to guarantee and, therefore, geometric tools are usually employed. In this work, a raster method is proposed to solve the overlap minimization problem, which can be adapted to solve the irregular nesting problem. A map of overlap values is created and is employed to find the minimum overlap placement for each item A multiresolution approach is used to reduce the size of the map and, consequently, accelerate the search process. The results from tests performed using 4 benchmark tests indicates that more compact layouts can be obtained using multiple resolutions. Moreover, the results are competitive when compared to other solutions in the literature. Copyright (C)2015 IFAC.

Abstract
Purpose - This paper aims to present the Modelery, a platform for collaborative repository to support model-based software development. The Modelery is a Web platform, composed both by a Web page and Web services for interoperability. Design/methodology/approach - By performing a study in the existing platforms, it was possible to achieve a set of issues to tackle. The issues enabled the possibility to define a set of requirements that allowed the authors to design a new platform, and to perform a model-driven software development process, which started from the requirements until reaching the final software solution. Findings - With this work, it was possible to perform a survey on the currently available artifacts repositories, categorize them and identify their shortcomings. This was essential to define the set of requirements for a new platform to overcome the identified issues. This process leads to a platform able to improve the currently available solutions, and validated in the scientific community. In this paper, the authors also explore the applications of the repository. First, they use the Modelery to replace an older model's repository. Second, they have enabled the communication between other tools and the Modelery via Web services. Originality/value - This work presents a new Web repository for software artifacts aimed at supporting researchers and software developers. The presented platform is an improvement over other platforms on the integration of artifacts repository, social functionalities and scientific publications integration. The authors conclude this paper by comparing the achieved platform in terms of functionalities, against the other analyzed platforms.

Abstract

Abstract
This research work addresses the Digital Mourning and the Digital Heritage Management concepts. It tries to explain what is Digital Heritage and what are its constituents. It also provides a Survey on the platforms and systems for Digital Heritage Management currently available undertaking a detailed comparison between the different platforms

Abstract
The aging of population worldwide leads to the emergence of new needs with regard to the provision of care, including continuity and integration of care. Obtaining a holistic view of the users, and have access to this information on the place and time it is needed, is a key aspect to achieve an improvement in care activities. In this paper we propose a Platform of Services to support and build complex applications for the registration of information, which should enable the integration of health care and social assistance. (C) 2015 The Authors. Published by Elsevier B.V.

Abstract
The emergence of pervasive computing, the rapid advancements in broadband and mobile networks and the incredible appeals of smart devices are driving unprecedented universal access and delivery of online-based media resources. As more and more media services continue to flood the Web, mobile users will continue to waste invaluable time, seeking content of their interest. To deliver relevant media items offering richer experiences to mobile users, media services must be equipped with contextual knowledge of the consumption environment as well as contextual preferences of the users. This article investigates context-aware recommendation techniques for implicit delivery of contextually relevant online media items. The proposed recommendation services work with a contextual user profile and a context recognition framework, using case base reasoning as a methodology to determine user's current contextual preferences, relying on a context recognition service, which identifies user's dynamic contextual situation from device's built-in sensors. To evaluate the proposed solution, we developed a case-study context-aware application that provides personalized recommendations adapted to user's current context, namely the activity he/she performs and consumption environment constraints. Experimental evaluations, via the case study application, real-world user data, and online-based movie metadata, demonstrate that context-aware recommendation techniques can provide better efficacy than the traditional approaches. Additionally, evaluations of the underlying context recognition process show that its power consumption is within an acceptable range. The recommendations provided by the case study application were assessed as effective via a user study, which demonstrates that users are pleased with the contextual media recommendations.