Exact and asymptotic computations of elementary spin networks: classification of the quantum-classical boundaries

Increasing interest is being dedicated in the last few years to the issues of exact computations and asymptotics of spin networks. The large-entries regimes (semiclassical limits) occur in many areas of physics and chemistry, and in particular in discretization algorithms of applied quantum mechanics. Here we extend recent work on the basic building block of spin networks, namely the Wigner 6j symbol or Racah coefficient, enlightening the insight gained by exploiting its self-dual properties and studying it as a function of two (discrete) variables. This arises from its original definition as an (orthogonal) angular momentum recoupling matrix. Progress also derives from recognizing its role in the foundation of the modern theory of classical orthogonal polynomials, as extended to include discrete variables. Features of the imaging of various regimes of these orthonormal matrices are made explicit by computational advances -based on traditional and new recurrence relations- which allow an interpretation of the observed behaviors in terms of an underlying Hamiltonian formulation as well. This paper provides a contribution to the understanding of the transition between two extreme modes of the 6j, corresponding to the nearly classical and the fully quantum regimes, by studying the boundary lines (caustics) in the plane of the two matrix labels. This analysis marks the evolution of the turning points of relevance for the semiclassical regimes and puts on stage an unexpected key role of the Regge symmetries of the 6j.Comment: 15 pages, 11 figures. Talk presented at ICCSA 2012 (12th International Conference on Computational Science and Applications, Salvador de Bahia (Brazil) June 18-21, 2012

Software Quality in Academic Curriculum: A Case Study in Turkey

A variety of courses are taught in the undergraduate programs of computer science, computer engineering, software engineering and information system engineering. The preferred choices of the software industry are for hiring engineers for their companies from these disciplines, related to this fact, the emphasis on quality in software given to the associated departments' students, hence on quality objectives in software process, are studied. With this aim, a survey of the curricula of these branches in the top ten Turkish universities is undertaken. Our observations show software quality is not considered commonly as a core course except in software engineering, while the computer engineering departments provide the majority of the graduates to the industry. The results may be interpreted as suggesting that a reason for loose monitoring of standards in the software industry may be associated with this observation because graduates with transcripts on quality are few in number

Parsing Large XES Files for Discovering Process Models: A Big Data Problem

Process mining is a group of techniques for retrieving de-facto models using system traces. Discovering algorithms can obtain mathematical models exploiting the information contained into list of events of activities. Completeness of the traces is relevant for the accuracy of the final results. Noiseless traces appear as an ideal scenario. The performance of the algorithms is significant reduce if the log files are not processed efficiently. XES is a logical model for process logs stored in data centric xml files. In real processes the sizes of the logs increase exponentially. Parsing XES files is presented as a big data problem in real scenarios with dense traces. Lazy parsers and DOM models are not enough appropriate in scenarios with large volumes of data. We discuss this problematic and how to use indexing techniques for retrieving useful information for process mining. An XES compression schema is also discussed for reducing the index construction time

Verstehen (causal/interpretative understanding), Erklaeren (law-governed description/prediction), and Empirical Legal Studies.

Comments presented at the 35th International Seminar on the -- New Institutional Economics -- Empirical Methods for the Law; Syracuse, 2018

A system for the management of old building retrofit projects in historical centres: the case of Portugal

The retrofitting works in old buildings require appropriate knowledge of the vernacular techniques. Previous researches have identified retrofitting works as more intrusive and using more unnecessary demolition materials than real needs. This study constitutes a new framework that focuses on the project management success of old building retrofitting in historical centres by developing a methodological system for this purpose. It uses a construction sector system approach, reviews legal requirements, framework specifications, recommendation practices and sustainable measures adapted to old building projects. It presents 50 parameters adapted to these works’ specificities that could be used by construction market stakeholders. The research uses a case study methodology divided in two parts. The first one involves the review of building retrofitting projects in historical centres, complemented by a questionnaire in the second part. The results of the projects review have shown little concern with the underlying sustainability aspects of retrofitting works in all project designs analysed. However, the questionnaire results have revealed a high interest and applicability of all parameters omitted in the project designs data. The study describes a useful management system in a toolkit format which might contribute to reduce uncertainty in the management of retrofitting projects in historical centres.info:eu-repo/semantics/publishedVersio

Metaplanning: About designing the Geodesign process

Geodesign entails complex processes involving multidisciplinary teams of professionals supporting stakeholders and communities in devising and choosing sustainable future development scenarios for their territories. The roles and the relationships among the actors may vary according to the underlying planning paradigm or style which the local normative and socio-cultural factors shape in the actual practices. Methods and tools to be used in the process phases may vary accordingly. A Geodesign study is characterised by the integrated usage of Geographic Information Science methods and tools to transform spatial data into relevant knowledge for informed design and decision-making. Thus, central to Geodesign are such issues as how to design and manage such complex processes, and how to orchestrate digital methods and tools in Geodesign support systems architectures. To address these challenges, the concept of metaplanning is proposed as an aid to the design of Geodesign processes. Expected benefits of the metaplanning exercise include better process understanding by the participants, improvements in management, and enhanced process transparency and accountability. Moreover, metaplanning may drive the integration of digital information technologies to support the Geodesign workflows.After the formalization of the concept, a Business Process Management (BPM) approach to metaplanning is proposed for its operationalization, aiming at both improving the Geodesign process and easing the creation of process-oriented 2nd generation Planning Support Systems. After a critical discussion on the possible advantages of the metaplanning approach to the design of process-oriented Geodesign workflows and support systems, issues setting the future research agenda in this domain are outlined

Experimental Matching of Instances to Heuristics for Constraint Satisfaction Problems

Constraint satisfaction problems are of special interest for the artificial intelligence and operations research community due to their many applications. Although heuristics involved in solving these problems have largely been studied in the past, little is known about the relation between instances and the respective performance of the heuristics used to solve them. This paper focuses on both the exploration of the instance space to identify relations between instances and good performing heuristics and how to use such relations to improve the search. Firstly, the document describes a methodology to explore the instance space of constraint satisfaction problems and evaluate the corresponding performance of six variable ordering heuristics for such instances in order to find regions on the instance space where some heuristics outperform the others. Analyzing such regions favors the understanding of how these heuristics work and contribute to their improvement. Secondly, we use the information gathered from the first stage to predict the most suitable heuristic to use according to the features of the instance currently being solved. This approach proved to be competitive when compared against the heuristics applied in isolation on both randomly generated and structured instances of constraint satisfaction problems

Social Media & Place Making

My research addresses the intersection of two concepts: urban transformation and place making. Firstly, concerning Urban transformation, there is the crisis of the city that has created vacant and underused spaces. These areas invite interventions from the local communities and bottom-up solutions to real, local and social problems. Secondly, regarding the relation between people and surroundings, I consider place making that is a process intrinsically connected with socio-spatial relations of a community. In my thesis digital transformation is the interpretation key of the two concepts, technologies, new media and the increased interaction between local actors. The aim of this project is to verify the role of internet technology and social media in the process of place making. As part of the study there will be an interrogation about the social media: how digital networks changed the relations of space with the general public

Educational Technology and Education Conferences, June to December 2012

The conference list contains events such as "Learning and Teaching","Innovation in e-Learning", "Online Teaching", "Distance Learning Administration", "The World Open Educational Resources Congress", "Mobile Health", and "Realizing Dreams"

Code smells detection and visualization: A systematic literature review

Context: Code smells (CS) tend to compromise software quality and also demand more effort by developers to maintain and evolve the application throughout its life-cycle. They have long been catalogued with corresponding mitigating solutions called refactoring operations. Objective: This SLR has a twofold goal: the first is to identify the main code smells detection techniques and tools discussed in the literature, and the second is to analyze to which extent visual techniques have been applied to support the former. Method: Over 83 primary studies indexed in major scientific repositories were identified by our search string in this SLR. Then, following existing best practices for secondary studies, we applied inclusion/exclusion criteria to select the most relevant works, extract their features and classify them. Results: We found that the most commonly used approaches to code smells detection are search-based (30.1%), and metric-based (24.1%). Most of the studies (83.1%) use open-source software, with the Java language occupying the first position (77.1%). In terms of code smells, God Class (51.8%), Feature Envy (33.7%), and Long Method (26.5%) are the most covered ones. Machine learning techniques are used in 35% of the studies. Around 80% of the studies only detect code smells, without providing visualization techniques. In visualization-based approaches several methods are used, such as: city metaphors, 3D visualization techniques. Conclusions: We confirm that the detection of CS is a non trivial task, and there is still a lot of work to be done in terms of: reducing the subjectivity associated with the definition and detection of CS; increasing the diversity of detected CS and of supported programming languages; constructing and sharing oracles and datasets to facilitate the replication of CS detection and visualization techniques validation experiments.Comment: submitted to ARC