Soft Computing Techniques in Civil Engineering

Soft computing techniques are applied to a huge quantity of problems spread in several areas of science. In this case, Evolutionary Computation (EC) techniques are applied, in concrete Genetic Programming (GP), to a temporary problem associated to the field of Civil Engineering. The case of study of this technique has been centered in the prediction, over time, of the behavior of the structural concrete in controlled conditions. Given the temporary nature of the case of study, it has been necessary to make several changes to the classical algorithm of GP, among whom it can be emphasized the incorporation of a new operator that gives the GP the ability to be able to solve problems with temporary behavior. The obtained results shown that the proposed method has succeeded in improving the adjustment to the current regulations about creep in the structural concrete.

Archiving Nature’s Heartbeat Using Smartphones

The impact of urban development and climate change has created the impetus to monitor changes in the environment, particularly, the behaviour, habitat and movement of fauna species. The aim of this chapter is to present the design and development of a sensor network based on Smartphones to automatically collect and analyse acoustic and visual data for environmental monitoring purposes. Due to the communication and sophisticated programming facilities offered by Smartphones, software tools can be developed to allow data to be collected, partially processed and sent to a remote server over the network for storage and further processing. This sensor network which employs a client-server architecture has been deployed in three applications: monitoring a rare bird species near Brisbane Airport, study of koalas behaviour at St Bees Island, and detection of fruit flies. The users of this system include scientists (e.g. ecologists, ornithologists, computer scientists) and community groups participating in data collection or reporting on the environment (e.g. students, bird watchers). The chapter focuses on the following aspects of our research: issues involved in using Smartphones as sensors; the overall framework for data acquisition, data quality control, data management and analysis; current and future applications of the Smartphone-based sensor network, and our future research directions.

Women in Brazilian CS Research Community

Many communities have been concerned with the problem of bringing more girls to technology and science related areas. The authors believe that the first step in order to solve such a problem is to understand the current situation, like to investigate the “state-of-the-art” of the problem. Therefore, in this chapter, they present the first study to identify which areas of Computer Science have more and less feminine participation. In order to do so, they have considered the program committees of the Brazilian conferences in those areas. The authors’ study evaluates the 2008 and previous editions of such conferences. They also discuss some Brazilian initiatives to bring more girls to Computer Science as well present what else can be done.

Shifting Legitimation along Information Infrastructures Growth

This chapter addresses the institutional dimension of scaling of information systems through the interplay of globally distributed software development with organizational processes. Through examining various phases of a long term project to implement information systems for the public health care sector in global South countries, I highlight changing sources of acceptance and legitimation. The analysis centers on the balance between local and global levels, from pilot sites, through an emerging broader organizational field, to increasingly involving national level institutional settings. In parallel to the established view of the scaling of ICT implementations as relating to complexity and risk in the form of unintended side-effects of the growth of a system, the chapter highlights the qualitative switch between regulatory contexts. Shifting relations to local institutions means that scalability requires actors to interact with quite different organizational cultures, accountabilities and communicative practices.

Improvement of Self-Assessment Effectiveness by Activity Monitoring and Analysis

Self-assessment is one of the crucial activities within e-learning environments that provide learners with feedback regarding their level of accumulated knowledge. From this point of view, the authors think that guidance of learners in self-assessment activity must be an important goal of e-learning environment developers. The scope of the chapter is to present a recommender software system that runs along the e-learning platform. The recommender software system improves the effectiveness of self-assessment activities. The activities performed by learners represent the input data and the machine learning algorithms are used within the business logic of the recommender software system that runs along the e-learning platform. The output of the recommender software system is represented by advice given to learners in order to improve the effectiveness of self-assessment process. The methodology for obtaining improvement of self-assessment is based on embedding knowledge management into the business logic of the e-learning platform. Naive Bayes Classifier is used as machine learning algorithm for obtaining the resources (e.g., questions, chapters, and concepts) that need to be further accessed by learners. The analysis is accomplished for disciplines that are well structured according to a concept map. The input data set for the recommender software system is represented by student activities that are monitored within Tesys e-learning platform. This platform has been designed and implemented within Multimedia Applications Development Research Center at Software Engineering Department, University of Craiova. Monitoring student activities is accomplished through various techniques like creating log files or adding records into a table from a database. The logging facilities are embedded in the business logic of the e-learning platform. The e-learning platform is based on a software development framework that uses only open source software. The software architecture of the e-learning platform is based on MVC (model-view-controller) model that ensures the independence between the model (represented by MySQL database), the controller (represented by the business logic of the platform implemented in Java) and the view (represented by WebMacro which is a 100% Java open-source template language).

Information Systems Outsourcing in Large Companies

Information systems outsourcing is an indispensable tool in the management of information systems. The set of services contracted to outside suppliers, originally more limited to services of an operational nature, has expanded over the past two decades, and today there is a wide range of services subject to outsourcing. Among them are: the hiring of software development; maintenance of applications; services and communications networks; security of information systems; and many others. Depending on the nature of the services contracted and on the range that the contracting of services has on departments of information systems, the issues involved in project management vary considerably. This article presents the results of a survey conducted among large companies in the Republic of Ireland to characterize, among other things, the range of services that are most often outsourced. The results are relevant in the sense that not only do they enable a better understanding of the reality of information systems departments of large Irish companies, but also enable the management to focus attention on specific services.

Teaching Globally Distributed Software Development (DSD)

This chapter describes an approach to building a collaborative teaching community that seeks to address these problems. It begins by identifying the skills students should acquire in a Distributed Software Development (DSD) course and discusses why firsthand experience with DSD problems is essential to learning them. The chapter identifies the attributes that make DSD project courses difficult to develop or teach, and then it describes a distributed team approach to developing a reusable infrastructure and a teaching community to address those difficulties. Future work focuses on building an international community of educators and industry participants interested in partnering to develop and teach DSD courses.

Ezine and iRadio as Knowledge Creation Metaphors for Scaffolding Learning in Physical and Virtual Learning Spaces

eZine and iRadio represent knowledge creation metaphors for scaffolding learning in a blended learning environment. Through independent and collaborative work online participating students experience a simulated virtual publishing space in their classrooms. This chapter is presented as an auto-ethnographic account highlighting the voices of the learning designer and the teacher. Using an iterative research design, evidence is provided for three iterations of each course. A collaborative approach to the development, planning, implementation, and evaluation of two tertiary music elective courses between lecturers, tutors, learning and technological designers is narrated. The student voice is embedded in the methodology, which involved an innovative approach that blends software development and pedagogy in iterations of software and experience design. The chapter describes how the teachers and learning designers translate these data into action and design. A blended learning space was incorporated within each of these elective music courses and the movement between these learning spaces is described and problematized. The research suggests that learning design, which provides real world examples and resources integrating authentic task design, can provide meaningful and engaging experiences for students. The dialogue between learning designers and teachers and iterative review of the learning process and student outcomes has engaged students meaningfully to achieve transferable learning outcomes.