Training and development in Irish technology companies

The sustained economic growth that has been experienced in the Irish economy in recent years has relied, to a large extent, on the contribution and performance of those industry sectors that possess the ability to provide high-value-added products and services to domestic and international markets. One such contributor has been the Technology sector. However, the performance of this sector relies upon the availability of the necessary capabilities and competencies for Technology companies to remain competitive. The Expert Group on Future Skills Needs have forecasted future skills shortages in this sector. The purpose of this research has been to examine the extent to which Irish Technology companies are taking measures to meet changing skills requirements, through training and development interventions. Survey research methods (in the form of a mail questionnaire, supported by a Web-based questionnaire) have been used to collect information on the expenditure on, and approach to, training and development in these companies, in addition to the methods, techniques and tools/aids that are used to support the delivery of these activities. The contribution of Government intervention has also been examined. The conclusions have been varied. When the activities of the responding companies are considered in isolation, the picture to emerge is primarily positive. Although the expenditure on training and development is slightly lower than that indicated in previous studies, the results vary by company size. Technical employees are clearly the key focus of training provision, while Senior Managers and Directors, Clerical and Administrative staff and Manual workers are a great deal more neglected in training provision. Expenditure on, and use of, computer-based training methods is high, as is the use of most of the specified techniques for facilitating learning. However, when one considers the extent to which external support (in the form of Government interventions and cooperation with other companies and with education and training providers) is integrated into the overall training practices of these companies, significant gaps in practice are identified. The thesis concludes by providing a framework to guide future training and development practices in the Technology sector.

Automating the testing process of image processing algorithms

As digital imaging processing techniques become increasingly used in a broad range of consumer applications, the critical need to evaluate algorithm performance has become recognised by developers as an area of vital importance. With digital image processing algorithms now playing a greater role in security and protection applications, it is of crucial importance that we are able to empirically study their performance. Apart from the field of biometrics little emphasis has been put on algorithm performance evaluation until now and where evaluation has taken place, it has been carried out in a somewhat cumbersome and unsystematic fashion, without any standardised approach. This paper presents a comprehensive testing methodology and framework aimed towards automating the evaluation of image processing algorithms. Ultimately, the test framework aims to shorten the algorithm development life cycle by helping to identify algorithm performance problems quickly and more efficiently.