Environmental management systems implementation

All organisations make some contribution to the degradation of the environment through their use of resources and production of waste. Environmental management systems (EMS) standards can provide a tool for companies to systematically reduce their environmental impacts. ISO 14001 was published in 1996. This fitted in with plans of the case study company to take proactive action in this area, even though there was no legislative requirement for them to do so. As EMS implementation was a new area at the time, appropriate methodologies were developed to address different aspects of the implementation, and ISO 14001 was successfully implemented in the company. The results of the primary research included: ♦ Drawing up a methodology for identifying and interpreting the environmental legislation that may have an impact on the organisation and compiling a register of such regulations. ♦ Developing a robust methodology for assessing significant environmental aspects and impacts and applying this to the software company. ♦ Establishing objectives and targets for those aspects identified as significant and implementing environmental management programmes to meet these. ♦ Developing an internal environmental audit procedure based on auditing against the significant aspects. ♦ Integrating areas of the EMS with the existing quality management system in order to avoid duplication of effort. ♦ Undergoing an external assessment process in order to achieve certification of the system. The thesis concludes that the systematic approach defined in ISO 14001 provided a mechanism that the organisation was able to adopt to bring about improvement in its environmental performance. The system was based on a thorough evaluation of the organisation's significant environmental aspects in order to bring about a reduction in its negative impacts. The ISO 14001 requirement for continual improvement is the key driver of the system, and this is what differentiates it from ISO 9000.

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.