The collection and analysis of pre-evacuation times derived from evacuation trials and their application to evacuation modelling

This paper presents data relating to occupant pre-evacuation times from university and hospital outpatient facilities. Although the two occupancies are entirely different, they do employ relatively similar procedures: members of staff sweep areas to encourage individuals to evacuate.However the manner in which the dependent population reacts to these procedures is quite different. In the hospital case, the patients only evacuated once a member of the nursing staff had instructed them to do so, while in the university evacuation, the students were less dependent upon the actions of the staff, with over 50% of them evacuating with no prior prompting. In addition, the student pre-evacuation time was found to be dependent on their level of engagement in various activities.

The collection of pre-evacuation times from evacuation trials involving a Hospital Outpatient area and a University Library facility

This paper presents data relating to occupant pre-evacuation times from a university and a hospital outpatient facility. Although the two structures are entirely different they do employ relatively similar procedures: members of staff sweeping areas of the structure to encourage individuals to evacuate. However, the manner in which the dependent population reacts to these procedures is quite different. In the hospital case the patients only evacuated once a member of the nursing staff had instructed them to do so while in the university evacuation the students were less dependent upon the actions of the staff with over 50% of them evacuating with no prior prompting. Although this data may be useful in a variety of areas, it was collected primarily for use within evacuation models.

Pre-emptive scheduling problems with controllable processing times

We consider a range of single machine and identical parallel machine pre-emptive scheduling models with controllable processing times. For each model we study a single criterion problem to minimize the compression cost of the processing times subject to the constraint that all due dates should be met. We demonstrate that each single criterion problem can be formulated in terms of minimizing a linear function over a polymatroid, and this justifies the greedy approach to its solution. A unified technique allows us to develop fast algorithms for solving both single criterion problems and bicriteria counterparts.

Collection and analysis of pre-evacuation time data collected from evacuation trials conducted in library facilities in Brazil

Two evacuation trials were conducted within Brazilian library facilities by FSEG staff in January 2005. These trials represent one of the first such trials conducted in Brazil. The purpose of these evacuation trials was to collect pre-evacuation time data from a population with a cultural background different to that found in western Europe. In total some 34 pre-evacuation times were collected from the experiments and these ranged from 5 to 98 seconds with a mean pre-evacuation time of 46.7 seconds

Pre-nups: precedents in need of reform?

Traces the development of the law relating to the enforceability of pre-nuptial agreements, given the potential conflict between such an agreement and the jurisdiction of the court to determine financial provision on divorce. Sets out the 16 point checklist laid down by K v K (Ancillary Relief: Prenuptial Agreement) against which the enforceability of an agreement should be judged. Comments on the significance given to the pre-nuptial agreement in ancillary relief proceedings in Crossley (Susan) v Crossley (Stuart), where the parties were required to show why the agreement should, or should not, determine the outcome of the proceedings.

A case study of pre-midlife crisis: an extraordinary transformational episode in an ordinary life

This case study explored a single in-depth narrative of an episode of crisis. The participant, an English Jewish man in his late thirties (Guy), was selected using a ‘random purposeful’ design from a sample who had previously participated in a study on the experience of crisis in pre-midlife adulthood. From a subgroup of participants chosen for giving full accounts of both inner and outer dimensions of crisis, the individual was selected randomly. Data collection comprised two interviews followed by an email discussion. The crisis occurred in Guy’s late thirties, just before the midlife transition, and so can be considered a ‘pre-midlife’ crisis. It subsumed the period surrounding leaving a high-profile banking career and a dysfunctional marriage, and the ensuing attempts to rebuild life after this difficult and emotional period. Qualitative analysis found four trajectories of personal transformation over the course of the episode: Firstly there was a shift away from the use of a conventional persona to a more spontaneous and ‘authentic’ expression of self; secondly there was a move away from materialistic values toward relational values; thirdly a developing capacity to reflect on himself and his actions; fourthly an emerging feminine component of his personality. The case study portrays an extraordinary event in the life of an ordinary man approaching middle age. It illustrates the transformative nature of crisis in ordinary lives, the dramatic nature of narrative surrounding crisis, and also illustrates existing theory about the nature of adult crises.

Analysis of classification accuracy for pre-filtered multichannel remote sensing data

Noise is one of the main factors degrading the quality of original multichannel remote sensing data and its presence influences classification efficiency, object detection, etc. Thus, pre-filtering is often used to remove noise and improve the solving of final tasks of multichannel remote sensing. Recent studies indicate that a classical model of additive noise is not adequate enough for images formed by modern multichannel sensors operating in visible and infrared bands. However, this fact is often ignored by researchers designing noise removal methods and algorithms. Because of this, we focus on the classification of multichannel remote sensing images in the case of signal-dependent noise present in component images. Three approaches to filtering of multichannel images for the considered noise model are analysed, all based on discrete cosine transform in blocks. The study is carried out not only in terms of conventional efficiency metrics used in filtering (MSE) but also in terms of multichannel data classification accuracy (probability of correct classification, confusion matrix). The proposed classification system combines the pre-processing stage where a DCT-based filter processes the blocks of the multichannel remote sensing image and the classification stage. Two modern classifiers are employed, radial basis function neural network and support vector machines. Simulations are carried out for three-channel image of Landsat TM sensor. Different cases of learning are considered: using noise-free samples of the test multichannel image, the noisy multichannel image and the pre-filtered one. It is shown that the use of the pre-filtered image for training produces better classification in comparison to the case of learning for the noisy image. It is demonstrated that the best results for both groups of quantitative criteria are provided if a proposed 3D discrete cosine transform filter equipped by variance stabilizing transform is applied. The classification results obtained for data pre-filtered in different ways are in agreement for both considered classifiers. Comparison of classifier performance is carried out as well. The radial basis neural network classifier is less sensitive to noise in original images, but after pre-filtering the performance of both classifiers is approximately the same.