Showing papers by "All Saints' College published in 2008"
TL;DR: Work-life balance is more about a mind-set that refuses to be dominated by a work temporality and is determined to create "me time" rather than e.g. simply choosing a four day week or a part-time job as mentioned in this paper.
Abstract: This article poses a challenge to the orthodox binary, conceptualization of work–life balance only made possible by relying on the widespread ‘clock time’ worldview, which understands employment practices in terms of the basic time = money equation. In particular, it is the balance metaphor which relies on a quantification of both work and life in order to make sense and can therefore be seen to be based on an understanding of time as a measurable and value-able unit. This article seeks to begin the exercise of examining the concept of work–life balance through a broader concept of the temporal dimension than simply limited quantitative notions. Two temporal themes are reported from a study which identified employees who had customized their working pattern to suit the various and multi-dimensional facets of their lifestyles and thereby successfully improved their work–life balance. Participants in this study demonstrated that an improved work–life balance is more about a mind-set that refuses to be dominated by a work temporality and is determined to create ‘me time’ rather than e.g. simply choosing a four day week or a part-time job. It is argued that the notion of work–life balance is more usefully conceptualized within a broader notion of ‘livingscapes’ which contain both elements of work and life and that as researchers, our challenge must be to reflect the complexity of this weave within our analyses of individuals’ work–life balance.
57 citations
16 Jul 2008
TL;DR: A number of technical indicators, back propagation neural network and genetic based backpropagation neural network to predict the stock price of the day are presented.
Abstract: A challenging and daunting task is to find out which is more effective and accurate method for stock rate prediction so that a buy or sell signal can be generated for given stocks. This paper presents a number of technical indicators, back propagation neural network and genetic based backpropagation neural network to predict the stock price of the day. Stock rate prediction accuracy of different technical indicators, backpropagation neural network and genetic algorithm based backpropagation neural network has been compared. The results showed that the genetic algorithm based backpropagation neural network predict stock price more accurately as compared to other techniques.
40 citations
TL;DR: This article reviewed a number of books written by former football hooligans in which they describe their violent activities during the 1960s through to the 1980s when British Football hooliganism was at its peak.
Abstract: Recent years have seen the publication of a number of books written by former football hooligans in which they describe their violent activities during the 1960s through to the 1980s when British football hooliganism was at its peak. This essay reviews the background to the auto/biographical ‘hoolie‐lit’ publishing genre and considers the value of these accounts when researching hooliganism, together with an exploration of their themes and common trends. The essay sifts and sorts through these memory‐based auto/biographical accounts and concludes that very few offer any meaningful insight or merit in the study of football hooliganism. A small number of books are recommended as making a significant contribution whilst the vast majority are found wanting due to the cliched written style, formulaic structure and thoroughly narcissistic tone.
19 citations
01 Dec 2008
TL;DR: This paper compares the quality of clustering of ART1 based clustering with k-mean clustering technique and self organizing neural network (SOM) clustering algorithm in terms of intra-cluster distances and indicates the clusters formed by ART1 clustering approach are much compact and isolated as compare to self organizing map and k-means based clusters.
Abstract: In this paper, we present and compare three clustering approaches which group fingerprints according to its minutiae points locations. The best technique for grouping fingerprints is based on the ART1 clustering algorithm. We compare the quality of clustering of ART1 based clustering with k-mean clustering technique and self organizing neural network (SOM) [1] clustering algorithm in terms of intra-cluster distances. Our results show that the average intra-cluster distance of the clusters formed by SOM and k-means algorithm varies from 83.36 to 127.372 and 33.925 to 58.17 respectively while the average intra-cluster distance of clusters formed by ART1 based clustering technique varies from 4.55 to 13.06, which indicates the clusters formed by ART1 clustering approach are much compact and isolated as compare to self organizing map and k-means based clustering approaches.
10 citations
TL;DR: Differences were detected between Down syndrome and non-Down syndrome handicapped children which were consistent with the suggestion that Down syndrome children characteristically show flexibility in approach to perceptual discrimination tasks and not inconsistent with interpreting perceptual processes in handicapped and normal children as essentially similar.
Abstract: Groups comprising twelve Down syndrome, twelve other mentally handicapped children and twelve normal children, matched for M.A., were tested on a visual discrimination task. There was some evidence to support the suggestion that certain types of mentally handicapped children attended to single cues, rather than to total configuration. There was also evidence of perceptual distortion resulting in reversal and attraction to "good form". Differences were detected between Down syndrome and non-Down syndrome handicapped children which were consistent with the suggestion that Down syndrome children characteristically show flexibility in approach to perceptual discrimination tasks. The results were not inconsistent with interpreting perceptual processes in handicapped and normal children as essentially similar.
7 citations
01 Dec 2008
TL;DR: An improved method for stock picking using self-organizing maps and genetic algorithm based backpropagation neural networks is proposed, which outperformed the BSE-30 Index by about 30.17% based on one and half month of stock data.
Abstract: Investment in stock market is one of the most popular type of investment. There are many conventional techniques being used and these include technical and fundamental analysis. The main aim of every investor is to earn maximum possible return on investments. The main issue with any approach is the proper weighting of criteria to obtain a list of stocks that are suitable for investments. This paper proposes an improved method for stock picking using self-organizing maps and genetic algorithm based backpropagation neural networks. The stock selected using self-organizing maps and genetic algorithm based backpropagation neural networks outperformed the BSE-30 Index by about 30.17% based on one and half month of stock data.
6 citations
16 Jul 2008
TL;DR: A fingerprint class-code generation scheme in which the clustering technique is applied to group fingerprints that can make fingerprint recognition process faster and indicates the high quality of clusters formed by the approach.
Abstract: In this paper, we present a novel approach to group fingerprints according to its minutiae point's locations. Our technique for grouping fingerprints is based on the ART1 neural network. We compare the quality of clustering of our ART1 based clustering technique with that of the self organizing neural network (SOM) clustering algorithm in terms of intra-cluster distances. Our results show that the average intra-cluster distance of the clusters formed by SOM algorithm varies from 45.689 to 210.895, while the average intra-cluster distance of clusters formed by our ART1 based clustering technique is almost constant (approximately 24.219), which indicates the high quality of clusters formed by our approach. We present a fingerprint class-code generation scheme in which we apply our clustering technique to group fingerprints that can make fingerprint recognition process faster.
4 citations
2 citations
TL;DR: In this article, the stability of electrostatic waves propagating nearly parallel to a uniform external magnetic field was studied in a fully ionized, collisional plasma of positive and negative ions and a field-aligned current of drifting electrons.
Abstract: The stability of electrostatic waves, propagating nearly parallel to a uniform external magnetic field, is studied in a fully ionized, collisional plasma of positive and negative ions and a field-aligned current of drifting electrons. Expressions have been derived for the dispersion relation and growth rate using fluid theory and retaining the collisional and conductivity terms for the electrons. The plasma can, in general, support two modes, which have frequencies that are a composite of the ion acoustic and ion gyro frequencies. The growth rate of the modes increases with increasing drift velocities of the electrons and decreases with increasing negative ion densities.
1 citations
TL;DR: In this article, the authors make an important contribution to questioning many of our contemporary taken-for-granted assumptions about the nature of social, cultural, political and historical conflicts, both in their highly politicized and more mundane manifestations.
Abstract: tensions existing around the performance of ‘youth actions’ by adults (p. 178). Sylvia Hayes then outlines a Goffmanesque approach to community formation in the context of theatre audiences, together with the significance of issues such as co-presence, shared knowledge and dialogue, and their potential roles in conflict resolution. Taken together, the papers make an important contribution to questioning many of our contemporary taken-for-granted assumptions about the nature of social, cultural, political and historical conflicts, both in their highly politicized and more mundane manifestations. My only substantial criticism of the book would be about the construction of the material object itself, and specifically its binding. Of course, the review copy may have been atypical, but within a few minutes of my starting to read the introduction the pages had begun to fall out. This, of course, does not undermine the value of the content and, binding aside, the book will be of use to anyone concerned with conflict, and anyone interested in the specific topic of any chapter should definitely seek it out. It deserves to reach a much wider audience than may be likely, given the ‘in-house’ nature of the production process, but hopefully this review will help in that regard.