Institution
Coventry University
Education•Coventry, United Kingdom•
About: Coventry University is a education organization based out in Coventry, United Kingdom. It is known for research contribution in the topics: Population & Higher education. The organization has 4964 authors who have published 12700 publications receiving 255898 citations. The organization is also known as: Lanchester Polytechnic & Coventry Polytechnic.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this paper, the authors applied a new tsunami vulnerability assessment method to two coastal villages in the Gulf of Corinth, Greece using the 7th February 1963 tsunami as a worse case scenario.
Abstract: . We apply a new tsunami vulnerability assessment method to two coastal villages in the Gulf of Corinth, Greece using the 7th February 1963 tsunami as a worse case scenario. In Akoli, 46.5% of all buildings are classified highly vulnerable (BV). Approximately, 26.3% of all households are located within buildings with a High BV classification whereas 85% of all businesses are located within buildings with a High BV classification and 13.7% of the population is located within buildings with a High BV classification. In Selianitika, 28.8% of all buildings are classified with a High BV and 11% of all households are located within buildings with a High BV classification. Also 29.3% of all businesses and 33.4% of all services are located within buildings with a High BV classification and 6.7% of the population is located within buildings with a High BV classification. We estimate the minimum costs of a hypothetical tsunami with a wave run-up (H(m)max) of + 5 m. The results are considered significant because they have important implications for coastal risk assessment, resource allocation and disaster management planning.
134 citations
••
TL;DR: Findings suggest that in female adolescents, there is an interaction between Intense-personal celebrity worship and body image between the ages of 14 and 16 years, and some tentative evidence has been found to suggest that this relationship disappears at the onset of adulthood, 17 to 20 years.
Abstract: This paper was published as British Journal of Health Psychology, 2005, 10 (1), pp. 17-32. It is available from http://www.ingentaconnect.com/content/bpsoc/bjhp. Doi: 10.1348/135910704X15257
134 citations
••
TL;DR: Bondevik et al. as mentioned in this paper demonstrate that at the Shetland Islands between Norway and Scotland (Figure 1), this tsunami reached onshore heights at least 20 m above the sea level of that time.
Abstract: One of the largest Holocene sub-marine slides mapped on Earth is the Storegga slide offshore Norway [Bugge, 1987] (Figure 1). Approximately 3500 km3 material slid out and generated a huge tsunami dated to about 7300 14C yr BP [Bondevik et al., 1997a], or ca 8150 calendar years BP. The tsunami is known from onshore deposits in Norway [Bondevik et al., 1997a], on the Faroe Islands [Grauert et al., 2001], and in Scotland [Dawson et al., 1993]. Of these, the tsunami deposits in western Norway reaches the highest elevation, indicating a runup of 10–12 m. In this article, we demonstrate that at the Shetland Islands between Norway and Scotland (Figure 1), this tsunami reached onshore heights at least 20 m above the sea level of that time.
134 citations
••
TL;DR: A novel approach for automated Fault Detection and Isolation (FDI) based on deep learning that can successfully diagnose and locate multiple classes of faults under real-time working conditions is presented and is shown to outperform other established FDI methods.
Abstract: Automated fault detection is an important part of a quality control system. It has the potential to increase the overall quality of monitored products and processes. The fault detection of automotive instrument cluster systems in computer-based manufacturing assembly lines is currently limited to simple boundary checking. The analysis of more complex nonlinear signals is performed manually by trained operators, whose knowledge is used to supervise quality checking and manual detection of faults. We present a novel approach for automated Fault Detection and Isolation (FDI) based on deep learning. The approach was tested on data generated by computer-based manufacturing systems equipped with local and remote sensing devices. The results show that the approach models the different spatial/temporal patterns found in the data. The approach can successfully diagnose and locate multiple classes of faults under real-time working conditions. The proposed method is shown to outperform other established FDI methods.
134 citations
••
TL;DR: In this paper, the conceptual debate on farm diversification, part-time farming, and pluriactivity is reviewed, with some advantages and disadvantages associated with each term highlighted, and an analytical distinction between farm-centred diversification and off-farm employment is made.
Abstract: The current restructuring of agriculture has resulted in many farm families adjusting their business activities as part of a survival or accumulation strategy. Considerable attention has been paid to the nonconventional methods farm businesses employ to raise income, being conceptualised variously as ‘farm diversification’, ‘part-time farming’ and ‘pluriactivity’ . These terms incorporate a complex multitude of possible options, the nature of which has led to significant differences in the interpretations of such concepts. In the first part of this paper the conceptual debate which is emerging in the literature is reviewed, with some advantages and disadvantages associated with each term highlighted. It is suggested that an analytical distinction between farm-centred diversification and off-farm employment, within the broader pluriactivity of farm households, can help to provide a focus for empirical work. To provide an illustrative example, some insights from the developing political economy of agricultu...
134 citations
Authors
Showing all 5097 results
Name | H-index | Papers | Citations |
---|---|---|---|
Xiang Zhang | 154 | 1733 | 117576 |
Zidong Wang | 122 | 914 | 50717 |
Stephen Joseph | 95 | 485 | 45357 |
Andrew Smith | 87 | 1025 | 34127 |
John F. Allen | 79 | 401 | 23214 |
Craig E. Banks | 77 | 569 | 27520 |
Philip L. Smith | 75 | 291 | 24842 |
Tim H. Sparks | 69 | 315 | 19997 |
Nadine E. Foster | 68 | 320 | 18475 |
Michael G. Burton | 66 | 519 | 16736 |
Sarah E Lamb | 65 | 395 | 28825 |
Michael Gleeson | 65 | 234 | 17603 |
David Alexander | 65 | 520 | 16504 |
Timothy J. Mason | 65 | 225 | 15810 |
David S.G. Thomas | 63 | 228 | 14796 |