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Institution

City University London

EducationLondon, United Kingdom
About: City University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 5735 authors who have published 17285 publications receiving 453290 citations.


Papers
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Journal ArticleDOI
TL;DR: Findings are interpreted as providing further support for the idea that recognition memory entails two distinct components, one based on associative and contextual information, the other based on a “traceless” awareness of familiarity.
Abstract: The functional relation between recognition memory and conscious awareness was assessed in an experiment in which undivided attention at study was compared with two divided attention conditions, one more demanding than the other. When recognizing a word from the study list, subjects indicated whether they could consciously recollect its prior occurrence or recognized it on some other basis, in the absence of conscious recollection. Divided attention at study progressively impaired word recognition accompanied by conscious recollection. Recognition in the absence of conscious recollection was not affected by divided attention. These findings are interpreted as providing further support for the idea that recognition memory entails two distinct components, one based on associative and contextual information, the other based on a "traceless" awareness of familiarity.

382 citations

Proceedings Article
06 Feb 2020
TL;DR: This work proposes a novel application of the U-Net architecture — initially developed for medical imaging — for the task of source separation, given its proven capacity for recreating the fine, low-level detail required for high-quality audio reproduction.
Abstract: A system, method and computer product for training a neural network system. The method comprises applying an audio signal to the neural network system, the audio signal including a vocal component and a non-vocal component. The method also comprises comparing an output of the neural network system to a target signal, and adjusting at least one parameter of the neural network system to reduce a result of the comparing, for training the neural network system to estimate one of the vocal component and the non-vocal component. In one example embodiment, the system comprises a U-Net architecture. After training, the system can estimate vocal or instrumental components of an audio signal, depending on which type of component the system is trained to estimate.

378 citations

Journal ArticleDOI
TL;DR: The factors affecting Cloud computing adoption, vulnerabilities and attacks are surveyed, and relevant solution directives to strengthen security and privacy in the Cloud environment are identified.
Abstract: Cloud computing offers scalable on-demand services to consumers with greater flexibility and lesser infrastructure investment. Since Cloud services are delivered using classical network protocols and formats over the Internet, implicit vulnerabilities existing in these protocols as well as threats introduced by newer architectures raise many security and privacy concerns. In this paper, we survey the factors affecting Cloud computing adoption, vulnerabilities and attacks, and identify relevant solution directives to strengthen security and privacy in the Cloud environment.

376 citations

Journal ArticleDOI
TL;DR: A method and software assistant tool for scenario based RE that integrates with use case approaches to object oriented development and suggests appropriate generic requirements to deal with the problems encountered is reported.
Abstract: Scenarios have been advocated as a means of improving requirements engineering yet few methods or tools exist to support scenario based RE. The paper reports a method and software assistant tool for scenario based RE that integrates with use case approaches to object oriented development. The method and operation of the tool are illustrated with a financial system case study. Scenarios are used to represent paths of possible behavior through a use case, and these are investigated to elaborate requirements. The method commences by acquisition and modeling of a use case. The use case is then compared with a library of abstract models that represent different application classes. Each model is associated with a set of generic requirements for its class, hence, by identifying the class(es) to which the use case belongs, generic requirements can be reused. Scenario paths are automatically generated from use cases, then exception types are applied to normal event sequences to suggest possible abnormal events resulting from human error. Generic requirements are also attached to exceptions to suggest possible ways of dealing with human error and other types of system failure. Scenarios are validated by rule based frames which detect problematic event patterns. The tool suggests appropriate generic requirements to deal with the problems encountered. The paper concludes with a review of related work and a discussion of the prospects for scenario based RE methods and tools.

376 citations

Journal ArticleDOI
TL;DR: The results indicated that speech and language therapy might be effective for children with phonological or expressive vocabulary difficulties and longer duration of therapy was identified as being a potential factor in good clinical outcomes.
Abstract: A meta-analysis was carried out of interventions for children with primary developmental speech and language delays/disorders. The data were categorized depending on the control group used in the s...

376 citations


Authors

Showing all 5822 results

NameH-indexPapersCitations
Andrew M. Jones10376437253
F. Rauscher10060536066
Thorsten Beck9937362708
Richard J. K. Taylor91154343893
Christopher N. Bowman9063938457
G. David Batty8845123826
Xin Zhang87171440102
Richard J. Cook8457128943
Hugh Willmott8231026758
Scott Reeves8244127470
Sarah-Jayne Blakemore8121129660
Mats Alvesson7826738248
W. John Edmunds7525224018
Sheng Chen7168827847
Christopher J. Taylor7141530948
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022188
20211,030
20201,011
2019939
2018879