Simplifying resource discovery and access in academic libraries : implementing and evaluating Summon at Huddersfield and Northumbria Universities

Facilitating information discovery and maximising value for money from library materials is a key driver for academic libraries, which spend substantial sums of money on journal, database and book purchasing. Users are confused by the complexity of our collections and the multiple platforms to access them and are reluctant to spend time learning about individual resources and how to use them - comparing this unfavourably to popular and intuitive search engines like Google. As a consequence the library may be seen as too complicated and time consuming and many of our most valuable resources remain undiscovered and underused. Federated search tools were the first commercial products to address this problem. They work by using a single search box to interrogate multiple databases (including Library catalogues) and journal platforms. While going some way to address the problem, many users complained that they were still relatively slow, clunky and complicated to use compared to Google or Google Scholar. The emergence of web-scale discovery services in 2009 promised to deal with some of these problems. By harvesting and indexing metadata direct from publishers and local library collections into a single index they facilitate resource discovery and access to multiple library collections (whether in print or electronic form) via a single search box. Users no longer have to negotiate a number of separate platforms to find different types of information and because the data is held in a single unified index searching is fast and easy. In 2009 both Huddersfield and Northumbria Universities purchased Serials Solutions Summon. This case study report describes the selection, implementation and testing of Summon at both Universities drawing out common themes as well as differences; there are suggestions for those who intend to implement Summon in the future and some suggestions for future development

Four Facets of Privacy and Intellectual Freedom in Licensing Contracts for Electronic Journals

This is a study of the treatment of library patron privacy in licenses for electronic journals in academic libraries. We begin by distinguishing four facets of privacy and intellectual freedom based on the LIS and philosophical literature. Next, we perform a content analysis of 42 license agreements for electronic journals, focusing on terms for enforcing authorized use and collection and sharing of user data. We compare our findings to model licenses, to recommendations proposed in a recent treatise on licenses, and to our account of the four facets of intellectual freedom. We find important conflicts with each

Quality interoperability within digital libraries: the DL.org perspective

Quality is the most dynamic aspect of DLs, and becomes even more complex with respect to interoperability. This paper formalizes the research motivations and hypotheses on quality interoperability conducted by the Quality Working Group within the EU-funded project DL.org (<a href="http://www.dlorg.eu">http://www.dlorg.eu/</a>). After providing a multi-level interoperability framework – adopted by DL.org - the authors illustrate key-research points and approaches on the way to the interoperability of DLs quality, grounding them in the DELOS Reference Model. By applying the DELOS Reference Model Quality Concept Map to their interoperability motivating scenario, the authors subsequently present the two main research outcomes of their investigation - the Quality Core Model and the Quality Interoperability Survey

Effectiveness in the Realisation of Speaker Authentication

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.An important consideration for the deployment of speaker recognition in authentication applications is the approach to the formation of training and testing utterances . Whilst defining this for a specific scenario is influenced by the associated requirements and conditions, the process can be further guided through the establishment of the relative usefulness of alternative frameworks for composing the training and testing material. In this regard, the present paper provides an analysis of the effects, on the speaker recognition accuracy, of various bases for the formation of the training and testing data. The experimental investigations are conducted based on the use of digit utterances taken from the XM2VTS database. The paper presents a detailed description of the individual approaches considered and discusses the experimental results obtained in different cases

UFace: Your universal password no one can see

With the advantage of not having to memorize long passwords, facial authentication has become a topic of interest among researchers. However, since many users store images containing their face on social networking sites, a new challenge emerges in preventing attackers from impersonating these users by using these online photos. Another problem with most current facial authentication protocols is that they require an unencrypted image of each registered user\u27s face to compare against. Moreover, they might require the user\u27s device to execute computationally expensive multiparty protocols which presents a problem for mobile devices with limited processing power. Finally, these authentication protocols will not be able to be implemented in real systems because they take too long to execute. In this paper, we present a novel privacy preserving facial authentication system, called UFace. Not only does UFace limit the amount of computation for a user\u27s mobile device, but it also prevents unencrypted images from leaving a user\u27 possession while finishing the authentication protocol within seconds. Web services can now outsource their authentication protocol to UFace so that each web service only needs to handle its own functionality. UFace guarantees that it can correctly authenticate each user with 90% accuracy, prevent attacks from using online photos and that all data used in the authentication protocol is done on encrypted randomized data. In other words, only the user can see the facial image and feature vector used for authentication; all other parties execute the protocol using seemingly random information. UFace was implemented through two facets: a mobile client application to obtain and encrypt the feature vector of each user\u27s facial image, and a server protocol to securely authenticate a feature vector using secure multiparty computations. The experimental results demonstrate that UFace can be used as a third party authentication tool for any number of web services --Abstract, page iii