The future of non-terrestrial broadcasters in the UK television industry: the shape of things to come?

The UK television industry operates in a highly turbulent environment characterised by the rapid changes in; regulation, technology, audience behaviour and new media consumption. This competitive environment makes it difficult for television companies to identify strategies for growth and may indeed place their very survival at risk. This paper investigates the future of the non-terrestrial television broadcasters (NTBs) in the UK and examines how they can maintain and develop their position as major outlets for television consumption over the next five years. Empirical data was collected using a scenario planning methodology which is widely known for its value in addressing environmental uncertainty by illustrating the future as having a limited number of possible. A range of experienced industry practitioners participated in the development of four future scenarios, based on the degree of technological convergence and the number of television gatekeepers present in the industry. Having evaluated the implications of each scenario, and identified a number of early indicators that would signpost which was most likely to come about, the participants suggested three strategic options that non-terrestrial television broadcasters might adopt to compete effectively. These strategies included; investing in and owning original and exclusive content; forming strategic partnerships with other media companies; making significant investment in channel brands. Key Words: UK Television Industry, Non-Terrestrial Broadcasters, Scenario Planning, Competitive Strategy

Cloud Storage and Bioinformatics in a private cloud deployment: Lessons for Data Intensive research

This paper describes service portability for a private cloud deployment, including a detailed case study about Cloud Storage and bioinformatics services developed as part of the Cloud Computing Adoption Framework (CCAF). Our Cloud Storage design and deployment is based on Storage Area Network (SAN) technologies, details of which include functionalities, technical implementation, architecture and user support. Experiments for data services (backup automation, data recovery and data migration) are performed and results confirm backup automation is completed swiftly and is reliable for data-intensive research. The data recovery result confirms that execution time is in proportion to quantity of recovered data, but the failure rate increases in an exponential manner. The data migration result confirms execution time is in proportion to disk volume of migrated data, but again the failure rate increases in an exponential manner. In addition, benefits of CCAF are illustrated using several bioinformatics examples such as tumour modelling, brain imaging, insulin molecules and simulations for medical training. Our Cloud Storage solution described here offers cost reduction, time-saving and user friendliness

Technical change in the primary metals industry

This work was supported by a National Science Foundation fellowshi

A view at desktop clouds

Cloud has emerged as a new computing paradigm that promises to move into computing-as-utility era. Desktop Cloud is a new type of Cloud computing. It merges two computing models: Cloud computing and volunteer computing. The aim of Desktop Cloud is to provide Cloud services out of infrastructure that is not made for this purpose in order to reduce running and maintenance costs. This paper discusses this new type of Cloud by comparing it with current Cloud and Desktop Grid models. It, also, presents several research challenges in Desktop Cloud that require further attention

Performance evaluation of multi-core multi-cluster architecture

A multi-core cluster is a cluster composed of numbers of nodes where each node has a number of processors, each with more than one core within each single chip. Cluster nodes are connected via an interconnection network. Multi-cored processors are able to achieve higher performance without driving up power consumption and heat, which is the main concern in a single-core processor. A general problem in the network arises from the fact that multiple messages can be in transit at the same time on the same network links. This paper considers the communication latencies of a multi-core multi-cluster architecture will be investigated using simulation experiments and measurements under various working conditions

A Study of the Relationship between Nonverbal Kindergarten Ability and Third-grade Reading Achievement

Increased scrutiny of educational proficiency targets has intensified the urgency for educators to identify measurements that indicate students’ likelihood of eventual achievement in reading. This regression analysis explored the relationship between nonverbal ability in kindergarten as measured by the Naglieri Nonverbal Ability Test (NNAT) and eventual third-grade achievement in reading and writing as measured by the Missouri Assessment Program (MAP). Naglieri and Ronning (2000) found a range of correlational r values from .49 to .56 when comparing NNAT results to results from the Stanford Achievement Test 9 (SAT-9) in reading when tested concurrently at various grade levels. The present research examined data from two cohorts of students (n = 794, 795) and produced correlational r values of .50 and .44 with a four-year span between assessment administrations. These r values are similar to those found in other research comparing ability with reading achievement in the early childhood years. Furthermore, this study examined the results of multiple regression analysis between seven student demographic subgroup categories and identified the NNAT’s ability to predict MAP achievement for each group

Full-Potential LMTO: Total Energy and Force Calculations

The essential features of a full potential electronic structure method using Linear Muffin-Tin Orbitals (LMTOs) are presented. The electron density and potential in the this method are represented with no inherent geometrical approximation. This method allows the calculation of total energies and forces with arbitrary accuracy while sacrificing much of the efficiency and physical content of approximate methods such as the LMTO-ASA method.Comment: 25 pages, 2 figures, Workshop on the TB-LMTO method, Monastery of Mont St. Odile, October 4-5, 199

Toward a framework for data quality in cloud-based health information system

This Cloud computing is a promising platform for health information systems in order to reduce costs and improve accessibility. Cloud computing represents a shift away from computing being purchased as a product to be a service delivered over the Internet to customers. Cloud computing paradigm is becoming one of the popular IT infrastructures for facilitating Electronic Health Record (EHR) integration and sharing. EHR is defined as a repository of patient data in digital form. This record is stored and exchanged securely and accessible by different levels of authorized users. Its key purpose is to support the continuity of care, and allow the exchange and integration of medical information for a patient. However, this would not be achieved without ensuring the quality of data populated in the healthcare clouds as the data quality can have a great impact on the overall effectiveness of any system. The assurance of the quality of data used in healthcare systems is a pressing need to help the continuity and quality of care. Identification of data quality dimensions in healthcare clouds is a challenging issue as data quality of cloud-based health information systems arise some issues such as the appropriateness of use, and provenance. Some research proposed frameworks of the data quality dimensions without taking into consideration the nature of cloud-based healthcare systems. In this paper, we proposed an initial framework that fits the data quality attributes. This framework reflects the main elements of the cloud-based healthcare systems and the functionality of EHR