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Data mining is the process of detecting knowledge from a given huge data set. Among the data set, multimedia is the data which contains diverse data such as audio, video, image, text and motion. In this growing field of video data, mining the video data plays vital role in the field of video data mining. In video data mining, video data are grouped into frames. In this vast amount of video frames, the fast retrieval of needed information is important one. This paper aims to propose a Birch-based clustering method for content-based image retrieval.

In image retrieval system, image segmentation plays a very important role. A text file, normally, is divided into sections, that is, piece, sentences, word and character for this information which are organized and indexed effectively like in a video, the information is dynamic in nature and this information is converted to static for easy retrieval. For this, video files are divided into a number of frames or segments. After the segmentation process, images are trained for retrieval process, and from these, unwanted images are removed from the data set. The noise or unwanted image removal pseudo-code is shown below. In the code image, pixel value represents the value of the difference between the two adjacent image pixel values. By assuming a threshold for the image value, the duplicate images are found. After finding the duplicate image, it is removed from the data set. Clustering is used in many applications as a stand-alone tool to get insight into data distribution and as a pre-processing step for other algorithms (Ester et al., 1996). Specifically, it is used in pattern recognition, spatial data analysis, image processing, economic science document classification, etc. Hierarchical clustering algorithms are classified as agglomerative or divisive. BRICH uses clustering attribute (CA) and clustering feature hierarchy (CA_Hierarchy) for the formation of clusters. It perform multidimensional data objects. Every BRICH algorithm based on the memory-oriented information, that is, memory constrains, is involved in the processing of the data sets. This information is represented in Figures 6-10. For forming clusters, they use the amount of object in the cluster (A), the sum of all points in the data set (S) and need the square value of the all objects (P).

The proposed technique brings an effective result for cluster formation.

BRICH uses a novel approach to model the degree of inter-connectivity and closeness between each pair of clusters that takes into account the internal characteristics of the clusters themselves.

In his explication of nationalist activity in Scotland since 1707, Tony Dickson, although falling into the realms of economic expressivism, must be commended for raising a number of important issues which have until recently been elusive, or, at least, never considered together. It is the inter‐relation of these issues which, for the first time, allows us to begin to develop a specific theory of Scottish Nationalism. These issues may be compartmentalised into three broad pre‐requisites:

This paper aims to consider the impact of outcome-based education (OBE) on students studying human services degrees, particularly those in a policing program. This work examines the validity of the notion that OBE is a progressive teaching approach that improves the quality of education and subsequently professional practice.

A critical analysis of a systemised outcome-based teaching and learning approach is adopted.

OBE has, as an idea, swept across most educational institutions in an apparently revolutionary wave. However, any critical scrutiny of this systemised approach to teaching and learning calls into question whether it is really progressive or empty rhetoric achieving reactionary ends. Any systemised attempt at social change by way of neo-liberal outcomes that are not principle-driven will serve only to reinforce a philosophy of aggressive competition and individualism at the expense of the rule of law and social policy that is situated on a social contract foundation.

The practical implications of this paper relate to the delivery of higher education teaching, with particular reference to human service degrees such as policing: the use of post-modernist theory to develop contemporary teaching and learning systems has created challenges with regards to scientific knowledge; a principled, deontological teaching and learning system rather than a utilitarian “outcome”-based delivery is proposed; the validity of the notion that outcome-based teaching and learning systems are progressive initiatives that improve the quality of education is questioned; and the impact of OBE for students entering human services professions such as policing has implications for public and community safety.

This paper considers the efficacy of OBE as a model for higher education teaching, with particular reference to human services degrees such as policing.

The purpose of this paper is to investigate how the context of open innovation offered by accelerators can affect the successful growth of start-ups. The authors explore accelerators practices and tools in sustaining start-ups and increasing survival probability in their innovation process, with the aim of addressing the following research question: how can start-ups benefit from participation in an accelerator programme from an open innovation perspective?

A review of the literature on start-up successes and failures and on major practices in the open innovation paradigm was carried out, delineating them in the context of accelerators. Given the absence of literature on accelerator practices for supporting start-ups, and aiming at a comprehensive understanding of how the open environment within the accelerator influences a start-up’s survival (or even success) by mitigating the probability of failure, the authors conducted an exploratory case study in an English accelerator.

The open innovation practices mediated by an accelerator and the ones that are not covered, but that can benefit a start-up’s survival, are shown. On the one hand, main effective practices, such as dyadic co-creation with accelerator network partners and crowdsourcing, are revealed to address mostly the lack of, or wrong direction in, product, marketing and relative managerial abilities, which are not usually owned by a start-up due to its “newness”. On the other hand, some causes of failures, such as the intrinsic characteristics of founder teams, do not seem to be addressed by an open approach and neither does participation in an accelerator programme.

This paper is the first to study and link the literature on accelerators, start-ups and open innovation.

Purpose – This study analyzes the rhetoric casting U.S. President Barack Obama in the role of betraying and undermining the nation because he seeks government policies supporting a social safety net, gay rights, abortion rights, and other progressive agendas.

Methodology/Approach – The analysis is based on sociological social movement theories, especially the interrelationship of ideology, frames, and narratives in understanding how activists take their ideas and turn them in to action. The power devaluation model of Rory McVeigh is applied to the construction of reality used by right-wing anti-Obama forces, especially those linked to the various Tea Party movements.

Findings – The most militant anti-Obama ideologues construct frames and narratives based on a dualistic worldview in which Obama and liberals in general are demonized and scapegoated for existing economic, social, and political problems.

Research limitations/implications – More scholarly research using statistical analysis of the views and demographics of Tea Party supporters is needed to provide a complete picture of this new social/political movement.

Practical implications – By showing that right-wing populists are basing their beliefs on a long history of similar frames and narratives, this study can help prompt a more constructive response by political opponents who wrongly demonize the Tea Party supporters and their allies as ignorant or crazy.

CLOSE collaboration between Dowty Aerospace Plc and CHAM on the Bi‐stable valve design for the A340 European Airbus main landing gear has enhanced passenger comfort.