Constructing detectors in schema complementary space for anomaly detection

This paper proposes an extended negative selection algorithm for anomaly detection. Unlike previously proposed negative selection algorithms which directly construct detectors in the complementary space of self-data space, our approach first evolves a number of common schemata through coevolutionary genetic algorithm in self-data space, and then constructs detectors in the complementary space of the schemata. These common schemata characterize self-data space and thus guide the generation of detection rules. By converting data space into schema space, we can efficiently generate an appropriate number of detectors with diversity for anomaly detection. The approach is tested for its effectiveness through experiment with the published data set iris.

MDSM: microarray database schema matching using the Hungarian method

Current microarray databases use different terminologies and structures and thereby limit the sharing of data and collating of results between laboratories. Consequently, an effective integrated microarray data model is required. One important process to develop such an integrated database is schema matching. In this paper, we propose an effective schema matching approach called MDSM, to syntactically and semantically map attributes of different microarray schemas. The contribution from this work will be used later to create microarray global schemas. Since microarray data is complex, we use microarray ontology to improve the measuring accuracy of the similarity between attributes. The similarity relations can be represented as weighted bipartite graphs. We determine the best schema matching by computing the optimal matching in a bipartite graph using the Hungarian optimisation method. Experimental results show that our schema matching approach is effective and flexible to use in different kinds of database models such as; database schema, XML schema, and web site map. Finally, a case study on an existing public microarray schema is carried out using the proposed method.

Computer-aided design decision support: interfacing knowledge and information

Computer-aided design decision support has proved to be an elusive and intangible project for many researchers as they seek to encapsulate information and knowledge-based systems as useful multifunctional data structures. Definitions of ‘knowledge', ‘information', ‘facts', and ‘data' become semantic footballs in the struggle to identify what designers actually do, and what level of support would suit them best, and how that support might be offered. The Construction Primer is a database-drivable interactive multimedia environment that provides readily updated access to many levels of information aimed to suit students and practitioners alike. This is hardly a novelty in itself. The innovative interface and metadata structures, however, combine with the willingness of national building control legislators, standards authorities, materials producers, building research organisations, and specification services to make the Construction Primer a versatile design decision support vehicle. It is both compatible with most working methodologies while remaining reasonably future-proof. This paper describes the structure of the project and highlights the importance of sound planning and strict adhesion to library-standard metadata protocols as a means to avoid the support becoming too specific or too paradigmatic.

Nutrition knowledge and food consumption: can nutrition knowledge change food behaviour?

The status and explanatory role of nutrition knowledge is uncertain in public health nutrition. Much of the uncertainty about this area has been generated by conceptual confusion about the nature of knowledge and behaviours, and, nutrition knowledge and food behaviours in particular. So the paper  describes several key concepts in some detail. The main argument is that 'nutrition knowledge' is a necessary but not sufficient factor for changes in consumers' food behaviours. Several classes of food behaviours and their causation are discussed. They are influenced by a number of environmental and intra-individual factors, including motivations. The interplay between motivational factors and information processing is important for nutrition promoters as is the distinction between declarative and procedural  knowledge. Consideration of the domains of nutrition knowledge shows that their utility is likely to be related to consumers' and nutritionists' particular goals and viewpoints. A brief survey of the recent literature shows that the evidence for the influence of nutrition knowledge on food behaviours is mixed. Nevertheless, recent work suggests that nutrition knowledge may play a small but pivotal role in the adoption of healthier food habits. The implications of this overview for public health nutrition are: (i) We need to pay greater attention to the development of children's and adults' knowledge frameworks (schema building); (ii) There is a need for a renewed proactive role for the education sector; (iii) We need to take account of consumers' personal food goals and their acquisition of procedural knowledge which will enable them to attain their goals; (iv) Finally, much more research into the ways people learn and use food-related knowledge is required in the form of experimental interventions and longitudinal studies.

Marketing position taxonomies : an empirical analysis

Despite the continuing need for an empirically validated classification of marketing positions, for theoretical and practical purposes, it appears that no such schema exists. This study contributes to the development of such a taxonomy through an empirical examination of marketing positions. Specifically, the research extends an existing taxonomy by empirically investigating personal selling marketing activities. Based on the taxonomy developed by Darmon (1998), data were collected about the information load, information complexity, and time and relationship management activities of marketers. Various analytical techniques were used to investigate specific features of the instrument and the taxonomy, as well as to provide convergence for the conclusions drawn by the researchers. It was established that sales positions can be more meaningfully identified, and, therefore, better categorised, by six dimensions than by job title or job role. Further, it appears that marketers in the same selling position vary significantly on these dimensions. These findings have important implications for marketing theory, applied research and management. However, future research should refine the instrument used in this study, since some anomalies emerged in the findings, and extend the study by investigating a wider range of marketing positions. Such research may also explore whether the dimensions identified in this study influence the performance and job satisfaction of marketers, and the extent to which marketing managers account for these variations.

Haptic control of multi-axis robotic systems

Control of tele-operated remote robot’s is nothing new; the public was introduced to this 'new' field in 1986 when the Chernobyl cleanup began. Pictures of weird and wonderful robotic workers pouring concrete or moving rubble flooded the world. Integration of force feedback or 'haptics' to remote robot's is a new development and one that is likely to make a big difference in man-machine interaction. Development of haptic capable tele-operation schema is a challenge. Often platform specific software is developed for one off tasks. This research focussed on the development of an open software platform for haptic control of multiple remote robotic platforms. The software utilises efficient server/client architecture for low data latency, while efficiently performing required kinematic transforms and data manipulation in real time. A description of the algorithm, software interface and hardware is presented in this paper. Preliminary results are encouraging as haptic control has been shown to greatly enhances remote positioning tasks.

The consistency of false suggestions moderates children`s reports of a single instance of a repeated event: predicting increases and decreases in suggestibility.

Participants (6- and 7-year-olds, N = 130) participated in classroom activities four times. Children were interviewed about the final occurrence (target event) either 1 week or 4 weeks later, during which half of the event items were described inaccurately. Half of these suggestions were consistent with the theme of the detail across the occurrences (e.g., always sat on a kind of floor mat) or were inconsistent (e.g., sat on a chair). When memory for the target event was tested 1 day later, children falsely recognized fewer inconsistent suggestions than consistent suggestions, especially compared with a control group of children who experienced the event just one time. Furthermore, the longer delay reduced accuracy only for consistent suggestions. Source-monitoring ability was strongly and positively related to resistance to suggestions, and encouraging children to identify the source of false suggestions allowed them to retract a significant proportion of their reports of inconsistent suggestions but not of consistent suggestions. The results suggest that the gist consistency of suggestions determines whether event repetition increases or decreases suggestibility.

Extensible detection and indexing of highlight events in broadcasted sports video

Content-based indexing is fundamental to support and sustain the ongoing growth of broadcasted sports video. The main challenge is to design extensible frameworks to detect and index highlight events. This paper presents: 1) A statistical-driven event detection approach that utilizes a minimum amount of manual knowledge and is based on a universal scope-of-detection and audio-visual features; 2) A semi-schema-based indexing that combines the benefits of schema-based modeling to ensure that the video indexes are valid at all time without manual checking, and schema-less modeling to allow several passes of instantiation in which additional elements can be declared. To demonstrate the performance of the events detection, a large dataset of sport videos with a total of around 15 hours including soccer, basketball and Australian football is used.

The origin of kinship in Oceania : Lewis Henry Morgan and Lorimer Fison

This article investigates the importance of Oceania in the early study of kinship. It examines the tensions between evidence and analysis from the Pacific Islands in the development of Lewis Henry Morgan's theory of evolving kinship forms. While other sources from the Pacific islands are investigated it is focused particularly on the correspondence between Morgan and Lorimer Fison, Methodist missionary and key figure in the spread of kinship schedules and anthropological theories throughout Oceania in the I 870s. The empirical data gathered by Fison, challenged Morgan's schema and questioned the orthodox evolutionist hierarchy in Asia and the Pacific. Also investigated is the British response to this unruly
evidence.

Multimodality pedagogies : a multiliteracies approach

This paper draws on outcomes of a case study which explored changes in teachers' literacy pedagogies as a result of their participation in a purpose-driven teacher professional learning project. The teachers sought to develop classroom responses which were cognisant of multimodal shifts resulting from an increasingly digitised, networked communications environment. Recognising the powerful influence of the teacher on student outcomes, the study sought to investigate teacher learning as a means for influencing print-based literacy pedagogies to incorporate multimodality literacy practices. Four teachers engaged in participatory action research, researching their literacy pedagogies in light of the New London Group's multiliteracies theory (1996; 2000). Schemas derived from multiliteracies theory acted as stimuli for expanding teachers' multimodality pedagogies, consequently addressing disjunctures between multimodal and print-based literacies. Patterns in teachers' pedagogical choices are illustrated through the analytical use of the 'multimodal schema'.

A scalable and extensible segment-event-object-based sports video retrieval system

Sport video data is growing rapidly as a result of the maturing digital technologies that support digital video capture, faster data processing, and large storage. However, (1) semi-automatic content extraction and annotation, (2) scalable indexing model, and (3) effective retrieval and browsing, still pose the most challenging problems for maximizing the usage of large video databases. This article will present the findings from a comprehensive work that proposes a scalable and extensible sports video retrieval system with two major contributions in the area of sports video indexing and retrieval. The first contribution is a new sports video indexing model that utilizes semi-schema-based indexing scheme on top of an Object-Relationship approach. This indexing model is scalable and extensible as it enables gradual index construction which is supported by ongoing development of future content extraction algorithms. The second contribution is a set of novel queries which are based on XQuery to generate dynamic and user-oriented summaries and event structures. The proposed sports video retrieval system has been fully implemented and populated with soccer, tennis, swimming, and diving video. The system has been evaluated against 20 users to demonstrate and confirm its feasibility and benefits. The experimental sports genres were specifically selected to represent the four main categories of sports domain: period-, set-point-, time (race)-, and performance-based sports. Thus, the proposed system should be generic and robust for all types of sports.