Combining NL processing and video data to query American football

We explore the use of natural language understanding and image processing to index and query American Football tapes. We present a model for representing spatio-temporal characteristics of multiple objects in dynamic scenes in this domain, and a recognition system which uses the model to recognise American Football plays.

Nonnegative Matrix Factorization Applied to Nonlinear Speech and Image Cryptosystems

Nonnegative matrix factorization (NMF) is widely used in signal separation and image compression. Motivated by its successful applications, we propose a new cryptosystem based on NMF, where the nonlinear mixing (NLM) model with a strong noise is introduced for encryption and NMF is used for decryption. The security of the cryptosystem relies on following two facts: 1) the constructed multivariable nonlinear function is not invertible; 2) the process of NMF is unilateral, if the inverse matrix of the constructed linear mixing matrix is not nonnegative. Comparing with Lin's method (2006) that is a theoretical scheme using one-time padding in the cryptosystem, our cipher can be used repeatedly for the practical request, i.e., multitme padding is used in our cryptosystem. Also, there is no restriction on statistical characteristics of the ciphers and the plaintexts. Thus, more signals can be processed (successfully encrypted and decrypted), no matter they are correlative, sparse, or Gaussian. Furthermore, instead of the number of zero-crossing-based method that is often unstable in encryption and decryption, an improved method based on the kurtosis of the signals is introduced to solve permutation ambiguities in waveform reconstruction. Simulations are given to illustrate security and availability of our cryptosystem.

Anaerobic treatment of juice and fruit-processing effluents

Effluents from the juice and fruit processing industries have high organic matter content. Discharge of these effluents without appropriate treatment would therefore have a negative impact on the environment. High organic contents and low contamination levels make such effluents suitable for biological treatment, especially anaerobic digestion. In the latter process, significant amounts of digester gas can be produced, turning a waste stream into a source of renewable energy that can be used for electricity and heat production, leading to financial benefits.This paper investigates the feasibility of anaerobic digestion and the gas generation potential of five different effluents from the carrot-juice, orange-juice and sultana processing industries. Benefits are assessed in terms of digester gas production and organic matter reduction. The results show that the specific gas production ranges between 665 and 860 m3 per tonne of effluent treated (as organic dry matter). Furthermore, nearly 100% of the organic matter is converted into gas in the case of the carrot- and orange-juice processing residues, while a 84.5% reduction of the organic matter was found to be achievable in the case of the sultana wastes. While these results are promising, further testing will be required to validate them in a larger scale.

Emotional intelligence and teaching situations : development of a new measure

This article reports on the development of a new measure entitled: Reactions to Teaching Situations to indicate levels of emotional intelligence among beginning teachers. This article discusses the concept of emotional intelligence and defends the development of such a measure specifically related to the situations in the teaching environment, an environment where emotional intelligence is considered to influence a teachers' thoughts and actions. The measure was found to have acceptable reliability and a range of individual differences was reported. Gender differences were found where female teachers reported greater likelihood of demonstrating emotional intelligence compared to male teachers. There was partial support for the four branch model of emotional intelligence. The discussion includes some projections for these findings and for the use of this measure with more experienced teachers.

Can experiential learning improve emotional intelligence and can that, in turn, improve the work performance of middle managers?

A group of middle managers in the Australian arm of a large Global company participated in a program of experiential leadership training over a period of one year. One aim of the program was increased interpersonal skills and awareness. Change was measured using a mixed quantitative and qualitative longitudinal design. Pre and post-training measures of emotional intelligence were obtained using the EIQ (Dulewicz & Higgs, 2000) and compared with content analysis of journals kept by participants during the program. The dependent variable was measured by pre and post training measures of work performance. Findings are discussed in terms of their implications for management development as well as for further research.

Marine benthic habitat mapping using multibeam data, georeferenced video and image classification techniques in Victoria, Australia

This paper contributes to a better understanding of geophysical characteristics and benthic communities in the Hopkins site in Victoria, Australia. An automated decision tree classification system was used to classify substrata and dominant biota communities. Geophysical sampling and underwater video data collected in this study reveals a complex bathymetry and biological structure which complements the limited information of benthic marine ecosystems in coastal waters of Victoria. The technique of combining derivative products from the backscatter and the bathymetry datasets was found to improve separability for broad biota and substrata categories over the use of either of these datasets alone.

Emotional intelligence and teacher self efficacy : the contribution of teacher status and length of experience

Practicing teachers and principals in selected Government schools in Victoria provided data on their levels of emotional intelligence and teacher efficacy beliefs. The data supported the theoretical expectation of a linkage between emotional intelligence and teacher self efficacy. Regression analyses showed that neither gender nor age moderated this relationship. However length of teaching experience and current status add significant direct effects on predicting teacher self efficacy but did not moderate the relationship between emotional intelligence and teacher self efficacy. These findings are significant as this now demonstrates a relationship between levels of emotional intelligence in teachers, their self efficacy beliefs and teacher effectiveness.

Corporate brand identity and image congruence in the leisure services sector : a stakeholder perspective

This paper aims to contribute to current leisure services and branding literature by conceptualising the relationship between brand identity, brand image and whether a congruent relationship between the two influences customer satisfaction and loyalty. A conceptual model is developed in the context of zoological operations, central constructs and subsequent research propositions are discussed.

Object extraction using genetic algorithms and morphological processing

This paper introduces a novel methodology for object detection using genetic algorithms and morphological processing. The method employs a kind of object oriented structuring element, which are derived using genetic algorithm operating. The population of morphological filters iteratively evaluated according to a statistical performance index corresponding to object extraction ability, and evolves into an optimal structuring elements using the evolution principles of genetic search. Experimental results of object extraction in high resolution satellite images are presented to illustrate the merit and feasibility of the proposed method.

Colour and image issues in web development

This paper describes a small set of patterns that are produced in a process of domain-wide pattern mining. We provide a brief description of the experience mining process across web development domain and explain how the resulting pattern languages were discovered. A subset of the mined patterns was selected for this paper because of their pertinence to most web development projects, i.e. colour scheme and readability issues and images download issue.