State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems - a review

Given the considerable recent attention to distributed power generation and interest in sustainable energy, the integration of photovoltaic (PV) systems to grid-connected or isolated microgrids has become widespread. In order to maximize power output of PV system extensive research into control strategies for maximum power point tracking (MPPT) methods has been conducted. According to the robust, reliable, and fast performance of artificial intelligence-based MPPT methods, these approaches have been applied recently to various systems under different conditions. Given the diversity of recent advances to MPPT approaches a review focusing on the performance and reliability of these methods under diverse conditions is required. This paper reviews AI-based techniques proven to be effective and feasible to implement and very common in literature for MPPT, including their limitations and advantages. In order to support researchers in application of the reviewed techniques this study is not limited to reviewing the performance of recently adopted methods, rather discusses the background theory, application to MPPT systems, and important references relating to each method. It is envisioned that this review can be a valuable resource for researchers and engineers working with PV-based power systems to be able to access the basic theory behind each method, select the appropriate method according to project requirements, and implement MPPT systems to fulfill project objectives.

Visions of the virtual : the role of computers and artificial intelligence in a selection of Australian young adult fiction

Advances in computer technology over the last twenty years have resulted in a number of different visions of what it means to be real, and of what it means to be human. This paper will explore how computers and artificial intelligence are used as major themes in four Australian novels written for young adults: Gillian Rubinstein’s Space Demons trilogy — comprising Space Demons, Skymaze and Shinkei — and Michael Pryor’s The Mask of Caliban. In so doing, the paper will look at how these texts explore the relationship between increasingly developed technology and visions of a better world. By comparing a series of oppositions that occur in all four books, this paper will look at how the theme of technology is used to privilege particular values and to advocate particular beliefs.

An artificial intelligence examination of the influence of geological conditions and changes in climate on damage to light structures in Victoria

Damage to light structures in the state of Victoria can be caused by movements of expansive soils. The presentation will present the results of an examination of reports of increasing complaints of house damage in Victoria and particularly in the Melbourne area. The examination analyses the influence of geology and change in climate using Neural Network and Genetic Algorithm approaches and assesses their relative importance in contributing to the cause of the damage.

Masculinity theory in applied research with men and boys with intellectual disability

Researchers in intellectual disability have had limited theoretical engagement with mainstream theories of masculinity. In this article, the authors consider what mainstream theories of masculinity may offer to applied research on, and hence to therapeutic interventions with, men and boys with intellectual disability. An example from one research project that explored male sexual health illustrates how using masculinity theory provided greater insight into gendered data. Finally, we discuss the following five topics to illustrate how researchers might use theories of masculinity: (a) fathering, (b) male physical expression, (c) sexual expression, (d) men's health, and (e) underweight and obesity. Theories of masculinity offer an additional framework to analyze and conceptualize gendered data; we challenge researchers to engage with this body of work.

Practical field use of eye-tracking devices for consumer research in the retail environment

Eye-tracking equipment is now affordable and portable, making it a practical instrument for consumer research. Engineered to best analyze gaze on a plane (e.g., a retail shelf), both portable eye-tracking glasses and computer monitor–mounted hardware can play key roles in analyzing merchandise displays to better understand what consumers view. Researchers and practitioners can use that information to improve the sales efficacy of displays. Eye-tracking hardware was nearly exclusively used to investigate the reading process but can now be used for a broader range of study, namely in retail settings. This article presents an approach to using glasses eye tracker (GET) and light eye tracker (LET) eye-tracking hardware for applied consumer research in the field. We outline equipment use, study construction, data extraction as well as benefits and limitations of the technology collected from several pilot studies.

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Electrical load forecasting plays a vital role in order to achieve the concept of next generation power system such as smart grid, efficient energy management and better power system planning. As a result, high forecast accuracy is required for multiple time horizons that are associated with regulation, dispatching, scheduling and unit commitment of power grid. Artificial Intelligence (AI) based techniques are being developed and deployed worldwide in on Varity of applications, because of its superior capability to handle the complex input and output relationship. This paper provides the comprehensive and systematic literature review of Artificial Intelligence based short term load forecasting techniques. The major objective of this study is to review, identify, evaluate and analyze the performance of Artificial Intelligence (AI) based load forecast models and research gaps. The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. Published literature presented in this paper show the potential of AI techniques for effective load forecasting in order to achieve the concept of smart grid and buildings.

Participatory research in EE: some issues of epistemology and methodology

The conference theme of epistemology and methodology suggests an interest in epistemological issues in environmental education research. I have argued previously that for too long there seemed to be a blindness in environmental education research: that there was an unwarranted assumption that all research in environmental education was and should be conducted within an applied science conceptual framework that did not recognise nor problematise the epistemological assumptions of research. In this paper I intend to address the issue of epistemological coherence between the substantive subject matters of environmental education on the one hand and research, methodology on the other. The paper will draw upon two recent international environmental education projects to explore issues concerning the nature, status and role of research in environmental education. A number of features of community-based environment development projects in two different settings will be described, illustrating the complexity and contextuality of environmental issues as subject matters for environmental education. The implications for research that seeks to acknowledge and respect relationships within community contexts will be considered in relation to the following questions: Whose research agenda? The importance of project partnerships Participants' preconceptions about the nature of research. What is 'rigor' in participatory research in environmental education'?

Teaching and live performances : applied theatre in universities and schools

This article compares the classroom process of school teachers and university lecturers to the activity of theatrical performance. In doing so, it probes the potential of live performance as an educational instrument. It concludes by tracing some of the history of applications of theatre to education, from the time of Brecht to the present day.

Defining educational research : a perspective of/on presidential addresses and the Australian Association for Research in Education

This paper is concerned with the definition of the field of educational research and the changing and developing role of the Australian Association for Research in Education (AARE) in representing and constituting this field. The evidence for the argument is derived from AARE Presidential Addresses across its 40-year history. The paper documents the enhanced complexity and diversity of the field over these 40 years, including the emergence of a global educational policy field, theoretical and methodological developments in the social sciences and new research accountabilities such as the Excellence in Research for Australia (ERA) measure. Specifically, the paper suggests that the evidence-based movement in public management and education policy, and the introduction of the ERA, potentially limit and redefine the field of educational research, reducing the usefulness and relevance of educational research to policy makers and practitioners. This arises from a failure to recognise that Education is both a field of research and a field of policy and practice. Located against both developments, the paper argues for a principled eclecticism framed by a reassessment of quality, which can be applied to the huge variety of methodologies, theories, epistemologies and topics legitimately utilised and addressed within the field of educational research. At the same time, the paper argues the need to globalise the educational research imagination and deparochialise educational research. This call is located within a broader argument suggesting the need for a new social imaginary (in a post-neoliberal context of the global financial crisis) to frame educational policy and practice and the contribution that educational theory and research might make to its constitution. In relation to this, the paper considers the difficulties that political representations of such a new imaginary might entail for the President and the Association, given the variety of its membership and huge diversity of its research interests.

Predicting house damage class using artificial intelligence method

The unsatisfactory performance of light structures founded on expansive soils subject to seasonal movements is frequently reported since the early 1950's in Australia. Excessive movements have caused damage to numerous structures that have not been adequately designed to accommodate soil volume changes. However, the sole presence of expansive soil is not necessarily the main cause of damage. Other factors such as vegetation, climate factors, types of construction materials and geology type may also contribute. This paper presents a model which predicts the damage class by analyzing combinations of the contributing factors using artificial intelligence methods. This model can help to identify if any serious and urgent repairs are necessary and immediate actions could be initiated without delay.

Extensions to knowledge acquisition and effect of multimodal representation in unsupervised learning

The phenomenal behaviour and composition of human cognition is yet to be defined comprehensibly. Developing the same, artificially, is a foremost research area in artificial intelligence and related fields. In this chapter we look at advances made in the unsupervised learning paradigm (self organising methods) and its potential in realising artificial cognitive machines. The first section delineates intricacies of the process of learning in humans with an articulate discussion of the function of thought and the function of memory. The self organising method and the biological rationalisations that led to its development are explored in the second section. The next focus is the effect of structure restrictions on unsupervised learning and the enhancements resulting from a structure adapting learning algorithm. Generation of a hierarchy of knowledge using this algorithm will also be discussed. Section four looks at new means of knowledge acquisition through this adaptive unsupervised learning algorithm while the fifth examines the contribution of multimodal representation of inputs to unsupervised learning. The chapter concludes with a summary of the extensions outlined.

New artificial intelligence based tire size identification for fast and safe inflating cycle

Motor vehicle accidents are one of the main killers on the road. Modern vehicles have several safety features to improve the stability and controllability. The tire condition is critical to the proper function of the designed safety features. Under or over inflated tires adversely affects the stability of vehicles. It is generally the vehicle's user responsibility to ensure the tire inflation pressure is set and maintained to the required value using a tire inflator. In the tire inflator operation, the vehicle's user sets the desired value and the machine has to complete the task. During the inflation process, the pressure sensor does not read instantaneous static pressure to ensure the target value is reached. Hence, the inflator is designed to stop repetitively for pressure reading and avoid over inflation. This makes the inflation process slow, especially for large tires. This paper presents a novel approach using artificial neural network based technique to identify the tire size. Once the tire size is correctly identified, an optimized inflation cycle can be computed to improve performance, speed and accuracy of the inflation process. The developed neural network model was successfully simulated and tested for predicting tire size from the given sets of input parameters. The test results are analyzed and discussed in this paper.

A framework for electronic commerce research in small to medium-sized enterprises

It is believed that the recent emergence of electronic commerce (e-commerce) in the early '90s could provide different opportunities to small to medium-sized enterprises (SME's) in overcoming part of their technological, environmental, organizational, and managerial inadequacies. However, recent research portrays a gloomy picture about e-commerce uptake and use in SME's. Therefore, the implication here is twofold. Initially, there is a need to generate more e-commerce research that could penetrate much deeper into main impending issues pertaining to the SME’s in their potential uptake and use of e-commerce. On the other hand, e-commerce is characterized of being embryonic but growing very fast and fragmented across the different disciplines, which makes the task of capturing its different perspectives a very complex one. The preceding two implications represent the greatest challenge for researchers and professionals interested in undertaking e-commerce research in SME’s. In line with the above implications, the first objective of this research aims at capturing the different e-commerce perspectives from the SMEs' point of view, and the second objective aims at capturing the e-commerce perspective from the theoretical and the methodological point of view. Addressing the preceding implications in this research could shed some light into some of the gray areas in the e-commerce research in SMEs.