Open Access Institutional Repository at Robert Gordon University

    Modeling a proton exchange membrane (PEM) fuel cell system as a hybrid power supply for standalone applications.

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    Fuel Cells (FC) can help in contributing to environmental pressures by maximizing the use of renewables in the energy production and using hydrogen produced with no CO 2 emission from Renewable Energy Systems (RES). FCs also contributes to energy security concerns by allowing a wider choice of fuels and by using it in combined heat and power applications (CHP). Thus using fuel cells will help in complying with the Scottish Government requirements. However, wide use of fuel cells in power applications cannot be reached before developing a prototype model for the simulation and performance evaluation of the fuel cell generation system to ensure its optimum performance in both stand-alone and grid-connected environments

    The dark side of flow: a qualitative study of dependence in big wave surfing.

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    Flow has been described within sport psychology as an optimal state underpinning peak performance. However, the consequences of experiencing flow may not always be beneficial. One negative consequence might be that of contributing to dependence on the activity that interacts with, or is associated with, the flow experience. This study explored the dichotomous consequences of flow, using case studies of big wave surfers. Fifteen elite surfers completed in-depth, semi-structured interviews. It seems clear from the results that the surfers experienced positive consequences of flow. However, they also exhibited symptoms of dependence on surfing. It is suggested that there may be an association between the experience of dimensions of flow and the compulsion to engage in an activity. Some specific recommendations for further research into the relationship between flow and exercise dependence are made

    Incorporating Intelligence in Fish Feeding System for Dispensing Feed Based on Fish Feeding Intensity

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    The amount of feed dispense to match fish appetite plays a significant role in increasing fish cultivation. However, measuring the quantity of fish feed intake remains a critical challenge. To addressed this problem, this paper proposed an intelligent fish feeding regime system using fish behavioral vibration analysis and artificial neural networks. The model was developed using acceleration and angular velocity data obtained through a data logger that incorporated a triaxial accelerometer, magnetometer, and gyroscope for predicting fish behavioral activities. To improve the system accuracy, we developed a novel 8-directional Chain Code generator algorithm that extracts the vectors representing escape, swimming, and feeding activities. The set of sequence vectors extracted was further processed using Discrete Fourier Transform, and then the Fourier Descriptors of the individual activity representations were computed. These Fourier Descriptors are fed into an artificial neural network, the results of which are evaluated and compared with the Fourier Descriptors obtained directly from the acceleration and angular velocity data. The results show that the developed model using Fourier Descriptors obtained from Chain Code has an accuracy of 100%. In comparison, the developed classifier using Fourier Descriptors obtained directly from the fish movements acceleration, and angular velocity has an accuracy of 35.60%. These results showed that the proposed system could be used in dispensing feeds successfully without human intervention based on the fish requirements

    Exemplar-supported representation for effective class-incremental learning.

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    Catastrophic forgetting is a key challenge for class-incremental learning with deep neural networks, where the performance decreases considerably while dealing with long sequences of new classes. To tackle this issue, in this paper, we propose a new exemplar-supported representation for incremental learning (ESRIL) approach that consists of three components. First, we use memory aware synapses (MAS) pre-trained on the ImageNet to retain the ability of robust representation learning and classification for old classes from the perspective of the model. Second, exemplar-based subspace clustering (ESC) is utilized to construct the exemplar set, which can keep the performance from various views of the data. Third, the nearest class multiple centroids (NCMC) is used as the classifier to save the training cost of the fully connected layer of MAS when the criterion is met. Intensive experiments and analyses are presented to show the influence of various backbone structures and the effectiveness of different components in our model. Experiments on several general-purpose and fine-grained image recognition datasets have fully demonstrated the efficacy of the proposed methodology

    Communication skills for effective management.

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    It is now widely recognized that communication is at the very heart of effective management. There is therefore an ever-expanding demand for valid and generalizable information on how best to relate to people in organizational contexts. Communication Skills for Effective Management meets this demand. It demonstrates how, for managers to be successful, they need to employ a range of key communication skills, styles and strategies. The contents are based upon the authors' considerable experiences of researching, teaching and consulting in a range of private and public sector organisations. From their academic and real-world involvement they have identified the core skills of effective management, presented in an academically rigorous yet student-friendly way, the reader is encouraged to interact with the material covered. Each chapter contains a series of boxed text, diagrams, tables and illustrations which summarise core points. Exercises are also provided to enable managers to put the material reviewed into practice. All of this is underpinned and supported by a firm foundation of research findings. This will be an excellent text for undergraduate business and management students studying business communication and MBA students. Practising managers will also find this book to be an invaluable resource

    When two tribes go to law: the moral foundations theory and the Brexit negotiations.

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    Complex negotiations are done by people and are often carried out in pursuit of culturally ingrained ideas such as international unity or national sovereignty. As such, they may be subject to the sorts of adaptive biases and reasoning heuristics that are present at the level of individual or collective decision making. The following commentary applies an influential model of intuitive ethics, The Moral Foundations Theory, to the Brexit negotiations. This framework suggests that moral intuitions reflect five adaptive psychological systems shaped by our evolutionary history. Focusing on the three most relevant foundations of Fairness/cheating, Loyalty/betrayal, Authority/subversion, I explore how both parties’ red lines and priorities are consistent with this criterion. In doing so, I hope to provide insight into how innate cognitive biases can inform legal processes with wide-ranging ramifications

    Flexible low-density polyethylene–BaTiO3 nanoparticle composites for monitoring leakage current in high-tension equipment. [Dataset]

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    Prepared film sample and their testing setup is included in Section S1 of Supporting Information, TEM images of the uncoated and silica-coated BaTiO3 NPs along with the TEM images of the uncoated BaTiO3 polymer NP sample and all the polymer–NP composite samples, details of the method followed for the degree of the crystallinity measurement using the DSC data and the key observations from the DSC plot and the calculated degree of crystallinity is included in Section S2 of Supporting Information, estimates of the NP/agglomerate’s sizes from all the processed TEM images for all the polymer–NP composite sample variations, and simulated 3D model of the polymer NP composite with NP/agglomerates represented as spherical entities along with the calculation of their calculated IR

    An investigation of gendered institutions and the ideal worker narrative in the Scottish ICT industry.

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    This study critically investigates gendered organisational barriers in the Scottish technology industry, in an effort to understand the impact on gender-minority workers and the most effective ways to support those workers at the firm level. Aspects of organisational culture, gendered discourses between workers and horizontal and vertical job divisions are considered in the formulation of an ideal worker narrative, which privileges some workers and marginalises others. The Scottish ICT sector presented opportunities for the study of this phenomena; Scotland is a region increasingly reliant on the economic contributions of skilled technical workers and the ICT sector, while the ICT sector has long been an area of gender divisions and a focus for equalities work in Westernized countries. The empirical research undertaken in this study adopts a multiple case study approach, wherein three ICT firms are investigated. Qualitative data collection was undertaken, including semi-structured interviews along with documentation analysis. Through the application of multiple methods, differing perspectives were collected to inform the description of the ideal worker narrative, covering the firm, and male and female workers. The study included 46 interviews in total - 23 with male employees and 23 with female employees - as well as 188 artefacts from across all three case study firms, evidencing firm policy, employer branding and external assessments. Thematic analysis was used to describe the ways in which gendered substructures persist within each organisation and findings across firms were synthesised to identify wider industry trends. Key findings from this study illustrate that, whilst progress has been made in the efforts of Scottish ICT firms to attract, support and retain female workers, there remains a significant difference in the experiences, aspirations, pay and self-efficacy of men and women in the sector. Moreover, these gendered differences favour male workers and continue to marginalise female workers. These disparities, in the context of firms considered to be at the forefront of gender equality in the sector, indicate that there is a disconnect between equality, diversity and inclusion (EDI) policies and their implementation. The findings additionally indicate that workers are more likely to consider a firm culture as inclusive if there is clear evidence that efforts are being taken and supported at the leadership level, and if there is transparency regarding the progress of these efforts. As such, it was concluded that firms should encourage the use of EDI initiatives at the leadership level, provide data regarding the firm's progress towards EDI goals and seek regular feedback from workers to better capture the efficacy of EDI efforts. This study also contributes to the shift in academic discourses of gender and the decoupling of personality, characteristics and skillsets from biological sex through the application of an updated theoretical framework. Specifically, firm-level influences on the preferred traits and demographics of workers are explored, along with the impact on traditionally marginalised workers. Adding to contemporary academic discourses on gender diversity within the ICT sector, this study builds upon an evaluation of equality work undertaken by case study firms to inform organisations of the current experiences of male and female workers in the field, and the most effective ways to support and retain historically marginalised workers

    Reparations and the politics of waiting in Kenya.

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    This article examines transitional justice in Kenya, drawing on interviews and focus groups with survivors of the post-election violence of 2007–2008. Focusing particularly on the experiences of women and internally displaced persons (IDPs), it explores how survivors understood and negotiated waiting for reparations and analyses the effects of temporal uncertainty (around timing and scope) and of inequality (in relation to waiting times). Uncertainty and inequality contributed to survivors’ senses of passivity and exacerbated their feelings of marginalisation. To delay reparations for an uncertain time contributes to senses of continuity with the past, which transitional justice precisely seeks to disrupt. However, the study also demonstrates that waiting is not only endured, but at times actively resisted or rejected, which might be understood as a claim to ownership of local peace and exercise of peacebuilding agency but also as resistance against the dominant temporality of transitional justice. By framing survivors’ experiences with the scholarship on time and power and the “politics of waiting”, the research contributes to the literature on local experiences and understandings of transitional justice and to recent debates around its temporalities

    A simple encoder scheme for distributed residual video coding.

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    Rate-Distortion (RD) performance of Distributed Video Coding (DVC) is considerably less than that of conventional predictive video coding. In order to reduce the performance gap, many methods and techniques have been proposed to improve the coding efficiency of DVC with increased system complexity, especially techniques employed at the encoder such as encoder mode decisions, optimal quantization, hash methods etc., no doubt increase the complexity of the encoder. However, low complexity encoder is a widely desired feature of DVC. In order to improve the coding efficiency while maintaining low complexity encoder, this paper focuses on Distributed Residual Video Coding (DRVC) architecture and proposes a simple encoder scheme. The main contributions of this paper are as follows: 1) propose a bit plane block based method combined with bit plane re-arrangement to improve the dependency between source and Side Information (SI), and meanwhile, to reduce the amount of data to be channel encoded 2) present a simple iterative dead-zone quantizer with 3 levels in order to adjust quantization from coarse to fine. The simulation results show that the proposed scheme outperforms DISCOVER scheme for low to medium motion video sequences in terms of RD performance, and maintains a low complexity encoder at the same time
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