17628 research outputs found
Sort by
Axis Studios: Education outreach booklet 2024
No full textDeveloped by AXIS STUDIO, serves as a comprehensive guide for educational outreach, designed to inspire and engage students of all ages in the world of animation and visual effects. AXIS STUDIO, a leader in creative production, leverages its industry expertise to provide a unique learning experience that bridges the gap between academic theory and practical application. Through detailed case studies, interactive tutorials, and insights from industry professionals, this booklet aims to foster creativity, technical skills, and a deeper understanding of the animation and VFX industry. Whether used in classrooms, workshops, or independent study, this resource equips educators and learners with the tools and knowledge needed to thrive in a rapidly evolving digital landscape
Game-theoretic optimization strategy for maximizing profits to both end-users and suppliers in building rooftop PV-based microgrids
Get PDFRooftop photovoltaic (PV) with battery storage offers a promising avenue for enhancing renewable energy integration in buildings. Creating microgrids with backup power from closely spaced solar buildings is widely recognized as an effective strategy. Nevertheless, a notable gap exists between the preferences and priorities of electricity consumers residing in these solar-powered buildings and the interests of microgrid investors. The electricity consumers focus on decreasing the levelized cost of energy, while the microgrid investors focuses on achieving high net profit. This study proposes a novel game theory-based microgrid optimal design approach for designing power generations of the microgrid system and PV installation with battery storage on the building roofs, considering the different requirements and interests of electricity consumers and microgrid investors. The design optimization is framed around the Nash Equilibrium of the Stackelberg game, incorporating a bi-level optimization cycle that addresses the conflict and cooperation of electricity consumers and microgrid investors. A win-win situation can be yielded using the developed optimal design approach compared to conventional optimal design approaches. The results demonstrate a significant improvement, with the microgrid power generation yielding a large net profit (up to 0.08 USD/kWh) and concurrently reducing the levelized cost of energy by approximately 14 %
Sensor Fault Detection and Classification Using Multi-Step-Ahead Prediction with an Long Short-Term Memoery (LSTM) Autoencoder
Get PDFThe Internet of Things (IoT) is witnessing a surge in sensor-equipped devices. The data generated by these IoT devices serve as a critical foundation for informed decision-making, real-time insights, and innovative solutions across various applications in everyday life. However, data reliability is often compromised due to the vulnerability of sensors to faults arising from harsh operational conditions that can adversely affect the subsequent operations that depend on the collected data. Hence, the identification of anomalies within sensor-derived data holds significant importance in the IoT context. This article proposes a sensor fault detection method using a Long Short-Term Memory autoencoder (LSTM-AE). The AE, trained on normal sensor data, predicts a 20-step window, generating three statistical features via SHapley Additive exPlanations from the estimated steps. These features aid in determining potential faults in the predicted steps using a machine learning classifier. A secondary classifier identifies the type of fault in the sensor signal. Experimentation on two sensor datasets showcases the method’s functionality, achieving fault detection accuracies of approximately 93% and 97%. It is possible to attain a perfect fault classification performance by slightly modifying the feature calculation approach. In a univariate prediction scenario, our proposed approach demonstrates good fault detection and classification performance
Introducing hospitable destinations
No full textThis editorial introduces the concept of hospitable destinations and sets the context for the Special Issue articles. It begins by exploring the complex nature of destinations more generally and highlighting their links with place. The discussion then moves to critically examining intersections of hospitality and destinations, considering various drivers for mobilizing hospitableness in strategic placemaking and the impacts of emergent hospitality-related practices on disparate destination stakeholders. The next section introduces the articles in the Special Issue, which examine in diverse empirical contexts how hospitality is experienced, co-created, operationalized and strategically deployed to produce, and occasionally challenge , notions of hospitable destinations. The editorial concludes by reflecting on the implications of the Special Issue articles for future research and practice that adopts hospitality perspectives to plan, manage and examine destinations
Active Cellulose-Based Food Packaging and Its Use on Foodstuff
Get PDFThe essential role of active packaging is food quality improvement, which results in an extension of shelf life. Active packaging can also further enhance distribution from the origin point, and contributes to food waste reduction, offering greater sustainability. In this study, we introduced a new method for obtaining cellulose-based active packages, combining gamma irradiation as an eco-friendly activation process, and clove essential oil and cold-pressed rosehip seed oil as bioactive agents. Newly obtained bioactive materials were evaluated to assess their structural, hydrophobic, and morphological properties, thermal stability, and antioxidant and antimicrobial properties. The results showed that the plant oils induced their antimicrobial effects on paper, using both in vitro tests, against several bacterial strains (Gram-positive bacteria Listeria monocytogenes and Gram-negative bacteria Salmonella enteritidis and Escherichia coli), and in vivo tests, on fresh cheese curd and beef. Moreover, these oils can help control foodborne pathogens, which leads to extended shelf life
Decision Making and Security Risk Management for IoT Environments
No full textThis book contains contemporary research that outlines and addresses security, privacy challenges and decision-making in IoT environments. The authors provide a variety of subjects related to the following Keywords: IoT, security, AI, deep learning, federated learning, intrusion detection systems, and distributed computing paradigms. This book also offers a collection of the most up-to-date research, providing a complete overview of security and privacy-preserving in IoT environments. It introduces new approaches based on machine learning that tackles security challenges and provides the field with new research material that’s not covered in the primary literature. The Internet of Things (IoT) refers to a network of tiny devices linked to the Internet or other communication networks. IoT is gaining popularity, because it opens up new possibilities for developing many modern applications. This would include smart cities, smart agriculture, innovative healthcare services and more. The worldwide IoT market surpassed 1.6 trillion by 2025. However, as IoT devices grow more widespread, threats, privacy and security concerns are growing. The massive volume of data exchanged highlights significant challenges to preserving individual privacy and securing shared data. Therefore, securing the IoT environment becomes difficult for research and industry stakeholders
Coaches’ ability to support elite and adolescent soccer players throughout their menstrual cycle
Get PDFFemale soccer players report that the menstrual cycle (MC) can negatively impact sporting performance, with barriers identified in communicating their MC experiences to coaches and support staff. Whilst research is growing, there are few studies exploring the coaching staff perspective in soccer, and none from those at the youth level. The aim was to explore soccer coaches’ awareness, perceptions and experiences of the MC and the perceived impact on performance. Thirteen coaches (female n = 4; male n = 9, aged 33 ± 9 years) from Scottish elite adult and youth soccer participated in individual semi-structured interviews (average interview time 39 ± 11 min). Interviews were audio recorded and transcribed verbatim, with reflexive thematic analysis (RTA) performed. RTA generated three key themes from 232 meaning units: environment and culture, coach–athlete dynamic, and coach support and education. Coaches perceived a societal culture of the MC being hidden, or taboo, with similar barriers noted within the club environment. Coaches were often embarrassed to discuss the MC with players and believed players were embarrassed. Communication differed depending on the coach–athlete relationship, with trust and familiarity cited as improving comfort in communication. Coach awareness and understanding of the MC both generally and within a sporting context influenced their perceived ability to communicate and support players. Findings highlight the need to support coaches by providing MC education, and practical guidance on how to support players’ health and wellbeing. Improved confidence in communication should allow players to feel supported and normalise conversations about the MC
Digital Twins for 6G: Fundamental theory, technology and applications
No full textDigital twin (DT) technology is a real-time evolving digital duplicate of a physical object or process that contains all its history. It is enabled by massive real-time multi-source data collection and analysis. While 6G is considered as an enabler of digital twins, DT can also be a facilitator for integrating AI and 6G towards reliable, pervasive and efficient intelligent technologies.While the DT concept is familiar among aerospace and industrial engineers, it is a relatively new topic among electronic, electrical, computer, communications and networking engineers. For future massive-scale industrial internet-of-things (IoT) applications facilitated by DTs, a 6G network will be much more advantageous than its 5G counterpart.Digital Twins for 6G: Fundamental theory, technology and applications aims to bring together knowledge from industrial practitioners and researchers, and to introduce novel concepts that can help address the challenges associated with this interdisciplinary topic. The authors will cover fundamentals, enabling technologies, standards and advanced topics of DT and 6G to demystify the DT concept and its networking requirements and benefits, support a broader understanding of DT and its relationship with 6G to a larger audience, support learning and understanding for researchers and professionals working on 5G and 6G, and create a foundation on DT and 6G for the international research community.This book is intended to be both a tutorial of the important topics around digital twin and advanced wireless communications technologies, including 6G, as well as an advanced overview for technical professionals in the communications industry, technical managers, and researchers in both academia and industry
Editorial: Women's health in an interdisciplinary dimension – determinants of nutritional disorders
Get PDFAbstract unavailable
Environmental and food security implications of livestock abortions and calf mortality: a case study in Kenya and Tanzania
Get PDFThis study investigates the environmental and food security implications of livestock abortions and calf mortality in Tanzanian dairy systems and Kenyan beef systems by utilizing data from previously published studies. The environmental impact of livestock abortion is assessed in Tanzanian dairy systems, examining indigenous and exotic breeds of cattle and goats in Northern Tanzania. Calf mortality’s impact is evaluated in Kenyan beef systems, involving local cattle breeds in western Kenya. Greenhouse gas (GHG) emission intensity (EI) is estimated for both countries. The GHG emissions in Tanzania consider enteric fermentation, manure management, and feed production in different cattle and goat groups, as well as total milk production. In Kenya, enteric methane (CH4) EI related to calf mortality is assessed by estimating lifetime enteric CH4 emissions and total carcass production from dams and their offspring. The EI is compared between the observed scenario (16% calf mortality) and alternative scenarios (8, 4, and 0% calf mortality). A life cycle assessment using the Global Livestock Environmental Assessment Model-interactive (GLEAM-i) examines GHG sources and potential tradeoffs. Estimates are made for milk and carcass losses due to abortions and calf mortality, scaled to represent the entire country. Abortion increases milk EI by 4–18% in Tanzania, while Kenya’s EI ranges from 25.9 to 27.6 kg CO2 eq per kg carcass weight. Animal protein loss due to abortions is equivalent to the potential annual animal protein requirements of approximately 649 thousand people in Tanzania, while a 16% calf mortality rate in Kenya is equivalent to per capita consumption of 4.5 million people. The findings highlight the significant impact of abortions and calf mortality on GHG emissions and animal protein availability, emphasizing the potential for reduced emissions and improved food security through mitigation efforts. The contribution of emissions from enteric fermentation and manure management is significant across both countries, underscoring the importance of a systems perspective in evaluating the environmental impact of livestock production. This study provides insights into the environmental and food security implications of livestock abortions and calf mortality in Tanzania and Kenya, emphasizing the need for targeted interventions in sustainable livestock production
Data sources:
Access Repository Dashboard
Do you manage Repository@Napier? Access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard!