Wireless Mesh Networks Based on MBPSO Algorithm to Improvement Throughput

Wireless Mesh Networks can be regarded as a type of communication technology in mesh topology in which wireless nodes interconnect with one another. Wireless Mesh Networks depending on the semi-static configuration in different paths among nodes such as PDR, E2E delay and throughput. This study summarized different types of previous heuristic algorithms in order to adapt with proper algorithm that could solve the issue. Therefore, the main objective of this study is to determine the proper methods, approaches or algorithms that should be adapted to improve the throughput. A Modified Binary Particle Swarm Optimization (MBPSO) approach was adapted to improvements the throughput. Finally, the finding shows that throughput increased by 5.79% from the previous study

Developing and evaluating MindMax: promoting mental wellbeing through an Australian Football League-themed app incorporating applied games (including gamification), psychoeducation, and social connectedness

Gamification is increasingly being used as a behavioural change strategy to increase engagement with apps and technologies for mental health and wellbeing. While there is promising evidence supporting the effectiveness of individual gamification elements, there remains little evidence for its overall effectiveness. Furthermore, a lack of consistency in how ‘gamification’ and related terms (such as ‘applied games’, an umbrella term of which gamification is one type) are used has been observed within and across multiple academic fields. This contributes to the difficulty of studying gamification and decreases its accessibility to people unfamiliar with applied games. Finally, gamification has also been critiqued by both game developers and by academics for its reliance on extrinsic motivators and for the messages that gamified systems may unintentionally convey. In this context, the aims of this thesis were fourfold: 1) to iteratively co-design and develop a gamified app for mental health and wellbeing, 2) to evaluate the eventuating app, 3) to consolidate literature on gamification for mental health and wellbeing, and 4) to synthesise findings into practical guidelines for implementing gamification for mental health and wellbeing. Chapter 2 reports the first study which addresses the first aim of this thesis. Six participatory design workshops were conducted to support the development of MindMax, an Australian Football League (AFL)-themed mobile phone app aimed at AFL fans (particularly male ones) that incorporates applied games, psychoeducation, and social connectedness. Findings from these workshops were independently knowledge translated and fed back to the software development team, resulting in a MindMax prototype. This prototype was further tested with 15 one-on-one user experience testing interviews at three separate time points to iteratively refine MindMax’s design and delivery of its content. The findings of this study suggest that broadly, participants endorsed a customisable user experience with activities requiring active user participation. These specifications were reflected in the continual software updates made to MindMax. Chapters 3 and 4 report the second and third studies which address the second aim of this thesis. As regular content, performance, and aesthetic updates were applied to MindMax (following the model of the wider tech industry), a naturalistic longitudinal trial, described in Chapter 3, was deemed to be the most appropriate systematic evaluation method. In this study, participants (n=313) were given access to MindMax and asked to use it at their leisure, and surveys were sent out at multiple time points to assess their wellbeing, resilience, and help-seeking intentions. Increases in flourishing (60-day only), sense of connection to MindMax, and impersonal help-seeking intentions were observed over 30 and 60 days, suggesting that Internet-based interventions like MindMax can contribute to their users’ social connectedness and encourage their help-seeking. The third study, described in Chapter 4, reports a secondary analysis of data collected for Chapter 3, and further explores participants’ help-seeking intentions and their links to wellbeing, resilience, gender, and age. An explanatory factor analysis was conducted on Day 1 General Help-Seeking Questionnaire (GHSQ) data (n=530), with the best fitting solution resulting in three factors: personal sources, health professionals, and distal sources. In addition to providing more evidence that younger people aged 16–35 categorise apps and technologies for mental health and wellbeing like MindMax alongside other distal social sources such as phone helplines and work or school, our findings also suggest that the best way to target individuals who are least likely to seek help, particularly men, may be through these distal sources as well. Chapter 5 reports the fourth study, which addresses the third aim. In order to consolidate literature on gamification for mental health and wellbeing, this systematic review identified 70 papers that collectively reported on 50 apps and technologies for improving mental health and wellbeing. These papers were coded for gamification element, mental health and wellbeing domain, and researchers’ justification for applying gamification to improving mental health and wellbeing. This study resulted in two major findings: first, that the current application of gamification for mental health and wellbeing does not resemble the heavily critiqued mainstream application that relies on extrinsic motivators; and second, that many authors of the reviewed papers provided little or no justification for why they applied gamification to their mental health and wellbeing interventions. While the former finding is encouraging, the latter suggests that the gamification of mental health and wellbeing is not theory-driven, and is a cause for concern. Finally, to address the final aim of this thesis, all study learnings were synthesised into practical guidelines for implementing gamification for mental health and wellbeing. First, it is important to assess the suitability of implementing gamification into the intervention. Second, this implementation should ideally be integrated at a deeper, systemic level, with the explicitly qualified intention to support users, evidence-based processes, and user engagement with these processes. Third, it is important to assess the acceptability of this gamified intervention throughout its development, involving all relevant stakeholders (particularly representative end user populations). Fourth, it is important to evaluate the impact of this gamified intervention. Fifth, and finally, comprehensive and detailed documentation of this process should be provided at all stages of this process. This thesis contributes to a growing literature on the increasing importance and relevance of Internet-based resources and apps and technologies for mental health and wellbeing, particularly for young people. Given the dominance of games in society and culture across history, and the increasing contemporary prominence of digital games (also known as video games) in particular, gamification is uniquely positioned to have the potential to make large contributions to mental health and wellbeing research. In this context, this thesis contributes a systematically derived operationalisation of gamification, an evaluation of a gamified app for mental health and wellbeing, and best practice guidelines for implementing gamification for mental health and wellbeing, thereby providing frameworks that future implementations of gamified mental health and wellbeing interventions and initiatives may find useful

Intergenerational interpretation of the Internet of Things

This report investigates how different generations within a household interpret individual members’ data generated by the Internet of Things (IoT). Adopting a mixed methods approach, we are interested in interpretations of the IoT by teenagers, their parents and grandparents, and how they understand and interact with the kinds of data that might be generated by IoT devices. The first part of this document is a technical review that outlines the key existing and envisaged technologies that make up the IoT. It explores the definition and scope of the Internet of Things. Hardware, networking, intelligent objects and Human-Computer Interaction implications are all discussed in detail. The second section focuses on the human perspective, looking at psychological and sociological issues relating to the interpretation of information generated by the IoT. Areas such as privacy, data ambiguity, ageism, and confirmation bias are explored. The third section brings both aspects together, examining how technical and social aspects of the IoT interact in four specific application domains: energy monitoring, groceries and shopping, physical gaming, and sharing experiences. This section also presents three household scenarios developed to communicate and explore the complexities of integrating IoT technologies into family life. The final section draws together all the findings and suggests future research

Cognitive Decay And Memory Recall During Long Duration Spaceflight

This dissertation aims to advance the efficacy of Long-Duration Space Flight (LDSF) pre-flight and in-flight training programs, acknowledging existing knowledge gaps in NASA\u27s methodologies. The research\u27s objective is to optimize the cognitive workload of LDSF crew members, enhance their neurocognitive functionality, and provide more meaningful work experiences, particularly for Mars missions.The study addresses identified shortcomings in current training and learning strategies and simulation-based training systems, focusing on areas requiring quantitative measures for astronaut proficiency and training effectiveness assessment. The project centers on understanding cognitive decay and memory loss under LDSF-related stressors, seeking to establish when such cognitive decline exceeds acceptable performance levels throughout mission phases. The research acknowledges the limitations of creating a near-orbit environment due to resource constraints and the need to develop engaging tasks for test subjects. Nevertheless, it underscores the potential impact on future space mission training and other high-risk professions. The study further explores astronaut training complexities, the challenges encountered in LDSF missions, and the cognitive processes involved in such demanding environments. The research employs various cognitive and memory testing events, integrating neuroimaging techniques to understand cognition\u27s neural mechanisms and memory. It also explores Rasmussen\u27s S-R-K behaviors and Brain Network Theory’s (BNT) potential for measuring forgetting, cognition, and predicting training needs. The multidisciplinary approach of the study reinforces the importance of integrating insights from cognitive psychology, behavior analysis, and brain connectivity research. Research experiments were conducted at the University of North Dakota\u27s Integrated Lunar Mars Analog Habitat (ILMAH), gathering data from selected subjects via cognitive neuroscience tools and Electroencephalography (EEG) recordings to evaluate neurocognitive performance. The data analysis aimed to assess brain network activations during mentally demanding activities and compare EEG power spectra across various frequencies, latencies, and scalp locations. Despite facing certain challenges, including inadequacies of the current adapter boards leading to analysis failure, the study provides crucial lessons for future research endeavors. It highlights the need for swift adaptation, continual process refinement, and innovative solutions, like the redesign of adapter boards for high radio frequency noise environments, for the collection of high-quality EEG data. In conclusion, while the research did not reveal statistically significant differences between the experimental and control groups, it furnished valuable insights and underscored the need to optimize astronaut performance, well-being, and mission success. The study contributes to the ongoing evolution of training methodologies, with implications for future space exploration endeavors