6,485 research outputs found
Prevention of cyberattacks in WSN and packet drop by CI framework and information processing protocol using AI and Big Data
As the reliance on wireless sensor networks (WSNs) rises in numerous sectors,
cyberattack prevention and data transmission integrity become essential
problems. This study provides a complete framework to handle these difficulties
by integrating a cognitive intelligence (CI) framework, an information
processing protocol, and sophisticated artificial intelligence (AI) and big
data analytics approaches. The CI architecture is intended to improve WSN
security by dynamically reacting to an evolving threat scenario. It employs
artificial intelligence algorithms to continuously monitor and analyze network
behavior, identifying and mitigating any intrusions in real time. Anomaly
detection algorithms are also included in the framework to identify packet drop
instances caused by attacks or network congestion. To support the CI
architecture, an information processing protocol focusing on efficient and
secure data transfer within the WSN is introduced. To protect data integrity
and prevent unwanted access, this protocol includes encryption and
authentication techniques. Furthermore, it enhances the routing process with
the use of AI and big data approaches, providing reliable and timely packet
delivery. Extensive simulations and tests are carried out to assess the
efficiency of the suggested framework. The findings show that it is capable of
detecting and preventing several forms of assaults, including as
denial-of-service (DoS) attacks, node compromise, and data tampering.
Furthermore, the framework is highly resilient to packet drop occurrences,
which improves the WSN's overall reliability and performanc
Recommended from our members
Production networks in the cultural and creative sector: case studies from the publishing industry
The CICERONE project investigates cultural and creative industries through case study research, with a focus on production networks. This report, part of WP2, examines the publishing industry within this framework. It aims to understand the industry’s hidden aspects, address statistical issues in measurement, and explore the industry’s transformation and integration of cultural and economic values. The report provides an overview of the production network, explores statistical challenges, and presents qualitative analyses of two case studies. It concludes by highlighting the potential of the Global Production Network (GPN) approach for analyzing, researching, policymaking, and intervening in the European publishing network.
The CICERONE project’s case study research delves into the publishing industry, investigating its production networks and examining key aspects often unseen by the public. The report addresses statistical challenges in measuring the industry and sheds light on its ongoing transformations and integration of cultural and economic values. It presents an overview of the production network, explores statistical issues, and provides qualitative analyses of two case studies. The report emphasizes the potential of the GPN approach for analyzing and intervening in the European publishing network, ultimately contributing to research, policymaking, and understanding within the industry
An exploration of adherence and persistence in overactive bladder and other long-term conditions
Background and aims
Overactive bladder is a common, bothersome, and chronic condition associated with
symptoms of urinary urgency, incontinence, increased daytime micturition frequency and
nocturia. Despite exerting a significant burden on quality of life, adherence, and persistence
behaviours with OAB are particularly poor in comparison with other long-term conditions.
The aims of the present work were to explore themes relating to medicine-taking
behaviours in OAB and other long-term conditions and to suggest ways to improve them.
Methods
A systematic literature review was undertaken to understand the current landscape of
qualitative work exploring adherence and persistence with OAB patients. A qualitative study
involving 1:1 semi-structured interviews was conducted with OAB patients to explore the
context and drivers for adherence and persistence behaviours using thematic analysis. A
comparative analysis was then undertaken with qualitative papers exploring medicinetaking behaviours in a chronic bowel condition, type II diabetes, and multimorbidity to
explore the themes identified in the OAB study for convergence and divergence in other
conditions and to contextualise the learnings from the former study.
Results
The systematic literature review revealed a gap in the literature of qualitative exploration of
adherence and persistence behaviours in OAB patients. The OAB study found a range of
drivers for non-adherent behaviours including a perceived lack of treatment efficacy, side
effects, unclear instructions, and drug and condition hierarchies, as well as the rich context
within which these themes sit. The comparative analysis study supported the findings of the
OAB study demonstrating evidence of key themes transcending across conditions, including a perceived lack of treatment efficacy and side effects, as well as nuances associated with
the OAB experience.
Conclusions
The present work has identified key drivers for non-adherent behaviours in OAB patients
and sets out a number of recommendations categorised within the World Health
Organisation’s 5 dimensions of adherence. These include addressing the poor understanding
and illness perception of OAB by patients and others, by improving the provision and
availability of information, as well as the work of patient support groups; scrutiny on the
support within primary care to OAB patients before and after diagnosis; and the
encouragement of realistic expectations of the condition and treatment with mindful use of
prescriber’s language at the point of prescribing. The present work has further highlighted
the utility of conceptual models of adherence such as COM-B and the NCF in understanding
medicine-taking behaviours in the context of OAB
Towards a framework for the study of ongoing socio-technical transitions: explored through the UK self-driving car paradigm
The UK government set out to see self-driving cars on roads by 2021. The idea of a self-driving car has been around for almost a century, and more recent technological developments have made self-driving cars a real-life possibility. While a fully self-driving automobility system is some distance away, real-life testing is bringing autonomous driving closer to consumers. Some claim this to be the biggest disruption to mobility systems since the invention of the car. Claims about the potential of self-driving mobility range from economic and social benefits to environmental improvements. A significant ambiguity however remains concerning how they will be deployed and how the technological innovation will affect mobility aims and related transport and infrastructure systems. So far, the vast majority of studies on AVs have focused on the technology aspect of this transition lacking contributions that address this from a broader socio-technical perspective.
With the accelerated adoption of new technologies, Sustainability Transitions has come to prominence as a research area that seeks to understand and guide socio-technical transitions toward sustainable trajectories. Socio-technical transitions theoretical framework has been used to understand historical transitions in the majority of empirical applications. The ability to apply the same framework to ongoing transitions and to guide these towards sustainable outcomes remains unsubstantiated. To address this gap this thesis examines the foundations of multi-level perspective (MLP) – a socio-technical transitions analytical framework – and develops an analytical framework (SRPM – System Rules Pathways Mechanisms) that is appropriate for the study of ongoing transitions. The refocused framework incorporates critical realism to focus analysis on causation and causal mechanisms. It is used to analyse the ongoing socio-technical transition to self-driving cars in the UK through a four-step analytical process. The study is framed as a case-based process mechanism study. The four steps are: i) contextualisation of the ongoing transition to AVs in the UK as a socio-technical transition based on the MLP theoretical framework; ii) identification of internal and external structural relations within the transition through the notion of rules and the morphogenetic cycle; iii)
aligning observed processes with transition pathways to theorise about the trajectories of the transition; iv) identification of causal mechanisms in the observed processes through identification of demi-regularities through data analysis of grey literature and theorisation about mechanisms through the development of mechanism sketches and schemata.
The thesis makes two contributions to knowledge: i) methodological and ii) empirical. The methodological contribution is the development of the SRPM analytical framework to study an ongoing socio-technical transition, and the empirical contribution is the application of this framework to the study of the ongoing transition to driverless cars in the UK
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
Traffic prediction plays a crucial role in alleviating traffic congestion
which represents a critical problem globally, resulting in negative
consequences such as lost hours of additional travel time and increased fuel
consumption. Integrating emerging technologies into transportation systems
provides opportunities for improving traffic prediction significantly and
brings about new research problems. In order to lay the foundation for
understanding the open research challenges in traffic prediction, this survey
aims to provide a comprehensive overview of traffic prediction methodologies.
Specifically, we focus on the recent advances and emerging research
opportunities in Artificial Intelligence (AI)-based traffic prediction methods,
due to their recent success and potential in traffic prediction, with an
emphasis on multivariate traffic time series modeling. We first provide a list
and explanation of the various data types and resources used in the literature.
Next, the essential data preprocessing methods within the traffic prediction
context are categorized, and the prediction methods and applications are
subsequently summarized. Lastly, we present primary research challenges in
traffic prediction and discuss some directions for future research.Comment: Published in Transportation Research Part C: Emerging Technologies
(TR_C), Volume 145, 202
Navigating the uncharted: a crisis response mix to creeping ‘unknowns’
Creeping crises have received limited attention in crisis management. With a backdrop of COVID-19, we explore how tourism organisations can address unprecedented creeping crises. We propose and test a creeping crisis response matrix qualitatively and quantitatively by analysing 108 earnings calls from 22 hotel groups covering the first 16 months of the pandemic. Some cannot detect creeping crises during the incubation periods or the later re-emergence, whereas early exposure gives an advantage in crisis response. Contrary to conventional wisdom, organisational responses to unknown crises are not always reactive, with organisations deploying a varied mix of responses (reactive, adaptive, protective and proactive) even in the early stages of a crisis. As the framing of the crisis improves, crisis responses shift from survival to full-on experimentation, to response by design and then to response by protocol. The proposed matrix can be used as a response roadmap for navigating future, unknown, creeping crises
Platform://Democracy: Perspectives on Platform Power, Public Values and the Potential of Social Media Councils
Social media platforms have created private communication orders which they rule through terms of service and algorithmic moderation practices. As their impact on public communication and human rights has grown, different models to increase the role of public interests and values in the design of their rules and their practices has, too. But who should speak for both the users and the public at large? Bodies of experts and/or selected user representatives, usually called Platform Councils of Social Media Councils (SMCs) have gained attention as a potential solution. Examples of Social Media Councils include Meta’s Oversight Board but most platforms companies have so far shied away from installing one. This survey of approaches to increasing the quality of platform decision-making and content governance involving more than 35 researchers from four continents brough to together in regional "research clinics" makes clear that trade-offs have to be carefully balanced. The larger the council, the less effective is its decision-making, even if its legitimacy might be increased. While there is no one-size-fits-all approach, the projects demonstrates that procedures matter, that multistakeholderism is a key concept for effective Social Media Councils, and that incorporating technical expertise and promoting inclusivity are important considerations in their design. As the Digital Services Act becomes effective in 2024, a Social Media Council for Germany’s Digital Services Coordinator (overseeing platforms) can serve as test case and should be closely monitored. Beyond national councils, there is strong case for a commission focused on ensuring human rights online can be modeled after the Venice Commission and can provide expertise and guidelines on policy questions related to platform governance, particularly those that affect public interests like special treatment for public figures, for mass media and algorithmic diversity. The commission can be staffed by a diverse set of experts from selected organizations and institutions established in the platform governance field
Recommended from our members
Ensuring Access to Safe and Nutritious Food for All Through the Transformation of Food Systems
Victims' Access to Justice in Trinidad and Tobago: An exploratory study of experiences and challenges of accessing criminal justice in a post-colonial society
This thesis investigates victims' access to justice in Trinidad and Tobago, using their own narratives. It seeks to capture how their experiences affected their identities as victims and citizens, alongside their perceptions of legitimacy regarding the criminal justice system. While there have been some reforms in the administration of criminal justice in Trinidad and Tobago, such reforms have not focused on victims' accessibility to the justice system. Using grounded theory methodology, qualitative data was collected through 31 in-depth interviews with victims and victim advocates. The analysis found that victims experienced interpersonal, structural, and systemic barriers at varying levels throughout the criminal justice system, which manifested as institutionalized secondary victimization, silencing and inequality. This thesis argues that such experiences not only served to appropriate conflict but demonstrates that access is often given in a very narrow sense. Furthermore, it shows a failure to encompass access to justice as appropriated conflicts are left to stagnate in the system as there is often very little resolution. Adopting a postcolonial lens to analyse victims' experiences, the analysis identified othering practices that served to institutionalize the vulnerability and powerlessness associated with victim identities. Here, it is argued that these othering practices also affected the rights consciousness of victims, delegitimating their identities as citizens. Moreover, as a result of their experiences, victims had mixed perceptions of the justice system. It is argued that while the system is a legitimate authority victims' endorsement of the system is questionable, therefore victims' experiences suggest that there is a reinforcement of the system's legal hegemony. The findings suggest that within the legal system of Trinidad and Tobago, legacies of colonialism shape the postcolonial present as the psychology and inequalities of the past are present in the interactions and processes of justice. These findings are relevant for policymakers in Trinidad and Tobago and other regions. From this study it is recognized that, to improve access to justice for victims, there needs to be a move towards victim empowerment that promotes resilience and enhances social capital. Going forward it is noted that there is a need for further research
- …