Search results for "Systems architecture"
showing 10 items of 227 documents
Computational Demography of Religion: A Proposal
2021
This paper proposes a new approach to the demography of religion and non-religion that builds on and expands agent-based modeling and social simulation techniques developed in prior work by the research teams led by the authors. Traditional demographic approaches to religion and non-religion understandably focus attention on self-reports of religious identity or affiliation, where longitudinal data is most readily available, and they employ a cohort-component methodology to make projections. We argue that demographic projections of religion and non-religion could be enhanced by using multi-agent artificial intelligence models of societies. After artificial societies with suitably cognitivel…
Mobility and Spatio-Temporal Exposure Control
2013
Modern risk assessment methods cover many issues and encompass both risk analysis and corresponding prevention/mitigation measures.However, there is still room for improvement and one aspect that may benefit from more work is “exposure control”.The “exposure” an asset experiences plays an important part in the risks facing the asset.Amongst the aspects that all too regularly get exposed is user identities and user location information,and in a context with mobile subscriber and mobility in the service hosting (VM migration/mobility) the problems associated with lost identity/location privacy becomes urgent.In this paper we look at “exposure control” as a way for analyzing and protecting use…
Priority-based initial access for URLLC traffic in massive IoT networks: Schemes and performance analysis
2020
Abstract At a density of one million devices per square kilometer, the10’s of billions of devices, objects, and machines that form a massive Internet of things (mIoT) require ubiquitous connectivity. Among a massive number of IoT devices, a portion of them require ultra-reliable low latency communication (URLLC) provided via fifth generation (5G) networks, bringing many new challenges due to the stringent service requirements. Albeit a surge of research efforts on URLLC and mIoT, access mechanisms which include both URLLC and massive machine type communications (mMTC) have not yet been investigated in-depth. In this paper, we propose three novel schemes to facilitate priority-based initial …
Optimal Buffer Resource Allocation in Wireless Caching Networks
2019
Wireless caching systems have been exhaustively investigated in recent years. Due to limited buffer capacity, and unbalanced arrival and service rates, the backlogs may exist in the caching node and even cause buffer overflow. In this paper, we first investigate the relationship among backlogs, buffer capacity, data arrival rate and service rate, utilizing the martingale theory which is flexible in handling any arrival and service processes. Then given a target buffer overflow probability, the minimal required buffer portion is determined. If the devoted buffer capacity can fulfill all serving users' minimal buffer requirements, an optimization problem is constructed with the objective to m…
Life-based design as an extension of problem-based learning — A tool for understanding people and technology
2015
Global conditions are changing at such a rate that foreseeing trends in technological development, economic fluctuations and climatic conditions is ever more difficult. When developing technologies, there is one constant factor that practitioners and researchers should be aware of, and that is people. This is not to say that people, culture and social conditions remain stagnant, for these too evolve with the surrounding circumstances. Rather, appropriate tools and capabilities for investigating people, their lives and life situations, are integral to understanding what people need in terms of technology, how these technologies will be used, and more importantly how they will be valued in th…
Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution
2021
Recent studies show that program synthesis with GE produces code that has different structure compared to human-generated code, e.g., loops and conditions are hardly used. In this article, we extract knowledge from human-generated code to guide evolutionary search. We use a large code-corpus that was mined from the open software repository service GitHub and measure software metrics and properties describing the code-base. We use this knowledge to guide the search by incorporating a new selection scheme. Our new selection scheme favors programs that are structurally similar to the programs in the GitHub code-base. We find noticeable evidence that software metrics can help in guiding evoluti…
Exploring web-mediated communication: A genre-based linguistic study for new patterns of doctor–patient interaction in online environment
2016
This paper questions the nature of the communicative event that takes place in online contexts between doctors and web-users, showing computer-mediated linguistic norms and discussing the nature of the participants’ roles. Based on an analysis of 1005 posts occurring between doctors and the users of health service websites, I analyse how doctor–patient communication is affected by the medium and how health professionals overcome issues concerning the virtual medical visit. Results suggest that (a) online medical answers offer a different service from that expected by users, as doctors cannot always fulfill patient requests, and (b) net consultations use aspects of traditional doctor–patient…
Design and optimisation of an innovative two-hub-and-spoke network for the Mediterranean short-sea-shipping market
2020
Abstract Short Sea Shipping (SSS) is generally considered as a privileged transport mode in terms of reducing road congestion and related external costs. In the last two decades, SSS has attracted a lot of attention in the European Union, where it is also regarded as a key factor for economic and social cohesion between countries. In this regard, the present study proposes a new network design that aims at improving and increasing freight traffic between the north-western and the south-eastern shores of the Mediterranean Basin. The proposed model, designed for Ro-Ro (Roll-on Roll-off) freight transport, tries to overcome the limits of the existing multi-port-calling services through an inno…
Predicting service request in support centers based on nonlinear dynamics, ARMA modeling and neural networks
2008
In this paper, we present the use of different mathematical models to forecast service requests in support centers (SCs). A successful prediction of service request can help in the efficient management of both human and technological resources that are used to solve these eventualities. A nonlinear analysis of the time series indicates the convenience of nonlinear modeling. Neural models based on the time delay neural network (TDNN) are benchmarked with classical models, such as auto-regressive moving average (ARMA) models. Models achieved high values for the correlation coefficient between the desired signal and that predicted by the models (values between 0.88 and 0.97 were obtained in th…
Sustainable service-learning in Physical Education teacher education: examining postural control to promote ASD children’s well-being
2021
As classrooms become more and more diverse, it is imperative to provide physical education teacher education (PETE) students with opportunities to develop competencies that promote quality education for all students. In this study, PETE students applied a physical education servicelearning (SL) program aimed at enhancing Autism Spectrum Disorder (ASD) children’s motor domain and general well-being—objectives that are connected to the third focus of the United Nations’ Sustainable Development Goals (SDGs). Traditionally, research on SL has focused on students’ outcomes, and there is a call to examine SL’s effects on service receivers, which is the gap this paper aspires to fill. The aim of t…