421 research outputs found
University of Windsor Graduate Calendar 2023 Spring
https://scholar.uwindsor.ca/universitywindsorgraduatecalendars/1027/thumbnail.jp
University of Windsor Graduate Calendar 2023 Winter
https://scholar.uwindsor.ca/universitywindsorgraduatecalendars/1026/thumbnail.jp
General Course Catalog [2022/23 academic year]
General Course Catalog, 2022/23 academic yearhttps://repository.stcloudstate.edu/undergencat/1134/thumbnail.jp
Bridging the Global Divide in AI Regulation: A Proposal for a Contextual, Coherent, and Commensurable Framework
This paper examines the current landscape of AI regulations, highlighting the
divergent approaches being taken, and proposes an alternative contextual,
coherent, and commensurable (3C) framework. The EU, Canada, South Korea, and
Brazil follow a horizontal or lateral approach that postulates the homogeneity
of AI systems, seeks to identify common causes of harm, and demands uniform
human interventions. In contrast, the U.K., Israel, Switzerland, Japan, and
China have pursued a context-specific or modular approach, tailoring
regulations to the specific use cases of AI systems. The U.S. is reevaluating
its strategy, with growing support for controlling existential risks associated
with AI. Addressing such fragmentation of AI regulations is crucial to ensure
the interoperability of AI. The present degree of proportionality, granularity,
and foreseeability of the EU AI Act is not sufficient to garner consensus. The
context-specific approach holds greater promises but requires further
development in terms of details, coherency, and commensurability. To strike a
balance, this paper proposes a hybrid 3C framework. To ensure contextuality,
the framework categorizes AI into distinct types based on their usage and
interaction with humans: autonomous, allocative, punitive, cognitive, and
generative AI. To ensure coherency, each category is assigned specific
regulatory objectives: safety for autonomous AI; fairness and explainability
for allocative AI; accuracy and explainability for punitive AI; accuracy,
robustness, and privacy for cognitive AI; and the mitigation of infringement
and misuse for generative AI. To ensure commensurability, the framework
promotes the adoption of international industry standards that convert
principles into quantifiable metrics. In doing so, the framework is expected to
foster international collaboration and standardization without imposing
excessive compliance costs
Service Level Agreements for Communication Networks: A Survey
Information and Communication Technology (ICT) is being provided to the
variety of end-users demands, thereby providing a better and improved
management of services is crucial. Therefore, Service Level Agreements (SLAs)
are essential and play a key role to manage the provided services among the
network entities. This survey identifies the state of the art covering
concepts, approaches and open problems of the SLAs establishment, deployment
and management. This paper is organised in a way that the reader can access a
variety of proposed SLA methods and models addressed and provides an overview
of the SLA actors and elements. It also describes SLAs' characteristics and
objectives. SLAs' existing methodologies are explained and categorised followed
by the Service Quality Categories (SQD) and Quality-Based Service Descriptions
(QSD). SLA modelling and architectures are discussed, and open research
problems and future research directions are introduced. The establishment of a
reliable, safe and QoE-aware computer networking needs a group of services that
goes beyond pure networking services. Therefore, within the paper this broader
set of services are taken into consideration and for each Service Level
Objective (SLO) the related services domains will be indicated. The purpose of
this survey is to identify existing research gaps in utilising SLA elements to
develop a generic methodology, considering all quality parameters beyond the
Quality of Service (QoS) and what must or can be taken into account to define,
establish and deploy an SLA. This study is still an active research on how to
specify and develop an SLA to achieve the win-win agreements among all actors.Comment: 25 Pages, 4 Figure
2021-2022, University of Memphis bulletin
University of Memphis bulletin containing the graduate catalog for 2021-2022.https://digitalcommons.memphis.edu/speccoll-ua-pub-bulletins/1441/thumbnail.jp
2013-2014, University of Memphis bulletin
University of Memphis bulletin containing the graduate catalog for 2013-2014.https://digitalcommons.memphis.edu/speccoll-ua-pub-bulletins/1434/thumbnail.jp
State of the Art of Audio- and Video-Based Solutions for AAL
It is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may cause to one’s activities. In addition, a single camera placed in a room can record most of the activities performed in the room, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring the activities, the movements, and the overall conditions of the assisted individuals as well as to assess their vital parameters. Similarly, audio sensors have the potential to become one of the most important modalities for interaction with AAL systems, as they can have a large range of sensing, do not require physical presence at a particular location and are physically intangible. Moreover, relevant information about individuals’ activities and health status can derive from processing audio signals. Nevertheless, as the other side of the coin, cameras and microphones are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information these technologies convey and the intimate setting where they may be deployed. Solutions able to ensure privacy preservation by context and by design, as well as to ensure high legal and ethical standards are in high demand. After the review of the current state of play and the discussion in GoodBrother, we may claim that the first solutions in this direction are starting to appear in the literature. A multidisciplinary debate among experts and stakeholders is paving the way towards AAL ensuring ergonomics, usability, acceptance and privacy preservation. The DIANA, PAAL, and VisuAAL projects are examples of this fresh approach. This report provides the reader with a review of the most recent advances in audio- and video-based monitoring technologies for AAL. It has been drafted as a collective effort of WG3 to supply an introduction to AAL, its evolution over time and its main functional and technological underpinnings. In this respect, the report contributes to the field with the outline of a new generation of ethical-aware AAL technologies and a proposal for a novel comprehensive taxonomy of AAL systems and applications. Moreover, the report allows non-technical readers to gather an overview of the main components of an AAL system and how these function and interact with the end-users. The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely lifelogging and self-monitoring, remote monitoring of vital signs, emotional state recognition, food intake monitoring, activity and behaviour recognition, activity and personal assistance, gesture recognition, fall detection and prevention, mobility assessment and frailty recognition, and cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted. The report ends with an overview of the challenges, the hindrances and the opportunities posed by the uptake in real world settings of AAL technologies. In this respect, the report illustrates the current procedural and technological approaches to cope with acceptability, usability and trust in the AAL technology, by surveying strategies and approaches to co-design, to privacy preservation in video and audio data, to transparency and explainability in data processing, and to data transmission and communication. User acceptance and ethical considerations are also debated. Finally, the potentials coming from the silver economy are overviewed
Distributed Ledger Technologies for Network Slicing: A Survey
Network slicing is one of the fundamental tenets of Fifth Generation (5G)/Sixth Generation (6G) networks. Deploying slices requires end-to-end (E2E) control of services and the underlying resources in a network substrate featuring an increasing number of stakeholders. Beyond the technical difficulties this entails, there is a long list of administrative negotiations among parties that do not necessarily trust each other, which often requires costly manual processes, including the legal construction of neutral entities. In this context, Blockchain comes to the rescue by bringing its decentralized yet immutable and auditable lemdger, which has a high potential in the telco arena. In this sense, it may help to automate some of the above costly processes. There have been some proposals in this direction that are applied to various problems among different stakeholders. This paper aims at structuring this field of knowledge by, first, providing introductions to network slicing and blockchain technologies. Then, state-of-the-art is presented through a global architecture that aggregates the various proposals into a coherent whole while showing the motivation behind applying Blockchain and smart contracts to network slicing. And finally, some limitations of current work, future challenges and research directions are also presented.This work was supported in part by the Spanish Formación Personal Investigador (FPI) under Grant PRE2018-086061, in part by the TRUE5G under Grant PID2019-108713RB-C52/AEI/10.13039/501100011033, and in part by the European Union (EU) H2020 The 5G Infrastructure Public Private Partnership (5GPPP) 5Growth Project 856709.Publicad
2009-2010, University of Memphis bulletin
University of Memphis bulletin containing the graduate catalog for 2009-2010.https://digitalcommons.memphis.edu/speccoll-ua-pub-bulletins/1429/thumbnail.jp
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