55 research outputs found
Networks for art work: an analysis of artistic creative engagements with new media standards
The principle objective of this study is to examine the culture of networks that are implicated
in the production of culture, specifically as it pertains to artists' design and use of digitally
networked information and communication technologies (ICTs) for the production of artworks.
The analysis in this study seeks to reveal a better understanding of the working practices
that underpin artists' creative engagements with new media while recognising the significance
of discursive continuities that inform such engagements.
Theoretically, a case is presented for combining several theoretical perspectives into a multilayered
conceptual framework for examining the circulation of power as it relates both to artistic
creativity and to technological innovation. The former is accomplished through a critical
assessment of the production of culture theoretical tradition. In calling upon concepts of discursive
conduct as a means of developing relations of power, the concept of maverickness is
proposed to understand how certain artists do not necessarily bring about change in an art
world but instead dedicate themselves to the production of artistic creativity through a contention
among various conventions. The latter is problematised drawing upon theories of mediation
to develop a model of the conversion and classification of new media standards into art
world conventions. A novel methodological approach is developed based on the development
of multiple biographical threads of an individual and of a technology within a single case study
of an art world network.
Empirically, the thesis contributes insights into the diverse end contingent collective work
practices involved in the design and use of ICTs by artists for the production of artworks. The
findings suggest that individual artists are able to develop designer roles consistent with their
situated understandings of creative conduct for modifying aspects of the ICT infrastructure
despite shifting technological and social new media standards. However, in order to coordinate
such roles within wider collective social structures, artists also initiate forms of mediation,
articulation, and classification work that extend beyond the production of artworks and
into attempts at programming art world networks within which such artworks were produced
and distributed
Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems
Smart buildings are increasingly using Internet of Things (IoT)-based
wireless sensing systems to reduce their energy consumption and environmental
impact. As a result of their compact size and ability to sense, measure, and
compute all electrical properties, Internet of Things devices have become
increasingly important in our society. A major contribution of this study is
the development of a comprehensive IoT-based framework for smart city energy
management, incorporating multiple components of IoT architecture and
framework. An IoT framework for intelligent energy management applications that
employ intelligent analysis is an essential system component that collects and
stores information. Additionally, it serves as a platform for the development
of applications by other companies. Furthermore, we have studied intelligent
energy management solutions based on intelligent mechanisms. The depletion of
energy resources and the increase in energy demand have led to an increase in
energy consumption and building maintenance. The data collected is used to
monitor, control, and enhance the efficiency of the system
The Grid Sketcher: An AutoCad-based tool for conceptual design processes
Sketching with pencil and paper is reminiscent of the varied, rich, and loosely defined formal processes associated with conceptual design. Architects actively engage such creative paradigms in their exploration and development of conceptual design solutions. The Grid Sketcher, as a conceptual sketching tool, presents one possible computer implementation for enhancing and supporting these processes. It effectively demonstrates the facility with which current technology and the computing environment can enhance and simulate sketching intents and expectations; Typically with respect to design, the position taken is that the two are virtually void of any fundamental commonality. A designer\u27s thoughts are intuitive, at times irrational, and rarely follow consistently identifiable patterns. Conversely, computing requires predictability in just these endeavors. The computing environment, as commonly defined, can not reasonably expect to mimic the typically human domain of creative design. In this context, this thesis accentuates the computer\u27s role as a form generator as opposed to a form evaluator. The computer, under the influence of certain contextual parameters can, however, provide the designer with a rich and elegant set of forms that respond through algorithmics to the designer\u27s creative intents. (Abstract shortened by UMI.)
Smart charging strategies for electric vehicle charging stations
Although the concept of transportation electrification holds enormous prospects in addressing the global environmental pollution problem, consumer concerns over the limited availability of charging stations and long charging/waiting times are major contributors to the slow uptake of plug-in electric vehicles (PEVs) in many countries. To address the consumer concerns, many countries have undertaken projects to deploy a network of both fast and slow charging stations, commonly known as electric vehicle charging networks.
While a large electric vehicle charging network will certainly be helpful in addressing PEV owners\u27 concerns, the full potential of this network cannot be realised without the implementation of smart charging strategies. For example, the charging load distribution in an EV charging network would be expected to be skewed towards stations located in hotspot areas, instigating longer queues and waiting times in these areas, particularly during afternoon peak traffic hours. This can also lead to a major challenge for the utilities in the form of an extended PEV charging load period, which could overlap with residential evening peak load hours, increasing peak demand and causing serious issues including network instability and power outages.
This thesis presents a smart charging strategy for EV charging networks. The proposed smart charging strategy finds the optimum charging station for a PEV owner to ensure minimum charging time, travel time and charging cost. The problem is modelled as a multi-objective optimisation problem. A metaheuristic solution in the form of ant colony optimisation (ACO) is applied to solve the problem. Considering the influence of pricing on PEV owners\u27 behaviour, the smart charging strategy is then extended to address the charging load imbalance problem in the EV network. A coordinated dynamic pricing model is presented to reduce the load imbalance, which contributes to a reduction in overlaps between residential and charging loads. A constraint optimization problem is formulated and a heuristic solution is introduced to minimize the overlap between the PEV and residential peak load periods. In the last part of this thesis, a smart management strategy for portable charging stations (PCSs) is introduced. It is shown that when smartly managed, PCSs can play an important role in the reduction of waiting times in an EV charging network. A new strategy is proposed for dispatching/allocating PCSs during various hours of the day to reduce waiting times at public charging stations. This also helps to decrease the overlap between the total PEV demand and peak residential load
Deep Learning -Powered Computational Intelligence for Cyber-Attacks Detection and Mitigation in 5G-Enabled Electric Vehicle Charging Station
An electric vehicle charging station (EVCS) infrastructure is the backbone of transportation electrification. However, the EVCS has various cyber-attack vulnerabilities in software, hardware, supply chain, and incumbent legacy technologies such as network, communication, and control. Therefore, proactively monitoring, detecting, and defending against these attacks is very important. The state-of-the-art approaches are not agile and intelligent enough to detect, mitigate, and defend against various cyber-physical attacks in the EVCS system. To overcome these limitations, this dissertation primarily designs, develops, implements, and tests the data-driven deep learning-powered computational intelligence to detect and mitigate cyber-physical attacks at the network and physical layers of 5G-enabled EVCS infrastructure. Also, the 5G slicing application to ensure the security and service level agreement (SLA) in the EVCS ecosystem has been studied. Various cyber-attacks such as distributed denial of services (DDoS), False data injection (FDI), advanced persistent threats (APT), and ransomware attacks on the network in a standalone 5G-enabled EVCS environment have been considered. Mathematical models for the mentioned cyber-attacks have been developed. The impact of cyber-attacks on the EVCS operation has been analyzed. Various deep learning-powered intrusion detection systems have been proposed to detect attacks using local electrical and network fingerprints. Furthermore, a novel detection framework has been designed and developed to deal with ransomware threats in high-speed, high-dimensional, multimodal data and assets from eccentric stakeholders of the connected automated vehicle (CAV) ecosystem. To mitigate the adverse effects of cyber-attacks on EVCS controllers, novel data-driven digital clones based on Twin Delayed Deep Deterministic Policy Gradient (TD3) Deep Reinforcement Learning (DRL) has been developed. Also, various Bruteforce, Controller clones-based methods have been devised and tested to aid the defense and mitigation of the impact of the attacks of the EVCS operation. The performance of the proposed mitigation method has been compared with that of a benchmark Deep Deterministic Policy Gradient (DDPG)-based digital clones approach. Simulation results obtained from the Python, Matlab/Simulink, and NetSim software demonstrate that the cyber-attacks are disruptive and detrimental to the operation of EVCS. The proposed detection and mitigation methods are effective and perform better than the conventional and benchmark techniques for the 5G-enabled EVCS
TOWARDS INSTITUTIONAL INFRASTRUCTURES FOR E-SCIENCE: The Scope of the Challenge
The three-fold purpose of this Report to the Joint Information Systems Committee (JISC) of the Research Councils (UK) is to: • articulate the nature and significance of the non-technological issues that will bear on the practical effectiveness of the hardware and software infrastructures that are being created to enable collaborations in e- Science; • characterise succinctly the fundamental sources of the organisational and institutional challenges that need to be addressed in regard to defining terms, rights and responsibilities of the collaborating parties, and to illustrate these by reference to the limited experience gained to date in regard to intellectual property, liability, privacy, and security and competition policy issues affecting scientific research organisations; and • propose approaches for arriving at institutional mechanisms whose establishment would generate workable, specific arrangements facilitating collaboration in e-Science; and, that also might serve to meet similar needs in other spheres such as e- Learning, e-Government, e-Commerce, e-Healthcare. In carrying out these tasks, the report examines developments in enhanced computer-mediated telecommunication networks and digital information technologies, and recent advances in technologies of collaboration. It considers the economic and legal aspects of scientific collaboration, with attention to interactions between formal contracting and 'private ordering' arrangements that rest upon research community norms. It offers definitions of e-Science, virtual laboratories, collaboratories, and develops a taxonomy of collaborative e-Science activities which is implemented to classify British e-Science pilot projects and contrast these with US collaboratory projects funded during the 1990s. The approach to facilitating inter-organizational participation in collaborative projects rests upon the development of a modular structure of contractual clauses that permit flexibility and experience-based learning.
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Grid-based semantic integration of heterogeneous data resources: Implementation on a HealthGrid
This thesis was submitted for the degree of Doctor of Philosophy and was awarded by Brunel University.The semantic integration of geographically distributed and heterogeneous data
resources still remains a key challenge in Grid infrastructures. Today's
mainstream Grid technologies hold the promise to meet this challenge in a
systematic manner, making data applications more scalable and manageable. The
thesis conducts a thorough investigation of the problem, the state of the art, and
the related technologies, and proposes an Architecture for Semantic Integration of
Data Sources (ASIDS) addressing the semantic heterogeneity issue. It defines a
simple mechanism for the interoperability of heterogeneous data sources in order
to extract or discover information regardless of their different semantics. The
constituent technologies of this architecture include Globus Toolkit (GT4) and
OGSA-DAI (Open Grid Service Architecture Data Integration and Access)
alongside other web services technologies such as XML (Extensive Markup
Language). To show this, the ASIDS architecture was implemented and tested in a
realistic setting by building an exemplar application prototype on a HealthGrid
(pilot implementation).
The study followed an empirical research methodology and was informed by
extensive literature surveys and a critical analysis of the relevant technologies and
their synergies. The two literature reviews, together with the analysis of the
technology background, have provided a good overview of the current Grid and
HealthGrid landscape, produced some valuable taxonomies, explored new paths
by integrating technologies, and more importantly illuminated the problem and
guided the research process towards a promising solution. Yet the primary
contribution of this research is an approach that uses contemporary Grid
technologies for integrating heterogeneous data resources that have semantically
different. data fields (attributes). It has been practically demonstrated (using a
prototype HealthGrid) that discovery in semantically integrated distributed data
sources can be feasible by using mainstream Grid technologies, which have been
shown to have some Significant advantages over non-Grid based approaches
Design and construction of smart three-way change over switch and microcontroller-based pure sine wave inverter with remote monitoring solution
Capstone Project submitted to the Department of Engineering, Ashesi University in partial fulfillment of the requirements for the award of Bachelor of Science degree in Electrical and Electronic Engineering, May 2022Intermittent power outages have rendered most developing countries' national grids
unreliable. Consumers have installed alternative energy sources such as solar panels and
wind turbines to combat this issue. Because of their nature, the output of these power sources
must be converted to match the national grid's output. Additionally, consumers must be able
to switch between these power sources when required quickly.
Many inverter solutions have been developed and are readily available in the market.
However, most affordable inverters produce a square wave, which is unsuitable for sensitive
electronics; sine-wave inverters, on the other hand, are perfect for all appliances but are
more expensive than square wave inverters.
Furthermore, many switching solutions are available in the market to allow consumers to
switch between power sources manually or automatically. These, however, can only switch
between two power sources.
This project has designed and developed a microcontroller-based pure sine wave inverter equipped with remote monitoring capabilities and a three-way intelligent changeover
switch. The inverter converts 12V DC to a single-phase 230V AC at 50Hz pure sine wave.
The three-way changeover utilizes a microcontroller to switch the power supply among
three input power sources.Ashesi Universit
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