9,154 research outputs found
Post-2015 WASH targets and indicators: a review from a Human Rights Perspective
Informe tècnicPreprin
The doctoral research abstracts. Vol:7 2015 / Institute of Graduate Studies, UiTM
Foreword:
The Seventh Issue of The Doctoral Research Abstracts captures the novelty of
65 doctorates receiving their scrolls in UiTM’s 82nd Convocation in the field of
Science and Technology, Business and Administration, and Social Science and
Humanities. To the recipients I would like to say that you have most certainly
done UiTM proud by journeying through the scholastic path with its endless
challenges and impediments, and persevering right till the very end.
This convocation should not be regarded as the end of your highest scholarly
achievement and contribution to the body of knowledge but rather as the
beginning of embarking into high impact innovative research for the
community and country from knowledge gained during this academic
journey.
As alumni of UiTM, we will always hold you dear to our hearts. A new
‘handshake’ is about to take place between you and UiTM as joint
collaborators in future research undertakings. I envisioned a strong
research pact between you as our alumni and UiTM in breaking the
frontier of knowledge through research.
I wish you all the best in your endeavour and may I offer my
congratulations to all the graduands. ‘UiTM sentiasa dihati ku’ /
Tan Sri Dato’ Sri Prof Ir Dr Sahol Hamid Abu Bakar , FASc, PEng
Vice Chancellor
Universiti Teknologi MAR
Assessing Microfinance for Water and Sanitation: Exploring Opportunities for Sustainable Scaling Up
The objective of this study, commissioned by the Bill & Melinda Gates Foundation, is to assess the potential market for using microfinance in the water and sanitation sector, and to identify specific opportunities for potential learning, investment, and support. This report focuses on these opportunities and suggests measures that are needed for sustainable scaling up, which can be supported by the Bill & Melinda Gates Foundation and other development institutions
NILM techniques for intelligent home energy management and ambient assisted living: a review
The ongoing deployment of smart meters and different commercial devices has made electricity disaggregation feasible in buildings and households, based on a single measure of the current and, sometimes, of the voltage. Energy disaggregation is intended to separate the total power consumption into specific appliance loads, which can be achieved by applying Non-Intrusive Load Monitoring (NILM) techniques with a minimum invasion of privacy. NILM techniques are becoming more and more widespread in recent years, as a consequence of the interest companies and consumers have in efficient energy consumption and management. This work presents a detailed review of NILM methods, focusing particularly on recent proposals and their applications, particularly in the areas of Home Energy Management Systems (HEMS) and Ambient Assisted Living (AAL), where the ability to determine the on/off status of certain devices can provide key information for making further decisions. As well as complementing previous reviews on the NILM field and providing a discussion of the applications of NILM in HEMS and AAL, this paper provides guidelines for future research in these topics.Agência financiadora:
Programa Operacional Portugal 2020 and Programa Operacional Regional do Algarve
01/SAICT/2018/39578
Fundação para a Ciência e Tecnologia through IDMEC, under LAETA:
SFRH/BSAB/142998/2018
SFRH/BSAB/142997/2018
UID/EMS/50022/2019
Junta de Comunidades de Castilla-La-Mancha, Spain:
SBPLY/17/180501/000392
Spanish Ministry of Economy, Industry and Competitiveness (SOC-PLC project):
TEC2015-64835-C3-2-R MINECO/FEDERinfo:eu-repo/semantics/publishedVersio
Evaluation of the Precision-Privacy Tradeoff of Data Perturbation for Smart Metering
Abstract:
Smart grid users and standardization committees require that utilities and third parties collecting metering data employ techniques for limiting the level of precision of the gathered household measurements to a granularity no finer than what is required for providing the expected service. Data aggregation and data perturbation are two such techniques. This paper provides quantitative means to identify a tradeoff between the aggregation set size, the precision on the aggregated measurements, and the privacy level. This is achieved by formally defining an attack to the privacy of an individual user and calculating how much its success probability is reduced by applying data perturbation. Under the assumption of time-correlation of the measurements, colored noise can be used to even further reduce the success probability. The tightness of the analytical results is evaluated by comparing them to experimental data
From Social Data Mining to Forecasting Socio-Economic Crisis
Socio-economic data mining has a great potential in terms of gaining a better
understanding of problems that our economy and society are facing, such as
financial instability, shortages of resources, or conflicts. Without
large-scale data mining, progress in these areas seems hard or impossible.
Therefore, a suitable, distributed data mining infrastructure and research
centers should be built in Europe. It also appears appropriate to build a
network of Crisis Observatories. They can be imagined as laboratories devoted
to the gathering and processing of enormous volumes of data on both natural
systems such as the Earth and its ecosystem, as well as on human
techno-socio-economic systems, so as to gain early warnings of impending
events. Reality mining provides the chance to adapt more quickly and more
accurately to changing situations. Further opportunities arise by individually
customized services, which however should be provided in a privacy-respecting
way. This requires the development of novel ICT (such as a self- organizing
Web), but most likely new legal regulations and suitable institutions as well.
As long as such regulations are lacking on a world-wide scale, it is in the
public interest that scientists explore what can be done with the huge data
available. Big data do have the potential to change or even threaten democratic
societies. The same applies to sudden and large-scale failures of ICT systems.
Therefore, dealing with data must be done with a large degree of responsibility
and care. Self-interests of individuals, companies or institutions have limits,
where the public interest is affected, and public interest is not a sufficient
justification to violate human rights of individuals. Privacy is a high good,
as confidentiality is, and damaging it would have serious side effects for
society.Comment: 65 pages, 1 figure, Visioneer White Paper, see
http://www.visioneer.ethz.c
Recommended from our members
Disrupting Illicit Supply Networks: New Applications of Operations Research and Data Analytics to End Modern Slavery
Report from a 2017 National Science Foundation workshop on promising research directions for applications of operations research and data analytics toward the disruption of illicit supply networks like human trafficking. The workshop was funded by the NSF’s Operations Engineering (ENG) and the Law & Social Sciences Program (SBE) under grant # CMMI-1726895. The report addresses the opportunity to apply advances from the fields of operations research, management science, analytics, machine learning, and data science toward the development of disruptive interventions against illicit networks. Such an extension of the current research agenda for trafficking would move understanding of such dynamic systems from descriptive characterization and predictive estimation toward improved dynamic operational control.Bureau of Business Researc
- …