This document discusses the Waternomics project, which aims to develop smart water management applications. It notes that water demand is increasing globally while infrastructure is costly to maintain. The Waternomics project involves 3 pilot sites in Greece, Italy, and Ireland to test applications for domestic, corporate, and city users. The goal is to use new technologies and data to improve water monitoring, leak detection, and encourage conservation.
This is a presentation made by Wassim Derguech at the Waternomics final event on 31/01/2017 for sharing the project contribution for the management of data sources: sensor data, enterprise data and open data
Waternomics - ICT for Water Resource Management - Water Information PlatformWaternomics
As part of the Waternomics project, various exploitable results have been identified. The Water Information Platform is one of these results. This document highlights the objective, and key benefits of this Water Information Platform.
Waternomics Flyer - ICT for Water Resource ManagementWaternomics
This is the Waternomics flyer. It highlights the objective, approach and results for the project. Furthermore, it give a overview of the project and its pilots and partners.
Interactive Water Services: The Waternomics ApproachEdward Curry
WATERNOMICS focuses on the development of ICT as an enabling technology to manage water as a resource, increase end-user conservation awareness and affect behavioral changes. Unique aspects of WATERNOMICS include personalized feedback about end-user water consumption, the development of systematic and standards-based water resource management systems, new sensor hardware developments, and the introduction of forecasting and fault detection diagnosis to the analysis of water consumption data. These services will be bundled into the WATERNOMICS Water Information Services Platform. This paper presents the overall architectural approach to WATERNOMICS and details the potential interactive services possible based on this novel platform.
AUTOMATED LEAK DETECTION SYSTEM FOR THE IMPROVEMENT OF WATER NETWORK MANAGEMENTWaternomics
The need for an efficient Water Management System (WMS) is strongly felt by water utilities, municipalities and by medium to large scale corporates that have to face every day with problems dealing with water usage and supply [1]. Leveraging a sensor data network, an automated system to implement fault detection in a water network at an early stage can be a valuable tool that saves water, energy, time and money. This paper introduces a novel FDD (fault detection and diagnosis) approach for water networks developed within the FP7 Waternomics Project by modeling a water network in the simulation environment EPANET and applying an anomaly detection algorithm named ADWICE (Anomaly Detection With fast Incremental ClustEring) [2] to real time data of water flow and pressure to infer performance and operational anomalies. The method is currently being implemented at the Linate Airport water network in Milan, and initial results are presented in this paper.
This is a presentation made by Wassim Derguech at the Waternomics final event on 31/01/2017 for sharing the project contribution for the management of data sources: sensor data, enterprise data and open data
Waternomics - ICT for Water Resource Management - Water Information PlatformWaternomics
As part of the Waternomics project, various exploitable results have been identified. The Water Information Platform is one of these results. This document highlights the objective, and key benefits of this Water Information Platform.
Waternomics Flyer - ICT for Water Resource ManagementWaternomics
This is the Waternomics flyer. It highlights the objective, approach and results for the project. Furthermore, it give a overview of the project and its pilots and partners.
Interactive Water Services: The Waternomics ApproachEdward Curry
WATERNOMICS focuses on the development of ICT as an enabling technology to manage water as a resource, increase end-user conservation awareness and affect behavioral changes. Unique aspects of WATERNOMICS include personalized feedback about end-user water consumption, the development of systematic and standards-based water resource management systems, new sensor hardware developments, and the introduction of forecasting and fault detection diagnosis to the analysis of water consumption data. These services will be bundled into the WATERNOMICS Water Information Services Platform. This paper presents the overall architectural approach to WATERNOMICS and details the potential interactive services possible based on this novel platform.
AUTOMATED LEAK DETECTION SYSTEM FOR THE IMPROVEMENT OF WATER NETWORK MANAGEMENTWaternomics
The need for an efficient Water Management System (WMS) is strongly felt by water utilities, municipalities and by medium to large scale corporates that have to face every day with problems dealing with water usage and supply [1]. Leveraging a sensor data network, an automated system to implement fault detection in a water network at an early stage can be a valuable tool that saves water, energy, time and money. This paper introduces a novel FDD (fault detection and diagnosis) approach for water networks developed within the FP7 Waternomics Project by modeling a water network in the simulation environment EPANET and applying an anomaly detection algorithm named ADWICE (Anomaly Detection With fast Incremental ClustEring) [2] to real time data of water flow and pressure to infer performance and operational anomalies. The method is currently being implemented at the Linate Airport water network in Milan, and initial results are presented in this paper.
Waternomics Open Day Thermi - Project overview and MethodologyWaternomics
Presentation of the Waternomics project and the Waternomics Methodology for smart water systems prepared for the Open Day in Thermi, Greece. First part of the presentation is in Greece.
To resolve upcoming shortages in clean drinking water, Waternomics will explore technologies and methodologies needed to successfully reduce water consumption from households, companies and municipalities. Waternomics is a three year, EU-funded project that started in February 2014 and will evaluate its results in three real life experiments in Italy, Greece and Poland.
Waternomics Methodology: A Standards based Methodology for the Implementation...Waternomics
This brochure shows the Waternomics methodology introduced as a standards based methodology for the implementation of water efficiency programs using smart water systems
Waternomics - ICT for Water Resource ManagementWaternomics
Objective: WATERNOMICS will provide personalised and actionable information on water consumption and water availability to individual households, companies and cities in an intuitive & effective manner at relevant time-scales for decision m
Digital solutions for water policies from the ICT4Water clusterEIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 2 “Innovations for implementing EU water legislation”
Water Conservation in Galway City & WaternomicsWaternomics
This is a presentation made by Elizabeth Fanning from Galway City Council at the Waternomics final event on 31/01/2017 for sharing Galway city water conservation plan and annoucing the Green leaf award 2017
Future-proofing policy for electricity expansion from datacentres. SustainableEnergyAut
Dr Muireann Lynch, ESRI delivers a presentation on future-proofing policy for electricity expansion from datacentres. (Presentation delivered at the inaugural National Energy Research and Policy Conference in Dublin, Nov 2019)
Sentinel Cloud Services for Copernicus usersterradue
Terradue at the Copernicus Big Data Workshop, 14th March 2014 in Brussels.
A discussion about the Sentinel downstream services, viewed from the landscape of opportunities brought by Copernicus for SMEs.
As we are celebrating this week the 25th anniversary of the World Wide Web, Tim-berners Lee's "This is for everyone" (Olympic Games, London 2012) makes the point.
What will the next 25 years of Copernicus data availability look like ? How to create powerful Webs of users for the earth Sentinels ?
We present our current engineering activities, leveraging Open Web and Cloud Computing opportunities, and aiming at empowering the Copernicus users.
Read more:
http://www.sensyf.eu
http://www.copernicus.eu
http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Climate_services
An Autonomic Approach to Real-Time Predictive Analytics using Open Data and ...Wassim Derguech
Public datasets are becoming more and more available for organizations. Both public and private data can be used to drive innovations and new solutions to various problems. The Internet of Things (IoT) and Open Data are particularly promising in real time predictive data analytics for effective decision support. The main challenge in this context is the dynamic selection of open data and IoT sources to support predictive analytics. This issue is widely discussed in various domains including economics, market analysis, energy usage, etc. Our case study is the prediction of energy usage of a building using open data and IoT. We propose a two-step solution: (1) data management: collection, filtering and warehousing and (2) data analytics: source selection and prediction. This work has been evaluated in real settings using IoT sensors and open weather data.
Waternomics Open Day Thermi - Project overview and MethodologyWaternomics
Presentation of the Waternomics project and the Waternomics Methodology for smart water systems prepared for the Open Day in Thermi, Greece. First part of the presentation is in Greece.
To resolve upcoming shortages in clean drinking water, Waternomics will explore technologies and methodologies needed to successfully reduce water consumption from households, companies and municipalities. Waternomics is a three year, EU-funded project that started in February 2014 and will evaluate its results in three real life experiments in Italy, Greece and Poland.
Waternomics Methodology: A Standards based Methodology for the Implementation...Waternomics
This brochure shows the Waternomics methodology introduced as a standards based methodology for the implementation of water efficiency programs using smart water systems
Waternomics - ICT for Water Resource ManagementWaternomics
Objective: WATERNOMICS will provide personalised and actionable information on water consumption and water availability to individual households, companies and cities in an intuitive & effective manner at relevant time-scales for decision m
Digital solutions for water policies from the ICT4Water clusterEIP Water
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 2 “Innovations for implementing EU water legislation”
Water Conservation in Galway City & WaternomicsWaternomics
This is a presentation made by Elizabeth Fanning from Galway City Council at the Waternomics final event on 31/01/2017 for sharing Galway city water conservation plan and annoucing the Green leaf award 2017
Future-proofing policy for electricity expansion from datacentres. SustainableEnergyAut
Dr Muireann Lynch, ESRI delivers a presentation on future-proofing policy for electricity expansion from datacentres. (Presentation delivered at the inaugural National Energy Research and Policy Conference in Dublin, Nov 2019)
Sentinel Cloud Services for Copernicus usersterradue
Terradue at the Copernicus Big Data Workshop, 14th March 2014 in Brussels.
A discussion about the Sentinel downstream services, viewed from the landscape of opportunities brought by Copernicus for SMEs.
As we are celebrating this week the 25th anniversary of the World Wide Web, Tim-berners Lee's "This is for everyone" (Olympic Games, London 2012) makes the point.
What will the next 25 years of Copernicus data availability look like ? How to create powerful Webs of users for the earth Sentinels ?
We present our current engineering activities, leveraging Open Web and Cloud Computing opportunities, and aiming at empowering the Copernicus users.
Read more:
http://www.sensyf.eu
http://www.copernicus.eu
http://www.esa.int/Our_Activities/Observing_the_Earth/Copernicus/Climate_services
An Autonomic Approach to Real-Time Predictive Analytics using Open Data and ...Wassim Derguech
Public datasets are becoming more and more available for organizations. Both public and private data can be used to drive innovations and new solutions to various problems. The Internet of Things (IoT) and Open Data are particularly promising in real time predictive data analytics for effective decision support. The main challenge in this context is the dynamic selection of open data and IoT sources to support predictive analytics. This issue is widely discussed in various domains including economics, market analysis, energy usage, etc. Our case study is the prediction of energy usage of a building using open data and IoT. We propose a two-step solution: (1) data management: collection, filtering and warehousing and (2) data analytics: source selection and prediction. This work has been evaluated in real settings using IoT sensors and open weather data.
Modelling and Querying Sensor Services using OntologiesWassim Derguech
We propose in this paper a service description meta-model for describing services from a functional and non-functional perspectives. The model is inspired from the frame based modeling technique and is serialized in RDF (Resource Description Framework) using Linked Data principles. We apply this model for describing sensor services: modeling sensors and their readings enriched with non-functional properties. We also done a complete architecture for managing sensor data: collection, conversion, enrichment and storage. We tested our prototype using live streams of sensors readings. The paper also reports on the required time and storage size during the management and querying of sensor data.
Organizing Capabilities using Formal Concept AnalysisWassim Derguech
The paper has been further extended and accepted for publication in The Computer Journal Published by Oxford University Press following peer review. The version of record Section A: Computer Science Theory, Methods and Tools: Wassim Derguech, Sami Bhiri, Souleiman Hasan, and Edward Curry, Using Formal Concept Analysis for Organizing and Discovering Sensor Capabilities, The Computer Journal first published online September 11, 2014 doi:10.1093/comjnl/bxu088 is available online at: http://comjnl.oxfordjournals.org/content/early/2014/09/11/comjnl.bxu088.
Business Capability-centric Management of Services and Business Process ModelsWassim Derguech
With the advent of Industry 4.0, more and more companies are actively working on digitising their assets (i.e., services, processes, etc.) for better control, collaboration, modularity, analysis, etc. By 2020 more than 80% of companies will have digitised their business processes and value chains. This creates more services and processes, making their indexing, discovery, configuration, etc. more challenging. Thus, digitising assets needs a data model to describe them together with algorithms for indexing, discovery and configuration.
This thesis details a concept model for describing the business capability of services and business processes from a functional perspective in terms of what do they achieve together with related business properties. Furthermore, this work proposes the aggregation, indexing, discovery and configuration of services and business processes using the concept of business capability.
The concept of capability is a cornerstone element in service description. Nevertheless, despite its fundamental role little effort has been seen to model service capabilities. Current approaches either fail to consider capabilities as feature-based entities and confuse them with annotated invocation interfaces or fail in modelling capabilities at several abstraction levels and establishing links between them. In particular, they are not able to model and deal with concrete capabilities (i.e., capabilities that reflect real customers' needs). In this paper, we propose a conceptual model as an RDF-schema for describing service capabilities. Our model defines capabilities as an action verb and a set of attributes and their values. It is also able to define capabilities at different levels of abstractions/concreteness and establish links between them. Most importantly, our model enables describing concrete capabilities which directly correspond to consumer needs. Our meta model is based on RDF and makes use of Linked Data to define capability attributes as well as their values.
Smart City Orchestration via Integrated Decision AnalyticsBiomatica BV
Smart City Orchestration via Integrated Decision Analytics
This presentation examines Smart City orchestration from an Operations Management / Management Science perspective using hand-on examples employing the range of tools from the Palisade Decision Suite.
Driven by a futuristic vision of sustainable urban environments, the Smart Cities concept has excited the enthusiasm and imagination of a broad range of stakeholders. With over 50% of the Earth’s population living in urban areas, a number predicted to top 70% by 2050 (according to the UN Department of Economic and Social Affairs), it is clear that better architected cities would greatly benefit broad human welfare. The most rapidly growing urban areas are in developed countries, where squalor and environmental degradation threaten to steadily move hand-in-hand with so-called progress. Clearly, while there is the luxury to speculate on such utopian visions as the Smart City currently, the inertia of urbanization combined with global population growth, climate change, socio-economic instability, and natural resource constraints promise to make this a more pressing and urgent need in the next two decades. However, is this but a case of a buzzword propelled by well-meaning hype? While a great deal of speculative scenarios have been spun advocating the Smart City vision, tangible specifics are at best diffuse and at worst tenuous. What are the operational prospects for streamlining future cities? Moreover, what of the implied complex problems which inter-system urban dependencies create? The biggest stumbling block to Smart Cities is the inability of focused stakeholders to make complex decisions in environments of complexity.
Enter integrated decision analytics to coordinate thorny system-of-system urban orchestration and planning problems. Palisade Decision Tools Suite is an ideal vehicle for conducting the deep analysis needed to separate the hype from the tangible economic value-driven factors needed to ‘green light’ Smart City initiatives. This presentation makes the case for value creation via deep, integrated decision analytics. Starting with targeted hands-on example cases, the presentation progresses to show how integrated analytics will be a keystone in the prospect for moving the Smart City vision from wishful-thinking to executable specifics. The range of Palisade tools are used to show how stochastic risk analysis (@Risk), rational prioritization (Precision Tree), efficiency optimization (Evolver), and predictive planning (NeuralTools) offer a concerted toolbox to bring together the complex system-of-system and human prioritization challenges that underlie the Smart City challenge.
Scott Mongeau
Founder and Lead Consultant, SARK7
scott@sark7.com
Netherlands: +31-(0)6-42353427
Social Media Content Management: Building a team and working with student con...NAFSA Tech MIG
Presented at the NAFSA Region V 2015 conference by Nathan Barker of the University of Wisconsin-Madison and Hannah DeMilta of The Education Abroad Network.
BioSense is an all-hazards surveillance program for achieving near real-time national public health situation awareness and early detection. Prospective anomaly detection methods such as the Modified EARS C2 are commonly adapted and used in BioSense and other public health syndromic surveillance systems. These methods however can produce an excessive false alert rate. Analyses results will be presented on the combined use of retrospective (e.g., Change Point Analysis (or CPA)) and prospective (e.g., C2) anomaly detection methods. This combined approach will help detect sudden aberrations in addition to subtle changes in local trends, help rule out alarm investigations, and assist with retrospective follow-ups. Examples on the utility of this combined approach in working collaboratively with the scientific community are applied to BioSense emergency departments' visits due to ILI. Methods, limitations, future work, and invitation to the scientific community to collaborate with us will be discussed at this talk.
Everyone has heard about the term e-Learning. But what is it exactly? What are the benefits of e-Learning? Is it useful for everyone? We have explained the term e-Learning and its benefits to everyone in the most simplest way.
Business is often not prepared to take on sustainability efforts for a variety of reasons. Some of these may be related to a lack of maturity in business process, data management, information gathering or expertise in the subject.
This presentation considers organizational capability in the form of maturity models and frameworks in order to gauge ability to address sustainability. Once an accurate understanding of maturity is documented, it then becomes a matter of planning for and creation of maturity in critical areas that will enable sustainability performance.
The paper that this presentation is based on is available in the Proceedings of the Society of Petroleum Engineers, Health, Safety, Security, Environment and Social Responsibility Conference - North America held in New Orleans, April 18-20, 2017.
Contact us if you'd like to find out more.
E-learning: Sustainability, environment and renewable energy, a Baltazar Guerra
A Pilot Module will be implemented by 4 JELARE project’s partners: Bolivia,
Brazil, Guatemala and Latvia. A research was made by them in their own
countries where a scarcity of multidisciplinary programs was detected at the
Postgraduate level. The common characteristic was the need to modernize
the curriculum by introducing a more diverse perspective. The student
profile at the end should aim to provide skills to the private as well as the
public, non-governmental and academic sectors. The pensum will consist of
13 courses inferred from an analysis of the competencies needed, along
three modules: Sustainability, Environment and Renewable Energy (with
courses such as Sociology of Development and Global Challenges,
Environment and Sustainable Development, Energy Matrix Planning,
Energy Economics, Policies and Regulations on Energy and Environment and
courses mainly devoted to renewable energy and their management). The
Postgraduate Program is to be implemented in 4 trimesters. On-line
modalities will be introduced where self-study, cooperation and tutorial
guidelines will be highlighted. The scheme will open activities by July 1st
2011; the institutional framework for implementation is being worked out
among all interested partners at present.
Waternomics: Development of a Water Information Platform based on a Linked Se...Waternomics
In Europe, 20-40% of water is being wasted due to poor infrastructure, consumer negligence and lack of proper resource management. Effective and efficient management of water resources requires a holistic approach considering all the stages of water usage. Waternomics aims to provide contextual information about water consumption at relevant time-scales to a variety of stakeholders (Domestic, Commercial, and Utility) to increase user awareness and enable more effective decision-making.
Interactive Water Services: The Waternomics Approach (WDSA 2014)Waternomics
WATERNOMICS focuses on the development of ICT as an enabling technology to manage water as a resource, increase end-user conservation awareness and affect behavioral changes. Unique aspects of WATERNOMICS include personalized feedback about end-user water consumption, the development of systematic and standards-based water resource management systems, new sensor hardware developments, and the introduction of forecasting and fault detection diagnosis to the analysis of water consumption data. These services will be bundled into the WATERNOMICS Water Information Services Platform. This paper presents the overall architectural approach to WATERNOMICS and details the potential interactive services possible based on this novel platform.
Waternomics: Overview of the Pilots Objectives, Measures and OutcomesWaternomics
This is a presentation made by Louise Hannon at the Waternomics final event on 31/01/2017 for sharing an overview of the Pilots Objectives, Measures and Outcomes
World Water Congress 2015 - Impact of ICT on water utility business model Waternomics
This presentation was prepared for the World Water Congress 2015 in Edinburgh. It shows the impact of smart water technology on a water utilities business model and was presented by Sander Smit from BM-Change at the congress.
Smart meters are a major component of eco friendly home or building. Smart metering is required for the operation of the smart homes and buildings. The benefits of smart water metering have been recognized. A powerful approach for hour by hour monitoring and metering purposes in water networks is the automatic meter infrastructure AMI . Smart metering is now an established technology which can be applied to collect, store, and distribute real time data on water usage. This paper provides a brief introduction to the smart water metering. Matthew N. O. Sadiku | Adedamola A. Omotoso | Sarhan M. Musa "Smart Water Metering" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29223.pdf Paper URL: https://www.ijtsrd.com/engineering/electrical-engineering/29223/smart-water-metering/matthew-n-o-sadiku
Presentation hold during EIP Water Conference in Porto, as part of the Porto Water Innovation Week in Session 7 “The water business: Markets, opportunities and employment”
Smart water meter: Rise in water scarcity crisis coupled with the exploitatio...jitendra more
The world is facing a huge scarcity of water owing to practices such as illegal tapping, tampering of pipelines, and leakage among others. Owing to this, water scarcity is rapidly increasing in the current scenario and the issue is anticipated to increase in the near future. According to WWF (World Wildlife Fund), approximately 1.1 Bn people globally lack access to water, totaling to 2.7 Bn find water scarce. In addition to this, another major problem faced by various regions is the misuse of water which has significantly raised the demand for advanced solutions to maintain the consumption pattern from the source to destination.
Read more @ https://www.theinsightpartners.com/reports/smart-water-meters-market
Best practices and technologies to overcome barriers to implementing smart wa...MiDo Srl
This paper reports the results of four years of pilot projects smart metering and monitoring of water networks in different scenarios and application environments, made with various public and private companies involved in the distribution of water resources
We want to prove that the applicability and economic sustainability of metering systems are only possible if you adopt open systems, versatile, interoperable, self-powered and complete.
Open systems, versatile, interoperable, self-powered and complete in other word means consisting of:
1. devices that can be connected to any type of mechanical counter or probes (pressure temperature etc.) via radio or wired using standardized protocols,
2. self-powered with a lifetime of 10 years at least,
3. complete with communication interfaces, and able to transmit the data autonomously to
4. data management systems provided as Software as a service (cloud computing service) or that can be interfaced to existing systems management software.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
1. @WATERNOMICS_EU www.waternomics.eu
Project co-funded by the European
Commission within the 7th Framework
Program (Grant Agreement No. 619660)
ICT FOR WATER MANAGEMENT
Presented by Wassim Derguech
OPEN AGILE SMART CITIES – IRELAND
INAUGURAL MEETING – DUBLIN – WOODQUAY VENUE
TUESDAY 29TH SEPTEMBER 2015
4. @WATERNOMICS_EU www.waternomics.eu4
WATER DEMAND IN NUMBERS
By 2025, 2/3 of the world population
will live in water stressed regions
Global energy and water demand is expected
to rise 40% over the next 20 years
20-40% of Europe’s water is being wasted
+40%
20-40%
of water
wasted
9. @WATERNOMICS_EU www.waternomics.eu9
▶ Type of project: Collaborative project
▶ Project start date: February 2014
▶ Duration: 36 months
▶ Call: FP7-ICT-2013-11
▶ Effort: 416 PM
▶ Budget: €4.287M
▶ Max EC contribution: €2.905M
▶ Grant No.: 619660
▶ Consortium: 9 partners
▶ Countries: 4
▶ SMEs: 4
▶ Pilots: 3
KEY FACTS ABOUT WATERNOMICS
10. @WATERNOMICS_EU www.waternomics.eu10
LOCATION
Municipality Corporate Public
THERMI, GREECE LINATE AIRPORT, MILIAN GALWAY, IRELAND
Domestic users and utility Corporate users School and University Users
KEYOUTCOMES
• Identify, inform and gain
consent of user-base;
• Detail assessment metrics;
• Link the Waternomics
Platform to the Utility
database;
• Gain feedback on feasibility
and efficiency of flexible
tariffing;
• Feedback from utilities and
consumers on: personalised
interaction with the system
and ease of data accessibility;
• Evaluate efficacy of system in
raising user awareness of
water consumption, and
changes in consumer
behaviour.
• Technical – sensor locations,
data and communication
architecture;
• Reporting – relevant KPI’s;
• Economical – Cost/Benefit
analysis;
• Business Model – new services
and value proposition;
• Management and processes;
• Certifications;
• Savings – attributable savings
based on availability of real-
time water data for (i) novel
business models, (ii) fault/leak
detection, (iii) water network
optimisation;
• Corporate image– CSR;
• Public Awareness.
• Assess current SOTA metering
and billing methodologies;
• Detailed monitoring of usage
characteristics;
• Conduct data analysis /
assessment
• Implement and test leak and
fault detection strategies;
• Implement public water
feedback and visualisation
dashboard;
• Test gamification system and
gather feedback from users.
PILOT SITES