This document summarizes a presentation given by Dr. Chris Gippel on making use of existing hydrological and water quality data from Chinese rivers. It includes flow and water quality trends from the Huayuankou station on the Yellow River from 1950 to 2009, showing some improvement in recent years following operations of the Xiaolangdi and other dams. Charts and graphs are displayed from the presentation comparing flow rates and the proportion of time meeting different water quality standards over time.
The International WaterCentre (IWC) Master of Integrated Water Management program is designed to equip future water leaders with the knowledge and skills they need to create innovative, ‘whole-of-water-cycle’ solutions to local and global water challenges. The degree is co-badged and co-taught by IWC's four founding member universities: The University of Queensland, Griffith University, Monash University and The University of Western Australia.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The International WaterCentre (IWC) Master of Integrated Water Management program is designed to equip future water leaders with the knowledge and skills they need to create innovative, ‘whole-of-water-cycle’ solutions to local and global water challenges. The degree is co-badged and co-taught by IWC's four founding member universities: The University of Queensland, Griffith University, Monash University and The University of Western Australia.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Making use of existing data in river health assessment RESULTS
1. Making use of existing data –
results from Chinese rivers
Dr Chris Gippel, Australia
Project Completion Workshop
Ministry of Water Resources
2012 February 23
2. Hydrology – Flow Health (monthly data)
120
9m)
3
100
61.7 x 109 m3
80
43.9 x 109 m3
60
40
20
g
h
d
u
n
L
0
1
e
c
s
a
r
(
t
l
j
i
0
1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
35
post-Xiaolangdi
3
9m)
30 post-Longyangxia
25
20
15
10 post-Sanmenxia
pre-
5 Sanmenxia
m
C
p
g
o
d
u
0
1
y
s
c
e
v
a
r
(
t
i
l
Liujiaxia
0
1950 1955 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005
4. 大坝建成 大坝建成 大坝建成 大坝建成
Dam Dam Huayuankou Dam Dam
1.0
0.8
0.6
0.4
0.2 Huayuankou
D
o
d
n
F
c
s
x
e
r
i
I
0.0
Dam Dam Dam Dam
Sunkou
1.0
0.8
0.6
Sunkou
0.4
0.2
D
o
d
n
F
c
s
x
e
r
i
I
Overall score 0.0
总体评分
Dam Dam Dam Dam
Luokou
1.0
0.8
0.6
Luokou
0.4
0.2
D
o
d
n
F
c
s
x
e
r
i
I
0.0
Dam Dam Dam Dam
Lijin
1.0
0.8
0.6
0.4
Lijin
D
0.2
o
d
n
F
c
s
x
e
r
i
I
0.0
1950 2008
7. 大坝建成
Dam
Benxi
1.0
0.8
0.6
0.4
0.2
D
o
d
n
F
c
s
x
e
r
i
I
0.0
大坝建成 大坝建成
Dam Dam Dam
Liaoyang
1.0
0.8
0.6
0.4
0.2
D
o
d
n
F
c
s
x
e
r
i
I
0.0
Overall score Dam Dam
Xiaolinzi Dam
总体评分
1.0
0.8
0.6
0.4
0.2
D
o
d
n
F
c
s
x
e
r
i
I
0.0
Dam Dam Dam
Tangmazhai
1.0
0.8
0.6
0.4
D
0.2
o
n
F
d
c
s
x
e
r
i
I
0.0
8.
9.
10. 大坝建成
Dam
Guilin
1.0
0.8
0.6
0.4
0.2
D
o
d
n
F
c
s
x
e
r
i
I
0.0
Dam
Majiang/Jingnan
1.0
Overall score 0.8
总体评分 0.6
0.4
0.2
D
o
d
n
F
c
s
x
e
r
i
I
0.0
Gongcheng
1.0
0.8
0.6
0.4
D
0.2
o
d
n
F
c
s
x
e
r
i
I
0.0
11. Index of compliance with environmental
flow components
• Score is based on O/E (Observed/Expected)
– Observed is the measured daily flow in the river over a year
– Expected is the flow events and baseflows that will maintain stream
health, as recommended through an environmental flows assessment
15. Water quality 水质
% of time meeting standard 全年达标天数比
例 饮用 娱乐用途 工农业和公园 生态河流健康
Drinking water Recreation Industry agriculture and parks Ecological river health
National conservation
Fish winter survival
irrigation of parks and
Agricultural irrigation
Aquaculture
General industrial
Industrial cooling
Sensitive and rare
Primary contact
Secondary ccontact
Passive non-contact
中国标准
Fish migration
Fish spawning
Fish rearing
treatment)
Source areas
2nd Class (requires
created landscapes
aquatic species
uses
areas
species
1st Class
Common aquatic
Arbitrary
Chinese aquatic
Grade health rating
I S S S S S S S S S S S S S S S S S S High-V. high
II U S S S S S S S S S S U S S S S S S Mod. -High
III U U S S S S S S S S S U U S U U S S Low-Mod.
IV U U U U S S U S S S S U U U U U U U Very low
V U U U U U S U U S S S U U U U U U U Very low
VI U U U U U U U U U U U U U U U U U U No value
U = 不当 S = 适合 中国 II 类水 = 良
中国标准 III = 黄河下游的官方标准