The document describes research on using symbolic regression to infer mathematical models from experimental data. Symbolic regression evolves computer programs that best fit the data, such as equations composed of basic arithmetic operations and functions. The approach is able to recover known models of various physical systems from sample data alone. It can also infer novel models of biological networks and other complex systems directly from experimental measurements. The ability to distill natural laws from data has applications in scientific discovery, engineering design, and other fields.
EXPERT SYSTEMS AND SOLUTIONS
Project Center For Research in Power Electronics and Power Systems
IEEE 2010 , IEEE 2011 BASED PROJECTS FOR FINAL YEAR STUDENTS OF B.E
Email: expertsyssol@gmail.com,
Cell: +919952749533, +918608603634
www.researchprojects.info
OMR, CHENNAI
IEEE based Projects For
Final year students of B.E in
EEE, ECE, EIE,CSE
M.E (Power Systems)
M.E (Applied Electronics)
M.E (Power Electronics)
Ph.D Electrical and Electronics.
Training
Students can assemble their hardware in our Research labs. Experts will be guiding the projects.
EXPERT GUIDANCE IN POWER SYSTEMS POWER ELECTRONICS
We provide guidance and codes for the for the following power systems areas.
1. Deregulated Systems,
2. Wind power Generation and Grid connection
3. Unit commitment
4. Economic Dispatch using AI methods
5. Voltage stability
6. FLC Control
7. Transformer Fault Identifications
8. SCADA - Power system Automation
we provide guidance and codes for the for the following power Electronics areas.
1. Three phase inverter and converters
2. Buck Boost Converter
3. Matrix Converter
4. Inverter and converter topologies
5. Fuzzy based control of Electric Drives.
6. Optimal design of Electrical Machines
7. BLDC and SR motor Drives
Presentation at International Advanced School on Knowledge Co-creation and Service Innovation 2012, Japan Advanced Institute of Science and Technology, March 1
The first report of Machine Learning Seminar organized by Computational Linguistics Laboratory at Kazan Federal University. See http://cll.niimm.ksu.ru/cms/lang/en_US/main/seminars/mlseminar
EXPERT SYSTEMS AND SOLUTIONS
Project Center For Research in Power Electronics and Power Systems
IEEE 2010 , IEEE 2011 BASED PROJECTS FOR FINAL YEAR STUDENTS OF B.E
Email: expertsyssol@gmail.com,
Cell: +919952749533, +918608603634
www.researchprojects.info
OMR, CHENNAI
IEEE based Projects For
Final year students of B.E in
EEE, ECE, EIE,CSE
M.E (Power Systems)
M.E (Applied Electronics)
M.E (Power Electronics)
Ph.D Electrical and Electronics.
Training
Students can assemble their hardware in our Research labs. Experts will be guiding the projects.
EXPERT GUIDANCE IN POWER SYSTEMS POWER ELECTRONICS
We provide guidance and codes for the for the following power systems areas.
1. Deregulated Systems,
2. Wind power Generation and Grid connection
3. Unit commitment
4. Economic Dispatch using AI methods
5. Voltage stability
6. FLC Control
7. Transformer Fault Identifications
8. SCADA - Power system Automation
we provide guidance and codes for the for the following power Electronics areas.
1. Three phase inverter and converters
2. Buck Boost Converter
3. Matrix Converter
4. Inverter and converter topologies
5. Fuzzy based control of Electric Drives.
6. Optimal design of Electrical Machines
7. BLDC and SR motor Drives
Presentation at International Advanced School on Knowledge Co-creation and Service Innovation 2012, Japan Advanced Institute of Science and Technology, March 1
The first report of Machine Learning Seminar organized by Computational Linguistics Laboratory at Kazan Federal University. See http://cll.niimm.ksu.ru/cms/lang/en_US/main/seminars/mlseminar
Lesson 27: Integration by Substitution (Section 4 version)Matthew Leingang
The method of substitution is the chain rule in reverse. At first it looks magical, then logical, and then you realize there's an art to choosing the right substitution. We try to demystify with many worked-out examples and graphics.
Principle of Integration - Basic Introduction - by Arun Umraossuserd6b1fd
Notes for integral calculus. Students must read function analysis before going through this book. Read Derivative Calculus before going through this book.
short course on Subsurface stochastic modelling and geostatisticsAmro Elfeki
This is a short course on Subsurface stochastic modelling and geo-statistics that has been held at Delft University of Technology, Delft The Netherlands.
Lesson 27: Integration by Substitution (Section 4 version)Matthew Leingang
The method of substitution is the chain rule in reverse. At first it looks magical, then logical, and then you realize there's an art to choosing the right substitution. We try to demystify with many worked-out examples and graphics.
Principle of Integration - Basic Introduction - by Arun Umraossuserd6b1fd
Notes for integral calculus. Students must read function analysis before going through this book. Read Derivative Calculus before going through this book.
short course on Subsurface stochastic modelling and geostatisticsAmro Elfeki
This is a short course on Subsurface stochastic modelling and geo-statistics that has been held at Delft University of Technology, Delft The Netherlands.
Representation of of Stochastic Processes in Stochastic Processes in Real and Spectral Domains Real and Spectral Domains and and Monte Monte-Carlo sampling
A Novel Methodology for Designing Linear Phase IIR FiltersIDES Editor
This paper presents a novel technique for
designing an Infinite Impulse Response (IIR) Filter with
Linear Phase Response. The design of IIR filter is always a
challenging task due to the reason that a Linear Phase
Response is not realizable in this kind. The conventional
techniques involve large number of samples and higher
order filter for better approximation resulting in complex
hardware for implementing the same. In addition, an
extensive computational resource for obtaining the inverse
of huge matrices is required. However, we propose a
technique, which uses the frequency domain sampling along
with the linear programming concept to achieve a filter
design, which gives a best approximation for the linear
phase response. The proposed method can give the closest
response with less number of samples (only 10) and is
computationally simple. We have presented the filter design
along with its formulation and solving methodology.
Numerical results are used to substantiate the efficiency of
the proposed method.
Similar to Distilling Free-Form Natural Laws from Experimental Data (20)
The app “It Feels Like” provides users a means of viewing their current weather conditions in an adventurous fashion. It takes current local weather information aggregated from Data Canvas nodes and compares this to a database of typical weather conditions from various international cities and finds the match with most similar weather. Once the match is found, “It Feels Like” presents to the user further visual information of the city and the season which it feels like. This could help recollect feelings from an old vacation spot, serve as a guide to possibly the next destination or introduce people to somewhere completely new.
How Swiss schools are using social media, what kind of accounts they have, how many followers, and highlights of the best use of social media in Switzerland.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
Search and Society: Reimagining Information Access for Radical FuturesBhaskar Mitra
The field of Information retrieval (IR) is currently undergoing a transformative shift, at least partly due to the emerging applications of generative AI to information access. In this talk, we will deliberate on the sociotechnical implications of generative AI for information access. We will argue that there is both a critical necessity and an exciting opportunity for the IR community to re-center our research agendas on societal needs while dismantling the artificial separation between the work on fairness, accountability, transparency, and ethics in IR and the rest of IR research. Instead of adopting a reactionary strategy of trying to mitigate potential social harms from emerging technologies, the community should aim to proactively set the research agenda for the kinds of systems we should build inspired by diverse explicitly stated sociotechnical imaginaries. The sociotechnical imaginaries that underpin the design and development of information access technologies needs to be explicitly articulated, and we need to develop theories of change in context of these diverse perspectives. Our guiding future imaginaries must be informed by other academic fields, such as democratic theory and critical theory, and should be co-developed with social science scholars, legal scholars, civil rights and social justice activists, and artists, among others.
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.
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.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
25. Encoding Equations
Building Blocks: + - * / sin cos exp log … etc
f(x)
sin(x2)
*
x1*sin(x2)
– sin (x1 – 3)*sin(x2)
(x1 – 3)*sin(-7 + x2)
x1 3 +
x2 -7
John Koza, 1992
26. +
× sin
1.2 –
x
x 2
Models: Expression trees Experiments: Data-points
Subject to mutation and selection Subject to mutation and selection
{const,+,-,*,/,sin,cos,exp,log,abs}
Michael D. Schmidt, Hod Lipson (2006)
30. Semi-empirical mass formula
Modeling the binding energy of an atomic nucleus
Inferred Formula:
0.39Z 2 17.29( N Z ) 2
EB 14.83 13.43 A 12.39 A 0 .64
0.26 R2 = 0.99944
A A
Weizsäcker’s Formula:
Z Z 1 A 2Z 2 A, Z
E a Aa A a
B V
23
S a C 13 A R2 = 0.999915
A A
0 Z , N even
A, Z 0 A odd 0
aP
A1 2
0 Z , N odd
40. =
=
Blue Dots = data points, Green Line = regressed fit
41. Symbolic Regression Inferred Time-Delay Model:
dK bK cK S
aK
dt K
dS b c K
aS S S
dt S
Biologist’s Inferred Model: Gurol Suel, et. al., Science 2007
dK K K n K K
k n K K
dt k0 K n
1 K / K S / S
dS S k S
S S S
1 K / k1 1 K / K S / S
p
dt
42. Withheld Test Set #1 Fit
dGt 1582.0 17.3214 St 51
16.7423
dt Gt 18
dSt 114.922 0.3019 Gt 25
3.05
dt St 15
43. Withheld Test Set #2 Fit
dGt 3526.92 21.312 St 54
10.1355
dt Gt 17
dSt 132.271 0.0178 Gt 57
2.9693
dt St 18
44. Withheld Test Set #3 Fit
dGt 5057.1 39.7452 St 46
6.4406
dt Gt 21
dSt 295.426 0.2965 Gt 54
3.871
dt St 20
49. Homework
Circle Elliptic Curve Sphere
3 1
3
2
2 0.5
1
1
y 0 y 0
z 0
y
y
z
-1
-1
-2 -0.5
-2
-3
-3 -1
-5 0 5 -2 -1 0 1 2 -1 -0.5 0 0.5 1
x
x x
x
x
x
x2 + y2 – 16 = 0 x3 + x – y2 – 1.5 = 0 x2 + y2 + z2 – 1 = 0
50.
51. Linear Oscillator
2
dx
H 114.28 * 369.495 * x 2
L 61.591 692.322
dt 22
dx
dx
H 114.28 * 692.322 * x 22
L 61.591* 369.495 * x
dt
dt • Coefficients may have different
scales and offsets each run
52. Pendulum
d
2
H
L 2.42847*cos( )
dt
d
2
H 3.52768*
L 9.43429*cos( )
dt
53. Double Linear Oscillator
2 2
dx dx
H 14.691* x 15.551* x 21.676* x1 x2 8.3808* 2 2.6046* 1
2
1
2
2
dt dt
would be plus for Lagrangian
64. Concluding Remarks
Wired 16.07
“ CorrelationScientific Method]with massive
data, [the
is enough. Faced
is becoming
”
Chris Anderson
obsolete. We can stop looking for models.
The data deluge accelerates our ability to
hypothesize, model, and test.
65. Theoretical physicists are not yet obsolete,
but scientists have taken steps toward
replacing themselves
66. The end of insight
I am worried that we have enjoyed a
brief window in human history where we
could actually understand things, but that
period may be coming to an end.
-- Steve Strogatz