Definition: Sequence, Subsequence, Longest common subsequence.
Example of subsequence.
Using application details.
Lcs algorithm( Brief ).
LCS recursive solution.
Additional Information of lcs simulation.
CODE: LCS-LENGTH(H, Z, m, n).
Example of simulation.
Constructing a LCS
CODE:PRINT-LCS
Definition: Sequence, Subsequence, Longest common subsequence.
Example of subsequence.
Using application details.
Lcs algorithm( Brief ).
LCS recursive solution.
Additional Information of lcs simulation.
CODE: LCS-LENGTH(H, Z, m, n).
Example of simulation.
Constructing a LCS
CODE:PRINT-LCS
The work deals finite frequency H∞ control design for continuous time nonlinear systems, we provide sufficient conditions, ensuring that the closed-loop model is stable. Simulations will be gifted to show level of attenuation that a H∞ lower can be by our method obtained developed where further comparison.
After a long period, I bring you new - fresh Presentation which gives you a brief idea on sub-problem of Dynamic Programming which is called as -"Longest Common Subsequence".I hope this presentation may help to all my viewers....
A Complete Presentation about how to Find a LCS of a given Strings Using LCS algorithm. This PPT contains easiest way to solve LCS problem With example.
Knapsack problem ==>>
Given some items, pack the knapsack to get
the maximum total value. Each item has some
weight and some value. Total weight that we can
carry is no more than some fixed number W.
So we must consider weights of items as well as
their values.
The work deals finite frequency H∞ control design for continuous time nonlinear systems, we provide sufficient conditions, ensuring that the closed-loop model is stable. Simulations will be gifted to show level of attenuation that a H∞ lower can be by our method obtained developed where further comparison.
After a long period, I bring you new - fresh Presentation which gives you a brief idea on sub-problem of Dynamic Programming which is called as -"Longest Common Subsequence".I hope this presentation may help to all my viewers....
A Complete Presentation about how to Find a LCS of a given Strings Using LCS algorithm. This PPT contains easiest way to solve LCS problem With example.
Knapsack problem ==>>
Given some items, pack the knapsack to get
the maximum total value. Each item has some
weight and some value. Total weight that we can
carry is no more than some fixed number W.
So we must consider weights of items as well as
their values.
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Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
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.
The Metaverse and AI: how can decision-makers harness the Metaverse for their...Jen Stirrup
The Metaverse is popularized in science fiction, and now it is becoming closer to being a part of our daily lives through the use of social media and shopping companies. How can businesses survive in a world where Artificial Intelligence is becoming the present as well as the future of technology, and how does the Metaverse fit into business strategy when futurist ideas are developing into reality at accelerated rates? How do we do this when our data isn't up to scratch? How can we move towards success with our data so we are set up for the Metaverse when it arrives?
How can you help your company evolve, adapt, and succeed using Artificial Intelligence and the Metaverse to stay ahead of the competition? What are the potential issues, complications, and benefits that these technologies could bring to us and our organizations? In this session, Jen Stirrup will explain how to start thinking about these technologies as an organisation.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Welcome to the first live UiPath Community Day Dubai! Join us for this unique occasion to meet our local and global UiPath Community and leaders. You will get a full view of the MEA region's automation landscape and the AI Powered automation technology capabilities of UiPath. Also, hosted by our local partners Marc Ellis, you will enjoy a half-day packed with industry insights and automation peers networking.
📕 Curious on our agenda? Wait no more!
10:00 Welcome note - UiPath Community in Dubai
Lovely Sinha, UiPath Community Chapter Leader, UiPath MVPx3, Hyper-automation Consultant, First Abu Dhabi Bank
10:20 A UiPath cross-region MEA overview
Ashraf El Zarka, VP and Managing Director MEA, UiPath
10:35: Customer Success Journey
Deepthi Deepak, Head of Intelligent Automation CoE, First Abu Dhabi Bank
11:15 The UiPath approach to GenAI with our three principles: improve accuracy, supercharge productivity, and automate more
Boris Krumrey, Global VP, Automation Innovation, UiPath
12:15 To discover how Marc Ellis leverages tech-driven solutions in recruitment and managed services.
Brendan Lingam, Director of Sales and Business Development, Marc Ellis
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
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.
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/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
3. Dipta Das
COMMON SUBSEQUENCE
Assume Two Sequence
Sequence Z is a common subsequence of X and Y if Z is a subsequence of both X and Y
Z={ B, C, A} length-3
Z={ B, C, A, B} length-4
Z={ B, C, B} length-3
4. Dipta Das
LONGEST COMMON SUBSEQUENCE
Theorem
Assume:
X=(X1, X2, X3…………………Xn)
Y=(Y1, Y2, Y3…………………Yn)
Any LCS of X and Y is Z, Z=(Z1, Z2,Z3……………..Zn)
IF Then
Xi = Yj Zk=Xi=Yj implies Zk-1 LCS of Xi-1 and Yj – 1
Xi ≠ Yj Zk ≠ Xi implies Zk-1 LCS of Xi-1 and Y
Xi ≠ Yj Zk ≠ Yj implies Zk-1 LCS of Yj-1 and X
7. Dipta Das
LCS EXAMPLE X = {ATGCTTC}
Y = {GCTCA}
A T G C T T C
G
C
T
C
A
1 2 3 4 5 6 7
1
2
3
4
5
Yj
Xi
0
0
8. Dipta Das
LCS EXAMPLE
A T G C T T C
0 0 0 0 0 0 0 0
G 0
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
1 2 3 4 5 6 7
1
2
3
4
5
Yj
Xi
0
0
Z[j,i]
Here I = 1, j = 1
Z[1,1]
9. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCAGA}
Yj
Xi
X Y
A G
Not Match
Maximum of
two box
z[J-1, i] and
[J, i-1]
1 2 3 4 5 6 7
1
2
3
4
5
0
0
Z[1,1]
Z[j-1, i]=Z[1-1, 1]= Z[0,1]
Z[j, i-1]=Z[1, 1-1]= Z[1,0]
10. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y
A G
Not Match
Lets Take from Upper one
Arrow indicate from
where you Take the
maximum.
1 2 3 4 5 6 7
1
2
3
4
5
0
0
11. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCAGA}
Yj
Xi
X Y Max
T G 0
Not Match
Lets Take from left one
Arrow indicate from
where you Take the
maximum.
arrow
1 2 3 4 5 6 7
1
2
3
4
5
0
0
12. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCAGA}
Yj
Xi
X Y Max
G G
Match
arrow
When match arrow will
be diagonal because we
will increment the
value of this cell
Z[i-1, j-1] + 10 = 1
1 2 3 4 5 6 7
1
2
3
4
5
0
0
13. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
G G
Match
arrow
Incremented value X[i-1] Y[j-1]
1 2 3 4 5 6 7
1
2
3
4
5
0
0
Z[I,j] = Z[3,1]
14. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {ACTCAGA}
Yj
Xi
X Y Max
C G 1
Not Match
Lets Take from left one
arrow
1 2 3 4 5 6 7
1
2
3
4
5
0
0
15. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
T G 1
Not Match
Lets Take from left one
arrow
0
0
1 2 3 4 5 6 7
1
2
3
4
5
16. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
T G 1
Not Match
Lets Take from left one
arrow
0
0
1 2 3 4 5 6 7
1
2
3
4
5
17. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
C G 1
Not Match
Lets Take from left one
arrow
1 2 3 4 5 6 7
1
2
3
4
5
0
0
18. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
A C 0
Not Match
Lets Take from left one
arrow
1 2 3 4 5 6 7
1
2
3
4
5
0
0
19. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
A C 0
Not Match
Lets Take from Upper one
arrow
0
0
20. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
G C 1
Not Match
Lets Take from left one
arrow
1 2 3 4 5 6 7
1
2
3
4
5
0
0
21. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1 2
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
C C
Match
arrow
Increment Z[i-1,j-1]
1 2 3 4 5 6 7
1
2
3
4
5
0
0
22. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1 2 2
T 0
C 0
A 0
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
T C 2
Not Match
Lets Take from left one
arrow
1 2 3 4 5 6 7
1
2
3
4
5
0
0
23. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1 2 2 2 2
T 0 0 1 1 2 3 3 3
C 0 0 1 1 2 3 3 4
A 0 1 1 1 2 3 3 4
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
X Y Max
T G 1
Not Match
Lets Take from left one
arrow
In the same way…
1 2 3 4 5 6 7
1
2
3
4
5
0
0
24. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1 2 2 2 2
T 0 0 1 1 2 3 3 3
C 0 0 1 1 2 3 3 4
A 0 1 1 1 2 3 3 4
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
Firstly have to point out
highest value
For left and upper arrow
we will follow the
direction
For diagonal arrow we
will point out the
character for this cell.
1 2 3 4 5 6 7
1
2
3
4
5
25. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1 2 2 2 2
T 0 0 1 1 2 3 3 3
C 0 0 1 1 2 3 3 4
A 0 1 1 1 2 3 3 4
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
LCS Z= G
1 2 3 4 5 6 7
1
2
3
4
5
26. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1 2 2 2 2
T 0 0 1 1 2 3 3 3
C 0 0 1 1 2 3 3 4
A 0 1 1 1 2 3 3 4
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
LCS Z= GC
1 2 3 4 5 6 7
1
2
3
4
5
0
0
27. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1 2 2 2 2
T 0 0 1 1 2 3 3 3
C 0 0 1 1 2 3 3 4
A 0 1 1 1 2 3 3 4
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
LCS Z= GCT
1 2 3 4 5 6 7
1
2
3
4
5
28. Dipta Das
LCS EXAMPLE
Xi A T G C T T C
YJ 0 0 0 0 0 0 0 0
G 0 0 0 1 1 1 1 1
C 0 0 0 1 2 2 2 2
T 0 0 1 1 2 3 3 3
C 0 0 1 1 2 3 3 4
A 0 1 1 1 2 3 3 4
X = {ATGCTTC}
Y = {GCTCA}
Yj
Xi
LCS Z= {GCTC}
1 2 3 4 5 6 7
1
2
3
4
5
0
0