The document discusses research challenges and commercialization challenges. It provides definitions of basic research and applied research. It explains the differences between research and development approaches. It outlines typical activity details and timeframes for research processes like establishing context, selecting and designing methods, undertaking research, analysis and validation, and review and evaluation. It also discusses managing researchers, choosing good scientific problems, and MIMOS' role in supporting industry and market creation through technology creation, research, and commercialization.
Selecting the research problem for your doctoral dissertationMaria Sanchez
Criteria for choosing the most promising topic and research problem for your dissertation is presented. This presentation was designed for DoctoralNet.com free conferences.
Scientific writing is not just writing about science; it is the technical writing that scientists do to communicate their research to others. Scientific writing is predicated on the rigors of scientific inquiry, so it must reflect the same precision as that demanded in the research process.
Selecting the research problem for your doctoral dissertationMaria Sanchez
Criteria for choosing the most promising topic and research problem for your dissertation is presented. This presentation was designed for DoctoralNet.com free conferences.
Scientific writing is not just writing about science; it is the technical writing that scientists do to communicate their research to others. Scientific writing is predicated on the rigors of scientific inquiry, so it must reflect the same precision as that demanded in the research process.
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Invited lecture in 117th Orientation Programme of the Human Resource Development Centre (HRDC) , UGC of the University of Calcutta.
Creativity is the basis of our very existence on earth. It is also the precursor of societal progress. The culture of instilling of creativity, invention and innovation makes a society enriched than another society. Valley of Death is an inevitable step that has to pass through every invention before it becomes innovation that diffused to the society in the course of time. Creativity has two dimensions-one is philosophical another is functional. Creativity is based upon novel idea regardless of types and the reason which initiated the process. Even the most novel can not be protected until it is not manifested tangibly. Presentation has focused on four different basic forms of IPR i.e., Patent, Trademark, Industrial Design and copyright with suitable real life examples.
This PPT slide presentation deals with the Meaning of hypothesis, Types of hypothesis, Parameters of a good hypothesis, Importance of hypothesis, Source of hypothesis, Format of hypotheis & Formulation of testable hypothesis.
anything novel created by virtue of your intellectual power can be patented, which will be useful for mankind. this ppt. presents the property which can be patented and how to be patented .
This is lesson 2 of the course on Research Methodology conducted at the Faculty of Social Sciences and Humanities of the Rajarata University of Sri Lanka
What is Research - Importance of Research.pptxJohnLagman3
Research is all about the system in a paper. You do research to a specific problem to have the idea how to solve and what system to use to solve that problem. Research has 2 types: Qualitative and Quantitative Research. Quantitative deals with numbers while Qualitative deals with the structure.
Research, Types and objectives of research Bindu Kshtriya
This presentation is regarding the basics of research method, about the voyage of research, steps included in research, types of research including descriptive, analytical, applied, fundamental, quantitative, qualitative conceptual, empirical historical conclusion oriented etc
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For free research support call - +91 9150929629 / mail to manucriptpedia@gmail.com
For Training/Workshop/Seminars/Conference/Collaboration mail to – manuscriptpedia@gmail.com and director@manuscriptpedia.com (cc to)
Invited lecture in 117th Orientation Programme of the Human Resource Development Centre (HRDC) , UGC of the University of Calcutta.
Creativity is the basis of our very existence on earth. It is also the precursor of societal progress. The culture of instilling of creativity, invention and innovation makes a society enriched than another society. Valley of Death is an inevitable step that has to pass through every invention before it becomes innovation that diffused to the society in the course of time. Creativity has two dimensions-one is philosophical another is functional. Creativity is based upon novel idea regardless of types and the reason which initiated the process. Even the most novel can not be protected until it is not manifested tangibly. Presentation has focused on four different basic forms of IPR i.e., Patent, Trademark, Industrial Design and copyright with suitable real life examples.
This PPT slide presentation deals with the Meaning of hypothesis, Types of hypothesis, Parameters of a good hypothesis, Importance of hypothesis, Source of hypothesis, Format of hypotheis & Formulation of testable hypothesis.
anything novel created by virtue of your intellectual power can be patented, which will be useful for mankind. this ppt. presents the property which can be patented and how to be patented .
This is lesson 2 of the course on Research Methodology conducted at the Faculty of Social Sciences and Humanities of the Rajarata University of Sri Lanka
What is Research - Importance of Research.pptxJohnLagman3
Research is all about the system in a paper. You do research to a specific problem to have the idea how to solve and what system to use to solve that problem. Research has 2 types: Qualitative and Quantitative Research. Quantitative deals with numbers while Qualitative deals with the structure.
Research, Types and objectives of research Bindu Kshtriya
This presentation is regarding the basics of research method, about the voyage of research, steps included in research, types of research including descriptive, analytical, applied, fundamental, quantitative, qualitative conceptual, empirical historical conclusion oriented etc
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.
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.
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.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
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.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
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.
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.
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!
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.
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.
3. +
Research “Misunderstanding”
! How Long Does It Take?
! What’s the Difference Between Masters and PhD?
! Why Problem Definition Takes A Long Time?
! How Do We Manage Researchers?
! Why “Research” Approach is Different From “Development”?
! What are the characteristics of a Good Researcher?
4. +
Scientific Definition of “Research”
! The strict definition of scientific research is performing a methodical
study in order to prove a hypothesis or answer a specific question.
! Finding a definitive answer is the central goal of any experimental
process.
! Research must be systematic and follow a series of steps and a rigid
standard protocol.These rules are broadly similar but may vary slightly
between the different fields of science.
! Scientific research must be organized and undergo planning, including
performing literature reviews of past research and evaluating what
questions need to be answered.
! Any type of ‘real’ research, whether scientific, economic or historical,
requires some kind of interpretation and an opinion from the researcher.
This opinion is the underlying principle, or question, that establishes the
nature and type of experiment.
5. +
Basic research also known as fundamental or pure research is
driven by a scientist’s curiosity or interest in a question. The main
motivation of this type of research is:-
• To expand man’s knowledge of the world and not to invent or
create something new.
• There is no obvious commercial value in research of this type.
Basic science research includes answers to such questions as:
• How did the universe begin?
• How has man evolved over time?
• How does genetic code determine who we are?
• What is the specific genetic code of an earth worm?
• What are protons, neutrons and electrons made of?
What is BASIC Research?
6. +
Applied research is designed to the practical problems that exist
in the modern world, rather than to just acquire knowledge for
knowledge’s sake. One main goal of applied science is to
improve human conditions and make the world a better place.
Applied science may investigate ways to:
• improve agricultural crop production
• get better network throughput
• find alternative routing solutions
• treat or cure a specific disease
• improve the energy efficiency of homes
What is APPLIED Research?
7. Activity Detail Tasks Timeframe
Establish
Context
Literature Review
Problem Definition
Scope of Research
3-6 months
(MSc-PhD)
Select &
Design
Methods
Mathematical Modeling
Simulation
Experimental
3-6 months
Undertake
Research
New mathematical theory
New programming language
New simulation tool
Acquisition and trials test-bed
3-6 months
Analysis &
Validation
Testing of Model 6-12 months
Create Output IP
Thesis
Technical report
3-6 months
Review &
Evaluate
Publication
Conference
VIVA
< 3 months
Note: On average = Masters (2 years to complete) and PhD (3-6 years to complete)
8. How To Choose a Good
Scientific Problem?
[Excerpts from the Article “How To Choose a Good Scientific Problem” by Uri Alon]
9. Choosing good problems is essential for
being a good researcher.
But what is a good problem, and how do
you choose one?
12. +
• A common mistake made in choosing problems is taking the
first problem that comes to mind.
• Since a typical project takes years even it if seems doable in
months, rapid choice leads to much frustration and bitterness
in our profession.
• It takes time to find a good problem, and every week spent in
choosing one can save months or years later on.
In my lab,we have a rule for new students and postdocs:
Do not commit to a problem before 3 months have elapsed.In these 3
months the new student or postdoc reads,discusses,and plans.
The state of mind is focused on being rather than doing.The
temptation to start working arises,but a rule is a rule.After 3 months
(or more),a celebration marks the beginning of the research phase—
with a well-planned project.
Taking time is not always easy.One must be supported to resist the
urge:‘‘Oh,we must produce—let’s not waste time,and start working.’’
TakeYour Time
13. +
• Who decides how to rank the interest of problems? One of the
fundamental aspects of science is that the interest of a
problem is subjective and personal.
• The inner voice can be strengthened and guided if one is
lucky enough to have caring mentors.
• A scientist often needs a supportive environment to begin to
listen to this voice.
The Subjectivity of the Interest
Axis
14. +
Good test:
One way to help listening to the inner voice is to ask:‘‘If I was the
only person on earth,which of these problems would I work on?’’
An honest answer can help minimize compromises.
Another good sign of the inner voice are ideas and questions
that come back again and again to your mind for months or
years.
Another good test:
When asked to describe our research to an acquaintance, how
does it feel to describe each project?
In science, the more you interest yourself, the larger the
probability that you will interest your audience.
The Subjectivity of the Interest
Axis
15. +
The mentors’ task is to support students through the cloud that seems to guard
the entry into the unknown. And, with this schema, we have more space to see
that problem C exists and may be more worthwhile than continuing to plod
toward B.
“Sailing into the unknown again and again takes courage”
The Objective and Nurturing
Schemas of Research
19. Network Model
Traffic Model
Packet Scheduling ModelAlgorithmPerformance Results
Simulation
Scalable, Flexible
Assumptions must be
accurate
Time consuming
Either self-programming
or using simulation tool
Expensive (?)
21. Architecture / Systems / Methods
Intellectual
Properties (IPs)
Masters or PhD
Is it Worth A
22. +
Degree
Masters
PhD
Support testbed setup
Simple experiment and Data Collection
Some simple application programming
Support experimental work (advanced)
Simulation to proof the concept/ideas
Mathematical modeling
Develop Simulation model
Co-generate and test new ideas
Why Do We Need Degree, Masters
and PhD Interns?
24. +
Researchers Expectations
• Breathing space
• Need time to think to be creative.
• Always “Fresh” in new research area
• Knowledge always starts anew in every project.
• Killing Knowledge
• We can kill a Product or Project but be careful in killing
a “Research” since it will “wipe out” knowledge.
• Quest for Knowledge
• Never ending journey to the Frontiers of Knowledge
• Finding new challenges
• Recognition in their area of expertise
25. Light At the End of The Tunnel
“Research”Working with the “Unknown”
“Development”Working with “Known”
PhD is not all about the novelty achieved but it’s the Systematic
Process of Doing Research that’s the utmost important.
33. +
What is Innovation?
Unlike invention, which usually requires a flash of inspiration,
innovation is a process of coordinated activities that, when linked with
identified opportunities, generates new value for the organization and
the customer.
34. +
Global Innovation Index - Ranking
Country 2008-2009 Rank
USA 5.28 1
Germany 4.99 2
UK 4.84 3
Sweden 4.82 4
Singapore 4.81 5
South Korea 4.73 6
Switzerland 4.73 7
Denmark 4.69 8
Japan 4.65 9
Netherlands 4.64 10
Canada 4.63 11
Hong Kong 4.59 12
Finland 4.57 13
… … …
Malaysia 4.06 25
Country 2009-2010 Rank
Iceland 4.86 1
Sweden 4.85 2
Hong Kong 4.83 3
Switzerland 4.82 4
Denmark 4.72 5
Finland 4.66 6
Singapore 4.65 7
Netherlands 4.62 8
New Zealand 4.60 9
Norway 4.59 10
USA 4.57 11
Canada 4.55 12
Japan 4.50 13
… … …
Malaysia 3.77 28
39. +
0 5 10 15 20 25 30 35 40
2008
2009
2010
PCT/WIPO Ranking
MIMOS Other Malaysian Applicants
51%
41% 59%
91%
3,254th(
33rd(
38th(
218(
Patents(
205(
Patents(
30th(
WIPO-World Intellectual Property Organisation
PCT - Patent Cooperation Treaty
302(
Patents(
(186th(!
28th(49%
Helping to Position Malaysia Patent Ranking
at the Global Level
40. +
Driving National Priorities
• Economic Growth
• Competitiveness
• Productivity
• High-income Jobs
• Better Quality-of-Life
Creating the Global Malaysia
Incorporated
45. +
Past Achievements - WiWi Gen 1.5
Launched August 2009
1st Hybrid WiFi/WiMAX at 2.3 GHz
Indoor Model
Supports 802.11 b/g
WiMAX 802.16e
IPv6 and Multicast support
Plug-and-Play
49. +
Bridging the Digital Divide
2012 MIMOS Berhad. All Rights Reserved.
Users
Access Point
Relay
HOT
SPOT
(50-200m)
HOT ZONE
(500m-1km)
Relay Hot Spot
DR-Mesh
METRO NET
(5-10km)
Mesh
Mesh
Mesh Mesh
Mesh
Mesh
PAN Gateway (0-50m)
HOT ZONE
49
50. +
Municipal WiFi@Melaka
MCMC Kampung WiFi@ N. Sembilan
Wifi@GloriaJean’s
Coffee
River Thames
Pekan
Kota
Teriang
Kampung
Puom
Kampung
Kerangai
MIMOS Wireless Deployments
2012 MIMOS Berhad. All Rights Reserved.
51. DEVELOPMENT COMMERCIALISATIONTECHNOLOGY CREATION RESEARCH MARKET
MIMOS
Research & Development
and Technology Transfer
Universities
Research
Institute
Technoprenuers
K-Industries
Partners
Venture Capital
Business Matching
Market Research
Market Research
Taking the Industry Global
52. +MIMOS’ Role in Industry & Market Creation
52
Basic
Research
Applied
Research
Product
Company
System
Integrator
Service
Provider
Market
Creation
Commercial Risk
Technology risk
Riskmagnitude
Critical
Competency
lacking
MIMOS’ Charter:
• IP Creation
• Prototype Development
• Technology Transfer
Commercialization Path:
• Productisation
• Business Planning
• Product Lifecycle
• Manufacturing
• Regulatory Approval
• Branding & Distribution Channel
Inflection Point for
Commercialization
Industry
Gap
55. +Issue #2: Large Domestic Companies Are
Not Product Companies
Domestic
Revenue
Product
Company
Reseller/
Service
Provider
Global/Export
Revenue
System
Integrator
- Not keen to invest in R&D
- Risk averse in new
technology
- Difficulty in justifying new
venture to the Board
Missing
57. +Issue #3: Difficult for Small Local Product
Companies to Engage MNCs
• MNC reluctant to work with non reputable local product
companies
• Sustainability
• Capability
• Branding
• Local product companies has problem to meet the stringent
requirement of MNC
• CMMI
• ISO
• IP protection
58. +
Moving Forward - Do Different
Basic
Research
(Universities)
Applied
Research
Product
Company
(Industry)
System
Integrator
(Industry)
Service
Provider
(Industry)
Market
DEVELOP
• Center of Excellence
• Global IP Protection
• Technology Transfer
NURTURE
WORLD CLASS PRODUCT
• Product development
• Product Lifecycle Mgt
• Manufacturing/Production
Strategies
• Regulatory Approval
TECHVENTURE & INCUBATION
TECH TRANSFER
• Domain expertise
training
GO-TO-MARKET
• Market Proof of Concept/Pilot
• Leverage Government/GLC
procurement process/projects
DRIVE SUPPLY
DRIVE DEMAND
GO GLOBAL
• Channel development
• Business Matching with
MNC and market
60. +
Development
(D)
Stage Activities ~ %
S E
R 100 0
AR 80 20
AT 50 50
PD 10 90
M 0 100
Riskincreases
R – Research
AR – Applied Research
AT – Advanced Technology
PD - Product Development
M - Maintenance
Research to Development Value
Chain