Introduction to innovative problem solving (IMt)

•Download as PPTX, PDF•

0 likes•89 views

This document introduces innovative problem solving. It discusses thinking outside the box, understanding nature and physics, reading technical literature and updates, implementing ideas with passion, testing concepts, and documenting and communicating solutions. The overall goal is to decode the art of innovation by making connections between technologies and deriving new concepts that can solve problems and benefit society.

Engineering

InnoMech Technologies Pvt. Ltd.
Introduction to Innovative
Problem Solving
Date: 03 June 2017 Version 1.0
www.innomechtech.com

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
1. Why and what is innovative problem solving
2. Thinking out of the box
3. Nature and physics
4. Background essentials
5. Read a lot of technical literature
6. Read latest technology updates
7. Implement with passion
8. Put to test
9. Document and communicate
10. Slogan
2
Introduction to Innovative problem solving
Contents

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Why Innovation?
• What is Innovation
• May or May not be patentable but should be able to solve a
given problem (So first problem should be very clear,
vision/focus)
• Internal energy coming out
• Atma Manthan
• Its an art, like a painter uses different shades to draw different
lines and create a masterpiece
• Similarly innovator uses different shapes and technologies to
derive new concepts
• Make a lot of connections wrt. technologies
3
Introduction to Innovative problem solving
Why and what is innovative problem solving

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Always say why not this
• Surfing on the edge and expanding slowing out
• Decoding the art of innovation
4
Introduction to Innovative problem solving
Thinking out of the box

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Similarity and ideas
• Always ask why this and how
• Drop example
• Symmetry examples
• Lightening example
• Audio example
• Even human emotions gives you the way
5
Introduction to Innovative problem solving
Nature and physics

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Know your field
• Know your physics
• How physics describes nature
6
Introduction to Innovative problem solving
Background essentials

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Connect your physics with technology
• Answer What is needed by society?
• Can I give it to them?
• You should even decide what society should want
• Can I show it to them?
7
Introduction to Innovative problem solving
Read a lot of technical literature

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Discuss with like minded people
• Keep an eye out on latest technology and how you can apply it
in your idea
• Surf on the edge of the box
• What is already there
• How to expand
• Connect physics with nature and generate “edge” ideas
8
Introduction to Innovative problem solving
Read latest technology updates

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Why do all this
• What's the gain in terms of technology and society
9
Introduction to Innovative problem solving
Implement with passion

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Does it really work?
• Was it helpful?
• Do a lot of hand calculation and analysis
• Conclude on the output
10
Introduction to Innovative problem solving
Put to test

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
• Write down your thoughts on a scratch paper
• Never throw an idea
• Document your analysis
• Write recommendations
11
Introduction to Innovative problem solving
Document and communicate

Version 1.0
InnoMech Technologies Pvt. Ltd. © All rights reserved
Slogan
• I am the innovator
• I will innovate
• I will understand
• I will expand
• I will implement
12
Thank you!

The document discusses analyzing data from over 1.3 million words of TEDTalk transcripts and millions of user ratings to determine characteristics of the best and worst TED talks. It finds that choosing an interesting topic is important, and that the best talks tend to be about 50% longer than the worst talks. It also notes the importance of visuals and delivery style. The document concludes by advising managers to choose topics of interest to the audience and give the best possible delivery when presenting.

Information literacy: the relevance of theories and models on practice - Jane...

IL Group (CILIP Information Literacy Group)

This document outlines the agenda for a panel discussion on the relevance of theories and models for information literacy practice. The panel will discuss which theories have influenced their teaching, whether institutions should underpin information literacy with theories or models, and the benefits and challenges of using theories. They will also discuss the best ways to learn about and communicate theories to practitioners. The panel consists of five experts who will take questions from the audience on these topics regarding applying information literacy theories in practice.

Building Lean and Agile in the Real World

Kevin Goldsmith

The document discusses lessons learned from implementing lean and agile approaches in three different products or organizations: Microsoft Windows CE.Net Platform Builder, Adobe Revel, and Spotify. For each product, both positive and negative lessons are outlined, such as isolating the effort as an experiment and being careful of early success for Windows, and balancing autonomy and collaboration for Spotify.

Prototype and Test - Lokesh Sahal

Lokesh Sahal

The document presents two prototypes to help a fashion design student with career planning: a personal coaching program and a technological platform for collaboration. Feedback from testing found that the student preferred the technological solution but had concerns about complexity, costs, and implementation. The designer learned they need to enhance prototypes, get additional stakeholder input, and may be able to implement parts of the solutions despite limitations of time, skills, and resources.

TECHNOLOGY FUNDAMENTALS MODULE 1

Margarita Araque

This document provides an overview of the nature of technology. It discusses technology as objects, knowledge, activities, processes, and socio-technical systems. Key points include: - Technology can be defined as objects, the knowledge behind innovations, activities people perform, processes, and the combination of technology within a social system. - Design is central to technology as it involves identifying needs, specifying requirements, generating ideas, selecting a final solution, and evaluating that solution. - Making activities include prototyping, batch production, 3D modeling, and sketching. - Technology requires teamwork across different specializations. - Technology must provide value to consumers through benefits relative to costs. - Technology is shaped by soci

DevOps and the industrial revolution

Jonathan Fletcher

The industrial revolution led to increased specialization of roles and new ways of scaling production through machines. This parallelled modern IT departments where development, operations, security, and other teams worked separately in "silos" with misaligned goals. DevOps aims to improve this by fostering a culture of shared goals, empathy, and transparency between all teams involved in software delivery. It advocates automating processes, empowering cross-functional teams, and breaking down barriers to allow for faster change cycles and better collaboration across roles.

What every successful open source project needs

Steven Francia

In the last few years open source has transformed the software industry. From Android to Wikipedia, open source is everywhere, but how does one succeed in it? While open source projects come in all shapes and sizes and all forms of governance, no matter what kind of project you’re a part of, there are a set of fundamentals that lead to success. I’d like to share some of the lessons I’ve learned from running two of the largest commercial open source projects, Docker and MongoDB, as well as some very successful community projects. This presentation was delievered at sinfo.org in Feb 2015.

The document discusses microlearning and its benefits over traditional training methods. It defines microlearning as short bursts of targeted content that allows learners to immediately apply new knowledge. Microlearning works best when the content is aligned with how work is done and learning naturally occurs. It can be leveraged to achieve sustainable development when the user interface is easy to use and integrated with learning systems, content is produced beyond just traditional developers, and adaptive technologies deliver the right content at the right time. The presentation provides insights into the link between learning science and microlearning and how to create continuous development opportunities with this approach.

Maintaining an Open Source Project

Miguel Ignacio Balparda

An open source project allows anyone to modify and access source code, providing transparency into technical decisions and better understanding of features. The document discusses maintaining the Nexcess_Turpentine open source project, noting its 170 forks, 370 stars, 28 releases, 700 closed issues, 90 closed pull requests, and 17 contributors. It defines issues as a way to report problems or suggestions, and pull requests as proposed solutions created by forking the repository, making changes, and submitting a pull request for review.

Opening up Open Source

Derek Buitenhuis

Do the words 'open source' scare you (or your boss)? Do you want to contibute but don't know how? Did an angry person reply to your email scolding you for top-posting? This talk is for you! It will cover various real world relevant aspects of open source communites and projects, as well as put to rest various bits of FUD (fear, uncertainty, and doubt) that vendors may throw around. It'll cover best practices for interaction and contributing to open source projects and their communities (specific to archival, and also a more general foundation) on issue trackers, mailing lists, etc., with confidence, so that everyone can benefit.

Keynote 1: Teaching and Learning Computational Thinking at Scale

CITE

Computational thinking involves problem formulation, pattern recognition, abstraction, and algorithm design. It is an important 21st century skill and countries are incorporating it into curricula. MOOCs can effectively deliver computational thinking education at scale. HKUST offers MOOCs on Java programming, app development, and engineering design that teach computational thinking concepts. Learning analytics provide insights into how students learn from MOOCs.

Open source

Yin-Ta Pan

Adopting innovation

Shishir Choudhary

Philosophy of Open Source - SFO17-TR01

Linaro

The document discusses the history and philosophy of open source software. It begins by explaining that open source refers to the development methodology, not free software which is a social movement. The origins of open source date back to the 1960s when computer programmers shared source code. However, in the 1980s access to source code became restricted by vendors. This led to the rise of the free software movement and creation of the Free Software Foundation in 1985. In 1998, the Open Source Initiative was formed to promote open source principles to businesses. The document outlines the differences between the goals of OSI and FSF, and describes common open source licenses and development processes like forking.

What is open source?

Ahmet Bulut

Open source refers to the process by which software is created, not the software itself. The open source process involves voluntary participation where anyone can contribute code freely and choose what tasks to work on. It relies on collaboration between many developers worldwide who are motivated to scratch an itch, avoid reinventing the wheel, solve problems in parallel, and leverage the law of large numbers through continuous beta testing. Documentation and frequent releases are also important aspects of open source development.

22-prompt engineering noted slide shown.pdf

203318pmpc

Dancing for a product release

Laurent Cerveau

This document discusses best practices for managing product releases and software engineering teams. It provides the following recommendations: 1) Establish clear processes for releases, including regular intervals, versioning, distribution, and metrics to measure success. Ensure everyone understands their role in the release cycle. 2) Use the Dreyfus model of skill acquisition to balance team skills and experience levels. Recruit for "smart and get things done" attitudes. Apply practices according to where the team stands. 3) Automate aspects like releases, reporting, and testing when possible, but also retain some manual processes to aid understanding of what to automate. Team learning takes time.

Building innovative products

Shishir Choudhary

stackconf 2023 | Open-Source: Open Choice – A DevOps Guide for OSS Adoption b...

NETWAYS

Choosing the right open-source project to use can be quite challenging – not knowing if it’s going to be the right fit, how it will behave, and if you end up wasting time trying to make it all work. We’ve all been there. But what if I told you there’s a practical way to have a clear understanding of how to incorporate an OSS project in your environment? In this talk, I’m going to speak about the DevOps perspective on open-source and the challenges Infra-focused engineers have with choosing the right project for their environment. As a DevOps Engineer, I’ve seen a lot of things, stumbled upon a lot of non-based decisions, and so will present practical advice on how to choose an OSS project for your dev/prod environment and will talk about the business mindset you should have to evaluate the key indicators based on your needs and specific pain points.

The impact of technology on society - how to become a responsible designer of...

SURF Events

In deze sessie zullen Jo-An en John het hebben over waarom het belangrijk is om na te denken over de impact van technologie op mens en maatschappij (en hoe we die gedachten naar de praktijk kunnen brengen). We bekijken technologie niet alleen vanuit een dystopisch perspectief (wat er mogelijk mis kan gaan) maar ook vanuit een utopisch perspectief (hoe we de samenleving beter kunnen betrekken bij de technologie die we ontwerpen of gebruiken). We bespreken onder andere de Technology Impact Cycle Tool, ontwikkeld door Fontys, die je na de sessie direct kunt gebruiken in je eigen beroepspraktijk. (Deze sessie is in het Engels.)

Open Source For Dummies By Kinshuk Sunil

OSSCube

This document summarizes an open source presentation about what open source is and why you should care about it. Open source refers to software where the source code is publicly available and can be modified and shared by anyone. Key benefits of open source include the ability to share programs, collaborate on development, get better quality software with fewer bugs, and create new business opportunities. However, open source may come with higher integration and maintenance costs. The presentation encourages learning more about the open source definition and debates around open source use cases.

AI Is My Co-Pilot - DevWeek17

Builtio

Welcometo imscomputers7

Anne Asplund

This document provides an orientation for a technology class, outlining what students will learn and the procedures they will follow. The class will use project-based learning, with students given tasks to complete using various tools taught by the teacher. Students will be evaluated based on completion of projects rather than grades. The orientation covers topics like computer ethics and digital citizenship that will be covered throughout the class.

the_pragmatic_programmer_ch.1.pptx

OguzDuman

The document summarizes key points from Chapter 1 of "The Pragmatic Programmer" about taking responsibility, instigating change, and effective communication. It discusses strategies like admitting mistakes, preventing software entropy, catalyzing change gradually like "stone soup", knowing when software is "good enough", maintaining a knowledge portfolio, and tips for communication like knowing your audience and involving them.

Involving communities in IoT EU Projects

Charalampos Doukas

The document discusses best practices for involving IoT communities in European IoT projects. It defines IoT communities as individuals who share interests in connected technologies and tools for building connected products. While industry and research are important, IoT communities have been driving innovation through many grassroots DIY projects. However, EU projects often fail to engage these communities. The document suggests identifying local IoT meetups and attending maker events to involve communities from the start of projects. Communities should be engaged in defining use cases, requirements and evaluations. Projects should make data and code open to facilitate collaboration on shared challenges.

OSMC 2022 | Open Source: Open Choice – A DevOps Guide for OSS Adoption by Hil...

NETWAYS

Choosing the right open source project to use can be quite challenging – not knowing if it’s going to be the right fit, how it will behave, and if you end up wasting time trying to make it all work. We’ve all been there. But what if I told you there’s a practical way to have a clear understanding of how to incorporate an OSS project in your environment? In this talk, I’m going to speak about the DevOps perspective on open source and the challenges Infra-focused engineers have with choosing the right project for their environment. As a DevOps Engineer, I’ve seen a lot of things, stumbled upon a lot of non-based decisions, and so will present practical advice on how to choose an OSS project for your dev/prod environment and will talk about the business mindset you should have to evaluate the key indicators based on your needs and specific pain points.

Data Control Language.pptx Data Control Language.pptx

ramrag33

ITSM Integration with MuleSoft.pptx

VANDANAMOHANGOUDA

Sinan KOZAK

Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.

Embedded machine learning-based road conditions and driving behavior monitoring

IJECEIAES

Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.

Applications of artificial Intelligence in Mechanical Engineering.pdf

Atif Razi

Historically, mechanical engineering has relied heavily on human expertise and empirical methods to solve complex problems. With the introduction of computer-aided design (CAD) and finite element analysis (FEA), the field took its first steps towards digitization. These tools allowed engineers to simulate and analyze mechanical systems with greater accuracy and efficiency. However, the sheer volume of data generated by modern engineering systems and the increasing complexity of these systems have necessitated more advanced analytical tools, paving the way for AI. AI offers the capability to process vast amounts of data, identify patterns, and make predictions with a level of speed and accuracy unattainable by traditional methods. This has profound implications for mechanical engineering, enabling more efficient design processes, predictive maintenance strategies, and optimized manufacturing operations. AI-driven tools can learn from historical data, adapt to new information, and continuously improve their performance, making them invaluable in tackling the multifaceted challenges of modern mechanical engineering.

Rainfall intensity duration frequency curve statistical analysis and modeling...

bijceesjournal

Using data from 41 years in Patna’ India’ the study’s goal is to analyze the trends of how often it rains on a weekly, seasonal, and annual basis (1981−2020). First, utilizing the intensity-duration-frequency (IDF) curve and the relationship by statistically analyzing rainfall’ the historical rainfall data set for Patna’ India’ during a 41 year period (1981−2020), was evaluated for its quality. Changes in the hydrologic cycle as a result of increased greenhouse gas emissions are expected to induce variations in the intensity, length, and frequency of precipitation events. One strategy to lessen vulnerability is to quantify probable changes and adapt to them. Techniques such as log-normal, normal, and Gumbel are used (EV-I). Distributions were created with durations of 1, 2, 3, 6, and 24 h and return times of 2, 5, 10, 25, and 100 years. There were also mathematical correlations discovered between rainfall and recurrence interval. Findings: Based on findings, the Gumbel approach produced the highest intensity values, whereas the other approaches produced values that were close to each other. The data indicates that 461.9 mm of rain fell during the monsoon season’s 301st week. However, it was found that the 29th week had the greatest average rainfall, 92.6 mm. With 952.6 mm on average, the monsoon season saw the highest rainfall. Calculations revealed that the yearly rainfall averaged 1171.1 mm. Using Weibull’s method, the study was subsequently expanded to examine rainfall distribution at different recurrence intervals of 2, 5, 10, and 25 years. Rainfall and recurrence interval mathematical correlations were also developed. Further regression analysis revealed that short wave irrigation, wind direction, wind speed, pressure, relative humidity, and temperature all had a substantial influence on rainfall. Originality and value: The results of the rainfall IDF curves can provide useful information to policymakers in making appropriate decisions in managing and minimizing floods in the study area.

Design and optimization of ion propulsion drone

bjmsejournal

Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.

Software Quality Assurance-se412-v11.ppt

TaghreedAltamimi

Curve Fitting in Numerical Methods Regression

Nada Hikmah

Recently uploaded (20)

Data Control Language.pptx Data Control Language.pptx

ITSM Integration with MuleSoft.pptx

Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...

Manufacturing Process of molasses based distillery ppt.pptx

4. Mosca vol I -Fisica-Tipler-5ta-Edicion-Vol-1.pdf

An improved modulation technique suitable for a three level flying capacitor ...

Engineering Drawings Lecture Detail Drawings 2014.pdf

Comparative analysis between traditional aquaponics and reconstructed aquapon...

Software Engineering and Project Management - Introduction, Modeling Concepts...

LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant

Data Driven Maintenance | UReason Webinar

132/33KV substation case study Presentation

cnn.pptx Convolutional neural network used for image classication

Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024

Embedded machine learning-based road conditions and driving behavior monitoring

Applications of artificial Intelligence in Mechanical Engineering.pdf

Rainfall intensity duration frequency curve statistical analysis and modeling...

Design and optimization of ion propulsion drone

Software Quality Assurance-se412-v11.ppt

Curve Fitting in Numerical Methods Regression

Introduction to innovative problem solving (IMt)

1. InnoMech Technologies Pvt. Ltd. Introduction to Innovative Problem Solving Date: 03 June 2017 Version 1.0 www.innomechtech.com

2. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved 1. Why and what is innovative problem solving 2. Thinking out of the box 3. Nature and physics 4. Background essentials 5. Read a lot of technical literature 6. Read latest technology updates 7. Implement with passion 8. Put to test 9. Document and communicate 10. Slogan 2 Introduction to Innovative problem solving Contents

3. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Why Innovation? • What is Innovation • May or May not be patentable but should be able to solve a given problem (So first problem should be very clear, vision/focus) • Internal energy coming out • Atma Manthan • Its an art, like a painter uses different shades to draw different lines and create a masterpiece • Similarly innovator uses different shapes and technologies to derive new concepts • Make a lot of connections wrt. technologies 3 Introduction to Innovative problem solving Why and what is innovative problem solving

4. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Always say why not this • Surfing on the edge and expanding slowing out • Decoding the art of innovation 4 Introduction to Innovative problem solving Thinking out of the box

5. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Similarity and ideas • Always ask why this and how • Drop example • Symmetry examples • Lightening example • Audio example • Even human emotions gives you the way 5 Introduction to Innovative problem solving Nature and physics

6. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Know your field • Know your physics • How physics describes nature 6 Introduction to Innovative problem solving Background essentials

7. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Connect your physics with technology • Answer What is needed by society? • Can I give it to them? • You should even decide what society should want • Can I show it to them? 7 Introduction to Innovative problem solving Read a lot of technical literature

8. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Discuss with like minded people • Keep an eye out on latest technology and how you can apply it in your idea • Surf on the edge of the box • What is already there • How to expand • Connect physics with nature and generate “edge” ideas 8 Introduction to Innovative problem solving Read latest technology updates

9. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Why do all this • What's the gain in terms of technology and society 9 Introduction to Innovative problem solving Implement with passion

10. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Does it really work? • Was it helpful? • Do a lot of hand calculation and analysis • Conclude on the output 10 Introduction to Innovative problem solving Put to test

11. Version 1.0 InnoMech Technologies Pvt. Ltd. © All rights reserved • Write down your thoughts on a scratch paper • Never throw an idea • Document your analysis • Write recommendations 11 Introduction to Innovative problem solving Document and communicate

Introduction to innovative problem solving (IMt)

Recommended

Recommended

More Related Content

Similar to Introduction to innovative problem solving (IMt)

Similar to Introduction to innovative problem solving (IMt) (20)

Recently uploaded

Recently uploaded (20)

Introduction to innovative problem solving (IMt)