Joe, an engineer at NASA, is assigned to lead a new mission to Mars. He wants to re-use a design from a previous Mars mission he worked on 6 years ago. However, when Joe tries searching legacy systems to find information from the past mission, he faces barriers like expired permissions and unavailable archives. Joe is only able to find partial information that does not provide the full context he needs. As a result, Joe's team wastes time and money pursuing a flawed design approach. In an alternate scenario where NASA has a robust knowledge management system, Joe is able to easily find and share all relevant information from the past mission, including reviews that identified issues. This helps Joe and his team learn from past experiences and avoid
1st Primary School of Sitia-Erasmus +- Παρουσίαση Υποδοχήςmari kou
The document welcomes European people to several locations including Santa Margherita Ligure in Italy, Newry in Ireland, Pilar de la Horadada in Spain, Turku in Finland, and Sitia in Greece. It also mentions the Erasmus+ K2 program.
Hi semua, terima kasih sudah berkunjung kesini 😆 Semua file yang diupload adalah materi perkuliahan. Nah... materi ini dari dosen yang dikhususkan untuk teman-teman kelas #manabeve 💚
Biar gampang diakses, yah masukin sini aja kan😆 Sekalian membantu kalian yang mungkin butuh beberapa konten dalam file-file ini.
Jangan lupa di like yah 💙 Kalau mau dishare atau didownload PLEASE MINTA IZIN dulu oke??
Biar ngga salah paham cuy😆
ASK FOR PERMISSION ▶ itsmeroses@mail.ru
Kalau kesulitan untuk mendownload FEEL FREE untuk email ke aku🔝🔝🔝🔝
[DISCLAIMER] Mohon banget kalau udah didownload. Kemuadian ingin dijadikan materi atau referensi. Jangan lupa cantumkan sumbernya. Terima kasih atas pengertiannya💖
------------------------------------------------------------
Materi details :
Coming Soon ")
------------------------------------------------------------
MEET CLASS FELLAS💚
Instagram ▶ https://www.instagram.com/manabeve
Blog ▶ https://manabeve.blogspot.com
Email ▶ manabeve@gmail.com
------------------------------------------------------------
LET'S BECOME FRIENDS WITH ME💜
Instagram ▶ https://www.instagram.com/ameldiana3
Twitter ▶ https://www.twitter.com/amlediana3
A review on microencapsulation of fish oil to improve oxidative stability Ashish Gadhave
Fish oil is the lipid fraction extracted from fish and fish by-products. Currently, the production of fish oil is becoming more demanding as there is a sizeable and growing world market demand for high quality fish oils. The most important constituents of fish oils are the omega-3 fatty acids such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). These fatty acids are precursors of eicosanoids that helps to alleviate inflammation in the body and also have other health benefits. Lipid oxidation products are known to be health hazards because they are associated with aging, membrane damage, heart disease and cancer. However, fortification of foods with these nutraceuticals is confined because of extreme sensitivity of PUFA to oxidation and consequent formation of toxic hydroperoxides during the manufacture and storage. This article reviews the microencapsulation, very useful technology, of PUFA within microcarriers to retard the oxidation by minimizing the access of undesirable factors. Various techniques are being employed to form microcapsules, such as extrusion coating, fluidized-bed coating, spray drying, liposome entrapment, coacervation, inclusion complexation, centrifugal extrusion, and rotational suspension separation. Dried microencapsulated fish oil (DMFO) exists in powder form, which can easily be applied to instant powder products. There are many food products in which DMFO can easily and safely be incorporated like bread, biscuits, cakes, diet powder, fruit bars, milk powder etc.
1st Primary School of Sitia-Erasmus +- Παρουσίαση Υποδοχήςmari kou
The document welcomes European people to several locations including Santa Margherita Ligure in Italy, Newry in Ireland, Pilar de la Horadada in Spain, Turku in Finland, and Sitia in Greece. It also mentions the Erasmus+ K2 program.
Hi semua, terima kasih sudah berkunjung kesini 😆 Semua file yang diupload adalah materi perkuliahan. Nah... materi ini dari dosen yang dikhususkan untuk teman-teman kelas #manabeve 💚
Biar gampang diakses, yah masukin sini aja kan😆 Sekalian membantu kalian yang mungkin butuh beberapa konten dalam file-file ini.
Jangan lupa di like yah 💙 Kalau mau dishare atau didownload PLEASE MINTA IZIN dulu oke??
Biar ngga salah paham cuy😆
ASK FOR PERMISSION ▶ itsmeroses@mail.ru
Kalau kesulitan untuk mendownload FEEL FREE untuk email ke aku🔝🔝🔝🔝
[DISCLAIMER] Mohon banget kalau udah didownload. Kemuadian ingin dijadikan materi atau referensi. Jangan lupa cantumkan sumbernya. Terima kasih atas pengertiannya💖
------------------------------------------------------------
Materi details :
Coming Soon ")
------------------------------------------------------------
MEET CLASS FELLAS💚
Instagram ▶ https://www.instagram.com/manabeve
Blog ▶ https://manabeve.blogspot.com
Email ▶ manabeve@gmail.com
------------------------------------------------------------
LET'S BECOME FRIENDS WITH ME💜
Instagram ▶ https://www.instagram.com/ameldiana3
Twitter ▶ https://www.twitter.com/amlediana3
A review on microencapsulation of fish oil to improve oxidative stability Ashish Gadhave
Fish oil is the lipid fraction extracted from fish and fish by-products. Currently, the production of fish oil is becoming more demanding as there is a sizeable and growing world market demand for high quality fish oils. The most important constituents of fish oils are the omega-3 fatty acids such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). These fatty acids are precursors of eicosanoids that helps to alleviate inflammation in the body and also have other health benefits. Lipid oxidation products are known to be health hazards because they are associated with aging, membrane damage, heart disease and cancer. However, fortification of foods with these nutraceuticals is confined because of extreme sensitivity of PUFA to oxidation and consequent formation of toxic hydroperoxides during the manufacture and storage. This article reviews the microencapsulation, very useful technology, of PUFA within microcarriers to retard the oxidation by minimizing the access of undesirable factors. Various techniques are being employed to form microcapsules, such as extrusion coating, fluidized-bed coating, spray drying, liposome entrapment, coacervation, inclusion complexation, centrifugal extrusion, and rotational suspension separation. Dried microencapsulated fish oil (DMFO) exists in powder form, which can easily be applied to instant powder products. There are many food products in which DMFO can easily and safely be incorporated like bread, biscuits, cakes, diet powder, fruit bars, milk powder etc.
The document discusses the four types of sentences: declarative, imperative, exclamatory, and interrogative. It provides examples of each type and has the reader practice identifying different sentences. It encourages using a variety of sentence structures to make writing more interesting.
Kode etik jurnalistik berfungsi sebagai pedoman bagi wartawan dalam menjalankan tugasnya untuk menjaga nama baik dunia pers dan mengatur hubungan antara masyarakat dengan wartawan serta tata cara memperoleh dan menyajikan berita secara adil dan seimbang.
PCR (polymerase chain reaction) is an in vitro technique used to amplify a specific region of DNA across several orders of magnitude, generating thousands to millions of copies of a particular DNA sequence. It involves repeated cycles of heating and cooling of the DNA sample to separate the DNA strands and allow primers to anneal, followed by extension of the primers by a thermostable DNA polymerase. Kary Mullis developed PCR in 1985 and was awarded the Nobel Prize for Chemistry in 1993. Requirements for PCR include a DNA template, primers, Taq polymerase enzyme, dNTPs, buffer solution and magnesium ions. There are several applications and variations of PCR including quantitative real-time PCR, reverse transcription PCR, and inverse PCR.
Ringkasan dokumen tersebut adalah sebagai berikut:
1. SBAR merupakan format komunikasi yang awalnya dikembangkan untuk militer dan industri penerbangan untuk mengurangi risiko kesalahan informasi.
2. SBAR digunakan untuk meningkatkan efektivitas komunikasi antar tenaga kesehatan dengan memberikan informasi yang jelas tentang kondisi pasien.
3. Format SBAR terdiri dari empat bagian yaitu Situasi, Latar Belakang
Rencana pembelajaran ini membahas pengajaran sistem persamaan linier dua variabel dan penerapannya dalam pemecahan masalah program linier selama 3 minggu. Materi akan mengajarkan konsep dasar sistem persamaan linier, metode penyelesaiannya seperti metode grafik, serta penerapannya dalam menentukan nilai optimum menggunakan fungsi objektif.
PCR : Polymerase chain reaction : classique et en temps réelNadia Terranti
la PCR comme outil en biologie moléculaire .
PCR : Déroulement, optimisation, limites , inconvénients et variantes.
PCR en temps réel et chimies de détéction
PCR quantitative
Graham Thomas - 10 Great but Now Overlooked Tools - EuroSTAR 2012TEST Huddle
EuroSTAR Software Testing Conference 2012 presentation on 10 Great but Now Overlooked Tools by Graham Thomas. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Q-Ball is a concept that uses computer vision and natural language processing to track objects tagged with personalized labels ("facetags") in a workspace, in order to help users locate items later by voice command. It aims to leverage people's existing behaviors rather than requiring new gestures, allowing a computer system to better understand an individual's workflow over time through pattern recognition. A prototype demonstration shows how Q-Ball can use face tracking on post-it note facetags to locate and highlight the last known positions of important documents for a messy worker named Bob.
The document discusses natural semantics for a robot, where the robot can acquire and maintain meanings for itself through interaction with its environment, rather than just providing pre-programmed responses. It notes that reinforcement learning may allow a robot to develop a rudimentary natural semantic system. The document also describes Cohen's robot project, which uses clustering of sensor experiences to develop prototypes of activities and can plan goals, but is still missing an understanding of roles and representing experiences as interactions between entities.
This document provides several personal examples of the author's early experiences with human-computer interaction from 1967-1973. It describes his first programming experiences using SNOBOL and accidentally exceeding his account limit. It also discusses early projects involving simulations and experiments, challenges working with outside programmers, debugging issues, and gaining a deeper understanding of computer hardware through courses on the PDP-8 architecture.
The document provides information on various topics related to artificial intelligence including:
- Examples of intelligence such as solving puzzles, performing complex math problems quickly, and following rules.
- Definitions of AI from early researchers such as John McCarthy who coined the term, and descriptions of AI as the study of intelligent behavior in machines.
- Key areas of AI research and applications such as game playing, reasoning, learning, robotics, and machine learning.
- Approaches to problem solving in AI like state space search, knowledge representation, and using heuristics to guide searches.
1) The document discusses a project to create a range of motion concept using the Kinect sensor to allow those with limited mobility to fully use the sensor's capabilities.
2) The creator installed the Kinect on their PC and found code to manipulate the sensor's data streams and position. Research suggests shadows cause holes in body recognition images.
3) Moving forward, the creator plans to continue studying code repositories to build on existing work rather than reinventing solutions. They also want to explore changing the sensor's angle and light source to independently recognize a body in a wheelchair.
This document provides instructions for building a robot with characteristics similar to those depicted in science fiction. It describes including an artificial neural network to allow the robot to learn on its own from its environment and experiences. The robot would use a camera and laser scanner to recognize objects, comparing images to a vast database. An artificial neural network that rewires itself as the robot learns tasks is proposed to provide intelligent decision making. The goal is not to create a robot more powerful than humans, but one that can function autonomously using intelligent recognition and learning abilities.
'10 Great but now Overlooked Tools' by Graham ThomasTEST Huddle
The idea for this presentation came directly from EuroSTAR 2011. Sitting on the bus back to the conference centre after attending the Gala Dinner, a discussion started, about industry luminaries who turn up at conferences and give presentations which roughly say "Don't do all the stuff that I told you to do 5 years ago! Do this stuff now." But, but, but . . . .
As we got talking I realised how many simple effective tools I no longer used, because they have either become overlooked, forgotten and thus fallen into disuse, or because modern methods claim not to need them and they are redundant. I wondered if any of them were worth looking at again - starting with my trusty flowcharting template; I realised it is a great tool which I have overlooked for far too long!
Here is my list of 10 great but now overlooked tools:
• Flowcharts
• Prototypes
• Project Plans
• Mind Maps
• Tools we already have at our disposal like ....
• Aptitude Tests
• Hexadecimal Calculators
• Desk Checking
• Data Dictionaries and Workbenches
This is my list of really useful tools that I think are overlooked. In the webinar I will outline each tool, why I think it was great, and what we are missing out by not using it.
And it naturally follows that if there are some tools we have overlooked then there are also some tools that we should get rid of! I will identify some.
Hopefully this webinar will give you a different perspective on tools to use for testing, some tools that may be improved upon or plain discarded, and help you think about the tools you currently use and maybe to view them in a different light.
A multi-picture challenge for theories of visionAaron Sloman
(Modified 7th June 2013 to include some droodles.)
Some informal experiments are presented whose results help to challenge most theories of vision and proposed mechanisms of vision.
A possible explanatory information-processing architecture is proposed, based on multiple dynamical systems, grown during an individual's life time, most of which are dormant most of the time, but which can be very rapidly activated and instantiated so as to build a multi-ontology interpretation of the currently, and recently, available visual information -- e.g. turning a corner into a busy street in an unfamiliar city. As far as I know, there is no working implementation of such a system, though a very early prototype called Popeye (implemented in Pop2) around 1976 is summarised. Many hard unsolved problems remain, though most of them are ignored by research on vision that makes narrow assumptions about the functions of biological vision.
Achieving true interoperability is hard, but it's both necessary and worthwhile to take the time to form the specifications, requirements, and documentation that outlines the methods and means for integration activities... unless you want to end up like Joe.
The document discusses artificial intelligence (AI) and summarizes key points in 3 sentences:
AI is defined as making computers do things that people currently do better. Research in AI spans a broad range of problems from perception and natural language to games, mathematics, and expert tasks. Effective AI techniques exploit organized knowledge that can be easily modified and used flexibly to reduce its own volume.
The document contains instructions and reference materials for an Arts and Bots design notebook belonging to Rebekah May, including quick references for different outputs like lights and motors, inputs like sensors, and examples of design worksheets for developing a robot project to create a robot named Marco that has lights, spinning pom poms, and a sound sensor.
Outrageous ideas for Graph Databases
Almost every graph database vendor raised money in 2021. I am glad they did, because they are going to need the money. Our current Graph Databases are terrible and need a lot of work. There I said it. It's the ugly truth in our little niche industry. That's why despite waiting for over a decade for the "Year of the Graph" to come we still haven't set the world on fire. Graph databases can be painfully slow, they can't handle non-graph workloads, their APIs are clunky, their query languages are either hard to learn or hard to scale. Most graph projects require expert shepherding to succeed. 80% of the work takes 20% of the time, but that last 20% takes forever. The graph database vendors optimize for new users, not grizzly veterans. They optimize for sales not solutions. Come listen to a Rant by an industry OG on where we could go from here if we took the time to listen to the users that haven't given up on us yet.
The document discusses the four types of sentences: declarative, imperative, exclamatory, and interrogative. It provides examples of each type and has the reader practice identifying different sentences. It encourages using a variety of sentence structures to make writing more interesting.
Kode etik jurnalistik berfungsi sebagai pedoman bagi wartawan dalam menjalankan tugasnya untuk menjaga nama baik dunia pers dan mengatur hubungan antara masyarakat dengan wartawan serta tata cara memperoleh dan menyajikan berita secara adil dan seimbang.
PCR (polymerase chain reaction) is an in vitro technique used to amplify a specific region of DNA across several orders of magnitude, generating thousands to millions of copies of a particular DNA sequence. It involves repeated cycles of heating and cooling of the DNA sample to separate the DNA strands and allow primers to anneal, followed by extension of the primers by a thermostable DNA polymerase. Kary Mullis developed PCR in 1985 and was awarded the Nobel Prize for Chemistry in 1993. Requirements for PCR include a DNA template, primers, Taq polymerase enzyme, dNTPs, buffer solution and magnesium ions. There are several applications and variations of PCR including quantitative real-time PCR, reverse transcription PCR, and inverse PCR.
Ringkasan dokumen tersebut adalah sebagai berikut:
1. SBAR merupakan format komunikasi yang awalnya dikembangkan untuk militer dan industri penerbangan untuk mengurangi risiko kesalahan informasi.
2. SBAR digunakan untuk meningkatkan efektivitas komunikasi antar tenaga kesehatan dengan memberikan informasi yang jelas tentang kondisi pasien.
3. Format SBAR terdiri dari empat bagian yaitu Situasi, Latar Belakang
Rencana pembelajaran ini membahas pengajaran sistem persamaan linier dua variabel dan penerapannya dalam pemecahan masalah program linier selama 3 minggu. Materi akan mengajarkan konsep dasar sistem persamaan linier, metode penyelesaiannya seperti metode grafik, serta penerapannya dalam menentukan nilai optimum menggunakan fungsi objektif.
PCR : Polymerase chain reaction : classique et en temps réelNadia Terranti
la PCR comme outil en biologie moléculaire .
PCR : Déroulement, optimisation, limites , inconvénients et variantes.
PCR en temps réel et chimies de détéction
PCR quantitative
Graham Thomas - 10 Great but Now Overlooked Tools - EuroSTAR 2012TEST Huddle
EuroSTAR Software Testing Conference 2012 presentation on 10 Great but Now Overlooked Tools by Graham Thomas. See more at: http://conference.eurostarsoftwaretesting.com/past-presentations/
Q-Ball is a concept that uses computer vision and natural language processing to track objects tagged with personalized labels ("facetags") in a workspace, in order to help users locate items later by voice command. It aims to leverage people's existing behaviors rather than requiring new gestures, allowing a computer system to better understand an individual's workflow over time through pattern recognition. A prototype demonstration shows how Q-Ball can use face tracking on post-it note facetags to locate and highlight the last known positions of important documents for a messy worker named Bob.
The document discusses natural semantics for a robot, where the robot can acquire and maintain meanings for itself through interaction with its environment, rather than just providing pre-programmed responses. It notes that reinforcement learning may allow a robot to develop a rudimentary natural semantic system. The document also describes Cohen's robot project, which uses clustering of sensor experiences to develop prototypes of activities and can plan goals, but is still missing an understanding of roles and representing experiences as interactions between entities.
This document provides several personal examples of the author's early experiences with human-computer interaction from 1967-1973. It describes his first programming experiences using SNOBOL and accidentally exceeding his account limit. It also discusses early projects involving simulations and experiments, challenges working with outside programmers, debugging issues, and gaining a deeper understanding of computer hardware through courses on the PDP-8 architecture.
The document provides information on various topics related to artificial intelligence including:
- Examples of intelligence such as solving puzzles, performing complex math problems quickly, and following rules.
- Definitions of AI from early researchers such as John McCarthy who coined the term, and descriptions of AI as the study of intelligent behavior in machines.
- Key areas of AI research and applications such as game playing, reasoning, learning, robotics, and machine learning.
- Approaches to problem solving in AI like state space search, knowledge representation, and using heuristics to guide searches.
1) The document discusses a project to create a range of motion concept using the Kinect sensor to allow those with limited mobility to fully use the sensor's capabilities.
2) The creator installed the Kinect on their PC and found code to manipulate the sensor's data streams and position. Research suggests shadows cause holes in body recognition images.
3) Moving forward, the creator plans to continue studying code repositories to build on existing work rather than reinventing solutions. They also want to explore changing the sensor's angle and light source to independently recognize a body in a wheelchair.
This document provides instructions for building a robot with characteristics similar to those depicted in science fiction. It describes including an artificial neural network to allow the robot to learn on its own from its environment and experiences. The robot would use a camera and laser scanner to recognize objects, comparing images to a vast database. An artificial neural network that rewires itself as the robot learns tasks is proposed to provide intelligent decision making. The goal is not to create a robot more powerful than humans, but one that can function autonomously using intelligent recognition and learning abilities.
'10 Great but now Overlooked Tools' by Graham ThomasTEST Huddle
The idea for this presentation came directly from EuroSTAR 2011. Sitting on the bus back to the conference centre after attending the Gala Dinner, a discussion started, about industry luminaries who turn up at conferences and give presentations which roughly say "Don't do all the stuff that I told you to do 5 years ago! Do this stuff now." But, but, but . . . .
As we got talking I realised how many simple effective tools I no longer used, because they have either become overlooked, forgotten and thus fallen into disuse, or because modern methods claim not to need them and they are redundant. I wondered if any of them were worth looking at again - starting with my trusty flowcharting template; I realised it is a great tool which I have overlooked for far too long!
Here is my list of 10 great but now overlooked tools:
• Flowcharts
• Prototypes
• Project Plans
• Mind Maps
• Tools we already have at our disposal like ....
• Aptitude Tests
• Hexadecimal Calculators
• Desk Checking
• Data Dictionaries and Workbenches
This is my list of really useful tools that I think are overlooked. In the webinar I will outline each tool, why I think it was great, and what we are missing out by not using it.
And it naturally follows that if there are some tools we have overlooked then there are also some tools that we should get rid of! I will identify some.
Hopefully this webinar will give you a different perspective on tools to use for testing, some tools that may be improved upon or plain discarded, and help you think about the tools you currently use and maybe to view them in a different light.
A multi-picture challenge for theories of visionAaron Sloman
(Modified 7th June 2013 to include some droodles.)
Some informal experiments are presented whose results help to challenge most theories of vision and proposed mechanisms of vision.
A possible explanatory information-processing architecture is proposed, based on multiple dynamical systems, grown during an individual's life time, most of which are dormant most of the time, but which can be very rapidly activated and instantiated so as to build a multi-ontology interpretation of the currently, and recently, available visual information -- e.g. turning a corner into a busy street in an unfamiliar city. As far as I know, there is no working implementation of such a system, though a very early prototype called Popeye (implemented in Pop2) around 1976 is summarised. Many hard unsolved problems remain, though most of them are ignored by research on vision that makes narrow assumptions about the functions of biological vision.
Achieving true interoperability is hard, but it's both necessary and worthwhile to take the time to form the specifications, requirements, and documentation that outlines the methods and means for integration activities... unless you want to end up like Joe.
The document discusses artificial intelligence (AI) and summarizes key points in 3 sentences:
AI is defined as making computers do things that people currently do better. Research in AI spans a broad range of problems from perception and natural language to games, mathematics, and expert tasks. Effective AI techniques exploit organized knowledge that can be easily modified and used flexibly to reduce its own volume.
The document contains instructions and reference materials for an Arts and Bots design notebook belonging to Rebekah May, including quick references for different outputs like lights and motors, inputs like sensors, and examples of design worksheets for developing a robot project to create a robot named Marco that has lights, spinning pom poms, and a sound sensor.
Outrageous ideas for Graph Databases
Almost every graph database vendor raised money in 2021. I am glad they did, because they are going to need the money. Our current Graph Databases are terrible and need a lot of work. There I said it. It's the ugly truth in our little niche industry. That's why despite waiting for over a decade for the "Year of the Graph" to come we still haven't set the world on fire. Graph databases can be painfully slow, they can't handle non-graph workloads, their APIs are clunky, their query languages are either hard to learn or hard to scale. Most graph projects require expert shepherding to succeed. 80% of the work takes 20% of the time, but that last 20% takes forever. The graph database vendors optimize for new users, not grizzly veterans. They optimize for sales not solutions. Come listen to a Rant by an industry OG on where we could go from here if we took the time to listen to the users that haven't given up on us yet.
In this article I'm going to discuss a problem few people think of. Computer simulation of various processes becomes more and more widespread. This technology is wonderful because it allows us to save time and materials which would be otherwise spent on senseless chemical, biological, physical and other kinds of experiments. A computer simulation model of a wing section flow may help significantly reduce the number of prototypes to be tested in a real wind tunnel. Numerical experiments are given more and more trust nowadays. However, dazzled by the triumph of computer simulation, nobody notices the problem of software complexity growth behind it. People treat computer and computer programs just as a means to obtain necessary results. I'm worried that very few know and care about the fact that software size growth leads to a non-linear growth of the number of software bugs. It's dangerous to exploit a computer treating it just as a big calculator. So, that's what I think - I need to share this idea with other people.
The document summarizes the author's experience as a graduate student while working full-time and raising a family. It discusses how people questioned whether he could handle the workload but that he persevered with support from his wife, family, and time management. The author reflects on lessons learned around balancing school, work and family responsibilities. Key courses covered advanced topics in web development, database management, software engineering and ethics. The author is proud to have completed the program and grateful for the support received.
This document provides an overview of the C280 Computer Vision course, including administrative details, prerequisites, textbooks, grading, schedule, and a brief introduction to the field of computer vision. The course will cover topics like image formation, filtering, features, geometry, recognition, stereo, and motion. Assignments will include problem sets, a take-home exam, and a final project. The goal is to teach the principles and algorithms of computer vision through programming assignments and a project.
SEO in the Age of Entities: Using Schema.org for FindabilityJonathon Colman
How is SEO changing to support microdata like Schema.org? And why is this metadata good for information retrieval and organic search engine optimization?
In this introductory guest lecture for the University of Washington, I present some of the problems in information retrieval for unstructured content ("blobs") and how to solve for these challenges using Schema.org microdata to define "entities".
There's a simple Schema.org markup exercise to expose students to the basics as well as jokes about horror movies, The Simpsons, Keanu Reeves, and even Joss Whedon just to keep things light-hearted and fun.
You can learn more about Jonathon Colman at http://www.jonathoncolman.org/
Unveiling the web, making the implicit explicit.Ian Mulvany
This talk was given on the 9th of August 2010 at the American Phytopathological Society's annual conference in Charolette North Carolina.
I talk about how the commodotisation of emerging tools on the web, such as the semantic web and scalable architectures, may have an effect on the communication and practice of science.
The team presented their mid-term progress on their capstone project analyzing misinformation and disinformation campaigns online. They discussed their research on relevant platforms, data repositories, and scraping tools. They also reflected on challenges faced, preliminary findings discovered, and next steps which include further data analysis using tools like SBS and Tableau as well as exploring sentiment analysis and model training.
What does OOP stand for?
When Object Oriented Programming(OOP) is taught so extensively, do computer programmers, specifically within games development, realise what it's possibly doing to productivity and performance? I explain my own view from experience in personal projects and professional work.
This talk was given to the Edinburgh meet of IGDA Scotland, on 2011/07/27.
1. A KM Story:
Robust Information Re-Use
Launches Mission Success
Jayne Dutra
jayne.dutra@verizon.net
KM World 2009
San Jose, CA
November 18, 2009
2. 2
• Joe has been an engineer
at NASA for 20 years
• His last two missions were
for Earth-orbiting satellites
• He has just been assigned
a mission to Mars
• He worked on a Mars
mission 6 years ago and
wants to re-use a design
from this past job
Meet Joe, the Cognizant Engineer
Goal: Lead a flight project team that will
design a robust propulsion system for the
Mars Return Mission.
Task: To work with his team to design a
propulsion system that will successfully fly
a mission to Mars.
Background: Joe was mainly schooled
the old fashioned way, doing drawings with
paper and pencil, but has been using
electronic CAD programs and engineering
systems software for the last 9 years.
3. 3
Joe Begins Work
I can’t wait to start on a planetary
mission, and Mars too, my old friend! I
wonder if I can find any materials from
the Mars Teleorbiter mission I worked
on six years ago.
While my team begins their design
studies, I’ll do some research. No use
repeating designs that didn’t work the
first time!
Joe needs to look up
materials from work
he has done in the past
in order to jump start
his team’s design studies.
4. 4
Looking for Information from Past Missions
I remember having some issues on the
last propulsion system we designed,
but I can’t quite recall the details.
I think we were still using the old
Failure Reporting system back then.
I’ll check there first.
Joe decides to check the
Problem Failure Reporting
application, a legacy system.
Problem Reporting System
5. 5
Unreliable Search Terms
Problem Reporting System
Mmm.... what did we call that last
mission? It had several acronyms, MTO,
MO, but maybe there others ....
Gee, only 5 failure reports turned up
from my search. I know there were more
than that. Where else could they be?
Joe tries to remember the acronyms that
were used on the past mission for his search.
He has no way of knowing if he tested them
all. He is disappointed with the results.
He decides to try the electronic library
system.
6. 6
Searching for Archived Materials
Oh no! The library I need has disappeared! I
guess all that material is gone. I know I did
a Worst Case Radiation Analysis that would
be really helpful for the team.
I bet they printed it out and stored it in a
warehouse somewhere. I wonder who I
would contact to find that stuff ??
Joe’s project library has been
archived and was stored
somewhere physically off lab.
He cannot access it electronically.
He goes to the
Engineering Data system next.
7. 7
Permission Barriers to Information Retrieval
Rats! My access permissions for that
mission have expired so I can’t look at the
Engineering Change Requests even though
I wrote them!
I also wanted to look at some of the CAD
drawings and schematics.
Mmm... who was the CM on that
project? Maybe he still has permissions...
Joe cannot access relevant content
because his access permissions
have expired. He decides to try
calling some colleagues.
8. 8
Accessing the Social Network
Hi Bill, do you remember the
Mars Teleorbiter mission we
worked on together 6 years ago?
Any idea where the Test Failure
Reports might be?
Joes speaks to his friend, Bill, who was
the configuration management engineer
on the previous Mars mission, but he is
too busy to be of much help.
.
Gosh, Joe, I’m really not sure.
Maybe when I get a break, I’ll
try to figure it out.
9. 9
Exploring the Paper Trail
Maybe I have something in my old
Mars Teleorbiter mission binder
that describes the problems we had
last time and how we solved them.
Oh darn, I remember now that our
Safety Inspector made me ship all
that material to the warehouse since
it was considered a fire hazard.
10. 10
Media Issues Impact Retrieval
Joes calls the Electronic
Document Information
Management System to see if
they have anything relating to
the Mars mission.
Hello, Vellum Files? I am looking
for the Final Build Data Package for
the 2002 Mars Teleorbiter mission.
Do you have it in your archives? Oh,
it’s on microfiche? Could you scan
the documents and send them to me
in hard copy?
Electronic Document Information
Management System
11. 11
Partial Information is Misleading
Joes receives scanned copies of the materials
from the Electronic Document Information
Management System, but they are difficult to read.
He decides to include the original design as an
option in his trade studies since he cannot find
any reason not to re-use it.
Mmmm..... I finally got the scanned
documents, but I’ve lost two weeks
and these reports are really hard to
read since the scanning process
didn’t work very well.
I guess the first design was okay or
I would find some reference to it.
12. 12
The Outcome
Joe decides to pursue his original design from the first
Mars mission as one of the options to be developed by
his team for the trade study period early in the mission’s
life cycle, even though he cannot locate information
objects from reviews or see all of the engineering quality
control documents.
As a result, Joe’s team spends a considerable amount of
time and money before they realize that this approach is
a blind alley with serious flaws.
13. 13
A Different Scenario
Let’s see what happens
to Joe if he had had a
robust, consistent KM
information framework
in place.
Will there be a different outcome?
14. 14
Joe Begins Work
I can’t wait to start on a planetary
mission, and Mars too, my old friend! I
wonder if I can find any materials from
the Mars Teleorbiter mission I worked
on six years ago.
While my team begins their design
studies, I’ll do some research. No use
repeating designs that didn’t work the
first time!
Joe needs to look up
materials from work
he has done in the past
in order to jump start
his team’s design studies.
15. Project Lift Off
15
Researching Past Missions
I remember having some issues on
the last design we did for Mars, but I
can’t quite recall the details.
I’ll go to the project knowledge base
to look for information about the
first mission. I’ll look under
Missions first.
Joe goes to the
Project Knowledge
Base.
16. Project Lift Off
16
Looking for Archived Information
Mmm... what did we actually call
that mission? Oh, here it is: Mars
Teleorbiter.
I want to look at the Quality Control
Records to see if there is anything I
should know before I start the trade
studies.
Joe finds his mission
and looks for quality
control records.
17. Project Lift Off
17
Tracking Terms and Systems
Wow! I see results from the Failure Reporting
System, the old PDM System and the
Electronic Library. I didn’t realize the docs
were scattered all over.
But I sure am glad that someone archived the
info and saved it. I also see returns tagged with
MT and MTO. But the search found them all
anyway. Lucky for me!
Mission acronyms and variant terms
are stored in the taxonomy that
underlies the search. The search
catalog includes items from all
project systems and archives.
18. 18
Tracking Terms and Systems
Oh, thank goodness, if I check under
Content Type, I see the analyses we
wrote last time. . .
I can even cross reference the analyses
by Subsystem and Project.
They turned right up! I can’t believe
how easily I found all this historical
material.
Knowledge categories can be used
together to narrow a search quickly
depending on what details the user
may have.
Project Liftoff
19. Project Liftoff
19
Using Context to Create Associations
Wow, the objects are tagged by Mission
Phase. I took a real beating at the Phase C
review. I’ll bet there are Action Items in
the Phase C Review Package.
Wow, this is the presentation I gave 6 years
ago. Look at all those RFA’s! That sponsor
really zero’ed in on what was wrong with
our design!
Joe’s memory is triggered by the search
results. He knows that if he can find the
RFA’s from the CDR, he can see why the
review board was so critical of the
design that was submitted and how his
team fixed the problems.
20. 20
Breadcrumb Trail to Knowledge Discovery
Okay, here it is! I finally found what I need.
These ECR closures describe exactly what
we did to change the system. Turns out the
sponsor was right. I was upset at the time,
but it sure made sense to rethink the design.
I wonder if anyone else tried this? Maybe
they made modifications that would enhance
the system even more.
The system finds information that
helps Joe identify solutions.
Now, he’s wondering if any other Cog
E tried their ideas about propulsion.
Project Liftoff
21. 21
Social Networking – SME Discovery
I think I’ll look under Subject and see
what documents are in the system. Now
let’s add on the Organization filter so I
can look by section. Hey, here are 7
documents written by Steve down the hall.
Think I’ll visit Steve and see how his team
did with this approach. Maybe they thought
of something we missed.
The system helps Joe find peers who
have done similar work. Now he can
speak to them in real time and get
the benefit of their experience.
Project Liftoff
22. 22
Collaborating With the Team
I’ll also post these documents to my
team’s portal so we can all share the
content.
I wonder if any of the flight spare
parts are around for re-use...
Is the Flight Hardware Store in this
system?
Joe’s team will benefit from seeing the
review and analysis from the
first mission’s CDR.
The system provides an RSS feed to
automatically post the documents.
23. 23
Meanwhile....
Meet Sophie
• Sophie is a younger member of
Joe’s team.
• This is her first big chance to be
on a flight project team.
I’m am so excited about this project!
I know Joe said that he would do some
research, but while I’m waiting, why
don’t I see what I can find out on
my own?
Sophie goes to the
Knowledge Base
System.
24. 24
Providing Intuitive Navigation for Different POVs
The taxonomy provides terms to assist
Sophie in finding her way to the same
information Joe found, but through a
different route. Since she does not have
the personal knowledge Joe does, this is a
valuable aspect of the system.
I’ll look under Competency first.
Great! I see results under the terms
Power Systems, Propulsion and
Mechanical Systems. I can also
cross reference System/Subsystem.
Wow, here are review packages for all
the Mars missions, and here’s Joe’s last
Critical Design review.
Project Liftoff
25. 25
Knowledge Discovery is Powerful!
Uh oh, I see by the review materials that
Joe’s design for the previous mission was
a bust.
But wait a minute, here are the testing
results from the QA phase of the mission.
With a few changes, Joe’s team was able
to make the first design work out.
Wait til Joe sees this!
Sophie finds information that helps
the current team make design
decisions to enable a more robust
propulsion system.
Project Liftoff
26. 26
Hey, Joe, look at these documents
and test results from your other
Mars mission. We can use these to
springboard our trade studies.
Not only that, Sophie, but I also found out
that Steve used a similar power system on
the Mars Planet Orbiter mission, and his
team modified our design to make it even
more efficient!
With this new information, we’ll have
some good alternatives to show at the
Preliminary Design Review. We better get
busy!
Retrieving Information for Effective Re-use
27. 27
What Was Different?
KM Infrastructure components:
– An archive for documents and information objects
– A common corporate vocabulary (taxonomy) and metadata
schema
– A search tool that actively uses the taxonomy
– Indexed content
– A collaborative team environment that can handle agents and
syndication
– Knowledge navigation that encompassed the whole domain
space
– The ability for the user to browse for information without
knowing an exact keyword
28. 28
What Else Was Different?
KM leveraged:
• A knowledge vocabulary that drew heavily on the
users’ processes and experience
• Items from multiple repositories unified by language
that the engineers found intuitive with variant terms
mapped
• A knowledge vocabulary that embedded the corporate
memory over time in IT tools
A Consistent KM Information Architecture
gets the job done!
29. Thanks For Your Time!
29
Jayne Dutra
jayne.dutra@verizon.net