Brain fingerprinting by ankit 2017............ankitg29
information about the brain fingerprinting technology . by EEG method by neuron firing and impulse of brain wave.P300 mean is 300-1000 m-sec brain wave, is better tech. than the polygraph test and other than than PET test. is basically depand the brain wave. is not the depand on the emotions and the pulse rate
Brain fingerprinting by ankit 2017............ankitg29
information about the brain fingerprinting technology . by EEG method by neuron firing and impulse of brain wave.P300 mean is 300-1000 m-sec brain wave, is better tech. than the polygraph test and other than than PET test. is basically depand the brain wave. is not the depand on the emotions and the pulse rate
Most efficient slides on Brain Fingerprinting are listed here.
This is a technology which is most useful for forensic science.
A seminar based presentation is listed here
For any more details contact me-
0091-8943307844
or
nibelmd@gmail.com
Brain Fingerprinting is a controversial forensic science technique that uses electroencephalography (EEG) to determine whether specific information is stored in a subject's brain. It does this by measuring electrical brainwave responses to words, phrases, or pictures that are presented on a computer screen (Farwell & Smith 2001, Farwell, Richardson, and Richardson 2012).
Brain fingerprinting is based on finding that the brain generates a unique brain wave pattern when a person encounters a familiar stimulus use of functional magnetic resonance imaging in lie detection derives from studies suggesting that persons asked to lie show different patterns of brain activity than they do being truthful. Issue related to the use of such evidence in courtsare discussed.The author concludes that neither approach is currently supported by enough data regarding its accuracy in detecting deception to warrant use in court. In the field of criminology a new lie detector has been developed in USA. This is called “BRAIN FINGERPRINTING”.The invention is supposed to be the best lie detector even smooth criminals who paas the polygraph Test with ease.The new method employs brainwaves ,which are useful in detecting whether the person is subjected to test remember finer details of crime,even if the person willingly suppressesthe necessary information,the brain wave is sure to trap him ,according to the experts who are very excited about the new kid on the block.
Most efficient slides on Brain Fingerprinting are listed here.
This is a technology which is most useful for forensic science.
A seminar based presentation is listed here
For any more details contact me-
0091-8943307844
or
nibelmd@gmail.com
Brain Fingerprinting is a controversial forensic science technique that uses electroencephalography (EEG) to determine whether specific information is stored in a subject's brain. It does this by measuring electrical brainwave responses to words, phrases, or pictures that are presented on a computer screen (Farwell & Smith 2001, Farwell, Richardson, and Richardson 2012).
Brain fingerprinting is based on finding that the brain generates a unique brain wave pattern when a person encounters a familiar stimulus use of functional magnetic resonance imaging in lie detection derives from studies suggesting that persons asked to lie show different patterns of brain activity than they do being truthful. Issue related to the use of such evidence in courtsare discussed.The author concludes that neither approach is currently supported by enough data regarding its accuracy in detecting deception to warrant use in court. In the field of criminology a new lie detector has been developed in USA. This is called “BRAIN FINGERPRINTING”.The invention is supposed to be the best lie detector even smooth criminals who paas the polygraph Test with ease.The new method employs brainwaves ,which are useful in detecting whether the person is subjected to test remember finer details of crime,even if the person willingly suppressesthe necessary information,the brain wave is sure to trap him ,according to the experts who are very excited about the new kid on the block.
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
2. CONTENTS:
INTRODUCTION
MERMER
OPERATION
OPERATING SYSTEM
DIFFERENT TYPES OF BRAIN WAVES
EXAMPLE OF A SUBJECT
STAGES OF BRAIN FINGER PRINTING
FEATHURES
APPLICATIONS
LIMITATIONS
CONCLUSION
3. Brain fingerprinting is a controversial, unproven and
questionable technique invented by Lawrence Farwell which he
uses ”Electro Encephalo Graphy” (EEG) to determine whether
specific information is stored in a subject's brain.
The technique consists of the measuring and recording a
person's electrical brainwaves and their brain response.
Farwell's brain fingerprinting originally used the well known P300
brain response to detect the brain's recognition of the known
information
INTRODUCTION
4. Brain Fingerprinting technology is based on an electrical signal known
as MERMER.
Farwell discovered the P300-MERMER .
MERMER - "Memory and Encoding Related Multifaceted
Electroencephalographic Response“ .
A MERMER is an electrical signal which is part of the brainwave
observed in response to familiar information.
MERMER
5. Brain Fingerprinting technique used to determine scientifically
what information is, or is not stored in a particular brain.
When the brain recognizes something, then there is increase in
neurons activity, so elicit some changes in brain wave signals .
This technique measures the response to the Visual and the
Audio stimulus.
Stimulus is a thing or event that evokes a specific functional
reaction in an organ or tissue.
It does this by measuring electrical brainwave responses to
words, phrases, or pictures that are presented on a computer
screen.
OPERATION
6. Trigger
neurons of
brain
Head gear fitted
with Electrodes
placed on scalp
Generators along
signals
Study the
data using
computer
program.
OPERATING MECHANISM
7. A suspect is tested by looking at three kinds of information represented
by different colored lines .
RED : Information the suspect is expected to know. It arises due to
target type stimulus.
GREEN : Information not to suspect. The irrelevant stimuli is
responsible for this type of brain waves.
BLUE : Information of the crime that only perpetrator would know.
This occurs due to probes.
DIFFERENT TYPES OF BRAIN WAVES
8.
9. EXAMPLE OF A SUBJECT
The Following figure shows the RED and BLUE lines are closely
correlated.
This indicates the suspect or the criminal has the knowledge of the
CRIME.
10. Crime Scene Evidence Collection : Collecting the data
physically at the crime scene area .
Brain Evidence collection : Collecting the data from the brain
using certain tools.
Computer Evidence Analysis : Analysing the data/evidence
using computer device for better comparison.
Scientific Result : Showing the Result after the analysis
,showing whether the Data is correct or not .
STAGES OF BRAIN FINGER PRINTING
11. Brain fingerprinting is a computer-based test that is designed to
discover, document.
It has also been used to evaluate brain functioning as a means of early
detection of Alzheimer's and other cognitively degenerative diseases,
and to evaluate the effectiveness of advertising by measuring brain
responses.
Basically Brain fingerprinting is not lie detection. It is different from
polygraph(lie-detector), which measures emotion-based physiological
signals such as heart rate, sweating and blood pressure .
FEATHURES
12. To identify individuals with a specific training or expertise such
as members of dormant terrorist cells or bomb makers. The
National Security is one of the application.
To evaluate the effectiveness of advertising by measuring brain
responses. to evaluate brain functioning It is applied in the
Medical field.
It works on brain functioning by detecting the brain waves. It can
help solve crimes.
APPLICATIONS
13. Brain fingerprinting detects information-processing brain responses
that reveal what information is stored in the subject's brain. It does
not detect how that information got there.
Brain fingerprinting does not detect lies. It simply detects
information. No questions are asked or answered during a brain
fingerprinting test.
LIMTATIONS
14. It would be inappropriate to generalize the results of the present
research because of the small sample of subjects.
But the 100% accuracy and high confidence level of the results,
however, provide further support for results from previous
research using brain MERMER testing.
If this project is successful .Then it can bring a revolution in
scientific field .
CONCLUSION