Brain fingerprinting is a technique that uses electroencephalography (EEG) and the P300 component of event-related potentials to determine if specific information is stored in a person's brain. It works by measuring electrical brain wave responses, particularly the P300 wave, when a person is exposed to crime-related words or images. If the P300 response is detected, it suggests the person has knowledge of the information; if not, the information is likely unknown to them. Law enforcement agencies use brain fingerprinting to help determine if a suspect has knowledge related to a crime.
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 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.
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 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.
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 scientific technique to determine whether or not specific information is stored in an individual's brain.
Ruled Admissible in one US Court as scientific evidence.
It has a record of 100% Accuracy.
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 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 when being truthful. Issues related to the use of such evidence in courts are 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 the United States of America. This is called “brain fingerprinting”. This invention is supposed to be the best lie detector available as on date and is said to detect even smooth criminals who pass the polygraph test (the conventional lie detector test) with ease. The new method employs brain waves, which are useful in detecting whether the person subjected to the test, remembers finer details of the crime. Even if the person willingly suppresses the 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.
Fingerprinting is a controversial proposed investigative technique that measures recognition of familiar stimuli by measuring electrical brain wave responses to words, phrases, or pictures that are presented on a computer screen. Brain fingerprinting was invented by Lawrence Farwell. The theory is that the suspect's reaction to the details of an event or activity will reflect if the suspect had prior knowledge of the event or activity. This test uses what Farwell calls the MERMER ("Memory and Encoding Related Multifaceted Electroencephalographic Response") response to detect familiarity reaction. One of the applications is lie detection. Dr. Lawrence A. Farwell has invented, developed, proven, and patented the technique of Farwell Brain Fingerprinting, a new computer-based technology to identify the perpetrator of a crime accurately and scientifically by measuring brain-wave responses to crime-relevant words or pictures presented on a computer screen. Farwell Brain Fingerprinting has proven 100% accurate in over 120 tests, including tests on FBI agents, tests for a US intelligence agency and for the US Navy, and tests on real-life situations including actual crimes.
A fingerprint in its narrow sense is an impression left by the friction ridges of a human finger.Human fingerprints are detailed, unique, difficult to alter, and durable over the life of an individual making them suitable as long-term markers of human identity and may be employed by police or other authorities to identify individuals who wish to conceal their identity, or to identify people are incapacitated or deceased and thus unable to identify themselves, as in the aftermath of a natural disaster. When this fact is integrated for authentication purpose ,it creates an amazing lock system for Security purpose.Here we discuss what is Information Security ,how it is enhanced with the help of Fingerprint , its advantages, disadvantages.You will get a overall end to end scenario infront of you after going through all the slides. I have presented this topic in the Seminar presentation for completion of my M.Tech in Computer Science & Engineering.
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 scientific technique to determine whether or not specific information is stored in an individual's brain.
Ruled Admissible in one US Court as scientific evidence.
It has a record of 100% Accuracy.
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 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 when being truthful. Issues related to the use of such evidence in courts are 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 the United States of America. This is called “brain fingerprinting”. This invention is supposed to be the best lie detector available as on date and is said to detect even smooth criminals who pass the polygraph test (the conventional lie detector test) with ease. The new method employs brain waves, which are useful in detecting whether the person subjected to the test, remembers finer details of the crime. Even if the person willingly suppresses the 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.
Fingerprinting is a controversial proposed investigative technique that measures recognition of familiar stimuli by measuring electrical brain wave responses to words, phrases, or pictures that are presented on a computer screen. Brain fingerprinting was invented by Lawrence Farwell. The theory is that the suspect's reaction to the details of an event or activity will reflect if the suspect had prior knowledge of the event or activity. This test uses what Farwell calls the MERMER ("Memory and Encoding Related Multifaceted Electroencephalographic Response") response to detect familiarity reaction. One of the applications is lie detection. Dr. Lawrence A. Farwell has invented, developed, proven, and patented the technique of Farwell Brain Fingerprinting, a new computer-based technology to identify the perpetrator of a crime accurately and scientifically by measuring brain-wave responses to crime-relevant words or pictures presented on a computer screen. Farwell Brain Fingerprinting has proven 100% accurate in over 120 tests, including tests on FBI agents, tests for a US intelligence agency and for the US Navy, and tests on real-life situations including actual crimes.
A fingerprint in its narrow sense is an impression left by the friction ridges of a human finger.Human fingerprints are detailed, unique, difficult to alter, and durable over the life of an individual making them suitable as long-term markers of human identity and may be employed by police or other authorities to identify individuals who wish to conceal their identity, or to identify people are incapacitated or deceased and thus unable to identify themselves, as in the aftermath of a natural disaster. When this fact is integrated for authentication purpose ,it creates an amazing lock system for Security purpose.Here we discuss what is Information Security ,how it is enhanced with the help of Fingerprint , its advantages, disadvantages.You will get a overall end to end scenario infront of you after going through all the slides. I have presented this topic in the Seminar presentation for completion of my M.Tech in Computer Science & Engineering.
jerarquía del derecho aduanera en el sistema jurídico mexicano.
atribuciones del poder ejecutivo y otras autoridades en materia aduanera y de comercio exterior.
Brain Fingerprinting is a new computer-based technology to identify the perpetrator of a crime accurately and scientifically by measuring brain-wave responses to crime-relevant words or pictures presented on a computer screen. Brain Fingerprinting has proven 100% accurate in over 120 tests, including tests on FBI agents, tests for a US intelligence agency and for the US Navy, and tests on real-life situations including felony crimes. 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 when being truthful. Issues related to the use of such evidence in courts are 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 the United States of America. This is called “brain fingerprinting”. This invention is supposed to be the best lie detector available as on date and is said to detect even smooth criminals who pass the polygraph test (the conventional lie detector test) with ease. The new method employs brain waves, which are useful in detecting whether the person subjected to the test, remembers finer details of the crime. Even if the person willingly suppresses the 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.
Brain Fingerprinting is a technique used to determine scientifically what information is, or is not stored in a particular brain.
Brain Finger Printing was invented by Dr B .S. Farwell chief scientist and president of human brain research and laboratory , USA
REVIEW: Previous Deception detection methods and New proposed method using in...IJERA Editor
Deception detection has important legal and medical applications, but the reliability of methods for the differentiation between truthful and deceptive responses is still limited. Deception detection can be more accurately achieved by measuring the brain correlates of lying in an individual. For the evaluation of the method, several participants were gone through the designed concealed information test paradigm and their respective brain signals were recorded. The electroencephalogram (EEG) signals were recorded and separated into many single trials. To enhance signal noise ratio (SNR) of P3 components, the independent component analysis (ICA) method was adopted to separate non-P3 (i.e. artifacts) and P3 components from every single trial. Then the P3 waveforms with high SNR were reconstructed. And then group of features based on time, frequency, and amplitude were extracted from the reconstructed P3 waveforms. Finally, two different class of feature samples were used to train a support vector machine (SVM) classifier because it has higher performance compared with several other classifiers. The method presented in this paper improves the efficiency of CIT and deception detection in comparison with previous reported methods.
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 when being truthful. Issues related to the use of such evidence in courts are 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 the United States of America. This is called “brain fingerprinting”. This invention is supposed to be the best lie detector available as on date and is said to detect even smooth criminals who pass the polygraph test (the conventional lie detector test) with ease. The new method employs brain waves, which are useful in detecting whether the person subjected to the test, remembers finer details of the crime. Even if the person willingly suppresses the 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.
Fingerprinting is a controversial proposed investigative technique that measures recognition of familiar stimuli by measuring electrical brain wave responses to words, phrases, or pictures that are presented on a computer screen. Brain fingerprinting was invented by Lawrence Farwell. The theory is that the suspect's reaction to the details of an event or activity will reflect if the suspect had prior knowledge of the event or activity. This test uses what Farwell calls the MERMER ("Memory and Encoding Related Multifaceted Electroencephalographic Response") response to detect familiarity reaction. One of the applications is lie detection. Dr. Lawrence A. Farwell has invented, developed, proven, and patented the technique of Farwell Brain Fingerprinting, a new computer-based technology to identify the perpetrator of a crime accurately and scientifically by measuring brain-wave responses to crime-relevant words or pictures presented on a computer screen. Farwell Brain Fingerprinting has proven 100% accurate in over 120 tests, including tests on FBI agents, tests for a US intelligence agency and for the US Navy, and tests on real-life situations including actual crimes.
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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.
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
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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.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
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2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
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Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
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2. What is “BRAIN FINGERPRINT”?
Brain fingerprinting is a computer based technology
designed to determine hidden information in
individual’s brain.
It will analyzed by measuring electrical brain wave
responses to words, phrases or pictures presented on a
computer screen.
it will be measures by the
chief technique of “EEG & P300”.
3. What is human brain?
The human brain is the main organ of the human
central nervous system.
The human cerebral cortex is a thick layer of neural
tissue that covers the two cerebral hemispheres that
make up most of the brain and act for responses.
The measure of electric activity of brain cortex by
means of electrodes is known as
electroencephalography(EEG).
4. What is P300 ?
The P300 (P3) wave is an event related potential (ERP)
component elicited in the process of decision making.
It is usually elicited using the “oddball paradigm”.
It consists of mainly two subcomponents “p3a &p3b”.
The P3a has been associated with brain activity
related to the engagement of attention.
The P3b has been a prominent tool used to study
cognitive processes, especially psychology research
on information processing.
5. Brain fingerprint technique?
Firstly the p300 was been placed on the forehead for to
notify the response of brain.
Each response will denotes a specific colour
RED: information is known by the suspect.
GREEN: information is not known by suspect.
BLUE: Information of the crime that only perpetrator
would know.
6. Brain fingerprint technique?
As we observed the monitoring
Red is not resemble with the
Blue matter so info not obtained
• Red response is P300 so to
Initialise the reference information
• When second response, blue interact with green one
so that the initial response is recorded
7. Brain fingerprint technique?
Number of trails has been recorded are min 60
These trails gives an extreme response about the info
present on the brain.
8. How it works?
The Main Modules Of Testing Brain Fingerprint is:
• Recording of electrical brain activity
• Mathematical data analysis algorithm that compares the
responses of the 3 Functions
• Presentation of the Response
• Determination of information present or information
absent
9. How it works?
Firstly the info related to crime or incident is
preloaded into p300.
These sensor(p300) assumption
is taken along with brain wave ,
eye response and along with
sensor reading of test person.
10. How it works?
The wave responses are generated as shown in figure
The first response shown that the person is not related
to crime.
The second response
shows the person
is related to crime.
11. How it works?
As We observe the first response, the
blue ray is not been linked with red
(p300) response, so the crime was
not commited by the person
The above response spences that the
red mermer response is linked with
the blue wave so that the crime was
committed by the person
12. How it works?
The total trails was taken into consideration and make
a step boot up analysis
13. Brain Fingerprint (vs) Lie detector
For analysing the lie detector , it responses depends on heartbeat,
pulse etc.
But as in brain fingerprinting, only the brain responses is analysed
14. Present using fields!!
Brain fingerprint is mainly used in the federal bureau
of investigation(FBI).
Central bureau of investigation(CBI) For Suspect
Analysis.
This technique mainly used to
Suspect the person if clues
Resolving is negligible.
15. Limitations
Brain fingerprint is initialise what info stores in the brain, it doesn’t
initialise how the info was stored in brain.
It resembles the brain response, there is no right to judge the criminal ,
it only finalise by the honorable justice.