This document summarizes research on using femtosecond laser pulses to store data in human fingernails. Key points:
- Japanese researchers were able to write data to fingernails by focusing femtosecond laser pulses at different depths, causing increased fluorescence that could be read by a microscope.
- Up to 5 megabits of data could be stored and remained readable for 6 months, the time it takes a fingernail to grow out.
- Potential applications include secure personal authentication, as data is stored on the body and biometrics like fingerprints could be used to access it.
- The approach involves using a femtosecond laser system to write data by inducing structural changes in the fingern
High Security Human Recognition System using Iris ImagesIDES Editor
In this paper, efficient biometric security
technique for Integer Wavelet Transform based Human
Recognition System (IWTHRS) using Iris images
verification is described. Human Recognition using Iris
images is one of the most secure and authentic among the
other biometrics. The Iris and Pupil boundaries of an Eye
are identified by Integro-Differential Operator. The features
of the normalized Iris are extracted using Integer Wavelet
Transform and Discrete Wavelet Transform. The Hamming
Distance is used for matching of two Iris feature vectors. It
is observed that the values of FAR, FRR, EER and
computation time required are improved in the case of
Integer Wavelet Transform based Human Recognition
System as compared to Discrete Wavelet Transform based
Human Recognition System (DWTHRS).
Artificial intelligence turns brain activity into speechusmsystems
Artificial intelligence turns brain activity into speech for most people who are frozen and unable to speak, the signals for what they want to say hide in their brains. No one could interpret those signs directly. But three research groups have recently made progress in transforming data from electrodes placed on the brain into computer-generated speech. Using computational models called neural networks, they have, in some cases, reconstructed words and sentences that are understandable to human listeners.
A Novel Biometric Approach for Authentication In Pervasive Computing Environm...aciijournal
The paradigm of embedding computing devices in our
surrounding environment has gained more interest
in recent days. Along with contemporary technology
comes challenges, the most important being the
security and privacy aspect. Keeping the aspect of
compactness and memory constraints of pervasive
devices in mind, the biometric techniques proposed
for identification should be robust and dynamic. In
this
work, we propose an emerging scheme that is based on few exclusive human traits and characteristics termed as ocular biometrics, promising utmost security and reliability. Complex iris recognition and retinal scanning algorithms have been discussed whi
ch promises achievement of accurate results. The
performance and vast applications of these algorithms on pervasive computing devices is also addressed.
High Security Human Recognition System using Iris ImagesIDES Editor
In this paper, efficient biometric security
technique for Integer Wavelet Transform based Human
Recognition System (IWTHRS) using Iris images
verification is described. Human Recognition using Iris
images is one of the most secure and authentic among the
other biometrics. The Iris and Pupil boundaries of an Eye
are identified by Integro-Differential Operator. The features
of the normalized Iris are extracted using Integer Wavelet
Transform and Discrete Wavelet Transform. The Hamming
Distance is used for matching of two Iris feature vectors. It
is observed that the values of FAR, FRR, EER and
computation time required are improved in the case of
Integer Wavelet Transform based Human Recognition
System as compared to Discrete Wavelet Transform based
Human Recognition System (DWTHRS).
Artificial intelligence turns brain activity into speechusmsystems
Artificial intelligence turns brain activity into speech for most people who are frozen and unable to speak, the signals for what they want to say hide in their brains. No one could interpret those signs directly. But three research groups have recently made progress in transforming data from electrodes placed on the brain into computer-generated speech. Using computational models called neural networks, they have, in some cases, reconstructed words and sentences that are understandable to human listeners.
A Novel Biometric Approach for Authentication In Pervasive Computing Environm...aciijournal
The paradigm of embedding computing devices in our
surrounding environment has gained more interest
in recent days. Along with contemporary technology
comes challenges, the most important being the
security and privacy aspect. Keeping the aspect of
compactness and memory constraints of pervasive
devices in mind, the biometric techniques proposed
for identification should be robust and dynamic. In
this
work, we propose an emerging scheme that is based on few exclusive human traits and characteristics termed as ocular biometrics, promising utmost security and reliability. Complex iris recognition and retinal scanning algorithms have been discussed whi
ch promises achievement of accurate results. The
performance and vast applications of these algorithms on pervasive computing devices is also addressed.
Sign language SL is commonly considered as the primary gesture based language for deaf and dumb people. It is a medium of communication for such people. Basically image based and sensor based are the two important sign language recognition methods. Because of the difficulties in wearing complex devices like Hand Gloves, armbands, helmets etc. in sensor based approaches, lots of researches are done by companies and researchers on image based approaches. Sign language is used by these people to communicate with the normal people. Understanding this sign language is a difficult task according to the normal people. To address these difficulties, a real time translator for sign language using deep learning DL is introduced. It enables to reduce the limitations and cons of other methods to a greater extent. With the help of this real time translator, communication will be better and fast without causing any delay. Jeni Moni | Anju J Prakash "Real Time Translator for Sign Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd32915.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/32915/real-time-translator-for-sign-language/jeni-moni
An HCI Principles based Framework to Support Deaf CommunityIJEACS
Sign language is a communication language preferred and used by a deaf person to converse with the common people in the community. Even with the existence of the sign language, there exist a communication gap between the normal and the disable/deaf person. Some solutions such as sensor gloves already are in place to address this problem area of communication, but they are limited and are not covering all parts of the language as required by the deaf person for the ordinary person to understand what is said and wanted? Due to the lack of credibility of the existing solutions for sign language translation, we have proposed a system that aims to assist the deaf people in communicating with the common people of the society and helping, in turn, the disabled people to understand the healthy (normal people) easily. Knowing the needs of the users will help us in focusing on the Human Computer Interaction technologies for deaf people to make it further more a user-friendly and a better alternative to the existing technologies that are in place. The Human Computer Interface (HCI) concept of usability, empirical measurement and simplicity are the key consideration in the development of our system. The proposed Kinect System removes the need for physical contact to operate by using Microsoft Kinect for Windows SDK beta. The result shows that the It has a strong, positive and emotional impact on persons with physical disabilities and their families and friends by giving them the ability to communicate in an easy manner and non-repetitive gestures.
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative...ijtsrd
Sign Language SL is a medium of communication for physically disabled people. It is a gesture based language for communication of dumb and deaf people. These people communicate by using different actions of hands, where each different action means something. Sign language is the only way of conversation for deaf and dumb people. It is very difficult to understand this language for the common people. Hence sign language recognition has become an important task. There is a necessity for a translator to communicate with the world. Real time translator for sign language provides a medium to communicate with others. Previous methods employs sensor gloves, hat mounted cameras, armband etc. which has wearing difficulties and have noisy behaviour. To alleviate this problem, a real time gesture recognition system using Deep Learning DL is proposed. It enables to achieve improvements on the gesture recognition performance. Jeni Moni | Anju J Prakash ""A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training: Survey"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30032.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30032/a-deep-neural-framework-for-continuous-sign-language-recognition-by-iterative-training-survey/jeni-moni
This paper presents the development of a camera-based assistive text reading framework to help blind persons read text labels and product packaging from hand-held objects in their daily lives. Recent developments in computer vision, digital cameras, and portable computers make it feasible to assist these individuals by developing camera-based products that combine computer vision technology with other existing commercial products such optical character recognition (OCR) systems. To automatically extract the text regions from the object, we propose a artificial neural network algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Adaboost model. Text characters in the localized text regions are binarized for processing the algorithm and the text characters are recognized by off-the-shelf OCR (Optical Character Recognition) and other process involved . Now the binarized signals are converted to audible signal. The working principle is as follows first the respected image will be captured and then it is converted to binary signals. Now the image is diagnosed to find whether the text is present in the image. Secondly, if the text is present, then the object of interest is detected. The respected text of the image is recognized and then converted to audible signals. Thus the recognized text codes are given as speech to the user.
Applications of Biometrics in Technologyiamsanjayk
Biometric in the field of Computer science ! This is a powerpoint presentation prepared as a first year participation in college presentation competition. Topic - Applications of biometrics in technology. This was my first attempt. Hope it comes in use for people in need of a simple presentation.
Artificial intelligence in health care by Islam salama " Saimo#BoOm "Dr-Islam Salama
A Lecture about basics and concepts of Artificial Intelligence in health care & there applications
محاضرة عامة حول الذكاء الإصطناعي وأساسياته في الرعاية الصحية والطبية وتطبيقاته
This is a Fingerprint based class attendance system in higher institutions, The implementation take attendance of student in a class and give output of student eligibility status at the end of the semester or term
Daily Human Activity Recognition using Adaboost Classifiers on Wisdm Datasetijtsrd
Human activity recognition is an important area of machine learning research as it has much utilization in different areas such as sports training, security, entertainment, ambient assisted living, and health monitoring and management. Studying human activity recognition shows that researchers are interested mostly in the daily activities of the human. Nowadays mobile phone is well equipped with advanced processor, more memory, powerful battery and built in sensors. This provides an opportunity to open up new areas of data mining for activity recognition of human's daily living. In the paper, the benchmark dataset is considered for this work is acquired from the WISDM laboratory, which is available in public domain. We tested experiment using AdaBoost.M1 algorithm with Decision Stump, Hoeffding Tree, Random Tree, J48, Random Forest and REP Tree to classify six activities of daily life by using Weka tool. Then we also see the test output from weka experimenter for these six classifiers. We found the using Adaboost,M1 with Random Forest, J.48 and REP Tree improves overall accuracy. We showed that the difference in accuracy for Random Forest, REP Tree and J48 algorithms compared to Decision Stump, and Hoeffding Tree is statistically significant. We also show that the accuracy of these algorithms compared to Decision Stump, and Hoeffding Tree is high, so we can say that these two algorithms achieved a statistically significantly better result than the Decision Stump, and Hoeffding Tree and Random Tree baseline. Khin Khin Oo "Daily Human Activity Recognition using Adaboost Classifiers on Wisdm Dataset" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28073.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/28073/daily-human-activity-recognition-using-adaboost-classifiers-on-wisdm-dataset/khin-khin-oo
Recognizing of Text and Product Label from Hand Held Entity Intended for Visi...YogeshIJTSRD
Our proposed work involves recognizing text and product label reading from portable entities intended for Visionless Persons using Raspberry Pi 3, ultrasonic sensor. Raspberry Pi 3 is the controller used in the proposed device. GPS is fixed in the system and it is used to find the exact location of the person in terms of longitude and latitude, this information is sent to the caretaker through e mail. The caretaker can use the latitude and longitude to find the address on Google Maps. The camera is used to identify the obstacle or object ahead and the output is told to the blind user in speech form. The camera also identifies objects with words on them, using image processing these images are converted to text, and using Tesseract the text is converted to speech, thus giving the speech output to the blind about what is written on the object. RF ID is used to find the stick using tags. The buzzer goes ON to identify the location of the stick. A threshold value for distance between the user and the stick is set, when the distance is less than the threshold value, the buzzer sound increases. Arunkumar. V | Aswin M. D | Bhavan. S | Gopinath. V | Dr. Kishorekumar. A "Recognizing of Text and Product Label from Hand Held Entity Intended for Visionless Persons" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39808.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/39808/recognizing-of-text-and-product-label-from-hand-held-entity-intended-for-visionless-persons/arunkumar-v
Sixth Sense technology discovered by Pranav Mistry. It is a wearable gestural based device which integrates the two worlds, i.e Physical world and Digital world.
Sixth Sense Technology is a mini-projector coupled with a camera and a cellphone—which acts as the computer and connected to the Cloud, all the information stored on the web. Sixth Sense can also obey hand gestures. The camera recognizes objects around a person instantly, with the micro-projector overlaying the information on any surface, including the object itself or hand. Also can access or manipulate the information using fingers. make a call by Extend hand on front of the projector and numbers will appear for to click. know the time by Draw a circle on wrist and a watch will appear. take a photo by Just make a square with fingers, highlighting what want to frame, and the system will make the photo—which can later organize with the others using own hands over the air.and The device has a huge number of applications , it is portable and easily to carry as can wear it in neck.
The drawing application lets user draw on any surface by observing the movement of index finger. Mapping can also be done anywhere with the features of zooming in or zooming out. The camera also helps user to take pictures of the scene is viewing and later can arrange them on any surface. Some of the more practical uses are reading a newspaper. reading a newspaper and viewing videos instead of the photos in the paper. Or live sports updates while reading the newspaper.
Sign language SL is commonly considered as the primary gesture based language for deaf and dumb people. It is a medium of communication for such people. Basically image based and sensor based are the two important sign language recognition methods. Because of the difficulties in wearing complex devices like Hand Gloves, armbands, helmets etc. in sensor based approaches, lots of researches are done by companies and researchers on image based approaches. Sign language is used by these people to communicate with the normal people. Understanding this sign language is a difficult task according to the normal people. To address these difficulties, a real time translator for sign language using deep learning DL is introduced. It enables to reduce the limitations and cons of other methods to a greater extent. With the help of this real time translator, communication will be better and fast without causing any delay. Jeni Moni | Anju J Prakash "Real Time Translator for Sign Language" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5 , August 2020, URL: https://www.ijtsrd.com/papers/ijtsrd32915.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/32915/real-time-translator-for-sign-language/jeni-moni
An HCI Principles based Framework to Support Deaf CommunityIJEACS
Sign language is a communication language preferred and used by a deaf person to converse with the common people in the community. Even with the existence of the sign language, there exist a communication gap between the normal and the disable/deaf person. Some solutions such as sensor gloves already are in place to address this problem area of communication, but they are limited and are not covering all parts of the language as required by the deaf person for the ordinary person to understand what is said and wanted? Due to the lack of credibility of the existing solutions for sign language translation, we have proposed a system that aims to assist the deaf people in communicating with the common people of the society and helping, in turn, the disabled people to understand the healthy (normal people) easily. Knowing the needs of the users will help us in focusing on the Human Computer Interaction technologies for deaf people to make it further more a user-friendly and a better alternative to the existing technologies that are in place. The Human Computer Interface (HCI) concept of usability, empirical measurement and simplicity are the key consideration in the development of our system. The proposed Kinect System removes the need for physical contact to operate by using Microsoft Kinect for Windows SDK beta. The result shows that the It has a strong, positive and emotional impact on persons with physical disabilities and their families and friends by giving them the ability to communicate in an easy manner and non-repetitive gestures.
A Deep Neural Framework for Continuous Sign Language Recognition by Iterative...ijtsrd
Sign Language SL is a medium of communication for physically disabled people. It is a gesture based language for communication of dumb and deaf people. These people communicate by using different actions of hands, where each different action means something. Sign language is the only way of conversation for deaf and dumb people. It is very difficult to understand this language for the common people. Hence sign language recognition has become an important task. There is a necessity for a translator to communicate with the world. Real time translator for sign language provides a medium to communicate with others. Previous methods employs sensor gloves, hat mounted cameras, armband etc. which has wearing difficulties and have noisy behaviour. To alleviate this problem, a real time gesture recognition system using Deep Learning DL is proposed. It enables to achieve improvements on the gesture recognition performance. Jeni Moni | Anju J Prakash ""A Deep Neural Framework for Continuous Sign Language Recognition by Iterative Training: Survey"" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-2 , February 2020,
URL: https://www.ijtsrd.com/papers/ijtsrd30032.pdf
Paper Url : https://www.ijtsrd.com/engineering/computer-engineering/30032/a-deep-neural-framework-for-continuous-sign-language-recognition-by-iterative-training-survey/jeni-moni
This paper presents the development of a camera-based assistive text reading framework to help blind persons read text labels and product packaging from hand-held objects in their daily lives. Recent developments in computer vision, digital cameras, and portable computers make it feasible to assist these individuals by developing camera-based products that combine computer vision technology with other existing commercial products such optical character recognition (OCR) systems. To automatically extract the text regions from the object, we propose a artificial neural network algorithm by learning gradient features of stroke orientations and distributions of edge pixels in an Adaboost model. Text characters in the localized text regions are binarized for processing the algorithm and the text characters are recognized by off-the-shelf OCR (Optical Character Recognition) and other process involved . Now the binarized signals are converted to audible signal. The working principle is as follows first the respected image will be captured and then it is converted to binary signals. Now the image is diagnosed to find whether the text is present in the image. Secondly, if the text is present, then the object of interest is detected. The respected text of the image is recognized and then converted to audible signals. Thus the recognized text codes are given as speech to the user.
Applications of Biometrics in Technologyiamsanjayk
Biometric in the field of Computer science ! This is a powerpoint presentation prepared as a first year participation in college presentation competition. Topic - Applications of biometrics in technology. This was my first attempt. Hope it comes in use for people in need of a simple presentation.
Artificial intelligence in health care by Islam salama " Saimo#BoOm "Dr-Islam Salama
A Lecture about basics and concepts of Artificial Intelligence in health care & there applications
محاضرة عامة حول الذكاء الإصطناعي وأساسياته في الرعاية الصحية والطبية وتطبيقاته
This is a Fingerprint based class attendance system in higher institutions, The implementation take attendance of student in a class and give output of student eligibility status at the end of the semester or term
Daily Human Activity Recognition using Adaboost Classifiers on Wisdm Datasetijtsrd
Human activity recognition is an important area of machine learning research as it has much utilization in different areas such as sports training, security, entertainment, ambient assisted living, and health monitoring and management. Studying human activity recognition shows that researchers are interested mostly in the daily activities of the human. Nowadays mobile phone is well equipped with advanced processor, more memory, powerful battery and built in sensors. This provides an opportunity to open up new areas of data mining for activity recognition of human's daily living. In the paper, the benchmark dataset is considered for this work is acquired from the WISDM laboratory, which is available in public domain. We tested experiment using AdaBoost.M1 algorithm with Decision Stump, Hoeffding Tree, Random Tree, J48, Random Forest and REP Tree to classify six activities of daily life by using Weka tool. Then we also see the test output from weka experimenter for these six classifiers. We found the using Adaboost,M1 with Random Forest, J.48 and REP Tree improves overall accuracy. We showed that the difference in accuracy for Random Forest, REP Tree and J48 algorithms compared to Decision Stump, and Hoeffding Tree is statistically significant. We also show that the accuracy of these algorithms compared to Decision Stump, and Hoeffding Tree is high, so we can say that these two algorithms achieved a statistically significantly better result than the Decision Stump, and Hoeffding Tree and Random Tree baseline. Khin Khin Oo "Daily Human Activity Recognition using Adaboost Classifiers on Wisdm Dataset" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd28073.pdf Paper URL: https://www.ijtsrd.com/computer-science/data-miining/28073/daily-human-activity-recognition-using-adaboost-classifiers-on-wisdm-dataset/khin-khin-oo
Recognizing of Text and Product Label from Hand Held Entity Intended for Visi...YogeshIJTSRD
Our proposed work involves recognizing text and product label reading from portable entities intended for Visionless Persons using Raspberry Pi 3, ultrasonic sensor. Raspberry Pi 3 is the controller used in the proposed device. GPS is fixed in the system and it is used to find the exact location of the person in terms of longitude and latitude, this information is sent to the caretaker through e mail. The caretaker can use the latitude and longitude to find the address on Google Maps. The camera is used to identify the obstacle or object ahead and the output is told to the blind user in speech form. The camera also identifies objects with words on them, using image processing these images are converted to text, and using Tesseract the text is converted to speech, thus giving the speech output to the blind about what is written on the object. RF ID is used to find the stick using tags. The buzzer goes ON to identify the location of the stick. A threshold value for distance between the user and the stick is set, when the distance is less than the threshold value, the buzzer sound increases. Arunkumar. V | Aswin M. D | Bhavan. S | Gopinath. V | Dr. Kishorekumar. A "Recognizing of Text and Product Label from Hand Held Entity Intended for Visionless Persons" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-3 , April 2021, URL: https://www.ijtsrd.com/papers/ijtsrd39808.pdf Paper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/39808/recognizing-of-text-and-product-label-from-hand-held-entity-intended-for-visionless-persons/arunkumar-v
Sixth Sense technology discovered by Pranav Mistry. It is a wearable gestural based device which integrates the two worlds, i.e Physical world and Digital world.
Sixth Sense Technology is a mini-projector coupled with a camera and a cellphone—which acts as the computer and connected to the Cloud, all the information stored on the web. Sixth Sense can also obey hand gestures. The camera recognizes objects around a person instantly, with the micro-projector overlaying the information on any surface, including the object itself or hand. Also can access or manipulate the information using fingers. make a call by Extend hand on front of the projector and numbers will appear for to click. know the time by Draw a circle on wrist and a watch will appear. take a photo by Just make a square with fingers, highlighting what want to frame, and the system will make the photo—which can later organize with the others using own hands over the air.and The device has a huge number of applications , it is portable and easily to carry as can wear it in neck.
The drawing application lets user draw on any surface by observing the movement of index finger. Mapping can also be done anywhere with the features of zooming in or zooming out. The camera also helps user to take pictures of the scene is viewing and later can arrange them on any surface. Some of the more practical uses are reading a newspaper. reading a newspaper and viewing videos instead of the photos in the paper. Or live sports updates while reading the newspaper.
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
Student information management system project report ii.pdfKamal Acharya
Our project explains about the student management. This project mainly explains the various actions related to student details. This project shows some ease in adding, editing and deleting the student details. It also provides a less time consuming process for viewing, adding, editing and deleting the marks of the students.
HEAP SORT ILLUSTRATED WITH HEAPIFY, BUILD HEAP FOR DYNAMIC ARRAYS.
Heap sort is a comparison-based sorting technique based on Binary Heap data structure. It is similar to the selection sort where we first find the minimum element and place the minimum element at the beginning. Repeat the same process for the remaining elements.
Overview of the fundamental roles in Hydropower generation and the components involved in wider Electrical Engineering.
This paper presents the design and construction of hydroelectric dams from the hydrologist’s survey of the valley before construction, all aspects and involved disciplines, fluid dynamics, structural engineering, generation and mains frequency regulation to the very transmission of power through the network in the United Kingdom.
Author: Robbie Edward Sayers
Collaborators and co editors: Charlie Sims and Connor Healey.
(C) 2024 Robbie E. Sayers
1. www.studymafia.org
A
Seminar report
on
“Data Storage On Fingernail”
Submitted in partial fulfillment of the requirement for the award of degree
of Bachelor of Technology in Computer Science
SUBMITTED TO: SUBMITTED BY:
www.studymafia.org www.studymafia.org
2. www.studymafia.org
Acknowledgement
I would like to thank respected Mr…….. and Mr. ……..for giving me such a wonderful
opportunity to expand my knowledge for my own branch and giving me guidelines to
present a project report. It helped me a lot to realize of what we study for.
Secondly, I would like to thank my parents who patiently helped me as i went through
my work and helped to modify and eliminate some of the irrelevant or un-necessary
stuffs.
Thirdly, I would like to thank my friends who helped me to make my work more
organized and well-stacked till the end.
Next, I would thank Microsoft for developing such a wonderful tool like MS Word. It
helped my work a lot to remain error-free.
Last but clearly not the least, I would thank The Almighty for giving me strength to
complete my report on time.
3. www.studymafia.org
Preface
I have made this report file on the topic Data Storage On Fingernail; I have tried my
best to elucidate all the relevant detail to the topic to be included in the report. While in
the beginning I have tried to give a general view about this topic.
My efforts and wholehearted co-corporation of each and everyone has ended on a
successful note. I express my sincere gratitude to …………..who assisting me
throughout the preparation of this topic. I thank him for providing me the
reinforcement, confidence and most importantly the track for the topic whenever I
needed it.
4. www.studymafia.org
INTRODUCTION
Recently, there have been rapid developments in the field of information
technology, resulting in the need to generate, store, and transport a large
amount of information while ensuring data security, an important issue in
today's digital age. To meet future demands in information technology,
femtosecond laser pulse processing offers a powerful tool for developing
new high-capacity devices because it allows fabrication of three-dimensional
(3-D) structures inside a wide range of transparent materials. In particular,
multilayered 3-D optical bit recording is a promising technique for next-
generation computing systems because it offers a large recording capacity by
stacking many recording layers without increasing the recording density per
layer . Our goal is to realize optical data storage in a human fingernail for
highly secure data transportation that does not suffer from problems such as
theft, forgery, or loss of recording media .
Japanese researchers are using femtosecond laser pulses to write data into
human fingernails .Secure optical data storage could soon literally be at your
fingertips thanks to work being carried out in Japan. Yoshio Hayasaki and
his colleagues have discovered that data can be written into a human
fingernail by irradiating it with femtosecond laser pulses. Capacities are said
to be up to 5 mega bits and the stored data lasts for 6 months - the length of
time it takes a fingernail to be completely replaced. (Optics Express 13
4560)
Fingernail storage "I don't like carrying around a large number of cards,
money and papers," Hayasaki from Tokushima University told Optics.org. "I
think that a key application will be personal authentication. Data stored in a
fingernail can be used with biometrics, such as fingerprint authentication and
intravenous authentication of the finger."
5. www.studymafia.org
BASIC APPROCH
The team's approach is simple: use a femtosecond laser system to write the
data into the nail and a fluorescence microscope to read it out. The key to
reading the data out is that the nail's fluorescence increases at the point
irradiated by the femtosecond pulses. Initial experiments were carried out on
a small piece of human fingernail measuring 2 x 2 x 0.4 mm3. The writing
system comprises a Ti:Sapphire oscillator and Ti:Sapphire amplifier. Pulses
of less than 100 fs at 800 nm are then passed through a microscope and
focused to three set depths (40, 60 and 80 microns) using an objective lens.
Each "bit" of information has a diameter of 3.1 microns and is written by a
single femtosecond pulse. A motorised stage moves the nail to create a bit
spacing of 5 microns across the nail and a depth of 20 microns between
recording layers.
An optical microscope containing a filtered xenon arc lamp excites the
fluorescence and reads out the data stored at the various depths. "We
regulate the focus with the movement of the microscope objective,"
explained Hayasaki. "The distance between the planes is set to prevent
cross-talk between data stored at different depths. "Hayasaki adds that the
same fluorescence signal is seen 172 days after recording.
Although the initial experiments have concentrated on small pieces of nail,
the team is now developing a system that can write data to a fingernail
which is still attached to a finger. "We will develop a femtosecond laser
processing system that can record the data at the desired points with
compensation for the movement of a finger," said Hayasaki.
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DATA IS LITERALY ON FINGER NAIL
As technology and science develop, new, more advanced means of storing
data are discovered. However, up until know, nobody thought of using the
human body as a storage media .
According to Jacqueline Hewett for physicsweb.org, Yoshio Hayasaki of
Tokushima University and colleagues have discovered that data can be
written into a human fingernail by irradiating it with femtosecond laser
pulses. Capacities are said to be up to 5 mega bits and the stored data lasts
or 6 months, which is the length of time it takes a fingernail to be completely
replaced.
"I don't like carrying around a large number of cards, money and papers,"
says Hayasaki. "I think that a key application will be personal
authentication. Data stored in a fingernail can be used with biometrics, such
as fingerprint authentication and intravenous authentication of the finger."
The team's approach is simple: use a femtosecond (10-15 seconds) laser
system to write the data into the nail and a fluorescence microscope to read
it out. The key to reading the data out is that the nail's fluorescence increases
at the point irradiated by the femtosecond pulses. Initial experiments were
carried out on a small piece of human fingernail measuring 2 x 2 x 0.4 cubic
millimetres. The writing system comprises a Ti:Sapphire oscillator and
Ti:Sapphire amplifier. Pulses of less than 100 femtoseconds at 800
nanometres are then passed through a microscope and focused to three set
depths (40, 60 and 80 microns) using an objective lens.
Each "bit" of information has a diameter of 3.1 microns and is written by a
single femtosecond pulse. A motorised stage moves the nail to create a bit
spacing of 5 microns across the nail and a depth of 20 microns between
recording layers.
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An optical microscope containing a filtered xenon arc lamp excites the
fluorescence and reads out the data stored at the various depths. "We
regulate the focus with the movement of the microscope objective," explains
Hayasaki. "The distance between the planes is set to prevent cross-talk
between data stored at different depths." The same fluorescence signal is
seen 172 days after recording.
Although the initial experiments have concentrated on small pieces of nail,
the team is now developing a system that can write data to a fingernail
which is still attached to a finger. "We will develop a femtosecond laser
processing system that can record the data at the desired points with
compensation for the movement of a finger," adds Hayasaki.
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DNA STORAGE VS FINGERNAIL
STORAGE
Storing messages in DNA it might be interesting to explore ways to encode
large volumes of data directly into parts of the human body. Storing data in
DNA has the advantage that data is distributed throughout the entire body.
Furthermore, if stored in the sex-cells, stored data can be passed down to
offspring. A disadvantage of using DNA for data-storage is the possible
unanticipated effects on cell development and health. Messing with DNA is
risky -- it may be safer to store data in other parts of the human body (with
the one potential disadvantage that such data would not be passed down via
heredity).Storing data on fingernails is a safe process. Using this technology
we save our data without having its bad effect on body.thus it is a safer
process as compared to DNA STORAGE. Here are some suggestions for
parts of the human body that might be good media for data-storage:
Fingernails
It may be possible to encode data on fingernails. This could be accomplished
via micro-etching onto the surface or better yet, via holographic etching
within the matrix of the fingernail itself. An advantage of using fingernails
to store data is that you could easily read the data by inserting a finger into a
scanning device. Also, different fingernails could be used for different data
partitiions. One disadvantage is that fingernails grow and eventually data
would be lost if not refreshed -- however this might actually be a feature in
that the storage is self-expiring which could be useful when you want data to
be permanently removed from storage.
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OTHER PARTS OF HUMAN BODY IN
WHICH DATA CAN BE STORED
The lens of the eye.
The lens of the human eye may provide a good medium for encoding data.
Data would be written into it using laser holographic etching. An advantage
of this approach is that biometric authentication of user-access to data could
be integrated with the data itself. For example, to access the data that is
encoded onto the lens of your eye, you would look into a reader that would
first do an iris scan to authenticate your identity and permission to read the
data, and would then read/write the data as you request. A disadvantage of
using the lens to store data is that it might not be reusable -- it may be
difficult to erase or overwrite data on the lens, although the jury is still out
on this question. Another important consideration would be to ensure that
the data encoding did not interfere with vision, although it is not expected
that this would be a problem as it is easy to encode data microscopically
such that it would not affect visual refraction.
Teeth.
Data could potentiallyl be encoded into teeth, although it would be difficult
to write and read it off later. Furthermore, food and fluids in the mouth could
potentially interfere with read/write operations. This is probably a non-
optimal storage solution!
Hair
Strands of human hair would be good media for storing data. Data could be
etched into the hair strand using a laser. The advantage of this is that the
body has lots of hair and it is constantly being regenerated, so there would
be an infinite supply of storage and rather than worrying about how to erase
or overwrite, you could simply use a different strand of hair to encode new
data. The disadvantage is that hairs are easily lost, which could make data
stored on hairs a bit fragile. Another problem is that it might be difficult to
10. www.studymafia.org
locate the data once stored -- since presumably a given person has more than
just a single hair on their body, which would require some method of
locating the particular hair containing the particular data of interest. One
solution might be to redundantly encode the same data on all the hair in a
given region, say the forearm of a person, such that any hair from that region
would contain a complete copy of the data.
HOW DATA IS STORED ON
FINGERNAILS
There is an increase in fluorescence intensity compared with the
surrounding auto-fluorescence intensity at a structural change produced by a
focused femtosecond laser pulse inside a human fingernail. The spectrum of
the increased fluorescence coincides with the auto-fluorescence spectrum of
a fingernail and that of pure keratin. The increased fluorescence intensity is
also observed in a heated fingernail. It is suggested that the increased
fluorescence is a result of a local denaturation of keratin protein caused by
the femtosecond laser pulse irradiation. The increased fluorescence effect is
very useful for reading out the bit data recorded inside a human fingernail.
We also demonstrate that three-dimensionally-arranged structural changes
can be read out with little cross-talk by making use of the increased
fluorescence. Furthermore, we demonstrate that fluorescence can be
observed for up to 6 months, corresponding to the time required for a
fingernail to grow from root to tip.
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APPARATUS USED
An optical system for recording bit data inside a human
fingernail is composed of :
1. femtosecond laser system
2. an optical microscope.
The femtosecond laser system is composed of a mode-locked Ti:sapphire
laser pumped by a diode-pumped solid state continuous-wave green laser
and a multi-kilohertz pulsed Ti:sapphire regenerative amplifier pumped by a
diode-pumped Nd-YLF laser . A femtosecond laser pulse with a central
wavelength of 800 nm and a pulse width of less than 100 fs (FWHM) is
introduced into the optical microscope.
The optical microscope system has a computer-controlled three-axis
motorized stage. In most experiments, a 40 objective (numerical aperture
(NA) = 0.55) is used.
(A) A sample on the motorized microscope stage is observed with a charge
coupled device (CCD) image sensor under transmitted illumination.
(B) The recording depth Z is defined as the distance moved along the optical
axis by the microscope stage.
(C) The zero depth is determined by microscope observation of the sample
surface.
(D) When the focusing position is inside the sample, Z is positive.
(E) The irradiation pulse energy Ep described is the product of the energy
easured at the entrance of the microscope and the transmittance of the
microscope system, including transmittance of the objective.
(F) The transmittance of the microscope is 0.49.
(G) The sample is a small piece of human fingernail whose size is about 22
0.4 mm3, and its surface is polished with abrasive lapping films .
(H) The surface polish reduces the required pulse energy for processing
because the scattering and the distortion of the wavefront are decreased. .
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The optical setup for reading out the bit data
fluorescence microscope consisting of a
(A) xenon arc lamp as an exciting light source,
(B) filter blocks.Each of the filter blocks consists of an excitation filter
which is a band-pass filter ,a dichroic mirror (DM), which is a high-pass
filter , and a barrier filter (BA), which is a high-pass filter .
The spatial distribution of the fluorescence and the spectrum of a small area
of the fingernail are observed with a CCD image sensor and a spectrometer
FIGURE1
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DATA STORING ON NAILS
When the femtosecond laser pulse is focused inside a material, molecules
are subjected to multi-photon ionization and optical field ionization at a local
volume where the laser pulse is focused. Consequently, the ionized
molecules repulse each other, and a microexplosion occurs, which causes a
structural change in the material. Figure 2 shows transmission-illumination
microscope observations of three bit arrays recorded inside a human
fingernail. By changing the value of Ep data at various layers are stored.
The laser ionizes the photon and these photon carry data.
FIGURE BELOW SHOW THE DATA STORAGE AT DIFFERENT
LEVELS.
FIGURE 2
DATA READING FROM NAILS
It has been observed that there is an increased fluorescence at the structural
changes formed in the fingernail compared with the auto-fluorescence of the
fingernail. This change occur due to ionization of molecules .
Comparing these changes data can be retrieved. Image taken by
microscope is compared with the earlier fluorescence and accordingly a
graph is plotted. This graph is further analyse to obtain the data in the form
of bits.
Fluorescence images are show in figure 3 &4
figure
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Conclusion
We have demonstrated an increased fluorescence intensity at the structural
change inside a human fingernail produced by a focused femtosecond laser
pulse. The fluorescence intensity was higher than the surrounding auto-
fluorescence intensity of the fingernail. The structural changes, whose
geometrical shape drastically depends on the irradiated pulse energy, are
observed as a dark region by using a microscope with transmission
illumination. The increased fluorescence intensity was observed in the dark
region. The spectrum of the increased fluorescence coincided with the auto-
fluorescence spectra of the fingernail. The increased fluorescence intensity
was also observed in a fingernail heated in a drying oven. It is suggested that
the increased fluorescence of the structure is a result of a local denaturation
the keratin protein caused by heat generated by the femtosecond laser pulse
irradiation.
We demonstrated that the increased fluorescence of the structure is useful
for reading out three-dimensionally recorded data inside a human fingernail.
We recorded three bit planes inside a human fingernail. We demonstrated
that three bit planes can be read out with little cross-talk by using
fluorescence readout. Furthermore, we demonstrated that fluorescence can
be observed for up to 6 months, corresponding to the time required for a nail
to grow from root to tip. Under these recording conditions, a recording
density of 2 Gbit/cm3 is achievable.
When the recording performed on an accessible volume of 5 × 5 × 0.1 mm3,
the recording capacity of the data is 5 mega bits.