Presentation from CNPS SLO County meeting on how to use iNaturalist to record plants. 2017. Covers taking an observation, cell phone photography tricks, and how to mine data from the platform.
Biological survey. A systematic method for collecting a consistent, reproducible and reliable sample of the aquatic biological community in a waterbody. • Biological indicators. The groups of organisms used to assess the condition of an environment.
The document provides an overview of fingerprint recognition and image enhancement using MATLAB. It discusses fingerprint recognition as an important biometric technique and the challenges in extracting features from low-quality fingerprint images. It then presents the steps involved in fingerprint image enhancement using MATLAB, including preprocessing, segmentation, feature extraction and matching. The project aims to develop algorithms for fingerprint image enhancement and recognition to handle real-world fingerprint images and improve accuracy of authentication.
This document discusses several mobile apps that help identify plants and birds. It provides brief descriptions of apps such as Garden Compass, FlowerChecker, Plantifier, Leafsnap, NatureGate, Ciupercomania, GardenAnswers Plant Identifier, TreeID, Ornithopedia Europe, Insect Identification: PestPro, and PlantNet. These apps allow users to take photos of plants and birds to help identify their names as well as learn more information about them. Some key features of the apps include providing care tips for plants, identifying over 20,000 plant species, identifying insects and getting reports on pests, and accessing databases of over 1,100 European bird species.
Biohackers Summit 2015 - Lifelogging, a new era of Personal DataCathal Gurrin
Dr. Cathal Gurrin discusses lifelogging, which uses wearable devices and sensors to automatically record everything an individual sees, hears, learns and experiences, creating a complete record of their life. The challenges are extracting value from this data and developing applications. Potential applications include enhancing memory, health, relationships and learning. Key areas discussed are segmentation of data, indexing and developing search engines and interfaces to support retrieval, reflection and reminiscence using lifelog data. Privacy is also a major consideration.
The document discusses the importance of properly collecting, handling, and preserving biological evidence at crime scenes. It notes that biological evidence is sensitive and must be handled with care during collection and preservation. It emphasizes taking care to maintain the original state of any biological evidence found and preventing contamination. The document also mentions that many types of biological evidence can be found and discusses the necessary procedures for collection, preservation, and ensuring the safety of each sample.
Technology for Birders: An Introduction by Tim Colborn, Tim Krynak, and Betse...Western Cuyahoga Audubon
Presentation for the speaker program, “Technology for Birders: An Introduction” with presenters Tim Colborn, Ohio Ornithological Society & Western Cuyahoga Audubon Society; Tim Krynak, Natural Resources Area Manager, Cleveland Metroparks; and Betsey O'Hagan, Web Strategist on Tuesday, April 9, 2019 from 7:00 p.m. to 9:00 p.m. at the Rocky River Nature Center, 24000 Valley Pkwy, North Olmsted, OH 44070.
The document discusses data, data science, and finding data sources. It defines data as raw facts about the world and notes that data comes from various sources like government, scientific research, citizens, and private companies. It then discusses the growth of digital data and issues around open data. The document defines data science as using analysis methods to describe facts, detect patterns, and test hypotheses. Finally, it provides tips on finding needed data, such as searching open data sources, APIs, scraping, and joining datasets.
Lifelogging - A long term data analytics challengeCathal Gurrin
This document discusses lifelogging, which refers to the process of digitally storing data about all life experiences for future use. It envisions a "digital self" archive that captures a person's total experiences through sensors and creates a record that grows over time. Several challenges around organizing, searching, and analyzing such large datasets are discussed. The progress made in lifelogging research from early concepts to current technologies is reviewed. Potential future opportunities and issues around privacy, data access, and long-term preservation are also examined.
Biological survey. A systematic method for collecting a consistent, reproducible and reliable sample of the aquatic biological community in a waterbody. • Biological indicators. The groups of organisms used to assess the condition of an environment.
The document provides an overview of fingerprint recognition and image enhancement using MATLAB. It discusses fingerprint recognition as an important biometric technique and the challenges in extracting features from low-quality fingerprint images. It then presents the steps involved in fingerprint image enhancement using MATLAB, including preprocessing, segmentation, feature extraction and matching. The project aims to develop algorithms for fingerprint image enhancement and recognition to handle real-world fingerprint images and improve accuracy of authentication.
This document discusses several mobile apps that help identify plants and birds. It provides brief descriptions of apps such as Garden Compass, FlowerChecker, Plantifier, Leafsnap, NatureGate, Ciupercomania, GardenAnswers Plant Identifier, TreeID, Ornithopedia Europe, Insect Identification: PestPro, and PlantNet. These apps allow users to take photos of plants and birds to help identify their names as well as learn more information about them. Some key features of the apps include providing care tips for plants, identifying over 20,000 plant species, identifying insects and getting reports on pests, and accessing databases of over 1,100 European bird species.
Biohackers Summit 2015 - Lifelogging, a new era of Personal DataCathal Gurrin
Dr. Cathal Gurrin discusses lifelogging, which uses wearable devices and sensors to automatically record everything an individual sees, hears, learns and experiences, creating a complete record of their life. The challenges are extracting value from this data and developing applications. Potential applications include enhancing memory, health, relationships and learning. Key areas discussed are segmentation of data, indexing and developing search engines and interfaces to support retrieval, reflection and reminiscence using lifelog data. Privacy is also a major consideration.
The document discusses the importance of properly collecting, handling, and preserving biological evidence at crime scenes. It notes that biological evidence is sensitive and must be handled with care during collection and preservation. It emphasizes taking care to maintain the original state of any biological evidence found and preventing contamination. The document also mentions that many types of biological evidence can be found and discusses the necessary procedures for collection, preservation, and ensuring the safety of each sample.
Technology for Birders: An Introduction by Tim Colborn, Tim Krynak, and Betse...Western Cuyahoga Audubon
Presentation for the speaker program, “Technology for Birders: An Introduction” with presenters Tim Colborn, Ohio Ornithological Society & Western Cuyahoga Audubon Society; Tim Krynak, Natural Resources Area Manager, Cleveland Metroparks; and Betsey O'Hagan, Web Strategist on Tuesday, April 9, 2019 from 7:00 p.m. to 9:00 p.m. at the Rocky River Nature Center, 24000 Valley Pkwy, North Olmsted, OH 44070.
The document discusses data, data science, and finding data sources. It defines data as raw facts about the world and notes that data comes from various sources like government, scientific research, citizens, and private companies. It then discusses the growth of digital data and issues around open data. The document defines data science as using analysis methods to describe facts, detect patterns, and test hypotheses. Finally, it provides tips on finding needed data, such as searching open data sources, APIs, scraping, and joining datasets.
Lifelogging - A long term data analytics challengeCathal Gurrin
This document discusses lifelogging, which refers to the process of digitally storing data about all life experiences for future use. It envisions a "digital self" archive that captures a person's total experiences through sensors and creates a record that grows over time. Several challenges around organizing, searching, and analyzing such large datasets are discussed. The progress made in lifelogging research from early concepts to current technologies is reviewed. Potential future opportunities and issues around privacy, data access, and long-term preservation are also examined.
· One pageThe Secret Universe of the CellDocumentary - The Hid.docxoswald1horne84988
· One page
The Secret Universe of the Cell
Documentary - The Hidden Life of the Cell- https://youtu.be/SoIP1_fbNpI
• Create a document with 10 bullet point notes
Explain- 10 things you learned or find fascinating about
•The microscopic universe of the cell
•The complexity of cellular life and how it continues to evolve
•The epic battle between cells and viruses
Explain- Why human diversity & biodiversity in general is a vitally important factor in this ongoing battle between viruses and cells.
By now you should have a strong understanding of the history of intelligence in the U.S.; how the intelligence community functions; how intelligence is produced; and the role of local, state and the federal governments in intelligence activities. But, you may still be wondering where does all the information that these entities collect actually come from. And, just as importantly, how is this information obtained.
In lesson three, we learned about the intelligence process and used the Central Intelligence Agency’s (CIA’s) five-phase cycle to examine the various steps. As you recall, in the process, phase two is the collection phase. We briefly also identified and defined the six basic sources of information. These are referred to as “intelligence collection disciples” or the “INTs”
1. Human Intelligence (HUMINT)
2. Signals Intelligence (SIGINT) derived from all communications intelligence (COMINT), electronic intelligence (ELINT), or foreign instrumentation signals intelligence (FISINT).
3. Imagery Intelligence (IMINT)
4. Measurement and Signatures Intelligence (MASINT)
5. Open-Source Intelligence (OSINT)
6. Geospatial intelligence (GEOINT)
These six disciplines are the sources of all the information that is collected to produce intelligence products. Remember, it is a bit of a misperception that secret “movie-like” missions collect all information. While it is true that some is indeed collected in the more classic “spy” type way; a great deal of information is collected by looking at sources that everyone can access.
For the purposes of this class, we will use the Federal Bureau of Investigation’s (FBI’s) explanations of the first five INTs, which include a high level discussion of which members of the IC use the those INTs. The description of the last INT, GEOINT, remains the same as lesson three and is provided by the CIA.
Human Intelligence (HUMINT) is the collection of information from human sources. The collection may be done openly. For example: when FBI agents interview witnesses or suspects, or it may be done through clandestine or covert means (espionage). Within the United States, HUMINT collection is the FBI’s responsibility. Beyond U.S. borders, HUMINT is generally collected by the CIA, but also by other U.S. components abroad.
Signals Intelligence (SIGINT) refers to electronic transmissions that can be collected by ships, planes, ground sites, or satellites. Communications Intelligence (COMINT) is a type of SIGINT and refers to the.
Chapter 4 – Physical Evidence
Class Characteristics
When the characteristics of physical evidence are common to a group of objects or
persons, they may be termed class. Regardless of how thoroughly examined, such
evidence can be placed only into a broad category; an individual identification
cannot be made because there is a possibility of more than one source for the
evidence.
Individual Characteristics
Evidence with individual characteristics can be identified as originating with a
particular person or source.
Soil is the natural accumulation of earth materials, such as weathering rocks,
minerals, and decomposing plants, along with pollen.minerals, and decomposing plants, along with pollen.
1. Soil examinations can determine whether soils share a common
origin by comparing color, texture, and composition.
2. Although it is class characteristic evidence, the analysis of soil
evidence can help focus investigations and discredit alibis.
3. The pollen in soil or on plants and grass can also be very
significant in determining whether or not a suspect was at the scene.
Locating and Handling Soil Evidence
Soil evidence may be important when the suspect drives or walks on unpaved
areas, so that it is picked up by tire treads or the bottom of shoes and cuffs of
the pants. It may also be recovered in a number of other places, such as the
floor board of the subject's car or on articles in the trunk of his vehicle,
including shovels and blankets.
Preserving Shoe/Footwear Prints
Footwear prints may, or may not be readily visible. If they are not immediately
apparent, turn the lights off and search for them using a flashlight.
Comparing Shoe Print Evidence
SICAR is a software package which classifies, archives, and identifies shoe prints.
Preserving Footwear Impressions
As in the case with footwear prints, the location of footwear impressions should be
photographed as part of the general scene and then with a scale.
Preserving Shoe Impressions in Snow
Dental stone is also the preferred material for casting impressions in snow,
replacing the more difficult and time consuming process of using sulfur, which has to
be heated.
Photographs of footwear impressions at a crime scene
In the first photo only the impressions are shown
In a subsequent photo a ruler will be added to show sizes
Later casts will be made of the impressions
GLASS
Glass is important as physical evidence because of the frequency with which it is
encountered.
A. It is essential that the crime scene technician and investigator
understand the ways in which glass reacts to force.
B. Handling Glass Evidence
Tape should not be used to collect glass evidence and any processing for latent
prints is ordinarily done in the laboratory.
An important question often associated with motor vehicle accidents and hit-
and-run cases involves whether or not the lights of a suspect vehicle were and-run cases involves wheth.
Biometrics Iris Scanning: A Literature ReviewOlivia Moran
The interest in Biometrics from both governments and industry has lead to the emergence of multiple Biometric technologies all with their own strengths and flaws. One currently at the forefront of Biometrics is iris scanning.
The process involved in the identification and verification of people using iris scanning is examined in this paper. The advantages and disadvantages associated with the utilisation of such a technology are also explored. A number of legal and ethical issues are highlighted. Iris scanning is looked at in comparison to other forms of Biometric technologies. Future work in the area of Biometrics is also considered in light of current developments.
Performance of Gabor Mean Feature Extraction Techniques for Ear Biometrics Re...shritosh kumar
Abstract
Ear biometric recognition is used in a lot of applications as person identification in
criminal cases, investigation, and security purpose. Feature optimization stage
has an important role for accuracy of correct recognition. Gabor filter have a
problem of high dimension and high redundancy. Sampling filter is a problem of
not reducing features optimum way. In the proposed Gabor feature extraction
technique the Gabor features are filtered using proposed mean filter and obtained
optimum features for ear biometric dataset.
Review of Detection & Recognition Techniques for 2D Ear Biometrics Systemshritosh kumar
This document discusses ear biometrics for human identification. It begins by describing the three common methods of authentication: possession-based (e.g. IDs), knowledge-based (e.g. passwords), and biometric-based (e.g. fingerprints). It then focuses on ear biometrics, noting that ears have properties that make them suitable for identification like universality, uniqueness, and permanence. Several public ear image databases are described that can be used to test ear recognition algorithms. Detection and recognition techniques for 2D ear biometrics are then reviewed.
This presentation contains a case study on the project WildME which is based on computer vision and is helping in detecting aminals all across the world.
The document provides instructions for creating an account and submitting a request on the website HelpWriting.net in order to have an assignment written. It outlines a 5-step process: 1) Create an account with an email and password. 2) Complete a form with assignment details and deadline. 3) Review bids from writers and choose one. 4) Receive the paper and authorize payment if satisfied. 5) Request revisions to ensure satisfaction, and the website guarantees original, high-quality work with refunds for plagiarism.
The document defines observation and discusses its importance in science. It provides context around:
1) Observation involves actively acquiring information through the senses or scientific instruments. It plays a key role in formulating hypotheses and testing them through experiments in the scientific method.
2) Observations need to be reproducible and comparable between observers, so measurement was developed to allow objective recording of observations.
3) Scientific instruments aid observation by translating phenomena into perceptible forms and reducing human biases, though the observer effect can still influence the process being observed.
Speakers: Ben Sullivan, Head of European Operations, KE Software and Mr David Smith, Collections Manager (Petrology, Ocean Bottom Deposits and
Building Stones) and Departmental Loans Manager, Mineralogy Department,
Natural History Museum
This presentation shows how collection data can be presented visually so that staff
and management can monitor the ongoing care of the collections. The visual aids help
justify to management and funding bodies about the need for good collections
care practices.
Lifelogging, egocentric vision and health: how a small wearable camera can he...Petia Radeva
Petia Radeva discusses how lifelogging and wearable cameras can help improve health. Computer vision and deep learning techniques can be applied to extract useful information from large amounts of egocentric image data. Key information that can be derived includes what a person eats, where and with whom they eat, and how active they are. This type of quantified self-data has the potential to help manage health conditions like obesity, diabetes and migraines by identifying triggers and monitoring lifestyle factors and habits over time. Lifelogging also shows promise for cognitive treatment of patients with amnesia or mild cognitive impairment.
The document discusses several biometric methods including palm print recognition, ear biometrics, and DNA biometrics. For palm print recognition, it describes how palm prints contain unique ridge characteristics similar to fingerprints and can be used for identification. It outlines the palm print recognition process including acquisition, preprocessing, feature extraction, matching, and database storage. For ear biometrics, it discusses different identification methods using ear photos, earmarks, and thermograms. DNA biometrics is described as using genetic analysis to identify individuals from biological samples and its use in forensic science, medical diagnosis, and establishing ancestry.
This document contains summaries of various health tracking devices and apps presented at a Quantified Self conference on September 13, 2013. It describes devices that measure sleep tracking, heart rate, posture, stress, eye health, and more. It also mentions the Quantified Self Global Conference in October 2013 and seeks a Health 2.0 chapter co-head. Various references and resources are provided at the end about quantified self sensors, life logging, and the digital health revolution.
Eye tracking technology measures eye movements and gaze using cameras and light sources. It has various applications in research and product design. Eye trackers generally use infrared light and cameras to track the reflection of light sources off the eye to determine where a person is looking. Researchers can use eye tracking data to observe what stimuli capture people's attention and where their visual focus lies. The technology provides an unobtrusive way to understand how people interact with and process their environments.
This document discusses citizen science, which involves members of the public collaborating with scientists on research projects. It provides examples of current citizen science projects including eMammal, where participants set up camera traps to photograph local wildlife. Muddy Microbes involves collecting and identifying microbes in soil samples. Shark Teeth Fossils has participants analyzing fossils found at a quarry. The document outlines benefits for students, educators, and scientists of participating in citizen science. These include contributing to real research, increasing STEM interest, and expanding the scope of data collection. Steps for becoming a citizen scientist include finding a project of interest and learning required tools and methods.
1) The document discusses using wearable sensors and augmented reality to capture expert experiences and knowledge and allow trainees to re-enact and experience those experiences.
2) Key aspects that are captured include gaze direction, videos, audio, gestures, physiological data, and positioning of the expert in an environment. This data is stored and synchronized to create an experience recording.
3) Trainees can then re-enact the expert's experience in real-time by having the expert's contextualized data augmented onto their own experience through methods like displaying the expert's position or where they were looking. This allows the trainee to experience the presence of the expert during tasks.
There have been research on the CCTV (closed circuit television) for safety purpose as an investigative tool. Using CCTV was associated with very significantly increased chance of crime have been solved for all crime types. Evidences like images are most likely used to catch the person who did the crime, the usefulness of CCTV is limited by several factors ,mostly the public areas are not covered .This research paper is on all about how CCTV has been useful for humans for secure and safety purpose. Electronic Surveillance features of society globally , this paper also focus on healthcare context. This paper is based on what I have researched while searching topic on Electronics Surveillance. Gauri Phadtare | Anushree Goud"Electronic Surveillance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14335.pdf http://www.ijtsrd.com/computer-science/other/14335/electronic-surveillance/gauri-phadtare
Eye Tracking Software model of left right allAtharvaTanawade
Eye tracking technology measures eye movements and gaze using cameras and light sources. It has various applications in research and product design. Eye trackers generally have a light source and camera that track eye movement by detecting reflections off the eye. This data provides information on where a person looks, their visual attention, and other eye metrics. Eye tracking gives insights into human visual behavior and decision making.
· One pageThe Secret Universe of the CellDocumentary - The Hid.docxoswald1horne84988
· One page
The Secret Universe of the Cell
Documentary - The Hidden Life of the Cell- https://youtu.be/SoIP1_fbNpI
• Create a document with 10 bullet point notes
Explain- 10 things you learned or find fascinating about
•The microscopic universe of the cell
•The complexity of cellular life and how it continues to evolve
•The epic battle between cells and viruses
Explain- Why human diversity & biodiversity in general is a vitally important factor in this ongoing battle between viruses and cells.
By now you should have a strong understanding of the history of intelligence in the U.S.; how the intelligence community functions; how intelligence is produced; and the role of local, state and the federal governments in intelligence activities. But, you may still be wondering where does all the information that these entities collect actually come from. And, just as importantly, how is this information obtained.
In lesson three, we learned about the intelligence process and used the Central Intelligence Agency’s (CIA’s) five-phase cycle to examine the various steps. As you recall, in the process, phase two is the collection phase. We briefly also identified and defined the six basic sources of information. These are referred to as “intelligence collection disciples” or the “INTs”
1. Human Intelligence (HUMINT)
2. Signals Intelligence (SIGINT) derived from all communications intelligence (COMINT), electronic intelligence (ELINT), or foreign instrumentation signals intelligence (FISINT).
3. Imagery Intelligence (IMINT)
4. Measurement and Signatures Intelligence (MASINT)
5. Open-Source Intelligence (OSINT)
6. Geospatial intelligence (GEOINT)
These six disciplines are the sources of all the information that is collected to produce intelligence products. Remember, it is a bit of a misperception that secret “movie-like” missions collect all information. While it is true that some is indeed collected in the more classic “spy” type way; a great deal of information is collected by looking at sources that everyone can access.
For the purposes of this class, we will use the Federal Bureau of Investigation’s (FBI’s) explanations of the first five INTs, which include a high level discussion of which members of the IC use the those INTs. The description of the last INT, GEOINT, remains the same as lesson three and is provided by the CIA.
Human Intelligence (HUMINT) is the collection of information from human sources. The collection may be done openly. For example: when FBI agents interview witnesses or suspects, or it may be done through clandestine or covert means (espionage). Within the United States, HUMINT collection is the FBI’s responsibility. Beyond U.S. borders, HUMINT is generally collected by the CIA, but also by other U.S. components abroad.
Signals Intelligence (SIGINT) refers to electronic transmissions that can be collected by ships, planes, ground sites, or satellites. Communications Intelligence (COMINT) is a type of SIGINT and refers to the.
Chapter 4 – Physical Evidence
Class Characteristics
When the characteristics of physical evidence are common to a group of objects or
persons, they may be termed class. Regardless of how thoroughly examined, such
evidence can be placed only into a broad category; an individual identification
cannot be made because there is a possibility of more than one source for the
evidence.
Individual Characteristics
Evidence with individual characteristics can be identified as originating with a
particular person or source.
Soil is the natural accumulation of earth materials, such as weathering rocks,
minerals, and decomposing plants, along with pollen.minerals, and decomposing plants, along with pollen.
1. Soil examinations can determine whether soils share a common
origin by comparing color, texture, and composition.
2. Although it is class characteristic evidence, the analysis of soil
evidence can help focus investigations and discredit alibis.
3. The pollen in soil or on plants and grass can also be very
significant in determining whether or not a suspect was at the scene.
Locating and Handling Soil Evidence
Soil evidence may be important when the suspect drives or walks on unpaved
areas, so that it is picked up by tire treads or the bottom of shoes and cuffs of
the pants. It may also be recovered in a number of other places, such as the
floor board of the subject's car or on articles in the trunk of his vehicle,
including shovels and blankets.
Preserving Shoe/Footwear Prints
Footwear prints may, or may not be readily visible. If they are not immediately
apparent, turn the lights off and search for them using a flashlight.
Comparing Shoe Print Evidence
SICAR is a software package which classifies, archives, and identifies shoe prints.
Preserving Footwear Impressions
As in the case with footwear prints, the location of footwear impressions should be
photographed as part of the general scene and then with a scale.
Preserving Shoe Impressions in Snow
Dental stone is also the preferred material for casting impressions in snow,
replacing the more difficult and time consuming process of using sulfur, which has to
be heated.
Photographs of footwear impressions at a crime scene
In the first photo only the impressions are shown
In a subsequent photo a ruler will be added to show sizes
Later casts will be made of the impressions
GLASS
Glass is important as physical evidence because of the frequency with which it is
encountered.
A. It is essential that the crime scene technician and investigator
understand the ways in which glass reacts to force.
B. Handling Glass Evidence
Tape should not be used to collect glass evidence and any processing for latent
prints is ordinarily done in the laboratory.
An important question often associated with motor vehicle accidents and hit-
and-run cases involves whether or not the lights of a suspect vehicle were and-run cases involves wheth.
Biometrics Iris Scanning: A Literature ReviewOlivia Moran
The interest in Biometrics from both governments and industry has lead to the emergence of multiple Biometric technologies all with their own strengths and flaws. One currently at the forefront of Biometrics is iris scanning.
The process involved in the identification and verification of people using iris scanning is examined in this paper. The advantages and disadvantages associated with the utilisation of such a technology are also explored. A number of legal and ethical issues are highlighted. Iris scanning is looked at in comparison to other forms of Biometric technologies. Future work in the area of Biometrics is also considered in light of current developments.
Performance of Gabor Mean Feature Extraction Techniques for Ear Biometrics Re...shritosh kumar
Abstract
Ear biometric recognition is used in a lot of applications as person identification in
criminal cases, investigation, and security purpose. Feature optimization stage
has an important role for accuracy of correct recognition. Gabor filter have a
problem of high dimension and high redundancy. Sampling filter is a problem of
not reducing features optimum way. In the proposed Gabor feature extraction
technique the Gabor features are filtered using proposed mean filter and obtained
optimum features for ear biometric dataset.
Review of Detection & Recognition Techniques for 2D Ear Biometrics Systemshritosh kumar
This document discusses ear biometrics for human identification. It begins by describing the three common methods of authentication: possession-based (e.g. IDs), knowledge-based (e.g. passwords), and biometric-based (e.g. fingerprints). It then focuses on ear biometrics, noting that ears have properties that make them suitable for identification like universality, uniqueness, and permanence. Several public ear image databases are described that can be used to test ear recognition algorithms. Detection and recognition techniques for 2D ear biometrics are then reviewed.
This presentation contains a case study on the project WildME which is based on computer vision and is helping in detecting aminals all across the world.
The document provides instructions for creating an account and submitting a request on the website HelpWriting.net in order to have an assignment written. It outlines a 5-step process: 1) Create an account with an email and password. 2) Complete a form with assignment details and deadline. 3) Review bids from writers and choose one. 4) Receive the paper and authorize payment if satisfied. 5) Request revisions to ensure satisfaction, and the website guarantees original, high-quality work with refunds for plagiarism.
The document defines observation and discusses its importance in science. It provides context around:
1) Observation involves actively acquiring information through the senses or scientific instruments. It plays a key role in formulating hypotheses and testing them through experiments in the scientific method.
2) Observations need to be reproducible and comparable between observers, so measurement was developed to allow objective recording of observations.
3) Scientific instruments aid observation by translating phenomena into perceptible forms and reducing human biases, though the observer effect can still influence the process being observed.
Speakers: Ben Sullivan, Head of European Operations, KE Software and Mr David Smith, Collections Manager (Petrology, Ocean Bottom Deposits and
Building Stones) and Departmental Loans Manager, Mineralogy Department,
Natural History Museum
This presentation shows how collection data can be presented visually so that staff
and management can monitor the ongoing care of the collections. The visual aids help
justify to management and funding bodies about the need for good collections
care practices.
Lifelogging, egocentric vision and health: how a small wearable camera can he...Petia Radeva
Petia Radeva discusses how lifelogging and wearable cameras can help improve health. Computer vision and deep learning techniques can be applied to extract useful information from large amounts of egocentric image data. Key information that can be derived includes what a person eats, where and with whom they eat, and how active they are. This type of quantified self-data has the potential to help manage health conditions like obesity, diabetes and migraines by identifying triggers and monitoring lifestyle factors and habits over time. Lifelogging also shows promise for cognitive treatment of patients with amnesia or mild cognitive impairment.
The document discusses several biometric methods including palm print recognition, ear biometrics, and DNA biometrics. For palm print recognition, it describes how palm prints contain unique ridge characteristics similar to fingerprints and can be used for identification. It outlines the palm print recognition process including acquisition, preprocessing, feature extraction, matching, and database storage. For ear biometrics, it discusses different identification methods using ear photos, earmarks, and thermograms. DNA biometrics is described as using genetic analysis to identify individuals from biological samples and its use in forensic science, medical diagnosis, and establishing ancestry.
This document contains summaries of various health tracking devices and apps presented at a Quantified Self conference on September 13, 2013. It describes devices that measure sleep tracking, heart rate, posture, stress, eye health, and more. It also mentions the Quantified Self Global Conference in October 2013 and seeks a Health 2.0 chapter co-head. Various references and resources are provided at the end about quantified self sensors, life logging, and the digital health revolution.
Eye tracking technology measures eye movements and gaze using cameras and light sources. It has various applications in research and product design. Eye trackers generally use infrared light and cameras to track the reflection of light sources off the eye to determine where a person is looking. Researchers can use eye tracking data to observe what stimuli capture people's attention and where their visual focus lies. The technology provides an unobtrusive way to understand how people interact with and process their environments.
This document discusses citizen science, which involves members of the public collaborating with scientists on research projects. It provides examples of current citizen science projects including eMammal, where participants set up camera traps to photograph local wildlife. Muddy Microbes involves collecting and identifying microbes in soil samples. Shark Teeth Fossils has participants analyzing fossils found at a quarry. The document outlines benefits for students, educators, and scientists of participating in citizen science. These include contributing to real research, increasing STEM interest, and expanding the scope of data collection. Steps for becoming a citizen scientist include finding a project of interest and learning required tools and methods.
1) The document discusses using wearable sensors and augmented reality to capture expert experiences and knowledge and allow trainees to re-enact and experience those experiences.
2) Key aspects that are captured include gaze direction, videos, audio, gestures, physiological data, and positioning of the expert in an environment. This data is stored and synchronized to create an experience recording.
3) Trainees can then re-enact the expert's experience in real-time by having the expert's contextualized data augmented onto their own experience through methods like displaying the expert's position or where they were looking. This allows the trainee to experience the presence of the expert during tasks.
There have been research on the CCTV (closed circuit television) for safety purpose as an investigative tool. Using CCTV was associated with very significantly increased chance of crime have been solved for all crime types. Evidences like images are most likely used to catch the person who did the crime, the usefulness of CCTV is limited by several factors ,mostly the public areas are not covered .This research paper is on all about how CCTV has been useful for humans for secure and safety purpose. Electronic Surveillance features of society globally , this paper also focus on healthcare context. This paper is based on what I have researched while searching topic on Electronics Surveillance. Gauri Phadtare | Anushree Goud"Electronic Surveillance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018, URL: http://www.ijtsrd.com/papers/ijtsrd14335.pdf http://www.ijtsrd.com/computer-science/other/14335/electronic-surveillance/gauri-phadtare
Eye Tracking Software model of left right allAtharvaTanawade
Eye tracking technology measures eye movements and gaze using cameras and light sources. It has various applications in research and product design. Eye trackers generally have a light source and camera that track eye movement by detecting reflections off the eye. This data provides information on where a person looks, their visual attention, and other eye metrics. Eye tracking gives insights into human visual behavior and decision making.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
The technology uses reclaimed CO₂ as the dyeing medium in a closed loop process. When pressurized, CO₂ becomes supercritical (SC-CO₂). In this state CO₂ has a very high solvent power, allowing the dye to dissolve easily.
The cost of acquiring information by natural selectionCarl Bergstrom
This is a short talk that I gave at the Banff International Research Station workshop on Modeling and Theory in Population Biology. The idea is to try to understand how the burden of natural selection relates to the amount of information that selection puts into the genome.
It's based on the first part of this research paper:
The cost of information acquisition by natural selection
Ryan Seamus McGee, Olivia Kosterlitz, Artem Kaznatcheev, Benjamin Kerr, Carl T. Bergstrom
bioRxiv 2022.07.02.498577; doi: https://doi.org/10.1101/2022.07.02.498577
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
PPT on Direct Seeded Rice presented at the three-day 'Training and Validation Workshop on Modules of Climate Smart Agriculture (CSA) Technologies in South Asia' workshop on April 22, 2024.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
2. Schedule (2-4pm)
0:00 - 0:30 Making observations in iNaturalist
0:30 - 1:15 In field observations
1:15 - 1:30 Uploading
1:30 - 1:00 Data Mining / Identifying
3. Video: How to make an observation withe the app
Video: How to upload observations via the web - DSLR etc
4. Citizen Science Wins
Typocerus gloriosus
Last seen 1976!
Only 5 specimens have ever been documented. This is the only with
photographic evidence.
Myxostoma petiverianum
Last seen 1905!
5. Creating Open Useable Data
1. Share your location
2. Approach every observation as a new
discussion as to the identity of the organism
3. Clear and descriptive photographs
6. Photographing Plants for IDs
Full Body shot
Leaf shot
Often times it
helps to isolate
the leaf against
a background
like a hand or
sheet of paper
Habitat shot
Often times this might
be the same as your
full body shot.
Fruits and Flowers
Depending on the
flower type you may
want to take multiple
images to capture
unique aspects. A
good rule of them is
one shot from the top
and one from the
bottom
7.
8.
9. Cellphone photography tricks
1) Lighting - shooting in the shadows often times
will give you better texture.
2) AF/AE Lock & Exposure - hold down finger on
place you want to focus. Slide sun up and down to
adjust exposure
.
14. Data Mining (lite)
Most of the useful tools are accessible through the browser and you can
export tab delimited files etc if you are getting really into data mining and
looking at big data sets. For this talk we are going to look at the low volume
data mining options that casual observers might be interested in