Doctor Frankenstein sings a silly song about how the bones in the body connect while assembling his creature, and then instructs the newly created Frankenstein's monster to touch different parts of its body to test its mobility and function.
Proposal presentation - Health diagnostic by face imagesYen Ho
This document is a literature review proposal for researching health diagnostics using facial analysis on mobile devices. It discusses how facial analysis could help detect medical issues early during the "golden hour" window for treatment. However, there are privacy and technical challenges to solving, including how to perform fast analysis on large databases while ensuring anonymity of personal photos and health data. The proposal outlines plans to focus on the privacy problem and explore converting photos into computer-readable models to anonymize the information over the next 3 years.
This document lists and categorizes the main parts of the human body under the headings of head, body, and limbs. The head section includes the face with features like eyes, ears, nose, and mouth as well as the skull. The body section specifies the back, ribs, and column. Limbs are broken down further into shoulders, arms, elbows, wrists, hands, fingers, hips, legs, knees, ankles, and feet.
The longest bone in the human body is the femur or thigh bone. The document lists different bones like the skull, finger bones, and humerus but identifies the femur as the longest. It notes that a measuring tape would be needed to determine the actual longest bone.
This document summarizes a student's research project on visualizing learning activities in social networks using 3D visualization technology. The student developed a prototype called 3DLAV (3D Learning Activities Visualization) to address the problems of complexity in visualizing social network data and determining how visualization can help learning. An online survey of 24 participants found that over 80% agreed on the need for 3DLAV and that it could make learning more fun and easier. The student concludes that 3DLAV proves the hypothesis and could be further researched as a learning visualization framework, but recognizes weaknesses in not using real data and long-term user testing.
Proposal presentation - Health diagnostic by face imagesYen Ho
This document is a literature review proposal for researching health diagnostics using facial analysis on mobile devices. It discusses how facial analysis could help detect medical issues early during the "golden hour" window for treatment. However, there are privacy and technical challenges to solving, including how to perform fast analysis on large databases while ensuring anonymity of personal photos and health data. The proposal outlines plans to focus on the privacy problem and explore converting photos into computer-readable models to anonymize the information over the next 3 years.
This document lists and categorizes the main parts of the human body under the headings of head, body, and limbs. The head section includes the face with features like eyes, ears, nose, and mouth as well as the skull. The body section specifies the back, ribs, and column. Limbs are broken down further into shoulders, arms, elbows, wrists, hands, fingers, hips, legs, knees, ankles, and feet.
The longest bone in the human body is the femur or thigh bone. The document lists different bones like the skull, finger bones, and humerus but identifies the femur as the longest. It notes that a measuring tape would be needed to determine the actual longest bone.
This document summarizes a student's research project on visualizing learning activities in social networks using 3D visualization technology. The student developed a prototype called 3DLAV (3D Learning Activities Visualization) to address the problems of complexity in visualizing social network data and determining how visualization can help learning. An online survey of 24 participants found that over 80% agreed on the need for 3DLAV and that it could make learning more fun and easier. The student concludes that 3DLAV proves the hypothesis and could be further researched as a learning visualization framework, but recognizes weaknesses in not using real data and long-term user testing.
This document provides information about Shree Asthavinayak Industries, a partnership firm located in Nagaur, Rajasthan, India. It operates a Buhler Colour Sortex plant to clean, destone, grade, and color sort spices and grains. The plant uses sophisticated equipment like an MTRA cleaner, magnet, destoner, elevators, and gravity separators. It stores and processes various products including mung, moth, fenugreek, mustard seeds, sesame seeds, mint, coriander, cumin, fennel, and others. Packing options include paper bags holding 50lb/22.68kg or PP bags of 55.25lb/25kg or 110.23lb/
This document proposes developing a mobile health diagnostic system using facial image analysis. It discusses using improved facial detection and feature extraction methods to analyze images for symptoms of conditions like facial palsy and stroke. Restricted Boltzmann Machines would be used to handle variations in expressions and poses. Data would need to be collected and classified by disease to train and test the system. The future plan is to implement this on mobile apps, set up a server to store sample data, address issues, and improve the algorithms and data.
This experiment mixes soda, hot water, and food coloring to test how water behaves when applied to a window. It was predicted that the water would evaporate and become gaseous after being applied with a sponge. The conclusion confirmed that the water did evaporate and become a gas as expected.
This document describes an experiment to demonstrate air pressure. Families are asked to place a piece of paper in a small glass of water, which is then placed inside a larger glass of water. They are instructed to observe whether the paper gets wet and asked to write any comments. The purpose is to show through observation whether air pressure prevents water from transferring between the inner and outer glasses.
Facial Feature Tracking under Varying Facial Expressions and Face Poses based...Yen Ho
This is the 2nd key paper: Facial Feature Tracking under Varying Facial Expressions and Face Poses based on Restricted Boltzmann Machines
For faces with expression
This document describes using agglomerative nesting (AGNES) for company clustering. It introduces data mining and hierarchical clustering methods. AGNES is an agglomerative hierarchical clustering algorithm that does not require specifying the number of clusters in advance. The document demonstrates applying AGNES to cluster companies using stock market return rate data from NASDAQ, which is preprocessed and normalized. The results are compared. AGNES is well-suited for this application because it is not sensitive to noise and only needs to be run once to determine the optimal clustering.
The document discusses the importance of calcium for strong bones. It notes that calcium comes from foods like milk, cheese, broccoli, salmon, and yogurt. The document instructs readers to observe a chicken bone before and after soaking it in vinegar for five days to see how a lack of calcium can cause bones to become weak and flexible over time.
Fully Automatic Facial Feature Point Detection Using Gabor Feature Based Boos...Yen Ho
This is a key paper : Fully Automatic Facial Feature Point Detection Using Gabor Feature Based Boosted Classifiers - face detection (100%) & feature extraction(93%) for expressionless faces
A microcontroller is a small computer on a single integrated circuit containing a processor core, memory, and input/output peripherals. The first microcontroller, the Intel 4004, was created in 1971. Microcontrollers can be categorized by architecture (Harvard or Von Neumann) or by vendor. Programming a microcontroller involves writing code, burning the program onto the microcontroller chip using a programmer tool, and then connecting it to external devices. Microcontrollers are widely used in applications such as engine control systems, medical devices, power systems, remote controls, and more.
This document provides information about Shree Asthavinayak Industries, a partnership firm located in Nagaur, Rajasthan, India. It operates a Buhler Colour Sortex plant to clean, destone, grade, and color sort spices and grains. The plant uses sophisticated equipment like an MTRA cleaner, magnet, destoner, elevators, and gravity separators. It stores and processes various products including mung, moth, fenugreek, mustard seeds, sesame seeds, mint, coriander, cumin, fennel, and others. Packing options include paper bags holding 50lb/22.68kg or PP bags of 55.25lb/25kg or 110.23lb/
This document proposes developing a mobile health diagnostic system using facial image analysis. It discusses using improved facial detection and feature extraction methods to analyze images for symptoms of conditions like facial palsy and stroke. Restricted Boltzmann Machines would be used to handle variations in expressions and poses. Data would need to be collected and classified by disease to train and test the system. The future plan is to implement this on mobile apps, set up a server to store sample data, address issues, and improve the algorithms and data.
This experiment mixes soda, hot water, and food coloring to test how water behaves when applied to a window. It was predicted that the water would evaporate and become gaseous after being applied with a sponge. The conclusion confirmed that the water did evaporate and become a gas as expected.
This document describes an experiment to demonstrate air pressure. Families are asked to place a piece of paper in a small glass of water, which is then placed inside a larger glass of water. They are instructed to observe whether the paper gets wet and asked to write any comments. The purpose is to show through observation whether air pressure prevents water from transferring between the inner and outer glasses.
Facial Feature Tracking under Varying Facial Expressions and Face Poses based...Yen Ho
This is the 2nd key paper: Facial Feature Tracking under Varying Facial Expressions and Face Poses based on Restricted Boltzmann Machines
For faces with expression
This document describes using agglomerative nesting (AGNES) for company clustering. It introduces data mining and hierarchical clustering methods. AGNES is an agglomerative hierarchical clustering algorithm that does not require specifying the number of clusters in advance. The document demonstrates applying AGNES to cluster companies using stock market return rate data from NASDAQ, which is preprocessed and normalized. The results are compared. AGNES is well-suited for this application because it is not sensitive to noise and only needs to be run once to determine the optimal clustering.
The document discusses the importance of calcium for strong bones. It notes that calcium comes from foods like milk, cheese, broccoli, salmon, and yogurt. The document instructs readers to observe a chicken bone before and after soaking it in vinegar for five days to see how a lack of calcium can cause bones to become weak and flexible over time.
Fully Automatic Facial Feature Point Detection Using Gabor Feature Based Boos...Yen Ho
This is a key paper : Fully Automatic Facial Feature Point Detection Using Gabor Feature Based Boosted Classifiers - face detection (100%) & feature extraction(93%) for expressionless faces
A microcontroller is a small computer on a single integrated circuit containing a processor core, memory, and input/output peripherals. The first microcontroller, the Intel 4004, was created in 1971. Microcontrollers can be categorized by architecture (Harvard or Von Neumann) or by vendor. Programming a microcontroller involves writing code, burning the program onto the microcontroller chip using a programmer tool, and then connecting it to external devices. Microcontrollers are widely used in applications such as engine control systems, medical devices, power systems, remote controls, and more.