UAIPD 15-0013
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This document summarizes a new technology for improving scanning probe microscopes. The technology uses a microcantilever with multiple piezoelectric sensors attached to measure deflection. A consensus algorithm analyzes the sensors to provide the most accurate measurement of deflection. This eliminates the need for an expensive laser positioning system and allows operation even if a sensor fails. The technology was invented by Dr. Nima Mahmoodi to increase the accuracy of scanning probe microscopes.
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Presentation UAIPD 15-0013
This document describes a new multi-piezoelectric microcantilever technology that improves scanning probe microscopy. It uses multiple piezoelectric materials attached to a microcantilever to sense its deflection without a laser, and a consensus algorithm to provide the most accurate estimation. This novel combination increases scanning probe microscope accuracy and enables operation even if some piezoelectric sensors fail. The technology was invented by Dr. Nima Mahmoodi from the University of Alabama Mechanical Engineering department.
Mems gyro
MEMS gyroscopes use microelectromechanical systems technology to sense rotation and turning motions. They contain tiny integrated mechanical and electrical components on a semiconductor chip that are designed to interact with their environment. MEMS gyroscopes detect rotation by taking advantage of the Coriolis effect on vibrating mechanical structures as the chip spins or rotates. They have a variety of applications including positioning spacecraft, detecting steering errors in vehicles, stabilizing images in cameras, and enabling motion sensing in gaming consoles and smartphones.
Mems (micro electro mechanical systems)
The document discusses Micro-Electro-Mechanical Systems (MEMS), which is a technology that creates tiny integrated devices combining mechanical and electrical components, ranging in size from micrometers to millimeters. As an example, it describes the DENSO Micro-Car, a miniature version of Toyota's first passenger car fabricated at 1/1000 the size using MEMS. It also provides information on MEMS applications, commercialization, fabrication methods, and industry challenges.
SMART DUST
Smart dust is a system of many tiny sensors and devices that can detect things like light, temperature, and chemicals. It consists of small battery-powered nodes called motes that communicate wirelessly. Smart dust uses microelectronics, MEMS technology, and Wi-Fi to monitor things in various applications such as defense, healthcare, and environmental monitoring. However, challenges remain regarding its power consumption and fitting all components into such small sizes.
mems ppt
MEMS (micro-electro-mechanical systems) combine mechanical and electrical functions on a single chip using microfabrication technology. The fabrication process for MEMS is similar to that used for making electronic circuits and involves steps such as chemical deposition, physical deposition, lithography, and etching. MEMS can be used to develop microsensors using materials like metals, polymers, ceramics, semiconductors, and composites. Common applications of MEMS include accelerometers, which have advantages over conventional accelerometers such as lower cost, smaller size, and lower power requirements.
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 01
This document discusses Micro Electro Mechanical Systems (MEMS). It defines MEMS as the integration of mechanical elements, sensors, actuators and electronics on a common silicon substrate through microfabrication technology. It provides a brief history of MEMS development from the 1950s to present day. It also discusses Moore's Law and the need to go beyond Moore's Law to continue advancing semiconductor chip technology.
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 03
This document discusses microsystems and MEMS. It covers micro sensors and actuators, components of microsystems including sensors, actuators and a processing unit. It compares microelectronics and microsystems technology and discusses intelligent microsystems that incorporate signal processing. Examples of successful MEMS devices are provided like micro gears, motors, turbines and switches. The principles of science involved in microsystem design are outlined. Animation demos of various MEMS devices are listed at the end.
Smart dust using mems
Smart dust consists of tiny wireless sensor nodes called "motes" that contain sensors, computing circuits, communication technology, and a power supply integrated on a dust-sized device. These motes form networks to transmit sensor data like temperature, humidity, light, and vibrations back to a central computer. Each mote has an ambient sensor, wireless transmitter, CPU, and power source. Researchers are working to miniaturize components using MEMS and integrated circuit technology to create smarter and smaller smart dust networks for applications in defense, healthcare, environment monitoring, and more. Challenges include reducing size, weight, and power consumption of the motes.
Recommended
Presentation UAIPD 15-0013
This document describes a new multi-piezoelectric microcantilever technology that improves scanning probe microscopy. It uses multiple piezoelectric materials attached to a microcantilever to sense its deflection without a laser, and a consensus algorithm to provide the most accurate estimation. This novel combination increases scanning probe microscope accuracy and enables operation even if some piezoelectric sensors fail. The technology was invented by Dr. Nima Mahmoodi from the University of Alabama Mechanical Engineering department.
Mems gyro
MEMS gyroscopes use microelectromechanical systems technology to sense rotation and turning motions. They contain tiny integrated mechanical and electrical components on a semiconductor chip that are designed to interact with their environment. MEMS gyroscopes detect rotation by taking advantage of the Coriolis effect on vibrating mechanical structures as the chip spins or rotates. They have a variety of applications including positioning spacecraft, detecting steering errors in vehicles, stabilizing images in cameras, and enabling motion sensing in gaming consoles and smartphones.
Mems (micro electro mechanical systems)
The document discusses Micro-Electro-Mechanical Systems (MEMS), which is a technology that creates tiny integrated devices combining mechanical and electrical components, ranging in size from micrometers to millimeters. As an example, it describes the DENSO Micro-Car, a miniature version of Toyota's first passenger car fabricated at 1/1000 the size using MEMS. It also provides information on MEMS applications, commercialization, fabrication methods, and industry challenges.
SMART DUST
Smart dust is a system of many tiny sensors and devices that can detect things like light, temperature, and chemicals. It consists of small battery-powered nodes called motes that communicate wirelessly. Smart dust uses microelectronics, MEMS technology, and Wi-Fi to monitor things in various applications such as defense, healthcare, and environmental monitoring. However, challenges remain regarding its power consumption and fitting all components into such small sizes.
mems ppt
MEMS (micro-electro-mechanical systems) combine mechanical and electrical functions on a single chip using microfabrication technology. The fabrication process for MEMS is similar to that used for making electronic circuits and involves steps such as chemical deposition, physical deposition, lithography, and etching. MEMS can be used to develop microsensors using materials like metals, polymers, ceramics, semiconductors, and composites. Common applications of MEMS include accelerometers, which have advantages over conventional accelerometers such as lower cost, smaller size, and lower power requirements.
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 01
This document discusses Micro Electro Mechanical Systems (MEMS). It defines MEMS as the integration of mechanical elements, sensors, actuators and electronics on a common silicon substrate through microfabrication technology. It provides a brief history of MEMS development from the 1950s to present day. It also discusses Moore's Law and the need to go beyond Moore's Law to continue advancing semiconductor chip technology.
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 03
This document discusses microsystems and MEMS. It covers micro sensors and actuators, components of microsystems including sensors, actuators and a processing unit. It compares microelectronics and microsystems technology and discusses intelligent microsystems that incorporate signal processing. Examples of successful MEMS devices are provided like micro gears, motors, turbines and switches. The principles of science involved in microsystem design are outlined. Animation demos of various MEMS devices are listed at the end.
Smart dust using mems
Smart dust consists of tiny wireless sensor nodes called "motes" that contain sensors, computing circuits, communication technology, and a power supply integrated on a dust-sized device. These motes form networks to transmit sensor data like temperature, humidity, light, and vibrations back to a central computer. Each mote has an ambient sensor, wireless transmitter, CPU, and power source. Researchers are working to miniaturize components using MEMS and integrated circuit technology to create smarter and smaller smart dust networks for applications in defense, healthcare, environment monitoring, and more. Challenges include reducing size, weight, and power consumption of the motes.
Smart dust
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AN ENERGY AWARE FUZZY APPROACH TO UNEQUAL CLUSTERING IN WIRELESS SENSOR NETWO...
This presentation discusses an energy-aware fuzzy approach to unequal clustering in wireless sensor networks. It first provides background on wireless sensor networks, including their structure, applications, and challenges related to energy constraints. It then reviews related work on clustering algorithms like LEACH. The proposed work introduces a fuzzy logic-based approach using random value generation, threshold values, and competition radius to select cluster heads in a way that maximizes energy efficiency. The conclusion reiterates that energy conservation is important for WSNs and that while LEACH uses probability, the proposed approach aims to better optimize energy consumption.
Smart dust
This document discusses smart dust, which are tiny wireless sensing devices that can measure light, temperature, vibration and other environmental factors. Smart dust was invented in 2001 and funded by DARPA for military surveillance applications. Individual smart dust motes are only a few millimeters in size and contain sensors, microprocessors, radio transmitters and batteries. They are designed to operate autonomously for weeks to years while wirelessly communicating sensor readings to other devices. Potential uses include distributed environmental monitoring, military surveillance networks and future planetary exploration.
Smart dust
Smart dust is a network of tiny sensor motes that can detect environmental conditions like light and vibrations. Each mote contains sensors and computational ability to communicate wirelessly with other motes or a base station. Though constrained by their small size, the motes conserve power by powering on intermittently to perform tasks then powering off. Potential applications include environmental monitoring and situations where wired sensors are impractical. While smart dust enables connectivity and low costs, privacy concerns and challenges around power management and self-maintenance exist. However, companies are investing in the technology to integrate it into future systems and networks.
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
This document provides an overview of microelectromechanical systems (MEMS). It discusses the advantages of MEMS such as small size, low cost, and precision movement. Examples of applications are given in industries like automotive, healthcare, aerospace, and consumer products. Limitations of MEMS like friction and heat dissipation are also outlined. Visual examples of MEMS devices like accelerometers, micro robots, and pressure sensors are presented.
Mems Based Motor Fault Detection in Windmill Using Neural Networks
Today wind turbine technology is one of the fastest growing power generation technologies operating in large numbers at harsh and difficult environment sites and it is difficult to monitor each and every windmill separately. There are times when faults occur in motors of windmills are not detected in earlier stage and we come to know about damage when motor gets fully damaged. Here we using wireless monitoring based on MEMS accelerometer sensor which senses the vibrations occurring in the motor and based on the severity of vibrations, sensor sends the data to the controlling unit to take further action. Neural network based work is included to get the accurate and precise vibratory signals to detect fault at a very early stage to avoid full damage to the motor.
Smart dust
Smart dust consists of tiny sensor-equipped motes that can monitor environments through sensing conditions and communicating wirelessly. The motes contain MEMS components like sensors, optical communication tools, and solar cells. They face challenges with size, weight, power consumption, and complexity. Communication occurs through radio frequency, passive laser beams using retroreflectors, or active laser transmission depending on the application and environment. Potential applications include security, health monitoring, automation, and environmental monitoring.
Smart Dust - A Little Wonder
Smart dust are tiny wireless sensors that can detect things like light, temperature, and vibrations. They are called "motes" and contain sensors, computing circuits, wireless communication, and a power supply integrated into a dust-sized device. Smart dust motes relay sensor signals back to a central computer and are being researched for uses like monitoring environments, tracking objects, and circulating inside the human body to detect health issues. Challenges include reducing their size, weight, and power consumption to enable longer operation times.
Role of mems in medical field
MEMS combines microscale mechanical and electrical components to create integrated systems. In medical applications, MEMS enables new endoscopy devices like a "lab on a pill" with a camera and sensors to view the entire small intestine without sedation. MEMS also allows for smart pills that can automatically deliver drugs on demand when implanted in the body. MEMS technology is expanding what is possible in both sensing environments and controlling systems by merging small sensors and actuators with information processing.
Smart dust
This presentation contains information about one of the future leading technology. Its uses and current implementation
Presentation03 27 03
This document discusses a research project using MEMS "smart dust motes" for intelligent lighting control. The goals are to use wireless sensor networks to better understand occupancy patterns, validate sensor readings, and optimize lighting for energy savings while considering user preferences. Researchers plan to characterize mote sensors, develop validation and fusion algorithms, and eventually implement a smart lighting system in the BEST Lab to automatically control dimming based on human presence and interactions. This would personalize lighting while reducing electricity costs.
Smart dust
Smart dust is a network of tiny sensor-equipped motes that can monitor environmental conditions. Each mote contains sensors, memory, a processor, and a means of communication. They are self-contained and can communicate with each other or a base station depending on the application. While smart dust provides benefits like environmental monitoring and safety applications, challenges remain in minimizing their size and power needs while ensuring privacy and security of the data.
SMART DUST
Smart dust is a network of tiny sensor-enabled devices called motes that can monitor environmental conditions. Each mote contains sensors, computing power, wireless communication, and an autonomous power supply within a volume of a few millimeters. They communicate with each other and a base station using radio frequency or optical transmission. Major challenges in developing smart dust include fitting all components into a small size while minimizing energy usage. Potential applications include environmental monitoring, healthcare, security, and traffic monitoring.
Smartdust
Smart dust consists of tiny autonomous sensing devices called motes that are less than 1.5mm3 in volume and 5mg in mass. Motes can collect sensor data and transmit it wirelessly over distances of 15-50m to a base station using radio frequency, passive optical reflectors, or active laser transmitters. They incorporate sensors, microprocessors, memory, transmitters and receivers, and thick film batteries or solar cells to operate independently for long periods with very low power usage. Potential applications include environmental monitoring, infrastructure inspection, health monitoring, and more.
mems and nems
This document discusses micro and nano electromechanical systems (MEMS and NEMS). It begins by explaining Richard Feynman's vision of building small machines and devices. It then defines MEMS and NEMS as devices that convert electrical and mechanical energy. Examples of MEMS applications include sensors, optical devices, and fluidic systems. NEMS promise even smaller devices for applications like accelerometers, inkjet nozzles, and medicine. The document outlines fabrication techniques for MEMS like deposition, lithography, and etching. It concludes by noting the future potential of these technologies and references for further information.
Abs smartdust network for tactical border surveillance system to detect, clas...
Thousands of small, wireless sensor nodes called "smartdust" could be deployed along borders to detect, classify, and track enemy intrusions. Each smartdust mote contains multiple sensors to detect vibrations, magnetic signals, acoustic sounds, and thermal signatures that can identify vehicles, weapons, and individuals. The smartdust motes form a self-organizing wireless network to communicate intrusion data to a central monitoring node for display. This smartdust network provides an innovative solution for continuously monitoring large, complex border areas that cannot be effectively surveilled by other means.
Smart dust
Smart dust is a system of tiny wireless sensor nodes called "motes" that can detect things like light, temperature, etc. These motes use MEMS technology to build small sensors and communication components. They are powered by even smaller power supplies. Each mote is run by a microcontroller that reads sensor data and stores it in memory. The microcontroller then uses an onboard laser or mirror to transmit the data optically to a base station or other motes remotely. This allows the user to change the behavior of the motes from a distance. Communication can happen either through radio frequency or optical signals bounced using lasers, allowing simultaneous data collection from thousands of sensors.
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The document describes a wireless sensor system for remote patient monitoring. The system uses various medical and environmental sensors connected to Arduino boards with XBee modules to collect data like heart rate, temperature, and battery level. The sensors transmit data via ZigBee to a Raspberry Pi server storing the information in a MySQL database. Healthcare professionals can access the remote data through a Java GUI. The system aims to safely and cost-effectively monitor patients, providing real-time alerts and flexible remote access to patient data.
Labview based wireless sensor for monitoring the building
1) An advanced simulation using LABVIEW software provides an effective solution for building monitoring using custom MEMS sensors and read-out ASICs combined with an optimized low-power network architecture.
2) The system realizes long battery life, low cost, and high-quality sensor data to assess earthquake damage in real-time by measuring strain, acceleration, temperature and other data.
3) The sensors have been validated in a full-scale laboratory setup and can help prevent human casualties by showing temperature levels during earthquakes via the LABVIEW software interface.
Smart dust
Smart dust consists of sensor-laden computer nodes that are just cubic millimeters in size. The Smart Dust project at Berkeley aims to incorporate sensing, communication, computing and power supply capabilities into nodes that are only a few cubic millimeters in volume. These nodes, called "smart dust", use MEMS technology and could potentially be small enough to float in air currents while sensing and communicating for hours or days. The goal is to create a massively distributed wireless sensor network using tiny smart dust nodes that are the size of grains of sand and contain sensors, computation, communication and a power supply.
Spm And Sicm Lecture
Scanning probe microscopy uses a probe that senses physical changes as it approaches a sample surface. Scanning tunneling microscopy uses a metallic tip to detect tunneling current from a conducting sample. Atomic force microscopy detects attractive or repulsive forces between a tip on a cantilever and the sample surface. Scanning ion conductance microscopy uses a micropipette probe to measure ion currents in a conductive liquid, allowing contact-free imaging of cells and other isolating samples at high resolution.
V:\Desktop\Scanning Tunneling Microsopy
This document summarizes a student's final project using scanning tunneling microscopy (STM) to image samples at the atomic level. STM uses a sharp tip to scan surfaces and map topography by maintaining a constant current between the tip and sample. The student imaged dibenzo[a,l]pentacene but encountered issues with too much current, noise, and vibration. To improve, the student recommends using less current, reducing vibration and noise, and maintaining a cool temperature. The student learned about using large versus small tunneling currents and troubleshooting if the scope is not working properly.
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AN ENERGY AWARE FUZZY APPROACH TO UNEQUAL CLUSTERING IN WIRELESS SENSOR NETWO...
This presentation discusses an energy-aware fuzzy approach to unequal clustering in wireless sensor networks. It first provides background on wireless sensor networks, including their structure, applications, and challenges related to energy constraints. It then reviews related work on clustering algorithms like LEACH. The proposed work introduces a fuzzy logic-based approach using random value generation, threshold values, and competition radius to select cluster heads in a way that maximizes energy efficiency. The conclusion reiterates that energy conservation is important for WSNs and that while LEACH uses probability, the proposed approach aims to better optimize energy consumption.
Smart dust
This document discusses smart dust, which are tiny wireless sensing devices that can measure light, temperature, vibration and other environmental factors. Smart dust was invented in 2001 and funded by DARPA for military surveillance applications. Individual smart dust motes are only a few millimeters in size and contain sensors, microprocessors, radio transmitters and batteries. They are designed to operate autonomously for weeks to years while wirelessly communicating sensor readings to other devices. Potential uses include distributed environmental monitoring, military surveillance networks and future planetary exploration.
Smart dust
Smart dust is a network of tiny sensor motes that can detect environmental conditions like light and vibrations. Each mote contains sensors and computational ability to communicate wirelessly with other motes or a base station. Though constrained by their small size, the motes conserve power by powering on intermittently to perform tasks then powering off. Potential applications include environmental monitoring and situations where wired sensors are impractical. While smart dust enables connectivity and low costs, privacy concerns and challenges around power management and self-maintenance exist. However, companies are investing in the technology to integrate it into future systems and networks.
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
This document provides an overview of microelectromechanical systems (MEMS). It discusses the advantages of MEMS such as small size, low cost, and precision movement. Examples of applications are given in industries like automotive, healthcare, aerospace, and consumer products. Limitations of MEMS like friction and heat dissipation are also outlined. Visual examples of MEMS devices like accelerometers, micro robots, and pressure sensors are presented.
Mems Based Motor Fault Detection in Windmill Using Neural Networks
Today wind turbine technology is one of the fastest growing power generation technologies operating in large numbers at harsh and difficult environment sites and it is difficult to monitor each and every windmill separately. There are times when faults occur in motors of windmills are not detected in earlier stage and we come to know about damage when motor gets fully damaged. Here we using wireless monitoring based on MEMS accelerometer sensor which senses the vibrations occurring in the motor and based on the severity of vibrations, sensor sends the data to the controlling unit to take further action. Neural network based work is included to get the accurate and precise vibratory signals to detect fault at a very early stage to avoid full damage to the motor.
Smart dust
Smart dust consists of tiny sensor-equipped motes that can monitor environments through sensing conditions and communicating wirelessly. The motes contain MEMS components like sensors, optical communication tools, and solar cells. They face challenges with size, weight, power consumption, and complexity. Communication occurs through radio frequency, passive laser beams using retroreflectors, or active laser transmission depending on the application and environment. Potential applications include security, health monitoring, automation, and environmental monitoring.
Smart Dust - A Little Wonder
Smart dust are tiny wireless sensors that can detect things like light, temperature, and vibrations. They are called "motes" and contain sensors, computing circuits, wireless communication, and a power supply integrated into a dust-sized device. Smart dust motes relay sensor signals back to a central computer and are being researched for uses like monitoring environments, tracking objects, and circulating inside the human body to detect health issues. Challenges include reducing their size, weight, and power consumption to enable longer operation times.
Role of mems in medical field
MEMS combines microscale mechanical and electrical components to create integrated systems. In medical applications, MEMS enables new endoscopy devices like a "lab on a pill" with a camera and sensors to view the entire small intestine without sedation. MEMS also allows for smart pills that can automatically deliver drugs on demand when implanted in the body. MEMS technology is expanding what is possible in both sensing environments and controlling systems by merging small sensors and actuators with information processing.
Smart dust
This presentation contains information about one of the future leading technology. Its uses and current implementation
Presentation03 27 03
This document discusses a research project using MEMS "smart dust motes" for intelligent lighting control. The goals are to use wireless sensor networks to better understand occupancy patterns, validate sensor readings, and optimize lighting for energy savings while considering user preferences. Researchers plan to characterize mote sensors, develop validation and fusion algorithms, and eventually implement a smart lighting system in the BEST Lab to automatically control dimming based on human presence and interactions. This would personalize lighting while reducing electricity costs.
Smart dust
Smart dust is a network of tiny sensor-equipped motes that can monitor environmental conditions. Each mote contains sensors, memory, a processor, and a means of communication. They are self-contained and can communicate with each other or a base station depending on the application. While smart dust provides benefits like environmental monitoring and safety applications, challenges remain in minimizing their size and power needs while ensuring privacy and security of the data.
SMART DUST
Smart dust is a network of tiny sensor-enabled devices called motes that can monitor environmental conditions. Each mote contains sensors, computing power, wireless communication, and an autonomous power supply within a volume of a few millimeters. They communicate with each other and a base station using radio frequency or optical transmission. Major challenges in developing smart dust include fitting all components into a small size while minimizing energy usage. Potential applications include environmental monitoring, healthcare, security, and traffic monitoring.
Smartdust
Smart dust consists of tiny autonomous sensing devices called motes that are less than 1.5mm3 in volume and 5mg in mass. Motes can collect sensor data and transmit it wirelessly over distances of 15-50m to a base station using radio frequency, passive optical reflectors, or active laser transmitters. They incorporate sensors, microprocessors, memory, transmitters and receivers, and thick film batteries or solar cells to operate independently for long periods with very low power usage. Potential applications include environmental monitoring, infrastructure inspection, health monitoring, and more.
mems and nems
This document discusses micro and nano electromechanical systems (MEMS and NEMS). It begins by explaining Richard Feynman's vision of building small machines and devices. It then defines MEMS and NEMS as devices that convert electrical and mechanical energy. Examples of MEMS applications include sensors, optical devices, and fluidic systems. NEMS promise even smaller devices for applications like accelerometers, inkjet nozzles, and medicine. The document outlines fabrication techniques for MEMS like deposition, lithography, and etching. It concludes by noting the future potential of these technologies and references for further information.
Abs smartdust network for tactical border surveillance system to detect, clas...
Thousands of small, wireless sensor nodes called "smartdust" could be deployed along borders to detect, classify, and track enemy intrusions. Each smartdust mote contains multiple sensors to detect vibrations, magnetic signals, acoustic sounds, and thermal signatures that can identify vehicles, weapons, and individuals. The smartdust motes form a self-organizing wireless network to communicate intrusion data to a central monitoring node for display. This smartdust network provides an innovative solution for continuously monitoring large, complex border areas that cannot be effectively surveilled by other means.
Smart dust
Smart dust is a system of tiny wireless sensor nodes called "motes" that can detect things like light, temperature, etc. These motes use MEMS technology to build small sensors and communication components. They are powered by even smaller power supplies. Each mote is run by a microcontroller that reads sensor data and stores it in memory. The microcontroller then uses an onboard laser or mirror to transmit the data optically to a base station or other motes remotely. This allows the user to change the behavior of the motes from a distance. Communication can happen either through radio frequency or optical signals bounced using lasers, allowing simultaneous data collection from thousands of sensors.
Wireless Sensors in Health Care
The document describes a wireless sensor system for remote patient monitoring. The system uses various medical and environmental sensors connected to Arduino boards with XBee modules to collect data like heart rate, temperature, and battery level. The sensors transmit data via ZigBee to a Raspberry Pi server storing the information in a MySQL database. Healthcare professionals can access the remote data through a Java GUI. The system aims to safely and cost-effectively monitor patients, providing real-time alerts and flexible remote access to patient data.
Labview based wireless sensor for monitoring the building
1) An advanced simulation using LABVIEW software provides an effective solution for building monitoring using custom MEMS sensors and read-out ASICs combined with an optimized low-power network architecture.
2) The system realizes long battery life, low cost, and high-quality sensor data to assess earthquake damage in real-time by measuring strain, acceleration, temperature and other data.
3) The sensors have been validated in a full-scale laboratory setup and can help prevent human casualties by showing temperature levels during earthquakes via the LABVIEW software interface.
Smart dust
Smart dust consists of sensor-laden computer nodes that are just cubic millimeters in size. The Smart Dust project at Berkeley aims to incorporate sensing, communication, computing and power supply capabilities into nodes that are only a few cubic millimeters in volume. These nodes, called "smart dust", use MEMS technology and could potentially be small enough to float in air currents while sensing and communicating for hours or days. The goal is to create a massively distributed wireless sensor network using tiny smart dust nodes that are the size of grains of sand and contain sensors, computation, communication and a power supply.
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Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
Micro Electro Mechanical Systems (MEMS) Class Materials - Lecture 02
Mems Based Motor Fault Detection in Windmill Using Neural Networks
Mems Based Motor Fault Detection in Windmill Using Neural Networks
Abs smartdust network for tactical border surveillance system to detect, clas...
Abs smartdust network for tactical border surveillance system to detect, clas...
Labview based wireless sensor for monitoring the building
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Spm And Sicm Lecture
Scanning probe microscopy uses a probe that senses physical changes as it approaches a sample surface. Scanning tunneling microscopy uses a metallic tip to detect tunneling current from a conducting sample. Atomic force microscopy detects attractive or repulsive forces between a tip on a cantilever and the sample surface. Scanning ion conductance microscopy uses a micropipette probe to measure ion currents in a conductive liquid, allowing contact-free imaging of cells and other isolating samples at high resolution.
V:\Desktop\Scanning Tunneling Microsopy
This document summarizes a student's final project using scanning tunneling microscopy (STM) to image samples at the atomic level. STM uses a sharp tip to scan surfaces and map topography by maintaining a constant current between the tip and sample. The student imaged dibenzo[a,l]pentacene but encountered issues with too much current, noise, and vibration. To improve, the student recommends using less current, reducing vibration and noise, and maintaining a cool temperature. The student learned about using large versus small tunneling currents and troubleshooting if the scope is not working properly.
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This document provides information about a scanning tunneling microscope (STM) including its basic operating principles, design, modes of operation, applications, and related imaging techniques. The STM works by using the quantum tunneling effect to measure electric currents between a sharp tip and conductive sample surface. This allows it to image surfaces at the atomic level with high resolution. The document outlines the key components of an STM including the sample, scanning tip, piezoelectric scanner, and control electronics. It also describes the two main imaging modes of constant current and constant height. Common applications and examples of STM images showing atomic structures are also presented. Finally, related microscopy techniques developed from STM principles are briefly discussed.
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Basic principle and application of Scanning Electron Microscope (SEM), Tunneling Electron Microscope(TEM) and Atomic Force Microscope (AFM)
STM ppt
The document provides information about scanning tunneling microscopy (STM). It begins by explaining the quantum mechanical principles behind STM, specifically electron tunneling. It then describes the key components of an STM, including the scanning tip, piezoelectric scanner, distance control system, data processing unit, and vibration isolation system. The document discusses the two main imaging modes of STM - constant height mode and constant current mode. It also outlines how STM works by applying a voltage bias between the tip and sample and measuring the tunneling current. The document concludes by discussing advantages and disadvantages of STM as well as sources of artifacts in STM images.
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microelectromechanical systems, MEASUREMENTS AND INSTRUMENTATION
microelectromechanical systems, MEASUREMENTS AND INSTRUMENTATION
Mems unit 1 ppt
This document provides an introduction to microelectromechanical systems (MEMS). It defines MEMS as systems that combine electrical and mechanical components on the micrometer scale to sense and control the physical world. MEMS components include microsensors to detect environmental changes, an intelligent component to make decisions based on sensor input, and microactuators to change the environment based on the decisions. Common MEMS applications include accelerometers, inkjet printer heads, medical devices, and sensors in automobiles. The document discusses fabrication techniques like deposition, patterning, and etching used to create MEMS, as well as their advantages like low cost, small size, and high functionality.
Inspection metrology
Inspection metrology, automated ,off-line and on-line ,lasers metrology ,scanning laser systems ,cmm ,machine vision for inspection
Automatic Fabric Defect Detection with a Wide-And-Compact Network
The document presents an automatic fabric defect detection method called WACNet that uses a wide and compact convolutional neural network architecture. WACNet aims to improve detection accuracy while decreasing the model size for use in limited-resource systems. It utilizes multi-scale analysis and other techniques to efficiently extract features from input images with fewer parameters than mainstream CNNs. Experimental results show WACNet achieves comparable accuracy to other models but with 1/4 to 1/10 fewer parameters, making it suitable for embedded applications like automated fabric inspection.
Image Sensing and Acquisition.pptx
Digital image acquisition requires two main components: a physical sensing device that captures electromagnetic energy and converts it to an electrical signal, and a digitizer that converts the electrical signal to digital form. There are three main methods of image acquisition - using a single sensor, a line of sensor strips, or a 2D array of sensors. The most common modern approach is to use a 2D array of sensors, as found in digital cameras, which allows an entire image to be captured at once without requiring relative motion between the sensor and scene.
Energy harvesting sensor nodes
The document discusses energy harvesting for sensor nodes. It describes various energy harvesting architectures and technologies that can power sensor nodes, such as solar, piezoelectric, wind, and radio frequency. It provides examples of sensor node implementations that use different energy storage solutions like batteries, supercapacitors, and tiered storage. The document also discusses implications for sensor network design, including performance adaptation techniques at the node and network levels to enable energy neutral operation of harvesting-powered sensor networks.
Measurement techniques in micro machining PDF by badebhau4@gmail.com
This document discusses various measurement techniques used in micro machining. It begins by explaining the need for developing new measurement techniques capable of accurately measuring micro-scale features between 0.1 to 100 μm. It then categorizes measuring systems as either dimensional or topographic and describes examples in each category. Key techniques discussed include optical microscopes, electron microscopes like SEM, interferometers, profilometers, scanning probe microscopes and laser-based systems. The document provides details on operating principles, applications, accuracy and resolution limits of these micro-measurement techniques.
micro electro mechnical system
MEMS is a technology that combines mechanical and electrical components on a chip using microfabrication. MEMS devices range in size from 1-100 micrometers and are made through deposition, patterning, and etching processes. They can be used as sensors, actuators, and components in applications like automotive systems, biomedical devices, military technologies, and consumer electronics.
mems based optical coherence tomography imaging
Mems based oct technique can be used to image cancerous tissue at its earlier stage because of its high resolution capability. oct principle can be used in endoscopes to image internal organs.
Microscope
Optical microscopes use visible light and lenses to magnify specimens up to around 1000x, commonly applied in biology and materials science. They provide ease of use and minimal sample preparation. In contrast, electron microscopes, employing a beam of electrons, offer much higher magnifications and resolutions, reaching into the nanoscale. Transmission electron microscopes reveal internal structures, while scanning electron microscopes produce detailed 3D surface images. However, electron microscopes necessitate elaborate sample preparation, limiting their application to thin, metal-coated specimens. They are essential for exploring ultrastructural details in fields like cell biology and materials science.
Wireless applications in various areas
it has a small description about how wireless sensor system network can be applied in various field. A application of leaksge detection is discussed in detail.
Micro Nano Breakthrough - Wylde
This document provides an overview of Zyvex Corporation and its work integrating micro and nano technologies. It discusses Zyvex's collaborations with government agencies and universities. Some of Zyvex's areas of focus and capabilities are nanomanipulation systems, MEMS probing, silicon microgrippers, nanowire electrical probing, and functionalizing carbon nanotubes. The document also provides examples of assembled microscale systems and describes a project using nanomanipulation to apply tension to collagen fibers.
Mems
MEMS are tiny integrated devices that combine mechanical and electrical components on a micro scale. They are able to sense, control and actuate on a micro scale but generate effects on a macro scale. MEMS utilize various fields including design, engineering, materials science and electrical engineering. Current MEMS devices include sensors in airbags, inkjet printer heads, and blood pressure sensors. MEMS are fabricated using deposition, patterning, and etching processes and are used in applications such as automotive, medical, military, and consumer electronics.
Micro Electro Mechanical systems
This document discusses Micro Electro Mechanical Systems (MEMS). MEMS are tiny devices that combine mechanical and electrical components using microfabrication technology. They range in size from 1 to 100 micrometers. The document outlines common MEMS fabrication techniques like deposition, patterning through lithography, and etching. It also discusses MEMS applications in areas like automotive, medical, sensors, and more. MEMS offer benefits like low energy use and improved accuracy but challenges include high costs and complex design procedures. The future of MEMS is seen as integrating more sensors, energy modules, and wireless capabilities to create entirely new product categories.
IRJET- In-Situ Monitoring for Fatigue Crack Detection using Control System an...
This document describes a proposed system for automatic in-situ monitoring of specimens to detect fatigue cracks using image processing and a control system. A camera and Raspberry Pi controller are used to capture images of a specimen under cyclic loading. An image processing algorithm analyzes the images to identify any cracks present based on area and isolate the crack from the background. The algorithm then measures the dimensions of detected cracks. The goal is to alert the user as soon as a crack is found and display the crack dimensions to reduce manual inspection time during fatigue testing. A literature review discusses previous research on fatigue crack detection using techniques like vibration analysis, stroboscopic illumination, and digital image correlation.
MEMS
MEMS (Micro Electro Mechanical Systems) are tiny devices between 1 to 100 micrometers in size that are a second micro manufacturing revolution after semiconductors. X-Ray diffraction is a testing technique for MEMS that uses radiation to detect defects. MEMS are commonly fabricated using DRIE (Deep Reactive Ion Etching) and tested for radiation exposure. Ring laser gyroscopes used for navigation are an example of an MEMS application that requires extremely precise silicon mirrors fabricated using DRIE. MEMS have advantages of small size and high efficiency but difficulties in fabrication and high costs.
Best Paper winning PPT
This document describes an intelligent wireless video monitoring system that uses computer vision. The system includes infrared sensors to detect movement near restricted areas, which triggers a stepper motor to rotate a camera toward the detected movement. Video images are transmitted wirelessly via an AM transmitter. The system is designed to be portable and allow maximum surveillance area with one camera. It has applications for border security, sensitive labs, and military zones. Future work could add facial recognition and integrate other sensor inputs to provide richer situation awareness.
MEMS-unit1A.pptx
This document discusses microelectromechanical systems (MEMS) and their applications. MEMS devices can be the size of a rice grain or smaller. There is increasing demand for intelligent, robust, multi-functional, and low-cost industrial products, which miniaturization can satisfy. MEMS have various applications including sensors, actuators, and integrated microsystems. Examples of MEMS applications discussed are airbag sensors in cars, medical devices like pressure sensors, and microoptical components. The document outlines the multidisciplinary nature and evolution of MEMS technology.
ppt
This document describes a proposed system for automatically detecting faults on railway tracks using wireless network systems. The proposed system uses ultrasonic sensors to monitor the tracks for cracks and obstacles. When a fault is detected, the sensor information is transmitted wirelessly through modules to authorities. This allows for easy, real-time surveying of tracks with less delay compared to existing systems. The goal is to avoid accidents and safeguard passengers by quickly detecting any track issues or problems.
Real time visualization of structured things
This project aims to monitor structured things in real-time for cracks and bending using wireless sensors. The sensors detect physical data from structures and send it to the cloud for processing and analysis. This allows users to identify damages and potential hazards, saving lives. The proposed system uses MEMS and vibration sensors with low-power WiFi modules to wirelessly transmit sensor readings to the cloud for viewing on mobile apps. This provides a robust, flexible and cost-effective alternative to existing wired structural monitoring systems.
Similar to UAIPD 15-0013 (20)
microelectromechanical systems, MEASUREMENTS AND INSTRUMENTATION
microelectromechanical systems, MEASUREMENTS AND INSTRUMENTATION
Automatic Fabric Defect Detection with a Wide-And-Compact Network
Automatic Fabric Defect Detection with a Wide-And-Compact Network
Measurement techniques in micro machining PDF by badebhau4@gmail.com
Measurement techniques in micro machining PDF by badebhau4@gmail.com
IRJET- In-Situ Monitoring for Fatigue Crack Detection using Control System an...
IRJET- In-Situ Monitoring for Fatigue Crack Detection using Control System an...
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UAIPD 17-0042
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This document describes a new method for enhancing feedstock powder for cold gas dynamic spray deposition. The two-step process of heating and rapid quenching improves powder quality by reducing undesirable microstructures. This doubles the deposition efficiency compared to existing technologies. The new process removes microstructures that form during atomization, resulting in superior adhesion, strength, and corrosion resistance over as-received powders.
UAIPD 15-0017
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UAIPD 15-0016
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UAIPD 15-0011
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The cost of acquiring information by natural selection
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
Farming systems analysis: what have we learnt?.pptx
Presentation given at the official farewell of Prof Ken Gillet at Wageningen on 13 June 2024
11.1 Role of physical biological in deterioration of grains.pdf
Storagedeteriorationisanyformoflossinquantityandqualityofbio-materials.
Themajorcausesofdeteriorationinstorage
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•Biological
•Mechanical
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Storageonlypreservesquality.Itneverimprovesquality.
Itisadvisabletostartstoragewithqualityfoodproduct.Productwithinitialpoorqualityquicklydepreciates
The debris of the ‘last major merger’ is dynamically young
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collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
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because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
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Pests of Storage_Identification_Dr.UPR.pdf
InIndia-post-harvestlosses-unscientificstorage,insects,rodents,micro-organismsetc.,accountforabout10percentoftotalfoodgrains
Graininfestation
Directdamage
Indirectly
•theexuviae,skin,deadinsects
•theirexcretawhichmakefoodunfitforhumanconsumption
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Applied Science: Thermodynamics, Laws & Methodology.pdf
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
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Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...
MICROBIAL INTERACTION PPT/ MICROBIAL INTERACTION AND THEIR TYPES // PLANT MIC...ABHISHEK SONI NIMT INSTITUTE OF MEDICAL AND PARAMEDCIAL SCIENCES , GOVT PG COLLEGE NOIDA
Microbial interaction
Microorganisms interacts with each other and can be physically associated with another organisms in a variety of ways.
One organism can be located on the surface of another organism as an ectobiont or located within another organism as endobiont.
Microbial interaction may be positive such as mutualism, proto-cooperation, commensalism or may be negative such as parasitism, predation or competition
Types of microbial interaction
Positive interaction: mutualism, proto-cooperation, commensalism
Negative interaction: Ammensalism (antagonism), parasitism, predation, competition
I. Mutualism:
It is defined as the relationship in which each organism in interaction gets benefits from association. It is an obligatory relationship in which mutualist and host are metabolically dependent on each other.
Mutualistic relationship is very specific where one member of association cannot be replaced by another species.
Mutualism require close physical contact between interacting organisms.
Relationship of mutualism allows organisms to exist in habitat that could not occupied by either species alone.
Mutualistic relationship between organisms allows them to act as a single organism.
Examples of mutualism:
i. Lichens:
Lichens are excellent example of mutualism.
They are the association of specific fungi and certain genus of algae. In lichen, fungal partner is called mycobiont and algal partner is called
II. Syntrophism:
It is an association in which the growth of one organism either depends on or improved by the substrate provided by another organism.
In syntrophism both organism in association gets benefits.
Compound A
Utilized by population 1
Compound B
Utilized by population 2
Compound C
utilized by both Population 1+2
Products
In this theoretical example of syntrophism, population 1 is able to utilize and metabolize compound A, forming compound B but cannot metabolize beyond compound B without co-operation of population 2. Population 2is unable to utilize compound A but it can metabolize compound B forming compound C. Then both population 1 and 2 are able to carry out metabolic reaction which leads to formation of end product that neither population could produce alone.
Examples of syntrophism:
i. Methanogenic ecosystem in sludge digester
Methane produced by methanogenic bacteria depends upon interspecies hydrogen transfer by other fermentative bacteria.
Anaerobic fermentative bacteria generate CO2 and H2 utilizing carbohydrates which is then utilized by methanogenic bacteria (Methanobacter) to produce methane.
ii. Lactobacillus arobinosus and Enterococcus faecalis:
In the minimal media, Lactobacillus arobinosus and Enterococcus faecalis are able to grow together but not alone.
The synergistic relationship between E. faecalis and L. arobinosus occurs in which E. faecalis require folic acid
Compexometric titration/Chelatorphy titration/chelating titration
Classification
Metal ion ion indicators
Masking and demasking reagents
Estimation of Magnisium sulphate
Calcium gluconate
Complexometric Titration/ chelatometry titration/chelating titration, introduction, Types-
1.Direct Titration
2.Back Titration
3.Replacement Titration
4.Indirect Titration
Masking agent, Demasking agents
formation of complex
comparition between masking and demasking agents,
Indicators/Metal ion indicators/ Metallochromic indicators/pM indicators,
Visual Technique,PM indicators (metallochromic), Indicators of pH, Redox Indicators
Instrumental Techniques-Photometry
Potentiometry
Miscellaneous methods.
Complex titration with EDTA.
CLASS 12th CHEMISTRY SOLID STATE ppt (Animated)
Description:
Dive into the fascinating realm of solid-state physics with our meticulously crafted online PowerPoint presentation. This immersive educational resource offers a comprehensive exploration of the fundamental concepts, theories, and applications within the realm of solid-state physics.
From crystalline structures to semiconductor devices, this presentation delves into the intricate principles governing the behavior of solids, providing clear explanations and illustrative examples to enhance understanding. Whether you're a student delving into the subject for the first time or a seasoned researcher seeking to deepen your knowledge, our presentation offers valuable insights and in-depth analyses to cater to various levels of expertise.
Key topics covered include:
Crystal Structures: Unravel the mysteries of crystalline arrangements and their significance in determining material properties.
Band Theory: Explore the electronic band structure of solids and understand how it influences their conductive properties.
Semiconductor Physics: Delve into the behavior of semiconductors, including doping, carrier transport, and device applications.
Magnetic Properties: Investigate the magnetic behavior of solids, including ferromagnetism, antiferromagnetism, and ferrimagnetism.
Optical Properties: Examine the interaction of light with solids, including absorption, reflection, and transmission phenomena.
With visually engaging slides, informative content, and interactive elements, our online PowerPoint presentation serves as a valuable resource for students, educators, and enthusiasts alike, facilitating a deeper understanding of the captivating world of solid-state physics. Explore the intricacies of solid-state materials and unlock the secrets behind their remarkable properties with our comprehensive presentation.
Evidence of Jet Activity from the Secondary Black Hole in the OJ 287 Binary S...
Wereport the study of a huge optical intraday flare on 2021 November 12 at 2 a.m. UT in the blazar OJ287. In the binary black hole model, it is associated with an impact of the secondary black hole on the accretion disk of the primary. Our multifrequency observing campaign was set up to search for such a signature of the impact based on a prediction made 8 yr earlier. The first I-band results of the flare have already been reported by Kishore et al. (2024). Here we combine these data with our monitoring in the R-band. There is a big change in the R–I spectral index by 1.0 ±0.1 between the normal background and the flare, suggesting a new component of radiation. The polarization variation during the rise of the flare suggests the same. The limits on the source size place it most reasonably in the jet of the secondary BH. We then ask why we have not seen this phenomenon before. We show that OJ287 was never before observed with sufficient sensitivity on the night when the flare should have happened according to the binary model. We also study the probability that this flare is just an oversized example of intraday variability using the Krakow data set of intense monitoring between 2015 and 2023. We find that the occurrence of a flare of this size and rapidity is unlikely. In machine-readable Tables 1 and 2, we give the full orbit-linked historical light curve of OJ287 as well as the dense monitoring sample of Krakow.
Immersive Learning That Works: Research Grounding and Paths Forward
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.
Methods of grain storage Structures in India.pdf
•Post-harvestlossesaccountforabout10%oftotalfoodgrainsduetounscientificstorage,insects,rodents,micro-organismsetc.,
•Totalfoodgrainproductioninindiais311milliontonnesandstorageis145mt.InIndia,annualstoragelosseshavebeenestimated14mtworthofRs.7,000croreinwhichinsectsaloneaccountfornearlyRs.1,300crores.
•InIndiaoutofthetotalproduction,about30%ismarketablesurplus
•Remaining70%isretainedandstoredbyfarmersforconsumption,seed,feed.Hence,growerneedstoragefacilitytoholdaportionofproducetosellwhenthemarketingpriceisfavourable
•TradersandCo-operativesatmarketcentresneedstoragestructurestoholdgrainswhenthetransportfacilityisinadequate
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
Anti-Universe And Emergent Gravity and the Dark Universe
Recent theoretical progress indicates that spacetime and gravity emerge together from the entanglement structure of an underlying microscopic theory. These ideas are best understood in Anti-de Sitter space, where they rely on the area law for entanglement entropy. The extension to de Sitter space requires taking into account the entropy and temperature associated with the cosmological horizon. Using insights from string theory, black hole physics and quantum information theory we argue that the positive dark energy leads to a thermal volume law contribution to the entropy that overtakes the area law precisely at the cosmological horizon. Due to the competition between area and volume law entanglement the microscopic de Sitter states do not thermalise at sub-Hubble scales: they exhibit memory effects in the form of an entropy displacement caused by matter. The emergent laws of gravity contain an additional ‘dark’ gravitational force describing the ‘elastic’ response due to the entropy displacement. We derive an estimate of the strength of this extra force in terms of the baryonic mass, Newton’s constant and the Hubble acceleration scale a0 = cH0, and provide evidence for the fact that this additional ‘dark gravity force’ explains the observed phenomena in galaxies and clusters currently attributed to dark matter.
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UAIPD 15-0013
- 1. UAPD# 15-0013 Dr. Nima Mahmoodi Multi-Piezoelectric Microcantilever
- 2. Current Problems • Scanning probe microscopy used to provide three- dimensional imaging of physical surfaces. – Image recorded by mechanically moving a microcantilever sensor close to the surface. • Current method of monitoring the position of microcantilever is a laser. – Expensive and requires safety regulations. • Previous Attempts with Piezoelectrics – A single layer piezoelectric microcantilever has been used. – However, cannot be used for consensus observer estimation.
- 3. Technology • Novel device and algorithm to improve accuracy within micro- cantilever Scanning Probe Microscopes (SPMs). • Uses multiple pieces of piezoelectric material attached to the surface of the micro-cantilever • The consensus algorithm uses a network of nodes to provide the most accurate estimation of the deflection of the micro-cantilever.
- 4. • Results in the elimination of the laser sensor. • Enables operation and accurate measurements even if there is a failure in the piezoelectric sensors. • Technology increases the accuracy of scanning probe microscopes. – Using the novel combination of the consensus algorithm and the piezoelectric sensor. Advantages
- 5. • Dr. Nima Mahmoodi • Assistant Professor • 35 publications • 1 patent application • Department of Mechanical Engineering Inventor
- 6. Office for Technology Transfer 720 2nd Ct E Tuscaloosa, AL 35401 UAIPD# 15-0013 OTT@UA.edu www.OTT.UA.edu
Editor's Notes
- Should read like Wikipedia entry. Try to focus on the high points.
- Closing slide. Make sure to add in UAIPD# then change font back to black.