Simulation of imaging Fourier transform spectrometers using DIRSIG

Imaging Fourier Transform Spectrometers are becoming popular sensors for hyperspectral re mote sensing. To evaluate sensor design artifacts and properties, it is useful to simulate their designs using a radiometrically correct ray-tracing tool. The Digital Imaging and Remote Sensing Image Generation model allows for such design and simulation of sensor properties. Two different design types are evaluated and simulated. The first one is a Michelson-type interferometer. The sensor collects the image by operating in stare mode The interferogram is collected over time by scanning one of the mirrors to generate the required optical path difference between the signals. The second design is a triangle-path (Sagnac) interferometer. With this design, the interferogram is collected spatially on the detector array, with one spatial dimension collected in the orthogonal coordinate (Hammer, et al., 1995). The sensor is operated in pushbroom mode to collect the other spatial dimension. Simulated images and the effects of design artifacts are presented, along with the theory al lowing their understanding. The effects of design artifacts are presented both individually and in combination with other artifacts. Results of the simulation of a full scene are shown and help indi cate where those sensors can be useful. Finally, recommendations and future improvements to this research are listed

Acquisition of higher-order experimental skills through remote and virtual laboratories

Remote laboratories are physical spaces with real apparatus and real instruments connected to the Internet. They allow both students and teachers to remotely conduct real experiments through a simple web browser.info:eu-repo/semantics/publishedVersio

A novel haptic model and environment for maxillofacial surgical operation planning and manipulation

This paper presents a practical method and a new haptic model to support manipulations of bones and their segments during the planning of a surgical operation in a virtual environment using a haptic interface. To perform an effective dental surgery it is important to have all the operation related information of the patient available beforehand in order to plan the operation and avoid any complications. A haptic interface with a virtual and accurate patient model to support the planning of bone cuts is therefore critical, useful and necessary for the surgeons. The system proposed uses DICOM images taken from a digital tomography scanner and creates a mesh model of the filtered skull, from which the jaw bone can be isolated for further use. A novel solution for cutting the bones has been developed and it uses the haptic tool to determine and define the bone-cutting plane in the bone, and this new approach creates three new meshes of the original model. Using this approach the computational power is optimized and a real time feedback can be achieved during all bone manipulations. During the movement of the mesh cutting, a novel friction profile is predefined in the haptical system to simulate the force feedback feel of different densities in the bone

Characterization and Optimization of the new Imaging Fourier Transform Spectrometer GLORIA

This work focuses on the radiometric and spectrometric characterization and optimization of a new imaging Fourier transform spectrometer (IFTS) called Gimballed Limb Observer for Radiance Imaging of the Atmosphere (GLORIA). This characterization work helps to better understand the important features of this IFTS instrument - so that scientific data recorded in campaigns can be understood better and help in understanding the current climate change

Reconnaissance and Documentation (RAD)

The Reconnaissance and Documentation (RAD) mission aims to utilize a Low Earth Orbit satellite using machine learning enabled image recognition and optical remote sensing to observe countries currently experiencing Stage Nine of the United Nations’ Ten Stages of Genocide. The primary objective of the RAD satellite, Leza, is to observe high-risk countries at adequate spatial and temporal resolutions to capture evidence of genocide. The secondary objective of Leza is to process images on-board, so flagged images serving as evidence may be distributed to proper authorities, the United Nations, and mainstream media outlets as soon as possible. Using remote sensing to survey the surface of the planet is far from a new concept but using it to uphold current international human rights laws is revolutionary. Evidence gathered during the operational lifetime of the satellite could be used not only to persecute those inflicting chaos, but also to push for new policies on the international level. A prototype system that will test the machine learning software on the ground before utilization aboard Leza includes a drone, Olorun, and testing payload, OWL. The Olorun drone will act as a testing platform for image recognition software developed as part of the OWL payload. OWL will use a pre-trained neural net to evaluate if 3D modeled test beds of simulated evidence of genocide can be identified. This prototype will also analyze the capability to downlink images of interest and discard irrelevant photos. Testing of the Olorun and OWL will be completed in April 2022

Monitoring Environmental Trends In Levels of Influenza Virus and SARS-COV-2 in Prescott, AZ

Every year, the Centers for Disease Control and Prevention and state health agencies collect surveillance data for cases of influenza. During the flu season of 2019, SARSCoV- 2, which causes the symptoms known as COVID-19, caused a global pandemic. In turn, the surveillance and testing data showed a dramatic drop in influenza case numbers compared to previous years. Influenza is one of the deadliest viruses in human history, so it seems unlikely that this drastic change would occur due to the emergence of a similar virus. This research is designed to show that the prevalence of influenza in the community of Prescott, Arizona is much the same as during most flu seasons and is comparable to the prevalence of SARS-CoV-2. To do so, environmental sampling of a gas station, courthouse, urgent care center, a Walmart and a university library was conducted to obtain a base-level of viral RNA present on various highly touched surfaces throughout the fall and winter viral respiratory season, which runs from October through April each year. RNA extraction to isolate the viral RNA present in the environment was performed. Levels of viral RNA present were quantified through real-time quantitative reverse transcription polymerase chain reaction (RT-qPCR). The results of the RT-qPCR will be interpreted to quantify the levels of influenza and SARS-CoV-2 RNA present on the sampled environmental surfaces. This data will be compared to an analysis of the public health data throughout the 2021-2022 viral respiratory season

Thermal Analysis of the Temperature Gradient Across Pintle Injector Face

Proper analysis of the temperature gradient across the pintle injector face is a complicated surface to acquire a reading from. Complications arise from the extreme temperatures seen on the combustion side mixed with the ambient temperatures seen on the fuel side of the injector. The orientation of temperature sensor placement is critical to mitigate hot spots and not disrupt the thermal flow through the injector face. The installment of the temperature sensors is also a critical issue since a new medium would need to be added to keep the sensor in place. The goal of this research is to figure out the correct orientation of temperature sensors to acquire an accurate depiction of the thermal gradient