Angular Steering for Proportional Navigation-commanded Surface-to-air Guided Missile

The paper briefly reviews the guidance laws and their implementation in surface-to-airmissiles. The trajectories for the line-of-sight and proportional navigation guidance laws arediscussed and the effect of steering on demand for increased lateral acceleration is appreciated.The mathematical model is then evolved to estimate the launch angle of the missile, ie, bearingand elevation, in the direction of the future position of the moving air target as well as thesteering commands in pitch and yaw planes in accordance with the proportional navigationguidance law, to enable collision with the target

Angular Stabilisation on an Unstable Platform

The paper studies the problem of angular stabilisation of direction-sensitive devices placedon a moving platform subjected to instability in pitch, roll, and yaw. The mathematical model andthe quantitative correction required for stabilising the same in bearing and elevation have beenevolved

Development of MEMESat-1 Passive Magnetic Attitude Control ADCS Simulations

MEMESat-1 is a satellite mission out of the University of Georgia Small Satellite Research Laboratory. MEMESat-1 utilizes a passive magnetic attitude control (PMAC) system as its attitude determinations control system (ADCS). Due to the fact that MEMEsat-1 is funded by a non-profit, Let’s Go to Space, and does not have restrictive pointing requirements, the PMAC system is an advantageous ADCS solution. PMAC also requires no power to operate as opposed to an active magnetic attitude control. This is important because it allows more of MEMESat-1’s power to go toward payload operations. Instead, the PMAC system utilizes an internal bar magnets, nutation dampers and hysteresis rods, to stabilize the system as a combatant environmental torques in the low Earth orbit (LEO) environment. We will make our simulation in MATLAB song with its Aerospace and Satellite Communication Toolbox. We will be expecting a 70% decrease in nutation and spin via the PMAC components. Our ADCS will be finished when the simulations can prove the components to be able to meet our pointing requirements

Development of a Low-Cost Energy Storage Solution for CubeSats

The Board of Batteries (BoBa) is the battery management and energy storage board for MEMESat-1. BoBa captures the energy generated by solar panels during periods of illumination and provides power to the satellite during eclipse. This research focuses on the development of a simple and effective electrical subsystem that uses a low-cost Lithium-Ion battery pack to store and supply power to the satellite. Heating and battery management circuits keep the batteries within desired temperature and voltage ranges. BoBa’s objective is a simple and low-cost satellite energy storage system; consequently, these designs are implemented with affordable consumer parts. BoBa challenges the necessity of expensive and complicated power systems by providing an accessible, inexpensive, and straightforward solution for CubeSats

Secure Cloud Architecture for Protecting the Software of Space Vehicles

As the number of space vehicles launched into outer space increases over time, the need to determine and counter possible cyber attacks from malicious agents will drastically increase. A potential solution to this problem is to create a cloud architecture that a spacecraft can use for autonomous detection or recovery from cyber attacks when out range of a ground station. For this work, the development of a new cloud architecture for space vehicles is proposed which allows users to control access to information or applications within the system while using the self-healing capabilities of containers. The cloud architecture will first be tested without the use of any containerization to establish a control. Afterwards, experiments will be conducted to test the effectiveness of different proposed security measures such as security vulnerabilities, cyber-hardening of the architecture, and logging. This research will then use qualitative and quantitative metrics, such as a pass or fail test, self-healing time of containers, and the number of vulnerable access points to determine the effectiveness of each of these measures

Enhancing the detection and classification of coral reef and associated benthic habitats: A hyperspectral remote sensing approach

Coral reefs and associated benthic habitats are heterogeneous in nature. A remote sensor designed to discriminate these environments requires a high number of narrow, properly placed bands which are not currently available in existing satellite sensors. Optical hyperspectral sensors mounted on aerial platforms seem to be appropriate for overcoming the lack of both high spectral and spatial resolution of satellite sensors. This research presents results of an innovative coral reef application by such a sensor. Using hyperspectral Airborne Imaging Spectroradiometer for Applications (AISA) Eagle data, the approach presented solves the confounding influence of water column attenuation on substrate reflectance on a per-pixel basis. The hyperspectral imagery was used in band ratio algorithms to derive water depth and water column optical properties (e.g., absorption and backscattering coefficients). The water column correction technique produced a bottom albedo image which revealed that the dark regions comprised of sea grasses and benthic algae had albedo values ≈15%, whereas sand- and coral-dominated areas had albedos \u3e30% and ≈15–35%, respectively. The retrieved bottom albedo image was then used to classify the benthos, generating a detailed map of benthic habitats, followed by accuracy assessment

Developing a Comprehensive Power Simulation Model for the MEMESat-1 CubeSat Using Orbital Dynamics

The University of Georgia’s Small Satellite Research Lab’s Mission for Education and Multimedia Engagement Satellite (MEMESat-1) requires the use of variables such as power generation, power draw, orbital path, packet size, and data processing times. As power generation and charge varies, MEMESat-1 will automatically transition through three operational modes to prevent battery depletion and halt system processes in case of anomalies. Taking these variables and operational modes into account, the MEMESat-1 Mission Operations (MOPS) team will use FreeFlyer software to analyze power generation and draw during MEMESat-1’s orbital cycle. The power limitations of MEMESat-1 are budgeted based on battery and solar cell specifications implying the necessity of power simulations by MOPS

Identifying and Forecasting Potential Biophysical Risk Areas within a Tropical Mangrove Ecosystem Using Multi-Sensor Data

Mangroves are one of the most productive ecosystems known for provisioning of various ecosystem goods and services. They help in sequestering large amounts of carbon, protecting coastline against erosion, and reducing impacts of natural disasters such as hurricanes. Bhitarkanika Wildlife Sanctuary in Odisha harbors the second largest mangrove ecosystem in India. This study used Terra, Landsat and Sentinel-1 satellite data for spatio-temporal monitoring of mangrove forest within Bhitarkanika Wildlife Sanctuary between 2000 and 2016. Three biophysical parameters were used to assess mangrove ecosystem health: leaf chlorophyll (CHL), Leaf Area Index (LAI), and Gross Primary Productivity (GPP). A long-term analysis of meteorological data such as precipitation and temperature was performed to determine an association between these parameters and mangrove biophysical characteristics. The correlation between meteorological parameters and mangrove biophysical characteristics enabled forecasting of mangrove health and productivity for year 2050 by incorporating IPCC projected climate data. A historical analysis of land cover maps was also performed using Landsat 5 and 8 data to determine changes in mangrove area estimates in years 1995, 2004 and 2017. There was a decrease in dense mangrove extent with an increase in open mangroves and agricultural area. Despite conservation efforts, the current extent of dense mangrove is projected to decrease up to 10% by the year 2050. All three biophysical characteristics including GPP, LAI and CHL, are projected to experience a net decrease of 7.7%, 20.83% and 25.96% respectively by 2050 compared to the mean annual value in 2016. This study will help the Forest Department, Government of Odisha in managing and taking appropriate decisions for conserving and sustaining the remaining mangrove forest under the changing climate and developmental activities

Orbital Myiasis: Due to Invasion of Larvae of Flesh Fly (Wohlfahrtia magnifica) in a Child; Rare Presentation

Wohlfahrtia magnifica larvae cause myiasis in mammals, mainly in sheep and rarely in human. In human it may infest the ear, eye, mouth or nose, damaging living tissues. We report a case of ocular myiasis in 1.5 years old child belonging to urban slum after history of minor injury on left upper lid due to fall from bed. The purpose of reporting this case is to highlight the ocular association of W. magnifica