Development Of Attitude Determination For Student Pico-Satellite INNOSAT.

Information of satellite’s attitude is very useful in autonomous satellite control system. For a small satellite particularly, attitude sensor cannot be installed in the satellite because of the limited weight and power consumption

Remote Sensing And Geospatial Applications For Water Catchment Mapping And Assessment.

Identifying and mapping water catchment features that occur in mostly forest areas from aerial photography is a challenging task, but the use of remotely sensed data and data processing techniques can improve the process of providing preliminary data for modeling land use and land cover changes and assessment their impact on the catchemnt

Experimental and Computational Investigations of Baffle Location Effect on the Performance of Oil and Water Separator Tanks

Gravity separator tanks are used to separate oil from water in treatment units. Achieving the best flow uniformity in a separator tank will improve the maximum removal efficiency of oil globules from water. In this study, the effect on hydraulic performance of different baffle structure positions inside a tank was investigated. Experimental data and 2D computation fluid dynamics were used for analysis. In the numerical model, two-phase flow (drift flux model) was used to validate one-phase flow. For laboratory measurements, the velocity fields were measured using an acoustic Doppler velocimeter. The measurements were compared with the result of the computational model. The results of the experimental and computational simulations indicate that the best location of a baffle structure is achieved when the standard deviation of the velocity profile and the volume of the circulation zone inside the tank are minimized

Deterministic and Recursive Approach in Attitude Determination for InnoSAT

Attitude determination system (ADS) was indispensable in attitude control of satellite. Especially for InnoSAT due to the limitation of budget, weight, and power, the attitude was determined using onboard position sensors. Previous research has successfully implemented the attitude determination using only Earth's magnetic field sensors for small attitude angle, but the approach produced quite big error for large attitude angle. This paper presents attitude determination for InnoSAT using combination of sun sensors and earth's magnetic field for large attitude angle. The attitude was determined using a deterministic (QUEST) and recursive (EKF) approach. A problem arises when using the sun sensors while the satellite experiencing eclipse. Consequently, the accuracy of both approaches was analyzed at eclipse and no eclipse conditions. The result shows that deterministic approach produced better accuracy at no eclipse but recursive approach produced better accuracy at eclipse. The strategy to apply the both approaches and eclipse conditions also discussed in this paper

Deterministic and Recursive Approach in Attitude Determination for InnoSAT.

Attitude determination system (ADS) was indispensable in attitude control of satellite. Especially for InnoSAT due to the limitation of budget, weight, and power, the attitude was determined using onboard position sensors. Previous research has successfully implemented the attitude determination using only Earth´s magnetic field sensors for small attitude angle, but the approach produced quite big error for large attitude angle. This paper presents attitude determination for InnoSAT using combination of sun sensors and earth´s magnetic field for large attitude angle. The attitude was determined using a deterministic (QUEST) and recursive (EKF) approach. A problem arises when using the sun sensors while the satellite experiencing eclipse. Consequently, the accuracy of both approaches was analyzed at eclipse and no eclipse conditions. The result shows that deterministic approach produced better accuracy at no eclipse but recursive approach produced better accuracy at eclipse. The strategy to apply the both approaches and eclipse conditions also discussed in this paper

The Advantages, Potentials And Safety Of Vtol Suborbital Space Tourism Operations

Suborbital space tourism offers short-time zero gravity and Earth view from space to its customers,and a package that can offer the longest duration of zero-gravity and the most exciting Earth view from space to its customer can be considered a better one than the others

The Preliminary Design Of A Nano Satellite Engineering Model For Remote Sensing Expe.

Nanosatellite means small satellites where the total mass are less than 10kg including the main payloads an Small satellite missions was not only driven by reduction of the space budgets but it was also made possible by of the technology and miniaturization of component. The new advancement of technology trends allow the applic sensing, communications and space science to benefit from the development of small satellites

Effect of Leaching and Gypsum Content on Properties of Gypseous Soil

Abstract- Gypseous soil is one of problematic soils to be used as foundation of road, building and other structures. It is considerably strong and has good properties when it is dry. The problem appears when constructing heavy buildings or hydraulic structures on these soils after wetted by water from rainfall or from the raising of water table level from any source and leaching the salts from the soil. The primary objective of this paper is to presents the current state of the gypseous soil subject to leaching. A review is provided aiming to discuss the effect of gypsum content and leaching on gypseous soil. T Index Terms- Gypseous soil, Gypsum content, Leachin

Support Vector Machine (SVM) for Groundwater Quality Modelling – Gaza Coastal Aquifer Salinity as A Case Study

Artificial intelligence (AI) techniques such as artificial neural networks (ANNs) and support vector machine (SVM) exhibits a reliable performance in modelling complicated hydrological processes using relatively less cost, effort and data. SVM is a new technique compared with ANNs, and it has been developed based on the statistical learning theory. In this study, SVM based model was developed to simulate the salinity, (described as chloride concentration), of Gaza Coastal Aquifer (GCA). The developed model was trained using 10-years water quality data from 22 municipal wells in Khanyounis governorate in Gaza Strip. The potential model input variables were basically selected based on understanding the physical processes that govern GW salinity in GCA. Different combinations of input variables were evaluated based on the correlation coefficient and error criteria of the model’s output. The best SVM model showed good simulation accuracy where, the mean absolute percentage error (MAPE), and correlation coefficient (r) for test data set were 4.6% and 0.997 respectively. The model results indicated that the most influencing input variables on the chloride concentration in the study area wells were the previous chloride concentration for the past analysis period, abstraction rate, overall recharge in the well area, depth of pump screen, and well’s location with respect to the shoreline and adjacent aquifers. The developed model could effectively be utilized for analyzing the effect of input variables variation on the chloride concentration which is considered as a crucial step for integrated water resources management