Abstract
On February 7, 2012 a Memorandum of Understanding (MOU) was signed between Elizabeth City State University (ECSU) and Seaspace Corporation. The memorandum leads to the installation of three direct-broadcast satellite receiving ground stations and a training site at ECSU. The receiving stations include a 3.6m X/L band system and a 3.7m C-band system. The 5.0m L band system has already been installed on Dixon-Patterson hall in the summer of 2012. The purpose of this project is to document the installation requirements and internal processes at ECSU for the ground stations, as well as; generate a report of training site physical requirements. Aspects of the MOU including ECSU policy requirements, location engineering findings, location installation requirements, ground station capabilities, and training center needs are addressed.

Dixon-Patterson hall (located on the ECSU campus) is chosen as the most ideal location for the 3.6 meter X/L band and 3.7 meter C-band ground stations. Dixon-Patterson Hall met several key criteria for the installation, including; flat roof, clear sky view, and space to position the associated server. Data acquisition is established from horizon to horizon for these particular ground stations and therefore limited building and tree obstruction is essential.

Abstract
The Apache Big Data Stack is representative of a large spectrum of numerous open-source software programs provided through Apache projects. The term Apache refers to the Apache Software Foundation (ASF), which provides support for open-source software projects and attracts a large community of users. This mass group of users is what ultimately generates enormous amounts of data ---Big Data. Accordingly, this enormous digital volume consists of data that cannot be captured and organized by traditional tools, thus presenting an obstacle. It is vital to utilize computing power and storage in order to organize such data; however, this presents economical concerns due to costly affects. 

The Apache Big Data Stack and the product Chef will be investigated and applied to resolve such an issue. Research will involve installing and testing as many open-source software packages as possible on FutureGrid machines and later making them accessible utilizing Chef. In order to accomplish this, software packages deriving from the Apache Big Data Stack spectrum will be installed on to a virtual machine to create application packages. These packages will be built into projects and Chef will be used to transform the infrastructure of a project's code and bring it to life so that it can be made accessible through a network of servers. Finally, research will demonstrate how use of the Apache Big Data Stack and Chef can be applied to contribute to the evolution of innovation in the Big Data field.

Abstract
Message Passage Interface (MPI) has been the common choice among developers when developing tightly coupled parallel High Performance Computing (HPC) applications and the majority of such applications are based on either C, C++ or Fortran. The recent advancement in processing big data, however, has brought attention towards Java. Effort has also been put on Java's support for HPC with flavors of MPI such as OpenMPI Java and FastMPJ. We evaluate these against native C based MPI on a set of micro-benchmarks from the standard Ohio MicroBenchmark suite from Ohio State University. The results show a promising future with Java and MPI for HPC applications.

Abstract
The purpose of this project is to add parallelization support to the code for multithreading PlotViz3. The code in the software uses the C++ programming language which is what I shall be using to make improvements. In the end, adding this support will speed up the virtualization process in the software and make it less time consuming when looking for results quickly and effeciently. In biology there is a scientific field that develops methods and software tools for organizing and analyzing biological data. That field is bioinformatics and it combines computer science with other fields in order to study biological data and processes which in turn can provide meaningful information on genomic sequences. Currently, there is a software called PlotViz, a 3D data point browser, which can be helpful for scientists in the field of bioinformatics. PlotViz can be used to interactively discover intrinsic structures efficiently of which are high-dimensional and contain large volumes of data. This means that scientists will be able to find the correlations between the organisms they have data on more effectively than their previous methods such as phylogenetic trees. This software should be accessible to every scientist working in bioinformatics but has yet to be put out there for them because the process is not easily done. Once it is basic enough for simple execution then scientist will have a new and more efficient tool for analyzing organism's genomic sequences.

Abstract
The cloud computing system Cloudmesh currently uses flask, however because of the low usage of the web framework. Installation of django, a similar framework has proven to be more productive, efficient, and easier to use and apply than flask. The purpose of this project is to develop a prototype django server that will have sets of functions that will make Cloudmesh easier for user to interact with. This includes attaching bootstrap theme to the django server and list of virtual machines on various clouds that currently use Cloudmesh databases. 
Keywords: Cloudmesh, django, bootstrap theme, flask

Abstract
Smartphones are used for practically everything, from text messaging to email checking, social networks, navigation, and even managing health and banking. The design of the Android operating system is based on a set of unprotected shared resources, some of which are inherited from Linux. These unprotected shared resources, along with the extensive development of Android applications , such as Twitter, makes available a large amount of background information, which can potentially turn harmless resource sharing into serious privacy breaches In our study, we discovered that zero-permission applications can reveal a user’s identity or location through the following ways: the app’s network-data usage statistics, the public address resolution protocol, and the speaker status of the device. Because of the public resources available on Android, some of a user’s sensitive information can be discoveredthrough the applications on their phones by a few inference techniques. Use of these techniques can reveal a user’s disease conditions, location and identity. One particular technique involves reading the data usage of a user’s Twitter application and creating a vector of time stamps of when the user tweets. Through this inference technique, more can be discerned about the user. To help combat the access of a user’s personal data, we have implemented a mitigation strategy. This strategy reduces the accuracy of the data captured by rounding up or down the actual number of bytes sent or received by the application to multiple integers before disclosing the value of the query process. The study reveals that highly sensitive data of smartphone user, such as his/her identity, interest condition, geo-location, driving route and more can actually be reliably inferred from researching popular apps.

Abstract
Within the nanotechnology research community, possibilities for new breakthroughs are endless. Having the proper tools and technology are important in acquiring accurate data results. Nanotechnology has revolutionized the field of electronics and remote sensing, therefore this study will present preliminary calibration results on the use of hyperspectral imaging applied in a lab setting along with mathematical nanostructure simulations for predicting nanostructure particles on a surface. Throughout past studies, researchers have discovered that the use of e-beams on layered surfaces induce a unique nanostructure growth (Universal, 2014). Layered materials such as graphite, noval superconductors and topological insulators present defined patterns when induced with e-beams, that are usefulness in remote sensing and other relatable fields. E-beams contribute to growth on sample surfaces, which result in forming crystal structures simplified into carbon. "These carbon nanoparticles have strong broad-wavelength interactions in the visible light range, making the nanoparticles detectable in an optical microscope and of interest for a range of nanoscale electro-optical devices" (Universal, 2014).The induced growths are formed during the process called electron beam induced disposition. Knowledge on predicting and controlling nanostructure growth will surely benefit all areas of the future exponentially. To begin, we must first have the proper hyperspectral tools needed for viewing the composition of these objects. Furthermore, calibrating the hyperspectral camera will provide data on light admitted during focal length changes. Provide a margin of spectra error and provide absorption characteristics needed in viewing nano structures.