Thesis (M.S.)--West Virginia University, 1999. / Title from document title page. Document formatted into pages; contains viii, 107 p. : ill. (some col.) Vita. Includes abstract. Includes bibliographical references (p. 79-80).

Thesis (M.S. in Computer Science)--Naval Postgraduate School, September 2002. / Thesis advisor(s): Neil Rowe, Thomas Otani. Includes bibliographical references (p. 43). Also available online.

Thesis (M. Phil.)--University of Hong Kong, 1999. / Includes bibliographical references (leaves 117-119).

Thesis (Ph. D.)--Rutgers University, 2007. / "Graduate Program in Computer Science." Includes bibliographical references (p. 109-114).

Thesis (M. Eng.)--University of Louisville, 2004. / Department of Computer Engineering and Computer Science. Vita. "May 2004." Includes bibliographical references (leaves 61-63).

Thesis (M.S. in computer science)--Washington State University, May 2010. / Title from PDF title page (viewed on July 28, 2010). "School of Engineering and Computer Science." Includes bibliographical references (p. 65-67).

published_or_final_version / Computer Science / Master / Master of Philosophy

No description available.

Approved for public release; distribution is unlimited / Currently, the most common approach in developing database applications is to use an object-oriented language for the frontend module and a relational database for the backend datastore. The major disadvantage of this approach is the well-known "impedance mismatch" in which some form of mapping is required to connect the objects in the frontend and the relational tuples in the backend. Java Data Objects (JDO) technology is recently proposed Java API that eliminates the impedance mismatch. By using JDO API, the programmers deal strictly with objects. JDO hides the details of the backend datastore by providing the object-oriented view of the datastore. JDO automatically handles the mapping between the objects and the underlying data in the relational database, which is hidden from the programmer. This thesis investigates the effectiveness of JDO. Part of the analysis will develop a database application using JDO. Although JDO provides the benefits of object-orientation in design and implementation of the databases, it is not immune from problems and limitations. The thesis will also analyze the advantages and disadvantages of using JDO and discuss the areas requiring improvements in future releases. / Major, Hellenic Air Force

Approved for public release; distribution is unlimited. / The U.S. Army's Future Force is being developed as a faster, lighter, more rapidly deployable alternative to the current force structure. The Future Force will feature a smaller in-theater footprint and require the ability to cover a larger area of the battle space with intelligence-gathering assets. To support this development the Naval Postgraduate School and TRAC Monterey began to conduct research in the area of allocation of Future Force sensor platforms. A previous thesis developed the Sensor Allocation Model (SAM) for finding an appropriate mix and allocation strategy for organic Unit of Action sensors in a given threat scenario. The mix suggested by the model is robust to uncertainties in sensor performance and target quantity and location. SAM shows great promise for use as a screening tool in support of analysis of alternatives studies as well as in support of Army and Joint war fighting experimentation. It also has potential for use as an operational decision support tool for unit commanders. This thesis discusses three improvements to SAM. First, SAM has been translated into a programming language that easily can be implemented into any simulation environment. Second, it now contains more realistic constraints on sensor platform employment duration and distance. Third, the model estimates of sensor performance have been improved with a Probability Line of Sight model. Together, these improvements have greatly improved SAM's usability. / Captain, German Army