作者:
PLATO, ARTIS I.GAMBREL, WILLIAM DAVIDArtis I. Plato:is Head of the Design Work Study/ Shipboard Manning/Human Factors Engineering Section
Systems Engineering and Analysis Branch Naval Ship Engineering Center (NAVSEC). He graduated from the City College of New York in 1956 receiving his Bachelor of Mechanical Engineering degree. Following this he started work at the New York Naval Shipyard in the Internal Combustion Engine and Cargo Elevator Section. During 1957 and 1958 he was called up for active duty with the U.S. Army Corps of Engineers and served in Europe with a Construction Engineer Battalion. After release from active duty he returned to the shipyard where he remained until 1961 when he transferred to the Naval Supply Research and Development Facility Bayonne New Jersey. Initially he was in charge of an Engineering Support Test Group and the drafting services for the whole Facility. Later he became a Project Engineer in the Food Services Facilities Branch with duties that included planning and designing new afloat and ashore messing facilities for the Navy. In 1966 he transferred to NAVSEC as a Project Engineer in the Design Work Study Section and in this capacity worked on selected projects and manning problems for new construction and also developed a computer program (Manpower Determination Model) that makes accurate crew predictions for feasibility studies. In 1969 he became Head of the Section. He has been active in the U.S. Army Reserve since his release from active duty and his duties have included command of an Engineer Company various Staff positions and his present assignment as Operations Officer for a Civil Affairs Group. He has completed the U. S. A rmy Corps of Engineers Career Course and the Civil Affairs Career Course and is presently enrolled in the U.S. Army Command and General Staff College non-resident course. Additionally he completed graduate studies at American University Washington D.C in 1972 receiving his MSTM degree in Technology of Management and is a member of ASE ASME CAA U. S. Naval Instit
The purpose of this paper is to discuss a system analysis technique called “Design Work Study”, that is used by the U.S. Navy for the development of improved ship control systems. The Design Work Study approach is o...
作者:
Ramamoorthy, C.V.Kim, K.H.Chen, W.T.Computer Science Division
Department of Electrical Engineering and Computer Sciences University of California Berkeley Calif 94720 United States Department of
Electrical Engineering Systems and Computer Science Program University of Southern California Los Angeles Calif. United States
The usefulness of software monitors in testing large ‘programs is discussed. Several types of testing strategies based on the use of monitors are surveyed. Since there is a computational overhead involved in employin...
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An empirical heuristic learning identification algorithm of Ivakhnenko was modified and used to model an environmental system producing high nitrate levels in agricultural drain water in the Corn Belt. The method amou...
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This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” priority program 1593, which was launched by the German Research Foundation (“Deutsche Forschungsgemeinschaft (D...
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ISBN:
(数字)9783030134990
ISBN:
(纸本)9783030134983;9783030135010
This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” priority program 1593, which was launched by the German Research Foundation (“Deutsche Forschungsgemeinschaft (DFG)”) to develop new approaches to software engineering with a specific focus on long-lived software systems. The different lifecycles of software and hardware platforms lead to interoperability problems in such systems. Instead of separating the development, adaptation and evolution of software and its platforms, as well as aspects like operation, monitoring and maintenance, they should all be integrated into one overarching process.;Accordingly, the book is split into three major parts, the first of which includes an introduction to the nature of software evolution, followed by an overview of the specific challenges and a general introduction to the case studies used in the project. The second part of the book consists of the main chapters on knowledge carrying software, and cover tacit knowledge in software evolution, continuous design decision support, model-based round-trip engineering for software product lines, performance analysis strategies, maintaining security in software evolution, learning from evolution for evolution, and formal verification of evolutionary changes. In turn, the last part of the book presents key findings and spin-offs. The individual chapters there describe various case studies, along with their benefits, deliverables and the respective lessons learned. An overview of future research topics rounds out the coverage.;The book was mainly written for scientific researchers and advanced professionals with an academic background. They will benefit from its comprehensive treatment of various topics related to problems that are now gaining in importance, given the higher costs for maintenance and evolution in comparison to the initial development, and the fact that today, most software is not developed from scratch, but as part of a c
作者:
BERG, DAVID J.JONES, WALTER S.MARRON, HUGH W.David Berg
a native of Michigan received his Bachelor's Degree in Mechanical Engineering from the Michigan Technological University in 1951 after which he began his career with the Bureau of Ships in the Machinery Design Branch on noise shock and vibration problems. He was project engineer for the axial flow pumpjet development on USS Witek (DD848) and USS Glover (AGDE1) and received his Master of Engineering Degree in Naval Architecture in 1964 from the University of California Berkeley. Mr. Berg is currently acting head of the Ship Performance and Trials Section of the Propulsion Systems Analysis Branch in the Naval Ship Engineering Center. He received the Meritorious Civilian Service Award in 1962 for contributions to the design of the USS Thresher (SSN593) and was awarded the Superior Performance Award for Outstanding Performance in 1966. Hugh Marron
a native of Pennsylvania received his Bachelor of Science Degree in Civil Engineering from the Pennsylvania State University in 1939. Upon graduation he was employed for one year with the Pennsylvania Department of Highways as a construction engineer. In July 1940 he became a Marine Engineer at the Philadelphia Naval Shipyard where after a period of apprenticeship and special training in this new field he was assigned to the Machinery Scientific Group of the Design Division. Then in October 1945 he was transferred to the Design Division of the Bureau of Ships. Mr. Marron is now a Project Coordinator in the Propulsion Power and Auxiliary Systems Division of the Naval Ship Engineering Center. Walter S. Jones
a native of Virginia graduated from the George Washington University with a BME in June 1958. From July of that year through June 1965 he served with the Machinery Design Branch of the Bureau of Ships where he was Project Engineer for the Hydroneu-matic Ram Jet and Water jet Propulsion Systems. Mr. Jones is currently the Machinery Coordinator for the Computer Aided Ship Design Program in the Naval Ship Engineering Center.
Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of millions of cells across species and diseases. These data have spurred the development of hundreds of computational tools to derive nov...
Single-cell RNA sequencing (scRNA-seq) has provided a high-dimensional catalog of millions of cells across species and diseases. These data have spurred the development of hundreds of computational tools to derive novel biological insights. Here, we outline the components of scRNA-seq analytical pipelines and the computational methods that underlie these steps. We describe available methods, highlight well-executed benchmarking studies, and identify opportunities for additional benchmarking studies and computational methods. As the biochemical approaches for single-cell omics advance, we propose coupled development of robust analytical pipelines suited for the challenges that new data present and principled selection of analytical methods that are suited for the biological questions to be addressed.
Three abstract optimization problems are presented along with doubly iterative algorithms for their numerical solution. These algorithms are generalizations of particular algorithms described by Barr and Gilbert [19],...
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Three abstract optimization problems are presented along with doubly iterative algorithms for their numerical solution. These algorithms are generalizations of particular algorithms described by Barr and Gilbert [19], [21] and Fujisawa and Yasuda [22]. The supporting theory is fully developed along with proofs of convergence. Practical aspects of computations are considered and procedures which insure rapid convergence are discussed. Two applications to discrete-time optimal control problems are described.
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