作者：
GALLAHUE, JSTHE AUTHOR is the Department Manager of Combat Systems Engineering at Litton Industries. Data Systems Division. Prior to joining Litton Industries
he was associated with UNIVAC. Since joining the Combat Systems Community in 1959. his assignments have included operational computer programming field engineering systems engineering equipment design proposal management test engineering. and programs management. In these varied roles he supported the NTDS R&D Program NTDS Service Test Program Interim Fleet Programming Center Pacific Anti-Submarine Warfare Ship Command and Control Systems SQS-26/NTDS/UBFCS Interface Design DD 963 Class LHA 1 Class. and the DDG 993 Class.
The required configuration management and the necessary control of the Surface Ship Combat System elements demand that they be considered as integrated and tested in accordance with an integrated test plan utilizing a...
The required configuration management and the necessary control of the Surface Ship Combat System elements demand that they be considered as integrated and tested in accordance with an integrated test plan utilizing an integrated test organization. The sometimes used approach of implementing a combat system test program based upon the individual combat system elements being independent, has proven to be less than satisfactory. Then is no question that some of the early testing at the unit, subsystem, and subprogram levels can be planned and conducted independent of a specific “end-item” combat System. This paper addresses the planning and implementing of combat system test with the emphases being upon the integrated phase of test and primarily the lead ship of a class. Information is presented to facilitate planning and implementing a combat system test program including use of shore facilities and integrating these activities with shipboard activities; when to form the test organization and what types of expertise are required; what are the key technical management tools; the proofing of test documentation; the need for detailed “step-by-step” procedures and traceability of the specified requirements; how to assist Ships Force; planning and stat using the conduct of the tests; integrating computer program and special testing into the test program; and the significance of early decisions on administrative and contractual arrangements.
作者：
RAINS, DASTILES, HRHO, SPKDr. Dean A. Rains
Director of Advanced Programs and IRBD. Ingalls Shipbuilding Division Litton Industries Pascagoula Miss. has been an active member of ASNE since 1970. a frequent contributor to the Naval Engineers Journal and a participant at ASNE Day meetings as both an Author and a Discusser. He is an Associate Fellow of the American Institute of Aeronautics has twenty-three years experience in the field of Naval Engineering and is a graduate of the California Institute of Technology from which he received his B.S. degree (1950) and his M.S. degree (1952). both in Mechanical Engineering. and his Ph.D. degree (1954) in Mechanical Engineering and Mathematics. Mr. H. Richard Stiles graduated from the U.S. Naval Academy in 1965. Prior to leaving the naval service in 1970
he was designated as a Naval Aviator and authored two Patents one for an aircraft optical glide slope reference system and the second for an intercommunications system for air traffic control. As an author he has had technical papers published by SNAME — “Planning Hull Structure” — and by the Offshore Technology Conference — “A Fourth Generation Crewboat.” At the present time he serves as an Engineering Specialist for the Hull Technical Department at Ingalls Shipbuilding Division. Mr. Stephen P.K. Ho is also with Ingalls Shipbuilding Division where
since 1970 he has worked on various phases of naval engineering and advanced studies. He received both his B.S. and M.S. degrees in Naval Architecture and Marine Engineering from the University of Michigan in 1958 and 1959 respectively. and prior to joining Ingalls Shipbuilding Division also worked with other Marine Firms in ship design particularly in computer applications to Preliminary Design the Construction Process and the Management Information System. Besides ASNE which he joined in January 1980. he is a member of SNAME.
Lower Fleet operating costs and independence from foreign fossil fuel resources are the goals of energy conservation efforts for Navy surface ship. This paper describes an evaluation of a wide variety of energy conser...
Lower Fleet operating costs and independence from foreign fossil fuel resources are the goals of energy conservation efforts for Navy surface ship. This paper describes an evaluation of a wide variety of energy conservation approaches. A standard 20-knot, 300-hour Destroyer mission is established so that all of the approaches can be compared on a total fuel required basis. The approaches studied include use of aluminum hull construction; light weight machinery; trail-shaft or cross-connect operation for twin screw ships; improved performance propulsors; advanced power plant types, such as COGAS or cruise engines; use of energy storage techniques to improve ship service generator performance; electrical load reductions; improved performance ship service generators; hull drag reductions; crew size reductions; design margin reduction; reduced performance requirement (such as top speed); and habitability standard reductions. The overall results can be effected by reductions in range requirements as well. Mission duration was held constant at 45 days throughout the study. The results of the study indicate that the combination of these various possible improvements may reduce the fuel used to be as low as one-third of the current levels. Weight reductions are very effective for achieving significant fuel savings.
This book constitutes the refereed proceedings of the 7th International Conference on Web Reasoning and Rule Systems, RR 2013, held in Manheim, Germany in July 2013. The 19 revised research papers and 4 technical comm...
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ISBN:
(数字)9783642396663
ISBN:
(纸本)9783642396656
This book constitutes the refereed proceedings of the 7th International Conference on Web Reasoning and Rule Systems, RR 2013, held in Manheim, Germany in July 2013.
The 19 revised research papers and 4 technical communications presented together with 2 invited talks and 1 tutorial talk were carefully reviewed and selected from 34 submissions. The scope of conference is decision making, planning, and intelligent agents, reasoning, machine learning, knowledge extraction and IR technologies, large-scale data management and reasoning on the web of data, data integration, dataspaces and ontology-based data access, non-standard reasoning, algorithms for distributed, parallelized, and scalable reasoning, and system descriptions and experimentation.
Recent advancements in Graph Neural Networks (GNN) have facilitated their widespread adoption in various applications, including recommendation systems. GNNs have proven to be effective in addressing the challenges po...
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Recent advancements in Graph Neural Networks (GNN) have facilitated their widespread adoption in various applications, including recommendation systems. GNNs have proven to be effective in addressing the challenges posed by recommendation systems by efficiently modeling graphs in which nodes represent users or items and edges denote preference relationships. However, current GNN techniques represent nodes by means of a single static vector, which may inadequately capture the intricate complexities of users and items. To overcome these limitations, we propose a solution integrating a cutting-edge model inspired by category theory: Sheaf4Rec. Unlike single vector representations, Sheaf Neural Networks and their corresponding Laplacians represent each node (and edge) using a vector space. Our approach takes advantage of this theory and results in a more comprehensive representation that can be effectively exploited during inference, providing a versatile method applicable to a wide range of graph-related tasks and demonstrating unparalleled performance. Our proposed model exhibits a noteworthy relative improvement of up to 8.53% on F1-Score@10 and an impressive increase of up to 11.29% on NDCG@10, outperforming existing state-of-the-art models such as Neural Graph Collaborative Filtering (NGCF), KGTORe and other recently developed GNN-based models. In addition to its superior predictive capabilities, Sheaf4Rec shows remarkable improvements in terms of efficiency: we observe substantial runtime improvements ranging from 2.5% up to 37% when compared to other GNN-based competitor models, indicating a more efficient way of handling information while achieving better performance. Code is available at https://***/antoniopurificato/Sheaf4Rec.
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