A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent engineering of Layered Structure...
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A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent engineering of Layered Structures, provides designers with an immediate assessment of the impacts of their decisions on several disciplines which are important to the performance of a modern naval topside structure, including electromagnetic interference effects (EMI), radar cross section (RCS), structural integrity, cost, and weight. Preliminary analysis modules in each of these disciplines are integrated to operate from a common set of design variables and a common materials database. Performance in each discipline and an overall fitness function for the concept are then evaluated. A graphical user interface (GUI) is used to define requirements and to display the results from the technical analysis modules. Optimization techniques, including feasible sequential quadratic programming (FSQP) and exhaustive search are used to modify the design variables to satisfy all requirements simultaneously. The development of this tool, the technical modules, and their integration are discussed noting the decisions and compromises required to develop and integrate the modules into a prototype conceptual design tool.
In an era of fiscal austerity, downsizing and unforgiving pressure upon human and economic capital, it is an Augean task to identify resources for fresh and creative work. The realities of the day and the practical de...
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In an era of fiscal austerity, downsizing and unforgiving pressure upon human and economic capital, it is an Augean task to identify resources for fresh and creative work. The realities of the day and the practical demands of more immediate fleet needs can often dictate higher priorities. Yet, the Navy must avoid eating its seed corn. Exercising both technical insight and management foresight, the fleet, the R&D community, the Office of the Chief of Naval Operations (OpNav) and the product engineering expertise of the Naval Surface Warfare Center (NSWC) are joined and underway with integrated efforts to marry new, fully demonstrated technologies and operational urgencies. Defense funding today cannot sponsor all work that can be mission-justified over the long term because budgets are insufficient to support product maturation within the classical development cycle. However, by rigorous technical filtering and astute engineering of both marketplace capabilities and currently available components, it is possible in a few select cases to compress and, in effect, integrate advanced development (6.3), engineering development (6.4), weapon procurement (WPN), ship construction (SCN), operation and maintenance (O&M,N) budgetary categories when fleet criticalities and technology opportunities can happily meet. In short, 6.3 funds can be applied directly to ''ripe gateways'' so modern technology is inserted into existing troubled or aging systems, sidestepping the lengthy, traditional development cycle and accelerating practical payoffs to recurrent fleet problems. To produce such constructive results has required a remarkable convergence of sponsor prescience and engineering workforce excellence. The paper describes, extensively, the philosophy of approach, transition strategy, polling of fleet needs, technology assessment, and management team requirements. The process for culling and selecting specific candidate tasks for SHARP sponsorship (matching operational need with t
作者：
STERN, HMETZGER, RHoward K. Stern:is presently vice president of Robotic Vision Systems
Inc. He received a bachelor of electrical engineering degree from College of the City of New York in 1960. Mr. Stern joined Dynell Electronics Corporation in 1971 and became part of the Robotic Vision Systems
Inc. staff at the time of its spin-off from Dynell. He was program manager of the various three-dimensional sensing and replication systems constructed by Dynell and Robotic Vision Systems. As program manager his responsibilities encompassed technical administrative and operational areas. The first two portrait sculpture studio systems and the first three replication systems built by Robotic Vision Systems Inc. were designed manufactured and operated under his direction. Before joining Dynell
Mr. Stern was a senior engineer at Instrument Systems Corporation and chief engineer of the Special Products Division of General Instrument Corporation. Prior to these positions Mr. Stern was chief engineer of Edo Commercial Corporation. At General Instrument and Edo Commercial he was responsible for the design and manufacture of military and commercial avionics equipment. Mr. Stern is presently responsible for directing the systems design and development for all of the company's programs.Robert J. Metzger:is currently engineering group leader at Robotic Vision Systems
Inc. He graduated summa cum laude from the Cooper Union in 1972 with a bachelor of electrical engineering degree. Under sponsorship of a National Science Foundation graduate fellowship he graduated from the Massachusetts Institute of Technology in 1974 with the degrees of electrical engineer and master of science (electrical engineering). In 1979 Mr. Metzger graduated from Polytechnic Institute of New York with the degree of master of science (computer science). Since 1974
Mr. Metzger has been actively engaged in the design of systems and software for noncontact threedimensional optical measurement for both military and commercial applications. Of particular note are his c
Ship's propellers are currently measured by manual procedures using pitchometers, templates and gauges. This measurement process is extremely tedious, labor intensive and time consuming. In an effort to provide in...
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Ship's propellers are currently measured by manual procedures using pitchometers, templates and gauges. This measurement process is extremely tedious, labor intensive and time consuming. In an effort to provide increased accuracy, repeatability and cost effectiveness in propeller manufacture, an automated propeller optical measurement system (APOMS) has been built which rapidly and automatically scans an entire ship's propeller using a 3-D vision sensor. This equipment is integrated with a propeller robotic automated templating system (PRATS) and the propeller optical finishing system (PROFS) which robotically template and grind the propeller to its final shape, using the APOMS-derived data for control feedback. The optical scanning and the final shape are both controlled by CAD/CAM data files describing the desired propeller shape. An automated propeller balancing system is incorporated into the PROFS equipment. The APOMS/PRATS/PROFS equipment is expected to provide lower propeller manufacturing costs.
With the widespread application of sequential pattern mining (SPM) algorithms, sequential patterns that allow gap constraints are valuable for discovering knowledge from biological data such as DNA and protein sequenc...
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With the widespread application of sequential pattern mining (SPM) algorithms, sequential patterns that allow gap constraints are valuable for discovering knowledge from biological data such as DNA and protein sequences and some non-biological data. This approach achieves a balance between contiguous constraint SPM and traditional SPM, enabling the discovery of a wider range of patterns while accommodating user-defined gaps as needed. Among all kinds of gap-constrained mining, non-overlapping SPM, which involves discovering interesting patterns where occurrences do not overlap with each other, satisfies the anti-monotonic property (the Apriori property, i.e., the support of a pattern is not larger than that of its sub-patterns). However, existing algorithms do not search for target sequential patterns, resulting in unnecessary and redundant pattern generation. Targeted pattern mining is a technique employed to discover itemsets or sequential patterns that are directly related to items of interest to the user. In this paper, we define and formalize the problem of targeted non-overlapping SPM and propose an algorithm named TALENT (TArgeted mining of SequentiaL PattErN with ConsTraints). Two search methods, including breadth-first and depth-first searching, are designed to address the generation of patterns. Furthermore, several pruning strategies are presented to reduce the reading of sequences and items in the data and terminate redundant pattern extensions. Finally, we conduct extensive experiments to compare the TALENT algorithm with the existing algorithms for mining non-overlapping sequential patterns. The experimental results demonstrate that TALENT has excellent mining efficiency and can deal efficiently with different query settings. In the best-case scenario, TALENT exhibits a three-order-of-magnitude reduction in time and a memory decrease to 20% of the original consumption compared to the baseline algorithm, NOSEP\(\rm _{Ta}\).
The book contains high-quality refereed research papers presented at the 7th International Conference on computerscience, engineering, and Education Applications (ICCSEEA2024), which took place in Kyiv, Ukraine, on A...
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ISBN:
(数字)9783031842283
ISBN:
(纸本)9783031842276
The book contains high-quality refereed research papers presented at the 7th International Conference on computerscience, engineering, and Education Applications (ICCSEEA2024), which took place in Kyiv, Ukraine, on April 27–28, 2024, and was organized by the National technical University of Ukraine "Igor Sikorsky Kyiv polytechnic Institute, the National Aviation University, Lviv polytechnic National University, Kharkiv National University of Radio Electronics, Wuhan University of technology, Polish Operational and Systems Society, and the International Research Association of Modern Education and computerscience. The book covers a variety of topics, including cutting-edge research in computerscience, artificial intelligence, engineering techniques, smart logistics, and knowledge representation with educational applications. The book is an invaluable resource for academics, graduate students, engineers, management professionals, and undergraduate students who are interested in computerscience and its applications in engineering and education.
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