The recent advent of wireless energy transfer and harvesting (ETH) technologies has caused an upsurge of research activities directed to the design of novel ETH-based network architectures, protocols, and algorithms. ...
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The recent advent of wireless energy transfer and harvesting (ETH) technologies has caused an upsurge of research activities directed to the design of novel ETH-based network architectures, protocols, and algorithms. Wireless ETH techniques not only improve the convenience of energy replenishment of electronic devices by obviating the need for physical charging or replacement of a battery, but also become an efficient and economical way to supply energy to a large number of nodes. This controllable one-to-many ETH capability is particularly attractive for many scenarios. For instance, an interesting target scenario for the many ETH-based applications are sensor/actuator networks or, more generally, the so-called Internet of Things (IoT). In this multifarious context, a new networking paradigm, called wireless powered communication networking (WPCN), has been introduced. An ever increasing research interest in this area has been observed in the last few years due to the growing market penetration of both consumer and low-power electronics. The literature on this subject is heterogeneous and characterized by many diverse research directions. This Feature Topic aims at harmonizing the results of these efforts and providing a first comprehensive definition of WPCN, in order to blaze the trail for new tailored designs, novel technical solutions, and clear standardization directions.
A turbofan used in flight or in a bench test cell produces a lot of data. Numeric measurements describe the performance of the engine, the vibration conditions and more generally the behavior of the whole system (engi...
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ISBN:
(纸本)9781936263035
A turbofan used in flight or in a bench test cell produces a lot of data. Numeric measurements describe the performance of the engine, the vibration conditions and more generally the behavior of the whole system (engine + bench or aircraft). It seems reasonable to embed an application capable of health diagnosis. This inboard monitoring system should use very light algorithms. The code need to work on old fashion FADEC calculators (Fault Authority Digital Engine Control) built on a technology dating more than 20 years. Snecma, as an engine manufacturer, has a great knowledge of the engine design and its behavior. This knowledge helps to select the best inputs for a good abnormality detection process, hence limiting the need of a too complex solution. In this article, I describe a very simple anomaly detection algorithm designed for embedding on light computers. This algorithm was validated on a bench test cell running a military engine.
Signal-to-noise ratio (SNR) estimation plays an important role to adaptive modulation in Evolved Multimedia Broadcast Multicast Services (eMBMS). Based on the knowledge that the received signal space consists of signa...
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ISBN:
(纸本)9781467360470
Signal-to-noise ratio (SNR) estimation plays an important role to adaptive modulation in Evolved Multimedia Broadcast Multicast Services (eMBMS). Based on the knowledge that the received signal space consists of signal subspace and noise subspace, we propose a subspace-based SNR estimation solution to cope with the time-varying channel with frequency selective effect and different OFDM pilot structure situations in eMBMS. The simulation is carried out on both PC and Aeroflex PXI platform. Simulation results show this proposed method gives good performance with different eMBMS pilot length and time-varying channels.
作者：
Wu, BCYoung, GSSchmidt, WChoppella, KDr. Bi-Chu Wu:received a PhD in Mechanical Engineering from the University of Maryland
College Park in 1991. She has worked on projects involving naval architecture design optimization solid mechanics and database development. Presently a senwr engineer with Angle Incorporated Dr Wu's research interests are in design optimization and fuzzy logic applications. Dr. Gin-Shu Young:
a senior engineer with Angle Incorporated holds a PhD in Mechanical Engineering from the University of Maryland College Park. As a guest researcher with National Institute of Standards and Technologies from 1990 to 1993 he worked on vision-based navigation for autonomous vehicles. His experience also includes applications of optimization fuzzy logic neural network and genetic algorithm methods to engineering system design Mr. William Schmidt:co-founded Angle Incorporated in 1990 and has served as Vice PresidentlChiefScientist during this tame. He holds a B.Sc. in Applied Science from the Naval Acadt?my and an M.Sc. in Physics from the Naval Post Graduate School. He has cner 20 years experience in technical leadership
material and personnel management. He has led the application of computer aided design (CAD) and Product Model Information Exchange to the shipbuilding industry. His experience also includes leading the amlication of model based operational analysis to support the Live Fire Test Program for DDG 51 Class Destroyers. Mr. Krishna M. Choppella:is a Sofware Engineer at Eidea Laboratories
Incotporated where he works on componentbased distributed enterpvise frameworks. He has been involved in creating data analysis tools for the US Nay by integrating CAD modeis databases and graphical front ends. His work in the Masters degree program in Mechanical Engineering at the University of Texas at Austin was in di0ddase.r spectroscopy of combustion products in porous-matri burners. He received his Bachelors degree in Electrical Engineering in India. He was a Research Associate at the Centre for Laser Technology and Project Engi
Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive asse...
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Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive assertions. This paper describes a method based on fuzzy functions and an integrated performance index to model O/C using descriptive assertions to be used with mathematical formulas in optimization. Another issue addressed in this paper concerns the coordination of design elements when sequentially coupled, that is, when one leads the other and the performance of the follower depends greatly on the design of the leader. Based on neuro-fuzzy techniques, the method described here coordinates and optimizes sequentially coupled elements. The two methods are applied to machinery arrangement (MA) and pipe routing (PR). Preliminary models for optimization of MA and PR are described considering convenience, producibility: engine room size, interference and location as factors in the O/C set. Some test results from MA/PR applications are presented and discussed. The methods are generic and can be extended to other elements in ship design. They are mutually independent and may be used separately Two advantages of their use are an improvement in overall performance and a reduction in the need for redesign of elements.
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