نتایج جستجو برای: floating bobbin tool
تعداد نتایج: 382760 فیلتر نتایج به سال:
In this paper we investigate the design of macro-cell generators of division and square root floating-point operators. The number representation used in our operators is the IEEE-754-1985 standard for binary floating-point numbers. The design and implementation of the generators rely on a powerful multiview layout synthesis tool called GenOptim. This CAD tool is able to output a set of differen...
Friction stir welding (FSW) is an effective solid-state joining process that has the potential to overcome common problems correlated with conventional fusion processes. FSW used for of metallic materials, in particular Al alloys (non-heat-treatable and heat-treatable). The heat produced by friction between rotating tool workpiece material generates a softened region near tool. Although input p...
References 1) Bekesy, G. von, DC resting potentials inside the cochlear partition. J. Acoust. Soc. Am., 24, 7276, 1952. 2) Tanaka, Y., Inoue, Y., and Nakamura, F., Cell identification of cochlear potentials with a marking technique. Audiology Jap., II, 319-320, 1968 (in Japanese). 3) Bobbin, R. P., Recording site in organ of Corti determined by electrode marking technique. Arch. Otolaryngol., 1...
Offshore winds are generally stronger and more consistent than winds on land, making the offshore environment attractive for wind energy development. A large part of the offshore wind resource is however located in deep water, where floating turbines are the only economical way of harvesting the energy. The design of offshore floating wind turbines relies on the use of modeling tools that can s...
The aim of this paper is FPGA implementation of architecture of floating point arithmetic core and analysis of area and timing performances of that arithmetic core. The basic concept behind designing such a core is to optimally utilize the algorithms of floating point arithmetic operations, i.e., addition, subtraction, multiplication and division and to enhance the operational speed of these ca...
Floating-point arithmetic exhibits subtle behavior and the growing majority of users of numerical software are not experts in roundoff error analysis. Even for experts, locating the source of floating-point exceptions and numerical instabilities in real world programs can be difficult. Further, many of the hardware features required or suggested by the IEEE Standard 754 which aid in the debuggi...
Floating-point numbers are limited both in range and in precision, yet they are widely used as a way to implement computations on real numbers. Thus arithmetic operations introduce small errors which might be amplified during subsequent computations and cause inaccuracies. As such, proving the correctness of a floating-point algorithm usually entails verifying that the computed results are stil...
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