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The improvements can be divided into three categories: 1) highly accurate tracking devices with rigid placement and full calibration; 2) lightweight selection of input/output devices and external power source, and 3) load-bearing vest to accommodate devices and distribute weight evenly around the user's body.
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Like, in case of mining, lightweight feature selection method by using Swarm Search and Accelerated PSO can be used in place of the traditional classification methods [10].
To assist engineers and metallurgists unfamiliar with aluminum alloys, the classification systems for aluminum alloy designations and tempers are described, and comparative guidelines are presented for lightweight materials selection by automotive engineers.
In addition to this, there was the need to apply lightweight feature selection-based algorithms to extract the dominant input parameters rather than using complex algorithms to tune the parameters of the CI techniques.
It was charming but rather lightweight, while the selection of music underlines a fondness for a rather sentimental brand of melancholy.
However, selection of lightweight materials is often focused on performance characteristics, which may lead to sub optimizations of life cycle environmental impact.
This paper extends this method to deal with the case of torsional stiffness design, and generalize it to single and multi-crieria selection of lightweight shafts subjected to a combination of bending, shear, and torsional load.
The type spectrum of lightweight design is established for selection convenience and principle extraction, vital to concept designs.
This chapter investigates the main input parameters and the various measures for vehicular structure design for sustainability in general and material selection for sustainable lightweight design in particular.
Recently, triboelectric nanogenerators (TENGs) have emerged as a powerful technology for harvesting low-frequency mechanical energy with characteristics including lightweight, low cost, and wide selection of materials [8, 9, 10, 11, 12, 13].
Autonomous management with attractor selection is so lightweight for vertical handover and does not require monitoring signal strength which causes heavy load and therefore we believe that these simulation results can be evidence for energy saving to some extent.
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