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The article focuses on the technological innovations in lift trucks for driver's health and safety. It discusses the need of evolution in the lift trucks as the dangerous situations in the workplace can result in accidents. It reports that the market needs to realize the importance of technological development in the lift trucks that will enhance the safety of the lift-truck operators in the workplace.

Adaptive shared resource methods may be the only available effective countermeasure to rain-induced attenuation in satellite communication systems above 20 GHz. Two of these methods, frequency diversity (FDV) and burst length control (BLC) are examined and compared by using a unified approach. The fundamental statistical relationships between unassisted and assisted conditions are derived, and optimum values are identified. It is found that BLC (which improves power margins) is easier to implement than FDV, but FDV (which improves outage probability and retains most of its advantages at higher frequencies) is more effective in reducing built-in power margins in 'unassisted' conditions. From a large database at 11.6 GHz collected in the Sirio experiment, some realistic FDV results are derived for systems using 20/30 GHz bands for unassisted conditions and 12/14 GHz bands for assisted conditions. As the ESA Olympus satellite will carry both 20/30 GHz and 12/14 GHz transponders, an FDV experiment with Olympus has been proposed by CSTS; the characteristics of the three earth-stations planned to be built in Italy for the experiment are described. [ABSTRACT FROM AUTHOR]

It is well known that soft decoding algorithms are based on the use of reliability measures for binary and nonbinary symbols. We consider an analytical estimation of the distributions of reliability measures after soft decoding of block and convolutional codes or intersymbol interference (ISI) channels. This estimation, based on a simple geometric interpretation of reliability measures, allows the observation of different distributions for correct and incorrect symbols, and could be helpful for the analysis of soft decoding algorithms [ABSTRACT FROM PUBLISHER]

The article deals with the design of suboptimal data detectors for binary transmission over frequency selective channels. A detector consisting of a prefilter followed by a Viterbi processor with a number of states lower than that needed for maximum likelihood sequence estimation is considered. Often the parameters of the receiver are optimized according to the minimum mean square error criterion. Here a stochastic approximation algorithm that optimizes the parameters of the receiver according to a measure of the error probability is introduced. Simulation results show that the proposed design gives substantial benefits at moderate to high signal to noise ratio [ABSTRACT FROM PUBLISHER]