178 research outputs found

    The optimal sequence compression

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    This paper presents the optimal compression for sequences with undefined values. Let we have (N−m)(N-m) undefined and mm defined positions in the boolean sequence vvVvv V of length NN. The sequence code length can\u27t be less then mm in general case, otherwise at least two sequences will have the same code. We present the coding algorithm which generates codes of almost mm length, i.e. almost equal to the lower bound. The paper presents the decoding circuit too. The circuit has low complexity which depends from the inverse density of defined values D(vvV)=fracNmD(vv V) = frac{N}{m}. The decoding circuit includes RAM and random logic. It performs sequential decoding. The total RAM size is proportional to the logleft(D(vvV)ight),logleft(D(vv V) ight) , the number of random logic cells is proportional to loglogleft(D(vvV)ight)∗left(logloglogleft(D(vvV)ight)ight)2.log logleft(D(vv V) ight) * left(log log logleft(D(vv V) ight) ight)^2 . So the decoding circuit will be small enough even for the very low density sequences. The decoder complexity doesn\u27t depend of the sequence length at all

    Exploring the potential of grass feedstock from marginal land in Ireland: Does marginal mean lower yield?

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    peer-reviewedThe production of biomass feedstock from marginal land has attracted much attention as a means of avoiding conflict between the production of food and fuel. Yield potentials from marginal lands have generally not been quantified although it is generally assumed that lower biomass yields can be expected from marginal lands. A three year study was conducted in Ireland in order to determine if grass yields of perennial rhizomatous grasses (cocksfoot, tall fescue, reed canary grass, festulolium) for anaerobic digestion from three marginal land sites (very wet site, very dry site, site prone to flooding) could match yields from better soils. Randomised complete block designs were established on each site in 2012 with two varieties of each grass species as treatments. Three grass harvests were taken from each site in 2013 and in 2014. There was no significant difference between yields from the control site and those from the very dry site and the site prone to flooding. Biomass yields from the very wet site were 85% of those from the control site. Highest yields were obtained from festulolium which were significantly higher than yields from perennial ryegrass. An energy analysis showed that maximising the production of grass from low lying mineral marginal grassland in Ireland could provide enough energy to meet the energy requirements of both the private car fleet and the heavy goods vehicle fleet while avoiding conflict with food production which could be concentrated on conventional land

    Design of Low Power TPG for BIST Using Reconfigurable Johnson Counter

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    Worked in Self-Test assumes an essential job in testing of VLSI circuits. Test designs created utilizing design generator is utilized to test the Circuit under Test. Regular technique for test design age includes in Reconfigurable Johnson Counter and LFSR which needs in relationship between's progressive test vectors. A Modern Low Power test design is created utilizing Reconfigurable Johnson Counter and Accumulator. A Low Power utilization gadget is basic for battery worked gadgets. The system for delivering the test vectors for BIST is coded utilizing VHDL and reproductions were performed with ModelSim 10.0b

    A Guideline on Pseudorandom Number Generation (PRNG) in the IoT

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    Random numbers are an essential input to many functions on the Internet of Things (IoT). Common use cases of randomness range from low-level packet transmission to advanced algorithms of artificial intelligence as well as security and trust, which heavily rely on unpredictable random sources. In the constrained IoT, though, unpredictable random sources are a challenging desire due to limited resources, deterministic real-time operations, and frequent lack of a user interface. In this paper, we revisit the generation of randomness from the perspective of an IoT operating system (OS) that needs to support general purpose or crypto-secure random numbers. We analyse the potential attack surface, derive common requirements, and discuss the potentials and shortcomings of current IoT OSs. A systematic evaluation of current IoT hardware components and popular software generators based on well-established test suits and on experiments for measuring performance give rise to a set of clear recommendations on how to build such a random subsystem and which generators to use.Comment: 43 pages, 11 figures, 11 table

    Research in agriculture 1950-1951: annual report.

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