7,322 research outputs found
Efficient Constrained Codes That Enable Page Separation in Modern Flash Memories
The pivotal storage density win achieved by solid-state devices over magnetic
devices recently is a result of multiple innovations in physics, architecture,
and signal processing. Constrained coding is used in Flash devices to increase
reliability via mitigating inter-cell interference. Recently,
capacity-achieving constrained codes were introduced to serve that purpose.
While these codes result in minimal redundancy, they result in non-negligible
complexity increase and access speed limitation since pages cannot be read
separately. In this paper, we suggest new constrained coding schemes that have
low-complexity and preserve the desirable high access speed in modern Flash
devices. The idea is to eliminate error-prone patterns by coding data either
only on the left-most page (binary coding) or only on the two left-most pages
(-ary coding) while leaving data on all the remaining pages uncoded. Our
coding schemes are systematic and capacity-approaching. We refer to the
proposed schemes as read-and-run (RR) constrained coding schemes. The -ary
RR coding scheme is introduced to limit the rate loss. We analyze the new RR
coding schemes and discuss their impact on the probability of occurrence of
different charge levels. We also demonstrate the performance improvement
achieved via RR coding on a practical triple-level cell Flash device.Comment: 30 pages (single column), 5 figures, submitted to the IEEE
Transactions on Communications (TCOM). arXiv admin note: substantial text
overlap with arXiv:2111.0741
The Value of "Value Pricing" of Roads: Second-Best Pricing and Product Differentiation
Some road-pricing demonstrations use an approach called "value pr icing", in which travelers can choose between a free but congested roadway and a priced roadway. Recent research has uncovered a potentially serious problem for such demonstrations: in certain models, second-best tolls are far lower than those typically charged, and the welfare gains from profit maximization are small or even negative. That research, however , assumes that all travelers are identical, and it therefore neglects the benefits of product differentiation, by which people with different values of time can choose a suitable cost/quality combination. Using a model with two user groups, we find that accounting for heterogeneity in value of time is important in evaluating constrained policies, and improves the relative performance of policies that offer differential prices. Nevertheless, for most of the reasonable range of heterogeneity, second-best pricing produces far fewer benefits than pricing both roadways optimally, and profit-maximizing tolls are so high that over all welfare is reduced from the no-toll baseline.
Faster-than-Nyquist signaling for next generation communication architectures
We discuss a few promising applications of the faster-than-Nyquist (FTN) signaling technique. Although proposed in the mid 70s, thanks to recent extensions this technique is taking on a new lease of life. In particular, we will discuss its applications to satellite systems for broadcasting transmissions, optical long-haul transmissions, and next-generation cellular systems, possibly equipped with a large scale antenna system (LSAS) at the base stations (BSs). Moreover, based on measurements with a 128 element antenna array, we analyze the spectral efficiency that can be achieved with simple receiver solutions in single carrier LSAS systems
DEVELOPMENT AND CALIBRATION OF A GLOBAL GEOMETRIC DESIGN CONSISTENCY MODEL FOR TWO-LANE RURAL HIGHWAYS, BASED ON THE USE OF CONTINUOUS OPERATING SPEED PROFILES
Road safety is one of the most important problems in our society. It causes hundreds of fatalities every
year worldwide.
A road accident may be caused by several concurrent factors. The most common are human and
infrastructure. Their interaction is important too, which has been studied in-depth for years. Therefore,
there is a better knowledge about the driving task. In several cases, these advances are still not included
in road guidelines.
Some of these advances are centered on explaining the underlying cognitive processes of the driving task.
Some others are related to the analysis of drivers’ response or a better estimation of road crashes. The
concept of design consistency is related to all of them. Road design consistency is the way how road
alignment fits drivers’ expectancies. Hence, drivers are surprised at inconsistent roads, presenting a higher
crash risk potential.
This PhD presents a new, operating speed-based global consistency model. It is based on the analysis of
more than 150 two-lane rural homogeneous road segments of the Valencian Region (Spain). The final
consistency parameter was selected as the combination of operational parameters that best estimated
the number of crashes.
Several innovative auxiliary tools were developed for this process. One example is a new tool for
recreating the horizontal alignment of two-lane rural roads by means of an analytic-heuristic process. A
new procedure for determining road homogeneous segments was also developed, as well as some
expressions to accurately determine the most adequate design speed.
The consistency model can be integrated into safety performance functions in order to estimate the
amount of road crashes. Finally, all innovations are combined into a new road design methodology. This
methodology aims to complement the existing guidelines, providing to road safety a continuum approach
and giving the engineers tools to estimate how safe are their road designs.Camacho Torregrosa, FJ. (2015). DEVELOPMENT AND CALIBRATION OF A GLOBAL GEOMETRIC DESIGN CONSISTENCY MODEL FOR TWO-LANE RURAL HIGHWAYS, BASED ON THE USE OF CONTINUOUS OPERATING SPEED PROFILES [Tesis doctoral no publicada]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/48543TESI
Innovative capability and financing constraints for innovation: More money, more innovation?
This study presents a novel empirical approach to identify financing constraints for innovation based on the concept of an ideal test as suggested by Hall (2008). Firms were offered a hypothetical payment and were asked to choose between alternatives of use. If they selected additional innovation projects, they must have had some unexploited investment opportunities that were not profitable using more costly external finance. We attribute constraints for innovation not only to lacking financing, but also to firms' innovative capability. Econometric results show that financial constraints do not depend on the availability of internal funds per se, but that they are driven by innovative capability. --Innovation,financing constraints,innovative capability,multivariate probit models
System, Subsystem, Hive: boundary problems in computational theories of consciousness
A computational theory of consciousness should include a quantitative measure of consciousness, or MoC, that (i) would reveal to what extent a given system is conscious, (ii) would make it possible to compare not only different systems, but also the same system at different times, and (iii) would be graded, because so is consciousness. However, unless its design is properly constrained, such an MoC gives rise to what we call the boundary problem: an MoC that labels a system as conscious will do so for some – perhaps most – of its subsystems, as well as for irrelevantly extended systems (e.g., the original system augmented with physical appendages that contribute nothing to the properties supposedly supporting consciousness), and for aggregates of individually conscious systems (e.g., groups of people). This problem suggests that the properties that are being measured are epiphenomenal to consciousness, or else it implies a bizarre proliferation of minds. We propose that a solution to the boundary problem can be found by identifying properties that are intrinsic or systemic: properties that clearly differentiate between systems whose existence is a matter of fact, as opposed to those whose existence is a matter of interpretation (in the eye of the beholder). We argue that if a putative MoC can be shown to be systemic, this ipso facto resolves any associated boundary issues. As test cases, we analyze two recent theories of consciousness in light of our definitions: the Integrated Information Theory and the Geometric Theory of consciousness
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