169,987 research outputs found
Revisiting Underapproximate Reachability for Multipushdown Systems
Boolean programs with multiple recursive threads can be captured as pushdown
automata with multiple stacks. This model is Turing complete, and hence, one is
often interested in analyzing a restricted class that still captures useful
behaviors. In this paper, we propose a new class of bounded under
approximations for multi-pushdown systems, which subsumes most existing
classes. We develop an efficient algorithm for solving the under-approximate
reachability problem, which is based on efficient fix-point computations. We
implement it in our tool BHIM and illustrate its applicability by generating a
set of relevant benchmarks and examining its performance. As an additional
takeaway, BHIM solves the binary reachability problem in pushdown automata. To
show the versatility of our approach, we then extend our algorithm to the timed
setting and provide the first implementation that can handle timed
multi-pushdown automata with closed guards.Comment: 52 pages, Conference TACAS 202
Input-Driven Tissue P Automata
We introduce several variants of input-driven tissue P automata where the
rules to be applied only depend on the input symbol. Both strings and multisets are
considered as input objects; the strings are either read from an input tape or defined
by the sequence of symbols taken in, and the multisets are given in an input cell at the
beginning of a computation, enclosed in a vesicle. Additional symbols generated during a
computation are stored in this vesicle, too. An input is accepted when the vesicle reaches a
final cell and it is empty. The computational power of some variants of input-driven tissue
P automata is illustrated by examples and compared with the power of the input-driven
variants of other automata as register machines and counter automata
Proof-Pattern Recognition and Lemma Discovery in ACL2
We present a novel technique for combining statistical machine learning for
proof-pattern recognition with symbolic methods for lemma discovery. The
resulting tool, ACL2(ml), gathers proof statistics and uses statistical
pattern-recognition to pre-processes data from libraries, and then suggests
auxiliary lemmas in new proofs by analogy with already seen examples. This
paper presents the implementation of ACL2(ml) alongside theoretical
descriptions of the proof-pattern recognition and lemma discovery methods
involved in it
Wood wasp inspired space and earth drill
In this chapter, we explain why the low gravity encountered on Mars or on the Moon and the low mass of the probes, landers and rovers that carry drilling devices limit classical drilling techniques. Novel boring solutions optimised in mass and power consumption are thus needed for space applications. Biologists have identified the wood wasp, an insect that is capable of "drilling" into wood to lay its eggs. A low mass and low power system, like an insect, capable of drilling into wood is of the highest interest for planetary drilling and terrestrial drilling alike. The general working principle of the wood wasp drill ("dual reciprocating drilling") will be exposed and the potential benefits of imitating the wood wasp for planetary drilling will be highlighted. Since the nature of wood is highly fibrous but the nature of extraterrestrial and terrestrial soils are not, it is necessary to adapt the wood wasp ovipositor to our target soils. A test bench to evaluate the influence of the different geometries and operational parameters was produced and is presented here. The dual reciprocating drilling experimental results obtained on this test bench are also highlighted. They should lead to a new and enhanced model and comprehension of dual-reciprocating-drilling
Stream Fusion, to Completeness
Stream processing is mainstream (again): Widely-used stream libraries are now
available for virtually all modern OO and functional languages, from Java to C#
to Scala to OCaml to Haskell. Yet expressivity and performance are still
lacking. For instance, the popular, well-optimized Java 8 streams do not
support the zip operator and are still an order of magnitude slower than
hand-written loops. We present the first approach that represents the full
generality of stream processing and eliminates overheads, via the use of
staging. It is based on an unusually rich semantic model of stream interaction.
We support any combination of zipping, nesting (or flat-mapping), sub-ranging,
filtering, mapping-of finite or infinite streams. Our model captures
idiosyncrasies that a programmer uses in optimizing stream pipelines, such as
rate differences and the choice of a "for" vs. "while" loops. Our approach
delivers hand-written-like code, but automatically. It explicitly avoids the
reliance on black-box optimizers and sufficiently-smart compilers, offering
highest, guaranteed and portable performance. Our approach relies on high-level
concepts that are then readily mapped into an implementation. Accordingly, we
have two distinct implementations: an OCaml stream library, staged via
MetaOCaml, and a Scala library for the JVM, staged via LMS. In both cases, we
derive libraries richer and simultaneously many tens of times faster than past
work. We greatly exceed in performance the standard stream libraries available
in Java, Scala and OCaml, including the well-optimized Java 8 streams
Requirement analysis for building practical accident warning systems based on vehicular ad-hoc networks
An Accident Warning System (AWS) is a safety application that provides collision avoidance notifications for next generation vehicles whilst Vehicular Ad-hoc Networks (VANETs) provide the communication functionality to exchange these notifi- cations. Despite much previous research, there is little agreement on the requirements for accident warning systems. In order to build a practical warning system, it is important to ascertain the system requirements, information to be exchanged, and protocols needed for communication between vehicles. This paper presents a practical model of an accident warning system by stipulating the requirements in a realistic manner and thoroughly reviewing previous proposals with a view to identify gaps in this area
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