CHR Grammars

A grammar formalism based upon CHR is proposed analogously to the way Definite Clause Grammars are defined and implemented on top of Prolog. These grammars execute as robust bottom-up parsers with an inherent treatment of ambiguity and a high flexibility to model various linguistic phenomena. The formalism extends previous logic programming based grammars with a form of context-sensitive rules and the possibility to include extra-grammatical hypotheses in both head and body of grammar rules. Among the applications are straightforward implementations of Assumption Grammars and abduction under integrity constraints for language analysis. CHR grammars appear as a powerful tool for specification and implementation of language processors and may be proposed as a new standard for bottom-up grammars in logic programming. To appear in Theory and Practice of Logic Programming (TPLP), 2005Comment: 36 pp. To appear in TPLP, 200

An overview of the ciao multiparadigm language and program development environment and its design philosophy

We describe some of the novel aspects and motivations behind the design and implementation of the Ciao multiparadigm programming system. An important aspect of Ciao is that it provides the programmer with a large number of useful features from different programming paradigms and styles, and that the use of each of these features can be turned on and off at will for each program module. Thus, a given module may be using e.g. higher order functions and constraints, while another module may be using objects, predicates, and concurrency. Furthermore, the language is designed to be extensible in a simple and modular way. Another important aspect of Ciao is its programming environment, which provides a powerful preprocessor (with an associated assertion language) capable of statically finding non-trivial bugs, verifying that programs comply with specifications, and performing many types of program optimizations. Such optimizations produce code that is highly competitive with other dynamic languages or, when the highest levéis of optimization are used, even that of static languages, all while retaining the interactive development environment of a dynamic language. The environment also includes a powerful auto-documenter. The paper provides an informal overview of the language and program development environment. It aims at illustrating the design philosophy rather than at being exhaustive, which would be impossible in the format of a paper, pointing instead to the existing literature on the system

Implementation of MD5 Framework for Privacy-Preserving Support for Mobile Healthcare

The improvement of science and technology has made life so easy and fast that smartphones and other touch-screen minicomputers have become the most trusted personal storage and communication devices for individuals. Comparable to the rich enhancement in wireless body sensor networks, it is valuable to the development of medical treatment to be exceptionally adaptable and become very flexible by means of smartphones through 2G and 3G system bearers. This has made treatment simple even to the common individual in the general public with less payable cash. In this paper, we introduce privacy-preserving support for mobile healthcare using message digest where we have used an MD5 algorithm instead of AES, which can certainly achieve an efficient way and minimizes the memory consumed and the large amount of PHI data of the medical user (patient) is reduced to a fixed amount of size compared to AES which in parallel increases the speed of the data to be sent to TA without any delay which in-turn. This study implements a secure and privacy-preserving opportunistic computing framework (SPOC) for mobile-health care emergency. Utilizing smartphones and SPOC, assets like computing power and energy can be gathered to reliably to take care of intensive personal health information (PHI) of the medicinal client when he/she is in critical situation with minimal privacy disclosure. With these, the healthcare authorities can treat the patients (restorative clients) remotely, where the patients live at home or at different spots they run. This sort of a treatment can be done under mHealth (Mobile-Healthcare). In malice of the fact that in them-medicinal services administration, there are numerous security and information protection issues to be succeed. The main aim of this paper is to bring medical health to patients in remote locations by providing the basic triage of an emergency to increase the patient’s body acceptance until they can reach a proper medical facility, in addition to providing emergency care in minimal payable cash

Constraint programming on a heterogeneous multicore architecture

As bibliotecas para programação com restrições são úteis ao desenvolverem-se aplicações em linguagens de programação normalmente mais utilizadas pois não necessitam que os programadores aprendam uma. Nova, linguagem, fornecendo ferramentas de programação declarativa para utilização com os sistemas convencionais. Algumas soluções para programação com restrições favorecem completude, tais como sistemas baseados em propagação. Outras estão mais interessadas em obter uma boa solução rapidamente, rejeitando a necessidade de encontram todas as soluções; esta sendo a alternativa utilizada nos sistemas de pesquisa local. Conceber soluções híbridas (propagação + pesquisa local) parece prometedor pois as vantagens de ambas alternativas podem ser combinadas numa única solução. As arquiteturas paralelas são cada vez mais comuns, em parte devido à disponibilidade em grande escala, de sistemas individuais mas também devido à tendência em generalizar o uso de processadores multicore ou seja., processadores com várias unidades de processamento. Nesta tese é proposta uma. Arquitetura para resolvedores de restrições mistos, de pendendo de métodos de propagação e pesquisa local, a qual foi concebida para funcionar eficazmente numa arquitetura. Heterogéneo multiprocessador. /ABSTRACT - Constraint programming libraries are useful when building applications developed mostly in mainstrearn programming languages: they do not require the developers to acquire skills for a new language, providing instead declarative programming tools for use within conventional systems. Some approaches to constraint programming favour completeness, such as propagation-based systems. Others are more interested in getting to a good solution fast, regardless of whether all solutions may be found; this approach is used in local search systems. Designing hybrid approaches (propagation + local search) seems promising since the advantages may be combined into a single approach. Parallel architectures are becoming more commonplace, partly due to the large-scale availability of individual systems but also because of the trend towards generalizing the use of multicore microprocessors. In this thesis an architecture for mixed constraint solvers is proposed, relying both on propagation and local search, which is designed to function effectively in a heterogeneous multicore architecture