624 research outputs found

    Data-driven identification of structural alerts for mitigating the risk of drug-induced human liver injuries

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    El presente trabajo propone, tomando como eje los postulados de Iuri Lotman acerca de la memoria, una lectura de la novela Los pichiciegos (1984), del escritor argentino Rodolfo Enrique Fogwill (1941-2010). Escrito en paralelo a la guerra de las Malvinas, este relato pone en cuestión la narrativa oficial de la guerra y problematiza, en clave literaria, las tensiones entre memoria y ficción en la construcción de un acontecimiento relevante de la historia latinoamericana. De este modo, nuestro trabajo propone un abordaje, desde el campo de la semiótica de la cultura, de las complejas relaciones entre memoria y ficción.From the perspective of Iuri Lotman´s concept about memory, this paper propose a reading of Los pichiciegos, novel that wrote by the Argentinian author Rodolfo Enrique Fogwill (1941-2010). Written at the same moment of Falklans War happens, this story calls into question the official narrative of the war and discuss, in literary key, boundaries between memory and fiction on contemporary Latin-American history. Thus, from the field of Cultural Semiotics, our work proposes an approach of the complex relationship between memory and fiction in Los Pichiciegos.Aquest treball proposa, prenent com a eix els postulats de Iuri Lotman sobre la memòria, una lectura de la novel·la Los pichiciegos (1984), de l'escriptor argentí Rodolfo Enrique Fogwill (1941-2010). Escrit en paral·lel a la guerra de les Malvines, aquest relat posa en qüestió la narrativa oficial de la guerra i problematitza, en clau literària, les tensions entre memòria i ficció en construir un esdeveniment rellevant de la història llatinoamericana. D'aquesta manera, el nostre treball proposa un abordatge, des del camp de la semiòtica de la cultura, de les complexes relacions entre memòria i ficció

    A Game-Theoretic Approach to Energy-Efficient Resource Allocation in Device-to-Device Underlay Communications

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    Despite the numerous benefits brought by Device-to-Device (D2D) communications, the introduction of D2D into cellular networks poses many new challenges in the resource allocation design due to the co-channel interference caused by spectrum reuse and limited battery life of User Equipments (UEs). Most of the previous studies mainly focus on how to maximize the Spectral Efficiency (SE) and ignore the energy consumption of UEs. In this paper, we study how to maximize each UE's Energy Efficiency (EE) in an interference-limited environment subject to its specific Quality of Service (QoS) and maximum transmission power constraints. We model the resource allocation problem as a noncooperative game, in which each player is self-interested and wants to maximize its own EE. A distributed interference-aware energy-efficient resource allocation algorithm is proposed by exploiting the properties of the nonlinear fractional programming. We prove that the optimum solution obtained by the proposed algorithm is the Nash equilibrium of the noncooperative game. We also analyze the tradeoff between EE and SE and derive closed-form expressions for EE and SE gaps.Comment: submitted to IET Communications. arXiv admin note: substantial text overlap with arXiv:1405.1963, arXiv:1407.155

    A decomposition heuristics based on multi-bottleneck machines for large-scale job shop scheduling problems

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    Purpose: A decomposition heuristics based on multi-bottleneck machines for large-scale job shop scheduling problems (JSP) is proposed. Design/methodology/approach: In the algorithm, a number of sub-problems are constructed by iteratively decomposing the large-scale JSP according to the process route of each job. And then the solution of the large-scale JSP can be obtained by iteratively solving the sub-problems. In order to improve the sub-problems' solving efficiency and the solution quality, a detection method for multi-bottleneck machines based on critical path is proposed. Therewith the unscheduled operations can be decomposed into bottleneck operations and non-bottleneck operations. According to the principle of “Bottleneck leads the performance of the whole manufacturing system” in TOC (Theory Of Constraints), the bottleneck operations are scheduled by genetic algorithm for high solution quality, and the non-bottleneck operations are scheduled by dispatching rules for the improvement of the solving efficiency. Findings: In the process of the subproblems' construction, partial operations in the previous scheduled sub-problem are divided into the successive sub-problem for re-optimization. This strategy can improve the solution quality of the algorithm. In the process of solving the sub problems, the strategy that evaluating the chromosome's fitness by predicting the global scheduling objective value can improve the solution quality. Research limitations/implications: In this research, there are some assumptions which reduce the complexity of the large-scale scheduling problem. They are as follows: The processing route of each job is predetermined, and the processing time of each operation is fixed. There is no machine breakdown, and no preemption of the operations is allowed. The assumptions should be considered if the algorithm is used in the actual job shop. Originality/value: The research provides an efficient scheduling method for the large-scale job shops, and will be helpful for the discrete manufacturing industry for improving the production efficiency and effectiveness.Peer Reviewe
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