Similarity relations are reflexive, symmetric, and transitive fuzzy relations. they help to make approximate inferences, replacing the notion of equality. Similarity-based unification has been quite intensively invest...
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Demand response (DR) is regarded as an alternative for new infrastructure to meet the peak load, which curbs the greenhouse gas emission. As an intermediary agent, DR aggregator (DRA) needs to comprehend aggregated ba...
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ISBN:
(纸本)9781665434263
Demand response (DR) is regarded as an alternative for new infrastructure to meet the peak load, which curbs the greenhouse gas emission. As an intermediary agent, DR aggregator (DRA) needs to comprehend aggregated baseline load (ABL) in the DR event. However, there are a few studies estimating ABL from an aggregator's perspective. therefore, this work proposes a new ensemble method for probabilistic ABL estimation, which utilizes multiple clustering algorithms with varying cluster numbers to produce multiple customer divisions. And the combing weights for the ABL results, produced by the multiple customer divisions, are determined by linear programming problems. We demonstrate the proposed method using real world dataset, Low Carbon London trail. For probabilistic estimation, it has good performance with high credit. We show that no single individual method can achieve good performance all the time. Ensemble method is a better choice to obtain relatively stable and good results.
the proceedings contain 26 papers. the topics discussed include: new discoveries on integer factorization by valuated binary tree;fuzzy logic based hybrid model for automatic extractive text summarization;seismic data...
ISBN:
(纸本)9781450376594
the proceedings contain 26 papers. the topics discussed include: new discoveries on integer factorization by valuated binary tree;fuzzy logic based hybrid model for automatic extractive text summarization;seismic data analysis regression model on reactor pressure vessel using fast Fourier transform and machine learning;analysis of atmospheric quality based on cellular automata simulation;developing anti-tamper functionalities through continuous integration;evaluating huge matrix multiplication on real hadoop cluster;an affinity propagation approach for entity clustering with spark;applying code quality detection in online programming judge;a question detection algorithm for text analysis;toponym extraction in thai tweets using a hybrid approach;and offshore development center management in action.
the proceedings contain 9 papers. the topics discussed include: using Linux FIFOs to allow flexible hardware/software communications on reconfigurable systems-on-chip;improved parallelization of legacy embedded softwa...
ISBN:
(纸本)9783800747238
the proceedings contain 9 papers. the topics discussed include: using Linux FIFOs to allow flexible hardware/software communications on reconfigurable systems-on-chip;improved parallelization of legacy embedded software on soft-core MPSoCs through automatic loop transformations;exact mapping of rewritten linear functions to configurable logic;ZUCL: a ZYNQ UltraScale+ framework for OpenCL HLS applications;unfolding and folding: a new approach for code restructuring targeting HLS for FPGAs;HatScheT: a contribution to agile HLS;LeFlow: enabling flexible fpga high-level synthesis of tensorflow deep neural networks;a case study in using OpenCL on FPGAs: creating an open-source accelerator of the AutoDock molecular docking software;and a journey into DSL design using generative programming: FPGA mapping of image border handling through refinement.
this paper proposes a multiobjective Cartesian Genetic programming with an adaptive population size to design approximate digital circuits via evolutionary algorithms, analyzing the trade-off between the most often us...
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ISBN:
(纸本)9783030375997;9783030375980
this paper proposes a multiobjective Cartesian Genetic programming with an adaptive population size to design approximate digital circuits via evolutionary algorithms, analyzing the trade-off between the most often used objectives: error, area, power dissipation, and delay. Combinational digital circuits such as adders, multipliers, and arithmetic logic units (ALUs) with up to 16 inputs and 370 logic gates are considered in the computational experiments. the proposed method was able to produce approximate circuits with good operational characteristics when compared with other methods from the literature.
Delegating access privileges is a common practice of access control mechanisms. Delegation is usually used for distributing responsibilities of task management among entities. Delegation comes in two forms, GRANT and ...
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ISBN:
(纸本)9789897583599
Delegating access privileges is a common practice of access control mechanisms. Delegation is usually used for distributing responsibilities of task management among entities. Delegation comes in two forms, GRANT and TRANSFER. In GRANT delegation, a successful delegation operation allows delegated privileges to be available to boththe delegator and delegatee. In TRANSFER delegation, delegated privileges are no longer available to the delegator. Although several delegation approaches have been proposed, current models do not consider the issue of context delegation in context-based access control policies. We present two ontology-based context delegation approaches. Monotonic context delegation, which adopts GRANT version of delegation, and non-monotonic for TRANSFER version of delegation. the approach presented here provides a dynamic and adaptive privilege delegation for access control policies. We employ Description logic (DL) and logicprogramming (LP) technologies for modeling contexts, delegation and CBAC privileges. We have designed three lightweight Web Ontology Language (OWL) ontologies, CTX, CBAC, and DEL, for context, Context-Based Access Control (CBAC), and delegation, respectively. We show that semantic-based techniques can be used to support adaptive and dynamic context delegation for CBAC policies. We provide the formal framework of the approaches and show that they are sound, consistent and preserve least-privilege principle.
the design of digital circuits using Cartesian Genetic programming (CGP) has been widely investigated but the evolution of complex combinational logic circuits is a hard task for CGP. We introduce here a new mutation ...
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ISBN:
(纸本)9783030375997;9783030375980
the design of digital circuits using Cartesian Genetic programming (CGP) has been widely investigated but the evolution of complex combinational logic circuits is a hard task for CGP. We introduce here a new mutation operator for CGP that aims to reduce the number of evaluations needed to find a feasible solution by modifying the subgraph of the worst output of the candidate circuits. Also, we propose a variant of the standard evolutionary strategy commonly adopted in CGP, where (i) the Single Active Mutation (SAM) and (ii) the proposed mutation operator is used in order to improve the capacity of CGP in generating feasible circuits. the proposals are applied to a benchmark of combinational logic circuits with multiple outputs and the results obtained are compared to those found by a CGP with SAM. the main advantages observed when both mutation operators are combined are the reduction of the number of objective function evaluations required to find a feasible solution and the improvement in the success rate.
In this article the contribution of experiential learning, gamification and emerging technologies to Python programming language teaching is attempted to be sketched. Four scenarios were designed in order to constitut...
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ISBN:
(纸本)9781728143606
In this article the contribution of experiential learning, gamification and emerging technologies to Python programming language teaching is attempted to be sketched. Four scenarios were designed in order to constitute a new teaching proposal for the consolidation of specific modules, incorporating elements of dynamic games, emerging technology and approaching the subject that they are dealing with, in an experiential way in an authentic learning framework by solving problems of everyday life. the main approach of the scenarios is that of social constructivism. A study was conducted to assess the impact of the design of scenarios on learner motivation. the sample of the survey was 15 undergraduate students of the Department of Informatics with Applications in Biomedicine of the University of thessaly. After completing each scenario, they completed a questionnaire based on the CIS questionnaire survey, which was designed by Keller in 1987 with Likert's 5-step scale questions on the variables motivation, attention-relevance, confidence-satisfaction that are the components of the Kellers ARCS motivation model. the results showed that designing learning scenarios by combining experiential learning, gamification and the use of emerging technologies strengthens the motivation of trainees and leads to the achievement of learning goals.
Field Programmable Gate Arrays (FPGAs) are continually improving their computing capabilities and energy efficiency. Yet, programming FPGAs remains a time-consuming task and requires expert knowledge to obtain good pe...
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the proceedings contain 7 papers. the special focus in this conference is on Graphical Models for Security. the topics include: Combining Bayesian networks and fishbone diagrams to distinguish between intentional atta...
ISBN:
(纸本)9783030154646
the proceedings contain 7 papers. the special focus in this conference is on Graphical Models for Security. the topics include: Combining Bayesian networks and fishbone diagrams to distinguish between intentional attacks and accidental technical failures;Disclosure analysis of SQL workflows;on linear logic, functional programming, and attack trees;the attacker does not always hold the initiative: Attack trees with external refinement;a state machine system for insider threat detection.
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