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Related publications (55)

An Optimal Planning Framework to Deploy Self-Reconfigurable Modular Robots

Auke Ijspeert, Mehmet Hasan Mutlu, Simon Lukas Hauser, Hala Khodr, Alexandre Bernardino

Self-reconfiguration is a hard problem due to the high dimensionality of self-reconfigurable modular systems. Searchbased approaches offer complete and optimal solutions. However, naive search algorithms cannot directly solve self-reconfiguration tasks in ...

2019

Modified parameter-setting-free harmony search (PSFHS) algorithm for optimizing the design of reinforced concrete beams

Mahmoud S. M. Shaqfa

The design of RC members with nontraditional methods is demanding due to the large number of unknown variables inherent in the design process. The complexity of the RC beam design optimization problem has led to many oversimplified models, so that the curr ...

2019

DESIA: A General Framework for Designing Interlocking Assemblies

Mark Pauly, Peng Song

Interlocking assemblies have a long history in the design of puzzles, furniture, architecture, and other complex geometric structures. The key defining property of interlocking assemblies is that all component parts are immobilized by their geometric arran ...

ASSOC COMPUTING MACHINERY2018

DESIA: A General Framework for Designing Interlocking Assemblies

Mark Pauly, Peng Song

ASSOC COMPUTING MACHINERY2018

Interdisciplinarity has become an inherent component of most research and education developments nowadays. It brings with it new challenges, from how to share a common language to how to avoid becoming generalists, as well as new opportunities in solving m ...

2017

Unlabeled Sensing: Reconstruction Algorithm and Theoretical Guarantees

Martin Vetterli, Benjamin Bejar Haro, Adam James Scholefield, Golnooshsadat Elhami

It often happens that we are interested in reconstructing an unknown signal from partial measurements. Also, it is typically assumed that the location (temporal or spatial) of the samples is known and that the only distortion present in the observations is ...

Ieee2017

Early-stage decision making approach for the selection of optimally integrated biorefinery processes

François Maréchal, Adriano Viana Ensinas, Shivom Sharma, Ayse Dilan Celebi

Lignocellulosic biorefineries are the best non-petroleum alternatives for a sustainable development. In the biorefinery process design, it is important to implement an algorithm that allows the systematic generation and the evaluation of energy conversion ...

2017

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Lignocellulosic biorefineries are the best non-petroleum alternatives for a sustainable development. In the biorefinery process design, it is important to implement an algorithm that allows systematic generation, evaluation of energy conversion chains and ...

2017

Model and metaheuristics for a scheduling problem integrating procurement, sale and distribution decisions

Rémy Glardon, Nicolas Zufferey

This paper presents an integrated approach for short-term supply chain management (SCM) at a fast moving consumer goods production plant. The problem is to determine the production quantities, to provide a detailed production schedule, to trigger the relev ...

Springer2017

On Selection of Samples in Algebraic Attacks and a New Technique to Find Hidden Low Degree Equations

Serge Vaudenay, Pouyan Sepehrdad, Petr Susil

The best way of selecting samples in algebraic attacks against block ciphers is not well explored and understood. We introduce a simple strategy for selecting the plaintexts and demonstrate its strength by breaking reduced-round KATAN, LBLOCK and SIMON. Fo ...

Springer Verlag2016

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