KAUST DepartmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Computer Science Program
Visual Computing Center (VCC)
Online Publication Date2018-10-24
Print Publication Date2018
Permanent link to this recordhttp://hdl.handle.net/10754/629947
MetadataShow full item record
AbstractWe introduce a new approach for procedural modeling. Our main idea is to select shapes using selection-expressions instead of simple string matching used in current state-of-the-art grammars like CGA shape and CGA++. A selection-expression specifies how to select a potentially complex subset of shapes from a shape hierarchy, e.g.
CitationJiang H, Yan D-M, Zhang X, Wonka P (2018) Selection Expressions for Procedural Modeling. IEEE Transactions on Visualization and Computer Graphics: 1–1. Available: http://dx.doi.org/10.1109/TVCG.2018.2877614.
SponsorsWe would like to thank Michael Schwarz for developing an initial version of the language and procedural modeling system with us in 2015/2016. He proposed the concepts of virtual, attached, and contained shapes and contributed to the development of the navigation-based selection and constraint handling. He also created Figure 1 and suggested the term selection expression. We also hadmultiple helpful discussions with Peter Rautek and Liangliang Nan about SELEX. Fuzhang Wu helped with the comparison to CGA shape. Further, we would like to acknowledge funding from the Visual Computing Center (VCC) at KAUST through the CARF program and the National Natural Science Foundation of China (61620106003, 61802362, 61772523, and 61331018).
Showing items related by title, author, creator and subject.
BER Performance of FSO Links over Unified Channel Model for Pointing Error ModelsJung, Kug-Jin; Nam, Sung Sik; Ko, Young-Chai; Alouini, Mohamed-Slim (2018 IEEE International Conference on Communications Workshops (ICC Workshops), Institute of Electrical and Electronics Engineers (IEEE), 2018-07-05) [Conference Paper]In this paper, we investigate the bit error rate (BER) performance of single free-space optical (FSO) link over strong turbulence channel combined with various pointing error channel models. Considering atmospheric turbulence and pointing errors as main factors that deteriorate the link performance, we obtain unified finite series approximation of composite probability density function (PDF) which embraces generalized pointing models. By using these results, we conduct BER analysis of FSO link that accounts for both types of detection mechanism (i.e. intensity modulation/direct detection and heterodyne detection). Moreover, the simulation results confirm that the approximation expression can provide precise evaluation for BER performance of FSO communication systems.
MobiSeq: De novo SNP discovery in model and non-model species through sequencing the flanking region of transposable elementsRey-Iglesia, Alba; Gopalakrishan, Shyam; Carøe, Christian; Alquezar-Planas, David E.; Ahlmann Nielsen, Anne; Röder, Timo; Bruhn Pedersen, Lene; Næsborg-Nielsen, Christina; Sinding, Mikkel-Holger S.; Fredensborg Rath, Martin; Li, Zhipeng; Petersen, Bent; Gilbert, M. Thomas P.; Bunce, Michael; Mourier, Tobias; Hansen, Anders Johannes (Molecular Ecology Resources, Wiley, 2018-12-21) [Article]In recent years, the availability of reduced representation library (RRL) methods has catalysed an expansion of genome-scale studies to characterize both model and non-model organisms. Most of these methods rely on the use of restriction enzymes to obtain DNA sequences at a genome-wide level. These approaches have been widely used to sequence thousands of markers across individuals for many organisms at a reasonable cost, revolutionizing the field of population genomics. However, there are still some limitations associated with these methods, in particular the high molecular weight DNA required as starting material, the reduced number of common loci among investigated samples, and the short length of the sequenced site-associated DNA. Here, we present MobiSeq, a RRL protocol exploiting simple laboratory techniques, that generates genomic data based on PCR targeted enrichment of transposable elements and the sequencing of the associated flanking region. We validate its performance across 103 DNA extracts derived from three mammalian species: grey wolf (Canis lupus), red deer complex (Cervus sp.) and brown rat (Rattus norvegicus). MobiSeq enables the sequencing of hundreds of thousands loci across the genome and performs SNP discovery with relatively low rates of clonality. Given the ease and flexibility of MobiSeq protocol, the method has the potential to be implemented for marker discovery and population genomics across a wide range of organisms—enabling the exploration of diverse evolutionary and conservation questions.
Model Predictive Control Paradigms for Direct Contact Membrane Desalination Modeled by Differential Algebraic EquationsGuo, Xingang; Albalawi, Fahad; Laleg-Kirati, Taous-Meriem (Institute of Electrical and Electronics Engineers (IEEE), 2019-11-25) [Conference Paper]Direct Contact Membrane Distillation (DCMD) is an emerging sustainable desalination technology that can utilize solar energy to desalinate seawater. The low water production rate associated with this technology prevents it from becoming commercially feasible. To overcome this challenge, advanced control strategies may be utilized. An optimization-based control scheme termed Model Predictive Control (MPC) provides a natural framework to optimally operate DCMD processes due to its unique control advantages. Among these advantages are the flexibility provided in formulating the objective function, the capability to directly handle process constraints, and the ability to work with various classes of nonlinear systems. Motivated by the above considerations, this paper proposes two MPC schemes that can maximize the water production rate of DCMD systems. The first MPC scheme is formulated to track an optimal set-point while taking input and stability constraints into account. The second MPC scheme termed Economic Model Predictive Control (EMPC) is formulated to maximize the distilled water flux while meeting input, stability and other process operational constraints. To illustrate the effectiveness of the two proposed control paradigms, the total water production under both control designs is compared. Simulation results show that the DCMD process produces more distilled water when it is operated by EMPC than when it is operated by MPC.