BAHASA RUPA MOTIF BATIK CIAMIS MELALUI PROGRAM LINDENMAYER SYSTEMS

Jawa Barat memiliki sentra perajin rakyat yang banyak memiliki keragaman motif yang diangkat dari potensi kedaerahannya. Salah satu nya adalah batik Ciamis, tetapi kini dengan adanya wabah virus Corona 19 berdampak luar biasa terhadap ekonomi industri makro dan mikro dalam pengembangan usaha batik. Semakin banyak yang menghentikan usahanya. Sehingga dikhawatirkan motif-motif batik Ciamis semakin langka juga di pasaran. Melalui Turtle graphics motif-motif batik yang ada dibuat dalam bentuk citra vektor untuk dilestarikan dengan memanfaatkan teknologi digital. Tujuan dari penelitian ini motif batik Ciamis dapat dibuat bahasa rupa melalui proses digitalisasi menggunakan bahasa pemrograman MuPad. Manfaatnya adalah untuk mendokumentasikan serta memperkenalkan kembali motif Batik Ciamis yang sudah hampir punah. Metode yang digunakan adalah eksperimen digitalisasi melalui Lindenmayer System. Sampel batik Ciamis dipilih motif yang memiliki repetisi dengan pola berulang. Hasil penelitian ini menunjukkan bahwa motif batik Ciamis dapat dibuat dengan teknik lengkungan, garis horisontal dan vertikal, rotasi. Simpulan dari penelitian ini perancangan motif batik dapat menggunakan program Lindenmayer System sebagai blueprint dan dapat diimplementasikan pada batik nusantara. Kontribusi dari penelitian ini, cara pendokumentasian ini dapat diimplementasikan ke industri kreatif.

Genetically generated ASCII trees

This project, inspired by the article: "On genetic algorithms and Lindenmayer systems" by Gabriela Ochoa, implements an ASCII tree-generation program using L-systems.

Uncertainty assessment in subsurface modeling: considering geobody shape and connectivity in complex systems.

<p>Modeling the subsurface is a complex task because the data scarcity leads to ambiguous interpretations. As a result, subsurface models are prone to many uncertainties, which can be accounted for by stochastically simulating a large set of possible models. These models are constrained by the data (of various resolution and types), but also by geological knowledge and concepts. Integrating the latter in simulation methods emerges as a key point to reduce uncertainties, although it adds another layer of complexity to the modeling process. In this presentation, I focus on two different geological contexts characterized by specific geobody shapes and connectivity: channelized systems and salt tectonics.</p><p>Channelized systems are, indeed, characterized by elongated and sinuous structures, the channels, which evolve through time by continuous lateral and vertical migrations, and abrupt events like avulsion or meander cut-offs. The combination of erosion and deposition processes is an additional source of complexity in the sedimentary records. When considering the 3D reconstruction of channelized systems, honoring data while reproducing the complex spatial architecture of these structures - so their specific connectivity - remains challenging. The various methods we have recently developed can now be combined to achieve such a goal: (i) single channels or channel parts (for avulsion) can be simulated consistently with well-data, probability cubes, or confinement thanks to a method based on Lindenmayer systems; (ii) from a channel path, consistent 3D architectures can be generated with a reverse-time channel migration approach (ChaRMigS) handling the observed abandoned meanders; (iii) to honor well data within this reverse-time reconstruction, the stochastic simulation of abandoned meanders and avulsions offers interesting solutions. The impact of such modelling methodology on connectivity reproduction has been demonstrated using static criteria, and a flow-based evaluation constitutes an obvious next step.</p><p>In the case of salt tectonics, one difficulty comes from the highly convoluted shapes taken by salt bodies, incompatible with the hypothesis of minimal surface classically used in geomodeling methods. To tackle this issue, we have developed a dedicated method to stochastically generate various salt envelopes in a pre-defined uncertainty zone. Simulations of welds, i.e. surfaces (or most often thin volumes) resulting from the removal of salt from a former layer or diapir stage, also allow us to reproduce topological singularities between salt and the surrounding sediments. Welds connect the different salt volumes, which let us recover a more geologically-consistent representation of such complex systems. The present method is still in its early days, and further improvements need to be undertaken to fully integrate the diversity of structures actually observed in the field.</p>

Deterministic Lindenmayer Systems with Dynamic Control of Parallelism

M-rate 0L systems are interactionless Lindenmayer systems together with a function assigning to every string a set of multisets of productions that may be applied simultaneously to the string. Some questions that have been left open in the forerunner papers are examined, and the computational power of deterministic M-rate 0L systems is investigated, where also tabled and extended variants are taken into consideration.

Gillespie-Lindenmayer systems for stochastic simulation of morphogenesis

Lindenmayer systems (L-systems) provide a useful framework for modelling the development of multicellular structures and organisms. The parametric extension of L-systems allows for incorporating molecular-level processes into the models. Until now, the dynamics of these processes has been expressed using differential equations, implying continuously valued concentrations of the substances involved. This assumption is not satisfied, however, when the numbers of molecules are small. A further extension that accounts for the stochastic effects arising in this case is thus needed. We integrate L-systems and the Gillespie’s Stochastic Simulation Algorithm to simulate stochastic processes in fixed and developing linear structures. We illustrate the resulting formalism with stochastic implementations of diffusion-decay, reaction-diffusion and auxin-transport-driven morphogenetic processes. Our method and software can be used to simulate molecular and higher-level spatially explicit stochastic processes in static and developing structures, and study their behaviour in the presence of stochastic perturbations.

Developing Tools for Networks of Processors

A great deal of research eort is currently being made in the realm of so called natural computing. Natural computing mainly focuses on the denition, formal description, analysis, simulation and programming of new models of computation (usually with the same expressive power as Turing Machines) inspired by Nature, which makes them particularly suitable for the simulation of complex systems.Some of the best known natural computers are Lindenmayer systems (Lsystems, a kind of grammar with parallel derivation), cellular automata, DNA computing, genetic and evolutionary algorithms, multi agent systems, arti- cial neural networks, P-systems (computation inspired by membranes) and NEPs (or networks of evolutionary processors). This chapter is devoted to this last model.

On bonded sequential and parallel insertion systems

We introduce a new variant of insertion systems, namely bonded insertion systems. In such systems, words are not only formed by usual letters but also by bonds between letters. Words which can be inserted, have “free” bonds at their ends which control at which positions in a word they can be inserted (namely only there, where the bonds “fit”). Two kinds of bonded insertion systems are defined in this paper: so-called bonded sequential insertion systems and bonded parallel insertion systems. In a sequential system, there is only one word inserted at a time. In a parallel system, there is a word inserted at every possible position in parallel in one time step. We investigate the generative capacity of those two kinds and relate the families of generated languages to some families of the Chomsky hierarchy and to families of languages generated by Lindenmayer systems. Additionally, we investigate some closure properties.