Relevant bibliographies by topics / Amorphous Algorithm

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Amorphous Algorithm'

Author: Grafiati
Published: 3 June 2025
Last updated: 19 July 2025

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Journal articles on the topic "Amorphous Algorithm"

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Doan, Perdana, Nugroho Adi, and Dewanta Favian. "Performance Evaluation of DV-HOP and Amorphous Algorithms based on Localization Schemes in Wireless Sensor Networks." TELKOMNIKA Telecommunication, Computing, Electronics and Control 16, no. 3 (2018): 1150–57. https://doi.org/10.12928/TELKOMNIKA.v16i3.8560.

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In the field of high-risk observation, the nodes in Wireless Sensor Network (WSN) are distributed randomly. The result from sensing becomes meaningless if it is not known from where the originating node is. Therefore, a sensor node positioning scheme, known as the localization scheme, is required. The localization scheme consists of distance estimation and position computing. Thus, this resear ch used connectivity as distance estimation within range free algorithm DV-Hop and Amorphous, and then trilateral algorithm for computing the position. Besides that, distance estimation using the connectivity between nodes is not needed for the additional hardware ranging as required by a range-based localization scheme. In this research compared the localization algorithm based on range free localization, which are DV-Hop algorithm and Amorphous algorithm. The simulation result shows that the amorphous alg orithm have achieved 13.60% and 24.538% lower than dv-hop algorithm for each parameter error localization and energy consumption. On node density variations, dv-hop algorithm gained a localization error that is 26.95% lower than amorphous algorithm, but for energy consumption parameter, amorphous gained 14.227% lower than dv-hop algorithm. In the communication range variation scenario, dv-hop algorithm gained a localization error that is50.282% lower than amorphous. However, for energy consumption parameter, amorphous algorithm gained 12.35%. lower than dv-hop algorithm.
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Khadim, R., M. Erritali, and A. Maaden. "Range-Free Localization Schemes for Wireless Sensor Networks." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 2 (2015): 323. http://dx.doi.org/10.11591/tijee.v16i2.1620.

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<span lang="EN-US">Localization of nodes is one of the key issues of wireless sensor network (WSN) that gained a wide attention in recent years. The existing localization techniques can be generally categorized into two types: range-based and range-free. Compared with rang-based schemes, the range-free schemes are more cost-effective, because no additional ranging devices are needed. As a result, we focus our research on the range-free schemes. In this paper we study three types of range-free location algorithms to compare the localization error and energy consumption of each one. Centroid algorithm requires a normal node has at least three neighbor anchors, while DV-hop algorithm doesn’t have this requirement. The third studied algorithm is the amorphous algorithm similar to DV-Hop algorithm, and the idea is to calculate the hop distance between two nodes instead of the linear distance between them .The simulation results show that the localization accuracy of the amorphous algorithm is higher than that of other algorithms and the energy consumption does not increase too much. </span>
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Chen, Lin, Zhi Yi Fang, Wei Lv, and Zhuang Liu. "An Improved DV-HOP Localization Algorithm Based on Simulation Curve Fitting." Advanced Materials Research 684 (April 2013): 390–93. http://dx.doi.org/10.4028/www.scientific.net/amr.684.390.

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Localization technology is one of the key technologies in Wireless Sensor Network (WSN). The Centroid algorithm, DV-HOP algorithm, APIT algorithm and Amorphous are the classic algorithms which are based on Range-free localization algorithm. This paper is improved on the basis of the DV-HOP and Weighted DV-HOP node localization algorithm, proposed an improved DV-HOP and weighted DV-HOP of WSN localization algorithm based on Simulation Curve Fitting (SCF). The SCF algorithm makes the process more refined during selecting the beacon node and the selected beacon node can be closer to the accurate position.
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Napp, Nils, and Radhika Nagpal. "Distributed amorphous ramp construction in unstructured environments." Robotica 32, no. 2 (2014): 279–90. http://dx.doi.org/10.1017/s0263574714000113.

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SUMMARYWe present a model of construction using iterative amorphous depositions and give a distributed algorithm to reliably build ramps in unstructured environments. The relatively simple local strategy for interacting with irregularly shaped, partially built structures gives rise to robust adaptive global properties. We illustrate the algorithm in both single robot and multi-robot cases via simulations and describe how to solve key technical challenges to implementing this algorithm via a robotic prototype.
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Labrada-Nueva, Yainier, Martin H. Cruz-Rosales, Juan Manuel Rendón-Mancha, Rafael Rivera-López, Marta Lilia Eraña-Díaz, and Marco Antonio Cruz-Chávez. "Overlap Detection in 2D Amorphous Shapes for Paper Optimization in Digital Printing Presses." Mathematics 9, no. 9 (2021): 1033. http://dx.doi.org/10.3390/math9091033.

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Paper waste in the mockups design with regular, irregular, and amorphous patterns is a critical problem in digital printing presses. Paper waste reduction directly impacts production costs, generating business and environmental benefits. This problem can be mapped to the two-dimensional irregular bin-packing problem. In this paper, an iterated local search algorithm using a novel neighborhood structure to detect overlaps between amorphous shapes is introduced. This algorithm is used to solve the paper waste problem, modeled as one 2D irregular bin-packing problem. The experimental results show that this approach works efficiently and effectively to detect and correct the overlaps between regular, irregular, and amorphous figures.
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Song, Ce, Fangyuan Hu, Zhaoliang Meng, et al. "A modelling algorithm for amorphous covalent triazine-based polymers." Physical Chemistry Chemical Physics 22, no. 41 (2020): 23474–81. http://dx.doi.org/10.1039/d0cp01277g.

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Harshit, Mathur, and Surana Aditya. "Glass Classification based on Machine Learning Algorithms." International Journal of Innovative Technology and Exploring Engineering (IJITEE) 9, no. 11 (2020): 139–42. https://doi.org/10.35940/ijitee.H6819.0991120.

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Glass Industry is considered one of the most important industries in the world. The Glass is used everywhere, from water bottles to X-Ray and Gamma Rays protection. This is a non-crystalline, amorphous solid that is most often transparent. There are lots of uses of glass, and during investigation in a crime scene, the investigators need to know what is type of glass in a scene. To find out the type of glass, we will use the online dataset and machine learning to solve the above problem. We will be using ML algorithms such as Artificial Neural Network (ANN), K-nearest neighbors (KNN) algorithm, Support Vector Machine (SVM) algorithm, Random Forest algorithm, and Logistic Regression algorithm. By comparing all the algorithm Random Forest did the best in glass classification.
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Kraiem, Habib, Ezzeddine Touti, Abdulaziz Alanazi, et al. "Parameters Identification of Photovoltaic Cell and Module Models Using Modified Social Group Optimization Algorithm." Sustainability 15, no. 13 (2023): 10510. http://dx.doi.org/10.3390/su151310510.

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Photovoltaic systems have become more attractive alternatives to be integrated into electrical power systems. Therefore, PV cells have gained immense interest in studies related to their operation. A photovoltaic module’s performance can be optimized by identifying the parameters of a photovoltaic cell to understand its behavior and simulate its characteristics from a given mathematical model. This work aims to extract and identify the parameters of photovoltaic cells using a novel metaheuristic algorithm named Modified Social Group Optimization (MSGO). First, a comparative study was carried out based on various technologies and models of photovoltaic modules. Then, the proposed MSGO algorithm was tested on a monocrystalline type of panel with its single-diode and double-diode models. Then, it was tested on an amorphous type of photovoltaic cell (hydrogenated amorphous silicon (a-Si: H)). Finally, an experimental validation was carried out to test the proposed MSGO algorithm and identify the parameters of the polycrystalline type of panel. All obtained results were compared to previous research findings. The present study showed that the MSGO is highly competitive and demonstrates better efficiency in parameter identification compared to other optimization algorithms. The Individual Absolute Error (IAE) obtained by the MSGO is better than the other errors for most measurement values in the case of single- and double-diode models. Relatedly, the average fitness function obtained by the MSGO algorithm has the fastest convergence rate.
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Pan, M., and O. L. Krivanek. "HREM autotuning on crystalline materials." Proceedings, annual meeting, Electron Microscopy Society of America 53 (August 13, 1995): 24–25. http://dx.doi.org/10.1017/s0424820100136490.

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Complete autotuning of a high resolution electron microscope has been well established. It performs the following tasks: align the electron beam along the true electron-optical axis of objective lens (autoalignment), correct the astigmatism (autostigmation), and set the defocus to a user defined value (autofocus). It can also characterize the coefficient of 3-fold astigmatism while performing the autoalignment. Based on diffractogram analysis current HREM autotuning algorithm only works on amorphous materials. In reality, however, most of the HREM practice is performed on crystalline materials. Therefore it is highly desirable to extend the current HREM autotuning algorithm to crystalline specimens. In this abstract we report preliminary studies on attempting to analyze diffractograms from a mix of crystalline and amorphous materials.For crystalline specimens observed in most high resolution electron microscopes, except under UHV conditions, there is typically a thin layer of amorphous contamination due to either sample preparation or poor vacuum conditions. This amorphous layer can be easily seen at the edge of a crystalline sample in the microscope.
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Zhao, Lin-zhe, Xian-bin Wen, and Dan Li. "Amorphous Localization Algorithm Based on BP Artificial Neural Network." International Journal of Distributed Sensor Networks 11, no. 7 (2015): 657241. http://dx.doi.org/10.1155/2015/657241.

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Dissertations / Theses on the topic "Amorphous Algorithm"

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Drissi, Mohamed. "Un modèle de propagation de feux de végétation à grande échelle." Thesis, Aix-Marseille, 2013. http://www.theses.fr/2013AIXM4704.

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Le présent travail est consacré au développement et à la validation d'un modèle hybride de propagation d'un incendie de végétation à grande échelle prenant en compte les hétérogénéités locales liées à la végétation, à la topographie du terrain et aux conditions météorologiques. Dans un premier temps, on présente différentes méthodes permettant de générer un réseau amorphe, représentatif d'une distribution réaliste de la végétation. Le modèle hybride est un modèle de réseau où les phénomènes qui se produisent à l'échelle macroscopique sont traités de façon déterministe, comme le préchauffage du site végétal provenant du rayonnement de la flamme et des braises et de la convection par les gaz chauds, mais aussi son refroidissement radiatif et son inflammation pilotée. Le rayonnement thermique provenant de la flamme est calculé en combinant le modèle de flamme solide à la méthode de Monte Carlo et en considérant son atténuation par la couche d'air atmosphérique entre la flamme et la végétation réceptive. Le modèle est ensuite appliqué à des configurations simples de propagation sur un terrain plat ou incliné, en présence ou non d'un vent constant. Les résultats obtenus sont en bon accord avec les données de la littérature. Une étude de sensibilité a été également menée permettant d'identifier les paramètres les plus influents du modèle, en termes de vitesse de propagation du feu, et de les hiérarchiser. La phase de validation a portée sur l'analyse comparative des contours de feux calculés par le modèle avec ceux mesurés lors d'un brûlage dirigé réalisé en Australie et d'un feu réel qui a lieu en Corse en 2009, montrant un très bon accord en termes de vitesse de propagation<br>The present work is devoted to the development of a hybrid model for predicting the rate of spread of wildland fires at a large scale, taking into account the local heterogeneities related to vegetation, topography, and meteorological conditions. Some methods for generating amorphous network, representative of real vegetation landscapes, are proposed. Mechanisms of heat transfer from the flame front to the virgin fuel are modeled: radiative preheating from the flame and embers, convective preheating from hot gases, radiative heat losses and piloted ignition of the receptive vegetation item. Flame radiation is calculated by combining the solid flame model with the Monte Carlo method and by taking into account its attenuation by the atmospheric layer between the flame and the receptive vegetation. The model is applied to simple configurations where the fire spreads on a flat or inclined terrain, with or without a constant wind. Model results are in good agreement with literature data. A sensitivity study is conducted to identify the most influential parameters of the model. Eventually, the model is validated by comparing predicted fire patterns with those obtained from a prescribed burning in Australia and from a historical fire that occurred in Corsica in 2009, showing a very good agreement in terms of fire patterns, rate of spread, and burned area
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Souchon, Audrey. "Influence des phases amorphes dans la réponse optique des régolites planétaires : caractérisation des propriétés physiques et application à l'étude géologique de la Lune." Phd thesis, Toulouse 3, 2012. http://thesesups.ups-tlse.fr/1569/.

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Les techniques de télédétection sont aujourd'hui largement mises en œuvre pour l'exploration des surfaces planétaires, appelées régolites, telles que la Lune, Mercure, Mars ou les astéroïdes. La photométrie est une technique basée sur l'observation d'une surface sous des angles variés qui renseigne sur les propriétés physiques de surface : mode de diffusion des particules (diffusant vers l'avant ou rétrodiffusant), granulométrie, rugosité de surface, degré de compaction. . . Cette thèse est centrée sur les matériaux volcaniques et les phases amorphes (ou verres), en raison de leur importance dans les processus responsables de la formation et de l'évolution des régolites : volcanisme, cratérisation, interaction avec l'environnement spatial. À l'aide du modèle photométrique de Hapke, dont les paramètres, une fois inversés, permettent de remonter aux propriétés physiques de surface, ce sujet est exploré sous deux approches : en laboratoire et à partir de données orbitales. Les mesures multiangulaires expérimentales, réalisées avec le spectro-imageur de l'IRAP, ont permis la caractérisation photométrique de différents matériaux volcaniques granulaires naturels ayant des compositions, tailles de grains et des teneurs en verre et monocristaux variées : basaltes, sable volcanique, pyroclastiques, olivine, et verre issu de la fusion contrôlée de basalte. Suivant leur composition, formes et textures, une évolution des comportements photométriques des échantillons en fonction de la granulométrie a été notée. Les matériaux riches en verre frais et/ou monocristaux présentent un comportement spécifique peu observé jusqu'alors, ce qui permet de les distinguer des matériaux sans verre ou contenant du verre plus mature. Des mélanges basalte/verre basaltique ont également permis de mettre en évidence l'influence optique très forte et non linéaire du verre frais. Une étude photométrique du cratère lunaire Lavoisier à partir de données orbitales a montré l'applicabilité des techniques mises en œuvre en laboratoire sur des unités géologiques, et des caractéristiques photométriques propres aux dépôts pyroclastiques situés sur le plancher du cratère ont été déterminées. Un autre dépôt pyroclastique au niveau du cratère Lavoisier F montre un comportement photométrique distinct des pyroclastiques du cratère Lavoisier, témoignant d'une variété texturale, granulométrique ou compositionnelle entre ces unités. L'ensemble des résultats obtenus sur ces cratères apparaît cohérent en regard des expériences réalisées en laboratoire<br>Remote-sensing techniques are widely implemented today for the exploration of planetary surfaces, called regoliths, such as the Moon's, Mercury's, Mars' or asteroids'. Photometry is a technique based on the observation of a surface under various angles which gives information on the physical surface properties: particles' diffusion mode (forward-scattering or backscattering), grain size, surface roughness, compaction state. . . This PhD is centred on volcanic materials and amorphous phases (or glasses), because of their significance in processes leading to the formation and evolution of regoliths: volcanism, cratering, interaction with space environment. Using Hapke's photometric model, whose parameters, once inverted, lead to the physical surface properties, this subject is explored under two approaches: in laboratory, and from orbital data. Multiangular experimental measurements, carried out with IRAP's spectro-imaging device, allowed the photometric characterization of different natural granular volcanic materials with various compositions, grain sizes, and contents of glass and monocrystals: basalts, volcanic sand, pyroclastics, olivine, and glass from the controlled melt of basalt. According to their compositions, shapes, and textures, an evolution of the samples photometric behaviour with grain size has been noticed. Materials which are rich in fresh glass and/or monocrystals display a specific behaviour seldom observed so far, which enable their distinction from glass-free materials or with more mature glass. Mixtures of basalt and basaltic glass showed also the strong and highly non linear optical influence of fresh glass. A photometric study of the lunar crater Lavoisier from orbital data showed the applicability of techniques implemented in laboratory on geological units, and photometric characteristics inherent to the pyroclastic deposits on the crater floor have been determined. Another pyroclastic deposit located at Lavoisier F displays a photometric behaviour distinct from crater Lavoisier's pyroclastic deposits, showing a textural, granulometric or compositional variety between these units. All the results obtained for these craters make sense in the light of laboratory experiments
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Souchon, Audrey. "Influence des phases amorphes dans la réponse optique des régolites planétaires : caractérisation des propriétés physiques et application à l'étude géologique de la Lune." Phd thesis, Université Paul Sabatier - Toulouse III, 2012. http://tel.archives-ouvertes.fr/tel-00694176.

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Les techniques de télédétection sont aujourd'hui largement mises en œuvre pour l'exploration des surfaces planétaires, appelées régolites, telles que la Lune, Mercure, Mars ou les astéroïdes. La photométrie est une technique basée sur l'observation d'une surface sous des angles variés qui renseigne sur les propriétés physiques de surface : mode de diffusion des particules (diffusant vers l'avant ou rétrodiffusant), granulométrie, rugosité de surface, degré de compaction... Cette thèse est centrée sur les matériaux volcaniques et les phases amorphes (ou verres), en raison de leur importance dans les processus responsables de la formation et de l'évolution des régolites : volcanisme, cratérisation, interaction avec l'environnement spatial. À l'aide du modèle photométrique de Hapke, dont les paramètres, une fois inversés, permettent de remonter aux propriétés physiques de surface, ce sujet est exploré sous deux approches : en laboratoire et à partir de données orbitales. Les mesures multiangulaires expérimentales, réalisées avec le spectro-imageur de l'IRAP, ont permis la caractérisation photométrique de différents matériaux volcaniques granulaires naturels ayant des compositions, tailles de grains et des teneurs en verre et monocristaux variées : basaltes, sable volcanique, pyroclastiques, olivine, et verre issu de la fusion contrôlée de basalte. Suivant leur composition, formes et textures, une évolution des comportements photométriques des échantillons en fonction de la granulométrie a été notée. Les matériaux riches en verre frais et/ou monocristaux présentent un comportement spécifique peu observé jusqu'alors, ce qui permet de les distinguer des matériaux sans verre ou contenant du verre plus mature. Des mélanges basalte/verre basaltique ont également permis de mettre en évidence l'influence optique très forte et non linéaire du verre frais. Une étude photométrique du cratère lunaire Lavoisier à partir de données orbitales a montré l'applicabilité des techniques mises en œuvre en laboratoire sur des unités géologiques, et des caractéristiques photométriques propres aux dépôts pyroclastiques situés sur le plancher du cratère ont été déterminées. Un autre dépôt pyroclastique au niveau du cratère Lavoisier F montre un comportement photométrique distinct des pyroclastiques du cratère Lavoisier, témoignant d'une variété texturale, granulométrique ou compositionnelle entre ces unités. L'ensemble des résultats obtenus sur ces cratères apparaît cohérent en regard des expériences réalisées en laboratoire.
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Nagpal, Radhika, and Daniel Coore. "An Algorithm for Group Formation and Maximal Independent Set in an Amorphous Computer." 1998. http://hdl.handle.net/1721.1/6669.

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Amorphous computing is the study of programming ultra-scale computing environments of smart sensors and actuators cite{white-paper}. The individual elements are identical, asynchronous, randomly placed, embedded and communicate locally via wireless broadcast. Aggregating the processors into groups is a useful paradigm for programming an amorphous computer because groups can be used for specialization, increased robustness, and efficient resource allocation. This paper presents a new algorithm, called the clubs algorithm, for efficiently aggregating processors into groups in an amorphous computer, in time proportional to the local density of processors. The clubs algorithm is well-suited to the unique characteristics of an amorphous computer. In addition, the algorithm derives two properties from the physical embedding of the amorphous computer: an upper bound on the number of groups formed and a constant upper bound on the density of groups. The clubs algorithm can also be extended to find the maximal independent set (MIS) and $Delta + 1$ vertex coloring in an amorphous computer in $O(log N)$ rounds, where $N$ is the total number of elements and $Delta$ is the maximum degree.
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Yuan, Bay-Ann, and 袁蓓安. "AN ALGORITHM TO EXTRACT CIRCUIT AND PHYSICAL MODELS OF AMORPHOUS SILICON THIN-FILM TRANSISTORS." Thesis, 1995. http://ndltd.ncl.edu.tw/handle/40788622049366279825.

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碩士<br>國立中央大學<br>電機工程研究所<br>83<br>In this thesis, first we develop a two-dimensional device simulator for $a$-Si TFT. This simulator is based on an efficient analytical model for calculating the trapped charge density. Secondly we adopt a circuit model which is originated from the publication of Michael Shur. From this circuit model, the drain current can be accurately expressed through a set of circuit parameters. Finally we propose a methodology for reverse modeling. By means of this methodology, we can extract the circuit parameters from the I-V curves directly. Also the extracted circuit parameters can be used in integrated-circuit design. Moreover we go on extracting the parameters representing the distribution of DOS for the I-V curves.
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Jhong-CinHong and 洪忠欽. "Extract Solar Cell Parameters by Using Genetic Algorithm and Apply to Amorphous Silicon Thin Film Solar Cell." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/19422274248430214606.

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碩士<br>國立成功大學<br>微電子工程研究所碩博士班<br>100<br>Usually, we identify solar cell characteristics by measuring four basic parameters － open circuit voltage、short circuit current、fill factor and efficiency, but seldom we analyze the IV curve. Actually we can get some useful details from IV curve to know how to improve structure or fabrication process of solar cells. In our dissertation, we developed a program which can extract solar cell parameters including photocurrent, saturation current, series resistance, shunt resistance (conductance) and ideal factor. The program was developed by MATLAB 2008, and we used Genetic Algorithm as a solution, incorporated with solar cell equivalent circuit Single Diode Model. Besides, we used standard deviation between original curve and fitted cure as criterion to estimate accuracy. After testing, the program could extract parameters with the standard deviation below 3%, this indicated that our program can function work well and have good extraction. Finally, we connected the program with wxAMPS-1D, and applied to amorphous silicon solar cells TCO/p contact. We found that insertion layer p-uC-Si:H between AZO and p-a-SiC:H could improve front contact, and then reduce series resistance, and optimal thickness of p-uC-Si:H is 7nm. The simulation results are also identical to realistic process results.
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Book chapters on the topic "Amorphous Algorithm"

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Chelloug, S., S. Meshoul, and M. Batouche. "Clustering Microarray Data Within Amorphous Computing Paradigm and Growing Neural Gas Algorithm." In Advances in Applied Artificial Intelligence. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11779568_87.

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Hung Sheng-Chin, Chen Chieh-Yang, Chiang Chien-Hsueh, and Li Yiming. "Circuit-Simulation-Based Multi-objective Evolutionary Algorithm with Multi-Level Clock Driving Technique for a-Si:H TFTs Gate Driver Circuit Design Optimization." In Frontiers in Artificial Intelligence and Applications. IOS Press, 2015. https://doi.org/10.3233/978-1-61499-484-8-157.

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In this work, dynamic characteristic of a new amorphous silicon gate (ASG) driver circuit is optimized by using multi-objective evolutionary algorithm (MOEA) and hydrogenated amorphous silicon (a-Si:H) TFT circuit simulator on the unified optimization framework (UOF). The ASG driver circuit consisting of 14 a-Si:H TFTs is optimized for the given specifications of the fall time &amp;lt; 3 &amp;mu;s and the ripple voltage &amp;lt; &amp;minus;9 V with simultaneously minimizing the total layout area. More than 50% reductions on the falling time of the ASG driver circuit have been achieved by using the proposed optimization methodology together with a novel 3-level clock driving technique.
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DE CEUNINCK, W., ZHAO RUYAN, G. KNUYT, L. DE SCHEPPER, and L. M. STALS. "An Algorithm to Calculate Activation Energy Spectra for Structural Relaxation in Amorphous Alloys." In Rapidly Quenched Metals 6. Elsevier, 1988. http://dx.doi.org/10.1016/b978-1-85166-971-4.50114-6.

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Adrián De la Torre-Martínez, Francisco, Efren Delgado, María Dolores Josefina Rodríguez Rosales, Hiram Medrano-Roldán, Javier López-Miranda, and Damián Reyes-Jáquez. "Prediction of Solubility and Miscibility Parameters of Bismuth-Arsenic Complex and Amorphous Mineral Compounds Using Molecular Dynamics Simulation." In Bismuth-Based Nanostructured Materials [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.106316.

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Bismuth is one of the most difficult impurities to remove in mining concentrates and low concentrations generate problems in silver and copper refineries. Therefore, financial penalties are established when concentrations exceed 0.05%. Some researchers had used arsenic to remove bismuth with results of up to 52% of extraction. Unfortunately, this mechanism is not yet fully understood. The objective of this research was to obtain the solubility parameters of amorphous mineral compounds, including bismuth-based compounds, through computational simulation using molecular dynamics. The composition of the mineral sample was determined by X-ray diffraction and the crystalline species were obtained and modeled using Materials Studio software. The nanostructures were optimized by an energy minimization methodology using the Broyden-Fletcher-Goldfarb-Shanno algorithm and were validated using the figure of merit equation and density. Simulations were performed using the Universal Force Field at constant pressure and temperature. The results of the minerals identified in the sample were compared with arsenic trioxide, indicating miscibility between As2O3 and Bi2O3, possible miscibility with 10 other minerals, and immiscibility with the rest. The results indicate that As2O3 can be successfully used for the removal of Bi2O3 without a negative effect on the recovery of other minerals of higher commercial value.
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Alan Calderón Ch, J., Fernando O. Jiménez U., E. Benjamín Barriga G., et al. "Optimal Analysis for the Enhancement in the Thermal Variables Measurement by Smart and Modular Solid State Sensors." In New Advances in Biosensing [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.112676.

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The proposed research aims to analyze and optimize the measurement of thermal physical variables during the operation of a hydrogen combustion engine. The optimal measurement of the flow, temperature, pressure, and volume is given over the hydrogen, which is the main fuel of the studied combustion motor. Hence, the success of the measurement is based on the polynomial analysis of the combustion motor operation, which needs nonlinear algorithms to get the optimal correlation of the measured physical variables as well as a high robustness and short response time during the transduction of the measured physical variable, which is achieved as a consequence of the anodic aluminum oxide (AAO) amorphous nanostructures properties that are modular solid state integration of the designed smart sensor. The short response time and high robustness is a good advantage for the designed smart sensor since it gives more time to execute sophisticated algorithms in order to get the optimal physical variables measurement. In fact, the proposed smart sensor keeps the possibility to be modular and solid state for the interaction with the hydrogen fuel as well as recognizing the presence of other molecules mixed in the fluid, which can alarm the user who is able to recognize whether it is joined oxygen or carbon residues. Therefore, the proposed research work toward a good compromise to care for the environment condition based on a cleaner combustion motor operation.
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Conference papers on the topic "Amorphous Algorithm"

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Shen, Shikai, Bin Yang, Kaiguo Qian, et al. "An Improved Amorphous Localization Algorithm for Wireless Sensor Networks." In 2016 International Conference on Networking and Network Applications (NaNA). IEEE, 2016. http://dx.doi.org/10.1109/nana.2016.76.

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Lin-zhe Zhao, Xian-bin Wen, and Dan Li. "Amorphous Localization Algorithm Based on BP Artificial Neural Network." In International Conference on Software Intelligence Technologies and Applications & International Conference on Frontiers of Internet of Things 2014. Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1556.

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Xu, Y., L. X. Chen, W. Z. Guo, K. W. He, and J. X. Zuo. "Optimal design of high-frequency Fe-based amorphous transformer based on genetic algorithm." In 2017 IEEE 21st International Conference on Pulsed Power (PPC). IEEE, 2017. http://dx.doi.org/10.1109/ppc.2017.8291231.

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Shen, Shikai, Kaiguo Qian, Bin Yang, Yumei She, Wu Wang, and Yujian Wang. "An Improved Amorphous Algorithm in Wireless Sensor Network Based on Approximate Equilateral Triangle Beacon Selection." In 2017 International Conference on Networking and Network Applications (NaNA). IEEE, 2017. http://dx.doi.org/10.1109/nana.2017.30.

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Liu, D., W. Zhong, and C. Zhou. "Optimization design of amorphous metal distribution transformer based on improved quantum particle swarm optimization algorithm." In 18th International Conference on AC and DC Power Transmission (ACDC 2022). Institution of Engineering and Technology, 2022. http://dx.doi.org/10.1049/icp.2022.1297.

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Liu, Daosheng, Yongsheng Wang, and Guoxuan Huang. "Optimization Design of Amorphous Metal Dry-type Transformer Based on Adaptive Chaotic Particle Swarm Optimization Algorithm." In AIBDF 2024: The 4th Asia-Pacific Artificial Intelligence and Big Data Forum. ACM, 2024. https://doi.org/10.1145/3718491.3718510.

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Liu, Daosheng, Bokai Wei, Changwan Cai, and Wei Yuan. "Optimization Design of Amorphous Metal Distribution Transformer Based on Improved Fast and Elitist Multi-objective Genetic Algorithm." In 2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE). IEEE, 2020. http://dx.doi.org/10.1109/ichve49031.2020.9279947.

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8

Xu, Linqiang, Yongze Wang, and Ning Han. "Research on MPPT Control Algorithm of Flexible Amorphous Silicon Photovoltaic Power Generation System Based on BP Neural Network." In 2015 4th International Conference on Sensors, Measurement and Intelligent Materials. Atlantis Press, 2016. http://dx.doi.org/10.2991/icsmim-15.2016.30.

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Qu, Zeqing, Shaolei Zhai, Ling Wei, Jianyun Pei, Yijun Gan, and Can Ding. "Parameter Identification of J-A Modified Model of Fe-Based Amorphous Nanocrystalline Magnetic Materials Based on Improved Gray Wolf Algorithm." In 2024 7th International Conference on Energy, Electrical and Power Engineering (CEEPE). IEEE, 2024. http://dx.doi.org/10.1109/ceepe62022.2024.10586575.

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10

Tsalikis, Dimitrios, Chunggi Baig, Vlasis Mavrantzas, Eleftherios Amanatides, and Dimitrios Mataras. "Hierarchical simulation of microcrystalline PECVD silicon film growth and structure." In 13th International Conference on Plasma Surface Engineering September 10 - 14, 2012, in Garmisch-Partenkirchen, Germany. Linköping University Electronic Press, 2013. http://dx.doi.org/10.3384/wcc2.22-25.

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Abstract:
We have designed and implemented a hierarchical simulation methodology capable of addressing the growth rate and microstructural features of thin silicon films deposited through PECVD (Plasma Enhanced Chemical Vapor Deposition). Our main objective is to elucidate the microscopic mechanisms as well as the interplay between atomic level and macroscopic design parameters associated with the development of nano- or micro-scale crystalline regions in the grown film. The ultimate goal is to use multi-scale modeling as a design tool for tackling the issue of local crystallization and its dependence on operating variables. At the heart of our simulation approach is a very efficient, large-scale kinetic Monte Carlo (kMC) algorithm which allows generating samples of representative Si films based on a validated chemistry model. In a second step, the generated film is subjected to an atomistic simulation study which restores the molecular details lost or ignored in the kMC model. The atomistic simulations are computationally very demanding; they are, however, an important ingredient of our work: we use it to back-map the coarse grained model employed in the kMC simulations to an all-atom model which is further relaxed through detailed NPT molecular dynamics (MD) or Monte Carlo simulations. This tunes local structure thus also important morphological details associated with the presence of crystalline and amorphous regions (and the intervening interfacial domains) in the grown film.The kMC algorithm is based on a carefully chosen set of reacting or active radicals (species) in the gas phase impinging the film and a detailed set of surface reactions. Inputs for species fluxes are taken from a well-tuned plasma fluid model that includes a detailed gas phase chemistry reaction scheme. The growth mechanism consists of various surface kinetic events including radical-surface and adsorbed radical-radical interactions, radical-surface diffusion, and surface dissociation reactions. The very fast surface diffusion is decoupled from the rest of the kMC events and is treated deterministically in our work. For a three-dimensional Si(001)-(2x1):H crystalline lattice, our kMC algorithm allows us to simulate film growth over several seconds, resulting in thickness on the order of tens of nanometers. In the following pages we provide more details about the implementation of our kMC algorithm along with validation results.
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