Journal articles: '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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Madhiarasan, Manoharan, Daniel T. Cotfas, and Petru A. Cotfas. "Barnacles Mating Optimizer Algorithm to Extract the Parameters of the Photovoltaic Cells and Panels." Sensors 22, no. 18 (2022): 6989. http://dx.doi.org/10.3390/s22186989.

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The goal of this research is to accurately extract the parameters of the photovoltaic cells and panels and to reduce the extracting time. To this purpose, the barnacles mating optimizer algorithm is proposed for the first time to extract the parameters. To prove that the algorithm succeeds in terms of accuracy and quickness, it is applied to the following photovoltaic cells: monocrystalline silicon, amorphous silicon, RTC France, and the PWP201, Sharp ND-R250A5, and Kyocera KC200GT photovoltaic panels. The mathematical models used are single and double diodes. Datasets for these photovoltaic cells and panels were used, and the results obtained for the parameters were compared with the ones obtained using other published methods and algorithms. Six statistical tests were used to analyze the performance of the barnacles mating optimizer algorithm: the root mean square error mean, absolute percentage error, mean square error, mean absolute error, mean bias error, and mean relative error. The results of the statistical tests show that the barnacles mating optimizer algorithm outperforms several algorithms. The tests about the computational time were made using two computer configurations. Using the barnacles mating optimizer algorithm, the computational time decreases more than 30 times in comparison with one of the best algorithms, hybrid successive discretization algorithm.

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Vandervelden, Craig A., Salman A. Khan, Susannah L. Scott, and Baron Peters. "Site-averaged kinetics for catalysts on amorphous supports: an importance learning algorithm." Reaction Chemistry & Engineering 5, no. 1 (2020): 77–86. http://dx.doi.org/10.1039/c9re00356h.

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Stupakov, Oleksandr, and Peter Švec. "Three–Parameter Feedback Control of Amorphous Ribbon Magnetization." Journal of Electrical Engineering 64, no. 3 (2013): 166–72. http://dx.doi.org/10.2478/jee-2013-0024.

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This work describes a specially developed software for controllable magnetic hysteresis measurements of amorphous and nanocrystalline ribbons. The sophisticated algorithm enables to simplify a hardware design and to suppress an influence of experimental conditions on the measurement results. The main software feature is a three-stage feedback algorithm, which accurately adjusts the magnetization conditions: magnetization amplitude, geomagnetic bias and magnetization waveform. Air flux compensation of the induction signal is also performed by the software using an effective value of the coil cross section obtained from a calibration measurement without the ribbon. Applicability of the designed setup is illustrated for a series of nanocrystalline Hitperm ribbons measured at the power-line conditions: 50 Hz frequency and sinusoidal magnetization waveform.

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Andrecut, M. "A Simple Reverse Monte Carlo Algorithm for Structure Simulation of Multi-Component Amorphous Solids." Modern Physics Letters B 11, no. 24 (1997): 1047–55. http://dx.doi.org/10.1142/s0217984997001262.

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A simple Reverse Monte Carlo algorithm for structure simulations of multi-component amorphous solids is presented. The described algorithm is based on the standard reverse Monte Carlo method,1,2 developed for the monoatomic case, the application for poliatomic case being assured by using the Warren–Krutter–Morningstar approximation.3 An application for metal-metalloid glasses is also presented.

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Rabiej, Małgorzata. "Application of the particle swarm optimization method for the analysis of wide-angle X-ray diffraction curves of semicrystalline polymers." Journal of Applied Crystallography 50, no. 1 (2017): 221–30. http://dx.doi.org/10.1107/s160057671601983x.

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The analysis of wide-angle X-ray diffraction curves of semicrystalline polymers is connected with a thorough decomposition of these curves into crystalline peaks and amorphous components. A reliable and unambiguous decomposition is the most important step in calculation of the crystallinity of polymers. This work presents a new algorithm dedicated to this aim, which is based on the particle swarm optimization (PSO) method. The PSO method is one of the most effective optimization techniques that employs a random choice as a tool for going through the solution space and searching for the global solution. The action of the PSO algorithm imitates the behaviour of a bird flock or a fish school. In the system elaborated in this work the original PSO algorithm has been equipped with several heuristics. The role of heuristics is performed by procedures which orient the search of the solution space using additional information. In this paper it is shown that this algorithm is faster to converge and more efficiently performs a multi-criterial optimization compared with other algorithms used for this purpose to date.

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Bubakari, Joda, Abubakar Yahya Kabiru, and Abba Stephen Benjamin. "WIRELESS SENSOR NETWORK LOCALIZATION TECHNIQUES PERFORMANCE." Engineering and Technology Journal 08, no. 07 (2023): 2383–96. https://doi.org/10.5281/zenodo.8123091.

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A large number of inexpensive, small sensors make up a wireless sensor network. The collection and transmission of data is one of the crucial functions of a sensor network. In the greater part of the applications, it is of much interest to figure out the area of the information. Localization methods can be used to obtain this kind of information. Therefore, node localization is very important when using localization algorithms to determine the position of a node. As a result, WSN node localization emerges as one of the primary obstacles. The localization schemes can be broadly divided into two groups based on range measurements, such as: range based and range free plans. Range-based localization techniques cannot be used due to the sensing node's hardware limitations and high cost. Since coarse accuracy is sufficient for most sensor network applications, range-free schemes are being considered an alternative. The performances and accuracy of the range-free algorithms were tested with the application of MATLAB 2017a. The results demonstrated that the amorphous algorithm has the lowest localization error in most cases in comparison to the performance of these four algorithms. Likewise, results demonstrated amorphous, and DV-hop algorithms have 100% coverage rate in every situation that were tested.

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Garus, Sebastian. "The Influence of Heat Treatment on the Phononic Multilayer Sensor." Revista de Chimie 70, no. 10 (2019): 3671–73. http://dx.doi.org/10.37358/rc.19.10.7620.

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In the work, the transmission of aperiodic quasi one-dimensional sensor built of Zr55Cu30Ni5Al10 amorphous alloy was tested using the Transfer Matrix Method algorithm. Transmission peak shifts were analyzed depending on the temperature of the flowing liquid. The influence of annealing in the temperatures 693K and 773K of the amorphous alloy on the structure of the sensor transmission bands was analyzed. The existence of bands in the examined structures has been shown. The best phononic properties were found in the structure heated to 773 K.

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Kot, Maciej. "Mass Spring Models of Amorphous Solids." ChemEngineering 5, no. 1 (2021): 3. http://dx.doi.org/10.3390/chemengineering5010003.

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In this paper we analyse static properties of mass spring models (MSMs) with the focus of modelling non crystalline materials, and explore basic improvements, which can be made to MSMs with disordered point placement. Presented techniques address the problem of high variance of MSM properties which occur due to randomised nature of point distribution. The focus is placed on tuning spring parameters in a way which would compensate for local non-uniformity of point and spring density. We demonstrate that a simple force balancing algorithm can improve properties of the MSM on a global scale, while a more detailed stress distribution analysis is needed to achieve local scale improvements. Considered MSMs are three dimensional.

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Kot, Maciej. "Mass Spring Models of Amorphous Solids." ChemEngineering 5, no. 1 (2021): 3. http://dx.doi.org/10.3390/chemengineering5010003.

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In this paper we analyse static properties of mass spring models (MSMs) with the focus of modelling non crystalline materials, and explore basic improvements, which can be made to MSMs with disordered point placement. Presented techniques address the problem of high variance of MSM properties which occur due to randomised nature of point distribution. The focus is placed on tuning spring parameters in a way which would compensate for local non-uniformity of point and spring density. We demonstrate that a simple force balancing algorithm can improve properties of the MSM on a global scale, while a more detailed stress distribution analysis is needed to achieve local scale improvements. Considered MSMs are three dimensional.

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Belashchenko, D. K., M. I. Mendelev, and S. N. Ishmaev. "Computer simulation of a Ni65B35 amorphous alloy using the force algorithm." Journal of Non-Crystalline Solids 192-193 (December 1995): 623–26. http://dx.doi.org/10.1016/0022-3093(95)00418-1.

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Chen, Qianhuang, Tianyang Shao, and Yan Xing. "An Experiment-Based Profile Function for the Calculation of Damage Distribution in Bulk Silicon Induced by a Helium Focused Ion Beam Process." Sensors 20, no. 8 (2020): 2306. http://dx.doi.org/10.3390/s20082306.

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The helium focused ion beam (He-FIB) is widely used in the field of nanostructure fabrication due to its high resolution. Complicated forms of processing damage induced by He-FIB can be observed in substrates, and these damages have a severe impact on nanostructure processing. This study experimentally investigated the influence of the beam energy and ion dose of He-FIB on processing damage. Based on the experimental results, a prediction function for the amorphous damage profile of the single-crystalline silicon substrate caused by incident He-FIB was proposed, and a method for calculating the amorphous damage profile by inputting ion dose and beam energy was established. Based on one set of the amorphous damage profiles, the function coefficients were determined using a genetic algorithm. Experiments on single-crystalline silicon scanned by He-FIB under different process parameters were carried out to validate the model. The proposed experiment-based model can accurately predict the amorphous damage profile induced by He-FIB under a wide range of different ion doses and beam energies.

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Han, Yu, Gan Zhang, Fuyao Yang, Yaqiang Dong, Aina He, and Jianfei Cao. "XGBoost algorithm-assisted prediction of amorphous formability of Fe-based nanocrystalline precursor." Intermetallics 166 (March 2024): 108207. http://dx.doi.org/10.1016/j.intermet.2024.108207.

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Rabiej, Małgorzata. "A hybrid immune–evolutionary strategy algorithm for the analysis of the wide-angle X-ray diffraction curves of semicrystalline polymers." Journal of Applied Crystallography 47, no. 5 (2014): 1502–11. http://dx.doi.org/10.1107/s1600576714014782.

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Decomposition of wide-angle X-ray diffraction curves into crystalline peaks and amorphous components is one of the most difficult nonlinear optimization problems. For this reason, the elaboration of a reliable method that provides fast unambiguous solutions remains an important and topical task. This work presents a hybrid system dedicated to this aim, combining two methods of artificial intelligence – evolution strategies and an immune algorithm – with the classical method of Rosenbrock. A combination of the mechanisms of these three methods has given a very effective and convergent algorithm that performs very well a multicriterial optimization. Tests have shown that it is faster to converge and less ambiguous than the genetic algorithm.

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Lee, Hanbyul, Junghyun Kim, Suyeon Kim, Jimin Yoo, Guang J. Choi, and Young-Seob Jeong. "Deep Learning-Based Prediction of Physical Stability considering Class Imbalance for Amorphous Solid Dispersions." Journal of Chemistry 2022 (March 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/4148443.

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This research is aimed at predicting the physical stability for amorphous solid dispersion by utilizing deep learning methods. We propose a prediction model that effectively learns from a small dataset that is imbalanced in terms of class. In order to overcome the imbalance problem, our model performs a hybrid sampling which combines synthetic minority oversampling technique (SMOTE) algorithm with edited nearest neighbor (ENN) algorithm and reduces the dimensionality of the dataset using principal component analysis (PCA) algorithm during data preprocessing. After the preprocessing, it performs the learning process using a carefully designed neural network of simple but effective structure. Experimental results show that the proposed model has faster training convergence speed and better test performance compared to the existing DNN model. Furthermore, it significantly reduces the computational complexity of both training and test processes.

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Song, Ce, Zhao Liang Meng, Jin Yan Wang, Fang Yuan Hu, and Xi Gao Jian. "An Algorithm for Modeling the Covalent Triazine-Based Frameworks." Materials Science Forum 956 (June 2019): 212–17. http://dx.doi.org/10.4028/www.scientific.net/msf.956.212.

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An algorithm for generating the representative structures of covalent triazine-based frameworks (CTFs) is proposed, and examined by being applied to the framework synthesized by the trimerization of dicyanobenzene. The algorithm is validated by the comparison between the calculated and experimental results of the structural properties such as surface areas and pore size distributions, which shows acceptable consistency. Moreover, the presented modeling approach can be expected for more extensive use for other CTFs. Thus the simulated atomistic strucutures produced from the modeling method can improve the understanding for amorphous structures of the CTFs which have already been developed, as well as predict the theoretical model of new CTFs, and provide useful design strategies for the future experimental efforts.

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Rabiej, Małgorzata. "Application of immune and genetic algorithms to the identification of a polymer based on its X-ray diffraction curve." Journal of Applied Crystallography 46, no. 4 (2013): 1136–44. http://dx.doi.org/10.1107/s0021889813015987.

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This paper describes how a combination of two methods of artificial intelligence, an immune algorithm and a genetic algorithm, can be used to recognize a polymer by the shape of its X-ray diffraction curve. To this end, the hybrid algorithm uses a database which contains theoretical functions describing wide-angle X-ray diffraction curves of different polymers. These curves are compared by the algorithm with the experimental diffraction curve and the most similar are chosen. Such theoretical curves are kept in the immunological memory, and their parameters can be set as the starting ones in the optimization methods used for decomposition of the experimental curve into crystalline peaks and amorphous component. Using this algorithm, the preparation of the starting parameters is much easier and faster. Decomposition is the most important step in polymer crystallinity determination.

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Zaïri, Fahmi, Moussa Naït-Abdelaziz, Krzysztof Woznica, and Jean-Michel Gloaguen. "Elasto-viscoplastic constitutive equations for the description of glassy polymers behavior at constant strain rate." Journal of Engineering Materials and Technology 129, no. 1 (2006): 29–35. http://dx.doi.org/10.1115/1.2400256.

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In this study, a modelization of the viscoplastic behavior of amorphous polymers is proposed, from an approach originally developed for metal behavior at high temperature, in which state variable constitutive equations have been modified. A procedure for the identification of model parameters is developed through the use of experimental data from both uniaxial compressive tests extracted from the literature and uniaxial tensile tests performed in this study across a variety of strain rates. The numerical algorithm shows that the predictions of this model well describe qualitatively and quantitatively the intrinsic softening immediately after yielding and the subsequent progressive orientational hardening corresponding to the response of two polymers, amorphous polyethylene terephthalate and rubber toughened polymethyl methacrylate.

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Charleux, L., S. Gravier, M. Verdier, M. Fivel, and J. J. Blandin. "Indentation plasticity of amorphous and partially crystallized metallic glasses." Journal of Materials Research 22, no. 2 (2007): 525–32. http://dx.doi.org/10.1557/jmr.2007.0062.

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Plastic behavior at room temperature of amorphous, partially crystallized, and fully crystallized Zr41.25Ti13.75Cu12.5Ni10Be22.5 Vitreloy 1 samples was investigated using instrumented indentation. Residual imprints were imaged using atomic force microscopy (AFM). Young’s modulus and hardness were estimated using the contact area derived from AFM imaging. It has been shown that the postmortem area measurement is useful to take into account the pileup effect. Indentation experiments performed with a conical tip were associated with parametric two-dimensional axisymmetric finite element modeling using a pressure-sensitive yield criterion. A two-parameter reverse analysis algorithm was used to probe both yield stress and pressure angle. Results showed that the amorphous alloy exhibits a yield stress and pressure angle in good agreement with literature and compressive tests, and that crystallization affects the pressure angle.

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Xu, Yun, Lixia Chen, Wenzhang Guo, Chengjiang Shangguan, Jinxin Zuo, and Kaiwen He. "Optimal Design of Medium-Frequency Fe-Based Amorphous Transformer Based on Genetic Algorithm." IEEE Transactions on Plasma Science 46, no. 10 (2018): 3240–48. http://dx.doi.org/10.1109/tps.2018.2835151.

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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." Materials Science and Engineering 97 (January 1988): 545–47. http://dx.doi.org/10.1016/0025-5416(88)90112-7.

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Meca, Esteban, Andreas Münch, and Barbara Wagner. "Thin-film electrodes for high-capacity lithium-ion batteries: influence of phase transformations on stress." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 472, no. 2193 (2016): 20160093. http://dx.doi.org/10.1098/rspa.2016.0093.

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In this study, we revisit experiments by Sethuraman et al. (2010 J. Power Sources , 195 , 5062–5066. ( doi:10.1016/j.jpowsour.2010.02.013 )) on the stress evolution during the lithiation/delithiation cycle of a thin film of amorphous silicon. Based on recent work that show a two-phase process of lithiation of amorphous silicon, we formulate a phase-field model coupled to elasticity in the framework of Larché-Cahn. Using an adaptive nonlinear multigrid algorithm for the finite-volume discretization of this model, our two-dimensional numerical simulations show the formation of a sharp phase boundary between the lithiated and the amorphous silicon that continues to move as a front through the thin layer. We show that our model captures the non-monotone stress loading curve and rate dependence, as observed in recent experiments and connects characteristic features of the curve with the structure formation within the layer. We take advantage of the thin film geometry and study the corresponding one-dimensional model to establish the dependence on the material parameters and obtain a comprehensive picture of the behaviour of the system.

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YıImaz, D. E., C. Bulutay, and T. Çagın. "Atomistic Structure Simulation of Silicon Nanocrystals Driven with Suboxide Penalty Energies." Journal of Nanoscience and Nanotechnology 8, no. 2 (2008): 635–39. http://dx.doi.org/10.1166/jnn.2008.a117.

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The structural control of silicon nanocrystals embedded in amorphous oxide is currently an important technological problem. In this work, an approach is presented to simulate the structural behavior of silicon nanocrystals embedded in amorphous oxide matrix based on simple valence force fields as described by Keating-type potentials. After generating an amorphous silicon-rich-oxide, its evolution towards an embedded nanocrystal is driven by the oxygen diffusion process implemented in the form of a Metropolis algorithm based on the suboxide penalty energies. However, it is observed that such an approach cannot satisfactorily reproduce the shape of annealed nanocrystals. As a remedy, the asphericity and surface-to-volume minimization constraints are imposed. With the aid of such a multilevel approach, realistic-sized silicon nanocrystals can be simulated. Prediction for the nanocrystal size at a chosen oxygen molar fraction matches reasonably well with the experimental data when the interface region is also accounted. The necessity for additional shape constraints suggests the use of more involved force fields including long-range forces as well as accommodating different chemical environments such as the double bonds.

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Smirnov, Volodymyr, and Natalia Smirnova. "Adaptive Mobile Network with Amorphous Topology Node Controller Architecture." National Interagency Scientific and Technical Collection of Works. Design, Production and Exploitation of Agricultural Machines, no. 50 (2020): 219–29. http://dx.doi.org/10.32515/2414-3820.2020.50.219-229.

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The purpose of the article is to develop an adaptive wireless LAN architecture for the technological processes, robotic devices and other objects control. The article describes the wireless LAN architecture. The concept of a wireless LAN is described. The wireless network is adaptive, self-organizing, and able to operate autonomously. The presented wireless network node controller architecture is the basis for many objects and Smart home control system small systems without using MQTT servers. The nodes of the network nodes interaction is carried out using several transceivers. The use of multiple transceivers made it possible to distribute data traffic, configuration traffic, and control traffic over different channels, which made it possible to carry out information exchange at the same time. The protocol stack is minimized. The functionality of the host and the network object is completely separated. The topology of the mobile network is not deterministic, amorphous and changes when the network objects move in space. In this case, some connections are lost and others arise. The routing tables are constantly updated. The network in accordance with the laid down algorithm, is able to build the necessary topology and organize the necessary connections in order to complete the task with a many objects. The network is capable of building packet retransmission chains for remote network objects. Thus, the wireless network implementation at its low cost allows solving a certain range of tasks. The performer can be either a separate object associated with the operator through a many repeaters. In order to increase the efficiency of the formation of routing tables and minimize the cluster structures in a wireless network, it is advisable to use optimization algorithms based on set theory. The local wireless network is designed to control an Internet of Things objects, robotic objects and control systems for various technological processes.

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German, Evgenii I., and Shulun B. Thydypov. "Recognition of the Crystal Structure Clusters in Fast-Cooled Amorphous Medium." Solid State Phenomena 310 (September 2020): 140–44. http://dx.doi.org/10.4028/www.scientific.net/ssp.310.140.

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A series of computer experiments using the molecular dynamics method, imitating the processes of the argon particles system cooling at different cooling rates, was carried out. As a result of modeling, solid phases of varying degrees of order were obtained, a comparative analysis of structures was performed using the calculation of the radial distribution functions of particles and using the author’s algorithm for recognizing clusters of a crystal structure.

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Kim, Minsu, Jason Stoker, Jeffrey Irwin, Jeffrey Danielson, and Seonkyung Park. "Absolute Accuracy Assessment of Lidar Point Cloud Using Amorphous Objects." Remote Sensing 14, no. 19 (2022): 4767. http://dx.doi.org/10.3390/rs14194767.

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The accuracy assessment of airborne lidar point cloud typically estimates vertical accuracy by computing RMSEz (root mean square error of the z coordinate) from ground check points (GCPs). Due to the low point density of the airborne lidar point cloud, there is often not enough accurate semantic context to find an accurate conjugate point. To advance the accuracy assessment in full three-dimensional (3D) context, geometric features, such as the three-plane intersection point or two-line intersection point, are often used. Although the point density is still low, geometric features are mathematically modeled from many points. Thus, geometric features provide a robust determination of the intersection point, and the point is considered as a GCP. When no regular built objects are available, we describe the process of utilizing features of irregular shape called amorphous natural objects, such as a tree or a rock. When scanned to a high-density point cloud, an amorphous natural object can be used as ground truth reference data to estimate 3D georeferencing errors of the airborne lidar point cloud. The algorithm to estimate 3D accuracy is the optimization that minimizes the sum of the distance between the airborne lidar points to the ground scanned data. The search volume partitioning was the most important procedure to improve the computational efficiency. We also performed an extensive study to address the external uncertainty associated with the amorphous object method. We describe an accuracy assessment using amorphous objects (108 trees) spread over the project area. The accuracy results for ∆x, ∆y, and ∆z obtained using the amorphous object method were 3.1 cm, 3.6 cm, and 1.7 cm RMSE, along with a mean error of 0.1 cm, 0.1 cm, and 4.5 cm, respectively, satisfying the accuracy requirement of U.S. Geological Survey lidar base specification. This approach shows strong promise as an alternative to geometric feature methods when artificial targets are scarce. The relative convenience and advantages of using amorphous targets, along with its good performance shown here, make this amorphous object method a practical way to perform 3D accuracy assessment.

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Nowicki, Michał, Roman Szewczyk, Tomasz Charubin, Andriy Marusenkov, Anton Nosenko, and Vasyl Kyrylchuk. "Modeling the Hysteresis Loop of Ultra-High Permeability Amorphous Alloy for Space Applications." Materials 11, no. 11 (2018): 2079. http://dx.doi.org/10.3390/ma11112079.

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This paper presents investigation results regarding the Jiles-Atherton-based hysteresis loop modeling of ultra-high permeability amorphous alloy MELTA® MM-5Co. The measurement stand is capable of accurately measuring minor and major hysteresis loops for such a material together with exemplary measurement results. The main source of the measurement error is highlighted, which includes the Earth’s field influence. The results of hysteresis loop modeling with the original Jiles-Atherton model and with two of its modifications are given. In all cases, the parameters of the Jiles-Atherton model were identified in two-step identification on the basis of a differential evolution optimization algorithm. The results indicate that both the original and modified Jiles-Atherton models are suitable for modeling the ultra-soft amorphous alloy. However, the hysteresis model’s parameters vary significantly.

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Lean, Meng H., and Wei-Ping L. Chu. "Model for Charge Transport in Ferroelectric Nanocomposite Film." Journal of Polymers 2015 (March 23, 2015): 1–17. http://dx.doi.org/10.1155/2015/745056.

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This paper describes 3D particle-in-cell simulation of charge injection and transport through nanocomposite film comprised of ferroelectric ceramic nanofillers in an amorphous polymer matrix and/or semicrystalline ferroelectric polymer with varying degrees of crystallinity. The classical electrical double layer model for a monopolar core is extended to represent the nanofiller/nanocrystallite by replacing it with a dipolar core. Charge injection at the electrodes assumes metal-polymer Schottky emission at low to moderate fields and Fowler-Nordheim tunneling at high fields. Injected particles propagate via field-dependent Poole-Frenkel mobility. The simulation algorithm uses a boundary integral equation method for solution of the Poisson equation coupled with a second-order predictor-corrector scheme for robust time integration of the equations of motion. The stability criterion of the explicit algorithm conforms to the Courant-Friedrichs-Levy limit assuring robust and rapid convergence. Simulation results for BaTiO3 nanofiller in amorphous polymer matrix and semicrystalline PVDF with varying degrees of crystallinity indicate that charge transport behavior depends on nanoparticle polarization with antiparallel orientation showing the highest conduction and therefore the lowest level of charge trapping in the interaction zone. Charge attachment to nanofillers and nanocrystallites increases with vol% loading or degree of crystallinity and saturates at 30–40 vol% for the set of simulation parameters.

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Divya. "Graph Theoretical Representation, Analysis and Synthesis of Amorphous Metal Oxide Networks." MRS Advances 2, no. 48 (2017): 2639–44. http://dx.doi.org/10.1557/adv.2017.342.

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ABSTRACTWith the advent of amorphous oxide semiconductors (AOS) like amorphous indium gallium zinc oxide (a-IGZO), the analysis and prediction of amorphous structures has regained importance, more so, since first principles based studies are being increasingly employed to explain device behavior. Negative bias illumination stress in a-IGZO thin film transistors is one such example. However, the amorphous atomic structure is complex and defect or dopant studies require each site to be modeled independently and this leads to significant computational costs. Therefore, a simplification in the representation of the amorphous oxide network is effected so that it may lead to identifying similar atomic sites. The amorphous network is visualized as a network of polyhedra. The polyhedra has at its center a cation with the bonded oxygen atoms at the vertices and it comprises the short range interactions characterized by bond lengths and bond angles. Based on a first principles study of 10 a-IGZO models containing 36 cations each, it was found that the 360 polyhedra of the a-IGZO models can actually be described with only ten polyhedral motifs. These polyhedra are then connected to each other via a shared vertex or an edge; face-sharing was not observed in these models. Graph theory is used to map this network using either a graph of cationic polyhedra as the nodes or a bipartite graph (composed of cations and anions as individual nodes), each of which is described using the respective adjacency matrix. The second nearest interactions are characterized by the degree of each vertex and each atomic site is now characterized by a polyhedron and network metrics; and hence, can be compared with same-element sites. The changes in network itself, are quantified as the composition changes, when varying the ratio of In:Ga:Zn in a-IGZO. For example, the average vertex connectivity of a pair of indium sites reflects on the continuity of overlap between the In-5s orbitals which compose the conduction band minimum in a-IGZO, which, in turn, affects the transport properties of the semiconductor. Thus, the long range interactions of the physical amorphous network are described by the graph metrics. Moreover, evolutionary algorithm in conjunction with this graph theoretic representation can be used to generate new amorphous models. Two parent graph are chosen and then spliced and then bred. The new graph is then reverse-engineered to form an amorphous model which then undergoes ionic and volume relaxation in the framework of density functional theory. The resulting graph is the child and the new amorphous model, with the energy as the fitness criteria.

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Smirnov, Volodymyr, and Natalia Smirnova. "Adaptive Mobile Network With Amorphous Topology Node Controller Architecture." Central Ukrainian Scientific Bulletin. Technical Sciences, no. 3(34) (October 2020): 12–21. http://dx.doi.org/10.32515/2664-262x.2020.3(34).12-21.

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The purpose of the article is to develop an adaptive mobile network node architecture with an amorphous topology. The article describes the host controller architecture. The concept of a mobile network is described. The mobile network is adaptive, self-organizing, and able to operate autonomously. The presented mobile network node controller architecture is the object swarm control system basis. A stack of mobile network protocols is presented, consisting of a control protocol, a data exchange protocol and a configuration protocol. The nodes of the network controllers interaction is carried out using several transceivers. The use of multiple transceivers made it possible to distribute data traffic, configuration traffic, and management traffic over different channels, which made it possible to carry out information exchange at the same time. The protocol stack is minimized. The functionality of the host and the network object (swarm) is completely separated. The topology of the mobile network is not deterministic, amorphous and changes when the network objects move in space. In this case, some connections are lost and others arise. The routing tables are constantly updated. The network in accordance with the laid down algorithm, is able to build the necessary topology and organize the necessary connections in order to complete the task with a swarm of objects. The network is capable of building packet retransmission chains for remote network objects. Thus, the implementation of a mobile network at its low cost allows solving a certain range of problems. The performer can be either a separate object associated with the operator through a swarm of repeaters, or a swarm of objects. In order to increase the efficiency of the formation of routing tables and minimize the cluster structures in a mobile network, it is advisable to use optimization algorithms based on set theory. The mobile network is designed to control a swarm of objects, which can be UAVs, robotic objects and control systems for various technological processes.

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Rahemtulla, Aly, Bruno Tomberli, and Stefan Kycia. "Visualization of Self-sorted Local Atomic Motifs in disordered solids." MRS Advances 3, no. 39 (2018): 2353–58. http://dx.doi.org/10.1557/adv.2018.434.

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ABSTRACTThe structural descriptions of even the most basic amorphous materials are under considerable debate. In this work, an intuitive computational technique has been developed to construct 3D statistical density maps to directly visualize and identify local atomic structures from simple monatomic amorphous germanium (a-Ge) to complex multi-atom systems such as copper zirconium metallic glass. We show motifs in copper zirconium that are unresolvable through traditional tools such as Voronoi indexing. This self-sorted local atomic motif (SLAM) method builds upon the Kabsch algorithm incorporating techniques in computer vision to produce least-squares optimized 3D density maps. Simultaneously, the SLAM method incorporates self-contained categorization to define local motifs based upon atomic structures. We present the methodology of the SLAM method and also present resulting motifs comparing models a-Ge and demonstrate its broad capability on metallic glass.

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Jia, Wenyan, Yiqiu Ren, Boyang Li, et al. "A Novel Approach to Dining Bowl Reconstruction for Image-Based Food Volume Estimation." Sensors 22, no. 4 (2022): 1493. http://dx.doi.org/10.3390/s22041493.

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Knowing the amounts of energy and nutrients in an individual’s diet is important for maintaining health and preventing chronic diseases. As electronic and AI technologies advance rapidly, dietary assessment can now be performed using food images obtained from a smartphone or a wearable device. One of the challenges in this approach is to computationally measure the volume of food in a bowl from an image. This problem has not been studied systematically despite the bowl being the most utilized food container in many parts of the world, especially in Asia and Africa. In this paper, we present a new method to measure the size and shape of a bowl by adhering a paper ruler centrally across the bottom and sides of the bowl and then taking an image. When observed from the image, the distortions in the width of the paper ruler and the spacings between ruler markers completely encode the size and shape of the bowl. A computational algorithm is developed to reconstruct the three-dimensional bowl interior using the observed distortions. Our experiments using nine bowls, colored liquids, and amorphous foods demonstrate high accuracy of our method for food volume estimation involving round bowls as containers. A total of 228 images of amorphous foods were also used in a comparative experiment between our algorithm and an independent human estimator. The results showed that our algorithm overperformed the human estimator who utilized different types of reference information and two estimation methods, including direct volume estimation and indirect estimation through the fullness of the bowl.

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Hao, Yongchao, Zhe Xu, Shuai Du, et al. "Iterative Cup Overlapping: An Efficient Identification Algorithm for Cage Structures of Amorphous Phase Hydrates." Journal of Physical Chemistry B 125, no. 4 (2021): 1282–92. http://dx.doi.org/10.1021/acs.jpcb.0c08964.

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Areias, P., T. Rabczuk, M. F. Vaz, M. Sardinha, and M. Leite. "A consistent algorithm for finite-strain visco-hyperelasticity and visco-plasticity of amorphous polymers." Computer Methods in Applied Mechanics and Engineering 400 (October 2022): 115528. http://dx.doi.org/10.1016/j.cma.2022.115528.

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Ligatchev, V., S. F. Yoon, J. Ahn, Q. Zhang, and Rusli. "New regularization algorithm for DLTS data analysis in amorphous and polycrystalline insulators and semiconductors." Radiation Effects and Defects in Solids 154, no. 3-4 (2001): 261–65. http://dx.doi.org/10.1080/10420150108214063.

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Liu, Fen, and Quan Qian. "Cost-Sensitive Variational Autoencoding Classifier for Imbalanced Data Classification." Algorithms 15, no. 5 (2022): 139. http://dx.doi.org/10.3390/a15050139.

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Classification is among the core tasks in machine learning. Existing classification algorithms are typically based on the assumption of at least roughly balanced data classes. When performing tasks involving imbalanced data, such classifiers ignore the minority data in consideration of the overall accuracy. The performance of traditional classification algorithms based on the assumption of balanced data distribution is insufficient because the minority-class samples are often more important than others, such as positive samples, in disease diagnosis. In this study, we propose a cost-sensitive variational autoencoding classifier that combines data-level and algorithm-level methods to solve the problem of imbalanced data classification. Cost-sensitive factors are introduced to assign a high cost to the misclassification of minority data, which biases the classifier toward minority data. We also designed misclassification costs closely related to tasks by embedding domain knowledge. Experimental results show that the proposed method performed the classification of bulk amorphous materials well.

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Sun, Yanwen, Vincent Esposito, Philip Adam Hart, et al. "A Contrast Calibration Protocol for X-ray Speckle Visibility Spectroscopy." Applied Sciences 11, no. 21 (2021): 10041. http://dx.doi.org/10.3390/app112110041.

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X-ray free electron lasers, with their ultrashort highly coherent pulses, opened up the opportunity of probing ultrafast nano- and atomic-scale dynamics in amorphous and disordered material systems via speckle visibility spectroscopy. However, the anticipated count rate in a typical experiment is usually low. Therefore, visibility needs to be extracted via photon statistics analysis, i.e., by estimating the probabilities of multiple photons per pixel events using pixelated detectors. Considering the realistic X-ray detector responses including charge cloud sharing between pixels, pixel readout noise, and gain non-uniformity, speckle visibility extraction relying on photon assignment algorithms are often computationally demanding and suffer from systematic errors. In this paper, we present a systematic study of the commonly-used algorithms by applying them to an experimental data set containing small-angle coherent scattering with visibility levels ranging from below 1% to ∼60%. We also propose a contrast calibration protocol and show that a computationally lightweight algorithm can be implemented for high-speed correlation evaluation.

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Mithanga Kamau, Francis, Kennedy Ogada, and Cheruiyot Wilson Kipruto. "Analysis of Machine-Based Learning Algorithm Used in Named Entity Recognition." Informing Science: The International Journal of an Emerging Transdiscipline 26 (2023): 069–84. http://dx.doi.org/10.28945/5073.

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Aim/Purpose: The amount of information published has increased dramatically due to the information explosion. The issue of managing information as it expands at this rate lies in the development of information extraction technology that can turn unstructured data into organized data that is understandable and controllable by computers Background: The primary goal of named entity recognition (NER) is to extract named entities from amorphous materials and place them in pre-defined semantic classes. Methodology: In our work, we analyze various machine learning algorithms and implement K-NN which has been widely used in machine learning and remains one of the most popular methods to classify data. Contribution: To the researchers’ best knowledge, no published study has presented Named entity recognition for the Kikuyu language using a machine learning algorithm. This research will fill this gap by recognizing entities in the Kikuyu language. Findings: An evaluation was done by testing precision, recall, and F-measure. The experiment results demonstrate that using K-NN is effective in classification performance. Recommendation for Researchers: With enough training data, researchers could perform an experiment and check the learning curve with accuracy that compares to state of art NER. Future Research: Future studies may be done using unsupervised and semi-supervised learning algorithms for other resource-scarce languages.

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Bionducci, M., F. Buffa, G. Licheri, G. Navarra, B. Bouchet-Fabre, and J. M. Tonnerre. "Determination of the Partial Structure Factors of Amorphous CuZr by Anomalous X-Ray Scattering and Reverse Monte Carlo." Zeitschrift für Naturforschung A 51, no. 1-2 (1996): 71–82. http://dx.doi.org/10.1515/zna-1996-1-211.

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Abstract Anomalous X-ray Scattering experiments have been performed to study the local order in an amorphous CuZr sample prepared by mechanical alloying. The three partial structure factors were extracted both using a regularization algorithm to solve an ill-conditioned system of linear equations and applying the reverse Monte Carlo technique to the experimental data. Then the short range atomic distributions of similar samples prepared by different methods and investigated by different techniques are compared.

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Madhiarasan, Manoharan, Daniel T. Cotfas, and Petru A. Cotfas. "Black Widow Optimization Algorithm Used to Extract the Parameters of Photovoltaic Cells and Panels." Mathematics 11, no. 4 (2023): 967. http://dx.doi.org/10.3390/math11040967.

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The metaheuristic algorithms and their hybridization have been utilized successfully in the past to extract the parameters of photovoltaic (PV) cells and panels. The novelty of the paper consists of proposing the black widow optimization algorithm (BWOA) for the first time to identify the parameters of the two photovoltaic cells RTC France, amorphous silicon (aSi), and two photovoltaic panels PWP201, PVM 752 GaAs. The single-diode model (SDM) and double-diode model (DDM) for analyzing the PVs are considered. The performance of the BWOA is verified using four statistical tests: the root mean square error, which is the primary tool, the mean relative error, the mean bias error, and the coefficient of determination. The research results of this study are as follows: BWOA gave the same results, or very slightly better, for RTC and PWP201 for SDM in comparison with the best algorithms from the specialized literature; for all the other cases, BWOA has substantially better results, especially for PVM 752 GaAs, where the improvements in RMSE are: 16.5%, for PWP201: 6.25%, and for aSi: 5.3%, all for the DDM; the computing time is around 2 s, which is one of the lowest durations. A consistent study is made to optimize the accuracy and computational time in function of the number of iterations and population.

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Garus, Sebastian, and Michal Szota. "Band GAP Frequency Response in Regular Phononic Crystals." Revista de Chimie 69, no. 12 (2019): 3372–75. http://dx.doi.org/10.37358/rc.18.12.6752.

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The study investigated the propagation of a mechanical wave in a two-dimensional phononic structure. The influence of material from which metaatom rods were made on the phononical properties of the structure was investigated. Rods made of amorphous Zr55Cu30Ni5Al10 and polypropylenes were compared. The Finite Difference Time Domain (FDTD) algorithm was used to carry out the simulation. Next, theoretical and experimental analysis of the intensity of the mechanical wave was carried out. Frequency response of a regular phononic structure was also analyzed.

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Journal articles on the topic 'Amorphous Algorithm'

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