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Journal articles on the topic 'Algoritmo Moses'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Jiang, Zhenni, and Xiyu Liu. "A Novel Consensus Fuzzy K-Modes Clustering Using Coupling DNA-Chain-Hypergraph P System for Categorical Data." Processes 8, no. 10 (2020): 1326. http://dx.doi.org/10.3390/pr8101326.

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In this paper, a data clustering method named consensus fuzzy k-modes clustering is proposed to improve the performance of the clustering for the categorical data. At the same time, the coupling DNA-chain-hypergraph P system is constructed to realize the process of the clustering. This P system can prevent the clustering algorithm falling into the local optimum and realize the clustering process in implicit parallelism. The consensus fuzzy k-modes algorithm can combine the advantages of the fuzzy k-modes algorithm, weight fuzzy k-modes algorithm and genetic fuzzy k-modes algorithm. The fuzzy k

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Pulatov, B. "OPTIMIZATION OF MODES OF ELECTR POWER SYSTEMS BY GENETIC ALGOROTHMS." Technical science and innovation 2019, no. 3 (2019): 224–29. http://dx.doi.org/10.51346/tstu-01.19.3.-77-0030.

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In article discusses issues for solving optimization problems based on the use of genetic algorithms. To date, the genetic use algorithm for solving various problems. Which includes the shortest path search, approximation, data filtering and others. In particular, data is being examined regarding the use of a genetic algorithm to solve problems of optimizing the modes of electric power systems. Imagine an algorithm for developing the development of mathematical models, which includes developing the structure of the chromosome, creating a started population, creating a directing force for the p

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Pulatov, Behzod, and Shanazarov Alisher. "Optimization of modes of the electric power systems by genetic algorithms." E3S Web of Conferences 216 (2020): 01099. http://dx.doi.org/10.1051/e3sconf/202021601099.

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In article discusses issues for solving optimization problems based on the use of genetic algorithms. Nowadays, the genetic algorithms for solving various problems. This includes the shortest path search, approximation, data filtering and others. In particular, data is being examined regarding the use of a genetic algorithm to solve problems of optimizing the modes of electric power systems. Imagine an algorithm for developing the development of mathematical models, which includes developing the structure of the chromosome, creating a started population, creating a directing force for the popu

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Liu, Shuai, Zheng Chen, Huahui Zhou, et al. "DiaMole: Mole Detection and Segmentation Software for Mobile Phone Skin Images." Journal of Healthcare Engineering 2021 (June 2, 2021): 1–10. http://dx.doi.org/10.1155/2021/6698176.

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Motivation. The worldwide incidence and mortality rates of melanoma are on the rise recently. Melanoma may develop from benign lesions like skin moles. Easy-to-use mole detection software will help find the malignant skin lesions at the early stage. Results. This study developed mole detection and segmentation software DiaMole using mobile phone images. DiaMole utilized multiple deep learning algorithms for the object detection problem and mole segmentation problem. An object detection algorithm generated a rectangle tightly surrounding a mole in the mobile phone image. Moreover, the segmentat

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Zhou, Hongfang, Yihui Zhang, and Yibin Liu. "A Global-Relationship Dissimilarity Measure for thek-Modes Clustering Algorithm." Computational Intelligence and Neuroscience 2017 (2017): 1–7. http://dx.doi.org/10.1155/2017/3691316.

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Thek-modes clustering algorithm has been widely used to cluster categorical data. In this paper, we firstly analyzed thek-modes algorithm and its dissimilarity measure. Based on this, we then proposed a novel dissimilarity measure, which is named as GRD. GRD considers not only the relationships between the object and all cluster modes but also the differences of different attributes. Finally the experiments were made on four real data sets from UCI. And the corresponding results show that GRD achieves better performance than two existing dissimilarity measures used ink-modes and Cao’s algorith

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GRANADO-CRIADO, JOSE M., MIGUEL A. VEGA-RODRÍGUEZ, JOSE M. CHAVES-GONZALEZ, JUAN M. SANCHEZ-PEREZ, and JUAN A. GOMEZ-PULIDO. "LOW POWER CONSUMPTION SECURITY PLATFORM FOR INDUSTRIAL COMMUNICATIONS USING AN MPSOC." Journal of Circuits, Systems and Computers 22, no. 05 (2013): 1350029. http://dx.doi.org/10.1142/s0218126613500291.

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This work presents a novel security platform for industrial communications using a nine-MicroBlaze MPSoC. This platform has low power consumption and cost, therefore, it is very appropriate for embedded systems, where restrictions on cost and power consumption have to be fulfilled. This system uses the RSA asymmetric algorithm combined with the AES symmetric algorithm, which was developed using two encryption modes, ECB and CBC. In this way, the platform makes possible to combine different algorithms and modes in function of the necessities of speed and security required. Furthermore, due to t

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Hasler, Eva, Barry Haddow, and Philipp Koehn. "Margin Infused Relaxed Algorithm for Moses." Prague Bulletin of Mathematical Linguistics 96, no. 1 (2011): 69–78. http://dx.doi.org/10.2478/v10108-011-0012-3.

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Margin Infused Relaxed Algorithm for Moses We describe an open-source implementation of the Margin Infused Relaxed Algorithm (MIRA) for statistical machine translation (SMT). The implementation is part of the Moses toolkit and can be used as an alternative to standard minimum error rate training (MERT). A description of the implementation and its usage on core feature sets as well as large, sparse feature sets is given and we report experimental results comparing the performance of MIRA with MERT in terms of translation quality and stability.

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Gerald, Joshua, Kartika Suhada, and David Try Liputra. "Usulan Algoritma Penjadwalan Pengiriman Produk Di PT Ultra Jaya Milk Industry & Trading Company Tbk." Journal of Integrated System 2, no. 1 (2019): 1–20. http://dx.doi.org/10.28932/jis.v2i1.1594.

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Abstrak PT Ultra Jaya Milk Industry & Trading Company Tbk yang berlokasi di jalan Raya Cimareme 131, Padalarang Kab. Bandung Barat, merupakan perusahaan yang bergerak dibidang manufaktur minuman dalam kemasan. Permasalahan yang dihadapi perusahaan adalah keterlambatan tibanya produk di tangan konsumen. Hal tersebut menyebabkan timbulnya beberapa permasalahan, seperti: harus diperbaikinya kontrak kerjasama dengan pihak konsumen yang membutuhkan waktu cukup lama dan konsekuensi biaya yang ditimbulkan akibat perbaikan kontrak tersebut. Maka dari itu diusulkan algoritma penjadwalan

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Tejani, Ghanshyam G., Vimal J. Savsani, Vivek K. Patel, and Seyedali Mirjalili. "An improved heat transfer search algorithm for unconstrained optimization problems." Journal of Computational Design and Engineering 6, no. 1 (2018): 13–32. http://dx.doi.org/10.1016/j.jcde.2018.04.003.

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Abstract In this work, an improved heat transfer search (IHTS) algorithm is proposed by incorporating the effect of the simultaneous heat transfer modes and population regeneration in the basic HTS algorithm. The basic HTS algorithm considers only one of the modes of heat transfer (conduction, convection, and radiation) for each generation. In the proposed algorithms, however, the system molecules are considered as the search agents that interact with each other as well as with the surrounding to a state of the thermal equilibrium. Another improvement is the integration of a population regener

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Gayibov, Tulkin, Sherkhon Latipov, and Davron Abdurashidov. "Optimization of Electrical Networks Modes on Transformation Coefficients of Transformers." E3S Web of Conferences 216 (2020): 01095. http://dx.doi.org/10.1051/e3sconf/202021601095.

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Optimization of modes of electrical networks provides for the determination of rational values of reactive powers of controlled sources, voltages of reference nodes and transformation coefficients of adjustable loop transformers, at which the minimum costs associated with the production, transmission and distribution of electricity are ensured and all the specified operating and technological constraints are met. As a result of a lot of work performed by specialists from all over the world on the development of methods and algorithms for optimization the modes of electrical networks, at presen

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Ding, Man, Wei Sun, and Hanning Chen. "Multi-Working Modes Product-Color Planning Based on Evolutionary Algorithms and Swarm Intelligence." Mathematical Problems in Engineering 2010 (2010): 1–15. http://dx.doi.org/10.1155/2010/871301.

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In order to assist designer in color planning during product development, a novel synthesized evaluation method is presented to evaluate color-combination schemes of multi-working modes products (MMPs). The proposed evaluation method considers color-combination images in different working modes as evaluating attributes, to which the corresponding weights are assigned for synthesized evaluation. Then a mathematical model is developed to search for optimal color-combination schemes of MMP based on the proposed evaluation method and two powerful search techniques known as Evolution Algorithms (EA

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Tejani, Ghanshyam, Vimal Savsani, and Vivek Patel. "Modified Sub-Population Based Heat Transfer Search Algorithm for Structural Optimization." International Journal of Applied Metaheuristic Computing 8, no. 3 (2017): 1–23. http://dx.doi.org/10.4018/ijamc.2017070101.

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In this study, a modified heat transfer search (MHTS) algorithm is proposed by incorporating sub-population based simultaneous heat transfer modes viz. conduction, convection, and radiation in the basic HTS algorithm. However, the basic HTS algorithm considers only one of the modes of heat transfer for each generation. The multiple natural frequency constraints in truss optimization problems can improve the dynamic behavior of the structure and prevent undesirable vibrations. However, shape and size variables subjected to frequency constraints are difficult to handle due to the complexity of i

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Faroqi, Hamed, and Mohammad saadi Mesgari. "Performance Comparison between the Multi-Colony and Multi-Pheromone ACO Algorithms for Solving the Multi-objective Routing Problem in a Public Transportation Network." Journal of Navigation 69, no. 1 (2015): 197–210. http://dx.doi.org/10.1017/s0373463315000594.

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Routing in a multimodal urban public transportation network, according to the user's preferences, can be considered as a multi-objective optimisation problem. Solving this problem is a complicated task due to the different and incompatible objective functions, various modes in the network, and the large size of the network. In this research, two optimisation algorithms are considered for solving this problem. The multi-colony and multi-pheromone Ant Colony Optimisation (ACO) algorithms are two different modes of the Multi-Objective ACO (MOACO) algorithm. Moreover, according to the acquired inf

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Frik, Anton, Dovydas Rimdžius, and Tomas Kropas. "EKSPERIMENTINIO ŠILUMOS SIURBLIO CIKLO VALDYMO ALGORITMO PAIEŠKA / EXPERIMENTAL STUDY OF THE HEAT PUMP CYCLE CONTROL ALGORITHM SEARCH." Mokslas - Lietuvos ateitis 11 (October 10, 2019): 1–5. http://dx.doi.org/10.3846/mla.2019.10583.

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This paper analyzes an experimental heat pump used for heat recovery in a mechanical room ventilation system. The aim of the work is to examine the operation, control logic of the heat pump and evaluate the possibilities of its operation modes, cycle control by outdoor air temperature. A review of scientific literature and experimental tests of the heat pump were performed to achieve this goal. Tests were performed in three stages, after each stage, according to the results obtained the heat pump stand was improved and experimental modes were adjusted. During the experiment, the tendencies of

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Balli, Serkan, and Faruk Sen. "Performance evaluation of artificial neural networks for identification of failure modes in composite plates." Materials Testing 63, no. 6 (2021): 565–70. http://dx.doi.org/10.1515/mt-2020-0094.

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Abstract The aim of this work is to identify failure modes of double pinned sandwich composite plates by using artificial neural networks learning algorithms and then analyze their accuracies for identification. Mechanically pinned specimens with two serial pins/bolts for sandwich composite plates were used for recognition of failure modes which were obtained in previous experimental studies. In addition, the empirical data of the preceding work was determined with various geometric parameters for various applied preload moments. In this study, these geometric parameters and fastened/bolted jo

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Chandra Yadav, Subhash, Pradeep Juneja, and R. G. Varshney. "Optimization of Resource Utilization of Fast Fourier Transform." International Journal of Reconfigurable and Embedded Systems (IJRES) 6, no. 3 (2018): 186. http://dx.doi.org/10.11591/ijres.v6.i3.pp186-190.

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<span style="font-size: 9pt; font-family: 'Times New Roman', serif;" lang="EN-IN">This paper considers the optimization of resource utilization for three FFT algorithms, as it pertains not to the input samples or output modes, but to the <em>twiddle factors </em>that arise in Cooley-Tukey FFT algorithms. Twiddle factors are a set of complex roots of unity, fixed by the transform order for the particular algorithm. This paper shows the comparison between three known FFT algorithms, DIT-FFT, DIF-FFT and G<sup>T</sup> algorithm. All these algorithms are implemented o

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Park, In-Kyoo. "A Big Data Analysis by Between-Cluster Information using k-Modes Clustering Algorithm." Journal of Digital Convergence 13, no. 11 (2015): 157–64. http://dx.doi.org/10.14400/jdc.2015.13.11.157.

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Li, Zhonghao, Laijin Meng, Xinghao Jiang, and Zhaohong Li. "High Capacity HEVC Video Hiding Algorithm Based on EMD Coded PU Partition Modes." Symmetry 11, no. 8 (2019): 1015. http://dx.doi.org/10.3390/sym11081015.

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Data hiding in videos has been a big concern as their rich redundancy can be used for embedding a lot of secret information. Further, as high efficiency video coding (HEVC) introduces many innovative technologies compared with the previous standard, H.264, it has gradually become the mainstream. Therefore, it is valuable to develop new information hiding algorithms by using novel features of HEVC. A HEVC video data hiding algorithm based on prediction unit (PU) partition modes from inter prediction process is proposed in this paper. Firstly, code units (CUs) in two sizes of 8 × 8 and 16 × 16 a

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Wei, Feng Mei, Jian Pei Zhang, Bing Li, and Jing Yang. "Multi-CPU Parallel Computing System with Mixed Modes." Advanced Materials Research 915-916 (April 2014): 1175–80. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.1175.

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Multi-CPU[1] parallel computing system [2] with mixed modes is the product of parallel computing idea. Control system cannot guarantee real-time control performance due to limitation of computing speed while utilizing complex control algorithms, so operating efficiency of the system needs to be solved. High-speed computing [3] system is needed. Parallel algorithm [4][5] is an effective way to improve computing speed. Mixed-mode parallel computing system is a hardware platform with multiple parallel computing modes. Users can directly change the connecting mode between computing modules through

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Hussain, Ali Nasser, Waleed Khalid Shakir Al-Jubori, and Haider Fathi Kadom. "Hybrid Design of Optimal Capacitor Placement and Reconfiguration for Performance Improvement in a Radial Distribution System." Journal of Engineering 2019 (December 31, 2019): 1–15. http://dx.doi.org/10.1155/2019/1696347.

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Distribution System Reconfiguration (DSR) and Optimal Capacitor Placement (OCP) are the most alternative techniques for increasing the power system generation and covering the growth of power demands. These techniques reduce the Radial Distribution System (RDS) losses and enhance the voltage profile. Combining both techniques gives better performance than using the individual technique. In this paper, two operation modes were implemented. First, the individual mode of OCP is applied. Second, the dual mode of DSR after OCP process is applied. Multiobjective functions with considering the weight

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Du, Xiaoqiong, Dixiong Yang, Jilei Zhou, Xiaoliang Yan, Yongliang Zhao, and Shi Li. "New Explicit Integration Algorithms with Controllable Numerical Dissipation for Structural Dynamics." International Journal of Structural Stability and Dynamics 18, no. 03 (2018): 1850044. http://dx.doi.org/10.1142/s021945541850044x.

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This paper presents a new family of explicit time integration algorithms with controllable numerical dissipation for structural dynamic problems by utilizing the discrete control theory. Firstly, the equilibrium equation of the implicit Yu-[Formula: see text] algorithm is adopted, and the recursive formulas of velocity and displacement for the explicit CR algorithm are used in the algorithms. Then, the transfer function and characteristic equation of the algorithms with integration coefficients are obtained by the [Formula: see text] transformation. Furthermore, their integration coefficients

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Xin, Xiaoshuai, Wenjian Zhang, Chao Shen, and Hong Zheng. "Control strategy of four-wheel independent drive electric vehicle based on vehicle velocity estimation and switchover." Transactions of the Institute of Measurement and Control 39, no. 7 (2016): 965–75. http://dx.doi.org/10.1177/0142331215625767.

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The four-wheel independent drive electric vehicle (4WID EV) has some advantages, such as independent control of torque, easy measurement of torque, and multiple drive modes, the most significant of which are four-wheel drive and two-wheel drive modes. However, there is a problem with the switched drive mode, which would have an adverse effect on the precision of vehicle velocity estimation, the vehicle stability and comfort. In order to solve the problem, a control strategy with a switched drive mode is proposed. The control strategy is based on two vehicle velocity estimation algorithms. Betw

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Gayibov, Tulkin, and Behzod Pulatov. "Taking into account the constraints in power system mode optimization by genetic algorithms." E3S Web of Conferences 264 (2021): 04045. http://dx.doi.org/10.1051/e3sconf/202126404045.

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Over the past decades, many publications on the use of genetic algorithms, which offer a new and powerful approach for solving the problem of power system mode optimization, have appeared. Despite this, the issues of effectively taking into account various constraints when solving such problems with genetic algorithms remain opened. In this regard, this article proposes an algorithm for optimizing power system modes by genetic algorithm, taking into account functional constraints in the form of equalities and inequalities by various penalty functions. The results of effectiveness research of t

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Eftekhari, Armin, Raphael A. Hauser, and Andreas Grammenos. "MOSES: A Streaming Algorithm for Linear Dimensionality Reduction." IEEE Transactions on Pattern Analysis and Machine Intelligence 42, no. 11 (2020): 2901–11. http://dx.doi.org/10.1109/tpami.2019.2919597.

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LI, Ren-kan, and Dong-yi YE. "Rough K-Modes clustering algorithm." Journal of Computer Applications 31, no. 1 (2011): 97–100. http://dx.doi.org/10.3724/sp.j.1087.2011.00097.

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Maciel, Diêgo B. M., Getulio J. A. Amaral, Renata M. C. R. de Souza, and Bruno A. Pimentel. "Multivariate fuzzy k-modes algorithm." Pattern Analysis and Applications 20, no. 1 (2015): 59–71. http://dx.doi.org/10.1007/s10044-015-0465-3.

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Yang, Ximin, Deqiang Wang, Wei Feng, Jingjing Wu, and Wan Tang. "Cryptographic Algorithm Invocation Based on Software-Defined Everything in IPsec." Wireless Communications and Mobile Computing 2018 (July 2, 2018): 1–11. http://dx.doi.org/10.1155/2018/8728424.

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IPsec was initially developed for IPv6 to ensure the communication security. With the development of Internet of Things (IoT) and the mounting importance of network security, increasing numbers of applications require IPsec to support the customized definition of cryptographic algorithms and to provide flexible invocation of these algorithms. To address this issue, an invocation mechanism for cryptographic algorithms is proposed in this paper and applied to IPsec, entitled Free to Add (FTA), based on the concept of software-defined everything. Using the idea of interface opening, the addition

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Ouyang, Shuo, Jianzhong Zhou, Hui Qin, Xiang Liao, and Hao Wang. "A novel multi-objective electromagnetism-like mechanism algorithm with applications in reservoir flood control operation." Water Science and Technology 69, no. 6 (2013): 1181–90. http://dx.doi.org/10.2166/wst.2013.812.

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Reservoir flood control operation (RFCO) is a complex problem that involves various constraints and purposes, which include the safety of the dam, watershed flood control and navigation. These objectives often conflict with each other. Thus, traditional methods have difficulty in solving the multi-objective problem efficiently. In this paper, a multi-objective self-adaptive electromagnetism-like mechanism (MOSEM) algorithm is introduced in the local searching operation of the proposed method. To enhance the optimization ability of EM, a self-adaptive parameter is applied in the local search op

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Gu, Zhi Ru, Da Wei Liu, Hong Li Liu, and Kun Xu. "Improved Baseband Mapping Method for G3 OFDM Technology." Applied Mechanics and Materials 385-386 (August 2013): 1318–21. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.1318.

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G3-PLC, an orthogonal frequency division multiplexing (OFDM) power line communication solution, has recently gained a lot of attention. It supports the application of four types of baseband mapping modes in different environments. These modes typically require a hard-decision demodulation, which will lead to nearly 3dB preference loss. In this paper, we propose an improvement scheme for the baseband mapping modes by changing the constellation encoding method. The optimal soft decision algorithm which makes use of log likelihood ratio (LLR) of the probabilities is used in the demodulators. Simu

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Breuleux, Olivier, Yoshua Bengio, and Pascal Vincent. "Quickly Generating Representative Samples from an RBM-Derived Process." Neural Computation 23, no. 8 (2011): 2058–73. http://dx.doi.org/10.1162/neco_a_00158.

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Two recently proposed learning algorithms, herding and fast persistent contrastive divergence (FPCD), share the following interesting characteristic: they exploit changes in the model parameters while sampling in order to escape modes and mix better during the sampling process that is part of the learning algorithm. We justify such approaches as ways to escape modes while keeping approximately the same asymptotic distribution of the Markov chain. In that spirit, we extend FPCD using an idea borrowed from Herding in order to obtain a pure sampling algorithm, which we call the rates-FPCD sampler

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Zou, Xiang, Kai Li, and Bing Pan. "The Effect of Low-pass Pre-filtering on Subvoxel Registration Algorithms in Digital Volume Correlation: A revisited study." Measurement Science Review 20, no. 5 (2020): 202–9. http://dx.doi.org/10.2478/msr-2020-0025.

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AbstractIn digital volume correlation (DVC), random image noise in volumetric images leads to increased systematic error and random error in the displacements measured by subvoxel registration algorithms. Previous studies in DIC have shown that adopting low-pass pre-filtering to the images prior to the correlation analysis can effectively mitigate the systematic error associated with the classical forward additive Newton-Raphson (FA-NR) algorithm. However, the effect of low-pass pre-filtering on the state-of-the-art inverse compositional Gauss-Newton (ICGN) algorithm has not been investigated

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BOAST, CHARLES W., and PHILIPPE BAVEYE. "ALLEVIATION OF AN INDETERMINACY PROBLEM AFFECTING TWO CLASSICAL ITERATIVE IMAGE THRESHOLDING ALGORITHMS." International Journal of Pattern Recognition and Artificial Intelligence 20, no. 01 (2006): 1–14. http://dx.doi.org/10.1142/s021800140600448x.

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Thresholding algorithms are being increasingly used in a wide variety of disciplines to objectively discern patterns and objects in micrographs, still pictures or remotely-sensed images. Our experience has shown that three common thresholding algorithms exhibit indeterminacy, in that different operator inputs may lead to very different pattern characterizations. A grayscale image of a soil profile is used to illustrate this phenomemon in the case of the intermeans (IM), minimum error (ME), and Besag's iterated conditional modes (ICM) algorithms. For the illustrative example, the IM algorithm d

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Shuravin, A. P., and S. V. Vologdin. "Comparison of the characteristics of the genetic algorithm and the method of coordinates search for optimization of temperature modes indoor areas." Information Technology and Nanotechnology, no. 2416 (2019): 260–70. http://dx.doi.org/10.18287/1613-0073-2019-2416-260-270.

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The article substantiates the relevance of optimization algorithms research for solving various applied problems and for the science of artificial intelligence. The need to solve problems of optimizing the thermal-hydraulic modes of buildings (as part of the project "Smart City") is explained. The paper presents a mathematical formulation of the problem of optimizing the temperature mode of rooms using adjustable devices. Existing work provides two methods for solving the posed problem. They are the coordinates search method and the genetic algorithm. The article contains the description of th

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Hryshchenko, V. O. "Modeling and calculation power saving modes grain drying materials under energy fields." Naukovij žurnal «Tehnìka ta energetika» 11, no. 3 (2020): 23–29. http://dx.doi.org/10.31548/machenergy2020.03.023.

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Storing grain quality materials in post harvest handling and storage is largely dependent on correctly implemented the drying process. In agricultural production mainly use costly convection dryer. The main share of wasteful energy consumption accounts for heat drying agent, some heat is lost to the environment through the working surface of the dryers and spent coolant. Ways to reduce these energy costs is to reduce the amount of drying agent in the process to the level necessary to absorb and remove moisture from the dryer and the working volume of the principles of targeted "delivery" of en

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Liang, Xiaoyun, Zhaohong Li, Zhonghao Li, and Zhenzhen Zhang. "Fake Bitrate Detection of HEVC Videos Based on Prediction Process." Symmetry 11, no. 7 (2019): 918. http://dx.doi.org/10.3390/sym11070918.

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In order to defraud click-through rate, some merchants recompress the low-bitrate video to a high-bitrate one without improving the video quality. This behavior deceives viewers and wastes network resources. Therefore, a stable algorithm that detects fake bitrate videos is urgently needed. High-Efficiency Video Coding (HEVC) is a worldwide popular video coding standard. Hence, in this paper, a robust algorithm is proposed to detect HEVC fake bitrate videos. Firstly, five effective feature sets are extracted from the prediction process of HEVC, including Coding Unit of I-picture/P-picture parti

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Gayibov, Tulkin, Kamal Reymov, and Arislan Aytbaev. "Mathematical model of the problem of accounting for losses in electrical networks when optimizing the loads of electrical consumers." E3S Web of Conferences 289 (2021): 07024. http://dx.doi.org/10.1051/e3sconf/202128907024.

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Based on the improvement of existing algorithms, an effective algorithm and program for taking into account the network factor have been developed for optimal planning of short-term modes of power systems with control of the load of power consumers, based on the restructuring of the dependences of the relative gains of losses on the power of nodes with settlement stations and regulated power consumers. As a result, it is possible to determine the optimal short-term modes of power systems, taking into account the network factor in terms of load management of power consumers.

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Han, Bing, Shuang Ren, and Jingjing Bao. "Mixed Logit Model Based on Improved Nonlinear Utility Functions: A Market Shares Solution Method of Different Railway Traffic Modes." Sustainability 12, no. 4 (2020): 1406. http://dx.doi.org/10.3390/su12041406.

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In recent years, with the development of high-speed railway in China, the railway operating mileages and passenger transport capacity have increased rapidly. Due to the high density of trains and the limited capacity of railways, it is necessary to solve market shares of different railway traffic modes in order to adjust the operation plans appropriately and run railway passenger transport products in line with passenger demand. Therefore, the purpose of this paper is to calculate market shares by formulating a mixed logit model based on improved nonlinear utility functions taking different fa

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Liao, Li, Jianfeng Li, and Yaohua Wu. "Modeling and Optimization of Inventory-Distribution Routing Problem for Agriculture Products Supply Chain." Discrete Dynamics in Nature and Society 2013 (2013): 1–12. http://dx.doi.org/10.1155/2013/409869.

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Mathematical models of inventory-distribution routing problem for two-echelon agriculture products distribution network are established, which are based on two management modes, franchise chain and regular chain, one-to-many, interval periodic order, demand depending on inventory, deteriorating treatment cost of agriculture products, start-up costs of vehicles and so forth. Then, a heuristic adaptive genetic algorithm is presented for the model of franchise chain. For the regular chain model, a two-layer genetic algorithm based on oddment modification is proposed, in which the upper layer is t

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Lim, Kyungmin, Jaeho Lee, Seongwan Kim, Daehyun Pak, and Sangyoun Lee. "Intra Prediction Algorithm Using Adaptive Modes." Journal of Korea Information and Communications Society 38A, no. 6 (2013): 492–503. http://dx.doi.org/10.7840/kics.2013.38a.6.492.

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Mastrogiannis, N., I. Giannikos, B. Boutsinas, and G. Antzoulatos. "CL.E.KMODES: a modifiedk-modes clustering algorithm." Journal of the Operational Research Society 60, no. 8 (2009): 1085–95. http://dx.doi.org/10.1057/jors.2009.25.

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Joshi, Jay M., Kiran R. Parmar, and Upena D. Dalal. "Design and Implementation of KASUMI Algorithm in ISMACryp Encryption for Video Content Protection in DVB-H Application." Advanced Materials Research 403-408 (November 2011): 3847–53. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.3847.

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Three technologies can be used for content protection in DVB-H; IPSec, SRTP and ISMACryp. ISMA Encryption and Authentication is one of the three chosen technologies for service protection in DVB-H (Digital Video Broadcasting - Handheld), the TV system for portable handheld devices. This paper deals with modification in ISMACryp. The ISMACryp is encoded with MPEG-4 video and MPEG-4 AAC (advanced audio coding), while leaving all structural data as it is. Two modes of ISMACryp are available; the CTR mode (Counter type) and CBC mode (Cipher Block Chaining) mode. Both modes of ISMACryp is based on

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Yang, B., C. S. Suh, and A. K. Chan. "Characterization and Detection of Crack-induced Rotary Instability." Journal of Vibration and Acoustics 124, no. 1 (2001): 40–48. http://dx.doi.org/10.1115/1.1421053.

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System instability and chaotic response are the failure modes that could significantly impact the reliability and operating safety of high-speed rotor-dynamical machines. Initiation and propagation of surface cracks in rotary shafts are common causes for such failure modes. To be able to detect the onset and progression of these faults will considerably extend the lifetime and improve the reliability of the mechanical system. A wavelet-based algorithm effective in identifying mechanical chaotic response has been applied to determine the nonlinear dynamical characteristics of a model-based, cra

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Kim, Injoong, Raghuram V. Pucha, Russell S. Peak, and Suresh K. Sitaraman. "Development of Reliability Allocation and Assessment Algorithms for Designing Multilevel Microelectronic Systems." Journal of Microelectronics and Electronic Packaging 5, no. 1 (2008): 12–25. http://dx.doi.org/10.4071/1551-4897-5.1.12.

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Design-for-reliability of complex systems involves top-down reliability allocation approaches, reliability prediction of both random and wear-out failures, and bottom-up reliability assessment approaches to provide more insight into the system-level reliability. Designing complex microelectronic systems, while considering reliability in the early design stages, is a challenge because these systems have multilevel structure and logical groups, and numerous components are associated with failure modes and mechanisms. To address these difficulties and to design reliable systems in a systematic wa

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Han, Jianchao, and Mohsen Beheshti. "An Iterative Approach for Fuzzy Clustering Based on Feature Significance." Journal of Advanced Computational Intelligence and Intelligent Informatics 11, no. 10 (2007): 1204–8. http://dx.doi.org/10.20965/jaciii.2007.p1204.

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Clustering is a technique to group a set of unsupervised data based on the conceptual clustering principle: maximizing the intraclass similarity and minimizing the interclass similarity. Existing clustering approaches concentrate in the different data types and assume that all features play the same role in algorithm validations. However, some features may be more significant than others in forming clusters. In this paper, we consider the feature significance and include it in the clustering algorithms. An iterative approach for fuzzy clustering based on the feature significance is presented a

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Lewandowski, J. L. V. "Optimized loading for particle-in-cell gyrokinetic simulations." Canadian Journal of Physics 82, no. 8 (2004): 609–22. http://dx.doi.org/10.1139/p04-034.

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The problem of particle loading in particle-in-cell gyrokinetic simulations is addressed using a quadratic optimization algorithm. Optimized loading in configuration space dramatically reduces the short-wavelength modes in the electrostatic potential that are partly responsible for the nonconservation of total energy; further, the long-wavelength modes are resolved with good accuracy. As a result, the conservation of energy for the optimized loading is much better that the conservation of energy for the random loading. The method is valid for any geometry and can be coupled to optimization alg

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Hong, Wei, Zonglu Xu, Wen Liu, Linhai Wu, and Xujin Pu. "Queuing theory-based optimization research on the multi-objective transportation problem of fourth party logistics." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 235, no. 8 (2021): 1327–37. http://dx.doi.org/10.1177/0954405420969266.

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Fourth party logistics is an urgent need for economic and social development, and its research focuses on path optimization. Comprehensively considering the choice of third party logistics suppliers, routes, and transportation modes, this study proposes a multi-objective transportation optimization model based on queuing theory, which minimizes cost, time, and carbon emissions. In addition, to solve the problems of infeasible solutions in fourth party logistics route optimization (4plrp), a priority-random based strengthen elitist genetic algorithm is proposed. Experiments show that the algori

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Gayibov, Tulkin. "Algorithm for optimization of power system short-term mode in conditions of partial uncertainty of initial information taking into account the frequency change." E3S Web of Conferences 216 (2020): 01100. http://dx.doi.org/10.1051/e3sconf/202021601100.

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Many existing methods and algorithms for optimization of short-term modes of power systems provide in calculations the introduction of a slack bus station, which ensures the balance of active power and, accordingly, the permissible frequency. In cases where the real load deviates from the planned one, determined by forecasting, the power system mode may turn out to be not optimal, and sometimes even not acceptable. This factor is especially noticeable in conditions of partial uncertainty of initial information about loads of nodes. To overcome this problem, planning of power system mode should

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Juliandri, M. Zarlis, and Z. Situmorang. "The Expansion of Initial Point Algorithm for K-Modes Algorithm." Journal of Physics: Conference Series 930 (December 2017): 012027. http://dx.doi.org/10.1088/1742-6596/930/1/012027.

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Sanchez, Zaid, Alicia Alva, Mirko Zimic, and Christian del Carpio. "An algorithm for characterizing skin moles using image processing and machine learning." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3539. http://dx.doi.org/10.11591/ijece.v11i4.pp3539-3550.

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<a name="_Hlk65806330"></a><span>Melanoma, the most serious type of skin cancer, forms in cells (melanocytes) that produce melanin, the pigment that gives color to the skin. There are low-income regions that lack specialized dermatologists, causing skin cancer to be diagnosed in advanced stages. In Peru, in high Andean communities with low resources, the problem is aggravated by the high incidence of ultraviolet radiation and lack of medical resources to make the diagnosis. Normally, mole images are obtained from dermatoscopes. The present work seeks to use mole images obtain

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Yakrangi, Oz, Roque J. Saltarén Pazmiño, Juan S. Cely, et al. "An Intelligent Algorithm for Decision Making System and Control of the GEMMA Guide Paradigm Using the Fuzzy Petri Nets Approach." Electronics 10, no. 4 (2021): 489. http://dx.doi.org/10.3390/electronics10040489.

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The aim of this article is to present the fuzzy Petri net algorithm and its implementation on the Guide d’etude des modes de marche et d’arrêt (GEMMA) guide paradigm. Additionally, this article presents a brief description of the GEMMA guide paradigm, the fuzzy logic approach, the Petri nets theory, and fuzzy Petri nets. Each algorithm is intended for a specific set of transitions, depending on their essential conditions. All these algorithms generate intelligent and safe control of the GEMMA guide paradigm in order to have the best control system for the machine. Moreover, the algorithms are

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