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Franco Bagnoli and Michele Baia
We explore several aspects of replica synchronization with the goal of retrieving the values of parameters applied to the Lorenz system. The idea is to establish a computer replica (slave) of a natural system (master, simulated in this paper), and exploi...
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Chun-Te Lee, Liang-Bi Chen, Huan-Mei Chu, Che-Jen Hsieh and Wei-Chieh Liang
The proposed IoT-based Master-Slave regionalized intelligent LED-light-controlling system can be applied to LED lights installed in buildings, communities, factories, warehouses, and other large-scale public zones where people and vehicles will pass by f...
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Oscar Danilo Montoya, Alexander Molina-Cabrera, Luis Fernando Grisales-Noreña, Ricardo Alberto Hincapié and Mauricio Granada
This paper addresses the phase-balancing problem in three-phase power grids with the radial configuration from the perspective of master?slave optimization. The master stage corresponds to an improved version of the Chu and Beasley genetic algorithm, whi...
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Peng Guan, Yanting Ai, Chengwei Fei and Yudong Yao
The aim of this paper was to develop a master?slave model with fluid-thermo-structure (FTS) interaction for the thermal fatigue life prediction of a thermal barrier coat (TBC) in a nozzle guide vane (NGV). The master?slave model integrates the phenomenol...
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Javier Andrés Mora-Burbano, Cristian David Fonseca-Díaz and Oscar Danilo Montoya
This paper deals with the problem regarding the optimal placement and sizing of distribution static compensators (D-STATCOMs) in radial and meshed distribution networks. These grids consider industrial, residential, and commercial loads within a daily op...
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Eduardo Juarez-Mendoza, Francisco Asahel del Angel-Diaz, Alejandro Diaz-Sanchez and Esteban Tlelo-Cuautle
This manuscript shows the CMOS design of Lorenz systems using operational transconductance amplifiers (OTAs). Two Lorenz systems are then synchronized in a master?slave topology and used to implement a CMOS secure communication system. The contribution i...
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Oscar Danilo Montoya, Luis Fernando Grisales-Noreña and Carlos Andres Ramos-Paja
The problem of optimal siting and dimensioning of photovoltaic (PV) generators in medium-voltage distribution networks is addressed in this research from the perspective of combinatorial optimization. The exact mixed-integer programming (MINLP) model is ...
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Oscar Danilo Montoya, Walter Gil-González and Luis Fernando Grisales-Noreña
This paper focuses on minimizing the annual operative costs in monopolar DC distribution networks with the inclusion of solar photovoltaic (PV) generators while considering a planning period of 20 years. This problem is formulated through a mixed-integer...
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Ranzhen Ren, Lichuan Zhang, Lu Liu, Dongwei Wu, Guang Pan, Qiaogao Huang, Yuchen Zhu, Yazhe Liu and Zixiao Zhu
To reduce the cooperative positioning error and improve the navigation accuracy, a single master?slave AUV cooperative navigation method is proposed in this paper, which mainly focuses on planning the optimal path of the master AUV by the time difference...
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Oscar Danilo Montoya, Walter Gil-González and Luis Fernando Grisales-Noreña
This research addresses the problem of the optimal location and sizing distributed generators (DGs) in direct current (DC) distribution networks from the combinatorial optimization. It is proposed a master?slave optimization approach in order to solve th...
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Bo Cheng, Xuefeng Guan, Huayi Wu and Rui Li
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German Francisco Barreto-Parra, Brandon Cortés-Caicedo and Oscar Danilo Montoya
This paper proposes an interconnection of the MATLAB and GAMS software interfaces, which were designed based on a master-slave methodology, to solve the mixed-integer nonlinear programming (MINLP) model problem associated with the problem regarding the o...
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Laura Patricia García-Pineda and Oscar Danilo Montoya
This research deals with the problem regarding the optimal siting and sizing of distribution static compensators (D-STATCOMs) via the application of a master?slave optimization technique. The master stage determines the nodes where the D-STATCOMs must be...
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Jifeng Zhu, Xiaohe Pan, Zheng Peng, Mengzhuo Liu, Jingqian Guo and Jun-Hong Cui
The establishment of the Underwater Internet of Things (UIoT) and the realization of interconnection between heterogeneous underwater intelligent devices are urgent global challenges. Underwater acoustic networking is the most suitable technology to achi...
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Zixiao Zhu, Lichuan Zhang, Lu Liu, Dongwei Wu, Shuchang Bai, Ranzhen Ren and Wenlong Geng
Positioning errors introduced by low-precision navigation devices can affect the overall accuracy of a positioning system. To address this issue, this paper proposes a master-slave multi-AUV collaborative navigation method based on hierarchical reinforce...
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Hui Jiang, Hongya Fu, Zhenyu Han and Hongyu Jin
The effective way to improve the position accuracy of rotary table of ultra-heavy vertical milling lathe is to reduce or even eliminate the clearance of mechanical transmission structure. In this paper, a useful method for eliminating the gear clearance ...
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Teh-Lu Liao, Pei-Yen Wan and Jun-Juh Yan
This paper is concerned with the design of synchronized large-scale chaos random number generators (CRNGs) and its application to secure communication. In order to increase the diversity of chaotic signals, we firstly introduce additional modulation para...
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Ling Zhu and Jie Lin
A lot of research work has studied the auction mechanism of uncertain advertising cooperation between the e-commerce platform and advertisers, but little has focused on pricing strategy in stable advertising cooperation under a certain market power struc...
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Ling Zhu and Jie Lin
A lot of research work has studied the auction mechanism of uncertain advertising cooperation between the e-commerce platform and advertisers, but little has focused on pricing strategy in stable advertising cooperation under a certain market power struc...
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Luis Fernando Grisales-Noreña, Daniel Gonzalez Montoya and Carlos Andres Ramos-Paja
The optimal location and sizing of distributed generation is a suitable option for improving the operation of electric systems. This paper proposes a parallel implementation of the Population-Based Incremental Learning (PBIL) algorithm to locate distribu...
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