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George Manis, Dimitrios Bakalis and Roberto Sassi
Many popular entropy definitions for signals, including approximate and sample entropy, are based on the idea of embedding the time series into an m-dimensional space, aiming to detect complex, deeper and more informative relationships among samples. How...
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Hai Nan, Yumeng Kong, Jie Zhan, Mingqiang Zhou and Ling Bai
Membrane computing is a branch of natural computing, which is a new computational model abstracted from the study of the function and structure of living biological cells. The study of numerical computation based on membrane computation has received incr...
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Mohammad Naser Lessani, Jiqiu Deng and Zhiyong Guo
Multiple geographical feature label placement (MGFLP) is an NP-hard problem that can negatively influence label position accuracy and the computational time of the algorithm. The complexity of such a problem is compounded as the number of features for la...
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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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Fangling Leng, Fan Li, Yubin Bao, Tiancheng Zhang and Ge Yu
As graph models become increasingly prevalent in the processing of scientific data, the exploration of effective methods for the mining of meaningful patterns from large-scale graphs has garnered significant research attention. This paper delves into the...
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Bo Cui, Lingyun Wang, Guangxi Li and Xian Ren
The dynamic star simulator is a commonly used ground-test calibration device for star sensors. For the problems of slow calculation speed, low integration, and high power consumption in the traditional star chart simulation method, this paper designs a F...
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Pavel V. Matrenin
Planning tasks are important in construction, manufacturing, logistics, and education. At the same time, scheduling problems belong to the class of NP-hard optimization problems. Ant colony algorithm optimization is one of the most common swarm intellige...
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Dmitry Lukyanenko
The paper proposes a parallel algorithm for solving large overdetermined systems of linear algebraic equations with a dense matrix. This algorithm is based on the use of a modification of the conjugate gradient method, which is able to take into account ...
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Dominic Windisch, Christian Kaever, Guido Juckeland and André Bieberle
In this article, we introduce a parallel algorithm for connected-component analysis (CCA) on GPUs which drastically reduces the volume of data to transfer from GPU to the host. CCA algorithms targeting GPUs typically store the extracted features in array...
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Meng Yu, Yaqiong Lv, Yuhang Wang and Xiaojing Ji
Berth allocation is a critical concern in container terminal port logistics, involving the precise determination of where and when arriving vessels should dock along a quay. With berth space limitations and a continuous surge in container handling demand...
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Danial Rooyani and Fantahun Defersha
The work in this paper is motivated by a recently published article in which the authors developed an efficient two-stage genetic algorithm for a comprehensive model of a flexible job-shop scheduling problem (FJSP). In this paper, we extend the applicati...
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Chun-Liang Lee, Guan-Yu Lin and Yaw-Chung Chen
Advanced network services, such as firewalls, policy-based routing, and virtual private networks, must rely on routers to classify packets into different flows based on packet headers and predefined filter tables. When multiple filters are overlapped, co...
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Cheng Yang, Tianliang Lu, Shangyi Yan, Jianling Zhang and Xingzhan Yu
Domain name generation algorithms are widely used in malware, such as botnet binaries, to generate large sequences of domain names of which some are registered by cybercriminals. Accurate detection of malicious domains can effectively defend against cybe...
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Yidong Chen, Chen Li and Zhonghua Lu
In this paper, we propose a parallel algorithm for a fund of fund (FOF) optimization model. Based on the structure of objective function, we create an augmented Lagrangian function and separate the quadratic term from the nonlinear term by the alternate ...
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Hanxin Chen, Shaoyi Li and Menglong Li
Conventional signal processing methods such as Principle Component Analysis (PCA) focus on the decomposition of signals in the 2D time?frequency domain. Parallel factor analysis (PARAFAC) is a novel method used to decompose multi-dimensional arrays, whic...
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Iouliia Skliarova
It is well known that network-based parallel data processing algorithms are well suited to implementation in reconfigurable hardware recurring to either Field-Programmable Gate Arrays (FPGA) or Programmable Systems-on-Chip (PSoC). The intrinsic paralleli...
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Rujapa Nanthapodej, Cheng-Hsiang Liu, Krisanarach Nitisiri and Sirorat Pattanapairoj
Environmental concerns and rising energy prices put great pressure on the manufacturing industry to reduce pollution and save energy. Electricity is one of the main machinery energy sources in a plant; thus, reducing energy consumption both saves energy ...
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Aleksandr Cariow and Janusz P. Paplinski
The article presents a parallel hardware-oriented algorithm designed to speed up the division of two octonions. The advantage of the proposed algorithm is that the number of real multiplications is halved as compared to the naive method for implementing ...
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Nikolay Viktorovich Baranovskiy, Aleksey Podorovskiy and Aleksey Malinin
Forest fires have a negative impact on the economy in a number of regions, especially in Wildland Urban Interface (WUI) areas. An important link in the fight against fires in WUI areas is the development of information and computer systems for predicting...
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Andrés Angulo, Diego Rodríguez, Wilmer Garzón, Diego F. Gómez, Ameena Al Sumaiti and Sergio Rivera
The integration of different energy resources from traditional power systems presents new challenges for real-time implementation and operation. In the last decade, a way has been sought to optimize the operation of small microgrids (SMGs) that have a gr...
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