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Partha Sarathi Paul, Anurag Dhungel, Maisha Sadia, Md Razuan Hossain and Md Sakib Hasan
This paper presents a general method, called ?self-parameterization?, for designing one-dimensional (1-D) chaotic maps that provide wider chaotic regions compared to existing 1-D maps. A wide chaotic region is a desirable property, as it helps to provide...
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Pedro Santana and José Moura
To handle the exponential growth of data-intensive network edge services and automatically solve new challenges in routing management, machine learning is steadily being incorporated into software-defined networking solutions. In this line, the article p...
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Ervin Galan-Uribe, Luis Morales-Velazquez and Roque Alfredo Osornio-Rios
Industrial processes involving manipulator robots require accurate positioning and orienting for high-quality results. Any decrease in positional accuracy can result in resource wastage. Machine learning methodologies have been proposed to analyze failur...
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Kuo-Ing Hwu, Jenn-Jong Shieh and Pin-Jung Chen
In this paper, a thermoelectric conversion system for multiple heat sources is proposed. For design convenience, the overall system employs only a single-stage converter. Such a converter uses coupling inductors and switched capacitors to increase the vo...
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Seojin Jang, Wei Liu and Yongbeom Cho
Owing to their high accuracy, deep convolutional neural networks (CNNs) are extensively used. However, they are characterized by high complexity. Real-time performance and acceleration are required in current CNN systems. A graphics processing unit (GPU)...
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