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Yuan Gao, Guoliang Yu and Min Gao
When the adaptive filter length is increased, the calculation complexity increases rapidly because the relationship between the calculation and the adaptive filter length N contains a power function with no secondary path identification algorithm. Under ...
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Alan Huang and Justie Su-Tzu Juan
A personal camera fingerprint can be created from images in social media by using Photo Response Non-Uniformity (PRNU) noise, which is used to identify whether an unknown picture belongs to them. Social media has become ubiquitous in recent years and man...
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Xiantao Jiang, Mo Xiang, Jiayuan Jin and Tian Song
The versatile video coding (VVC) standard offers improved coding efficiency compared to the high efficiency video coding (HEVC) standard in multimedia signal coding. However, this increased efficiency comes at the cost of increased coding complexity. Thi...
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Terrence Deacon and Spyridon Koutroufinis
We argue that a critical difference distinguishing machines from organisms and computers from brains is not complexity in a structural sense, but a difference in dynamical organization that is not well accounted for by current complexity measures. We pro...
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Yu Chen, Jianwan Ding, Yu Chen and Dong Yan
The introduction of a dynamic model in robot trajectory tracking control design can significantly improve its trajectory tracking accuracy, but there are many uncertainties in the robot dynamic model which can be dealt with through robust control and ada...
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Mohd Hafizuddin Bin Kamilin, Mohd Anuaruddin Bin Ahmadon and Shingo Yamaguchi
In this journal, we proposed a novel method of using multi-task learning to switch the scheduling algorithm. With multi-task learning to change the scheduling algorithm inside the scheduling framework, the scheduling framework can create a scheduler with...
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Kerang Cao, Jingyu Gao, Kwang-nam Choi and Lini Duan
To classify the image material on the internet, the deep learning methodology, especially deep neural network, is the most optimal and costliest method of all computer vision methods. Convolutional neural networks (CNNs) learn a comprehensive feature rep...
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Rudi Kurniawan,Zahrul Fuadi,Ramzi Adriman
Pág. 74 - 83
The perception, localization, and navigation of its environment are essential for autonomous mobile robots and vehicles. For that reason, a 2D Laser rangefinder sensor is used popularly in mobile robot applications to measure the origin of the robot to i...
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Weizhi Meng, Thanassis Giannetsos and Christian D. Jensen
The Internet has rapidly grown into a distributed and collaborative network with over one billion users, e.g., the Internet of Things (IoT). The future Internet will become the core of the next information infrastructure in regard to computation and comm...
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Bo Gao, Baowang Lian and Chengkai Tang
Traditional Micro-Aerial Vehicles (MAVs) are usually equipped with a low-cost Inertial Measurement Unit (IMU) and monocular cameras, how to achieve high precision and high reliability navigation under the framework of low computational complexity is the ...
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Shiori Mitsuya, Yuto Nakashima, Shunsuke Inenaga, Hideo Bannai and Masayuki Takeda
We consider the communication complexity of the Hamming distance of two strings. Bille et al. [SPIRE 2018] considered the communication complexity of the longest common prefix (LCP) problem in the setting where the two parties have their strings in a com...
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Shanshan Chen, Zhicai Shi, Fei Wu, Changzhi Wang, Jin Liu and Jiwei Chen
Time of arrival (TOA) measurement is a promising method for target positioning based on a set of nodes with known positions, with high accuracy and low computational complexity. However, most positioning methods based on TOA (such as least squares estima...
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Xiaoling Tao, Deyan Kong, Yi Wei and Yong Wang
Data fusion is usually performed prior to classification in order to reduce the input space. These dimensionality reduction techniques help to decline the complexity of the classification model and thus improve the classification performance. The traditi...
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Chen Zhang, Celimuge Wu, Min Lin, Yangfei Lin and William Liu
In the advanced 5G and beyond networks, multi-access edge computing (MEC) is increasingly recognized as a promising technology, offering the dual advantages of reducing energy utilization in cloud data centers while catering to the demands for reliabilit...
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Li Li and Kyung Soo Jun
River flood routing computes changes in the shape of a flood wave over time as it travels downstream along a river. Conventional flood routing models, especially hydrodynamic models, require a high quality and quantity of input data, such as measured hyd...
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Jun Li, Chenyang Zhang, Jianyi Zhang and Yanhua Shao
To address the challenge of balancing privacy protection with regulatory oversight in blockchain transactions, we propose a regulatable privacy protection scheme for blockchain transactions. Our scheme utilizes probabilistic public-key encryption to obsc...
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Hongming Li, Lilai Zhang, Hao Cao and Yirui Wu
Deoxyribonucleic Acid (DNA) computing has demonstrated great potential in data encryption due to its capability of parallel computation, minimal storage requirement, and unbreakable cryptography. Focusing on high-dimensional image data for encryption wit...
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Xinjing Zhang and Qixun Zhou
Human pose estimation, as the basis of advanced computer vision, has a wide application perspective. In existing studies, the high-capacity model based on the heatmap method can achieve accurate recognition results, but it encounters many difficulties wh...
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Yu Fu, Shuqing Hao, Junhao Zhang, Liwen Yu, Yuxin Luo and Kuan Zhang
This paper proposes an active?reactive power collaborative scheduling model with cluster division for the flexible distributed energy resources (DERs) of smart-building systems to resolve the high complexity of the centralized optimal scheduling of massi...
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Fei Yu, Bang Liang, Bo Tang and Hongrun Wu
The Interior layout model is to optimize the arrangement position of each room to maximize the comfort and quality of life of residents. Due to the complexity of the Interior layout problem, the computation of fitness function costs lots of time. To redu...
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