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Angel T. S.,Neethu A. S.,Ravikumar Pandi V.,Kanakasabapathy P
Transmission lines which carries bulk amount of power from generating units to the end users are more prone to fault, since they exposed to atmosphere. Thus the protections of transmission lines are vital in maintaining the continuity in services, and to...
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Wei Zhang, Changkun Wu, Pan Zhang and Yanyan Liu
The architecture proposed in this paper is intended for use in designs that require hardware acceleration and optimization.
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Daniel G. Costa and Luiz Affonso Guedes
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Yordanos Dametw Mamuya, Yih-Der Lee, Jing-Wen Shen, Md Shafiullah and Cheng-Chien Kuo
Fault location with the highest possible accuracy has a significant role in expediting the restoration process, after being exposed to any kind of fault in power distribution grids. This paper provides fault detection, classification, and location method...
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Muhammad Tayyab, Ijaz Ahmad, Na Sun, Jianzhong Zhou and Xiaohua Dong
Consistent streamflow forecasts play a fundamental part in flood risk mitigation. Population increase and water cycle intensification are extending not only globally but also among Pakistan’s water resources. The frequency of floods has increased i...
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El-Sayed M. El-Kenawy, Nima Khodadadi, Ashin Khoshnaw, Seyedali Mirjalili, Amel Ali Alhussan, Doaa Sami Khafaga, Abdelhameed Ibrahim and Abdelaziz A. Abdelhamid
Recently, piracy and copyright violations of digital content have become major concerns as computer science has advanced. In order to prevent unauthorized usage of content, digital watermarking is usually employed. This work proposes a new approach to di...
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Firgan Feradov, Iosif Mporas and Todor Ganchev
There is a strong correlation between the like/dislike responses to audio?visual stimuli and the emotional arousal and valence reactions of a person. In the present work, our attention is focused on the automated detection of dislike responses based on E...
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Dongsheng Li, Jinfeng Ma, Kaifeng Rao, Xiaoyan Wang, Ruonan Li, Yanzheng Yang and Hua Zheng
Accurate rainfall prediction remains a challenging problem because of the high volatility and complicated essence of atmospheric data. This study proposed a hybrid model (DSP) that combines the advantages of discrete wavelet transform (DWT), support vect...
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Youngmin Seo, Yunyoung Choi, Jeongwoo Choi
Pág. 1 - 24
This paper proposes a river stage modeling approach combining maximal overlap discrete wavelet transform (MODWT), support vector machines (SVMs) and genetic algorithm (GA). The MODWT decomposes original river stage time series into sub-time series (detai...
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Youngmin Seo, Yunyoung Choi and Jeongwoo Choi
This paper proposes a river stage modeling approach combining maximal overlap discrete wavelet transform (MODWT), support vector machines (SVMs) and genetic algorithm (GA). The MODWT decomposes original river stage time series into sub-time series (detai...
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Guishuo Wang, Xiaoli Wang and Chen Zhao
The current signal harmonic detection method(s) cannot reduce the errors in the analysis and extraction of mixed harmonics in the power grid. This paper designs a harmonic detection method based on discrete Fourier transform (DFT) and discrete wavelet tr...
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Natalia Isabel Maya, Angie Maylin Nuñez Bedoya, Harold Armando Romo Romero
Objective: To develop two algorithms to evaluate through the comparison the performance of the Discrete Wavelet Transform (DWT) and Digital Image Correlation (DIC) techniques for the recognition of patterns, and more specifically the automatic recognitio...
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Taha Mohammed Hasan,Sahab Dheyaa Mohammed,Jumana Waleed
Pág. 6 - 13
Breast cancer is one of the most common kinds of cancers that infect females in the whole world. It has happened when the cells in breast tissues start to grow in an uncontrollable way. Because it leads to death, early detection and diagnosis is a very i...
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Jidong Wang, Zhilin Xu and Yanbo Che
In order to effectively identify complex power quality disturbances, a power quality disturbance classification method based on empirical wavelet transform and a multi-layer perceptron extreme learning machine (ELM) is proposed. The model uses the discre...
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Zhe Zhang, Xin Bian and Mingqi Li
Channel estimation is an important component of orthogonal frequency division multiplexing (OFDM) systems. The existence of virtual subcarriers leads to energy spreading in the time-domain when using Inverse Fast Fourier Transform (IFFT), resulting in po...
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Fahmi Amhar, Endang Purnama Giri, Florence Elfriede Sinthauli Silalahi, Shelvie Nidya Neyman, Anggrahito, Dadan Ramdani, Danang Jaya, Dewayany Sutrisno, Sandi Adhitya Kolopaking, Tia Rizka Nuzula Rachma and Murdaningsih
This research aims to protect Digital Elevation Model (DEM) data from piracy or counterfeiting. An invisible watermark inserted into the data, which will not considerably change the data value, is necessary. The proposed method involves the use of the tw...
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Yuan hong Zhong, Shun Zhang, Rongbu He, Jingyi Zhang, Zhaokun Zhou, Xinyu Cheng, Guan Huang and Jing Zhang
Feature extraction is a key part of the electronic tongue system. Almost all of the existing features extraction methods are ?hand-crafted?, which are difficult in features selection and poor in stability. The lack of automatic, efficient and accurate fe...
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Peihua Xu, Maoyuan Zhang, Zhenhong Chen, Biqiang Wang, Chi Cheng and Renfeng Liu
Due to the increasing proportion of wind power connected to the grid, day-ahead wind power prediction plays a more and more important role in the operation of the power system. This paper proposes a day-ahead wind power short-term prediction model based ...
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Yuexue Xu, Shengjia Zhang, Jinyu Li, Haiying Liu and Hongchun Zhu
Accurate landform classification is a crucial component of geomorphology. Although extensive classification efforts have been exerted based on the terrain factor, the scale analysis to describe the macro and micro landform features still needs standard m...
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Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, Raafat Aburukba, Assim Sagahyroon and Fadi Aloul
Depression is one of the most common mental health disorders, affecting approximately 280 million people worldwide. This condition is defined as emotional dysregulation resulting in persistent feelings of sadness, loss of interest and inability to experi...
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