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Multi-channel EEG signal segmentation and feature extraction

Multi-channel EEG signal segmentation and feature extraction

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14th International Conference on Intelligent engineering Systems, INES 2010

作者： Procházka, Aleš Mudrová, Martina Vyšata, Oldřich Háva, Robert Araujo, Carmen Paz Suárez Department of Computing and Control Engineering Institute of Chemical Technology in Prague Czech Republic Neurocenter Caregroup Czech Republic Universidad de Las Palmas de G.C. Spain

ISBN: (纸本)9781424476527

Signal analysis of multi-channel data form a specific area of general digital signal processing methods. The paper is devoted to application of these methods for electroencephalogram (EEG) signal processing including signal de-noising, evaluation of its principal components and segmentation based upon feature detection both by the discrete wavelet transform (DWT) and discrete Fourier transform (DFT). The self-organizing neural networks are then used for pattern vectors classification using a specific statistical criterion proposed to evaluate distances of individual feature vector values from corresponding cluster centers. Results achieved are compared for different data sets and selected mathematical methods to detect and to classify signal segments features. Proposed methods are accompanied by the appropriate graphical user interface (GUI) designed in the MATLAB environment. © 2010 IEEE.

关键词： Signal analysis

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A sharing path awareness scheduling algorithm for dataflow architecture 21

A sharing path awareness scheduling algorithm for dataflow a...

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21st IEEE International Conference on High Performance computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： Li, Yi Tan, Xu Xue, Rui Ye, Xiaochun Li, Wenming Wang, Da Zhang, Hao Fan, Dongrui State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781728120584

Dataflow architecture has native advantage in achieving high instruction parallelism and power efficiency for today's emerging applications such as high performance computing and machining learning. In dataflow computing, the execution of instructions is driven by data, so the data transfer efficiency of the network on chip (NoC) is a key factor affecting performance. However, the NoC performance is degraded due to the increasing use of multicast communications in many applications. The existing dataflow architecture instruction scheduling algorithm does not optimize multicast communication between the instruction and its successor instructions, so the routing paths of many multicast packets have forks which cause bandwidth waste and potential network congestion. We propose a sharing path awareness (SPA) algorithm to optimize multicast communication in the dataflow architecture. The algorithm shares the routing paths from the instruction to its child node to reduce the NoC bandwidth waste through the instruction scheduler. Compared with the best prior algorithm, SPA algorithm achieves 15.98% average transfer delay reduction and 21.22% average performance improvement for our experimental workloads. © 2019 IEEE.

关键词： Network-on-chip

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XoT: A flexible block I/O data transfer protocol for xen 10th

XoT: A flexible block I/O data transfer protocol for xen

引用

10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage, SpaCCS 2017

作者： Zhang, Jin Li, Yuxuan Sun, Chengjun Yang, Haoxiang Wu, Jiacheng Gong, Xiaoli College of Computer and Control Engineering Nankai University Tianjin300350 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China

ISBN: (纸本)9783319723945

The management of I/O resources is an important part of virtualization. Although the traditional management is complex, it becomes more challenging in virtualization. There has been many researches on how to improve I/O performance or fairness on Linux using extra semantic data, unfortunately many of them are not proper for virtualization. Because of the limitation of I/O protocol, such extra data can not be transferred along with device data. This forms a semantic gap between VM and hypervisor. In this paper, we proposed Xen on Turnout (XoT), a flexible block I/O data transfer protocol for Xen. XoT makes it possible to transfer extra important I/O data across the gap. We also develop a prototype to prove the effectiveness of our protocol. Our result shows that preferential effect are well achieved for user to manage block I/O with the transferred extra data, with little performance lost. © Springer International Publishing AG 2017.

关键词： Virtual machine

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Memory partition for SIMD in streaming dataflow architectures 7

Memory partition for SIMD in streaming dataflow architecture...

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7th International Green and Sustainable computing Conference, IGSC 2016

作者： Shen, Xiaowei Ye, Xiaochun Tan, Xu Wang, Da Zhang, Zhimin Tang, Zhimin Fan, Dongrui State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781509051175

The high parallelism feature of scientific applications makes SIMD very suitable for streaming dataflow architectures. However, the splitting of SIMD memory requests increases the messages in on-chip networks and decreases the efficiency of streaming dataflow architectures. To process SIMD memory requests without splitting, a memory partition mechanism is proposed for SIMD in streaming dataflow architectures. The mechanism partitions input data of scientific applications into N (SIMD width) independent sub-spaces equally and groups operations on different data with same locations in N sub-spaces into SIMD operation. Moreover, the mechanism merges data with the same location in different sub-spaces to SIMD data and stores SIMD data in same SPMs to process SIMD memory requests as a whole. Simulation experimental results show that the proposed mechanism improves the performance per watt of streaming dataflow architectures by 2.5× on average on typical scientific applications. © 2016 IEEE.

关键词： Memory architecture

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Runtime verification by convergent formula progression 21

Runtime verification by convergent formula progression

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21st Asia-Pacific Software engineering Conference, APSEC 2014

作者： Shen, Yan Li, Jianwen Wang, Zheng Su, Ting Fang, Bin Pu, Geguang Liu, Wanwei Chen, Mingsong Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China Beijing Institute of Control Engineering Beijing China National University of Defense Technology Changsha China

ISBN: (纸本)9781479974252

Runtime verification is a dynamic verification technique widely used in practice. In this paper we revisit the runtime verification technique with formula progression, which verifies the execution trace step by step by progressing the desired property written in temporal logic. The previous work did not discuss explicitly the bound for the sizes of expanded formulas, while the successive invoking of formula progression is likely to cause divergence. In this paper1, we present the convergent formula progression by introducing a novel fixpoint reduction technique, and prove it guarantees the sizes of expanded formulas be always convergent. To the best of our knowledge, this is the first work discussing the convergence of formula progression. Furthermore, we implement the new runtime verification framework, and experiments show the efficiency of our proposed strategy. © 2014 IEEE.

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Trajectory realization with collision avoidance algorithm

Trajectory realization with collision avoidance algorithm

引用

International Workshop on Robot Motion and control (RoMoCo)

作者： R. Kapela A. Rybarczyk M. Szulc Computing Science and Management Institute of Control and Information Engineering Poznan Poland

This paper describes the approach to collision avoidance problem for 3-DOF anthropomorphic robot manipulators. The novelty of the approach is the decomposition of 3D space to two 2D spaces. Resulting is the computationally efficient algorithm, suitable for implementation in the real-time systems. Simulation of the anthropomorphic manipulator operating in three dimensional space with obstacles is also presented.

关键词： Collision avoidance Orbital robotics Manipulators engineering management Anthropomorphism Path planning Real time systems Computational modeling Artificial neural networks Robots

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A unified approach of object-level saliency detection in images and videos

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2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013

作者： Zhang, Chi Wang, Wei Qiang School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing 100190 China Key Lab of intelligence information Processing Institute of Computing Technology CAS Beijing 100190 China

ISBN: (纸本)9783037857984

Object-level saliency detection is an important branch of visual saliency. In this paper, we propose a novel method which can conduct object-level saliency detection in both images and videos in a unified way. We employ a more effective spatial compactness assumption to measure saliency instead of the popular contrast assumption. In addition, we present a combination framework which integrates multiple saliency maps generated in different feature maps. The proposed algorithm can automatically select saliency maps of high quality according to the quality evaluation score we define. The experimental results demonstrate that the proposed method outperforms all state-of-the-art methods on both of the datasets of still images and video sequences. © (2013) Trans Tech Publications, Switzerland.

关键词： Object detection

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Security enhancement of LSB-based audio steganography method

Security enhancement of LSB-based audio steganography method

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2023 IEEE Zooming Innovation in Consumer Technologies Conference, ZINC 2023

作者： Jezdimirovic, Jovana Pekez, Nenad Kovacevic, Jelena University of Novi Sad Faculty of Technical Sciences Computing and Control Engineering Department Novi Sad Serbia Systems LLC RT-RK Institute for Computer Based Novi Sad Serbia

ISBN: (纸本)9798350347722

The rapid development of digital technology has brought about the challenge of ensuring information security. Cryptography and steganography are among the various techniques available to address this challenge. These techniques come in different forms and provide reliable means of securing information and communication. Despite the existence of numerous options, new variations are still emerging. This paper concentrates on Least Significant Bit (LSB) coding, which is one of the most widely recognized and frequently utilized steganography techniques. The advantages of LSB-based coding methods are high capacity and low complexity. However, predictability is an issue. Audio files' sizes and data redundancy make audio data perfect for steganography, as it is possible to embed large amounts of secret information and easily transmit the signal via various communication channels. However, the use of LSB coding in audio steganography has a drawback due to the extreme sensitivity of the human auditory system (HAS). This means that any noise added to the audio with data embedded in the LSBs can be detected by the HAS, which is dependent on the number of LSBs used. This work presents an improvement of the LSB-based approach, the XORing of LSBs method, with an emphasis on enhanced security. The method achieves this by randomly picking the pairs of bits to be XOR'd while preserving the characteristics of classic LSB methods. To verify the method, it has been implemented on the Cirrus Logic DSP, proving that it may be efficiently used in a real-Time audio environment without interfering with HAS sensitivity levels. © 2023 IEEE.

关键词： Steganography

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Device-free human presence detection using frequency domain 1

Device-free human presence detection using frequency domain

引用

1st IEEE International Workshop on Consumer Electronics - Novi Sad, CE WS 2015

作者： Mrazovac, Bojan Todorovic, Branislav M. Kukolj, Dragan Temerinac, Miodrag Department for Computing and Control Engineering Faculty of Technical Sciences Novi Sad Serbia RT-RK Institute for Computer Based Systems Narodnog fronta 23a Novi Sad Serbia

ISBN: (纸本)9781509042685

Device-free human presence (DFHP) detection is a novel technique, mainly applicable to wireless sensor networks in which a human does not need to carry a wireless transceiver to be detected. Irregularities in the radio signal propagation pattern, expressed in a form of received signal strength indicator's (RSSI) variations can indicate possible presence of a human within the existing radio network. In this paper we propose DFHP detection method based on frequency analysis of RSSI variations. The main advantage of the proposed method compared to human detection method based on information entropy is the possibility to determine human presence from furniture layout change. The main drawback is a disability to recognize the absence from the presence of a motionless person in an environment. However, the combination of these two approaches defines a robust and cost-effective DFHP detection method that can be used in various smart home systems without the need for specific hardware installation and exploitation procedures. © 2015 IEEE.

关键词： Fast Fourier transforms

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MoFiM: A morphable fish modeling method for underwater binocular vision system

MoFiM: A morphable fish modeling method for underwater binoc...

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作者： Yin, Jingfang Zhu, Dengming Shi, Min Li, Zhaoxin Duan, Ming Mi, Xiangyuan Wang, Zhaoqi Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China Institute of Hydrobiology Chinese Academy of Sciences Hubei Wuhan China

Fish morphology is an essential basis for fishery management, as it can reflect the growth status of fishes. Noncontact 3D reconstruction of underwater fish is a new way to obtain fish morphology. While it is difficult to reconstruct fish on account of the inadequate information caused by fish swimming and poor underwater imaging. This article introduces a morphable fish modeling method for the underwater binocular vision system. First, we define a fish representation based on selected landmarks. Then, we propose a chirality-supervision incorporated hourglass network to estimate fish orientation and fish 2D landmarks simultaneously, and calculate fish 3D landmarks by triangulation. Next, we propose a fish modeling method which is based on 3D landmarks and introduce the optimization procedure of fish modeling. Finally, we obtain the complete 3D fish model corresponding to the input images. To train our network and build a parametric model, we constructed an underwater vision dataset and fish instance dataset respectively. We conducted experiments with grass carp as an example, and the experimental results show that our method can achieve effective fish modeling and is useful for noncontact measurement of underwater fish. © 2022 John Wiley & Sons Ltd.

关键词： Morphology

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