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Higher Order Statistics of Bispectrum and MRP of ECoG Signals for Motor Imagery Tasks Classification

Higher Order Statistics of Bispectrum and MRP of ECoG Signal...

引用

IEEE Region 10 Symposium on Technologies for Smart Cities (TENSYMP)

作者： Paul, Sudip Zabir, Ishmam Sarker, Tanmoy Fattah, Shaikh Anowarul Shahnaz, Celia Bangladesh Univ Engn & Technol Elect & Elect Engn Dhaka Bangladesh

ISBN: (纸本)9781509062553

This paper proposes an efficient and effective method to classify motor tasks from ECoG signals in session-to-session transfer. Real time BCI systems require the classification algorithm to be able to overcome the difficulties due to session-to-session transfer. The feature vector proposed here consists of the higher order statistical properties of the bispectrum of the signal itself and of the extracted MRP signal. A KNN classifier with bagging algorithm is employed to ensure optimum number of K nearest neighbors. In order to evaluate the performance of the proposed method and to perform comparison the Dataset I of the BCI competition III is used. It is found that the proposed method is able to provide an accuracy of 87% which is higher than some of the state-of-the-art methods.

关键词： efficient effective state-of-the-art methods bispectrum Electrocorticography Higher order statistics Material requirements planning Eigenvector sorting algorithm signals optimum number Religious Missions Motor

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A Robust Online Signature Based Cryptosystem 14

A Robust Online Signature Based Cryptosystem

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14th International Conference on Frontiers in Handwriting Recognition, ICFHR 2014

作者： Bhateja, Ashok K. Chaudhury, Santanu Saxena, P.K. Scientific Analysis Group Defence R and D Organization Delhi India Department of Electrical Engineering Indian Institute of Technology Delhi India

ISBN: (纸本)9781479943340

Cryptography is the backbone for the security systems. The main challenge in use of the Cryptosystems is maintaining the confidentiality of the cryptographic key. A Cryptosystem which encrypts the data using biometric features improves the security of the data and overcomes the problems of key management and key confidentiality. Fuzzy Vault Scheme proposed by Juels and Sudan [1] binds the secret key and the biometric template, so that extraction of the secret without the biometric data is infeasible. Physical signature is a biometric that is widely accepted and is used for proving the authenticity of a person in legal documents, bank transactions etc. Electronic devices such as digital tablets capture azimuth, altitude and pressure along with x any y coordinates at fixed time interval. This paper describes a robust online signature based cryptosystem to hide the secret by binding it with invariant online signature templates. The invariant templates of the signature are derived from artificial neural network based classifier. The entire signature is divided into fixed number of time slices. Important features are extracted based on the consistency of the feature in the slices of the genuine signature. Binary back propagation based neural network for each feature, each subset of slices for a user is trained by a weighted back propagation algorithm. The decisions of these networks are combined using AdaBoost algorithm. The proposed scheme is highly robust as it works well for all kinds of signatures and is independent of the number of zero crossing and high curvature points in the signature trajectory. © 2014 IEEE.

关键词： Classification algorithms Cryptography Decoding Feature extraction Handwriting recognition Polynomials Training AdaBoost algorithm back propagation cryptosystem fuzzy vault online signature variance cryptography back propagation handwriting recognition sorting algorithm signatures Feature extraction DECODING Polynomial Functional training secret key Variance

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An Efficient Natural Merge Sort Incorporating Array Decomposition 26

An Efficient Natural Merge Sort Incorporating Array Decompos...

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26th International Conference on Computer and Information Technology, ICCIT 2023

作者： Gharami, Kanchon Rashid, Kazi Mehrab Rabbi, Golam Amin, Farhana Shatabda, Swakkhar Shovan, S.M. Mehedi Hasan, Md. Al Rajshahi University of Engineering & Technology Dept. of Computer Science & Engineering Rajshahi Bangladesh United International University Dept. of Computer Science & Engineering Dhaka Bangladesh Missouri University of Science & Technology Dept. of Computer Science & Engineering Missouri United States

ISBN: (纸本)9798350359015

Modifying an algorithm that has been established over many years and making it even faster has always been a fascinating and challenging area in the field of algorithms, which motivated us to take the challenge of improving the performance of Knuth's NaturalMergeSort by reducing the runtime with considering both ascending and descending runs. The way we optimize it is by taking advantage of both ascending and descending runs, i.e., increasing the potential of the decomposition method compared to the existing algorithm. The proposed algorithm was implemented in C++, and the experiment was conducted with some random and manually prepared datasets that resulted in improving the worst case of NaturalMergeSort by an exceedingly large margin of 97.5%, demonstrating the efficiency and flexibility of our algorithm. Even for the average case, our proposed algorithm beats Knuth's NaturalMergeSort by a slight margin, and it also outperforms traditional merge sort with 17.5% improvements. The performance and efficiency of our algorithm have been recorded and presented in graphical form by comparing time and space complexity with other competitor sorting algorithms. © 2023 IEEE.

关键词： MergeSort NaturalMergeSort sorting sorting algorithm

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Kalman filter estimation method for battery cell parameters in Reconfigurable Cascaded Multilevel Converter

Kalman filter estimation method for battery cell parameters ...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Tresca, Giulia Formentini, Andrea Granata, Samuele Magrini, Carlo Zanchetta, Pericle University of Genoa El. Elec. and Telec. Engineering and Naval Architecture Dept. Genova Italy University of Pavia Electrical Computer and Biomedical Engineering Dept. Pavia Italy University of Nottingham Electrical and Electronics Engineering Dept. Nottingham United Kingdom

ISBN: (纸本)9798350316445

This paper presents an online estimation technique Kalman filter-based able to evaluate both the open circuit voltage and the internal resistance of the battery cells installed within the Reconfigurable Cascaded Multilevel Converter. This technique fills the gap for the complex reconfigurable structures, allowing the estimation of the parameters with only the knowledge of the output current and voltage and instantaneous active battery cells. The estimation technique is combined with a sorting algorithm to address the specific topic of multilevel converter controlled with digital modulation. Specifically, the estimation algorithm here presented ensures a reduced convergence time, demonstrated by the low mean error computed. Moreover, the estimation technique is simulated during both discharging and charging processes, showing how different initial conditions may affect the convergence time depending on the power flow. © 2023 IEEE.

关键词： Battery cells Estimation Technique Internal resistance Kalman Filter Multilevel Converter Online Estimation Open circuit voltage Reconfigurable Cascaded Multilevel Converter sorting algorithm

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The optimize tactic and the simulation of the Fast sorting system

The optimize tactic and the simulation of the Fast sorting s...

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2007 IEEE International Conference on Automation and Lofistics

作者： Minde shen Bingqing He Yingying Wu Mechanical Engineering College Shan dong Institute of Light Industry Jinan Shandong ProvinceChina The Logistics Institute of Shan Dong University Shandong University Jinan Shandong ProvinceChina

ISBN: (纸本)9781424415304;1424415306

As the rapid development of logistic technology in our country, the sorting efficiency of the distribution center becomes the bottle-neck in the whole process. At present, various sorting device emerge as the times require and the improvement of the sorting efficiency becomes the difficult problem of the sorting devices. This article begins from the optimize tactic of the sorting system, builds optimizing modal of the rapid sorting system, the result of simulation analyze and the practical run shows that this modal can improve the efficiency of the sorting system greatly. This modal based on the sorting device of the tobacco industry and can be applied to other industries.

关键词： efficiency sorting device sorting algorithm optimize

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Accelerate Implementation of Timsort algorithm Using CUDA 26

Accelerate Implementation of Timsort Algorithm Using CUDA

引用

26th International Conference on Computer and Information Technology, ICCIT 2023

作者： Disha, Dilara Yasmin Mondal, Md. Nazrul Islam Rajshahi University of Engineering & Technology Departmentof Computer Science and Engineering Rajshahi6240 Bangladesh

ISBN: (纸本)9798350359015

sorting algorithms are fundamental in various computing *** this paper, we introduce a CUDA-based acceleration of the Timsort algorithm, leveraging the parallel processing of GPUs. Our implementation strategically decomposes the sorting process into parallel tasks, effectively surmounting inherent challenges related to synchronization and load balancing. Our experimental findings reveal a substantial speedup compared to CPU-based Timsort implementations. This acceleration renders our approach highly promising for real-world applications. Notably, our results demonstrate that the Timsort algorithm achieves a remarkable speed enhancement ranging from 22x to 48x when employing CUDA, relative to CPU-based executions, across diverse dataset sizes. These findings underscore the efficacy and applicability of our CUDA-accelerated Timsort in addressing the growing demand for faster sorting algorithms in contemporary computing scenarios. © 2023 IEEE.

关键词： CUDA GPU Parallel Processing sorting algorithm Timsort

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sorting and Selection in Posets 09

Sorting and Selection in Posets

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Annual ACM-Society for Industrial and Applied Mathmatics Symposium on Discrete algorithms

作者： Constantinos Daskalakis Richard M. Karpy Elchanan Mosselz Samantha Riesenfeldx Elad Verbin Microsoft Research Computer Science UC Berkeley Statistics and Computer Science UC Berkeley Institute for Theoretical Computer Science Tsinghua University

Classical problems of sorting and searching assume an underlying linear ordering of the objects being compared. In this paper, we study these problems in the context of partially ordered sets, in which some pairs of objects are incomparable. This generalization is interesting from a combinatorial perspective, and it has immediate applications in ranking scenarios where there is no underlying linear ordering, e.g., conference submissions. It also has applications in reconstructing certain types of networks, including biological networks. Our results represent significant progress over previous results from two decades ago by Faigle and Turan. In particular, we present the first algorithm that sorts a width-w poset of size n with optimal query complexity O(n(w + logn)). We also describe a variant of Merge-sort with query complexity O(wn log (n/w)) and total complexity O(w~2n log (n/w)); an algorithm with the same query complexity was given by Faigle and Turan, but no efficient implementation of that algorithm is known. Both our sorting algorithms can be applied with negligible overhead to the more general problem of reconstructing transitive relations. We also consider two related problems: finding the minimal elements, and its generalization to finding the bottom k "levels", called the k-selection problem. We give efficient deterministic and randomized algorithms for finding the minimal elements with O(wn) query and total complexity. We provide matching lower bounds for the query complexity up to a factor of 2 and generalize the results to the k-selection problem. Finally, we present efficient algorithms for computing a linear extension of a poset and computing the heights of all elements.

关键词： Poset Turan sorting programs algorithms sorting algorithm grade Order of objects randomized algorithms efficient algorithm Elements Complexity

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Clockless continuous-time neural spike sorting: Method, implementation and evaluation

Clockless continuous-time neural spike sorting: Method, impl...

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International Symposium on Circuits and Systems

作者： Yan Liu Joao L. Pereira Timothy G. Constandinou Department of Electrical and Electronic Engineering Imperial College London SW7 2BT UK Centre for Bio-Inspired Technology Institute of Biomedical Engineering Imperial College London SW7 2AZ UK

ISBN: (纸本)9781479953424

In this paper, we present a new method for neural spike sorting based on Continuous Time (CT) signal processing. A set of CT based features are proposed and extracted from CT sampled pulses, and a complete event-driven spike sorting algorithm that performs classification based on these features is developed. Compared to conventional methods for spike sorting, the hardware implementation of the proposed method does not require any synchronisation clock for logic circuits, and thus its power consumption depend solely on the spike activity. This has been implemented using a variable quantisation step CT analogue to digital converter (ADC) with custom digital logic that is driven by level crossing events. Simulation results using synthetic neural data shows a comparable accuracy compared to template matching (TM) and Principle Components Analysis (PCA) based discrete sampled classification.

关键词： spike spikes sorting algorithm analog digital converter Logic circuits Spike grade Power consumption sorting programs X-Ray Computed Tomography

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Research on the tailoring automatic sub-bed system using algorithm

Research on the tailoring automatic sub-bed system using alg...

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International Conference on Natural Computation

作者： Wang, Xiaoyun Huang, Zhenzhen Zhang, Hongzhi Qiu, Manliang Zhang, Fenglin School of Art and Clothing Tianjin Polytechnic University Tianjin 300160 China Inter-China 3502 Business Wear Co. Ltd Shijiazhuang China

ISBN: (纸本)9781424459612

Based on the existed sub-bed methods and cutting programs in the clothing industry, a software system was developed expecting to generate the cutting program automatically. Greedy algorithm was adopted in the calculation. Maximum spreading layer and layout number were selected as the basic consideration, the system can meet the requirement of the maximum layout number and spreading layer using limited bed. Optimum selection may be reached when using the established system. © 2010 IEEE.

关键词： automatic sub-bed automatic sub-bed system tailoring clothing industry clothing industry clothing tailoring cutting cutting programs greedy algorithm greedy algorithm greedy algorithms interactive sub-bed production engineering computing software system sorting algorithm

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SVM is not always confident: Telling whether the output from multiclass SVM is true or false by analysing its confidence values 16

SVM is not always confident: Telling whether the output from...

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2014 16th IEEE International Workshop on Multimedia Signal Processing, MMSP 2014

作者： Yamasaki, Toshihiko Maeda, Takaki Aizawa, Kiyoharu Department of Information and Communication Engineering University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo Japan

ISBN: (纸本)9781479958962

This paper presents an algorithm to distinguish whether the output label that is yielded from multiclass support vector machine (SVM) is true or false without knowing the answer. Such judgment is done only by the confidence analysis based on the pre-training/testing using the training data. Such true/false judgment is useful for refining the output labels. We experimentally demonstrate that the decision value difference between the top candidate and the second candidate is a good measure. In addition, a proper threshold can be determined by the pre-training/testing using only the training data. Experimental results using three standard image datasets demonstrate that our proposed algorithm can improve Matthews correlation coefficient (MCC) much better than simply thresholding the decision value for the top candidate.

关键词： data analysis support vector machines MCC Matthews correlation coefficient confidence analysis confidence values decision value difference decision value thresholding false judgment image datasets multiclass SVM multiclass support vector machine output label true judgment Accuracy Classification algorithms Machine learning algorithms Support vector machines Testing Training Training data Support Vector Network Training data Machine learning algorithms sorting algorithm MCC Genes False multi-class Functional training

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