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Stress Analysis in Online Examination using Deep Learning Approach

Stress Analysis in Online Examination using Deep Learning Ap...

引用

international conference for convergence of technology (I2CT)

作者： Priyanka Prabhakar Suja Palaniswamy Peeta Basa Pati Department of Computer Science & Engineering Amrita School of Computing Bengaluru Amrita Vishwa Vidyapeetham India

Nowadays, learning has changed its mode from offline to online, i.e., e-Learning. This e-learning has become more popular during the pandemic situations. Many platforms offer online exams and proctored exams, which are used at schools and colleges. Students' stress levels will be ordinarily high during examinations, whether offline or online, and the percentage of stress levels will be based on the students' cognitive behavior, subject knowledge, and the difficulty level of the questions. This study aims to propose a system for accurate stress level detection among students during the exam, thereby analyzing the impact of stress on their exam performance and scoring.

关键词： Support vector machines Electronic learning Correlation Pandemics Metadata Object recognition Stress

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Sign-Regressor Wilcoxon and Sign-Sign Wilcoxon

Sign-Regressor Wilcoxon and Sign-Sign Wilcoxon

引用

international conference on Advances in Recent Technologies in Communication and computing, ARTCom

作者： Upendra Kumar Sahoo Ganapati Panda Bernard Mulgrew Electronics and Communication Engineering Department National Institute of Technology Rourkela India School of Electrical Sciences IIT Bhubaneswar India IDCOM University of Edinburgh UK

It is known that sign sign LMS and sign regressor LMS are faster than LMS. Inspiring from this idea we have proposed sign regressor Wilcoxon and sign-sign wilcoxon which are robust against the outlier present in the desired data and also faster than Wilcoxon and sign Wilcoxon norm. It had applied to varities of linear and nonlinear system identification problems with Gaussian noise and impulse noise present in the desired. The simulation results are compared among Wilcoxon,sign Wilcoxon and proposed sign-sign Wilcoxon and sign-regressor Wilcoxon. From simulation results it has proved that the proposed techniques are robust against outlier in the desired data and convergence speed are faster compared to other two norms.

关键词： Noise Least squares approximation Adaptive systems System identification convergence Robustness Equations

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Distributed Robust State Estimation of Uncertain Complex Networked Systems

Distributed Robust State Estimation of Uncertain Complex Net...

引用

Neuromorphic computing (ICNC), international conference on

作者： Yufan Zhao Yuezu Lv Hao Yu School of Automation Beijing Institute of Technology Beijing China Advanced Research Institute For Multidisciplinary Science Beijing Institute of Technology Beijing China

This paper studies the consensus problem of multi-agent systems with unknown inputs under directed communication topologies. The structure of a specific-time observer is designed which takes a pulsative form at some time instants, and then the distributed attack-free protocol is presented, which only utilizes relative output measurement. To test the validity of the algorithm, the proposed algorithm is compared with existing Kalman filtering algorithm through simulation analysis, thereby drawing a conclusion on the advantages of reducing calculation costs, improving estimation accuracy, and convergence speed.

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Load Balancing in Cloud computing using Mutation Based Particle Swarm Optimization

Load Balancing in Cloud Computing using Mutation Based Parti...

引用

Contemporary computing and Applications (IC3A), international conference on

作者： Ronak Agarwal Neeraj Baghel Mohd. Aamir Khan Computer Science & Engineering GLA University Mathura India Center for Advanced Studies AKTU Lucknow India Indian Institute of Technology IIT Kanpur India

ISBN: (数字)9781728154329

ISBN: (纸本)9781728154336

Cloud computing has emerged as a technology that grease tasks by the dynamic allocation of virtual machines. Users pay for resources based on their demand. A cloud provider has to face many challenges. One out of the essential problem is load balancing, which suffers from many issues like premature convergence, reduced convergence speed, at first chosen random solutions, and stuck in native optima. The proposed method considered the MakeSpan parameters to handle the problem related to existing met heuristic techniques. The proposed method focuses on the mutation-based Particle Swarm algorithm to balance load among the data centers. Here an efficient load balancing algorithm is developed to minimize performance parameters like MakeSpan time and improve the fitness function in cloud computing.

关键词： cloud computing load balancing particle swarm optimization virtual machine Load balancing Cloud computing Particle swarm optimization virtual machines dynamic allocation data center

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Iterative Learning Control with PI-PD and Smith Compensator for Batch Processes

Iterative Learning Control with PI-PD and Smith Compensator ...

引用

international conference on Innovative computing, Information and Control (ICICIC)

作者： Yue Hu Shuchen Li Chunyan Zhai School of Information Engineering Liaoning University of Petroleum and Chemical Technology Fushun Liaoning China

The iterative learning control (ILC) strategies with two controllers based on Smith compensator were proposed for batch process which had uncertainties in modeling and time delay. They fully used previous batch control information and were attached to the current control system to improve tracking performance through repetition. The dynamics of process were represented by transfer function plus pure time delay. The stability properties of the proposed strategies in the presence were analyzed in the frequency domain. The sufficient conditions guaranteeing convergence of tracking error were stated and proven. The effectiveness of the proposed methods are demonstrated by simulation results

关键词： Delay effects Transfer functions Uncertainty Control systems convergence Stability analysis Frequency domain analysis Iterative algorithms Open loop systems Algorithm design and analysis

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Training feedforward neural networks using orthogonal iteration of the Hessian eigenvectors

Training feedforward neural networks using orthogonal iterat...

引用

international Joint conference on Neural Networks (IJCNN)

作者： A. Hunter Department of Computing and Engineering Technology University of Sunderland Sunderland UK

The paper describes a training algorithm for multilayer perceptrons. It has scalable memory requirements, which may range from O(W) to O(W/sup 2/), although in practice the useful range is limited to lower complexity levels. The algorithm is based upon a novel iterative estimation of the principal eigensubspace of the Hessian, together with a quadratic step estimation procedure. It is shown that the new algorithm has convergence time comparable to conjugate gradient descent, and may be preferable if early stopping is used as it converges more quickly during the initial phases. Results of experiments to confirm the algorithm's performance are presented.

关键词： Neural networks Feedforward neural networks Approximation algorithms convergence Eigenvalues and eigenfunctions Computer networks Multi-layer neural network Shape Gradient methods

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A Modified Differential Evolution Multi-objective Optimization Method

A Modified Differential Evolution Multi-objective Optimizati...

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international conference on Computational Intelligence and Natural computing, CINC

作者： L.B. Zhang X.L. Xu C.T. Sun C.G. Zhou College of Computer Science and Technology Jilin University Changchun China

Differential evolution (DE) is population based, direct search, global optimization new algorithm. DE is simple and efficient, so solving multi-objective optimization problems (MOP) using DE has become a new hot research topic. It was found in the research process that there are deteriorations in the process of solving MOP based on DE. Due to deterioration occurs, thus the convergence can no longer be guaranteed for the algorithm, and the efficiency is reduced for solving. This paper proposed resolve methods correspond to these two deteriorations. Numerical experiments show the effectiveness of the proposed algorithm.

关键词： Optimization methods Degradation Evolutionary computation Computational intelligence Sun Educational institutions Computer science convergence Pareto optimization Genetic mutations

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CCRP: Converging Credit-Based and Reactive Protocols in Datacenters 17th

CCRP: Converging Credit-Based and Reactive Protocols in Dat...

引用

17th IFIP WG 10.3 international conference on Network and Parallel computing, NPC 2020

作者： Bai, Yang Hu, Dinghuang Dong, Dezun Huang, Shan Liao, Xiangke College of Computer National University of Defense Technology Changsha410073 China

ISBN: (纸本)9783030794774

As the link speed has grown steadily from 10 Gbps to 100 Gbps, high-speed data center networks (DCNs) require more efficient congestion management. Therefore, proactive transports, especially credit-based congestion control, nowadays have drawn much attention because of fast convergence, near-zero queueing and low latency. However, in real deployment scenarios, it is hard to guarantee one protocol to be deployed in every host at one time. Thus, when the credit-based protocols are deployed into DCNs incrementally, the network will convert to multi-protocol state and face the following fundamental challenges: (i) unfairness, (ii) non-convergence, and (iii) high buffer occupancy. In this paper, we propose a new protocol, called CCRP, aiming for converging credit-based and reactive protocols in data centers. Targeting the mostly deployed protocol, i.e. DCQCN based on explicit congestion notification (ECN), in DCNs, CCRP leverages the forward ECN to detect the network congestion in data queue and optimizes feedback control of the credit-based transports. Our experiment results show that this design can address the unfair link allocation and converge with reactive protocols rapidly. Furthermore, CCRP achieves high utilization and low buffer occupancy at the same time. © 2021, IFIP international Federation for Information Processing.

关键词： Credit-based and ECN-based protocol Data center Multi-protocol converging

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European R&D and standardisation in the multimedia domain: a symbiotic relationship

European R&D and standardisation in the multimedia domain: a...

引用

IEEE international conference on Multimedia computing and Systems (ICMCS)

作者： A. de Albuquerque C.M. Pires European Commission DG XIII F/3 Brussels Belgium

European R&D programmes in telecommunication and information technology, managed by the European Commission Services, are about to start a new phase. The Information Society Technologies programme brings to the foreground the concept of convergence. convergence between technologies but also between technology and the commercial and regulatory requirements to enable open global markets. The former industrial pre-competitive European R&D programmes, RACE (Research and Development in Advanced Communications in Europe) and ACTS (Advanced Communications Technologies and Services), maintained a strong symbiotic relationship with standardisation. Through mechanisms put in place during the lifetime of the programme the various research projects were clustered in concertation groups to harmonise approaches leading to clear and stronger contributions in the different standardisation organisation/consortia. The expectations are that standardisation in the networked multimedia domain works as enabler of market openness and fairness, public interest and social-cultural awareness (in the sense of taking into account the end-user as an individual or community) leading to a non-obstructive competitive attitude. This paper lists a non-exhaustive set of points in telecommunication and information technology where we believe R&D and standardisation must find a sustained input/output flow of background technological work and consensus-building mechanisms to achieve the above mentioned objectives.

关键词： Information technology Information management technology management Globalization Communication industry Industrial relations Research and development Europe Communications technology Symbiosis

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B-spline based repetitive controller revisited: Error shift, higher-order polynomials and smooth pass-to-pass transition

B-spline based repetitive controller revisited: Error shift,...

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international conference on System Theory, Control, and computing (ICSTCC)

作者： Michal Malkowski Bartlomiej Ufnalski Lech M. Grzesiak Faculty of Electrical Engineering Warsaw University of Technology Warsaw Poland

The paper presents a modified version of a training algorithm for a B-spline network (BSN). The algorithm is used as a controller for a constant-amplitude constant-frequency voltage-source inverter (CACF VSI) with an LC output filter. The modification is divided into three parts. Firstly, there are B-spline functions of higher orders that are used especially functions of a second order. Secondly, the B-spline functions are described in cyclic manner which allows to achieve smooth control signal in steady state. Last modification involves introduction of a shift between the error and the control signal. It improves convergence of the algorithm and allows to achieve a long term stability without using the forgetting factor.

关键词： Splines (mathematics) convergence Harmonic analysis Oscillators Voltage control Steady-state Control systems

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