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2008 International Conference on Data Mining, DMIN 2008

作者： Xu, Rui Woodley, Robert S. Wunsch II, Donald C. Applied Computational Intelligence Laboratory Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO 65409 United States 21st Century Systems Inc. Ft. Leonard Wood MO 65473 United States Department of Electrical and Computer Engineering Missouri University of Science and Technology Rolla MO 65409 United States

ISBN: (纸本)1601320620

The possibility of the usage of deadly aerosolized pathogens, particularly anthrax, in bioterrorist attack has raised tremendous concerns in recent years. Several anthrax incubation models have been introduced in order to characterize the incubation period of human inhalation anthrax. It is important to accurately identify the model that fits best with the observed anthrax time series, which directly affects the prediction results of the severity of the potential anthrax attacks. Here, we applied Default ARTMAP, an important neural network algorithm for classification, to separate anthrax time series generated from different inhalation anthrax models. Experimental results on anthrax time series derived from major inhalation anthrax models, together with anti-patterns and a smallpox time series, demonstrate the effectiveness of Default ARTMAP in identifying anthrax time series derived from different models, as well as discriminating unrelated cases.

关键词： Time series

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PAPR reductioni in OFDM using kashin's representation

PAPR reductioni in OFDM using kashin's representation

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IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

作者： Jovana Ilic Thomas Strohmer Department of Electrical and Computer Engineering Department of Mathematics University of California슠Davis USA

A major drawback of OFDM is its large peak to average power ratio (PAPR). While subcarrier reservation is a common approach to combat this problem, little is known about the performance of algorithms that utilize subcarrier reservation. By combining properties of sparse signals with an abstract form of the uncertainty principle related to multiple subcarrier signals, we design an efficient iterative method for constructing OFDM signals with lower PAPR. Unlike most existing subcarrier reservation methods, our method provides a guaranteed upper bound for PAPR reduction as well as guaranteed rates of convergence. Numerical simulations demonstrate the performance of the proposed method.

关键词： Peak to average power ratio OFDM Signal processing Uncertainty Numerical simulation mathematics Iterative algorithms Signal design Iterative methods Upper bound

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Data Analytics on Eco-Conditional Factors Affecting Speech Recognition Rate of Modern Interaction Systems

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Journal of Mobile Multimedia 2022年第4期18卷 1153-1176页

作者： Kaladevi, A.C. Saravanakumar, R. Veena, K. Muthukumaran, V. Thillaiarasu, N. Kumar, S. Satheesh Department of Computer Science and Engineering Sona College of Technology Salem India Department of CSE Dayananda Sagar Academy of Technology and Management Bangalore 560082 India Department of Computer Science J.K.K.Nataraja College of Arts & Science Namakkal Dt. Komarapalayam India Department of Mathematics School of Applied Sciences REVA University Karnataka Bengaluru India School of Computing and Information Technology REVA University Bengaluru India Department of Computer Science School of Applied Sciences REVA University Bengaluru India

Speech-based Interaction systems contribute to the growing class of contemporary interactive techniques (Human-computer Interactive system), which have emerged quickly in the last few years. Versatility, multi-channel synchronization, sensitivity, and timing are all notable characteristics of speech recognition. In addition, several variables influence the precision of voice interaction recognition. However, few researchers have done a significant study on the five eco-condition variables that tend to affect speech recognition rate (SRR): ambient noise, human noise, utterance speed, and frequency. The principal strategic goal of this research is to analyze the influence of the four variables mentioned earlier on SRR, and it includes many stages of experimentation on mixed noise speech data. The sparse representation-based analyzing technique is utilized to analyze the effects. Speech recognition is not noticeably affected by a person's usual speaking pace. As a result, high-frequency voice signals are more easily recognized (∼98.12%) than low-frequency speech signals in noisy environments. By performing the experiments, the test results may help design the distributive controlling and commanding systems. © 2022 River Publishers.

关键词： ambient noise eco-conditional factors frequency human noise Interaction system recognition rate utterance speed

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Heterogeneous Recognition of Human Activity with CNN and RNN-based Networks using Smartphone and Smartwatch Sensors 3

Heterogeneous Recognition of Human Activity with CNN and RNN...

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3rd International Conference on Big Data Analytics and Practices, IBDAP 2022

作者： Mekruksavanich, Sakorn Jantawong, Ponnipa Hnoohom, Narit Jitpattanakul, Anuchit University of Phayao School of Information and Communication Technology Department of Computer Engineering Phayao Thailand Mahidol University Image Information and Intelligence Laboratory Department of Computer Engineering Faculty of Engineering Nakhon Pathom Thailand King Mongkut's University of Technology Intelligent and Nonlinear Dynamic Innovations Research Center Department of Mathematics Faculty of Applied Science North Bangkok Bangkok Thailand

ISBN: (数字)9781665469388

ISBN: (纸本)9781665469388

With ongoing advancements in remote sensor technologies, the concept of wearable sensors has gained widespread acceptance and grown ubiquitous due to its broad applicability in situations including ambient assisted living, innovative healthcare, and home appliances. In this context, the demand for Heterogeneous Human Activity Recognition (HHAR) has expanded considerably, as individuals desire their daily activities to be collected and analyzed to provide valuable information. This wearable sensing data is taken in the form of time-series data utilizing different wearable sensors, such as accelerometers, gyroscopes, and magnetometers, to offer other movement characteristics for each individual tracked from their smartphones and smartwatches. This data may be analyzed using different deep learning architectures to provide an additional platform for capturing and classifying the numerous sensor-based actions an individual could be undertaking. This research compares HHAR models based on deep learning techniques. We study the influence of smartphone and wristwatch sensor data on model performance and classification of human activities. We train and evaluate deep learning models to achieve our study objective using a publically available standard dataset (HHAR) with a 5-fold cross-validation technique. Using smartphone sensors, research findings demonstrate that the RNN-based model is superior to CNN-based models, with the most fantastic accuracy of 98.42%. © 2022 IEEE.

关键词： Smartphones

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An efficient local search for grid scheduling problem in learning system

An efficient local search for grid scheduling problem in lea...

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2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

作者： Wang, Chih-Ming Tsai, Chun-Wei Chiang, Ming-Chao Yang, Chu-Sing Department of Computer Science and Engineering National Sun Yat-sen University Kaohsiung 80424 Taiwan Department of Applied Geoinformatics Chia Nan University of Pharmacy and Science Tainan 71710 Taiwan Department of Electrical Engineering National Cheng Kung University Tainan 70101 Taiwan

ISBN: (纸本)9781467300223

Grid scheduling is an NP-complete problem which the objective is to minimize the completion time (makespan). This paper is motivated by the requirement that the feedback analysis service of e-learning system needs to distribute the computing jobs for balancing the workload and getting the fast response. We propose an efficient local search method embed into the differential evolution algorithm (DE) to find a feasible solution. DE is efficiently in the computing time and the proposed local search method tries to enhance the result of DE for minimizing the makespan. Comparing with DE, our proposed algorithm reduces the makespan with the ratio 64% in the best case. Simulation results demonstrate the proposed method. © 2012 IEEE.

关键词： Learning systems

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Robust Rank Aggregation method for Case-Base effort estimation

Robust Rank Aggregation method for Case-Base effort estimati...

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Canadian Conference on electrical and computer engineering (CCECE)

作者： Ali Bou Nassif Mohammad Azzeh Shadi Banitaan Department of Electrical and Computer Engineering University of Sharjah Sharjah UAE Department of Software Engineering Applied Science University Amman Jordan Department of Mathematics University of Detroit Mercy USA

It is well recognized that effort estimation is an essential part of successful software management. Among many estimation models, the Case-Base Effort Estimation (CBEE) has been intensively used among researchers and practitioners as a promising model for better and accurate effort prediction. The common challenges with this model are: (1) finding the nearest cases to the new case, (2) selecting best features set, and (3) determining the optimal k number of nearest cases that should be involved in the final prediction stage. Irrespective of existing many models to mitigate these challenges, none have achieved the full trust from research community. In this paper, we used Robust Rank Aggregation method as a potential solution for the abovementioned challenges. We believe that the CBEE tasks can been seen as ranking problem. The proposed model has been evaluated over 8 datasets coming from different sources. The results achieved are promising. In conclusion, we can recommend the proposed model as a successful alternative for original CBEE.

关键词： Estimation Robustness Mathematical model Computational modeling Software Predictive models computers

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Proposal for 1×4 ultracompact arrayed waveguide grating based on Si-nanowire spirals

Proposal for 1×4 ultracompact arrayed waveguide grating bas...

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2010 International Symposium on Optomechatronic Technologies, ISOT 2010

作者： Rostami, Ali Sattari, Hamed Janabi-Sharifi, Farrokh Photonic and Nanocrystal Research Laboratory Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran Department of Photonics Research Institute for Applied Physics and Astronomy University of Tabriz Tabriz Iran Department of Mechanical and Industrial Engineering Ryerson University Toronto Canada

ISBN: (纸本)9781424476848

A 1×4 ultracompact AWG, based on Si-nanowires is proposed. In this configuration waveguides with couple of spirals are used instead of conventional AWG systems. Arrangement of spirals is in such a way that, not only makes it possible to reach a large lightpath in a small area, but also there is more freedom in size adjustment. Presented AWG has 4 channels with channel spacing of 0.2 nm and total size of less than 250×290 μm2. © 2010 IEEE.

关键词： Arrayed waveguide gratings

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Single Loop Control of a Common DC-Bus-Configured Traction Motor Emulator Using State Feedback Linearization Method

Single Loop Control of a Common DC-Bus-Configured Traction M...

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2021 IEEE Southern Power Electronics Conference, SPEC 2021

作者： Kadam, Arvind H. Williamson, Sheldon S. Group Faculty of Engineering and Applied Science Department of Electrical Computer and Software Engineeirng 2000 Simcoe Street North OshawaONL1G 0C5 Canada

ISBN: (纸本)9781665436236

Nowadays, the LCL (inductor-capacitor-inductor) filter is an integral part of every power electronic converter system operating on current control. Though higher order, the LCL filter due to its high harmonic suppression capability are widely adopted in back-to-back converter systems or grid connected converter systems. Normally, with LCL filter, the control system follows double closed loop with outer loop controlling DC voltage and inner loop controlling AC current. However, for some special applications like common DC-bus-configured motor emulator (ME) system, the DC bus voltage is not required to be controlled. In addition, the presence of LCL filter introduces cross coupling of flux and torque component in case of AC motor emulation. The double closed loop control is generally adopted to decouple torque and flux components, however the controller design is more complex process. Therefore, this paper presents a single loop control of a common DC-bus-configured ME system with LCL filter based on state feedback linearization method. The decoupling equations in direct and quadrature axis are derived here. The simulation results presented for a 2.0 kW PMSM motor validate the stability as well as closed loop operation of the system with single loop control. © 2021 IEEE.

关键词： Synchronous motors

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Windowed Green Function MoM for Second-Kind Surface Integral Equation Formulations of Layered Media Electromagnetic Scattering Problems

arXiv

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arXiv 2022年

作者： Arrieta, Rodrigo Pérez-Arancibia, Carlos Department of Electrical Engineering PUC Chile Chile Department of Applied Mathematics University of Twente Netherlands

This paper presents a second-kind surface integral equation method for the numerical solution of frequency-domain electromagnetic scattering problems by locally perturbed layered media in three spatial dimensions. Unlike standard approaches, the proposed methodology does not involve the use of layer Green functions. It instead leverages an indirect Müller formulation in terms of free-space Green functions that entails integration over the entire unbounded penetrable boundary. The integral equation domain is effectively reduced to a small-area surface by means of the windowed Green function method, which exhibits high-order convergence as the size of the truncated surface increases. The resulting (second-kind) windowed integral equation is then numerically solved by means of the standard Galerkin method of moments (MoM) using RWG basis functions. The methodology is validated by comparison with Mie-series and Sommerfeld-integral exact solutions as well as against a layer Green function-based MoM. Challenging examples including realistic structures relevant to the design of plasmonic solar cells and all-dielectric metasurfaces, demonstrate the applicability, efficiency, and accuracy of the proposed methodology. © 2022, CC BY-NC-SA.

关键词： Solar cells

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Leveraging Noise Recycling in Soft Detection Decoding Using ORBGRAND

Leveraging Noise Recycling in Soft Detection Decoding Using ...

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IEEE International Symposium on Information Theory

作者： Zeynep Ece Kizilates Arslan Riaz Giacomo F. Coraluppi Muriel Medard Ken R. Duffy Rabia Tugce Yazicigil Department of Electrical and Computer Engineering Boston University Boston MA USA Department of Electrical Engineering and Computer Science MIT Cambridge MA USA Department of Electrical and Computer Engineering & Department of Mathematics Northeastern University Boston MA USA

For communications subject to correlated channel effects, noise recycling has recently been shown to enhance channel capacity with receiver-side-only changes. Using a taped-out chip, in a hard-detection scenario with guessing random additive noise decoding (GRAND), noise recycling has been established to both increase decoding accuracy and decrease decoding energy in single communication channels that employ interleavers. This paper presents results for the related soft-detection scenario by investigating noise recycling with an in-silicon realization of Ordered Reliability Bits Guessing Random Additive Noise Decoding (ORBGRAND). Measurements demonstrate that noise recycling leads to a significant reduction in the block error rate (BLER) and substantial improvements in latency and energy consumption by reducing the number of queries required for decoding. We also discuss dynamic lead channel selection for the soft detection scenario and show the importance of lead channel on overall decoding performance.

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