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8th international Conference on Intelligent Environments, IE 2012

作者： Jauregui-Ortiz, Salvador Siller, Mario Ramos, Felix Scalabrin, Edson Electrical Engineering and Computer Science Department Center of Research and Advanced Studies Guadalajara Jalisco Mexico Graduate Program in Computer Science Pontifical Catholic University Parana Brazil Curitiba Parana Brazil

ISBN: (纸本)9780769547411

As far as we know, there is not a Node Localization Algorithm (NLA) that presents the same accuracy for all possible scenarios. We believe that a NLA should be able to interpret the dynamic information of the environment. In this sense, simple NLAs are rather focused and might perform well for specific scenarios and applications. Therefore, information fusion and context awareness seems to be an appropriate approach to address this issue. We propose the Smart Environmental Architecture for Node Localization (SEA-NL), which is composed by two main elements: (i) the Smart Beacon Nodes (SBNs) and (ii) the Logical Position of Nodes (LPN). In (i) the obstruction level indicator is estimated and can improve the estimation of distances among nodes. In (ii) environment information and a one to one relation between a node and an object are used and can also improve location estimation. Via simulation, our architecture was tested indoors and outdoors considering three localization algorithms: the Weighed Centroid Localization (WCL), the Centroid Localization, and the Triangular Centroid Localization. Finally, we present an accuracy comparison among NLAs used in isolated way, and by using the SBNs, the LPN, and the SEA-NL, where our architecture improves WCL up to ~30.88%. © 2012 IEEE.

关键词： Information fusion

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Objective Sleep Quality Measurement based on Fuzzy Logic and Wearable Device 8

Objective Sleep Quality Measurement based on Fuzzy Logic and...

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8th international Conference on computer science and Computational Intelligence, ICCSCI 2023

作者： Wijaya, Jason A. Andersen, Pauw D. Surantha, Nico Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta11480 Indonesia Department of Electrical Electronic and Communication Engineering Tokyo City University Japan

Sleep is the natural state of relaxation for human being. Sleep quality is an essential yet frequently neglected aspect of sleep in general. Sleep quality is essential because it allows the body to restore itself and prepare for the next day. The standard method for evaluating sleep quality was subjective evaluation. Actigraphy devices, which can measure the sleep cycle, are now widely available. This study developed a method using Fuzzy Logic and an actigraphy device to measure and classify sleep quality. The fuzzy logic method was developed in several stages, which are determining the sleep quality measurement parameters, constructing the fuzzy set for each input variable, and developing the fuzzy rules. To evaluate the proposed fuzzy model, five individuals were invited to participate in the experiment and required to complete the PSQI subjective sleep questionnaire. The evaluation result shows that our proposed Fuzzy model achieves lower error compared to the existing method. © 2023 The Authors. Published by Elsevier B.V.

关键词： actigraphy artificial intelligences fuzzy logic sleep sleep quality

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Evaluation of time-series database on microservice architecture for health monitoring system

Evaluation of time-series database on microservice architect...

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2022 international Symposium on Electronics and Smart Devices, ISESD 2022

作者： Simanjuntak, Eko Surantha, Nico Isa, Sani Muhamad Bina Nusantara University Binus Graduate Program-Master of Computer Science Computer Science Department Jakarta11480 Indonesia Tokyo City University Electronic and Communication Engineering Faculty of Engineering Department of Electrical Tokyo Japan

ISBN: (数字)9798350396607

ISBN: (纸本)9798350396607

Recently, the research on daily health monitoring using a wearable sensor has been continually evolving. In the future, when this system is actually implemented, a vast amount of data transmission will be conducted from multiple sensors to the cloud server. A system capable of transmitting, storing, processing, and visualizing massive volumes of data is necessary for health monitoring. This research aims to develop a health monitoring system that can accommodate a high amount of data with high performance. The proposed techniques include numerous modifications to system architecture and technology. In the system architecture, a multi-database is proposed to enhance the reliability of the system. As an enhancement to the technology aspect, a time series database and MQTT server are proposed. As the result, the proposed system achieves significantly better performance in terms of throughput, database-writing speed, and database-reading speed compared to the existing system. © 2022 IEEE.

关键词： Database systems

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ON THE IMPORTANCE OF COMPONENTS OF THE MODULATION SPECTRUM FOR SPEAKER VERIFICATION 5

ON THE IMPORTANCE OF COMPONENTS OF THE MODULATION SPECTRUM F...

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5th international Conference on Spoken Language Processing, ICSLP 1998

作者： van Vuuren, Sarel Hermansky, Hynek Department of Electrical and Computer Engineering Oregon Graduate Institute of Science and Technology PO Box 91000 PortlandOR97291-1000 United States International Computer Science Institute BerkeleyCA United States

We provide an analysis of the relative importan components of the modulation spectrum for speaker v cation. The aim is to remove less relevant components reduce system sensitivity to acoustic disturbances improving verification accuracy. Spectral component tween 0.1 Hz and 10 Hz are found to contain the useful speaker information. We discuss this result in context of RASTA processing and cepstral mean sub tion. When compared to cepstral mean subtraction that retains components up to 50 Hz, lowpass filtering to 10 Hz with downsampling by 75% is found to significantly prove robustness in mismatched conditions. The do sampling results in a large computational savings. © 1998. 5th international Conference on Spoken Language Processing, ICSLP 1998. All rights reserved.

关键词： Low pass filters

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!MESS: A modular, efficient speaker verification system

!MESS: A modular, efficient speaker verification system

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Workshop on Speaker Recognition and its Commercial and Forensic Applications, RLA2C 1998

We describe a text-independent speaker verification system !MESS that was designed to be highly modular and efficient. The system incorporates an extension of the Tel script language that facilitates rapid prototyping and high overall execution speed. We provide an overview of the system and its implementation, detailing its applicability as a flexible research environment. Using the system we investigate the importance of parts of the modulation spectrum for speaker verification. We find that higher modulation frequencies are not particularly important for verification - removing them improves verification performance. On the 1997 Switchboard evaluation set, for test segments of 30 seconds, a relatively small system with lowpass filtering at 10Hz cutoff gives a 12% reduction in EER. Copyright © RLA2C 1998 - Speaker Recognition and its Commercial and Forensic *** rights reserved.

关键词： Low pass filters

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Semi-autonomous navigation for virtual tactical simulations in the military domain 8

Semi-autonomous navigation for virtual tactical simulations ...

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8th international Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2018

作者： Brondani, Juliana R. Silva, Luis A. L. Rutzig, Mateus B. Pozzer, Cesar T. Nunes, Raul C. Martins, Joaõ B. De Freitas, Edison P. Graduate Program in Electrical Engineering Federal University of Rio Grande do Sul Porto Alegre RS Brazil Graduate Program in Computer Science Federal University of Santa Maria Santa Maria RS Brazil

ISBN: (纸本)9789897583230

Integrated constructive and virtual simulations are becoming popular for tactical training in the military domain. An important aspect concerning the integration of these simulation models in the construction of virtual tactical simulations is the modelling and implementation of different kinds of semi-autonomous agents. A fundamental feature of these agents is the capability of intelligently and realistically modelling task-oriented navigation activities in large virtual terrain simulation environments, while following underlying military doctrine and tactics. This paper reviews important navigation issues that emerge in such simulation systems and prominent Artificial Intelligence (AI) techniques that have been explored to solve them. From this analysis, a hybrid, semi-autonomous navigation framework is proposed aiming to fulfil the needs of virtual tactical training simulations, more specifically, in the military domain. As implemented in a system for the virtual tactical simulation of artillery battery tasks, the framework shows how to overcome the challenges of implementing realistic global and local navigation behaviours for military units and, at the same time, it shows that the semi-autonomous behaviours implemented are of primary importance to allow interaction with users for learning purposes in the simulation exercises. Copyright © 2018 by SCITEPRESS-science and Technology Publications, Lda. All rights reserved.

关键词： Navigation

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Author Correction: Dynamical flexible inference of nonlinear latent factors and structures in neural population activity

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Nature biomedical engineering 2025年第2期9卷 283页

作者： Hamidreza Abbaspourazad Eray Erturk Bijan Pesaran Maryam M Shanechi Ming Hsieh Department of Electrical and Computer Engineering Viterbi School of Engineering University of Southern California Los Angeles CA USA. Departments of Neurosurgery Neuroscience and Bioengineering University of Pennsylvania Philadelphia PA USA. Ming Hsieh Department of Electrical and Computer Engineering Viterbi School of Engineering University of Southern California Los Angeles CA USA. shanechi@usc.edu. Thomas Lord Department of Computer Science Alfred E. Mann Department of Biomedical Engineering Neuroscience Graduate Program University of Southern California Los Angeles CA USA. shanechi@usc.edu.

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Voltage Levels and Reactive Power in Distribution Networks with High Integration of Distributed Photovoltaic Generation

Voltage Levels and Reactive Power in Distribution Networks w...

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2019 IEEE PES Conference on Innovative Smart Grid Technologies, ISGT Latin America 2019

作者： Darui, Caroline B. F. Lucca, Tiago G. Abaide, Alzenira Da R. Da Veiga, Matheus F. Da Cruz, Matheus S. Knak Neto, Nelson Wüst, Lucas L. Figueiró, Iuri C. Federal University of Santa Maria Graduate Program in Electrical Engineering Santa Maria Brazil URI Santo Ângelo Department of Engineering and Computer Science Santo Ângelo Brazil

ISBN: (纸本)9781538695678

The Brazilian electrical system is undergoing many changes due to the exponential growth of photovoltaic systems connected to the grid (PV). This increase may affect power quality parameters, such as reduction of power factor and increase of voltage levels. This work aims to model and simulate a low voltage distribution network with high levels of integration of PV systems in order to verify how the voltage and reactive parameters behave in these cases. It was used new load curve models, the Monte Carlo method and the OpenDSS software. © 2019 IEEE.

关键词： Monte Carlo methods

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Towards bio-inspired place recognition over multiple spatial scales

Towards bio-inspired place recognition over multiple spatial...

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2013 Australasian Conference on Robotics and Automation, ACRA 2013

作者： Chen, Zetao Jacobson, Adam Erdem, Uʇur M. Hasselmo, Michael E. Milford, Michael School of Electrical Engineering and Computer Science Queensland University of Technology Australia Center for Memory and Brain and Graduate Program for Neuroscience Boston University United States

ISBN: (纸本)9780980740448

This paper presents a new multi-scale place recognition system inspired by the recent discovery of overlapping, multi-scale spatial maps stored in the rodent brain. By training a set of Support Vector Machines to recognize places at varying levels of spatial specificity, we are able to validate spatially specific place recognition hypotheses against broader place recognition hypotheses without sacrificing localization accuracy. We evaluate the system in a range of experiments using cameras mounted on a motorbike and a human in two different environments. At 100% precision, the multiscale approach results in a 56% average improvement in recall rate across both datasets. We analyse the results and then discuss future work that may lead to improvements in both robotic mapping and our understanding of sensory processing and encoding in the mammalian brain.

关键词： Brain mapping

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Hybrid clutter canceler with feedback guided predicative filtering on a heterogeneous parallel processing system

Hybrid clutter canceler with feedback guided predicative fil...

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international Waveform Diversity and Design Conference, WDD 2012

作者： Brinkhus, Jeffrey M. Jezak, Joseph A. Berdanier, Charles Levitan, Steven P. Chiarulli, Donald M. Electical and Computer Engineering University of Pittsburgh United States Computer Engineering Graduate Program University of Pittsburgh United States Electrical Engineering Wright State University United States Computer Science Department University of Pittsburgh United States

ISBN: (纸本)9781509005987

In this paper we describe a novel clutter cancellation platform based on a two stage approach that combines a feedback guided predictive front-end hybrid clutter canceller with high performance back-end filtering and target detection. The front-end architecture is based on an FPGA implementation of a Kalman filter that predicts target locations in real time and removes the target signals from the incoming data prior to hybrid cancellation. The back-end is user configurable and exploits high performance GPU and multi-core parallel hardware to simultaneously compute multiple clutter suppression and target detection algorithms coupled to an intelligent selection strategy for selecting the most accurate result. These target locations are fed back to the FPGA Kalman filter periodically to update the target predictions. © 2012 IEEE.

关键词： Kalman filters

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