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2023 IEEE International Conference on Electro Information Technology, eIT 2023

作者： Fuerte, Susana Rodriguez Yu, Xinrui Saniie, Jafar Illinois Institute of Technology Embedded Computing and Signal Processing Research Laboratory Department of Electrical and Computer Engineering ChicagoIL United States

ISBN: (纸本)9781665493765

This paper presents the current use of the Internet of Things (IoT) in fire evacuation and extinction. It examines the different approaches to the problem and technologies like Building Information Modeling (BIM) and mathematical algorithms that can be used to determine the optimal evacuation route. It also evaluates existing fire security solutions such as smoke, flame, motion, and gas sensors, LED lights, buzzers, and SMS modules. Entities that specialize in Residential and Commercial Security Systems and Home Automation are also discussed, along with the services they offer. The main objective of this study is to understand current systems and resources regarding fire evacuation and extinction systems and to analyze different developments in smart buildings to create an efficient system for fire detection and evacuation. © 2023 IEEE.

关键词： Internet of things

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Design recovery for relay ladder logic 1

Design recovery for relay ladder logic

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1st IEEE Conference on Control Applications, CCA 1992

作者： Falcione, Albert Krogh, Bruce H. Laboratory for Automatic Systems and Information Processing Department of Electrical and Computer Engineering Carnegie Mellon University PittsburghPA15213 United States

ISBN: (纸本)0780300475

This paper introduces an algorithm for converting relay ladder logic (RLL) programs for programmable logic controllers (PLCs) into sequential function chart (SFC) programs. Since an SFC (a standardization of Grafcet) better represents the sequential flow of control logic, it is considerably easier to understand and modify SFC programs. The practical motivation for this paper is to provide a tool for converting existing RLL programs into SFC programs by recovering the underlying sequential control logic. This conversion of the program representation is referred to as design recovery. A basic design recovery algorithm is presented and applied to a simple RLL program for one stage of a batch chemical process. Several fundamental issues in discrete control logic representation and analysis are also identified as fertile areas for future research. © 1992 IEEE.

关键词： Programmable logic controllers

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Smart Infant Monitoring System Using computer Vision and AI

Smart Infant Monitoring System Using Computer Vision and AI

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2023 IEEE International Conference on Electro Information Technology, eIT 2023

作者： Singh, Gurpreet Shekhar, Abhishek Raj Yu, Xinrui Saniie, Jafar Illinois Institute of Technology Embedded Computing and Signal Processing Research Laboratory Department of Electrical and Computer Engineering ChicagoIL United States

ISBN: (纸本)9781665493765

The new era of technology is being greatly influenced by the field of artificial intelligence. computer vision and deep learning have become increasingly important due to their ability to process vast amounts of data and provide insights and solutions in a variety of fields. computer vision, deep learning and signal analysis have been used in a growing number of applications and services including smart devices, image, and speech recognition, healthcare, etc., one such device is an infant monitoring system. It monitors the daily activities of the infant such as their sleeping patterns, sounds, and movements. In this paper, deep learning and computer vision libraries were used to develop algorithms to detect whether the infant was in any uncomfortable situation such as sleeping on its back, face being covered and whether the infant was awake. The smart infant monitoring system detects the infant's unsafe resting situation in real time and sent immediate alerts to the caretaker's device. This paper presents the design flow of a smart infant monitoring system consisting of a night vision camera, a Jetson Nano, and a Wi-Fi internet connection. The pose estimation and awake detection algorithms were developed and tested successfully for different infant resting/sleeping situations. The smart infant monitoring system provides significant benefits for safety and an improved understanding of infants' sleep patterns and behavior. © 2023 IEEE.

关键词： Face recognition

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Analysis of stochastic gradient identification of Hermite polynomial systems with memory

Analysis of stochastic gradient identification of Hermite po...

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5th International Symposium on Signal processing and Its Applications, ISSPA 1999

作者： Celka, P. Bershad, N.J. Vesin, J.M. Department of Electrical Engineering Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne 1015 Switzerland Department of Electrical and Computer Engineering School of Engineering University of California Imine CA 92697 United States

ISBN: (纸本)1864354518

This paper presents analytical and Monte Carlo results for a stochastic gradient adaptive scheme which identifies an orthogonal polynomial-type nonlinear system with memory. The analysis includes recursions for the mean and fluctuation behavior of the adaptive parameters as well computation of the mean-square error increase due to the adaptation process. © 1999 IEEE.

关键词： Mean square error

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Wireless transmission of images using JPEG2000

Wireless transmission of images using JPEG2000

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2004 International Conference on Image processing, ICIP 2004

作者： Thomas, Nikolaos Boulgouris, Nikolaos V. Strintzis, Michael G. Information Processing Laboratory Electrical and Computer Engineering Department Aristotle University of Thessaloniki Greece S. Rogers Sr. Department of Electrical and Computer Engineering University of Toronto Canada Informatics and Telematics Institute Thessaloniki Greece

ISBN: (纸本)0780385543

A novel scheme is proposed for the transmission of JPEG2000 image streams over wireless channels. The proposed scheme exploits the block-based coding structure of the JPEG2000 streams and employs optimized product codes consisting of Turbo codes and Reed-Solomon codes in order to deal effectively with burst errors. The optimization is based on information extracted directly from the compressed JPEG2000 streams. Experimental evaluation demonstrates that the proposed scheme outperform other recent algorithms for the wireless transmission of images. © 2004 IEEE.

关键词： Image processing

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Surveillance of pedestrian bridge traffic using neural networks

Surveillance of pedestrian bridge traffic using neural netwo...

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Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2009

作者： Watkins, Steve E. Stanley, R. Joe Gopal, Anand Moss, Randy H. Department of Electrical and Computer Engineering Applied Optics Laboratory Missouri University of Science and Technology Rolla MO 65409 United States Department of Electrical and Computer Engineering Signal Processing Laboratory Missouri University of Science and Technology Rolla MO 65409 United States

ISBN: (纸本)9780819475527

A computer-vision monitoring system is demonstrated that automatically detects the presence and location of people. The approach investigated the potential for real-time, automated surveillance and tracking in a realistic environment. Economy was obtained by the use of gray-scale, fixed perspective images and efficiency was obtained by the use of selected object features and a neural-network-processing algorithm. The system was applied to pedestrian traffic on an outdoor bridge and consequently had to handle complex images. Image sequences of single and multiple people were used with differences in clothing, position, lighting, season, etc. A two-stage algorithm was implemented in which (1) new objects were identified in a highly variable scene and (2) the objects were classified with a back-propagation neural network. The image processing techniques included segmentation and filtering and the neural network used fourteen object features as inputs. The implementation had excellent people-discrimination accuracy despite the noise in the images and had low computational complexity with respect to alternative techniques. © 2009 SPIE.

关键词： Neural networks

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Automatic flower and visitor detection system 26

Automatic flower and visitor detection system

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26th European Signal processing Conference, EUSIPCO 2018

作者： Tran, Dat Thanh Høye, Toke Thomas Gabbouj, Moncef Iosifidis, Alexandros Laboratory of Signal Processing Tampere University of Technology Finland Department of Bioscience Aarhus University Aarhus Denmark Department of Engineering Electrical and Computer Engineering Aarhus University Denmark

ISBN: (纸本)9789082797015

The visit patterns of insects to specific flowers at specific times during the diurnal cycle and across the season play important roles in pollination biology. Thus, the ability to automatically detect flowers and visitors occurring in video sequences greatly reduces the manual human efforts needed to collect such data. Data-dependent approaches, such as supervised machine learning algorithms, have become the core component in several automation systems. In this paper, we describe a flower and visitor detection system using deep Convolutional Neural Networks (CNN). Experiments conducted in image sequences collected during field work in Greenland during June-July 2017 indicate that the system is robust to different shading and illumination conditions, inherent in the images collected in the outdoor environments. © EURASIP 2018.

关键词： Deep neural networks

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TextNet - A text-based intelligent system

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Natural Language engineering 1997年第2期3.0卷 171-190页

作者： Harabagiu, Sanda M. Moldovan, Dan I. Parallel Knowledge Processing Laboratory University of Southern California Los Angeles CA 90089-2562 United States Department of Computer Science and Engineering Southern Methodist University Dallas TX 75275-0122 United States

A large collection of texts may be reached through the Internet and this provides a powerful platform from which common-sense knowledge may be gathered. This paper presents a system that contains a core knowledge base structured around WordNet, a lexical database, capable of extracting contextual information from a given input text. Such context information is then used to retrieve other texts from the Internet that relate to that context. When processed by the system, these new texts bring more information that represents an enhanced domain context for the initial text. This is an incremental method for text processing that acquires domain knowledge from other texts. The paper describes the system architecture, its core knowledge base and inference engine, and the acquisition of new knowledge from corpora. © 1997, Cambridge University Press. All rights reserved.

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A resource broker for computing nodes selection in grid computing environments 3rd

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3rd International Conference on Grid and Cooperative Computing, GCC2004

作者： Yang, Chao-Tung Lai, Chuan-Lin Shih, Po-Chi Li, Kuan-Ching High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung407 Taiwan Parallel and Distributed Processing Center Department of Computer Science and Information Management Providence University Shalu Taichung433 Taiwan

ISBN: (纸本)3540235647

As Grid Computing is becoming a reality, there is a need for managing and monitoring the available resources worldwide, as well as the need for conveying these resources to the everyday user. This paper describes a resource broker with its main function as to match the available resources to the user’s needs. The use of the resource broker provides a uniform interface to access any of the available and appropriate resources using user’s credentials. The resource broker runs on top of the Globus Toolkit. Therefore, it provides security and current information about the available resources and serves as a link to the diverse systems available in the Grid. © Springer-Verlag Berlin Heidelberg 2004.

关键词： Grid computing

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Efficient masking techniques for large-scale SIMD architectures

Efficient masking techniques for large-scale SIMD architectu...

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Frontiers of Massively parallel Computation

作者： W.G. Nation S.A. Fineberg M.D. Allemang T. Schwederski T.L. Casavant H.J. Siegel Parallel Processing Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA Parallel Processing Laboratory Department of Electrical and Computer Engineering University of Iowa Iowa IA USA Institute for Microelectronics Stuttgart Stuttgart Germany

SIMD (single-instruction-stream, multiple-data-stream) architectures require mechanisms that efficiently enable and disable mask processors to support flexible programming. Most current SIMD architectures use local masking. Global processor masks, specified by the control unit, are more efficient for tasks where the masking is data independent. An efficient hybrid masking technique that supports global masking, as well as local masking, for SIMD architectures constructed from standard microprocessors is proposed. A design for the hybrid mechanism is described, and its experimental performance using the existing PASM prototype is examined. It is shown that the hybrid masking technique can increase the utilization of PEs and thus increase performance, the degree of improvement being algorithm dependent.< >

关键词： Large-scale systems parallel processing Microprocessors Laboratories Concurrent computing computer architecture Prototypes Microelectronics Cities and towns parallel programming

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