Real-Time Data Processing Research Papers (original) (raw)

Extended-spectrum β-lactamases (ESBLs), e.g., ESBLs of the TEM or SHV type, compromise the efficacies of expanded-spectrum cephalosporins. An SHV non-ESBL that hydrolyzes only narrow-spectrum cephalosporins can be converted into an SHV ESBL through substitutions at three amino acid positions, 179, 238, or 238–240. In order to improve detection of SHV ESBLs, a novel method, based on real-time PCR monitored with fluorescently labeled hybridization probes and followed by melting curve analysis, was developed. It is able to (i) detect bla SHV genes with high degrees of sensitivity and specificity, (ii) discriminate between bla SHV non-ESBL and bla SHV ESBL , and (iii) categorize the SHV ESBL producers into three phenotypically relevant subgroups. This method, termed the SHV melting curve mutation detection method, represents a powerful tool for epidemiological studies with SHV ESBLs. It even has the potential to be used in the diagnostic microbiology laboratory, because up to 32 clinica...

- by Herbert Hächler
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- Genetics, Microbiology, Medical Microbiology, real time PCR
- by Daniel McMichael
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- Computer Science, Combinatory Categorial Grammar, Parsing, Situation Assessment
- by Charles Doarn and +1
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- Information Systems, Internet Routing Protocol, Communication System, Data Communication
- by Salim Hariri
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- Autonomic Computing, Forest fire, Middleware, Dynamic control

This study reports results on the real-time consequences of aspectual coercion. We define aspectual coercion as a combinatorial semantic operation requiring computation over and above that provided by combining lexical items through expected syntactic processes. An experiment is described assessing whether or not parsing of a string requiring coercion--in addition to syntactic composition--is more computationally costly than parsing a syntactically transparent counterpart, a string that provides for an interpretable representation via syntactic composition alone. The prediction of a higher computational cost for this process is borne out by the results.

- by Ray Jackendoff
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- Psychology, Cognitive Science, Linguistics, Time Perception
- by Ivan Andonovic and +2
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- Engineering, Electronics, Condition Monitoring, Software Design

Cooperative mobile robots have recently been gaining importance within the field of robotics. It's been proven that collaborative robots can do tasks in a faster and more reliable manner than a single robot can. Additionally, recent advances in distributed coordination algorithms have dramatically improved the feasibility and suitability of cooperative approaches. This has lead researchers to develop Inter-robot communication frameworks. While several frameworks have been introduced, one of the most common is the Service-Oriented Architecture (SOA). However, the suitability of SOA for collaborative robotic communication has not been fully evaluated. In this paper we evaluate the SOA from an overhead perspective against non service-based architectures in a wireless environment. Our evaluation is based on performance suitability, which is determined by measuring throughput and delay for different numbers of mobile robots sharing real time data.

- by xuan ngoc Pham
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- Computer Vision, Image Processing, Computational Complexity, Stereoscopy

We present the Convergence Processor, an innovative component that integrates a high performance 32- bit RISC core, a custom IP core optimised for header-processing and other blocks for specific communication interfaces required for the delivery of broadband residential applications. The component is a System-on-Chip supporting the real time processing of packets and protocol data units from various networking interfaces. Its

- by A. Kostopoulos
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- Video Processing, Security Engineering, Open Source, System Architecture
- by Aleksandra Pizurica
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- Video Compression, Wavelet Analysis, Motion estimation, Videoconference

This paper presents an extension of MOVICAB-IDS, a Hybrid Intelligent Intrusion Detection System characterized by incorporating temporal control to enable real-time processing and response. The original formulation of MOVICAB-IDS combines artificial neural networks and case-based reasoning within a multiagent system to perform Intrusion Detection in dynamic computer networks. The contribution of the anytime algorithm, one of the most promising to adapt Artificial Intelligent techniques to real-time requirements; is comprehensively presented in this work.

This paper describes an empirical model of the time-of-flight of a sonar sensor, derived from data collected with a Polaroid ultrasonic range finder. The goal of this model is to enable the acquisition of the profile of surfaces with a... more

- by Carlos Couto
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- Real-Time Data Processing, Empirical Model
- by stefan Niculescu
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- Genetics, Computer Science, Data Mining, Information Extraction
- by Christian Lovis
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- Engineering, Human Computer Interaction, Medical Informatics, Cognition
- by George Petihakis
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- Decision Making, Operations Management, Petroleum, Strategic Planning
- by B. Gonçalves
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- Computer Architecture, Data acquisition, Real-Time Data Processing
- by John Marriner
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- Geography, Physics, Image Processing, Active Galactic Nuclei

Partial discharge measurements on transformers and rotating machines are an accepted tool of quality control, in factory and on site. Common methods to improve the quality of noisy PD data are filtering and gating. Recently a new method was introduced, which is able to clearly separate different PD sources within the DUT as well as separate PD from noise. This multi-channel synchronous measuring method compares amplitude relations of simultaneous PD sources of three phases (3PARD). PD pulses propagate from its origin to the decoupling site, even cross-coupling to the other phases. PD from different locations inside the insulation will lead to unique pulse triples at the 3 decoupling positions. The amplitude relations of the 3 synchronous decoupled pulses of one pulse source will be nearly constant. That allows a classification of different noise sources and single PD failures within the DUT by comparison of these amplitude relations. As a new approach of PD source separation the 3PA...

- by Ronald Plath
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- Quality Control, High Voltage Engineering, Real Time, Phase Transformation
- by Stefano Bifaretti
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- Estimation Techniques, Kalman Filter, Mathematical Sciences, Fixed Point Theory

The rapid growth of huge data has become a challenge to the data analysts in recent time. As the data is growing exponentially many techniques are on the rise, for processing the real time data. Many data processing models like Hadoop, Apache YARN, Mapreduce, Storm,and Akka are leading the Big Data domain. This paper analyses and compares all the data processing models stated above. Researchers are trying to increase the efficiency of the algorithms used in the data processing. In this paper, we propose two algorithms namely JATS and SD, which will enhance the efficiency of the storm data processing architecture.

- by Dhinesh Babu L.D and +2
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- Big Data, Real-Time Data Processing, Big Data Technologies, Apache Storm
- by Bruce Stephen and +1
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- Animal health, Radio Frequency, Low Power Consumption, Real-Time Data Processing
- by Derek Abbott
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- Data Analysis, Hilbert transform, Adaptive Filter, Analytic Signal
- by Ian Javier
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- Human Computer Interaction, Computer Vision, Computer Animation, Face Recognition

- by Michael Krüger
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- Quality Control, High Voltage Engineering, Real Time, Phase Transformation
- by Michał Rubaszek
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- Marketing, Econometrics, Forecasting, Policy Analysis
- by Bernd Hamann
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- Approximation Theory, Visualization, Computational Geometry, Mesh simplification
- by Ross Crosby
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- Psychology, Consulting, Adolescent, Bulimia Nervosa
- by Kirk Shelley
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- Algorithms, Biomedical Engineering, Signal Processing, Comparative Study

This paper introduces a real-time data compression and transmission algorithm between e-health terminals for a periodic ECGsignal. The proposed algorithm consists of five compression procedures and four reconstruction procedures. In order to evaluate the performance of the proposed algorithm, the algorithm was applied to all 48 recordings of MIT-BIH arrhythmia database, and the compress ratio (CR), percent root mean square difference (PRD), percent root mean square difference normalized (PRDN), rms, SNR, and quality score (QS) values were obtained. The result showed that the CR was 27.9:1 and the PRD was 2.93 on average for all 48 data instances with a 15% window size. In addition, the performance of the algorithm was compared to those of similar algorithms introduced recently by others. It was found that the proposed algorithm showed clearly superior performance in all 48 data instances at a compression ratio lower than 15:1, whereas it showed similar or slightly inferior PRD performance for a data compression ratio higher than 20:1. In light of the fact that the similarity with the original data becomes meaningless when the PRD is higher than 2, the proposed algorithm shows significantly better performance compared to the performance levels of other algorithms. Moreover, because the algorithm can compress and transmit data in real time, it can be served as an optimal biosignal data transmission method for limited bandwidth communication between e-health devices.

- by Jungkuk Kim
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- Algorithms, Geriatrics, Biomedical Engineering, Signal Processing
- by John Mironga
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- Remote Sensing, Spatial Analysis, Plant Biology, Aquatic botany
- by ardy ardy
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- Cognitive Science, Brain Imaging, Phonetics, Magnetoencephalography

This paper describes the development of a novel algorithm to tackle the problem of real-time video stabilization for unmanned aerial vehicles (UAVs). There are two main components in the algorithm: (1) By designing a suitable model for the global motion of UAV, the proposed algorithm avoids the necessity of estimating the most general motion model, projective transformation, and considers simpler motion models, such as rigid transformation and similarity transformation; (2) to achieve a high processing speed, optical flow-based tracking is employed in lieu of conventional tracking and matching methods used by state-of-the-art algorithms. These two new ideas resulted in a real-time stabilization algorithm, developed over two phases. Stage I considers processing the whole sequence of frames in the video while achieving an average processing speed of 50 fps on several publicly available benchmark videos. Next, Stage II undertakes the task of real-time video stabilization using a multi-threading implementation of the algorithm designed in Stage I.

- by Josef Bigun
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- Engineering, Face Recognition, Motion Analysis, Face Detection

Today’s real-time systems (RTS) are characterized by managing large volumes of dispersed data making real-time distributed data processing a reality. Large business houses need to do distributed processing for many reasons, and they often must do it in order to stay competitive. So, efficient database management algorithms and protocols for accessing and manipulating data are required to satisfy timing constraints of supported applications. Therefore, new research in distributed real-time database systems (DRTDBS) is needed to investigate possible ways of applying database systems technology to real-time systems. This paper first discusses the performance issues that are important to DRTDBS, and then surveys the research that has been done so far on the issues like priority assignment policy, commit protocols and optimizing the use of memory in non-replicated/replicated environment pertaining to distributed real time transaction processing. In fact, this study provides a foundation for addressing performance issues important for the management of very large real time data and pointer to other publications in journals and conference proceedings for further investigation of unanswered research questions.

- by Chandrajit Pal
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- FPGA, Complex System, Software Design, Data Communication
- by Krishna Pattipati
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- Service Quality, Wear, Fault Detection and Isolation, Optimization
- by paolo arena
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- Genetics, Image Processing, Computed Tomography, Breast Cancer
- by Valerie Crews
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- Data Mining, Event Detection, Early Detection, Domain Specificity
- by David Bridge
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- Engineering, Information Technology, Database Systems, RFID
- by Bruce Ingleby
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- Oceanography, Data Assimilation, Quality Control, Seasonality

Temperature warnings are important forecasts because they are used to protect life and property. Temperature forecasting is the application of science and technology to predict the state of the temperature for a future time and a given location. Temperature forecasts are made by collecting quantitative data about the current state of the atmosphere. In this paper, a neural network-based algorithm

- by Kadar Shereef
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- Environmental Science, Back Propagation, Science and Technology, Neural Network
- by Michele Modugno and +2
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- High Dimensional Data, Real-Time Data Processing
- by Jorge Werner and +2
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- Health Care, Cloud Computing, Social Medicine, expert System
- by Matthieu Rauch and +1
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- Mechanical Engineering, Computer Aided Design, Validation Studies, Real-Time Data Processing
- by Leah Macfadyen
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- Higher Education, Student Engagement, Network Analysis, Collaborative Learning