Publishing Dynamic State Changes of Resources through State Aware WSDL

2008 ◽  
Author(s):  
Michael Brock ◽  
Andrzej Goscinski
Keyword(s):  
Dynamic State ◽  
State Changes

Understanding Dynamic State Changes in Temporal Lobe Epilepsy

2001 ◽  
Vol 18 (3) ◽  
pp. 246-258 ◽  
Author(s):  
Robert Savit ◽  
Dingzhou Li ◽  
Weiping Zhou ◽  
Ivo Drury
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Temporal Lobe ◽  
Dynamic State ◽  
State Changes

scholarly journals Dynamic State Analysis of a Driven Magnetic Pendulum Using Ordinal Partition Networks and Topological Data Analysis

2020 ◽  
Author(s):  
Audun Myers ◽  
Firas A. Khasawneh
Keyword(s):  
Time Series ◽  
Data Analysis ◽  
Design Tool ◽  
Topological Data Analysis ◽  
Dynamic State ◽  
Design Parameters ◽  
System Response ◽  
Analysis Tool ◽  
State Changes ◽  
Topological Data

Abstract The use of complex networks for time series analysis has recently shown to be useful as a tool for detecting dynamic state changes for a wide variety of applications. In this work, we implement the commonly used ordinal partition network to transform a time series into a network for detecting these state changes for the simple magnetic pendulum. The time series that we used are obtained experimentally from a base-excited magnetic pendulum apparatus, and numerically from the corresponding governing equations. The magnetic pendulum provides a relatively simple, non-linear example demonstrating transitions from periodic to chaotic motion with the variation of system parameters. For our method, we implement persistent homology, a shape measuring tool from Topological Data Analysis (TDA), to summarize the shape of the resulting ordinal partition networks as a tool for detecting state changes. We show that this network analysis tool provides a clear distinction between periodic and chaotic time series. Another contribution of this work is the successful application of the networks-TDA pipeline, for the first time, to signals from non-autonomous nonlinear systems. This opens the door for our approach to be used as an automatic design tool for studying the effect of design parameters on the resulting system response. Other uses of this approach include fault detection from sensor signals in a wide variety of engineering operations.

scholarly journals A Dynamic Anomaly Detection Approach Based on Permutation Entropy for Predicting Aging-Related Failures

Entropy ◽  
2020 ◽  
Vol 22 (11) ◽  
pp. 1225
Author(s):  
Shuguang Wang ◽  
Minyan Lu ◽  
Shiyi Kong ◽  
Jun Ai
Keyword(s):  
Performance Metrics ◽  
Distributed Database ◽  
Dynamic State ◽  
Permutation Entropy ◽  
Software Aging ◽  
Multi Scale ◽  
Detection Approach ◽  
State Changes ◽  
Distributed Database System ◽  
Aging Indicator

Software aging is a phenomenon referring to the performance degradation of a long-running software system. This phenomenon is an accumulative process during execution, which will gradually lead the system from a normal state to a failure-prone state. It is a crucial challenge for system reliability to predict the Aging-Related Failures (ARFs) accurately. In this paper, permutation entropy (PE) is modified to Multidimensional Multi-scale Permutation Entropy (MMPE) as a novel aging indicator to detect performance anomalies, since MMPE is sensitive to dynamic state changes. An experiment is set on the distributed database system Voldemort, and MMPE is calculated based on the collected performance metrics during execution. Finally, based on MMPE, a failure prediction model using the machine learning method to reveal the anomalies is presented, which can predict failures with high accuracy.

scholarly journals Modeling brain dynamic state changes with adaptive mixture independent component analysis

NeuroImage ◽  
2018 ◽  
Vol 183 ◽  
pp. 47-61 ◽  
Author(s):  
Sheng-Hsiou Hsu ◽  
Luca Pion-Tonachini ◽  
Jason Palmer ◽  
Makoto Miyakoshi ◽  
Scott Makeig ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component ◽  
Dynamic State ◽  
State Changes

scholarly journals Fuzzy Identification of The Reliability State of The Mine Detecting Ship Propulsion System

2019 ◽  
Vol 26 (1) ◽  
pp. 55-64 ◽  
Author(s):  
Michał Pająk ◽  
Łukasz Muślewski ◽  
Bogdan Landowski ◽  
Andrzej Grządziela
Keyword(s):  
Vibration Measurement ◽  
Dynamic State ◽  
Mutual Correlation ◽  
Shaft Line ◽  
Current State ◽  
Signal Characteristics ◽  
Rotational Systems ◽  
Turbine Shaft ◽  
State Changes ◽  
The Time Domain

Abstract The study presents the evaluation and comparative analysis of engine shaft line performance in maritime transport ships of the same type. During its operation, a technical system performs functions for which it was designed. It goes through different states. Dynamic state changes of a rotational system can be identified by means of its vibration measurement. For this purpose, a research was carried out which involved recording vibrations of the analysed rotational systems. The recordings were used for calculating selected characteristics in the time-domain, where one of the most unique is the value of the normalized mutual correlation function. On the basis of the concentration values, the characteristics which unambiguously determine the ability state were selected for further studies. Then an identification method for rotational system non-coaxiality was proposed. The method involves using fuzzy clustering. According to this method the values of input signal characteristics were used to formulate fuzzy clusters of system ability and inability states. The method can be used for identifying the current state of the system. The study presents the results of the application of this method in engine turbine shaft lines of minesweepers, with the rotational system selected as an example. It needs to be noted that the efficiency of identifying the operating state of the system with this method is higher than with other methods described in the literature by authors who deal with this issue. The research results have a significant impact on the evaluation of mechanical properties of the studied objects and directly affect operational states of mechanical systems, including those installed in minesweepers, thus determining their reliability.

Pinocytotic-Like Forms of Mitochondria From Rat Anterior Pituitary

1968 ◽  
Vol 26 ◽  
pp. 146-147
Author(s):  
Burton B. Silver
Keyword(s):  
Electron Micrographs ◽  
Conformational Changes ◽  
Anterior Pituitary ◽  
Dynamic State ◽  
Surrounding Cell ◽  
The Matrix ◽  
The Moment ◽  
Cell Medium ◽  
Sectioned Tissue ◽  
State Of Activity

Sectioned tissue rarely indicates evidence of what is probably a highly dynamic state of activity in mitochondria which have been reported to undergo a variety of movements such as streaming, divisions and coalescence. Recently, mitochondria from the rat anterior pituitary have been fixed in a variety of configurations which suggest that conformational changes were occurring at the moment of fixation. Pinocytotic-like vacuoles which may be taking in or expelling materials from the surrounding cell medium, appear to be forming in some of the mitochondria. In some cases, pores extend into the matrix of the mitochondria. In other forms, the remains of what seems to be pinched off vacuoles are evident in the mitochondrial interior. Dense materials, resembling secretory droplets, appear at the junction of the pores and the cytoplasm. The droplets are similar to the secretory materials commonly identified in electron micrographs of the anterior pituitary.

MEASURE COMPLEX SUPPORTING SAFETY AND EFFECTUVE OPERATION OF MUNICIPAL BUSES UNDER WINTER CONDITIONS

2020 ◽  
Vol 2020 (10) ◽  
pp. 37-41
Author(s):  
Sergey Bulatov
Keyword(s):  
Residual Life ◽  
Technical State ◽  
Manufacturing Equipment ◽  
Winter Conditions ◽  
On Line ◽  
State Changes ◽  
The City

The effectiveness of manufacturing equipment use taking into account its productivity and reliability for faulty parts of transmission units in municipal buses is estimated. The on-line mode is the most effective method of control allowing the tracking of the processes of technical state changes in municipal buses. As a result of monitoring there were obtained selected data on PAZ-3205 municipal bus operated under winter conditions in the city of Ohrenburg. During the trip there was recorded 39.1 l/100km petrol consumption. The residual life of the PAZ-3205 municipal bus was 1800km.

Proteomics: Opportunities and Challenges

2011 ◽  
Vol 3 (4) ◽  
pp. 1165-1172 ◽  
Author(s):  
Parag A Pathade ◽  
Vinod A Bairagi ◽  
Yogesh S. Ahire ◽  
Neela M Bhatia
Keyword(s):  
Biomedical Research ◽  
Therapy Monitoring ◽  
Dynamic State ◽  
Data Sets ◽  
Protein Markers ◽  
Drug Target Discovery ◽  
Proteomic Data ◽  
Cell Tissue ◽  
A Cell ◽  
Analytical Tools

‘‘Proteomics’’, is the emerging technology leading to high-throughput identification and understanding of proteins. Proteomics is the protein equivalent of genomics and has captured the imagination of biomolecular scientists, worldwide. Because proteome reveals more accurately the dynamic state of a cell, tissue, or organism, much is expected from proteomics to indicate better disease markers for diagnosis and therapy monitoring. Proteomics is expected to play a major role in biomedical research, and it will have a significant impact on the development of diagnostics and therapeutics for cancer, heart ailments and infectious diseases, in future. Proteomics research leads to the identification of new protein markers for diagnostic purposes and novel molecular targets for drug discovery.  Though the potential is great, many challenges and issues remain to be solved, such as gene expression, peptides, generation of low abundant proteins, analytical tools, drug target discovery and cost. A systematic and efficient analysis of vast genomic and proteomic data sets is a major challenge for researchers, today. Nevertheless, proteomics is the groundwork for constructing and extracting useful comprehension to biomedical research. This review article covers some opportunities and challenges offered by proteomics.   

Sign in / Sign up

Export Citation Format

Share Document