Image based portable wear debris analysis tool

2015 ◽  
Vol 67 (4) ◽  
pp. 389-398 ◽  
Author(s):  
Muhammad Ali Khan ◽  
Ahmed Farooq Cheema ◽  
Sohaib Zia Khan ◽  
Shafiq-ur-Rehman Qureshi
Keyword(s):  
Real Time ◽  
Wear Debris ◽  
Machine Component ◽  
Analysis Tool ◽  
Content Type ◽  
Real Time Analysis ◽  
Distribution Shape ◽  
Basic Features ◽  
Health Diagnosis ◽  
Wear Debris Analysis

Purpose – The purpose of this paper is to show the development of an image processing-based portable equipment for an automatic wear debris analysis. It can analyze both the qualitative and quantitative features of machine wear debris: size, quantity, size distribution, shape, surface texture and material composition via color. Design/methodology/approach – It comprises hardware and software components which can take debris in near real-time from a machine oil sump and process it for features diagnosis. This processing provides the information of the basic features on the user screen which can further be used for machine component health diagnosis. Findings – The developed system has the capacity to replace the existing off-line methods due to its cost effectiveness and simplicity in operation. The system is able to analyze debris basic quantitative and qualitative features greater than 50 micron and less than 300 micron. Originality/value – Wear debris basic features analysis tool is developed and discussed. The portable and near real-time analysis offered by the discussed work can be more technically effective as compared to the existing off-line and online techniques.

Status of MEGAlib's real-time analysis tool Realta

2011 ◽  
Author(s):  
Andreas Zoglauer ◽  
Michelle Galloway ◽  
Mark Amman ◽  
Steven E. Boggs
Keyword(s):  
Real Time ◽  
Analysis Tool ◽  
Time Analysis ◽  
Real Time Analysis

A New Method To Interpret Fracturing Pressure—Application to Frac Pack

SPE Journal ◽  
2015 ◽  
Vol 20 (03) ◽  
pp. 508-517 ◽  
Author(s):  
Elias Pirayesh ◽  
Mohamed Y. Soliman ◽  
Mehdi Rafiee ◽  
Ali Jamali
Keyword(s):  
Real Time ◽  
New Technique ◽  
Logarithmic Scale ◽  
Analysis Tool ◽  
Real Time Analysis ◽  
Pressure Application ◽  
Invaluable Tool ◽  
Theory Application ◽  
Pressure Analysis

Summary Real-time analysis of fracturing data is an invaluable tool for determining whether a fracturing job is progressing as planned. Since early days, understanding of fracturing pressure was emphasized and practiced by the industry. The most well-known fracturing-pressure-analysis tool is the Nolte-Smith technique. To predict the geometry of a hydraulically induced fracture, the Nolte-Smith technique analyzes the pressure response of a formation during pumping. Extensive application of this technique has proved reliable to interpret fracturing events. However, the compression of data imposed by logarithmic scale may make the detection of some events difficult. In addition, the Nolte-Smith technique necessitates prior accurate knowledge of formation-closure pressure. In this paper, we present a real-time fracturing diagnostic. This method, which is based on a modification of the Nolte-Smith technique, has proved reliable in the interpretation of fracturing behavior while a fracturing job is being carried out. In addition, it eliminates the shortcomings of the original technique, meaning that while making the interpretation of fracturing pressure faster, the new technique does not require prior knowledge of formation in-situ stresses. This technique was reached by a new innovative moving-reference-point concept assembled with the power-law fracture-propagation theory. Application of the new technique in the analysis of a variety of field cases, including several frac-pack and regular fracturing treatments, proved successful.

scholarly journals Real-time Analysis of Privacy-(un)aware IoT Applications

2021 ◽  
Vol 2021 (1) ◽  
pp. 145-166
Author(s):  
Leonardo Babun ◽  
Z. Berkay Celik ◽  
Patrick McDaniel ◽  
A. Selcuk Uluagac
Keyword(s):  
Real Time ◽  
Language Processing ◽  
Smart Devices ◽  
Analysis Tool ◽  
Time Analysis ◽  
Sensitive Data ◽  
Privacy Preferences ◽  
Iot Applications ◽  
Real Time Analysis ◽  
Privacy Risks

AbstractAbstract: Users trust IoT apps to control and automate their smart devices. These apps necessarily have access to sensitive data to implement their functionality. However, users lack visibility into how their sensitive data is used, and often blindly trust the app developers. In this paper, we present IoTWATcH, a dynamic analysis tool that uncovers the privacy risks of IoT apps in real-time. We have designed and built IoTWATcH through a comprehensive IoT privacy survey addressing the privacy needs of users. IoTWATCH operates in four phases: (a) it provides users with an interface to specify their privacy preferences at app install time, (b) it adds extra logic to an app’s source code to collect both IoT data and their recipients at runtime, (c) it uses Natural Language Processing (NLP) techniques to construct a model that classifies IoT app data into intuitive privacy labels, and (d) it informs the users when their preferences do not match the privacy labels, exposing sensitive data leaks to users. We implemented and evaluated IoTWATcH on real IoT applications. Specifically, we analyzed 540 IoT apps to train the NLP model and evaluate its effectiveness. IoTWATcH yields an average 94.25% accuracy in classifying IoT app data into privacy labels with only 105 ms additional latency to an app’s execution.

Real-time analysis of Cyprus’ embryonic oil and gas industry

2016 ◽  
Vol 11 (3) ◽  
pp. 376-394 ◽  
Author(s):  
Alkis Thrassou
Keyword(s):  
Real Time ◽  
Oil And Gas ◽  
Data Gathering ◽  
Secondary Data ◽  
Oil And Gas Industry ◽  
Primary Data ◽  
Comprehensive Overview ◽  
Gas Industry ◽  
Content Type ◽  
Real Time Analysis

Purpose Utilising a substantial volume of reliable international literature, information and positions – as well as many, less credible, local ones – the research analyses and interprets theoretical, secondary and primary data that are specific, relevant or peripheral to the emerging oil and gas industry of Cyprus. The purpose of this paper is to identify and investigate the forces and factors that affect the development of this very new industry; and to integrate them into a single provisional industry forces model. Design/methodology/approach This research is purely exploratory and is methodologically based on the review, comparison and interrelation of an extensive array of theoretical and secondary data works; which is reinforced and refined through an injection of primary qualitative work in the form of 20 expert and high-level interviews. Findings The research achieves the above-stated aim and further concludes with a schematic industry representation, allowing a comprehensive overview of the industry and additionally depicting some of the key interrelationship categorisations that constitute the key factors in decision-making at all levels. Originality/value The value of the research lies in its real-time approach to data gathering and analysis. The research aids in the understanding of the environment components, not simply as individual elements affecting their subject, but as a comprehensive system; demonstrating that it is this exact systemic understanding of the constituent elements that will support and facilitate the proper development of the industry. The research also bears global/generic importance as it provides a rare insight to the issues and complexities of a country having to first deal with the discovery of hydrocarbons in its economic zone.

scholarly journals REAL-TIME ANALYSIS OF LARGE ASTRONOMICAL IMAGES

2012 ◽  
Vol 01 (01) ◽  
pp. 1250005
Author(s):  
K. KUEHN ◽  
R. HUPE
Keyword(s):  
Dark Energy ◽  
Real Time ◽  
Quality Data ◽  
Analysis Tool ◽  
Time Analysis ◽  
Large Area ◽  
Real Time Processing ◽  
Dark Energy Survey ◽  
Real Time Analysis ◽  
Energy Survey

Forthcoming instruments designed for high-cadence large-area surveys, such as the Dark Energy Survey and Large Synoptic Survey Telescope, will generate several GB of data products every few minutes during survey operations. Since such surveys are designed to operate with minimal observer interaction, automated real-time analysis of these large images is necessary to ensure uninterrupted production of science-quality data. We describe a software infrastructure suite designed to support such surveys, focusing particularly on ImageHealth, a tool for near-real-time processing of large images. These image manipulation and analysis algorithms were applied to simulated data from the Dark Energy Survey, as well as observed data collected by the Y4KCam on the CTIO 1 m telescope and the Mosaic camera on the Blanco telescope. The accuracy and speed of the ImageHealth code in particular were benchmarked against results from SourceExtractor, a standard image analysis tool ubiquitous in the astronomical community. ImageHealth is shown to provide comparable accuracy to SourceExtractor when examining bright objects in the focal plane, but with significantly shorter execution time. Based on the importance of real-time analysis in reaching the Dark Energy Survey's science goals, ImageHealth and other aspects of this analysis package were incorporated (in modified form) into the Survey Image System Process Integration, the Dark Energy Camera software control environment. The original ImageHealth code, however, is completely instrument-independent, and is freely available for use within other observational data-taking environments.

scholarly journals Linux Low-Latency Tracing for Multicore Hard Real-Time Systems

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Raphaël Beamonte ◽  
Michel R. Dagenais
Keyword(s):  
Real Time ◽  
Analysis Tool ◽  
Time Behavior ◽  
Real Time Systems ◽  
Real Time System ◽  
The Real ◽  
Real Time Analysis ◽  
Hard Real Time ◽  
Time Systems ◽  
The Impact

Real-time systems have always been difficult to monitor and debug because of the timing constraints which rule out any tool significantly impacting the system latency and performance. Tracing is often the most reliable tool available for studying real-time systems. The real-time behavior of Linux systems has improved recently and it is possible to have latencies in the low microsecond range. Therefore, tracers must ensure that their overhead is within that range and predictable and scales well to multiple cores. The LTTng 2.0 tools have been optimized for multicore performance, scalability, and flexibility. We used and extended the real-time verification tool rteval to study the impact of LTTng on the maximum latency on hard real-time applications. We introduced a new real-time analysis tool to establish the baseline of real-time system performance and then to measure the impact added by tracing the kernel and userspace (UST) with LTTng. We then identified latency problems and accordingly modified LTTng-UST and the procedure to isolate the shielded real-time cores from the RCU interprocess synchronization routines. This work resulted in extended tools to measure the real-time properties of multicore Linux systems, a characterization of the impact of LTTng kernel and UST tracing tools, and improvements to LTTng.

An Interactive Minicomputer Program for the Indexing and Simulation of Electron Diffraction Patterns

1976 ◽  
Vol 34 ◽  
pp. 542-543
Author(s):  
R.P. Goehner ◽  
W.T. Hatfield ◽  
Prakash Rao
Keyword(s):  
Electron Diffraction ◽  
Real Time ◽  
Pattern Analysis ◽  
Flow Diagram ◽  
Hard Copy ◽  
Time Analysis ◽  
Real Time Analysis ◽  
Transmission Electron ◽  
One Step ◽  
Diffraction Patterns

Computer programs are now available in various laboratories for the indexing and simulation of transmission electron diffraction patterns. Although these programs address themselves to the solution of various aspects of the indexing and simulation process, the ultimate goal is to perform real time diffraction pattern analysis directly off of the imaging screen of the transmission electron microscope. The program to be described in this paper represents one step prior to real time analysis. It involves the combination of two programs, described in an earlier paper(l), into a single program for use on an interactive basis with a minicomputer. In our case, the minicomputer is an INTERDATA 70 equipped with a Tektronix 4010-1 graphical display terminal and hard copy unit.A simplified flow diagram of the combined program, written in Fortran IV, is shown in Figure 1. It consists of two programs INDEX and TEDP which index and simulate electron diffraction patterns respectively. The user has the option of choosing either the indexing or simulating aspects of the combined program.

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