TTERCL: An onSite Real-time Alarm Root-Cause Location Algorithm

2021 ◽  
Author(s):  
Jianbing Ding ◽  
Xidong Wang ◽  
Xiaozhou Ye ◽  
Ye Ouyang ◽  
Yuanyuan Chai
Keyword(s):  
Real Time ◽  
Root Cause ◽  
Location Algorithm

Real-Time Burst Signal Removal Using Multicolor Pyrometry Based Filter for Improved Jet Engine Control

2015 ◽  
Vol 137 (8) ◽  
Author(s):  
Guanghua Wang ◽  
Jordi Estevadeordal ◽  
Nirm Nirmalan ◽  
Sean P. Harper
Keyword(s):  
Real Time ◽  
Operating Conditions ◽  
Engine Control ◽  
Jet Engines ◽  
Jet Engine ◽  
Root Cause ◽  
Control Functions ◽  
Wide Range ◽  
Voltage Signal ◽  
And Control

Online line-of-sight (LOS) pyrometer is used on certain jet engines for diagnosis and control functions such as hot-blade detection, high-temperature limiting, and condition-based monitoring. Hot particulate bursts generated from jet engine combustor at certain running conditions lead to intermittent high-voltage signal outputs from the LOS pyrometer which is ultimately used by the onboard digital engine controller (DEC). To study the nature of hot particulates and enable LOS pyrometer functioning under burst conditions, a multicolor pyrometry (MCP) system was developed under DARPA funded program and tested on an aircraft jet engine. Soot particles generated as byproduct of combustion under certain conditions was identified as the root cause for the signal burst in a previous study. The apparent emissivity was then used to remove burst signals. In current study, the physics based filter with MCP algorithm using apparent emissivity was further extended to real-time engine control by removing burst signals at real time (1 MHz) and at engine DEC data rate. Simulink models are used to simulate the performances of the filter designs under engine normal and burst conditions. The results are compared with current LOS pyrometer results and show great advantage. The proposed model enables new LOS pyrometer design for improved engine control over wide range of operating conditions.

The Design of the Clusters Real-Time Positioning System Based on RSSI

2014 ◽  
Vol 668-669 ◽  
pp. 1319-1322
Author(s):  
Xia Zhu ◽  
Yu Lin Zhang ◽  
Yong Bin Ke
Keyword(s):  
Real Time ◽  
Rapid Development ◽  
Indoor Positioning ◽  
Wireless Sensor ◽  
Positioning System ◽  
Reference Node ◽  
Edge Location ◽  
Location Algorithm ◽  
Application Requirements ◽  
Monitoring Software

With the rapid development of wireless communication and wireless sensor network, there are a large number of application requirements of indoor positioning service, so it is very significant to the study of indoor positioning technology. The paper studied the indoor real-time location technology of ZigBee and designed the real-time positioning system, which included gateway, reference node, and blind node, monitoring software of computer and RSSI location algorithm. STM32 was used to control the gateway, which was integrated with ZigBee module and WiFi module. Reference node and blind node were communicated through CC2530.Monitoring system calculated the blind nodes’ coordinate based on the improved three edge location algorithm. Using computer simulate it, the results show that this method has low consumption, the characteristics of high precision, and has certain practical value.

scholarly journals Context-Aware and Class Imbalance Invariant Threat Severity Assessment for Heterogeneous IoT

2021 ◽  
Author(s):  
Nitish A ◽  
J. Hanumanthappa ◽  
Shiva Prakash S.P ◽  
Kirill Krinkin
Keyword(s):  
Real Time ◽  
Large Scale ◽  
Class Imbalance ◽  
Threat Assessment ◽  
Severity Assessment ◽  
Context Aware ◽  
Root Cause ◽  
Network Intrusion ◽  
Classifier Performance ◽  
Learning Machine

<div>Due to demand for information ubiquity and large-scale automation, proliferating Internet-connected heterogeneous devices exhibit significant variations in data processing capacities, purposes, operating principles, underlying protocols, and dynamic contexts. As a result, adversarial entities exploit the increasing heterogeneous network (HetIoT) vulnerabilities, leading to frequent high-impact attacks due to anomalous device interactions and scarce knowledgebase. This paper presents a two-fold solution to the problem through a network intrusion detection and prevention framework for HetIoT, called \textit{HetIoT-NIDPS}. Firstly, we assign fault scores to the Expert-curated Knowledgebase (EK) framework, correlating with low-level alerts to assess threat severity and achieve context-awareness. Secondly, the proposed Beta distribution-based HetIoT traffic behavior approximation facilitates class imbalance invariance and improves classifier performance. Additionally, the HetIoT-NIDPS can detect zero-day attacks by identifying known attack variations upon encountering unseen traffic instances. Furthermore, the dynamic HetIoT contexts necessitate real-time threat assessment through online training---performed by analyzing small batches of network traffic samples. We propound the \textit{CorrELM} classifier based on the extreme learning machine algorithm and test the hypotheses on the Bot-IoT dataset. Finally, we prioritize the correlated alerts based on their severity, determined from root cause analysis and threat severity assessment tables. The results obtained prove that the proposed HetIoT-NIDPS framework is context-aware---producing reduced false alerts, class imbalance invariant---facilitating near real-time threat assessment with unbiased classifier performance, and generalizable---applicable to many NID datasets, which the existing techniques lack when combined.</div>

A novel auditing procedure for an oral chemotherapy process improvement project.

2016 ◽  
Vol 34 (7_suppl) ◽  
pp. 164-164
Author(s):  
Adam Bursua ◽  
R. Alejandro Sica ◽  
Katherine Sencion ◽  
Amer Sidani ◽  
Christina Haaf ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Real Time ◽  
Process Improvement ◽  
Continuous Quality Improvement ◽  
Oral Chemotherapy ◽  
Front Line ◽  
Web Based ◽  
Chemotherapy Drug ◽  
Root Cause ◽  
Continuous Quality

164 Background: A process to standardize ordering, documentation, and administration of inpatient oral chemotherapy was implemented at the University of Illinois Hospital and Health Sciences System. The process requires oncology clinician review and endorsement of inpatient oral chemotherapy drug orders via an oral chemotherapy note within the electronic health record. Pharmacists are instructed to reject oral chemotherapy drug orders that lack this required documentation. A novel auditing procedure was established in order to track adherence to these new requirements and provide real time and adaptable feedback to front-line staff critical to the project’s success. Methods: To support continuous quality improvement (QI) with this project, an auditing tool was developed in REDCap, a secure, web-based data management application. The auditing tool was originally developed as a traditional web-based data collection instrument with the primary purpose of tracking performance. By utilizing more advanced features offered by the REDCap platform, the auditing tool generated automated follow-up surveys to pharmacists involved in non-adherent outlier cases. The survey solicited information on the root cause of non-adherence, and based on the end-user response, provided adaptable continuing education tailored to this root cause. Results: Between June and September 2015, a total of 67 orders for oral chemotherapy were audited. Compliance with process improvement requirements was noted in 58%, 100%, 78%, and 93% of cases in June, July, August, and September, respectively. Outlier surveys were sent to 12 pharmacists in the non-adherent cases; of 11 responses, the most common response reflected an unfamiliarity with the process. Following targeted education, through September 2015, no single pharmacist has been involved in more than one non-adherent case. Conclusions: The novel auditing tool supported the continuous quality improvement process by engaging front-line staff, generating automated and real time surveys for outlier responses, and providing targeted and personalized education aimed at resolving the root cause in non-adherent cases. As such, it can be applied towards any REDCap QI projects.

scholarly journals A high-resolution real-time quantification of astrocyte cytokine secretion under shear stress for investigating hydrocephalus shunt failure

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Fatemeh Khodadadei ◽  
Allen P. Liu ◽  
Carolyn A. Harris
Keyword(s):  
Shear Stress ◽  
Real Time ◽  
Inflammatory Cells ◽  
Cytokine Secretion ◽  
Shunt Failure ◽  
Shear Forces ◽  
Time Intervals ◽  
Cerebrospinal Fluid Flow ◽  
Root Cause ◽  
Stress Dependent

AbstractIt has been hypothesized that physiological shear forces acting on medical devices implanted in the brain significantly accelerate the rate to device failure in patients with chronically indwelling neuroprosthetics. In hydrocephalus shunt devices, shear forces arise from cerebrospinal fluid flow. The shunt’s unacceptably high failure rate is mostly due to obstruction with adherent inflammatory cells. Astrocytes are the dominant cell type bound directly to obstructing shunts, rapidly manipulating their activation via shear stress-dependent cytokine secretion. Here we developed a total internal reflection fluorescence microscopy combined with a microfluidic shear device chip (MSDC) for quantitative analysis and direct spatial-temporal mapping of secreted cytokines at the single-cell level under physiological shear stress to identify the root cause for shunt failure. Real-time secretion imaging at 1-min time intervals enabled successful detection of a significant increase of astrocyte IL-6 cytokine secretion under shear stress greater than 0.5 dyne/cm2, validating our hypothesis and highlighting the importance of reducing shear stress activation of cells.

A New Practical Fault Location Algorithm for Two-Terminal Transmission Lines

2011 ◽  
Vol 383-390 ◽  
pp. 4377-4384
Author(s):  
Zhou Ma ◽  
Xiao Ning Li ◽  
Xiao Ming Zhang
Keyword(s):  
Transmission Line ◽  
Real Time ◽  
Transmission Lines ◽  
Fault Location ◽  
Distributed Parameter ◽  
The Real ◽  
Three Phase ◽  
Transition Resistance ◽  
Location Algorithm ◽  
Real Time Transmission

A new practical fault location algorithm using two-terminal electrical quantities is presented in this article, which takes into account the distributed parameter line model. The analytical expression of algorithm derives from Three-Phase decoupling. First, an analytical synchronization of the unsynchronized measurements is performed with use of the determined synchronization operator and the non-synchronizing angle is calculated with the two-terminal pre-fault electrical quantities. Then, the real-time transmission line parameters are calculated using two-terminal non-synchronized electrical quantities and the non-synchronizing angle. The algorithm overcomes the drawbacks of the traditional fault location algorithms, which does not exist the pseudo-root problem. Besides, it has the advantages of simple, practical, litter computation, no need to search and iterative and robustness. The algorithm has not influenced by fault types, the transition resistance and other factors. At last the developed fault location algorithm is tested using signals of ATP-EMTP versatile simulations of faults on a transmission line.

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