scholarly journals Tracking a Decentralized Linear Trajectory in an Intermittent Observation Environment

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 2127
Author(s):  
Wasi Ullah ◽  
Irshad Hussain ◽  
Iram Shehzadi ◽  
Zahid Rahman ◽  
Peerapong Uthansakul
Keyword(s):  
Tracking System ◽  
Fault Detection And Isolation ◽  
Sensor Data ◽  
Processing Unit ◽  
Tracking Systems ◽  
Multiple Faults ◽  
Different Types ◽  
Core Issues ◽  
Types Of Faults

Faults and failures are familiar case studies in centralized and decentralized tracking systems. The processing of sensor data becomes more severe in the presence of faults/failures and/or noise. Effective schemes have been presented for decentralized systems, in the presence of faults only. In some practical scenarios of systems, there are certain interruptions in addition to these faults. These interruptions may occur in the form of noise. However it is expected that the decision about the sensor data is difficult in the presence of noise. This is because the noise adversely affects the communication amongst sensors and the processing unit. More complexity is expected when there are faults and noise simultaneously. To deal with this problem, in addition to existing fault detection and isolation schemes, the Kalman filter is employed. Here, a generic discussion is provided, which is equally applicable to other situations. This work addresses various faults in the presence of noise for decentralized tracking systems. Local single faults and multiple faults in the presence of noise are the core issues addressed in this paper. The proposed work is comprised of a general scenario for a decentralized tracking system followed by a case study of a target tracking scenario with and without noise. The presented schemes are also tested for different types of faults. The proposed work presents effective tracking in the presence of noise and faults. The results obtained demonstrate the acceptable performance of the scheme of this work.

A Practical Approach for Dynamic Taint Tracking with Control-flow Relationships

2022 ◽  
Vol 31 (2) ◽  
pp. 1-43
Author(s):  
Katherine Hough ◽  
Jonathan Bell
Keyword(s):  
Tracking Control ◽  
State Of The Art ◽  
Tracking System ◽  
Control Flow ◽  
Tracking Systems ◽  
Alternative Semantics ◽  
Automated Debugging ◽  
Data Flows ◽  
Taint Tracking

Dynamic taint tracking, a technique that traces relationships between values as a program executes, has been used to support a variety of software engineering tasks. Some taint tracking systems only consider data flows and ignore control flows. As a result, relationships between some values are not reflected by the analysis. Many applications of taint tracking either benefit from or rely on these relationships being traced, but past works have found that tracking control flows resulted in over-tainting, dramatically reducing the precision of the taint tracking system. In this article, we introduce Conflux , alternative semantics for propagating taint tags along control flows. Conflux aims to reduce over-tainting by decreasing the scope of control flows and providing a heuristic for reducing loop-related over-tainting. We created a Java implementation of Conflux and performed a case study exploring the effect of Conflux on a concrete application of taint tracking, automated debugging. In addition to this case study, we evaluated Conflux ’s accuracy using a novel benchmark consisting of popular, real-world programs. We compared Conflux against existing taint propagation policies, including a state-of-the-art approach for reducing control-flow-related over-tainting, finding that Conflux had the highest F1 score on 43 out of the 48 total tests.

scholarly journals Comprehensive Methodology to Evaluate Parasitic Energy Consumption for Different Types of Dual-Axis Sun Tracking Systems

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ming-Hui Tan ◽  
Tze-Koon Wang ◽  
Chee-Woon Wong ◽  
Kok-Keong Chong ◽  
Boon-Han Lim ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Energy Loss ◽  
Tracking System ◽  
Electrical Energy ◽  
Photovoltaic System ◽  
The Sun ◽  
Tracking Systems ◽  
Optical Efficiency ◽  
Different Types ◽  
Energy Consumptions

A dual-axis sun tracking system is an essential strategy to maximize the optical efficiency of harnessing solar energy. However, there is no significant study yet to optimize the net performance of the photovoltaic (PV) or concentrator photovoltaic (CPV) system equipped with a dual-axis sun tracking system. Parasitic energy loss associated with the power consumption of the sun tracking system is one of the major concerns for the solar industrial players. To address this issue, a comprehensive methodology has been developed to evaluate the yearly cumulative range of motion for dual-axis sun tracking systems in the cases of with and without fixed parking positions across the latitudes ranging from 45°N to 45°S. The parasitic energy consumptions have been investigated for three selected types of dual-axis sun tracking systems, i.e., the azimuth-elevation sun tracking system (AE-STS), polar dual-axis sun tracking system (PD-STS), and horizontal dual-axis sun tracking system (HD-STS). The simulated results indicate that the dual-axis sun tracking system with the nonfixed parking (or stow) position has lower yearly cumulative parasitic energy consumption with respect to the sun tracking system with a fixed parking position. Lastly, our simulation result has shown that the parasitic energy consumption of the sun tracking is relatively smaller to that of the electrical energy generated by the concentrator photovoltaic system with the ratio between 0.15% and 0.29% for AE-STS, between 0.15% and 0.30% for PD-STS, and between 0.17% and 0.35% for HD-STS.

scholarly journals Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5893
Author(s):  
Jerzy Baranowski ◽  
Katarzyna Grobler-Dębska ◽  
Edyta Kucharska
Keyword(s):  
Functional Data ◽  
Monte Carlo Analysis ◽  
Data Depth ◽  
Different Types ◽  
Signal Type ◽  
Short Circuits ◽  
Power And Energy Systems ◽  
Power And Energy ◽  
Types Of Faults

Diagnostics of power and energy systems is obviously an important matter. In this paper we present a contribution of using new methodology for the purpose of signal type recognition (for example, faulty/healthy or different types of faults). Our approach uses Bayesian functional data analysis with data depths distributions to detect differing signals. We present our approach for discrimination of pole-to-pole and pole-to-ground short circuits in VSC DC cables. We provide a detailed case study with Monte Carlo analysis. Our results show potential for applications in diagnostics under uncertainty.

scholarly journals MODERN PENSION TRACKING SYSTEM – THE CASE OF SLOVAK ORANGE ENVELOPE PLATFORM

2021 ◽  
Author(s):  
Daniela Danková ◽  
◽  
Ján Šebo ◽  
Ivan Králik ◽  
◽  
...  
Keyword(s):  
Tracking System ◽  
Good Practice ◽  
Research Front ◽  
Tracking Systems ◽  
Eu Member States ◽  
Key Aspects ◽  
Short Time ◽  
Term Objective

European Commission has a long-term objective of tackling the demographic issues of EU member states by creating a network of national pension tracking systems. The initiative launched in 2021 aims to present good practices in building modern pension tracking systems. The paper examines key aspects of a modern, consumer-driven non-governmental platform providing users with the features of pension entitlements across all pension pillars in Slovakia. The methodology is built on the case-study where governance, research, front-end and data management issues are elaborated. The paper presents in-depth steps and robustness of microsimulation model applied for the pension tracking platform. The results could serve for other countries and modern PensionTech providers as a good practice and a guideline to create a comprehensive integrated pension tracking system with minimum development and operational costs and extremely short time-to-market duration.

scholarly journals Multiple Fault Identification Method in the Frequency Domain for Rotor Systems

2002 ◽  
Vol 9 (4-5) ◽  
pp. 203-215 ◽  
Author(s):  
Nicolò Bachschmid ◽  
Paolo Pennacchi
Keyword(s):  
Power Plant ◽  
Numerical Simulations ◽  
Frequency Domain ◽  
Rotor System ◽  
Fault Identification ◽  
Multiple Fault ◽  
Multiple Faults ◽  
Rotor Systems ◽  
Different Types ◽  
Types Of Faults

Fault identification in rotor systems has been studied by many authors, but the considered malfunction is one single fault only, generally an unbalance. Real machines can be affected by several different types of faults; moreover sometimes also two different faults may develop simultaneously. A model based method for identifying multiple faults acting simultaneously on a rotor system in the frequency domain is briefly described and its robustness with regards to measuring and modelling errors is evaluated, by means of numerical simulations performed on the models of two typical power plant machines: a steam turbogenerator and a gas turbogenerator.

An integrated multidomain functional failure and propagation analysis approach for safe system design

2013 ◽  
Vol 27 (4) ◽  
pp. 317-347 ◽  
Author(s):  
Chetan Mutha ◽  
David Jensen ◽  
Irem Tumer ◽  
Carol Smidts
Keyword(s):  
System Design ◽  
System Development ◽  
Design Analysis ◽  
Domain Specific ◽  
Design Representation ◽  
Analysis Technique ◽  
Propagation Analysis ◽  
Different Types ◽  
Types Of Faults

AbstractEarly system design analysis and fault removal is an important step in the iterative design process to avoid costly repairs in the later stages of system development. System complexity is increasing with increased use of software to control the physical system. There is a dearth of techniques to evaluate inconsistencies, incompatibility, and fault proneness of the system design in an integrated manner. The early design analysis technique presented in this paper aids a designer to understand the interplay between the multifaceted components and evaluate his/her design in an integrated manner. The technique allows simultaneous propagation of different types of faults from various domains and evaluates their functional impact over a period of time. The structure of the technique is explained using domain-specific conceptual metamodels, whereas the execution is based on the event sequence diagram, which is one of the established reliability and safety analysis techniques. One of the notable features of the proposed technique is the object-oriented nature of the system design representation. The technique is demonstrated with the help of a case study, and the execution results of two scenarios are evaluated to demonstrate the analysis capability of the proposed technique.

GPS and GSM Based Tracking System for Objects Moving over Wide Geographical Areas

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Fatima Ameen ◽  
Ziad Mohammed ◽  
Abdulrahman Siddiq
Keyword(s):  
Global Positioning System ◽  
Mobile Communications ◽  
Moving Objects ◽  
Tracking System ◽  
Geographical Area ◽  
Tracking Systems ◽  
Acceptable Result ◽  
Internet Service ◽  
Global Positioning ◽  
Tracking Objects

Tracking systems of moving objects provide a useful means to better control, manage and secure them. Tracking systems are used in different scales of applications such as indoors, outdoors and even used to track vehicles, ships and air planes moving over the globe. This paper presents the design and implementation of a system for tracking objects moving over a wide geographical area. The system depends on the Global Positioning System (GPS) and Global System for Mobile Communications (GSM) technologies without requiring the Internet service. The implemented system uses the freely available GPS service to determine the position of the moving objects. The tests of the implemented system in different regions and conditions show that the maximum uncertainty in the obtained positions is a circle with radius of about 16 m, which is an acceptable result for tracking the movement of objects in wide and open environments.

Multiple faults detection and isolation approach applied to a kraft recovery boiler

TAPPI Journal ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 33-41
Author(s):  
YVON THARRAULT ◽  
MOULOUD AMAZOUZ
Keyword(s):  
Fault Detection ◽  
Early Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Principal Component ◽  
Fault Isolation ◽  
Fault Detection And Isolation ◽  
Detection Scheme ◽  
Multiple Faults ◽  
Recovery Boiler

Recovery boilers play a key role in chemical pulp mills. Early detection of defects, such as water leaks, in a recovery boiler is critical to the prevention of explosions, which can occur when water reaches the molten smelt bed of the boiler. Early detection is difficult to achieve because of the complexity and the multitude of recovery boiler operating parameters. Multiple faults can occur in multiple components of the boiler simultaneously, and an efficient and robust fault isolation method is needed. In this paper, we present a new fault detection and isolation scheme for multiple faults. The proposed approach is based on principal component analysis (PCA), a popular fault detection technique. For fault detection, the Mahalanobis distance with an exponentially weighted moving average filter to reduce the false alarm rate is used. This filter is used to adapt the sensitivity of the fault detection scheme versus false alarm rate. For fault isolation, the reconstruction-based contribution is used. To avoid a combinatorial excess of faulty scenarios related to multiple faults, an iterative approach is used. This new method was validated using real data from a pulp and paper mill in Canada. The results demonstrate that the proposed method can effectively detect sensor faults and water leakage.

Participatory Mapping in Browns Canyon National Monument, Colorado (USA)

2017 ◽  
Vol 1 (1) ◽  
pp. 1-16
Author(s):  
John Harner ◽  
Lee Cerveny ◽  
Rebecca Gronewold
Keyword(s):  
Land Management ◽  
Planning Process ◽  
Management Plan ◽  
Bureau Of Land Management ◽  
National Monument ◽  
Resource Managers ◽  
Different Types ◽  
Us Forest Service ◽  
Natural Resource Managers

Natural resource managers need up-to-date information about how people interact with public lands and the meanings these places hold for use in planning and decision-making. This case study explains the use of public participatory Geographic Information System (GIS) to generate and analyze spatial patterns of the uses and values people hold for the Browns Canyon National Monument in Colorado. Participants drew on maps and answered questions at both live community meetings and online sessions to develop a series of maps showing detailed responses to different types of resource uses and landscape values. Results can be disaggregated by interaction types, different meaningful values, respondent characteristics, seasonality, or frequency of visit. The study was a test for the Bureau of Land Management and US Forest Service, who jointly manage the monument as they prepare their land management plan. If the information generated is as helpful throughout the entire planning process as initial responses seem, this protocol could become a component of the Bureau’s planning tool kit.

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