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Article | 03-November-2017

UNCERTAINTY ANALYSIS OF MICRO DIFFERENTIAL PRESSURE SENSOR USING INTERVAL ANALYSIS

A methodology for robust design analysis of micromechanical systems using interval methods is presented by considering piezo resistive micro differential pressure sensor with uncertainty in its parameters. The proposed method guides the design of micro sensor to achieve a robust and reliable design in a most efficient way. The uncertainty analysis is carried out numerically using Coventorware and analytically using Intlab.

M. Shanmugavalli, G. Uma, M. Umapathy

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 3, 463–476

Research Article | 01-March-2017

SPECTRUM SENSING IN COGNITIVE RADIOS UNDER NOISE UNCERTAINTY: DECISION MAKING USING GAME THEORY

Energy detection is best suited for the detection of licensed users when prior knowledge about them is unavailable. However, the presence of noise uncertainty refrains the use of energy detection for spectrum sensing. In this paper, we propose a refined energy detection (RED) which used dual threshold in the presence of noise uncertainty, and combine the concepts from game theory to achieve further performance improvements. The secondary user payoff is defined based on the primary user activity

K. Muthumeenakshi, S. Radha

International Journal on Smart Sensing and Intelligent Systems, Volume 10 , ISSUE 1, 146–173

Article | 01-June-2016

EXPERIMENTAL AND THEORETICAL VALIDATION METHOD FOR ESTIMATION OF STRAIGHTNESS DEVIATION AND ASSOCIATED UNCERTAINTY IN CNC-CMM MEASUREMENT

Geometrical deviation in intelligent metrology system is an important factor in precision engineering. Estimating the deviation and associated uncertainty in straightness feature remains a necessary requirement to ensure highly accurate metrology method especially in CNC-CMM measurement. Optimization in straightness measurement using soft algorithm techniques is a widely encountered solution in coordinate metrology. In this work, straightness deviation has been measured precisely in 2D and in

Salah H.R. Ali, M.A.H. Khalafalla, Ihab H. Naeim, Sarwat Z.A. Zahwi

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 397–418

Review | 03-November-2017

UNCERTAINTY ANALYSIS OF STRAIN GAGE CIRCUITS: INTERVAL METHOD AND INTERVAL ALGORITHM

This paper presents uncertainty analysis of a strain gage based instrumentation systems. This has been carried out by interval method and classical methods and is verified by the mean value algorithm based on interval arithmetic. The quarter, half and full bridge configuration of strain gage based circuits are considered to illustrate the analysis.

B. Vasuki, M. Umapathy, A. R. Senthilkumarr

International Journal on Smart Sensing and Intelligent Systems, Volume 2 , ISSUE 3, 477–489

Article | 01-September-2015

MODELLING OF EQUIPMENT FAILURE RATE ACCOUNTING FOR THE UNCERTAINTY

A fuzzy model for failure rate with the consideration of the effects of uncertain factors in distribution reliability evaluation is presented. The possibility and credibility distribution analyzed on the basis of sample datum are used for quantifying effects of the uncertainty done to failure rate. Mathematically, the failure rate can be obtained in the interval integration. Moreover, aiming to make the calculating quantity of system reliability evaluation simple and easy, the fuzzy clustering

H.X. Tian, W.F Wu, P. Wang, H.Z. Li

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 3, 1484–1504

Research paper | 12-December-2017

Robust Fusion Algorithms for Linear Dynamic System with Uncertainty

In this paper, two robust fusion algorithms for a linear system with observation uncertainty are proposed. The first algorithm is based on the classical median function and the second one uses relative distances between local estimates and their median value. In the view of estimation accuracy, the proposed fusion algorithms can be robust against uncertainty measurements since median can avoid extremely big or small values. This fact is verified from comparative analysis using numerical

Inhea Beak, Seokhyoung Lee, Vladimir Shin

International Journal on Smart Sensing and Intelligent Systems, Volume 3 , ISSUE 2, 146–155

Research paper | 20-February-2013

DATA FUSION ALGORITHM OF FAULT DIAGNOSIS CONSIDERING SENSOR MEASUREMENT UNCERTAINTY

This paper presents data fusion algorithm of fault diagnosis considering sensor measurement uncertainty. Random-fuzzy variables (RFV) are used to model testing patterns (TPs) and fault template patterns (FTPs) respectively according to on-line sensor monitoring data and typical historical sensor data reflecting every fault mode. A similarity measure is given to calculate matching degree between a TP and each FTP in fault database such that Basic Probability Assignment (BPA) can be obtained by

Xu Xiaobin, Zhou Zhe, Wen Chenglin

International Journal on Smart Sensing and Intelligent Systems, Volume 6 , ISSUE 1, 171–190

Article | 01-June-2015

METHOD OF OPTIMAL MEASUREMENT STRATEGY FOR ULTRA-HIGH-PRECISION MACHINE IN ROUNDNESS NANOMETROLOGY

effective. Moreover, expanded uncertainty in measurement has been estimated and confirmed the degree of confidence for the proposed method.

Salah H. R. Ali

International Journal on Smart Sensing and Intelligent Systems, Volume 8 , ISSUE 2, 896–920

Article | 01-March-2016

ADAPTIVE INTELLIGENT INVERSE CONTROL OF NONLINEAR SYSTEMS WITH REGARD TO SENSOR NOISE AND PARAMETER UNCERTAINTY (MAGNETIC BALL LEVITATION SYSTEM CASE STUDY)

training rate is used. Finally, three methods including online adaptive inverse controller based on IT2-NTSK-FNN, IT2-TSK-FNN (linear consequent part) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are employed to control of a magnetic ball levitation system. External disturbances and uncertainty in parameters are considered in the model of magnetic ball levitation system. Simulation results show the efficacy of the proposed method.

Yaghoub Pour Asad, Afshar Shamsi, Hoda Ivani, Jafar Tavoosi

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 148–169

Research Article | 21-April-2017

Robust p-median problem in changing networks

The robust p-median problem in changing networks is a version of known discrete p-median problem in network with uncertain edge lengths where uncertainty is characterised by given interval. The uncertainty in edge lengths may appear in travel time along the edges in any network location problem. Several possible future scenarios with respect to the lengths of edges are presented. The planner will want a strategy of positioning p medians that will be working “as well as possible" over the future

Štefan PEŠKO, Tomáš MAJER

Transport Problems, Volume 10 , ISSUE 3, 125–130

Article | 28-August-2018

ESTIMATION OF THE SEASONAL DEMAND FOR COOLING BASED ON THE SHORT-TERM DATA

results. The presented analysis concerns the uncertainty of estimation the seasonal demand for cooling and ventilation of the building based on monthly and 14-day data. The objective was to choose the shortest possible time period in order to obtain proper accuracy. It has been shown that the H-m method cannot be used to estimate cooling demand based on short-term (monthly or 14-days) data due to unacceptable uncertainty of results.

Dorota BARTOSZ, Aleksandra SPECJAŁ

Architecture, Civil Engineering, Environment, Volume 10 , ISSUE 2, 133–143

Article | 17-April-2020

Time in the shelter: Asylum, destitution and legal uncertainty

-sixties, Naveed had spent years living precariously in the UK as an asylum seeker and then refused asylum seeker before arriving in the night shelters where he would spend three months sleeping on a different church floor each night of the week. Just like his arrival, Naveed’s departure from the shelters would be clouded in legal uncertainty. The Longsight Community Church is one of seven night shelters operated by the Boaz Trust, a local faith-based organisation that provides housing, emergency

Mark Justin Rainey

Borderlands, Volume 18 , ISSUE 2, 138–164

Research Article | 27-December-2017

PARETO OPTIMAL ROBUST FEEDBACK LINEARIZATION CONTROL OF A NONLINEAR SYSTEM WITH PARAMETRIC UNCERTAINTIES

A. Hajiloo, M. samadi, N. Nariman-Zadeh

International Journal on Smart Sensing and Intelligent Systems, Volume 7 , ISSUE 1, 214–237

Research Article | 21-April-2017

A framework for categorizing risks in High Speed Train (HST) projects: the example of the first HST in Brazil

effects on the project. This process should consider the project uncertainty elements in order to generate specific results. In the case of HST projects, examples of uncertainty elements are: politics, economy, environment, human resources and technology. Therefore, this study aims to present a framework for categorizing risks to be used in HST projects. Also, for each category proposed some risk examples are suggested. An overview of the first Brazil HST project is showed and the risk framework is

Viviane GRUBISIC, Elisete ZAGHENI, Yesid ASAFF, Acires DIAS

Transport Problems, Volume 10 , ISSUE SE, 37–46

Article | 07-May-2018

The Remote Control System Based on the Virtual Reality

Aiming at the issues of random delay and delay uncertainty of the control information network, a kind of network remote closed-loop control structure based on virtual reality simulation is proposed. The method in accordance with the idea of open-loop system to achieve closed-loop control make the influence of network latency excluded real-time little closed-loop control system of controlled object value and no effect on the characteristics of the controlled object. Simulation results show that

Su Xiaohui, Dong Qiyu, Huang Mengyao, Xu Shuping

International Journal of Advanced Network, Monitoring and Controls, Volume 3 , ISSUE 2, 22–27

Article | 30-November-2018

Research of Network Closed-loop Control System Based on the Model Predictive Control

Bushnel in the literature [10] to prove this method and conclusions can applicable equally to linear systems. Goktas in the literature [11] saw τsc and τca as a multiplicative uncertainty bounded perturbation and provided the method of use robust control theory design of NCS controller in frequency domain. Studied robust passive control problem of class of long delay networked control systems in the literature [12], and derive the passive controller design method and proved the validity of the method

Xu Shuping, Wang Shuang, Guo yu, Su Xiaohui

International Journal of Advanced Network, Monitoring and Controls, Volume 4 , ISSUE 4, 30–37

Article | 01-June-2016

ERRORS OF MANOMETRIC CO2 SORPTION EXPERIMENTS ON COAL CAUSED BY ACCURACY OF PRESSURE SENSOR

Jiang Renxia, Yu Hongguan, Wang Li, Chen Lihui

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 468–490

Research Article | 01-December-2011

Type-2 Fuzzy Kalman Hybrid Application for Dynamic Security Monitoring Systems based on Multiple Sensor Fusion

next state estimates of agent(s) in uncertain environment. Finally, our proposed system transforms system state to be able to make a security awareness decision, using type-2 fuzzy logic system to handle exhibited uncertainty, for asset scenery under surveillance. It is shown that the system performance can exhibit promising improvements for this dynamic security monitoring situation as a result of using the above complementary heterogeneous set of sensors.

T. K. Dakhlallah, M. A. Zohdy, O.M. Salim

International Journal on Smart Sensing and Intelligent Systems, Volume 4 , ISSUE 4, 607–629

Article | 08-April-2018

The Research of Information Delay in the Neural Network Forecast Remote Control System

Aiming at the issues of random delay and delay uncertainty in both the before channel and feedback channel for network control system, the root causes of random delay influence closed-loop control system by case is analysis, and the predictive control method based on neural network to solve the feasibility of existence network random delay in control system closed-loop control has provided. Simulation results show that the method can reflect and predict the delay characteristics of between

Xu Shuping, Chen Yiwei, Cheng Xinhua, Su Xiaohui

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 1, 38–48

Article | 30-November-2020

Research of Forecasting Information Time Delays with Nenural Network in Telecontrol System

system only needs to design a compensator, the system design is simplified and uses the smith compensator to compensate control to improve system quality. To the uncertainty of network delay, use buffering techniques in the site control computer to convert the uncertain time delay into a fixed delay, even without network delay prediction can also to achieve better control effect. Literature [5] uses the hydraulic system as the controlled object; there are challenging researches on the remote control

Xu Shuping, Wu Jinfe, Su Xiaohui, Xiong Xiaodun

International Journal of Advanced Network, Monitoring and Controls, Volume 6 , ISSUE 1, 1–10

Article | 01-December-2012

Probabilistic Joint State Estimation of Robot and Non-static Objects for Mobile Manipulation

utilized for efficient joint estimation and laser sensing based smooth observation model is also introduced. The resulting algorithm works in real-time and estimates the position of people and state of doors with sufficient precision. Our approach has been tested in typical indoor environment with people, doors and other non-static objects. Experimental results demonstrate the favorable performance of the position estimation accuracy as well as the capability to deal with the uncertainty of mobile

Kun Qian, Xudong Ma, Xian Zhong Dai, Fang Fang, Bo Zhou

International Journal on Smart Sensing and Intelligent Systems, Volume 5 , ISSUE 4, 1081–1096

Article | 01-June-2016

A MACHINE VISION SYSTEM FOR ESTIMATION OF THEAFLAVINS AND THEARUBIGINS IN ORTHODOX BLACK TEA

certain uncertainty or ambiguity that may arise during quality assessment of tea by the tea tasters. In this paper, a new method for rapid measurement of concentration of TF and TR is described using a machine vision system taking images of tea liquor and employing artificial neural networks (ANN). The results show good correlation of estimated values of TF and TR with the actual concentrations obtained using ultraviolet-visible spectrophotometer (UV-VIS).

Amitava Akuli, Abhra Pal, Gopinath Bej, Tamal Dey, Arunangshu Ghosh, Bipan Tudu, Nabarun Bhattacharyya, Rajib Bandyopadhyay

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 2, 709–731

Article | 21-April-2019

When the walls have fallen: Socially just leadership in post-traumatic times

Although educational researchers and theorists accept that there is a degree of ambiguity and uncertainty endemic to organizational life, school leaders in democratic countries tend to address issues through the use of strategies structured to take place within a stable environment. However, many would argue that such stability is a false perception. Traumatic events can occur at any time and at any place. Every country might one day find itself having to cope with the after-effects of

Tim Goddard

Journal of Educational Leadership, Policy and Practice, Volume 30 , ISSUE 1, 106–118

Article | 05-September-2021

Robust Bayesian insurance premium in a collective risk model with distorted priors under the generalised Bregman loss

square-error, LINEX, weighted square error, Brown, entropy loss. Some uncertainty about a prior is assumed by a distorted band class of priors. The range of collective and Bayes premiums is calculated and posterior regret Γ-minimax premium as a robust procedure has been implemented. Two examples are provided to illustrate the issues considered - the first one with an unknown parameter of the Poisson distribution, and the second one with unknown parameters of distributions of the number and

Agata Boratyńska

Statistics in Transition New Series, Volume 22 , ISSUE 3, 123–140

Article | 06-July-2017

THE GLUEVAR RISK MEASURE AND INVESTOR’S ATTITUDES TO RISK– AN APPLICATION TO THE NON-FERROUS METALS MARKET

Investing in the economic world, characterized by a high level of uncertainty and volatility, entails a higher level of risk related to investment. One of the most commonly used risk measure is Value-at-Risk. However, despite the ease of calculation and interpretation, this measure suffers from a significant drawback – it is not subadditive. This property is the key issue in terms of portfolio diversification. Another risk measure, which meets this assumption, has been proposed – Conditional

Dominik Krężołek

Statistics in Transition New Series, Volume 17 , ISSUE 2, 305–316

Article | 01-March-2016

NEW ADAPTIVE SLIDING-MODE OBSERVER DESIGN FOR SENSORLESS CONTROL OF PMSM IN ELECTRIC VEHICLE DRIVE SYSTEM

In this study, a new adaptive sliding-mode observer is proposed to estimate the rotor position and speed for sensorless control of permanent-magnet synchronous motor (PMSM) in an electric vehicle drive system. This observer can effectively reduce the estimation errors caused by the inherent chattering phenomenon for a conventional sliding-mode observer and the stator resistance uncertainty due to the variation of motor temperature. This new sliding-mode observer is designed by using a

Xiong Xiao, Yongjun Zhang, Jing Wang, Haiping Du

International Journal on Smart Sensing and Intelligent Systems, Volume 9 , ISSUE 1, 377–396

Article | 20-December-2020

Predicting Polish transport industry equilibrium characteristics as an inverse problem: An Entropy Econometrics Model

The business environment dynamics is governed by a high degree of uncertainty and risk; consequently, in a majority of cases investors face serious difficulties when making business decisions. Additionally, when detailed statistical information relating to industry is missing, any decisions may become a matter of highly risky conjectures. The present article proposes a simultaneous equation model based on the entropy econometrics estimator for recovering some key industrial subsector long-term

Second Bwanakare, Marek Cierpiał-Wolan

Statistics in Transition New Series, Volume 21 , ISSUE 5, 179–191

Article | 09-August-2018

PERTURBATION NUMBERS – EVALUATION OF THE INFLUENCE OF THE UNCERTAINTY OF PARAMETERS ON UNIDIRECTIONAL TEMPERATURE DISTRIBUTION IN A PLATE  

Agnieszka Winkler-Skalna

Architecture, Civil Engineering, Environment, Volume 9 , ISSUE 1, 95–100

Research Article

Detecting Change in Longitudinal Social Networks

connections among members of al Qaeda based on open source, and the fourth data set is simulated using multi-agent simulation. The results indicate that this approach is able to detect change even with the high levels of uncertainty inherent in these data.

Ian McCulloh, Kathleen M. Carley

Journal of Social Structure, Volume 12 , ISSUE 1, 1–37

research-article | 30-November-2020

Chaos from order: a network analysis of in-fighting before and after El Chapo’s arrest

arrest increased the reputational cost to cartels and militias for appearing weak; and El Chapo’s detention did not change uncertainty about the balance of power among cartels. The rest of the paper is organized around four sections. First, I review the literature on leadership decapitation and derive testable hypotheses. In the second section I outline the research design. The third section presents the results, and the final section is a discussion of and conclusions from the results. Leadership

Darren Colby

Connections, Volume 41 , ISSUE 1, 1–11

Case report | 10-January-2018

The lived experience of adults with myasthenia gravis: A phenomenological study

relationships with others. The findings of this study highlight three main themes embedded in the data that a person with MG experiences: living with uncertainty, living with weakness and living with change. These experiences have been interpreted and discussed to gain a deep understanding of the meaning of the disease. This study raises awareness of MG for neuroscience nurses and provides a unique view of this disease.

Trudy Keer-Keer

Australasian Journal of Neuroscience, Volume 25 , ISSUE 1, 40–46

rapid-communication | 31-March-2020

Internet-based digital video atlas of sonographic findings for clinical and educational purposes

Daniel Merkel, Christoph Schneider, Michael Ludwig

Journal of Ultrasonography, Volume 20 , ISSUE 80, e24–e28

Research Article | 31-March-2017

Using behavioural insights for citizen compliance and cooperation

have been used: tax collection where government policy is compulsory (i.e. requiring compliance), and energy use where social objectives are non-compulsory, and achieved more by persuasion and encouragement. Processes of modifying and changing behaviour require different approaches whether the change is deemed necessary by the state or not. In taxes, the sole use of enforcement is rarely efficacious, whereas increasing the uncertainty of follow-up and audit increases compliance. Offering discounts

Peter John, Jane Robb

Evidence Base, Volume 2017 , ISSUE 1, –

Article | 20-December-2020

Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction

expected value, but also the variance to determine the uncertainty of the prediction, or we can use the entire distribution for, e.g. more accurate further calculations or generating random values. 10-fold cross-validation log-likelihood tests were conducted for 22 DAX companies, leading to very accurate predictions, especially when individual models were used for each company, as significant differences were found between their behaviours. An additional advantage of using this methodology is that it

Jarosław Duda, Henryk Gurgul, Robert Syrek

Statistics in Transition New Series, Volume 21 , ISSUE 5, 99–118

Research Article | 30-November-2015

Are Autistic Traits in Youth Meaningful? A Replication study in Non-referred Siblings of Youth with and without Attention-Deficit/Hyperactivity Disorder

We previously described the high prevalence and burden of significant autistic traits (ATs) in youth with attention-deficit/hyperactivity disorder (ADHD). These traits are associated with significantly greater impairment in psychopathological, interpersonal, educational, and neuropsychological functioning. Because the sample consisted of referred ADHD youth, uncertainty remained regarding whether these findings are generalizable to non-referred populations of youths with and without ADHD.The

Joseph Biederman, Maura Fitzgerald, Stephen V. Faraone, Ronna Fried, K. Yvonne Woodworth, Alexandra Saunders, Kristina Conroy, Gagan Joshi

Scandinavian Journal of Child and Adolescent Psychiatry and Psychology, Volume 4 , ISSUE 2, 77–87

Research Communicate | 27-May-2018

SOME RESULTS FROM THE 2013 INTERNATIONAL YEAR OF STATISTICS

Jan Kordos

Statistics in Transition New Series, Volume 19 , ISSUE 1, 149–158

Article | 27-April-2020

Is there a relationship between anti-HPA-1a concentration and severity of neonatal alloimmune thrombocytopenia?

There is uncertainty about the relationship between anti-HPA-1a levels and severity of neonatal alloimmune thrombocytopenia (NAIT). To investigate this relationship further,the concentration of anti-HPA-1a in HPA-1b homozygous women was determined,using a newly developed quantitative ELISA that uses purified anti-HPA-1a to obtain a standard curve. Seventy-eight samples collected from 22 HPA-1b homozygous pregnant women at various stages of pregnancy were tested. These included five women who

Hagop Bessos, Marc L. Turner, Stanislaw J. Urbaniak

Immunohematology, Volume 21 , ISSUE 3, 102–108

Research Article | 26-December-2016

Managing Madness: Mental Health and Complexity in Public Policy

attempting more holistic management approaches, combining clinical care, community support, housing, employment and other services. This paper considers some of these new models in the light of existing evidence. The key challenge facing continued reform in mental health is not uncertainty regarding programs or services, but rather how to drive coordinated care for consumers across departments, governments and providers. This review will highlight the key changes that must be made for the benefit of the

Sebastian Rosenberg, Ian Hickie

Evidence Base, Volume 2013 , ISSUE 3, 1–19

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