Uncertainty Research Articles

DIAGNOSING THE FORMATIONOF THE PROCEDURAL CRITERION OF THE CREATIVE ACTIVITY EXPERIENCE OF JUNIOR SCHOOLCHILDREN

In modern society, there is a constant acceleration of social processes, which entails the uncer tainty and unpredictability. This situation requires the abandonment of standard algorithms and usual actions in favorof using non-standard approaches to solve the assigned problems. In lightof these changes, pedagogical science and educational practice pay special attention to preparing the younger generationfor the complexities and challengesof modern society through developing creative experience in students already at the initial stage of general education.The purpose of this study is to identif y the level of formation of the procedural criterion of the experience of creative activity of junior schoolchildren. Ithas been established that the core indicators of the element being studied are the ability to search for information, establish cause-and-ef fect relationships, and use existing knowledge in conditions of transformation; the ability tosee various options for getting outof the current situation, find the most ef fective way to solve emerging problems independently.The “Diagnostics of Creative Thinking” method by J. Guilford and P. Torrance, modernized by E. E. Tunik and improved by R. V. Ovcharova, is defined as a diagnostictool that determines the dynamics of the formation of the phenomenon under study.Based on the results of an experiment conducted on the basis of educational institutions of the Republic of Mordovia («Gymnasium No. 23» and «GymnasiumNo. 20»), three groups of respondents were identified with high, medium and low levels of development of the procedural criterion for the experience of creative activityof junior schoolchildren.

Thinking Through Affective Uncertainty: What Does it Do, and How is it Relevant to Our Contemporary Moment?

How is affective uncertainty produced in art and performance? What does it do as a dramaturgical tool and artistic strategy? The text discusses a politically engaged theatre performance, Your Majesties by Navaridas & Deutinger, and the different strategies used to produce affective uncer tainty and ambivalence in its spectators. This uncertainty can be understood as an unsettlement, and as a tension fraught atti tude that might lead to 'ugly feelings' and suspended agency (Ngai 2005). How do we as spectators navigate our own uncertainties and ambivalence? This entails attentive lis tening to the voices saturating the complex theme, and to tensions causing our uncer tainties. Such affective conditions, however, might also carry a critical potential—useful for navigating our contemporary moment and its many urgencies. The article will also discuss how affective uncertainty ties in with the so called affective turn. in contemporary art and theatre. This was prompted by an interest to study its performative qualities, as well as to take a closer look at what the critical potential of spectator experiences of uncertainty might be. As the title of this essay already shows, this text is guided by the question: What does affective uncertainty do (as a drama turgical and artistic strategy), and how is it relevant to our contemporary moment? To answer this, I will draw on an example from the field of politically engaged contempo rary theatre.

Evaluating probabilistic classifiers: The triptych

Probability forecasts for binary outcomes, often referred to as probabilistic classifiers or confidence scores, are ubiquitous in science and society, and methods for evaluating and comparing them are in great demand. We propose and study a triptych of diagnostic graphics focusing on distinct and complementary aspects of forecast performance: Reliability curves address calibration, receiver operating characteristic (ROC) curves diagnose discrimination ability, and Murphy curves visualize overall predictive performance and value. A Murphy curve shows a forecast’s mean elementary scores, including the widely used misclassification rate, and the area under a Murphy curve equals the mean Brier score. For a calibrated forecast, the reliability curve lies on the diagonal, and for competing calibrated forecasts, the ROC and Murphy curves share the same number of crossing points. We invoke the recently developed CORP (Consistent, Optimally binned, Reproducible, and Pool-Adjacent-Violators (PAV) algorithm-based) approach to craft reliability curves and decompose a mean score into miscalibration (MCB), discrimination (DSC), and uncertainty (UNC) components. Plots of the DSC measure of discrimination ability versus the calibration metric MCB visualize classifier performance across multiple competitors. The proposed tools are illustrated in empirical examples from astrophysics, economics, and social science.

Quality assurance for building-stock energy models: a performance comparison of eleven uncertainty and sensitivity analysis methods

Building-Stock Energy Models (BSEMs) have grown in popularity, implementation, scale and complexity. Yet, BSEM quality assurance processes have lagged behind. This article proposes a scalable methodology to apply Uncertainty (UA) and Sensitivity Analysis (SA) to BSEMs and studies the performance of eleven common UA-SA methods (OAT, SRC, SRRC, FFD, Morris, Sobol’, eFAST, FAST-RBD, DMIM, PAWN, DGSM) for three UA-SA targets: screening, ranking and indices. Applying UA and SA to BSEMs requires a two-step input parameter sampling that samples ‘across stocks’ and ‘within stocks’. To make efficient use of computational resources, practitioners should (i) distinguish between three UA-SA targets and (ii) choose a method based on the aimed UA-SA target. The computational cost varies according to the UA-SA target and method; (i) for screening: OAT, SRC, SRRC, FFD and Morris; (ii) for ranking: SRC, SRRC and Morris and (iii) for indices: Sobol’ is the most efficient, among the tested UA-SA methods.

Uncertainty and sensitivity analysis of building-stock energy models: sampling procedure, stock size and Sobol’ convergence

Despite broad recognition of the need for applying Uncertainty (UA) and Sensitivity Analysis (SA) to Building-Stock Energy Models (BSEMs), limited research has been done. This article proposes a scalable methodology to apply UA and SA to BSEMs, with an emphasis on important methodological aspects: input parameter sampling procedure, minimum required building stock size and number of samples needed for convergence. Applying UA and SA to BSEMs requires a two-step input parameter sampling that samples ‘across stocks’ and ‘within stocks’. To make efficient use of computational resources, practitioners should distinguish between three types of convergence: screening, ranking and indices. Nested sampling approaches facilitate comprehensive UA and SA quality checks faster and simpler than non-nested approaches. Robust UA-SA's can be accomplished with relatively limited stock sizes. The article highlights that UA-SA practitioners should only limit the UA-SA scope after very careful consideration as thoughtless curtailments can rapidly affect UA-SA quality and inferences. Abbreviations, definitions and indices BEM: Building Energy Model; BSEM: Building-Stock Energy Model; UA: Uncertainty Analysis focuses on how uncertainty in the input parameters propagates through the model and affects the model output parameter(s); SA: Sensitivity Analysis is the study of how uncertainty in the output of a model (numerical or otherwise) can be apportioned to different sources of uncertainty in the model input factors; GSA: Global Sensitivity Analysis (e.g. Sobol’ SA);LSA: Local Sensitivity Analysis (e.g. OAT); OAT: One-At-a-Time; LOD: Level of Development; : The model output; : The -th model input parameter and denotes the matrix of all model input parameters but ; : The first-order sensitivity index, which represents the expected amount of variance reduction that would be achieved for , if was specified exactly. The first-order index is a normalized index (i.e. always between 0 and 1); : The total-order sensitivity index, which represents the expected amount of variance that remains for , if all parameters were specified exactly, but . It takes into account the first and higher-order effects (interactions) of parameters and can therefore be seen as the residual uncertainty; : The higher-order effects index is calculated as the difference between and and is a measure of how much is involved in interactions with any other input factor; : The second order sensitivity index, which represents the fraction of variance in the model outcome caused by the interaction of parameter pair (,); M: Mean (µ); SD: Standard deviation (σ); Mo: Mode; n: number of buildings in the modelled stock;N: number of samples (i.e. matrices of or stock model runs; batches of or are required to calculate Sobol’ indices); K: number of uncertain parameters; ME: number of model evaluations (i.e. stocks to be calculated); *: Table 1: Aleatory uncertainty: Uncertainty due to inherent or natural variation of the system under investigation;Epistemic uncertainty: Uncertainty resulting from imperfect knowledge or modeller error; can be quantified and reduced.

Pressure Sensor Stability Analysis of Positive End Expiratory Pressure Parameters in Flow Analyzer Design

The Positive End Expiratory Pressure (PEEP) parameter is a parameter that must be considered in the process of determining the patient's condition, a safe threshold, and must be in accordance with the settings. However, often the PEEP value on the ventilator does not match the settings so that the measuring instrument capable of detecting PEEP on the ventilator is the Flow Analyzer. The purpose of this study was to design a Flow Analyzer using the MPX2010 sensor to analyze the stability of the PEEP parameters on the ventilator. This study used PEEP settings of 0, 5, 8, 11, 14, 17, 20, 23, 26, and 29 cmH2O. Data were collected using a ventilator with VCV (Volume Control Ventilation) and PCV (Pressure Control Ventilation) modes. The tool used for reference from standard measurements uses the Standard Flow Analyzer tool. The results of this study indicate that the measurement accuracy of PEEP parameters with the Flow Analyzer module at each PEEP setting has the smallest error of ±0% at 0 cmH2O setting so that it also has the smallest value of 0 by standard. deviation and uncertainty (UA) value 0 at each setting. The Flow Analyzer measurement module has the largest error in the 5 cmH2O setting, which is ±13.2% with the largest correction value of 0.77. From the data obtained, it can be said that the monitoring of the PEEP parameter is quite stable even though the value is still out of tolerance. Monitoring of PEEP stability parameters can be implemented during the ventilator calibration process which needs to be carried out to analyze damage and reduce the time of damage to the ventilator.

The role of uncertainty index in forecasting volatility of Bitcoin: Fresh evidence from GARCH-MIDAS approach

We shed light on the role of Economic Policy Uncertainty (EPU) and Cryptocurrency Uncertainty (UCRY) indices in forecasting Bitcoin volatility. The empirical results of in-sample estimations demonstrate that the global EPU index and UCRY indices exhibit significantly negative and positive effects on long-term Bitcoin volatility, respectively. Moreover, the out-of-sample validation reveals that One-Side Asymmetric GARCH-MIDAS with UCRY price index is the best-performing model and forecasting models incorporating the UCRY indices significantly outperform models with global and national EPUs in out-of-sample forecasting. Considering its scarce application, UCRY indices become a promising data source in guiding Bitcoin trading behaviors.

Exposing Viburnum edule seeds to a sequence of temperatures affects the germination characteristics

For many species of Viburnum, exposure to two distinct stratification sequences warm to cold or cold to warm may break embryo dormancy to initiate significant germination. Seeds of Viburnum edule were collected and moved through a series of cold-warm (4/20°C) or warm-cold (20/4°C) stratification to better understand precisely which temperature sequences and duration improve germination percentage (GRP), mean germination time (MGT), germination synchrony (SYN) and uncertainty (UNC), and time for seeds to reach 50% germination (t50). Seeds kept in cold-warm temperature sequences, on average, improved GRP by 24%, reduced MGT by 216 days and t50 by 97 days compared with those in the warm-cold stratification sequence. The warm-cold temperature sequence was more advantageous in improving the SYN (0.94 vs. 0.51) and reducing the UNC (0.21 vs. 0.96) indices than the cold-warm temperature sequence.

An index of cryptocurrency environmental attention (ICEA)

Purpose(1) A concern often expressed in relation to cryptocurrencies is the environmental impact associated with increasing energy consumption and mining pollution. Controversy remains regarding how environmental attention and public concerns adversely affect cryptocurrency prices. Therefore, the paper aims to introduce the index of cryptocurrency environmental attention (ICEA), which aims to capture the relative extent of media discussions surrounding the environmental impact of cryptocurrencies. (2) The impacts of cryptocurrency environmental attention on long-term macro-financial markets and economic development remain part of undeveloped research fields. Based on these factors, the paper will further examine the effects of the ICEA on financial markets or economic developments.Design/methodology/approach(1) The paper introduces a new index to capture cryptocurrency environmental attention in terms of the cryptocurrency response to major related events through gathering a large amount of news stories around cryptocurrency environmental concerns – i.e. >778.2 million news items from the LexisNexis News & Business database, which can be considered as Big Data – and analysing that rich dataset using variety of quantitative techniques. (2) The vector error correction model (VECM) and structural VECM (SVECM) [impulse response function (IRF), forecast error variance decomposition (FEVD) and historical decomposition (HD)] are useful for characterising the dynamic relationships between ICEA and aggregate economic activities.Findings(1) The paper has developed a new measure of attention to sustainability concerns of cryptocurrency markets' growth, ICEA. (2) ICEA has a significantly positive relationship with the UCRY indices, volatility index (VIX), Brent crude oil (BCO) and Bitcoin. (3) ICEA has a significantly negative relationship with the global economic policy uncertainty (GlobalEPU) and global temperature uncertainty (GTU). Moreover, ICEA has a significantly positive relationship with the industrial production (IP) in the short term, whilst having a significantly negative relationship in the long term. (4) The HD of the ICEA displays higher linkages between environmental attention, Bitcoin and UCRY indices around key events that significantly change the prices of digital assets.Research limitations/implicationsThe ICEA is significant in the analysis of whether cryptocurrency markets are sustainable regarding energy consumption requirements and negative contributions to climate change. Understanding of the broader impacts of cryptocurrency environmental concerns on cryptocurrency market volatility, uncertainty and environmental sustainability should be considered and developed. Moreover, the paper aims to point out future research and policy legislation directions. Notably, the paper poses the question of how cryptocurrency can be made more sustainable and environmentally friendly and how governments' cryptocurrency policies can address the cryptocurrency markets.Practical implications(1) The paper develops a cryptocurrency environmental attention index based on news coverage that captures the extent to which environmental sustainability concerns are discussed in conjunction with cryptocurrencies. (2) The paper empirically investigates the impacts of cryptocurrency environmental attention on other financial or economic variables [cryptocurrency uncertainty (UCRY) indices, Bitcoin, VIX, GlobalEPU, BCO, GTU index and the Organisation for Economic Co-operation and Development IP index]. (3) The paper provides insights into making the most effective use of online databases in the development of new indices for financial research.Social implicationsWhilst blockchain technology has a number of useful implications and has great potential to transform several industries, issues of high-energy consumption and CO2 pollution regarding cryptocurrency have become some of the main areas of criticism, raising questions about the sustainability of cryptocurrencies. These results are essential for both policy-makers and for academics, since the results highlight an urgent need for research addressing the key issues, such as the growth of carbon produced in the creation of this new digital currency. The results also are important for investors concerned with the ethical implications and environmental impacts of their investment choices.Originality/value(1) The paper provides an efficient new proxy for cryptocurrency and robust empirical evidence for future research concerning the impact of environmental issues on cryptocurrency markets. (2) The study successfully links cryptocurrency environmental attention to the financial markets, economic developments and other volatility and uncertainty measures, which has certain novel implications for the cryptocurrency literature. (3) The empirical findings of the paper offer useful and up-to-date insights for investors, guiding policy-makers, regulators and media, enabling the ICEA to evolve into a barometer in the cryptocurrency era and play a role in, for example, environmental policy development and investment portfolio optimisation.

Investor attention in cryptocurrency markets

We examine the relationship between investor attention, and measures of uncertainty, with the market dynamics of Bitcoin and other cryptocurrencies. We find that increases in investor attention are associated with higher returns, more volatility, and greater illiquidity in cryptocurrency markets. In contrast, cryptocurrency uncertainty (UCRY) and financial market uncertainty (VIX) are also positively related to volatility and illiquidity but have a negative contemporaneous relationship with returns. The identified relationships are accentuated during the COVID-pandemic, and are robust to different measures of investor attention, volatility, and illiquidity. Our results suggest that monitoring investor attention could assist both investors and policymakers.

State Estimation in Electric Power Systems Based on Adaptive Neuro-Fuzzy System Considering Load Uncertainty and False Data

State Estimation in Electric Power Systems Based on Adaptive Neuro-Fuzzy System Considering Load Uncertainty and False Data

Reference standards-copies of mass unit: calibration 2020 using vacuum comparator CCL 1007

The article discusses the calibration results of reference standards-copies according to the State Primary Standard of the Mass Unit using the new CCL 1007 vacuum comparator and buoyancy artifacts. The authors provided historical data on the calibrations of copies of the International Prototype of the Kilogram (IPK) starting from 1892, including the Russian prototype № 12. The instability of the prototype of the kilogram No. 12 corresponds to international values and is assessed at 5 · 10–11 kg per year. Changes in the mass of copies are assessed in relation to the mass of the IPK, but it is impossible to determine to what extent it has changed. This was the reason for the adoption of a new value of the kilogram. Following the adoption at the 26th meeting of the General Conference on Weights and Measures (CGPM) held in Paris in November 2018, Planck constant was numerically established with absolute accuracy, and total uncer tainty of 1 · 10–8 kg was assigned to the mass of the IPK. Thus, the authors set the aim to preserve the numerical value of the total uncertainty of the reference standards-copies by reducing the transfer error of the State Primary Standard by 10 times. The article presents the calibration results of six reference standards-copies in relation to prototype No. 12 with the primary data processing using the method of least squares, and the uncertainty budget is provided. The calibration results of the reference standards-copies confirmed the accuracy increase of the transfer unit by 10 times in the range from 6 · 10–9 kg to 6 · 10–10 kg by the use of a vacuum comparator graduated 0.1 μg and buoyancy and sorption artifacts in direct measurements of air density. This has made it possible to compensate for the additional uncertainty attributed to the IPK based on the determination of the Planck constant value and to ensure the mass calibration of all accuracy grades preserving the entire hierarchical system of transferring the mass unit in the country.

Corporate Sustainability: Study of "New Normal" Factors that Affect Corporate Sustainability

When we look back on the history of the world, the term “New Normal” has been employed concerning World War I, the global financial crisis of 2007 -2008, the September 11 attacks in the United States, and the global recession of 2008 -2012. Still, this term has never powerfully shocked our hearts. The COVID-19 pandemic has been changing human life since 2020. People gradually move away from everyday life and progressively walk into the “New Normal” life. However, the life of “New Normal” is full of uncertainty. The uncertainty may come from the different variants of the COVID-19 virus, and it may come from the resetting of the global economy. In the “New Normal” life, more and more companies go bankrupt and are about to face bankruptcy. Even though some companies do not want to default, but it has been hard to survive nowadays. Until now, it is hard to know if the “New Normal” life is a brief time in this long history of the world or the “New Normal” life will be a permanent state. Anyway, the “New Normal” factors of “New Normal” life have provided opportunities to force the world to eliminate outdated technologies, eliminate the backward enterprises, reorganize the business framework of companies, optimize the industrial structure, strengthen human resources, re-set the world economy, reorganize the business relationship of the world. History always moves forward according to its natural developmental trend, and no force can resist the law of the development of things. Still, also no power can resist people to pursue a better life. Individuals, groups, regions, and countries are connected based on the relationship between the individual and country is the relationship between the individual and the larger society. In addition, the relationship between the individual and the world is the relationship between the individual and the human organization. Therefore, individuals, groups, regions, and countries must look forward and keep a positive mindset to adopting the “New Normal” factorsin the “New Normal” life. As we can see, many companies are adopting “New Normal” factors, and some are expanding their business network and further towards corporate sustainability despite this COVID-19 pandemic making the challenging situation in this business world. The main research question of this study is “What are the “New Normal” factors that have a significant effect on corporate sustainability?” In this study, eight independent variables including Working from home (W.H), Workforce transformation (R.W), Digital transformation (D.T), Technological transformation (T.N), Psychological effect (P.C), Uncertainty (U.C), Consumer behavioral change (C.N), Government policy (G.V), and one dependent variable Corporate adjustment (C.S) is the studied. This study aims to understand the structural relationship among these potential variables that could influence corporate sustainability in the “New Normal” life. The dataset utilized to test the hypothesis postulated in this study is the Structural Equation Model (SEM). The results from this study suggests that Technological transformation, Uncertainty, Consumer behavioral change, Digital transformation, and Government policy significantly affect corporate sustainability in the “New Normal” life. Considering different politics, economy, and cultural backgrounds in countries and industries, we also found that some irreconcilable factors affect technological transformation, uncertainty, consumer behavioral change, digital transformation, and government policy. Finally, this study identified technological transformation, uncertainty, consumer behavioral change, digital transformation, and government policy as significant factors that affect corporate sustainability. Therefore, this study provides some valuable suggestions for all companies to better adapt to the business market in the “New Normal” time. In addition, this study also provides some evidence and ideas for researchers to explore corporate sustainability in the “New Normal” time and post-COVID-19.

Point: Uncertainty about estimating the risks of COVID-19 during pregnancy.

Point: Uncertainty about estimating the risks of COVID-19 during pregnancy.

Uncertainty as a catalyst and condition for creativity: the case of mathematics

Uncertainty as a catalyst and condition for creativity: the case of mathematics

Dynamics under Uncertainty: Modeling Simulation and Complexity

This issue contains the successful invited submissions [...]

Governing uncertainty, producing subjectivity: from Mode I to Mode II scenarios

Governing uncertainty, producing subjectivity: from Mode I to Mode II scenarios

The Effects of Age and Uncertainty in the Stroop Priming Task.

In this study, we tested young and older adults on a spatially separated Stroop priming task in which a neutral word in colored ink (target) randomly appeared on either side of a color word in black ink (prime). Cues that preceded the target-prime word pair either indicated the correct target location (valid), the incorrect location (invalid), or provided no information about the target location (ambiguous). Analyses of proportional response latencies and ex-Gaussian parameters of response latency distributions showed that valid advance cues reduced interference and invalid cues increased interference for both young and older adults. Ambiguous cues were also associated with high levels of interference, but interference was higher for older adults than for younger adults. These findings are consistent with a large body of research showing age-related deficits in the use of the attentional network associated with executive control. However, they also demonstrate that older adults can use the attentional network associated with spatial orienting to reduce response conflict. For instance, we observed facilitation for congruent trials after the presentation of an invalid cue, but very little facilitation for congruent trials after the presentation of an ambiguous cue. As the attentional demands in our world increase, we might use this knowledge to promote optimal functioning in older adults. Our findings challenge the notion of ubiquitous age-related declines in attention and contribute to the discussion of how attentional networks work together as demands for conflict resolution vary. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Trust in a Time of Uncertainty: A Call for Articles

Journal of Hospital MedicineVolume 16, Issue 7 p. 389-389 From the Editor-In-Chief Trust in a Time of Uncertainty: A Call for Articles Elise Peterson Lu MD, PhD, Elise Peterson Lu MD, PhD Paul C Gaffney Division of Hospital Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PennsylvaniaSearch for more papers by this authorMel L Anderson MD, Mel L Anderson MD Division of Hospital Medicine, University of Colorado, Aurora, ColoradoSearch for more papers by this authorErin Shaughnessy MD, MSHCM, Erin Shaughnessy MD, MSHCM Division of Pediatric Hospital Medicine, Children's Hospital of Alabama, Birmingham, AlabamaSearch for more papers by this authorLuci K Leykum MD, MBA, MSc, Luci K Leykum MD, MBA, MSc Dell Medical School, University of Texas at Austin, Austin, Texas Medicine Service, South Texas Veterans Heath Care System, San Antonio, TexasSearch for more papers by this authorDaniel B Wolfson MHSA, Daniel B Wolfson MHSA ABIM Foundation, Philadelphia, PennsylvaniaSearch for more papers by this authorSamir S Shah MD, MSCE, Corresponding Author Samir S Shah MD, MSCE Samir.Shah@cchmc.org Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OhioCorresponding Author: Samir S Shah; E-mail: Samir.Shah@cchmc.org; Twitter: @SamirShahMDSearch for more papers by this author Elise Peterson Lu MD, PhD, Elise Peterson Lu MD, PhD Paul C Gaffney Division of Hospital Medicine, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PennsylvaniaSearch for more papers by this authorMel L Anderson MD, Mel L Anderson MD Division of Hospital Medicine, University of Colorado, Aurora, ColoradoSearch for more papers by this authorErin Shaughnessy MD, MSHCM, Erin Shaughnessy MD, MSHCM Division of Pediatric Hospital Medicine, Children's Hospital of Alabama, Birmingham, AlabamaSearch for more papers by this authorLuci K Leykum MD, MBA, MSc, Luci K Leykum MD, MBA, MSc Dell Medical School, University of Texas at Austin, Austin, Texas Medicine Service, South Texas Veterans Heath Care System, San Antonio, TexasSearch for more papers by this authorDaniel B Wolfson MHSA, Daniel B Wolfson MHSA ABIM Foundation, Philadelphia, PennsylvaniaSearch for more papers by this authorSamir S Shah MD, MSCE, Corresponding Author Samir S Shah MD, MSCE Samir.Shah@cchmc.org Division of Hospital Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OhioCorresponding Author: Samir S Shah; E-mail: Samir.Shah@cchmc.org; Twitter: @SamirShahMDSearch for more papers by this author First published: 24 May 2021 https://doi.org/10.12788/jhm.3653Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume16, Issue7July 2021Pages 389-389 RelatedInformation

Localization Uncertainty Constrained Lateral PID Control with Aids of Fuzzy Logic Considering LiDAR NDT Matching Error

Localization Uncertainty Constrained Lateral PID Control with Aids of Fuzzy Logic Considering LiDAR NDT Matching Error