scholarly journals INTERVAL CALIBRATION MODEL OF MULTISENSOR SYSTEM

2014 ◽  
pp. 82-86
Author(s):  
Alexander Voschinin ◽  
Nikita Skibitski
Keyword(s):  
Subset Selection ◽  
Calibration Model ◽  
Random Errors ◽  
Uncertainty Interval ◽  
System Calibration ◽  
Multisensor System ◽  
Aggregate Estimation ◽  
Measurable Variable ◽  
Using Data ◽  
Definition Of

Problem of multisensor system calibration is of great importance in a number of applications. Most often the problem is solving by means of statistical methods using data of calibration controlled experiment. However, in many cases uncertainty and inaccuracy of experimental data more reasonably to express not in terms of random errors but in terms of known bounded absolute errors. For this case based on the introduced definition of “interval readings” interval calibration model is suggested. Within interval paradigm all calibration subproblems are reasonably solved including sensor sensitivity test, most accurate sensors subset selection and aggregate estimation of measurable variable uncertainty interval. There are given a numerical examples.

Embracing School Counselors’ Situatedness: Data-Based Decision Making as Fulfillment of a Complex Identity

2021 ◽  
Vol 24 (1_part_3) ◽  
pp. 2156759X2110119
Author(s):  
Brett Zyromski ◽  
Catherine Griffith ◽  
Jihyeon Choi
Keyword(s):  
Decision Making ◽  
School Counselors ◽  
School Counselor ◽  
Use Of Data ◽  
Counselor Identity ◽  
Using Data ◽  
Definition Of ◽  
Support Students ◽  
Students Success ◽  
Data Based Decision Making

Since at least the 1930s, school counselors have used data to inform school counseling programming. However, the evolving complexity of school counselors’ identity calls for an updated understanding of the use of data. We offer an expanded definition of data-based decision making that reflects the purpose of using data in educational settings and an appreciation of the complexity of the school counselor identity. We discuss implications for applying the data-based decision-making process using a multifaceted school counselor identity lens to support students’ success.

scholarly journals STUDI PERAMBATAN KESALAHAN SISTEMATIS LUAS LAHAN PARKIR KAMPUS MENGGUNAKAN PENDEKATAN LUAS SEGITIGA SEMBARANG

2019 ◽  
Vol 13 (1) ◽  
pp. 14
Author(s):  
Hendro Supratikno ◽  
David Premana
Keyword(s):  
Systematic Error ◽  
Error Propagation ◽  
Measurement Data ◽  
Systematic Errors ◽  
Random Errors ◽  
Land Area ◽  
Parking Lots ◽  
Parking Lot ◽  
Data Error ◽  
Definition Of

Parking is a condition of not moving a vehicle that is temporary because it was abandoned by the driver. Included in the definition of parking is every vehicle that stops at certain places whether stated by traffic signs or not, and not solely for the benefit of raising and / or lowering people and / or goods.Campus 3 Lumajang State Community Academy has facilities and infrastructure prepared by the Lumajang Regency government. However, the parking lots provided cannot accommodate vehicles optimally because of the ratio of the number of vehicles and the area of the parking area that is not appropriate. This is because the area of the parking lot is not analyzed by data error when measuring.Each measurement data is assumed to have errors both systematic errors, random errors, and large errors (blunders), so that in the measurement of parking lots certainly there are errors. From this the authors intend to conduct research to find out how the propagation of systematic errors and the large systematic errors of the area of campus parking lot 3 Lumajang Community Academy.The methods used in this study include preparing materials and tools, making land sketches, decomposing them, determining distances using theodolite, determining land area equations, and finding systematic error propagation. So that the final goal in this study is to find large systematic errors in the parking area of Campus 3 of the Lumajang State Community Academy

Cropmarks used in aerial archaeology as special spatial indicators of soil features potentially applicable in soil mapping

2021 ◽  
Author(s):  
Mátyás Árvai ◽  
Zoltán Czajlik ◽  
János Mészáros ◽  
Balázs Nagy ◽  
László Pásztor
Keyword(s):  
Soil Properties ◽  
Auxiliary Information ◽  
Cultivated Plants ◽  
Soil Features ◽  
Random Forest Models ◽  
Kolmogorov Smirnov ◽  
Using Data ◽  
Definition Of ◽  
New Research

<p>Cropmarks are a major factor in the effectiveness of traditional aerial archaeology. The positive and negative features shown up by cropmarks are the role of the different cultivated plants and the importance of precipitation and other elements of the physical environment. In co-operation with the experts of the Eötvös Loránd University a new research was initiated to compare the pedological features of cropmark plots (CMP) and non-cropmark plots (nCMP) in order to identify demonstrable differences between them. For this purpose, the spatial soil information on primary soil properties provided by DOSoReMI.hu was employed. To compensate for the inherent vagueness of spatial predictions, together with the fact that the definition of CMPs and nCMPs is somewhat indefinite, the comparisons were carried out using data-driven, statistical approaches. In the first round three pilot areas were investigated, where Chernozem and Meadow type soils proved to be correlated with the formation of cropmarks. Kolmogorov-Smirnov tests and Random Forest models showed a different relative predominance of pedological variables in each study area. The geomorphological differences between the study areas explain these variations satisfactorily. In the next round, the identified relationships between cropmarking and soil features are planned to be utilized in the spatial inference of soil properties, where crop-marking sites will represent a unique, spatially non-exhaustive auxiliary information.</p>

Ambush Killings of the Police, 1970–2018: A Longitudinal Examination of the “War on Cops” Debate

2020 ◽  
Vol 23 (4) ◽  
pp. 451-471
Author(s):  
Michael D. White
Keyword(s):  
International Association ◽  
Extended Period ◽  
Interrupted Time Series ◽  
Temporal Coding ◽  
Interrupted Time Series Analysis ◽  
High Profile ◽  
Chiefs Of Police ◽  
Recent Trends ◽  
Using Data ◽  
Definition Of

Over the last few years, there has been a series of high-profile, premeditated ambush attacks on police, which has led some to conclude there is a “war on cops.” Unfortunately, prior research has not examined the prevalence of police ambushes over an extended period of time, and the most recent study only analyzed the phenomenon through 2013. Moreover, the “war on cops” thesis implies a very specific motivation for an ambush: hatred of police or desire to seek vengeance in response to police killings of citizens. Prior research has not sufficiently explored the motivations of ambush attacks, or whether recent trends in ambushes are linked to a “war on cops” motive. I investigate ambush killings of police from 1970 to 2018 using data from the Officer Down Memorial Page in an attempt to address these research gaps. I apply a temporal coding scheme of when the attack occurred to isolate killings of police that are consistent with the International Association of Chiefs of Police definition of an ambush. Results from linear regression show that the annual rates of ambush killings of police have declined by more than 90% since 1970. Although ambushes spiked in 2016 and 2018 to the highest rates in 20 years, interrupted time series analysis indicates no statistically significant increase post-2013. Spikes have also occurred in nonambush killings since 2014. Police leaders and researchers should monitor trends in ambush and nonambush killings of police, as the recent spikes may presage the emergence of a chronic problem.

Diagnostic depressive symptoms of the mixed bipolar episode

2000 ◽  
Vol 30 (2) ◽  
pp. 403-411 ◽  
Author(s):  
F. CASSIDY ◽  
E. AHEARN ◽  
E. MURRY ◽  
K. FOREST ◽  
B. J. CARROLL
Keyword(s):  
Depressive Symptoms ◽  
Roc Analysis ◽  
Optimal Solution ◽  
Face Validity ◽  
Optimal Threshold ◽  
Large Patient ◽  
R Classification ◽  
Using Data ◽  
Definition Of ◽  
Dysphoric Mood

Background. There is not yet consensus on the best diagnostic definition of mixed bipolar episodes. Many have suggested the DSM-III-R/-IV definition is too rigid. We propose alternative criteria using data from a large patient cohort.Methods. We evaluated 237 manic in-patients using DSM-III-R criteria and the Scale for Manic States (SMS). A bimodally distributed factor of dysphoric mood has been reported from the SMS data. We used both the factor and the DSM-III-R classifications to identify candidate depressive symptoms and then developed three candidate depressive symptom sets. Using ROC analysis we determined the optimal threshold number of symptoms in each set and compared the three ROC solutions. The optimal solution was tested against the DSM-III-R classification for cross-validation.Results. The optimal ROC solution was a set, derived from both the DSM-III-R and the SMS, and the optimal threshold for diagnosis was two or more symptoms. Applying this set iteratively to the DSM-III-R classification produced the identical ROC solution. The prevalence of mixed episodes in the cohort was 13·9% by DSM-III-R, 20·2% by the dysphoria factor and 27·4% by the new ROC solution.Conclusions. A diagnostic set of six dysphoric symptoms (depressed mood, anhedonia, guilt, suicide, fatigue and anxiety), with a threshold of two symptoms, is proposed for a mixed episode. This new definition has a foundation in clinical data, in the proved diagnostic performance of the qualifying symptoms, and in ROC validation against two previous definitions that each have face validity.

scholarly journals Modeling Economic Growth with Unpredictable Shocks: A State-Level Application for 1960-90

1995 ◽  
Vol 27 (2) ◽  
pp. 400-408 ◽  
Author(s):  
Stephan J. Goetz ◽  
Richard C. Ready
Keyword(s):  
Economic Growth ◽  
Term Structure ◽  
Growth Model ◽  
Error Term ◽  
State Level ◽  
Random Errors ◽  
Frontier Estimation ◽  
Economic Growth Model ◽  
Using Data ◽  
The U.S

AbstractA Barro-type economic growth model is estimated for the 50 states in the U.S. using data for three decades beginning in 1960. Frontier estimation techniques are used to test for the presence of state-specific shocks to economic growth that are independent of the usual, normally-distributed random errors. We find that large, positive shocks to growth occurred during the period 1960-90. Our results indicate that the error term structure assumed under OLS may not be appropriate for modeling economic growth.

scholarly journals Capabilities and performance of the upgraded Mark III correlator system

1988 ◽  
Vol 128 ◽  
pp. 429-437 ◽  
Author(s):  
Alan R. Whitney
Keyword(s):  
Reference Frames ◽  
Modular Design ◽  
Low Cost ◽  
Random Errors ◽  
Geodetic Vlbi ◽  
Vlbi Data ◽  
Artificial Earth ◽  
Continuum Radio ◽  
And Performance ◽  
Using Data

The Mark IIIA correlator system is currently operating at the U. S. Naval Observatory in Washington, D.C. in support of VLBI geodetic measurements being made by NASA, NGS, NRL, and USNO. This correlator system, developed at Haystack Observatory, is a second-generation version of the original Mark III correlator, and adds significant new capabilities such as double-speed operation, longer integration periods, and improved internal modelling.The Mark IIIA correlator can simultaneously process up to 10 baselines of data from 5 stations. Experiments including more than 5 stations may be processed with multiple passes through the correlator. The architecture of the correlator allows a future expansion to a maximum of 16 stations. Due to a simple modular design and the low cost of required computer-support equipment, expansion is straightforward and relatively economical.Although current geodetic VLBI observations are made using data from distant natural continuum radio sources, the Mark IIIA correlator was designed to also support processing of data collected from pulsars, artificial earth satellites, and from earth-orbiting antennas receiving signals from natural sources. These capabilities may be important in the future as efforts continue, for example, to tie satellite-related reference frames to current VLBI reference frames.The design approach of the Mark IIIA correlator will be discussed, including its performance with respect to systematic and random errors which may affect geodetic VLBI data.

The Options of Using Data Mining Methods in Process Control

2014 ◽  
Vol 693 ◽  
pp. 123-128
Author(s):  
Alena Kopcekova ◽  
Michal Kopcek ◽  
Pavol Tanuska
Keyword(s):  
Data Mining ◽  
Control Systems ◽  
Planning Process ◽  
Hierarchical Control ◽  
Basic Research ◽  
Systems Model ◽  
Mining Methods ◽  
Using Data ◽  
Definition Of ◽  
A Company

The term business intelligence (BI) represents the tools and systems that play a key role in the strategic planning process of the corporation. These systems allow a company to gather, store, access and analyze corporate data to aid in decision-making. Necessary fundamental definitions are offered and explained to better understand the basic principles and the role of this technology for a company management. The proposed article is logically divided into more sections, where the stages of basic research in the field of data mining are described gradually. This involves the definition of the technology and the list of main advantages and analytical methods incorporated in online analytical processing. Also some typical applications of above mentioned particular methods are introduced. The focus of this paper is to introduce the options of using the data mining methods on the control systems level within the hierarchical control systems model.

scholarly journals An ego-centred approach for the evaluation of health inequalities in urban areas

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
O Sauzet ◽  
K A Zolitschka ◽  
J Spallek ◽  
J Breckenkamp ◽  
O Razum
Keyword(s):  
Health Outcomes ◽  
Spatial Correlation ◽  
Health Inequalities ◽  
Urban Areas ◽  
Complex Mixture ◽  
Urban Setting ◽  
Neighbourhood Effects ◽  
Spatially Correlated ◽  
Using Data ◽  
Definition Of

Abstract Background Neighbourhood possesses attributes, structural, physical and social, for which pathways to health inequalities could be hypothesized. Hence, neighbourhood is a complex mixture of factors which cannot be simply defined by a delineation on a map, making common definitions of neighbourhood (e.g. administrative borders) problematic. We present a new concept for the evaluation of contextual health inequalities in an urban setting. Methods An ego-centred approach to neighbourhood effects on health allows to establish to what degree the health outcomes of a person are on average correlated to the health outcomes of his/her neighbours. This approach does not necessitate the definition of what a neighbourhood is, or of its boundaries. Using data from the BaBi birth cohort following up 958 mother-child pairs in Bielefeld/Germany we illustrate how the method provides information about the spatial structure of a possible association between unmeasured neighbourhood factors and birthweight. Spatially correlated birthweight indicates a neighbourhood effect on maternal health. Results A parametric model of the correlation structure gives two indicators: a distance after which health outcomes are no longer correlated (practical range), and the strength of correlation (RSV). We modelled birthweight directly and residuals after controlling for (spatially correlated) covariates. After adjusting for the mother’s demographics and neighbourhood characteristics, birthweights remained spatially correlated with RSV of 11% and a practical range of 128 m. Conclusions Modelling the spatial correlation of a health outcome provides a measure of the degree of health correlation, thus offering new evidence on the production of health inequalities while incorporating current modelling approaches. Moreover, it measures heterogeneity in a city. This could be used as an indicator for policy makers or town planners to identify areas in need of socioeconomic investment. Key messages Modelling the spatial correlation of health outcomes is an approach which enable to assess unmeasured neighbourhood effects. The health correlation neighbourhood approach helps to investigate the production of health inequalities and to identify urban areas in need of socioeconomic investment.

scholarly journals Comparing Measures of Late HIV Diagnosis in Washington State

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Laura Saganic ◽  
Jason Carr ◽  
Rosa Solorio ◽  
Maria Courogen ◽  
Tom Jaenicke ◽  
...  
Keyword(s):  
Hiv And Aids ◽  
Foreign Born ◽  
Hiv Diagnosis ◽  
Hiv Surveillance ◽  
Late Hiv Diagnosis ◽  
Surveillance Programs ◽  
Two Measures ◽  
Using Data ◽  
Definition Of ◽  
Testing Patterns

As more US HIV surveillance programs routinely use late HIV diagnosis to monitor and characterize HIV testing patterns, there is an increasing need to standardize how late HIV diagnosis is measured. In this study, we compared two measures of late HIV diagnosis, one based on time between HIV and AIDS, the other based on initial CD4+results. Using data from Washington's HIV/AIDS Reporting System, we used multivariate logistic regression to identify predictors of late HIV diagnosis. We also conducted tests for trend to determine whether the proportion of cases diagnosed late has changed over time. Both measures lead us to similar conclusions about late HIV diagnosis, suggesting that being male, older, foreign-born, or heterosexual increase the likelihood of late HIV diagnosis. Our findings reaffirm the validity of a time-based definition of late HIV diagnosis, while at the same time demonstrating the potential value of a lab-based measure.

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