scholarly journals Verification of the Axle Load Spectra Databases Using Stationary and Portable Weight-in-Motion Devices in Overload Corridors of East Texas

2021 ◽  
Author(s):  
Ali Morovatdar ◽  
Reza S. Ashtiani
Keyword(s):  
Data Collection ◽  
Traffic Information ◽  
Traffic Data ◽  
Traffic Patterns ◽  
Load Spectra ◽  
Data Collection Process ◽  
Operational Life ◽  
Recorded Data ◽  
Piezo Electric

Abstract Axle Load Spectra (ALS) data collected from the Portable Weight-in-Motion (P-WIM) devices, provides the primary Mechanistic-Empirical (ME) traffic data input for optimal and accurate pavement design and analysis. Reliable readings from the P-WIM devices are the key factors that contribute to the accuracy of the analysis results. Therefore, this study was aimed to accurately assess the reliability and quality of the traffic data directly derived from the field data collection efforts. To accomplish this objective, the authors initially deployed P-WIM devices to US281 highway as a representative site in Texas overload corridors to collect the traffic data. The results were synthesized to compile the site-specific axle load spectra database, comprising of traffic information on the axle weights, vehicle classifications, and axle configurations. Subsequently, to assess the reliability of the collected data, P-WIM achieved traffic data were contrasted with those captured by the stationary WIM located at the vicinity of the evaluated site, using the available databases. Comparative analysis results indicated that traffic characterizations using the two WIM systems led to comparable outcomes, validating the accuracy and reliability of the P-WIM data measurements in the field. Additionally, as a practical means to investigate the quality of the recorded data, the longevity of the P-WIM piezo-sensors in several sites with different traffic patterns was investigated. Hence, the deterioration of the calibration factors over the operational life of the installed piezo-electric sensors in the field was analyzed. The post-processed results revealed that the piezo-electric sensors sustained substantial damage after nearly 37 days of operation in the field. Consequently, proper quantification of the ALS should include cross-validation assessments, as well as continuous evaluations of the calibration factors throughout the P-WIM data collection process to achieve good-quality, accurate, and reliable traffic data.

scholarly journals A Study on Change Management and Employees Performance in IMS

2021 ◽  
pp. 40-48
Author(s):  
Yu Hai Yun
Keyword(s):  
Data Collection ◽  
Change Management ◽  
Analytical Data ◽  
Secondary Data ◽  
Research Results ◽  
Data Collection Process ◽  
Research Findings ◽  
Secondary Information ◽  
The Impact

The result or outcome of an entity for its deliberate operational success is the outcome or outcome of an institution with regard to the desired objectives and targets. Operational output the study utilizes the analytical data collection process. For analysis, though, it will use both primary and secondary information. The main statistics is information that the author gathers through surveys or questionnaires and the secondary data is the data collected from prior studies and research. The study examined the effect of change management on the quality of workers, taking into account many factors such as ethics, productivity, morale and interaction among others. The research findings have shown that the greater the integrity of workers and the better the interaction, the higher the productivity and the lower the attrition. The study analyzed the impact of change management on employees’ performance, taking into account many factors such as organizational ethics, recruitment, morale and interaction. The research results demonstrate that the higher the moral and communication standards of employees are at work, the greater the retention and the lower the turnover.

Facing the Nonresponse Challenge

2012 ◽  
Vol 645 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Frauke Kreuter
Keyword(s):  
Data Collection ◽  
Survey Research ◽  
Survey Data ◽  
Quality Measures ◽  
Data Sources ◽  
Collection Process ◽  
Data Collection Process ◽  
Survey Estimates ◽  
Survey Designs

This article provides a brief overview of key trends in the survey research to address the nonresponse challenge. Noteworthy are efforts to develop new quality measures and to combine several data sources to enhance either the data collection process or the quality of resulting survey estimates. Mixtures of survey data collection modes and less burdensome survey designs are additional steps taken by survey researchers to address nonresponse.

scholarly journals A Survey to Assess the Quality of the Data Obtained by Radio-Frequency Technologies and Microelectromechanical Systems to Measure External Workload and Collective Behavior Variables in Team Sports

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2271 ◽  
Author(s):  
Markel Rico-González ◽  
Asier Los Arcos ◽  
Daniel Rojas-Valverde ◽  
Filipe M. Clemente ◽  
José Pino-Ortega
Keyword(s):  
Data Collection ◽  
Radio Frequency ◽  
Collective Behavior ◽  
Microelectromechanical Systems ◽  
Team Sports ◽  
Positioning Systems ◽  
Collection Process ◽  
Data Collection Process ◽  
Global Positioning

Electronic performance and tracking systems (EPTS) and microelectromechanical systems (MEMS) allow the measurement of training load (TL) and collective behavior in team sports so that match performance can be optimized. Despite the frequent use of radio-frequency (RF) technology (i.e., global positioning navigation systems (GNSS/global positioning systems (GPS)) and, local position systems (LPS)) and MEMS in sports research, there is no protocol that must be followed, nor are there any set guidelines for evaluating the quality of the data collection process in studies. Thus, this study aims to suggest a survey based on previously used protocols to evaluate the quality of data recorded by RF technology and MEMS in team sports. A quality check sheet was proposed considering 13 general criteria items. Four additional items for GNSS/GPS, eight additional items for LPS, and five items for MEMS were suggested. This information for evaluating the quality of the data collection process should be reported in the methods sections of future studies.

scholarly journals 129 Recording of the Glasgow Scores in patients admitted to The Great Western Hospital (GWH) with Pancreatitis

2021 ◽  
Vol 108 (Supplement_2) ◽  
Author(s):  
J Warner ◽  
M Halls
Keyword(s):  
Lactate Dehydrogenase ◽  
Data Collection ◽  
Automated Analysis ◽  
Morbidity And Mortality ◽  
Western Hospital ◽  
Significant Pathology ◽  
Recorded Data ◽  
Audit Cycle ◽  
Glasgow Score

Abstract Introduction Pancreatitis represents a significant pathology in terms of morbidity and mortality and therefore it is important to be able to differentiate between mild and severe episodes. The objective nature of the Glasgow score and ability to predict severity make it a useful guide, however its use within GWH varies greatly. Method Both cycles of data collection occurred over one-month periods. Data was collected retrospectively of prospectively recorded data. Intervention implemented following the first audit cycle was a standardised proforma and the biochemistry lab instigated automated analysis of lactate dehydrogenase and calcium. Following this an identical audit was performed. In addition, the presence of CXR on admission and USS within 24hrs of admission was recorded. Results During the first audit cycle 44% of patients had a Glasgow score documented on admission, which improved to 63% after the second audit. There was a 17% improvement in USS scanning within 24 hours and a 50% increase in CXR being performed on admission following the second audit. Conclusions The changes implemented during the study have increased both the quantity and quality of the data recorded in patients admitted to GWH with pancreatitis. This should function to improve differentiation of those with mild episodes from those with severe.

scholarly journals Validation of Four-dimensional Components for Measuring Quality of the Public Health Data Collection Process: Expert Elicitation (Preprint)

2019 ◽  
Author(s):  
Hong Chen ◽  
Ping Yu ◽  
David Hailey ◽  
Tingru Cui
Keyword(s):  
Public Health ◽  
Data Collection ◽  
Expert Elicitation ◽  
The Public ◽  
Component Framework ◽  
Collection Process ◽  
Data Collection Process ◽  
Public Health Information ◽  
Aids Information

BACKGROUND Identification of the essential components of quality of data collection is the starting point for the design of effective data quality management strategies in public health information systems. An inductive analysis of global public health informatics literature on the data collection process derived a four-dimensional (4D) component framework that focuses on four dimensions of the process: management, personnel, data collection system, and environment. It is necessary to empirically validate the framework for further research and practice. OBJECTIVE This study aimed to obtain empirical evidence to confirm the components of the 4D framework, and if needed, to further develop this preliminary framework. METHODS Expert elicitation was used to evaluate the preliminary framework in the context of Chinese national AIDS information management system. The research processes included the development of an interview guide and data collection form, data collection, and data analysis. Twenty-eight experts, including three public health administrators, fifteen public health work-ers, and ten healthcare practitioners participated in the elicitation session. A framework quali-tative data analysis approach was followed to elicit themes from interview transcripts and to compare with the elements of the 4D framework. RESULTS A total of 302 codes were extracted from the interview transcripts, which verified 116 (78%) original indicators and generated 47 new indicators. The final 4D component framework consists of 116 indicators including 82 facilitators and 34 barriers. The first component, data collection management, includes data collection protocol and quality assurance, which is measured by 41 (35% of the 116) indicators. It was followed by data collection environment measured by 37 (32%) indicators, which comprises leadership, training, and funding, as well as three newly added subcomponents, i.e., organisational policy, high-level management support, collaboration among parallel organisations. The third component, data collection personnel, is described by a perception of data collection, skill/competence, communication, and staffing pattern, which is measured by 22 (19%) indicators. The fourth, data collection system, contain-ing functions, integration of different data collection systems, technical support, and device for data collection, is measured by 16 (14%) indicators. CONCLUSIONS This expert elicitation study situated in national AIDS information management systems validated and made improvements to the 4D component framework measuring the quality of the data collection process for public health information systems. The validated 4D component framework can be applied by researchers and practitioners in designing and managing the public health data collection process.

scholarly journals Revisiting Mobile Crowdsensing: An Open Challenge

2021 ◽  
Author(s):  
Vittalis Ayu
Keyword(s):  
Data Collection ◽  
Data Quality ◽  
Context Awareness ◽  
Data Exchange ◽  
Data Availability ◽  
Mobility Patterns ◽  
Mobile Crowdsensing ◽  
Collection Process ◽  
Data Collection Process

Mobile crowdsensing has become a new paradigm that enables citizens to participate in the sensing process by voluntarily gathering data from their smartphones to accomplish some given task. However, performing the sensing task generate lots of data resulting in various quality of the sensed data and high sensing cost in term of resource consumption. This matter became a significant concern in mobile crowdsensing as the mobile nodes which act as crowd sensors have limited resources. Moreover, an opportunistic mobile crowdsensing mechanism does not require user involvement, so the data collection process must be autonomous and intelligent to sense the data in the proper context. That is why context-awareness is also essential in opportunistic crowdsensing to maintain the sensed data quality. In this mini-review, we revisit the possibility of enhancing the mobile crowdsensing mechanism. We argue that improving the data collection process, including context-awareness, can optimize in-node data availability and sensed data quality. Besides, we also argue that finding optimization on inter-node data exchange mechanisms will increase the quality of the in-node data. Furthermore, smartphones that are related to humans as their owners reflect humans' physical and social behavior. We believe that considering contexts such as human social relationships and human mobility patterns can benefit the optimization strategies.

scholarly journals KUALITAS PELAYANAN PUBLIK PADA DINAS KEPENDUDUKAN DAN PENCACATAN SIPIL KOTA DENPASAR DI TENGAH SITUASI PANDEMI COVID-19

2021 ◽  
pp. 61-71
Author(s):  
Ni Nyoman Ariani ◽  
Anak Agung Putu Sugiantiningsih ◽  
Moch. Noor
Keyword(s):  
Data Collection ◽  
Public Service ◽  
Public Services ◽  
Service Providers ◽  
Government Policies ◽  
The Public ◽  
Direct Observations ◽  
Data Collection Process ◽  
Service Standards

Many people have adapted to the situation of covid-19 outbreak including public service providers. Government policies to prevent the spread of COVID-19 have an impact on public service standards implemented by the service providers. Regarding this matter, this study was conducted to analyze the quality of the service provided by Civil Registry Office of Denpasar during covid-19 pandemic. Interviews and direct observations were carried out to collect data. In this data collection process, five questions were given to six informants at this Office. The results of this study show that any declines in terms of the quality of the public services provided by this Office are not identified.

scholarly journals Automating the mixing and spraying stage of the instant mashed potato process

2021 ◽  
Vol 24 (2) ◽  
pp. 771
Author(s):  
Guillermo Morales-Romero ◽  
Adrián Quispe-Andía ◽  
Nicéforo Trinidad-Loli ◽  
Beatriz Caycho-Salas ◽  
Teresa Guía-Altamirano ◽  
...  
Keyword(s):  
Data Collection ◽  
Water Absorption ◽  
Water Solubility ◽  
Absorption Index ◽  
Programmable Logic ◽  
Control Logic ◽  
Data Collection Process ◽  
Programming Logic ◽  
Automated Process

<p>The article describes a control logic used to automate the mixing stage of the instant mashed potato process, in order to improve the quality of the final product. Thus, initially the characteristics of the automated process are detailed, specifying the programming logic on the programmable logic controller, to later demonstrate through a data collection process the percentage of improvement in the quality of the final product from the perspective of the users. Indicators: percentage of humidity in the mixing stage, water absorption index (IAA), water solubility index (ISA) and hydrogen potential (pH). The development of the research concludes that the automation of the process, achieved that the IAA index and the ISA index, obtained in the spraying stage, improve by 8.13% and 23.05%, respectively, finding analyzed values within the optimal ranges. This in turn reflected a 39.61% improvement with respect to the humidity percentage, measured in the mixing stage, thus improving the quality of the final product, which brings with it a significant increase of 84.44% in production levels.</p>

scholarly journals Statistical Quantification for Supporting Geographical Research in Natural Resource Inventory and Evaluation

2004 ◽  
Vol 13 (2) ◽  
Author(s):  
Sukendra Martha
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Natural Resources ◽  
Natural Resource ◽  
Research System ◽  
Data Collection Process ◽  
Resource Inventory ◽  
Quantitative Statistics ◽  
Natural Resources Inventory

In supporting geographical researches, statistical quantifications are required to assist natural resources inventory and evaluation. Statistical analysis for any research either in  sciences will represent the result quality of the research. To do this, all research system implementations. Started from data collection, process to their presentation need to apply quantitative statistics data and numbers. This paper is meant as introducing all geography researchers in conducting researh tasks, particularly in the field natural resources inventory and evaluation.

On the use of active mobile and stationary devices for detailed traffic data collection: A simulation-based evaluation

2021 ◽  
Vol 03 (01) ◽  
pp. 01-09
Author(s):  
Henrik Fredriksson ◽  
Johan Holmgren ◽  
Mattias Dahl
Keyword(s):  
Data Collection ◽  
Mobile Devices ◽  
Transportation Network ◽  
Traffic Data ◽  
Identification Rate ◽  
Traffic Data Collection ◽  
Geographic Coverage ◽  
Data Collection Process ◽  
Measurement Devices ◽  
Mobile Measurement

The process of collecting traffic data is a key component to evaluate the current state of a transportation network and to analyze movements of vehicles. In this paper, we argue that both active stationary and mobile measurement devices should be taken into account for high-quality traffic data with sufficient geographic coverage. Stationary devices are able to collect data over time at certain locations in the network and mobile devices are able to gather data over large geographic regions. Hence, the two types of measurement devices have complementary properties and should be used in conjunction with each other in the data collection process. To evaluate the complementary characteristics of stationary and mobile devices for traffic data collection, we present a traffic simulation model, which we use to study the share of successfully identified vehicles when using both types of devices with varying identification rate. The results from our simulation study, using freight transport in southern Sweden, shows that the share of successfully identified vehicles can be significantly improved by using both stationary and mobile measurement devices.

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