scholarly journals The Effect of TLS Radome on GNSS Precise Positioning

2019 ◽  
Vol 94 ◽  
pp. 03012
Author(s):  
Dhota Pradipta ◽  
Dudy D. Wijaya ◽  
Heri Andreas ◽  
Dina A. Sarsito
Keyword(s):  
Data Processing ◽  
Significant Influence ◽  
Noise Level ◽  
Double Difference ◽  
Minor Phase ◽  
Raw Data ◽  
Phase Center ◽  
Precise Positioning ◽  
Systematic Effects ◽  
Phase Center Variations

This article presents the results of a test carried out to check the usability of spherical TLS targets as GNSS antenna radomes (herein called TLS radomes). On different days, the survey was conducted using two GNSS antennas, one of them with a TLS radome. Measurements were made using 2 roof pillars on the rooftop as base-rover pillars with little obstruction. The measurements were carried out for approximately 1 hour in every scenario. The software used for data processing is MATLAB-based software and the raw data were processed using the double difference (DD) strategy to obtain optimal results. The results of the data processing indicated that the TLS radome has no significant influence on availability and accuracy of estimated position. The signals are slightly attenuated by the radome (1-2 dBHz) and the noise level is slightly increased but both effects are negligible for practical purposes. However, we found that the antenna should be calibrated with the TLS radome to clarify apparent minor phase center eccentricities (1-2 mm) and to reduce systematic effects with long periods (few minutes) and amplitudes up to about 5 mm which are likely due to phase center variations.

The Maritime Administration Maintenance and Repair Data Processing and Evaluation System

1969 ◽  
Vol 6 (01) ◽  
pp. 48-57
Author(s):  
Edward S. Karlson ◽  
John J. Davis
Keyword(s):  
Data Processing ◽  
Evaluation System ◽  
Data System ◽  
Automatic Data Processing ◽  
Coding System ◽  
Raw Data ◽  
Automatic Data ◽  
Maintenance And Repair ◽  
Operational System

An operational system for providing processed maintenance and repair information for vessels is described. Content includes description of a detailed coding system for reducing raw data to composite code numbers suitable for automatic data processing. Objectives of the system and constraints thereon are discussed. The Marad data system has been operational for four years. Scope of data processed and its utilization are presented. Seven current studies concerning vessels as a whole and specific shipboard equipments are included.

Peculiarities of Maser Data Correlation / Postcorrelation in Radioastron Mission

2017 ◽  
Vol 13 (S336) ◽  
pp. 443-444
Author(s):  
I. D. Litovchenko ◽  
S. F. Likhachev ◽  
V. I. Kostenko ◽  
I. A. Girin ◽  
V. A. Ladygin ◽  
...  
Keyword(s):  
Spectral Line ◽  
Data Processing ◽  
Detection Rate ◽  
Angular Size ◽  
Data Archive ◽  
Data Correlation ◽  
Raw Data ◽  
Unique Data ◽  
Technical Requirements ◽  
Upper Limits

AbstractWe discuss specific aspects of space-ground VLBI (SVLBI) data processing of spectral line experiments (H2O & OH masers) in Radioastron project. In order to meet all technical requirements of the Radioastron mission a new software FX correlator (ASCFX) and the unique data archive which stores raw data from all VLBI stations for all experiments of the project were developed in Astro Space Center. Currently all maser observations conducted in Radioastron project were correlated using the ASCFX correlator. Positive detections on the space-ground baselines were found in 38 sessions out of 144 (detection rate of about 27%). Finally, we presented upper limits on the angular size of the most compact spots observed in two galactic H2O masers, W3OH(H2O) and OH043.8-0.1.

scholarly journals Analisis Penerimaan dan Penggunaan Aplikasi Gojek Menggunakan Model UTAUT

2020 ◽  
Vol 1 (1) ◽  
pp. 85-95
Author(s):  
Nadiyah Hidayati ◽  
Yudi Ramdhani
Keyword(s):  
Data Processing ◽  
Social Influence ◽  
Significant Influence ◽  
Behavioral Intention ◽  
Strong Relationship ◽  
Performance Expectancy ◽  
Use Of Technology ◽  
Data Processing Method ◽  
Effort Expectancy ◽  
Facilitating Conditions

Abstrak Objektif. Aplikasi Gojek merupakan aplikasi berbasis android yang menjadi pintu masuk bagi pelanggan untuk mendapatkan layanan yang disediakan PT Gojek Indonesia. Penelitian ini dilakukan untuk menganalisa faktor-faktor yang mempengaruhi penerimaan dan penggunaan aplikasi Gojek menggunakan model Unified Theory of Acceptance and Use of Technology (UTAUT) dengan 4 variabel bebas dan 1 variabel terikat yaitu ekspektasi kinerja, ekspektasi usaha, faktor sosial, kondisi-kondisi pemfasilitasi, dan niat perilaku. Penelitian ini dilakukan terhadap 100 responden pengguna aplikasi Gojek  pada SMK MVP Ars Internasional. Material and Metode. Model UTAUT digunakan untuk mengetahui tingkat keberhasilan penerimaan aplikasi Gojek agar dapat diterima oleh masyarakat. Metode pengolahan data yang digunakan adalah regresi linear berganda yang menggunakan software SPSS 22. Hasil. Dari pengolahan data tersebut didapatkan hasil bahwa variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial dan kondisi-kondisi pemfasilitasi memiliki nilai korelasi sebesar 0,867 terhadap niat perilaku, artinya antara variabel independen dan dependen dalam penelitian ini memiliki hubungan yang sangat kuat, nilai R Square (R2) sebesar 75,2% sedangkan sisanya dipengaruhi variabel lain. Kesimpulan. Dengan demikian dapat disimpulkan bahwa secara simultan, variabel ekspektasi kinerja, ekspektasi usaha, faktor sosial, dan kondisi-kondisi pemfasilitasi berpengaruh secara positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan secara parsial, hanya variabel ekspektasi kinerja dan faktor sosial yang memiliki pengaruh positif dan signifikan terhadap niat perilaku aplikasi Gojek. Sedangkan variabel ekspektasi usaha dan kondisi-kondisi pemfasilitasi tidak memiliki pengaruh positif dan signifikan terhadap niat perilaku dalam menggunakan aplikasi Gojek. Abstrack Objective. Gojek application is an android-based application that is the entrance for customers to get the services provided PT Gojek Indonesia. This study was conducted to analyze the factors that influence the acceptance of Gojek applications using the UTAU) method with 4 independent variables and 1 dependent variable namely Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, and Behavioral Intention. This research was conducted on 100 respondents of the Gojek application SMK MVP Ars International. Materials and Methods. The UTAUT model is used to determine the level of success in accepting Gojek applications to be accepted by the community. The data processing method used is multiple linear regression using SPSS 22 software. Results From the data processing, the results show that the variables of performance expectancy, effort expectancy, social influence, and facilitating conditions have a correlation value of 0,867 to behavioral intention, meaning between independent and dependent variables in this study has a strong relationship, the value of R Square (R2) of 75,2% while the rest is influenced by other variables. Conclusion. Thus it can be concluded that simultaneously, the variable performance expectancy, effort expectancy, social influence, and facilitating conditions positively and significantly affect the behavioral intention of Gojek applications. While partially, only the performance expectancy and social influence variables that have a positive and significant influence on the behavioral intention of Gojek application. While the effort expectancy and facilitating conditions variable does not have a positive and significant influence on Behavioral Intentionin using the Gojek application.

scholarly journals Quality Assessment of Imputations in Administrative Data

2015 ◽  
Vol 31 (2) ◽  
pp. 231-247 ◽  
Author(s):  
Matthias Schnetzer ◽  
Franz Astleithner ◽  
Predrag Cetkovic ◽  
Stefan Humer ◽  
Manuela Lenk ◽  
...  
Keyword(s):  
Data Processing ◽  
Data Quality ◽  
Quality Assessment ◽  
Administrative Data ◽  
Raw Data ◽  
Computational Approaches ◽  
Data Level

Abstract This article contributes a framework for the quality assessment of imputations within a broader structure to evaluate the quality of register-based data. Four quality-related hyperdimensions examine the data processing from the raw-data level to the final statistics. Our focus lies on the quality assessment of different imputation steps and their influence on overall data quality. We suggest classification rates as a measure of accuracy of imputation and derive several computational approaches.

scholarly journals Pengaruh Gaya Kepemimpinan Kepala Sekolah dan Motivasi Kerja Guru Terhadap Kinerja Guru

2019 ◽  
Vol 9 (1) ◽  
pp. 81-98
Author(s):  
Adang Rukmana
Keyword(s):  
Data Processing ◽  
Leadership Style ◽  
Principal Leadership ◽  
Significant Influence ◽  
Work Motivation ◽  
Teacher Performance ◽  
Performance Achievement ◽  
Principal Leadership Style ◽  
Teacher Work

The results of the analysis show the principal leadership style, teacher work motivation simultaneously significant and significant to teacher performance, thus hypothesis. Based on the results of data processing and research results there was an influence between the leadership style of principals and work motivation on the performance of madrasah teachers by 26.9%. So it can be said the better the quality of leadership style of principal and work motivation, the better the performance of teachers. Based on these findings, it can be concluded: (1) There is a positive and significant influence between principal leadership style and four sub-variables on Executive Style and Developer Style (2) There is a positive and significant influence between principal leadership style on teacher performance Madrasah Tsanawiyah / MTsS (3) There is a positive and significant influence between work motivation on teacher performance, achievement of financial motivation. (4) There is a positive and significant influence between the principal's leadership style and the motivation of cooperation on teacher performance. (5) Managerial efforts to improve the principal's leadership style and work motivation and teacher performance by increasing the dimensions that determine these variables.

scholarly journals Pengaruh Reliability, Responsiveness, Assurance, Empathy dan Tangibles Terhadap Kepuasan Konsumen GrabBike

2020 ◽  
Vol 3 (2) ◽  
pp. 34
Author(s):  
Lusiana Lusiana ◽  
Salamun Pasda ◽  
Mustari Mustari ◽  
Muhammad Ihsan Said Ahmad ◽  
Muhammad Hasan
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Data Processing ◽  
Significant Influence ◽  
Random Sampling ◽  
Consumer Satisfaction ◽  
Quantitative Approach ◽  
Research Results ◽  
Transport Services ◽  
Analysis Technique

The purpose of this research are to see how reliability, responsiveness, assurance, empathy and tangibles affect the satisfaction of customer users of online transport services to UNM Economic students. Research conducted a method survey with quantitative approach. The population in this research is all students using grab bike online transport, ranging from 2016-2019 to 206 people. Sampling samples using technical samples of random sampling are 67 people. The instruments used to collect data are instruments of questionnaire, observation, and documentation. The data analysis technique used are regression analysis and hypothetical testing with T and F. data processing used SPSS version 21 for windows software. Research results show that variable as reliability, responsiveness, assurance, empathy, and tangibles are partial to positive and significant effects on users GrabBike online transport satisfaction. Simultaneously there is a positive and significant influence between reliability variables, responsiveness, assurance, empathy and tangibles to the consumer satisfaction users of GrabBike online transport services

The Deluge

Mirror Worlds ◽  
1991 ◽  
Author(s):  
David Gelernter
Keyword(s):  
Data Processing ◽  
Real World ◽  
Data Gathering ◽  
Middle Region ◽  
Raw Data ◽  
The Real ◽  
External Data ◽  
The World ◽  
Initial Question ◽  
The Subject

we’ve installed the foundation piles and are ready to start building Mirror worlds. In this chapter we discuss (so to speak) the basement, in the next chapter we get to the attic, and the chapter after that fills in the middle region and glues the whole thing together. The basement we are about to describe is filled with lots of a certain kind of ensemble program. This kind of program, called a Trellis, makes the connection between external data and internal mirror-reality. The Trellis is, accordingly, a key player in the Mirror world cast. It’s also a good example of ensemble programming in general, and, I’ll argue, a highly significant gadget in itself. The hulking problem with which the Trellis does battle on the Mirror world’s behalf is a problem that the real world, too, will be confronting directly and in person very soon. Floods of data are pounding down all around us in torrents. How will we cope? what will we do with all this stuff? when the encroaching electronification of the world pushes the downpour rate higher by a thousand or a million times or more, what will we do then? Concretely: I’m talking about realtime data processing. The subject in this chapter is fresh data straight from the sensor. we’d like to analyze this fresh data in “realtime”—to achieve some understanding of data values as they emerge. Raw data pours into a Mirror world and gets refined by a data distillery in the basement. The processed, refined, one-hundredpercent pure stuff gets stored upstairs in the attic, where it ferments slowly into history. (In the next chapter we move upstairs.) Trellis programs are the topic here: how they are put together, how they work. But there’s an initial question that’s too important to ignore. we need to take a brief trip outside into the deluge, to establish what this stuff is and where it’s coming from. Data-gathering instruments are generally electronic. They are sensors in the field, dedicated to the non-stop, automatic gathering of measurements; or they are full-blown infomachines, waiting for people to sit down, log on and enter data by hand.

Sign in / Sign up

Export Citation Format

Share Document