Error Estimation for Indirect Measurements: Interval Computation Problem is (Slightly) Harder than a Similar Probabilistic Computational Problem

1998 ◽  
pp. 331-346
Author(s):  
Vladik Kreinovich ◽  
Anatoly Lakeyev ◽  
Jiří Rohn ◽  
Patrick Kahl
Keyword(s):  
Error Estimation ◽  
Interval Computation ◽  
Indirect Measurements ◽  
Computational Problem

scholarly journals Error estimation of the physical and mechanical characteristics measurements by indentation

2018 ◽  
Vol 9 (3) ◽  
pp. 263-271
Author(s):  
A. P. Kren ◽  
O. V. Matsulevich ◽  
M. N. Delendik
Keyword(s):  
Measurement Error ◽  
Error Estimation ◽  
Evaluation System ◽  
Mechanical Characteristics ◽  
Physical And Mechanical Properties ◽  
Strain Hardening Exponent ◽  
Indirect Measurements ◽  
Static Indentation ◽  
Indentation Methods ◽  
Physical And Mechanical Characteristics

The active application in the practice of testing the indentation methods, in particular to measure the physical and mechanical properties of metals, polymers, biological technologies demands to development techniques for the measurement error estimation. At the same time existing traditional measurement error evaluation system, based on the using of the reference blocks, is not always suitable for use in testing and research laboratories. The aim of this work was development the technique for estimating the indirect measurements error of materials physical and mechanical characteristics that can be applied in practice and based on the existing standards. Checking of the proposed approach using the experimental values of the hardness and elastic modulus obtained during static indentation for various metals.It is shown that since the initial information about the material is an indentation curve representing the dependence of the load versus penetration depth of the indenter into the material tested, then it is better to confirm the metrological characteristics of the indentation measuring devices using the applied force and achieved displacement, but to estimate the accuracy of determining the properties through the error of indirect measurements. The equations for calculating the hardness and modulus of elasticity are derived. It allows to determine the component value most influencing the error magnitude. The calculation of error on the base of the value of boundary of a random and non-exclusive systematic error was carrying out.The advantage of the developed technique is the fact that the measurement of the physical and mechanical characteristics is based on the experimental data and does not require the creation of the additional metrological assurance. The proposed approach seems appropriate to extend for the determination of the measurement error of other characteristics: the yield point, the strain hardening exponent, creep, relaxation, determined by the indentation methods.

Indirect measurements in micro-space with the EM

1995 ◽  
Vol 53 ◽  
pp. 598-599
Author(s):  
Sterling P. Newberry
Keyword(s):  
Electron Microscope ◽  
Standard Model ◽  
Particle Physics ◽  
Information Storage ◽  
Storage Space ◽  
Indirect Measurements ◽  
Storage And Retrieval ◽  
Adequate Information ◽  
Compelling Reason ◽  
The Standard Model

At the 1958 meeting of our society, then known as EMSA, the author introduced the concept of microspace and suggested its use to provide adequate information storage space and the use of electron microscope techniques to provide storage and retrieval access. At this current meeting of MSA, he wishes to suggest an additional use of the power of the electron microscope.The author has been contemplating this new use for some time and would have suggested it in the EMSA fiftieth year commemorative volume, but for page limitations. There is compelling reason to put forth this suggestion today because problems have arisen in the “Standard Model” of particle physics and funds are being greatly reduced just as we need higher energy machines to resolve these problems. Therefore, any techniques which complement or augment what we can accomplish during this austerity period with the machines at hand is worth exploring.

PENILAIAN KESEHATAN TERUMBU KARANG MENGGUNAKAN CITRA SATELIT WORLDVIEW-2 DI PULAU PAHAWANG, LAMPUNG, INDONESIA

2018 ◽  
Vol 2 ◽  
pp. 125
Author(s):  
Lukman Hakim
Keyword(s):  
Error Estimation ◽  
Standard Error ◽  
Red Edge ◽  
Standard Error Estimation

<p>Perairan laut Lampung sebagai bagian kecil dari ekosistem terumbu karang Indonesia terindikasi memiliki tren penurunan kualitas karena aktivitas pelayaran dan pariwisata yang ekstensif khususnya di Pulau Pahawang. Kontrol kondisi terumbu karang pada wilayah ini menjadi kegiatan vital dalam rangkaian konservasi sumber daya laut. Sayangnya, pemetaan kesehatan terumbu karang memerlukan survei detail yang memakan banyak waktu, biaya, dan tenaga. Citra sebagai produk data penginderaan jauh hadir sebagai solusi monitoring terumbu karang secara cepat, murah, dan dalam jangkauan wilayah yang relatif luas. Tujuan dari penelitian ini adalah untuk memetakan kesehatan terumbu karang melalui citra WorldView-2 (WV-2) serta menguji akurasi peta yang dihasilkan. Metode yang digunakan untuk memetakan kesehatan terumbu karang adalah transformasi nilai <em>pixel</em> pada <em>band-band</em> WV-2 menjadi nilai original objek dengan urutan: 1) koreksi atmosfer (<em>Top of Atmospheric Reflectance)</em>, 2) koreksi kilap air (<em>sun glint</em>), dan 3) koreksi kolom air (metode <em>lyzenga</em>) menghasilkan 15 <em>band</em> DII (<em>depth invariant bottom index</em>). Kelima belas <em>band</em> DII tersebut diubah menjadi nilai kesehatan terumbu karang dengan cara regresi antara nilai <em>pixel</em> pada <em>band</em> DII dengan nilai rasio kesehatan terumbu karang aktual yang diperoleh dari proses kalkulasi acak titik foto transek di lapangan. Tiga tipe regresi (linier, eksponen, dan polinomial) dilakukan untuk melihat persamaan terbaik yang bisa digunakan untuk mentransformasi nilai <em>pixel</em> ke nilai kesehatan terumbu karang. Persamaan terbaik kemudian diimplementasikan menjadi model kesehatan terumbu karang untuk kemudian diuji akurasi menggunakan metode <em>Standard Error Estimation</em>. Hasil terbaik diperoleh pada regresi antara rasio kesehatan terumbu karang dengan <em>b</em><em>and</em> DII <em>Coastal Red-Edge</em> dengan koefisien determinasi (R<sup>2</sup>) sebesar 0,6553 dan akurasi pemetaan sebesar 70,191%. Nilai tersebut menunjukan bahwa citra WV-2 memiliki potensi untuk menjadi instrumen monitoring ekosistem marine yang layak.</p><p><strong>Kata Kunci: </strong>Depth Invariant Bottom Index, Kesehatan Terumbu Karang, Lyzenga, Regresi, WorldView-2<strong></strong></p>

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