Ensembles of Optimum-Path Forest Classifiers Using Input Data Manipulation and Undersampling

2013 ◽  
pp. 236-246 ◽  
Author(s):  
Moacir P. Ponti ◽  
Isadora Rossi
Keyword(s):  
Input Data ◽  
Data Manipulation ◽  
Optimum Path

scholarly journals The influence of refinement strategies on the wavefunctions derived from an experiment

2021 ◽  
Vol 77 (5) ◽  
pp. 715-727
Author(s):  
Bruno Landeros-Rivera ◽  
Julia Contreras-García ◽  
Paulina M. Dominiak
Keyword(s):  
Experimental Data ◽  
Input Data ◽  
Theoretical Data ◽  
Chemical Physics ◽  
Data Manipulation ◽  
X Ray ◽  
Data Resolution ◽  
Refinement Strategy ◽  
Theory And Experiment

The synergy between theory and experiment found in X-ray wavefunction refinement (XWR) makes it one of the most compelling techniques available for chemical physics. The foremost benefit of XWR – obtaining wavefunctions constrained to experimental data – is at the same time its Achilles heel, because of the dependence of the results on the quality of both empirical and theoretical data. The purpose of this work is to answer the following: What is the effect of the refinement strategy and manipulation of input data on the physical properties obtained from XWR? With that in mind, cutoffs based on data resolution and F/σ(F) ratios were applied for both steps of XWR, the Hirshfeld atom refinement (HAR) and the X-ray constrained wavefunction fitting (XCW), for four selected systems: sulfur dioxide, urea, carbamazepine and oxalic acid. The effects of changing the weighting scheme or the method to transform σ(F 2) to σ(F) were also analysed. The results show that while HAR always reaches the same result, XCW is extremely sensitive to crystallographic data manipulation. This is a result of the variability of the experimental uncertainties for different resolution shells, and of not having proper standard uncertainties. Therefore, the use of distinct constraints for each resolution interval in XCW is proposed to fix this instability.

Transmission Electron Diffraction Analysis by Computer

1970 ◽  
Vol 28 ◽  
pp. 40-41
Author(s):  
R.A. Ploc ◽  
G.H. Keech
Keyword(s):  
Electron Diffraction ◽  
Input Data ◽  
Reciprocal Lattice ◽  
Computer Programme ◽  
Transmission Electron Diffraction ◽  
Usual Procedure ◽  
Transmission Electron ◽  
Complex Shapes ◽  
Computer Input ◽  
Diffraction Effects

An unambiguous analysis of transmission electron diffraction effects requires two samplings of the reciprocal lattice (RL). However, extracting definitive information from the patterns is difficult even for a general orthorhombic case. The usual procedure has been to deduce the approximate variables controlling the formation of the patterns from qualitative observations. Our present purpose is to illustrate two applications of a computer programme written for the analysis of transmission, selected area diffraction (SAD) patterns; the studies of RL spot shapes and epitaxy.When a specimen contains fine structure the RL spots become complex shapes with extensions in one or more directions. If the number and directions of these extensions can be estimated from an SAD pattern the exact spot shape can be determined by a series of refinements of the computer input data.

Bankruptcy Model Construction and its Limitation in Input Data Quality

2019 ◽  
Vol 10 (2) ◽  
pp. 117-125
Author(s):  
Dana Kubíčková ◽  
◽  
Vladimír Nulíček ◽  
Keyword(s):  
Data Quality ◽  
Normal Distribution ◽  
Input Data ◽  
Model Construction ◽  
The Third ◽  
Third Stage ◽  
Discriminant Analyses ◽  
One Year ◽  
The University ◽  
Multivariate Discriminant

The aim of the research project solved at the University of Finance and administration is to construct a new bankruptcy model. The intention is to use data of the firms that have to cease their activities due to bankruptcy. The most common method for bankruptcy model construction is multivariate discriminant analyses (MDA). It allows to derive the indicators most sensitive to the future companies’ failure as a parts of the bankruptcy model. One of the assumptions for using the MDA method and reassuring the reliable results is the normal distribution and independence of the input data. The results of verification of this assumption as the third stage of the project are presented in this article. We have revealed that this assumption is met only in a few selected indicators. Better results were achieved in the indicators in the set of prosperous companies and one year prior the failure. The selected indicators intended for the bankruptcy model construction thus cannot be considered as suitable for using the MDA method.

A Clinometric Technique for Relief Derivation from Redundant or Deficient Input Data

2008 ◽  
Vol 67 (18) ◽  
pp. 1605-1620
Author(s):  
Yu. V. Kornienko ◽  
S.I. Skuratovskiy ◽  
I. A. Dulova
Keyword(s):  
Input Data

Algorithms Applied in Turbomachine Modeling with Variable Input Data

2009 ◽  
Vol 12 (-1) ◽  
pp. 204-218
Author(s):  
Paweł Pietkiewicz
Keyword(s):  
Input Data

ANALISA KAWASAN BANJIR DI KECAMATAN SUNGAI AMBAWANG

2016 ◽  
Vol 4 (1) ◽  
Author(s):  
Aditya Abiharyo
Keyword(s):  
Input Data

ABSTRAK Sungai Ambawang merupakan salah satu Kecamatan yang ada di Kabupaten Kubu Raya.  Kondisi topografi Kecamatan Sungai Ambawang relatif datar sehingga daerah ini sering terjadi banjir secara periodik. Untuk itu perlu dilakukan kajian ilmiah tentang kondisi lingkungan serta besarnya debit banjir  dan pemetaan daerah rawan banjir di wilayah Kecamatan Sungai Ambawang Kabupaten Kubu Raya. Penelitian ini menggunakan data primer dan data sekunder. Data sekunder antara lain data curah hujan, peta-peta seperti peta tata guna lahan, peta kemiringan lereng, dan peta jenis tanah,  sedangkan data primer yang digunakan adalah data kecepatan aliran sungai dan luas penampang sungai. Analisis besarnya debit banjir dilakukan dengan analisa curah hujan rancangan menggunakan Log Person tipe III dan analisa perhitungan debit banjir dengan menggunakan rumus rasional. Sedangkan untuk membuat peta rawan banjir menggunakan analisa data spasial data sekunder dengan software Arcgis. Setelah itu diberikan skoring parameter kerentanan pada peta tematik yang sudah diolah dan juga data curah hujan, setelah itu melakukan pengabungan/ tumpang tindih (Overlay) terhadap semua peta tematik tersebut. Kemudian melakukan analisis nilai kerentanan banjir dan melakukan input data kedalam peta yang sudah digabungkan dan akan didapatkan peta rawan banjir. Hasil analisa menunjukkan semua Sub DAS yang terdapat di Kecamatan Sungai Ambawang dapat menampung debit rencana yang ada. Daerah rawan banjir memiliki lima kategori yaitu daerah  sangat rentan seluas 218,30 km2, daerah rentan seluas 117,07 km2, daerah sedang seluas 627,86, km2, daerah kurang rentan seluas 166,97 km2, dan yang terakhir daerah tidak rentan seluas 0,07 km2. Analisa daerah rawan banjir ini dilakukan berdasarkan pemberian skoring dengan melihat kondisi fisik kawasan Kecamatan Sungai Ambawang.   Kata- Kata Kunci: Peta rawan banjir, tata guna lahan, perangkat lunak Arcgis.

DARCY RIBEIRO UNIVERSITY CAMPUS MAP – 2017- TECHNICAL NOTE

2018 ◽  
Vol 7 (2) ◽  
Author(s):  
Rafael Sanzio Araújo dos Anjos ◽  
Jose Leandro de Araujo Conceição ◽  
Jõao Emanuel ◽  
Matheus Nunes
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Technical Note ◽  
University Campus ◽  
Communication Tool ◽  
Sources Of Information ◽  
Data Manipulation ◽  
Geographic Space ◽  
The Many ◽  
New Generation

The spatial information regarding the use of territory is one of the many strategies used to answer and to inform about what happened, what is happening and what may happen in geographic space. Therefore, the mapping of land use as a communication tool for the spatial data made significant progress in improving sources of information, especially over the last few decades, with new generation remote sensing products for data manipulation.

Otomatisi pembangkit program nc berdasarkan gambar input autocad 2d untuk machining centre mc-520

2019 ◽  
Vol 1 (1) ◽  
pp. 10
Author(s):  
Bukhari Bukhari
Keyword(s):  
Input Data ◽  
Part Program ◽  
G Code ◽  
Interchange Format

Part program NC merupakan prosedur yang menentukan urutan proses dan posisi pahat relatif terhadap benda kerja yang harus di ikuti oleh mesin untuk membuat suatu komponen produk tertentu. Pembuatan part program NC membutuhkan seorang programmer yang mampu membaca gambar teknik dengan baik, mengenal proses permesinan, dan mampu mengubah informasi gambar tersebut secara benar. Dalam makalah ini dipresentasikan sebuah program pembaca file gambar AutoCAD yang berformat *DWG (Drawing) terlebih dahulu dirubah kedalam format *DXF (Drawing Interchange Format). Semua isi file yang di inputkan dibaca dari awal sampai akhir, yang kemudian disimpan dalam sebuah buffer data. Pada tahap selanjutnya buffer data tersebut akan diekstraksi guna pendefinisian jenis feature, origin feature, dan dimensi feature. Berdasarkan tiga informasi data tersebut maka program pembaca file gambar akan membangkitkan sebuah part program NC dalam format Bahasa manual (G-Code) untuk penerapan pada mesin MC-520. Penggunaan program pembangkit program NC ini dalam suatu proses akan dapat menekan anggka kesalahan input data pada saat pembuatan program NC, mereduksi waktu pembuatan program NC yang secara keseluruhan juga akan mengurangi waktu produksi.

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