Building Identification Wizard : Version 1.5.1

Abstract

This document discusses the Worldwide Construction Practices Building Identification Wizard program version 1.5.1, which provides a guided user interface that aids in the identification of building construction types and facilitates access to the Worldwide Construction Practices database. It provides an in-depth look into the program's user interface, the Sequential Statistical Evaluation of Building Parameters (SSEBP) algorithm used to determine building types, the export methods used to link information from the Worldwide Construction Practices database with other Army software, and a technical discussion of the internal components of the program. The intent of this report is to thoroughly explain the Building Identification Wizard and provide an understanding of the program from a technical and user-friendly standpoint. DISCLAIMER: The contents of this report are not to be used for advertising, publication, or promotional purposes. Citation of trade names does not constitute an official endorsement or approval of the use of such commercial products. All product names and trademarks cited are the property of their respective owners. The findings of this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents.

The importance of migratory drop-off for island colonization in birds

“…All analyses were performed in R version 4.2.2 using the packages ape 5.7–1 [ 47 ], foreign 0.8–84 [ 48 ], ggplot2 3.4.4 [ 49 ], mapplots 1.5.1 [ 50 ], phylolm 2.6.2 [ 51 ], Rphylopars 0.3.9 [ 52 ] and scales 1.2.1 [ 53 ].…”

– The IAFOR International Conference on Education – Hawaii 2022 Official Conference Proceedings

“…The procedure of the study largely followed that of Nakayama (2021) for the analysis of MEXT-approved textbooks intended for senior high school students. He adopted a unique approach for the study as currently available corpus-analysis tools compatible with the NGSL such as AntWordProfiler 1.5.1 (Anthony, 2021), the Online Graded Text Editor (Waring & Browne, n.d.), and VocabProfiler (Cobb, 2021a) are not geared toward analyzing the NGSL itself but only imported texts of interest. Another rationale for not using these tools were that they sometimes incorrectly identify the intended meaning of homographs or components of contracted forms (e.g., "I'd" used as "I would" or "I had").…”

Making Beverage Service Word List for English for Specific Purposes Classroom

“…This reduces the number of irrelevant words. Generally, the AntWordProfiler programme (Anthony, 2021) and Range (Heatley et al, 2002), are used to do lexical profiling. The programmes operate by dividing words into four groups.…”

“…Tangpijaikul (2014) and Rungrueang et al (2022) decided not to use frequency and range and used keyword analysis instead to construct the Technical Keywords for Business and the Food Service Word List, respectively. Laosrirattanachai and Ruangjaroon (2020;2021) used keyword analysis to put back in words that had been removed because of their appearance in the GSL and AWL during the lexical profiling.…”

“…Each drink also has the types of foods that are commonly eaten with beverages to enhance the flavour. All the menus were collected by manually copying and pasting and then saving in the format of *.txt files as suitable input to the computer software programme that we used for analysing the data, namely AntWordProfiler (Anthony, 2021). In total, from all the website beverage menus, 1,729 menus were collected to compile the BSC.…”