Subsurface mapping: selection of best interpolation method for borehole data analysis

2018 ◽  
Vol 26 (3) ◽  
pp. 261-269
Author(s):  
O. A. Bamisaiye
Keyword(s):  
Data Analysis ◽  
Interpolation Method ◽  
Borehole Data ◽  
Subsurface Mapping ◽  
Selection Of

Failure Analysis Enhancement by Incorporating a Compact Scan Diagnosis System

2014 ◽  
Author(s):  
Rommel Estores ◽  
Pascal Vercruysse ◽  
Karl Villareal ◽  
Eric Barbian ◽  
Ralph Sanchez ◽  
...  
Keyword(s):  
Data Analysis ◽  
Failure Analysis ◽  
Real Analysis ◽  
Failure Data ◽  
Analysis Methodology ◽  
Efficiency And Effectiveness ◽  
Scan Chain ◽  
On Chip ◽  
Analysis Environment ◽  
Selection Of

Abstract The failure analysis community working on highly integrated mixed signal circuitry is entering an era where simultaneously System-On-Chip technologies, denser metallization schemes, on-chip dissipation techniques and intelligent packages are being introduced. These innovations bring a great deal of defect accessibility challenges to the failure analyst. To contend in this era while aiming for higher efficiency and effectiveness, the failure analysis environment must undergo a disruptive evolution. The success or failure of an analysis will be determined by the careful selection of tools, data and techniques in the applied analysis flow. A comprehensive approach is required where hardware, software, data analysis, traditional FA techniques and expertise are complementary combined [1]. This document demonstrates this through the incorporation of advanced scan diagnosis methods in the overall analysis flow for digital functionality failures and supporting the enhanced failure analysis methodology. For the testing and diagnosis of the presented cases, compact but powerful scan test FA Lab hardware with its diagnosis software was used [2]. It can therefore easily be combined with the traditional FA techniques to provide stimulus for dynamic fault localizations [3]. The system combines scan chain information, failure data and layout information into one viewing environment which provides real analysis power for the failure analyst. Comprehensive data analysis is performed to identify failing cells/nets, provide a better overview of the failure and the interactions to isolate the fault further to a smaller area, or to analyze subtle behavior patterns to find and rationalize possible faults that are otherwise not detected. Three sample cases will be discussed in this document to demonstrate specific strengths and advantages of this enhanced FA methodology.

K-MEANS CLUSTERING ALGORITHM FOR SERVICE DATA ANALYSIS BASED ON CUSTOMERS COMBINATION

2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Clustering Algorithm ◽  
Customer Complaints ◽  
Using Data ◽  
Clustering Data ◽  
Service Data ◽  
Selection Of

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.

scholarly journals Open Plot Project: an open-source toolkit for 3-D structural data analysis

Solid Earth ◽  
2011 ◽  
Vol 2 (1) ◽  
pp. 53-63 ◽  
Author(s):  
S. Tavani ◽  
P. Arbues ◽  
M. Snidero ◽  
N. Carrera ◽  
J. A. Muñoz
Keyword(s):  
Spatial Distribution ◽  
Data Analysis ◽  
Open Source ◽  
Open Source Software ◽  
Source Code ◽  
Structural Data ◽  
Geological Modelling ◽  
Analysis Tools ◽  
Transect Analysis ◽  
Selection Of

Abstract. In this work we present the Open Plot Project, an open-source software for structural data analysis, including a 3-D environment. The software includes many classical functionalities of structural data analysis tools, like stereoplot, contouring, tensorial regression, scatterplots, histograms and transect analysis. In addition, efficient filtering tools are present allowing the selection of data according to their attributes, including spatial distribution and orientation. This first alpha release represents a stand-alone toolkit for structural data analysis. The presence of a 3-D environment with digitalising tools allows the integration of structural data with information extracted from georeferenced images to produce structurally validated dip domains. This, coupled with many import/export facilities, allows easy incorporation of structural analyses in workflows for 3-D geological modelling. Accordingly, Open Plot Project also candidates as a structural add-on for 3-D geological modelling software. The software (for both Windows and Linux O.S.), the User Manual, a set of example movies (complementary to the User Manual), and the source code are provided as Supplement. We intend the publication of the source code to set the foundation for free, public software that, hopefully, the structural geologists' community will use, modify, and implement. The creation of additional public controls/tools is strongly encouraged.

scholarly journals ANALISIS PERILAKU KONSUMEN YANG MEMPENGARUHI PEMILIHAN TEMPAT WISATA PANTAI DENDANG MELAYU BATAM

2019 ◽  
Vol 3 (1) ◽  
pp. 22-28
Author(s):  
Muhammad Rasyid Ridho Lubis ◽  
Dwi Kartikasari
Keyword(s):  
Data Analysis ◽  
Consumer Behavior ◽  
Psychological Factors ◽  
City Government ◽  
Tourist Attraction ◽  
Analysis Method ◽  
Tourist Attractions ◽  
Material Evaluation ◽  
The Government ◽  
Selection Of

Dendang Melayu Beach is a public beach that is being developed by the Batam City Government. Although various efforts have been made by the government to increase the number of visitors to this beach, it turns out that the number of visitors has not necessarily increased consistently but fluctuated up and down. Therefore, this research was carried out to further explore the behavior of visitors in the hope that it could become a material evaluation of the government in developing this tourist attraction. This study aims to examine the effect of consumer behavior on the selection of Dendang Melayu Beach tourist attractions. The respondents of this study were 100 tourists who visited the Batam Dendang Beach. The data analysis method used is inductive statistics using multiple linear regression. The results of this study are the four variables of consumer behavior namely cultural, social, personal and psychological factors partially positive and significant effect on the choice of tourist attractions.

scholarly journals KARAKTERISTIK PETANI BERLAHAN SEMPIT DI DESA TOLOK KECAMATAN TOMPASO

2020 ◽  
Vol 16 (1) ◽  
pp. 105
Author(s):  
Miranda Mandang ◽  
Mex Frans Lodwyk Sondakh ◽  
Olly Esry Harryani Laoh
Keyword(s):  
Data Analysis ◽  
Low Income ◽  
Agricultural Sector ◽  
Smallholder Farmers ◽  
Secondary Data ◽  
Primary Data ◽  
The Internet ◽  
Tabular Form ◽  
Additional Income ◽  
Selection Of

This study aims to determine the characteristics of smallholder farmers in Tolok Village, Tompaso District. The study was conducted in August to September 2019. The selection of samples in this study was carried out purposevley with 33 respondent farmers, namely those who have small size of land of less than 0.5 hectares. The data used in this study are primary data and secondary data. Primary data collected through interviews and observations. Secondary data were obtained from the Tolok Village office, library and the Internet. Data analysis uses description analysis, which describes the characteristics of smallholder farmers and is presented in tabular form. The results showed that farmers who have small size of land with low income and are unable to rely solely on the agricultural sector as a source of income. The non-agricultural sector is also used as a source of additional income to meet their needs.*eprm*

scholarly journals Book Review: An Introduction to Music Therapy Research

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Lori Fogus Gooding
Keyword(s):  
Mixed Methods ◽  
Data Analysis ◽  
Music Therapy ◽  
Mixed Methods Research ◽  
Quantitative Research ◽  
Specific Research ◽  
Theoretical Perspectives ◽  
Selection Of ◽  
Detailed Presentation

An Introduction to Music Therapy Research, edited by Barbara Wheeler and Kathleen Murphy, is a 20-chapter that provides overview of how research has been conceived and implemented in music therapy. The text is geared to those beginning their studies in music therapy and as such address all stages of research, beginning with foundational aspects like selection of a topic before moving to a more detailed presentation of specific research components like data analysis and interpretation of results. Objectivist (qualitative) and interpretivist (quantitative research) theoretical perspectives, methodologies, and methods are included in the book, as well as information on mixed methods research and important historical, ethical, and multicultural considerations.

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