Incorporating Inline Inspection Internal Measurement Unit Data Analysis Into Integrity Management Programs

2020 ◽  
Author(s):  
Doug Dewar
Keyword(s):  
Data Analysis ◽  
Analysis Data ◽  
Third Party ◽  
Mitigation Measures ◽  
Measurement Unit ◽  
Pipeline System ◽  
Screening Process ◽  
Feature Screening ◽  
Raw Data ◽  
Internal Measurement

Abstract Inline Inspection Internal Measurement Unit (ILI IMU) data analysis is a well understood but often under-utilized technology for detecting, defining, assessing and monitoring soil to pipeline interactions. The technology has been successfully used to detect landslide interactions since 1996 [1]. Operators can be provided with a vendor analysis (initial bending strain or run to run movements) and/or processed raw data for either internal or third-party raw data Analysis [2]. Vendor Analysis typically identifies major soil/pipeline interactions but primarily reports dig related settlements [3] and static construction related features. Raw data analysis is typically used to define interactions and provide detailed pipe shapes and deformations within targeted pipeline segments. An approach for determining ILI IMU analysis/data requirements for individual ILI run segments for any size of pipeline system is presented. Guidelines for analysis are provided for Operators to optimize efforts based on the hazards encountered in individual pipelines or pipeline systems. The process includes feature screening, integrity/geotechnical specialist review and risk control/mitigation measures, if required. To facilitate the feature screening process, a classification system for ILI IMU features is presented based on their type, activity and source modified from the system presented in [3].

PENGEMBANGAN BAHAN AJAR BERBASIS PENDEKATAN OPEN ENDED PADA MATERI FPB/KPK KELAS IV UNTUK MENINGKATKAN KEMAMPUAN PENALARAN SISWA DI SD NEGERI TAMBAKREJO 01 SEMARANG

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Ambar Widianingrum ◽  
Joko Sulianto ◽  
Rahmat Rais
Keyword(s):  
Data Analysis ◽  
Research And Development ◽  
Teaching And Learning ◽  
Analysis Data ◽  
Field Trials ◽  
Teaching Materials ◽  
Initial Field ◽  
Analysis Technique ◽  
Quantitative Descriptive ◽  
Stage 1

The purpose of this study was to describe the feasibility of teaching materials based on an open-ended approach to improve the reasoning abilities of fourth grade students in elementary schools. This type of research is research and development (Research and Development). The subjects of this study were 3 classroom teachers. The data analysis technique used is descriptive qualitative data analysis (data reduction, data presentation and conclusion) and quantitative descriptive data analysis. Based on the results of stage 1 media validation, it was obtained 84.8%, and the results of stage 2 media validation were obtained 94.8%. The result of material validation for stage 1 was obtained 84.6%, and validation for material for stage 2 was obtained 93.3%. The results of initial field trials obtained media 93.7% and material 92.3%. This shows that the teaching material is declared valid and suitable for use. Based on the results of this study, the suggestion that can be conveyed is that teaching materials based on an open-ended approach can be used as a tool for teaching and learning resources for students.

scholarly journals A Summary of F-Transform Techniques in Data Analysis

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1771
Author(s):  
Ferdinando Di Martino ◽  
Irina Perfilieva ◽  
Salvatore Sessa
Keyword(s):  
Data Analysis ◽  
Analysis Data ◽  
High Dimensional ◽  
Sufficient Data ◽  
Fuzzy Transform ◽  
Transform Method ◽  
Data Density ◽  
Fuzzy Partitions ◽  
Definition Of ◽  
Performance Results

Fuzzy transform is a technique applied to approximate a function of one or more variables applied by researchers in various image and data analysis. In this work we present a summary of a fuzzy transform method proposed in recent years in different data mining disciplines, such as the detection of relationships between features and the extraction of association rules, time series analysis, data classification. After having given the definition of the concept of Fuzzy Transform in one or more dimensions in which the constraint of sufficient data density with respect to fuzzy partitions is also explored, the data analysis approaches recently proposed in the literature based on the use of the Fuzzy Transform are analyzed. In particular, the strategies adopted in these approaches for managing the constraint of sufficient data density and the performance results obtained, compared with those measured by adopting other methods in the literature, are explored. The last section is dedicated to final considerations and future scenarios for using the Fuzzy Transform for the analysis of massive and high-dimensional data.

scholarly journals A Review of Qualitative Data Analysis Practices in Health Education and Health Behavior Research

2018 ◽  
Vol 46 (1) ◽  
pp. 32-39 ◽  
Author(s):  
Ilana G. Raskind ◽  
Rachel C. Shelton ◽  
Dawn L. Comeau ◽  
Hannah L. F. Cooper ◽  
Derek M. Griffith ◽  
...  
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Health Education ◽  
Qualitative Analysis ◽  
Analysis Data ◽  
Research Process ◽  
Common Coding ◽  
Education And Health ◽  
Analytic Process ◽  
Member Checks

Data analysis is one of the most important, yet least understood, stages of the qualitative research process. Through rigorous analysis, data can illuminate the complexity of human behavior, inform interventions, and give voice to people’s lived experiences. While significant progress has been made in advancing the rigor of qualitative analysis, the process often remains nebulous. To better understand how our field conducts and reports qualitative analysis, we reviewed qualitative articles published in Health Education & Behavior between 2000 and 2015. Two independent reviewers abstracted information in the following categories: data management software, coding approach, analytic approach, indicators of trustworthiness, and reflexivity. Of the 48 ( n = 48) articles identified, the majority ( n = 31) reported using qualitative software to manage data. Double-coding transcripts was the most common coding method ( n = 23); however, nearly one third of articles did not clearly describe the coding approach. Although the terminology used to describe the analytic process varied widely, we identified four overarching trajectories common to most articles ( n = 37). Trajectories differed in their use of inductive and deductive coding approaches, formal coding templates, and rounds or levels of coding. Trajectories culminated in the iterative review of coded data to identify emergent themes. Few articles explicitly discussed trustworthiness or reflexivity. Member checks ( n = 9), triangulation of methods ( n = 8), and peer debriefing ( n = 7) were the most common procedures. Variation in the type and depth of information provided poses challenges to assessing quality and enabling replication. Greater transparency and more intentional application of diverse analytic methods can advance the rigor and impact of qualitative research in our field.

scholarly journals Examination of the Risk Assessment Levels of Athletes in Different Branches According to Some Variables

2018 ◽  
Vol 6 (10) ◽  
pp. 193
Author(s):  
Abdurrahman Kirtepe
Keyword(s):  
Risk Assessment ◽  
Data Analysis ◽  
Standard Deviation ◽  
Personal Information ◽  
Educational Status ◽  
Analysis Data ◽  
Descriptive Statistics ◽  
Income Status ◽  
Package Program ◽  
Sample Method

In this study, the risk assessment levels of athletes in different branches were examined in terms of various variables. Descriptive scanning model was used in the study. In the research, the survey was completed with a sample method of 105 people. The questionnaire was used as a data collection tool in the research. The questionnaire consists of questions about personal information and the Risk Assessment scale for athletes and coaches. Data analysis was performed in SPSS 21 package program. Descriptive statistics such as frequency, percent, and mean, standard deviation, minimum and maximum were used in data analysis. Data analysis was performed in SPSS 21 package program. Descriptive statistics such as frequency, percent, and mean, standard deviation, minimum and maximum were used in data analysis. As a result of the research, it was determined that the risk assessment perceptions of athletes according to their age, branches, educational status and income status did not differ. As a result of the research, it was determined that the risk assessment perceptions of athletes according to their age, branches, educational status and income status did not differ.

scholarly journals MOOD STRUCTURE TYPE OF THE CLAUSE ANALYSIS IN ENGLISH TEXT BOOKS OF SMA: A DISCOURSE STUDY BASED ON SYSTEMIC FUNCTIONAL LINGUISTIC THEORY

2018 ◽  
Vol 16 (2) ◽  
pp. 46-58
Author(s):  
Fatimah Kesuma Astuti
Keyword(s):  
Data Analysis ◽  
Qualitative Study ◽  
Analysis Data ◽  
Structure Type ◽  
English Text ◽  
Systemic Functional Linguistic ◽  
Tenth Grade ◽  
Procedure Text ◽  
English Textbooks ◽  
Imperative Mood

This study aims at analyzing mood structure type of the clause on recount and procedure text in English textbooks of SMA where it was analyzed based on the mood structure types of the clause. It was designed as a descriptive qualitative study and discourse analysis. Data were collected through documentation method. The technique in collecting the data is by determining the source to be investigated, determining the supporting resources, and seeking the recount and procedure text on the English textbook. The Data were analyzed using Mood structure analysis suggested by M.A.K Haliday. In analyzing the data, the activities did by deep reading, identifying, classifying, analyzing, and calculating the percentages. Based on the results of the data analysis, the findings of this research can be stated as follows: (1) There are some types of mood structure in the English textbooks of SMA at the tenth grade students which published by Pusat Perbukuan Departemen Pendidikan Nasional especially on recount text, they are indicative: declarative mood (99,41%), indicative: interrogative mood (0,59%), and imperative mood (0%). (2) The results of mood structure type on procedure text are indicative: declarative mood (25,62%), indicative: interrogative mood (0%), and imperative mood (74,38%). (3) The results in the textbook which published by Yudhistira especially on recount text are indicative: declarative mood (98,94%), indicative: interrogative mood (1,06%), and imperative mood (0%), and also on procedure text are indicative: declarative mood (25%), indicative: interrogative mood (0%), and imperative mood (75%).

scholarly journals Preprocessing Profiling Model for Visual Analytics

2020 ◽  
Author(s):  
Alessandra Maciel Paz Milani ◽  
Fernando V. Paulovich ◽  
Isabel Harb Manssour
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Visual Analytics ◽  
Data Preprocessing ◽  
Interview Study ◽  
Raw Data ◽  
Important Stage ◽  
Analysis Process

Analyzing and managing raw data are still a challenging part of the data analysis process, mainly regarding data preprocessing. Although we can find studies proposing design implications or recommendations for visualization solutions in the data analysis scope, they do not focus on challenges during the preprocessing phase. Likewise, the current Visual Analytics processes do not consider preprocessing an equally important stage in their process. Thus, with this study, we aim to contribute to the discussion of how we can use and combine methods of visualization and data mining to assist data analysts during the preprocessing activities. To achieve that, we introduce the Preprocessing Profiling Model for Visual Analytics, which contemplates a set of features to inspire the implementation of new solutions. In turn, these features were designed considering a list of insights we obtained during an interview study with thirteen data analysts. Our contributions can be summarized as offering resources to promote a shift to a visual preprocessing.

scholarly journals APPLICATION OF HOMEROOM GUIDANCE METHODS IN IMPROVING STUDENT'S LEARNING ACHIEVEMENT

2020 ◽  
Vol 1 (2) ◽  
pp. 33-43
Author(s):  
Rusman C Rumegang
Keyword(s):  
Student Achievement ◽  
Data Analysis ◽  
Junior High School ◽  
Analysis Data ◽  
Research Subjects ◽  
Learning Achievement ◽  
Achievement Data ◽  
Improve Student Achievement ◽  
Class Viii ◽  
Improving Student Achievement

The research objective was to monitored the implementation of home guidance in improving student achievement in class VIII at State Junior High School 3 Tondano. This research was a counseling action research with four stages: planning, implementing, observing, and reflecting. The research subjects were seven people who had low learning achievement. Data were collected by using two methods of observation and interviews. Data analysis used qualitative data analysis, data reduction, data display, and data collection. The results showed that the homeroom method could improve student achievement with two cycles of application time.

scholarly journals IMPLEMENTATION OF THE POLICY OF REGIONAL EXPANSION IN NORTH MAMUJU REGENCY OF WEST SULAWESI

2016 ◽  
Vol 1 (1) ◽  
pp. 72-84
Author(s):  
Syamsuddin Maldun
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Regional Development ◽  
Capital Investment ◽  
Local Governance ◽  
Analysis Data ◽  
Exploratory Research ◽  
Extraction Region ◽  
Implementation Stages ◽  
General Section

this study aims to: (1) Analyze and explain the stages of the implementation of the policy of regional expansion, and (2) analyze and explain the factors that support the implementation of the policy of regional expansion, in order to support national integration in North Mamuju Regency of West Sulawesi Province. This research is a kind of exploratory research using qualitative analysis approach. Data collection carried through; observation, interviews, and documents. Informant research include; Assistant I, II, III, Assistant to the Preparatory Committee the establishment of district (PPPK), head of the Central Bureau of statistics, the head of the Agency for the unity of the nation, the head of the Office library, Archives, and documents, the head of the Department of organization and Personnel, the head of the General section of the Secretariat of the Parliament, members of Religious Communication Forum (FKUB), the leadership of Dharma Wanita, professors, students, and community leaders. While the data analysis done in a descriptive qualitative. Technique of data analysis is interactive analysis: Data collection, (2) Data reduction, (3) Data Display, and (4) the Conclusion/verification. This is intended to give description in a systematic, factual and actual against objects that are examined. Research results show that; (1) the policy implementation stages of the extraction region North Mamuju Regency has been implemented in accordance with the legislation governing the extraction of such areas; the establishment of local governance devices, preparation of the vision and mission, the preparation of regional development strategies, and preparation of the regional development programs, and the factors that support the implementation of regional expansion policy is the existence of natural resources, capital investment (investment), infrastructure, transport and communications, openness toward outsiders, and support public (community)

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