Multi Source Data Analysis To Improve Drilling Efficiency, Reduce Costs and Enhance Performance Monitoring

This research was conducted to find out and prove empirically promotion strategies of cultural tourism and in increasing the number of tourists visit Kerinci Regency. Source data obtained from the Department of tourism and culture District Kerinci. Data analysis tools by using SWOT analysis. The research results obtained that (1) the cultural and Tourism Office of District 1 quadrant is at Kerinci (positive, positive) which means the primacy of kompotitif or aggressive strategies of Cultural tourism and the Regency of Kerinci has the power as well as opportunities to continue to improve and enlarge the number of promotional visits to the Regency of Kerinci; and (2) the right marketing strategies applied to Kerinci District Tourism Office for the moment is a strategy SO (strength, Opportunities). This strategy is underway to harness the power for the menagkap opportunities that are owned. As for the strategies that can be applied include (a) the Kerinci Regency Tourism Office must keep working to develop tourism in Kerinci Regency; (b) Tourism District's tourism should control Keerinci well; (c) the coordination of Tourism with Government Kabuapeten Kerinci must continue to be improved; (d) the Services provided should be constantly improved; and (e) to add visits to the County of Kerinci, tourism and Culture must make use of technology and facilities available, doing promotions, and socialization as many to the community to reach. Keywords: Promotion Strategy

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Revolusi Pembelajaran dalam Matematika sebagai Konsekuensi dari Implementasi Physical Distancing

Jurnal VARIDIKA ◽

10.23917/varidika.v32i1.11386 ◽

2020 ◽

Vol 32 (1) ◽

pp. 70-79

Author(s):

Faizatur Rofi'ah

Keyword(s):

Data Analysis ◽

Online Discussions ◽

Math Learning ◽

Long Distance ◽

Internet Service ◽

Face To Face ◽

Analysis Techniques ◽

Source Data ◽

Data Validity ◽

Online Quizzes

The proliferation of the corona virus affects all aspects of life, including education. This led to a revolution in the learning from conventional to digital. The purpose of this study is to 1) describe the general review of learning in mathematics and; 2) analyzing the alternatives to the learning revolution in mathematics with the physical policy of physical distancing. This research uses type of reference research. The validity test uses source data triangulation. Data validity obtained with various sources and extensions. Data analysis techniques use constant methods of comparison. The result of this article, which is 1) in general, math learning has been more conventional (face to face) and; 2) there is an alternative to math related to physical distancing, which is online/long-distance learning by making good use of accessible applications through Internet service. Online math learning by giving both a learning video, the settings are as interesting as possible, online discussions, and assessments through online quizzes.

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Data Analysis of Magnetic Flux Leakage Detection Based on Multi-Source Information Fusion

Studies in Applied Electromagnetics and Mechanics - Electromagnetic Non-Destructive Evaluation (XXIII) ◽

10.3233/saem200033 ◽

2020 ◽

Author(s):

Weilin Shao ◽

Ming Sun ◽

Yilai Ma ◽

Jinzhong Chen ◽

Xiaowei Kang ◽

...

Keyword(s):

Data Analysis ◽

Magnetic Flux ◽

Information Fusion ◽

Information Source ◽

Magnetic Flux Leakage ◽

Leakage Detection ◽

Source Information ◽

Source Data ◽

Fusion Analysis ◽

Flux Leakage

For the analysis of the magnetic flux leakage detection data in pipelines, a single information source data analysis method is used to determine the pipeline characteristics with uncertainty. A multi-source information fusion data analysis technology is proposed. This paper makes full use of the information collected by the multi-source sensors of the magnetic leakage internal detector, and adopts distributed and centralized multi-source information fusion analysis technology. First, pre-analyze and judge the information data of the auxiliary sensors (speed, pressure, temperature) of the internal magnetic flux leakage detector. Then, the data of the main sensor, ID / OD sensor, axial mileage sensor, and circumferential clock sensor of the magnetic flux leakage detector are analyzed separately. Finally, the RBF neural network + least squares support vector machine (LSSVM)fusion analysis technology is adopted to realize the fusion analysis of multi-source information. The results show that this method can effectively improve the quality and reliability of data analysis compared with traditional single information source data analysis.

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