Data Management Techniques for Blade Vibration Analysis

2015 ◽  
Author(s):  
R. Przysowa ◽  
A. Tuzik
Keyword(s):  
Data Management ◽  
Vibration Analysis ◽  
Blade Vibration ◽  
Management Techniques

scholarly journals Data Management Techniques for Blade Vibration Analysis

2016 ◽  
Vol 37 (1) ◽  
pp. 95-132 ◽  
Author(s):  
Radosław Przysowa ◽  
Aleksander Tuzik
Keyword(s):  
Data Structures ◽  
Vibration Analysis ◽  
Flexible Tool ◽  
Blade Vibration ◽  
Report Generation ◽  
Measurement Systems ◽  
File Formats ◽  
Timing Data ◽  
Complex Measurement ◽  
Management Techniques

Abstract Well-designed procedures are required to handle large amounts of data, generated by complex measurement systems used in engine tests. The paper presents selected methodologies and software tools for characterisation and monitoring of blade vibration. Common file formats and data structures as well as methods to process and visualise tip-timing data are discussed. Report Generation Framework (RGF) developed in Python is demonstrated as a flexible tool for processing and publishing blade vibration results.

TINJAUAN HUKUM ISLAM TERHADAP PENERAPAN SISTEM WAKAF MENURUT FATWA NO. 106/DSN-MUI/X/2016

2021 ◽  
Vol 3 (1) ◽  
pp. 43
Author(s):  
Zulkifli Zulkifli ◽  
Sohrah Sohrah ◽  
Halimah B
Keyword(s):  
Data Management ◽  
Islamic Law ◽  
Field Research ◽  
Data Sources ◽  
Insurance Benefits ◽  
Validity Testing ◽  
Life Assurance ◽  
Data Validity ◽  
Management Techniques ◽  
Maximum Limit

AbstrakPokok masalah dalam Penelitian ini mengkaji tentang bagaimana tinjauan hukum Islam terhadap penerapan system wakaf polis menurut fatwa No. 106 DSN-MUI/X/2016 di PT. Prudential Life Assurance Agency Prucahaya Makassar. Jenis penelitian ini adalah penelitian lapangan (field research) menggunakan metode kualitatif dimana dilakukan dengan pendekatan teologis normatif, sosiologis dan fenomenologi dengan sumber data dari PT. Prudential Life Assurance Agency Pruchaya Makassar, selanjutnya metode pengumpulan data yang dilakukan adalah observasi, wawancara, dokumentasi dan studi pustaka, kemudian teknik pengelolaan data dilakukan melalui beberapa tahapan diantaranya: reduksi data, melakukan pengelolaan data dan pengujian keabsahan data. Hasil penelitian ini menunjukkan bahwa bagaimana penerapan system wakaf polis di PT. Prudential Life Assurance Agency Prucahaya Makassar terdapat beberapa unsur terkait idalamnya yaitu, kesesuaian aturan fatwa terhadap pelaksanaan perusahaan Prudential Syariah yang bekerja sama dengan lembaga wakaf dalam mengelola dana yang diwakafkan. Kesesuaian pernyataan form ikrar wakaf di Prudential Syariah batas maksimal yang sesuai ketentuan fatwa pada wakaf manfaat sebesar 45% dan wakaf manfaat sebesar 1/3 dari keseluruhan kekayaan atau tirkah serta kesesuaian prinsip syariah pada akad wakaf yang digunakan pada kontrak polis menggunakan akad tabarru dan menggunakan akag wakalah bil ujrah sebagian manfaatnya boleh di wakafkan. Dalam hal ini system wakaf polis sebagai salah satu produk dari unik link syariah di PT. Prudential Life Assurance Agency Prucahaya Makassar telah sesuai dengan syariat Islam ditinjau dari fatwa No. 106 DSN-MUI/X/2016 tentang wakaf manfaat asuransi dan manfaat investasi.Kata Kunci: Fatwa, Hukum Islam, Sistem Wakaf.  AbstractThe main problem in this research is reviewing how the review of Islamic law against the managementof the policy waqf system according to fatwaNo. 106 DSN-MUI/X/2016 in PT. Prudential Life Assurance Agency Prucahaya Makassar. This type of research is field research usingqualitativemethods which are carried out with normative theological, sociological and phenomenological approaches with data sources from PT. Prudential Life Assurance Agency Pruchaya Makassar,, then the method of data collection carried out is observation, interview, documentation and literature studies, then data management techniques are carried out through several stages including: data reduction, data management and data validity testing The results of this study show that how the implementation of the policy waqf system in PT. Prudential Life Assurance Agency Prucahaya Makassar there are several elements related to its idalam, namely, the suitability of fatwa rules against the implementation of Sharia Prudential companies that cooperate with waqf institutions in managing funds that are pledged. Conformity of waqf pledge form statement in Prudential Syariah maximum limit in accordance with the provisions of the fatwa on the waqf benefit of 45% and the waqf benefit of 1/3 of the overall wealth or tirkah and the suitability of sharia principles in the waqf contract used in the policy contract using tabarru agreement and using akag wakalah bil ujrah some of the benefits can be wakafkan. In this case the system wakaf polis as one of the products of unique sharia links in PT. Prudential Life Assurance Agency Prucahaya Makassar has been in accordance with Islamic law reviewed from fatwa No. 106 DSN-MUI/X/2016 on the endowment of insurance benefits and investment benefits.''Keywords: Fatwa, Islamic Law, Waqf System.

Is Homeopathy More Effective Now Than a Hundred Years Ago?

2021 ◽  
Vol 34 (02) ◽  
pp. 123-129
Author(s):  
Lex Rutten ◽  
Raj Kumar Manchanda ◽  
José Eizayaga
Keyword(s):  
Statistical Analysis ◽  
Data Management ◽  
Effective Treatment ◽  
Past Century ◽  
Scientific Level ◽  
Amount Of Information ◽  
The Past ◽  
Treatment Data ◽  
Management Techniques ◽  
Systematic Collection

AbstractDuring the past century, the amount of information about homeopathic medicines has grown dramatically. However, the recent coronavirus disease 2019 pandemic has shown that homeopathic practitioners do not use more medicines than a century ago and they seem to use less symptoms to find the proper medicine. This could be explained by the fact that the more than a hundred years old repertory was flawed from the beginning and that more information in the repertory leads the practitioner astray in an increasingly complex labyrinth of data.This can be resolved by applying modern data management techniques based on systematic collection of treatment data and statistical analysis of the data. Homeopathic practitioners should collect these data avoiding bias. This requires additional training of practitioners, which should also result in a higher scientific level of homeopathic practice and increasingly effective treatment as the database grows.

Intelligent Information System for Academic Institutions

2019 ◽  
pp. 207-232 ◽  
Author(s):  
Mamata Rath
Keyword(s):  
Data Management ◽  
Big Data Analytics ◽  
Research Data ◽  
Research Data Management ◽  
Innovative Work ◽  
Management Techniques ◽  
Scientific Results ◽  
Intelligent Information ◽  
Biomedical Publications ◽  
Work Done

Research and publication is considered an authenticated certificate of innovative work done by researchers in various fields. In research, new scientific results may be assessed, corrected, and further built up by the scientific neighborhood only if they are available in published form. Guidelines on accountable research and publication are currently set to encourage and promote high ethical standards in the conduct of research and in biomedical publications. They address various aspects of the research and publishing including duties of editors and authorship determination. The chapter presents research and publication system using big data analytics and research data management techniques with a background of information systems and need of information in research data management.

scholarly journals Experiencing ProvLake to Manage the Data Lineage of AI Workflows

2020 ◽  
Author(s):  
Leonardo Guerreiro Azevedo ◽  
Renan Souza ◽  
Raphael Melo Thiago ◽  
Elton Soares ◽  
Marcio Moreno
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Management ◽  
Oil And Gas ◽  
Core Concept ◽  
Data Lineage ◽  
Oil And Gas Exploration ◽  
Provenance Data ◽  
Management Techniques ◽  
Artificial Intelligence Systems

Machine Learning (ML) is a core concept behind Artificial Intelligence systems, which work driven by data and generate ML models. These models are used for decision making, and it is crucial to trust their outputs by, e.g., understanding the process that derives them. One way to explain the derivation of ML models is by tracking the whole ML lifecycle, generating its data lineage, which may be accomplished by provenance data management techniques. In this work, we present the use of ProvLake tool for ML provenance data management in the ML lifecycle for Well Top Picking, an essential process in Oil and Gas exploration. We show how ProvLake supported the validation of ML models, the understanding of whether the ML models generalize respecting the domain characteristics, and their derivation.

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