Statistical Analysis of Atmospheric Flight Gust Loads Analysis Data

1999 ◽  
Author(s):  
J. B. Clark ◽  
M. C. Kim ◽  
A. M. Kabe
Keyword(s):  
Statistical Analysis ◽  
Analysis Data ◽  
Loads Analysis ◽  
Gust Loads

Statistical Analysis of Atmospheric Flight Gust Loads Analysis Data

2000 ◽  
Vol 37 (4) ◽  
pp. 443-445 ◽  
Author(s):  
J. B. Clark ◽  
M. C. Kim ◽  
A. M. Kabe
Keyword(s):  
Statistical Analysis ◽  
Analysis Data ◽  
Loads Analysis ◽  
Gust Loads

Multivariate Statistical Analysis Regarding the Formulation of Oxicam-Based Pharmaceutical Hydrogels

2017 ◽  
Vol 68 (4) ◽  
pp. 726-731
Author(s):  
Lenuta Maria Suta ◽  
Anca Tudor ◽  
Colette Roxana Sandulovici ◽  
Lavinia Stelea ◽  
Daniel Hadaruga ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Pharmaceutical Formulations ◽  
Analysis Data ◽  
Multivariate Statistical ◽  
Predictive Variables ◽  
Rapid Release ◽  
Computational Data ◽  
Experimental Protocols ◽  
Formulation Factors

In this paper, it was analysed the influence of formulation factors over obtaining oxicam hydrogels, using the statistical analysis. Data analysis and predictive modeling by multivariate regression offers a large number of possible explanatory/predictive variables. Therefore, variable selection and dimension reduction is a major task for multivariate statistical analysis, especially for multivariate regressions. The statistical analysis and computational data processing of responses obtained from different pharmaceutical formulations, via different experimental protocols, lead to the optimization of the formulation process. It was found that the most suitable pharmaceutical formulations based on oxicams with the possibility of rapid release contained cyclodextrin, in particular 2-hydroxypropyl-b-cyclodextrin.

Derivation of Forcing Functions for Monte Carlo Atmospheric Gust Loads Analysis

1999 ◽  
Author(s):  
B. H. Sako ◽  
M. C. Kim ◽  
A. M. Kabe ◽  
W. K. Yeung
Keyword(s):  
Monte Carlo ◽  
Forcing Functions ◽  
Loads Analysis ◽  
Gust Loads

scholarly journals Pengaruh Modal Usaha, Kualitas Produk, Jaringan Wirausaha Terhadap Kelangsungan Usaha UMKM Madu Sari Lanceng

2021 ◽  
Vol 1 (2) ◽  
pp. 175-184
Author(s):  
Junedi ◽  
Mustika Dwi Arumsari
Keyword(s):  
Statistical Analysis ◽  
Data Collection ◽  
Product Quality ◽  
Small And Medium Enterprises ◽  
Analysis Data ◽  
Quantitative Approach ◽  
Business Continuity ◽  
Entrepreneurial Networks ◽  
Medium Enterprises ◽  
Positive Effect

Usaha Mikro Kecil dan Menengah (UMKM) memiliki kontribusi atas Pendapatan Domestik Bruto (PDB) rata-rata sebesar 60% sehingga kelangsungan usahanya perlu dipertahankan dengan mengenali faktor-faktornya. Penelitian ini bertujuan untuk menganalisis pengaruh modal usaha, kualitas produk, dan jaringan wirausaha terhadap kelangsungan usaha UMKM Madu Sari Lanceng. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kuantitatif, dan menggunakan analisis statistik. Pengumpulan data berupa kuesioner kepada 22 pelaku UMKM Madu Sari Lanceng di Nglipar, Gunungkidul. Hasil analisis memberikan gambaran:  a) Modal Usaha dan Jaringan Wirausaha tidak berpengaruh terhadap Kelangsungan Usaha; b). Kualitas Produk berpengaruh positif terhadap kelangsungan usaha. Micro Small and Medium Enterprises (MSMEs) have a contribution to the average Gross Domestic Income (GDP) of 60% so that their business continuity needs to be maintained by recognizing the factors. This research aims to analyze the influence of business capital, product quality, and entrepreneurial networks on the business continuity of Madu Sari Lanceng MSMEs. The approach used in this research is a quantitative approach, and uses statistical analysis. Data collection in the form of questionnaires to 22 MSME madu sari lanceng actors in Nglipar, Gunungkidul. The results of the analysis provide an overview: a) Business Capital and Entrepreneurial Network have no effect on Business Continuity; b). Product Quality has a positive effect on business continuity

scholarly journals The Impact of Awareness of New Artificial Intelligence Technologies on Policy Governance on Risk

2020 ◽  
Vol 11 (2) ◽  
pp. 152
Author(s):  
Do-Hyung Yee ◽  
Yen-Yoo You
Keyword(s):  
Artificial Intelligence ◽  
Statistical Analysis ◽  
Analysis Data ◽  
Risk Awareness ◽  
National Security Agency ◽  
Policy Governance ◽  
Risk Manager ◽  
The Impact ◽  
Positive Effect ◽  
Descriptive Statistical Analysis

Background/Objectives: This study examined the risks of new AI technologies and their impact on policy governance. Artificial intelligence is bringing about changes in various fields such as politics, economy and culture through information society and technology. In particular, it has a positive effect on solving various problems of existing society and overcoming limitations. But this advancement in artificial intelligence can create the opposite problem as expected. This appears to be a risk. We identify the factors that recognize this risk and investigate the possible impact on government governance.Methods/Statistical analysis: The questionnaire and data of this journal were analyzed by Korean public portal data, and the analysis data were designated by the Korea Information Technology Agency, AI related company, AI association, Ministry of Science, ICT and Future Planning, IT society, government research institute, Korea Communications Commission, and National Security Agency The questionnaire survey was based on AI experts working in the field.The analysis program uses IBM SPSS Statistics 22. The analysis methods are descriptive statistical analysis, reliability analysis and exploratory factor analysis.Findings: This study examined the risks of new AI technologies and their impact on policy governance. The survey was conducted to clarify comments on awareness of new AI-related technologies, awareness of AI risks, and improvements to AI-related policies.AI risk has become an integral part of regulation and the government's role as a risk manager is important.Improvements/Applications: Further discussion is needed regarding the commercialization effects of AI technology awareness, benefit items and timing items on policy governance through risk awareness.

scholarly journals SpA: web-accessible spectratype analysis: data management, statistical analysis and visualization

2005 ◽  
Vol 21 (18) ◽  
pp. 3697-3699 ◽  
Author(s):  
M. He ◽  
J. K. Tomfohr ◽  
B. H. Devlin ◽  
M. Sarzotti ◽  
M. L. Markert ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Data Management ◽  
Analysis Data

Evaluation of a Describing Function Approach to Nonlinear Gust Loads Analysis

1980 ◽  
Vol 17 (2) ◽  
pp. 87-94 ◽  
Author(s):  
Robert L. Stapleford ◽  
Richard J. DiMarco
Keyword(s):  
Function Approach ◽  
Describing Function ◽  
Loads Analysis ◽  
Gust Loads
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