A Novel Polarimetric PSI Method Using Trace Moment-Based Statistical Properties and Total Power Interferogram Construction

2021 ◽  
pp. 1-15
Author(s):  
Peng Shen ◽  
Changcheng Wang ◽  
Lijun Lu ◽  
Xingjun Luo ◽  
Jun Hu ◽  
...  
Keyword(s):  
Statistical Properties ◽  
Total Power ◽  
Psi Method

Statistical properties of type I intermittency

1982 ◽  
Vol 43 (4) ◽  
pp. 585-589 ◽  
Author(s):  
M. N. Bussac ◽  
C. Meunier
Keyword(s):  
Statistical Properties ◽  
Type I

Correlation in the heart rate data

1998 ◽  
Vol 2 ◽  
pp. 141-148
Author(s):  
J. Ulbikas ◽  
A. Čenys ◽  
D. Žemaitytė ◽  
G. Varoneckas
Keyword(s):  
Nonlinear Dynamics ◽  
Experimental Data ◽  
Heart Rate ◽  
Time Series ◽  
Cardiovascular Function ◽  
Statistical Properties ◽  
Rate Data ◽  
Heart Rate Data ◽  
Dynamical Nature ◽  
Analysis Of Time Series

Variety of methods of nonlinear dynamics have been used for possibility of an analysis of time series in experimental physiology. Dynamical nature of experimental data was checked using specific methods. Statistical properties of the heart rate have been investigated. Correlation between of cardiovascular function and statistical properties of both, heart rate and stroke volume, have been analyzed. Possibility to use a data from correlations in heart rate for monitoring of cardiovascular function was discussed.

Some Statistical Properties of Exponentiated Weighted Weibull Distribution

2014 ◽  
Vol 2014 (2) ◽  
pp. 1-11
Author(s):  
Nofiu BAMUS ◽  
◽  
Adebayo BAMIDURO ◽  
Keyword(s):  
Weibull Distribution ◽  
Statistical Properties

LOW-COST TOTAL POWER RADIOMETER USING CONVENTIONAL DTH ANTENNA

2020 ◽  
Vol 79 (16) ◽  
pp. 1479-1487
Author(s):  
Samarendra Nath Sur ◽  
A. K. Singh ◽  
P. Chettri ◽  
R. Bera
Keyword(s):  
Low Cost ◽  
Total Power

Case Study: Maximizing Business Performance by Optimizing Supply Chain Of LNG-C Distribution of 9 Gas Power Plants with A Capacity of 780 MW in Eastern Indonesia

2020 ◽  
Author(s):  
A. D. Wara
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Power Plants ◽  
Total Power ◽  
First Year ◽  
Eastern Region ◽  
Transport Costs ◽  
Logistics Optimization ◽  
The Government ◽  
Milk Run

The Government of Indonesia plans to build 9 gas power plants in South Kalimantan, South Sulawesi and Southeast Nusa Tenggara with a total power capacity of 780 MW with an estimated actual gas demand of 46.56 MMSCFD which are planned to be supplied by the Bontang terminal, DS-LNG, Masela LNG, and Tangguh LNG. LNG-C logistics optimization is needed to get the best transportation scenario regarding the eastern region which consists of scattered islands and inadequate infrastructure. This study analyzes and evaluates the best-case scenarios by comparing the time and cost variables. The process of planning the supply chain starts from determining the upstream-downstream distribution scheme and then calculates the shipping distance which results in the determination of the quantity, capacity and shipping of the LNG-C. Based on the analysis and calculation of the logistics, it is concluded that there are 3 divisions of clusters of Kalimantan-Sulawesi, NTT and NTB having estimated needs in a row of 18.06, 18.8, and 9.7 MMSCFD with the Milk-Run transportation method. Logistics optimization results show that scenario 1 has an efficiency value of 87% with an LNG-C transport capacity of 0.35 MMSCF, a roundtrip cruise time of 8.6 days and the number of shipments is 36 / year. The detailed analysis of costs in scenario A is 1-2 USD / MMBTU for the milk and run transportation method, 1.49-1.73 USD / MBTU for LNG-C transport costs, and regasification costs which are 1.0-3.7 USD / MMBTU. Based on the above results it can be calculated that the price of gas in the first year of implementation was 13.4 USD / MMBTU, so the total value below this supply chain was Rp.8,812,876,800.00. Therefore, this idea was created as a solution for the initial steps for the utilization of the domestic natural gas distribution

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