The Evaluation of Mechanical Resistance of Storage Tanks Exposed to Fire by Using Data Bank Information

1989 ◽  
pp. 772-780
Author(s):  
Viviana Colombari ◽  
Maurizio Gilioli ◽  
Alfredo Verna
Keyword(s):  
Data Bank ◽  
Mechanical Resistance ◽  
Storage Tanks ◽  
Using Data

Using data clustering in evaluation the diversity of poverty danger in Polish subregions

2016 ◽  
Vol 61 (5) ◽  
pp. 17-36
Author(s):  
Beata Kraszewska
Keyword(s):  
World Bank ◽  
Social Care ◽  
Data Bank ◽  
Poverty Rate ◽  
Local Data ◽  
Diagnostic Features ◽  
Small Areas ◽  
The World Bank ◽  
Spatial Diversification ◽  
Using Data

The article discusses the use of cluster analysis methods to assess the differentiation of risk of poverty in the Polish subregion. On the basis of data on the labor market, wages and social care, developed on the basis of the resources of the Local Data Bank of the CSO and their variable-correlation verification, the author has defined a set of diagnostic features used to determine the cluster of sub-regions similar in terms of risk of poverty. Results were compared with the results of study work in the field of spatial diversification of estimating at-risk-of-poverty rate (ARPR) in 2011 conducted by the Small Areas Statistics Centre of the Statistical Office in Poznań in cooperation with experts from the World Bank.

A first approximation of the volume of ground ice, Richards Island, Pleistocene Mackenzie delta, Northwest Territories, Canada

1980 ◽  
Vol 17 (4) ◽  
pp. 509-516 ◽  
Author(s):  
W. H. Pollard ◽  
H. M. French
Keyword(s):  
Data Bank ◽  
Topographic Maps ◽  
Mackenzie Delta ◽  
Ground Ice ◽  
Geotechnical Data ◽  
Ice Volume ◽  
First Approximation ◽  
Arctic Alaska ◽  
Morphometric Analyses ◽  
Using Data

Using data contained in the Mackenzie Valley Geotechnical Data Bank together with data derived from morphometric analyses of topographic maps and air photographs, the volume of ground ice present in the upper 10 m of Richards Island is calculated to be 10.27 km3. Pore and segregated ice constitute over 80% of the total ice volume. Wedge ice constitutes between 12 and 16% of total ice volume in the upper 4.5 m, and approximately 36% of all excess ice. In the upper 1–2 m, wedge ice may exceed 50% of earth materials. Pingo ice is insignificant in terms of its contribution to total ice volumes. Excess ice constitutes 14% of the upper 10 m of permafrost; it follows that thawing of this layer of permafrost may lead to an average subsidence of 1.4 m.The results of this study are probably typical of other areas of the Pleistocene Mackenzie delta. There is also general agreement with data obtained from arctic Alaska.

scholarly journals KINERJA KEUANGAN DAERAH DAN INDEKS PEMBANGUNAN MANUSIA: MEDIASI PERTUMBUHAN EKONOMI

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Muhsin N Bailusy
Keyword(s):  
Economic Growth ◽  
Financial Performance ◽  
Human Development ◽  
Human Development Index ◽  
Data Bank ◽  
Regional Government ◽  
Analysis Method ◽  
Development Index ◽  
Analysis Techniques ◽  
Using Data

Penelitian ini bertujuan untuk menganalisis secara emperik pengaruh kinerja keuangan pemerintah daerah terhadap indeks pembangunan manusia, pertumbuhan ekonomi dan menganalisis secara empirik apakah pertumbuhan ekonomi mampu memediasi kinerja keuangan terhadap indeks pembangunan manusia. Penelitian ini dilakukan pada sepuluh Kabupaten/Kota di Provinsi Maluku Utara, dengan menggunakan data yang bersumber dari BPS provinsi Maluku Utara maupun BPS kabupaten/kota, data Laporan Bank Indonesia dan Laporan Kementerian/Lembaga dari tahun 2014-2018. Teknik analisa data dalam penelitian ini menggunakan analisis regresi dengan metode Analisis Jalur (Path Analisis). Hasil penelitian menunjukkan bahwa dari lima hipotesis yang diajukan, tiga hipotesis terdukung dan dua hipotesis tidak terdukung.Kata kunci: Kinerja Keuangan Daerah, Indeks Pembangunan Manusia, Pertumbuhan Ekonomi This study aims to analyze emperically the influence of Regional Government Financial Performance on the Human Development Index, Economic Growth and analyze empirically whether Economic Growth is able to mediate Financial Performance on the Human Development Index. This research was conducted in ten districts/ cities in North Maluku Province, using data sourced from BPS North Maluku province and BPS districts/ cities,data Bank Indonesia Report and Ministry/ Institution Report from 2014-2018. Data analysis techniques in this study useregression analysis with the Path Analysis method. The results showed that of the five hypotheses proposed, three were supported and two were not supported.Keywords: Regional Financial Performance, Human Development Index, Economic Growth

Klasifikasi Analisis Perbandingan Algoritma Optimasi pada Random Forest untuk Klasifikasi Data Bank Marketing

2021 ◽  
Vol 5 (1) ◽  
pp. 187-192
Author(s):  
Yoga Religia ◽  
Agung Nugroho ◽  
Wahyu Hadikristanto
Keyword(s):  
Data Mining ◽  
Genetic Algorithm ◽  
Random Forest ◽  
Data Bank ◽  
Site Classification ◽  
Algorithm Optimization ◽  
Marketing Data ◽  
Using Data ◽  
Bank Marketing

The world of banking requires a marketer to be able to reduce the risk of borrowing by keeping his customers from occurring non-performing loans. One way to reduce this risk is by using data mining techniques. Data mining provides a powerful technique for finding meaningful and useful information from large amounts of data by way of classification. The classification algorithm that can be used to handle imbalance problems can use the Random Forest (RF) algorithm. However, several references state that an optimization algorithm is needed to improve the classification results of the RF algorithm. Optimization of the RF algorithm can be done using Bagging and Genetic Algorithm (GA). This study aims to classify Bank Marketing data in the form of loan application receipts, which data is taken from the www.data.world site. Classification is carried out using the RF algorithm to obtain a predictive model for loan application acceptance with optimal accuracy. This study will also compare the use of optimization in the RF algorithm with Bagging and Genetic Algorithms. Based on the tests that have been done, the results show that the most optimal performance of the classification of Bank Marketing data is by using the RF algorithm with an accuracy of 88.30%, AUC (+) of 0.500 and AUC (-) of 0.000. The optimization of Bagging and Genetic Algorithm has not been able to improve the performance of the RF algorithm for classification of Bank Marketing data.  

Damage to Oil Storage Tanks from the 2011 Mw 9.0 Tohoku-Oki Tsunami

2015 ◽  
Vol 31 (2) ◽  
pp. 1103-1124 ◽  
Author(s):  
Ken Hatayama
Keyword(s):  
Cumulative Distribution Function ◽  
Cumulative Distribution ◽  
Storage Tanks ◽  
Inundation Depth ◽  
Damage Rate ◽  
Oil Storage ◽  
Damage Data ◽  
Standard Normal ◽  
Using Data ◽  
Actual Damage

The Mw 9.0 2011 Tohoku-oki tsunami damaged 418 oil storage tanks and moved 157 of them. Using data on the severity of damage and the maximum inundation depth of the tsunami, a fragility curve representing the damage to oil storage tank plumbing is presented in this paper: P( η)= Φ ((ln η − 1.02)/0.574), where P is the damage rate, η is the maximum inundation depth in meters, and Φ is the standard normal cumulative distribution function. The existing method of predicting the movement of tanks exposed to a tsunami is validated by comparing the predicted damage with actual damage data from the 2011 tsunami. The accuracy (hit rate) is 76%.

scholarly journals Nutritional Attitudes among Seamen

2020 ◽  
Vol 1 (1) ◽  
Author(s):  
Jonas Sąlyga
Keyword(s):  
Survey Methodology ◽  
Eating Habits ◽  
Food Habit ◽  
Data Bank ◽  
Fruit And Vegetables ◽  
Health Examination ◽  
Equal Rights ◽  
Microsoft Access ◽  
Research Findings ◽  
Using Data

This study on shipboard life and work summarizes the extremely limited research findings on food and diet. We analyzed descriptive statistics results using the 2003 and 2007 Lithuanian seamen’s lifestyle survey to determine the food habits and nutritional attitudes at sea. Survey object was the changes in Lithuanian seamen’s eating habits during a four year period (2003–2007. Survey objectives were to determine changes in seamen eating habits (1), to examine seamen eating habits (2). Survey methodology: Every seaman who needed compulsory health examination was given a questionnaire. The methodology was parallel to the 1st survey’s methodology (2003) and was more thoroughly explained in previous articles. All the seamen that had worked for at least one voyage, despite age, had equal rights to participate in the study. 932 Lithuanian male seamen (20 to 69 of age) who had their health examined in Klaipeda “Seamen’s” hospital participated in the study. Their average age was 40.0 (SD 11.7). The questionnaire was computerized, the data was assessed using data bank crated with Microsoft access that contained data from the first survey (2003). The three food habit scores were used measuring the frequency of consuming sugar, fat, and fibre amongst the maritime group. The perceptions the seamen had about their own diet were examined by asking about consumption of fruit and vegetables as a marker of the quality of their diet: 5.3% perceived their diet as excellent, 23.8% as very good, 42.4% as good, 25.7% as fair and only 7.7% as poor. Results: The data indicated a significantly higher consumption of sugar and fat at sea compared with ashore. Overall, when contrasting seafaring groups, significant differences existed in nutrition attitudes. Management and auxiliary sectors members rated nutrition as less relevant to their health than mechanical ship service and deck crew members. The total maritime group  demonstrated a tendency of individuals to try new foods. There were no significant differences in this nutritional dimension between maritime groups. Each of the occupational groups held similar beliefs about the importance of nutrition. Conclusions: the survey showed that seamen’s eating became healthier in 2007 compared to 2003 survey results, however consumption of fruit and vegetables remained below the level recommended by WHO. Seamen used less vegetables and fruit while at sea than when at home. On average, seamen used more sugar and fat while at sea. All the seamen groups acknowledged the importance of eating for health and were open to new food suggestions.Keywords: seamen’s, nutrition, diet, ashore, at sea.

Reduction of Combined Sewer Overflow Pollution Loads by Detention of Sanitary Sewage

1990 ◽  
Vol 22 (10-11) ◽  
pp. 205-212
Author(s):  
W. Schilling ◽  
D. T. Kollatsch
Keyword(s):  
High Strength ◽  
Chemical Transformations ◽  
Storage Tanks ◽  
Combined System ◽  
System A ◽  
Sewer Systems ◽  
Combined Sewer ◽  
Separate System ◽  
Using Data ◽  
Operational Aspects

For mixed combined/separate sewer systems it is proposed, in times of combined sewage overflows (CSO), to store sanitary sewage at the inlet point to the combined system. Thereby, sanitary sewage (with high strength) is kept in the system for further treatment after the storm whereas less-polluted CSO are diverted to the receiving water. By using data of an existing catchment different scenarios are evaluated and the potential benefit of sanitary sewage detention is quantified. This approach is compared to current German CSO regulations. It is more effective than conventional CSO detention if more than 60 % of the population upstream of the CSO diversion are served by a separate system. A key problem of this concept is the control strategy that determines when to activate and empty the storage tanks. A number of criteria are compared. Considerations are also made on operational aspects such as chemical transformations in stored sewage, maximum allowable detention time, and cleansing of storage tanks.

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