Sheet-Glass Quality Improvement Based on Statistical Analysis of Glass-Production Monitoring

2015 ◽  
Vol 71 (9-10) ◽  
pp. 350-352
Author(s):  
R. I. Makarov
Keyword(s):  
Quality Improvement ◽  
Statistical Analysis ◽  
Sheet Glass ◽  
Glass Production ◽  
Glass Quality ◽  
Production Monitoring

Exploration of the Strategies in Civil Engineering to the Safety Evaluation and Reinforcement Technique of Wood Structure of Ancient Architecture in Huizhou

2012 ◽  
Vol 568 ◽  
pp. 71-75
Author(s):  
Qiang Sun ◽  
Wen He
Keyword(s):  
Quality Improvement ◽  
Statistical Analysis ◽  
Civil Engineering ◽  
Safety Evaluation ◽  
Field Investigation ◽  
Wood Structure ◽  
Traditional Architecture ◽  
Existing Problems ◽  
Technical Status ◽  
Ancient Wood

According to the field investigation of Huizhou ancient wood structure and statistical analysis of related documents, this paper expounded the main technical status and existing problems of Huizhou ancient wood structure safety evaluation and reinforcement and reconstruction, and put forward the research content of Huizhou ancient wood structure safety evaluation and reinforcement and reconstruction countermeasures, discussed the safety evaluation and reinforcement renovation the feasibility of the method for Huizhou traditional architecture reconstruction and quality improvement to provide technical reference.

scholarly journals EPS5.08 Quality improvement in CF: what can we learn from each other? A statistical analysis of UK Registry data and consultations with clinicians and patients

2018 ◽  
Vol 17 ◽  
pp. S47-S48 ◽  
Author(s):  
S.J. Macneill ◽  
L. Pierrotti ◽  
M.A. Mohammed ◽  
M. Wildman ◽  
J. Boote ◽  
...  
Keyword(s):  
Quality Improvement ◽  
Statistical Analysis ◽  
Registry Data

Analysis of sheet-glass production in large-tonnage glassmaking furnaces

2013 ◽  
Vol 69 (9-10) ◽  
pp. 295-298 ◽  
Author(s):  
B. I. Beletskii ◽  
A. N. Trofimov ◽  
N. V. Sventskaya ◽  
N. V. Zhuravleva ◽  
O. S. Pilepenko
Keyword(s):  
Sheet Glass ◽  
Glass Production

Possibilities of using economicomathematical methods and computers in the planning of sheet glass production

1969 ◽  
Vol 26 (10) ◽  
pp. 614-617
Author(s):  
N. V. Paenson ◽  
G. F. Kalinina
Keyword(s):  
Sheet Glass ◽  
Glass Production

scholarly journals Total Jamur dan Identifikasi Yeast pada Limbah Kubis Fermentasi dengan Penambahan Vitamin dan Mineral

2020 ◽  
Vol 7 (3) ◽  
pp. 196
Author(s):  
Cahya Setya Utama ◽  
Bambang Sulistiyanto ◽  
Kezia Naomi Christy Ginting
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Quality Improvement ◽  
Statistical Analysis ◽  
Data Type ◽  
Gram Positive ◽  
Randomized Design ◽  
Completely Randomized Design

ABSTRAKPenelitian bertujuan mengkaji peningkatan kualitas limbah kubis fermentasi dengan penambahan vitamin dan mineral dilihat dari kandungan total jamur dan identifikasi yeast. Metode penelitian menggunakan rancangan acak lengkap (RAL) pola searah dengan 5 perlakuan dan 3 ulangan. Pengolahan data pada parameter total jamur diolah menggunakan anova, jika ada pengaruh yang nyata dilanjutkan uji duncan, sedangkan pada parameter identifikasi yeast menggunakan metode deskriptif. Penelitian menunjukkan bahwa penambahan vitamin dan mineral berpengaruh nyata (P<0,05) terhadap total jamur yang dihasilkan. Total jamur terbanyak pada perlakuan penambahan vitamin dan mineral 10% dengan rata-rata total jamur 71,33 x 104 CFU/g. Pengecatan gram pada identifikasi jenis yeast didapatkan bentuk oval, soliter dan gram positif (yeast) menunjukkan identifikasi jenis yeast yang tumbuh yaitu Saccharomyces cerevisiae. Simpulan penelitian adalah penambahan vitamin dan mineral sebanyak 10% mampu meningkatkan kualitas limbah kubis fermentasi dilihat dari kandungan total jamur dan jenis yeast.Kata kunci: fermentasi, jamur, limbah kubis, pengecatan gram, yeastABSTRACTThe study aimed to evaluate the quality improvement of fermented cabbage waste which was added by vitamins and minerals by observing the total fungus and type of yeast. The method used was a completely randomized design (CRD) unidirectional pattern, with 5 treatments and 3 replications. Statistical analysis of total fungus was processed by ANOVA and continued by the Duncan Multiple Renge test, and the data type of yeast was discussed descriptively. The result showed, the addition of vitamin and mineral treatment significantly influenced the number of fungi (P<0,05). The highest number of fungus was shown beside 10% supplementation of vitamins and minerals (7.33 x 104 CFU/g). Gram coloring on the identification of yeast types obtained oval, solitary, and gram-positive (yeast) it shows that the identification of the growing yeast type, Saccharomyces cerevisiae. The conclusion of the addition of 10% vitamins and minerals can improve the quality of 2 days cabbage waste fermentation seen from the total fungus and the type of yeast that grows.Key Words: cabbage waste, fermentation, gram paintings, yeast

Multilayer Glass Quality Improvement during Production

2022 ◽  
Author(s):  
R. I. Makarov ◽  
E. R. Khorosheva
Keyword(s):  
Quality Improvement ◽  
Glass Quality

Analysis of Internal Cullet Line Operation in Sheet Glass Production

2017 ◽  
Vol 74 (5-6) ◽  
pp. 158-164
Author(s):  
V. V. Efremenkov
Keyword(s):  
Sheet Glass ◽  
Glass Production ◽  
Internal Cullet

Use of local sands in sheet glass production

1998 ◽  
Vol 55 (11-12) ◽  
pp. 331-333
Author(s):  
V. I. Kondrashov ◽  
Yu. V. Zverev ◽  
G. A. Polkan ◽  
R. I. Krasnikova ◽  
L. N. Bondareva ◽  
...  
Keyword(s):  
Sheet Glass ◽  
Glass Production
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