scholarly journals Statistical Analysis of an Inter-Laboratory Comparison of Small-Scale Safety and Thermal Testing of RDX

2014 ◽  
Vol 40 (2) ◽  
pp. 221-232 ◽  
Author(s):  
Geoffrey W. Brown ◽  
Mary M. Sandstrom ◽  
Daniel N. Preston ◽  
Colin J. Pollard ◽  
Kirstin F. Warner ◽  
...  
2019 ◽  
Vol 1 (2) ◽  
pp. 81-88
Author(s):  
Ahmad Muzaffar ◽  
Adhe Saputra

Small sided-games training is a small-scale field, an appropriate situation developed for young players, so they can learn and develop. Small sided games training is also one of the methods of soccer training using smaller fields with fewer players. This training method  is a fairly effective exercise in physical improvement, techniques and tactics Passing is to feed the ball or pass the ball to a friend, while passing determination is the ability to set goals / pass the ball according to the goal or target. This research is an experimental research conducted with the aim to find out whether or not there is a result of something done on the sample to be studied. The research began with a pretest and ended with a posttest. The number of samples in this study amounted to 20 people. The training given was done during 16 meetings. This research was tested using a statistical analysis of the hipotsis test (t test). Based on data analysis, it can be concluded that the small sided games exercise gives a significant effect on the accuracy of passing on extracurricular students at SMP Negeri  1 Muaro Jambi, proven in the pre-test and post-test assessments with an average pre-test = 505 and post-test = 7.65, with the increment difference of 7.65. This can be seen by the T test that is Tcount = 3.492787 ˃ Ttable = 1.72913. Based on the results of research and  calculations from the data and discussions that have been carried out, this research proves that there is an influence of small sided games training on the passing accuracy of extracurricular students at Muaro Jambi State Junior High School. Small sided-games training is a small-scale field, an appropriate situation developed for young players, so they can learn and develop. Small sided games training is also one of the methods of soccer training using smaller fields with fewer players. This training method  is a fairly effective exercise in physical improvement, techniques and tactics Passing is to feed the ball or pass the ball to a friend, while passing determination is the ability to set goals / pass the ball according to the goal or target. This research is an experimental research conducted with the aim to find out whether or not there is a result of something done on the sample to be studied. The research began with a pretest and ended with a posttest. The number of samples in this study amounted to 20 people. The training given was done during 16 meetings. This research was tested using a statistical analysis of the hipotsis test (t test). Based on data analysis, it can be concluded that the small sided games exercise gives a significant effect on the accuracy of passing on extracurricular students at SMP Negeri  1 Muaro Jambi, proven in the pre-test and post-test assessments with an average pre-test = 505 and post-test = 7.65, with the increment difference of 7.65. This can be seen by the T test that is Tcount = 3.492787 ˃ Ttable = 1.72913. Based on the results of research and  calculations from the data and discussions that have been carried out, this research proves that there is an influence of small sided games training on the passing accuracy of extracurricular students at Muaro Jambi State Junior High School.


Proceedings ◽  
2018 ◽  
Vol 2 (15) ◽  
pp. 1152
Author(s):  
Aidan Reilly ◽  
Richard O'Hegarty ◽  
Oliver Kinnane

This paper presents work developing thin precast concrete sandwich panels for recladding and overcladding applications. These panels are designed for the retrofit of precast concrete structures where the underlying frame is structurally sound. Structural and thermal testing has been carried out to validate the performance of the panels. The panels are designed to have thermal performance better than current national standards, and this has been verified through hot-box testing of components and small-scale panels. Structural performance of the panels has been tested with 3 point bending tests on full-scale panels. Work is in progress towards demonstration of the panels on an occupied building in the UK.


Author(s):  
Brian Smith ◽  
David Romero ◽  
Damena Agonafer ◽  
Jason Gu ◽  
Cristina H. Amon

Extreme miniaturization in the microelectronics component market along with the emergence of system-on-chip applications has driven interest in correspondingly small-scale thermal management designs requiring novel material systems. This paper concentrates on aerogel, which is an amorphous, nanoporous dielectric oxide fabricated through a sol-gel process. Its extremely high porosity leads to very low thermal conductivity and dielectric constants. Significant research has been devoted to its electrical properties; however, there are several emerging applications that can leverage the thermal characteristics as well. Two promising applications are investigated in this paper: a monolithically integrated infrared sensor that requires thermal isolation between sensor and silicon substrate, and an ultra-miniature crystal oscillator device which demands thermal insulation of the crystal for low-power operation. This paper identifies the potential benefits of aerogel in these applications through system modeling, demonstrates aerogel’s compatibility with standard low-cost microfabrication techniques, and presents results of thermal testing of aerogel films compared with other microelectronics insulators and available data in the literature. The goal is to explore system thermal design using aerogel while demonstrating its feasibility through experimentation. The combination of numerical simulations, Bayesian surrogate modeling, and process development helps to refine candidate aerogel applications and allow the designer to explore thermal designs which have not previously been possible in large-scale microelectronics system production.   This paper was also originally published as part of the Proceedings of the ASME 2005 Pacific Rim Technical Conference and Exhibition on Integration and Packaging of MEMS, NEMS, and Electronic Systems.


2014 ◽  
Vol 40 (1) ◽  
pp. 109-126 ◽  
Author(s):  
Mary M. Sandstrom ◽  
Geoffrey W. Brown ◽  
Daniel N. Preston ◽  
Colin J. Pollard ◽  
Kirstin F. Warner ◽  
...  

2021 ◽  
Vol 21 (S2) ◽  
Author(s):  
Yidi Cui ◽  
Bo Gao ◽  
Lihong Liu ◽  
Jing Liu ◽  
Yan Zhu

Abstract Background Formula is an important means of traditional Chinese medicine (TCM) to treat diseases and has great research significance. There are many formula databases, but accessing rich information efficiently is difficult due to the small-scale data and lack of intelligent search engine. Methods We selected 38,000 formulas from a semi-structured database, and then segmented text, extracted information, and standardized terms. After that, we constructed a structured formula database based on ontology and an intelligent retrieval engine by calculating the weight of decoction pieces of formulas. Results The intelligent retrieval system named AMFormulaS (means Ancient and Modern Formula system) was constructed based on the structured database, ontology, and intelligent retrieval engine, so the retrieval and statistical analysis of formulas and decoction pieces were realized. Conclusions AMFormulaS is a large-scale intelligent retrieval system which includes a mass of formula data, efficient information extraction system and search engine. AMFormulaS could provide users with efficient retrieval and comprehensive data support. At the same time, the statistical analysis of the system can enlighten scientific research ideas and support patent review as well as new drug research and development.


2021 ◽  
Vol 13 (21) ◽  
pp. 11706
Author(s):  
David Israel Contreras-Medina ◽  
Sergio Ernesto Medina-Cuéllar ◽  
Julia Sánchez-Gómez ◽  
Carlos Mario Rodríguez-Peralta

Currently, technology usage is a fundamental asset for creating, developing, and implementing innovations; however, these are not available to everyone, which is accentuated in women with agricultural occupations. The present study develops a proposal of technologies for mezcalilleras’ sustainability from Oaxaca, Mexico, based on a knowledge management methodology, through the application of questionnaires in face-to-face sessions, field visits, and statistical analysis to explore the imbalances enclosed in the agave–mezcal activity seen as its problems, failures, and barriers, as well as its correlation with the identified technological routes. The results reveal that a technological platform creation, the fabrication of fiber optic refractometer, a metal roof construction, the design of a horizontal distiller–fractionator, the employment of metal containers and production of glass bottles, and the generation of a software and an application, are the suitable technologies, according to the mezcalilleras’ requirements. This proposal can be important for academics, policymakers, and producers who wish to revitalize traditional knowledge of the small-scale sectors in Mexico through new ways of interaction with external agents and customers, new ways of production, and previous years’ production analysis.


2012 ◽  
Vol 16 (11) ◽  
pp. 4101-4117 ◽  
Author(s):  
A. Wagner ◽  
J. Seltmann ◽  
H. Kunstmann

Abstract. First results of radar derived climatology have emerged over the last years, as datasets of appropriate extent are becoming available. Usually, these statistics are based on time series lasting up to ten years as continuous storage of radar data was often not achieved before. This kind of climatology demands a high level of data quality. Small deviations or minor systematic under- or overestimations in single radar images become a major cause of error in statistical analysis. Extensive corrections of radar data are a crucial prerequisite for radar derived climatology. We present a new statistical post-correction scheme based on a climatological analysis of seven years of radar data of the Munich weather radar (2000–2006) operated by DWD (German Weather Service). Original radar products are used subject only to corrections within the signal processor without any further corrections on single radar images. The aim of this statistical correction is to make up for the average systematic errors caused by clutter, propagation, or measuring effects but to conserve small-scale natural variations in space. The statistical correction is based on a thorough analysis of the different causes of possible errors for the Munich weather radar. This analysis revealed the following basic effects: the decrease of rain amount as a function of height and distance from the radar, clutter effects such as clutter remnants after filtering, holes by eliminated clutter or shading effects from obstacles near the radar, visible as spokes, as well as the influence of the bright band. The correction algorithm is correspondingly based on these results. It consists of three modules. The first one is an altitude correction which minimises measuring effects. The second module corrects clutter effects and disturbances and the third one realises a mean adjustment to selected rain gauges. Two different sets of radar products are used. The statistical analysis as well as module 1 and module 2 of the correction algorithm are based on frequencies of the six reflectivity levels within the so-called PX product. For correction module 3 and for the validation of the correction algorithm, rain amounts are calculated from the 8-bit so-called DX product. The correction algorithm is created to post-correct climatological or statistical analysis of radar data with a temporal resolution larger than one year. The correction algorithm is used for frequencies of occurrence of radar reflectivities which enables its application even for radar products such as DWD's cell-tracking-product CONRAD. Application (2004–2006) and validation (2007–2009) periods of this correction algorithm with rain gauges show an increased conformity for radar climatology after the statistical correction. In the years 2004 to 2006 the Root-Mean-Square-Error (RMSE) between mean annual rain amounts of rain gauges and corresponding radar pixels decreases from 262 mm to 118 mm excluding those pairs of values where the rain gauges are situated in areas of obviously corrupted radar data. The results for the validation period 2007 to 2009 are based on all pairs of values and show a decline of the RMSE from 322 mm to 174 mm.


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