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Online since: August 2020
Authors: Charmane Dawn H. Esper, Hana Astrid R. Canseco
(a) (b) (c) Figure 2: Experimental Set-Up for (a) Tensile Strength Parallel to the Surface, (b) Tensile Strength Perpendicular to the Surface, and (c) Flexural Strength using Universal Testing Machine Data Analysis.
This test determines whether a set of data is normally distributed.
This indicates that the data for all the responses follow a normal distribution confirming the applicability of ANOVA.
These values indicate a good correlation of the obtained data for the mechanical responses.
The R2 adj value of 45.05% for the flexural strength suggests that the data contain an inherently amount of variability.
Online since: November 2011
Authors: A.R. Hemdi, M.Z.M. Saman, Norhayati Zakuan
Survey methodology was employed to collect data.
While useful, the design related data tends to be limited and no or very little detailed data is included.
A survey is considered the most economical among methods available for data collection due to its ability in performing efficient data collection [11], which had been used by the authors.
Mail survey was conducted to collect data in this study.
The model is tested for the data from Malaysia automotive respondents (n=104).
Online since: July 2014
Authors: Cheng Sheng Liu, Ren Zhang, Min Zhang
Rural healthcare centers can largely benefit from cloud based models in terms of cost reduction and resource utilization.
Similar system is Electronic Medical Records (EMR)[6] or Personal Health Record(PHR)[7] that able to store medical data for patients.
Because of the application and data is hosted outside of the organization in the cloud computing environment, the cloud service provider ought to use authentication and authorization services.
Recommended technical solutions are hybrid storage architecture which using relational database on structured data management and applying HDFS to unstructured data.
Further work includes system improvement of security and performance and research on data mining of existing health data.
Online since: March 2019
Authors: Theodor Staněk, Martin Boháč, Radoslav Novotný, Anežka Zezulová, Dana Kubátová, Alexandra Rybová
Implementation of high belite cement in cement production would have strong environmental impact in reduction CO2 emissions and saving of pure limestone deposits.
Introduction A major reason for using reactive high belite cement (HBC) instead of ordinary Portland cement (PC) is along with reduction of CO2 emissions improved durability mainly due to smaller proportion of portlandite Ca(OH)2 (CH) in the hydration products [1] and its low heat of hydration [2].
Data were processed using EVA software.
Combined TGA/DTA data were obtained using STA 449 F3 Jupiter (by Netzsch).
Online since: September 2014
Authors: Ling Ling Zhu, Hua Ge, Ren Yong Huang
Based on the measured data of Yichang hydrologic station, which is located at the entrance of the middle Yangtze River, the changes of the sediment input into the middle Yangtze River reach in recent 50 years were carried out, and its reasons were analyzed.
The measured data includes day-averaged discharge and sediment concentration, and the annual sand grains gradation.
Compared the data in 1990s to that before 1990, the reduced amplitude of the annual sediment input reached to about 20%.
It is easy to find that different degrees of reduction appeared during the period influenced by those human activities from Figure 2.
Summary Based on the measured hydrologic data of Yichang station, summaries of the change of the sediment input into middle Yangtze River in recent 50 years were carried out, and its reasons were analyzed.
Online since: August 2011
Authors: Kun Bai, Zhao Yong Zheng, Li Gang Wu, Qiu Hua Nie, Shi Xun Dai, Bo You Zhou, Xiang Jun Ma
Based on the consistency between simulation results and experiment data, considering the steady temperature distribution of the lamp and heat transfer theory, several optimization methods are proposed.
The simulation results were discussed, compared with the experimental data.
So the junction temperature TJ can be calculated by equation (2) TJ=76.0℃+16℃/W×(3.4V×700mA)=114.08℃ The relative error between the simulation results and experimental data is 2.5%.
The results also indicate that the temperature reduction of junction is less obvious as the increment of copper pad surface area beyond the factor of 1.8mm2.
The temperature reduction is less obvious when the natural convection coefficient beyond the factor of 6W/(m2·K).
Online since: August 2018
Authors: Glenn W. Gale
Now the connection of various products and machines to the internet is generating new and extensive demands for memory (storage of the data), logic (intelligent processing of the data including machine learning), and sensing (e.g., image sensors generating visual data).
With over half the world now connected to the internet [1], connectivity has begun expanding to various devices and machines transferring data and remotely storing it.
Associated massive amounts of generated data require fast local data reduction processing in combination with high volumes of memory storage, while high performance is required for machine learning and applications requiring minimal lag times (latency) such as autonomous driving and assisted surgery.
CAGR: Figure 1: Forecasted compound annual growth rate (CAGR) of semiconductor revenue by product category for 2017 – 2022 (data from reference [5]).
Growth is currently being driven by memory primarily, due to increasing data storage requirements.
Online since: July 2019
Authors: Gil Yong Chung, Balaji Raghothamachar, Tuerxun Ailihumaer, Ian Manning, Michael Dudley, Jian Qiu Guo, Ouloide Goue, Edward Sanchez
This result corresponded to a flattening of the resistivity distribution, and a ~34% reduction in on- and off-facet resistivity differential.
Results and Discussion Composite maps of TEDs, TSDs, and BPDs were constructed based on etch pit data for ≥20 wafers from each of the three tested process conditions.
Further work is required to understand the observed reduction in the local variation of on-wafer resistivity corresponding to global changes in the partial pressure of nitrogen.
Online since: March 2012
Authors: Pu Kai Wang, Min Lin, Yu Cai Dong, Ling Zhang, Ge Hua Fan, Liang Hai Yi
Projection pursuit method[5] is presented as an exploratory analysis by Friedman and Turkey in 1974, as well as a deterministic analysis of clustering and classification method, whose essence is from a different perspective to observe data, looking to the greatest extent reflects the characteristics of the data and to fully tap the data information of the optimal projection method.
In essential, p dimensional data is integrated into as the value in projected direction.
Through solving the maximum value of projection index function, we can obtain the optimal direction of projection, and fully reveal certain structure features of high dimensional data.
[5] Friedman JH, Tukey JW.A. projection pursuit algorithm for exploratory data analysis[J].
Projection-pursuit-based dimension reduction for visualization of text feature .
Online since: February 2009
Authors: Di Zhu, Wei Wang, Shao Fu Huang, Yong Liu, Yong Bin Zeng
The current data is acquired by data acquisition card in real time.
It is necessary that the system makes corresponding response in time according to the monitored current data.
The precision lead screw's rotation is driven by stepping motor through a large reduction ratio gear reducer.
Control System The modular structure of the control system software based on Lab Windows CVI includes data acquisition subsystem, processing control subsystem, and human-computer interaction subsystem (fig. 5).
The control system can realize the following operations: reading DXF data, trajectory control, numerical calculation, front panel display, and file operation.
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