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Online since: September 2004
Authors: Janice M. Dulieu-Barton, S. Quinn
As such these data points have been excluded from the calculation of the line of best fit.
The data point provided by Tafreshi and Thorpe's FE study [11] is also not consistent with the other data.
A method of correction for edge effects, by extrapolating data to the true edge of the hole, was used in Ref. [15] and all thermoelastic data presented in this paper has been edge corrected in this manner.
However, to show the effect of this method of edge correction the raw thermoelastic data is indicated in Fig. 4 by the filled triangle, with the edge corrected data being represented by the filled circle.
Although there is a wide scatter the only data that has been excluded from these calculations is the experimental data of Ellyin [12] and Rau [16] for α = 45º, which clearly does not fit the general trend.
Online since: May 2011
Authors: Emad Gheibi, Mohammad Hosein Bagheripour
Unlike previous methods which result in scatter in output data, current approach has led to more uniform and consistent results for each earthquake.
In this method, Neq is achieved through performing nonlinear site response analysis for an earthquake input data and using mathematical relations which conceptually assesses Neq.
Present Concept Movement of sand particles requires spending energy and in earthquake occurance this results in, reduction in earthquake energy which is known as dissipated energy during an earthquake.
Online since: January 2013
Authors: Esah Hamzah, Joy Rizki Pangestu Djuansjah, Tomohiro Takaki, Raden Dadan Ramdan, Bondan Tiara Sofyan
Focus was given on the morphological growth of dendrite structure of Al-Si cast alloys, therefore thermodynamic data were taken for this type of materials.
For the present works, material data was taken for Al-Si alloys which are good examples of metal cast alloy and widely used in automotive industries due to their good castability, low thermal expansion coefficient and excellent mechanical properties [15, 16].
Loh, The reduction of dendrite ARM spacing using a novel pressure-assisted investment casting approach, J.
Online since: June 2008
Authors: Filipe Neves, Maria-Teresa Freire Vieira, Vanessa Livramento, Jose Brito Correia, Rosa Calinas
Copper nitride films prepared by sputtering have applications such as optical data storage material, insulation barriers in micro electronic devices and coatings for mechanical applications.
Introduction Copper nitride films produced by reactive sputtering, have been an active theme of research, because of their potential applications in optical data storage and insulation barriers for micro electronic devices [1,2].
An area reduction of 7:1 and a 45º conical die configuration were used.
Online since: June 2010
Authors: Suresh Palanisamy, R. Mark Hodge, Matthew S. Dargusch
Data generated from a range of participating sources conducting machining trials of identical titanium and stainless steel components is compared and contrasted in the context of best practice development.
Typically benchmarking involves the comparison of performance data.
The same change in tool design will likewise result in a reduction in the tendency for vibration during thin-wall machining and contribute towards reduced cycle-times.
Online since: August 2013
Authors: Ai Zhi Liu, Bao An Li, An Min Xi
We can see that one Terrestrial or Satellite Link is corresponding to one UAV, and one General FCC controls one UAV; Standard Interface Device turns the Telemetry Data, which is received from Terrestrial Link or Satellite Link, to standard data, which is followed the STANAG 4586, and turns standard data to Remote Data for controlling the UAVs.
The standard data is transferred on the Gigabit Ethernet.
Our Standard Interface not only turns the Telemetry Data from different UAVs to standard data, but also can turn standard data to Remote Data.
At the same time, there is no needing to modify the specific UAV data link requirements.
Investigation of Human Factors in UAV Accidents Based on Analysis of Statistical Data.
Online since: May 2014
Authors: Yi Hui He
(1) Sensor: A client’s biometric data is captured using sensors.
(1) Data fusion level: Data fusion is the process of combining data streams of raw measurement coming from different sensors directly
The data obtained from each sensor is used to compute a feature vector.
Data fusion is the most difficult one because of the strong correlativity between the different original data which are captured by several sensors.
Fusion at data level and feature level should be paid more attention to.
Online since: July 2011
Authors: Yong Qiang Wang, Yun Yue, Xiao Fei Liu
Special application service data unit(ASDU) format.
Allow protection and control access to data across the bus segment.
In the point to point mode current data and voltage data are to be synthesized into a complete sampled data, which will be finally transmitted though fiber optic all the way to the protection, monitoring, metering and other equipments.
Only with data concentrator it can integrate the data of each bay combiner and export it.
When there are a number of bays it is a big challenge to both the data processing ability and the real time in data forwarding of the data concentrator. 3) Installation is not flexible.
Online since: January 2025
Authors: Tran Anh Vu, Pham Thi Viet Huong, Phung Van Kien, Hoang Quang Huy, Nguyen Ngoc Tram
This includes a thorough overview of the pre-processing stage to optimize data for segmentation.
Data Pre-processing In this stage, the focus is placed on data preparation by pre-processing the raw input images to optimize the training results.
For accurate diagnosis, data images must maintain high visual quality with minimal degradation.
This allows the model to detect complex spatial and temporal structures within the data.
Gooding, Data from Lung CT Segmentation Challenge, The Cancer Imaging Archive, 2017
Online since: December 2010
Authors: Antonios G. Kladas, Eleftherios I. Amoiralis, Marina A. Tsili, Athanassios T. Souflaris, Pavlos S. Georgilakis
Furthermore, Rubaai [7] describes a computer program yielding an optimal design of a distribution transformer based on user input data.
Data Input Two groups of input data must be defined by the user, prior to the transformer design optimization process, concerning: i) the transformer technical characteristics and ii) the mixed nonlinear programming methodology parameters.
These data are necessary for the execution of the algorithm and the derivation of the optimum transformer design.
The 3D FEM model incorporated in TDO software, developed in [19], is built automatically, using the geometrical data of the optimum solution and computes the transformer magnetostatic field under short-circuit test, according to its main electrical data.
For the above input data, 188 optimum designs were produced, using both methodologies.
Showing 21341 to 21350 of 40694 items