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Online since: February 2014
Authors: Lei Ming Shi, Zhi Hong Wang, Yi Ming Shao, Li Ge Mei
It had a certain reference value on CDV vehicle diesel emission reduction.
At the same time, It could provide some experimental data analysis and thinking for the effective control of various intelligent variable valve timing[3-5].
The relevant data was analyzed and studied with the Dongfeng Nissan CDV.
Exhaust lag angle was fixed 37°CA.Air fuel ratio sampling results were shown in fig. 2 ~7 of the data capture rule curve.
The results also provided reliable analytical data for Optimization of CDV vehicles and other vehicles with internal combustion engine and chassis.
At the same time, It could provide some experimental data analysis and thinking for the effective control of various intelligent variable valve timing[3-5].
The relevant data was analyzed and studied with the Dongfeng Nissan CDV.
Exhaust lag angle was fixed 37°CA.Air fuel ratio sampling results were shown in fig. 2 ~7 of the data capture rule curve.
The results also provided reliable analytical data for Optimization of CDV vehicles and other vehicles with internal combustion engine and chassis.
Online since: October 2011
Authors: Sofiya Jesudoss, Auxeeliya Jesudoss, Ashraph Sulaiman
NIDS needs to be concentrated more as it has to capture large amount of data packets traveling on the network media (cables, wireless) and match them to a database of signatures.
Matching the header portion of a Data packet eliminates many rules and determines a handful of applicable rules that can be checked more efficiently by a full match module [1].
Therefore pre-filtering approach matches a small portion header + a small suffix/prefix of the payload from each IDS rule with the data packets in the first step of pattern matching [2].
Proper analysis of network traffic often requires the use of tools such as snoop or tcpdump for gathering network and session data not available with some NIDS logging facilities.
For further research the optimum number of threads for parallel execution of candidate rules could be measured for fixed and variable size of data packets and SNORT rules.
Matching the header portion of a Data packet eliminates many rules and determines a handful of applicable rules that can be checked more efficiently by a full match module [1].
Therefore pre-filtering approach matches a small portion header + a small suffix/prefix of the payload from each IDS rule with the data packets in the first step of pattern matching [2].
Proper analysis of network traffic often requires the use of tools such as snoop or tcpdump for gathering network and session data not available with some NIDS logging facilities.
For further research the optimum number of threads for parallel execution of candidate rules could be measured for fixed and variable size of data packets and SNORT rules.
Online since: August 2008
Authors: Goutam Mohapatra, Satyam S. Sahay
The temperature correction procedure [3] is highly sensitive to the fluctuation in the
experimental length change data, making it unsuitable for very noisy data.
The method is validated with the experimental data obtained for γ→α transformation, for Fe-5.93% Ni system, under various applied cooling rates in the range of 20 to 220 Kmin-1.
The transformed ferrite fraction, fα, was determined from the length change data employing lever rule (see Fig. 4 for an applied cooling rate of 20 Kmin-1).
Instead of the average temperature, one could also determine the equivalent temperature [3] which is expected to closely fit with the measured transformed ferrite fraction data.
Sommer for allowance to use these experimental data which were performed in Stuttgart under their guidance.
The method is validated with the experimental data obtained for γ→α transformation, for Fe-5.93% Ni system, under various applied cooling rates in the range of 20 to 220 Kmin-1.
The transformed ferrite fraction, fα, was determined from the length change data employing lever rule (see Fig. 4 for an applied cooling rate of 20 Kmin-1).
Instead of the average temperature, one could also determine the equivalent temperature [3] which is expected to closely fit with the measured transformed ferrite fraction data.
Sommer for allowance to use these experimental data which were performed in Stuttgart under their guidance.
Online since: April 2021
Authors: N. Sivanantham, M. Sujith, A. Dinakaran
The UART provides the communication for to transmit and receive only the serial data.
This sensor has additional control circuitry which will prevent inconsistent "bouncy" data counting on the appliance.
Figure 6 Proposed Systems with Arduino Then the UART (Universal Asynchronous Receiver Transmitter) wont to communicate only the serial data both at the transmitter and receiver side.
Futurework In this paper Bluetooth is employed for transferring data between fixed and mobile devices over short distances using short-wavelength UHF radio waves within the industrial, scientific and medical radio bands, and building personal area networks from 2.402 GHz to 2.480 GHz.
It’s an open and digital cellular technology used for transmitting mobile voice and data services operates at the 850MHz, 900MHz, and 1800 MHz and1900MHz frequency bands.
This sensor has additional control circuitry which will prevent inconsistent "bouncy" data counting on the appliance.
Figure 6 Proposed Systems with Arduino Then the UART (Universal Asynchronous Receiver Transmitter) wont to communicate only the serial data both at the transmitter and receiver side.
Futurework In this paper Bluetooth is employed for transferring data between fixed and mobile devices over short distances using short-wavelength UHF radio waves within the industrial, scientific and medical radio bands, and building personal area networks from 2.402 GHz to 2.480 GHz.
It’s an open and digital cellular technology used for transmitting mobile voice and data services operates at the 850MHz, 900MHz, and 1800 MHz and1900MHz frequency bands.
Online since: July 2011
Authors: Zuo Hua Liu, Qi Qin Zeng, Xiao Xia Zhou, Wei Zheng Ning, Rui Xiang Sun, Chang Yuan Tao
Now many techniques were extensively used to get the instantaneous data in flow field (say, using techniques like particle image velocimetry (PIV)).
Yamada [19] and Charles Meneveau [20] previously decomposed the experimental data of turbulent structures into a number of subsets based on different scales for statistical analysis.
Conclusions l Employed the wavelet time-frequency analysis method to detect, extract and analyze the characteristics of turbulence or eddy structures from the experimental data.
Alfredo, “Microbubble drag reduction phenomenon study in a channel flow,” Ph.D.
Camussi, “Coherent structure identification from wavelet analysis of particle image velocimetry data,” Experiments in Fluids, vol. 31 (2002), p. 76–86 [11] S.
Yamada [19] and Charles Meneveau [20] previously decomposed the experimental data of turbulent structures into a number of subsets based on different scales for statistical analysis.
Conclusions l Employed the wavelet time-frequency analysis method to detect, extract and analyze the characteristics of turbulence or eddy structures from the experimental data.
Alfredo, “Microbubble drag reduction phenomenon study in a channel flow,” Ph.D.
Camussi, “Coherent structure identification from wavelet analysis of particle image velocimetry data,” Experiments in Fluids, vol. 31 (2002), p. 76–86 [11] S.
Online since: January 2014
Authors: K.C. Leong, C. Yang, L.X. Zheng, P.K. Chan, I. Pranoto
Therefore, more experimental data from different types of CNT structures and under various boiling parameters would be useful to further the understanding of the boiling performance and enhancement mechanism from the CNT structures.
Data Reduction and Uncertainty Analysis.
By using a “Yokogawa MX 100” data acquisition system (DAQ), signals from the sensors were recorded on a personal computer.
The flow boiling heat transfer coefficient (hfb) is defined as (2) To minimize data reduction uncertainty, the time-averaging method was employed to reduce the data derived from the experiments.
From the data, the average wall temperature difference between the coolant mass flux of 35 kg/m2·s to the mass fluxes of 50 and 65 kg/m2·s were calculated.
Data Reduction and Uncertainty Analysis.
By using a “Yokogawa MX 100” data acquisition system (DAQ), signals from the sensors were recorded on a personal computer.
The flow boiling heat transfer coefficient (hfb) is defined as (2) To minimize data reduction uncertainty, the time-averaging method was employed to reduce the data derived from the experiments.
From the data, the average wall temperature difference between the coolant mass flux of 35 kg/m2·s to the mass fluxes of 50 and 65 kg/m2·s were calculated.
Online since: December 2012
Authors: Hui Yan Wang, Xiao Jing Liu, Jin Sheng Li, Chun Ping Liu, Ji Yi Jiang
Comprehensive disaster prevention and mitigation system is reflected in two aspects, one is to conduct a comprehensive plan to natural disasters and man-made disasters, primary and secondary disasters, and the other one is the disaster relief and reduction measures and other measures to co-ordinate arrangements to reflect the comprehensive strategy.
Since the 1990s, many scholars, such as CHEN Shao-fu, had proposed the basic model of comprehensive disaster mitigation plan which includes the investigation of disaster, disaster prediction, disaster risk zoning, comprehensive disaster reduction objectives, comprehensive disaster planning measures, and cost-benefit analysis [3]; Lei Jin put forward the problems about standards for editing the planning[4].
However, there are several limitations in drawing up the regional planning: basic data about national survey, mapping, meteorology, seismology, hydrology and environment is not enough because of system of department in county and scare economic resources.
In the terms of the current status of disaster planning methods, combined with Tanghai County’s practice of comprehensive disaster mitigation planning, county-based planning of comprehensive disaster prevention and reduction should include the following basic components: Survey and assessment of disaster risks.
Study of city comprehensive disaster reduction planning models[J].
Since the 1990s, many scholars, such as CHEN Shao-fu, had proposed the basic model of comprehensive disaster mitigation plan which includes the investigation of disaster, disaster prediction, disaster risk zoning, comprehensive disaster reduction objectives, comprehensive disaster planning measures, and cost-benefit analysis [3]; Lei Jin put forward the problems about standards for editing the planning[4].
However, there are several limitations in drawing up the regional planning: basic data about national survey, mapping, meteorology, seismology, hydrology and environment is not enough because of system of department in county and scare economic resources.
In the terms of the current status of disaster planning methods, combined with Tanghai County’s practice of comprehensive disaster mitigation planning, county-based planning of comprehensive disaster prevention and reduction should include the following basic components: Survey and assessment of disaster risks.
Study of city comprehensive disaster reduction planning models[J].
Online since: August 2019
Authors: Abdelkader Lousdad, Abdelkader Slimane, Sid Ahmed Dahmane, Abdelkader Megueni, Abdelwahab Azzedine
The solution of the problem of optimizing the trajectory of the tool plays an important role mainly in the mass production due to the reduction of time [3-7].
Depending on, the purpose of the research is the reduction of the tool path and time processing of PCB (punched circuit boards) [13, 14].
Parameter Value Population Size 200 Crossover Function Partially Matched Crossover Mutation Function Reciprocal Exchange Elite count 2 Crossover Fraction 0.8 Mutation Fraction 0.08 The Machining data and coordinates of points to be machined are entered to the program.
Reduction in machining time and distance.
Conditions Machining time (sec) Reduction in time (sec) %Reduction in time %Reduction in distance Using random Selection 2911.76 947.40 32.55 % 53.98% Using genetic algorithm 1964.10 XI.
Depending on, the purpose of the research is the reduction of the tool path and time processing of PCB (punched circuit boards) [13, 14].
Parameter Value Population Size 200 Crossover Function Partially Matched Crossover Mutation Function Reciprocal Exchange Elite count 2 Crossover Fraction 0.8 Mutation Fraction 0.08 The Machining data and coordinates of points to be machined are entered to the program.
Reduction in machining time and distance.
Conditions Machining time (sec) Reduction in time (sec) %Reduction in time %Reduction in distance Using random Selection 2911.76 947.40 32.55 % 53.98% Using genetic algorithm 1964.10 XI.
Online since: May 2011
Authors: Riyas Katayan, Shwe Sin Win, Rui Qi Lim, Kripesh Vaidyanathan
The optical imaging module is interfaced with a RF communication unit, consisting of a base-band IC and antenna, to enable wireless transmission of dynamic image data to an external data processing and visualization unit.
The present capsule endoscopes carry a lower resolution image module (320 x 320) and frame rate (3fps), as per the available product data sheet in the public domain.
Image sensor is programmed for 9 bit RGB Bayer data output format.
It supports scalable data rate from 1Mbps to 15Mbps.
Further reduction in the power requirements can be met by operating the image module in pulsed mode.
The present capsule endoscopes carry a lower resolution image module (320 x 320) and frame rate (3fps), as per the available product data sheet in the public domain.
Image sensor is programmed for 9 bit RGB Bayer data output format.
It supports scalable data rate from 1Mbps to 15Mbps.
Further reduction in the power requirements can be met by operating the image module in pulsed mode.
Online since: October 2013
Authors: V.O. Zaloha, Ruslan M. Zinchenko, Anna V. Honshchyk
They designed a model of neuro-fuzzy system using the experimental results as an input data.
Each experiment is to train ANFISnetwork with a training data set, containing nine pairs of values.
The next step is to verify the system with a testing data set, containing also nine pairs of values.
In turn, each stage has five steps: 1) loading of training data set.
This system has the second largest error of the wear determination for the training data set (0.03%), but has the minimum error for the testing data set (4.03%) (Fig. 2).
Each experiment is to train ANFISnetwork with a training data set, containing nine pairs of values.
The next step is to verify the system with a testing data set, containing also nine pairs of values.
In turn, each stage has five steps: 1) loading of training data set.
This system has the second largest error of the wear determination for the training data set (0.03%), but has the minimum error for the testing data set (4.03%) (Fig. 2).