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Online since: June 2022
Authors: Kailasnath Sutar, Mujahid Momin, Himanshu Rohaj, Jahan Zeb Khan, Hitesh Karakoti
There was 50% reduction in CO emissions due to use of improved cookstoves as compared to traditional stove.
The authors found that at high secondary air flow rate there was reduction in CO and PM emissions whereas there was increase on NO emissions.
Houshfar et al. [28] reported about 85% reduction in NOx emissions with staged air combustion while conducting experiments on a reactor using demolition wood pellets as a biomass fuel.
· Field studies on both the cookstoves will be conducted in more number of families and the real time data on fuel consumption and pollutant emissions will be analysed and changes in design of the cookstoves will be modified to make them user-friendly.
Yeohb, Air staging strategies in biomass combustion-gaseous and particulate emission reduction potentials.
The authors found that at high secondary air flow rate there was reduction in CO and PM emissions whereas there was increase on NO emissions.
Houshfar et al. [28] reported about 85% reduction in NOx emissions with staged air combustion while conducting experiments on a reactor using demolition wood pellets as a biomass fuel.
· Field studies on both the cookstoves will be conducted in more number of families and the real time data on fuel consumption and pollutant emissions will be analysed and changes in design of the cookstoves will be modified to make them user-friendly.
Yeohb, Air staging strategies in biomass combustion-gaseous and particulate emission reduction potentials.
Online since: May 2023
Authors: Ramdane Chihaoui, Hocine Siad, Abdelhamid Mejdoub Nefoussi, Mohamed Mouli, Mohamed Lachemi, Ayed Kada, Ezziane Mohammed
A slight reduction in strength was anticipated for some concretes between 105 °C and 320 °C, which was also accompanied by the appearance of micro cracks [8].
By exceeding 300 °C, PP fibred concrete can become more highly porous than plain concrete, thus causing durability issues and probable reduction in the mechanical proprieties [12-15].
At this range of temperature, literature indicated a reduction of tensile properties of SF and peeling off of cement matrix from its surface.
Another NDT process that doesn’t necessarily involve the compressive strength data in its evaluation is the resonance frequency method, which uses its measurements to directly predict the degree of thermal damage.
Although all specimens showed significant reductions of UPV values at 800 °C, the results confirmed the greater positive effect of SF than PP in retaining higher velocities of FRCs since UPV reduction in SFRC was around 10%, 15% and 5% lower than that of NC, PPFRC and HFRC respectively.
By exceeding 300 °C, PP fibred concrete can become more highly porous than plain concrete, thus causing durability issues and probable reduction in the mechanical proprieties [12-15].
At this range of temperature, literature indicated a reduction of tensile properties of SF and peeling off of cement matrix from its surface.
Another NDT process that doesn’t necessarily involve the compressive strength data in its evaluation is the resonance frequency method, which uses its measurements to directly predict the degree of thermal damage.
Although all specimens showed significant reductions of UPV values at 800 °C, the results confirmed the greater positive effect of SF than PP in retaining higher velocities of FRCs since UPV reduction in SFRC was around 10%, 15% and 5% lower than that of NC, PPFRC and HFRC respectively.
Online since: June 2019
Authors: Peter Horst, Benjamin Begemann
The results show good agreement between the prediction and the experimental data.
The [0/905/0]-laminate model is in good agreement with the experimental data.
The data of the [0/902/01/2]s-laminate show consistency for low crack density values.
This means the more accurate the crack density data is evaluated the better the degradation is predicted.
In contrast to that the experimental fatigue data shows specimen degradation.
The [0/905/0]-laminate model is in good agreement with the experimental data.
The data of the [0/902/01/2]s-laminate show consistency for low crack density values.
This means the more accurate the crack density data is evaluated the better the degradation is predicted.
In contrast to that the experimental fatigue data shows specimen degradation.
Online since: July 2025
Authors: Tania Avianda Gusman, Indah Karina Yulina, Rahma Nur Kholifah
The observed data obtained will be interpreted into the specified categories.
Based on the data and theory, it can be concluded that the experimental and control class pretest data have the same variance from the two groups.
While the homogeneity test of experimental and control class posttest data has a sig value of 0.331 > 0.05.
Based on the data, it can be concluded that the post-test data of the two groups have the same variant.
Based on the value of sig (2-tailed) pretest and posttest data have a value of 0.000, meaning the value of sig < 0.05.
Based on the data and theory, it can be concluded that the experimental and control class pretest data have the same variance from the two groups.
While the homogeneity test of experimental and control class posttest data has a sig value of 0.331 > 0.05.
Based on the data, it can be concluded that the post-test data of the two groups have the same variant.
Based on the value of sig (2-tailed) pretest and posttest data have a value of 0.000, meaning the value of sig < 0.05.
Online since: August 2013
Authors: Zhen Hua Wang, Ge Fei Yu
Environment data collecting system mainly collects pressure, pressure and data of CNG gas storage pot.
The text message is sent to the data center of Mobile Corporation, the communication module is connected to the data center via computer serial interface.
If the pressure data is normal, the working status of the pipes can be monitored.
When the system starts to work, it usually sets an internal (can be set at will, the system choose 10 minutes) to collect environment data, ARM works at low-power mode, when the timer starts up, the ARM microcontroller collects pressure and read environment temperature data and gas consistence data, then the collected data are compared with set threshold, if the data exceed the threshold, the monitoring system immediately send alarming signal, if the data are normal, the environment data will be sent into the monitoring center in the set time, and the communication module is charge of receiving normal data.
Taylor, “Design and validation of a power supplynoise reduction technique,” IEEE Trans.
The text message is sent to the data center of Mobile Corporation, the communication module is connected to the data center via computer serial interface.
If the pressure data is normal, the working status of the pipes can be monitored.
When the system starts to work, it usually sets an internal (can be set at will, the system choose 10 minutes) to collect environment data, ARM works at low-power mode, when the timer starts up, the ARM microcontroller collects pressure and read environment temperature data and gas consistence data, then the collected data are compared with set threshold, if the data exceed the threshold, the monitoring system immediately send alarming signal, if the data are normal, the environment data will be sent into the monitoring center in the set time, and the communication module is charge of receiving normal data.
Taylor, “Design and validation of a power supplynoise reduction technique,” IEEE Trans.
Online since: January 2017
Authors: Yun Bo Chen, Mo Chu, Min Luo, Ran Zhang, Meng Wang
The reduction of Mn4+ in MnO2 component in the following discharge process could provide additional capacity, thus enable this Li-rich cathode material to deliver a high reversible capacity.
At the first discharge, there is a reduction peak at ~3.4V, apparently ascribed to the reduction of Ni2+ and Co3+ ions.
Particularly, an additional oxidation peak located at about 2.8V corresponding with the XRD patterns, which is similar with the voltage of the characteristic reduction peak for Mn-based spinel materials[21].
The experimental datas are simulated by ZSimpWin software according to the equivalent circuit.
At the first discharge, there is a reduction peak at ~3.4V, apparently ascribed to the reduction of Ni2+ and Co3+ ions.
Particularly, an additional oxidation peak located at about 2.8V corresponding with the XRD patterns, which is similar with the voltage of the characteristic reduction peak for Mn-based spinel materials[21].
The experimental datas are simulated by ZSimpWin software according to the equivalent circuit.
Online since: December 2012
Authors: Shan Gao, Yi Zhu
Including emergency on-site data collection, emergency spatial data collection, emergency events process management, etc.
The key technique and innovation are solved by this system Facing the emergency multiple spatial data management.
Fig.7 Facing the emergency multiple spatial data management The distributed multi-agent server clusters technology.
Fig.9 The emergency services workflow technology for emergency events The multistage grid of data management and fast scheduling.
By using pyramid approach manage raster and image data, we establish the simplification segmentation, organization and management, Indexing and scheduling to manage the vector data.
The key technique and innovation are solved by this system Facing the emergency multiple spatial data management.
Fig.7 Facing the emergency multiple spatial data management The distributed multi-agent server clusters technology.
Fig.9 The emergency services workflow technology for emergency events The multistage grid of data management and fast scheduling.
By using pyramid approach manage raster and image data, we establish the simplification segmentation, organization and management, Indexing and scheduling to manage the vector data.
Online since: February 2011
Authors: Jian De Wu, De Gang Huang, Ting Feng, Yu Gang Fan
Local Least Square Support Vector Machine
(1)Basic Principle of LS-SVM
The essence of LSSVM is that it can describe the law of these data to fit a optimum curve for the issue of nonlinear regression.
This paper uses parameteras norm between history data and present predicted data, the norm as follow [11]: (7) is the ith data of history.
Afteris calculated, is ranked in the descending order and the high matching degree data are selected as local regression model database.
The experiment data of this paper is from this MUH
(3)Experimental Instructions ①Traditional LS-SVM: First 100 data are selected as training data, and second 100 data that are followed with the first 100 data are selected as predicted data. ②Local LS-SVM:First 100 data of the whole database are selected as the original training data, when prediction is carried out, then the most optimal samples are selected, and then next time is predicted.
This paper uses parameteras norm between history data and present predicted data, the norm as follow [11]: (7) is the ith data of history.
Afteris calculated, is ranked in the descending order and the high matching degree data are selected as local regression model database.
The experiment data of this paper is from this MUH
(3)Experimental Instructions ①Traditional LS-SVM: First 100 data are selected as training data, and second 100 data that are followed with the first 100 data are selected as predicted data. ②Local LS-SVM:First 100 data of the whole database are selected as the original training data, when prediction is carried out, then the most optimal samples are selected, and then next time is predicted.
Online since: March 2007
Authors: Dong Li Sun, Qing Wang, T. Wu, J. Lai
It must be pointed out that all data
were picked out beyond the range of the elasticity deformation of curves.
These normalized data were used to train and test the network.
Table 4 demonstrates the maximal relative errors of prediction data by ANN.
The network prediction for test data is plotted along with experiment values in Fig.3.
The neural network predictions are in good agreement with the experimental data.
These normalized data were used to train and test the network.
Table 4 demonstrates the maximal relative errors of prediction data by ANN.
The network prediction for test data is plotted along with experiment values in Fig.3.
The neural network predictions are in good agreement with the experimental data.
Online since: February 2011
Authors: Xian Min Wei
At this time, before the insert data, delete the original table in the existing index, and all the data storage and re-indexed.
The so-called non-standardized methods, is appropriate to reduce database paradigm in the database design, data redundancy and irregularity is in exchange for the reduction of connection to improve the access speed.
But the difficulty is the lack of a unified web-based data, fixed pattern, the data are often irregular and constantly changing.
Thus, XML data as a self-described semi-structured data as Web data management provides a new data model, if the XML tag data into a certain structure, for data retrieval, analysis, update and output can more easily managed in the system and under the more familiar environment, so we will be XML database technology in the field of data processing, through the XML data model and database model to store the mapping, extraction, synthesis and analysis of the contents of XML documents.
Support for XML, relational data and XML data stored in the same common database management system is a database development will be a major trend.
The so-called non-standardized methods, is appropriate to reduce database paradigm in the database design, data redundancy and irregularity is in exchange for the reduction of connection to improve the access speed.
But the difficulty is the lack of a unified web-based data, fixed pattern, the data are often irregular and constantly changing.
Thus, XML data as a self-described semi-structured data as Web data management provides a new data model, if the XML tag data into a certain structure, for data retrieval, analysis, update and output can more easily managed in the system and under the more familiar environment, so we will be XML database technology in the field of data processing, through the XML data model and database model to store the mapping, extraction, synthesis and analysis of the contents of XML documents.
Support for XML, relational data and XML data stored in the same common database management system is a database development will be a major trend.