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Online since: June 2014
Authors: Yang Du, Guo Lin Xu
Therefore, the data on the transverse rolling is rare too.
For The textured samples, the {110}, {200}, {211} of pole figure data are measured by the X- ray diffraction of Dmax-IIIA, the sectional view of Φ = 45º could be ploted by the Series expansion method of ODF; For the metallographic sample, the Optical microscope of OLYMPUS-PMG3 is used to watch the recrystallized structure. 3.
Fig .4 is constant Φ (45°) ODF sections showing Ti+P-IF steel in cross cold rolled reductions.
Fig .4 Constant Φ (45°) ODF sections showing Ti+P-IF steel in cross cold rolled reductions Fig.5 Constant Φ(45°)ODF sections showing annealed samples of Ti+P-IF steel in cross cold rolled reductions Constant Φ(45°)ODF sections showing annealed samples of Ti+P-IF steel in cross cold rolled reductions is shown in Fig .5, it can be seen from the figure, when the reduction rate is 30%, the peak is formed in texture of {112} < 110 >, and there is a weak gauss texture.
The intensity of {223} < 110 > texture comes down when the reduction rate is 70%.
For The textured samples, the {110}, {200}, {211} of pole figure data are measured by the X- ray diffraction of Dmax-IIIA, the sectional view of Φ = 45º could be ploted by the Series expansion method of ODF; For the metallographic sample, the Optical microscope of OLYMPUS-PMG3 is used to watch the recrystallized structure. 3.
Fig .4 is constant Φ (45°) ODF sections showing Ti+P-IF steel in cross cold rolled reductions.
Fig .4 Constant Φ (45°) ODF sections showing Ti+P-IF steel in cross cold rolled reductions Fig.5 Constant Φ(45°)ODF sections showing annealed samples of Ti+P-IF steel in cross cold rolled reductions Constant Φ(45°)ODF sections showing annealed samples of Ti+P-IF steel in cross cold rolled reductions is shown in Fig .5, it can be seen from the figure, when the reduction rate is 30%, the peak is formed in texture of {112} < 110 >, and there is a weak gauss texture.
The intensity of {223} < 110 > texture comes down when the reduction rate is 70%.
Online since: July 2014
Authors: Ri Sheng Huang
It made the manifold learning algorithms that aims at seeking inner structure information in high dimensional data can be used in nonlinear dimensionality reduction for speech feature data, such as lower dimensional speech for visualization [2] and speech recognition [3].
data points equal to .
Step 2: partition training sample data: 50% for training, training data equals to ; 50% for testing, test data equals to .
Experiment: Don’t perform any dimensionality reduction on the extracted original 48D speech feature data, and does the emotion recognition experiment directly.
Dimensionality reduction for visualization of normal and pathological speech data.
data points equal to .
Step 2: partition training sample data: 50% for training, training data equals to ; 50% for testing, test data equals to .
Experiment: Don’t perform any dimensionality reduction on the extracted original 48D speech feature data, and does the emotion recognition experiment directly.
Dimensionality reduction for visualization of normal and pathological speech data.
Online since: August 2013
Authors: Yu He, Yuan Wang, Bei Bei Yan, Meng Han
GHG reduction of Landfill E.
/MW·h, based on the data of power grid in North China.
Referring to the statistical data of a MSW incineration power plant in Shanghai[5], power generation of per ton MSW incineration is 205 kW·h.
Based on the data of Shuangkou MSW landfill in Tianjin [6], the collection rate of landfill gas generated by MSW landfill is 45-60% and the average rate is 55.5% during 2008-2014.
/tMSW] Total GHG reduction [MT] GHG reduction cost [CNY/ tCO2eq.]
/MW·h, based on the data of power grid in North China.
Referring to the statistical data of a MSW incineration power plant in Shanghai[5], power generation of per ton MSW incineration is 205 kW·h.
Based on the data of Shuangkou MSW landfill in Tianjin [6], the collection rate of landfill gas generated by MSW landfill is 45-60% and the average rate is 55.5% during 2008-2014.
/tMSW] Total GHG reduction [MT] GHG reduction cost [CNY/ tCO2eq.]
Online since: February 2013
Authors: Laszlo Czap, Judit Pinter
Traditional noise reduction procedures (e.g.
Traditional speech recognition systems use a single microphone to collect the speech data to be analyzed.
However, when the environment includes noise, interfering signals, or when a different microphone is used to acquire data than was used to train the system, the system's performance invariably degrades, usually drastically.
The pattern classifier was trained using data corrupted by Gaussian noise.
Noise Reduction With Multi-microphone Recording Multi-microphone schemes use the principles developed for one microphone in various modifications and represent robust techniques for noise reduction.
Traditional speech recognition systems use a single microphone to collect the speech data to be analyzed.
However, when the environment includes noise, interfering signals, or when a different microphone is used to acquire data than was used to train the system, the system's performance invariably degrades, usually drastically.
The pattern classifier was trained using data corrupted by Gaussian noise.
Noise Reduction With Multi-microphone Recording Multi-microphone schemes use the principles developed for one microphone in various modifications and represent robust techniques for noise reduction.
Online since: December 2011
Authors: H.A. Hamada, Usama S. Mohammed, Moon Kyou Song
OFDM can provide large data rates with sufficient robustness to radio channel impairments.
The interleaver rearranges input data such that consecutive data are spaced apart.
This interleaver produces K permuted frames of the input data sequence.
Data will be interleaving and then measure the PAPR and if it is large than the PAPRo (threshold value) the data will bass throw multi type of interleaving and select the interleaving block which gave minimum PAPR [7].
We used image signal as data source, proposed technique for PAPR reduction improvement the PSNR for the received image by 4.86 dB.
The interleaver rearranges input data such that consecutive data are spaced apart.
This interleaver produces K permuted frames of the input data sequence.
Data will be interleaving and then measure the PAPR and if it is large than the PAPRo (threshold value) the data will bass throw multi type of interleaving and select the interleaving block which gave minimum PAPR [7].
We used image signal as data source, proposed technique for PAPR reduction improvement the PSNR for the received image by 4.86 dB.
Online since: September 2013
Authors: Jia Yin Sui, Ying Nan Wang, Zhe Ren
Compared with the traditional management information system (MIS), GIS has spatial data and attribute data.
MIS only has attribute data.
The data is graphic, stored as files.
GIS is the data source of the spatial load prediction for data collection, processing and results display.
It exchanges data with distribution automation system to achieve real-time data information.
MIS only has attribute data.
The data is graphic, stored as files.
GIS is the data source of the spatial load prediction for data collection, processing and results display.
It exchanges data with distribution automation system to achieve real-time data information.
Online since: July 2013
Authors: Igor Mazur, Tanya I. Cherkashina, Sergey A. Aksenov
Soft Reduction of a Cast Ingot on the Incomplete Crystallization Stage
Tatyana I.
Numerical and physical simulation on model samples can provide data for various aspects of metal forming, without resorting to time-consuming and costly full-scale tests.
It also provides a novel method for studying the process of soft reduction.
In the given geometry and pressure of 1 MPa, the reduction of the inner zone is 30% greater than the reduction of the solid part.
In the given geometry, the reduction of inner zone is 30% greater than the reduction of the solid part.
Numerical and physical simulation on model samples can provide data for various aspects of metal forming, without resorting to time-consuming and costly full-scale tests.
It also provides a novel method for studying the process of soft reduction.
In the given geometry and pressure of 1 MPa, the reduction of the inner zone is 30% greater than the reduction of the solid part.
In the given geometry, the reduction of inner zone is 30% greater than the reduction of the solid part.
Online since: June 2007
Authors: So Yeon Lee, Yong Kul Lee, S.Ted Oyama, Seok Hee Lee, Hee Chul Woo
Reduction
condition : 99.9 % H2 flow 100 mL/min, heating rate 5 °C/min.
Reduction condition : 99.9 % H2 flow 100 mL/min, heating rate 5 °C/min.
The reduction temperature of silica-supported oxidic precursors for NiMoP formation was a range of 530-590 oC.
However, from our previous data the XRD peak corresponding to NiMoP was not detected.
The formation of NiMoP phase on silica is particularly promoted at a below 5 oC/min of reduction rate.
Reduction condition : 99.9 % H2 flow 100 mL/min, heating rate 5 °C/min.
The reduction temperature of silica-supported oxidic precursors for NiMoP formation was a range of 530-590 oC.
However, from our previous data the XRD peak corresponding to NiMoP was not detected.
The formation of NiMoP phase on silica is particularly promoted at a below 5 oC/min of reduction rate.
Online since: June 2014
Authors: Wen Zhang, Juan Wu
The UAV remote sensing is an important way of aerial remote sensing, and increasingly become an important means for spatial data acquisition, which has the advantages of long life time, image real-time transmission, high-risk area detection, low cost, flexibility, is a powerful supplement satellite and aerial remote sensing."
Biaxial yuntai fixed wing on the other hand can reduce the UAV in the process of flight of camera shake caused by external factors, on the other hand can improve precision of the aerial survey and reduce the deviation of aerial target and image plane center, ensure the quality of data.
Application of UAV in Disaster Prevention and Reduction [2] Southern Snow and Ice Storms In early 2008, Guangxi suffered a rare large snow and ice storms; we participate in the development of UAV over steep mountains and vast number of open circuit, power off area, to get a lot of intuitive, clear picture image data and for the first for a time sent to the Ministry of Civil Affairs national Disaster Reduction Center.
Ziyuan County mountainous aerial photo “512” Wenchuan Earthquake May 12, 2008, the 8.0-magnitude Wenchuan earthquake, commissioned by the National Disaster Reduction Center, Guilin UAV twice to Sichuan, Gansu, Shaanxi and other disaster-hit aerial perform the task, and successfully completed the exploration of the disaster, the first time via satellite to the national Disaster Reduction Center pictures and image data is returned, during the flight control team to overcome the aftershocks, landslides, mudslides, heavy rain, wind and other harsh environments, rough day and night, the shuttle in the affected towns and between the Grand Canyon, successful completion of the flight control task 13 vehicles, access to more than 1,500 high-resolution photos and 60 disaster-minute video for the Ministry of Civil Affairs disaster assessment team of experts to provide a reliable technical data, has been highly praised relief headquarters.
Through a wide range of flight speed detection, the first time to master the required survey information, and real-time returns investigation data, and provide effective information guarantee for the monitoring center.
Biaxial yuntai fixed wing on the other hand can reduce the UAV in the process of flight of camera shake caused by external factors, on the other hand can improve precision of the aerial survey and reduce the deviation of aerial target and image plane center, ensure the quality of data.
Application of UAV in Disaster Prevention and Reduction [2] Southern Snow and Ice Storms In early 2008, Guangxi suffered a rare large snow and ice storms; we participate in the development of UAV over steep mountains and vast number of open circuit, power off area, to get a lot of intuitive, clear picture image data and for the first for a time sent to the Ministry of Civil Affairs national Disaster Reduction Center.
Ziyuan County mountainous aerial photo “512” Wenchuan Earthquake May 12, 2008, the 8.0-magnitude Wenchuan earthquake, commissioned by the National Disaster Reduction Center, Guilin UAV twice to Sichuan, Gansu, Shaanxi and other disaster-hit aerial perform the task, and successfully completed the exploration of the disaster, the first time via satellite to the national Disaster Reduction Center pictures and image data is returned, during the flight control team to overcome the aftershocks, landslides, mudslides, heavy rain, wind and other harsh environments, rough day and night, the shuttle in the affected towns and between the Grand Canyon, successful completion of the flight control task 13 vehicles, access to more than 1,500 high-resolution photos and 60 disaster-minute video for the Ministry of Civil Affairs disaster assessment team of experts to provide a reliable technical data, has been highly praised relief headquarters.
Through a wide range of flight speed detection, the first time to master the required survey information, and real-time returns investigation data, and provide effective information guarantee for the monitoring center.
Online since: January 2012
Authors: Zhen Ya Duan, Ying Ying Dong, Fu Lin Zheng, Jun Mei Zhang
The comparison results found good agreement between the numerical model and wind tunnel experimental data with an error of 7.8% in the wind reduction ratio, indicating the present numerical model can be used to undertake study on butterfly and non-planar porous fences.
The rationality and the validity of the numerical method developed in the present work have been evaluated by comparing the numerical results with the experimental data.
The validity of the present numerical method has been evaluated by comparing the numerical results with the experimental data which contain the mean velocity profiles behind the porous fence and the wind reduction ratio.
Fig.5 Comparison of non-dimensional mean velocity profiles at Z/H = 0.8 and 1.2 Fig.5 shows that numerical values are higher than experimental data in the downstream region.
As a result, the numerical predictions show good agreements with the experimental data.
The rationality and the validity of the numerical method developed in the present work have been evaluated by comparing the numerical results with the experimental data.
The validity of the present numerical method has been evaluated by comparing the numerical results with the experimental data which contain the mean velocity profiles behind the porous fence and the wind reduction ratio.
Fig.5 Comparison of non-dimensional mean velocity profiles at Z/H = 0.8 and 1.2 Fig.5 shows that numerical values are higher than experimental data in the downstream region.
As a result, the numerical predictions show good agreements with the experimental data.