Sort by:
Publication Type:
Open access:
Publication Date:
Periodicals:
Search results
Online since: February 2011
Authors: Ji Xiang Zhong
From the experiment of measuring data, the COP is between 0.18 to 0.59.
Controller Figure 3.Control System Hardware Components Figure 4.The circuit diagram of the SPCE061A Minimum system As shown in figure 3,The core of the Automotive air conditioning control system is a SPCE061A MCU chip, according to the data of setting temperature, control all aspects of automotive air conditioning system, so that can make the temperature in the car to the target temperature.
Sensors in the car measure the temperature in the car, then after A/D conversion, the data transfer to MCU, the MCU make the actuator work, to realize the change of environment inside.
This new kind of car air conditioning is Energy saving and emission reduction, low carbon but efficient.
Controller Figure 3.Control System Hardware Components Figure 4.The circuit diagram of the SPCE061A Minimum system As shown in figure 3,The core of the Automotive air conditioning control system is a SPCE061A MCU chip, according to the data of setting temperature, control all aspects of automotive air conditioning system, so that can make the temperature in the car to the target temperature.
Sensors in the car measure the temperature in the car, then after A/D conversion, the data transfer to MCU, the MCU make the actuator work, to realize the change of environment inside.
This new kind of car air conditioning is Energy saving and emission reduction, low carbon but efficient.
Online since: May 2013
Authors: Ying Mei Tu, Tun Hao Hsu
However, there is no any historical data for the cycle time information of new products.
Therefore, X-factor is applied to estimate the cycle time data.
It is a forecast data and can be regarded as a future performance index.
Yang: Cycle time reduction for semiconductor wafer fabrication facilities, Advanced Semiconductor Manufacturing Conference and Workshop, 1997.
Therefore, X-factor is applied to estimate the cycle time data.
It is a forecast data and can be regarded as a future performance index.
Yang: Cycle time reduction for semiconductor wafer fabrication facilities, Advanced Semiconductor Manufacturing Conference and Workshop, 1997.
Online since: July 2003
Authors: Stephen Roe, Ron Newport
Essential within the endeavour towards sustainable development are the requirements for energy
reduction in accordance with the Kyoto accord and the Rio Earth Summit of 1992 (Agenda 21),
WLCC and SLP protocols.
These input data are directly dependent upon the collection of accurate condition monitoring and diagnostic data, both within a condition-based management protocol and terotechnology evaluation protocol.
Consequently the data collected by condition monitoring personnel are becoming more crucial for accuracy and confidence, as they are influential in major building and construction initiatives.
These input data are directly dependent upon the collection of accurate condition monitoring and diagnostic data, both within a condition-based management protocol and terotechnology evaluation protocol.
Consequently the data collected by condition monitoring personnel are becoming more crucial for accuracy and confidence, as they are influential in major building and construction initiatives.
Online since: September 2013
Authors: Min Juan Zhong
An Effective XML Identifying Feedback Documents Method based on Two-Stage Ranking Model for Pseudo-Relevance Feedback
Zhong Minjuan1,2
1(School of Information Technology, Jiangxi University of Finance and Economics, Nanchang)
2(JiangXi Key Laboratory of Data and Knowledge Engineering, Jiangxi University of Finance and Economics, Nanchang)
Keywords: XML Documents, Pseudo-Relevance feedback, Two-Stage Ranking Model, Clustering
Abstract.
Therefore, to avoid the reduction of recall, we should select multiple candidate clusters instead of merely single one.
From the data of the table 1, it can be seen that the ranking model of clusters displays good performance and obtains the right candidate clusters.
From the data of the results, we can draw the following conclusion.
Therefore, to avoid the reduction of recall, we should select multiple candidate clusters instead of merely single one.
From the data of the table 1, it can be seen that the ranking model of clusters displays good performance and obtains the right candidate clusters.
From the data of the results, we can draw the following conclusion.
Online since: August 2014
Authors: Xing Qian Zhao, Gang Wang, Dian Long Yu
Considering the difference between the actual specimen parameters and the data from information, and the change generated by the specific manufacturing technology, the calculation values need to be adjusted.
Plug the data into the models, set correction coefficient γ=0.5, and get the core equivalent parameters as shown in Table 2.
Judging from the experiment data, bone makes the shear modulus significantly reduced.
Vibration Reduction Designing of Honeycomb Sandwich Plate Structures.
Plug the data into the models, set correction coefficient γ=0.5, and get the core equivalent parameters as shown in Table 2.
Judging from the experiment data, bone makes the shear modulus significantly reduced.
Vibration Reduction Designing of Honeycomb Sandwich Plate Structures.
Online since: January 2011
Authors: Hao Hao
(Chinese automotive technique research center statistics data) Under the situation of ‘ship rises with the tide’, automotive industry after market are welcoming a gold period of profession development, As a young profession, the automotive maintenance are quickly developing by 10% to 15% each year.
According to different level after-sale service network, it have direct impact to timely product exchange and repairing, customer complaint reduction and product defect finding by selecting the suitable location to set level 1 and level 2 service network and deploy stock of spare parts in certain period and amount [4]. 3) The collaborative reverse operation procedure with product exchanging flow time orientation.
The time information of returning flow, exchanging process, the receiving and issuing quantity of spare parts, inbound-outbound logistics from level 1after-sale service network to national after-sale service center will be sent in data by information sharing system and on spot kanban mechanism.
If lack of the right data transmission for reverse forecast, the automatic replenishment system’s seasonal dynamic safety inventory couldn’t be set, hence influence the pulling of kanban.
According to different level after-sale service network, it have direct impact to timely product exchange and repairing, customer complaint reduction and product defect finding by selecting the suitable location to set level 1 and level 2 service network and deploy stock of spare parts in certain period and amount [4]. 3) The collaborative reverse operation procedure with product exchanging flow time orientation.
The time information of returning flow, exchanging process, the receiving and issuing quantity of spare parts, inbound-outbound logistics from level 1after-sale service network to national after-sale service center will be sent in data by information sharing system and on spot kanban mechanism.
If lack of the right data transmission for reverse forecast, the automatic replenishment system’s seasonal dynamic safety inventory couldn’t be set, hence influence the pulling of kanban.
Online since: October 2011
Authors: Chao Dai, Ji Hui Liang
Table 1 Experiment sample automobile parameters
Engine capacity (ml)
4752
Main speed reduction ratio of rear axle
5.714
Engine type
Direct injection 4-cylinder
Derailleur speed ratio
6.314,3.913,2.262,1.393,1,0.788 Reverse gear 5.874
Rated engine power / rotate speed (kW/r/min)
115/2600
Engine max torque / rotate speed (Nm/r/min)
450/1400-1600
Idle speed rotate speed (r/min)
760±25
Emission level
European III
Curb weight (kg)
4330
Max. total weight (kg)
8020
Max. design speed (km/h)
100
Tyre pressure (Kpa): front/back
630/630
Axle weight of the curb weight (kg)
2210/2120
Max. axle weight (kg)
3105/4915
Table 2 Test point position table
Test point 1
Above the left suspension of powertrain front suspension point (automobile frame)
Test point 14
Automobile frame point above right rear axle
Test point 2
Below the left suspension of the powertrain front suspension point (engine)
Test point 15
Above the suspension of left-rear suspension point of driver's cab (body bracket)
Test point 3
When entering the test road section, the test instruments shall be started to test the acceleration time course of various positions and test the time that the automobile passes through the road section for average speed computing. 1.4 Experiment Data Cab suspension shock absorption attenuation test data.
16% Z 59%/40% 25%/28% 23%/25% 21%/29% 23%/12% 26%/19% Table 4 Turn-over device right suspension shock attenuation rate under various working conditions (no-load / full-load) Idle speed 40km/h 50km/h 60km/h 70km/h 80km/h X 36%/26% 21%/12% 11%/17% 22%/24% 5%/32% 24%/25% Y 0%/33% 2%/7% 19%/18% 28%/10% 11%/-1% 18%/19% Z 34%/13% 28%/53% 34%/36% 48%/39% 35%/34% 17%/30% Table 5 Cab left-rear suspension shock attenuation rate under various working conditions (no-load / full-load) Idle speed 40km/h 50km/h 60km/h 70km/h 80km/h X 75%/63% 66%/54% 61%/45% 89%/76% 60%/32% 81%/71% Y 65%/74% 76%/76% 79%/77% 85%/79% 78%/79% 79%/82% Z 46%/43% 31%/24% 28%/23% 44%/36% 25%/27% 3%/44% Table 6 Cab right-rear suspension shock attenuation rate under various working conditions (no-load / full-load) Idle speed 40km/h 50km/h 60km/h 70km/h 80km/h X 69%/-46% 51%/41% 53%/40% 79%/44% 56%/36% 57%/17% Y 61%/37% 62%/62% 72%/72% 80%/81% 71%/74% 73%/79% Z 47%/-16% 19%/-9% 38%/17% 43%/35% 34%/36% 29%/30% 2 Data
When entering the test road section, the test instruments shall be started to test the acceleration time course of various positions and test the time that the automobile passes through the road section for average speed computing. 1.4 Experiment Data Cab suspension shock absorption attenuation test data.
16% Z 59%/40% 25%/28% 23%/25% 21%/29% 23%/12% 26%/19% Table 4 Turn-over device right suspension shock attenuation rate under various working conditions (no-load / full-load) Idle speed 40km/h 50km/h 60km/h 70km/h 80km/h X 36%/26% 21%/12% 11%/17% 22%/24% 5%/32% 24%/25% Y 0%/33% 2%/7% 19%/18% 28%/10% 11%/-1% 18%/19% Z 34%/13% 28%/53% 34%/36% 48%/39% 35%/34% 17%/30% Table 5 Cab left-rear suspension shock attenuation rate under various working conditions (no-load / full-load) Idle speed 40km/h 50km/h 60km/h 70km/h 80km/h X 75%/63% 66%/54% 61%/45% 89%/76% 60%/32% 81%/71% Y 65%/74% 76%/76% 79%/77% 85%/79% 78%/79% 79%/82% Z 46%/43% 31%/24% 28%/23% 44%/36% 25%/27% 3%/44% Table 6 Cab right-rear suspension shock attenuation rate under various working conditions (no-load / full-load) Idle speed 40km/h 50km/h 60km/h 70km/h 80km/h X 69%/-46% 51%/41% 53%/40% 79%/44% 56%/36% 57%/17% Y 61%/37% 62%/62% 72%/72% 80%/81% 71%/74% 73%/79% Z 47%/-16% 19%/-9% 38%/17% 43%/35% 34%/36% 29%/30% 2 Data
Online since: February 2015
Authors: Ji Cai Hu, Le Gao
It can only provide simple test data at high cost.
Results and analysis Numerical simulation analysis of aerodynamic characteristics under specific conditions This paper selected aerodynamic coefficients related to physical test of wind tunnel coefficient as the physical test basis from aerodynamic test data of Zhongshankou Galloping Management Project recorded in Conductor Galloping (Professor Guo Yinglong, Wuhan University) [1].
The maximum reduction of is observed when α=90°.
Conclusions Based on Fluent software and associated test data, this paper analyzes effect conductor diameter on aerodynamic coefficients of crescent-type iced conductor
Results and analysis Numerical simulation analysis of aerodynamic characteristics under specific conditions This paper selected aerodynamic coefficients related to physical test of wind tunnel coefficient as the physical test basis from aerodynamic test data of Zhongshankou Galloping Management Project recorded in Conductor Galloping (Professor Guo Yinglong, Wuhan University) [1].
The maximum reduction of is observed when α=90°.
Conclusions Based on Fluent software and associated test data, this paper analyzes effect conductor diameter on aerodynamic coefficients of crescent-type iced conductor
Online since: December 2010
Authors: Hong Yi Yang, Xin Zhuang, Li Li Li, Zhi Wei Qin
NIS-Elements software, produced by Nikon instruments, Inc, was one of the best ones for imaging and data gathering process.
Reductions in fruit yield and runner production in single infections can be as high as 30%.
The system has to be reliable, repeatable, and sensitive to measure and analyze the data.
Then, the sections were ready for data recording, which could be viewed under bright field microscopy.
Reductions in fruit yield and runner production in single infections can be as high as 30%.
The system has to be reliable, repeatable, and sensitive to measure and analyze the data.
Then, the sections were ready for data recording, which could be viewed under bright field microscopy.
Online since: January 2013
Authors: Ching Song Jwo, Hung Pin Cho, Chao Chun Chien, Zi Jie Chien
Analysis of the test results and the questionnaire survey data found that the most comfortable rotation speed for human body was about 57.5 rpm.
Step 5: Analyze and calculate all the data.
Step 7: Use the data results of the first 20 minutes to analyze the relationship between the consumed calories and the kinetic energy imported into the refrigeration system.
In response to the environmental trend, recovery of the kinetic energy generated during exercise can contribute to energy saving and carbon reduction, while encouraging exercise.
Step 5: Analyze and calculate all the data.
Step 7: Use the data results of the first 20 minutes to analyze the relationship between the consumed calories and the kinetic energy imported into the refrigeration system.
In response to the environmental trend, recovery of the kinetic energy generated during exercise can contribute to energy saving and carbon reduction, while encouraging exercise.