Search

In order to recycle part of the brake energy in the driving hub motor of the 8X8 electric vehicles. And the energy utilization rate of electric drive vehicles should be increased, the wear of mechanical brake system should be reduced. A fuzzy control method is established for mechanical and electrical joint brake. It can be used to establish a principle of the distribution of brake. Through the simulation on MATLAB platform, it shows that this control method is efficient in improvement of brake ability, distribution of brake distribution, and the energy recycling.

A new kind of control method named "G-Vectoring control" is used in vehicle steering stability control, which uses the lateral acceleration to control the longitudinal acceleration, and improves the steering stability by redistributing the driving force. The motor and its control system as well as the vehicle system control are modeled by Matlab, the vehicle dynamics model is designed by adams. After the co-simulation of snakelike tests, the results shows that the sideslip angle is well controlled by G-Vectoring control.

Seasonal species composition, abundance variations of phytoplankton were investigated during six cruises conducted in Yangmeikeng artificial reef area in Daya Bay, between April 1997 and May 1999. The results showed that there were 181 species of phytoplankton were identified and most belong to diatom species. The seasonal change of species and dominant species were obvious. Phytoplankton abundance was on the trend of rising with diatom dominated which showed that the artificial reef putted in this area played a role in promoting the primary productivity. TheK-dominance curve suggested that the community diversity of the phytoplankton decreased from May 2008, August 2008, April 2007, May 2009, March 2008 to November 2008, and the range of seasonal variations were obvious, which showed that the phytoplankton community structure was unstable. The canonical correspondence analysis (CCA) showed that the abundance and spatial distribution of phytoplankton were affected greatly by the water temperature, salinity, transparency, suspended matter and dissolved oxygen.

In allusion to the problem of flood disaster classification, this paper proposes a chaotic differential evolution algorithm for to calculate the best projection direction for a projection pursuit model. By using polynomial function and penalty function, the objective function can be solved more perfectly. The new algorithm has been examined and tested with a real flood disaster.

We propose a novel density estimation method using both the k-nearest neighbor (KNN) graph and the potential field of the data points to capture the local and global data distribution information respectively. The clustering is performed based on the computed density values. A forest of trees is built using each data point as the tree node. And the clusters are formed according to the trees in the forest. The new clustering method is evaluated by comparing with three popular clustering methods, K-means++, Mean Shift and DBSCAN. Experiments on two synthetic data sets and one real data set show that our approach can effectively improve the clustering results.

Based on the application of the CSI non-contact full field strains and 3D displacements gauge made in USA in the laboratory for wind engineering of Southwest Jiaotong University, the theory of DIC, a non-contact deformation measurement method, is studied in the paper. The reliability of the method is testified by contrast tests. The paper also offers some useful advice byanalysing the factors that affect the measurement accuracy.

This article mainly analyzes that some steels select mold electromagnetic stirring technique in billet continuous casting production, improve the slab quality effectively in all directions,analyzes how to refine crystal axis with electromagnetic stirring technology, improve the rate of equiaxed crystal, make less bubbles on the slab surface and subsurface, reduce the non-metallic inclusions ,reduce the crack on the surface of the production, reduce the central segregation and make the solidified shell uniform, and etc in detail according to the relevant data. It also put forward some corresponding solutions in accordance with the problems in the production of electromagnetic stirring with billet caster mold in this factory.

This paper is mainly about the high power LED temperature characteristics. With the integrating sphere, we conduct an experiment to observe and analysis the relationships of temperature and color coordinates, peak wavelength, color temperature, forward voltage, peak bandwidth, color purity, electric power. Finally we get that the temperature is the main factor to affect the color performance of white LED photoelectric, with the white LED apparent temperature rise, forward voltage, the color coordinates and color purity tends to go down. On the contrary with increasing junction temperature, the half-value wavelength and color temperature are increased accordingly.

Failure mode effects and criticality analysis (FMECA) is a widely useful design tool for enhancing product quality, safety and reliability. Most of the current FMECA procedure is in accordance with MIL-STD-1629A by which to conduct FMECA and criticality analysis, which is able to prioritize the failure modes and undertake limited corrective actions toward eliminating product risks. However, the criticality analysis calculation and its interpretation for a failure mode have some mathematical difficulties and erroneous omissions. To resolve these problems, this study proposes a new amalgamated criticality analysis methodology, which is knowledge-based to obtain the four different factor criteria and then using the maximal entropy ordered weighted geometric averaging (ME-OWGA) approach to compute the criticality numbers for a system. This study evaluates criticality analysis in the context of a communication system; the experimental results demonstrate that the proposed method is both accurate and provides discriminating analysis information that helps decision making in product design processes.

At present, we still can see many beautiful buildings combining Chinese and western architecture culture in the hometown of overseas Chinese. Through the overseas Chinese local-style dwelling houses buildings are researched and analyzed, we can realize the collision and blend between two kind of building culture, and to realize the value of these buildings. In this, we take Kaiping in Guangdong one of home town of overseas Chinese as an example to do some research on the overseas Chinese local-style dwelling houses building, and to expatiate how to deal with the challenge better in today's diversification architectural culture world.

To avoid the difficulty of collecting accurate traffic flow data, this paper proposes a novel approach for congestion features extraction from traffic video. The approach firstly segments the traffic video into shots and the shot motion content feature is extracted. Then, we extract the key frames applying an improved global k-means clustering algorithm. The last congestion feature of the global optical flow energy is computed based on the key frames. The numerical experiments on traffic surveillance video show the validity and high accuracy for traffic congestion detection using the propose method in this paper

Recirculation is considered as an dual effective way of processing the leachate and accelerating the stabilization of landfill in many treatment because of less land occupation, low investment and simple operation. Previous researches shows that recirculation can improve microenviorment of microbial anaerobic digestion by increasing the moisture content of landfill. The mathematical model of moisture migration in the landfill was established with Multi-physics finite element analysis software in this paper. The simulation result showed that 1) moisture content would decrease to 29% with no leachate recirculation condition 2) hydraulic loads and types of recirculation both had influences on water distribution in landfill sites with leachate recirculation.

The basic idea of H2-C mixture reduction reflexes using hydrogen as main reductor and carbon as main heat generator in iron bath smelt reduction reactors on purpose to cut down total energy consumption and CO2 emission. The author applied the methods of modeling for separating regions and [1]complex integration to research the kinetics behavior of the reactor. Changes of temperature and concentration field in each region were calculated after modeling from theories for solid-liquid, solid-gas and gas-liquid reactions combining theories of shrinking core, combustion and deoxidization etc. Besides some boundary- and initial conditions were got from inlet variables, other conditions included substance and energy exchanges on boundaries between different reaction regions were determined from the translation of all boundary coordination. After dispersion treatment with Control-Volume-Method, the whole model was programmed into special software for digital simulation. Corresponding author: HONG Xin, Shanghai University, Phone/Fax: 021-56331176, E-mail: xhong@online.sh.cn

Lifelong learning is a term recognized that learning is not confined to childhood or the classroom, but takes place throughout life and in a range of situations. Compare to the continuous growth of the e-learning market for the lifelong learning of adults, there are relatively few studies are available on the learning behaviors of these learners on the e-learning website. In this study, TAM and TPB theory were integrated and employed to examine the relationships between courses or systems and perception constructs. The degree of learners’ perceptions of interaction with others don’t influence course flexibility, ease of use, and behavioral control learners’ perceived. Different gender and career of learners don’t influence all constructs. Younger learners perceived that they can interact with teachers and other learners as well as learn more on the e-learning website. The e-learning experiences of learners are significantly associated with system functionality, system response, and perceived behavioral control.

Aerodynamic stability is an issue in the wind-resistant design of long-span bridges, flutter is an aerodynamic instability phenomenon that occurs due to interactions between wind and structural motion. The Xihoumen Bridge is the second long suspension bridge in the world, the aeroelastic performance of the Xihoumen Bridge is investigated by wind tunnel testing and an analytical approach. In the case, wind-tunnel testing was performed using an aeroelastic full model of the bridge, and two section models of the bridge. Flutter derivatives of bridge decks are routinely extracted from wind tunnel section model experiments for the assessment of performance against wind loading, the analytical method used here were a two-dimensional flutter analysis and a multi-mode analysis in the frequency domain. The analytical results were compared with the wind tunnel test data; it showed that the flutter analysis results were good agreement with the wind-tunnel test data.

The study investigates the usage of knowledge management systems in Taiwan. The usage acts as a cooperative learning of knowledge-sharing and knowledge-recycling. We chose 127 employees of IT department of small and medium enterprises in Taiwan, to investigate what factors would affect their cooperative learning in the context of using knowledge management systems, and to investigate the outcome of cooperative learning. The result shows all hypotheses are significant except people-related autonomy and process-related autonomy.

Patents are distributed through hundreds of collections, divided up by general area. A hybrid classifier system thus can be a powerful solution to difficult patent classification problems. In this study, we present a system for classifying patent documents on a hybrid approach by combining multiple text classifiers (Naïve Bayes, KNN and Rocchio). Decisions made by various text classifiers can be combined by voting and sampling mechanisms in the system. A prototype system was developed and tested in a real world task. The results have indicated that the accuracy of the hybrid approach is more stable than that of any of the three individual text classifiers.