Applied Mechanics and Materials Vols. 490-491

Abstract: It is a significant issue to accurately and quickly extract brain evoked potentials under strong noise in the research of brain-computer interface technology. Considering the non-stationary and nonlinearity of the electroencephalogram (EEG) signal, the method of wavelet transform is adopted to extract P300 feature from visual, auditory and visual-auditory evoked EEG signal. Firstly, the imperative pretreatment to EEG acquisition signals was performed. Secondly, respectivly obtained approximate and detail coefficients of each layer, by decomposing the pretreated signals for five layers using wavelet transform. Finally, the approximate coefficients of the fifth layer were reconstructed to extract P300 feature. The results have shown that the method can effectively extract the P300 feature under the different visual-auditory stimulation modes and lay a foundation for processing visual-auditory evoked EEG signals under the different mental tasks.

Abstract: The interaction between pile and soil can not be ignored in the seismic analysis of long-span bridges. Earthquake action in the form of lateral load apply on the pile through the soil, the analysis of pile under lateral load is very important in aseismatic analysis of bridge. Analysis of the horizontal load pile-soil interaction by using finite element analysis software ADINA, establishing the three-dimensional contact model of pile-soil interaction and the analysis model by using p-y curve model of soil-pile interaction respectively. Comparing the displacement of the top of pile with the actual measurements to verify the numerical method is right. It shows that the feasibility of using ADINA for pile-soil interaction analysis.

Abstract: In order to analyze and enhance the performance of an air-conditioning system, it was necessary to collect and control the operation parameters in the system. This paper put forward to combine the technique of visual instrument and the characteristic of air-conditioning system, using National Instruments product LabVIEW, to develop an effective data acquisition and control system. This system can realize the real-time data acquisition of temperature, air speed, humidity, CO₂ concentration and pressure as well as data transmission, processing, and display, in addition to provide users with historic data inquire. It saved a lot of labor power and material resources so that it made measurement and control more convenient and fast.

Abstract: This paper studied the multi-dimensional model and designed a 110 incidents data warehouse application system based on above mentioned model and Oracle database for further 110 incidents data analysis and mining. It provides a more flexible and efficient statistical analysis environment for decision-makers with timely and reliable reports. Firstly, we studied multi-dimensional model used to construct the 110 incidents data warehouse, and then detailed the design of fact table and dimension tables in star schema. Finally, we implemented the 110 incidents data warehouse analysis system which included the processing of slowly changing dimensions, data extraction, transformation, loading process and performance analysis.

Abstract: This article proposes the necessity and feasibility of the use of Data Mining and Knowledge Discovery in CBR reasoning. This paper focuses on the method of empowering feature items based on least squares method parameter identification, and achieve the method of Similarity case retrieval on this basis, the object is the typical case database of railway rescue. The simulation results show that: the least square method can effectively make estimation and identification of the feature parameters, and can continuously correct on-line. High accuracy and fast convergence characteristics of the assigned parameters show that the algorithm has a certain application value.

Abstract: Research in the field of unmanned road vehicles, especially autonomous vehicles, has been increasing over the last decades. However, fully autonomous road vehicles are still far from being a reality, particularly in urban areas due to the fact that the machine is still not fully capable of correctly interpreting its environment. Therefore, teleoperated road vehicles present a transitional solution, where a human driver is brought back into the control loop, but without having to be physically present in the vehicle. The information between the vehicle and operator is transmitted through mobile networks. The connection cannot be guaranteed at all times and it cannot be predicted when a connection loss is going to happen. Therefore, an appropriate safety concept for a connection loss is required. This paper presents the safety concept named Free Corridor' as a solution to the problem. Here, the human decides which path the vehicle would follow in the case of a connection loss, thus avoiding the decision-making problem of autonomous vehicles. This paper shows the implementation of the concept Free Corridor and shows that it is a suitable concept for teleoperated road vehicles.

Abstract: Network Coding (NC) is a promising technique that can maximize the network throughput. Multiple-Input-Multiple-Output (MIMO) detection technique is always combined with NC because they are both based on a similar system description. Two-way relay channel (TWRC) is the most common scene for the research on NC. However, TWRC is not a general case since it requires both users have information to exchange simultaneously. In this paper, a more general system model which adds a destination node is proposed. Based on this scene, for symmetrical and asymmetrical modulation schemes, we maximize the minimum Euclidean distance of the superposed constellation. The destination node never needs to have a packet exchange with the relay. Excellent performance has been proved by the theory analysis and simulation results.

Abstract: Based on the discourse of Hailar - Tamsag Basin description of hydrocarbon accumulation period and the distribution of hydrocarbon accumulation controlling factors, the paper pointed out Hailar - Tamsag basin specific landforms, which has significance to the study of ocean basins hydrocarbon migration mechanisms.

Abstract: Formation pressure Changes is the main reason for casing damage. In order to clearly know formation pressure,taking Sabei area of Daqing oilfield for example,On the basis of researching the relation between Formation pressure and logging data,By studying the relation between test data of ninety-three small stratum pressure and well-logging data with logging unit of water-out interval logging series of nine RFT test well, with statistical regression we come into being a theory model making use of water-flooded zone log reading to calculate formation pressure quantificationally .To improve the calculation accuracy of the formation pressure using logging data.

Abstract: Pose estimation of multi-camera rig which has not enough overlapping field of views for the stereo, is generally computationally expensive due to the offset of camera center and the bundle adjustment algorithm. We proposed a divide and conquer approach, which reduces the trinocular visual odometry problem to five monocular visual odometry problems, one for each individual camera sequence and two more using features matched temporally from consecutive images from the center to the left and right cameras, respectively. While this approach provides high accuracy over long distances in outdoor environment without requiring any additional sensors, it is computationally expensive, preventing real-time operation. In this paper, we evaluate trading off image resolution and frame rate to speed up computation with accuracy. Results show that scaling images down to a quarter of Full HD resolution can speed up computation by two orders of magnitude, while still providing acceptable accuracy, whereas dropping frames quickly deteriorates performance.