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In order to achieve the lateral control of the intelligent vehicle, use the bi-cognitive model based on cloud model and cloud reasoning, solve the decision problem of the qualitative and quantitative of the lateral control of the intelligent vehicle. Obtaining a number of experiment data by driving a vehicle, classify the data according to the concept of data and fix the input and output variables of the cloud controller, design the control rules of the cloud controller of intelligent vehicle, and clouded and fix the parameter of cloud controller: expectation, entropy and hyper entropy. In order to verify the effectiveness of the cloud controller, joint simulation platform based on Matlab/Simulink/CarSim is established. Experimental analysis shows that: driver's lateral controller based on cloud model is able to achieve tracking of the desired angle, and achieve good control effect, it also verifies that a series of mental activities such as feeling, cognition, calculation, decision and so on are fuzzy and uncertain.

Traffic light detection and recognition is essential for autonomous driving in urban environments. A camera based algorithm for real-time robust traffic light detection and recognition was proposed, and especially designed for autonomous vehicles. Although the current reliable traffic light recognition algorithms operate well under way, most of them are mainly designed for detection at a fixed position and the effect on autonomous vehicles under real-world conditions is still limited. Some methods achieve high accuracy on autonomous vehicle, but they can't work normally without the aid of high-precision priori map. The authors presented a camera-based algorithm for the problem. The image processing flow can be divided into three steps, including pre-processing, detection and recognition. Firstly, red-green-blue (RGB) color space is converted to hue-saturation-value (HSV) as main content of pre-processing. In detection step, the transcendental color threshold method is used for initial filterings, meanwhile, the prior knowledge is performed to scan the scene in order to quickly establish candidate regions. For recognition, this article use histogram of oriented gradients (HOG) features and support vector machine (SVM) as well to recognize the state of traffic light. The proposed system on our autonomous vehicle was evaluated. With voting schemes, the proposed can provide a sufficient accuracy for autonomous vehicles in urban enviroment.

The type, model, quantity, and location of sensors installed on the intelligent vehicle test platform are different, resulting in different sensor information processing modules. The driving map used in intelligent vehicle test platform has no uniform standard, which leads to different granularity of driving map information. The sensor information processing module is directly associated with the driving map information and decision-making module, which leads to the interface of intelligent driving system software module has no uniform standard. Based on the software and hardware architecture of intelligent vehicle, the sensor information and driving map information are processed by using the formal language of driving cognition to form a driving situation graph cluster and output to a decision-making module, and the output result of the decision-making module is shown as a cognitive arrow cluster, so that the whole process of intelligent driving from perception to decision-making is completed. The formalization of driving cognition reduces the influence of sensor type, model, quantity, and location on the whole software architecture, which makes the software architecture portable on different intelligent driving hardware platforms. [ABSTRACT FROM AUTHOR]

The advanced thermal batteries with CoS2 cathode are applied to provide high energy, delivering lower specific power, because it is not suitable for high current discharge. NiCl2, possessing a high potential and large current discharge capacity, is considered as one of the cathode candidates for high power thermal battery. LiB/NiCl2 couple outputs effectively specific power of [?]17.3kWkg[?]1 in this work at 500degC and 0.5Acm[?]2 (8Ag[?]1). However, NiCl2 has highly dissolution in LiF-LiCl-LiBr electrolyte (widely used in thermal batteries), resulting in the capacity loss and severe safety problem. Here, cross-sections between NiCl2 cathode and LiF-LiCl-LiBr electrolyte have been characterised by SEM after discharge at 500degC, and 0.5Acm[?]2-discharged interface exhibits blurrier boundary than that of 0.2Acm[?]2-discharged.

In order to develop new reference materials for microanalytical nuclear techniques, the Scanning Proton Microprobe (SPM) technique was used to determine homogeneity levels within 100×200 μm2micro-area on small pieces of IAEA Urban Dust reference materials. The experimental methods are described in detail. The results show that IAEA-396A/M Vienna Urban Dust is homogeneous enough for a SRM (≤10% for Si, S, K, Ca, Fe, Cu, Zn) for small sample analysis.

Abstract: This paper deals with the osteoporosis model of New Zealand rabbits in order to study the function of inorganic elements for women patients with osteoporosis. The thirty cases of iliac crest are collected and determined using neutron activation analysis (NAA). The results show that the fluorine concentrations in the experimental group are higher than those in control group and the magnesium concentrations are significantly lower (P<0.001), but the concentrations of K, Na, Ca, Ba, Mn, Sr show no remarkable difference. Combined with the serum biochemical markers of bone formation and resorption, the physiological functions of some metal elements in bone are also discussed.

Abstract: The IAEA-386 bovine liver candidate reference material is prepared specially for micro-analytical techniques. The development process including material collection, drying, pulverizing, sieving, homogenization and preliminary test is described in detail. More effective grinding methods were established to achieve the median partiele size of 22 μm. For reasons of quality control and better assessment of resulting data, its certification campaigns on world-wide will be organized by the IAEA.

Abstract: Bone mineral density (BMD) determination has been performed in 210 selected Shanghai residents of both sexes of age range 15–50 using Hologic QDR-2000 dual energy X-ray absorptiometry (DEXA). The results showed that in female groups the peak value of L1-L4 BMD was 1.023 g/cm2 at the age of 31–35, but in the male groups it was 0.971 g/cm2 aged 26–30 and the peak period lasted till the group aged 46–50. The similar conclusion has also obtained by further statistics.