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SLAM is a key technology in the field of mobile robot. However, it is difficult to meet the requirements of positioning accuracy by using single sensor to locate and navigate for a mobile robot. Multi-sensor information fusion technology has become an important method to solve the problem of mobile robot positioning and navigation. By establishing information fusion model, building sensor experimental platform such as laser radar, ultrasonic ranging module and monocular camera, based on the laser RBPF-SLAM algorithm, a SLAM algorithm based on multi-sensor information fusion is proposed. The mobile robot can locate and construct road sign map at the same time. The laser RBPF-SLAM positioning and monocular visual positioning are advanced by using the information fusion model Information fusion under the maximum posterior probability criterion. Through experiments, the accuracy, effectiveness and practicability of the proposed method are verified. more...

To protect individual privacy from unauthorized face recognition based on DNN models, adversarial facial obfuscation tries to generate an adversarial image with a feature vector differing markedly from the original image in the embedding space and keep perceptually similar between the two images simultaneously. This paper makes a brief survey of adversarial facial obfuscation. The preliminary theory about facial obfuscation is introduced first. With regard to adversarial facial obfuscation, the most important implementation factors consisting of transferability, perceptibility and compression resistance are also presented. more...

Water quality detection is important for water resources protection. There is an urgent need for convenient and precise water quality detection methods. In this paper a deep learning based detection method is proposed. A MobileNetV2 classifier is constructed and tested aiming at surface water quality classification. The experimental results show that the classifier has excellent performance and can also be deployed on edge devices conveniently. more...

Therapeutic hypothermia (TH) is the most potent therapeutic strategy for global cerebral ischemia (GCI), usually induced by cardiac arrest. TH has been shown both to suppress the delayed neuronal cell death in the vulnerable hippocampal CA1 subregion and to improve neurological outcomes in experimental animals after GCI. However, given the multiple adverse effects resulting from TH, application of such a therapy is typically limited. In recent years, methylene blue (MB) has emerged as a potential therapeutic drug for the treatment of neurodegenerative diseases. In this study, we investigated the beneficial effects of mild TH combined with MB treatment after GCI. We report that both the neuronal survival in the hippocampal CA1 region and the hippocampus-dependent spatial learning and memory in the combined treatment animals were enhanced compared to those in the single treatment animals. Mechanistic studies revealed that combined TH and MB treatment significantly attenuated mitochondrial dysfunction induced by GCI in the hippocampus CA1 region. The combined treatment also markedly suppressed GCI-induced reactive gliosis and inflammation and reduced oxidative stress while enhancing the antioxidant capacity of hippocampal CA1 neurons. Finally, combining TH and MB synergistically attenuated the intrinsic cytochrome c/caspase-3 apoptotic pathway induced by GCI. Our results suggest that TH and MB act synergistically to protect the ischemic brain and suppress cognitive impairment caused by GCI. more...

The fault tolerance of scale-free networks is examined in this paper. Through the simulation on the changes of the average path length and network fragmentation of the Barabasi-Albert model when faults happen, it can be observed that generic scale-free networks are quite robust to random failures, but are very vulnerable to targeted attacks at the same time. Therefore, an existing optimization strategy for the robustness of scale-free networks to failures and attacks is also introduced. The simulation similar with the above proved that the so-called (1, 0) network has potentially interconnectedness closer to that of a scale-free network and robustness to targeted attacks closer to that of an exponential network. Furthermore, its resistance to random failures is better than that of either of them. more...

On the battlefield, the cooperative fighting and communication among combat vehicles require higher service level of real-time transmission. Combat vehicles, fast moving and the links, frequent disruption lead to the increase of packet loss rate, packet delay and routing control overhead ratio. This paper proposes an expanding ring prediction and location aided AODV routing algorithm. It improves AODV routing protocol from both routing discovery and maintenance phases. In the rouing discovery phase, the algorithm limits the scope of sending RREQ through predicting the topology ring, and during the route maintenance phase, it predicts the motion range of destination node with the information provided by GPS to avoid blindness routing. The simulation results show that the proposed routing algorithm can greatly cut down the overload of combat vehicular network, improve the routing delay and reduce packet loss rate. It can meet the real-time requirements of the service transmission among combat vehicles and also improve the performance of the combat vehicular network. more...

Naturally existing Newcastle disease virus (NDV) can specifically execute oncolytic ability in clinical studies. Reports from clinical trials using NDV as oncolytic agents showed promise and warrant results in cancer therapy. In recent years, reverse genetics technology has been used widely in the studies of NDV virology. More recently, the technology was applied to optimize the oncolytic efficacy of NDV, for instance, modification of the F gene, and expression of GM-CSF, IFN-gamma, IL-2 or TNF-alpha. NDV is widely investigated in cancer therapy and will definitely offer a prosperous future for clinical cancer therapeutics. We reviewed the developments of cancer therapy by recombinant NDV using reverse genetics technology, as well as our own experience in this domain. more...

A set of correlated malicious agents may form a malicious overlay network (MON) based on an existing network, and a logical link between any two malicious nodes can be established in the overlay dispensing with direct substrate connection between these nodes. In terms of topology complexity, MONs can be divided into simple MONs and complex MONs. A simple MON's topology is statistically consistent while a complex MON is not, which makes them own much different features. In this paper we try to characterize different MONs based on several widely used network measurements since the characterization of MONs may help to defend against MON attacks. more...