Federated Learning-based Vehicle Trajectory Prediction against Cyberattacks

With the development of the Internet of Vehicles (IoV), vehicle wireless communication poses serious cybersecurity challenges. Faulty information, such as fake vehicle positions and speeds sent by surrounding vehicles, could cause vehicle collisions, traffic jams, and even casualties. Additionally, private vehicle data leakages, such as vehicle trajectory and user account information, may damage user property and security. Therefore, achieving a cyberattack-defense scheme in the IoV system with faulty data saturation is necessary. This paper proposes a Federated Learning-based Vehicle Trajectory Prediction Algorithm against Cyberattacks (FL-TP) to address the above problems. The FL-TP is intensively trained and tested using a publicly available Vehicular Reference Misbehavior (VeReMi) dataset with five types of cyberattacks: constant, constant offset, random, random offset, and eventual stop. The results show that the proposed FL-TP algorithm can improve cyberattack detection and trajectory prediction by up to 6.99% and 54.86%, respectively, under the maximum cyberattack permeability scenarios compared with benchmark methods

A Multi-Robot System Based on A Hybrid Communication Approach

Communication plays an important role in a multi-robot system. In a large system with many robots, it is difficult for all robots to exchange information at a time because of their limited communication capacities. On the other hand, sometimes there is such a situation where no explicit communication is allowed between robots. Therefore, efficient and reliable communication together with non-explicit communication is crucial for a multi-robot system. This paper presents a hybrid communication approach for a multi-robot system, which combines the explicit with implicit communications via using the prediction of robotic behaviour and a fuzzy communication approach. The hybrid communication approach contains a robot performance rule base, a fuzzy inference engine, and a semantics and grammar for communicating. Based on the hybrid communication strategy, the avoidance of collision with multiple robots in working area and multiple robots transporting a common object have been explored. The results of simulation show that the multi-robot system can complete a cooperative task successfully

A Case of Penile Squamous Cell Carcinoma Associated with HPV58 Infection

We report the case of a 55-year-old man with penile squamous cell car- cinoma (SCC). We found a mass in the patient’s penis, which gradually increased in size. We performed a partial penectomy to remove the mass. Histopathology revealed a highly differentiated squamous cell carcinoma. Human papillomavirus (HPV) DNA was detected by polymerase chain reaction. HPV was found to be pres- ent in the squamous cell carcinoma, and sequencing analysis showed that it was type 58

Direct in situ synthesis of a 3D interlinked amorphous carbon nanotube/graphene/BaFe12O19 composite and its electromagnetic wave absorbing properties

2016-2017 > Academic research: refereed > Publication in refereed journalbcrcVersion of RecordPublishe

Near-infrared fluorophores methylene blue for targeted imaging of the stomach in intraoperative navigation

Near-infrared (NIR) fluorescence imaging-guided surgery is increasingly concerned in gastrointestinal surgery because it can potentially improve clinical outcomes. This new technique can provide intraoperative image guidance for surgical margin evaluation and help surgeons examine residual lesions and small tumors during surgery. NIR fluorophores methylene blue (MB) is a promising fluorescent probe because of its safety and intraoperative imaging in the clinic. However, whether MB possesses the potential to perform intraoperative navigation of the stomach and gastric tumors needs to be further explored. Therefore, the current study mainly validated MB’s usefulness in animal models’ intraoperative imaging of stomach and gastric tumors. NIR fluorophores MB can exhibit specific uptake by the gastric epithelial cells and cancer cells. It is primarily found that MB can directly target the stomach in mice. Interestingly, MB was applied for the NIR imaging of gastric cancer cell xenografts, suggesting that MB cannot specifically target subcutaneous and orthotopic gastric tumors in xenograft models. Thus, it can be concluded that MB has no inherent specificity for gastric tumors but specificity for gastric tissues. Apparently, MB-positive and negative NIR imaging are meaningful in targeting gastric tissues and tumors. MB is expected to represent a helpful NIR agent to secure precise resection margins during the gastrectomy and resection of gastric tumors

Electromagnetic wave absorbing properties of aligned amorphous carbon nanotube/BaFe12O19 nanorod composite

Aligned amorphous carbon nanotube (AACNT)/BaFe12O19 nanorod (BNR) composite was prepared by chemical vapor deposition and ball-milling methods. Raman and XRD tests were performed to investigate the microstructures, and the microwave absorbing properties of the as prepared composite were characterized using a vector network analyzer. The experimental results indicated that the mean length of as-prepared ACNT arrays was about 24 μm and the average length of BNRs were about 50 nm. The maximum absorbing peak of AACNTs/BNR composite is −21.5 dB at the frequency of 9.3 GHz. The frequency bandwidth of the reflectivity loss below −10 dB is about 2.5 GHz. AACNTs have both features of amorphous CNTs which have multiple-reflective path inside the tube-wall and crystalline CNTs which have high conductivity.Institute of Textiles and Clothin

Urban Environment Modelling Based on Data Fusion

Environment modelling is essential for virtual environments or virtual reality systems. This paper, with regarding to the feature of urban environment, presents an approach of data fusion to modelling an urban environment, which integrates the data from the Geographic Information System (GIS), a camera and laser measurement system, and synthetic data. The design of system structure and its components are briefly described. The model of Chapel Street Corridor in Salford and the model of Salford University Campus have been established. It shows that the approach is applicable