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At present, with the increasingly growing application of Internet of Things, virtualization and intelligent technologies, and the maturity of smart campus systems, campus card technology based on radio frequency identification (RFID) has developed rapidly. Due to the convenience of use, it is widely used in dormitory access control system, book borrowing system, attendance system, and payment system. Because the data carried by the RFID card is more and more complex, the requirements for its security are getting higher and higher. In order to solve the problem of identity authentication and privacy protection of the RFID application existed in the digital campus in recent years, an improved mutual authentication protocol in mobile RFID for smart campus is put forward by analyzing and studying existing smart campus authentication protocols based on hash algorithm, which uses the technology of random number S and time stamp T. This protocol implements mutual authentication among the tag, reader, and backend database without the premise that the signal path between the database and reader communication is a safe signal path and can effectively resist counterfeit attack, replay attack, position tracking attack, de-synchronization attack, eavesdropping attack, denial of service attack, and man-in-the-middle attack, and it can also guarantee forward security. Due to the large data operations and storage have been transferred to readers and backend data, the protocol is formally proved to have a strong reliability and a good security. In addition, through the comparison with other existing authentication protocols on the resident variable storage overhead, the cost of computing complexity and the security performance, the authentication protocol proposed in this paper has a better storage and calculation performance, and it can better satisfy the security requirements in mobile RFID applications for smart campus in the future and has a good application prospect.

In recent years, in order to protect the security of medical privacy data, a large number of telemedicine authentication protocols have been proposed. Some protocols use digital signature methods t...

The CaSrSiO4 nanophosphor-doped 0.7 mol% Tb3+ ions have been prepared by the high-temperature sintering method. XRD pattern is consistent with the standard card of CaSrSiO4 host, and the average particle size of CaSrSiO4:0.7Tb is about 50 nm. There exist intense green (544, 552 nm) and weak blue (485, 488 nm), yellow (588 nm), and red (625 nm) emissions under the excitation of 325 nm He–Cd laser, corresponding, respectively, to the transitions of Tb3+ ions from 5D4 and its splitting to 7F5,4,6,3,2 energy levels. The low-temperature photoluminescence characteristics of the sample are measured in the range of 290–10 K. The relationship between fluorescence intensity ratio and temperature is FIR = 0.895 + 0.469exp(− 145.8/T) and the maximum value of sensitivity is 17.6 × 10− 4 K− 1 at 70 K, indicating that CaSrSiO4:Tb3+ nanophosphor is a promising sensing material for low-temperature measurement.

Telemedicine is an effective way to solve the imbalance in the distribution of medical resources. However, since related medical privacy data needs to be transmitted over the Internet, it will be exposed to the attacker. Therefore, designing a corresponding authentication protocol to protect users’ privacy has practical significance. For the security problems existing in telemedicine systems, an improved telemedicine system authentication protocol is proposed. This authentication protocol has indistinguishability and forward security, it can effectively resist attacks such as retransmission, tracking, eavesdropping, man-in-the-middle and denial of service. The relevant security performance analysis proves that this protocol can have higher efficiency and security.

In this paper, a hardware resource management method based on virtualized modeling is designed for the problem of difficult hardware resource management in heterogeneous signal processing platform. Firstly, the hardware architecture of heterogeneous signal processing platform is introduced. Secondly, the hardware virtualization modeling method is given. Finally, the model of resource management based on database is given. The whole method is efficient, convenient and flexible, and can meet the requirements of heterogeneous platform in hardware resource management.

In this paper, we present an improved motion estimation method by adding extra information for binocular visual odometry (VO) which is especially suited for improving high-speed pose change estimation. The extra information is obtained by structured object detecting, taking lane line detection as an example. We can get an accurate position information by calculating the interval of each dotted lane line and counting the number of the dotted line which can be fused with the pose information obtained from visual odometry. The outlier rejection of the VO is also improved, making it adapt to highway situation. In the fusion process, a Kalman filter is adopted to estimate the motion and location information for a high speed vehicle. The experimental results show that the approach proposed is valid and can increase the positioning accuracy significantly compared with ordinary visual odometry.

To achieve a better robustness and get a static response of a certain target missiles in longitudinal control, a mathematical model of target missiles is established. The uncontrolled trajectory, the predetermined trajectory and the requirements of the predetermined trajectory are analyzed next. Then the trajectory instruction angle is designed to ensure the stable flight of the target missiles system. To solve the problem that the PID controller cannot adjust parameters online and the output is easy to be disturbed by external noise, the fuzzy adaptive PID control is designed. It enhanced the robustness of the target missiles by fuzzy control, and also has a good response by using PID control. The simulation experiments show the fuzzy adaptive control system can track the predetermined trajectory rapidly and smoothly, and the static error and overshoot were significantly reduced. When the system are affected by noise, the fuzzy adaptive PID control can achieve a good robustness than traditional PID controller.

The attitude solution is a vital index in the research of guided munitions. In order to better understand the attitude solution algorithm, the initial alignment and the error analysis, we study the attitude parameters. For the initial alignment requirement of the guided munitions integrated navigation, we use the attitude solution algorithm based on using the MR sensor. This algorithm uses magnetic sensor to measure the magnetic field signal. And in the premise of knowing the head angle, we tend to calculate the other two attitude angles. In addition, this paper proposes three algorithm errors, and the result is showed with the simulation and analysis using MATLAB. The simulation results show the algorithm is advisable in the attitude solution. It can be considered using this algorithm for guided munitions.