Abstract Nano-sensor can directly monitor human motion, and transmit the data to the monitoring center through the micro-nano interface, which can be analyzed and processed based on real-time monitoring data under the premise of execution capability. Due to the defense human motion posture trajectory data containing rapidly changing angular velocity and acceleration, it is difficult to perform fine localization and analysis during rapid motion. Therefore, a trajectory method for defense human motion posture based on nano-sensor is proposed. First, nano-sensor monitoring nodes are arranged to set up the defense data mining process and initially obtain the defense human motion posture trajectory data. Second, the collected data are used to build a trajectory description model to match the trajectory states under different virtual forces. Finally, according to the trajectory state conversion of human running trajectory coordinate system, using the gravitational model to determine the attraction and repulsion of the defending human, to achieve the deep mining of defense posture data. The results show that the proposed method can classify the five defense poses more accurately than other traditional methods, and the accuracy of defensive posture recognition is high. It can truly restore the execution of tactics, arrange the offensive and defense positions of personnel, and better design the defense and offensive strategies of personnel.

Background Cysteine proteinase inhibitor (cystatin, CPI) is one of the most important molecules involved in plant development and defense, especially in the regulation of stress responses. However, it is still unclear whether the Jatropha curcas CPI (JcCPI) gene functions in salinity response and tolerance. In this study, the sequence of the JcCPI gene, its expression pattern, and the effects of overexpression in Escherichia coli and Nicotiana benthamiana were examined. The purpose of this study was to evaluate the regulatory role of JcCPI in salinity stress tolerance. Results The CPI gene, designated JcCPI, was cloned from J. curcas; its sequence shared conserved domains with other plant cystatins. Based on a transcription pattern analysis, JcCPI was expressed in all tissues examined, but its expression was highest in the petiole. Additionally, the expression of JcCPI was induced by salinity stress. A potential role of JcCPI was detected in transgenic E. coli, which exhibited strong CPI activity and high salinity tolerance. JcCPI was also transferred to tobacco plants. In comparison to wild-type plants, transgenic plants expressing JcCPI exhibited increased salinity resistance, better growth performance, lower malondialdehyde (MDA) contents, higher anti-oxidase activity, and higher cell viability under salinity stress. Conclusions Based on the results of this study, overexpression of JcCPI in E. coli and N. benthamiana conferred salinity stress tolerance by blocking cysteine proteinase activity. The JcCPI gene cloned in this study will be very useful for the development of stress-tolerant crops.