Application of CSK Encryption Algorithm in Video Synergic Command Systems

Video command and dispatch systems have become essential communication safeguard measures in circumstances of emergency rescue, epidemic prevention, and control command as, data security has become especially important. After meeting the requirements of voice and video dispatch, this paper proposes an end-to-end encryption method of multimedia information that introduces a multiple protection mechanism including selective encryption and selective integrity protection. The method has a network access authentication and service encryption workflow, which implants startup authentication and key distribution into the information control signaling procedure. This method constitutes a key pool with the three-dimensional Lorenz System, the four-dimensional Cellular Neural Network (CNN) System and the four-dimensional Chen System where the key source system and initial conditions are decided by the plaintext video frame itself. Then, this method optimizes the chaotic sequences to further enhance system security.

The Value of Emergency Nursing Mode in the Treatment of Patients with Traumatic Shock

Objective. To study the value of emergency nursing mode in patients with traumatic shock. Methods. 76 patients with traumatic shock in our hospital from March 2019 to February 2021 were selected and divided into study group and control group according to different rescue modes, 38 cases in each group. The study group adopted emergency nursing mode for rescue, while the control group adopted routine nursing mode for rescue. The rescue intervention, emergency stay and preoperative preparation time, rescue success rate, emergency rescue effect, complications, and satisfaction rate of patients and their families for rescue were compared between the two groups. Results. The rescue intervention, emergency stay and preoperative preparation time of the study group were significantly shorter than those of the control group, and the difference was statistically significant ( P < 0.05 ). The rescue success rate of the study group was 97.37%, which was significantly higher than 84.21% of the control group, and the difference was statistically significant ( P < 0.05 ). The improvement rate of the study group was significantly higher than that of the control group, the disability rate was significantly lower than that of the control group, the overall emergency rescue effect was better than that of the control group, and the difference was statistically significant ( P < 0.05 ). The incidence of complications in the study group was 2.63%, which was significantly lower than 23.68% in the control group ( P < 0.05 ). The satisfaction rate of patients and their families in the study group was 97.37%, which was significantly higher than 84.21% in the control group ( P < 0.05 ). Conclusion. Emergency nursing mode in patients with traumatic shock owns higher rescue value, can buy time for the operation, improve the success rate and effect of rescue, make safety and satisfaction higher. Overall, for patients with traumatic shock, emergency nursing mode is better than conventional rescue nursing.

Establishment of the dependence of the strength indicator of the composite material of pressure hoses on the character of single damages

Experimental studies are presented and the dependence of the change in the strength of the material of a pressure head fire hose of type T with an inner diameter of 77 mm in the longitudinal direction is established, taking into account single damages. The work describes the plan of the experiment and carried out a number of field experiments to determine the effect of the length ld and the depth K damage on the strength F of the hose material, that is, obtaining the dependence F=f (ld, K). A mathematical method of experiment planning was used and a plan was drawn up for a complete multivariate experiment of type 2k with an acceptable model accuracy of 5 %. The limits of variation of the factors are set taking into account a priori information, experimental capabilities and on the basis of the results of preliminary search experiments. The dependence in the coded and natural values of the factors is obtained. The reliability of the relationship was checked using the Fisher test, the calculated value of which was 5.98, which confirms the adequacy of the described process with a probability of 95 %. Analyzing experimental studies of the dependence of the change in the strength of the hose material on the length and depth of damage, it can be said that the change in the strength of the hose almost linearly depends on the specified damage parameters. It is found that with increasing damage, the strength of the hose material significantly decreases. When varying the length factor and the greatest depth of damage, K=0.4 mm, the strength of the hose material decreases from 11.67 kN to 8.77 kN, and in percentage terms by 25 %. The results obtained can be used in practical units of emergency rescue teams, when diagnosing hidden damage in pressure head fire hoses in order to prevent their failure in case of fires

Autonomy-oriented proximity mobile social network modeling in smart city for emergency rescue

Nearest neighbor mobile social network means that movers approaching in position communicate through their social sensors, which is called Proximity Mobile Social Network. Proximity Mobile Social Network can provide more social and business opportunities for users. To carry out disaster relief work in post-disaster environment, we need to collect incident information during the search process and report to the sink in time. Proximity Mobile Social Network provides flexible systems for emergency handling and disaster relief. Therefore, how to find a better data forwarding and routing strategy is the key problem of post-disaster rescue, and the research of user mobility model is the basis of the above problems. This article presents an Autonomy-Oriented Proximity Mobile Social Network modeling for emergency rescue in smart city, which simulates the network operating environment. First, we verify the performance of Autonomy-Oriented Proximity Mobile Social Network model in terms of self-organization, scale-free, aggregation, and community structure. Then, the rescue efficiency is discussed through the coverage of mobile sensors. Finally, performance of the routing strategy based on Autonomy-Oriented Proximity Mobile Social Network model is analyzed, and the effectiveness of the method is proved.

Determination the rational locations of territorial emergency response teams in the area of possible emergency situations of natural and technogenic nature

Due to frequent emergency cases at hazardous production facilities, which can lead to an environmental disaster, material and social damage, the issue of using the rational locations of territorial emergency response teams in the area of responsibility is the most relevant. The greatest weight if it is necessary to determine the rational place for the permanent deployment of territorial emergency rescue units created by the state authorities of the subject of the Russian Federation. Due to the lack of guidance documents and methodological recommendations for determining the permanent location of territorial emergency rescue units, this task was solved in each constituent entity of the Russian Federation in its own way and with a significant degree of subjectivity. It is proposed to use an algorithm for determining the permanent location of the rescue formation in the area of responsibility based on the probability of calling the formation to incidents, accidents and emergencies.

Hastily formed knowledge networks and distributed situation awareness for collaborative robotics

In the context of collaborative robotics, distributed situation awareness is essential for supporting collective intelligence in teams of robots and human agents where it can be used for both individual and collective decision support. This is particularly important in applications pertaining to emergency rescue and crisis management. During operational missions, data and knowledge are gathered incrementally and in different ways by heterogeneous robots and humans. We describe this as the creation of Hastily Formed Knowledge Networks (HFKNs). The focus of this paper is the specification and prototyping of a general distributed system architecture that supports the creation of HFKNs by teams of robots and humans. The information collected ranges from low-level sensor data to high-level semantic knowledge, the latter represented in part as RDF Graphs. The framework includes a synchronization protocol and associated algorithms that allow for the automatic distribution and sharing of data and knowledge between agents. This is done through the distributed synchronization of RDF Graphs shared between agents. High-level semantic queries specified in SPARQL can be used by robots and humans alike to acquire both knowledge and data content from team members. The system is empirically validated and complexity results of the proposed algorithms are provided. Additionally, a field robotics case study is described, where a 3D mapping mission has been executed using several UAVs in a collaborative emergency rescue scenario while using the full HFKN Framework.

Evaluation of Emergency Rescue Efficiency in Coal Mines Based on Co-entropy

By decomposing the coal mine emergency rescue organization and coal mine emergency rescue work, the synergy entropy function is constructed by combining the synergy class with the entropy theory, and the synergy efficiency assessment model of coal mine emergency rescue is established. Analyze the synergistic relationship between departments in the rescue organization and between departments and functional units, construct the synergistic influence matrix, and obtain the synergistic status of the coal mine emergency rescue system by calculating the synergistic entropy, synergistic efficiency and synergistic degree. The quantitative analysis of the emergency rescue system in coal mines is achieved by analyzing the situation of the rescue work in coal mines and evaluating the rescue organizations at each tier based on the established evaluation model.