VR-based training of craniotomy for intracranial aneurysm surgery

Purpose Intracranial aneurysms can be treated micro-surgically. This procedure involves an appropriate head position of the patient and a proper craniotomy. These steps enable a proper access, facilitating the subsequent steps. To train the access planning process, we propose a VR-based training system. Method We designed and implemented an immersive VR access simulation, where the user is surrounded by a virtual operating room, including medical equipment and virtual staff. The patient’s head can be positioned via hand rotation and an arbitrary craniotomy contour can be drawn. The chosen access can be evaluated by exposing the aneurysm using a microscopic view. Results The evaluation of the simulation took place in three stages: testing the simulation using the think-aloud method, conducting a survey and examining the precision of drawing the contour. Although there are differences between the virtual interactions and their counterparts in reality, the participants liked the immersion and felt present in the operating room. The calculated surface dice similarity coefficient, Hausdorff distance and feedback of the participants show that the difficulty of drawing the craniotomy is appropriate. Conclusion The presented training simulation for head positioning and access planning benefits from the immersive environment. Thus, it is an appropriate training for novice neurosurgeons and medical students with the goal to improve anatomical understanding and to become aware of the importance of the right craniotomy hole.

Research on the weapon target assignment problem in the combined air defense missile system for training simulation

In modern warfare, when the weapon system and the targets are constantly being improved and upgraded, ensuring the distribution of firepower to optimally destroy the target will help the commander to make quick and accurate decisions, thereby improving combat effectiveness. This paper proposes a method to build a command-control automatic system based on solving the weapon target assignment (WTA) problem in a combination of short and medium-range air defense missile systems so that the total damage of targets is maximum and the damage of protected area is minimum. Based on combinatorial optimization algorithms, the probability of kill, linear programming method using Hungarian algorithm, the paper presents a mathematical model of WTA and its optimal solution for short- and medium-range air defense missile systems serving the training simulation problem, thereby giving the results of evaluating the effectiveness of the algorithm.

A Communication Method of Distributed Tactical Training Simulation System Suitable for Remote Interconnection

The traditional distributed tactical training simulation system is limited by the availability and bandwidth of military network transmission channel and does not have the feasibility of remote interconnection and spatial sub-regional deployment. In this paper, a new communication method of distributed tactical training simulation system is proposed to solve the problem of strong business coupling between nodes and system availability under the condition of low bandwidth. The operator of federated exchange, federated queue and their concepts and design requirements are firstly proposed, and the inverted tree, triangle, ring exchange topology and circular queue structure are further constructed. Theoretically, the expected goal of high-speed interworking between nodes in the cluster and high reliable transmission between clusters is realized. The example also shows that this method can significantly improve the throughput of single switching node and federated node after using reliability confirmation mechanism.

Strategic Analysis of Circular Economy on "Integration of Two Networks": Take the Tobacco Industry in C City as an Example

Objectives: Reducing garbage sorting and renewable resources recovery increment is an important content of promoting circulation economy development of China, based on the C city tobacco industry as an example, first the present situation of "two network convergence" in C city tobacco industry and results were analyzed, and then using accident tree analysis it is concluded that the tobacco industry "two nets fusion" are faced with the problem, and then establish orthogonalization discrete Hopfield neural network capability evaluation model, "two network convergence" By using Matlab to conduct network learning and training, simulation experiments and data analysis, the quantitative evaluation of the tobacco industry "two-network integration" ability of five cities including C city is objectively obtained. On this basis, the countermeasures for improving the tobacco industry "two-network integration" ability of China are given.

The Rehabilitation Training Simulation of High Difficulty Movement and Sports Strain Site Based on Big Data

We study the rehabilitation training of damaged parts of ice and snow sports clock and ensure the physical safety of athletes. The results show that the RBF neural network updates the center, weight, and width of the radial basis function, and the predicted maximum compliance is 99%, and the minimum compliance is 93%. After many analysis times, the prediction results show that the difference between the predicted degree of conformity and the actual results is less than 8%. The RBF neural network is trained according to the risk database of sports injury, and the RBF neural network will output corresponding values to realize sports injury estimation. The experimental results show that the designed model has high precision and efficiency.

Simulation Technologies as an Effective Method of Training Specialists in Obstetric Hospitals

The use of highly realistic simulators and phantoms, various forms of training (simulation scenarios with debriefing, interactive trainings, hands-on trainings, lectures), distance technologies and the possibilities of social networks can improve the quality of training for doctors of different specialties.