Performance Analysis of One Model of Communication and Information System in Military Operation

Abstract

This paper presents a model of communication and information system in military operations. Here OPNET MODELER simulation package is applied because it is suitable for network modelling, topology and capacity planning. Simulation of different types of IP traffic and monitor their performance to optimise the functionality of network elements, management performance network applications, and as well as in research and development of new network technologies. Application of the method of mass service are determined by the capacity needed for voice transmission on the links in the model and using the OPNET MODELER simulation program are analysed performance modeled communication information system in data transmission. The results of the simulation are presented through target the service settings: workload links communication and information system, e-mail download response time, http page download response time and packet loss in data transfer. The aim of the research has shown that modeled communication information system with defined elements (nodes), the capacity of links (according to the specification of telecommunication devices) and defined traffic can respond to the requirements of command forces in the military operation in terms of telecommunication service. The results of the analysed service target parameters show that modeled communication and information system provides an efficient flow of information and the tra nsfer of voice and IP data for the needs of command and control in military operations.

Performance Analysis of Target Information Recognition System for Agricultural Robots

“…The experimental results show that the success rate of the agricultural robot is about 76.5%. Devetak et al (2019) designed and built a robot vision system for grape picking in Greenhouse Based on double stereo vision technology. The agricultural robot moves along the direction of the grape rack, takes the grape image and judges whether it is mature through the dual vision system in real-time.…”