<span lang="EN-US">For a very long time protecting physical border integrity is considered to be a challenging thing. Government organizations must provide trade operations for economic growth and at the same time must prevent malicious activity. A different resource such as drones, sensors, and radars are used for monitoring border areas which must be communicated to the remote border security force. Efficient wireless communication is required for communicating information. However, these devices cannot connect to a centralized network directly; thus, are connected in an ad-hoc fashion to connect centralized server. Different tactical network applications require different quality of service (QoS); hus efficient resource scheduling plays a very important role. Existing resource scheduling adopting deep learning and reinforcement techniques fails to meet the quality of experience (QoE) of the user and doesn’t assure access fairness among contending users. Further, require network information in prior and induce high training time. For overcoming research issues, this paper presents a delay-aware downlink resource scheduling (DADRA) technique for future generation networks. The optimization problem of reducing buffer overflow and improving scheduling QoS performance is solved using a genetic algorithm with an improved crossover function. Experiment outcome shows DADRA achieves much better throughput, slot utilization, and packet failure performance when compared with standard resource allocation technique.</span>
Despite the availability of several stroke rehabilitation devices, there is a need for a system which is comprehensive, compact and worthwhile. The backdrops in the current rehabilitation devices are that they are complex, bulky in structure and are high-priced. In order to overcome these limitations an innovative electric glove system has been prototyped to aid finger-impairment in post-stroke patients. The results obtained from this glove can be analysed using a data-scale. This lucid system can be used by physiotherapists and doctors to get qualitative results. The aim here is to provide millions of people suffering with stroke, a rehabilitation system that is not only effective but also affordable at the same time.
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