Dynamic resource allocation(DRA) is a key technology to improve system performances in GEO multi-beam satellite systems. And, since the cache resource on the satellite is very valuable and limited, DRA problem under r...Dynamic resource allocation(DRA) is a key technology to improve system performances in GEO multi-beam satellite systems. And, since the cache resource on the satellite is very valuable and limited, DRA problem under restricted cache resources is also an important issue to be studied. This paper mainly investigates the DRA problem of carrier resources under certain cache constraints. What's more, with the aim to satisfy all users' traffic demands as more as possible, and to maximize the utilization of the bandwidth, we formulate a multi-objective optimization problem(MOP) where the satisfaction index and the spectrum efficiency are jointly optimized. A modified strategy SA-NSGAII which combines simulated annealing(SA) and non-dominated sorted genetic algorithm-II(NSGAII) is proposed to approximate the Pareto solution to this MOP problem. Simulation results show the effectiveness of the proposed algorithm in terms of satisfaction index, spectrum efficiency, occupied cache, and etc.展开更多
Objective: This paper discusses the impact of emergency care process optimization on the rescue efficiency of emergency patients. Methods: 102 cases of emergency patients received from January 2017 to February 2018 in...Objective: This paper discusses the impact of emergency care process optimization on the rescue efficiency of emergency patients. Methods: 102 cases of emergency patients received from January 2017 to February 2018 in our hospital were selected as research objects. According to the order of treatment, they were divided into control group and observation group. The routine nursing process was given to the control group, and the observation group was given an optimized nursing process to compare the rescue efficiency and nursing satisfaction of the two groups. Results: According to the results of the study, the nursing satisfaction of the two groups was compared. Among them, the total satisfaction of the observation group was 49, accounting for 96.07%;the control group was very satisfied with the nursing work, accounting for 82.35%. There was a significant difference in nursing satisfaction between the two groups, which was statistically significant (P<0.05). Comparing the rescue efficiency of the two groups of patients, the observation time, rescue time, infusion time and disease remission time were significantly lower than the control group, the rescue success rate was 94.11%, and the rescue success rate of the control group was 78.43%. The results have statistical significance (P < 0.05). Conclusion: The optimization of emergency nursing process can greatly improve the rescue efficiency of emergency patients, reduce the disability rate and mortality, improve the quality of nursing, and enhance the satisfaction of nursing. It is worthy of clinical promotion practice.展开更多
在5G异构网络(heterogeneous network,HetNet)中广泛部署小基站可以提高网络容量和用户速率,但密集部署也会产生严重干扰和更高能耗问题。为了最大化网络能量效率(energy efficiency,EE)并保证用户服务质量(quality of service,QoS),提...在5G异构网络(heterogeneous network,HetNet)中广泛部署小基站可以提高网络容量和用户速率,但密集部署也会产生严重干扰和更高能耗问题。为了最大化网络能量效率(energy efficiency,EE)并保证用户服务质量(quality of service,QoS),提出了一种在小蜂窝基站中嵌入能量收集器供电的资源分配方案。首先,针对网络系统的下行链路,将频谱和小基站发射功率分配问题建模为联合优化系统能效和用户满意度的多目标优化问题。其次,提出了基于深度强化学习的多目标演员-评论家(multi-objective actor-critic,MAC)资源分配算法求解所建立的优化模型。最后,仿真结果表明,相比于其他传统学习算法,能量效率提高了11.96%~12.37%,用户满意度提高了11.45%~27.37%。展开更多
基金supported by the National Science and Technology Major Project under Grant 2018ZX03001016
文摘Dynamic resource allocation(DRA) is a key technology to improve system performances in GEO multi-beam satellite systems. And, since the cache resource on the satellite is very valuable and limited, DRA problem under restricted cache resources is also an important issue to be studied. This paper mainly investigates the DRA problem of carrier resources under certain cache constraints. What's more, with the aim to satisfy all users' traffic demands as more as possible, and to maximize the utilization of the bandwidth, we formulate a multi-objective optimization problem(MOP) where the satisfaction index and the spectrum efficiency are jointly optimized. A modified strategy SA-NSGAII which combines simulated annealing(SA) and non-dominated sorted genetic algorithm-II(NSGAII) is proposed to approximate the Pareto solution to this MOP problem. Simulation results show the effectiveness of the proposed algorithm in terms of satisfaction index, spectrum efficiency, occupied cache, and etc.
文摘Objective: This paper discusses the impact of emergency care process optimization on the rescue efficiency of emergency patients. Methods: 102 cases of emergency patients received from January 2017 to February 2018 in our hospital were selected as research objects. According to the order of treatment, they were divided into control group and observation group. The routine nursing process was given to the control group, and the observation group was given an optimized nursing process to compare the rescue efficiency and nursing satisfaction of the two groups. Results: According to the results of the study, the nursing satisfaction of the two groups was compared. Among them, the total satisfaction of the observation group was 49, accounting for 96.07%;the control group was very satisfied with the nursing work, accounting for 82.35%. There was a significant difference in nursing satisfaction between the two groups, which was statistically significant (P<0.05). Comparing the rescue efficiency of the two groups of patients, the observation time, rescue time, infusion time and disease remission time were significantly lower than the control group, the rescue success rate was 94.11%, and the rescue success rate of the control group was 78.43%. The results have statistical significance (P < 0.05). Conclusion: The optimization of emergency nursing process can greatly improve the rescue efficiency of emergency patients, reduce the disability rate and mortality, improve the quality of nursing, and enhance the satisfaction of nursing. It is worthy of clinical promotion practice.
