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As the main nutrient inputs of East China Sea (ECS), nutrient concentrations of the Yangtze River increase significantly due to high-speed economy development, which play a very important impact on the East China Sea ecosystem. In this study, by integrating MEC and EwE model, we analyzed the impact of Yangtze nutrient fluxes change and fishery on the ecosystem of ECS from 1960 to 2000. Our research shows that under high fishing pressure, the main fish production decrease significantly, average trophic level recession and small fish take the main position of ecosystem. But the increasing nutrition influxes from Yangtze River have a certain influence for the ecosystem to slow the decline tendency of fish because it can stimulate the plankton growth. This research provides a method to study the entire ecosystem from the prospective of both environmental and fishery factors, extending from physical conditions to higher ecosystem, to achieve a top–down and bottom–up management.

In this paper, we introduce walking assist robot systems for the elderly people to manage the independent living over a long period of time in serious aging society. This research especially focuses on the motion control method of the walking assist robot systems based on the human linkage model calculated in real time. According to the human linkage model, the robot systems could calculate a position of the user’s center of gravity and the joint moment applied around the each joint of the user in real time. Based on the information of the user, the robot systems could support the walking appropriately. The motion control algorithms based on the human model are implemented to the walker-type walking assist system and the wearable walking assist system experimentally, and experimental results illustrate the validity of the proposed methods.

As aging progresses, fall accident of the person using the walker is an acute problem. It is necessary to know the situation of the userpsilas fall to prevent it. In this paper, we propose a method for estimating the userpsilas fall by modeling of the user in real time as a solid body link model, and pay attention to the center of gravity of the model. We also propose a method for controlling a passive intelligent walker to prevent the userpsilas fall according to the support polygon and the walking characteristic of the user. We experimented with passive intelligent walker in which we implement the proposed fall prevention control and show the effectiveness of the proposal method.