• Journal of Contemporary Eastern Asia
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• v.14 no.2
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• pp.37-44
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• 2015

Many people criticized how the Chinese government responded to the Wenchuan Earthquake. They focused on how it failed to address the psychological needs of the survivors. The study presented here approached this issue from a human resources perspective. It was determined that the Chinese government approached the situation in a bureaucratic way that limited the government's capacity and barred non-profit organizations and community groups from participating. It was also found that survivors could not contact these organizations for psychological support. This study concludes that the situation called for a more flexible and improvised institution that would respond to the emerging needs of survivors.

• Journal of Internet Computing and Services
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• v.22 no.5
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• pp.27-33
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• 2021

With the broad adoption of the Internet of Things (IoT) in a variety of scenarios and application services, management and orchestration entities require upgrading the traditional architecture and develop intelligent models with ultra-reliable methods. In a heterogeneous network environment, mission-critical IoT applications are significant to consider. With erroneous priorities and high failure rates, catastrophic losses in terms of human lives, great business assets, and privacy leakage will occur in emergent scenarios. In this paper, an efficient resource slicing scheme for optimizing federated learning in software-defined IoT (SDIoT) is proposed. The decentralized support vector regression (SVR) based controllers predict the IoT slices via packet inspection data during peak hour central congestion to achieve a time-sensitive condition. In off-peak hour intervals, a centralized deep neural networks (DNN) model is used within computation-intensive aspects on fine-grained slicing and remodified decentralized controller outputs. With known slice and prioritization, federated learning communications iteratively process through the adjusted resources by virtual network functions forwarding graph (VNFFG) descriptor set up in software-defined networking (SDN) and network functions virtualization (NFV) enabled architecture. To demonstrate the theoretical approach, Mininet emulator was conducted to evaluate between reference and proposed schemes by capturing the key Quality of Service (QoS) performance metrics.