Social Welfare Maximization Auction in Edge Computing Resource Allocation for Mobile Blockchain

Blockchain, an emerging decentralized security system, has been applied in many applications, such as bitcoin, smart grid, and Internet-of-Things. However, running the mining process may cost too much energy consumption and computing resource usage on handheld devices, which restricts the use of blockchain in mobile environments. In this paper, we consider deploying edge computing service to support the mobile blockchain. We propose an auction-based edge computing resource market of the edge computing service provider. Since there is competition among miners, the allocative externalities (positive and negative) are taken into account in the model. In our auction mechanism, we maximize the social welfare while guaranteeing the truthfulness, individual rationality and computational efficiency. Based on blockchain mining experiment results, we define a hash power function that characterizes the probability of successfully mining a block. Through extensive simulations, we evaluate the performance of our auction mechanism which shows that our edge computing resources market model can efficiently solve the social welfare maximization problem for the edge computing service provider

Profit Maximization Auction and Data Management in Big Data Markets

A big data service is any data-originated resource that is offered over the Internet. The performance of a big data service depends on the data bought from the data collectors. However, the problem of optimal pricing and data allocation in big data services is not well-studied. In this paper, we propose an auction-based big data market model. We first define the data cost and utility based on the impact of data size on the performance of big data analytics, e.g., machine learning algorithms. The big data services are considered as digital goods and uniquely characterized with "unlimited supply" compared to conventional goods which are limited. We therefore propose a Bayesian profit maximization auction which is truthful, rational, and computationally efficient. The optimal service price and data size are obtained by solving the profit maximization auction. Finally, experimental results on a real-world taxi trip dataset show that our big data market model and auction mechanism effectively solve the profit maximization problem of the service provider.Comment: 6 pages, 9 figures. This paper was accepted by IEEE WCNC conference in Dec. 201

留置鼻胃管引发贲门糜烂的个案报道

To report a case of the cardiac erosion caused by indwelling nasogastric tube. Analyzed the reasons of the cardiac erosion from the aspects of the lesion location, influential factors and so on, and put forward new measures to prevent the complication of nasogastric gavage.报告1例留置鼻胃管所引发的贲门糜烂个案。对患者出现贲门糜烂的原因从发生部位、影响因素等多方面进行分析，提出鼻饲并发症预防的新对策

Design and clinical application of colonoscopy convenient pant

结肠镜检查是诊治肠道疾病的首选方法。随着肠道疾病发病率的增长，越来越多的人群需要接受结肠镜检查。为了方便检查、保护病人隐私及防止受凉等，笔者设计制作了结肠镜检查方便裤，并已经很好地将其应用于临床。Colonoscopy is the first choice for diagnosis and treatment of intestinal diseases. With the growth of the incidence of intestinal disease, more and more people need colonoscopy. In order to inspecting conveniently, protecting patients’ privacy and preventing them from catching a cold, we designed the colonoscopy convenient pant and have applied it into clinic well