With the proliferation of intelligent services and applications authorized by artificial intelligence, the Internet of Things has penetrated into many aspects of our daily lives, and the medical field is no exception. The medical Internet of Things (MIoT) can be applied to wearable devices, remote diagnosis, mobile medical treatment, and remote monitoring. There is a large amount of medical information in the databases of various medical institutions. Nevertheless, due to the particularity of medical data, it is extremely related to personal privacy, and the data cannot be shared, resulting in data islands. Federated learning (FL), as a distributed collaborative artificial intelligence method, provides a solution. However, FL also involves multiple security and privacy issues. This paper proposes an adaptive Differential Privacy Federated Learning Medical IoT (DPFL-MIoT) model. Specifically, when the user updates the model locally, we propose a differential privacy federated learning deep neural network with adaptive gradient descent (DPFLAGD-DNN) algorithm, which can adaptively add noise to the model parameters according to the characteristics and gradient of the training data. Since privacy leaks often occur in downlink, we present differential privacy federated learning (DP-FL) algorithm where adaptive noise is added to the parameters when the server distributes the parameters. Our method effectively reduces the addition of unnecessary noise, and at the same time, the model has a good effect. Experimental results on real-world data show that our proposed algorithm can effectively protect data privacy.

According to World Intellectual Property Indicators 2014, growth rate of measurement technique was the leader of the top five fields of technology. Professional tool-ISI Web of Knowledge System Derwent World Patents Index database (DWPI) was used to acquire and study patent data. Thomson's patent analyses software TDA was used in measurement technology patents map analysis, paying attention to the technical focus and hot spots. In this paper, searching patent status of measurement from 2010 to 2014 by using professional tool DWPI and TDA, hot spots of patent application in measurement field were found. Considering multi parameters, such as patent application year, patent application country/region and measurement subdivisions, the development trends and hot spots of world patents of measurement analyzed, several proposals were put forward to improve the quality of China measurement patents.

Discover Patent existing concrete performance test technology at home and abroad in the field of analysis of the existing concrete performance test technical features, difficulties and trends, noted that the current domestic patent technology in concrete performance test encountered utilization, protection and disputes, high durability and lightweight concrete and avoid patent risk recommendations for the structure to adapt to the development of the next building needs and provide research and development of high strength.