This paper reports on a design science research project aiming to develop a method to support business decision-making regarding IoT-enabled maintenance services for Original Equipment Manufacturers (OEMs). Often, these OEMs remain reluctant to make full use of recent advances in the Internet of Things (IoT), sensor technologies and data analytics for providing services on installed equipment with Asset Owners (AOs). These new developments allow them to advance on their servitization journeys from selling products to selling product-centered services. The method is based on System dynamics (SD), a powerful modeling methodology to capture all these complexities in an integral, coherent and visible manner with all stakeholders. It also allows for a quantitative analysis of the business case for "smart maintenance services". The paper describes servitization, smart (i.e. digitally enabled) maintenance services and then the method itself. A case study illustrates the application of the method for an OEM in the semiconductor industry.
One of the key issues in wireless sensor networks is to design efficient and secure group key agreement scheme. The Merkle identity tree is firstly introduced, then an efficient scheme based on Merkle identity tree is proposed. With this scheme, the direct and secure communications between any subgroups without retransmission could be implemented. The security of the scheme can be assured under the complexity assumptions. The detailed analysis of the initialization procedure, subgroup key agreement procedure, group communication procedure and rekeying procedure when membership changes, including joining and leaving, shows that the scheme is efficient in computation and communication cost.
Indoor air pollution is a serious problem that harms people's health. Indoor environment monitoring system could make contribution to detecting and improving indoor air quality. However, besides the high cost, the existing air quality detectors also get tricky problems with real-time monitoring and autonomous mobile which lead to a low practicability in most cases. Therefore this paper put forward an intelligent mobile indoor environment monitoring system based on Arduino's control using various sensors to detect air quality. The results showed that the data detected by our system got high positive correlation property with data from standard technical detecting apparatus and no obvious differences appeared. The system was more advanced and effective which could lead to great application value.
In order to providing the recent news, papers and patents for the enterprise and technical personnel who need this scientific intelligence, a software that offer information push service has been designed. The subscription number of WeChat platform is used to response users’ requests. The public API of platform is used to get users’ requests and push the customized messages to subscribers. The content of requests and responses are stored in MySQL database with the keywords that has been customized by subscribers. The proposed system is aim to offer a push service for enterprise and technical personnel, satisfies the requirements of pushing the customized scientific intelligence timely.
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