Purpose Public safety issues are highly concerned by the state and public. As an emerging network technology and industrial mode, Internet of Things (IoT) has great application prospect because of its architecture advantages and technical features, and has drawn wide attention from all walks of life. With the development of IoT, especially the putting forward of concept of public safety IoT, IoT has been a certain degree of application in the field of public safety. Because of that, public safety regulatory technology is improved. The paper aims to discuss this issue. Design/methodology/approach By summarizing scholars’ research results, this paper analyzes the application of IoT in public safety regulation, points out the challenges in application, and then puts forward some suggestions, pointing out IoT development prospects in the area of public safety regulation. Findings The application of IoT in the field of public safety from the perspective of IoT architecture and the perspective of the main technologies of IoT is paid attention. And this market that IoT added to other services in the public sector would generate $4.6 trillion of net profit globally in the next decade. Therefore, government leaders and public safety organizations should start exploring the full potential that IoT could offer to public safety. Originality/value The research will develop the theory of IOT, which is valuable to strengthen the IOT technology innovation and the application extension. The application of IOT in public safety will enhance the ability to supervise the public safety and guarantee the safe social condition for people’s life. So it is valuable in theory and in practice.
Purpose Cyber physical system (CPS) has attracted much attention from industry, government and academia due to its dramatic impact on society, economy and people’s daily lives. Scholars have conducted a number of studies on CPS. However, despite of the dynamic nature of this research area, a systematic and extensive review of recent research on CPS is unavailable. Accordingly, this paper conducts an intensive literature review on CPS and presents an overview of existing research on CPS. The purpose of this paper is to identify the challenges of studying CPS as well as the directions for future studies on CPS. Design/methodology/approach This paper examines existing literatures about CPS from 2006 to 2018 in Compendex, presenting its definition, architectures, characteristics and applications. Findings This study finds that CPS is closely integrated, diversified and large-scale network with complex multiple time scales. It requires dynamic reorganization/reconfiguration, mass computing, and closed, automated and control circuits. Currently, CPS has been applied in smart manufacturing, medical systems, smart city and smart libraries. The main challenges in designing CPS are to develop, to modify, to integrate abstractions and to set predictable timing of openness and physical interconnection of physical devices. Furthermore, security is a key issue in CPS. Originality/value This study adds knowledge to the existing literature of CPS by answering what the current level of development on CPS is and what the potential future research directions of CPS are.
The emphases of this study are Web log data preprocessing and collaborative filtering. Aiming at user session identification in the process of data preprocessing and analyzing existing algorithms, this paper established a Web log data preprocessing algorithm based on collaborative filtering. Detailed steps of algorithm and an experimental simulation were carried out. The results of the experiment indicated that the application of collaborative filtering in Web log data preprocessing could provide high-quality data for subsequent log mining. The application is feasible and effective.
It is theoretical and managerial significant to explore the determinants of retailers' decisions between a combined price structure and a partitioned price structure and the effect of their decisions on a manufacturer's product sales in competitive markets. Based on the structure–conduct–performance framework, we reveal that market structure‐related characteristics, such as the number of retailers, the degree of retailer differentiation, whether a dominant retailer in the market, and the number of product substitutes, significantly affect retailers' price structure decisions. Furthermore, more retailers adopting a combined price structure decrease the product sales, although the size of retailers mitigates this effect.
New energy market competition incentive, how to improve the product accurately, so as to attract consumers, will become the key point for enterprises to occupy the market. From the perspective of improving products, this paper constructs a review information dimension mapping theme emotion analysis model. Firstly, LDA model is used to extract the topic of comment information. Secondly, topic mapping is carried out on the comment information to get the correlation degree between each comment information and each dimension topic. Finally, the LSTM model is constructed for sentiment analysis, and the emotional intensity of consumers in each dimension theme is measured.
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