Use of the Internet of Things in Public Governance for Law Enforcement and Inspection: The Case of Russia
The Internet of Things is being actively introduced in Russian public governance for inspection and oversight. In this chapter, based on an analysis of IoT policy, legal acts, secondary statistical data, and the authors’ own involvement in testing IoT technologies, we formulate cases and use them as a basis for an IoT classification oriented to the needs of government agencies. The spheres of application we consider are transport, justice, retail, and manufacturing. The case we study in greatest detail is that of the fur industry. We apply the method of cost–benefit analysis and examine the costs of using IoT in public governance to regulate the turnover of fur goods as well as the benefits for key stakeholders (government, society, business). We identify barriers that prevent IoT technology from being used effectively and describe the effects of implementing IoT in the fur industry and other areas in which IoT is used for inspection and oversight.
This paper discusses an important component of the radio frequency identification (RFID) system, namely, the RFID-tag and the bending effect on its electrodynamic parameters. The RFID tag was modeled and the following parameters were calculated: Scattering Coefficients (parameter S11), Voltage Standing Wave Ratio (VSWR), vertical and horizontal radiation patterns and total. The results of the work will allow optimizing the design of the RFID-tag in such a way as to achieve optimal quantitative indicators of electrodynamic parameters.
The article is concerned with the extremely urgent problem of goods counterfeiting and falsification, which has grown to a nation-wide scale. Methods to prove facts of counterfeiting and/or falsification of the products have been considered.
The paper considers the factors explaining violent pressure of law enforcement agencies on businessmen in Russia in recent years. This phenomenon has been analyzed from the viewpoint of “destructive entrepreneurship” concept (Baumol, 1990) and “limited access order” framework (North et al, 2009). The paper stresses the key role of economic and political organizations in defending entrepreneurs’ interests. It proposes a number of policy recommendations on incentive system design for law enforcement agencies and development of their public communications with business and civil society organizations.
This book presents a course of English for Specific Purposes devoted specifically to the widely-discussed topic Web 2.0. It covers several aspects of online communication ranging from online friendship to business interacions. The activities presented in the coursebook are aimed at developing students’ communicative competence in both written and oral discourse. Web 2.0 includes a variety of authentic articles that arouse interest and provoke discussions. It also presents listening texts based on professional podcasts. Most grammar and vocabulary activities are developed from authentic texts as well.
Web 2.0 can be used at the B2-C1 levels of Common European Famework. The coursebook will help learn and practice the target vocabulary. It will be relevant to those interested in the development of Information and Communication Technologies in general and the Internet in particular.
The patented device represents the smartwatches realized according to the concept "The Internet of things". Hours are capable to collect and process meteodata from the built-in sensors and also to notify the user on dynamics of their changes online, by means of a mobile application. In the device the unique design of the converter of tension is applied to power supply of gas-discharge indicators and the module of a wireless communication Wi-Fi allowing the device to combine in itself functions the Internet of things, hours and the weather station.
Hours are executed in vintage style thanks to six gas-discharge IN-14 indicators. In addition, design of hours was carried out at observance of standards in the field of IPI-technologies.
An important characteristic feature of recommender systems for web pages is the abundance of textual information in and about the items being recommended (web pages). To improve recommendations and enhance user experience, we propose to use automatic tag (keyword) extraction for web pages entering the recommender system. We present a novel tag extraction algorithm that employs semi-supervised classification based on a dataset consisting of pre-tagged documents and (for the most part) partially tagged documents whose tags are automatically mined from the content. We also compare several classification algorithms for tag extraction in this context.