2017 IEEE 19th Conference on Business Informatics
Low Power Wide Area Networks (LPWAN) is a new solution for the Internet of Things (IoT). This type of networks already has several specific implementations like LoRa, Sigfox, Weightless, RPMA and others. Due to long wireless range, low power consumption and numerous nodes low speed overlay networks can be organized on top of LPWAN. Small pieces of data like text messages, low-quality photographs, etc. can be sent over these overlays and can be of significant importance for emergency services. When organizing an overlay network over LPWAN it is important to meet the Quality of Service (QoS) requirements present in the base network to prevent malfunction of its services. This paper presents the results of experimental study of QoS metrics measurement in LoRaWAN networks.
Proceedings of the 8th IEEE Conference on Standardisation and Innovation in Information Technology (SIIT)
The article highlights the importance of personnel training for digital economy. A list of the most demanded soft skills necessary for future jobs in industrial sector has been formed according to the results of foreign and Russian research. The list includes complex problem-solving, social, process and systems skills, and cognitive abilities. The research conducted by the authors is focused on the soft skills formation and development, which is relevant both for employers and universities which train specialists. For training of the skills mentioned above such interactive forms of learning as case study, round table and computer business simulator are suggested. The article studies the experience of practical usage of each of these forms in the discipline of "Business Informatics" in bachelor's and master's degrees programs, gives some examples and specifics of application. By modeling the processes of interactive classes, the link has been established between the activities performed by students and certain skills formation. The specification of interactive activities has made it possible to work out a differentiated approach for formation of soft skills of the future and recommend such interactive forms of training students for their further development. In this case soft skills are formed in line with acquisition by students of competences stipulated by the educational standards of higher professional education
This volume contains a set of dedicated scientific contributions to the 11th International Conference on Perspectives in Business Informatics Research. The peer-reviewed and tentatively selected papers cover a broad scope of modern research in Business Informatics, and include new results in such domains as: Knowledge Management and Semantic Web, Business and information systems development, Business, people and systems interoperability and Business intelligence.
In 2012 the conference is hosted by National Research University Higher School of Economics (NRU HSE) in Nizhny Novgorod. Our university is Russia’s leader in the field of scientific research conducted at the junction of Management, Economics and Governance of IT. In particular, NRU HSE is the originator and the promoter of Business Informatics in Russia. Therefore NRU HSE pays particular attention to sustainable international cooperation and leverages scientific research in that area.
We strongly believe that materials presented will contribute to further advances in Business Informatics and will foster intensive scientific cooperation between researchers.
The purpose of this research article is to identify the key requirements of social collaboration solutions which could be used within the Smart commerce concept. The research aims to find what factors and features of social collaboration software are important to different categories of customers. The research also determines online promotion channels that increase the diffusion of social collaboration software. The result of the analysis shows the key factors of social collaboration software for customers. The most influential factors that affect the adopter’s decision are: Ease of use, Security, Price, and Design and Interface. The most useful online promotional channels for social collaboration software are: Search Engines, Official Websites and Blogs, Social Networks, and Email. Furthermore, the most valuable key-factors and online promotional channels are suggested to customers depending on their gender, age, level of innovativeness, type and size of their business.
Response to Peter Schaar (Chairman of the European Academy For Freedom of Information and Data Protection, former German Data Commissioner) about the incompatibility of the Internet and Big Data with Data protection. It declares that technological development has overtaken the policy-making process and applications according to web 3.0 are likely to be far more effective at piecing together personal data than even traditional search engines.
Computer systems have become an integral part of the modern business environment, ensuring a dominant role for Information Communication technologies (ICT) in enterprise activities. The way the global information infrastructure facilitates competition in business has created a new corporate culture for which information systems have become vital managerial components. Business Informatics is an interdisciplinary area, integrating computer science technology and business administration. For Russia Business Informatics is a new, but already well-known education area. For the first time such educational program has been launched in the University Higher School of Economics. The Faculty of Business Informatics (FBI) of the HSE was founded in 2002 as a part of e-Russia program to meet a great demand in the market for ICT-managers.
Heterogeneous multi-radio networks are emerging network architectures that comprise hierarchical deployments of increasingly smaller cells. In these deployments, each user device may employ multiple radio access technologies to communicate with network infrastructure. With the growing numbers of such multi-radio consumer devices, mobile network operators seek to leverage spectrum across diverse radio technologies, thus boosting capacity and enhancing quality of service. In this article, we review major challenges in delivering uniform connectivity and service experience to converged multiradio heterogeneous deployments. We envision that multiple radios and associated device/infrastructure intelligence for their efficient use will become a fundamental characteristic of future 5G technologies, where the distributed unlicensed-band network (e.g., WiFi) may take advantage of the centralized control function residing in the cellular network (e.g., 3GPP LTE). Illustrating several available architectural choices for integrating WiFi and LTE networks, we specifically focus on interworking within the radio access network and detail feasible options for intelligent access network selection. Both network- and user-centric approaches are considered, wherein the control rests with the network or the user. In particular, our system-level simulation results indicate that load-aware usercentric schemes, which augment SNR measurements with additional information about network loading, could improve the performance of conventional WiFi-preferred solutions based on minimum SNR threshold. Comparison with more advanced network-controlled schemes has also been completed to confirm attractive practical benefits of distributed user-centric algorithms. Building on extensive system-wide simulation data, we also propose novel analytical space-time methodology for assisted network selection capturing user traffic dynamics together with spatial randomness of multi-radio heterogeneous networks.
A model for organizing cargo transportation between two node stations connected by a railway line which contains a certain number of intermediate stations is considered. The movement of cargo is in one direction. Such a situation may occur, for example, if one of the node stations is located in a region which produce raw material for manufacturing industry located in another region, and there is another node station. The organization of freight traﬃc is performed by means of a number of technologies. These technologies determine the rules for taking on cargo at the initial node station, the rules of interaction between neighboring stations, as well as the rule of distribution of cargo to the ﬁnal node stations. The process of cargo transportation is followed by the set rule of control. For such a model, one must determine possible modes of cargo transportation and describe their properties. This model is described by a ﬁnite-dimensional system of diﬀerential equations with nonlocal linear restrictions. The class of the solution satisfying nonlocal linear restrictions is extremely narrow. It results in the need for the “correct” extension of solutions of a system of diﬀerential equations to a class of quasi-solutions having the distinctive feature of gaps in a countable number of points. It was possible numerically using the Runge–Kutta method of the fourth order to build these quasi-solutions and determine their rate of growth. Let us note that in the technical plan the main complexity consisted in obtaining quasi-solutions satisfying the nonlocal linear restrictions. Furthermore, we investigated the dependence of quasi-solutions and, in particular, sizes of gaps (jumps) of solutions on a number of parameters of the model characterizing a rule of control, technologies for transportation of cargo and intensity of giving of cargo on a node station.
Event logs collected by modern information and technical systems usually contain enough data for automated process models discovery. A variety of algorithms was developed for process models discovery, conformance checking, log to model alignment, comparison of process models, etc., nevertheless a quick analysis of ad-hoc selected parts of a journal still have not get a full-fledged implementation. This paper describes an ROLAP-based method of multidimensional event logs storage for process mining. The result of the analysis of the journal is visualized as directed graph representing the union of all possible event sequences, ranked by their occurrence probability. Our implementation allows the analyst to discover process models for sublogs defined by ad-hoc selection of criteria and value of occurrence probability
The geographic information system (GIS) is based on the first and only Russian Imperial Census of 1897 and the First All-Union Census of the Soviet Union of 1926. The GIS features vector data (shapefiles) of allprovinces of the two states. For the 1897 census, there is information about linguistic, religious, and social estate groups. The part based on the 1926 census features nationality. Both shapefiles include information on gender, rural and urban population. The GIS allows for producing any necessary maps for individual studies of the period which require the administrative boundaries and demographic information.
Existing approaches suggest that IT strategy should be a reflection of business strategy. However, actually organisations do not often follow business strategy even if it is formally declared. In these conditions, IT strategy can be viewed not as a plan, but as an organisational shared view on the role of information systems. This approach generally reflects only a top-down perspective of IT strategy. So, it can be supplemented by a strategic behaviour pattern (i.e., more or less standard response to a changes that is formed as result of previous experience) to implement bottom-up approach. Two components that can help to establish effective reaction regarding new initiatives in IT are proposed here: model of IT-related decision making, and efficiency measurement metric to estimate maturity of business processes and appropriate IT. Usage of proposed tools is demonstrated in practical cases.
This volume presents new results in the study and optimization of information transmission models in telecommunication networks using different approaches, mainly based on theiries of queueing systems and queueing networks .