Innovation networks effects simulation models

Abstract

In current conditions it becomes necessary to develop guidelines for development of the national innovation systems and assessing their role in sustainable national socioeconomic development. In the conditions innovation development strategies should be focused on ensuring the competitiveness of economic entities, which can be done through innovation networks. The study enhances academic understanding of the factors of innovation transformation based on innovation networks, designed to ensure the involvement of large number of agents to contribute to the implementation of structural changes. In this paper authors analyze the main indicators of innovation networks impact and investigate the main aspects of innovation networks effects simulation. The hypothesis of the study deals with the assumption that the innovation development of the economic system at the present stage, in addition to stimulating the innovative activity of existing entities, deals with the formation of network structures. This research addresses the indicators for networks modeling by developing and testing a series of points indicating how networks affect economic growth. The foregoing discussion has attempted to innovation networks innovation potential assessing methodology based on indicators of the quantitative composition and dynamics of innovation potential to substantiate the viability of this organizational form in developing sectoral policies and technological priorities has been developed. The developed economic and mathematical model of innovation management network leads us to the conclusion that allows predict changes and form a targeted impact on factors when creating new intersectoral structures in order to increase the volume of innovation products.

An Overview on Wireless Sensor Networks and Finding Optimal Location of Nodes

“…Sensor nodes send information to a central node that can evaluate position of each sensor node and then it will be informed to nodes about their positions. Application of this method is more to control and monitor traffic of roads, environments and health issues [13] [14][15] [16] [17]. In distributed localization method, position of each sensor node will be obtained independently and also localization of every node through the distance of that mentioned node will be measured and local information is identified through local neighbor nodes.…”

Building a general concept of analytical services for analysis of structured data

“…A freer division into layers allows the components of the layers to interact with the components of the same and all underlying layers. Also, thanks to this type of architecture, we achieve weak bonding between layers, since connections between them are based on abstractions and events [20]. Each layer encapsulates all the details and types of data necessary for the operation of the layer.…”

“…In this way, users can easily understand the data and, therefore, the right decisions can be made easily and accurately. Studying data using various graphs allows the human eye to easily find useful information, understand large data sets, determine significant patterns in the data, recognize outliers, and formulate hypotheses effectively [20]. Given a set of data with different properties, say that they have different spatial location, sales, ratings etc., it might be the case that there is information about the relationship between data point not obvious on inspection [21].…”

“…OLAP is a tool for analyzing large amounts of data. Interacting with the OLAP-system, the user will be able to perform a flexible review of information, receive arbitrary data slices and perform analytical operations of drill-down, convolution, pass-through distribution, the comparison in time [2] [20]. All work with the OLAP-system occurs in terms of the subject area.…”

Optimization of the System of Monitoring the Effectiveness of Venture Investments

“…In the age of high technology, it is impossible to imagine the development of technogenic thought without sound financial investments. In recent history, there are many examples of the development of entire scientific institutes and centres generated by the competent merger of great technical minds and effective management [1][2][3][4][5]. There are examples when small firms, as a result of a combination of investments and intellectual activity, turned into global companies.…”