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Wyświetlanie 1-2 z 2
Tytuł:
Technological Parks and the Innovation Activity of Enterprises in the Industrial Networks – Developed vs. Intermediate Regions
Autorzy:
Gorączkowska, Jadwiga
Powiązania:
https://bibliotekanauki.pl/articles/517361.pdf
Data publikacji:
2015
Wydawca:
Instytut Badań Gospodarczych
Tematy:
innovation
industry
technological parks
network
Opis:
Currently, technological parks constitute the most organisational and conceptually developed type of innovation centres and entrepreneurship. This results in the fact that they can be encountered in all highly developed countries in the world. They are also formed in the catching-up countries. However, one should consider whether the stimulation of innovation in the countries, which are not based on knowledge through institutional solutions used in the developed countries will turn out to be effective. Because between these countries there is a technological gap. The aim of the article was therefore to determine, using the probit modelling, the direction and strength of technological parks on the innovation activity. The study covered two provinces: Silesian, which is one of the most developed regions in Poland and Pomeranian with the intermediate industrial system. The influence of technological parks on innovation was determined based on the survey conducted in 1453 industrial enterprises. The main conclusions are brought down to the following theses: (1) using the technological parks increases the chance for the implementation of new solutions by enterprises, (2) parks to a greater extent stimulate the innovation activity in the developed province, (3) enterprises entering in the cross-regional network relations favours the selection of the technological park as the catalyst for innovation processes.
Źródło:
Equilibrium. Quarterly Journal of Economics and Economic Policy; 2015, 10, 2; 137-156
1689-765X
2353-3293
Pojawia się w:
Equilibrium. Quarterly Journal of Economics and Economic Policy
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Risk assessment for industrial control systems quantifying availability using mean failure cost (MFC)
Autorzy:
Chen, Q.
Abercrombie, R. K.
Sheldon, F. T.
Powiązania:
https://bibliotekanauki.pl/articles/91644.pdf
Data publikacji:
2015
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
Industrial Control Systems
ICS
SCADA systems
industry
data acquisition
supervisory control
IT network
mean failure cost
MFC
security
risk assessment
systemy automatyki przemysłowej
systemy SCADA
przemysł
pozyskiwanie danych
sprawowanie nadzoru
sieć IT
bezpieczeństwo
ocena ryzyka
Opis:
Industrial Control Systems (ICS) are commonly used in industries such as oil and natural gas, transportation, electric, water and wastewater, chemical, pharmaceutical, pulp and paper, food and beverage, as well as discrete manufacturing (e.g., automotive, aerospace, and durable goods.) SCADA systems are generally used to control dispersed assets using centralized data acquisition and supervisory control. Originally, ICS implementations were susceptible primarily to local threats because most of their components were located in physically secure areas (i.e., ICS components were not connected to IT networks or systems). The trend toward integrating ICS systems with IT networks (e.g., efficiency and the Internet of Things) provides significantly less isolation for ICS from the outside world thus creating greater risk due to external threats. Albeit, the availability of ICS/SCADA systems is critical to assuring safety, security and profitability. Such systems form the backbone of our national cyber-physical infrastructure. Herein, we extend the concept of mean failure cost (MFC) to address quantifying availability to harmonize well with ICS security risk assessment. This new measure is based on the classic formulation of Availability combined with Mean Failure Cost (MFC). The metric offers a computational basis to estimate the availability of a system in terms of the loss that each stakeholder stands to sustain as a result of security violations or breakdowns (e.g., deliberate malicious failures).
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2015, 5, 3; 205-220
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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