Probabilistic Approach and Fuzzy System Based Support of the Railway Stations’ Smart Security System

One of the keystones of the smart city is the transportation. The railway is the crucial part in the main public- and also the goods-transportation today, and the significance will be constantly growing. Nowadays the increase in threats and decrease in the sense of security generates a high need for designing smart and multi-level integrated security systems on the railway stations. The security risk of these territories has risen in the last years, because the public transportation plays an important role in the lives of nowadays people and will grow in the future. That means a rise in incidences of robbery, vandalism and even terrorism. The integration of the conventional systems gives more possibility and reliability for the facility management and the end-users to prevent the aforementioned incidences. The power of the complex (human-electrical-mechanical) system can be usable if in the central monitoring station only qualified and well trained operators work. Because of the difficulty of the multi-level integrated security systems, without suitable and well-trained users and operators the efficiency of the security decrease. Furthermore, the efficiency of the complex system can be lower than the unintegrated conventional realizations, so that’s why it is needed to integrate special smart functions. Managing the smart complex security systems on the aforementioned railway stations are difficult due the human factor and the large number of connections and internal processes. However, the recently created and improved probabilistic approach- and fuzzy system can be a useful mathematical solution for the aforementioned cases. These methods can be used in the full scaled security system, if first – like the Fuzzy logic – an expert level analysis gives enough information about the crucial parts of the system. With them comes the possibility to give and get data from the determined system, and continuously recalculate the factors and – in some cases – it can also be done online. It helps to generate and send prompt information to the facility management, and with it can maximize the fully functional operational efficiency and reduce the hazards. This article gives a useful guideline for the facility management of the smart cities’ railway stations. It declares the main connections with theirs hazards to find the key elements and the in-, and outbound parameters of the smart complex security system. The generated knowledge base will contain also more additional information about the efficiency and the improvement of the system, too

Fuzzy System Based Event Tree Analysis Support of the Smart Security System of Health Care Centers and Hospitals

One of the keystones of the smart city is the medical area. Health care centres and hospital building structures will change in smart cities, because of the increasing trend of in-day surgery procedures, smart bracelets, and additional wearable sensors, which give a better and more accurate possibility to make a diagnosis from a distance. It means that the functionality of medical centres and hospitals will constantly change, the number of bedridden places will decrease, research and development and IT areas will grow, and fast-medical areas will multiply. The result of the above-mentioned processes is that many more patients will be visiting the buildings near the high-security R&D and IT areas. This may result in an increased incidence of robberies, vandalism, and even terrorism, because of radioactive and psychoactive materials. The new concept of medical and health care centres of smart cities is a source of great difficulty for security systems. For patients, it is a good experience to enter a spacious friendly area without any restrictions, which can significantly reduce the stress factor and can give a healthier atmosphere, while the opposite of this means that nobody is allowed to enter the medical treatment and research area without authorization. Managing (financing, operating, developing, maintaining) smart complex security systems in the above mentioned medical and health care centres is difficult because of the human factor and a large number of connections and internal processes. However, the fuzzy system-based event tree analysis can be a useful mathematical solution to receive inbound values of the systems’ elements and the online prediction of the processes’ states. The continuous analysis of these factors and information provides facility management with a guideline about the current state of complex security systems. The optimal usage of procedures can maximize the fully functional operational efficiency and reduce hazards. This article gives a useful guideline for operating complex security systems of smart cities in medical health care centres and hospitals. It detects the main connections between their successes and hazards to find the key elements and the inbound and outbound parameters of the smart cities’ complex security system. The generated mathematical values provide additional information that could be used as an operational indicator of the whole smart city security system