WP1 continue to resolve the issue of process mining, process discovery, identification processes and behavioral profiling, creation of behavioral models and patterns and learning process with the creation of business process management system or decision support system. At the application level, the research confirmed that prior to the application of algorithms in the process mining it is desirable to apply the so-called pre-processing logs thus behavior mining that identifies cycles and parallelism. The aim of applying the results were models of IT tools, used in public administration and tools for processing big data. It has been proposed pilot testing processes for events in public administration and in relation to the life of the population.

Basic achievements

Thanks to the following research, the original algorithms of the generating processes were optimized so that they could use the proposed algorithms to capture the real processes of life in relation with eGovernment and its approach to a citizen

During the project they were developed some applications whose task was to collect location data of mobile devices and students involved in the project. Based on the output data the newly-designed intrusion detection and error with respect to practical use in mobile phones were optimized. The data continue to be collected over a wide range, but the obsolescence of extensive network of data sources naturally reduces the amount of data received on the basis of this research platform.

Basic achievements

Based on the collected data they were optimized predictive algorithms in order to know better evaluate and assume the position of a user with a lower error rate. In the same time were created the modules to use the model prediction for the purpose of application possibilities of Smart Life, such as in the use of transport hubs, environmental load, etc.

In the initial plan of research we considered to monitor network traffic thus packet inspection and in-depth packet inspection, and then proceed with adaptive evaluation of the cloud, to discover whether there is an attack or a coordinated attack on one or more smart phones. The laboratory tests showed that the monitoring of the only network traffic is not enough because the origin and the main reasons for sending data is not clear. Therefore, it was important to extend the initial investigation to determine causality in relation to the defined objectives of Smart Life and data management in the public sector in relation to the link with citizens through ICT resources (smart device, PC).

Basic achievements

The algorithms that recognize the origin and cause of data transfer were created and they were incorporated into the concepts of original applications and the methodology of implementation in citizens applications that been realized by the city so as to provide a secure and transparent data transfer

WP4 focused on creating biometric application which sought to recognize a person by the face image. While solving research tasks, it was found that a more accurate identification of individuals is necessary to apply complex algorithms to achieve better results, especially in raw conditions. That is also possible to use a new reference database as VGGfaces or LFW (Labeled Faces in the Wild) to train the algorithms. Further, detection can be extended to detect the quality of symptoms prior to the extraction. The biometric detection of the next stages of research will be based on inputs from sensory systems, with expanded focus not only on the visual part of the data, but also on other bio-signs, characteristic for a human being.

Basic achievements

The research in recent years in the field has shown that the application of advanced algorithms can effectively increase the percentage of biometric recognition systems. Another factor that helped to get better results is the availability of facial databases containing over a million of images. Thus it was possible to replace the originally proposed algorithms.

Currently, the public relies on intensive use of ICT and related data input. An integral part of the normal life of the inhabitants are sensory elements that affect the daily lives increasingly from transport to health. Within the years 2016-2018, the WP5 has continued in development of advanced materials and sensor components and systems that are useful in connecting to data networks based on the latest technologies of wireless transmission with low energy consumption and easy accessibility. The electronic ICT components research has been focused on functional properties, low energy consumption and data security which was taken into account at low hardware level. The development of advanced sensory data sources and platforms that aggregate data for use in everyday life of the inhabitants in towns and regions, presents a high value added solutions and their use for the needs of biometrics, health care, environment, intelligent building, automotive industry and other economically important sectors that they encounter on a daily basis. The orientation of further research on the Internet, which is considered one of the engines of ICT in the next decade is therefore strategically important, and the research topic for the use of Smart Life will continue to be intensively developed with partners.

Basic achievements

n the previous period they have been designed and implemented a new demonstrators with a focus on LPWAN and 4G networks, which will become a part of everyday life. A large amounts of data was transferred to the server and was processed to verify the accuracy of electronic systems (among others biometric systems, monitoring systems, environmental sensory systems, etc.) and the HW and SW means to ensure the security of sending data in a wide range of applications. The proposed applications have been adapted for use with mobile devices.