Alcoholism or alcohol abuse and indulgence in alcohol is one of the most prevalent antisocial phenomena in young people and one of the main causes of their criminal behavior. Namely, there is an increasing tendency for young people to abuse and consume alcohol and to indulge in alcohol frequently as well as the incidence of committing criminal offenses by young people under the decisive influence of alcohol. The paper elaborates the criminal law aspects of protecting young people from alcoholism or alcohol abuse and points out problem of uneven and inadequate legislation in Bosnia and Herzegovina, and gives appropriate proposals for changes to existing solution in order to achieve better and more effective criminal law protection of young people from alcohol abuse.

Modern way of living, relieved by possibilities of new technologies, is benefit which humankind has in the 21st century, but big benefit could become negative side of technology improvements. Life without internet is unimaginable, and media gives its services through internet. Everything is easily available, immediately and everywhere. That advantage could produce negative consequences for users. Users always seek protection from the state, they do not know their rights and they are convinced that they do not have obligations. We hope that this brief review of legal framework of users’ rights and their protection in criminal jurisdiction sense will serve as a warning for users to think about all possible outcomes of their actions before they activate internet link. The state protects each citizen equally, but citizens have obligation to denounce all situations in which they notice deviation from acceptable treatment. That is the only way for efficient state action and way to protect others users from illegal treatment.

The popularity of railway transportation has been on the rise over the past decades, as it has been able to provide safe, reliable, and highly available service. The main challenge within this domain is to reduce the costs of preventive maintenance and improve operational efficiency. To tackle these challenges, one needs to investigate and provide new approaches to enable quick and timely data collection, transfer, and storage aiming at easier and faster analysis whenever needed. In this thesis, we aim at enabling the monitoring and analysis of collected signal data from a train propulsion system. The main idea is to monitor and analyze collected signal data gathered during the regular operation of the propulsion control unit or data recorded during the regular train tests in the real-time simulator. To do so, we have implemented a solution to enable train signal data collection and its storage into a .txt and .CSV file to be further analyzed in the edge node and in the future connected to the cloud for further analysis purposes. In our analysis, we focus on identifying signal anomalies and predicting potential failures using MathWorks tools. Two machine learning techniques, unsupervised and supervised learning, are implemented. Additionally, in this thesis, we have investigated ways of how data can be efficiently managed. We have also reviewed existing edge computing solutions and anomaly detection approaches using a survey as a suitable method to identify relevant works within the state of the art.