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Because of the inherent complexity of urban brownfield regeneration projects, achieving sustainability objectives is not easy. It requires approaches adapted to the specificities of this type of operation, that allow for structured and regular follow-up, and that are integrated into the project dynamics. In this chapter, we argue that sustainability monitoring can help address this challenge. We start by defining the principles of sustainability evaluation and monitoring. Then, we look deeper at the challenges of an operational monitoring tool from the brownfield regeneration perspective. On this basis, we plead for the necessity of tailor-made operational monitoring tools for this type of operation and define, to this end, three general requirements for said tools. Finally, we make a critical analysis of existing certifications at the neighbourhood scale and different approaches developed for brownfield regeneration projects.

Next activity prediction is one of the most important problems concerning the operational monitoring of processes, that is, supporting the user in predicting the activity that will be executed as the next step during process execution. However, traditional algorithms do not cope with the presence of parallel activities, thus failing to devise accurate prediction of multiple parallel activities that will be simultaneously executed. Moreover, they often require a trace alignment pre-processing step, which can be infeasible during process executions. In this paper, we propose the ParallAct methodology, in which multi-target regression is used to predict the next parallel activities in event logs without the need of aligning traces during process executions. Experimental results show that the proposed solution achieve more accurate predictions compared to the single-target setting.

This paper describes the approach followed to perform an automatic load monitoring during yarding activities. The goal of this methodology is the weight assessment of the loaded biomass during the inhaul phase in cable logging operations. The approach is based on the development of dedicated mathematical models that assessing the skyline deflection, tension, and slope permit to estimate the hauled load through an indirect approach. To carry out this experience an in-scale standing skyline system with single-span was set-up. The experiment was conducted at 0%, 10% and 20% of slope, respectively, and the skyline deflection was measured during travels with 0, 5, 10, 20, 30 and 40 kg of fully suspend loads. Besides these, the assessment was performed at mounting tensions of 10 and 100 kg. According to the different estimative models and the operative context, the collected results showed a difference between the estimated load and the reference one lower than 20% in terms of mass. In conclusion is possible to affirm that the proposed approach can be a suitable compromise for the indirect estimation of timber during fully suspended yarding operations.

The distinctive features and key areas of analytical tools application for the operational monitoring and security analysis of cyber-physical systems of critical information infrastructure are highlighted. Problems of applying data analytics methods and technologies to ensure the security of cyber-physical systems at enterprises of the fuel and energy industries are described. The architectural solutions of the advanced security analytics platform are proposed. The chapter discusses the use of data analysis methods and technologies to ensure the security of cyber-physical systems at enterprises of the fuel and energy complex. Identified the distinctive features and highlighted the key areas of application of analytical tools of the system of operational monitoring and security analysis of cyber-physical systems of critical information infrastructure. Problem questions are formulated, the possibilities and limitations of advanced analytics tools in solving the tasks of ensuring the security of cyber-physical systems at the enterprises of the fuel and energy complex are defined. Architectural solutions of the advanced cybersecurity analytics platform are described. The presented results are based on the analysis of information from open sources: materials of scientific-practical conferences, analytical and technical reviews on the subject of security of industrial systems, and generalization of practical experience in the development, implementation, and support of integrated security systems at enterprises of the fuel and energy complex.

This article is focused on the FIRESAT methodology developed for and funded by the Protezione Civile of the Basilicata Region. The fire monitoring system is based on satellite free of charge data and developed for the dynamic estimation of vegetation fire susceptibility and fire impact in forest and non-forestry ecosystems. The purpose of this fire risk system is the timely (daily) and detailed (from 1 km down to 30 m) monitoring of the vegetation and meteorological conditions which can affect the proneness of vegetation to fire. FIRESAT provides operational monitoring tools for a systematic forest fire management from risk estimation to fire severity mapping, including the estimation of fire damage on hydro-geological risk and vegetation fire resilience.

Slovakia is located in the Central Europe, and its complex surface consists of mountains, valleys, but also lowlands, which are crucial for agricultural production. In the neighbouring countries, especially in Hungary and the Czech Republic, there has been paid great attention to drought occurrence for a longer time. In Slovakia, hydrological drought assessment was more often under investigation than the meteorological aspect of the drought in the past. The regionally developed methods were primarily used for its estimation, while the internationally established indicators were rarely applied. In the last years, the drought became to be discussed more frequently in the Slovak climatology, which led to the start of operational drought monitoring in Slovakia in 2015. Drought periods, which occurred in the last years and caused also yield losses in agriculture, raised the interest of the public and experts from different economic sectors in this phenomenon. The intersectoral approach seems to be the crucial way of further drought research.