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This study examines the evaluation of telework through anonym questionnaire addressed to different conditional groups of 185 teleworkers in Romania. Through a correlation analysis between the variables, using SAS Enterprise Miner we obtained a relevant decision tree. The results suggest that there are differences in the evaluation of factors affecting work at home efficiency and the qualities required from a remote worker, depending on gender, age, education and experience of telework. The results are discussed in terms of the characteristics of the most satisfied and the most dissatisfied teleworkers perception.

Road pavement management and maintenance are responsible for a considerable amount of resources and energy consumption, with limited options to forecast due to the fact that projects have different sizes, are taking place in regions with various types of soil, landforms or types of distress. The objective of this paper is to offer a solution for risk management using Monte Carlo simulation by taking into consideration three key aspects for the management of any project: costs, time, quality and the most important road parameter, that may cause the failure of the project - type of road distress. As a module of PAV3M maintenance and management project, Risk3M application uses the Pavement Condition Index (PCI) and the Long-Term Pavement Performance Program (LTPP) in order to identify and classify risk based on the type of road distress, using a scale from 1 (very poor) to 5 (very good). The impact on costs (Rc), on risks depending on the time span (Rt) and on the overall quality of the project (Rq) where classified in a scale from 1 to 5. This paper uses Monte Carlo simulation procedures with evaluation of risk scales and type of road distress (PCI) and specifications of correlations between the simulated variables (Rc, Rt, Rq). [ABSTRACT FROM AUTHOR]

Risk management forecasts those situations that can damage the proposed goals or jeopardize the completion of projects in time. The aim of this paper is to highlight risk management tailored practices for pavement roads maintenance projects. All presented practices and risk management analysis are consistent with international standards, processes and assets. Present work also describes a particular analysis and prioritization of risk factors for their implementation in a web application. For risk mitigation we used the k-nearest neighbors (k-NN) algorithm, which is based on mathematical kernel density estimates nonparametric alternative method for reference class forecasting. This method helps project managers and planners to estimate durations in pavement management and maintenance systems and provides more realistic alternative dates and critical paths. [ABSTRACT FROM AUTHOR]

This paper describes an application that aims to monitor and stimulate physical activity adapted to elderly people. The application is implemented as a part of Mobile@Old platform. The specific exercises and the speed of the trainer is adapted to the user's movements. Health parameters like fatigue, respiratory rate, heart rate (HR), systolic blood pressure (BPS) and diastolic blood pressure (BPD) are recovered from the Kinect parameters or transmitted via the mobile application. The evaluations we made concern both those who wore the Kinect sensor and those who use the mobile version. [ABSTRACT FROM AUTHOR]