Extending RTA/Linux with fixed-priority scheduling with deferred preemption

Fixed-Priority Scheduling with Deferred Preemption (FPDS) is a middle ground between Fixed-Priority Pre-emptive Scheduling and Fixed-Priority Non-preemptive Scheduling, and offers advantages with respect to context switch overhead and resource access control. In this paper we present our work on extending the real-time operating system RTAI/Linux with support for FPDS. We give an overview of possible alternatives, describe our design choices and implementation, and verify through a series of measurements that indicate that a FPDS implementation in a real-world RTOS is feasible with minimal overhead

Trade-offs in the distribution of neural networks in a wireless sensor network

Proceedings of the 2005 Intelligent Sensors, Sensor Networks and Information Processing Conference2005259-26

Stress@Work: from measuring stress to its understanding, prediction and handling with personalized coaching

The title of the paper (pdf-file as well as metadata in ACM Digital) contains a small typo. Please do read "Stress@Work" instead of "Stess@Work". Abstract. The problem of job stress is generally recognized as one of the major factors leading to a spectrum of health problems. People with certain professions, like intensive care specialists or call-center operators, and people in certain phases of their lives, like working parents with young children, are at increased risk of getting overstressed. For instance, one third of the intensive care specialists in the Netherlands are reported to have (had) a burn-out. Stress management should start far before the stress starts causing illnesses. The current state of sensor technology allows to develop systems measuring physical symptoms reflecting the stress level. We propose to use data mining and predictive modeling for gaining insight in the stress effects of the events at work and for enabling better stress management by providing timely and personalized coaching. In this paper we present a general framework allowing to achieve this goal and discuss the lessons learnt from the conducted case study

Stress@Work: from measuring stress to its understanding, prediction and handling with personalized coaching

The title of the paper (pdf-file as well as metadata in ACM Digital) contains a small typo. Please do read "Stress@Work" instead of "Stess@Work". Abstract. The problem of job stress is generally recognized as one of the major factors leading to a spectrum of health problems. People with certain professions, like intensive care specialists or call-center operators, and people in certain phases of their lives, like working parents with young children, are at increased risk of getting overstressed. For instance, one third of the intensive care specialists in the Netherlands are reported to have (had) a burn-out. Stress management should start far before the stress starts causing illnesses. The current state of sensor technology allows to develop systems measuring physical symptoms reflecting the stress level. We propose to use data mining and predictive modeling for gaining insight in the stress effects of the events at work and for enabling better stress management by providing timely and personalized coaching. In this paper we present a general framework allowing to achieve this goal and discuss the lessons learnt from the conducted case study

Extending RTA/Linux with fixed-priority scheduling with deferred preemption

Fixed-Priority Scheduling with Deferred Preemption (FPDS) is a middle ground between Fixed-Priority Pre-emptive Scheduling and Fixed-Priority Non-preemptive Scheduling, and offers advantages with respect to context switch overhead and resource access control. In this paper we present our work on extending the real-time operating system RTAI/Linux with support for FPDS. We give an overview of possible alternatives, describe our design choices and implementation, and verify through a series of measurements that indicate that a FPDS implementation in a real-world RTOS is feasible with minimal overhead

Monitoring of critical assets

Sensors used in the MANTIS project must be able to measure the physical phenomenon relevant for the assets’ condition. Examples of this include temperature, light intensity, pressure, fluid flow, velocity, and force among others. Anyhow, it is not a trivial problem for a given installation, where an adequate measurement solution must be chosen or developed in order to accurately and robustly acquire data about the physical process related to each MANTIS use cases [Jantunen et al., 2017]. Another relevant matter is the cost of the monitoring solution. Industry is always aiming for cost savings and a better market positioning. Therefore, new technological solutions such as WSNs have become a strategic asset in this context, increasing the interest of the industrial companies. This type of sensor networks is used to share information with the purpose of increasing productivity, gathering data for developing future technological improvements and/or detecting/predicting maintenance issues. Moreover, even when a single sensor is considered instead of a WSN, the use of wireless communications provides flexibility, installation ease, weight reduction, which makes them suitable for many applications, conditions and situations. Industrial environments usually have hostile site conditions, both for the sensors themselves and for the wireless communication systems, and a section is devoted to the analysis of the issues and the solutions raising in these environments. Finally, a section is focused on the intelligent functions that can be offered by CPS, both to preprocess collected data and to support the CPS itself