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In this work a material model for hardening development in sheet metals during forming processes involving loading path changes is formulated. In particular, such hardening development is due to the formation and interaction of dislocation microstructures in the material, resulting in an evolution in the size, center and shape of the yield surface. Such yield surface evolution is accounted for in
Human safety and health, environmental and property protection and security concerning hazardous materials supply chain are important issues for many countries, industries and organisations around the world. This paper presents some key results of a comprehensive risk study on hazardous materials supply chain incidents. Based on a risk analysis framework adapted for mari-time transport of packaged
This article aims at introducing to a wider circle a complementary research approach in user oriented work. Its most fundamental part is the use of technology as a tool for capturing the needs, wishes and dreams of a user. The incitement for us to start developing this method was an experience based, serious, questioning of conventional methods such as interviews, questionnaires, etc, and their c
The incidence and prevalence of heart failure (HF) has increased successively over the past decade. Mortality and morbidity is high. It is the most common cause of hospitalisation in the elderly and has been estimated to account for 1-3% of health care costs in many countries. There is a need therefore, to improve care for HF patients. However, due to limited economic resources, this must be done
The paper considers the implementation of digital controllers as real-time tasks in priority-preemptive systems. The performance of a digital feedback control system depends critically on the timing of its sampling and control actions. It is desirable to minimize the computational delay in the controller, as well as the sampling jitter and the control jitter. It is shown that by scheduling the two
In many fMRI task-evoked studies, localized brain activity can be detected by GLM fitting and statistical hypothesis testing. Statistical parametric mapping (SPM) is the classical method that requires Gaussian pre-smoothing of the data. Instead, the wavelet transform provides a compact representation of activation patterns. Wavelet based SPM (WSPM) is an extension of SPM that combines wavelet proc
Wittgenstein once made a distinction between two uses of "I". The first use, as object, as in "I have broken my arm" or "The wind is blowing in my hair", involves the recognition of a particular person, and there is the possibility of error concerning the identity of the person. In the other use, as subject, as in "I think it will rain" or "I am trying to lift my arm", no person is recognised. No
We propose a depth cache that keeps the depth data in compressed format, when possible. Compared to previous work, this requires a more flexible cache implementation, where a tile may occupy a variable number of cache lines depending on whether it can be compressed or not. The advantage of this is that the effective cache size increases proportionally to the compression ratio. We show that the dep
