Deep learning oriented named entity recognition (DNER) has gradually become the paradigm of knowledge discovery, which greatly promotes domain intelligence. However, activation function DNER fails to treat gradient vanishing, no negative output or non-differentiable existence, may impede exploration due omission and incomplete representation latent semantic. To break through dilemma, we present...

Since the 1985 release of methyl isocyanate in Bhopal, India, which killed thousands, the chemical industry has begun to use process hazard analysis techniques more widely to protect the public from catastrophic chemical releases. These techniques can provide a systematic method for evaluating a system design to ensure that it operates as intended, help identify process areas that may result in...

Hybrid systems like computer-controlled chemical plants are typical safety critical distributed systems. In present practice, the safety of hybrid systems is guaranteed by hazard analysis which is performed according to procedures (e.g., HazOp) where experts discuss a series of informal argumentations. Each argumentation considers a specific required system property. Formal property proofs can ...

In recent years, a great number of datasets were published to train and evaluate computer vision (CV) algorithms. These valuable contributions helped to push CV solutions to a level where they can be used for safetyrelevant applications, such as autonomous driving. However, major questions concerning quality and usefulness of test data for CV evaluation are still unanswered. Researchers and eng...

Recent advances in robotics technologies have opened multiple opportunities for the use of robots to support various activities of our daily life and to interact with humans in different ways. In such contexts, it is crucial to identify potential threats related to physical human-robot interactions and to assess the associated risks that might affect safety and dependability. Because of the com...

This paper aims to use quantitative risk analysis, risk modelling and simulation modelling tools to assess the performance of a proprietary single house grey water recycling system. A preliminary Hazard and Operability study (HAZOP) identified the main hazards, both health related and economic, associated with installing the recycling system in a domestic environment. The health related consequ...

Project cost estimation in the bidding process is a critical concern for the competitiveness and profitability of an engineering and contracting company. Estimates which diverge as little as possible from actual costs have to be made on the basis of relatively limited information. Of the macro-items contributing to the overall cost of a plant project, those linked to engineering activities have...