The objectives of this task are to conduct research on seismic hazards, and provide relevant input on the expected levels of these hazards to other tasks. Other tasks requiring this input include those dealing with inventory, fragility curves, rehabilitation strategies and demonstration projects. The corresponding input is provided in various formats depending on the intended use: as peak groun...

Industrial robots are used in many diferent felds of application: from huge welding production lines for automobiles to assembly tasks in Small and Medium-sized Enterprises (SMEs). Such robot systems require specially trained employees, who know how to program these robots and how to teach them new tasks using TeachPads and specifc programming languages like KRL (Kuka) or RAPID (ABB). Programmi...

People can now connect instantly via nearly ubiquitous broadband connections, enabling interactive computational systems that are no longer constrained to machine-based automation alone. Instead, they can work in concert with the ondemand labor of people available on the web (the crowd), recruited on-demand and working synchronously together to complete tasks in real-time. The resulting model r...

Tasks performed on machine translation (MT) output are associated with input text types such as genre and topic. Predictive Linguistic Assessments of Translation Output, or PLATO, MT Evaluation (MTE) explores a predictive relationship between linguistic metrics and the information processing tasks reliably performable on output. PLATO assigns a linguistic signature, which cuts across the task-b...

Sequence-to-sequence models have achieved impressive results on various tasks. However, they are unsuitable for tasks that require incremental predictions to be made as more data arrives or tasks that have long input sequences and output sequences. This is because they generate an output sequence conditioned on an entire input sequence. In this paper, we present a Neural Transducer that can mak...

| This paper describes the unrolling of loops with indeterminate loop counts in system level pipelines. Two methods are discussed in this paper. The rst method is the varied latency method, where the input is blocked until the pipeline is clear. This variation in the input arrival time gives rise to the name. In this method the output will be in the same order as the input. The second method, c...

People tend to improve their abilities to reason about situations by amassing experiences in reasoning. Resorting to previous instances of similar situations for guidance is known as case-based reasoning. This paper presents JUDGE, a computer model of judges who sentence criminals. The task is viewed as one in which people learn empirically from the process of producing relative assessments of ...

introduction: at the end of their education, nursing students have to acquire the minimum capabilities, essential for their professional job. the aim of this study was to determine the achievement of minimum learning requirements by midwifery students in school of nursing and midwifery of isfahan university of medical sciences. methods: a descriptive study as an educational evaluation based on ...

Marco Speicher German Research Institute for Artificial Intelligence (DFKI) Saarbrücken, Germany [email protected] Abstract In the last years 3D is getting more and more popular. Besides the production of an increasing number of movies for 3D stereoscopic cinemas and television, serious steps have also been undertaken in the field of 3D gaming. While the devices are market ready, few solut...

Large-scale scientific workflows are often characterized by tasks that produce or consume large amounts of data (frequently both) and generate large volumes of derived data products. Minimizing the end-to-end running time of a set of workflow tasks is important to deliver data products in a timely manner and free up processors to accomodate additional workflows. A single workflow task may perfo...