We present a question answering system architecture which processes natural language questions in a pipeline consisting of five steps: i) question parsing and query template generation, ii) lookup in an inverted index, iii) string similarity computation, iv) lookup in a lexical database in order to find synonyms, and v) semantic similarity computation. These steps are ordered with respect to th...

Pipelining is a common method for improving the throughput of a system, especially when the majority of the processing is sequential. Unfortunately when the sequentiality is broken, a pipelined system suffers additional delay and, most importantly for this work, energy waste which is roughly proportional to the pipeline depth. Standard pipelines cannot be modified once they are built so their d...

One of tasks of the BioCreative IV competition, the CHEMDNER task, includes two subtasks: CEM and CDI. We participated in the later subtask, and developed a CEM recognition system on the basis of CRF approach and some open-source NLP toolkits. Our system processing pipeline consists of three major components: pre-processing (sentence detection, tokenization), recognition (CRF-based approach), a...

The analysis of raw data in neuroimaging has become a computationally entrenched process with many intricate steps run on increasingly larger datasets. Many software packages exist that provide either complete analyses or specific steps in an analysis. These packages often possess diverse input and output requirements, utilize different file formats, run in particular environments, and have lim...

Submarine pipelines failures lead to oil spills in water and may even lead to explosions with heavy financial and environmental damages. Trawl gear is one of the main factors in the failure of the submarine pipelines. In this paper, sensitivity analysis is performed on influence of height and span length alternations on the response of pipeline against the traction caused by trawling pull-over ...

this project describes the steps to process a Bayer raw sensor output image which is noisy, undersampled, and blurred. The final output is a de-noised, de-blurred, and upsampled version of the input image. Some of the in-between steps include lens shading correction, color balancing, demosaicing, color correction, etc. Keywords—raw image ; deblurring ; denoising ; image deconvolution ;

The support for automation of the annotation process of large corpora of digital content is crucial for the success of semanticaware services in the digital library domain. In this paper we first present and discuss an information extraction pipeline from digital document acquisition to information extraction, processing and management. Such information pipeline is divided in a number of operat...

OpenCL adoption in the High Performance Computing, entertainment and scientific computing markets continues to grow. The flexibility and portability of OpenCL make it an excellent platform upon which to develop image processing applications. However, OpenCL has not yet been applied to the hardcopy printer and Multi-Function Printer, MFP, markets. The printer/MFP markets traditionally use full c...

This paper presents experimental performance results for a parallel pipeline STAP system with I/O task implementation. In our previous work, a parallel pipeline model was designed for radar signal processing applications on parallel computers. Based on this model, we implemented a real STAP application which demonstrated the performance scalability of this model in terms of throughput and laten...

Real-time text processing systems are required in many domains to quickly identify patterns, trends, sentiments, and insights. Nowadays, social networks, e-commerce stores, blogs, scientific experiments, and server logs are main sources generating huge text data. However, to process huge text data in real time requires building a data processing pipeline. The main challenge in building such pip...