In this paper, fuzzy logic integrated with the Taguchi method is used to optimize Wire Electro Discharge Machining (WEDM) process with multiple quality characteristics. Rough machining with EDM gives poor surface finish and has micro cracks and pores. Finish machining gives better surface finish but with very poor machining speed (MRR). Spark gap width is one of the important performance measur...

Manufacturing industry faces new challenges with the emergence of need for production small batches personalized parts. Such methods demand a capability to integrate multiple machining operations in one manufacturing process reduce setup and calibration time tooling costs. This requirement is especially challenging difficult-to-machine materials such as glass, since there exist only limited num...

The ef®ciencies of methods employed in solution of building simulation models are considered and compared by means of benchmark testing. Direct comparisons between the Simulation Problem Analysis and Research Kernel (SPARK) and the HVACSIM‡ programs are presented, as are results for SPARK versus conventional and sparse matrix methods. An indirect comparison between SPARK and the IDA program is ...

Apache Spark is one of the most widely used open source processing engines for big data, with rich language-integrated APIs and a wide range of libraries. Over the past two years, our group has worked to deploy Spark to a wide range of organizations through consulting relationships as well as our hosted service, Databricks. We describe the main challenges and requirements that appeared in takin...

Big Data has long been the topic of fascination for Computer Science enthusiasts around the world, and has gained even more prominence in the recent times with the continuous explosion of data resulting from the likes of social media and the quest for tech giants to gain access to deeper analysis of their data. This paper discusses two of the comparison of Hadoop Map Reduce and the recently int...

For a measurement matrix in compressed sensing, its spark (or the smallest number of columns that are linearly dependent) is an important performance parameter. The matrix with spark greater than 2k guarantees the exact recovery of ksparse signals under an l0-optimization, and the one with large spark may perform well under approximate algorithms of the l0-optimization. Recently, Dimakis, Smara...

This paper introduces GeoSpark an in-memory cluster computing framework for processing large-scale spatial data. GeoSpark consists of three layers: Apache Spark Layer, Spatial RDD Layer and Spatial Query Processing Layer. Apache Spark Layer provides basic Spark functionalities that include loading / storing data to disk as well as regular RDD operations. Spatial RDD Layer consists of three nove...

The limited fossil fuel resources along with the increased public concerns about pollution levels have increased the need for alternative fuels for use in internal combustion engines. This study is to investigate the variation of the engine performance and exhaust emissions of a spark ignition engine. A spark ignition engine running with gasoline and gasoline blended E5, E10 and E20. Effects of...

Spark has emerged as an easy to use, scalable, robust and fast system for analytics with a rapidly growing and vibrant community of users and contributors. It is multipurpose—with extensive and modular infrastructure for machine learning, graph processing, SQL, streaming, statistical processing, and more. Its rapid adoption therefore calls for a performance assessment suite that supports agile ...