Spartan Daily, December 8, 2003

Volume 121, Issue 67https://scholarworks.sjsu.edu/spartandaily/9933/thumbnail.jp

Spartan Daily, December 8, 2003

Volume 121, Issue 67https://scholarworks.sjsu.edu/spartandaily/9933/thumbnail.jp

Spartan Daily, December 8, 2003

Volume 121, Issue 67https://scholarworks.sjsu.edu/spartandaily/9933/thumbnail.jp

What use is music in an ocean of sound? Towards an object-orientated arts practice

What Use is Music in an Ocean of Sound? is a reflective statement upon a body of artistic work created over approximately five years. This work, which I will refer to as "object- orientated", was specifically carried out to find out how I might fill artistic spaces with art objects that do not rely upon expanded notions of art or music nor upon explanations as to their meaning undertaken after the fact of the moment of encounter with them. My drive to create these objects was fuelled by a reaction against the work of other practitioners that I felt did not fulfil these criteria and lacked the self-awareness required to appreciate the cultural context within which it is produced. The title of this thesis is metaphorical and refers to the idea that cultural production is no use if it is not distinct from that which surrounds it. My practice is an attempt to produce objects that are self-consciously and self-reliantly distinct. It is no use for anything other than that

A Comparative Performance Evaluation of Hive and Map Reduce for Big-Data

Advances in information stockpiling and mining advances make it conceivable to safeguard expanding measures of information created specifically or in a roundabout way by clients and break down it to yield important new bits of knowledge. Huge information can uncover individuals' shrouded behavioral examples and even revealed insight into their expectations. All the more absolutely, it can overcome any and all hardships between what individuals need to do and what they really do and how they connect with others and their surroundings. This data is valuable to government offices and in addition privately owned businesses to bolster choice making in zones going from law requirement to social administrations to country security. One of the proficient advancements that arrangement with the Big Data is Hadoop, which will be talked about in this paper. Hadoop, for preparing extensive information volume employments utilizes MapReduce programming model. Hadoop makes utilization of diverse schedulers for executing the occupations in parallel. The default scheduler is FIFO (First In First Out) Scheduler. Different schedulers with need, pre-emption and non-pre-emption alternatives have likewise been produced. As the time has passed the MapReduce has come to few of its restrictions. So keeping in mind the end goal to beat the constraints of MapReduce, the up and coming era of MapReduce has been produced called as YARN (Yet Another Resource Negotiator). Along these lines, this paper gives a review on Hadoop, few booking strategies it uses and a brief prologue to YARN. Keywords: Big-Data, Hive, Map Reduc

POLARIS: A 30-meter probabilistic soil series map of the contiguous United States

A newcomplete map of soil series probabilities has been produced for the contiguous United States at a 30mspatial resolution. This innovative database, named POLARIS, is constructed using available high-resolution geospatial environmental data and a state-of-the-art machine learning algorithm (DSMART-HPC) to remap the Soil Survey Geographic (SSURGO) database. This 9 billion grid cell database is possible using available high performance computing resources. POLARIS provides a spatially continuous, internally consistent, quantitative prediction of soil series. It offers potential solutions to the primary weaknesses in SSURGO: 1) unmapped areas are gap-filled using survey data from the surrounding regions, 2) the artificial discontinuities at political boundaries are removed, and 3) the use of high resolution environmental covariate data leads to a spatial disaggregation of the coarse polygons. The geospatial environmental covariates that have the largest role in assembling POLARIS over the contiguous United States (CONUS) are fine-scale (30 m) elevation data and coarse-scale (~2 km) estimates of the geographic distribution of uranium, thorium, and potassium. A preliminary validation of POLARIS using the NRCS National Soil Information System (NASIS) database shows variable performance over CONUS. In general, the best performance is obtained at grid cells where DSMART-HPC is most able to reduce the chance of misclassification. The important role of environmental covariates in limiting prediction uncertainty suggests including additional covariates is pivotal to improving POLARIS\u27 accuracy. This database has the potential to improve the modeling of biogeochemical, water, and energy cycles in environmental models; enhance availability of data for precision agriculture; and assist hydrologic monitoring and forecasting to ensure food and water security

The Next Wave of Nomadic Computing: A Research Agenda for Information Systems Research

A nomadic information environment is a heterogeneous assemblage of interconnected technological and organizational elements, which enables physical and social mobility of computing and communication services between organizational actors both within and across organizational borders. We analyze such environments based on their prevalent features of mobility, digital convergence, and mass scale. We describe essential features of each in more detail and characterize their mutual interdependencies. We build a framework, which identifies research issues in nomadic information environments at the individual, the team, the organizational, and inter-organizational levels, comprising both service and infrastructure development. We assess the opportunities and challenges for research into each area at the level of design, use and adoption, and impacts. We conclude by discussing challenges posed by nomadic information environments for information systems field to our research skills and methods. These deal with the need to invent novel research methods and shift research focus, the necessity to question the divide between the technical and the social, and the need to better integrate developmental and behavioral (empirical) research modes