The document discusses the SATYSFI Conf 2021 conference which will take place on June 26, 2021. It provides details on recent updates to the SATYSFI typesetting system including the addition of linear-transform-graphics, improvements to page breaking for multicolumn content, and adding debugging information for overfull/underfull boxes. Version 0.0.6, 0.0.7, and planned future updates are summarized. The document also discusses using domain specific languages for describing typesetting definitions and structures and provides examples using amidakuji diagrams.
String Comparison Surprises: Did Postgres lose my data?Jeremy Schneider
Comparisons are fundamental to computing - and comparing strings is not nearly as straightforward as you might think. Come learn about the history, nuance and surprises of “putting words in order” that you never knew existed in computer science, and how that nuance impacts both general programming and SQL programming. Next, walk through a few actual scenarios and demonstrations using PostgreSQL as a user and administrator, which you can re-run yourself later for further study, including one way you could easily corrupt your self-managed PostgreSQL database if you aren't prepared. Finally we’ll dive into an explanation of the surprising behaviors we saw in PostgreSQL, and learn more about user and administrative features PostgreSQL provides related to localized string comparison.
String Comparison Surprises: Did Postgres lose my data?Jeremy Schneider
Comparisons are fundamental to computing - and comparing strings is not nearly as straightforward as you might think. Come learn about the history, nuance and surprises of “putting words in order” that you never knew existed in computer science, and how that nuance impacts both general programming and SQL programming. Next, walk through a few actual scenarios and demonstrations using PostgreSQL as a user and administrator, which you can re-run yourself later for further study, including one way you could easily corrupt your self-managed PostgreSQL database if you aren't prepared. Finally we’ll dive into an explanation of the surprising behaviors we saw in PostgreSQL, and learn more about user and administrative features PostgreSQL provides related to localized string comparison.
Hadoop con 2016_9_10_王經篤(Jing-Doo Wang)Jing-Doo Wang
With the state-of-the-art computation mode, Map&Reduce,
This talk will present a novel approach to speed up the computation of extracting maximal repeats from tagged sequences and meanwhile computing the class frequency distribution of these repeats. An USA patent based on above approach is being applied as "Wang, Ching-Tu. Method for Extracting Maximal Repeat Patterns and Computing Frequency Distribution Tables. Patent Application Serial Number 15/208,994. 13 July 2016."
5th in the AskTOM Office Hours series on graph database technologies. https://devgym.oracle.com/pls/apex/dg/office_hours/3084
PGQL: A Query Language for Graphs
Learn how to query graphs using PGQL, an expressive and intuitive graph query language that's a lot like SQL. With PGQL, it's easy to get going writing graph analysis queries to the database in a very short time. Albert and Oskar show what you can do with PGQL, and how to write and execute PGQL code.
Future features for openCypher: Schema, Constraints, Subqueries, Configurable...openCypher
Presented at the First openCypher Implementers Meeting in Walldorf, Germany, February 2017 @ http://www.opencypher.org/blog/2017/03/31/first-ocim-blog/
Many practical computing problems concern large graphs.
Standard examples include the Web graph and various social
networks. The scale of these graphs—in some cases billions
of vertices, trillions of edges—poses challenges to their
efficient processing. In this paper we present a computational
model suitable for this task. Programs are expressed
as a sequence of iterations, in each of which a vertex can
receive messages sent in the previous iteration, send messages
to other vertices, and modify its own state and that of
its outgoing edges or mutate graph topology. This vertexcentric
approach is flexible enough to express a broad set of
algorithms. The model has been designed for efficient, scalable
and fault-tolerant implementation on clusters of thousands
of commodity computers, and its implied synchronicity
makes reasoning about programs easier. Distributionrelated
details are hidden behind an abstract API. The result
is a framework for processing large graphs that is expressive
and easy to program.
NECSTLab works with Machine Learning models and systems in a variety of ways. While some projects use known ML models within their target application for prediction, other projects accelerate prediction via FPGA or on cloud environments.
In the "STeEl" research line, two works use ML models. "Behaviors Identification in Social Individuals" (from G. Muscioni) uses an XGBoost model to identify group of baboons with similar behaviour. Similarly, SeNSE (from P. Cancian et al.) evaluates SVM- and Long-Short Term Memory-based classifiers to translate information from brain signals into gestures, in order to enable designing cheap human-hand prosthesis.
The DReAMS research line targets both embedded and server-class systems. For the embedded world, the project "Deep Learning on PYNQ" (from L. Stornaiuolo) enables parallel access to data via a dedicated core based on the Polimorphic Register File; among other applications, parallel access is especially important for Neural Network models to gather weights and inputs. Instead, SpiNN is a project in the early stages that attempts to simulate neurons with Spiking Neural Network, with a Reinforcement-Learning-based approach. For server-class applications, CONDOR (from N. Raspa, M. Bacis, G. Natale) provides a pre-packaged, tunable IP to deploy Convolutional Neural Networks to FPGAs. CONDOR employs a generic, parameterised architecture to describe the various CNN layers, easing the exploration of performance/area trade-offs with the goal of automatising it in the future.
Finally, in the ORCA research line, PRETZEL accelerates ML inference in cloud settings. PRETZEL (from Y. Lee, A. Scolari, M. Interlandi et al.) challenges the convenient black box approach of deploying ML models in order to gather more information about the models. Since different models can have much state and code in common, PRETZEL relies on these common data to enable memory saving and code optimisations, improving the inference latency and the throughput metrics.
Leveraging Multiple GPUs and CPUs for Graphlet Counting in Large Networks Ryan Rossi
Massively parallel architectures such as the GPU are becoming increasingly important due to the recent proliferation of data. In this paper, we propose a key class of hybrid parallel graphlet algorithms that leverages multiple CPUs and GPUs simultaneously for computing k-vertex induced subgraph statistics (called graphlets). In addition to the hybrid multi-core CPU-GPU framework, we also investigate single GPU methods (using multiple cores) and multi-GPU methods that leverage all available GPUs simultaneously for computing induced subgraph statistics. Both methods leverage GPU devices only, whereas the hybrid multi-core CPU-GPU framework leverages all available multi-core CPUs and multiple GPUs for computing graphlets in large networks. Compared to recent approaches, our methods are orders of magnitude faster, while also more cost effective enjoying superior performance per capita and per watt. In particular, the methods are up to 300+ times faster than a recent state-of-the-art method. To the best of our knowledge, this is the first work to leverage multiple CPUs and GPUs simultaneously for computing induced subgraph statistics.
F. Serdio, E. Lughofer, K. Pichler, T. Buchegger, M. Pichler and H. Efendic, Multivariate Fault Detection using Vector Autoregressive Moving Average and Orthogonal Transformation in the residual Space, Annual Conference of the Prognostics and Health Management Society, PHM 2013, New Orleans, LA, USA, 2013, pp. 548-555.
Using recycled concrete aggregates (RCA) for pavements is crucial to achieving sustainability. Implementing RCA for new pavement can minimize carbon footprint, conserve natural resources, reduce harmful emissions, and lower life cycle costs. Compared to natural aggregate (NA), RCA pavement has fewer comprehensive studies and sustainability assessments.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressionsVictor Morales
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
Water billing management system project report.pdfKamal Acharya
Our project entitled “Water Billing Management System” aims is to generate Water bill with all the charges and penalty. Manual system that is employed is extremely laborious and quite inadequate. It only makes the process more difficult and hard.
The aim of our project is to develop a system that is meant to partially computerize the work performed in the Water Board like generating monthly Water bill, record of consuming unit of water, store record of the customer and previous unpaid record.
We used HTML/PHP as front end and MYSQL as back end for developing our project. HTML is primarily a visual design environment. We can create a android application by designing the form and that make up the user interface. Adding android application code to the form and the objects such as buttons and text boxes on them and adding any required support code in additional modular.
MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software. It is a stable ,reliable and the powerful solution with the advanced features and advantages which are as follows: Data Security.MySQL is free open source database that facilitates the effective management of the databases by connecting them to the software.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Harnessing WebAssembly for Real-time Stateless Streaming PipelinesChristina Lin
Traditionally, dealing with real-time data pipelines has involved significant overhead, even for straightforward tasks like data transformation or masking. However, in this talk, we’ll venture into the dynamic realm of WebAssembly (WASM) and discover how it can revolutionize the creation of stateless streaming pipelines within a Kafka (Redpanda) broker. These pipelines are adept at managing low-latency, high-data-volume scenarios.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
Saudi Arabia stands as a titan in the global energy landscape, renowned for its abundant oil and gas resources. It's the largest exporter of petroleum and holds some of the world's most significant reserves. Let's delve into the top 10 oil and gas projects shaping Saudi Arabia's energy future in 2024.
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