Optimizing mass storage organization and access for multi-dimensional scientific data

2002 ◽  
Author(s):  
R. Drach ◽  
S.W. Hyer ◽  
S. Louis ◽  
G. Potter ◽  
G. Richmond ◽  
...  
Keyword(s):  
Scientific Data ◽  
Mass Storage

Frequent Itemset Mining and Association Rules

2010 ◽  
pp. 343-353
Author(s):  
Susan Imberman ◽  
Abdullah Uz Uz Tansel
Keyword(s):  
Credit Card ◽  
Scientific Data ◽  
Large Datasets ◽  
Medical Data ◽  
Frequent Itemset ◽  
Knowledge Discovery In Databases ◽  
Mass Storage ◽  
Point Of Sale ◽  
Storage Devices ◽  
Itemset Mining

With the advent of mass storage devices, databases have become larger and larger. Point-of-sale data, patient medical data, scientific data, and credit card transactions are just a few sources of the ever-increasing amounts of data. These large datasets provide a rich source of useful information. Knowledge Discovery in Databases (KDD) is a paradigm for the analysis of these large datasets. KDD uses various methods from such diverse fields as machine learning, artificial intelligence, pattern recognition, database management and design, statistics, expert systems, and data visualization.

scholarly journals HSM and backup services at INFN-CNAF

2019 ◽  
Vol 214 ◽  
pp. 04009
Author(s):  
Alessandro Cavalli ◽  
Daniele Cesini ◽  
Enrico Fattibene ◽  
Andrea Prosperini ◽  
Vladimir Sapunenko
Keyword(s):  
Nuclear Physics ◽  
Hadron Collider ◽  
Storage System ◽  
Scientific Data ◽  
It Services ◽  
Mass Storage ◽  
Space Management ◽  
Current Configuration ◽  
Mass Storage System ◽  
Backup And Recovery

IBM Spectrum Protect (ISP) software, one of the leader solutions in data protection, contributes to the data management infrastructure operated at CNAF, the central computing and storage facility of INFN (Istituto Nazionale di Fisica Nucleare – Italian National Institute for Nuclear Physics). It is used to manage about 55 Petabytes of scientific data produced by LHC (Large Hadron Collider at CERN) and other experiments in which INFN is involved, stored on tape resources as the highest latency storage tier within HSM (Hierarchical Space Management) environment. To accomplish this task, ISP works together with IBM Spectrum Scale (formerly GPFS - General Parallel File System) and GEMSS (Grid Enabled Mass Storage System), an in-house developed software layer that manages migration and recall queues. Moreover, we perform backup/archive operation of main IT services running at CNAF, such as mail servers, configurations, repositories, documents, logs, etc. In this paper we present the current configuration of the HSM infrastructure and the backup and recovery service, with particular attention to issues related to the increasing amount of scientific data to manage, expected for the next years.

scholarly journals Frequent Itemset Mining and Association Rules

2011 ◽  
pp. 197-203
Author(s):  
Susan Imberman ◽  
Abdullah Uz Uz Tansel
Keyword(s):  
Credit Card ◽  
Scientific Data ◽  
Large Datasets ◽  
Medical Data ◽  
Frequent Itemset ◽  
Knowledge Discovery In Databases ◽  
Mass Storage ◽  
Point Of Sale ◽  
Storage Devices ◽  
Itemset Mining

With the advent of mass storage devices, databases have become larger and larger. Point-of-sale data, patient medical data, scientific data, and credit card transactions are just a few sources of the ever-increasing amounts of data. These large datasets provide a rich source of useful information. Knowledge Discovery in Databases (KDD) is a paradigm for the analysis of these large datasets. KDD uses various methods from such diverse fields as machine learning, artificial intelligence, pattern recognition, database management and design, statistics, expert systems, and data visualization.

Frequent Itemset Mining and Association Rules

2011 ◽  
pp. 921-929
Author(s):  
Susan Imberman ◽  
Abdullah Uz Uz Tansel
Keyword(s):  
Credit Card ◽  
Scientific Data ◽  
Large Datasets ◽  
Medical Data ◽  
Frequent Itemset ◽  
Knowledge Discovery In Databases ◽  
Mass Storage ◽  
Point Of Sale ◽  
Storage Devices ◽  
Itemset Mining

With the advent of mass storage devices, databases have become larger and larger. Point-of-sale data, patient medical data, scientific data, and credit card transactions are just a few sources of the ever-increasing amounts of data. These large datasets provide a rich source of useful information. Knowledge Discovery in Databases (KDD) is a paradigm for the analysis of these large datasets. KDD uses various methods from such diverse fields as machine learning, artificial intelligence, pattern recognition, database management and design, statistics, expert systems, and data visualization.

The bright future of digital imaging in scanning electron microscopy

1993 ◽  
Vol 51 ◽  
pp. 768-769
Author(s):  
M. T. Postek ◽  
A. E. Vladar
Keyword(s):  
Electron Microscopy ◽  
Scanning Electron Microscopy ◽  
Digital Imaging ◽  
High Speed ◽  
High Performance ◽  
Mass Storage ◽  
Analog To Digital ◽  
Central Processing ◽  
Digital Imaging Technology ◽  
Scanning Electron

One of the major advancements applied to scanning electron microscopy (SEM) during the past 10 years has been the development and application of digital imaging technology. Advancements in technology, notably the availability of less expensive, high-density memory chips and the development of high speed analog-to-digital converters, mass storage and high performance central processing units have fostered this revolution. Today, most modern SEM instruments have digital electronics as a standard feature. These instruments, generally have 8 bit or 256 gray levels with, at least, 512 × 512 pixel density operating at TV rate. In addition, current slow-scan commercial frame-grabber cards, directly applicable to the SEM, can have upwards of 12-14 bit lateral resolution permitting image acquisition at 4096 × 4096 resolution or greater. The two major categories of SEM systems to which digital technology have been applied are:In the analog SEM system the scan generator is normally operated in an analog manner and the image is displayed in an analog or "slow scan" mode.

Fifth Edition: the New Standard

2000 ◽  
Vol 5 (6) ◽  
pp. 1-7
Author(s):  
Christopher R. Brigham ◽  
James B. Talmage ◽  
Leon H. Ensalada
Keyword(s):  
Musculoskeletal System ◽  
Medical Information ◽  
Objective Assessment ◽  
Scientific Data ◽  
Practical Application ◽  
Fourth Edition ◽  
Appropriate Use ◽  
Medical Evaluation ◽  
Single Set

Abstract The AMA Guides to the Evaluation of Permanent Impairment (AMA Guides), Fifth Edition, is available and includes numerous changes that will affect both evaluators who and systems that use the AMA Guides. The Fifth Edition is nearly twice the size of its predecessor (613 pages vs 339 pages) and contains three additional chapters (the musculoskeletal system now is split into three chapters and the cardiovascular system into two). Table 1 shows how chapters in the Fifth Edition were reorganized from the Fourth Edition. In addition, each of the chapters is presented in a consistent format, as shown in Table 2. This article and subsequent issues of The Guides Newsletter will examine these changes, and the present discussion focuses on major revisions, particularly those in the first two chapters. (See Table 3 for a summary of the revisions to the musculoskeletal and pain chapters.) Chapter 1, Philosophy, Purpose, and Appropriate Use of the AMA Guides, emphasizes objective assessment necessitating a medical evaluation. Most impairment percentages in the Fifth Edition are unchanged from the Fourth because the majority of ratings currently are accepted, there is limited scientific data to support changes, and ratings should not be changed arbitrarily. Chapter 2, Practical Application of the AMA Guides, describes how to use the AMA Guides for consistent and reliable acquisition, analysis, communication, and utilization of medical information through a single set of standards.

On the fudging of scientific data.

1981 ◽  
Vol 36 (6) ◽  
pp. 692-692
Author(s):  
H. J. Eysenck
Keyword(s):  
Scientific Data

Essays on Neurophysiology by Platon Kostyuk and His Students

2020 ◽  
Keyword(s):  
Graduate Students ◽  
Scientific Data ◽  
Chronological Order ◽  
Long Time

This monograph is dedicated to the anniversary of the birth of the great Ukrainian world-famous neurophysiologist, biophysicist Academician Platon Grigoryevich Kostyuk. The monograph includes sections written by P.G. Kostyuk and his students who worked directly with him in the department or defended dissertations under his supervision. The monograph was prepared for a long time, so some authors have already passed away, like Platon Grigoryevich himself. The monograph presents memoirs and scientific data of research in modern molecular, cellular and theoretical neurophysiology and biophysics. The chapters are presented mostly in chronological order of his students’ collaboration with Kostyuk. The monograph will be especially useful for specialists in neurophysiology, biophysics, and medicine: scientists, teachers, graduate students, and students involved in biology and medicine.

Some Views on Current Concerns About Pesticides

2020 ◽  
Vol 31 (5) ◽  
pp. 230-235
Author(s):  
Graham Matthews
Keyword(s):  
Green Revolution ◽  
Scientific Data ◽  
Second World War ◽  
Variable Degree ◽  
World War ◽  
Adverse Impacts ◽  
Current Concerns ◽  
Second World

There is little doubt that the introduction of modern pesticides since the end of the Second World War has enabled a significant increase in the production of many crops during the green revolution, but criticism of the use of pesticides has increased because more people are claiming that their use has resulted in unacceptable adverse impacts on the health of those applying the pesticides or who live near treated farms, as well as more general impacts on the environment. When these modern pesticides were first introduced, countries established registration requirements. These were based on scientific data at that time concerning their toxicity and persistence in the environment, and have been followed to a variable degree, depending on whether individual countries or regions had adequate facilities to assess the data presented by manufacturers.

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