KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e...
KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e., recording of data, transfer from the KAGRA experiment site to computing resources, as well as data distribution to tier sites, including international sites in Taiwan and Korea. The amount of KAGRA data exceeded 1.0 PiB and increased by about 1.5 TB per day during operation in 2020. Our system has succeeded in data management, and has achieved performance that can withstand observations after 2023, that is, a transfer rate of 20 MB s-1or more and file storage of sufficient capacity for petabyte class. We also discuss the sharing of data between the global gravitational-wave detector network with other experiments, namely LIGO and Virgo. The latency, which consists of calculation of calibrated strain data and transfer time within the global network, is very important from the view of multi-messenger astronomy using gravitational waves. Real-time calbrated data delivered from the KAGRA detector site and other detectors to our computing system arrive with about 4–15 seconds of latency. These latencies are sufficiently short compared to the time taken for gravitational wave event search computations. We also established a high-latency exchange of offline calibrated data that was aggregated with a better accuracy compared with real-time data.
作者:
Graham GreenleafVC VivekanandanPhilip ChungRanbir SinghAndrew MowbrayA Graham Greenleaf
Professor of Law D Information Systems University of New South Wales. B Dr.V.C.Vivekanandan
Ministry of HRD IP Chair Professor NALSAR University of Law Hyderabad. C Philip Chung
Lecturer in Law University of Technology Sydney and Conjoint Lecturer in Law UNSW. D Prof. (Dr.) Ranbir Singh
Vice-Chancellor National Law University Delhi. E Andrew Mowbray
Professor of Law D Computer Science at the University of Technology Sydney. This article first appeared in 8(3) SCRIPTed 292 (2011). The assistance of Rajan Sharma system developer for LII of India at AustLII Jill Matthews Indexer prior AustLII staff and SCRIPTed editors and referees is gratefully acknowledged. An earlier version of this article was presented at the Law via the Internet Conference University of Hong Kong 2011. The article was completed while Graham Greenleaf was a Visiting Fellow at the SCRIPT/AHRC Law and Technology Centre University of Edinburgh. The LII of India has been assisted by an AusAID PSLP (Public Sector Linkages Program) grant concerning access to South Asian legal information and from an ARC (Australian Research Council) LIEF grant concerning CommonLII
Image magnification is one of the branches in digital image processing that is often required in various applications such as in the field of medicine, multimedia, and in satellite imagery. As technology grows, more a...
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One effort to maintain documents or records is to make changes in the form of digital images. The drawings further processing needs to be done so that the text or sentences therein can be operated as do the search, an...
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ISBN:
(纸本)9781509016419
One effort to maintain documents or records is to make changes in the form of digital images. The drawings further processing needs to be done so that the text or sentences therein can be operated as do the search, analysis, or manipulation of the contents of the text. The treatment process is known as optical character recognition (OCR) and continues to develop. OCR is generally divided into three main stages, namely preprocessing, feature extraction and classification. Feature extraction is one of the essential or fundamental processes in character recognition. The purpose of feature extraction is to obtain the characteristics of each character. The results at this stage can affect the quality of character recognition. Generally, feature extraction on character is done by a complex calculation so as to cause the necessary time computing is not a little, especially in real time recognition case. In this paper, feature extraction can be done simply proposed as an alternative, called Shape Energy. This method uses the approach of how humans are able to distinguish between characters or numbers in a simple. It results in three elements which are elasticity, curvature, and texture. The elasticity is first derivative and the curvature is second derivative of each pixel in the frame of the character, which is obtained from thinning. While the texture value is 4-direction chain-codes. This method testing has been done on some type of character by using back propagation neural network as a method on classification stage. This testing resulted in average value accuracy rate of success in identifying these characters by 90.3%.
Development of microarray technology makes the number of research about Bioinformatics will increase as well. Microarray dataset contains genetic information and can be used to analyze thousands of samples and feature...
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ISBN:
(纸本)9781509016419
Development of microarray technology makes the number of research about Bioinformatics will increase as well. Microarray dataset contains genetic information and can be used to analyze thousands of samples and features. Especially in cancer research, the cancer data is generated by microarray technology, and will be a primary data for training and testing in the machine learning process. The main difficulties lie in the nature of microarray gene expression data which usually are noisy and high-dimensional. Microarray dataset usually has a large number of attributes or features, but it has a small number of samples. This condition makes the learning process microarray dataset has become harder because of the curse of dimensionality, where the machine will be difficult to handle a number of data with a very high-dimensional. The solution to handle a high-dimensional dataset and improve the accuracy of microarray dataset is using feature selection. The method of feature selection is followed the principle of natural selection, called Evolutionary Algorithms. We proposed to implement some Evolutionary Algorithms such as Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), which ACO improved F-measure of 9 datasets and ROC Area of 7 datasets from 11 datasets existing in the cancer research.
Serious games have been used to facilitate learning and training processes with examples of implementation in healthcare and military training. The learning objectives of these games are to help the players understand...
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Serious games have been used to facilitate learning and training processes with examples of implementation in healthcare and military training. The learning objectives of these games are to help the players understand specific and complex concepts. This paper focuses on developing a board game, named ThinkLog, to facilitate learning on Supply Chain Management (SCM). It serves as a face-to-face interactive learning tool that can be expended to cover variations of scenarios. Using two interactive sessions with government officials, we are able to validate that ThinkLog was effective in deepening the players' understanding of SCM concepts.
The research aims to build software that can perform the classification of earth image from UAV (Unmanned Aerial Vehicle) monitoring. The Image converted into YUV format then classified using Fuzzy Support Vector Mach...
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The search for meaningful structure in biological data has relied on cutting-edge advances in computational technology and data science methods. However, challenges arise as we push the limits of scale and complexity ...
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Corruption is an extraordinary crime and must be eradicated not only as fast as possible, but also as efficient and as effective as possible as it hinders the process of achieving sustainable economy. In current moder...
Corruption is an extraordinary crime and must be eradicated not only as fast as possible, but also as efficient and as effective as possible as it hinders the process of achieving sustainable economy. In current modern society, informationtechnology exists as a multidisciplinary tool to solve lingering problems that could not be solved by traditional efforts. This paper aims to provide knowledge regarding identified efforts to fight corruption specifically in Indonesia region. Systematic Literature Review (SLR) methodology is used as the methodology, and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) flow is used as framework to identify relevant records. Scopus database is used as data source. A total of 10 records are labelled as relevant to this research, and the findings are synthesized. It was found from the records that the main areas of interest for ICT research for corruption prevention in Indonesia are (1) information transparency, (2) operational enhancement, (3) success evaluation, (4) security and fraud, and (4) decision support. The findings are expected to assist future research in term of providing valuable insights on corruption prevention using ICT in Indonesia.
Explores the topic of perception, using the dance of the Tango, as a metaphor to explain how a complex set of music, instruments, and human emotions and experiences can be used by bioengineers to design and create new...
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Explores the topic of perception, using the dance of the Tango, as a metaphor to explain how a complex set of music, instruments, and human emotions and experiences can be used by bioengineers to design and create new forms of technology to benefit mankind. How our central nervous system (CNS) decides that a given combination of sounds causes pleasure or not is a question with no definite answer yet and is not the intended subject herein. This column only aims at showing how the tango, a tiny subset of the overall musical world, followed a path since its inception in the 1870s or 1880s that moved from rather simple consonant melodies to highly elaborated compositions rich in all sort of well-handled consonant–dissonant combinations, many cadences to give musical phrases a distinctive ending or a sense of conclusion, adequate key conversions or shifts, including rhythmic changes or even lack of rhythm.
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