scholarly journals Building, testing and distributing common software for the LHC experiments

2019 ◽  
Vol 214 ◽  
pp. 05020
Author(s):  
Javier Cervantes Villanueva ◽  
Gerardo Ganis ◽  
Dmitri Konstantinov ◽  
Grigorii Latyshev ◽  
Pere Mato Vila ◽  
...  
Keyword(s):  
Machine Learning ◽  
Operating Systems ◽  
Automatic System ◽  
Web Pages ◽  
Learning Tools ◽  
Future Directions ◽  
Grid Middleware ◽  
Hardware Architectures ◽  
User Friendly

Building, testing and deploying of coherent large software stacks is very challenging, in particular when they consist of the diverse set of packages required by the LHC experiments, the CERN Beams Department and data analysis services such as SWAN. These software stacks include several packages (Grid middleware, Monte Carlo generators, Machine Learning tools, Python modules) all available for a large number of compilers, operating systems and hardware architectures. To address this challenge, we developed an infrastructure around a tool called lcgcmake. Dedicated modules are responsible for building the packages, con-trolling the dependencies in a reliable and scalable way. The distribution relies on a robust and automatic system, responsible for building and testing the packages, installing them on CernVM-FS and packaging the binaries in RPMs and tarballs. This system is orchestrated through Jenkins on build machines provided by the CERN Openstack facility. The results are published through user-friendly web pages. In this paper we will present an overview of these infrastructure tools and policies. We also discuss the role of this effort within the HEP Software Foundation (HSF). Finally we will discuss the evolution of the infrastructure towards container (Docker) technologies and the future directions and challenges of the project.

scholarly journals Interdependence between histone marks and steps in Pol II transcription

2021 ◽  
Author(s):  
Charles Danko ◽  
Zhong Wang ◽  
Alexandra Chivu ◽  
Lauren Choate ◽  
Edward Rice ◽  
...  
Keyword(s):  
Machine Learning ◽  
Histone Modifications ◽  
Dnase I ◽  
Open Chromatin ◽  
Learning Tools ◽  
Pol Ii ◽  
Histone Marks ◽  
Chromatin States ◽  
Hypersensitive Sites

Abstract The role of histone modifications in transcription remains incompletely understood. Here we used experimental perturbations combined with sensitive machine learning tools that infer the distribution of histone marks using maps of nascent transcription. Transcription predicted the variation in active histone marks and complex chromatin states, like bivalent promoters, down to single-nucleosome resolution and at an accuracy that rivaled the correspondence between independent ChIP-seq experiments. Blocking transcription rapidly removed two punctate marks, H3K4me3 and H3K27ac, from chromatin indicating that transcription is required for active histone modifications. Transcription was also required for maintenance of H3K27me3 consistent with a role for RNA in recruiting PRC2. A subset of DNase-I hypersensitive sites were refractory to prediction, precluding models where transcription initiates pervasively at any open chromatin. Our results, in combination with past literature, support a model in which active histone modifications serve a supportive, rather than a regulatory, role in transcription.

The Role of Machine Learning in Game Development Domain - A Review of Current Trends and Future Directions

2021 ◽  
Author(s):  
Gemma Edwards ◽  
Nicholas Subianto ◽  
David Englund ◽  
Jun Wei Goh ◽  
Nathan Coughran ◽  
...  
Keyword(s):  
Machine Learning ◽  
Game Development ◽  
Future Directions ◽  
Current Trends

scholarly journals MACHINE LEARNING BASED SEARCH ENGINE WITH CRAWLING, INDEXING AND RANKING

2021 ◽  
Vol 10 (7) ◽  
pp. 76-83
Author(s):  
Anuradha T ◽  
Tayyaba Nousheen
Keyword(s):  
Machine Learning ◽  
World Wide Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
Accurate Result ◽  
Web Pages ◽  
The Web

The web is the heap and huge collection of wellspring of data. The Search Engine are used for retrieving the information from World Wide Web (WWW). Search Engines are helpful for searching user keywords and provide the accurate result in fraction of seconds. This paper proposed Machine Learning based search engine which will give more relevant user searches in the form of web pages. To display the user entered query search engine plays a major role of basic interface. Every site comprises of the heaps of site pages that are being made and sent on the server.

scholarly journals Optimizing Provisioning of LCG Software Stacks with Kubernetes

2020 ◽  
Vol 245 ◽  
pp. 05030
Author(s):  
Richard Bachmann ◽  
Gerardo Ganis ◽  
Dmitri Konstantinov ◽  
Ivan Razumov ◽  
Johannes Martin Heinz
Keyword(s):  
Operating Systems ◽  
Virtual Machines ◽  
Learning Tools ◽  
It Infrastructure ◽  
Integration System ◽  
On Demand ◽  
The Status ◽  
Hardware Architectures ◽  
Build Environment ◽  
New Challenges

The building, testing and deployment of coherent large software stacks is very challenging, in particular when they consist of the diverse set of packages required by the LHC*** experiments, the CERN Beams department and data analysis services such as SWAN. These software stacks comprise a large number of packages (Monte Carlo generators, machine learning tools, Python modules, HEP**** specific software), all available for several compilers, operating systems and hardware architectures. Along with several releases per year, development builds are provided each night to allow for quick updates and testing of development versions of packages such as ROOT, Geant4, etc. It also provides the possibility to test new compilers and new configurations. Timely provisioning of these development and release stacks requires a large amount of computing resources. A dedicated infrastructure, based on the Jenkins continuous integration system, has been developed to this purpose. Resources are taken from the CERN OpenStack cloud; Puppet configurations are used to control the environment on virtual machines, which are either used directly as resource nodes or as hosts for Docker containers. Containers are used more and more to optimize the usage of our resources and ensure a consistent build environment while providing quick access to new Linux flavours and specific configurations. In order to add build resources on demand more easily, we investigated the integration of a CERN provided Kubernetes cluster into the existing infrastructure. In this contribution we present the status of this prototype, focusing on the new challenges faced, such as the integration of these ephemeral build nodes into CERN’s IT infrastructure, job priority control, and debugging of job failures.

Technology Applications in Managing Talents

2021 ◽  
pp. 157-170
Author(s):  
Pushpa Kataria
Keyword(s):  
Machine Learning ◽  
Learning Tools ◽  
New Era ◽  
Hiring Process ◽  
Hr Management ◽  
Transformative Development ◽  
Technology Applications ◽  
Talent Acquisition ◽  
Board Level

Human resource (HR) management is all about people; there is no doubt about it. However, in the contemporary era inbuilt by the technological revolution and transformative development, the tenets of HR are finding a new footing. Technology applications have changed facets of corporate houses from restructuring organizations to resources to manpower. It has been seen that HR technologies are playing a major role in managing talents in organizations. Artificial intelligence, robotic process automation, and machine learning add an edge to talent acquisition and management. Machine learning tools are primarily being used in acquiring talents and enabling the hiring process effectively and efficiently. Today, as every company is moving to a new era of digitalization and data management, managing and mapping talents pose a challenge to C-suite and board-level management. The present study highlights the role of technology in managing talents in a series of HR processes.

scholarly journals Role of Machine Learning and Data Mining in Internet Security: Standing State with Future Directions

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Bilal Ahmad ◽  
Wang Jian ◽  
Zain Anwar Ali
Keyword(s):  
Machine Learning ◽  
Data Mining ◽  
Information Technology ◽  
Network Security ◽  
Intrusion Detection ◽  
Internet Security ◽  
Network Activity ◽  
Safety Measures ◽  
Future Directions

As time progresses with vast development of information technology, a large number of industries are more dependent on network connections for sensitive business trading and security matters. Communications and networks are highly vulnerable to threats because of increase in hacking. Personnel, governments, and armed classified networks are more exposed to difficulties, so the need of the hour is to install safety measures for network to prevent illegal modification, damage, or leakage of serious information. Intrusion detection, an important entity towards network security, has the ability to observe network activity as well as detect intrusions/attacks. This study highlights the developing research about the application of machine learning and data mining in Internet security. We provide background, enthusiasm, discussion of challenges, and recommendations for the application of ML/DM in the field of intrusion detection.

On Future Directions in Pathology

1982 ◽  
Vol 40 ◽  
pp. 274-277
Author(s):  
Benjamin F. Trump ◽  
Irene K. Berezesky ◽  
Raymond T. Jones
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Clinical Pathology ◽  
Future Directions ◽  
Diagnostic Pathology ◽  
The Past ◽  
Transmission Electron ◽  
Organ Systems ◽  
The Many

The role of electron microscopy and associated techniques is assured in diagnostic pathology. At the present time, most of the progress has been made on tissues examined by transmission electron microscopy (TEM) and correlated with light microscopy (LM) and by cytochemistry using both plastic and paraffin-embedded materials. As mentioned elsewhere in this symposium, this has revolutionized many fields of pathology including diagnostic, anatomic and clinical pathology. It began with the kidney; however, it has now been extended to most other organ systems and to tumor diagnosis in general. The results of the past few years tend to indicate the future directions and needs of this expanding field. Now, in addition to routine EM, pathologists have access to the many newly developed methods and instruments mentioned below which should aid considerably not only in diagnostic pathology but in investigative pathology as well.

The Role of Web Based Accounting Online System 2.0 as the Company's Income and Expense Management

2017 ◽  
Vol 1 (1) ◽  
pp. 44-49
Author(s):  
Nur Azizah ◽  
Dedeh Supriyanti ◽  
Siti Fairuz Aminah Mustapha ◽  
Holly Yang
Keyword(s):  
Financial Management ◽  
Accounting System ◽  
Bank Account ◽  
Web Based ◽  
Online System ◽  
Version 2.0 ◽  
User Friendly ◽  
The Impact ◽  
A Company

In a company, the process of income and expense of money must have a profit-generating goal base. The success of financial management within the company, can be monitored from the ability of the financial management in managing the finances and utilize all the opportunities that exist with as much as possible with the aim to control the company's cash (cash flow) and the impact of generating profits in accordance with expectations. With a web-based online accounting system version 2.0, companies can be given the ease to manage money in and out of the company's cash. It has a user friendly system with navigation that makes it easy for the financial management to use it. Starting from the creation of a company's cash account used as a cash account and corporate bank account on the system, deletion or filing of cash accounts, up to the transfer invoice creation feature, receive and send money. Thus, this system is very effective and efficient in the management of income and corporate cash disbursements.   Keywords:​Accounting Online System, Financial Management, Cash and Bank

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