scholarly journals PC based new software developed to create an input pilot balloon data file to an alternative to Hand Held Data Logger (HHDL) for using PC based SAMEER Pibal computation software

MAUSAM ◽  
2021 ◽  
Vol 67 (2) ◽  
pp. 499-504
Author(s):  
N. MEENATCHI NATHAN ◽  
CHANABASANAGOUDA. S. PATIL ◽  
J. P. IMMANUEL JAYAPRAKASH

Pilot balloon observatories of India Meteorological Department (IMD) are using Hand Held Data Logger (HHDL), manufactured by SAMEER, to compute upper air data since 2007. The HHDL, which is a sleek and microcontroller based battery operated unit, accepts all information through the numeric keypad pertaining to the PB ascent for raw file generation and pilot balloon data processing. The raw file can be transferred to computer system as an input file to PC based Pibal computation software. This software generates Pibal messages similar to HHDL in addition to National Data Centre (NDC) data format and monthly climate. In case of any failure of hardware, both HHDL & PC based Pibal computation software cannot be used.  Therefore to overcome this problem, a PC based Pibal data keying software has been developed using visual C sharp. The new software, what is developed, creates an input file similar to HHDL; it was tested with PC based Pibal computation software which works successfully as an alternate in case of failure of HHDL & it’s hardware accessories  

2020 ◽  
Author(s):  
Nadila Putri Ayu

AbstrakPerangkat sumber daya manusia menjadi bagian terpenting dalam menjalankan atau mengoperasikan sebuah perangkat komputer. Manusia merupakan suatu elemen dari sistem komputer yang merancang bagaimana suatu mesin dapat bekerja sesuai dengan hasil yang diinginkan. Istilah yang digunakan untuk manusia yang berhubungan dengan komputer adalah Brainware. Brainware adalah semua personil atau tenaga kerja di bidang komputer, yakni yang terlibat dalam kegiatan pembentukan sistem komputerisasi maupun yang menangani dan mengawasi langsung bagian pengolahan data berbantuan komputer. Brainware terdiri dari Programer, Sistem Analis, Administrator, Teknisi Hardware, Teknisi Jaringan dan Web Master.Kata Kunci : Perangkat Sumber Daya Manusia AbstractHuman resource devices become the most important part in running or operating a computer device. Humans are an element of a computer system that designs how a machine can work in accordance with the desired results. The term used for humans related to computers is Brainware. Brainware is all personnel or workers in the computer field, that is, those involved in the formation of computerized systems as well as those who handle and directly supervise computer-aided data processing. Brainware consists of Programmers, Systems Analysts, Administrators, Hardware Technicians, Network Technicians and Web Masters.Keywords: Human resource device


2020 ◽  
Author(s):  
Fahriza Irfansyah

Perangkat sumber daya manusia menjadi bagian terpenting dalam menjalankan atau mengoperasikan sebuah perangkat komputer. Manusia merupakan suatu elemen dari sistem komputer yang merancang bagaimana suatu mesin dapat bekerja sesuai dengan hasil yang diinginkan. Istilah yang digunakan untuk manusia yang berhubungan dengan komputer adalah Brainware. Brainware adalah semua personil atau tenaga kerja di bidang komputer, yakni yang terlibat dalam kegiatan pembentukan sistem komputerisasi maupun yang menangani dan mengawasi langsung bagian pengolahan data berbantuan komputer. Brainware terdiri dari Programer, Sistem Analis, Administrator, Teknisi Hardware, Teknisi Jaringan dan Web Master. Human resource devices become the most important part in running or operating a computer device. Humans are an element of a computer system that designs how a machine can work in accordance with the desired results. The term used for humans related to computers is Brainware. Brainware is all personnel or workers in the computer field, that is, those involved in the formation of computerized systems as well as those who handle and directly supervise computer-aided data processing. Brainware consists of Programmers, Systems Analysts, Administrators, Hardware Technicians, Network Technicians and Web Masters.


1972 ◽  
Vol 2 (19) ◽  
pp. 1076-1080 ◽  
Author(s):  
K. J. Harvey ◽  
M. Were ◽  
Wendy Heys ◽  
D. D. Smith

2020 ◽  
Author(s):  
J. Ole Ross ◽  
Nicolai Gestermann ◽  
Peter Gaebler ◽  
Lars Ceranna

<p>For detection of non-compliance with the Comprehensive Nuclear-Test-Ban Treaty (CTBT) the global International Monitoring System (IMS) is being built up and nearly complete. The IMS is designed to detect and identify nuclear explosions through their seismic, hydroacoustic, infrasound, and radionuclide signature. The IMS data are collected, processed to analysis products, and distributed to the signatory states by the International Data Centre (IDC) in Vienna. The member states themselves may operate National Data Centers (NDC) giving technical advice concerning CTBT verification to their government. NDC Preparedness Exercises (NPE) are regularly performed to practice the verification procedures for the detection of nuclear explosions in the framework of CTBT monitoring. The NPE 2019 scenario was developed in close cooperation between the Italian NDC-RN (ENEA) and the German NDC (BGR). The fictitious state RAETIA announced a reactor incident with release of unspecified radionuclides into the atmosphere. Simulated concentrations of particulate and noble gas isotopes at IMS stations were given to the participants. The task was to check the consistency with the announcement and to serach for waveform events in the potential source region of the radioisotopes. In a next step, the fictitious neighbour state EASTRIA provided further national (synthetic) measurements and requested assistance from IDC with so called Expert Technical Analysis (ETA) about the origin of those traces. The presentation shows aspects of scenario design, event selection, and forward amospheric transport modelling as well as radionuclide and seismological analyses.   </p>


2019 ◽  
Vol 214 ◽  
pp. 03011 ◽  
Author(s):  
David Cameron ◽  
Wenjing Wu ◽  
Alexander Bogdanchikov ◽  
Riccardo Bianchi

The volunteer computing project ATLAS@Home has been providing a stable computing resource for the ATLAS experiment since 2013. It has recently undergone some significant developments and as a result has become one of the largest resources contributing to ATLAS computing, by expanding its scope beyond traditional volunteers and into exploitation of idle computing power in ATLAS data centres. Removing the need for virtualization on Linux and instead using container technology has made the entry barrier significantly lower for data centre participation and in this paper, we describe the implementation and results of this change. We also present other recent changes and improvements in the project. In early 2017 the ATLAS@Home project was merged into a combined LHC@Home platform, providing a unified gateway to all CERN-related volunteer computing projects. The ATLAS Event Service shifts data processing from file-level to event-level and we describe how ATLAS@Home was incorporated into this new paradigm.


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