THE DESIGN OF A DATA PROCESSING CENTER FOR BIOLOGICAL DATA

1964 ◽  
Vol 115 (2) ◽  
pp. 547-552 ◽  
Author(s):  
Henry J. Juenemann
2016 ◽  
Vol 49 (1) ◽  
pp. 302-310 ◽  
Author(s):  
Michael Kachala ◽  
John Westbrook ◽  
Dmitri Svergun

Recent advances in small-angle scattering (SAS) experimental facilities and data analysis methods have prompted a dramatic increase in the number of users and of projects conducted, causing an upsurge in the number of objects studied, experimental data available and structural models generated. To organize the data and models and make them accessible to the community, the Task Forces on SAS and hybrid methods for the International Union of Crystallography and the Worldwide Protein Data Bank envisage developing a federated approach to SAS data and model archiving. Within the framework of this approach, the existing databases may exchange information and provide independent but synchronized entries to users. At present, ways of exchanging information between the various SAS databases are not established, leading to possible duplication and incompatibility of entries, and limiting the opportunities for data-driven research for SAS users. In this work, a solution is developed to resolve these issues and provide a universal exchange format for the community, based on the use of the widely adopted crystallographic information framework (CIF). The previous version of the sasCIF format, implemented as an extension of the core CIF dictionary, has been available since 2000 to facilitate SAS data exchange between laboratories. The sasCIF format has now been extended to describe comprehensively the necessary experimental information, results and models, including relevant metadata for SAS data analysis and for deposition into a database. Processing tools for these files (sasCIFtools) have been developed, and these are available both as standalone open-source programs and integrated into the SAS Biological Data Bank, allowing the export and import of data entries as sasCIF files. Software modules to save the relevant information directly from beamline data-processing pipelines in sasCIF format are also developed. This update of sasCIF and the relevant tools are an important step in the standardization of the way SAS data are presented and exchanged, to make the results easily accessible to users and to promote further the application of SAS in the structural biology community.


Author(s):  
S. Suhak ◽  
L. Shabanova-Kushnarenko ◽  
M. Siruk ◽  
N. Bihun ◽  
A. Mishchenko

Nowadays, the development of information technologies determines the successful functioning of the political system, since they allow to control political processes, prevent social and political conflicts. Increasing the level of reliability of the information, the most effective use of information resources, external and internal information ropes increase the stability of the political system, stability of the socio-political development of the country. The combination of different telecommunication technologies that create the preconditions for building flexible and high-performance service-oriented systems can be used to solve problems in different industries. However, nowadays, one of the constraints on the implementation and further development of such networks is the theoretical under-development of service delivery models, due to the lack of comprehensive information on the structure of data center networks. During the research conducted by the authors, it was found that the data processing center is the basis for informing the defense ministry of Ukraine. During the research, the authors used general scientific methods of analysis and synthesis, as well as the basic provisions of the theory of informatics, the theory of complex technical systems, the theory of information, etc. During the research, the authors substantiated the main tasks that will be performed by the data processing center of the defense ministry of Ukraine, identified the main information and calculation tasks that will be performed by them. The authors also substantiated the requirements for building a data center of the Defense Ministry of Ukraine. The authors evaluated modern technological solutions and software and hardware for the creation of the information infrastructure of the defense ministry of Ukraine. Possible technical and software for building a reliable and secure data processing center of the defense ministry of Ukraine are proposed. Therefore, the prospective direction of further scientific research of the authors should be considered the justification of ways of improvement of informatization of the armed forces of Ukraine and the creation of information infrastructure of the defense ministry of Ukraine are mobile data centers. This will allow the deployment of information infrastructure in various conditions, including in the open space, which is very relevant for the specifics of actions in the east of Ukraine.


2019 ◽  
Vol 1 (2) ◽  
pp. 51-58
Author(s):  
Sanji Muhammad Sidik ◽  
Hermawaty Hermawaty

Clothesline that is used in the community is still in the form of a manual so that the community must raise it directly. People who have more interests or who work may not have to raise clothes directly so they have to leave their more important work. When traveling or there are other jobs the community is still confused how to pick up clothesline with changing weather. From these problems, a prototype model of automatic clothesline was built using Android-based Arduino, this is to simplify and shorten the time in lifting clothesline or drying clothes when our weather changes. Having designed an automatic clothesline using Android-based Arduino. In this study, the Arduino UNO microcontroller functions as a data processing center obtained from the LDR sensor to detect light, uses a water sensor to detect rainwater and uses a DC motor to move the clothesline out / in, and uses the Bluetooth HC-05 module to move the clothesline with Android. The test results show that this tool works well, when the device is turned on the sensor will check the weather outside whether the weather is sunny or rainy. When the weather is sunny or hot outside, the clothesline will automatically come out and if the weather outside is raining, the clothesline will automatically go inside. When the sensor does not function or has trouble the automatic clothesline can be controlled via a smartphone that is connected to the Bluetooth HC-05 module.


2014 ◽  
Vol 596 ◽  
pp. 936-943 ◽  
Author(s):  
Shu Dan Lee ◽  
Wen Qin Liu ◽  
Wei Zeng ◽  
Xin Gao ◽  
Cong Song Zhang

Owing to the inefficiency and difficulty in finding out the position of books in library, this paper designed a positioning system, which is based on QR code and can be used to find out where the book is in real-time. In the design, a QR code is an identity of the position. The mobile wireless cameras, which were set on the bookshelves, acquire the image of QR code and then send it to data processing center. The processing center generates a two-dimensional localization image of books after the QR was decoded, then stores the localization image in the database in order that the readers or managerial staves can get the books they need quickly and easily after retrieving. This paper presents the structure of the positioning system from the perspective of software and hardware, and the feasibility of the design has been proved by practice test. This design also has certain reference value to the promotion of the QR code in other management fields.


Author(s):  
Sonia Farhana Nimmy ◽  
Md. Sarwar Kamal ◽  
Muhammad Iqbal Hossain ◽  
Nilanjan Dey ◽  
Amira S. Ashour ◽  
...  

In the current digitalized era, large datasets play a vital role in features extractions, information processing, knowledge mining and management. Sometimes, existing mining approaches are not sufficient to handle large volume of datasets. Biological data processing also suffers for the same issue. In the present work, a classification process is carried out on large volume of exons and introns from a set of raw data. The proposed work is designed into two parts as pre-processing and mapping-based classification. For pre-processing, three filtering techniques have been used. However, these traditional filtering techniques face difficulties for large datasets due to the long required time during large data processing as well as the large required memory size. In this regard, a mapping-based neural skyline filtering approach is designed. Randomized algorithm performed the mapping for large volume of datasets based on objective function. The objective function determines the randomized size of the datasets according to the homogeneity. Around 200 million DNA base pairs have been used for experimental analysis. Experimental result shows that mapping centric filtering outperforms other filtering techniques during large data processing.


2020 ◽  
Vol 61 (1) ◽  
pp. 11-20
Author(s):  
Pham Cong Khai ◽  
Nguyen Van Hai ◽  

This paper presents results of investigating, designing, and building a monitoring system in real-time based on GNSS CORS technology in order to monitor landslides at Xekaman 3 hydropower plant in the Lao people’s Democratic Republic. A system with 18 monitoring stations and a CORS station has been designed to ensure the operation of system 24/7. The connection diagram for data transmission from the monitoring stations to the data processing center, as well as the connection diagram of the devices at a monitoring station has been designed. A simulation experiment has shown that the designed system can be applied for real-time monitoring of landslide.


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