A Novel Technique for Handling Small File Problem of HDFS: Hash Based Archive File (HBAF)

Now a day’s, Data is exponentially increasing with the advancement in the data science. Each and every digital footprint is generating enormous amount of data, which is further used for processing various tasks to generate important information for different end user applications. To handle such enormous amount of data, there are number of technologies available, Hadoop/HDFS is one of the big data handling technology. HDFS can easily handle the large files but when there is the case to deal with massive number of small files, the performance of the HDFS degrades. In this paper we have proposed a novel technique Hash Based Archive File (HBAF) that can solve the small file problem of the HDFS. The proposed technique is capable to read the final index files partly, that will reduce the memory load on the Name Node and offer the file appending capability after creation of the archiv.

A Universal Standard Archive File for Adsorption Data

<div>New advanced adsorbents are a crucial driver for the development of energy and environmental applications. Tremendous potential is provided by machine learning and data mining techniques, as these approaches can identify the most appropriate adsorbent for a particular application. However, the current scientific reporting of adsorption isotherms in graphs and figures is not adequate to reproduce original experimentally measured data.</div><div><br></div><div>This report proposes the specification of a new standard adsorption information file (AIF) inspired by the ubiquitous crystallographic information file (CIF) and based on the self-defining text archive and retrieval (STAR) procedure, also used to represent biological nuclear magnetic resonance experiments (NMR-STAR). The AIF is a flexible and easily extended free-format archive file that is readily human and machine readable</div><div>and is simple to edit using a basic text editor or parse for database curation. This format represents the first steps toward an open adsorption data format as a basis for a decentralized adsorption data library.</div><div><br></div><div>An open format facilitates the electronic transmission of adsorption data between laboratories, journals and larger databases, which is key in the effort to increase open science in the field of porous materials in the future.</div>

A Universal Standard Archive File for Adsorption Data

<div>New advanced adsorbents are a crucial driver for the development of energy and environmental applications. Tremendous potential is provided by machine learning and data mining techniques, as these approaches can identify the most appropriate adsorbent for a particular application. However, the current scientific reporting of adsorption isotherms in graphs and figures is not adequate to reproduce original experimentally measured data.</div><div><br></div><div>This report proposes the specification of a new standard adsorption information file (AIF) inspired by the ubiquitous crystallographic information file (CIF) and based on the self-defining text archive and retrieval (STAR) procedure, also used to represent biological nuclear magnetic resonance experiments (NMR-STAR). The AIF is a flexible and easily extended free-format archive file that is readily human and machine readable</div><div>and is simple to edit using a basic text editor or parse for database curation. This format represents the first steps toward an open adsorption data format as a basis for a decentralized adsorption data library.</div><div><br></div><div>An open format facilitates the electronic transmission of adsorption data between laboratories, journals and larger databases, which is key in the effort to increase open science in the field of porous materials in the future.</div>

Рукопись Т. А. Бурдуковой «Программа занятий по монгольскому и ойратскому языкам»

Introduction. The A.V. Burdukov and T.A. Burdukova family archive (Form 21) kept at the Scientific Archive of the Kalmyk Scientific Center of the Russian Academy of Sciences contains unpublished and unanalyzed materials containing data on the scientific and social activities of the two outstanding scholars Alexei Vasilyevich Burdukov and his daughter Taisiya Alekseevna Burdukova. These materials include lecture notes and study programs. The materials from archive file No. 158 are of particular interest, they include two manuscripts of the above mentioned authors. The texts of the documents are written in a notebook, on the front side of the notebook the text was written by Alexey Vasilyevich, whereas on the back the text was written by Taisia Alexeyevna. The manuscript by A. V. Burdukov is a summary of the report for a meeting of the Political Circle of the Leningrad Oriental Institute on the topic “The Party during the period of factions (1907–1910)”, which was scheduled on April 1, 1936. The purpose of this article is to introduce into scientific circulation the text of the manuscript written by T. A. Burdukova — “Mongolian and Oirat Language Study Program” for the 1945–1946 academic year. The text of the manuscript is written in blue ink, it has faded in places which makes it difficult to read the manuscript. The text contains the author’s corrections and insertions. The text of the Program shows the topics Taisiya Alekseevna intended to convey to the students and how she planned to develop their skills in the Mongolian and Oirat language proficiency (in the old-written and modern aspects), the study of written sources, the ability to work with scientific literature and publications. Also, the teacher planned to instill in the audience a habit of reading non-fiction and fiction literature, to teach them analyze the material they have read. The study program includes approaches to teaching students, developing their skills of working with sources and literature in the Mongolian and Oirat languages, all these determine the value and significance of the manuscript by T.A. Burdukova.

Рукопись Т. А. Бурдуковой «Программа занятий по монгольскому и ойратскому языкам»

Introduction. The A.V. Burdukov and T.A. Burdukova family archive (Form 21) kept at the Scientific Archive of the Kalmyk Scientific Center of the Russian Academy of Sciences contains unpublished and unanalyzed materials containing data on the scientific and social activities of the two outstanding scholars Alexei Vasilyevich Burdukov and his daughter Taisiya Alekseevna Burdukova. These materials include lecture notes and study programs. The materials from archive file No. 158 are of particular interest, they include two manuscripts of the above mentioned authors. The texts of the documents are written in a notebook, on the front side of the notebook the text was written by Alexey Vasilyevich, whereas on the back the text was written by Taisia Alexeyevna. The manuscript by A. V. Burdukov is a summary of the report for a meeting of the Political Circle of the Leningrad Oriental Institute on the topic “The Party during the period of factions (1907–1910)”, which was scheduled on April 1, 1936. The purpose of this article is to introduce into scientific circulation the text of the manuscript written by T. A. Burdukova — “Mongolian and Oirat Language Study Program” for the 1945–1946 academic year. The text of the manuscript is written in blue ink, it has faded in places which makes it difficult to read the manuscript. The text contains the author’s corrections and insertions. The text of the Program shows the topics Taisiya Alekseevna intended to convey to the students and how she planned to develop their skills in the Mongolian and Oirat language proficiency (in the old-written and modern aspects), the study of written sources, the ability to work with scientific literature and publications. Also, the teacher planned to instill in the audience a habit of reading non-fiction and fiction literature, to teach them analyze the material they have read. The study program includes approaches to teaching students, developing their skills of working with sources and literature in the Mongolian and Oirat languages, all these determine the value and significance of the manuscript by T.A. Burdukova.

AMCF : A Novel Archive Modeling Based on Data Cluster and Filtering

File archiving now needs to be appropriately managed so that it is easy to find and manage. File archiving in question is how to help in the process of finding data with a considerable number, to facilitate the work following the aim to reduce the time the search data can be integrated with the system created. Archiving itself aims to facilitate the management of data that is very diverse and with a large amount, to facilitate the management and also the control carried out. The problem with filing archives, in this case, is the lack of management regarding the correct filing of archives. Controlled archive file management makes the amount of time that is passed only by searching files. By looking at large amounts of data, it is necessary to use methods to be able to manage and search, with Alphabet, Numeric and K-means Clustering methods designed and processed, it is easier to manage existing data searches so that the work doesn't take too much time. There needs to be further development of the analysis carried out at this time to further improve the effectiveness by creating a system following the analysis rules made at this time. Keywords: Filing, Archives, File Management Alphabetical Filling System, Numerical Filing System, K-means Clustering.

lia_aulina_165100113

how to create databases and tables with Borland Delphi Database is one of the needs that need to be used in making applications that require data that is changing or just for data storage. The database can be said as a collection of stored and regulated or organized data so that the data can be retrieved or searched easily and efficiently. Manually the database can be a file cabinet, while a computerized database is an archive file. In general, databases are related to computerized data archiving so as to facilitate accessing data at a time quickly..

Interpolation of multidimensional signals using the reduction of the dimension of parametric spaces of decision rules

In this paper, we consider the interpolation of multidimensional signals problem. We develop adaptive interpolators that select the most appropriate interpolating function at each signal point. Parameterized decision rule selects the interpolating function based on local features at each signal point. We optimize the adaptive interpolator in the parameter space of this decision rule. For solving this optimization problem, we reduce the dimension of the parametric space of the decision rule. Dimension reduction is based on the parameterization of the ratio between local differences at each signal point. Then we optimize the adaptive interpolator in parametric space of reduced dimension. Computational experiments to investigate the effectiveness of an adaptive interpolator are conducted using real-world multidimensional signals. The proposed adaptive interpolator used as a part of the hierarchical compression method showed a gain of up to 51% in the size of the archive file compared to the smoothing interpolator.