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2021 ◽  
Author(s):  
Margaret Odlum ◽  
et al.

Contains detailed microscopy and thermochronology methodologies, (U-Th)/He data tables, grain size measurements, thermal history model input table, and figures.<br>


2021 ◽  
Author(s):  
Margaret Odlum ◽  
et al.

Contains detailed microscopy and thermochronology methodologies, (U-Th)/He data tables, grain size measurements, thermal history model input table, and figures.<br>


2021 ◽  
Vol 42 (1) ◽  
pp. e87564
Author(s):  
Rodrigo Ivan Espinel Villalobos ◽  
Erick Ardila Triana ◽  
Henry Zarate Ceballos ◽  
Jorge Eduardo Ortiz Triviño

In network management and monitoring systems, or Network Management Stations (NMS), the Simple Network monitoring Protocol (SNMP) is normally used, with which it is possible to obtain information on the behavior, the values of the variables, and the status of the network architecture. network. However, for large corporate networks, the protocol can present latency in data collection and processing, thus making real-time monitoring difficult. This article proposes a multi-agent system based on layers, with three types of agents. This includes the collector agent, which uses a Management Information Base (MIB) value to collect information from the network equipment, an input table of information from the network devices for the consolidator agent to process the collected data and leave it in a consumable format, and its subsequent representation by the application agent as a web service, in this case, as a heat map.


2021 ◽  
Author(s):  
L.C. Basler ◽  
et al.

<div>Photomicrographs of zircon grains; graphs of zircon (U-Th)/He date vs. aspect ratio, sample elevation, and grain radius; second-order forward and inverse model simulations, including “inheritance envelopes”; inverse thermal model input table.</div><div><br></div>


2021 ◽  
Author(s):  
L.C. Basler ◽  
et al.

<div>Photomicrographs of zircon grains; graphs of zircon (U-Th)/He date vs. aspect ratio, sample elevation, and grain radius; second-order forward and inverse model simulations, including “inheritance envelopes”; inverse thermal model input table.</div><div><br></div>


2019 ◽  
Vol 3 (1) ◽  
pp. 23-44
Author(s):  
Betty Yarsita Agustina ◽  
Andi Fahmi Lubis

Abstract : The research objectives is to analyze agglomeration over the company’s productivity of 2 important factors of agglomeration: interindustry (localization) and cross industry spillover (urbanization) and review its effect if those agglomeration derives from upstream or downstream industry. In addition to it, this research is determining on how geographic distance and economic distance against spillover strength. By means of the company‘s level panel data of heavy and medium industrial survey result by the National Statistical Bureau in local regency/municipality level ranging from 2008 to 2015 and 2010 output input table to see the vertical industry relation, the outcomes may show that both company accepting positive and significant impact on productivity spillover of the same industrial sector, and other industrial sector in the same region. Nevertheless, the more far the area geographically, the less its impact. Productivity spillover is also determined from upstream dan downstream industries concentrating in the same region. However, the economic distance effect is not identified on the upstream level. Hence, the policy implication of the research result is to encourage and shaping the downstream industries, facilitate technology transfer from upstream companies, and periodically evaluate industrial estates.Keywords: agglomeration, downstream, productivity, spillover, upstream.Abstrak : Penelitian ini bertujuan untuk menganalisis pengaruh aglomerasi terhadap produktivitas perusahaan dari dua faktor penting aglomerasi, yaitu intraindustry (lokalisasi) dan crossindustry spillover (urbanisasi) dan mengkaji bagaimana pengaruhnya jika aglomerasi tersebut berasal dari industri upstream atau downstream dari perusahaan tersebut. Selain itu penelitian ini juga ingin membuktikan pengaruh jarak geografis dan jarak ekonomi terhadap kekuatan spillover. Dengan menggunakan data panel level perusahaan dari hasil survei industri besar dan sedang BPS untuk tingkat kabupaten kota dengan rentang waktu tahun 2008-2015 dan Tabel input output 2010 untuk melihat hubungan vertikal industri, diperoleh kesimpulan bahwa perusahaan menerima dampak spillover produktivitas yang positif dan signifikan dari berkumpulnya perusahaan dari sektor industri yang sama, maupun dari sektor industri lain yang berada di wilayah yang sama. Namun makin jauh jarak geografisnya, pengaruh tersebut semakin kecil. Spillover produktivitas juga diperoleh dari perusahaan sektor upstream dan downstream yang berkumpul diwilayah yang sama dengan perusahaan tersebut. Makin dekat jarak ekonominya makin besar pengaruh spillover dari sektor downstream. Pengaruh jarak ekonomi ini tidak ditemukan pada sektor upstream. Dengan demikian implikasi kebijakan dari hasil penelitian yaitu mendorong terciptanya hilirisasi industri, memfalitasi transfer teknologi dari perusahaan upstream, dan melakukan evaluasi kawasan industri secara berkala.Kata kunci: aglomerasi, downstream, produktivitas, spillover, upstream.


Author(s):  
Baudouin Le Charlier ◽  
Minh Thanh Khong ◽  
Christophe Lecoutre ◽  
Yves Deville

The smart table constraint represents a powerful modeling tool that has been recently introduced. This constraint allows the user to represent compactly a number of well-known (global) constraints and more generally any arbitrarily structured constraints, especially when disjunction is at stake. In many problems, some constraints are given under the basic and simple form of tables explicitly listing the allowed combinations of values. In this paper, we propose an algorithm to convert automatically any (ordinary) table into a compact smart table. Its theoretical time complexity is shown to be quadratic in the size of the input table. Experimental results demonstrate its compression efficiency on many constraint cases while showing its reasonable execution time. It is then shown that using filtering algorithms on the resulting smart table is more efficient than using state of the art filtering algorithms on the initial table.


Author(s):  
S. Fedorov ◽  
K. Kitanina ◽  
V. Khromushin ◽  
O. Khromushin

Mathematical device of algebraic model of constructive logic has been used for many years for multivariate analysis in medicine and biology. The resulting mathematical model is represented by a set of output components in the form of factors indicating the detection restrictions, which are united by the sign of con-junction (indicating joint influence). Each resulting component is characterized by a capacity, which is the es-sence of the number of rows in the table with the same factors and their intervals of definition. These capacities characterize the degree of influence of the resulting component on the overall result. The input table must not contain contradictions (when the goal is achieved and not achieved when the same values of the factors). For this purpose, the computer program provides for an exception to those target lines, which coincide with non-target rows. However, this is not always acceptable in cases of a large number of matching target lines and unit numbers of non-target rows or vice versa, because a large number of cases is excluded because of a single non-target rows or single target lines. These contradictions arise, primarily, due to the probabilistic nature of the cases. This is clearly seen in the monitoring of mortality. In this article the authors propose three ways optimum yield conflicting source data, based on the excess multiplicity of frequencies matching target and non-target cases and estimates of confidence intervals. The pro-posed methods are examined by analyzing data on deaths of persons aged 18 years and older, residents of the Tula region for 2007-2014 (total 208269 cases). An age cohort 45-54 years is a goal of study. The application of methods of optimum yield conflicting source data is a necessity, which not only im-proves the mathematical model, but, in some cases, is the only way to perform multivariate analysis. All pro-posed methods have their own scope of use, depending on the circumstances.


1939 ◽  
Vol 35 (3) ◽  
pp. 494-505 ◽  
Author(s):  
P. M. S. Blackett ◽  
F. C. Williams

When the differential analyser (1) is being used it is often necessary to supply to the machine information in the form of a functional relation between variables occurring in the equation. This is usually done by keeping a pointer on a graph on an input table. The x-coordinate lead screw of the input table is driven by the machine, and the y-coordinate lead screw is rotated by hand so as to keep the pointer on the given curve. The disadvantages of this method, namely the necessity for the continuous attention of an operator and the possibility of personal errors, would be obviated by the use of an automatic follower instead of a hand control.


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