Computer Modeling of Underwater Communication Channel

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Alexander Andonov ◽  
◽  
◽  
Keyword(s):  
Information Transfer ◽  
Communication Channel ◽  
Underwater Communication ◽  
Output Data ◽  
Spreading Factor ◽  
Input And Output ◽  
Wide Range ◽  
Basic Parameters ◽  
Data Files ◽  
Improved Model

On the basis of the latest developments, an improved model of underwater communication channel is presented. A set of programs to allow calculation of the basic parameters of the channel over a wide range of parameters has been created. Mathematical models for calculating the spreading factor are developed. A process of creating the model is reviewed, so that the resulting model should become easily expandable. Userfriendly information-transfer interface is set between the programs and input and output data files.

scholarly journals Exploitation of network-segregated CPU resources in CMS

2021 ◽  
Vol 251 ◽  
pp. 02020
Author(s):  
C. Acosta-Silva ◽  
A. Delgado Peris ◽  
J. Flix ◽  
J. Frey ◽  
J.M. Hernández ◽  
...  
Keyword(s):  
File System ◽  
Operation Mode ◽  
Network Connectivity ◽  
Application Software ◽  
Output Data ◽  
Seamless Integration ◽  
Relay Communications ◽  
Input And Output ◽  
Shared File ◽  
Data Files

CMS is tackling the exploitation of CPU resources at HPC centers where compute nodes do not have network connectivity to the Internet. Pilot agents and payload jobs need to interact with external services from the compute nodes: access to the application software (CernVM-FS) and conditions data (Frontier), management of input and output data files (data management services), and job management (HTCondor). Finding an alternative route to these services is challenging. Seamless integration in the CMS production system without causing any operational overhead is a key goal. The case of the Barcelona Supercomputing Center (BSC), in Spain, is particularly challenging, due to its especially restrictive network setup. We describe in this paper the solutions developed within CMS to overcome these restrictions, and integrate this resource in production. Singularity containers with application software releases are built and pre-placed in the HPC facility shared file system, together with conditions data files. HTCondor has been extended to relay communications between running pilot jobs and HTCondor daemons through the HPC shared file system. This operation mode also allows piping input and output data files through the HPC file system. Results, issues encountered during the integration process, and remaining concerns are discussed.

scholarly journals DETERMINATION OF PROBABILITY - TEMPORARY CHARACTERISTICS OF COMMUNICATION CHANNELS WHEN TRANSMITTING PRIORITY AND NON-PRIORITY DATA.

2019 ◽  
Vol 2019 (3) ◽  
pp. 20-27
Author(s):  
Sh Karimov ◽  
Keyword(s):  
Computer Networks ◽  
Petri Net ◽  
Information Transfer ◽  
Communication Channel ◽  
Stationary Mode ◽  
Input Stream ◽  
Distinctive Features ◽  
Basic Parameters

The article discusses the issues of finding the main indicators of the quality of the communication channel in computer networks when transmitting priority and non-priority data at different frame lengths. To solve this problem, methods of the theory of queuing using Petri nets are proposed. The proposed method for calculating the temporal and probabilistic characteristics of computer networks allows determinining the main indicators of the quality of the channel in a stationary mode when transmitting priority and non-priority data of computing tools at various values of the input stream intensity. To simulate the transmission of priority and non-priority frames, a color temporary Petri net is proposed. An algorithm is proposed for determining the basic parameters of information transfer, based on the use of the Little formula and allowing one to determine the number of frames in a queue, the average time a frame has been in a queue, and other distinctive features of the algorithm include the use of the window mode. The proposed technique allows to reduce the loss of priority frames of trajectory information and ensuring their transmission in real time.

scholarly journals Customization, extension and reuse of outdated hydrogeological software

2020 ◽  
Vol 18 ◽  
pp. 1-11
Author(s):  
A. Serrano-Juan ◽  
R. Criollo ◽  
E. Vázquez-Suñé ◽  
M. Alcaraz ◽  
C. Ayora ◽  
...  
Keyword(s):  
Case Studies ◽  
Computation Time ◽  
Quality Analysis ◽  
Output Data ◽  
Software Developers ◽  
Input And Output ◽  
Data Files

Each scientist is specialized in his or her field of research and in the tools that he or she uses during the research in a specified site. Thus, he or she is the most suitable person for improving the tools by overcoming their limitations to realize faster and higher quality analysis. However, most scientists are not software developers. Hence, it is necessary to provide them with an easy approach that enables non-software developers to improve and customize their tools. This paper presents an approach for easily improving and customizing any hydrogeological software. It is the result of experiences with updating several interdisciplinary case studies. The main insights of this approachhave been demonstrated using four examples: MIX (FORTRAN-based), BrineMIX (C++-based), EasyQuim and EasyBal (both spreadsheet-based). The improved software has been proven to be a better tool for enhanced analysis by substantially reducing the computation time and the tedious processing of the input and output data files.

Ultimate resolution and information in electron microscopy

1991 ◽  
Vol 49 ◽  
pp. 496-497
Author(s):  
D. Van Dyck
Keyword(s):  
Electron Microscopy ◽  
Electron Microscope ◽  
Transfer Function ◽  
Information Transfer ◽  
Communication Channel ◽  
Structural Information ◽  
Information Rate ◽  
Noise Power ◽  
Signal Power ◽  
Imaging Device

An (electron) microscope can be considered as a communication channel that transfers structural information between an object and an observer. In electron microscopy this information is carried by electrons. According to the theory of Shannon the maximal information rate (or capacity) of a communication channel is given by C = B log2 (1 + S/N) bits/sec., where B is the band width, and S and N the average signal power, respectively noise power at the output. We will now apply to study the information transfer in an electron microscope. For simplicity we will assume the object and the image to be onedimensional (the results can straightforwardly be generalized). An imaging device can be characterized by its transfer function, which describes the magnitude with which a spatial frequency g is transferred through the device, n is the noise. Usually, the resolution of the instrument ᑭ is defined from the cut-off 1/ᑭ beyond which no spadal information is transferred.

scholarly journals A Profit Distribution Model of Reverse Logistics Based on Fuzzy DEA Efficiency—Modified Shapley Value

2021 ◽  
Vol 13 (13) ◽  
pp. 7354
Author(s):  
Jiekun Song ◽  
Xiaoping Ma ◽  
Rui Chen
Keyword(s):  
Shapley Value ◽  
Reverse Logistics ◽  
Service Providers ◽  
Third Party ◽  
Output Data ◽  
Profit Distribution ◽  
Logistics Service ◽  
Input And Output ◽  
Value Model ◽  
Fuzzy Dea

Reverse logistics is an important way to realize sustainable production and consumption. With the emergence of professional third-party reverse logistics service providers, the outsourcing model has become the main mode of reverse logistics. Whether the distribution of cooperative profit among multiple participants is fair or not determines the quality of the implementation of the outsourcing mode. The traditional Shapley value model is often used to distribute cooperative profit. Since its distribution basis is the marginal profit contribution of each member enterprise to different alliances, it is necessary to estimate the profit of each alliance. However, it is difficult to ensure the accuracy of this estimation, which makes the distribution lack of objectivity. Once the actual profit share deviates from the expectation of member enterprise, the sustainability of the reverse logistics alliance will be affected. This study considers the marginal efficiency contribution of each member enterprise to the alliance and applies it to replace the marginal profit contribution. As the input and output data of reverse logistics cannot be accurately separated from those of the whole enterprise, they are often uncertain. In this paper, we assume that each member enterprise’s input and output data are fuzzy numbers and construct an efficiency measurement model based on fuzzy DEA. Then, we define the characteristic function of alliance and propose a modified Shapley value model to fairly distribute cooperative profit. Finally, an example comprising of two manufacturing enterprises, one sales enterprise, and one third-party reverse logistics service provider is put forward to verify the model’s feasibility and effectiveness. This paper provides a reference for the profit distribution of the reverse logistics.

scholarly journals Optimising the AR Engraved Structure on Light-Guide Facets for a Wide Range of Wavelengths

Optics ◽  
2020 ◽  
Vol 2 (1) ◽  
pp. 25-42
Author(s):  
Ioseph Gurwich ◽  
Yakov Greenberg ◽  
Kobi Harush ◽  
Yarden Tzabari
Keyword(s):  
Theoretical Analysis ◽  
Light Guide ◽  
Spectral Band ◽  
Angular Range ◽  
The Past ◽  
Input And Output ◽  
Wide Range ◽  
The Given ◽  
Theoretical Results ◽  
Shape And Size

The present study is aimed at designing anti-reflective (AR) engraving on the input–output surfaces of a rectangular light-guide. We estimate AR efficiency, by the transmittance level in the angular range, determined by the light-guide. Using nano-engraving, we achieve a uniform high transmission over a wide range of wavelengths. In the past, we used smoothed conical pins or indentations on the faces of light-guide crystal as the engraved structure. Here, we widen the class of pins under consideration, following the physical model developed in the previous paper. We analyze the smoothed pyramidal pins with different base shapes. The possible effect of randomization of the pins parameters is also examined. The results obtained demonstrate optimized engraved structure with parameters depending on the required spectral range and facet format. The predicted level of transmittance is close to 99%, and its flatness (estimated by the standard deviation) in the required wavelengths range is 0.2%. The theoretical analysis and numerical calculations indicate that the obtained results demonstrate the best transmission (reflection) we can expect for a facet with the given shape and size for the required spectral band. The approach is equally useful for any other form and of the facet. We also discuss a simple way of comparing experimental and theoretical results for a light-guide with the designed input and output features. In this study, as well as in our previous work, we restrict ourselves to rectangular facets. We also consider the limitations on maximal transmission produced by the size and shape of the light-guide facets. The theoretical analysis is performed for an infinite structure and serves as an upper bound on the transmittance for smaller-size apertures.

CONVERGENCE IMPROVEMENT OF ADAPTIVE LATTICE ALGORITHM WITH FUZZY BASED ADAPTIVE GAIN

1999 ◽  
Vol 09 (01n02) ◽  
pp. 125-132
Author(s):  
GEUN-TAEK RYU ◽  
DAE-SUNG KIM ◽  
DAE-YOUNG LEE ◽  
SUNG-HWAN HAN ◽  
HYEON-DEOK BAE
Keyword(s):  
Adaptive Filters ◽  
Communication Channel ◽  
Long Distance ◽  
Input And Output ◽  
Forward Prediction ◽  
Adaptation Procedure ◽  
Distance Communication ◽  
One Step ◽  
Input Variables ◽  
Lattice Algorithm

The choice of the adaptive gain is important to the performance of LMS-based adaptive filters. Depending on application areas, the realization structure of the filters is also important. This letter presents an adaptive lattice algorithm which adjusts the adaptive gain of LMS using fuzzy if-then rules determined by matching input and output variables during adaptation procedure. In each lattice filter stage, this filter adjusts the adaptive gain as the output of the fuzzy logic which has two input variables, normalized squared forward prediction error and one step previous adaptive gain. The proposed algorithm is applied to echo canceling problem of long distance communication channel. The simulation results are compared with NLMS on TDL and lattice structures.

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