scholarly journals A Method of Optimizing Network Topology Structure Combining Viterbi Algorithm and Bayesian Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaoxiao Shi
Keyword(s):  
Performance Optimization ◽  
Viterbi Algorithm ◽  
Flow Distribution ◽  
Bottom Layer ◽  
Bayesian Algorithm ◽  
Recommendation Algorithm ◽  
Average Value ◽  
Network Bandwidth ◽  
5G Network ◽  
Overall Performance

With Internet entering all walks of life, development of internet and usage expansion demand better performance, especially the application of 5G network that adopts NAS networking mode. Some of the network bandwidth cannot fully support the current network demand, which causes network fluctuations and other concerns. In this paper, a method for optimizing the topological structure of the bottom layer of the communication network is proposed that has outage performance close to optimal routing scheme. In specific, path in areas with poor network conditions is first optimized using Viterbi algorithm. Then, network element nodes on the path are optimized using Bayes recommendation algorithm for reasonable flow distribution. Dual planning of improved Viterbi algorithm is used to realize the main and standby path planning, and then, Bayesian recommendation algorithm based on the average value is used to optimize the network elements. Therefore, it is very efficient to realize overall performance optimization.

scholarly journals Evaluating the Performance of Three Popular Web Mapping Libraries: A Case Study Using Argentina’s Life Quality Index

2020 ◽  
Vol 9 (10) ◽  
pp. 563
Author(s):  
Alejandro Zunino ◽  
Guillermo Velázquez ◽  
Juan Pablo Celemín ◽  
Cristian Mateos ◽  
Matías Hirsch ◽  
...  
Keyword(s):  
Life Quality ◽  
Web Technologies ◽  
Web Mapping ◽  
Network Bandwidth ◽  
Web Map ◽  
Raster Maps ◽  
Dynamic Web ◽  
Network Usage ◽  
Overall Performance

Recent Web technologies such as HTML5, JavaScript, and WebGL have enabled powerful and highly dynamic Web mapping applications executing on standard Web browsers. Despite the complexity for developing such applications has been greatly reduced by Web mapping libraries, developers face many choices to achieve optimal performance and network usage. This scenario is even more complex when considering different representations of geographical data (raster, raw data or vector) and variety of devices (tablets, smartphones, and personal computers). This paper compares the performance and network usage of three popular JavaScript Web mapping libraries for implementing a Web map using different representations for geodata, and executing on different devices. In the experiments, Mapbox GL JS achieved the best overall performance on mid and high end devices for displaying raster or vector maps, while OpenLayers was the best for raster maps on all devices. Vector-based maps are a safe bet for new Web maps, since performance is on par with raster maps on mid-end smartphones, with significant less network bandwidth requirements.

Hydraulic Performance Optimization on Inlet-Outlet of Pumped Storage Plant

2013 ◽  
Vol 405-408 ◽  
pp. 491-494
Author(s):  
Ya Nan Gao ◽  
Jun Nan Yi ◽  
Rui Cun Zhao ◽  
Li Fen Chen ◽  
Xu Min Wu
Keyword(s):  
Numerical Simulation ◽  
Performance Optimization ◽  
Flow Distribution ◽  
Head Loss ◽  
Hydraulic Performance ◽  
Flow Coefficient ◽  
Head Loss Coefficient ◽  
Uniform Flow Distribution ◽  
Orifice Flow ◽  
Pumped Storage

This paper, using 3-D numerical simulation and the hydraulic model tests, presents an analysis on hydraulic performance of pumped storage plant inlet/outlet. It discusses the uneven flow coefficient, coefficient of orifice flow distribution and head loss coefficient of inlet/outlet in different sizes. The optimized size has a uniform flow distribution, with less to produce unwanted eddies.

scholarly journals IMPROVING THE QUALITY CHARACTERISTICS OF THE 5G / NR NETWORK USING THE DECOMPOSITION METHOD

2020 ◽  
pp. 35-45
Author(s):  
Irina Strelkovskaya ◽  
Kateryna Klymenko ◽  
Volodymyr Tolmak
Keyword(s):  
Delay Time ◽  
Software Defined Radio ◽  
Decomposition Method ◽  
High Speed ◽  
Mobile Network ◽  
Packet Delay ◽  
Contour Method ◽  
Practical Significance ◽  
Average Value ◽  
5G Network

The paper examines a 5G mobile network based on the NR (New Radio) technology.The 5G network allows you to significantly expand the range of high-speed services, including Internet of Things services. Recommendation 3GPP TR 38.913 defines a group of 5G network services, which include technologies with defined packet latency. The development of these technologies requires the operator to ensure the required values of the QoE characteristics. 5G/NR is based on Software Defined Radio (SDR) and Software Defined Networking (SDN) backbones. To maintain the QoE characteristics for various groups of services in a 5G / NR network, a decomposition method is used. This method allows to create a topological network configuration for various conditions of providing services. In this case, an important issue in the implementation of the decomposition method is the ability to determine the QoE characteristics. The solution of this problem is complex due to the fact that while being dynamic, the network has a sophisticated architecture. Moreover, in the process of dividing one network into several subnets, there is a possibility for some physical resources to be simultaneously involved in several subnets. The purpose of this work is to study the average packet delay time for a network by means of the tensor contour method based on the decomposition. This method allows to simultaneously explore both the structural and functional characteristics of a network. We propose to perform decomposition of the 5G/NR network through dividing it into subnets. We have evaluated the following characteristics for the mentioned network: the average value of packet delay time in the loops of each subnet, the average value of packet delay time in the border branches of each subnet, the average value of packet delay time in the border branches for the whole network. These results have the practical significance for design and further operation of an e-health network. Precisely, they are applicable to select a network topology and to estimate characteristics of the necessary equipment.

scholarly journals Dissolved organic carbon vertical movement and carbon accumulation in West Siberian peatlands

2021 ◽  
Author(s):  
Evgeny A. Zarov ◽  
Elena D. Lapshina ◽  
Iris Kuhlmann ◽  
Ernst-Detlef Schulze
Keyword(s):  
Organic Carbon ◽  
Dissolved Organic Carbon ◽  
Accumulation Rate ◽  
Bottom Layer ◽  
Vertical Movement ◽  
Carbon Accumulation ◽  
Downward Movement ◽  
Average Value ◽  
Lack Of Information ◽  
Lake Bottom

Abstract. Dissolved organic carbon is an additional path of carbon cycle but there is a lack of information about its distribution in peatland and rates of downward movement. We dated seven peat cores (separately the dissolved (DOC) and particulate (POC) organic carbon) from Mukhrino peatland (typical zonal oligotrophic bog) in western Siberia to assess the date distribution between those two peat fractions. Our results revealed that the DOC is younger than POC for the surface peatland layers (0–150 cm) and older for the deeper layers. The date differences increases with depth and reaches 2000–3000 years at the bottom layer (430–530 cm). In our hypothesis this date discrepancy caused by more young DOC moving to the deeper and older peat layers. The estimated average value of DOC downward movement was 0.047 ± 0.019 cm yr−1. Th oldest dates found at the lake bottom and ancient riverbed were 10 053 and 10 989 cal yr BP correspondingly. For the whole period of peatland functioning the average peat accumulation rate was estimated as 0.067 ± 0.018 cm yr−1 (0.013–0.332 cm yr−1), the carbon accumulation rate was estimated as 38.56 ± 12.21 g С m−2 yr−1 (28.46–57.91 g С m−2 yr−1).

scholarly journals An Innovative Multicriteria Decision-Making Tool for Building Performance Optimization

2021 ◽  
Vol 11 (1) ◽  
pp. 6603-6608
Author(s):  
A. Serbouti ◽  
M. Rattal ◽  
E. M. Oualim ◽  
A. Mouhsen
Keyword(s):  
Sensitivity Analysis ◽  
Global Warming ◽  
Performance Optimization ◽  
Multicriteria Decision Making ◽  
Building Performance ◽  
Global Dynamic ◽  
Energy Efficient Buildings ◽  
Overall Performance ◽  
New Generation ◽  
The Impact

Buildings are accountable for nearly 40% of global greenhouse gas emissions. Their overall efficiency is thus a major pillar to optimize energy consumption and to mitigate engendered global warming. The current work takes part in this global dynamic. Indeed, we developed a standalone decision-aid tool based on sensitivity analysis, multiobjective optimization, and artificial neural networks to design a new generation of energy-efficient buildings. The tool aims to allow benefiting from Sobol’ sensitivity analysis samplings to instantaneously generate sensitivity indexes and perform multicriteria optimizations. This efficient process allows both understanding buildings’ complex behavior (by ranking the impact of the inputs parameters on the outputs and highlighting their interactions) and optimizing their overall performance. The main advantages of this method are the time gaining and the provision of relevant outputs to analyze the buildings’ design. The tool was successfully used to solve constrained 13-input parameters with 5-criteria on TRNSYS simulation program, considering the impact of global warming

scholarly journals Diagnosing Soil and Coconut Root Existence in Lontang Plantation of Manado City

2017 ◽  
Vol 21 (2) ◽  
pp. 99-108
Author(s):  
Zetly Estefanus Tamod ◽  
Wisje Kumolontang ◽  
Djony Kaunang
Keyword(s):  
Soil Profile ◽  
Direct Contact ◽  
Bottom Layer ◽  
Organic Content ◽  
Root Weight ◽  
Total Root Length ◽  
Soil Function ◽  
Average Value ◽  
North Sulawesi ◽  
Middle State

Province of North Sulawesi has been known as wave palm area (coconut). One of the plantations (coconut) potential become the farmer’s income and Locally-Generated Revenue (LGR). Therefore, it is important to maximize the soil function and root system of coconut. This research was aimed to diagnose a soil and coconut root existence in Lontang Plantation of Manado City. Soil observations were carried out on a single stretch of coconut plantations owned by community. The observation was done through the soil profile at a spacing of <1 m; 3 m and 5 m from the main tree of the coconut. The results showed that decreasing of C-Organic content in 1 m depth was not followed by enhancement of soil content weight, because C-Organic has spread equally in middle state and into the depth of >1 m on 3 and 5 m spacing profile from the main tree which categorized as low. Existence of total root length (Lrv) and dry root weight (Drv) shows that deeper soil will be more reduced of the root Lrv and Drv values along with the organic material in the bottom layer (> 1 m) lower than above it. The highest Lrv and Drv average value is located on the depth of 0 – 60 cm.  Specrol existence on 1 - 3 m spacing profile have showed many soft roots which grow on these spacing. The soft root has a roles to absorb nutrient and water for the plant and direct contact with the soil.

scholarly journals Impact of Inter-eNodeB Handover Pameters on Performance Optimization of LTE Networks

2018 ◽  
Vol 9 (1) ◽  
pp. 212
Author(s):  
Mina Malekzadeh ◽  
Fatemeh Rezaiee
Keyword(s):  
Mobile Communications ◽  
Performance Optimization ◽  
Lte Networks ◽  
Entry Condition ◽  
Handover Process ◽  
Overall Performance ◽  
Downlink Throughput ◽  
Optimal Settings

<span>Handover, as a resource consuming process, is an important issue in mobile communications which can highly affect the overall performance of the LTE networks. Since the handover process mainly relies on four main entry condition parameters, optimizing these parameters will in turn improve the handover process. In this work, we investigate the effectiveness of the four handover parameters by measuring the resulting downlink throughput and number of the required handovers. We furthermore determine the optimized values of the parameters through implementing different sets of experiments. Finally, by applying the obtained optimized parameters on two main LTE handover algorithms i.e. A3RSRP and A2A4RSRQ, their performance is compared regarding to different speeds of the mobile equipment. We determine how to accurately select the optimal settings for the parameters so that greater LTE performance can be achieved. </span>

Design and Performance of Vaneless Volutes for Radial Inflow Turbines: Part 3: Experimental Investigation of the Internal Flow Structure

1994 ◽  
Vol 208 (4) ◽  
pp. 295-302 ◽  
Author(s):  
S A MacGregor ◽  
A Whitfield ◽  
A B Mohd Noor
Keyword(s):  
Flow Structure ◽  
Flow Distribution ◽  
Internal Flow ◽  
Axial Direction ◽  
Secondary Flows ◽  
Turbine Performance ◽  
Show Evidence ◽  
Overall Performance ◽  
Inlet Conditions ◽  
And Performance

An experimental study is presented which considers the flow structure in the vaneless volute of a radial inflow turbine. The data show evidence of significant secondary flows around the volute. The volute tested generated a uniform ‘free vortex’ type structure and produced a uniform mass flow distribution around the periphery of the rotor. The flow within the volute was turbulent although this did not appear to have a detrimental effect on the overall performance of the volute. However, the turbine performance appears to be insensitive to variations in the inlet conditions in the axial direction.

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