Two-Phase Cycle DBA (TCDBA) for Differentiated Services on EPON

2009 ◽  
Vol E92-B (9) ◽  
pp. 2823-2837 ◽  
Author(s):  
Hye Kyung LEE ◽  
Won-Jin YOON ◽  
Tae-Jin LEE ◽  
Hyunseung CHOO ◽  
Min Young CHUNG
Keyword(s):  
Differentiated Services ◽  
Two Phase ◽  
Phase Cycle

scholarly journals A novel two-phase cycle algorithm for effective cyber intrusion detection in edge computing

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Yiguang Gong ◽  
Yunping Liu ◽  
Chuanyang Yin
Keyword(s):  
Intrusion Detection ◽  
Optimal Parameter ◽  
Edge Computing ◽  
Cloud Services ◽  
Second Phase ◽  
Pareto Optimal ◽  
Two Phase ◽  
Multi Objective ◽  
Phase Cycle ◽  
Positive Rate

AbstractEdge computing extends traditional cloud services to the edge of the network, closer to users, and is suitable for network services with low latency requirements. With the rise of edge computing, its security issues have also received increasing attention. In this paper, a novel two-phase cycle algorithm is proposed for effective cyber intrusion detection in edge computing based on a multi-objective genetic algorithm (MOGA) and modified back-propagation neural network (MBPNN), namely TPC-MOGA-MBPNN. In the first phase, the MOGA is employed to build a multi-objective optimization model that tries to find the Pareto optimal parameter set for MBPNN. The Pareto optimal parameter set is applied for simultaneous minimization of the average false positive rate (Avg FPR), mean squared error (MSE) and negative average true positive rate (Avg TPR) in the dataset. In the second phase, some MBPNNs are created based on the parameter set obtained by MOGA and are trained to search for a more optimal parameter set locally. The parameter set obtained in the second phase is used as the input of the first phase, and the training process is repeated until the termination criteria are reached. A benchmark dataset, KDD cup 1999, is used to demonstrate and validate the performance of the proposed approach for intrusion detection. The proposed approach can discover a pool of MBPNN-based solutions. Combining these MBPNN solutions can significantly improve detection performance, and a GA is used to find the optimal MBPNN combination. The results show that the proposed approach achieves an accuracy of 98.81% and a detection rate of 98.23% and outperform most systems of previous works found in the literature. In addition, the proposed approach is a generalized classification approach that is applicable to the problem of any field having multiple conflicting objectives.

scholarly journals Primary Productivity and heterotrophic activity in an enclosed marine area of central Patagonia (Puyuhuapi channel; 44° S, 73° W)

2012 ◽  
Vol 9 (5) ◽  
pp. 5929-5968 ◽  
Author(s):  
G. Daneri ◽  
P. Montero ◽  
L. Lizárraga ◽  
R. Torres ◽  
J. L. Iriarte ◽  
...  
Keyword(s):  
Chlorophyll A ◽  
Mixed Layer ◽  
Secondary Production ◽  
Winter Season ◽  
High Pco2 ◽  
Two Phase ◽  
Chl A ◽  
Phase Cycle ◽  
Over The Top ◽  
Bacterial Secondary Production

Abstract. We assessed temporal variability in phytoplankton biomass, Chlorophyll a, nutrient availability, Gross Primary Production (GPP), community respiration (CR), and bacterial secondary production (BSP) over a year of monthly observations (October 2007 to October 2008) at a fixed station in the Puyuhuapi fjord, Chilean Patagonia (44° S, 73° W). A set of in situ observations gathered over two consecutive spring-summer seasons, and one autumn-winter season in the middle, has made it possible to connect the two-phase (i.e. productive season/non-productive season) pattern of Chlorophyll a (Chl a) variability shown by satellite data with a two-phase cycle in GPP, CR, and the composition of phytoplankton assemblages. Estimates of annual GPP and CR, integrated over the top 20 meters of the water column, were 533 and 537 g C m−2 yr−1, respectively. Low values of pCO2 were measured in mixed layer autotrophic waters (GPP/CR > 1) while high pCO2 levels were measured in mixed layer heterotrophic waters (GPP/CR < 1). Bacterial Secondary Production (BSP) was significantly and positively correlated with GPP (r = 0.6, p < 0.05, n = 24) and Chl a (r = 0.4, p < 0.05, n = 24) on an annual cycle basis. The winter drop in bacterioplankton (both bacteria and archea) activity (from 0.9 ± 0.6 g C m−2 d−1 to 0.6 ± 0.3 g C m−2 d−1) was not as pronounced as the winter drop in phytoplankton activity (from 1.1 ± 1.12 g C m−2 d−1 to 0.1 ± 0.09 g C m−2 d−1). It is hypothesized that dissolved organic matter (DOM) of terrestrial origin plays an important role (especially in winter) supporting bacterial activity in the Puyuhuapi fjord.

scholarly journals Dynamic Bandwidth Allocation Algorithm with Two-Phase Cycle for Ethernet PON

2007 ◽  
Vol 14C (4) ◽  
pp. 349-358
Author(s):  
Won-Jin Yoon ◽  
Hye-Kyung Lee ◽  
Min-Young Chung ◽  
Tae-Jin Lee ◽  
Hyun-Seung Choo
Keyword(s):  
Bandwidth Allocation ◽  
Dynamic Bandwidth Allocation ◽  
Two Phase ◽  
Allocation Algorithm ◽  
Phase Cycle ◽  
Dynamic Bandwidth ◽  
Bandwidth Allocation Algorithm

scholarly journals High-precision two-phase laser rangefinder PFSD-1,2

2019 ◽  
Vol 97 ◽  
pp. 06042 ◽  
Author(s):  
Yegisabeth Hayrapetyan ◽  
Hovseph Petrosyan ◽  
Hovnan Hunanyan ◽  
Artyom Tsaturyan
Keyword(s):  
High Precision ◽  
Phase Error ◽  
Technical Problem ◽  
Experimental Studies ◽  
Modulation Method ◽  
Phase Plate ◽  
Linear Measurements ◽  
High Quality ◽  
Two Phase ◽  
Phase Cycle

Performing high-precision linear measurements is one of the main tasks of modern engineering geodesy. Consequently, the development and creation of high-precision laser rangefinders and refractometers with a relative measurement error of not more than 3.10-7, becomes an urgent scientific and technical problem. Wide theoretical and experimental studies in the problem laboratory of geodetic measurements of NUACA have accumulated a sufficient amount of experimental results for the construction of modern high-precision light meter with the determination of the residual part of the phase cycle with an error of 0.03-0.05 mm. The article discusses issues related to improving the accuracy of linear measurements developed in the NUACA of high-precision light rangefinder. A two-phase modulation measurement method is proposed, when signals shifted by 180° are formed optically using a phase plate at λ/2. This modulation method of linear measurements provided the phase error of linear measurements mφ = 0.03-0.05 mm. The article also discusses the issue of reducing the modulation power. For this purpose, it is proposed to install a high-quality buffer Q-resonator between the high-quality light modem and the low-quality microwave oscillator.

scholarly journals A Novel Two-phase Cycle Algorithm for Effective Cyber Intrusion Detection in Edge Computing

2020 ◽  
Author(s):  
Yiguang Gong ◽  
Yunping Liu ◽  
Chuanyang Yin
Keyword(s):  
Intrusion Detection ◽  
Optimal Parameter ◽  
Edge Computing ◽  
Cloud Services ◽  
Second Phase ◽  
Pareto Optimal ◽  
Two Phase ◽  
Multi Objective ◽  
Phase Cycle ◽  
Positive Rate

Abstract Edge computing extends traditional cloud services to the edge of the network, closer to users, and is suitable for network services with low latency requirements. With the rise of edge computing, its security issues have also received more and more attention. In this paper, a novel two-phase cycle algorithm is proposed for effective cyber intrusion detection in edge computing based on multi-objective genetic algorithm (MOGA) and modified back propagation neural network (MBPNN), namely TPC-MOGA-MBPNN. In the first phase, the MOGA is employed to build multi-objective optimization model that tries to find Pareto optimal parameter set for MBPNN. The Pareto optimal parameter set is applied for simultaneous minimization of average false positive rate (Avg FPR), mean squared error (MSE), and negative average true positive rate (Avg TPR) in the dataset. In the second phase some MBPNNs are created based on the parameter set obtained by MOGA and are trained to search for more optimal parameter set locally. The parameter set obtained in the second phase is used as the input of the first phase, and the training process is repeated until the termination criteria are reached. Benchmark dataset namely KDD cup 1999 is used to demonstrate and validate the performance of the proposed approach for intrusion detection. The proposed approach can discover a pool of MBPNN based solutions. Combining these MBPNN can significantly improve prediction performance, and a GA is used to find the optimal MBPNN combination. The result shows that the proposed approach could reach an accuracy of 98.81% and a detection rate of 98.23%, which outperform most systems of previous works found in the literature. In addition, the proposed approach is a generalized classification approach that is applicable to the problem of any field having multiple conflicting objectives.

Effect of Shock Loading on the Microstructure of Uniloy 326

1974 ◽  
Vol 32 ◽  
pp. 504-505
Author(s):  
K. P. Staudhammer ◽  
L. E. Murr
Keyword(s):  
Grain Size ◽  
Shock Loading ◽  
Current Investigation ◽  
Two Phase ◽  
05 C ◽  
Shock Deformation ◽  
Heat Treated

The effect of shock loading on a variety of steels has been reviewed recently by Leslie. It is generally observed that significant changes in microstructure and microhardness are produced by explosive shock deformation. While the effect of shock loading on austenitic, ferritic, martensitic, and pearlitic structures has been investigated, there have been no systematic studies of the shock-loading of microduplex structures.In the current investigation, the shock-loading response of millrolled and heat-treated Uniloy 326 (thickness 60 mil) having a residual grain size of 1 to 2μ before shock loading was studied. Uniloy 326 is a two phase (microduplex) alloy consisting of 30% austenite (γ) in a ferrite (α) matrix; with the composition.3% Ti, 1% Mn, .6% Si,.05% C, 6% Ni, 26% Cr, balance Fe.

Exsolution and inversion in pigeonite from the Whin Sill, Northern England

1978 ◽  
Vol 36 (1) ◽  
pp. 474-475
Author(s):  
P.P.K. Smith
Keyword(s):  
High Temperature ◽  
Low Temperature ◽  
Homogeneous Nucleation ◽  
Silicate Mineral ◽  
Antiphase Boundaries ◽  
Two Phase ◽  
Primitive Form ◽  
The Core ◽  
Nucleation Mechanisms ◽  
And Inversion

Grains of pigeonite, a calcium-poor silicate mineral of the pyroxene group, from the Whin Sill dolerite have been ion-thinned and examined by TEM. The pigeonite is strongly zoned chemically from the composition Wo8En64FS28 in the core to Wo13En34FS53 at the rim. Two phase transformations have occurred during the cooling of this pigeonite:- exsolution of augite, a more calcic pyroxene, and inversion of the pigeonite from the high- temperature C face-centred form to the low-temperature primitive form, with the formation of antiphase boundaries (APB's). Different sequences of these exsolution and inversion reactions, together with different nucleation mechanisms of the augite, have created three distinct microstructures depending on the position in the grain.In the core of the grains small platelets of augite about 0.02μm thick have farmed parallel to the (001) plane (Fig. 1). These are thought to have exsolved by homogeneous nucleation. Subsequently the inversion of the pigeonite has led to the creation of APB's.

Sign in / Sign up

Export Citation Format

Share Document