Decentralized Detection of Signals with Joint Clayton Copula Distribution Model

2018 ◽  
Author(s):  
Hadi Kasasbeh ◽  
Sushmita Challa ◽  
Lei Cao ◽  
Ramanarayanan Viswanathan
Keyword(s):  
Distribution Model ◽  
Decentralized Detection ◽  
Clayton Copula ◽  
Detection Of Signals

Improvements on the gaseous detector device

1986 ◽  
Vol 44 ◽  
pp. 630-631 ◽  
Author(s):  
G.D. Danilatos
Keyword(s):  
Gaseous Medium ◽  
The Other ◽  
Beam Specimen ◽  
Thin Wires ◽  
Interference Noise ◽  
Backscattered Electron ◽  
Detection Of Signals ◽  
Environmental Sem

The possibility of placing the specimen in a gaseous medium in the environmental SEM (ESEM) has created novel ways for detection of signals from the beam-specimen interactions. It was originally reported by Oanilatos that the ionization produced by certain signals inside the conditioning medium can be used to produce images. The aim of this report is to demonstrate some of the improvements on the system that have occurred thereafter.Two straight thin wires are aligned horizontally along a direction normal to the direction of the two scintillator backscattered electron (BSE) detectors reported elsewhere. The free end tips of the wires are about 5 mm apart halfway between the specimen and the pressure limiting aperture (specimen distance = 1.5 mm). The other end of each wire makes contact with the input of a separate preamplifier, two of which are built inside a shielding aluminum stub. With such a design, interference noise from the input cables is avoided.

Detection of signals with the orthogonal basis of the Gauss–Hermite functions

2018 ◽  
Vol 1 (1) ◽  
pp. 48-61
Author(s):  
D. A. Balakin ◽  
◽  
S. S. Churkin ◽  
V. V. Shtykov ◽  
◽  
...  
Keyword(s):  
Orthogonal Basis ◽  
Hermite Functions ◽  
Detection Of Signals

Statistical distribution model of wsn node spacing

2014 ◽  
Author(s):  
Junhui Mei ◽  
Xidong Zhang ◽  
Heng Zhang ◽  
Guojun Lai ◽  
Guixia Kang
Keyword(s):  
Statistical Distribution ◽  
Distribution Model

Detection of Signals in Nongaussian Nonstationary Interference From the Underlying Surface

2016 ◽  
Vol 5 (4) ◽  
pp. 23-39
Author(s):  
V.F. Kravchenko ◽  
◽  
O.V. Kravchenko ◽  
V.I. Lutsenko ◽  
I.V. Lutsenko ◽  
...  
Keyword(s):  
Underlying Surface ◽  
Detection Of Signals

MODEL DISTRIBUSI PERJALANAN PENDUDUK UNTUK PENENTUAN KORIDOR ‘LRT’ DI PULAU BATAM

2013 ◽  
Vol 12 (3) ◽  
Author(s):  
Djoko Prijo Utomo
Keyword(s):  
Network Performance ◽  
Travel Demand ◽  
Mass Transit ◽  
Distribution Model ◽  
Economic Activities ◽  
Transit System ◽  
Trip Distribution ◽  
Home Interview ◽  
Interview Survey ◽  
Private Car

In consequence of the increasing of regional economic activities in Pulau Batam, a reliable transportation system is required. Decreasing road network performance as a result of increasing traffic volume needs a strategic planning to anticipate the worsening condition in the future. One of the solutions is by providing mass transit system which is expected to attract private car users. Therefore, determination of potential corridor of mass transit system need to be identified so that the system provide better accessibility. Trip pattern in Pulau Batam must be known by developing trip distribution model. The trip distribution model is calibrated using origin-destination (O-D) data that is based on home interview survey. The validated model will be used to forecast and simulate travel demand onto transport network. Result of model calibration process shows mean trip length difference between model and survey is equal 0.141 %. From simulation of trip assignment is obtained that potential corridor for mass transit system using LRT is Batu Ampar – Batu Aji via Muka Kuning. Passenger forecast in the year 2030 is 193,990 passenger/day (2 directions).

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