A hybrid joint ML technique for CFO, timing offset, and channel estimations in an OFDMA uplink

2012 ◽  
Vol 27 (8) ◽  
pp. 1093-1104 ◽  
Author(s):  
V.P. Thafasal Ijyas ◽  
S.M. Sameer
Keyword(s):  
Timing Offset ◽  
Hybrid Joint

Experimental and FEA Evaluation of Hybrid Joint Strength of Single Lap joint

2011 ◽  
Vol 1 (9) ◽  
pp. 93-96
Author(s):  
S. S. Kadam S. S. Kadam ◽  
◽  
P. A. Dixit P. A. Dixit
Keyword(s):  
Joint Strength ◽  
Lap Joint ◽  
Single Lap Joint ◽  
Hybrid Joint

scholarly journals Investigation of joints from laser powder fusion processed and conventional material grades of 18MAR300 nickel maraging steel

2021 ◽  
Author(s):  
W. Tillmann ◽  
L. Wojarski ◽  
T. Henning
Keyword(s):  
Tensile Strength ◽  
Maraging Steel ◽  
Solid Material ◽  
High Volume ◽  
Heat Treatment Condition ◽  
Hybrid Joint ◽  
Hybrid Joints ◽  
Laser Systems ◽  
Conventional Material ◽  
The Individual

AbstractEven though the buildup rate of laser powder bed fusion processes (LPBF) has steadily increased in recent years by using more and more powerful laser systems, the production of large-volume parts is still extremely cost-intensive. Joining of an additively manufactured complex part to a high-volume part made of conventional material is a promising technology to enhance economics. Today, constructors have to select the most economical joining process with respect to the individual field of application. The aim of this research was to investigate the hybrid joint properties of LBPF and conventionally casted 18MAR300 nickel maraging steel depending on the manufacturing process and the heat treatment condition. Therefore, the microstructure and the strength of the hybrid joints manufactured by LPBF or vacuum brazing were examined and compared to solid material and joints of similar material. It was found that the vacuum-brazed hybrid joints using a 50.8-μm-thick AuNi18 foil provide a high tensile strength of 904 MPa which is sufficient for a broad field of application. Furthermore, the additively manufactured hybrid samples offered with 1998 MPa a tensile strength more than twice as high but showed a considerable impact of buildup failures to the strength in general.

Scale Distorted Target Recognition Based on Machine Vision

2014 ◽  
Vol 1006-1007 ◽  
pp. 760-763 ◽  
Author(s):  
Yu Chen ◽  
Fu Rong Huo ◽  
Li Qin Zheng
Keyword(s):  
Machine Vision ◽  
Background Noise ◽  
Target Recognition ◽  
Angular Distortion ◽  
Average Correlation ◽  
Optical Correlation ◽  
Hybrid Joint ◽  
Mach Filter ◽  
Human Eyes ◽  
Principle Of Maximum

<div> <p class="9"><span>Machine vision means to carry out measurement or judgment with machine instead of human eyes. In the field of target recognition, optical correlation technology is a main way to realize machine vision. Targets can be recognized and located with high precision</span><span> </span><span>taking advantage of optoelectronic hybrid joint </span><span>transform</span><span> correlator (OHJTC). However, when scale or angular distortion of the detected target exists relative to the reference template, the intensity of correlation peaks will decrease to a great extent, which restricted the recognition results greatly. In this paper, the development and principle of maximum average correlation height (MACH)</span><span> </span><span>algorithm is introduced. Through amounts of experiments, t</span><span>he control</span><span>ling</span><span> parameters</span><span> </span><span>of the synthesized filter</span><span> are optimized</span><span>, which makes MACH filter suppress background noise and widen recognition range of targets</span><span>. To show the feasibility of this algorithm, simulative and optical experiments of the improved MACH filter are carried out. As an example, the recognition results of a fighter target in sky</span><span> </span><span>are given, which shows </span><span>the </span><span>scale</span><span> </span><span>distortion tolerance can reach up </span><span>to </span><span>±</span><span>23%</span><span>. The actual effect of the improved MACH filter algorithm has been confirmed very well</span><span>.</span><span> <o:p></o:p></span></p> </div>

Sign in / Sign up

Export Citation Format

Share Document