scholarly journals On solvability of some classes of transmission problems in a cylindrical space domain

2021 ◽  
Vol 18 (1) ◽  
pp. 176-206
Author(s):  
V. A. Belonogov ◽  
S. G. Pyatkov
Keyword(s):  
Space Domain ◽  
Transmission Problems

Open Localization in Micro LeadFrame Package Using Space Domain Reflectometry

2013 ◽  
Author(s):  
J. Gaudestad ◽  
V. Talanov ◽  
A. Orozco ◽  
M. Marchetti
Keyword(s):  
Magnetic Field ◽  
Radio Frequency ◽  
Standing Wave ◽  
High Resistance ◽  
Space Domain ◽  
The Past ◽  
Open Defects ◽  
Rf Electronics ◽  
Rf Signal ◽  
The Magnetic Field

Abstract In the past couple years, Space Domain Reflectometry (SDR) has become a mainstream method to locate open defects among the major semiconductor manufacturers. SDR injects a radio frequency (RF) signal into the open trace creating a standing wave with a node at the open location. The magnetic field generated by the standing wave is imaged with a SQUID sensor using RF electronics. In this paper, we show that SDR can be used to non-destructively locate high resistance failures in Micro LeadFrame Packages (MLP).

Fault Isolation of Open Defects Using Space Domain Reflectometry

2012 ◽  
Author(s):  
Mayue Xie ◽  
Zhiguo Qian ◽  
Mario Pacheco ◽  
Zhiyong Wang ◽  
Rajen Dias ◽  
...  
Keyword(s):  
Integrated Circuits ◽  
Fault Isolation ◽  
Nondestructive Technique ◽  
Space Domain ◽  
New Approach ◽  
Defect Localization ◽  
Open Faults ◽  
Open Defects ◽  
Application Optimization ◽  
Rf Magnetic Field

Abstract Recently, a new approach for isolation of open faults in integrated circuits (ICs) was developed. It is based on mapping the radio-frequency (RF) magnetic field produced by the defective part fed with RF probing current, giving the name to Space Domain Reflectometry (SDR). SDR is a non-contact and nondestructive technique to localize open defects in package substrates, interconnections and semiconductor devices. It provides 2D failure isolation capability with defect localization resolution down to 50 microns. It is also capable of scanning long traces in Si. This paper describes the principles of the SDR and its application for the localization of open and high resistance defects. It then discusses some analysis methods for application optimization, and gives examples of test samples as well as case studies from actual failures.

Simulation of Chinese online teaching invocational colleges based on complex evolution and improved neural network

2020 ◽  
pp. 1-13
Author(s):  
Yang Mei
Keyword(s):  
Neural Network ◽  
Online Teaching ◽  
Social Research ◽  
Teaching Process ◽  
Network Algorithms ◽  
Teaching System ◽  
Transmission Problems ◽  
Vocational Colleges ◽  
Function Module ◽  
Realization Process

Because the teaching methods of Chinese teaching in higher vocational colleges are improper and the problems in the teaching process cannot be found in time, the teaching effect is not good and there are many difficulties in the teaching process of teachers. According to actual needs, based on complex evolution and improved neural network algorithms, this paper builds a Chinese online teaching system in high vocational colleges. After communication with users and social research, the model function module is determined, and the system performance is improved through the mapping optimization model to eliminate data transmission problems in the system operation, and the realization process of the system function module is shown in the form of a diagram. In addition, this paper designs a control experiment to verify the performance of the model and uses the traditional algorithm model as a control to start the test teaching and uses statistical methods to compare the teaching effects. The research results show that the teaching system constructed in this paper has certain advantages over the traditional model.

Sign in / Sign up

Export Citation Format

Share Document