Further Localization of the Minor Junction Leakage Fault by Nanoprobing

2016 ◽  
Author(s):  
H.S. Wang ◽  
C.C. Lin ◽  
T.Y. Sung ◽  
K.C. Chang ◽  
S.C. Yang ◽  
...  
Keyword(s):  
Success Rate ◽  
Case Studies ◽  
Leakage Current ◽  
Fault Location ◽  
Real Case ◽  
Large Area ◽  
The Real

Abstract Localizing a tiny fault causing abnormal leakage current in a large area P/N junction for a large MOS, diode or BJT structure by nano-probing was demonstrated. The localization was realized through probing the contacts on the junctions and comparing the reversed bias junction current for each contact which maintain the same polarity on the P/N junction. The tiny fault location which is causing the leakage in the large area P/N junction is indicated by the contact with the largest current due to the lowest sheet row resistance path to the fault as measured by nano-probing. Therefore, the success rate to identify the real physical fault by TEM and the ability to take the precise process action to correct the problem is greatly increased by this method. An artificial fault experiment induced by use of FIB as well as real case studies also verifies this method is valid and useful.

scholarly journals Deanonymization of bitcoin cryptocurrency users

2019 ◽  
Vol 68 (1) ◽  
pp. 51-77
Author(s):  
Przemysław Rodwald ◽  
Witold Sobolewski ◽  
Maja Rodwald
Keyword(s):  
Case Studies ◽  
Main Part ◽  
Final Part ◽  
Real Case ◽  
Legal Regulations ◽  
The Real ◽  
Basic Concepts

The aim of this article is to show how one can deanonymize users of cryptocurrencies. To this end the most popular of the cryptocurrencies, i.e. bitcoin is used as an example. At the beginning, the basic concepts about cryptocurrencies are presented. Afterwards, our approach to systematize the types of transactions existing in the blockchain is proposed. This part is enriched with the graphs showing their quantitative occurrence in the blockchain. The main part of this article presents the heuristics use to deanonymize users. A few practical pieces of advice for implementation of the presented heuristics in the real deanonymizing system are included. Then the real case studies are introduced. They are supported with comments based on the experience from court trials carried out by the authors. The final part contains legal regulations and existing tools supporting the deanonymizing process. Keywords: deanonymization, cryptocurrency, bitcoin.

Automated Schematic Transformation to Enhance Circuit Failure Design Debug

2017 ◽  
Author(s):  
Varun Gupta ◽  
Wee Yee Wendy Lau ◽  
S.H. Goh ◽  
H.W. Ho ◽  
B.L. Yeoh ◽  
...  
Keyword(s):  
Success Rate ◽  
Case Studies ◽  
Turnaround Time ◽  
Circuit Analysis ◽  
Fault Isolation ◽  
Real Case ◽  
Failure Event

Abstract In a failure event, circuit schematic analysis usually follows after fault isolation to increase the success rate. However, analyzing an extracted netlist of the isolated sub-circuit can be messy. Manual circuit translation from layout where the analyst is in control of the cell instance placement is one way to overcome this challenge. Although it is neater and intuitive for analysis, it can be time consuming to create the schematic. To analyze circuits in a systematic manner, cross-mapping between layout and schematic contents is the most commonly recognized approach. However, at times, cross-mapping alone is insufficient and some further simplification procedures are favorable. This paper describes the challenges and illustrates using real case studies, how schematics re-ordering and substitutions can be useful to simplify and enhance circuit analysis. These procedures can be implemented in an automated manner to enhance turnaround time for analysis.

scholarly journals Real Fault Location in a Distribution Network Using Smart Feeder Meter Data

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3242
Author(s):  
Hamid Mirshekali ◽  
Rahman Dashti ◽  
Karsten Handrup ◽  
Hamid Reza Shaker
Keyword(s):  
Fault Location ◽  
Network Reliability ◽  
Distribution Network ◽  
Estimation Method ◽  
Electrical Energy ◽  
Distribution Networks ◽  
Active Power ◽  
Financial Loss ◽  
Smart Meters ◽  
The Real

Distribution networks transmit electrical energy from an upstream network to customers. Undesirable circumstances such as faults in the distribution networks can cause hazardous conditions, equipment failure, and power outages. Therefore, to avoid financial loss, to maintain customer satisfaction, and network reliability, it is vital to restore the network as fast as possible. In this paper, a new fault location (FL) algorithm that uses the recorded data of smart meters (SMs) and smart feeder meters (SFMs) to locate the actual point of fault, is introduced. The method does not require high-resolution measurements, which is among the main advantages of the method. An impedance-based technique is utilized to detect all possible FL candidates in the distribution network. After the fault occurrence, the protection relay sends a signal to all SFMs, to collect the recorded active power of all connected lines after the fault. The higher value of active power represents the real faulty section due to the high-fault current. The effectiveness of the proposed method was investigated on an IEEE 11-node test feeder in MATLAB SIMULINK 2020b, under several situations, such as different fault resistances, distances, inception angles, and types. In some cases, the algorithm found two or three candidates for FL. In these cases, the section estimation helped to identify the real fault among all candidates. Section estimation method performs well for all simulated cases. The results showed that the proposed method was accurate and was able to precisely detect the real faulty section. To experimentally evaluate the proposed method’s powerfulness, a laboratory test and its simulation were carried out. The algorithm was precisely able to distinguish the real faulty section among all candidates in the experiment. The results revealed the robustness and effectiveness of the proposed method.

Applying the Systems Evaluation Protocol in the real world: Six case studies

2021 ◽  
Vol 2021 (169) ◽  
pp. 65-77
Author(s):  
Jennifer Brown Urban ◽  
Miriam R. Linver ◽  
Lisa M. Chauveron ◽  
Thomas Archibald ◽  
Monica Hargraves ◽  
...  
Keyword(s):  
Case Studies ◽  
Real World ◽  
The Real ◽  
Evaluation Protocol

scholarly journals How to train your robot with deep reinforcement learning: lessons we have learned

2021 ◽  
pp. 027836492098785
Author(s):  
Julian Ibarz ◽  
Jie Tan ◽  
Chelsea Finn ◽  
Mrinal Kalakrishnan ◽  
Peter Pastor ◽  
...  
Keyword(s):  
Machine Learning ◽  
Reinforcement Learning ◽  
Case Studies ◽  
Real World ◽  
Review Article ◽  
The Real ◽  
Complex Skills ◽  
Real World Learning ◽  
Level Sensor ◽  
Embodied Agent

Deep reinforcement learning (RL) has emerged as a promising approach for autonomously acquiring complex behaviors from low-level sensor observations. Although a large portion of deep RL research has focused on applications in video games and simulated control, which does not connect with the constraints of learning in real environments, deep RL has also demonstrated promise in enabling physical robots to learn complex skills in the real world. At the same time, real-world robotics provides an appealing domain for evaluating such algorithms, as it connects directly to how humans learn: as an embodied agent in the real world. Learning to perceive and move in the real world presents numerous challenges, some of which are easier to address than others, and some of which are often not considered in RL research that focuses only on simulated domains. In this review article, we present a number of case studies involving robotic deep RL. Building off of these case studies, we discuss commonly perceived challenges in deep RL and how they have been addressed in these works. We also provide an overview of other outstanding challenges, many of which are unique to the real-world robotics setting and are not often the focus of mainstream RL research. Our goal is to provide a resource both for roboticists and machine learning researchers who are interested in furthering the progress of deep RL in the real world.

Photo-induced Large Area Growth Of Dielectrics With Excimer Lamps

2000 ◽  
Vol 617 ◽  
Author(s):  
Ian W. Boyd ◽  
Jun-Ying Zhang
Keyword(s):  
Thin Films ◽  
Dielectric Constant ◽  
Low Temperature ◽  
Leakage Current ◽  
Sol Gel ◽  
Low Dielectric Constant ◽  
Large Area ◽  
Excimer Lamp ◽  
Low Dielectric ◽  
Current Densities

AbstractIn this paper, UV-induced large area growth of high dielectric constant (Ta2O5, TiO2and PZT) and low dielectric constant (polyimide and porous silica) thin films by photo-CVD and sol-gel processing using excimer lamps, as well as the effect of low temperature LW annealing, are discussed. Ellipsometry, Fourier transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), UV spectrophotometry, atomic force microscope (AFM), capacitance-voltage (C-V) and current-voltage (I-V) measurements have been employed to characterize oxide films grown and indicate them to be high quality layers. Leakage current densities as low as 9.0×10−8 Acm−2 and 1.95×10−7 Acm−2 at 0.5 MV/cm have been obtained for the as-grown Ta2O5 films formed by photo-induced sol-gel processing and photo-CVD. respectively - several orders of magnitude lower than for any other as-grown films prepared by any other technique. A subsequent low temperature (400°C) UV annealing step improves these to 2.0×10−9 Acm−2 and 6.4× 10−9 Acm−2, respectively. These values are essentially identical to those only previously formed for films annealed at temperatures between 600 and 1000°C. PZT thin films have also been deposited at low temperatures by photo-assisted decomposition of a PZT metal-organic sol-gel polymer using the 172 nm excimer lamp. Very low leakage current densities (10−7 A/cm2) can be achieved, which compared with layers grown by conventional thermal processing. Photo-induced deposition of low dielectric constant organic polymers for interlayer dielectrics has highlighted a significant role of photo effects on the curing of polyamic acid films. I-V measurements showed the leakage current density of the irradiated polymer films was over an order of magnitude smaller than has been obtained in the films prepared by thermal processing. Compared with conventional furnace processing, the photo-induced curing of the polyimide provided both reduced processing time and temperature, A new technique of low temperature photo-induced sol-gel process for the growth of low dielectric constant porous silicon dioxide thin films from TEOS sol-gel solutions with a 172 nm excimer lamp has also been successfully demonstrated. The dielectric constant values as low as 1.7 can be achieved at room temperature. The applications investigated so far clearly demonstrate that low cost high power excimer lamp systems can provide an interesting alternative to conventional UV lamps and excimer lasers for industrial large-scale low temperature materials processing.

A Design for Fault-Tolerant Communication Middleware Based on Time-Triggered

2014 ◽  
Vol 548-549 ◽  
pp. 1326-1329
Author(s):  
Juan Jin ◽  
Qing Fan Gu
Keyword(s):  
Fault Tolerance ◽  
Real Time ◽  
Fault Location ◽  
Fault Tolerant ◽  
Application Software ◽  
Tolerance Mechanisms ◽  
The Real ◽  
Communication Middleware ◽  
Fault Mechanism ◽  
Health Diagnosis

Against to the unsustainable problems of health diagnosis, fault location and fault tolerance mechanisms that existing in the current avionics applications, we proposed a fault-tolerant communication middleware which is based on time-triggered in this paper. This middleware is designed to provide a support platform for applications of the real-time based on communication middleware. From the communication middleware level and also combined with time-triggered mechanism and fault-tolerant strategy, it diagnoses the general faults first, and then routes them to the appropriate fault mechanism to process it. So the middleware completely separates fault-tolerant process from the application software functions.

A successful example of citizen science within the PRISMA network applied to the 15th March 2021 bolide over Italy

2021 ◽  
Author(s):  
Daniele Gardiol ◽  
Tiberio Cuppone ◽  
Giovanni Ascione ◽  
Dario Barghini ◽  
Albino Carbognani ◽  
...  
Keyword(s):  
Citizen Science ◽  
Video Recording ◽  
Real Case ◽  
The Real ◽  
The City

<p>PRISMA is the italian fireball network dedicated to observation of bright meteors and recovery of freshly fallen meteorites. Since the very beginning of the project, we experienced an increasing enthusiastic participation of non-professionals, starting from amateur astronomers and reaching an ever wider audience among citizens. Nowadays PRISMA has become an established italian stakeholder in the field of meteors and meteorites, being the reference for visual warnings, video recording of fireballs and report of suspect meteorite finds.</p> <p>In this contribution we will describe our experience on this topic and the methodologies we have developed to capitalize such potential, by actively training and involving citizens in activities focused on meteorite/meteorwrong identification and organized on-field search campaigns. We will show an application to the real case of the 15<sup>th</sup> march 2021 meteorite-dropping bolide in sourthern Italy, near the city of Isernia.</p>

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