scholarly journals A Review of Degradation Behavior and Modeling of Capacitors

2018 ◽  
Author(s):  
Anunay Gupta ◽  
Om Prakash Yadav ◽  
Douglas DeVoto ◽  
Joshua Major
Keyword(s):  
Data Driven ◽  
Future Research ◽  
Electronic Systems ◽  
Power Electronic ◽  
Lifetime Estimation ◽  
Research Directions ◽  
Physics Of Failure ◽  
Degradation Modeling ◽  
Degradation Models ◽  
Future Research Directions

This paper firstly reviews the failure causes, modes and mechanisms of two major types of capacitors used in power electronic systems — metallized film capacitors and electrolytic capacitors. The degradation modeling related to these capacitors is then presented. Both physics-of-failure and data-driven degradation models for reliability and lifetime estimation are discussed. Based on the exhaustive literature review on degradation modeling of capacitors, we provide a critical assessment and future research directions.

scholarly journals Progress in ZnO Nanosensors

Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5502
Author(s):  
Miaoling Que ◽  
Chong Lin ◽  
Jiawei Sun ◽  
Lixiang Chen ◽  
Xiaohong Sun ◽  
...  
Keyword(s):  
High Performance ◽  
Room Temperature ◽  
Wide Bandgap ◽  
Synthetic Methods ◽  
Superior Performance ◽  
Future Research ◽  
Electronic Systems ◽  
Research Directions ◽  
Photoelectric Sensor ◽  
Future Research Directions

Developing various nanosensors with superior performance for accurate and sensitive detection of some physical signals is essential for advances in electronic systems. Zinc oxide (ZnO) is a unique semiconductor material with wide bandgap (3.37 eV) and high exciton binding energy (60 meV) at room temperature. ZnO nanostructures have been investigated extensively for possible use as high-performance sensors, due to their excellent optical, piezoelectric and electrochemical properties, as well as the large surface area. In this review, we primarily introduce the morphology and major synthetic methods of ZnO nanomaterials, with a brief discussion of the advantages and weaknesses of each method. Then, we mainly focus on the recent progress in ZnO nanosensors according to the functional classification, including pressure sensor, gas sensor, photoelectric sensor, biosensor and temperature sensor. We provide a comprehensive analysis of the research status and constraints for the development of ZnO nanosensor in each category. Finally, the challenges and future research directions of nanosensors based on ZnO are prospected and summarized. It is of profound significance to research ZnO nanosensors in depth, which will promote the development of artificial intelligence, medical and health, as well as industrial, production.

Trust in Cognitive Assistants

2019 ◽  
Vol 6 (1) ◽  
pp. 60-71
Author(s):  
Md. Abul Kalam Siddike ◽  
Yoji Kohda
Keyword(s):  
Policy Making ◽  
Data Driven ◽  
Future Research ◽  
Intention To Use ◽  
Research Directions ◽  
Decision Tools ◽  
Future Research Directions ◽  
Data Driven Decisions ◽  
Organizational Science ◽  
And Robotics

The main purpose of this research is to develop a framework of trust determinants in the interactions between people and cognitive assistants (CAs). CAs are defined as new decision tools that can provide people with high quality recommendations and help them make data-driven decisions to understand the environment around them. Trust is defined as the belief of people that CAs will help them reach a desired decision. An extensive review on trust in psychology, sociology, economics and policy making, organizational science, automation, and robotics was conducted to determine the factors that influence people's trust in CAs. On the basis of this review, a framework of trust determinants in people's interactions with CAs was developed where reliability, attractiveness, and emotional attachments positively influence people's trust in CAs. The framework also shows that relative advantages of innovativeness positively affect the intention to use CAs. Future research directions are suggested for developing and validating more concrete scales in measuring trust determinants in the interactions between people and CAs.

Sign in / Sign up

Export Citation Format

Share Document