Use of high temperature operating life data to mitigate risks in long-duration space applications that deploy commercial-grade plastic encapsulated semiconductor devices
Abstract Commercial-grade plastic encapsulated semiconductor devices are now widely used in space and military equipment for their cost-per-performance and availability advantages over military type ceramic parts. However, many equipment manufacturers still perceive risks in their deployment, and conduct expensive and time-consuming screening and qualification programs to mitigate the potential risks associated with their use. This paper discusses the limitations of the screening and qualification approach currently employed by space equipment manufacturers to assess the long-term reliability of commercially-available plastic encapsulated semiconductor devices (PEDs) in deep space missions. In addition, the paper presents the value of the high temperature operating life (HTOL) data published by manufacturers of PEDs for mitigating the risks associated with the use of such devices in long-duration space applications, where steady-state temperature is the significant stress parameter.
Using plastic-encapsulated microcircuits in high reliability applications
This paper describes technical and management aspects of using plastic-encapsulated microcircuits (PEM's) in applications in which military, hermetic microcircuits have traditionally been required. In order to implement the use of PEM's in such applications, it is necessary to re-evaluate the entire system of qualifying, procuring, using, and ensuring reliability of parts, and of the products in which they are used. Technically, the disciplines of reliability, accelerated testing, design of experiments, and physics of failure must be used as a comprehensive set of tools to implement and manage the use of PEM's. Finally, an effective and efficient system for collecting and analyzing data must be set up to provide information for rational decision-making.<<ETX>>
Automatic classification of TV news articles based on telop character recognition
The purpose of this study is to develop a multimedia database system for TV news video data. TV news video data consist of speech, characters and images. In this study, telop characters are recognized and given to the news articles as indices for classification. At first, telop frames which include telop characters are detected and then the telop characters are extracted and recognized. Through morphological analysis of the recognized telop characters, keywords are extracted which consist of more than two characters. Their keywords are used as indices to classify the TV news articles. We carried out experiments for 30 days of NHK 5 minutes news and obtained 95.4% telop character extraction rate, 81.4% character recognition rate and 83.8% article classification rate. We improved the article classification rate by 43.4% through character recognition improvement from 44.1% to 81.4%.