High level performance model and performance comparison for multistatic radar system design

Author(s):  
V. Janse van Rensburg ◽  
W.A.J. Nel ◽  
J.E. Cilliers ◽  
U. Boniger ◽  
U. Siegenthaler ◽  
...  
Author(s):  
R. Grant Reed ◽  
Robert H. Sturges

Abstract We consider a design advisor to be performance-intelligent when its suggestions do not conflict with high level performance-related goals of the design under study. We address the problem of representing non-domain-specific design Information at a high level and describe coupling it to the inputs and outputs of design critics and their suggestion mechanisms. High level design Information represented in a function-based structure with linked allocations is shown to interact with a domain-specific design critic in three instances, viz.: allocation refinement, goal matching with a supported function, and performance-intelligent tradeoffs. Examples of manual and computer-based procedures are discussed.


1989 ◽  
Vol 33 (2) ◽  
pp. 52-56 ◽  
Author(s):  
Ray A. Reaux ◽  
Elizabeth D. Murphy ◽  
Lisa J. Stewart ◽  
Janet L. Gresh ◽  
Karin Bruce

To meet expected increases in domestic air traffic, the Federal Aviation Administration (FAA) will increase the level of automation in the domestic air traffic control (ATC) system. There is a need to assess the effects of the increased automation on controller workload and performance. Software-based engineering tools are needed to automate the analysis, allowing designers to identify potential problems early in the system design lifecycle. This paper describes one such tool, the Predictive Air Traffic Controller Analysis Model (PATCAM), a modeling and simulation analysis tool that uses a system operations concept and task attributes database, a controller activities model, a sector environment model and simulation engine, and a workload or performance model to predict the impact of system design changes on controller workload or performance.


2021 ◽  
Vol 48 (2) ◽  
Author(s):  
Al-Janahi N ◽  
◽  
Abd-El-Barr M ◽  
Qureshi K ◽  
◽  
...  

The research started by developing a model for measuring the customers’ acceptance of biometrics adoption in online banking in Kuwait. Self-administered questionnaires were distributed through SurveyMonkey.com platform. A total of 500 invitations were sent and 302 valid responses were received. The data was analysed using SPSS software tool, version 22. Analyses such as descriptive, correlation, regression, t-test and one-way ANOVA were conducted on the collected data to test their relationships and significance. The results revealed that self-efficacy, perceived behavioural control, reliability, appearance, support, content, safety and privacy are important parameters that need to be carefully addressed by the bank management while considering adoption of Biometrics in online banking in Kuwait. Bank management need also to ensure that the intended biometric system is easy to use, that it provides the expected usefulness, and that it ensures high level of convenience and that it earns (secures) customers’ trust and satisfaction.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 18574-18589 ◽  
Author(s):  
Ahmed Youssef ◽  
Peter F. Driessen ◽  
Fayez Gebali ◽  
Belaid Moa

Frequenz ◽  
2012 ◽  
Vol 66 (5-6) ◽  
Author(s):  
Ralph Mende

AbstractA highly integrated 24 GHz radar sensor is presented, based on a Radio Frequency Integrated Circuit (RFIC) which was specifically developed for a Frequency Modulated Shift Keying (FMSK) based Radar system design. Antenna, waveform, the Radio Frequency (RF) and Digital Signal Processor (DSP) module, the software design, cost and performance aspects will be described. The significant technical and economical advantages of the implemented Silicon-Germanium (SiGe) Bipolar CMOS (BiCMOS) transceiver are demonstrated. Some automotive and other applications based on this technology and new radar system design will be explained.


M n gement ◽  
2021 ◽  
pp. 31-43
Author(s):  
Pierre-Xavier Meschi ◽  
Antonin Ricard ◽  
Ernesto Tapia Moore

This article aims to determine whether pre-internationalization conditions improve the performance of first-time exporting small and medium-sized enterprises (SMEs). Two pre-internationalization conditions are discussed here: firm performance and age at internationalization. Building on the aspiration-level performance model of March and Shapira (1992) with sequential internationalization and international new-ventures approaches, this article develops two research hypotheses proposing an effective alignment with pre-internationalization performance and age at internationalization. These research hypotheses are examined using a panel database of 522 French SMEs that began export operations for the first time in 2014. The statistical results partially support our first hypothesis by showing that early-internationalizing SMEs with a lower performance relative to their peers significantly increase their post-internationalization performance. Contrary to what we predicted in our second hypothesis, we observe that late-internationalizing SMEs, which deliver a much higher performance than their historical aspirations, significantly reduce their post-internationalization performance.


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