Multi-tone EMC testing strategy for RF-devices

In low-cost miniaturized electronic systems, filters are often omitted in front of active non-linear components, potentially resulting in unwanted intermodulation products in the band of operation. Current immunity tests most often use a single-frequency source and are hence not able to capture all relevant intermodulation products. Relying on an anechoic chamber as test facility and using multiple-tone excitation from a dual-source network analyzer, we present an advanced test methodology to evaluate in-the-band leakage of out-of-band undesired frequencies. To demonstrate our approach we use a frequency-selective active textile antenna with integrated non-linear low-noise amplifier

A Strategy Language for Testing Register Transfer Level Logic

The development of modern ICs requires a huge investment in RTL verification. This is a reflection of brisk release schedules and the complexity of contemporary chip designs. A major bottleneck to reaching verification closure in such designs is the disproportionate effort expended in crafting directed tests; which is necessary to reach those behaviors that other, more automated testing methods fail to cover. This paper defines a novel language that can be used to generate targeted stimuli for RTL logic and which mitigates the complexities of writing directed tests. The main idea is to treat directed testing as a meta-reasoning problem about simulation. Our language is both formalized and prototyped as a proof-search strategy language in rewriting logic. We illustrate its novel features and practical use with several examples.published or submitted for publicatio

Inference about Clustering and Parametric Assumptions in Covariance Matrix Estimation

Selecting an estimator for the variance covariance matrix is an important step in hypothesis testing. From less robust to more robust, the available choices include: Eicker/White heteroskedasticity-robust standard errors, Newey and West heteroskedasticity-and-autocorrelation- robust standard errors, and cluster-robust standard errors. The rationale for using a less robust covariance matrix estimator is that tests conducted using a less robust covariance matrix estimator can have better power properties. This motivates tests that examine the appropriate level of robustness in covariance matrix estimation. We propose a new robustness testing strategy, and show that it can dramatically improve inference about the proper level of robustness in covariance matrix estimation. Our main focus is on inference about clustering although the proposed robustness testing strategy can also improve inference about parametric assumptions in covariance matrix estimation, which we demonstrate for the case of testing for heteroskedasticity. We also show why the existing clustering test and other applications of the White (1980) robustness testing approach perform poorly, which to our knowledge has not been well understood. The insight into why this existing testing approach performs poorly is also the basis for the proposed robustness testing strategy.

Social inequality and HIV-testing

The plan to increase HIV testing is a cornerstone of the international health strategy against the HIV/AIDS epidemic, particularly in sub-Saharan Africa. This paper highlights a problematic aspect of that plan: the reliance on clinic- rather than home-based testing. First, drawing on DHS data from across Africa, we demonstrate the substantial differences in socio-demographic and economic profiles between those who report having ever had an HIV test, and those who report never having had one. Then, using data from a random household survey in rural Malawi, we show that substituting home-based for clinic-based testing may eliminate this source of inequality between those tested and those not tested. This result, which is stable across modeling frameworks, has important implications for accurately and equitably addressing the counseling and treatment programs that comprise the international health strategy against AIDS, and that promise to shape the future trajectory of the epidemic in Africa and beyond.AIDS/HIV, home-based testing, inequality, Malawi

UI-Design driven model-based testing

Testing interactive systems is notoriously difficult. Not only do we need to ensure that the functionality of the developed system is correct with respect to the requirements and specifications, we also need to ensure that the user interface to the system is correct (enables a user to access the functionality correctly) and is usable. These different requirements of interactive system testing are not easily combined within a single testing strategy. We investigate the use of models of interactive systems, which have been derived from design artefacts, as the basis for generating tests for an implemented system. We give a model-based method for testing interactive systems which has low overhead in terms of the models required and which enables testing of UI and system functionality from the perspective of user interaction

Will Parent Training Reduce Abuse, Enhance Development, and Save Money? Let's Find Out

Outlines a strategy for testing the feasibility of community-developed parent training initiatives to prevent child abuse and neglect. Calls for a federal grant program to test community-wide implementation of parent training programs in stages