Enrichment of raw sensor data to enable high-level queries

Sensor networks are increasingly used across various application domains. Their usage has the advantage of automated, often continuous, monitoring of activities and events. Ubiquitous sensor networks detect location of people and objects and their movement. In our research, we employ a ubiquitous sensor network to track the movement of players in a tennis match. By doing so, our goal is to create a detailed analysis of how the match progressed, recording points scored, games and sets, and in doing so, greatly reduce the eort of coaches and players who are required to study matches afterwards. The sensor network is highly efficient as it eliminates the need for manual recording of the match. However, it generates raw data that is unusable by domain experts as it contains no frame of reference or context and cannot be analyzed or queried. In this work, we present the UbiQuSE system of data transformers which bridges the gap between raw sensor data and the high-level requirements of domain specialists such as the tennis coach

Developing Country Borrowing and Domestic Wealth

We show that across developing countries, external debt to private creditors rises more than proportionately with income. We then develop a simple theoretical model consistent with this phenomenon and also consistent with the well-documented relationship between capital market development and growth. Our framework stresses information asymmetries at the level of individual borrowers as the source of frictions in world capital markets. Because of moral hazard problems, marginal products of capital and borrowing-lending spreads are higher in poorer countries. In a two-country version of the model, we demonstrate the possibility of a siphoning effect which exacerbates the costs of transfers. Also because of the siphoning effect, increased wealth in the rich country can stunt investment in the poor country.

Sterilization costs and exchange rate targeting

This paper examines the movements of exchange rates and capital flows in an environment where an optimizing central bank pursuing the joint goals of inflation and output targeting engages in costly sterilization activities. Our results predict that when faced with increased sterilization costs, the central bank will choose to limit its sterilization activities allowing target variables, such as the nominal exchange rate, to adjust. ; We then test the predictions of a linearized version of the saddle-path solution to the model for a cross-country panel of developing countries. We use IV, GMM and simultaneous equation specifications to allow for the endogeneity of capital inflows. Our results confirm that a monetary policy does respond to sterilization costs.Foreign exchange ; Capital movements

A Multilevel Approach to Explain Child Mortality and Undernutrition in South Asia and Sub-Saharan Africa

While undernutrition among children is very pervasive both in Sub- Saharan Africa and South Asia, child mortality is rather low in South Asia. In contrast to that Sub-Saharan African countries suer by far the worst from high rates of child mortality. This dierent pattern of child mortality and undernutrition in both regions is well known, but approaches using aggregated macro data have not been able to explain it appropriately. In this paper we analyze the determinants of child mortality as well as child undernutrition based on DHS data sets for a sample of ve developing countries in South Asia and Sub-Saharan Africa. We investigate the eects of individual, household and cluster socioeconomic characteristics using a multilevel model approach and examine their respective inuences on both phenomena. We nd that the determinants of child mortality and undernutrition dier signi cantly from each other. Access to health infrastructure is more important for child mortality, whereas the individual characteristics like wealth and educational and nutritional characteristics of mothers play a larger role for anthropometric shortfalls. Although very similar patterns in the determinants of each phenomenon are discernable between countries, there are large dierences in the magnitude of the coecients. Besides regressions using a combined data set of all six countries show, that there are still signicant dierences between the two regions although taking account of a large set of covariates.Child mortality, child undernutrition, multilevel modelling

A Multilevel Approach to Explain Child Mortality and Undernutrition in South Asia and Sub-Saharan Africa

While undernutrition among children is very pervasive both in Sub- Saharan Africa and South Asia, child mortality is rather low in South Asia. In contrast to that Sub-Saharan African countries suffer by far the worst from high rates of child mortality. This different pattern of child mortality and undernutrition in both regions is well known, but approaches using aggregated macro data have not been able to explain it appropriately. In this paper we analyze the determinants of child mortality as well as child undernutrition based on DHS data sets for a sample of six developing countries in South Asia and Sub-Saharan Africa. We investigate the effects of individual, household and cluster socioeconomic characteristics using a multilevel model approach and examine their respective influences on both phenomena. We find that the determinants of child mortality and undernutrition differ significantly from each other. Access to health infrastructure is more important for child mortality, whereas the individual characteristics like wealth and educational and nutritional characteristics of mothers play a larger role for anthropometric shortfalls. Although very similar patterns in the determinants of each phenomenon are discernable, there are large differences in the magnitude of the coefficients. Besides regressions using a combined data set of all six countries show, that there are still significant differences between the two regions although taking account of a large set of covariates.Child mortality,child undernutrition,multilevel modelling

Extracting tennis statistics from wireless sensing environments

Creating statistics from sporting events is now widespread with most eorts to automate this process using various sensor devices. The problem with many of these statistical applications is that they require proprietary applications to process the sensed data and there is rarely an option to express a wide range of query types. Instead, applications tend to contain built-in queries with predened outputs. In the research presented in this paper, data from a wireless network is converted to a structured and highly interoperable format to facilitate user queries by expressing high level queries in a standard database language and automatically generating the results required by coaches

The role of relative performance in bank closure decisions

This paper studies a competitive banking industry subject to common and idiosyncratic shocks. The induced correlation across bank portfolio returns can be used by a regulator to improve inferences about bank portfolio choices. We compare two types of closure rules: (1) an 'absolute closure rule', which closes banks when their own individual asset/liability ratios fall below a given threshold, and (2) a 'relative closure rule', which closes banks when their asset/liability ratios fall below the industry average by a given amount. ; Two main results emerge from the model. First, a relative closure rule implies forbearance during 'bad times', defined as adverse realizations of the common shock. This forbearance occurs for incentive reasons, not because of irreversibilities or political economy considerations. Second, a relative closure rule is less costly to taxpayers, and the cost savings increase with the relative variance of the common shock. ; To evaluate the model, we estimate a panel-logit regression using a sample of U.S. commercial banks for the period 1992 through 1997. We find strong evidence that U.S. bank closures are based on relative performance. Individual and average asset/liability ratios are both significant predictors of bank closure, and their coefficient estimates are consistent with the theory. We conclude that relative performance is a valuable input to bank closure decisions, and that U.S. bank regulators seem to be aware of this.Bank failures

Heterogeneity, Intrafamily Distribution and Child Health

Health Economics and Policy,