Classification of sporting activities using smartphone accelerometers

In this paper we present a framework that allows for the automatic identification of sporting activities using commonly available smartphones. We extract discriminative informational features from smartphone accelerometers using the Discrete Wavelet Transform (DWT). Despite the poor quality of their accelerometers, smartphones were used as capture devices due to their prevalence in today’s society. Successful classification on this basis potentially makes the technology accessible to both elite and non-elite athletes. Extracted features are used to train different categories of classifiers. No one classifier family has a reportable direct advantage in activity classification problems to date; thus we examine classifiers from each of the most widely used classifier families. We investigate three classification approaches; a commonly used SVM-based approach, an optimized classification model and a fusion of classifiers. We also investigate the effect of changing several of the DWT input parameters, including mother wavelets, window lengths and DWT decomposition levels. During the course of this work we created a challenging sports activity analysis dataset, comprised of soccer and field-hockey activities. The average maximum F-measure accuracy of 87% was achieved using a fusion of classifiers, which was 6% better than a single classifier model and 23% better than a standard SVM approach

Adaptive particle swarm optimization

An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence speed. The APSO consists of two main steps. First, by evaluating the population distribution and particle fitness, a real-time evolutionary state estimation procedure is performed to identify one of the following four defined evolutionary states, including exploration, exploitation, convergence, and jumping out in each generation. It enables the automatic control of inertia weight, acceleration coefficients, and other algorithmic parameters at run time to improve the search efficiency and convergence speed. Then, an elitist learning strategy is performed when the evolutionary state is classified as convergence state. The strategy will act on the globally best particle to jump out of the likely local optima. The APSO has comprehensively been evaluated on 12 unimodal and multimodal benchmark functions. The effects of parameter adaptation and elitist learning will be studied. Results show that APSO substantially enhances the performance of the PSO paradigm in terms of convergence speed, global optimality, solution accuracy, and algorithm reliability. As APSO introduces two new parameters to the PSO paradigm only, it does not introduce an additional design or implementation complexity

Graduating to Globalisation : A Study of Southern Multinationals

FDI by firms in developing countries is a recent phenomenon and demands a study of relationship between firm productivity and different modes of globalisation activities. This paper attempts to understand this relationship through ordered probit models, examining two key hypotheses using firm level panel data from India. First, we test whether there are characteristic differences between domestic firms, exporting firms and firms engaging with FDI. Second, we test if FDI is an integral part of the evolution of firms in developing countries. Our results suggest that there are strong differences between domestic firms, exporting firms, and firms that invest abroad, especially in their knowledge investment, indicating the presence of a ladder of quality in graduating to globalisation.Outbound FDI, panel data, India, Ordered Probit models

Graduating to globalisation: A study of southern multinationals.

FDI by firms in developing countries is a recent phenomenon and demands a study of relationship between firm productivity and different modes of globalisation activities. This paper attempts to understand this relationship through ordered probit models, examining two key hypotheses using firm level panel data from India. First, we test whether there are characteristic differences between domestic firms, exporting firms and firms engaging with FDI. Second, we test if FDI is an integral part of the evolution of firms in developing countries. Our results suggest that there are strong differences between domestic firms, exporting firms, and firms that invest abroad, especially in their knowledge investment, indicating the presence of a ladder of quality in graduating to globalisation.

U.S. Greenfield Investments and M&A location: impact of American continental integration and Insider vs. Outsider position

This study examines the effects of economic integration on Greenfield Investments and cross-border Acquisitions locations. We use panel data on U.S. FDI in NAFTA and MERCOSUR members from 1989 to 1998. Economic integration is captured through tariff barriers and dummy variables. We pool data to distinguish between both agreements. We control for traditional macroeconomic determinants. It is found that economic integration certainly played a major role on U.S. firmsÕ location patterns. The U.S. position regarding the two agreements Ð insider vs. outsider- seemed to matter. Moreover, both our empirical study and our theoretical model underline the relevance of separating entry modes.FDI, integration, location, mode of entry

Hungary's integration into European Union markets - production and trade restructuring

Hungary has achieved impressive results in reorienting both its production and trade. Between 1989 and 1992, as the former CMEA marketscollapsed and Hungary liberalized imports and the exchange rate regime, exports to the European Union (EU) expanded, with manufactured exports redirected largely to Western (mostly EU) markets. During this first phase of expansion, characterized by a dramatic reorientation and explosion of trade, the value of Hungary's exports increased 84 percent. In 1993 export expansion lost steam and EU-oriented exports fell 12 percent. In a second phase of expansion (in 1994-97), driven by restructured and rapidly changing export offers, exports again registered strong performance, their value increasing 132 percent. There was a dramatic shift from an export basket dominated by resource-intensive, low-value-added products to one driven by manufacturers, with a rapidly accelerating growth of engineering products. Machinery and transport equipment rose from 12 percent of exports to the EU in 1989 to more that 50 percent in 1997. The shift from natural resource and unskilled-labor-intensive products to technology - and capital-intensive products in EU-oriented exports - suggests the potential for integration higher in the value-added spectrum. More stringent EU environmental regulations will affect a relatively low, and falling, share of Hungary's exports. The Hungarian share of environmentally"dirty"products imported by the EU has increased, but these products have not been trendsetters among Hungarian exports, their share in exports falling from 26 percent in 1989 to 16 percent in 1996. The rapid pace of Hungary's turnaround seems to reflect the emergence of second-generation firms, mostly foreign-owned. Foreign-owned firms tend to be more export-oriented. Hungary has been on of the more successful transition economies because its economy was receptive to foreign direct investment from the outset. Between 1990 and 1997, Hungary absorbed roughly half of all foreign capital invested in Central Europe.TradePolicy,Economic Theory&Research,Agribusiness&Markets,Environmental Economics&Policies,Markets and Market Access,Environmental Economics&Policies,Trade Policy,Economic Theory&Research,Agribusiness&Markets,TF054105-DONOR FUNDED OPERATION ADMINISTRATION FEE INCOME AND EXPENSE ACCOUNT

Fungal entomopathogens: new insights on their ecology

An important mechanism for insect pest control should be the use of fungal entomopathogens. Even though these organisms have been studied for more than 100 y, their effective use in the field remains elusive. Recently, however, it has been discovered that many of these entomopathogenic fungi play additional roles in nature. They are endophytes, antagonists of plant pathogens, associates with the rhizosphere, and possibly even plant growth promoting agents. These findings indicate that the ecological role of these fungi in the environment is not fully understood and limits our ability to employ them successfully for pest management. In this paper, we review the recently discovered roles played by many entomopathogenic fungi and propose new research strategies focused on alternate uses for these fungi. It seems likely that these agents can be used in multiple roles in protecting plants from pests and diseases and at the same time promoting plant growth

China, India and Russia: economic reforms, structural change and regional disparities

This paper studies the different patterns of growth of China, India and Russia by exploring and comparing the processes of reforms that have generated and accompanied their high and sustained rates of growth. Focusing on the sector transformations involved into the three economies, we show that the growth strategies implemented present specific characteristics in terms of gradualism and policy choices. We analyze the effects of economic growth on regional income disparities and to what extent the recent increase in prosperity has been homogeneously distributed within the three giants. Making use of Theil's T statistics and transition probability matrices, our findings reveal that income disparities within the Indian states and Chinese provinces have increased and, more in particular, landlocked and rural areas are in general still far from reducing the income gap from coastal and richest regions. In the case of Russia, the great divide is fuelled by the presence of hydrocarbons resources, which tend to be concentrated in the West Siberia