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Since 2000, Indian special economic zones were established with the intention to attract foreign direct investment. We present a first empirical assessment with new data from 1980 to 2010 and evaluate the outcome after 10 years. In general, our empirical results confirm that special economic zones attract FDI statistical significantly. Another finding of the study is that open economies with stable inflation attract more FDI than small and closed economies.
India’s growth: perspectives for Indo-European business “Skilled labour in India: bridging the gap”
(2011)
The following paper is based on a survey conducted for ESB Business School and will show how German companies perceive India’s labour market. Besides existing geographical and sectoral gaps we will reveal gaps in the required qualification profile. Thinking merely of hard qualification factors like education levels, skills etc., though, would be short-sighted. Often cited intercultural qualifications also play an important role.
What can be done? What should be done to bridge these gaps? These will be the leading questions of this chapter. We will discuss some solutions – not forgetting that the problems German companies face are complex and knowing there is no ideal way. However, we will see that some of the most urgent problems can be solved or reduced by Indo-European or Indo-German co operation models in the field of vocational training and institutions of higher education.
When forecasting sales figures, not only the sales history but also the future price of a product will influence the sales quantity. At first sight, multivariate time series seem to be the appropriate model for this task. Nonetheless, in real life history is not always repeatable, i.e., in the case of sales history there is only one price for a product at a given time. This complicates the design of a multivariate time series. However, for some seasonal or perishable products the price is rather a function of the expiration date than of the sales history. This additional information can help to design a more accurate and causal time series model. The proposed solution uses an univariate time series model but takes the price of a product as a parameter that influences systematically the prediction based on a calculated periodicity. The price influence is computed based on historical sales data using correlation analysis and adjustable price ranges to identify products with comparable history. The periodicity is calculated based on a novel approach that is based on data folding and Pearson Correlation. Compared to other techniques this approach is easy to compute and allows to preset the price parameter for predictions and simulations. Tests with data from the Data Mining Cup 2012 as well as artificial data demonstrate better results than established sophisticated time series methods.
"Learning by doing" in Higher Education in technical disciplines is mostly realized by hands-on labs. It challenges the exploratory aptitude and curiosity of a person. But, exploratory learning is hindered by technical situations that are not easy to establish and to verify. Technical skills are, however, mandatory for employees in this area. On the other side, theoretical concepts are often compromised by commercial products. The challenge is to contrast and reconcile theory with practice. Another challenge is to implement a self-assessment and grading scheme that keeps up with the scalability of e-learning courses. In addition, it should allow the use of different commercial products in the labs and still grade the assignment results automatically in a uniform way. In two European Union funded projects we designed, implemented, and evaluated a unique e-learning reference model, which realizes a modularized teaching concept that provides easily reproducible virtual hands-on labs. The novelty of the approach is to use software products of industrial relevance to compare with theory and to contrast different implementations. In a sample case study, we demonstrate the automated assessment for the creative database modeling and design task. Pilot applications in several European countries demonstrated that the participants gained highly sustainable competences that improved their attractiveness for employment.
Schnittschutzhosen stellen ein wesentliches Element der persönlichen Schutzausrüstung des Forstwirts dar, da sie schwerwiegende Verletzungen bei der Motorsägenarbeit verhindern können. Dies setzt aber eine entsprechende Pflege voraus. Welche Veränderungen die Fasern der Schnittschutzeinlage durch Waschvorgänge erfahren und welche Auswirkungen sich dadurch auf die Schnittsicherheit ergeben, wurde im Rahmen eines Forschungsprojektes untersucht
Die Hochschule Reutlingen hat eine vergleichende Untersuchung an Spannfuttern für Schaftfräser vorgenommen. Fazit: Die Steifigkeit einer Aufnahme hat einen stärkeren Einfluss auf das Schwingverhalten als das Dämpfungsvermögen.
Das dynamische Verhalten von Werkzeugmaschinen besitzt entscheidenden Einfluss auf die Bearbeitungsergebnisse. Zusammen mit dem Eigenverhalten der Maschine und dem Werkstück ergibt dies die für die Bearbeitungsgenauigkeit entscheidende statische Steifigkeit und die dynamische Nachgiebigkeit. Im Folgenden wird das Zusammenspiel dieser Komponenten im System näher dargestellt.
Knowledge transfer is very important to our knowledge-based society and many approaches have been proposed to describe this transfer. However, these approaches take a rather abstract view on knowledge transfer, which makes implementation difficult. In order to address this issue, we introduce a layered model for knowledge transfer that structures the individual steps of knowledge transfer in more detail. This paper gives a description of the process and also an example of the application of the layered model for knowledge transfer. The example is located in the area of business process modelling. Business processes contain the important knowledge describing the procedures of the company to produce products and services. Knowledge transfer is the fundamental basis in the modelling and usage of Business processes, which makes it an interesting use case for the layered model for knowledge transfer.
In visual adaptive tracking, the tracker adapts to the target, background, and conditions of the image sequence. Each update introduces some error, so the tracker might drift away from the target over time. To increase the robustness against the drifting problem, we present three ideas on top of a particle filter framework: An optical-flow-based motion estimation, a learning strategy for preventing bad updates while staying adaptive, and a sliding window detector for failure detection and finding the best training examples. We experimentally evaluate the ideas using the BoBoT dataseta. The code of our tracker is available online.
It is well established that the mechanical environment influences cell functions in health and disease. Here, we address how the mechanical environment influences tumor growth, in particular, the shape of solid tumors. In an in vitro tumor model, which isolates mechanical interactions between cancer tumor cells and a hydrogel, we find that tumors grow as ellipsoids, resembling the same, oft-reported observation of in vivo tumors. Specifically, an oblate ellipsoidal tumor shape robustly occurs when the tumors grow in hydrogels that are stiffer than the tumors, but when they grow in more compliant hydrogels they remain closer to spherical in shape. Using large scale, nonlinear elasticity computations we Show that the oblate ellipsoidal shape minimizes the elastic free energy of the tumor-hydrogel system. Having eliminated a number of other candidate explanations, we hypothesize that minimization of the elastic free energy is the reason for predominance of the experimentally observed ellipsoidal shape. This result may hold significance for explaining the shape progressio.
This article focuses on potential economic implications of a free trade agreement (FTA) between the European Union (EU) and the Indian Federation. The economic implications are evaluated by estimating an Extended gravity model for all existing FTAs with the Indian Federation. Moreover, we control for the trade contribution of EU member countries in our econometric model during the period from 1990 until 2008. The results show a significant increase in trade, if there is a free trade agreement between India and another country. Interestingly, we find that India has the largest positive impact from FTAs with more advanced economies. Thus, we reaffirm the potential benefits of trade relationships between the EU and India.