860 resultados para Complexity economics


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The main purpose of the study is to examine the economic aspects of the korai mat weaving industry.

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The importance of industrialisation in achiering rapid economic growth has been recognised in India's development strategy ever since the inception of economic planning in the country. Being the secondary sector in the generation of national income. industry contributes significantly to the process of economic development. Extensive debates have taken place on the nature of the industrialisation strategy to be pursued in the economy since Independence. This is reflected in the industrial policy which evolved through the various five year plans and policy resolutions. Stupendous efforts have been made by the government since the commencement of planning and particularly since the 1960s to industrialise the Indian economy and develop the infrastructural base for sustained industrial development. It is difficult to assess the performance of the industrial sector over the past three decades with respect to the broad objectives of industrialisation. However. there are certain areas in which the achievements have been clearly significant.

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Analysis by reduction is a method used in linguistics for checking the correctness of sentences of natural languages. This method is modelled by restarting automata. All types of restarting automata considered in the literature up to now accept at least the deterministic context-free languages. Here we introduce and study a new type of restarting automaton, the so-called t-RL-automaton, which is an RL-automaton that is rather restricted in that it has a window of size one only, and that it works under a minimal acceptance condition. On the other hand, it is allowed to perform up to t rewrite (that is, delete) steps per cycle. Here we study the gap-complexity of these automata. The membership problem for a language that is accepted by a t-RL-automaton with a bounded number of gaps can be solved in polynomial time. On the other hand, t-RL-automata with an unbounded number of gaps accept NP-complete languages.

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Diese Arbeit befasst sich mit der Innovations- und Globalisierungspolitik in kleinen Transformationsländern am Beispiel Mazedoniens; diese wurde mit der Lage in Slowenien verglichen, einem Land von ungefähr gleicher Größe und mit gemeinsamer Vergangenheit als Teilrepublik der Jugoslawischen Föderation, aber mit einem wesentlich höheren ökonomischen Entwicklungsstand. Innovation wird dabei verstanden als „Herstellung, Anpassung und Ausnutzung von Neuerungen“, und sie wird durch das Umfeld, in dem sie stattfindet, beeinflusst. Anpassung und Ausnutzung sind gerade für kleine Transformationsländer von erheblicher Bedeutung, da ihre Fähigkeit zu Herstellung von Neuerungen sehr begrenzt sind. Die Rolle der Innovationspolitik besteht hierbei darin, institutionelle und organisationelle Regulierungen einzuführen, die ein günstiges Umfeld sowohl für Innovationen als auch für die Entwicklung eines nationalen Innovationssystems schaffen. Die Rolle der Politik besteht also nicht in der Innovation als solcher, sondern in der Herstellung der notwendigen Bedingungen für die Industrie und die Forschungseinrichtungen dahingehend zu schaffen, dass sie ihr Wissen, ihre Fertigkeiten und ihre praktischen Erfahrungen für innovative Tätigkeiten einsetzen können. Auf der einen Seite gibt es Institutionen und Organisationen, ohne die die Unternehmen rückständig und wenig leistungsstark wären (etwa das Patentamt oder Institutionen höherer Bildung), und auf der anderen Seite gibt es Institutionen und Organisationen, welche die Unternehmen dabei unterstützen, dass sie ihre Tätigkeit weiter unterstützen (z.B. durch Technologietransfer-Zentren und Netzwerke). Die Leistungen dieser Institutionen und Organisationen sind von großer Bedeutung für die nationalen Innovationssysteme und sollten ihrerseits durch Innovationspolitik unterstützt werden; dies bedeutet jedoch nicht, dass diese Leistungen vom Staat bereitgestellt werden, vielmehr sollte die Wirtschaftspolitik Möglichkeiten für die öffentlich/private oder sogar rein private Bereitstellung solcher Leistungen in Erwägung ziehen; dies würde nicht nur die Kosten für den Staat senken, sondern auch die Effizienz bei der Erstellung dieser Leistungen steigern. Die Arbeit kommt zu dem Schluss, dass das größte Problem der Innovationspolitik in Mazedonien darin besteht, dass es sie gar nicht gibt, und zwar nicht als Folge einer bewussten Entscheidung darüber. Tatsächlich müssen Ressourcen und Zeit für die Schaffung eines nationalen Innovationssystems eingesetzt werden mit Hilfe einer Politik, die sich auf die wesentlichen Umrisse konzentriert, wobei die Nachfrage nach Technologie im Unternehmensbereich gesteigert wird und das Wissen und das Informationsangebot restrukturiert wird. Dieses System muss offen sein, unter beständigem Verbesserungsdruck stehen und fähig sein, sich an Veränderungen anzupassen. Damit eine solche Politik erfolgreich ist, muss es einen Konsens darüber zwischen allen beteiligten Akteuren geben und darüber hinaus auch eine Kohärenz zwischen den verschiedenen politischen Institutionen. Das ist deswegen wichtig, weil der Innovationsprozess komplex ist und verschiedene Politikbereiche berührt. Ziel sollte die Schaffung eines Systems sein, das einerseits auf Autonomie und Kooperation aufbaut, andererseits aber auch Wettbewerb zwischen den beteiligten Institutionen und Organisationen fördert. Eine wichtige Bedingung für ein positives Investitionsklima im Bereich der Innovation ist die Erreichung von makroökonomischer Stabilität. Die gegenwärtige Situation ist gekennzeichnet durch Instabilität des Rechtswesens, durch Korruption und Probleme des Vertragsschutzes, die sowohl ausländische als auch inländische Akteure davon abhält, sich in wirtschaftlichen Aktivitäten in Mazedonien zu engagieren. Bei der Suche nach einem Ausweg aus diesen Problemen ist es wichtig für Mazedonien, von anderen Ländern wie Slowenien zu lernen, die ähnliche Probleme haben, aber auch schon Erfahrungen in der Problemlösung. Man muss dabei beachten, dass der Entwicklungsstand, das wirtschaftliche und das politische Umfeld in beiden Vergleichsländern sich erheblich unterscheiden, so dass die Lektionen, die Mazedonien von Slowenien lernen könnte, nicht direkt übertragen und kopiert werden können, sondern entsprechend angepasst werden müssen. Die vorliegende Arbeit liefert Einsichten in die Probleme der Innovationspolitik in Transformationsländern und liefert daher sowohl einen Anreiz als auch eine Quelle von Informationen für künftige Analysen der wirtschaftlichen Bedingungen und vor allem Innovationspolitik in Transformationsländern.

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Analysis by reduction is a method used in linguistics for checking the correctness of sentences of natural languages. This method is modelled by restarting automata. Here we study a new type of restarting automaton, the so-called t-sRL-automaton, which is an RL-automaton that is rather restricted in that it has a window of size 1 only, and that it works under a minimal acceptance condition. On the other hand, it is allowed to perform up to t rewrite (that is, delete) steps per cycle. We focus on the descriptional complexity of these automata, establishing two complexity measures that are both based on the description of t-sRL-automata in terms of so-called meta-instructions. We present some hierarchy results as well as a non-recursive trade-off between deterministic 2-sRL-automata and finite-state acceptors.

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The global power supply stability is faced to several severe and fundamental threats, in particular steadily increasing power demand, diminishing and degrading fossil and nuclear energy resources, very harmful greenhouse gas emissions, significant energy injustice and a structurally misbalanced ecological footprint. Photovoltaic (PV) power systems are analysed in various aspects focusing on economic and technical considerations of supplemental and substitutional power supply to the constraint conventional power system. To infer the most relevant system approach for PV power plants several solar resources available for PV systems are compared. By combining the different solar resources and respective economics, two major PV systems are identified to be very competitive in almost all regions in the world. The experience curve concept is used as a key technique for the development of scenario assumptions on economic projections for the decade of the 2010s. Main drivers for cost reductions in PV systems are learning and production growth rate, thus several relevant aspects are discussed such as research and development investments, technical PV market potential, different PV technologies and the energetic sustainability of PV. Three major market segments for PV systems are identified: off-grid PV solutions, decentralised small scale on-grid PV systems (several kWp) and large scale PV power plants (tens of MWp). Mainly by application of ‘grid-parity’ and ‘fuel-parity’ concepts per country, local market and conventional power plant basis, the global economic market potential for all major PV system segments is derived. PV power plant hybridization potential of all relevant power technologies and the global power plant structure are analyzed regarding technical, economical and geographical feasibility. Key success criteria for hybrid PV power plants are discussed and comprehensively analysed for all adequate power plant technologies, i.e. oil, gas and coal fired power plants, wind power, solar thermal power (STEG) and hydro power plants. For the 2010s, detailed global demand curves are derived for hybrid PV-Fossil power plants on a per power plant, per country and per fuel type basis. The fundamental technical and economic potentials for hybrid PV-STEG, hybrid PV-Wind and hybrid PV-Hydro power plants are considered. The global resource availability for PV and wind power plants is excellent, thus knowing the competitive or complementary characteristic of hybrid PV-Wind power plants on a local basis is identified as being of utmost relevance. The complementarity of hybrid PV-Wind power plants is confirmed. As a result of that almost no reduction of the global economic PV market potential need to be expected and more complex power system designs on basis of hybrid PV-Wind power plants are feasible. The final target of implementing renewable power technologies into the global power system is a nearly 100% renewable power supply. Besides balancing facilities, storage options are needed, in particular for seasonal power storage. Renewable power methane (RPM) offers respective options. A comprehensive global and local analysis is performed for analysing a hybrid PV-Wind-RPM combined cycle gas turbine power system. Such a power system design might be competitive and could offer solutions for nearly all current energy system constraints including the heating and transportation sector and even the chemical industry. Summing up, hybrid PV power plants become very attractive and PV power systems will very likely evolve together with wind power to the major and final source of energy for mankind.

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The impact of two crop planting methods and of the application of cyanobacterial inoculants on plant growth, yield, water productivity and economics of rice cultivation was evaluated with the help of a split plot designed experiment during the rainy season of 2011 in New Delhi, India. Conventional transplanting and system of rice intensification (SRI) were tested as two different planting methods and seven treatments that considered cyanobacterial inoculants and compost were applied with three repetitions each. Results revealed no significant differences in plant performance and crop yield between both planting methods. However, the application of biofilm based BGA bio-fertiliser + 2/3 N had an overall positive impact on both, plant performance (plant height, number of tillers) and crop yield (number and weight of panicles) as well as on grain and straw yield. Higher net return and a higher benefit-cost ratio were observed in rice fields under SRI planting method, whereas the application of BGA + PGPR + 2/3 N resulted in highest values. Total water productivity and irrigation water productivity was significantly higher under SRI practices (5.95 and 3.67 kg ha^(-1) mm^(-1)) compared to practices of conventional transplanting (3.36 and 2.44), meaning that using SRI method, water saving of about 34 % could be achieved and significantly less water was required to produce one kg of rice. This study could show that a combination of plant growth promoting rhizobacteria (PGPR) in conjunction with BGA and 2/3 dose of mineral N fertiliser can support crop growth performance, crop yields and reduces overall production cost, wherefore this practices should be used in the integrated nutrient management of rice fields in India.

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This thesis attempts to quantify the amount of information needed to learn certain tasks. The tasks chosen vary from learning functions in a Sobolev space using radial basis function networks to learning grammars in the principles and parameters framework of modern linguistic theory. These problems are analyzed from the perspective of computational learning theory and certain unifying perspectives emerge.

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The goal of this article is to reveal the computational structure of modern principle-and-parameter (Chomskian) linguistic theories: what computational problems do these informal theories pose, and what is the underlying structure of those computations? To do this, I analyze the computational complexity of human language comprehension: what linguistic representation is assigned to a given sound? This problem is factored into smaller, interrelated (but independently statable) problems. For example, in order to understand a given sound, the listener must assign a phonetic form to the sound; determine the morphemes that compose the words in the sound; and calculate the linguistic antecedent of every pronoun in the utterance. I prove that these and other subproblems are all NP-hard, and that language comprehension is itself PSPACE-hard.

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We consider the optimization problem of safety stock placement in a supply chain, as formulated in [1]. We prove that this problem is NP-Hard for supply chains modeled as general acyclic networks. Thus, we do not expect to find a polynomial-time algorithm for safety stock placement for a general-network supply chain.

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The Networks and Complexity in Social Systems course commences with an overview of the nascent field of complex networks, dividing it into three related but distinct strands: Statistical description of large scale networks, viewed as static objects; the dynamic evolution of networks, where now the structure of the network is understood in terms of a growth process; and dynamical processes that take place on fixed networks; that is, "networked dynamical systems". (A fourth area of potential research ties all the previous three strands together under the rubric of co-evolution of networks and dynamics, but very little research has been done in this vein and so it is omitted.) The remainder of the course treats each of the three strands in greater detail, introducing technical knowledge as required, summarizing the research papers that have introduced the principal ideas, and pointing out directions for future development. With regard to networked dynamical systems, the course treats in detail the more specific topic of information propagation in networks, in part because this topic is of great relevance to social science, and in part because it has received the most attention in the literature to date.