Dynamic Analysis of Intellectual Property

Author(s):  
Jonathan M. Barnett

This chapter proposes a dynamic approach to IP analysis that assesses the effects of changes in the strength of IP rights by anticipating firms’ ability to adopt alternative non-IP mechanisms for capturing returns on innovation. Some of the most powerful non-IP alternatives are the economies of scale, financing capacities, and accumulated goodwill that are inherent to older, larger, and more integrated entities. By contrast, these non-IP alternatives are generally unavailable to younger, smaller, and less integrated entities. These entity-specific differences in adopting non-IP alternatives imply that changes in the strength of IP rights can have significantly different effects on different entity types as a function of age, size, and level of integration. Critically, weak- or zero-IP regimes can advantage large incumbents by compelling exit or deterring entry by smaller and less integrated firms that cannot sufficiently monetize R&D investments in the absence of reasonably secure IP protections.

Author(s):  
Sebastian Brusca ◽  
Rosario Lanzafame ◽  
Maria Luisa Lo Trovato

The present paper deals with the dynamic analysis of a heavy duty combustion turbine running on natural gas. Hence, a mathematical model of the power plant has been implemented. The model is able to simulate the engine behavior during steady state, as well as transient conditions. In order to test the model efficacy and accuracy, a dynamic analysis of a Siemens V94.3 A running as topper in a Combined Cycle (CC) complex has been carried out. Therefore, numerical results have been compared with experimental data extracted from the monitoring system of the plant for different running conditions. Comparison results analysis highlighted that the developed mathematical model is able to simulate correctly engine behavior in different combustion turbine conditions.


Author(s):  
Gregory Isachenko

Basic grounds of the concept of the landscape-dynamic analysis are considered. The key notions of this concept are landscape site and long-term state of landscape. The typology of natural landscape sites of taiga of the European Russia Northwest are carried out, that includes 36 types and more than 60 kinds of sites. Application of landscape-dynamic approach (including mapping of dynamics of landscapes) in territorial planning, forest management, environmental assessment of seaport complexes and communi-cations, design and conservation of landscapes of natural protected territories is considered. Key words: landscape, concept of landscape dynamics, landscape site, long-term state of landscape, landscape-dynamic scenario.


Author(s):  
Max Hoffmann ◽  
Christof Paar

Opaque predicates are a well-established fundamental building block for software obfuscation. Simplified, an opaque predicate implements an expression that provides constant Boolean output, but appears to have dynamic behavior for static analysis. Even though there has been extensive research regarding opaque predicates in software, techniques for opaque predicates in hardware are barely explored. In this work, we propose a novel technique to instantiate opaque predicates in hardware, such that they (1) are resource-efficient, and (2) are challenging to reverse engineer even with dynamic analysis capabilities. We demonstrate the applicability of opaque predicates in hardware for both, protection of intellectual property and obfuscation of cryptographic hardware Trojans. Our results show that we are able to implement stealthy opaque predicates in hardware with minimal overhead in area and no impact on latency.


2015 ◽  
Vol 1 (1) ◽  
pp. 65 ◽  
Author(s):  
Bunyamin Demir ◽  
Nesrin Alptekin ◽  
Yilmaz Kilicaslan ◽  
Mehmet Ergen ◽  
Nilgun Caglarirmak Uslu

The aim of this study is to examine the existence of chaotic structure in agricultural production in Turkey by using Chaotic Dynamic Analysis (CDA) and to provide accurate forecasts of agricultural production. The data of wheat, barley and rice production in Turkey obtained from Turkish Statistical Institute (TURKSTAT) covers the period of 1991 to 2009. Our analysis shows that the supply of the selected agricultural products has a chaotic structure. Our dynamic system constructed predicted the supply of year 2010 with % 0.5 error for wheat, %5 error for barley, and %2.5 error ratio for rice. This study is the first attempt using CDA to forecast future agricultural product supply in Turkey. The findings of this study will help to produce effective policies to prevent supply disequilibrium, and excess price fluctuations.


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