In this paper, we present a new method to protect software against illegal acts of hacking. The key idea is to add a mechanism of self-modifying codes to the original program, so that the original program becomes hard to be analyzed. In the binary program obtained by the proposed method, the original code fragments we want to protect are camouflaged by dummy instructions. Then, the binary progr...

When the number of players is small in a weighted majority voting game, it can occur that one of the players has no influence on the result of the vote, in spite of a strictly positive weight. Such a player is called a “dummy” player in game theory. The purpose of this paper is to investigate the conditions that give rise to such a phenomenon and to compute its likelihood. It is shown that the ...

This paper presents an analysis of mixes and dummy traffic policies, which are building blocks of anonymous services. The goal of the paper is to bring together all the issues related to the analysis and design of mix networks. We discuss continuous and pool mixes, topologies for mix networks and dummy traffic policies. We point out the advantages and disadvantages of design decisions for mixes...

Chip-level CMP modeling is investigated to obtain the post-CMP film profile thickness across a die from its design layout file and a few film deposition and CMP parameters. The work covers both HDP and conformal CVD film. The experimental CMP results agree well with the modeled results. Different algorithms for filling of dummy structure are compared. A “smart” algorithm for dummy filling is pr...

This paper contributes to the conflicting international evidence on the impact of information and communication technology (ICT) on labour productivity (LP) growth. We examine the link between ICT intensity and New Zealand s LP growth in 29 industries over the period 1988–2003, and over relevant sub-periods. After deriving an ICT intensity index to classify industries into more ICT intensive an...

This paper considers the nonparametric identification and estimation of the average effect of a dummy endogenous variable in nonseparable models. The analysis includes the case of a dummy endogenous variable in a discrete choice model as a special case. This paper establishes conditions under which it is possible to identify and consistently estimate the average effect of the dummy endogenous v...

In statistics and econometrics, particularly in regression analysis, a dummy variable (also known as an indicator variable) is one that takes the values 0 or 1 to indicate the absence or presence of some categorical effect that may be expected to shift the outcome.[1] For example, in econometric time series analysis, dummy variables may be used to indicate the occurrence of wars, or major strik...

With the development of national-scale forest biomass monitoring work, accurate estimation of forest biomass on a large scale is becoming an important research topic in forestry. In this study, the stem wood, branches, stem bark, needles, roots and total biomass models for larch were developed at the regional level, using a general allometric equation, a dummy variable model, a mixed effects mo...