This was to my office and it literally blew everything in myROLODEX file to all corners of the globe ---- never to be found again. I am in the process of trying to replace the very importantpapers and contact information in the ROLODEX file, but cannot findthe CD KEY to my NASCAR 2003 simulation. I have attempted to contact PAPYRUS but do not have a goodcontact method ----- if they even exist at all these days. I bought this simulation when it was new and have a computer withWIN98SE to run it on --- but I need to reinstall it and need a KEY toget this done. Can someone assist me in telling me where I can get a KEY to thissimulation --- or supply me with one? Any assistance would be appreciated. Thanks Doug H
There is a generic cd-key that will let you install the game:RAB2-RAB2-RAB2-RAB2-8869It didn't work for Sierra online, but now with the partial server shutdown,I don't know what current situation is. For non-Sierra TCP-IP play via publicservers it's not an issue.To save wear and tear on the cd-rom, you can use the "no-cd" version afteryou install NR2003. Considering that Ebay sellers are asking over $100 fornew copies of NR2003, there is a legitimate reason for minimizing usageof the cd-rom.The Sierra server used to do a checksum on the game, but that only occurredwhen you signed in, which allowed a work-around for the "no-cd" version.On Windows XP, a batch file that runs the "no-cd" version, then renamesthat version to something else, and then renames the original version tonr2003.exe works just fine. Using nr2003n.exe for the no-cd version andnr2003c.exe for the original cd version, place a batch file with theselines into your NR2003 game directory, and then create a link to it inthe programs folder for NR2003:if not exist nr2003c.exe ren nr2003.exe nr2003c.exeif not exist nr2003n.exe ren nr2003.exe nr2003n.exeren nr2003n.exe nr2003.exestart nr2003.exeren nr2003.exe nr2003n.exeren nr2003c.exe nr2003.exeThe only XP specific command here is the "start" command which launches NR2003in parallel, while the batch file continues to run to rename files then exits.Orignally players 'ed out of the game to rename files, but theXP batch file simplfied this.
The Simulation CD-Key Generator
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Functional encryption (FE) is a novel paradigm for encryption scheme which allows tremendous flexibility in accessing encrypted information. In FE, a user can learn specific function of encrypted messages by restricted functional key and reveal nothing else about the messages. Inner product encryption (IPE) is a special type of functional encryption where the decryption algorithm, given a ciphertext related to a vector x and a secret key related to a vector y, computes the inner product xy. In this paper, we construct an efficient private-key functional encryption (FE) for inner product with simulation-based security, which is much stronger than indistinguishability-based security, under the External Decisional Linear assumption in the standard model. Compared with the existing schemes, our construction is faster in encryption and decryption, and the master secret key, secret keys and ciphertexts are shorter.
We construct a more efficient and flexible private-key IPE scheme with simulation-based security. To ensure correctness, our scheme requires that the computation of inner products is within a polynomial range (Datta et al. 2016), where discrete logarithm of gxy can be found in polynomial time.
There are two notions of security for a FE scheme, indistinguishability-based security and simulation based security model. The former one requires that an adversary cannot distinguish between ciphertexts of any two messages m0,m1 with access to a secret key skf of function f such that f(m0)=f(m1). By contrast, the latter one requires that the view of the adversary can be simulated by a simulator, given only access to secret keys and functions evaluated on the corresponding messages. Note that simulation-based security has higher security strength than indistinguishability-based security such that there exists an indistinguishability-based secure FE scheme for a certain functionality which is not able to be proved secure under simulation-based security. Our scheme achieves simulation-based security, which is more secure than indistinguishability-based security.
Let \(\mathcal G_\mathsf ob\) be the random dual orthonormal basis generator that takes 1λ and a dimension of bases n and outputs (\(\mathsf param_\mathbb G,\mathbb B,\mathbb B^*,g_T\)), where \(\mathbb B,\mathbb B^*,g_T\) are computed as above. We denote the combination(\(\mathsf param_\mathbb G,g_T\)) by \(\mathsf \mathsf param_\mathbb V\). For a vector \(\boldsymbol x=(x_1,\cdots,x_n)^T \in \mathbb Z_q^n\) and a basis \(\mathbb B:=(\boldsymbol b_1,\cdots,\boldsymbol b_n)\) we denote \(\sum _i=1^n x_i \boldsymbol b_i=\\ \left (\begin arrayccc x_1 &\cdots & x_n \end array \right) \left (\begin arrayc \boldsymbol b_1 \\ \vdots \\ \boldsymbol b_n \end array \right) \text by (\boldsymbol x)_\mathbb B\). Then we have
An IPE scheme is simulation-based secure if there exists a PPT simulator \(\mathcal S\) such that, for all PPT adversaries \(\mathcal A\), the outputs of the following two experiments are computationally indistinguishable:
To demonstrate the advantage of our IPE scheme, we compare it with some related schemes (Bishop et al. 2015; Tomida et al. 2016; Datta et al. 2017; Zhao et al. 2018; Zhao et al. 2018) in the Table 2. Performance in our scheme is superior to that in the previous schemes in both storage complexity and computation complexity. Our scheme has shorter secret keys and ciphertexts. Additionally, our scheme is secure under weaker assumptions than other schemes. IND and SIM mean indistinguishability-based security and simulation-based security, respectively. KeyGen and Encrypt mean scalar multiplication on a cyclic group of IPE.KeyGen algorithm and IPE.Encrypt algorithm, respectively, and Decrypt means pairing operation on a bilinear pairing group of IPE.Decryption algorithm.
In this paper, we presented an efficient private-key inner product encryption scheme which achieves simulation-based security. Our scheme utilizes asymmetric bilinear pairing groups of prime order under the XDLIN assumption. There are still some open problems for inner product encryption can be explored and researched further. One of the problems is to build unbounded FE schemes for different functionalities, such as Quadratic Polynomials (Baltico et al. 2017). Another one is to construct a Multi-Input inner product encryption scheme under simulation-based security. Abdalla et al. (2017).
The Monte Carlo simulation is used to estimate the probability of a certain income. As such, it is widely used by investors and financial analysts to evaluate the probable success of investments they're considering. Some common uses include:Pricing stock options. The potential price movements of the underlying asset are tracked given every possible variable. The results are averaged and then discounted to the asset's current price. This is intended to indicate the probable payoff of the options.Portfolio valuation. A number of alternative portfolios can be tested using the Monte Carlo simulation in order to arrive at a measure of their comparative risk.Fixed income investments. The short rate is the random variable here. The simulation is used to calculate the probable impact of movements in the short rate on fixed rate investments."}},"@type": "Question","name": "What Professions Use the Monte Carlo Simulation?","acceptedAnswer": "@type": "Answer","text": "It may be best known for its financial applications, but the Monte Carlo simulation is used in virtually every profession that must measure risks and prepare to meet them.For example, a telecom may build its network to sustain all of its users all of the time. In order to do that, it must consider all of the possible variations in demand for the service. It must determine whether the system will stand the strain of peak hours and peak seasons.A Monte Carlo simulation may help the telecom decide whether its service is likely to stand the strain of Super Bowl Sunday as well as an average Sunday in August.","@type": "Question","name": "What Factors Are Evaluated in a Monte Carlo Simulation?","acceptedAnswer": "@type": "Answer","text": "A Monte Carlo simulation in investing is based on historical price data on the asset or assets being evaluated.The building blocks of the simulation, derived from the historical data, are drift, standard deviation, variance, and average price movement."]}]}] EducationGeneralDictionary
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