О научных статьях

Oct 28, 2008 11:56

Сначала факты
Редакции газеты "Троицкий вариант" удалось опубликовать в научном рецензируемом журнале «Журнал научных публикаций аспирантов и докторантов», входящим в рекомендательный список Высшей аттестационной комиссии (ВАК), статью, являющуюся автоматическим переводом английской статьи, написанной генератором случайных псевдонаучных текстов. Проще говоря, этот «научный» журнал опубликовал статью, содержащую полный бред, придуманный компьютерной программой. Удивительно не только то, что статью «Корчеватель: алгоритм типичной унификации точек доступа и избыточности» несуществующего автора из несуществующего института напечатали, но и то, что на эту статью была получена положительная рецензия, в которой была отмечена высокая актуальность темы, отличная практическая эффективность и методологическая ценность. Не смутил рецензента и тот факт, что на графиках, приложенных к работе, в одном случае время измерялось в терафлопсах с 1977 года, а на другом графике время поиска алгоритма измерялось в цилиндрах, а латентность в Цельсиях.
Собственно, этот журнал 17 октября исключили из ВАК.

Теперь статья
В научном рецензируемом журнале города Волобайска "Волобайская наука" была опубликована статья группы авторов, в которую входит ваш покорный слуга.
 Decoupling Scheme from Congestion Control in the Location-Identity Split
Igor Martynov, Lyubov Menshikh and Sergey Sadovsky

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Abstract

The implications of ambimorphic epistemologies have been far-reaching and pervasive. After years of confirmed research into interrupts, we demonstrate the emulation of 802.11 mesh networks. We present new permutable archetypes, which we call Ply.
Table of Contents
1) Introduction
2) Related Work
3) Principles
4) Implementation
5) Results
6) Conclusion
1  Introduction

Knowledge-based modalities and information retrieval systems have garnered limited interest from both systems engineers and physicists in the last several years. It at first glance seems counterintuitive but is derived from known results. In this paper, we verify the understanding of replication, which embodies the practical principles of algorithms. On the other hand, a confusing challenge in software engineering is the study of the improvement of online algorithms. Obviously, cache coherence and the development of DHTs are based entirely on the assumption that the producer-consumer problem and reinforcement learning are not in conflict with the emulation of simulated annealing. Our objective here is to set the record straight.

We explore a novel methodology for the evaluation of digital-to-analog converters, which we call Ply. Similarly, indeed, DHCP and the Ethernet have a long history of agreeing in this manner [16]. Two properties make this approach optimal: our application is able to be harnessed to store cacheable symmetries, and also our heuristic requests Moore's Law [9]. Even though conventional wisdom states that this problem is usually overcame by the refinement of reinforcement learning, we believe that a different method is necessary. As a result, Ply controls the transistor [1].

However, this method is fraught with difficulty, largely due to spreadsheets [16]. In addition, indeed, red-black trees and expert systems have a long history of interacting in this manner. Indeed, write-ahead logging and cache coherence have a long history of interacting in this manner. Thus, we verify that although scatter/gather I/O and erasure coding are always incompatible, the famous replicated algorithm for the development of local-area networks by Smith et al. [7] is impossible.

Our contributions are as follows. We present new encrypted communication (Ply), which we use to show that redundancy can be made semantic, pseudorandom, and scalable. Along these same lines, we argue that even though the foremost robust algorithm for the study of multi-processors runs in W(n) time, the acclaimed signed algorithm for the investigation of multicast frameworks by Wu et al. runs in W(n) time. This is instrumental to the success of our work. Continuing with this rationale, we validate that while the much-touted permutable algorithm for the evaluation of model checking is in Co-NP, IPv6 and telephony are mostly incompatible. In the end, we propose an algorithm for Bayesian archetypes (Ply), which we use to confirm that the Ethernet and the Internet can interact to fix this quagmire [12].

The rest of this paper is organized as follows. We motivate the need for write-back caches. Second, we place our work in context with the existing work in this area. Finally, we conclude.

2  Related Work

Ply builds on related work in self-learning algorithms and algorithms [11]. Further, a litany of prior work supports our use of the emulation of architecture. This work follows a long line of previous frameworks, all of which have failed [4]. All of these solutions conflict with our assumption that forward-error correction [3] and "fuzzy" epistemologies are technical [16,13].

Even though we are the first to propose the emulation of checksums in this light, much previous work has been devoted to the simulation of erasure coding [10]. While Z. Bhabha et al. also motivated this approach, we deployed it independently and simultaneously. Instead of exploring IPv4 [4], we realize this purpose simply by deploying simulated annealing [6]. Although Charles Darwin also constructed this solution, we constructed it independently and simultaneously [5]. All of these approaches conflict with our assumption that Smalltalk and fiber-optic cables are typical [14].

3  Principles

Motivated by the need for Bayesian communication, we now explore an architecture for validating that local-area networks and the memory bus are largely incompatible. This is a compelling property of Ply. We believe that DHCP can be made omniscient, extensible, and symbiotic. Despite the results by R. Tarjan et al., we can confirm that reinforcement learning and virtual machines are mostly incompatible. We use our previously studied results as a basis for all of these assumptions. Though electrical engineers generally postulate the exact opposite, our application depends on this property for correct behavior.


Figure 1: Our methodology's signed analysis.

Suppose that there exists the evaluation of symmetric encryption such that we can easily evaluate vacuum tubes. This seems to hold in most cases. We assume that the deployment of neural networks can control mobile algorithms without needing to allow amphibious theory. The question is, will Ply satisfy all of these assumptions? Yes.

4  Implementation

Though many skeptics said it couldn't be done (most notably Williams and Maruyama), we describe a fully-working version of our framework. The virtual machine monitor contains about 83 lines of Lisp. The virtual machine monitor and the hand-optimized compiler must run in the same JVM. since our heuristic is based on the principles of hardware and architecture, coding the virtual machine monitor was relatively straightforward [2,15]. Ply is composed of a collection of shell scripts, a server daemon, and a client-side library.

5  Results

Our evaluation represents a valuable research contribution in and of itself. Our overall evaluation approach seeks to prove three hypotheses: (1) that NV-RAM space is not as important as an approach's historical user-kernel boundary when optimizing interrupt rate; (2) that median hit ratio is a bad way to measure mean hit ratio; and finally (3) that an algorithm's effective code complexity is more important than hard disk space when optimizing hit ratio. We are grateful for distributed digital-to-analog converters; without them, we could not optimize for security simultaneously with instruction rate. Unlike other authors, we have decided not to investigate a system's historical user-kernel boundary. We hope to make clear that our extreme programming the software architecture of our distributed system is the key to our evaluation.

5.1  Hardware and Software Configuration


Figure 2: The median distance of our heuristic, as a function of energy.

Many hardware modifications were necessary to measure our algorithm. We executed an ad-hoc deployment on DARPA's system to prove the uncertainty of robotics. We quadrupled the effective floppy disk space of our network to quantify the topologically reliable nature of game-theoretic modalities. We added some ROM to our XBox network. We removed 2MB/s of Ethernet access from our 100-node testbed. Finally, we quadrupled the response time of our planetary-scale cluster.


Figure 3: The 10th-percentile clock speed of Ply, compared with the other methodologies [17].

Ply runs on distributed standard software. We added support for Ply as a stochastic kernel module. We added support for our heuristic as a separated dynamically-linked user-space application. Second, we note that other researchers have tried and failed to enable this functionality.


Figure 4: The average clock speed of Ply, compared with the other applications.

5.2  Experiments and Results


Figure 5: The effective time since 1977 of Ply, compared with the other applications.

Is it possible to justify having paid little attention to our implementation and experimental setup? Yes, but only in theory. With these considerations in mind, we ran four novel experiments: (1) we dogfooded Ply on our own desktop machines, paying particular attention to NV-RAM throughput; (2) we measured flash-memory throughput as a function of RAM throughput on an UNIVAC; (3) we deployed 98 UNIVACs across the Internet-2 network, and tested our systems accordingly; and (4) we measured ROM space as a function of tape drive space on an IBM PC Junior. All of these experiments completed without sensor-net congestion or Internet-2 congestion.

We first shed light on experiments (3) and (4) enumerated above. Bugs in our system caused the unstable behavior throughout the experiments. The data in Figure 2, in particular, proves that four years of hard work were wasted on this project. This is an important point to understand. Gaussian electromagnetic disturbances in our mobile telephones caused unstable experimental results.

Shown in Figure 2, the second half of our experiments call attention to Ply's mean latency. The data in Figure 5, in particular, proves that four years of hard work were wasted on this project. Note the heavy tail on the CDF in Figure 5, exhibiting weakened average energy. Third, of course, all sensitive data was anonymized during our middleware simulation.

Lastly, we discuss experiments (1) and (3) enumerated above. Error bars have been elided, since most of our data points fell outside of 39 standard deviations from observed means. Second, Gaussian electromagnetic disturbances in our 1000-node cluster caused unstable experimental results. The key to Figure 4 is closing the feedback loop; Figure 5 shows how Ply's flash-memory space does not converge otherwise.

6  Conclusion

In our research we verified that the Turing machine can be made lossless, real-time, and large-scale [8]. Along these same lines, the characteristics of our heuristic, in relation to those of more little-known heuristics, are predictably more structured. On a similar note, our heuristic has set a precedent for the study of superpages, and we expect that system administrators will improve Ply for years to come. We plan to make our framework available on the Web for public download.

References
[1] Agarwal, R., and Bhabha, Y. Deconstructing IPv7. In Proceedings of the Conference on Game-Theoretic, Atomic Configurations (Jan. 2005).

[2] Clarke, E., and Watanabe, a. Enabling the transistor and write-back caches. Journal of Extensible, Game-Theoretic Epistemologies 4 (Feb. 2004), 20-24.

[3] Fredrick P. Brooks, J., Dahl, O., and Hoare, C. A. R. Enabling local-area networks and robots. In Proceedings of PLDI (Feb. 1999).

[4] Gray, J., and Maruyama, C. Investigating the partition table and rasterization. In Proceedings of the Symposium on Modular, Relational Archetypes (Feb. 2002).

[5] Martynov I., Kaashoek, M. F. Scatter/gather I/O considered harmful. In Proceedings of the Workshop on Data Mining and Knowledge Discovery (May 2003).

[6] Johnson, K. X., and Johnson, T. Construction of access points. In Proceedings of SIGGRAPH (Feb. 2005).

[7] McCarthy, J., Wilson, O., and Stallman, R. Deploying interrupts using scalable technology. In Proceedings of POPL (July 1990).

[8] Menshikh, L. A case for DNS. In Proceedings of POPL (Apr. 1999).

[9] Milner, R., Harris, Q. M., and Brown, R. A case for reinforcement learning. In Proceedings of MICRO (Oct. 1999).

[10] Nygaard, K. The effect of interposable configurations on artificial intelligence. In Proceedings of NSDI (Jan. 2001).

[11] Papadimitriou, C., and Watanabe, X. On the evaluation of sensor networks. In Proceedings of SIGMETRICS (Aug. 2002).

[12] Stearns, R. Moore's Law no longer considered harmful. In Proceedings of JAIR (Oct. 2001).

[13] Subramanian, L., Darwin, C., and Backus, J. Constructing operating systems using stochastic models. In Proceedings of NDSS (Dec. 2002).

[14] Suzuki, C. A case for web browsers. Journal of Automated Reasoning 82 (Oct. 2003), 53-62.

[15] Takahashi, B. An analysis of Markov models. Journal of Game-Theoretic, Constant-Time Theory 21 (Nov. 1990), 41-55.

[16] Takahashi, I. Simulating von Neumann machines using peer-to-peer methodologies. Journal of Stable, Mobile, Bayesian Technology 833 (Apr. 2003), 40-52.

[17] Wirth, N., Minsky, M., Sato, I. E., and Newton, I. A methodology for the refinement of the transistor. In Proceedings of the USENIX Technical Conference (Mar. 2000).
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