Испоьзование методов искусственного интеллекта в изучении личности серийных убийц
Modern criminalists do not share a common opinion regarding the choice of parameters which could be used to work out a system of characteristics to differentiate a maniac killer from an ordinary person. This hinders the development of efficient software for investigation purposes. The paper describes the experience of developing a neural network that can learn using data about known serial killers, including their biological, social and psychological parameters. The authors also evaluate the errors of this neural network’s mathematical model, prove its adequacy and present a study which allowed to work out a comparative evaluation of the impact that different parameters have on the modeling result, i.e. a person’s predisposition to violence. They prove that the most important parameters include: a psychiatric disorder, alcoholic parents, growing up with parents, family status, social status. The impact that some parameters have on the predisposition to committing serial murders is shown using the data of actual persons in virtual computer experiments. Their results revealed some interesting regularities. For example, it was shown that if some maniac killers had children, this would reduce their predisposition to violence whereas for some others it would not. The same was observed when researching the impact of other parameters, such as the gravity of the psychiatric disorder, social and family status, etc. To determine how predisposed to serial crimes a certain person is, it is necessary to conduct a complex analysis of all the parameters in a mathematical model. Computer software based on this mathematical model was adapted for crime detection specialists. It is in open access on the website of Perm Branch of Artificial Intelligence Methodology Research Council of Russian Academy of Sciences. This software can be used by investigators of serial crimes at the initial stages of investigation when it is necessary to process large volumes of data regarding potential suspects.
The considered model of the failure rate of CMOS VHSIC design proposed in the article Piskun G.A., Alekseev V.F., "Improvement of mathematical models calculating of CMOS VLSIC taking into account features of impact of electrostatic discharge", published in the first issue of the journal "Technologies of electromagnetic compatibility" for the year 2016. It is shown that the authors claim that this model "...will more accurately assess the reliability of CMOS VHSIC design" is fundamentally flawed and its application will inevitably lead to inadequate results. Alternatively, the proposed model of the failure rate of CMOS VHSIC design, which also allows to take into account the views of ESD, but based on the use of resistance characteristics of CMOS VHSIC to the effects of ESD.
By analyzing the logs of corporate e-mail networks we found a number of patterns, showing how the size of ego-networks of individual employees changes on a day by day basis. We proposed a simple model that adequately describes the observed time dependence of an employee's "social circle". Comparison of experimental data with the theoretical model showed that employees are divided into two groups - with fast and slow changes in their social circles, respectively. We believe that the presence of these groups reflects both project-type and process-type of employees' activities. Comparison of data obtained before and during the global economic crisis has shown that the crisis led to an actual reduction in project-type activities.
The book is devoted to problems of legislative, theoretical and judicial defining of subject of economic crimes in Russian and German criminal law in connection with legal persons. The authors analyze the current theoretical conceptions and case law and formulate proposals for improvement of present approaches. The special attention is given to liability of competitive manager for crimes committed in course of bankruptcy.
The article provides a comparative legal of the nature of social danger with other criminal law and civil phenomena. It proves that social danger is correlated with law and pertains exclusively to criminal law. The author suggests that harm should be distinguished from social danger which has institutional rather than predicate importance from criminal law.
This book constitutes the refereed proceedings of the 12th Industrial Conference on Data Mining, ICDM 2012, held in Berlin, Germany in July 2012. The 22 revised full papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on data mining in medicine and biology; data mining for energy industry; data mining in traffic and logistic; data mining in telecommunication; data mining in engineering; theory in data mining; theory in data mining: clustering; theory in data mining: association rule mining and decision rule mining.
We consider certain spaces of functions on the circle, which naturally appear in harmonic analysis, and superposition operators on these spaces. We study the following question: which functions have the property that each their superposition with a homeomorphism of the circle belongs to a given space? We also study the multidimensional case.
We consider the spaces of functions on the m-dimensional torus, whose Fourier transform is p -summable. We obtain estimates for the norms of the exponential functions deformed by a C1 -smooth phase. The results generalize to the multidimensional case the one-dimensional results obtained by the author earlier in “Quantitative estimates in the Beurling—Helson theorem”, Sbornik: Mathematics, 201:12 (2010), 1811 – 1836.
This proceedings publication is a compilation of selected contributions from the “Third International Conference on the Dynamics of Information Systems” which took place at the University of Florida, Gainesville, February 16–18, 2011. The purpose of this conference was to bring together scientists and engineers from industry, government, and academia in order to exchange new discoveries and results in a broad range of topics relevant to the theory and practice of dynamics of information systems. Dynamics of Information Systems: Mathematical Foundation presents state-of-the art research and is intended for graduate students and researchers interested in some of the most recent discoveries in information theory and dynamical systems. Scientists in other disciplines may also benefit from the applications of new developments to their own area of study.
We consider the spaces of function on the circle whose Fourier transform is p-summable. We obtain estimates for the norms of exponential functions deformed by a C1 -smooth phase.