59 research outputs found

    Exploring the Law of Numbers: Evidence from China's Real Estate

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    The renowned proverb, Numbers do not lie, underscores the reliability and insight that lie beneath numbers, a concept of undisputed importance, especially in economics and finance etc. Despite the prosperity of Benford's Law in the first digit analysis, its scope fails to remain comprehensiveness when it comes to deciphering the laws of number. This paper delves into number laws by taking the financial statements of China real estate as a representative, quantitatively study not only the first digit, but also depict the other two dimensions of numbers: frequency and length. The research outcomes transcend mere reservations about data manipulation and open the door to discussions surrounding number diversity and the delineation of the usage insights. This study wields both economic significance and the capacity to foster a deeper comprehension of numerical phenomena.Comment: DS

    Application of Benford's law in deepfake image detection

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    Разработка и совершенствование технологий обнаружения deepfake являются одним из приоритетных направлений обеспечения социальной и биометрической безопасности. В работе исследуются перспективы применения закона Бенфорда как инструмента обнаружения deepfake-изображений, сгенерированных нейросетями GAN. Предлагаемый подход основан на анализе спектра мощности и энтропии изобра-жений. Эффективность предложенного метода апробировалась на датасетах, сгенерированных нейросетями StyleGAN2 и StyleGAN3. Предложенный метод не требует больших вычислительных мощностей

    Self and Other in SF: Alien Encounters

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    Alien-encounter Science Fiction involves the introduction of sentient alien beings into the actantial system of the fictional universe; one or more of the actants are nonhuman or superhuman or subhuman. By staging a confrontation between an alien actant and a terran representative, alien-encounter Science Fiction broaches the question of Self and the Other. The reader recuperates this fiction by comparing human and alien entities, measuring the Self by examining the Other. Alien encounters can be discriminated according to the extent to which the alien actant adheres to or departs from anthropocentric norms; in simple terms, we can distinguish between human aliens and alien aliens. This article examines the nature of human aliens by analyzing Orson Scott Card\u27s Ender trilogy, a work which theorizes and surveys possible sets of relations between terran and alien actants. It explores the problematics of alien aliens by looking at appropriate texts by Lem, Benford and Clarke

    Daily Announcements October 2012

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    Daily Announcements October 2012

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    Crime Investigation: A Course in Computer Forensics

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    The growing amount of crime, such as corporate frauds and virus attacks, in the last two decades highlights not only the importance of computer forensics in crime investigations but also the lack of forensic specialists in this area. An urgent need exists for universities to provide courses on computer forensics to ease the shortage of forensic specialists. This paper proposes a six-dimensional knowledge model for computer forensic courses. The six dimensions include categories of crime, computer technology, security, legislation, investigation process, and forensic tools. The paper describes in detail how the model was implemented in a postgraduate introductory computer forensic course. A brief summary of the lessons learned by the author in the course development and delivery is also presented

    Application of Benford's law in scientometrics

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    This diploma thesis is focused on determining the degree of presence of Benford's law in citation data. The data and their acquisition are described in detail. The most extensive analysis was performed on a dataset of 8.6 million records of scientific outputs from the Web of Science database, over a five-year period, with a selection of the three most numerous and most cited types of documents. Descriptive MAD (Mean Absolute Deviation) statistic were used to determine the degree of presence of Benford's law. The degree of presence of Benford's law was also determined for two datasets, the production of public universities in the Czech Republic and the Academy of Sciences of the Czech Republic under the same conditions as in other analyses.Tato diplomová práce je zaměřena na zjištění míry sledování Benfordova zákona v citačních datech. Detailně jsou popsána data i jejich získání. Nejrozsáhlejší analýza byla provedena nad datasetem 8,6 milionu záznamů vědeckých výstupů z databáze Web of Science, za pětileté období, s výběrem tří nejpočetnějších a nejcitovanějších typů dokumentů. Pro zjištění míry sledování Benfordova zákona byla použita popisná statistika MAD (Mean Absolute Deviation). Také byla zjištěna míra sledování Benfordova zákona u dvou datasetů, produkce veřejných vysokých škol České republiky a u Akademie věd České republiky a to za stejných podmínek, jako u dalších analýz.Ústav informačních studií a knihovnictvíInstitute of Information Studies and LibrarianshipFaculty of ArtsFilozofická fakult
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