Reviewerly/exHarmony huggingface dataset:
Local Contrast-Based Pixel Ordering for Exact Histogram Specification

Histogram equalization is one of the basic image processing tasks for contrast enhancement, and its generalized version is histogram specification, which accepts arbitrary shapes of target histograms including uniform distributions for histogram equalization. It is well known that strictly ordered pixels in an image can be voted to any target histogram to achieve exact histogram specification. This paper proposes a method for ordering pixels in an image on the basis of the local contrast of each pixel, where a Gaussian filter without approximation is used to avoid the duplication of pixel values that disturbs the strict pixel ordering. The main idea of the proposed method is that the problem of pixel ordering is divided into small subproblems which can be solved separately, and then the results are merged into one sequence of all ordered pixels. Moreover, the proposed method is extended from grayscale images to color ones in a consistent manner. Experimental results show that the state-of-the-art histogram specification method occasionally produces false patterns, which are alleviated by the proposed method. Those results demonstrate the effectiveness of the proposed method for exact histogram specification.
The legacy of D. Dontsov in the context of the national Ukrainian educational paradigm

International scientific conference «The study of topical issues of modern society from the perspective of history, political science, sociology and philosophy» : conference proceedings (August 30–31, 2022. Riga, the Republic of Latvia). Riga, Latvia : «Baltija Publishing», 2022. 121 pages.
Current problems of scientific and technical creativity in the transformation of modern environmental design

International scientific conference «The study of topical issues of modern society from the perspective of history, political science, sociology and philosophy» : conference proceedings (August 30–31, 2022. Riga, the Republic of Latvia). Riga, Latvia : «Baltija Publishing», 2022. 121 pages.
Improving N-Best Rescoring in Under-Resourced Code-Switched Speech Recognition Using Pretraining and Data Augmentation

In this study, we present improvements in N-best rescoring of code-switched speech achieved by n-gram augmentation as well as optimised pretraining of long short-term memory (LSTM) language models with larger corpora of out-of-domain monolingual text. Our investigation specifically considers the impact of the way in which multiple monolingual datasets are interleaved prior to being presented as input to a language model. In addition, we consider the application of large pretrained transformer-based architectures, and present the first investigation employing these models in English-Bantu code-switched speech recognition. Our experimental evaluation is performed on an under-resourced corpus of code-switched speech comprising four bilingual code-switched sub-corpora, each containing a Bantu language (isiZulu, isiXhosa, Sesotho, or Setswana) and English. We find in our experiments that, by combining n-gram augmentation with the optimised pretraining strategy, speech recognition errors are reduced for each individual bilingual pair by 3.51% absolute on average over the four corpora. Importantly, we find that even speech recognition at language boundaries improves by 1.14% even though the additional data is monolingual. Utilising the augmented n-grams for lattice generation, we then contrast these improvements with those achieved after fine-tuning pretrained transformer-based models such as distilled GPT-2 and M-BERT. We find that, even though these language models have not been trained on any of our target languages, they can improve speech recognition performance even in zero-shot settings. After fine-tuning on in-domain data, these large architectures offer further improvements, achieving a 4.45% absolute decrease in overall speech recognition errors and a 3.52% improvement over language boundaries. Finally, a combination of the optimised LSTM and fine-tuned BERT models achieves a further gain of 0.47% absolute on average for three of the four language pairs compared to M-BERT. We conclude that the careful optimisation of the pretraining strategy used for neural network language models can offer worthwhile improvements in speech recognition accuracy even at language switches, and that much larger state-of-the-art architectures such as GPT-2 and M-BERT promise even further gains.
A model for managing the security of maritime critical infrastructure under the conditions of the fourth industrial revolution

The primary objective of the author of this paper is to propose a preliminary and theoretical model of security management of maritime critical infrastructure under the conditions of the fourth industrial revolution. The proposed model in the definition is to be comprehensive in terms of shaping information security management. The article is also an attempt to capture the main threats in the sphere of information security management during the management of critical infrastructure. In addition, the author‘s intention is to provoke/open a discussion on this topic, because as is evident from numerous scientific studies, the awareness of the negative consequences of progress is essential to take correct actions to minimize their impact.
Robust Code Constructions Based on Bent Functions and Spline Wavelet Decomposition

The paper investigates new robust code constructions based on bent functions and spline–wavelet transformation. Implementation of bent functions in code construction increases the probability of error detection in the data channel and cryptographic devices. Meanwhile, the use of spline wavelet theory for constructing the codes gives the possibility to increase system security from the actions of an attacker. Presented constructions combine spline-wavelets functions and bent functions. Developed robust codes, compared to existing ones, have a higher parameter of the maximum error masking probability. Illustrated codes ensure the security of transmitted information. Some of the granted constructions were implemented on FPGA.
Quantization in Neural Networks

Like the human brain, an artificial neural network is a complex nonlinear parallel processor; it is often called a neurocomputer. Accordingly, mathematical models of a neural network are usually continuous and stochastic, naturally associated with fuzzy logic. Classical systems of artificial intelligence are always naturally associated with classical logic and discrete mathematics. Thus, the representations and models of knowledge, undeniable at least since Aristotle, do not correspond to the cognitive models that are obtained as a result of studying the human brain. In view of Niels Bohr, quantization is a phenomenon of a discrete, sequential process, that inherent in continuous and stochastic systems. However, the traditional mathematical model of quantum mechanics did not imply generalization to dissipative systems. The corresponding generalization, called the Dynamic quantum model (DQM), was proposed by author. It is defined for any dynamic system, given by ordinary differential equation or by diffeomorphism, or for dynamic systems that using logical operations. The neural network is exactly the DQM in the space of input signals. In this paper DQM is defined and constructed universally for both Hamiltonian systems and systems with the fuzzy logic truth function on phase space. The paper goal is to demonstrate quantization on DQM, i.e. actually on neural networks, and to extend the classical Bohr-Sommerfeld condition to the general case, in particular, to systems with a fuzzy truth function.
Aspects of the research of the category musical thinking in the modern scientific space

International scientific conference «The influence of culture and art on the value orientations of civilization in war and post-war times» : conference proceedings (August 30–31, 2022. Riga, the Republic of Latvia). Riga, Latvia : «Baltija Publishing», 2022. 148 pages.
Nike erecting the tropaion in written and pictorial sources

International scientific conference «The influence of culture and art on the value orientations of civilization in war and post-war times» : conference proceedings (August 30–31, 2022. Riga, the Republic of Latvia). Riga, Latvia : «Baltija Publishing», 2022. 148 pages.
Digitization as a modern way of preserving cultural heritage

International scientific conference «The influence of culture and art on the value orientations of civilization in war and post-war times» : conference proceedings (August 30–31, 2022. Riga, the Republic of Latvia). Riga, Latvia : «Baltija Publishing», 2022. 148 pages.
Anthropology of homo faber by P. Florensky

In the article deconstruction of two texts (&amp;quot;Homo faber&amp;quot; and &amp;quot;Continuation of our Feelings&amp;quot;) from the second part of the collection &amp;quot;At the Watersheds of Thought&amp;quot; (1917-22) by P.A. Florensky and their historical and philosophical analysis are made. It is shown that Florensky&amp;apos;s late anthropology begins with criticism of the inability of classical science of knowledge of the XVII-XIX centuries to work productively with the antinomic reality in its essence. The article examines the way Florensky builds a paradigmatic scientific and philosophical concept of man as homo faber. The implicit ways of transition of his philosophical logic from the religious concept of the world and man to the concept of engineering-evolutionary are clarified. Both explicit and implicit sources of Florensky&amp;apos;s scientific and philosophical intuitions are analyzed. The historical and philosophical assessment of the figurative-conceptual complex &amp;quot;term-organ-tool&amp;quot; proposed by him is also given, on the basis of which he manages the conceived anthropological reduction of the complex phenomenon of man to the activist model homo faber.
Hypertext as an object of musicological reflection

International scientific conference «The influence of culture and art on the value orientations of civilization in war and post-war times» : conference proceedings (August 30–31, 2022. Riga, the Republic of Latvia). Riga, Latvia : «Baltija Publishing», 2022. 148 pages.
Unsupervised Anomaly Detection Ensembles using Item Response Theory

Constructing an ensemble from a heterogeneous set of unsupervised anomaly detection methods is challenging because the class labels or the ground truth is unknown. Thus, traditional ensemble techniques that use the response variable or the class labels cannot be used to construct an ensemble for unsupervised anomaly detection. We use Item Response Theory (IRT) -- a class of models used in educational psychometrics to assess student and test question characteristics -- to construct an unsupervised anomaly detection ensemble. IRT's latent trait computation lends itself to anomaly detection because the latent trait can be used to uncover the hidden ground truth. Using a novel IRT mapping to the anomaly detection problem, we construct an ensemble that can downplay noisy, non-discriminatory methods and accentuate sharper methods. We demonstrate the effectiveness of the IRT ensemble on an extensive data repository, by comparing its performance to other ensemble techniques.
Auto-tagging of Short Conversational Sentences using Transformer Methods

The problem of categorizing short speech sentences according to their semantic features with high accuracy is a subject studied in natural language processing. In this study, a data set created with samples classified in 46 different categories was used. Examples consist of sentences taken from chat conversations between a company's customer representatives and the company's website visitors. The primary purpose is to automatically tag questions and requests from visitors in the most accurate way for 46 predetermined categories for use in a chat application to generate meaningful answers to the questions asked by the website visitors. For this, different BERT models and one GPT-2 model, pre-trained in Turkish, were preferred. The classification performances of the relevant models were analyzed in detail and reported accordingly.
Orientation and Exposure Efficiency of a Solar Tracking Surface in Clear Sky

With regard to the problem of current solar irradiation of the tracking surface by the tracker, this can be rationally assessed using a modeled flux with parameters close to the natural direct in accordance with the maximum transparent atmosphere. As part of the experimental research, the values of the air optical mass index in the zenith angle ranging from 0° to 90° were presented for the surface at sea level. The conducted analysis made it possible to confront the experimental research with the models of the optical air transparency mass index. In order to maximize the energy of the controlled beam of the sun’s rays, the angle of their incidence on the tracking surface by the tracker should be minimized. The modeling results show the actual hourly dependencies, which are average values of the intensity of the multi-year measurement. It was found that seasonal dependencies can be considered as theoretically possible and then used to assess the energy efficiency of the tracking surface. Theoretically, they also correspond to the maximum possible energy efficiency of continuous tracking of the Sun with a two-axis rotary tracker. A polar-rotary tracker is a device where the axis of rotation is parallel to the axis of the earth and orients the tracking surface using the simplest synchronous algorithm with a constant angular speed ω = 15 grad/h. The novelty of the article is a method presenting the combination of a normal trajectory with direction towards the sun. Due to the deviation towards the polar axis, the normal touches the horizon, not at six hours after full sun, but earlier and simultaneously. In this way, an uniaxial pole-rotating tracker provides the same irradiation regime as a biaxial one in terms of the deviation of the tracking surface from the axis of rotation, which is equal to the tilt of the sun.
A Comparative Study of HSK 5 and HSK6 Writing Based on the Test-taking Objectives

This paper focuses on the content and characteristics of HSK CET-6 writing through the method of literature and example analysis.In addition.It summarizes the errors of CET-6 writing and puts forward some learning strategies, In addition, it summarizes the errors of CET-6 writing and puts forward some learning strategies.The purpose is to help the examinees prepare for CET-6 writing.This paper consists of seven parts.The first part is the introduction, which analyzes the background, significance, research content and methods of the the first part is the introduction, which analyzes the background, significance, research content and methods of the topic selection, as well as some literature of CET-6 writing, and makes a brief summary of the research status.The second part is a description of the HSK test, plus an overview of the CET-5 and CET-6 writing types.The third part is mainly through the collection of real questions, and the examples to analyze The third part is mainly through the collection of real questions, and the examples to analyze the three question types of the CET-5 writing, and the focus is on level 6 abbreviation and its examination sites, content, etc.Meanwhile, it gets a change.Meanwhile, it gets a change in writing between the six level and the five level.This is an integrated upgrade to level 5.Both of them have something in common, but there are also great differences, candidates need to grasp these similarities and differences, timely to adjust their own learning plan.The fourth part is an overview of writing errors in CET-6 on the basis of summarizing the previous research results: It is found that the errors are mainly divided into six categories: Chinese characters, words, discourse, grammar, format and punctuation, aiming to make students and teachers better understand the errors, their The fifth and sixth parts are some learning strategies and teaching The last part is a summary of the full text, combing the conclusions and so on.The last part is a summary of the full text, combing the conclusions and so on.
On the Charges of Destruction and Illegal Control of Computer Network Crime —— Taking the Ninth Batch of Guidance Cases of the Supreme People's Procuratorate as an Example

In Chinese Criminal Law, there are great qualitative disputes about the crime of destroying computer information system and the crime of illegally controlling computer information system. There are some phenomenons such as different evaluations of the same behavior, improper expansion of the semantics of the keyword "destruction", improper limitation of the scope of "illegal control" and so on. Taking the ninth batch of guidance cases of the Supreme People's Procuratorate as the starting point, the author analyzes the deficiencies in the identification of the two crimes in theory and practice, and provides a five-step idea to distinguish the difference between this and that crime, and weaken the emergence of this pocket crime and empty crime.
Trajectory design via unsupervised probabilistic learning on optimal manifolds – Corrigendum

An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.
Cabaran Mengaplikasi Kaedah E-Pembelajaran di Sekolah Luar Bandar Semasa Pandemik Covid-19: Dari Perspektif Guru

The transition from the conventional learning method to the e-learning method was implemented immediately to ensure that students are not left behind in their education during the Covid-19 pandemic. Therefore, this study aims to identify the challenges faced by teachers in applying the e-learning method in rural schools during the Covid-19 pandemic. The findings showed that the challenges faced by teachers were economic factors, low level of teacher knowledge and skills in information and communication technology (ICT), poor internet connection, teacher job stress, students' discipline problems, and lack of support from parents in education. It is hoped that this study will help in providing information for future researchers on issues related to the challenges faced by teachers in implementing e-learning in rural schools.
Privacy-enhancing data aggregation and data analytics in wireless networks for a large class of distributed queries

Abstract Privacy-enhancing techniques and protocols for data aggregation and analytics in wireless networks require the development of novel methods for efficient and privacy-preserving computation of distributed queries with the protection of outcomes from active attackers. Previous approaches to secure privacy-preserving computation of distributed queries incur significant communication overhead and cannot be applied to big data. This paper proposes two solutions to the problem of efficient and privacy-preserving computation of distributed queries with the protection of outcomes from active outsider attackers for a new large class of distributed statistical or numerical queries. This class contains many useful statistics and is larger than other classes considered in the literature previously. We propose two protocols for the Protection of data from Active Attackers (PAA) in the case of distributed privacy-preserving computation: PAA applying Shamir’s Secret Sharing (PAA-SSS) and PAA applying homomorphic encryption (PAA-HE). The PAA-HE protocol combines the use of ElGamal and Paillier encryption schemes in one system. Theoretical analysis and experimental results show that both protocols outperform alternative approaches. PAA-HE provides stronger protection and is more efficient than PAA-SSS.
Pengaruh Kombinasi Polimer PVP:EC dan HPMC:EC Terhadap Sediaan Transdermal Pada Karakteristik Patch yang Baik : Review

Transdermal is a drug delivery system that is placed through the surface of the skin to release the active substance in a certain dose into the bloodstream. The main constituent component in the transdermal drug delivery system which has an effect on characteristics is polymer. One of the developments in the transdermal route is the manufacture of patch preparations. Physically, a good patch must be flexible, thin, smooth, homogeneous, have drying shrinkage and low moisture absorption. So the aim of this review article was to determine the effect of polymer combinations on transdermal preparations on good patch characteristics. The method used in this review article is a literature review of various journals published online, with the category of national and international journals. The results obtained 2 primary journals related to polymer combinations to transdermal preparations, namely the combination of PVP: EC and HPMC: EC. The results of the review show that the polymer combination can have an influence on the characteristics of the patch, including the fold resistance test, weight uniformity test, thickness test, drying shrinkage test and moisture absorption test.
Special Issue on Advanced Information Processing Methods and Their Applications

The rapid development of information technology opens up new opportunities in many areas of human activity [...]
STORYTELLING OF SPOOF TEXT FOR THE ELEVENTH GRADERS: ADVANCING THE BEGINNER SPEAKER

Speaking is one of the problematic aspects of language learning for the teacher to help them more actively engaged during the teaching-learning process. However, studies show that choosing the right teaching strategy and media can overcome student’s speaking difficulties. One of the strategies chosen in this research is teaching spoof text storytelling. This study aims to describe how the storytelling of spoof text can improve students’ achievement in speaking skill for eleventh-graders. The method used is classroom action research following Kemmis &amp; Taggart’s model with the procedures of planning, acting, observing, and reflecting. The study was carried out in two cycles. Each cycle consisted of two meetings, and the result of the study showed significant improvement of students’ active participation in classroom and fluency in speech. Most of the students obtained higher scores at the end of the research cycle. It proves that the use of storytelling of spoof text can improve students’s speaking skill. The finding of this study implies the need of English teacher's creativity to support the student's speaking skill by using interesting learning materials and strategies
Efficient Mapping Scheme for Elliptic Curve Cryptosystem in a Multiprocessing Environment

Abstract The security of Elliptic Curve Cryptosystem (ECC) hinges on on the hardness of Elliptic Curve Discrete Logic Problem. However, existing mapping schemes are inefficient, make ECC vulnerable to security attacks and cannot be efficiently implemented in a multiprocessing environment. In this paper, an efficient mapping scheme which employ the use of Columnar Transposition technique for bit manipulation before message mapping to point on the elliptic curve was developed. Comparative security, efficiency and performance analysis of the developed mapping scheme with the existing ones were investigated. The outcomes show that the developed mapping scheme is resilient to different attacks that the existing scheme are vulnerable to. ECC schemes that use the developed mapping scheme efficiently use resources in multiprocessing environment, requires lower bandwidth for transmission of encrypted point, without negatively affecting the encryption/decryption time, throughputs and energy consumption, than the ECC schemes with existing mapping schemes.