Reviewerly/exHarmony huggingface dataset:
Unsupervised Anomaly Detection with a GAN Augmented Autoencoder

Anomaly detection is a task of identifying samples that differ from the training data distribution. There are several studies that employ generative adversarial networks (GANs) as the main tool to detect anomalies using the rich contextual information that GANs provide. We propose an unsupervised GAN-based model combined with an autoencoder to detect the anomalies. Then we use the latent information obtained from the autoencoder, the internal representation of the discriminator, and visual information of the generator to assign an anomaly score to samples. This anomaly score is used to discriminate anomalous samples from normal samples. The model was evaluated on benchmark datasets such as MNIST and CIFAR10 plus on a specific domain of medical images of a public Leukemia dataset. The model achieved state-of-the-art performance in comparison with its counterparts in almost all of the experiments.
An Algorithm for Intelligent Identification of Moving Objects in Natural Environment

The intelligent moving object detection has become one of the key research areas in the computer vision.Although, there are a lot of researches and methods have been proposed related to the intelligent moving object detection, and visual surveillance and intelligent recognition system.However, still it's a great challenge of intelligent identification of moving object detection in the natural environment, due to the natural factors such as wind, sunlight, lighting and sudden illumination change which has been affecting the accuracy of moving object detection and intelligent recognition.For example, wind makes swaying trees and water rippling; sunlight makes shadows; lighting causes sudden change of light.To eliminate these problems, we have proposed a hybrid novel method based on Gaussian mixture model (GMM); Background subtraction; HSV color model; Feature extraction; and Neural networks.First, background is modeled with Gaussian Mixture Model (GMM), to eliminate the effect caused by the natural environment.Second, foreground image is extracted with background subtraction method.Third, the shadows of moving objects are detected and removed in HSV color model and morphological operation is done to get the clean foreground.That means detection is completed.Then, it is updated the background to adapt the dynamic background.After object detection, it is extracted shape features by using the Hu's seven moment invariants of the training samples of the image data, which is used to train the back propagation neural network (BPNN) as input.Finally, we have done the intelligent identification process on the trained BPNN to recognize and distinguish the detected object whether it is human or pets.The algorithm can not only eliminate the effect of natural conditions, like wind, sunlight and lightning, but also automatically update the background when the illumination changes suddenly, or moving objects stop to move, or the background objects turn to move.The advantages of the proposed algorithm are accurately moving object detection, and the detection result is not affected by the body pose.The experimental results have shown that the proposed algorithm has good robustness and real-time performance in natural environment.
A model for the implementation of advanced foreign experience in the management of a pedagogical educational organization

Summarizing the experience of applying educational process management technologies in educational institutions in Finland, Spain, Estonia, and Germany has great potential. In studying this problem, methods of generalization, synthesis, concretization, and study of scientific literature and the work of scientific conferences on the topic, analysis of many years of management experience were used. The key achievements of the study are (integrative, problematic) towards exclusive education, predicting the difficulties faced by teachers from different countries, argumentation in favor of developing a democratic and social learning culture, choosing the most effective model for teaching internships using a variable component. The practices of effective university management deserve special attention: coaching, mentoring, management consulting, secondment, storritelling. The effectiveness of the application of technologies for building the management of educational processes in Finland, Spain, Estonia, and Germany in a university in the Moscow region is proved.
Application of Geomembrane on the Dam of Concrete Face in a Certain Hydropower Station Project

A certain hydropower station is a concrete face rockfill dam, with the dam height of 219 m. Because of various reasons, Composite geomembrane was added on the concrete face below the elevation of 382 m. A combined impermeable system composed of composite geomememes and concrete panels is formed. This paper introduces the impermeable scheme of composite geomemmembrane, the impermeable silo design, the design of cross joint, the laying and fixing of geomemmembrane and the sealing and welding of geomemmembrane as well as its quality control and quality test and so on. The above achievements have accumulated experience for the application of composite geomememes in the anti-seepage technology of high dam.
Facial Inpainting Using Generative Adversarial Network with Feature Reconstruction and Landmark Loss to Preserve Spatial Consistency in Unaligned Face Images

Facial inpainting is a process to reconstruct some missing or damaged pixels in the facial image. The reconstructed pixels should still be realistic, so the observer could not differentiate between the reconstructed pixels and the original one. However, there are a few problems that may arise when the inpainting algorithm has been done. There was an inconsistency between adjacent pixels when done on an unaligned face image, which caused a failure to reconstruct. We propose an improvement method in facial inpainting using Generative Adversarial Network (GAN) with additional loss using pre-trained network VGG-Net and face landmark. The feature reconstruction loss will help to preserve deep-feature on an image, while the landmark will increase the result’s perceptual quality. The training process has been done using a curriculum learning scenario. Qualitative results show that our inpainting method can reconstruct the missing area on unaligned face images. From the quantitative results, our proposed method achieves the average score of 21.528 and 0.665, while the maximum score of 29.922 and 0.908 on PSNR (Peak Signal to Noise Ratio) and SSIM (Structure Similarity Index Measure) metrics, respectively.
Features Of Communicative Culture Of Modern Russian Students

Information revolution is characterized by the explosive development of communications.Since modern society is evaluated as a knowledge society, the use of new information and communication capabilities is especially relevant.Communicative culture is formed from the very birth of a person.Special requirements are imposed on the communicative culture of specialists, which defines the tasks of close attention to the process of the formation of a communicative culture in higher education.People who have not only an education that meets social needs, but also relevant communication skills have professional and social success.In the context of the risk space expansion, such communication skills should cover both the professional sphere and the sphere of socio-political interactions.This dictates the need to include in the process of the formation of a student's communicative culture actions that involve the development of their political culture.In the periods of dramatic social changes, they help young people not only to solve vital issues, but also to prepare them for real life, including through the development of communication skills.This practice is considered in the article on the example of one of the oldest Russian universities -Moscow Automobile and Road Construction State Technical University (MARCST), in which the formation of the student communicative culture is as close as possible to university specialization, reflecting the policy of satisfying the needs of a person and state economy in a high-quality, economical and safe transport services.
Elementary School Students' Patriotic Education As A Form Factor Of Value-Semantics Competence

The article discusses patriotic education as a factor in the formation of the value-semantic competence of younger students.The study is based on an analysis of scientific psychological and pedagogical literature, as well as modern school practice.The authors suggest ways to solve the problem of the formation of value-semantic competence in the educational system of primary school.In elementary school, patriotic education, most of all, orientate a person toward developing, as a personality and socially valuable orientations of students, humanistic ideals of peace, kindness, and justice.These qualities are connected with the "value ideas of the student, his ability to see and understand the world around him, orient himself in him, be aware of his role and purpose, be able to choose goals and meanings for his actions and actions, make decisions".The study actualization is confirmed by the results of surveys conducted by the authors over the past years.These surveys were conducted using methods of sociological and pedagogical measurements, such as observation, questionnaires, interviewing, diagnosis, interviews, introspection, and self-esteem.An analysis of the results of the survey confirmed our assumptions about the following.Firstly, teachers have an urgent need for programs-algorithms of educational work with younger students to form their valuable worldviews and orientations, which together form a value-semantic competence.Secondly, there is a need to increase knowledge in issues of modern methods of patriotic education, which acts as the most important formation of value-semantic competence in younger students.
Structure Of Information Resource In The Context Of Digitalization

The article presents fragmentary results of the study of an information resource in the context of digitalization of all spheres of the life of society, which significantly changed its structure, as a means of the formation of information potential of society and each individual person.Through the example of the most active users of the network information resource, which are students, perceiving virtual space as the real environment of their habitat, the nature of the possible consequences is shown.The survey of the student audience was conducted during the period from 2014 to 2019.The total sample over the years was 340 peoplestudents of the faculty of journalism of Moscow State University.The results of the study were processed by appropriate statistical methods.With their help, the preferences of student audience in the choice and purpose of information resources in favor of network resources were identified; significant changes in the forms and methods of educational activities of students were substantiated.In addition, it was also shown that the increase in the share of network information resources that the younger generation addresses to a greater extent today is already qualitatively changing the content of the information potential of society.According to the the analysis of the data, the authors draw the conclusions about changing not only the forms and methods of educational activity preferred by students, but also their lifestyle.This creates the prerequisites for the possible erosion of our identity, the value foundations of Russian society.
Litigating Against the Artificially Intelligent Infringer

Many scholars have posited whether a computer possessing Artificial Intelligence (AI) could be considered an author as defined per the Copyright Act of 1976.What was once a thought experiment is now approaching reality.The focus has primarily been on whether an AI meets the requirements from a purely objective legal framework, or whether an AI could be an author based on the doctrines of incentives, independent creation, and creativity.However, another feature of authorship is the ability to be held liable if whether an AI or any non-human can be an author, then part of that determination should be to consider whether the being in question that created the work can be held liable as an infringer, and, as a logical extension, whether that being can in fact be sued.This involves considering issues from the theoretical, like civil procedure and remedies, to the practical, such as legal representation and discovery.How is an AI served with a lawsuit?What AI even bound by our laws?This morass of legal headaches goes beyond any doctrinal issues regarding authorship and provides ample reason to keep legal authorship in the hands of humans or entities controlled by humans. 1
PROVIDING RESEARCH DATA MANAGEMENT SERVICES AND PRACTICES AT PDDI-LIPI: PREPAREDNESS, ROLES, CHALLENGES, AND TRAINING

This study aims to analyse the implementation of RDM at PDDI-LIPI and to assess its staff’s understanding about RDM services. This article also discusses the challenges and obstacles PDDI faces in providing RDM services. The data was collected via an online survey from 28 July to 7 August 2020. The survey consisted of 35 questions and was shared with 36 respondents via social media. The results identified categories such as research data management services, data management planning services, data archiving services, funding, and staff competency and training needs. In addition, this article also discusses the approach and assessment of RDM services, challenges in providing RDM services, and plans for further developing RDM services at PDDI-LIPI. The results showed that the PDDI staff's understanding of RDM services is adequate. As a new service, the implementation of RDM at PDDI-LIPI continues to develop toward optimisation. RIN is a platform used by PDDI to support this goal. The three biggest obstacles faced by PDDI-LIPI in developing RDM services are limited human resources, competence and budget. Various trainings related to RDM, both sending staff off campus and inviting trainers to campus, were carried out by PDDI to overcome these obstacles. It is recommended to conduct further research on the mapping and upskilling of staff in charge of RDM services.
Verified secure compilation for mixed-sensitivity concurrent programs

Abstract Proving only over source code that programs do not leak sensitive data leaves a gap between reasoning and reality that can only be filled by accounting for the behaviour of the compiler. Furthermore, software does not always have the luxury of limiting itself to single-threaded computation with resources statically dedicated to each user to ensure the confidentiality of their data. This results in mixed-sensitivity concurrent programs , which might reuse memory shared between their threads to hold data of different sensitivity levels at different times; for such programs, a compiler must preserve the value-dependent coordination of such mixed-sensitivity reuse despite the impact of concurrency . Here we demonstrate, using Isabelle/HOL, that it is feasible to verify that a compiler preserves noninterference , the strictest kind of confidentiality property, for mixed-sensitivity concurrent programs. First, we present notions of refinement that preserve a concurrent value-dependent notion of noninterference that we have designed to support such programs. As proving noninterference-preserving refinement can be considerably more complex than the standard refinements typically used to verify semantics-preserving compilation, our notions include a decomposition principle that separates the semantics preservation from security preservation concerns. Second, we demonstrate that these refinement notions are applicable to verified secure compilation, by exercising them on a single-pass compiler for mixed-sensitivity concurrent programs that synchronise using mutex locks, from a generic imperative language to a generic RISC-style assembly language. Finally, we execute our compiler on a non-trivial mixed-sensitivity concurrent program modelling a real-world use case, thus preserving its source-level noninterference properties down to an assembly-level model automatically. All results are formalised and proved in the Isabelle/HOL interactive proof assistant. Our work paves the way for more fully featured compilers to offer verified secure compilation support to developers of multithreaded software that must handle data of multiple sensitivity levels.
Hierarchical Rendering System Based on Viewpoint Prediction in Virtual Reality

Virtual reality (VR) systems use multi-modal interfaces to explore three-dimensional virtual worlds. During exploration, the user may look at different objects of interest or in different directions. The field of view of human vision is 135\(^{\circ }\times 160^{\circ }\), but the one requiring the highest resolution is only in 1.5\(^{\circ }\times 2^{\circ }\). It is estimated that in modern VR, only 4\(\%\) of the pixel resources of the head-mounted display are mapped to the visual center. Therefore, allocating more computing resources to the visual center and allocating fewer viewpoint prediction rendering techniques elsewhere can greatly speed up the rendering of the scene, especially for VR devices equipped with eye trackers. However, eye trackers as additional equipment may be relatively expensive and be harder to use, at the same time, there is considerable work to be done in the development of eye trackers and their integration with commercial head-mounted equipment. Therefore, this article uses an eye-head coordination model combined with the saliencey of the scene to predict the gaze position, and then uses a hybrid method of Level of Detail (LOD) and grid degeneration to reduce rendering time as much as possible without losing the perceived details and required calculations.
Winnie’s personality in Natalie Babbit’s tuck everlasting a scientific publication

This research is entitled” Winnie’s Personality In Natalie Babbit’s Tuck Everlasting.” The object of this study is to see the personalities of the character in the novel. This research is based on the awareness psychological approach to the type study and laws of psychology are applied to literary works. In this research, the researcher applied psychological approach and Individual psychological theory. Through the objective approach the researcher see the personalities of the character in the novel. The method of the research is descriptive qualitative method. The main data are taken from words, phrases, and sentences of the novel. The supporting data are taken from some books, articles, and internet. The results of this study are clearly explained as follows. The researcher found six personalities in the novel: fictional finalism, social interest, inferiority feeling, striving superiority, style of life, and creative power. From the six analysis of Adler’s individual psychological is connected to each other and builds a unity from the main character’s personality.
Inovasi Sistem Robotika Pada Perpustakaan

The challenge of libraries in the current millennium is how the library can make it easier for visitors to find books in a short time. At this time the development of new technology is needed, especially in the 21st century all work will be replaced with a robot. this robot technology that began today was developed by several parties for the advancement of human civilization. In this journal, we will discuss how robot technology works in the scope of the library and how robots can work as instructed. The results showed, there are several world libraries that have used robotic technology that makes it easy for library visitors to find, retrieve and return books on the library shelves.
Incremental Canonical Correlation Analysis

Canonical correlation analysis (CCA) is a kind of a simple yet effective multiview feature learning technique. In general, it learns separate subspaces for two views by maximizing their correlations. However, there still exist two restrictions to limit its applicability for large-scale datasets, such as videos: (1) sufficiently large memory requirements and (2) high-computation complexity for matrix inverse. To address these issues, we propose an incremental canonical correlation analysis (ICCA), which maintains in an adaptive manner a constant memory storage for both the mean and covariance matrices. More importantly, to avoid matrix inverse, we save overhead time by using sequential singular value decomposition (SVD), which is still efficient in case when the number of samples is sufficiently few. Driven by visual tracking, which tracks a specific target in a video sequence, we readily apply the proposed ICCA for this task through some essential modifications to evaluate its efficacy. Extensive experiments on several video sequences show the superiority of ICCA when compared to several classical trackers.
Ideas Of Education In The Space Of Cultural Meanings

Nowadays, the key task associated with the development and renewal of education is the transformation of the living space in which the younger generation is developing and the rest of are living, motivating the educational space that determines the process of self-realization of each person and the development of the integrity of personal being.The orientation toward a personality, as a social value, is the goal of transforming the cultural paradigm of modern Russian education and a real way of reviving the once-lost spiritual integrity of Russian education.In this regard, philosophical discourses between the various semantic components of culture, at one time, contrary to the nature of evolution, appearing as the motherly bosom of Homo Sapiens species it is necessary to rethink the conceptual frameworks of the basic universals of culture, which have rooted into the paradigmatic foundations of rationality of classical type.The phenomenon of educational activity in the fields of cultural meanings of being, goals and aspirations is among these universals.The priority of the social value of education is reasoned by the fact that it contributes to the improvement of the social structure of society, its effective activities and ensures the stable development of the whole society.At the same time, the nature of the education system is determined by the corresponding type of culture, changing together with it.Therefore, it is the harmonious interaction of culture and education that ensures the production, transfer, assimilation and consumption of knowledge and values.