Reviewerly/exHarmony huggingface dataset:
Frequency-Aware SVD Decomposition and its Application to Color Magnification and Motion Denoising

Videos are full of dynamic changes along both the spatial and temporal dimensions. Large, jerky short-term motions make it difficult to extract significant changes from videos such as subtle color changes and long-term motions occurring in time-lapse sequences. In this paper, we introduce two singular value decomposition (SVD)-based video decomposition schemes to clearly reveal such changes. The first scheme involves enhancing the visual characteristics of small subtle color changes in the presence of a wide variety of motion patterns by magnifying their pixel intensities. The second scheme removes short-term motions that visually distract attention from the underlying content of video sequences such as time-lapse videos, snowing scene, and maritime surveillance. Both schemes involve the decomposition of videos into spatiotemporal slices in which each slice is further decomposed into several singular components. The low-rank components that primarily represent background and color intensity information are then temporally processed to magnify the magnitude of the signal at the subtle color change target frequency. At the same time, an approach similar to that used in denoising time-lapse sequences is applied to temporally filter the singular components representing sparse information, thereby removing jittery short-term motions while preserving long-term motions, which are represented by both low-rank and unfiltered sparse components. We demonstrate promising color magnification and motion denoising results that can be obtained much faster than results estimated using state-of-the-art techniques.
Research and analysis of implementations of the NIST PQC competition second round candidates focused on the Xilinx FPGA family

Today, the question of the stability of modern existing cryptographic mechanisms to quantum algorithms of cryptanalysis in particular and quantum computers in general is quite acute. This issue is actively discussed at the international level. Therefore, to solve it, NIST USA has decided to organize and is currently holding a competition for candidates for post-quantum cryptographic algorithms NIST PQC. The result of the competition should be the adoption of various types of cryptographic algorithms for standardization, namely, asymmetric encryption, key encapsulation and electronic signature (at least one algorithm of each type). 82 algorithms were submitted by the start of the competition for the standardization process. Based on the minimum eligibility criteria defined by NIST, 69 algorithms were considered for the 1st round. Given several parameters, namely, security, cost, performance, implementation characteristics, etc., 43 and 11 algorithms were excluded at the end of the 1st and 2nd rounds, respectively, and the other 15 algorithms were left for participation in the 3rd round. The algorithms left in the 2nd round can be divided into 5 different categories depending on their mathematical basis: those based on the isogeny of elliptic curves, those based on algebraic lattices, those based on mathematical code, those based on multivariate transformations and those based on hash functions. Security is the main evaluation criterion that determines competition in the NIST competition, and it is clear that candidates' software implementations are focused mainly on it. However, it is extremely important that the algorithm has an effective hardware implementation. Timely identification of hardware inefficiencies will help focus the cryptographic community efforts on more promising candidates, potentially saving a large amount of time that can be spent on cryptanalysis. This paper discusses and compares the FPGAs of Xilinx family. Data on the implementation of the candidates of the 2nd round in the process of standardization of post-quantum cryptography NIST, which are focused on the FPGA of the Xilinx family, are presented and compared.
Use of N-List E-Resources by the Students of the Arts and Science Colleges in Kanyakumari District, Tamil Nadu

National Library and Information Services Infrastructure for Scholarly Content (N-LIST) Project being jointly executed by the e-ShodhSindhu Consortium, INFLIBNET Centre and the INDEST-AICTE Consortium, IIT Delhi provides access to e-resources to students, researchers and faculty from colleges and other beneficiary institutions. This paper investigates the awareness and use pattern of N-List resources by the Students of the Arts and Science Colleges in Kanyakumari District, Tamil Nadu, India. The sample of the study consists of 100 students – 80 females and 20 males -- of different disciplines. The study found that though 70 percent of the students are familiar with N-List e-resources and they are used for various purposes, the problems encountered by them like the difficulty to find relevant information, slow speed in accessing information, server problems, lack of ICT knowledge and limited access to computer systems warrants immediate remedial measures.
O49 The use of augmented reality for surgical guidance: an assessment of the human error

Abstract Introduction Microsoft HoloLens® is an augmented-reality headset which is increasingly used for surgical guidance. This headset allows the overlay of patient-specific virtual models obtained from medical images onto the patient’s body surface using automatic marker-based alignment. This can guide surgeons during certain surgical tasks, e.g. determining biopsy needle entry points. This study aims to measure the human error in the localisation of virtual models with the headset and discuss its surgical implications. Method 59 adults were recruited between the ages of 20–59 years. A 12 cm2 digital marker was displayed on a monitor in 9 different positions, one at a time. This was repeated 3 times, resulting in 27 markers shown to each participant. Once a marker was detected by the headset’s camera, a virtual hexagon was rendered on the headset’s transparent lenses. Participants were tasked to click on the hexagon’s vertices using a mouse. The clicks’ coordinates were recorded by the system and compared to the predicted coordinates. This allowed for the calculation of the vertex localisation error. Result The mean vertex localisation error was found to be 5.19 mm (±3.56) with a range from 0.08 to 29.77 mm. There was a significant difference between marker positions as determined by a one-way ANOVA (P &amp;lt; 0.001). Conclusion This study suggests that the error in the localisation of virtual models depends on the position of the markers relative to the user wearing the headset. Further research is required to explore whether training can reduce the human error with this headset. Take-home Message The range of the human error in localising virtual models via the Microsoft HoloLens® headset is large and may be dependent on the position of the marker relative to the user of the headset. Further research is needed to investigate whether training with the headset can improve human performance.
Assessment of Democracy in Library and Information Activities

The repertoire of library and information resources, the organization of information services and the acquisition of sources in the implementation of library policy are based on historical traditions. In the digital space and in the globalizing world, this process has changed both its form and its essence.&#x0D; It is known that throughout history, information resources have been censored and restricted. While these censorship restrictions are sometimes considered severe and sometimes insignificant, this problem arises and raises questions during the "dissemination" and "promotion" of information.&#x0D; The issue of limiting information and prohibiting its dissemination in the global information space remains relevant today. These restrictions can, at the request of a number of states, limit the scope of religious beliefs, as well as court decisions. Local, regional representations can also meet a number of restrictive requirements. I think that when it comes to free and democratic circulation of information products in the information space, it is necessary to define a mathematical model of how democratic it is. This article can be seen as a summary of the existing experience in this area.
Implementation of the General Administrative Management Information System at Victory University of Sorong

Management Information System is a comprehensive, coordinated and rationally integrated set of information subsystems capable of transforming data into information through a series of ways to increase productivity in accordance with the style and nature of managers on the basis of established data quality criteria. Technological developments require every institution, both government and private, to provide services to be able to serve effectively and efficiently. Management is defined as a typical process consisting of planning, organizing, implementing and monitoring carried out to determine and attempt to achieve goals by utilizing human resources and other resources. In the work process of Victory Sorong University, the General Administration Bureau (ADUM) carries out administrative management processes still manually, this can be seen from the survey results that the data management process is carried out in manual books. This is a major issue that needs attention. Manual conditions can support data loss due to several factors. The importance of the role and function of general administration management as the main task of a government agency, private or organization, so it is necessary to implement an integrated information system using PHP and MySQL database.
Big Data: A Survey Paper on MapReduce Big Data

Abstract Hadoop MapReduce is processed for analysis large volume of data through multiple nodes in parallel. However, MapReduce has two function Map and Reduce, large data is stored through HDFS. Big Data has gained much attention from the academia and the IT industry. In the digital and computing world, information is generated and collected at a rate that rapidly exceeds the boundary range. Currently, over This survey intends to assist the database and open source communities in understanding various technical aspects of the MapReduce framework. In this survey, we characterize the MapReduce framework and discuss its inherent pros and cons. We then initiate the development strategies which were announced in the recent literature. We also consider the open points and summons which were raised on parallel data analysis with MapReduce
Design and Validation of a System to Assign Students to Projects Based on Student Preferences

After years of experience of serving the peer teacher and a graduate teaching assistant in first-year-engineering courses, he is now a research assistant at CATME research group studying how cultural diversity impacts teamwork and how to help students improve intercultural competency and teamwork competency by interventions, counseling, pedagogy, and tool selection (such as how to use CATME Team-Maker to form
Correction to: Thai Handwritten Recognition on BEST2019 Datasets Using Deep Learning

The word ‘encoded’ has been updated to ‘decoded’ in section 4.3 of the chapter.
Correction to: Scene Walk: a non‑photorealistic viewing tool for first‑person video

A correction to this paper has been published: https://doi.org/10.1007/s10055-021-00545-y
RANCANG BANGUN APLIKASI INVENTORY METODE FIFO DAN LAPORAN STOK BARANG PADA KPRI “MANFAAT” LEMBAGA PENJAMIN MUTU PENDIDIKAN (LPMP) JAWA TENGAH MENGGUNAKAN MICROSOFT VISUAL BASIC.NET

&lt;p&gt;The purpose of this paper is to build an inventory information system&lt;br /&gt;application program using the FIFO method and the Stock Report using Microsoft&lt;br /&gt;Visual Basic. NET to reduce errors in calculations and inventory recording errors&lt;br /&gt;whose operations can be easily understood by users. Data collection methods used are interview methods, observation and literature study. The writing method used in this research is the description method which explains the general profile of the Central Java Education Quality Assurance Agency (LPMP) KPRI and the exposition method to explain the results of the system design being implemented. It is hoped that the FIFO method of inventory system design and inventory reports will minimize the problems encountered so that it can produce reports and display accurate data according to actual conditions.For the preparation of the FIFO method of inventory information system software and inventory reports, there are several stages: system analysis, process analysis, conceptual design, detailed design, implementation and conversion. Reports generated include the FIFO method inventory of goods reports, goods inward reports, goods outgoing reports and goods returns reports.&lt;/p&gt;
Augmented reality application on the tourism orientation sign digital system at the 'Bawah Langit' museum

One of the most visited tourism icons in Makassar is the Losari Beach Pavilion which provides many choices ranging from beautiful sunsets, typical banana “epe” cuisine, floating mosques, and rows of statues of heroes and icons of Makassar City which are spread over four platforms, namely Makassar Pavilion, Bugis Pavilion, Mandar and Toraja which is commonly called the Museum Under the Sky. In supporting the attraction, it is necessary to be equipped with an accurate explanation of the statues in the attraction. In the new normal that limits interaction with other people, digital and virtual explanations will be one solution to provide attractive and up-to-date information. This study aims to create a Digital Tourism Orientation Sign System, which is an information system that provides accurate explanations and descriptions of the hero statues in the Underground Sky Museum. With this application, the Losari Pavilion is one of the futuristic tourist attractions with local wisdom. This application has been tested using Alpha testing which includes distance testing with test results a minimum distance of 10 cm and a maximum distance of 1 m marker will be detected; light testing with object test results will appear from a room brightness level greater than 10 Lux.
Pattern Recognition of Human Face With Photos Using KNN Algorithm

A Facial photos in today's era are widely used as a media for identity recognition, but not many computer applications provide identity recognition of face photos that contain the names of the photo owners, to make an a prototype the sistems use a KNN algorithm, this algorithm work is by classifying the closest object and grouping it on predetermined objects. In this paper, the object is a face photo where the KNN algorithm will be used to classify the facial patterns contained in the photo. The stages in pattern recognition, starting from preprocessing, feature extraction and then classification. In addition to using the KNN algorithm for data classification, photo of faces will be detected and stored the T-Zone area and frontal face. In this paper 11 images used for data testing and the accuracy will be calculated using a recognition algorithm. The results of this paper are a facial recognition program using python that can display faces with a validity level of 82%.
Verbal Music as an Attempt to Enter the Child’s Sound Space: Theory and Practice

The article researches the pedagogical potential of verbal music actualized in music classes. The authors focus their attention on the history of the question, suggesting to supplement the classification presented by S.P. Scher with such a type of interaction between words and music as words spoken during music (melo-recitation). While examining verbal music in the context of the art of music, the authors concentrate on Camille Saint-Saens’ composition “The Swan” from the suite “The Carnival of Animals,” suggesting not only variants of verbalization of the instrumental music itself by the example of Lev Druskin’s poem “The Swan Struggles with Human Anguish…”, Dmitri Bykov’s “The Swan and Archpriest Andrei Tkachev’s prose, but also the an attempt of verbalizing the plastic intonating of Saint-Saens’ piece realized in the work of Anna Pavlova, Galina Ulanova and Maya Plisetskaya. In addition, the authors bring into scholarly use the verbalization of music presented in Evgeny Vodolazkin’s novel “Brisbane.” Proposing a set of assignments aimed at the actualization of verbal music as a unique opportunity of re-expressing musical content into the spoken word presenting itself as a unit of speech of the studying youth, the authors turn to Russian scholarly literature, as well as to that of other countries. According to the authors, the inclusion of the phenomenon of verbal music into lessons provides a maximal problematization of the studied material, helps maintain the students’ interest in their music studies by stimulating children’s creativity, and also sets up the resultative qualities of communication of all the participants of the pedagogical process, enabling the musicians in their realization of the immutability of the following fact: music can be and must be talked about!
EKSISTENSI PENGELOLAAN TATA USAHA PADA LEMBAGA TINGGI SWASTA

The academic management system at Tertiary Education Institutions is the core of the implementation of Higher Education activities that regulate all matters including the effectiveness of implementation, information, service quality, and efficient use of resources. Management strategy is a process or series of decision-making activities that are fundamental and comprehensive, accompanied by determining how to carry it out, which is made by the leadership and implemented by all levels in an organization to achieve goals. In the implementation of Private Higher Education (PTS) it is imperative that the quality of academic services be carried out in a directed, disciplined manner, with total quality, and ensures the realization of the quality of higher education properly. So far, many higher education institutions, especially private universities, have always put aside academic services, even only as a symbol for academic services within the institution. In fact, when viewed from various perspectives it is common knowledge that effective academic services will have a positive effect on the quality of the institution. Therefore it is very important to determine a strategy that supports the achievement of goals, because strategic is a large-scale planning (called strategic planning) that is oriented towards a far-reaching future (called a vision), and is determined as the decision of the highest leadership (decisions that are fundamental and principle), in order to enable the organization to interact effectively (called a mission), in an effort to produce something (operational planning to produce goods and / or services and services) of quality, directed at optimizing the achievement of goals (called strategic objectives) and various objectives (operational objectives). ) organization (Nawawi, 2003). Keywords: Existence Management, Private College
Upaya Meningkatkan Hasil Belajar Siswa Materi Keliling Bangun Datar Menggunakan Model Pembelajaran Pair Check

This study aims to describe the process of implementing the pair check learning model and to describe the improvement of student learning outcomes in class IIIB SD No. 8 Jimbaran on the material around the flat wake. This research is a classroom action research with the research subjects of class IIIB elementary school students. 8 Jimbaran, totaling 23 students. This research was carried out in 2 cycles and each cycle consisted of planning, implementation, observation, and reflection stages. The data obtained in the form of student learning outcomes, student activity and teacher activity. The results of this study are the percentage of mastery learning outcomes has increased from 39.13% to 86.95%, while the results of observations of teacher activities obtained a percentage of 71.9%. The conclusions of this study namely the pair check learning model can significantly improve student learning outcomes that is equal to 86.95%.
Formation of creative independence in older preschool children in the process of cognitive activity in mathematics

The article is devoted to the problem of formation of creative independence of older preschool age children in the process of cognitive activity in mathematics in the educational process in preschool institution.In particular, it describes
An Analysis of Writing Tasks in “Pathway to English” Textbook for Twelfth Grade of SMAN 5 Kota Jambi

This research was aimed to find out whether the writing task in “Pathway to English” textbook appropriate with the criteria of writing task as suggested by Paul Nation, in Nation’s theory. There are four kinds of tasks that suggested. Each of tasks has the following type : (1) Experienced Task (linked skills, draw and write, ten perfect sentences, partial writing, setting your own questions), (2) Shared Task (reproduction exercise/dicto-gloss, blackboard composition, group-class composition, writing with a secretary), (3) Guided Task (translation, picture composition, delayed copying, writing with grammar help, answer the questions, correction, complete the sentences, back writing, put the words in order, follow the model, what is it?, change the sentences, join the sentences, writing by steps, marking guided writing), (4) Independent Task. The method of this research was descriptive qualitative. To analyzed the data, the researcher used qualitative content analysis method. Research findings there are 54 types of writing task: 2 Experience task (1 Partial Writing, 1 Setting your own question), 1 Shared task ( 5 group class composition), 8 Guided task (1 translation, 7 look and write, 1 picture composition, 7 writing with grammar help, 10 answer the question, 4 correction, 11 complete the sentences, 2 put the words in order, 1 Independent task (6 independent). The result of this research was that there are criteria are found that match with the criteria as suggested by Paul Nation, this proves that this book is appropriate with the criteria as suggested by Paul Nation.Key Words: Writing Task, English Textbook, Task Analysis
Hierarchical guided network for low‐light image enhancement

Due to insufficient illumination in low-light conditions, the brightness and contrast of the captured images are low, which affect the processing of other computer vision tasks. Low-light enhancement is a challenging task that requires simultaneous processing of colour, brightness, contrast, artefacts and noise. To solve this problem, the authors apply the deep residual network to the low-light enhancement task, and propose a hierarchical guided low-light enhancement network. The key of this method is recombined hierarchical guided features through the feature aggregation module to realize low-light enhancement. The network is based on the U-Net network, and then hierarchically guided with the input pyramid branch in the encoding and decoding network. The input pyramid structure realizes multi-level receptive fields and generates a hierarchical representation. The encoding and decoding structure concatenates the hierarchical features of the input pyramid and generates a set of hierarchical features. Finally, the feature aggregation module is used to fuse different features to achieve low-light enhancement tasks. The effectiveness of the components is proved through ablation experiments. In addition, the authors are also evaluating on different data sets, and the experimental results show that the method proposed is superior to other methods in subjective and objective evaluation.