Reviewerly/exHarmony huggingface dataset:
An efficient and flexible inference system for serving heterogeneous ensembles of deep neural networks

Ensembles of Deep Neural Networks (DNNs) have achieved qualitative predictions but they are computing and memory intensive. Therefore, the demand is growing to make them answer a heavy workload of requests with available computational resources. Unlike recent initiatives on inference servers and inference frameworks, which focus on the prediction of single DNNs, we propose a new software layer to serve with flexibility and efficiency ensembles of DNNs. Our inference system is designed with several technical innovations. First, we propose a novel procedure to find a good allocation matrix between devices (CPUs or GPUs) and DNN instances. It runs successively a worst-fit to allocate DNNs into the memory devices and a greedy algorithm to optimize allocation settings and speed up the ensemble. Second, we design the inference system based on multiple processes to run asynchronously: batching, prediction, and the combination rule with an efficient internal communication scheme to avoid overhead. Experiments show the flexibility and efficiency under extreme scenarios: It successes to serve an ensemble of 12 heavy DNNs into 4 GPUs and at the opposite, one single DNN multi-threaded into 16 GPUs. It also outperforms the simple baseline consisting of optimizing the batch size of DNNs by a speedup up to 2.7X on the image classification task.
Multiple Image Based Dual Steganography Using Arnold Transform and Block Code Encoding

Security plays a crucial role in the field of Social media network. Securing the data become one among the largest challenges in the present scenario. Whenever we expect concerning the cyber security, the primary issue that involves our mind is ‘cyber crimes’ that are increasing vastly day by day. Embedding secret message into the image (Steganography) is associated with art and science of secure data communication wherever the key information or confidential information is hidden in host file. It's employed incompletely different helpful applications like secure electronic communication, health care and military. Confidential information’s are unremarkably keep in digital media and transmitted via network cause of rapid growth of internet. In this paper, steganography techniques which might be used to safeguard the information from intruders. Here, Steganographic technique is used to hide multiple secret images into a single 24-bit cover image using Least Significant Bit (LSB) and dual steganography method. Multiple secret images are scrambled and encoded before hiding into cover image using Arnold Transform and Block Code Encoding. The Proposed technique is Block Code Encoding to convert Secret message to binary and bit pairs to form safer information. The main goals of proposed work offers security and high limit based steganography plan of concealing a massive size secret image into a bit size cover image, to enhance security using dual steganography, image quality and to reduce error.
O tempero que faltava na educação cibernética na Nigéria: a perspectiva da segurança nacional

Since the advent of the internet, cybercrime has become a recurring decimal in Nigeria. Many nations are battling to protect their cyber space from criminals, for national security and integration. As a result of this, efforts are being made by governments to protect their citizens and image from online crime. Some of these efforts include cybersecurity education which entails awareness raising programmes to the general public in order to sensitize them about cybercrime. Several awareness raising programmes have been conducted to universities and other educational institutions and public and private institutions. However, it was observed that such programmes have never been conducted to the clergy who are fundamental agent, perhaps one of the most important spice that tends to create influence in the life of most Nigerians. It is against this backdrop that this research seek to utilize quantitative data to reveal how the clergy in Nigeria have been left out in the propagation of cybersecurity awareness among the general public. The objective of the study was to analyze the role and influence the clergy have on their congregation and suggest ways such influence can be utilized to improve cybersecurity awareness in Nigeria for enhanced national security in the country.
A Low Illumination Images Enhancement Method Based on Conditional Generative Adversarial Networks with Self Attention Mechanism

Aiming at the problems of low signal-to-noise ratio, low resolution and low illumination in low illumination environment, this paper proposes a low illumination images enhancement method based on generative adversarial networks with self attention mechanism. Firstly, the DenseNet framework is used to build the generator network, and the self attention mechanism module and constraint conditions are introduced. At the same time, the average discriminator is used to improve the traditional binary discriminator. Secondly, the low illumination images is introduced into the generator network to generate the illumination enhancement images, and then the discriminator network is used to supervise the enhancement effect of the generator on the low illumination images. Through the game between the generator and the discriminator, the network weight is continuously optimized, and finally the generator has better enhancement effect on the low illumination images. Experimental results show that, compared with the existing mainstream methods, this method not only has obvious advantages in brightness enhancement and clarity restoration of low illumination images, but also has significant advantages in objective evaluation indexes of images quality such as peak signal-to-noise ratio and structural similarity.
The ethnomethodology of metapragmatics in everyday interaction

This discussion note is inspired by, and in turn expands on, a few themes and threads laid out in Judith Bridges’s “Explaining ‘-splain’ in digital discourse”. The note stresses the focus and contribution linguistic anthropologists have made to understanding various types of indexical meaning-making practices, and the order of indexicality. This discussion note also briefly details the affordances of the word “explain” and the suffix “x-plain”, which may account for why this suffix, and not others, has come to be used so frequently.
APPLICATION OF DIDACTIC GAMES IN THE SUBJECT FIELD OF MILITARY INSTITUTIONS PEDAGOGY

More and more obvious is the need to change the teaching methods of Military Pedagogy. The training methods used are already inconsistent with the changing situation in the troops, making a request for the active pedagogical activity of future officers. The use of didactic games in military institutes is of particular importance during the pedagogical training of cadets of military institutes of the national guard forces of the Russian Federation. In the course of my research, I theoretically studied adapted approaches to the use of didactic games from other branches of pedagogy to the branch of military pedagogy. It has been established that the implementation of the game method in the process of pedagogical training of cadets requires the observance of fundamental conditions: determining the purpose of use, implementation algorithm, imitation of professional activity. The game method makes it possible to build the ability for independent decision-making by cadets, increase self-esteem, as well as professional motivation. The use of didactic games in the subject area of military pedagogy makes it possible to detect a complex of both positive and negative effects from the use of the game method. A proper understanding of the basic structure of each didactic method in the field of military pedagogy is facilitated by knowledge of its features. This makes it possible to determine the basic conditions for their use in the process of training cadets and their place in the pedagogical system of the military educational organization of higher education.
Anomaly Recognition Algorithm for Human Multipose Motion Behavior Using Generative Adversarial Network

Human multipose motion behavior is similar; there are many actions. However, it is difficult to recognize abnormal behavior. The existing human motion behavior anomaly recognition methods have the problems of low accuracy and being time-consuming. Therefore, an anomaly recognition method of human multipose motion behavior using Generative Adversarial Network (GAN) is proposed. The Gauss model is used to segment the human multipose motion behavior image, and the image foreground of the segmentation result is the human motion target detection result. The Shi-Tomasi algorithm is selected to extract contour feature points from human motion object detection results. The extracted contour features are set as hidden space random variables and input into the GAN. The GAN uses the generator and discriminator to recognize the multipose human motion behavior and determine whether the multipose human motion behavior is abnormal. The results show that the proposed algorithm can accurately recognize abnormal human multipose motion behavior, the recognition accuracy is higher than 99%, and the average recognition time is less than 200 ms. The shadow removal effect of the foreground image obtained by the proposed algorithm can realize the accurate recognition of human multipose motion behavior abnormalities and provide a reliable basis for research in related fields.
Computerized Answer Grading

Looking at the current scenario of teaching and schooling, everything is shifting into online mood. Close are the days where not just the MCQ’s and one-word answers will be auto-graded but the entire paper will be feed into a system and graded automatically lessening the burden of the teachers. The purpose of this project is used to evasion the grading system for the person who is grading the candidate as well as the candidate who us taking the test. This system will help the candidate to give expressive and well explained answers on the other hand if the person asking the question is not satisfied by the explanation, they can ask the candidate to explain a bit more or structure the answer better. The grading of the answer will automatically happen by the system hence reducing the burden of going through the entire answer. Our greater objective is to create a system which automatically grades a paper consisting of all types of questions and answers, be it long essays, short answers or one word answers.
Hybrid Domain Convolutional Neural Network for Memory Efficient Training

For many popular Convolutional Neural Networks (CNNs), memory has become one of the major constraints for their efficient training and inference on edge devices. Recently, it is shown that the bottleneck lies in the feature maps generated by convolutional layers. In this work, we propose a hybrid domain Convolutional Neural Network (HyNet) to reduce the memory footprint. Specifically, HyNet prunes the filters in the spatial domain and sparsifies the feature maps in the frequency domain. HyNet also introduces a specifically designed activation function in the frequency domain to preserve the sparsity of the feature maps while effectively strengthening training convergence. We evaluate the performance of HyNet by testing on three state-of-the-art networks (VGG, DenseNet, and ResNet) on several competitive image classification benchmarks (CIFAR-10, and ImageNet). We also compare HyNet with several memory-efficient training approaches. Overall, HyNet can reduce memory consumption by about \(\sim \)50% without significant accuracy loss.
PENGEMBANGAN MEDIA PEMBELAJARAN MENGGUNAKKAN SOFTWARE MINDJET MINDMANAGER PADA AKUNTANSI DASAR SMK KELAS X AKL

The purpose of this study is to 1) determine the process of developing mind mapping media using mindjet mindmanager 2017 software for basic accounting subjects for Vocational High School class X AKL, 2) to be able to determine the feasibility level of mind mapping media made by researchers for class X AKL with basic accounting. as a subject, 3) to be able to find out the response to vocational students in class X AKL regarding the mind mapping media developed by researchers. The type in this research is the development with the 4D Thiagarajan model with four stages, namely the first stage of defining, the second stage of planning, the third stage of development and finally the stage of deployment. This development research uses review sheets and expert validation and student response questionnaires as research instruments. The learning media was tested on 20 class X AKL vocational students from SMK Ketintang Surabaya. Mind mapping learning media get criteria of "feasible" with a percentage of 79% of material experts and criteria of "very feasible" with a percentage of 87% of media experts. Meanwhile, the student response got the criteria of "very good" with a percentage of 95%. Based on the explanation above, it can be stated that mind mapping media is feasible to be used in learning basic accounting material.
Sensory-Motor Concepts and Metaphor in Usage

This paper explores the relation between metaphor and Sensory Motor concepts in language use.Sensory Motor concepts in language use are de ned as a number of semantic elds distinguished by WMatrix, comprising Sensory lexis and Motor lexis, including words under 'Sight' and 'Sound' as well as 'Moving, Coming, Going' and 'Pushing, Putting, Pulling'.The incidence of this lexis and its metaphorical use is examined in the VU Amsterdam Metaphor Corpus, a 190,000 word selection from BNC Baby annotated for metaphor.The relation between the selected semantic elds and metaphorical and non-metaphorical use reveals a substantial distinction between the metaphorical use of Sensory Motor lexis and all other lexis as well as between the metaphorical use of Sensory lexis and Motor lexis.Interactions with word class and with genre are also explored, indicating more speci c behavior of each of the various groups of lexis expressing the distinct concept categories.The paper concludes by suggesting that Sensory-Motor concepts may indeed play a special role in metaphorical language use, and that additional distinctions are needed to capture the four-way interaction between metaphor, word class, register and semantic eld.
MENINGKATKAN HASIL BELAJAR BAHASA INDONESIA SISWA MENGGUNAKAN MEDIA POWTOON DI KELAS IV SEKOLAH DASAR

Improving learning outcomes in the learning process is very important to prove achievement in the learning process, to improve learning outcomes we can use various ways, one of which is to improve Indonesian language learning outcomes by using Powton media. The method used in this research is quasi-experimental, using two groups posttest only which is part of quantitative research. This study using two groups posttest only presents a form of research where when determining the control group and the experimental group, the selection is done randomly (Prasetyo &amp; Jannah, 2011: 117). The results of this study areThe average obtained by the experimental group is already above the Minimum Completeness Criteria (KKM) of 70, with details of 7 students getting the highest score and 12 students getting standard scores, and 6 students getting scores below the KKM. Another thing for the control group is that the average grade obtained is still below the KKM score, with details of 3 students getting the highest score, 4 students getting standard scores, and 18 students getting scores below the KKM. From the results of this study, it can be concluded that the success of using this powtoon application as a learning medium for Indonesian language subjects on the character of the characters in the story can be seen from the average value of the class or experimental sample group which is above the average value of the KKM.&#x0D; Keywords:( Learning Outcomes, Powtoon Media, Indonesian Language)
ELT DURING COVID-19 PANDEMIC; PRACTICES AND CHALLENGES

The purpose of this study is to evaluate the practices and challenges of online learning or so called Learning From Home (LFH) in English Department during the even semester 2019/2020 academic year. The subject of this study are 8 lecturers of English Department at STKIP Al Hikmah. This study employed descriptive qualitative research design. The instrument used is daily online teaching monitoring and evaluation questionnaire. The result of this study is categorized into five aspects namely 1) online learning applications frequently used by the lecturers are WhatsApp, Google Classroom, Schoology, Quizizz, E-mail, Zoom Cloud Meeting, Email, and Youtube 2) online learning activities frequently conducted by the lecturers are uploading materials, discussion forum, conducting quizzes, uploading assigment,, and video conferences, 3) scheduled assignment submission rate, 4) students’ participation rate and 5) challenges and alternative solution proposed by the lecturers during the online learning.
Multi-objective based Cloud Task Scheduling Model with Improved Particle Swarm Optimization

Now-a-days, advanced technologies have emerged from the parallel, cluster, client-server, distributed, and grid computing paradigms.Cloud is one of the advanced technology paradigms that deliver services to users on demand by cost per usage over the internet.Nowadays, a number of cloud services have rapidly increased to facilitate the user requirements.The cloud is able to provide anything as a service over web networks from hardware to applications on demand.Due to the complex infrastructure of the cloud, it needs to manage resources efficiently, and constant monitoring is required from time to time.Task scheduling plays an integral role in improving cloud performance by reducing the number of resources used and efficiently allocating tasks to the requested resources.The paper's main idea attempts to assign and schedule the resources efficiently in the cloud environment by using proposed Multi-Objective based Hybrid Initialization of Particle Swarm Optimization (MOHIPSO) strategy by considering both sides of the cloud vendor and user.The proposed algorithm is a novel hybrid approach for initializing particles in PSO instead of random values.This strategy can obtain the minimum total task execution time for the benefit of the cloud user and maximum resource usage for the benefit of the cloud provider.The proposed strategy shows improvement over standard PSO and the other heuristic initialization of PSO approach to reduce the makespan, execution time, waiting time, and virtual machine imbalance parameters are considered for comparison results.
Automatic Bilingual Markup Transfer

We describe the task of bilingual markup transfer, which involves placing markup tags from a source sentence into a fixed target translation. This task arises in practice when a human translator generates the target translation without markup, and then the system infers the placement of markup tags. This task contrasts from previous work in which markup transfer is performed jointly with machine translation. We propose two novel metrics and evaluate several approaches based on unsupervised word alignments as well as a supervised neural sequence-to-sequence model. Our best approach achieves an average accuracy of 94.7% across six language pairs, indicating its potential usefulness for real-world localization tasks.
CONVOLUTIONAL PROPERTIES OF A NEURAL NETWORK BASED ON AUTOENCODERS

The convolutional properties of the autoencoding neural network for the object detection problem in the image are considered. Data sets in the form of two-dimensional images with three color channels were generated for training and testing. The images are generated based on a three-dimensional scene consisting of objects such as spheres, cubes, cylinders and “monkey” models. The time of network training on the data with different configurations and the result at the output of the neural network were estimated.
Monitoring Information System for Citizen Cash Contribution at Graha Sudirman Indramayu Housing Based on Web

The payment system in economic transactions is experiencing rapid progress along with the development of sophisticated technology. Graha Sudirman is a housing located in Indramayu Regency, West Java. In the cash dues section of residents in the Graha Sudirman Indramayu housing, cash dues collection is still done conventionally by way of the coordinator collecting each resident's house and recording it through a cash book. However, the cash contributions that are collected are not transparent in the data on expenditures or the remaining balance, so that residents do not know the income and disbursements of cash contributions paid every month. This application is designed and implemented using the PHP programming language with MySQL, it can be concluded that with the Citizen Cash Contribution Monitoring application using a codeigniter framework it can help admins recap cash dues, expenses, remaining balances and can help coordinators be able to streamline their time in collecting cash contributions because In this application the coordinator only needs to verify cash contribution payments made by residents by transfer and make it easier for residents to make cash contribution payments, provide criticism and suggestions for housing, find out financial data such as cash contribution reports, and expense reports.
THE ARCHIVE OF THE SOLOVETSKY MONASTERY IN THE SCIENTIFIC PATH OF THE PERM UNIVERSITY`S PROFESSOR BORIS D. GREKOV

The archive of the Solovetsky Stavropegial Monastery is a unique monument of Russian medieval writing and a valuable source on the history of monastic land ownership in the 15th – 17th centuries. The Archaeographic Commis-sion and the Holy Synod saved the monastery`s archive in 1917, ensured its preservation and secured scholars’ ac-cess to the documents. The article focuses on Professor Boris Dmitrievich Grekov (1882–1953) and his contribution to the evacuation of the Solovetsky archive from Arkhangelsk to Perm along with its preservation from destruction. Grekov was the founder of the Department of Russian History at the Perm University, a member of the USSR Acad-emy of Sciences, and was honored by getting the Stalin award. Grekov’s personal files deposited in the State Ar-chives of the Perm Region are the main source for the research. The documents help better understand the scientific and pedagogic work of this outstanding scholar in Perm. In addition to Grekov’s contribution, the article highlights the role of the Perm diocese of the Russian Orthodox Church and its head, the archbishop of Perm and Kungur An-dronik (Nikolsky), in rescuing the documents of the Solovetsky monastery and delivering them to Perm. The author introduces new information into the scientific circulation that sheds the light on the activity of the scientific corpora-tion of the Perm University during the years of the revolution and the Civil War. The author concludes that the preservation of the unique monument of medieval Russian history (the archive of the Solovetsky Monastery) was a joint effort of the Perm University and Perm Diocese of the Russian Orthodox Church. The leading role in this rescue goes to the scholars of the Perm University and personally to Boris Grekov
Autonomous work of students: ways and means of its organization

The article discusses the issues of organizing students' autonomous work as one of the fundamental components of the process of obtaining professional education. Autonomy is understood as the ability and readiness of a student to independently control their own activities. Autonomy is a broad concept that combines responsibility, independence, broad outlook and critical thinking, as well as self-sufficiency. It applies to both teachers and students. The article describes the levels of autonomy, conditions, ways and means of its development. Specific groups of tasks are proposed, developed depending on the level of development of students' autonomy, as well as the stages that a student must go through to develop their autonomy.