Reviewerly/exHarmony huggingface dataset:
PEMANFAATAN ARTIFICIAL NEURAL NETWORK DENGAN METODE HEBB RULE UNTUK PENGENALAN BAHASA ISYARAT INDONESIA STATIS

Abstrak: Communication limitations are a social problem faced by persons with disabilities who are deaf and speech impaired. This problem is not only experienced by people who are deaf and speech impaired. Because it is less able to translate sign language this also becomes a problem for normal people in communicating with people who are deaf and speech impaired. Based on the problems outlined above, an analysis will be carried out for the introduction of static Indonesian sign language patterns. Where the data used is visual data in the form of pictures taken based on the visual form of the hand that refers to the Indonesian sign language type SIBI (Indonesian Sign System) using the artificial neural network method of hebb rule. Visual data in the form of images are obtained from capture results which are then collected and inputted through a system with the Python programming language as much as 72 training data which are then processed with several stages including preprocessing which has 3 stages namely grayscaling, edge detection, and thresholding. Furthermore, the data is processed at the segmentation stage and classification testing is performed on the test data using the hebb rule method which has a percentage of pattern recognition accuracy of 100% in the training data testing and an accuracy percentage of 80.37% in the test data obtained from the capture of 72 test data. Keywords : Hebb Rule, Artificial Neural Network, Grayscale, Edge Detection, Threshold, Ekstraksi, Bahasa Isyarat  Indonesia, SIBI.
Deep Learning for Classical Mechanics.

Deep learning has been widely and actively used in various research areas. Recently, in the gauge/gravity duality, a new deep learning technique so-called the AdS/Deep-Learning (DL) has been proposed [1, 2]. The goal of this paper is to describe the essence of the AdS/DL in the simplest possible setups, for those who want to apply it to the subject of emergent spacetime as a neural network. For prototypical examples, we choose simple classical mechanics problems. This method is a little different from standard deep learning techniques in the sense that not only do we have the right final answers but also obtain a physical understanding of learning parameters.
Understanding the Modus Operandi of Advanced Persistent Threats : A comparison of the Modus Operandi of Advanced Persistent Threats and their Impact

Since Advanced Persistent Threats (APTs) are the most sophisticated form of cyber weapon to date, previous research has indicated that further knowledge about the actors and their Modus Operandi (M ...
Efficient Deep Neural Network Inference for Embedded Systems: A Mixture of Experts Approach

Deep neural networks (DNNs) have become one of the dominant machine learning approaches in recent years for many application domains. Unfortunately, DNNs are not well suited to addressing the challenges of embedded systems, where on-device inference on battery-powered, resource-constrained devices is often infeasible due to prohibitively long inferencing time and resource requirements. Furthermore, offloading computation into the cloud is often infeasible due to a lack of connectivity, high latency, or privacy concerns. While compression algorithms often succeed in reducing inferencing times, they come at the cost of reduced accuracy. The key insight here is that multiple DNNs, of varying runtimes and prediction capabilities, are capable of correctly making a prediction on the same input. By choosing the fastest capable DNN for each input, the average runtime can be reduced. Furthermore, the fastest capable DNN changes depending on the evaluation criterion. This thesis presents a new, alternative approach to enable efficient execution of DNN inference on embedded devices; the aim is to reduce average DNN inferencing times without a loss in accuracy. Central to the approach is a Model Selector, which dynamically determines which DNN to use for a given input, by considering the desired evaluation metric and inference time. It employs statistical machine learning to develop a low-cost predictive model to quickly select a DNN to use for a given input and the optimisation constraint. First, the approach is shown to work effectively with off-the-self pre-trained DNNs. The approach is then extended by combining typical DNN pruning techniques with statistical machine learning in order to create a set of specialised DNNs designed specifically for use with a Model Selector. Two typical DNN application domains are used during evaluation: image classification and machine translation. Evaluation is reported on a NVIDIA Jetson TX2 embedded deep learning platform, and a range of influential DNN models including convolutional and recurrent neural networks are considered. In the first instance, utilising off-the-shelf pre-trained DNNs, a 44.45% reduction in inference time with a 7.52% improvement in accuracy, over the most-capable single DNN model, is achieved for image classification. For machine translation, inference time is reduced by 25.37% over the most-capable model with little impact on the quality of the translation. Further evaluation utilising specialised DNNs did not yield an accurate premodel and produced poor results; however analysis of a perfect premodel shows the potential for faster inference times, and reduced resource requirements over utilising off-the-shelf DNNs.
Learning from Data with Geometry-Aware Sparse Grids

Employing sparse grids for data mining mitigates the curse of dimensionality, is applicable for mining large datasets, and offers an explainable approach to machine learning.In this thesis, we introduce a sparse grid-based incremental learning scheme for density estimation supporting computational efficiency and online model adaptions.On top, we introduce geometry-aware sparse grids to tackle image classification problems and implement the methods in the user-friendly SG++ data mining pipeline.
Problems of Teaching "Digital" Children

The article analyzes various pedagogical systems that are used to educate modern children.The authors compare the pedagogical systems of a traditional school, Waldorf schools, Zankov's school, Russian classical school, online schools and home schooling.The study revealed differences in the levels of educational motivation of students studying in classes with different pedagogical systems, significant differences in the hierarchies of values of students and their psychological well-being.
PERFORMING A TEACHING INNOVATION ACTIVITY IN TIMES OF PANDEMIC

M.L. Ojeda, S. Argüelles, O. Carreras, M.L. Calonge, P. Núñez-Abades, C.M. Vázquez, M.D. Vázquez-Carretero, L. Carrascal, M.J. Peral, M. Cano, F. NogalesUniversidad de Sevilla, Facultad de Farmacia (SPAIN)
LibGuides: Continuity of Services: Renewing & Returning Material

A guide to Remote Services for the Ruby E. Dare Library during periods when campus is closed or on reduced staffing.
Students of Architecture facing the 21st Century Challenges

Abstract: The paper aims at outlining a current state of architecture in general and specifically in Georgia. It emphasizes the problem of the architecture schools raising young architects with the academic target of responding to the modern challenges of urban designing. The paper concerns the highly individualistic expressions reflected globally in the modern architecture of the world’s developed countries with the technically and aesthetically innovative forms. We will discuss the concept of smart cities, which involves informative and communicative technologies providing the improved quality of urban services.While outlining the issues of modern architecture, it is very important to discuss how modern architecture is trying to cope with the growing problems, such as deficit of resources, growing population and grappling with politics. Moreover, we will overview the currently dominant problem of ownership of public spaces with the example of Tbilisi, the capital city of Georgia, that leads to chaotic urban development with the impact of poor housing conditions and hindering the protection of cultural heritage. Above all, it should not be overlooked, how modern educational system struggles to prepare qualified architects in our country, including the problem of the deficit of technological and financial resources, which are crucial in the field of architecture.
Understanding The Benefits Of Joining Laptop Repairing Course

A laptop is a battery- or AC-powered personalized computer, and countless people need them for professional, educational, or creative work. This essential electronic gadget is
Conflicts and Issues on Parental Participation in School Management

교육감 직선제가 시행된 이후, 민주성과 개방성 원칙에 따라 교육정책의 다양한 분야에서 협치 장치들이 제도화되고 운영되어 왔다. 단위학교 책임경영제의 운영 범위가 예산결정과 평가로까지 확산됨에 따라 학부모의 역할이 부각되고 있다. 특히 교육수요자로서 예산과 평가 등 단위학교 의사결정과정에 참여하는 학부모의 역할과 그 영향에 대해 기대와 우려가 교차하고 있다. 본 연구는 학교 자율화와 이에 따른 단위학교 책임경영을 기조로 하는 교육행정 체제 변화로 인해 확대된 학부모의 의사결정 참여 영역과 수준의 변화를 고찰하고, 교육주체로서 학부모의 역할의 지향점을 모색하였다. 이를 위해 학부모의 학교 운영 참여에 대한 상반된 이론적 흐름과 이를 구체화한 상반되는 제도적 현황을 제시하였다. 이렇게 확인된 교육주체로서의 학부모 역할을 도출하고, 이를 토대로 현행 단위학교책임경영 제도 내 학부모 의사결정 수렴 구조의 쟁점을 도출하였다. 본 연구를 통해 단위학교를 중심으로 한 교육공동체 내 교육주체로서 학부모의 역할을 규정하는 데 있어서 기존의 당위적 정당성 부여와 전문성 부재에 따른 배제적 관점의 이분법적 논의를 극복하려고 하였다. 또한 자율과 자치로서 학교평가와 학교운영이 효과적으로 작동하기 위해 교육주체를 참여시킴에 있어 요구되는 원칙과 체계를 모색하고자 하였다.Recently, in accordance with the principle of democracy and openness, the parental participation in school management have been institutionalized and operated in various fields of educational policy. The purpose of this study is to examine changes in the level decision making and management participation of parents along with the changes of educational administrative system based on school based management (SBM) and school accountability system. On this point, we present the contradictory theoretical flow of the parental participation in school management and the conceptual framework different status among institutions in terms of introducing level and range of parental participation. Based on theories and practices, we draw out the issues of the structure of the parental school management participation structure in the current school based management system. Through this study, we try to overcome the dichotomy of the exclusionary viewpoint in terms of defining the role of the parents as the educational subject in the educational community centering in the era of school based management. Through this paper, we expect that comprehensive understanding on parental participation in school management can be continued.
Aesthetic Education as a Topical Direction ofPreparation of a Modern Specialist

This article explores the problem of aesthetic education and focuses on issues related to its implementation in the educational process of a modern educational institution. The content and features of modern aesthetic education in the system of professional training offuture specialists are covered. The study was conducted during the 2018/2019 academic year. The experimental group consisted of 105 students aged between 17-19 years, while the control group consisted of 155 students of the same ages. As part of this summative assessment, asurvey was conducted with the help of a questionnaire, which involved a total of 260 students from both universities, who answered the questions specifying the main shortcomings of modern educational activities. It is known that one of the conditions that interferes withaesthetic development of future specialists is the lack of free time, due to the fact that most students work in their free time after classes and the lack of motivation to participate in classroom discussions. In the processof conducting summative assessment with the help of psychological methods, the main attention was focused on communicative and organizational abilities, empathy, creativity and reflection. It is noted that among the priorities of educational activities at the faculty, it is important to create appropriate aesthetic conditions for the active development of students. Based on the survey, it was found that the main methods in aesthetic education are training, creative meetings with experts, artists and writers; practicals (method of assignments, setting of practical tasks - involvement in creative activity); preparation of excursions to museums, theatres, cinemas and the creation of thematic exhibitions. It is determined that studying at the university is not only preparation for future professional activities, but also the formation ofcharacter, inculcation of aesthetic and moral values, sustenance of culture and the development of creative thinking. The use of relevant international experience in the processes of creative preparation of young people plays an important role in ensuring the effectiveness oftraining and aesthetic education of students.
Benchmark av Containers och Unikernels

Purpose – The purpose of this paper is to explore the possibility to effectivize local networks and databases using unikernels and compare this to containers. This could also apply to reliability o ...
AN ERROR ANALYSIS OF STUDENTS' GRAMMATICAL ERROR IN WRITING REPORT TEXT BASED ON SURFACE STRATEGY TAXONOMY AT THE FOURTH SEMESTER OF ENGLISH EDUCATION DEPARTMENT STATE INSTITUTE FOR ISLAMIC STUDIES (IAIN SALATIGA)

ABSTRACTHidayasari, Cicik Nurul. 2020. An Error Analysis of Students’ Grammatical Error in Writing Report Text Based on Surface Strategy Taxonomy at the Fourth Semester of English Education Department of Iain Salatiga. A Graduating paper, English Education Department of Teacher Training and Education Faculty State Institute for Islamic Studies (IAIN Salatiga). Counsellor: Heru Saputra, M.A.Writing is one of the most difficult skills to be mastered for the English students and grammar knowledge is important in the writing process. To improve their writing skill, they need to a lot practices, and in practising they make error in language. The objectives of this research were to describe types of errors and to know the sources of the error in writing report text based on surface strategy taxonomy at the fourth semester of English Education Department of IAIN Salatiga. This research used qualitative research. The data source were collected from the students’ writing of fourth semester. Dulay’s, Burt, Krashen theory becomes the main key the data analysis. To find out the source of error the researcher used comparative analysis. Based on the analysis of the grammatical errors, there are four types of errors were found, which are error of omission, error of misinformation, error of addition, and error of misordering. Based on research finding the students made total of 55 errors. Omission error was found 31 times. Misinformation error occurred 13 times, addition error was committed 8 times, and misordering errors 3 times. As for the source of errors, four types of error affected the occurrence of students’ errors. These four errors as follows. Developmental or intraligual errors was found 40 times, unique errors 6 times, interlingual errors occurred 2 times, and ambiguous errors was produced 7 times. Key words : Error Analysis; Writing; Report Text; Surface Strategy Taxonomy
Deep-n-Cheap: An Automated Search Framework for Low Complexity Deep Learning.

We present Deep-n-Cheap -- an open-source AutoML framework to search for deep learning models. This search includes both architecture and training hyperparameters, and supports convolutional neural networks and multi-layer perceptrons. Our framework is targeted for deployment on both benchmark and custom datasets, and as a result, offers a greater degree of search space customizability as compared to a more limited search over only pre-existing models from literature. We also introduce the technique of 'search transfer', which demonstrates the generalization capabilities of the models found by our framework to multiple datasets. Deep-n-Cheap includes a user-customizable complexity penalty which trades off performance with training time or number of parameters. Specifically, our framework results in models offering performance comparable to state-of-the-art while taking 1-2 orders of magnitude less time to train than models from other AutoML and model search frameworks. Additionally, this work investigates and develops various insights regarding the search process. In particular, we show the superiority of a greedy strategy and justify our choice of Bayesian optimization as the primary search methodology over random / grid search.
Program Semantics-based Task Decomposition

Abstract Recently, automatic code generation technology has been extensively studied and gradually becomes an important part of software development. However, when facing coarsegrained, highly general task description, the current automatic code generation technology still cannot achieve good results. Therefore, we propose program semantics-based task decomposition technology. For a task description given by the user, natural language processing and deep learning technology are used to learn and understand it. Combined with the program semantics contained therein, we decompose the task into ordered subtask sequence. We evaluate our proposed model on constructed data set and achieve a BLEU-4 score of 18.13.
Class-Based Philosophy as the Leading Cause of Education Crisis

These days everyone agrees that school and the whole educational system is in the middle of the crisis, although the attempts taken to reform it are still underway in the form of modernization and updating of educational content, changing the evaluation system, implementing the digital technologies, etc. Every effort directed towards this goal is focused on elaboration of class-based school and lection-seminar university systems that are the main varieties of group learning, which was established in 15th-16th centuries to allow mass character of education. The organizational framework of group learning consists of three educational forms: individual, in-pair and in-group. In-group form is the prevailing one and exists in two modification - whole-class (frontal) work and small-group work (historically: teamwork).
Analysis to Users’ Reaction on Weird 3D Animation Videos on Instagram

Currently, Instagram is the most favorite social media platform in Indonesia and Instagram is already ranked as the 7th largest social media worldwide with the number of users around 800 million in January 2018 (Wearesocial.net, 2018). The main purpose of Instagram is to channel users’ visual ideas in the form of photos, digital arts, and videos. Besides, Instagram can also be a promotion tool for art. Here, users can find accounts with out-of-the-box contents, which tend to be disgusting or weird. One of the examples is @extraweg which produces 3D Animation videos. The content creator uploads digital arts which successfully attract Instagram users’ attention, resulted in both positive or negative reactions. Therefore, this research aims to study users’ reactions to some of the most viewed videos uploaded by @extraweg content creators. The result shows that there are pros and cons from the users. Pro comments on @extraweg’s account show that people love and satisfy with its 3D animation artworks. On the other hand, there are people who feel uncomfortable with the videos.
Characterization of Hand Gestures by a Smartphone-Based Optical Fiber Force Myography Sensor

In this paper, a smartphone-integrated, optical fiber sensor based on the force myography technique (FMG), which characterizes the stimuli of the forearm muscles in terms of mechanical pressures, was proposed for the identification of hand gestures. The device&rsquo;s flashlight excites a pair of polymer optical fibers and the output signals are detected by the camera. The light intensity is modulated through wearable, force-driven microbending transducers placed in the forearm and the acquired optical signals are processed by an algorithm based on decision trees and residual error. The sensor provided a hit rate of 87% regarding four postures, yielding reliable performance with a simple, portable, and low-cost setup embedded on a smartphone.
LibGuides: Research Introduction: Citations & Zotero

With the challenges presented by the Fall 2020 semester and the increased dependence on the UVA Library's online resources, this guide is intended to walk you through the basics of access to our online databases as well as tips and tricks for honing your
კლასიკური ფილოლოგია: დოქტორანტები და სამეცნიერო ბიბლიოთეკა (სიახლეები, ხარვეზები, პრობლემები)

Abstract: Scientific work is impossible without literature and accordingly without the scientific library. The academic stage of selecting the theme of dissertation is followed up by creating relevant bibliography.The aim of the present paper is to show the problems that the young researchers find related to creating the bibliography, finding or buying printed or e-books. We discuss the empirical problems with the example of the doctoral work of the students of Classical Philology at Akaki Tsereteli State University.We discuss a number of interesting innovations that have taken place since the period of opening a modern library at the university. As a result, the books placed on the shelves for many years have come out in the light of the day and many unique books have been found. In particular, the Latin-language editions of the 13th-18th centuries, which are intended to be studied, translated and digitized by the direction of Classical Philology at Akaki Tsereteli State University.We focus on the benefit of change of the research principles and techniques since the introduction of the electronic libraries, accordingly, the interesting innovations that have been introduced in this field at our university.We discuss the issues of profit of digital literature and the bases which facilitate the process of scientific research and analysis for doctoral students through its availability in the field of Classical Philology.We also underline the future plans for improving the scientific working process of doctoral students in the Scientific Library of ATSU.
Implementation of Marker Based Tracking Method in the Interactive Media of Traditional Clothes Knowledge-Based on Augmented Reality 360

Knowledge of traditional clothes, especially Indonesia, is currently carried out using digital media such as radio, television and the museum's official website. The limitation of presenting museum information in Indonesia makes the delivery of visual information not yet optimal Studies prove by combining several senses at once in presenting a content can increase people's memory and interest in the content. One of the technologies related to multimedia is Augmented Reality. In this study the authors built an Augmented Reality 360 Interactive Application on Custom Clothing Using a Marker Based Tracking Method that aims to introduce traditional clothes to the Museum used as objects to provide information to the public about traditional clothes with Augmented reality technology and Conveying information for the introduction of traditional clothes. Augmented reality applications on traditional clothes are built using 3D unity software and using Vuforia in applying the marked based tracking method in retrieving a database of images on a marker. The results of this research are applications that can display traditional clothes using augmented reality-based technology so that they are easy to use by the wider community such as the general public and students.