Reviewerly/exHarmony huggingface dataset:
APPLICATION OF THE SHANNON ENTROPY AND MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS PLUS FULL MULTIPLICATIVE FORM (MULTIMOORA) ON TAEKWONDO BELT INCREASE SELECTION

This research uses the Shannon Entropy method for weighting and the MULTIMOORA method is used for the ranking process. In this study, the selection  of belt increases will be carried out by considering several criteria, namely, KIbun Dongjak (Basic Movement), Poomsae, Poomsae Options, Chagi (Kicks), Kyorugi (Fighting), and Theory. Which aims to determine the level of accuracy generated by the two methods. The data used are the selection data for the increase in the taekwondo belt. The result of this study on the application of the Shannon Entropy method and the Multi-Objective Optimization Method On The Basis Of Ratio Analysis Plus Full Multiplicative Form (MULTIMOORA) for Geup 6 with 11 alternative data has an accuracy rate of 76%, for Geup 7 with 12 alternatives the data has an accuracy rate of 65%, for Geup 8 with an alternative number of 13 data has an accuracy rate of 77%, for Geup 9 with an alternative number of 14 data has an accuracy rate of 67%, while for Geup 10 with an alternative number of 6 data has an accuracy level of 86%.
Folklore "Momotaro" to Okayama City

MOMOTARO is a famous Japanese folk tale in Japan and many counties since the past until now. Form of the narrative is one speaker to other speakers, for example, Roll paper pictures, tales, textbooks, As well as media such as cartoons, anime, and movies. From details of an incredible and interesting story of a hero boy born from peach and travels to defeat the giant with his three minions. In this story, there are many things to follow and searching about the birth of the main character of the protagonist a boy Momotaro. The obtaining, which is subordinate to the three minions. the pheasant, the dog, and the monkey after giving a Kibidango and that ordinary people with animals travel to defeat the giants, etc. But this incredible long tale is compared to the stories in the past that appear in the records of the Kojiki which a history books and the Ura myths. It was found that the connection of the characters that appear in the Momotaro folklore is likely to be adapted from that myths. So that myths reflect the faith of Japan in the gods coming out of myths through this story. And besides the characters, it was also found that the real location from the tale situation in this folklore was Okayama. Therefore, in this article, I would like to present the tale and history of the Momotaro folklore, as well as presenting the myth of the Momotaro of sightseeing in travel route in Okayama.
Vıdeo Akredıtası Perguruan Tınggı Unıversıtas Internasıonal Batam

Accreditation is the process of determining the eligibility of an education program, a great accreditation score will increase the public’s view of that program. Universitas Internasional Batam is one of the largest and best universities on the Batam island. In March 2019, Universitas Internasional Batam held an accreditation and gained B in the end, in order to attract public attention therefore a video about accreditation in Universitas Internasional Batam were made. The author will gain the data and information for this report using observation and documentation, then the data gained using documentation will be edited using Adobe Premiere Pro CC 2020. The Author expect that the video will attract public attention and will increase university’s image and reputation.
A Survey of CNN and Facial Recognition Methods in the Age of COVID-19∗

The rising popularity of facial recognition technology has prompted a lot of questions about its application, reliability, safety, and legality. The ability of a machine to identify an individual and their emotions through an image with near perfect accuracy is a testament to how far Artificial intelligence (AI) models have come. This study rigorously analyzes and consolidates several reputable materials with the purposes of answering the following questions: What is facial recognition? How is data acquired? What is the machine learning process? How does the Convolution Neural Network (CNN) work? It also explores the potential obstructions such as face masks that affect the machine's accuracy, security vulnerabilities, reliability, and legal concerns of the technology.
Development Of Remote Educational Course Based On Moodle

This article discusses the development and use of e-learning courses in higher educational institutions. The study includes a description of the electronic educational environment of the Reshetnev Siberian State University of Science and Technology, which forms a system-organized set of information, technical, educational and methodological support, inextricably linked with a person as a participant in the educational process. The purpose of the work is to develop software and methodological support for the discipline «Econometrics», and its implementation in the electronic educational environment of a higher educational institution. The approbation of the e-learning course was carried out on the basis of the assessments of the university experts, exposed according to 19 different criteria. To assess the consistency of expert opinions, the concordance coefficient and Pearson's criterion were calculated. The results of the expert assessment showed that the developed electronic distance course meets all the necessary criteria and can be used by students.
Detecting Application-Level Associations Between IoT Devices Using A Modified Apriori Algorithm

Internet of Things (IoT) enabled devices are becoming increasingly common, but their reliance on internet connectivity reduces their overall reliability. The use of cloud servers is one way of achieving interoperability between different IoT devices. It is not necessary for two devices to know how to directly communicate with each other, because their vendor’s cloud servers will do it for them. As a result, cloud servers have become a critical part of the IoT infrastructure. For some of these devices, losing connectivity to them means that even very basic functions cease to work. A possible approach to this problem would be to analyze traffic between sensor-actuator pairs while online, build a model for each pair, and predict cloud server responses based on this model when the network loses internet connectivity. An important precursor to this approach is identifying sensor-actuator pairs in an IoT network, with no prior knowledge except for the hardware addresses of each IoT device - the association detection problem. This paper will discuss shortcomings of earlier approaches; describe a solution to the association detection problem using a modified Apriori algorithm, along with a method to create its input from network traffic; and finally, modify the solution to adapt to fluctuating network conditions. The final design accurately discovers sensor-actuator pairs using a simple approach with relatively low computational complexity, and with only minimal initial information. It will become an important first step towards providing a full offline reliability solution for IoT networks.
Κρυπτοσυστήματα Schnorr. Περιγραφή και Κρυπτανάλυση

Cryptography is the science of secure communication that applies complex mathematics to the design of powerful cryptographic methods and for many people is a kind of art. Nowadays the several needs of communications and electronic transactions, make it necessary to have cryptographic schemes that are secure, fast and reduce the storage space of electronics devices. Schnorr's Cryptosystems have these three requirements and create digital signatures quickly and securely. They are protocols that are distinguished for their simplicity and for some of their properties, such as linearity, which make them modern and preferable to other digital signature schemes.In the first chapter are being mentioned some basic concepts of Number Theory, Algebraic Structures and Lattices. We make an attempt to describe and analyze for the reader, the required mathematical background.The second chapter presents basic cryptographic concepts and some other necessary knowledge for understanding Schnorr Schemes. In the chapter are being described some Digital Signature Schemes, the Random Oracle Model and the meaning of hash function, so that the reader becomes familiar with concepts we use in the basic body of the dissertation.In the third chapter is being described the Schnorr Cryptographic Scheme. We present the Schnorr cryptographic protocol and the function of a smart card, for which the scheme was proposed from the beginning. The security of the scheme is being studied in this chapter and also the choice of security parameters. A description of the preprocessing algorithm is given and is also being emphasized the importance of the appropriate hash function for the cryptosystem. In addition, we present the advantages of Schnorr's cryptographic scheme and we compare its performance with other digital signature schemes.In the fourth chapter we present an attack in the Schnorr Scheme based on Lattices and the Lagrange's algorithm. Finally, we describe some variations of Schnorr's Scheme that have been published in the following years of the Cryptosystem's presentantion. Chapter 5 deals with the applications of Schnorr's Cryptosystem. In the chapter, are being analyzed Multi-Signatures, Adaptor Signatures and Blind Signatures. These applications have great importance in creating valid signatures in modern operating systems. Finally, in this chapter we present the application of Schnorr's signatures in Bitcoin that is a subject of contemporary research and it is useful for reader's further studying.
Novel Cooperative Automatic Modulation Classification by Credit-based Consensus Fusion

A novel cooperative automatic modulation classification (AMC) scheme by use of the credit-based consensus fusion is introduced in this paper. We propose a two-stage cooperative AMC approach to be deployed by a wireless sensor network consisting of a fusion center (FC). The unknown modulation scheme of a target signal is first identified by each individual sensor using graph-based automatic modulation classification. Then all local (individual) decisions are combined by the fusion center to produce the ultimate result according to the associated individual credits which are pertinent to the respective historical classification accuracies. Compared to the existing AMC schemes, which can be implemented only on a single sensing device (receiver), our proposed new cooperative AMC method can increase the overall classification accuracy as the cooperation and credit-based consensus fusion employed in our new method can greatly mitigate the adverse effect of channel distortion and noise impairment often encountered in the existing single-sensing-device modulation classifiers. Meanwhile, the extra communication overhead required by our new method is quite limited and therefore the incurred communication cost is minimum. Monte Carlo simulation results have justified the effectiveness and superiority of our proposed new cooperative AMC method.
IMPLEMENTATION OF SUGENO'S FUZZY LOGIC IN ANALYZING RICE AVAILABILITY DURING THE COVID-19 PANDEMIC AT PERUM BULOG NORTH SUMATRA

During the Covid-19 Pandemic economic activities in North Sumatra experienced problems because many people had been laid off and lost their jobs which made them worried about reaching the staple of rice. So that the government feels the need to provide rice assistance which is directly channeled through BULOG. With this direct social assistance to the community, it could lead to instability in the rice supply and expenditure stocks until at least February 2021. So it is necessary to analyze the availability of rice at Perum BULOG so that the rice stock supply at Perum BULOG remains stable during the Covid-19 Pandemic. With fuzzy logic, Sugeno will present uncertainty, uncertainty, inaccuracy which will then produce a model of a system that is able to estimate the amount of rice supplies during the Covid-19 pandemic. In January, in the calculation of realization from North Sumatra BULOG, the ending inventory was 42,941 tonnes, while the yield from the Sugeno fuzzy method was 34,833.06 tonnes. This shows that there is a mismatch between the amount of income and expenditure of rice.
Argumentation and Fiction: Types of overlaps and their functions

Argumentation and fiction are quite different types of communicative phenomena. However, overlaps between them happen to be very frequent. We can both fictionalize by means of argumentation and argue by means of fiction. The main goal of this paper is to analyse the different types of overlap that may arise between argumentation and fiction. In this paper, the defended hypothesis is that by considering who the “character” that is arguing is, we can get an exhaustive account of any possible overlap, as well as an explanation of the different functions that such overlaps can play.
LibGuides: Course Clearances For Instructors: Business Cases

Navigate copyright requirements related to the use of resources in online and campus classrooms
Advertisement Wars? Watch Whom You Really Offend

The rapid development of global business brings along a highly competitive environment among industries across cultures. Companies have been seeking ways to win customers over their rivals around the world, using technological development and know-how for their marketing. Communication tools and strategies to convince consumers about the superiority of their brand are becoming increasingly subtle, while social and cultural aspects are gaining in importance. But successful businesses know that it is not only about a good advertisement for their products or services, but also good relationships with a wider range of audiences. The presented paper focuses on the way marketers, in their attempts to establish themselves within their industry over competition, manage comparative advertisement strategies. The study does not analyze factual consumer behavior or perceptions, but provides a socio-linguistic perspective on advertisement as a communication act. In a pursuit to show the dynamics enacted in advertisement messages, it focuses on the pragmatic function of offense, its socio-cultural contexts, and external effects on the interaction between companies and their customers. Examples of advertisement wars between industry rivals are analyzed to demonstrate how the use of comparative advertisement strategies affects the actors and their audiences. The results show that when adopting the linguistic format of offense, a communicative act problematic in nature and ensuing normative processes, it is of utmost importance to carefully consider the end audiences, their interests and feelings, as well as the consequences if the message hits the wrong target.
Research on multi-UAV task decision-making based on improved MADDPG algorithm and transfer learning

At present, the intelligent algorithms of multi-UAV task decision-making have been suffering some major issues, such as, slow learning speed and poor generalisation capability, and these issues hav...
HUNIAN BERWAWASAN PREFABRICATED DAN MODULAR BERBAHAN CARDBOARD-PLYWOOD (STUDI KASUS: WIKKEL HOUSE_FICTION FACTORY)

AbstractCurrent dialogues about sustainable design are starting to reach the human living sector, starting from zero-waste production process to minimizing carbon footprint. One topic in particular is the need for residences. Government policies and economic advances can affect the values of land and property (in the residences scope; with land-building sites and without flats sites). Buildings with sites (land-building) are residences that are usually built on-site. There is a new point of view and technique that has been applied in developed countries such as Japan, America, Netherlands, and Australia, known as “prefabricated and modular”. When we assume the words “prefabricated” and “modular”, they are not quite common in Indonesia, especially regarding buildings that are worked on on-site. Recent scientific and technological advances regarding building structures and materials point towards the style of prefabricated and modular houses. Prefabricated and modular building, which leans towards sustainable design, can especially make us of cardboard plywood as materials.Keywords: sustainable design, residence, prefabricated, modular, cardboard plywood AbstrakHunian berwawasan prefabricated dan modular berbahan cardboard-plywood. Wacana mengenai sustainable design pada saat ini merambah ke berbagai sektor kehidupan manusia, mulai dari proses produksi yang diarahkan pada zero waste, hingga meminimalisir carbon footprint. Salah satunya terkait dengan pemenuhan kebutuhan mengenai tempat hidup atau hunian. Kemajuan perekonomian di suatu daerah dan kebijakan pemerintahan, memberikan pengaruh terhadap peningkatan nilai tanah dan properti (cakupan hunian; dengan tapak_tanah-bangunan dan tanpa tapak_rumah susun). Bangunan dengan tapak (tanah-bangunan) merupakan hunian yang biasanya dibangun secara on-site. Terdapat cara pandang dan teknik baru yang telah diterapkan terlebih dahulu pada negara maju, seperti diantaranya Jepang, Amerika, Belanda, dan Australia, dimana dikenal dengan ‘prefabricated and modular’. Ketika mengasumsikan kata prefabricated dan modular, kedua hal tersebut bukanlah hal umum yang dihadapi di Indonesia, khususnya untuk bangunan dengan tapak yang dikerjakan secara on-site. Kemajuan teknologi dan pengetahuan akan struktural serta bahan bangunan yang digunakan, turut mendukung pengerjaan prefabricated dan modular house. Pemanfaatan struktur dan bahan bangunan yang mengarah pada sustainable design (prefabricated dan modular) dengan memanfaatkan dan memberdayakan material cardboard dan plywood.Kata kunci: sustainable design, hunian, prefabricated, modular, cardboard-plywood
Multi-Target Learning Algorithm for Solar Radiation Components Forecasting Based on the Desired Tilt Angle of a Solar Energy System

Solar radiation components (SRC) forecasting with different tilt angles plays a key role for planning, managing, and controlling the solar energy system production. To overcome the gaps related to the intermittence and to the absence of SRC data, an accurate predictive model needs to be established. The main goal of the present work is to develop for solar system engineers and grid operators a precise predictive approach based on multi-target learning algorithm to forecast the hourly SRC measurements that is related to the city of Marrakesh (latitude 31°37′N, longitude 08°01′W, elevation 466m), Morocco, received by different inclined solar panels’ surfaces. For this purpose, eight training algorithms (Resilient back Propagation (Rp), One step secant (OSS), Levenberg-Marquardt (LM) Algorithm, Fletcher-Reeves algorithm (Cgf), Polak-Ribiere algorithm (Cgp), Powell-Beale algorithm (Cgb), gradient descent (Gd) algorithm and scaled conjugate gradient algorithm (Scg)) are tested to optimize the developed approach’s parameters. The forecasting results were performed based on the angle of inclination desired by the operator and some accessible meteorological measurements that are recorded at each hour, comprising time variables. The achieved performance demonstrates the stability and the accuracy of the established approach to estimate the hourly SRC time series compared to several recent literature studies.
SVA Library Research Guides: Online Resources and Services: Your Library Account

The following guide outlines the collections, services, and support available remotely to students, faculty, and staff.
Relation-Aware Reasoning with Graph Convolutional Network

Semantic dependencies among objects are crucial for the recognition system to enhance performance. However, utilizing object-object relationships is a non-trivial task as objects are of various scales and locations, leading to irregular relationships. In this paper, we present a novel visual reasoning framework that incorporates both semantic and spatial relationships to improve the recognition system. We at first construct a knowledge graph to represent the co-occurrence frequency and relative position among categories. Based on this knowledge graph, we are able to enhance the original regional features by a Graph Convolutional Network (GCN) that encodes the high-level semantic contexts. Experiments show that our framework manages to outperform the baselines and state-of-the-art on different backbones in terms of both per-instance and per-class classification accuracy.
An Analysis on the Use of Video Project towards Students Speaking Skill: A Study of Undergraduate Students at English Department in University of Sultan Ageng Tirtayasa

The researchers chose video project and speaking skill as the variable and title of their paper because the researchers realized that everything would end up with technology as the world which human lived in. So does the educational sector, the educational sector will also be affected by the globalism era with technology on it that force students to learn more innovative way with technologies. The objective of this research was to find out the use of video project towards students speaking skill at English Department in University of Sultan Ageng Tirtayasa. The researchers used qualitative research and implementing case study as the research method. There were 3 classes involved in this research. Each class consisted approximately of 40 students. Applying video project in the teaching learning process of speaking, the researchs revealed that there was significant improvement with 80% of students has improved the 5 speaking skill aspects (Pronunciation, Vocabulary, Fluency, Comprehension, Grammar). The result of the questionnaire showed that 80% students (separated into two section agree, strongly agree) have positive responses towards the use of video project towards their speaking skill. Therefore, it is suggested that the teacher should use video project in their teaching learning process especially speaking skill.
Event-Ready Entanglement of Distant Atoms Distributed at Telecom Wavelength

Quantum repeaters will allow scalable quantum networks, which is essential for large scale quantum communication and distributed quantum computing. A crucial step on the road towards a quantum repeater is to achieve heralded entanglement between stationary quantum memories over long distances.
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning

We present MDP Playground, a testbed for Reinforcement Learning (RL) agents with dimensions of hardness that can be controlled independently to challenge agents in different ways and obtain varying degrees of hardness in toy and complex RL environments. We consider and allow control over a wide variety of dimensions, including delayed rewards, sequence lengths, reward density, stochasticity, image representations, irrelevant features, time unit, action range and more. We define a parameterised collection of fast-to-run toy environments in OpenAI Gym by varying these dimensions and propose to use these to understand agents better. We then show how to design experiments using MDP Playground to gain insights on the toy environments. We also provide wrappers that can inject many of these dimensions into any Gym environment. We experiment with these wrappers on Atari and Mujoco to allow for understanding the effects of these dimensions on environments that are more complex than the toy environments. We also compare the effect of the dimensions on the toy and complex environments. Finally, we show how to use MDP Playground to debug agents, to study the interaction of multiple dimensions and describe further use-cases.