Reviewerly/exHarmony huggingface dataset:
그림책 활용 초등영어 수업에서 모바일 앱 기반 쓰기 지도에 대한 연구

This study aimed to explore the possibility of adapting mobile application-based writing in primary English using picture books. Three research questions were set up: the participating children’s perspectives on English writing based on mobile apps using picture books, aspects of using search engines in English writing, and effects on the children’s English writing through interaction based on written communication. The data were collected from twenty 6th graders through diverse sources to analyze both qualitatively and quantitatively. The study yielded three major results. First, the participating children were able to enjoy writing using the functions of mobile applications such as app templates, diverse fonts and background pictures. Second, children utilized mobile app dictionaries and translators by understanding the functions of each device, while also developing their own strategies using the translator in writing sentences. Finally, the participants’ English writing skills were improved through interactive activities based on mobile application writing. At first, they interacted using nonverbal icons, and then moved on to write in English by responding to the contents of their friends’ writing. Some implications are suggested based on the results.
A Privacy-Preserving Blockchain-based Information Shared Scheme in Smart-Cities

Development of the Internet leads to a growing number of data. The data collected across the city is very useful for analysis and decision making. Data sharing is an important way to make good use of the valuable data. Since the data cannot be disclosed publicly in some cases, encrypted data sharing schemes are proposed. However, encryption causes a certain difficulty in data usage. In order to balance the data usage and privacy, this paper proposes a privacy-preserving blockchain-based data sharing scheme for smart cities, in which data is only shared to the authorized user. Moreover, the data accountability, trust and non-repudiability are provided by using blockchain, the access control and data confidentiality are enabled by using Attribute-Based Encryption (ABE), the Interplanetary File System (IPFS) system is used to mitigate the limitation of blockchain storage. Furthermore, the proposed scheme provides retrieval privacy to users, the interest record is obfuscated with other unrelated records to protect the user’s privacy. The theoretical analysis and simulation are performed, and the results show that the proposed scheme is feasible.
MIM-GOLD-NER – named entity recognition corpus

This Icelandic named entity (NE) corpus, MIM-GOLD-NER, is a version of the MIM-GOLD corpus tagged for NEs. Over 48 thousand NEs are tagged in this corpus of one million tokens, which can be used for training named entity recognizers for Icelandic.The MIM-GOLD-NER corpus was developed at Reykjavik University in 2018–2020, funded by the Strategic Research and Development Programme for Language Technology (LT). Two LT students were in charge of the corpus annotation and of training named entity recognizers using machine learning methods.A semi-automatic approach was used for annotating the corpus. Lists of Icelandic person names, location names, and company names were compiled and used for extracting and classifying as many named entities as possible. Regular expressions were then used to find certain numerical entities in the corpus. After this automatic pre-processing step, the whole corpus was reviewed manually to correct any errors. The corpus is tagged for eight named entity types:PERSON – names of humans, animals and other beings, real or fictional.LOCATION – names of locations, real or fictional, i.e. buildings, street and place names, both real and fictional. All geographical and geopolitical entities such as cities, countries, counties and regions, as well as planet names and other outer space entities.ORGANIZATION – companies and other organizations, public or private, real or fictional. Schools, churches, swimming pools, community centers, musical groups, other affiliations.MISCELLANEOUS – proper nouns that don’t belong to the previous three categories, such as products, books and movie titles, events, such as wars, sports tournaments, festivals, concerts, etc.DATE – absolute temporal units of a full day or longer, such as days, months, years, centuries, both written numerically and alphabetically.TIME – absolute temporal units shorter than a full day, such as seconds, minutes, or hours, both written numerically and alphabetically.MONEY – exact monetary amounts in any currency, both written numerically and alphabetically.PERCENT – percentages, both written numerically and alphabeticallyMIM-GOLD-NER is intended for training of named entity recognizers for Icelandic. It is in the CoNLL format, and the position of each token within the NE is marked using the BIO tagging format. The corpus can be used in its entirety or by training on subsets of the text types that best fit the intended domain.The Named Entity Corpus corpus is distributed with the same special user license as MIM-GOLD, which is based on the MIM license, since the texts in MIM-GOLD were sampled from the MIM corpus.
DEVELOPMENT OF e-ASSESSMENT SYSTEM FOR LABORATORY PRACTICAL TEST

The development of e-assessment system of laboratory practical exam/test for Civil Engineering Diploma students is presented. The conventional laboratory practical exam requires lecturers to be on-site or in campus to make the assessment for their students. This new approach provides a broad access for a lecturer who is not able to attend the conventional laboratory exam at the laboratory and on the scheduled time. Furthermore, the e-PraTeSiM system also allows:- (i) the enhancement of practical exam assessment standard due to the mechanism used in the system; and (ii) the improvement of digital student record. This system is simple, flexible and user friendly. The implementation of this system was done, firstly, by recording or lives streaming of the student who is doing the practical exam in the laboratory. Then, the student was asked with some questions provided in the system and his/her answer was recorded. The body gesture and voice level of the student were recorded in the system and used to evaluate the level of psychomotor and affective domains of the students that are included in the Outcome Based Education (OBE) requirements. Thus, the overall assessment for the student can be done efficiently and accurately. This system also includes a QR code for each student, displaying their results and performance individually. This data will be included in the student digital record as a reference for lecturers and future employers (for student). This system is an evolution of practical test assessment that fulfils the vision and mission of UiTM towards Industrial Revolution (IR4.0).
Practical Control for Multicopters to Avoid Non-Cooperative Moving Obstacles

Unmanned Aerial Vehicles (UAVs) are now becoming increasingly accessible to amateur and commercial users alike. The main task for UAVs is to keep a prescribed separation with obstacles in the air. In this paper, a collision-avoidance control method for non-cooperative moving obstacles is proposed for a multicopter with the altitude hold mode by using a Lyapunov-like barrier function. Lyapunov-like functions are designed elaborately, based on which formal analysis and proofs of the proposed control are made to show that the collision-avoidance control problem can be solved if the moving obstacle is slower than the multicopter. The result can be extended to some cases of multiple obstacles. What is more, by the proposed control, a multicopter can keep away from obstacles as soon as possible, once obstacles enter into the safety area of the multicopter accidentally, and converge to the waypoint. Simulations and experiments are given to show the effectiveness of the proposed method by showing the distance between UAV and waypoint, obstacles respectively.
Hierarchical Binding in Convolutional Neural Networks Confers Adversarial Robustness

We approach the issue of robust machine vision by presenting a novel deep-learning architecture, inspired by work in theoretical neuroscience on how the primate brain performs visual 'feature binding'. Feature binding describes how separately represented features are encoded in a relationally meaningful way, such as a small edge composing part of the larger contour of an object, or the ear of a cat forming part of its head representation. We propose that the absence of such representations from current models such as convolutional neural networks might partly explain their vulnerability to small, often humanly-imperceptible changes to images known as adversarial examples. It has been proposed that adversarial examples are a result of 'off-manifold' perturbations of images, as the decision boundary is often unpredictable in these directions. Our novel architecture is designed to capture hierarchical feature binding, providing representations in these otherwise vulnerable directions. Having introduced these representations into convolutional neural networks, we provide empirical evidence of enhanced robustness against a broad range of L0, L2 and L∞ attacks in both the black-box and white-box setting on MNIST, Fashion-MNIST, and CIFAR-10. We further provide evidence, through the controlled manipulation of a key hyperparameter, synthetic data-sets, and ablation analyses, that this robustness is dependent on the introduction of the hierarchical binding representations.
Global Optimisation in Hilbert Spaces using the Survival of the Fittest Algorithm

Global optimisation problems in high-dimensional and infinite dimensional spaces arise in various real-world applications such as engineering, economics, geophysics, biology, machine learning, optimal control, etc. Among stochastic approaches to global optimisation, biology-inspired methods are currently popular in the literature, imitating natural ecological and evolutionary processes and reported to be efficient in many practical study cases. However, many of bio-inspired methods have some vital drawbacks. Due to their semi-empirical nature, convergence to the globally optimal solution cannot always be guaranteed and struggles with the high dimensionality of space, showing a slow convergence. Here, we present a bio-inspired global stochastic optimisation method, applicable in Hilbert function spaces, inspired by Darwin's' famous idea of the survival of the fittest, therefore, referred to as the `Survival of the Fittest Algorithm' (SoFA). Mathematically, the convergence of SoFA is a consequence of a fundamental property of localisation of probabilistic measure in a Hilbert space, we rigorously prove the convergence of the introduced algorithm for a generic class of functionals. As an insightful real-world problem, we apply SoFA to find globally optimal trajectories for daily vertical migrations of zooplankton in ocean and lakes, considered to be the largest synchronised movement of biomass on Earth. We maximise fitness in a function space derived from a von-Foerster stage-structured population model with biologically realistic parameters. We show that for problems of fitness maximisation in high-dimensional spaces, SoFA performs better than some other stochastic global optimisation algorithms. We highlight the links between the new optimisation algorithm and natural selection process in ecosystems occurring within a population via gradual exclusion of competitive con-specific strains.
Music Theatre between the 20th and 21st Centuries: Problem of Genre Update

The article describes the findings of the study of the most significant trends in the development of modern music theatre, resulting in the update of its genres. Influenced by the surge of theatrical creativity in culture, development of digital and interactive technologies and mass media, and other processes between the 20th and 21st centuries, major stylistic discoveries were made, as well as new forms of music stage performance occurred. The author is focused on areas of the modern music theatre, poorly studied by the national music history, such as: television and radio shows, documentary theatre, musical and choreographic performance, mixed media music theatre. Based on their analysis, the article defines basic directions for further development of theatrical and musical genres, i.e. to update traditional genre models from the inside by searching for special forms of genre and style fusion and non-musical playwright forms, combination with screen arts and with real life. The article addresses new forms of theatrical and musical performance, including live art performance, matters of time and space, reinterpretation of the role of the audience, the establishment of environment for various connotations, as well as music and generally aesthetic issues.
The Idea and Feasibility of Science Communication in Academic Social Networks

The paper includes general findings of the study with respect to the impact of academic social networks on the academicians’ professional practice. The authors consider academic social networks as the new means of communication that seek to overcome the limits of traditional means of communication, i.e. academic conferences, scholarly periodicals and books. The study shows that web-platforms, including academic social networks, challenge the superiority of journals in the system of science communications. Based on the results of the empirical study, the authors pay extra focus to studying communication processes via digital platforms. It shows that social networks, due to their specific nature, transform the scientific activity, i.e. change an academician’s motivation and values, encouraging the pursuit of high ratings, more content, citations, followers and page traffic. The authors consider social networks as a tool of open science ideology, concluding that promotion of social networks profiles is underlined by certain power interests aimed at restructuring science communication pursuant to the values of the neoliberal economy.
Research on Design and Implementation of Power System Communication Based on Internet of Things Technology

With the continuous development of society, science and technology continue to advance. At present, the Internet of Things technology has been widely used, completing the connection between objects and the network. In the power system, the Internet of Things technology can promote the design and implementation of its communication, which has important application value. This article is mainly based on the core technology of the Internet of Things, introduces the power system communication network architecture and main functions based on the Internet of Things technology, and explains the communication system technology based on the Internet of Things technology to promote the development of the power system.
Research on English Teaching Information Pushing Method Based on Intelligent Adaptive Learning Platform

In order to overcome the existing problems of long time, low matching degree of information and user interest, and high average absolute error of English teaching information. This paper proposes a new method of English teaching information push based on intelligent adaptive learning platform. The classification of English teaching information shortens the time of English teaching information push. GN algorithm is used to partition user community network. The information label model, user label model and Bayesian classifier are combined to complete the push of English teaching information. Experimental results show that this method can provide users with about two seconds of English teaching information, saving more than half of the time. The usefulness of push in English information is up to 98%, and the error rate of push in English information is less than 0.2%.
On the Scalability of a Blockchain Network based on the Practical Byzantine Fault Tolerance Consensus Method

In this work, an investigation is carried out on the architecture of the blockchain networks and the different consensus methods that the network uses to write the transactions on a blockchain. In particular, it focuses on the practical Byzantine Fault Tolerance (pBFT) consensus method. First, a bibliographic and systematic review of the networks using this type of consensus was carried out; then it evaluates the number of nodes and message replicas that a pBFT-based network must have for consensus to be possible. Such a review allow to understand that tolerance to Byzantine faults is associated with the number of nodes that replicate the message that is sent, taking into account that there is a way to calculate the minimum number of nodes that must exist to maintain consensus in these systems. In addition, such tolerance is a property of specific systems, that is, it is not exclusive to blockchain technology. Finally, the main blockchain networks that use the pBFT consensus method have been analyzed in detail, and we have evaluated the conditions under which these networks are working at the time of making this article.
On the Teaching Reform of the Course Plant Tissue Culture Based on the Flipping Classroom Teaching Mode

Tissue is a practical and professional technical course. Based on the teaching status of Tissue Culture, it analyzes the direction of the teaching reform of Tissue under the new situation, and proposes to flip classroom teaching The realization path and application effect of the model in the classroom teaching of Tissue Culture. It aims to improve the teaching level and teaching quality of the Plant Tissue Culture course.
Blockchain of Finite-Lifetime Blocks for Edge-IoT Applications

In the recent past, many studies proposed the use of blockchain technology among edge computing nodes for the decentralized management and access control of IoT devices and data. Unlike cryptocurrency transactions in bitcoin blockchain that are stored indefinitely, IoT data has finite-lifetime. This difference in the lifetime of the IoT data provides an opportunity to reduce the storage costs of blockchain for Edge-IoT systems. This chapter reviews LiTiChain—a specialized architecture published in the literature and presents μ-LiTiChain—a generalized version of the LiTiChain. Both these architectures aim at reducing the storage costs of blockchain of finite-lifetime blocks for Edge-IoT systems. μ-LiTiChain offers a degree of freedom in the design of blockchain of finite-lifetime blocks in terms of a tradeoff between storage cost, security and computational cost. To provide the same level of security as conventional blockchain, in LiTiChain, some blocks are stored longer than their lifetime, which incurs additional storage cost. With extensive simulations and analysis, it is demonstrated that the μ-LiTiChain has the potential to decrease the additional storage cost incurred by LiTiChain to zero and improve security at the expense of computational cost. Two variants of μ-LiTiChain architecture i.e. p-LiTiChain and s-LiTiChain are also discussed.
A Small Universal Dependencies Treebank for Hittite

We present the first Universal Dependencies treebank for Hittite. This paper expands on earlier efforts at Hittite corpus creation (Molina and Molin, 2016; Molina, 2016) and discussions of annotation guidelines for Hittite within the UD framework (Inglese, 2015; Inglese et al., 2018). We build on the expertise of the above works to create a small corpus which we hope will serve as a stepping-stone to more expansive UD treebanking for Hittite.
The Effect of Character and Emotional Intelligence on the Mathematics Learning Result of Tenth Grade Senior High School Students in Palopo City

This is a correlational ex-post-facto study which aimed to know the effect of emotional intelligence on the result of mathematic learning of X grade senior high school students in Palopo City. The population of this study was all X grade students in all Senior High Schools in Palopo, the academic year 2018-2019. The sampling was carried out using Cluster Random Sampling technique. Students at 10th grade at Senior High School 6 Palopo, Senior High School 5 Palopo, and Senior High School 4 Palopo with the total number of 164 were selected as samples. Data were collected using three different questionnaires. The first one was to collect data about characters; the second one was to get data about emotional intelligence, while the other was to gather data about learning result. The inferential analysis indicated that character and emotional intelligence positively affected the learning result of mathematic subjects of X Grade Senior High School Students in Palopo City.
EMOTIVE FUTUROLOGY: WILL ROBOTS BE ABLE TO FEEL AS HUMANS DO?

The path is traced from folklore, mythological and fantastic dreams of the human being to modern scientific technologies – helpers to humans in all spheres of their activity. Particular attention is paid to cybernetic achievement and a variety of social networks. Numerous functions of already existing robots and their different types are listed. A brief excursion is traced in an attempt to create artificial intelligence. Certain difficulties in solving the problem of emotive lacunarity are emphasized. The article analyzes artistic images of artificial intelligence in the variety of their types and subypes, including human-like ones. The problem of emotionalization of artificial intelligence is raised, and ways of their theoretical and applied solution are proposed. Robot – programmers are supposed to master the latest achievements in emotiology and emotive linguoecology in order to reproduce adequate roboto sentiens. The possibility of a cyber rebellion in a single combat between a robot and a human is touched upon as a warning to scientists about the repeated tragic outcomes of nanotechnology.
SYSTEM FOR SELECTING EXTRACULAR TALENTS USING SIMPLE ADDITIVE WEIGHTING METHOD (SAW) AT MADRASAH IBTIDAIYAH (MI) ISMARIA AL-QUR'ANIYYAH BANDARLAMPUNG

Madrasah Ibtidaiyah (MI) Ismaria Al-Qur'aniyyah had 10 extracurricular activities, e.g., Futsal Men, Women's Futsal, Creative Dance, Scouting, Men's Basketball, Women's Basketball, Tekwondo, Soccer, Choir, and Regional Dance. The problem statement of this research was that there was a difficulty to determine the students’ interest to choose the extracurricular activity. Therefore, there was a need for a system to improve the good education quality, especially in choosing the extracurricular activity based on the 3 rd grade students’ interests. The method used in this study was the Method Simple Additive Weighting (SAW). Keywords: Recommendation System, Extracurricular, SAW
Reading Comprehension as Natural Language Inference: A Semantic Analysis

In the recent past, Natural language Inference (NLI) has gained significant attention, particularly given its promise for downstream NLP tasks. However, its true impact is limited and has not been well studied. Therefore, in this paper, we explore the utility of NLI for one of the most prominent downstream tasks, viz. Question Answering (QA). We transform one of the largest available MRC dataset (RACE) to an NLI form, and compare the performances of a state-of-the-art model (RoBERTa) on both these forms. We propose new characterizations of questions, and evaluate the performance of QA and NLI models on these categories. We highlight clear categories for which the model is able to perform better when the data is presented in a coherent entailment form, and a structured question-answer concatenation form, respectively.