Reviewerly/exHarmony huggingface dataset:
Speeding-Up Parallel Computation of Large Smooth-Degree Isogeny Using Precedence-Constrained Scheduling

Although the supersingular isogeny Diffie-Hellman (SIDH) protocol is one of the most promising post-quantum cryptosystems, it is significantly slower than its main counterparts due to the underlying large smooth-degree isogeny computation. In this work, we address the problem of evaluating and constructing a strategy for computing the large smooth-degree isogeny in the multi-processor setting by formulating them as scheduling problems with dependencies. The contribution of this work is two-fold. For the strategy evaluation, we transform strategies into task dependency graphs and apply precedence-constrained scheduling algorithms to them in order to find their costs. For the strategy construction, we construct strategies from smaller parts that are optimal solutions of integer programming representing the problem. We show via experiments that the proposed two techniques together offer more than 13% reduction in the strategy costs compared to the best current results by Hutchinson and Karabina presented at Indocrypt 2018.
A Fractional-Order Chaotic System and its Image Encryption

Many researchers have worked on image encryption combined with chaotic systems, and have made significant progress in recent decades. A fractional-order memristive chaotic systemr is proposed in this paper. Through theoretical analysis and numerical simulation, we found that the system has hidden attractors and coexistence behavior. Other than that, because the chaotic sequence generated by the chaotic system has a large key space and high security, an image encryption scheme is presented based on the chaotic system. We verify the effectiveness of the encryption method proposed in this paper by numerical simulation.
Developments in electronic low vision aids: Assistive technology 4

In the fourth article in this series, Bill Harvey continues his review of some of the more useful apps that might benefit our patients with sight loss.
Meet Your Email Sender - Hybrid Approach to Email Signature Extraction

Email signature is considered imperative for effective business email communication. Despite the growth of social media, it is still a powerful tool that can be used as a business card in the online world which presents all business information including name, contact number and address to recipients. Signatures can vary a lot in their structure and content, so it is a great challenge to automatically extract them. In this paper we present a hybrid approach to automatic signature extraction. First step is to obtain the original most recently sent message from the entire email thread, cleaned from all disclaimers and superfluous lines, making the signature to be at the bottom of the email. Then we apply Support Vector Machine (SVM) Machine Learning (ML) technique to classify emails according to whether they contain a signature. To improve obtained results we apply a set of sophisticated Information Extraction (IE) rules. Finally, we extract signatures with a great success. We trained and tested our technique on a wide range of different data: Forge dataset, Enron with our own collection of emails and a large set of emails provided by our native English-speaking friends. We extracted signatures with precision 99.62% and recall 93.20%.
The Code Mixing in the Classroom Conversation of First Semester Students of University of HKBP Nommensen Pematangsiantar

This thesis is an analysis on the code mixing of students’conversation in the classroom. Code mixing occurs when a word or an utterances from element language A is mixed into the language context of language B. Caused by the globalization of technology nowadays, many people tend to mix their language, especially Indonesian to English language in their conversations. So the problems formulated in this thesis are “what are the types of code mixing used by the first semester students of University of HKBP Nommensen Pematangsiantar in their conversation in the classroom, and what is the dominant code mixing used by the first semester students of University of HKBP Nommensen Pematangsiantar in their conversation in the classroom?”&#x0D; This research is a descriptive qualitative research because the collected data and the result of data analysis are in the form of sentences. The instrument in collecting the data is record and documentative technique. The data collected in this thesis is the recording of code mixing in the students’conversations. The data were analyzed based on Hoffman’s theory.&#x0D; The result of this research that there are three types of code mixing found in students’conversation in the classroom. They are : intra-sentential code mixing, intra-lexical of code mixing, and involving a change of pronunciation. Totally, there are 25 code mixing and 10 conversations representing code mixing. The percentage of intra-sentential code mixing is 24%, intra-lexical code mixing is 68%, and involving a change of pronunciation is 8%.&#x0D; From the percentage above, it can be concluded that intra-lexical code mixing is the most dominant code mixing used by first semester students of University of HKBP Nommensen Pematangsiantar in their conversation in the classroom. The findings implies that the code mixing is being accepted by the students as an important aspect variety of language in society.&#x0D;
FEATURES OF THE PSYCHOLOGICAL PREPARATION OF FUTURE PRIMARY SCHOOL TEACHERS AT THE STAGE OF STUDY AT THE UNIVERSITY

The relevance of the study is conditioned by the increasing requirements for the quality of psychological and specialised training of modern primary school teachers, as well as the need to increase the level of their professional competences in the context of current changes in secondary education. The main purpose of this study is an objective analysis of the features of psychological and pedagogical training of future primary school teachers, carried out to determine the most effective and currently available methods of professional training of future teachers in higher educational institutions. The leading approach in this study was a combination of methods of system analysis of the training of future primary school teachers in the system of higher education and analytical research of modern methods of improving the psychological stability of future teachers and the development of their professional competences.
Deep Learning 4D Inversion: A Brazil Pre-salt Case Study

Disclaimer Text and Data Mining. Any automated analytical technique aimed at analysing text and data in digital form in order to generate information including - but not limited to - patterns, trends and correlations (so-called Text and Data Mining) may only be applied if it is done by a research organisation or cultural heritage institution solely for the purpose of (non-commercial) scientific research as mentioned in Clause 3 of Directive (EU) 2019/790 (the Digital Single Market Directive) and Clause 15n of the Dutch Copyright Act [Auteurswet]. Text and Data Mining for commercial purposes is not allowed; all rights in this respect are reserved pursuant to Clause 4 paragraph 3 of the Digital Single Market Directive and Clause 15o paragraph 1 of the Dutch Copyright Act.
Jakarta EE Application Deployment Considerations

This book has covered the core APIs on the Jakarta EE platform for building applications. We have extensively looked at developing the various aspects of an application using the different APIs from a code perspective. As a general-purpose platform, the Jakarta EE specifications allow you to build all kinds of applications. This chapter covers the general theory of getting an application ready for production.
Are cryptocurrencies a sustainable alternative to traditional currencies?

The great economic crisis has shown that the global financial system primarily protects those who are ,,too big to fail". In order to provide the common man at least a partial liberation from the hegemony of this bureaucratized and undemocratic system, Bitcoin was created, the first cryptocurrency that functions in a decentralized monetary system based on the blockchain. The emergence of cryptocurrencies, which are beyond the control of the traditional political and economic structures, has raised hopes that the world monetary system can be democratized and freed from the influence of inefficient regulatory institutions. This paper analyzes how realistic the scenario is that in the foreseeable future cryptocurrencies will prevail over traditional currencies, starting from the basic characteristics of cryptocurrencies, regulation of their accounting and tax status, mutual influence of monetary policy and cryptocurrency system, potential benefits that cryptocurrencies can offer to developing countries, as well as a summary of the advantages and disadvantages of cryptocurrencies and recommendations for their improvement.
Learn Proportional Derivative Controllable Latent Space from Pixels

Recent advances in latent space dynamics model from pixels show promising progress in vision-based model predictive control (MPC). However, executing MPC in real time can be challenging due to its intensive computational cost in each timestep. We propose to introduce additional learning objectives to enforce that the learned latent space is proportional derivative controllable. In execution time, the simple PD-controller can be applied directly to the latent space encoded from pixels, to produce simple and effective control to systems with visual observations. We show that our method outperforms baseline methods to produce robust goal reaching and trajectory tracking in various environments.
Generalising Fault Attacks to Genus Two Isogeny Cryptosystems

In this paper we generalise the SIDH fault attack and the SIDH loop-abort fault attacks on supersingular isogeny cryptosystems (genus-1) to genus-2. Genus-2 isogeny-based cryptosystems are generalisations of its genus-1 counterpart, as such, attacks on the the latter are believed to generalise to the former.The point perturbation attack on supersingular elliptic curve isogeny cryptography has been shown to be practical. We show in this paper that this fault attack continues to be practical in genus-2, albeit with a few additional traces required. We also show that the loop-abort attack carries over to the genus-2 setting seamlessly.
A new method for detecting binary random sequences in cryptography: First interval test for non-overlapping templates

ABSTRACT: In the application of various fields of cryptography, the generation of the key should be random, because it directly determines the security of the system, so the detection of the random generation of the key is a crucial work in cryptography. Different detection methods detect different properties of sequences. The first interval test of non-overlapping templates introduced in this paper is mainly aimed at testing the frequency of the first interval of the specified template in the sequence. When the frequency of the first interval of the specified template conforms to the ideal distribution, the randomness hypothesis is accepted. On the contrary, the specific frequency the template, random hypothesis is rejected. This method focuses more on specifying the interval frequency of the occurrence of the template than some methods of checking the frequency of the occurrence of the template in the whole sequence. In addition, the sequence length examined by this detection method can be short or long. Compared with the random number detection method, the method introduced in this paper is more inclusive.
A Reusable Product Line Asset in Smart Mobile Application: A Systematic Literature Review

A reusable product line asset is a product or asset that can be reused for different purposes including charity.Smart mobile applications are one of several communication and information methods used in charitable activities.Web, mobile, or hybrid platforms can be used to develop charity applications.It takes design and purpose to build an application, whether methodology or software development is applied for the smooth design or development of an application.The data for this study were acquired from the appropriate literature between 2017 and 2021 in order to determine the application development on current charity applications.The Systematic Literature Review (SLR) was employed in this study.The SLR method is used to identify, review, evaluate, and analyze all available research on relevant topics, as well as research issues for philanthropic development.This study aims to answer the following research questions: identify the donation applications that are frequently developed by researchers; identify the methods that are commonly used in the development of charity applications; identify the application platform that is frequently used; identify the functions utilized to the developed application and identify the key users who are using the application.The findings show, charity donations app, structured method, mobile applications, authentication and charity centers and donors were the most often observed in this study.
THEORETICAL FOUNDATIONS OF THE PROFESSIONAL COMPETENCE OF THE TEACHER

This article examines the features of professional competence of a teacher, reveals approaches to determining the essence and structure of professional competence of a teacher, identifies the features of the innovative educational environment, identifies factors affecting the development of professional competence. Professional competence plays a special role due to the fact that the education system is currently characterized by significant innovative transformations. Under the current conditions, a teacher should be ready for any changes, be able to adapt quickly and effectively to new conditions, show a desire to be a professional, constantly update their knowledge and skills, strive for self-development, show tolerance to uncertainty, be ready for risk, i.e. be professionally competent. Thus, the development of professional competence of teachers becomes one of the most important conditions for reforming education.
Analisis Tingkat Literasi Digital Generasi Milenial dalam Mencegah Cyber Crime

Cybercrime is considered a serious problem in the digital age. The problem is the low literacy rate of the digital community. In Indonesia, the number of Internet users and the frequency with which people access information content and social media, especially among the millennial generation, are not accompanied by awareness to use the internet wisely. For this reason, this study aims to determine the level of digital literacy of the millennial generation in the city of Surabaya in tackling cybercrime. The research method used is a survey method with a quantitative approach. The sample used as research is 45 people from peers with a range of ages 15 to 20 years. Digital data literacy was obtained from the distribution of online questionnaires using Googleform which contained 31 statements as indicators, then analyzed descriptively using the SPSS version 23.00 program for Windows. The results showed that the level of digital literacy in general was in the low category index. The highest component is shown by Understanding Understanding, with a digital literacy index score of 46.8%, which is in the medium category. The lowest component is indicated by the ability to collaborate with a digital literacy index score of 32.2%. This research contributes in the form of new policy recommendations for policy makers as initial data screening related to digital literacy.
Frost-The Real Assistant

In today’s globalized world, digitalization continues to increase. We could only do limited tasks on a computer system in the early days. Now AI, ML, deep learning, and some other technologies have enabled us to perform several types of tasks on a computer system. There may be problems with communication with digital devices in today’s world where technology is advancing day by day. Digitalization isn’t beneficial if people can’t operate these devices. For this reason, we developed a device in the form of a wristwatch and robot integration with AI, ML, and Cloud. Machine learning, Artificial intelligence, and cloud services allow the user to execute almost every type of order or command without any usage of a keyboard just by saying or by the action of the hand. This device has different features for people of different generations. Older virtual working devices lack security features, voice authentication, and authorization. This device reduces the use of several devices, such as mobile phones, input devices like keyboards, mouse, etc. mainly for an older generation. It provides assistance, authentication of voice, and security to a large extent as it is wearable so it is easy to carry and handle.
Model for taking into account the research activity of education system employees based on the IOS operating system

The process of reviewing and analyzing of scientific information resources has been discussed in the paper. Analysis of software solutions, as well as, the conclusions as for the possibility of developing additional information arrays based on existing sources of scientific and scientometric information have been presented. The paper offers the approaches to storing scientometric information, the optimized methods of obtaining and processing data. That provides the ability to digitize publications to simplify searching and filtering scientific information and its further processing and replenishment of information arrays with a new data. The architectural templates have been analyzed and the Viper has been selected as the most suitable architectural template for the distribution of responsibilities and test coverage of the application. The choice of Swift programming language has been substantiated. Strengths and weaknesses of these technologies have been considered. The OS and Firebase data storage tool have been selected and discussed. The advantages of those technologies for the development of a mobile application have been listed. The purpose of the work is to create a mobile application for the operating system "iOS", version 11.0. The application must be a client that works with Firebase Cloud Firestore, which allows searching and filtering publications, as well as, adding and deleting records from Firebase Cloud Firestore for the administrators. Therefore it is necessary to implement the functionality that allows registering new and authorizing registered users. The object of the research is processing scientometric and scientific knowledge. The subject of research is the methods and tools of technology to automate the process of knowledge recording based on the scientific and scientometric information.
Active Disturbance Rejection Controller via Dynamic Weighted Mutant Pigeon-Inspired Optimization for UAV Close Formation Flight

The attitude controller design of the un-manned aerial vehicle (UAV) close formation control system is investigated in this paper. Since the attitude controller will be implemented on the trailing UAV to stabilize the attitude under the influence of the wake vortex, the attitude model of the trailing UAV is developed firstly. According to the developed attitude model, the attitude controller is designed using the active disturbance rejection control (ADRC). Considering the inefficiency of manually tuning ADRC parameters, the dynamic weighted mutant pigeon-inspired optimization (DWMPIO) is proposed to optimize the parameters. In comparison with the traditional PIO and the particle swarm optimization (PSO), the DWMPIO can converges to a better position. The simulation results show the DWMPIO can make the designed ADRC attitude controller realize the optimal performance. Under the influence of the wake vortex, the designed ADRC attitude controller has a stronger attitude stability in comparison with the proportional integral (PI) attitude controller.
Information Bottleneck Optimization of a Finite Bit Resolution Fast Fourier Transform

The trend towards larger bandwidths in mobile communications requires coarse quantization to obtain energy efficient analog-to-digital converters. The question is whether quantization and subsequent processing can be optimized with respect to relevant mutual information. Current standards rely on orthogonal frequency division multiplexing (OFD M) as air interface and require the implementation of an fast Fourier transform (FFT). Inspired by the efficient implementation of low density parity check (LDPC) decoders via lookup-tables optimized by the information bottleneck (IB) method, we suggest to approximate the computation of intermediate quantities inside the FFT with IB-optimized lookup-tables being designed offline. Consequently, the FFT only relies on the mapping quantization indices for which the flow of relevant information is optimized.
Generation of Unusual Plasma Discharge Video by Generative Adversarial Network

In nuclear fusion experiments in large helical device (LHD), a lot of videos containing the images of plasma discharge are recorded. An observation of the recorded images of plasma light emission can lead to a new discovery or help to optimize the operational parameters for the experiment. An unusual plasma discharge, which may cause damage to the device, is expected to be foreseen through a prediction method. Due to the shortage of videos having such unusual emissions, the generation of more videos having similar phenomenon is required. However, video generation is a very challenging issue as the videos should have not only similarity in features in the real one but also a plausibility in frame-by-frame transition, especially in the case of plasma discharges. Thus, this paper proposes a method to generate a video containing plasma light emission using generative adversarial network (GAN). It has been confirmed that the proposed generative model can produce a new video having plasma light emission with a very smooth frame transition.
MENINGKATKAN KETERLIBATAN AKADEMIK SELAMA PEMBELAJARAN DARING MELALUI BIMBINGAN KELOMPOK DENGAN METODE ADVERSITY QUOTIENT

The objectives of this research are: (1) To describe the application of group guidance with an adversity queent approach in increasing academic engagement during online learning. (2) Describe the increase in academic involvement during online learning after the implementation of group guidance with the adversity quetent approach. Academic involvement is an attitude that must be shown by all students of class XI Islamic Banking at SMK 1 Kudus by being actively involved in the learning process. Group guidance is an activity carried out by a group of people by utilizing group dynamics. Adversity Quotient is a person's ability to use his intelligence to direct, change his way of thinking and actions when facing obstacles and difficulties that can make it difficult for him. This research was conducted at SMK 1 Kudus. The research design uses guidance and counseling action research. Subjects were six students of class XI Islamic Banking. Data collection techniques using observation, and interviews. The data analysis used is descriptive quantitative data analysis. The conclusions of this study are as follows: (1) Implementation of group guidance with the adversity quotient method to increase academic involvement during online learning in class XI Islamic Banking SMK 1 Kudus in the first cycle obtained a score of 49% (less), in the second cycle it increased to 77% (Well). (2) Academic involvement during online learning for students of class XI Islamic Banking at SMK 1 Kudus has increased. This statement can be seen from the research progress, pre-cycle academic engagement scores during online learning are 38% (very poor), cycle I is 53% (poor), and cycle II is 81% (good).