Reviewerly/exHarmony huggingface dataset:
On the Number of Arithmetic Operations in NTT-based Polynomial Multiplication in Kyber and Dilithium Cryptosystems

National Institute of Standards and Technology (NIST) initiated a post-quantum standardization process in 2016, and as of July 2020, Round 3 candidates were announced. Among these candidates, Crystals-Kyber and Crystals-Dilithium are the most promising lattice-based key encapsulation mechanism (KEM) and signature algorithm that rely on the module learning with errors (Module-LWE) problem. In general, polynomial multiplication is one of the most time-consuming operations in Module-LWE based cryptosystems. There are several polynomial multiplication methods for multiplying two polynomials effectively. One of the most efficient methods is Number Theoretic Transform (NTT). This paper analyzes the number of arithmetic operations occupied in NTT multiplication for Kyber and Dilithium cryptosystems. The general formula on the number of multiplications and additions used in NTT operation for the lattice-based algorithms which have a ring structure similar to Kyber and Dilithium is given for <tex>$q &lt; 2^{w-1}$</tex> where <tex>$w$</tex> is the word size and <tex>$q$</tex> is the modulus. Also, cycle counts of arithmetic operations of Kyber and Dilithium are calculated on reference implementations to determine the relationship between our formulations and cycle counts.
Effect of Writing Instruction Using Self-regulated Strategies on the Experiential Writing of Student with Learning Disabilities

본 연구에서는 자기조절전략을 활용한 작문 교수가 학습장애 학생들의 생활문 쓰기 능력에 미치는 효과를 알아보고자 하였다. 쓰기학습장애를 가진 초등학교 고학년 학생 3명을 대상으로 대상자별 AB설계를 적용하여 실험을 실시하였다. ‘POW+WWW WHAT 2 HOW 2’ 및 ‘POW+C-SPACE’ 전략을 수정하여 ‘아쓰다(김민정, 김애화, 2013)’ 및 ‘인물 시장에는 사건들이 끝이 없는 느낌’ 전략을 개발하여 적용하였고, 작문 결과를 양적 및 질적평가로 나누어 평가하였다. 연구의 결과는 다음과 같다. 첫째, 자기조절전략을 활용한 작문 교수를 통하여 학생들의생활문에서 생활문 구성요소 수, 총 어절 수 및 총 문장 수가 유의하게 증가하였다. 둘째, 중재 결과 생활문의 내용, 조직, 표현 수준을 평가하는 질적 평가에서 높은 향상을 나타냈다. 셋째, 중재의 효과는 중재가 종료된 이후에도 유지되었다. 끝으로 연구의 제한점과 제언을 제시하였다.The purpose of this study was to investigate the effect of writing instruction using Self-regulated strategies on the ability of students with learning disabilities to write experiential writing. The experiment was conducted by applying the AB design for each subject to three elementary school students with learning disabilities. The strategies of ‘POW+WWW WHAT 2HOW 2’ and ‘POW+C-SPACE’ were revised to develop and apply ‘ (Minjeong Kim, Aehwa Kim, 2013)’ and ‘ ’, and the writing results were divided into quantitative and qualitative evaluations. The research results are as follows. First, the number of experiential writing components, total number of phrases, and total number of sentences in students’ experiential writing increased significantly through writing instruction using self-regulated strategies. Second, as a result of the intervention, it showed a high improvement in qualitative evaluation that evaluates the content, organization, and expression level of experiential sentences. Third, the effect of intervention was maintained even after the intervention was over. Finally, the limitations and suggestions of the study were presented.
Generation of octapartite entanglement by connecting two symmetric cascaded four-wave mixing processes with one linear beam splitter: publisher’s note

This publisher’s note corrects the spelling of the third author’s name in J. Opt. Soc. Am. B 39 , 619 ( 2022 ). JOBPDE 0740-3224 10.1364/JOSAB.440363
Malaysian Sign Language Translator for Mobile Application

The society often faces a communication barrier with the deaf and mute community due to the lack of sign language translators. Hand gestures are used as a sign language to communicate between the ordinary people and the deaf people. However, the existing way to learn sign language is ineffective and inconvenient. The number of mobile translator applications for the Malaysian Sign Language on the market is less. The proposed system contains a sign detector mechanism using Support Vector Machine (SVM) to detect and interpret Malaysian Sign Language. The software used in this project were IntelliJ IDEA and Android Studio. This project's development consists of four main phases: dataset acquisition, dataset trainer, shape classification, and sign recognition. Each character is tested ten times to measure the performance of the developed system. The application is performed using an Android smartphone and successfully tested with character A to Z in a normal light condition with a maximum distance of 0.7 m. The successfully testing rate of this developed system is 90%. This application allows people to easily communicate with the deaf community because it is user-friendly and does not require an internet connection.
A Study on the Humanities and Social Sciences-based Convergence Researchers in the HubCon Conference Using IPA Analysis - Focused on the 2021 HubCon Conference and Performance Presentation -

본 연구에서는 융합연구에 대한 사회적 관심이 증가하고 있는 현 시점에서 2021 HubCon 컨퍼런스 및 성과발표회의 중요도-만족도 분석을 통해 인문사회기반 융합연구자들이 어떻게 인식하는지 그 차이를 분석하고자 하였다. 경주에서 개최된 본 컨퍼런스에 참여한 융합연구 책임연구자, 공동연구자, 연구보조원 등을 대상으로 2011년 11월19일부터 20일까지 약 2일에 걸쳐 설문조사를 실시하였으며, 총 122부(99.2%)를 최종분석에 사용하였다. 본 연구의 결과를 살펴보면, 첫째, 대부분의 융합연구자들은 본 컨퍼런스에 대한 중요도와 만족도가 매우 높게 형성되어있는 것으로 나타났다. 둘째, IPA 분석결과 전체적인 역할 영역은 3사분면, 참여 영역과 세션별 발표 및 토론 영역은 2사분면에 위치하는 것으로 나타났다. 따라서 향후 컨퍼런스에서는 융합연구자들이 본 컨퍼런스를 통해 새 연구의 타당성을 확인하는데 도움이 될 수 있는 프로그램의 제공, 세션 구성, 강연 등을 제공하되, 현재 이슈가 되고 있는 주제나 트렌드를 적극 반영할 수 있는 행사로 거듭나야 할 것이며, 토론 시간 및 Q&A의 시간 보충 등연구자들의 건의사항을 수렴하여 개선된다면 보다 의미있는 컨퍼런스로 거듭날 수 있을 것으로 사료된다.The purpose of this study attempted to analyze the difference in how humanities and societybased convergence researchers perceive it through the importance-satisfaction analysis of the 2021 HubCon Conference and Performance Presentation at a time when social interest in convergence research is increasing. To carry out the study, a total of 123 questionnaires were collected from November 19 to 20, 2021, but only 122 were used for the analysis. The results of the study are as follows. First, most convergence researchers showed that the importance and satisfaction of this conference were very high. Second, as a result of IPA analysis, it was found that the overall role area was located in the third quadrant, and the participation area and the presentation and discussion area by session were located in the second quadrant. Therefore, programs, sessions, lectures, etc. that can help confirm the validity of the new study should be provided through this conference. Also, It should be reborn as a conference that can reflect the topics or trends that are currently becoming an issue. If suggestions are collected by supplementing the discussion time, Q&A time, it will be able to be reborn as a meaningful conference.
DE1-SoC FPGA Support for Human Posture Detection System

Detecting the human posture is one of the challenging problems in machine vision. However, with the advancement of deep learning technique, it has brought a significant progress specifically with the support of FPGA platform. Three stages are performed consists of deep learning pose detection construction based on TensorFlow framework of Convolutional Neural Network (CNN), perform testing the trained neural network, configuring the DE1-SoC board for USB camera interfacing and secure shell (SSH) setup for DE1-SoC and host computer interfacing in transferring the images. A study aims to evaluate the effectiveness according to these combinations for human pose estimation has been performed. Pre trained model based on ResNet and almost 83000 images from COCO dataset are used for training. Then, 50 random images from COCO dataset and 20 images which are captured from DE1-SoC platform are used for testing the network respectively. The proposed approach significantly demonstrating a promising performance with 98% able to detect the major key-points of human skeleton.
DESKRIPSI KELAYAKAN BUKU TEKS TEMA 6 CITA-CITAKU SUBTEMA 1 AKU DAN CITA-CITAKU SISWA KELAS IV SEKOLAH DASAR NEGERI 18 SUNGAI KAKAP

AbstractThis study aims to describe the feasibility of the 2013 SD/MI Curriculum Textbooks for fourth grade students with theme 6 My ideals Subtheme 1 I and my ideals according to Masnur Muslich's theory in terms of content assessment, presentation, linguistic and graphic aspects. This research is included in the descriptive type of qualitative research. Data collection techniques used in this study were interviews, observation and documentation. The qualitative data analysis technique used is the Miles and Hubermen interactive model. To test the credibility of the data on the results of the study using technical triangulation and source triangulation. The book under study is a 2013 SD/MI curriculum textbook for fourth grade students, theme 6 Sub-theme 1 I and my ideals, published by the Ministry of Education and Culture of the Republic of Indonesia in 2017. The results of this study indicate the assessment in the 2013 SD/Curriculum textbook. MI Student grade IV theme 6 My ideals Subtheme 1 Me and my ideals from the aspects of content feasibility, presentation feasibility, linguistic feasibility, and book graphic feasibility according to indicators to assess the feasibility of textbooks. the final score is 100. However, in terms of presentation feasibility, the examples of questions and learning activities are considered inappropriate because they do not contain examples of questions and in the glossary section there is no understanding and explanation of the terms used in the textbook with a final score 85. Then on the linguistic feasibility, the grammatical accuracy and spelling accuracy are assessed according to partly obtained a final score of 93. On the feasibility of the Graphics section the harmony of the layout was assessed in part with the final score of 97.Keywords : Description, textbook feasibility, thematic learning, BSNP
Особливості переживань мешканців тимчасово окупованих територій

International scientific conference «Innovative projects and programs on psychology, pedagogy and education» : conference proceedings, December 10–11, 2021. Riga, Latvia : “Baltija Publishing”, 2021. 212 pages.
Comparative Study of Two Parallel Algorithm K-Means and DBSCAN Clustering on Spark Platform

Recently, a wide diversity of clustering algorithms have been emerged, which makes it very difficult to decide which algorithm would be the most appropriate for a given filed and dataset. In the context of big data, this task becomes more complex. To examine datasets that become quickly so large and various we have to go beyond intuition and human analytical skills. In this paper, we conduct a comparative study between two wellknown clustering algorithms; DBSCAN and K-Means in a parallel and distributed environment using Spark framework. We mainly focus on the convergence time and cluster stability. The obtained results show that the two algorithms can scale well with large datasets, which makes it possible to answer the problem of the permanent increase of Big Data.
The Agenda of the Future

Since its establishment, the World Customs Organization has tried to be ahead of the eventual impacts that new industrial, trading, or technological developments could cause. In this chapter we introduce the agenda of the future of Customs, the use of blockchain, artificial intelligence, internet of things, biometrics, drones, 3D printing and intangibles.
Hardware Acceleration of Nonparametric Belief Propagation for Efficient Robot Manipulation

Probabilistic graphical models (PGMs) have been widely used in computer vision, robotics, and statistics. Generative inference algorithms used to solve PGMs, such as belief propagation (BP), involve integration over high-dimensional variables, which becomes computationally infeasible. Drawing inspiration from particle filters, nonparametric belief propagation (NBP) combines the efficiency of Monte-Carlo sampling to capture the belief space of hidden variables while preserving accuracy and algorithm robustness. In this poster presentation, we describe a novel method to accelerate an NBP algorithm in hardware and evaluate our approach on the 6 degree-of-freedom (DoF) articulated object pose estimation problem. Our two major contributions include 1) identifying three independent computation flows in the algorithm to effectively overlap the two main steps of the algorithm: belief update and message update, and 2) creating deeply pipelined processing units that allow for fine-grained parallelism, which helps to balance the workloads on different computation streams. Results from this study demonstrate that our design achieves both improved runtime and energy efficiency. In particular, we achieved 26X energy saving compared to running the algorithm on a Titan Xp GPU, and 10X runtime speedup and 14X energy saving compared to running on the Jetson AGX . We believe that our FPGA implementation can greatly improve particle-based sampling methods for real time applications.
Publication of the Whole Product Deemed Sufficient for Unregistered Design Protection of Its Parts

Publication of the Whole Product Deemed Sufficient for Unregistered Design Protection of Its Parts Get access GRUR International, ikac011, https://doi.org/10.1093/grurint/ikac011 Published: 08 February 2022
Bitcoin: Untitled

Initially, this was a personal project with the aim of understanding in detail how Bitcoin, that new system destined to revolutionise the digital industry, works. I was surprised to find that there seemed to be certain aspects to which the answers were incomplete, to say the least. My first instinct was to blame my own ignorance. Gradually, I added new concepts to my toolbox to better interpret those ideas that were eluding me. I studied material from conferences, expert panels and listened to all the gurus revered by the industry. However, I felt that I understood less and less. What puzzled me most about Bitcoin was that it seemed to be in a permanent process of repair. This is how I got into what seemed like a fictional novel. A story of betrayal and lies that obscured a world that boasted of offering a new paradigm in the way it worked. Finally, a new way of understanding Bitcoin presented itself to me, and at last, all doubts began to disappear. Along the way, I realised that nothing had truly been misunderstood. Neither had I misinterpreted nor were those original explanations simply mistakes. It could not be a coincidence that thirteen years after the launch of Bitcoin, its very code was literally and figuratively manipulated to represent something that it had not been, was not, and would never be.The information presented here is more than an academic paper, it is a moral duty, and it is addressed to those willing to listen. Never were the words of a wise old man truer: "Ignorance is not a right, but an abuse".
Classical Mechanics

We introduce the results of classical mechanics that we will need later, namely the notion of Hamiltonian flow, the conservation of energy, Liouville’s theorem and the time reversibility of the equations of motion.
The Direction of Media Literacy for KSL Learners Focusing on Improvement Measures through an Analysis of Textbooks -

이 연구는 학령기에 있는 KSL 한국어 학습자를 대상으로 미디어 리터러시 교육 방향을 제시하기 위해 교재를분석하여 개선점을 모색하고 있다. 인터넷 상용화와 스마트폰의 보급으로 미디어의 영향력은 날로 커지고 있다. 이제 미디어 환경은 일상적인 언어 환경이 되었다. 또한 미디어를 통해 누구나 쉽게 정보에 접근할 수 있게 되었고미디어를 직접 생산하고 공유할 수 있는 환경까지 조성되었다. 이러한 미디어 환경 속에서 정보를 비판적으로 분석하고 나아가 새롭게 창조할 수 있는 미디어 리터러시 능력이 매우 중요해졌다. 특히 한국 내 언어 사용 환경에 노출되어 미디어의 영향을 많이 받는 학령기 KSL 학습자에게 미디어 리터러시는 더욱 큰 중요성을 갖는다. 급변하는 상황 속에서도 교육적 발전을 이루기 위해서는 교육 방안에 대한 논의에 앞서 전체적 교육 방향에 대한 연구가 선행되어야 하다. 이에 본 연구는 거시적 관점에서 KSL 학습자 대상의 미디어 리터러시 교육 위한 교육 방향을모색하고자 하였다. 이를 위해 우선 KSL 학습자의 특성을 분석하고 미디어 리터러시 교육이 필요한 이유를 논의하였다. 이러한 학습자 특성을 반영하여 이들에게 필요한 미디어 리터러시 교육 내용 5단계를 제시하였다. 다음으로는 5단계의 미디어 리터러시 교육 내용이 실제로 얼마나 반영되어 있는지를 살펴보기 위해 현행 KSL 교재를 분석하였다. 그리고 교재 분석을 통해 문제점을 도출하여 개선점을 모색하고, 전체적인 교육 방향에 대해 논의하였다This study analyzed textbooks and examined methods to improve them in order to propose a direction for media literacy education for school-age KSL students. With the commercialization of the Internet and the widespread use of smartphones, the influence of media has been strengthening day by day. The media environment has become a daily linguistic one. Additionally anyone can easily access information through media, and an environment has been established in which anyone can create and share media on their own. In this media environment, media literacy is crucial as it helps critically analyze information, as well as create new information. It is especially crucial for school-aged KSL students, who can be highly influenced by media exposure to the language use environment in Korea. In a rapidly changing environment, research on the overall direction of education must be conducted first before the discussion over diverse educational methods is commenced. Therefore, this study sought to determine the trajectory of media literacy education for KSL learners from a macroscopic viewpoint. First the characteristics of KSL students were analyzed, followed by a discussion on the necessity of media literacy education. By reflecting the learners characteristics, the contents of media literacy education for them were suggested in five steps. The KSL textbooks currently in use were analyzed for the investigation into the actual reflection of this five-step media literacy education. Some issue were revealed through the analysis; their solutions were examined, and the overall direction of education was discussed.
Texture image retrieval based on statistical modeling of all subbands in the complex transform domain

Aiming at the problem of imperfect utilization of subband statistical information in multi-scale texture image retrieval, a texture image retrieval method based on statistical modeling of all subband coefficients in the dual-tree complex wavelet transform domain is proposed. Firstly, the low-frequency subband coefficients, the high-frequency subband amplitude coefficients, and the high-frequency subband relative phase coefficients are modeled as mixed Gaussian distribution, Weibull distribution, and wrapped Cauchy distribution, respectively. Then, the model parameters are estimated by the expectation-maximization algorithm and the maximum likelihood method respectively, and the closed-form Cauchy-Schwarz divergence and Kullback-Leibler divergence are used as similarity measures for retrieval. Finally, the simulation experiment was carried out in two standard texture image libraries of Vistex and Brodatz. Experimental results show that the method proposed in this paper has better retrieval performance than existing methods.
Cloud-WSDL: Making WSDL Suitable for Cloud Computing

Several approaches have been proposed to describe services in a rich and generic manner (such as WSDL, OWL-S, WSMO, and SAWSDL). However, current approaches remain inappropriate for cloud computing since: 1) they lack in a way or another semantic or business aspect, 2) they cannot fully cope with non-functional properties, 3) they are unable to cover all kinds of services (such as SaaS, PaaS, IaaS). Despite the existence of several attempts which have tried to extent existing studies, the problem remains open. In this paper, we propose Cloud-WSDL, a new description model aligned with WSDL language, the most popular language, to make it more suitable for describing cloud services. The idea is to enhance WSDL description with new functional, non-functional and cloud features so to cope with many aspects (technical, operational, business, semantic and contextual). The proposed extension ensures a high interoperability between services belonging to multiple heterogeneous clouds, and supports all the kinds of cloud services (SaaS, PaaS, and IaaS). To do that, we rely on MDA principle to extent WSDL metamodel through several metamodel transformation. The extension process begins by transforming WSDL metamodel into Cloud-WSDL metamodel, thus we obtain a syntactic Cloud-WSDL extension. After that, as a second step, the produced model is transformed into an OWL-S ontology to offer a semantic Cloud-WSDL extension.
Setting up a Checkpoint for Research on the Prevalence of Journal Data Policies: A Systematic Review

Openly sharing research data helps ensure research transparency and reproducibility, thus advancing scientific discoveries. As a pivotal player in the scholarly publishing ecosystem, more and more journals adopt data policies to encourage data sharing. Many previous studies have investigated the prevalence of journal data policies (JDPs). However, prior work usually focuses on the policy prevalence in certain disciplines at a specific time. To provide a comprehensive understanding of how JDPs have evolved across scientific areas over time, a systematic literature review was conducted. This study takes a content analysis approach to review 42 empirical studies that examine the prevalence of JDPs and their respective policy emphases. An upward trend was observed in the proportion of journals having data policies over the past two decades. The present study also reveals the policy emphases repeatedly discussed in the literature such as policy strength and suggested data sharing methods. The coding results and a reusable coding frame were made publicly available as a data package via the Open Science Framework (OSF) platform.
Safety Application Platform of Energy Production Surveillance Based on Data Flow

With the development of urbanization, the social demand for energy is increasing. The safety production monitoring of electric power has always been an important issue related to the national economy and people’s livelihood. Thanks to deep learning technology, a large number of monitoring and computer vision analysis algorithms have begun to popularize, but only in some simple scenes, or only after investigation and evidence collection. Due to the lack of training samples, the traditional machine learning method cannot be used to train the generative model in hazard situations. Besides, it is a pressure and challenge to the calculation capacity, bandwidth and storage of the system. This paper proposes a platform level solution based on data flow, which can use a large number of cost-effective general-purpose devices to form a cluster, and adjust the task load of each computing unit through software level resource scheduling. The equipment adopts 2U general specification, which can provide better heat dissipation and improve the cooling efficiency of the cluster. At present, the system has been deployed in several pilot projects of the State Grid. It uses LSTM algorithm to establish the contour with normal data training, and uses the deviation of 12.5% as the threshold to identify the abnormal scene. It can accurately identify the obvious suspected abnormal behavior with 98.6% and push it to the operation and maintenance personnel for secondary confirmation.