Reviewerly/exHarmony huggingface dataset:
Registration and processing system of digital speckle images

Abstract In this paper, we discuss an application of the method of laser-speckle correlation for studying the blood coagulation process. A module for recording and processing speckle images based on a debugging kit for the Atxmega128A1 microcontroller has been developed. The results of testing the developed module as part of a laboratory setup based on a semiconductor laser using standard reagents are presented.
RANCANG BANGUN APLIKASI PENGENALAN BATIK TULIS PASEBAN BERBASIS ANDROID

There is a lot of useful information about batik culture, such as its history, the philosophical meaning of its motifs, to the development of the batik industry. However, knowledge about batik culture, especially in Paseban batik, is still poorly understood by the wider community, especially the Kuningan community itself. Based on the above background, the authors are interested in conducting research with the title "Application Design for Introduction to Android-Based Paseban Written Batik". Information systems are currently being developed using the WEB platform so as to increase ease of access. By taking advantage of these conditions, it is necessary to develop a method of disseminating information that provides batik knowledge that will be loaded on an Android-based mobile device. This study aims to increase knowledge and insight, instill a love of batik culture, and for the younger generation to continue to maintain and preserve this cultural heritage. The research of this batik material will be specified in Paseban Batik, which is batik produced from Cigugur Kuningan. Keywords : Android, WEB, Batik Tulis Paseban
A CSP-Based Approach for Managing the Dynamic Reconfiguration of Software Architecture

Software applications are composed of a set of interconnected software components running on different machines. Most of these applications have a dynamic nature and need to reconfigure structure and behavior at run-time. The dynamic reconfiguration of software is a problem that must be dealt with. Reconfiguring this kind of applications is a complicated task and risks to take software at an undesirable situation. In this paper, the authors present a solution whose objective is to provide a complete support for reconfiguring and formally verifying consistency of dynamic updates of software before performing them. The aim is to provide highly available systems with the ability to safely modify their structure and behavior at run-time. The proposed approach is based mainly on the use of the meta-model concept for reconfiguration structural checking, and the CSP language, refinement technique, and the FDR model checking tool for the verification of reconfiguration behavioral consistency. The authors have also developed a tool prototype that validates and implements their proposals.
Narration Generation for Cartoon Videos

Research on text generation from multimodal inputs has largely focused on static images, and less on video data. In this paper, we propose a new task, narration generation, that is complementing videos with narration texts that are to be interjected in several places. The narrations are part of the video and contribute to the storyline unfolding in it. Moreover, they are context-informed, since they include information appropriate for the timeframe of video they cover, and also, do not need to include every detail shown in input scenes, as a caption would. We collect a new dataset from the animated television series Peppa Pig. Furthermore, we formalize the task of narration generation as including two separate tasks, timing and content generation, and present a set of models on the new task.
Learning Reasoning Paths over Semantic Graphs for Video-grounded Dialogues

Compared to traditional visual question answering, video-grounded dialogues require additional reasoning over dialogue context to answer questions in a multi-turn setting. Previous approaches to video-grounded dialogues mostly use dialogue context as a simple text input without modelling the inherent information flows at the turn level. In this paper, we propose a novel framework of Reasoning Paths in Dialogue Context (PDC). PDC model discovers information flows among dialogue turns through a semantic graph constructed based on lexical components in each question and answer. PDC model then learns to predict reasoning paths over this semantic graph. Our path prediction model predicts a path from the current turn through past dialogue turns that contain additional visual cues to answer the current question. Our reasoning model sequentially processes both visual and textual information through this reasoning path and the propagated features are used to generate the answer. Our experimental results demonstrate the effectiveness of our method and provide additional insights on how models use semantic dependencies in a dialogue context to retrieve visual cues.
Experience in creating educational content for distance learning

In the current conditions of the coronaviral infection pandemic, in connection with the introduction of quarantine restrictive measures and regime of self-isolation, high educational institutions of the Republic of Kazakhstan switched to a distance learning format This article describes the experience of creating educational content for distance learning at the Semey Medical University of the Republic of Kazakhstan
Key methods of increasing motivation in teaching foreign languages

In the article there discussed the problem of increasing motivation as a condition for the training of a competent specialist today. Definitions of motivation are proposed. The possibility of creating motivation as a desire to perform a specific task is shown. Motivation is a significant factor for understanding the success or failure of any complex task. In the article there considered different types of motivation, appraisals previous studies about the role of motivation in language education as well.
Utilization of Electronic Medical Records for Monitoring The Health of Toddlers and Pregnant Women at Posyandu

The posyandu information system is a component of posyandu activities that produces data and information on services for child development processes and basic health services for pregnant women and community participation. The recording of all service activities for toddlers and elderly people at Posyandu Desa Plesan Nguter Sukoharjo is still written in a manual register, where the identities of toddlers or pregnant women who come repeatedly into the same register cause data duplication. Another problem that arose with manual recording was the illegibility of the cadres who filled in. Therefore, the posyandu in Plesan Nguter Sukoharjo village requires a web-based information system. This type of research is qualitative with descriptive research methods carried out by data collection methods of observation, interviews, and literature study using a cross sectional approach. The subjects in this study were cadres and midwives in Plesan Nguter Sukoharjo Village, while the objects studied were recording and data processing of toddlers and pregnant women. The information system includes data input for toddlers, weighing data for toddlers, data on child examination, data on pregnant women, data on examinations for pregnant women, and data from posyandu. The process of recording and processing data on toddlers and pregnant women at Posyandu Desa Plesan Nguter Sukoharjo is done manually, has weaknesses, for example in terms of data reporting. By improving the system used, from manual to computerized data processing will be easier.
ANALISIS PENERAPAN METODE DEVOPS PADA APLIKASI RESTORAN BERBASIS ANDROID

A restaurant is a place of business that is organized in the field of business organization by providing good service to customers in the form of food or drinks carried out professionally. Wey Wey Life Seafood as one of the big restaurants located in Batam City, which provides seafood foods. From the results of observations that have been made at the Wey Wey Life Seafood restaurant, where the process of ordering food and drinks is still done manually using stationery and paper in recording orders from customers. This is considered less efficient because it takes a long time to place an order. In this study, it seeks to provide a solution by facilitating customers in ordering food and beverages by designing an Android-based RestoApp application. This application is designed to make it easier for customers and restaurant waiters to make transactions for ordering food and beverages available at the Wey Wey Life Seafood restaurant. In this study, using the DevOps method to facilitate researchers in building Android-based RestoApp applications. The results of this study are in the form of an application that can be accessed via an Android smartphone. With the help of this application, it is hoped that it can facilitate restaurant users and providers in facilitating customers to place orders at the Wey Wey Life Seafood restaurant.
Smart technologies for fighting Pandemics: The techno- and human- driven approaches in controlling the virus transmission

How do governments in China and Western democracies differ in their technological response to control the transmission of the pandemic? Based on an analysis of academic papers, World Health Organization reports and newspapers, this research compares two opposing approaches, whereas the Chinese cities and government have adopted a techno-driven approach, Western governments have adopted a human-driven approach to control the transmission of Covid-19. The findings highlight that although the techno driven approach may be more productive to identify, isolate and quarantine infected individuals, it also results in the suppression and censoring the citizen views. It is further emphasized that human interaction with the technology is mediated by the political and institutional context in which the technologies are implemented. This paper contributes to literature by understanding the human-technology relationship, and offers five practical observations for controlling virus transmissions during pandemics.
The Development of Image Capturing System Applied in Shooting Simulator using LabVIEW

An electronically controlled M16 rifle simulator, integrated a control box and an infrared laser device had been successfully integrated to a shooting virtual reality as an all-in-one solution in this study. This system is shown to provide a flexible, cost-effective and safe environment. It is an effective educational tool used in defense industry to assist soldiers in shooting skill improvement, or provide players an immersive shooting experience in the virtual reality game industry. It is developed and tested for understanding its advantages and limitations. Interface image capturing and processing response time analysis has been performed. In the results of this study, the response time is one-tenth of a second. It is satisfactory in a real application.
오페라 ≪1945≫는 어떻게 작곡되었나?: 작곡가 최우정의 오페라 작곡기법 및 음악의 연출에 대한 해석

Uzong Choe’s opera ≪1945≫, which premiered in 2019, is regarded as a work that has left a significant mark on the 70th anniversary of the Korean creative opera. It is based on the power of the Libretto in Korean, which contains the lives and society of Koreans. This made the audience empathize and gain universality. However, due to the nature of the opera genre, ‘music’ is the most important thing. This paper examined the composer Uzong Choe’s opera composition techniques in three categories: the utilization of Leitmotiv, the music that directs dramatic elements, and quotation techniques and composition methods. As a result, Uzong Choe’s opera ≪1945≫ revealed that various musical materials existing as ‘fragmentation’ had a fluid ‘articulation’ relationship with each other and were composed in a ‘polyphony’ in vertical and horizontal terms.
Autonomic Computing: The Future Era of Technology

Abstract The increasing complexity of computer systems results in systems which are prone to errors and disruptions creating major problems for the user. In order to reduce the total cost of ownership and to cope with the rapidly growing complexity of integrating and managing today’s computer-based systems, autonomic computing was introduced by IBM in 2001. This has necessitated the investigation of an alternate paradigm for system and application design, which is based on strategies used by biological systems to deal with similar challenges–a vision that has been referred to as autonomic computing. Autonomic computing is a computer environment that can detect and adjust its system automatically to manage itself without the assistance of any human interaction. This paper introduces autonomic computing, a methodology that focuses on the management of system complexity through the use of methods providing for self-learning and self-healing operating systems. It also presents an introduction to autonomic computing, its characteristics and current research in autonomic computing. Keywords: Autonomic, biological, computing Cite this Article Kamini, Tejinder Pal Singh Brar. Autonomic Computing: The Future Era of Technology. Journal of Software Engineering Tools & Technology Trends. 2019; 6(1): 7–12p.
Robust W-GAN-Based Estimation Under Wasserstein Contamination

Robust estimation is an important problem in statistics which aims at providing a reasonable estimator when the data-generating distribution lies within an appropriately defined ball around an uncontaminated distribution. Although minimax rates of estimation have been established in recent years, many existing robust estimators with provably optimal convergence rates are also computationally intractable. In this paper, we study several estimation problems under a Wasserstein contamination model and present computationally tractable estimators motivated by generative adversarial networks (GANs). Specifically, we analyze properties of Wasserstein GAN-based estimators for location estimation, covariance matrix estimation, and linear regression and show that our proposed estimators are minimax optimal in many scenarios. Finally, we present numerical results which demonstrate the effectiveness of our estimators.
중학교 영어 디지털과 서책형 교과서의 말하기 과업 비교 분석

The purpose of this study is to compare the types of speaking tasks in digital and paper textbooks for first grade middle school students in Korea. Six digital and six paper textbooks were analyzed. A total of 214 middle school students took part in a survey of their use of speaking strategies while studying English textbooks. Thirty-five English teachers were also interviewed. The results reveled that among the types of speaking tasks, the frequency of role play was different between textbooks, in favor of digital textbooks. The students responded that they used more memory and cognitive strategies while using digital textbooks. Teachers mentioned that the classroom environment should be improved to utilize digital devices during the class. The findings suggest that digital textbooks should be skillfully designed by adding various speaking tasks and being equipped with up-to-date digital technologies, in order to allow learners to employ various learning strategies and enhance their speaking proficiency.
Privacy in Cloud Healthcare Data

In today’s rapidly evolving era of medical science, the privacy and security of electronic health records are given the most importance since digital data, which are preferably stored in a cloud environment, attract various hackers and intruders. In the healthcare sector, data analytics and market research are used by insurance agencies to study the pattern of claims submitted by customers or to study demographics of people to acquire new and more customers. Since healthcare data are highly confidential and vast in nature, users often store them in a cloud in encrypted form. The data privacy laws are essential in seeking answers to questions such as: Who owns the complete picture of the user? What risks are associated with situations of massive data leaks? To date, the privacy issues still exist since no stringent controls are in place to protect users’ sensitive data, especially in the healthcare sector, and privacy continues to be an important domain for discussion and further research.
Library: ScienceDirect: Finding Full-Text: Self-Service Accounts

VDOT has a unique approach for accessing full-text publications from ScienceDirect. This guide explains the two types of accounts that are available to VDOT patrons. Describes self-service accounts.
IMPACT OF ELECTRONIC INFORMATION RESOURCES USE BY UNDERGRADUATES: EXPERIENCES FROM USMAN DANFODIO UNIVERSITY IN SOKOTO

The study evaluated the use of electronic information resources by undergraduates in Usman Danfodio Universty, Sokoto. The study adopted a survey design with a study population of 822(Student’s registration record provided in the reader’s services section of the university library). The sample size was 164 undergraduate students who registered with the university libraries between 2017-2019 academic sessions of Usman Danfodio Universty, Sokoto the sample was selected based on Wimmer and Dominick’s pomular. The researcher adopted simple random technique. Data was analyzed using the SPSS software, frequency distribution and percentages. The findings revealed that most of the undergraduates of Usman Danfodio Universty, Sokoto have low level of awareness of the importance and use of electronic information resources in the library. The study therefore recommended that the management of Usman Danfodio Universty library, Sokoto should ensure that EIRs with adequate information and communication technology tools are subscribed to regularly as this will encourage undergraduates to constantly engage in EIRs usage to improve their academic performance.
Cultural Impact on Copyright Exceptions: Parody in Germany and Japan

The battleground between copyright protection and parody exceptions is not new. The US Supreme Court tested the fair use framework provided for under US copyright law in its well-known 1994 decision regarding a parody of Roy Orbison’s title song to the blockbuster movie Pretty Woman; arguably, no other single court decision had a similar impact on the copyright law treatment of parodies both in the US and internationally. The notion that the use of copyright-protected content in a parody should be generally permissible under copyright law has gained widespread traction across most jurisdictions. At the same time, the question of what exactly constitutes a parody varies from country to country and from culture to culture. This chapter provides an overview of the development of copyright exceptions related to parody under German and Japanese law, and highlights how a different tradition of parody can result in different copyright law interpretation.
Free Speech Jurisprudence in Japan

This chapter examines how foreign legal doctrine has affected constitutional judicial review in cases involving freedom of expression in Japan. Academics have studied free speech in the context of comparative law because the current constitutional law in Japan, enacted under the instruction of General Headquarters by United States, and the former Meiji Constitution were both influenced by the German Constitution. In the early years of the current Constitution, the Japanese Supreme Court took a ‘public interest’ approach, absent any constitutional standard. Some have proposed a change to this situation, recommending the introduction of a US-style constitutional standard. However, the Supreme Court has not taken that standard to heart. On the commencement of a new law school system in Japan, other scholars advocated the German ‘proportionality’ principle because they thought that it better suited to Japanese case law. However, detailed examination of that case law suggests that the Supreme Court took neither approach. In this chapter, the author seeks to reveal the true nature of the doctrine employed in the constitutional cases and to explore the issue of hate speech from the perspective of this controversy over free speech.
Yet Another Representation of Binary Decision Trees: A Mathematical Demonstration

A decision tree looks like a simple computational graph without cycles, where only the leaf nodes specify the output values and the non-terminals specify their tests or split conditions. From the numerical perspective, we express decision trees in the language of computational graph. We explicitly parameterize the test phase, traversal phase and prediction phase of decision trees based on the bitvectors of non-terminal nodes. As shown later, the decision tree is a shallow binary network in some sense. Especially, we introduce the bitvector matrix to implement the tree traversal in numerical approach, where the core is to convert the logical `AND' operation to arithmetic operations. And we apply this numerical representation to extend and unify diverse decision trees in concept.
An Analysis of the Compliance of the Structures of Relations of Objects of Classes on the Varieties of their Descriptions

The synthesis of latent features is considered in order to reduce the size of the space for describing objects of disjoint classes K1, K2. A condition is proposed for the sequential formation of feature sets X(h) I X(n), 2 ? h ? n for linear display of object descriptions from X(h) to R2. Latent features are synthesized from data obtained as a result of preprocessing the values of the initial features. Preprocessing is realized through normalization in [0,1] and data transformation that is invariant to the scales of feature measurements. The correspondence structures of objects in X(h) and R2 are investigated according to the results of data preprocessing and grouping. A measure of compliance of two structures of relations of objects in different features spaces is proposed. The measure of compliance is calculated by splitting the objects of classes into disjoint groups. When splitting into groups, the relation of connectedness of class objects by a defined set of hyper balls is used.
MPC-MPNet: Model-Predictive Motion Planning Networks for Fast, Near-Optimal Planning under Kinodynamic Constraints

Kinodynamic Motion Planning (KMP) is to find a robot motion subject to concurrent kinematics and dynamics constraints. To date, quite a few methods solve KMP problems and those that exist struggle to find near-optimal solutions and exhibit high computational complexity as the planning space dimensionality increases. To address these challenges, we present a scalable, imitation learning-based, Model-Predictive Motion Planning Networks framework that quickly finds near-optimal path solutions with worst-case theoretical guarantees under kinodynamic constraints for practical underactuated systems. Our framework introduces two algorithms built on a neural generator, discriminator, and a parallelizable Model Predictive Controller (MPC). The generator outputs various informed states towards the given target, and the discriminator selects the best possible subset from them for the extension. The MPC locally connects the selected informed states while satisfying the given constraints leading to feasible, near-optimal solutions. We evaluate our algorithms on a range of cluttered, kinodynamically constrained, and underactuated planning problems with results indicating significant improvements in computation times, path qualities, and success rates over existing methods.