Reviewerly/exHarmony huggingface dataset:
Learning-driven Spatio-temporal Feature Extraction for Violence Detection in IoT Environments

With the increasing growth of security concerns, the usage of surveillance cameras is also extending rapidly. Thus, the research on automatic violence detection from this surveillance footage is compelling. On the other hand, deep learning (DL) models have achieved satisfying accuracy in violence detection. However, DL models suffer from higher computational cost with a larger memory footprint. Therefore, such models become inappropriate in real-world applications, such as Internet of Things (IoT)-based systems. The architectures of existing approaches are also inefficient for spatial and temporal feature extractions. Considering these challenges, this article presents a novel architecture for violence detection, named Dual Spatio-temporal Convolutional Network (DSTCN). The proposed model extracts temporal and spatial information by 1D, 2D, and 3D convolutional neural networks (CNNs) from RGB frames. Though this model combines multi-dimensional CNNs, it remains lightweight. Due to the low channel capacity, the model learns to extract meaningful spatial and temporal information. Through simulation results, we demonstrate that our model achieves the accuracy of 86.0% on the largest violence detection benchmark dataset while keeping the low complexity. As a result, maintaining a balanced mix of accuracy, memory usage, and processing time, the proposed system becomes ideal for IoT-based surveillance systems.
Developing Learning Material Model for English for Specific Purpose (ESP) in Accounting Department of Riau University

The confusion of lecturers in teaching English with specific and suitable material for students who choose majors other than the English department is the main problem mostly encountered found by the writers is the basic reason for conducting this research. The main purpose of having this article is to fill the absence of material provided for students in Accounting Department in Riau University. Through descriptive methods, qualitative approaches and instruments used in the form of a close-ended questionnaire in which the form of questions refer to the need analysis proposed by Hutchinson &amp; Water (necessities, wants, and lacks) of the students, initialized and complemented with their latest English language level and an adaptation questionnaire from Adnan was researched as well. The data was obtained from a number of students majoring in Accounting for academic year of 2020/2021 class E at the Faculty of Economics, Riau University which were converted to frequency and rounded to a percentage. Dominated by students who have basic English skills, the students have various necessities, wants, and lacks in learning English. Eventually based on the finding, a proposed material model was framed.
THE APPLICATION OF VISUAL MAPPING AS A NEW MEDIA TO SUPPORT THE ATMOSPHERE AND AMBIANCE IN MUSIC EVENTS

ABSTRACT &#x0D; So many music shows are held in Indonesia. Music shows are now also decorated by Video background or known as Visual Mapping. Visual Mapping is a new medium on the stage. This makes the writer want to make an observation on the atmosphere and ambiance provided by a Visual Mapping on a music event. Qualitative methods with observative techniques and interviews to obtain data and information needed to be used as a basis for data collection. The writer expects that visual mapping observation will be able to provide an explanation regarding visual mapping as a new media that provides an atmosphere &amp; ambiance as well as a new experience for visitors.&#x0D; &#x0D; Keyword: Music Event, Motion Graphics, Video Mapping, Ambience, Media.
Object segmentation in cluttered environment based on gaze tracing and gaze blinking

Abstract People with disabilities, such as patients with motor paralysis conditions, lack independence and cannot move most parts of their bodies except for their eyes. Supportive robot technology is highly beneficial in supporting these types of patients. We propose a gaze-informed location-based (or gaze-based) object segmentation, which is a core module of successful patient-robot interaction in an object-search task (i.e., a situation when a robot has to search for and deliver a target object to the patient). We have introduced the concepts of gaze tracing (GT) and gaze blinking (GB), which are integrated into our proposed object segmentation technique, to yield the benefit of an accurate visual segmentation of unknown objects in a complex scene. Gaze tracing information can be used as a clue as to where the target object is located in a scene. Then, gaze blinking can be used to confirm the position of the target object. The effectiveness of our proposed method has been demonstrated using a humanoid robot in experiments with different types of highly cluttered scenes. Based on the limited gaze guidance from the user, we achieved an 85% F-score of unknown object segmentation in an unknown environment.
An improved Hibbard interpolation algorithm based on edge judgement

Traditional digital cameras use a Bayer array and image interpolation approach to restore a full-colour image. But there is only one-color sampling on each pixel, and the restoration of other colours on each pixel needs to be achieved through the CFA interpolation algorithms. Most algorithms have some distortions, including Zipper Effect, moiré, false color, etc. For solving the problems, we proposed a novel algorithm for color image interpolation. This algorithm is based on the Hibbard algorithm and is leveraged for edge judgement. Furthermore, the algorithm involves two successive steps. The first step is to determine the direction of the edge by judging the difference in each direction. In contrast, the second step uses subsequent processing methods to improve the recovery effect of pictures. Experimental results show that compared with the Hibbard algorithm, the algorithm we proposed in this paper performs better under multiple indicators on image processing tasks.
Mass balance of complementary metasomatic processes using isocon analysis

This study develops a method to estimate the redistribution of elements during several associated metasomatic processes simultaneously involved in the formation of a geological complex. The method is based on classical mass balancing using isocon analysis. The proposed approach is applicable if geological prerequisites indicate that (a) the metasomatic rocks inherited some components (x, y, etc.) from one of the earlier rocks of the studied complex; (b) these components have been transported by a fluid; and (c) this saturated fluid has produced several varieties of metasomatic rocks rich in components x, y, etc. In the case of the specified background, the proposed method estimates the mass proportions between the source rock and the varieties of the resulting metasomatic rocks. We present the geological profile of the processes to which the proposed method is applicable, the mathematical model of the method, examples of the application and interpretation of the results, and geological criteria to verify the obtained model results. In brief,•This study introduces a method for calculating the mass proportions between the source rock and metasomatic rocks formed from the material remobilized from the source rock;•The paper considers the applicability limits of the method, exemplifies the interpretation of the results, and shows the methods for monitoring the correctness of these results.
Actions Selection During a Mobile Robot Navigation for the Autonomous Recharging Problem

The use of mobile robots has increased for its application in various areas such as supply chains, factories, cleaning, disinfection, medical assistance, search, and exploration. It is a fact that most of these robots, if not all, use batteries to power themselves. During a mobile robot task execution, the battery's electric charge tends to deplete as a function of the energy load demands, which would cause the robot to shut down if the discharge is critical, leaving its task inconclusive. Therefore, it is of utmost importance that the robot learns when to charge its batteries, avoiding turning off. This work shows a reactive navigation scheme for a mobile robot that integrates a module for battery-level monitoring. A robot moves from a starting point to a destination according to the battery level. During the navigation, the robot decides when to change the course toward a battery charging station. This paper presents a rules-based reinforcement learning architecture with three entries; these entries correspond to the robot's battery level, the distance to the destination, and the distance to the battery charging station. According to the simulations, the robot learns to select an appropriate action to accomplish its task.
HAND GESTURE RECOGNITION IN REAL-TIME

Hand gesture is language through which normal people can communicate with deaf and dumb people. Hand gesture recognition detects the hand pose and converts it to the corresponding alphabet or sentence. In past years it received great attention from society because of its application. It uses machine learning algorithms. Hand gesture recognition is a great application of human computer interaction. An emerging research field that is based on human centered computing aims to understand human gestures and integrate users and their social context with computer systems. One of the unique and challenging applications in this framework is to collect information about human dynamic gestures. Keywords: Tensor Flow, Machine learning, React js, handmark model, media pipeline
Upcoming Meetings

Artificial OrgansVolume 45, Issue 10 p. 1258-1259 UPCOMING MEETING Upcoming Meetings First published: 12 September 2021 https://doi.org/10.1111/aor.14054Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume45, Issue10October 2021Pages 1258-1259 RelatedInformation
Application of Artificial Neural Network Method as A Detection of Blood Fat Disorders in Images of Complete Blood Examination

Based on various epidemiological studies, it is stated that blood lipids are the main risk factor for atherosclerosis that leads to coronary heart disease. In patients with blood lipid disorders, red blood cells undergo deformability so that their shape is flatter than normal red blood cells, which are round. The research entitled Application of Artificial Neural Network Method as Detection of Blood Fat Abnormalities in Image of Complete Blood Examination Results was conducted to help facilitate laboratory examinations. This research hopes that it will provide appropriate early detection to support the expert diagnosis. This research consists of two stages. The first stage is digital image processing to obtain area, perimeter, and eccentricity features. These three features will be used as input to the Backpropagation Neural Network program as the second stage. At this stage, blood lipid abnormalities are detected from features that have been obtained from image processing. The accuracy of detecting blood lipid abnormalities with ANN Backpropagation is 85%.
Real-time Vehicle Surveillance System Based on Image Processing and Short Message Service

This paper proposes a real-time vehicle surveillance system based on image processing approach tailored with short message service. A background subtraction, color balancing, chain code based shape detection, and blob filtering are used to detect suspicious moving human around the parked vehicle. Once detected, the developed system will generate a warning notification to the owner by sending a short message to his mobile phone. The current frame of video image will also be stored and be sent to the owner e-mail for further checking and investigation. Last stored image will be displayed in a centralized monitoring website, where the status of the vehicle also can be monitored at the same time. When necessary, the stored images can be used during investigation process to assist the authority to take further legal actions.
A Brief Appraisal of Blockchain-Assisted Secured Healthcare

Being endowed with a data large handling capacity as well as computational analysis of modern computing systems enabled by the Internet of Things (IoT), the healthcare sector, driven by these developments, has undergone a radical change. However, this smart healthcare sector is consequently laced with shortfalls such as information security and privacy breaches which require a thorough overhaul. Here, through this chapter, we will touch upon the security and privacy concerns of healthcare data using blockchain technology. Apart from this, the concept of smart contracts, which can perform advance level scripting to create a blockchain network to provide a platform for the development of decentralized applications, will also be discussed.
Applications of Mining ETDs

Join us for ETD2021 (Electronic Theses and Dissertations) Conference in November 2021 in the United Arab Emirates. Our theme, ‘Open scholarship in a post-pandemic world’ addresses the enhanced need for discoverability of research findings in a virtual world. Since the global impact of the COVID-19 pandemic has constrained international travel and mobility, we have all come to rely on working in the virtual world. These developments have merely accelerated the existing trends towards more electronic and digital repositories. Since 1991, the Networked Digital Libraries of Theses and Dissertations (NDLTD) have contributed to research collaboration by identifying and aggregating digital repositories of theses and dissertations as a previously fugitive class of research resources.
School Community Remote Education Readiness Assessment Framework

The continuity of education services during the Covid-19 pandemic has made clear that ICT (Information and Communication Technologies) is essential to achieve (even if partially) curricular goals with continuing isolation and confinement. Schools administrators need information on capability gaps regarding access, technology know-how, connectivity, and infrastructure, not just for each school but also for the community that it serves. Several models have been proposed to evaluate ICT impact on remote education, but none assess readiness and find gaps at specific schools and communities. This article describes School Community Remote Education Readiness Assessment Framework (SCRE-RAF), structured as a capability maturity model, geared to identify and measure capability gaps and derive improvement roadmaps for specific school communities. It defines four maturity levels (Emerging, Application, Integration, Transformation); eight Domain Areas (KDA), namely ICT skills, Instructional Design, Infrastructure, Connectivity, Teaching Processes, Innovation Policies, Administration and Resources, and Learner-Oriented Services; and 17 Key Process Indicators (KPI) with their capability levels. SCRE-RAF’s structure and KPIs have been assessed though a survey to grade school teachers at a Chilean school network; all proposed KPI’s had relevance agreement of 80% or higher from surveyed teachers, with highest agreement for ICT skills and the lowest for Student-Teacher Ratio. SCRE-RAF will now be deployed in a broader pilot to assess a small number of schools, and its results will be incorporated before deploying to larger school districts.
LOGIC AND POETRY: THE CONTIGUITY OF THE CREATIVE WORLDS OF N. A. VASILIEV IN THE BACKGROUND OF LIFE CIRCUMSTANCES

The complexity of the structure and the varieties of the shades of the theme of the relationship between scientific and artistic creativity presented by us in the article the amazing “destiny of ideas” within the framework of modern – non-classical (non-aristotelian) logic. Nikolai Alexandrovich Vasiliev (1880-1940) was a versatile personality, but two aspects of his work deserve special attention – the poetry in the style of symbolism, which he was engaged in his youth, and the logical studies that allow him to be considered one of the founders of non-classical logic. Despite the difference in the degree of significance of the N. Vasiliev’s poetic and logical heritage, it is easy to see that it is in the poetry that the future logical ideas are first formed. The otherworld, the imaginary worlds are a characteristic feature of the poetry of symbolism. The creative collision of N. Vasiliev lies in the fact that in his case the poet anticipates logician. In the article “Logic and Metalogic” he declares that the classical (aristotelian) logic is not the only one, that the types of reasoning and argumentation, that is, the logical systems depend on the different preconditions. These preconditions are associated with those diverse worlds, with those different realities on which the reasoning is superimposed. The cognitive construct playing the role of “reality” loses its the status of the invariant for various logics, it can vary, which does not mean the loss of the unity of the foundations of rationality, on the contrary, it is the acquisition of the arsenal of the intellectual tools with rich possibilities for constructing a variety of rational interpretations. The life of N. Vasiliev turned out to be full of the unfinished projects, the troubles, because of its inconsistency, it looks tragic. But it was the logical ideas ahead of their time, among which the idea of the possibility strictly logically, and therefore non-contradictory to think contradictory worlds, gave N. Vasiliev the “registrate in eternity”.
A Study on the Effect of Teacher Repetition on Beginning Level Korean Class: Based on interaction between teacher and learners

This study considers repetition a meaningful process in teacher-student interaction and analyzes the conversation between them in beginning level Korean class. Also, this study classifies the act of repetition into five types and analyzes the effect and function of each type. As a result of the study, the five types of repetition are ‘repetition for emphasis’, ‘repetition for connection between presentation and practice’, ‘repetition for group response’, ‘repetition for understanding’, and ‘repetition for implying learner’s error and inducing self-modification’. These acts provided evidence that the teacher makes the choice of utilizing the repetition strategy. The teacher’s repetition is not just for emphasis or a meaningless act, but it is a strategy to strengthen the interaction with learners. Therefore, this study is significant in that it laid a strong foundation for repetition research in the Korean education field. Also, this study considers repetition more meaningful and active means of interaction in teaching Korean than the previous studies. I hope that teachers could recognize the types and functions of their repetition and actively utilize it based on this study. (Sookmyung Women’s University)
FEATURES OF THE ORGANIZATION OF ONLINE EVENTS IN THE FIELD OF CULTURE

On the basis of the factual apparatus, the authors tried to assess the effectiveness of modern approaches in improving communications with the target audience of cultural institutions. The special role of digitalization in the sphere of culture and art is emphasized, which allowed organizations to adapt their activities and switch to online mode of operation in the context of a pandemic. The authors consider the use of new creative forms of communication, such as online exhibitions, webinars, master classes, etc., to be a feature of modern formats of work with the target audience of cultural institutions.
SCIENTIFIC EDUCATION IN THE COORDINATES OF PHILOSOPHY

The inseparable connection and creative interaction between science and philosophy in the course of their historical development is substantiated. Seven binary-additional metaphysical programs of Antiquity, which defined the main areas of scientific and educational activity in the future, stand out.
Re-Evaluating Triage in International Justice during COVID-19 – Complying with the Rule of Law?

Abstract This article addresses the challenges (and responses thereto) for those international institutions devoted to mandatory monitoring the individuals’ protection of fundamental rights during and after the COVID pandemic. It covers the practice of several of the main regional (European, Inter-American and African) judicial and quasi-judicial human rights bodies in a comparative overview with the UN human rights monitoring bodies and the International Criminal Court. The interesting medical metaphor of ‘triage’ (i.e., designing a system of priorities to maximize impact, during an emergency) is used to discuss the measures taken to preserve the rule of law, both in their internal functioning as well as in promoting the rule of law within national legal orders when monitoring the States’ compliance with international human rights obligations and guidelines about COVID-19. While overall, procedures in the different bodies were developed to ensure that the rule of law is maintained, which makes it easier to respond to similar crises in the future, the pandemic also sheds light on the need to revisit some substantive concepts in human rights law.
A Design for Software Management Architecture and Software Management Information System in Time of Open Source

Open source software can be modified, invoked, distributed, etc. within the scope of license authorization. Open source licenses are authorized in various ways, and there are risks of improper citation or misquote, authorized contagion or forced open source, patent defense or patent decoy, export control or weak autonomous controllability, code quality and security issues, etc. To control the risks and challenges, we design software management architecture that can meet both open source and closed source software, which is based on Multi-dimensional management architecture including following dimensions: Life Cycle, Organizational, construction, Technical control, Industry and Ecological. We also develop software management information system, and use technology to enforce management. The structure of software management information system including following layers, the business layer, the application layer, the data layer and the technical layer. There is a need in meeting operational compliance requirements. In order to meet regulation need, there are following parts of risk management which are audited: risk control planning, risk identification, risk analysis, risk Response, risk Monitoring.
Inferring Clauses and Formulas in Max-SAT

In this paper, we are interested in proof systems for Max-SAT and particularly in the construction of Max-SAT equivalence-preserving transformations to infer information from a given formula. To this end, we introduce the notion of explainability and we provide a characterization for explainable clauses and formulas. Furthermore, we introduce a new proof system, called Explanation Calculus (ExC) and composed of two rules: symmetric cut and expansion. We study the relation between ExC and several existing proof systems. Then, we introduce a new algorithm, called explanation algorithm, able to construct an explanation in ExC for any clause or refute its explainability and we extend it for formula explanations. Finally, we use our results on explainability to provide proofs for the Max-SAT problem with a new bound on the number of inference steps in the proof, improving the bound obtained with the Max-SAT resolution calculus.
Rock Structure Explains Slow Seismic Waves

New findings contrast with a prevailing hypothesis for low seismic velocity in subduction zones.