Reviewerly/exHarmony huggingface dataset:
Arts Education Within The Mayong Pottery Artisan Families: A Local Art Conservation Strategy

This study aims to examine the problem of applying the pattern of traditional arts education in the Mayong ceramic artisan family seen as a strategy in conserving local art. This research used a qualitative-ethnographic approach. The research objectives cover aspects of cultural values of dance, human resources, and the environment and their changes that are systemically related functionally in the art education process in the family sphere. Research data were collected through participatory observation techniques, in-depth interviews, and documentation—validation of data through source triangulation and thick description. Data analysis techniques were carried out in an interactive cycle that moves between the processes of reduction, presentation, and verification of data. The results of the study show the following. First, there are cultural values in the culture of the Mayong ceramic artisan family community, which are oriented to the view of the importance of the obligation to inherit their local arts. Second, human resources, cultural values, and the natural environment show the interrelationships in the formation of art education patterns in the family. Third, as a conservation strategy, the pattern of art education that takes place within the family has succeeded in preserving and developing local ceramic arts. Other local art artisan communities can adopt suggestions that can be put forward in this informal art education pattern in efforts to conserve regional cultural heritage.
Special Processors Simulation for Forming and Digital Processing of Error-Correcting Codes in Computer Systems

The methods of digital and pulse signal modulation in modern computer systems of data transmission are analysed. Process of forming non-redundant coding that use the errors detection and correction in the Galois basis are offered. Structures of special processors for forming signal correcting codes are built. Working algorithms for proposed coding methods are developed and their software implementation are offered. Circuit design of Galois code sequence generator is implemented. Work simulation and synthesis on FPGA of Xilinx are performed.
Research on Production of Stereoscopic UAV Aerial Photography Based on Optical Flow Image Migration Technology

In this paper, a method to convert aerial image from the unmanned aerial vehicle (UAV) to stereo images based on optical flow image migration technology is proposed. First, the disparity map is generated by optical flow algorithm in image matching. Then the UAV images are mapped to virtual view images based on the disparity map. The virtual view images can be optimized by image segmentation algorithm. Finally, the virtual view images and the original images will be spliced to side-by-side 3D images. The experimental results show that the system can convert the 2D UAV images into 3D stereo pairs.
Interactive Planning-Based Hypothesis Generation with LTS+ +.

We present LTS++, an interactive development environment for planning-based hypothesis generation in applications with unreliable observations.
Effect of repeated annealing on the synthetic and electrical properties of Bi2-(x+y)PbxAgy Sr2Ca2Cu3O10+δ electrically superconductor

This research involved the preparation of Bi2-(x+y)PbxAgy Sr2Ca2Cu3O10+δ with different concentrations of (x,y) which are (x=y=0)(x=0.05,y=0.15)(x=y=0.1)(x=0.15,y=0.05) by the method of solid state reaction under hydrostatic pressure of 8 ton /cm2 and at annealing temperature of 1123K in presence of sufficient amount of oxygen.&#x0D; In order to obtain an increase in the regularity of crystalline composite and also to obtain the best critical temperature, the annealing was repeated on these samples at 723K.&#x0D; After X-ray diffraction (XRD) test to know how effective the partial substitution and repeated annealing is, it was obvious that the crystalline composite was of tetragonal type and the best substitution ratio is when (x=0.05,y=0.15) where the values of lattice dimensions were a=b=5.4056°A, c=37.4226°A, after repeating the annealing process on these samples ,the crystalline composite kept its type and with conspicuous increase in the length of c-axis, but the best sample after repeating the annealing was at ratio of (x=y=0.1) where the values of lattice dimensions became a=b=5.4030°A,c=37.5230°A when it was a=b=5.4011°A,c=37.0660°A before repeating the annealing .When the electrical properties of these samples was studied ,we noticed that the oxygen has an important role in increasing the critical temperature and we obtained the best critical temperature Tc=144K and that’s when x=0.05,y=0.15 while after repeating the annealing it was Tc=146K and that’s when x=y=0.1 and it was Tc=136K before repeating the annealin&#x0D; &#x0D; http://dx.doi.org/10.25130/tjps.24.2019.073&#x0D;
Semantic Framework and Methodology for Cultural Heritage Data Integration Fore-Walkthrough

The past historic monuments, arts, architecture, literature, sculptures depicts the growth of civilization and becomes a valuable resources representing the country culture. Every nation is pride of their cultural heritage. The developments evolved in the long years has resulted in the loss of cultural heritage values which was destroyed, broken or stolen. Nations Culture and Heritage has to be passed to the coming generations to make them understand the values of the heritage objects and sites. Digitization of cultural heritage using the web technology will help to pass the pride and values of cultural heritage. In this paper a semantic web framework is designed to integrate the cultural heritage components of a temple for enabling e-walkthrough to reach large number of users through Linked Data. The framework is designed to represent the PerurPatteswarar temple a heritage site of Coimbatore, Tamilnadu of 12th century. The conceptual rendering of the proposed work is created using ontology and rendered as RDF triple store and viewed through ainteractive web user interface accessible through SPARQL endpoints.
Adventures in deep learning geometry

Deep learning models are pervasive for a multitude of tasks, but the complexity of these models can limit interpretation and inhibit trust. For a classification task, we investigate the induced relationships between the class conditioned data distributions, and geometrically compare/contrast the data with the deep learning models' output weight vectors. These geometric relationships are examined across models as a function of dense hidden layer width. Additionally, we geometrically characterize perturbation-based adversarial examples with respect to the deep learning model.
Integral Platform to control and monitoring of potable water service in rural communities

The internet of things IoT, is one of the technological trends that mark a watershed in the way we control and monitor the activities of our daily lives, from work to home. Its applicability is relevant in improving the quality of life of people. In this sense, this paper presents the results obtained from the implementation of IoT technologies applied to the improvement of the operation of a hydraulic pumping system in a rural community. The methodology used is Prototype oriented to obtain an analysis of requirements, the design of the application through UML diagrams and later the development of the integral platform that includes a Web application, a mobile application and an electronic module. The results obtained show that the platform developed as well as the sensors used are feasible and viable to control the pump of the water supply of the community of Huixtitla, Veracruz, since it favors the reduction of the cost of the automation of the system, in the case of Users facilitate remote control and monitoring thanks to the mobile application and at the national level it is an original product in its category and applicability.
Interfacing with Kotlin and Swift

In Chapter 3 , “Tooling Up,” we introduced the tools we will need for developing Android and iOS applications (apps). We introduced small projects to get some Assembly Language code running on such devices. In this chapter, we will look at how Assembly Language is more realistically incorporated into a smartphone or tablet app. We will first develop an app in Android, programming in Kotlin to demonstrate incorporating some Assembly Language, and then we will do the same thing using Swift for iOS.
Abusive Language Detection Using Auto-Machine Learning for Multiple Languages

News outlets and social media platforms struggle to find efficient and effective methods of moderating abusive online comments and posts. These comments can be extremely harmful to both users and businesses. Thus, abusive comment moderation is vital for the online comment section. Many companies do not have enough people to moderate comments manually; therefore, they need semi-automated comment moderation tools. Through this research, we explore the answer to the question of how Auto-Machine Learning can categorize and detect abusive English and German tweets. To begin, we will select data sets with multiple class labels, and we will develop different Auto-Machine Learning algorithms to see if a particular model fits the data sets well. To our knowledge, the use of Auto-Machine Learning in comment moderation remains untouched. Moreover, we will explore the approach of Auto-Machine Learning in comment moderation to assist the steps of processing the data sets, selecting the models, and efficiently detecting abusive language.
Comparing the Quality of Highly Realistic Digital Humans in 3DoF and 6DoF: A Volumetric Video Case Study

Virtual Reality (VR) and Augmented Reality (AR) applications have seen a drastic increase in commercial popularity. Different representations have been used to create 3D reconstructions for AR and VR. Point clouds are one such representation characterized by their simplicity and versatility, making them suitable for real time applications, such as reconstructing humans for social virtual reality. In this study, we evaluate how the visual quality of digital humans, represented using point clouds, is affected by compression distortions. We compare the performance of the upcoming point cloud compression standard against an octree-based anchor codec. Two different VR viewing conditions enabling 3- and 6 degrees of freedom are tested, to understand how interacting in the virtual space affects the perception of quality. To the best of our knowledge, this is the first work performing user quality evaluation of dynamic point clouds in VR; in addition, contributions of the paper include quantitative data and empirical findings. Results highlight how perceived visual quality is affected by the tested content, and how current data sets might not be sufficient to comprehensively evaluate compression solutions. Moreover, shortcomings in how point cloud encoding solutions handle visually-lossless compression are discussed.
Schedule Travel Planning System for Phayao Information Recommendation

In modern times, tourism services have many forms. Especially the tourism information service which can be used to make decisions. During which Thailand is one of the countries with the highest number of tourists in the world. Regarding that publicity or advertisement currently, Thailand has a project called "Travel in the less-visited area" to stimulate the tourism economy. The purpose of various data information on tourists, especially statistical data, travel history or even basic personal information in the analysis and strategies. The result of data that has been correctly analyzed through using techniques such as the recommendation technique. Moreover, it is the right choice because it is used in the educational process, research and business sector, for example, travel and hotel reservation services of the booking.com and Traveloka. In the paper, present the solution to apply the methods used widely in recommendation systems such as collaborative filtering and user profile for solving problems and managing tourism information in Phayao province. Through using tourist information and travel plans data received from users in the system for analysis. Including to obtain tourism information regarding the planned travel of tourists, and for creating an appropriate tourism planning system toward the tourists who are interested in tourism but do not have information or not planned. Experimental purposes, we expected that the system can recommend tourist attractions such as information and advertisements for travel locations in Phayao province and can provide the result of travel plan prediction.
Cell population data-driven acute promyelocytic leukaemia flagging through artificial neural network predictive modelling

A targeted and timely offered treatment can be of benefit for patients with acute promyelocytic leukaemia (APML). The current study made use of potential morphological and immature fraction related parameters (cell population data) generated during complete blood cell (CBC) counting, through
Analysis of the Problems Faced in Writing Education Through the Communication Course of Inje University

Despite the fact that writing education is a core part of general education at university, the quality of education depends on whether the course itself is mandatory or not. Inje University had originally run the communication course as one of the mandatory subjects of general education in 2005, by establishing an undergraduate college that plays a leading role in providing general education courses. However, after the closure of the college, the standard of the university’s general education was relatively poor, and in order to improve the level of education, Inje University made an extensive change to the general education course in 2019.BR By taking the diagnosis carried out by the consulting group associated with the Korea National Institute for General Education as the main topic, this research paper formalized a comprehensive review on the operation of the ‘writing as a language expression’ course which is the mandatory general education course in communication. As a result, the procedural problems of ‘the Korea National Institute for General Education’ consulting were noted whilst also acknowledging the discrepancy in opinions regarding the writing course in communication studies and discovering the errors in course management that have previously been overlooked.BR The key idea highlighted in this research is that the principal agent that directly manages the subject must be equipped with the reorganization initiative, especially if the core subject is in any way similar to the communication course that is highly related to the mandatory general education course system.BR Moreover, a lecture program that associates the lecture plan, textbooks, and extracurricular activities from the beginning must be organized in recognition of the goal and philosophy of the university’s general education. In consequence, the introduction of such a mandatory or non-mandatory general education course system that best suits each university must be actively pursued.
OJS Software Workshop Report

This report summarizes the achievements of the OJS community members from Germany and Switzerland in the OJS Workshop in Heidelberg University Library, Germany from February 20 and 21, 2020. Main goal of the workshop was to share knowledge and challenges, conceptualize and document problem solving suggestions and collectively develop software in and around OJS. Participants worked on a variety of subjects including data import/export plugins, search functionality, containerization, long-time archiving and XML workflows in and around OJS and OMP.The workshop is a continuation of fruitful meetings within the German OJS user and developer community under auspices of OJS-de.net network
Visual Analytics and Human Involvement in Machine Learning

The rapidly developing AI systems and applications still require human involvement in practically all parts of the analytics process. Human decisions are largely based on visualizations, providing data scientists with details of data properties and the results of analytical procedures. Different visualizations are used in the different steps of the machine learning (ML) process. The decision on which visualization to use depends on factors, such as the data domain, the data model, and the step in the ML process. In this chapter, we describe the seven steps in the ML process and review different visualization techniques that are relevant for the different steps for different types of data, models, and purposes.
Development of Mathematics Mobile Learning Application Through Discovery Learning Method

This study aims to produce learning media for Mobile Learning for class VII students of SMP/MTs through the Discovery Learning method and test the feasibility of applications in mathematics learning.This research is a development research with steps 4-D Research and Development (R & D) model (Define, Design, Develop, Disseminate).The study was conducted at SMP Muhammadiyah 1 Kalasan, Sleman Regency.This research data is obtained from student response evaluation sheets by students.Research data were analyzed by descriptive analysis process and questionnaire analysis process with Likert scale.The results showed that the Mobile Learning Mathematics application developed was of good quality.Thus, the application of Mobile Learning mathematics material is set for students of class VII SMP/MTs through Discovery Learning methods that are feasible to be used in mathematics learning.
Ore Deposits: Origin, Exploration, and Exploitation

Book Review| May 01, 2020 Ore Deposits: Origin, Exploration, and Exploitation Sophie Decrée; Sophie Decrée Search for other works by this author on: GSW Google Scholar Laurence Robb Laurence Robb Search for other works by this author on: GSW Google Scholar Economic Geology (2020) 115 (3): 687–688. https://doi.org/10.5382/econgeo.115.3.br01 Article history first online: 11 May 2020 Cite View This Citation Add to Citation Manager Share Icon Share Twitter LinkedIn Tools Icon Tools Get Permissions Search Site Citation Sophie Decrée, Laurence Robb; Ore Deposits: Origin, Exploration, and Exploitation. Economic Geology 2020;; 115 (3): 687–688. doi: https://doi.org/10.5382/econgeo.115.3.br01 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentBy SocietyEconomic Geology Search Advanced Search Ore Deposits: Origin, Exploration, and Exploitation. Sophie Decrée and Laurence Robb, Editors. 2019. ISBN 978-1-119-29053-7. American Geophysical Union and John Wiley and Sons, Inc., Geophysical Monograph 242. 272 Pp. Price: US$199.95 (Hardcover); US$159.99 (ebook). In Ore Deposits: Origin, Exploration, and Exploitation, available in both hardcopy and e-book, editors Sophie Decrée and Laurence Robb assemble 11 chapters divided into two sections that discuss a broad range of topics relevant to ore deposit research and today’s exploration challenges. The first section, “Characteristics of Atypical Mineral Deposit Styles,” provides case studies that investigate less conventional deposit styles that offer alternative exploration... You do not currently have access to this article.
Think Twice: The Influence of Immersion on Decision Making during Gambling in Virtual Reality

Immersive Virtual Reality (VR) is increasingly being explored as an alternative medium for gambling games to attract players. Typically, gambling games try to impair a player's decision making, usually for the disadvantage of the players' financial outcome. An impaired decision making results in the inability to differentiate between advantageous and disadvantageous options. We investigated if and how immersion impacts decision making using a VR-based realization of the Iowa Gambling Task (IGT) to pinpoint potential risks and effects of gambling in VR. During the IGT, subjects are challenged to draw cards from four different decks of which two are advantageous. The selections made serve as a measure of a participant's decision making during the task. In a novel user study, we compared the effects of immersion on decision making between a low-immersive desktop-3D-based IGT realization and a high immersive VR version. Our results revealed significantly more disadvantageous decisions when playing the immersive VR version. This indicates an impairing effect of immersion on simulated real life decision making and provides empirical evidence for a high risk potential of gambling games targeting immersive VR.
[Design of Paravertebral Muscle Monitoring System Based on Surface Electromyography].

In order to diagnose and evaluate the human spinal lesions through the paravertebral muscles, a paravertebral muscle monitoring system based on surface EMG signals was designed. The system used surface mount electrodes to obtain the surface myoelectric signal (sEMG) of paravertebral muscle. The signal was filtered and amplified by the conditioning circuit. The signal was collected by the microcontroller NRF52832 and was sent to the mobile APP. After the signal was preprocessed by the wavelet threshold denoising algorithm in APP, the time and frequency characteristics of the sEMG signal reflecting the functional state of the muscle were extracted. The calculated characteristic parameters was displayed in real time in the application interface. The experimental results show that the system meets the design requirements in analog signal acquisition, digital processing of signals and calculation of characteristic parameters. The system has certain application value.
Simpler Algorithm in Gradient Descent

In Batch Gradient Descent, the most efficient constant learning rate should be , and L is the Lipschitz constant. In “Learning the Learning Rate”(Xiaoxia Wu et al., 2018), some of their algorithms seem t-o be inefficient. This paper is gonna to further improve their method. The searching-L algorithm is raised in the following passage, which limits the WNGrad-Batch’s complexity from square to linear by gradually approximating our learning rate to . In stochastic gradient descent, we find that b-y using the learning rate  , which conforms the updating rule: , can have a more stable upper bound of the time complexity, which won’t have a parameter γ.