Reviewerly/exHarmony huggingface dataset:
Development of a Geography Booklet as Learning Media Based on Subject Literature

This research aims to determine the feasibility of a geography booklet as learning media based on subject literature and to find out the effectiveness of a geography booklet as learning media based on subject literature towards students learning outcomes.Stages of this research are stage of needs analysis, stage of planning geography booklet as learning media (design), stage of development (develop), and stage of trials (validation).Research results indicate (1) expert trial of geography topics is in very good qualification (90.45%), (2) expert trial of learning media is in very good qualification (84.96%), (3) expert trial of learning design is in very good qualification (94%), (4) individual trial is in very good qualification (94.81%), ( 5) small group trial is in very good qualification (96.06%), ( 6) field trial is in very good qualification (99.52%).The hypothesis trials result proved that there are significant differences of learning outcomes in between students who did not use a geography booklet as learning media based on subject literature with students who use a geography booklet as learning media based on subject literature.This is indicated by the results of data processing tcount = 15,78, at the level of significance α = 0,05 ttable = 1,69.The conclusion is a geography booklet as learning media based on subject literature that has been develop, feasible and effective to convey a better change by looking at geography learning outcomes at the high school level..
Visual cryptography based robust copyright protection scheme to secure online social networking content with multiple owners

Most of the existing visual cryptography (<i>VC</i>) based watermarking schemes consider images of a single owner, however, some real-life applications demand images with multiple owners. In these schemes, pixel expansion, meaningless shares, use of codebook and low robustness against certain attacks are some other challenges. To overcome such challenges, a robust and secure copyright protection scheme for color images is proposed. This scheme uses <i>VC</i>, transform domain and chaos technique. <i>VC</i> ensures the security of the scheme while other techniques are applied to enhance the robustness of the scheme. Transform domain techniques are applied to the <i>R, G</i> and <i>B</i> components of the image to extract its features. These features are used to create the master share. This master share along with the respective watermarks are used to construct the key shares for every owner. The key shares should be some meaningful images and not random looking, so that they do not create any suspicion for some secret information being shared. Hence the constructed key shares are hidden in meaningful cover images using Kukreja <i>et al.</i> scheme. To prove the copyright of the image, the key share stored with the owner is superimposed with the master share to retrieve the watermark. The novelty of the scheme is that it can protect the image having multiple owners by using multiple watermarks, still the original image remains unmodified, as the watermark is not embedded inside it but is hidden in the key shares. The experimental results can prove that the proposed scheme has strong robustness against different image processing attacks, perfect imperceptibility and also satisfy blindness and security properties. Comparisons with the existing schemes show the effectiveness of the proposed scheme.
Graphical analysis of the progression of atrial arrhythmia through an ensemble of Generative Adversarial Network Discriminators

Conference of the European Society for Fuzzy Logic and Technology, EUSFLAT 2019 (11th. 2019)
German Traffic Sign Detection Benchmark (GTSDB)

Data from the German Traffic Sign Detection Benchmark (GTSDB). This archive contains the training set used during the IJCNN 2013 competition. The main archive FullIJCNN2013.zip includes the 900 training images (1360 x 800 pixels) in PPM format, the image sections containing only the traffic signs, a file in CSV format with the ground truth, and a ReadMe.txt with more details.For historic reasons, we also provide the data split as in the competition:FullIJCNN2013.zip: Entire dataset consisting of 900 full images TrainIJCNN2013.zip: Training dataset from the IJCNN 2013 competition consisting of 600 full imagesTestIJCNN2013.zip: Test dataset from the IJCNN 2013 competition consisting of 300 full images, without ground truth annotationsgt.txt: Ground truth annotations for test dataset Reference: Sebastian Houben, Johannes Stallkamp, Jan Salmen, Marc Schlipsing, and Christian Igel. Detection of Traffic Signs in Real-World Images: The German Traffic Sign Detection Benchmark.International Joint Conference on Neural Networks (IJCNN 2013), pp. 715-722, IEEE Press
Observing trajectories of KOSs Across Space and Time: The DANS KOS Observatory (KOSo)

Knowledge Organization Systems (KOSs) include a wide variety of schemas ranging from ontologies, to classifications, thesauri, taxonomies, semantic networks, etc. These schemas can be updated and revised (or conversely become obsolete or lost) and are therefore prone to change over time. A wish expressed frequently by the research front in the KO community was for an “observatory” of KOSs. In 2017, via the KNAW Visiting Professor programme, DANS [1] began to focus more on understanding how KOSs change over time, how they can be archived, how version identification and control can be addressed, and also, how KOSs can be aligned to the ‘FAIR’ Data Principles (Findable, Accessible, Interoperable, Reusable). This research ambition coupled with community interest lead to the creation of the KOSo (Knowledge Organization Systems Observatory). Concretely, the observatory involves the identification of KOSs within the social sciences and humanities or the life sciences. KOSs have been described and ordered in the observatory through a process of empirical association in order to resist the potential pitfall of already organizing these resources through the lens of other KOSs (e.g. already describing the KOS in terms of existing controlled vocabularies). KOSo employs both metadata terms and formal classifications, using the Information Coding Classification in a synthetic format together with the KO Literature Classification, thus rendering for each KOS a domain-centric term faceted with a KOS-form term. Additionally, we classify domains using the NARCIS Classification, which is a framework to represent the research foci of the Dutch national research infrastructure.
Simulation Research on Liquid Level Cloud Model Control of Double-Tank System

The double-tank system, representative in the research of process control system, is a typical time-delay object featured by large inertia, nonlinearity and strong coupling. In this paper, the control system of double-tank system in the process control laboratory is used as the research object, the mathematical model based on the combination of cloud model and PID is established and the simulation research of the double-tank system is carried out. The experimental results show that on the basis of PID, coupled with the cloud model control system, the response speed of the system can be accelerated, the overshoot is reduced, the adjustment time is greatly shortened, and the dynamic performance and steady state performance of the system can be improved.
Application for Identifying Classical Surakarta Batik Patterns (APECOBA) Based on Android with the LBP Method

Batik is one of the regional cultures in Indonesia that should be preserved and introduced. The application of mobile technology systems in the present has helped and facilitated all aspects of human life. The ease and convenience of mobile technology, can later be applied as a way to introduce Indonesian regional culture that is rich in various cultures. This application system is created to help and facilitate the identification of batik patterns. The process of identifying batik patterns is done by extracting features of batik patterns using the Local Binary Pattern (LBP) method. Before the process of taking batik image characteristics, the resize process and the grayscaling process are carried out. Patterns or characteristics of batik images that have been obtained from the extraction process will be used for the identification process by classifying with the K-Nearest Neighbor (k-NN) method. The results of testing the implementation of the Local Binary Pattern method on the Identification Application for Surakarta-based Batik Batik Patterns show the accuracy of identification of batik patterns is quite good with the highest accuracy of 95% in bright conditions in an upright position (0◦).
Adaptive medical image watermarking technique based on wavelet transform

Watermark embedding is a process which carries out by transform medical image into the wavelet domain. While the adaptive thresholding can be described as computed which determine the appropriate location in order to make the watermark is hiding in coefficients of the image. Due to obtaining the medical image fidelity, the data of watermark has been embedded in the coefficients which having lesser sensitive into the system of human vision. Due to conserve the authentication of the medical image, this paper aims to proposed adaptive medical image watermarking method which depends on the wavelet transform and properties of the human visual system. The result of experimental shown that the degradation by embedding the watermark is smaller to be visualized and the proposed adaptive watermarking method is capable to remain the fidelity of the medical image. The fidelity performance of the proposed technique was evaluated via three image quality metrics which are PSNR, UQI, and SSIM. The result of the evaluation shown the high results of the proposed method of respect with the fidelity of the medical image.
BARRIERS ENCOUNTERED BY EFL STUDENTS IN LEARNING SYNTAX AT FIFTH SEMESTER IN ENGLISH DEPARTMENT OF SORONG MUHAMMADIYAH UNIVERSITY

This research aimed to describe kinds of barrier encountered by EFL students in learning Syntax at Fifth Semester in  English Language Education Department of Universitas Muhammadiyah Sorong. This research used a qualitative method in the form of a descriptive qualitative design. 6 students as were as participants of this research. The participants were taken using purposive sampling through the criteria: students had difficulty in learning syntax. An interview was done to gather research data. Before conducting the research, Pre-Interview and Pre-Participation Observation in the Syntax Class to find out Students’ that have difficulties in learning Syntax were done. After that, the semi-structured interview used to know the barriers encountered by these students. Based on the data gained, the result of this research found that the students’ barrier in learning Syntax in English Language Education Department of Universitas Muhammadiyah Sorong were an emotional barrier, motivation barrier, and learning disability. From those of three barriers, most of the students tended to have fear, shame and emotional sensitivity as a most encountered barrier. Another barrier was motivation barrier such as Procrastination and Learning Environment, in addition to learning disability like depression, and dysgraphia. There are two kinds of Barrier that have not encountered by students, they are Lack of Prioritization and Dyslexia.Key words: Barriers, Learning Syntax
Multiple Image Hiding Using Arnold Transformation

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Blockchain Use in Healthcare Data Storage

Healthcare is an industry which needs to maintain a large amount of critical medical Data. Which may include the patient's historical data, medical record, and patient's private Information, etc. this information is very critical and needs to be stored and maintained securely. Whenever people hear about blockchain their mind might typically think about banking and financial markets. But we can use blockchain technology for decentralizedHealthcare data storage.Blockchain used in healthcare is called as health blockchain.The proposed system increases data security and removes the cost, time, and resources required to manage the healthcare data records.
Learning Camera-Invariant Representation for Person Re-identification

Person re-identification (re-ID) problem aims to retrieve a person from an image gallery captured across multiple cameras. However, images of the same identity have variations due to the change in camera views. So learning a camera-invariant representation is one objective of re-identification. In this paper, we propose a camera-style transfer model for generating images, and a fake triplet loss for training the person feature embedding model. We train a StarGAN, a kind of generative adversarial networks, as our transfer model, which can transfer the style of an image from one camera to multiple different camera-styles by a generator network. So the image set is expanded with style-transferred images. However, style transferring yields image distortion, which misleads the training of feature embedding model. To overcome the influence of image distortion, we consider the gap between fake and real images, then we propose a fake triplet loss to capture the camera-invariant information of fake images. We do a series of experiments on the Market-1501, DukeMTMC-reID, and CUHK03 datasets, and show the effectiveness of our methods.
Study on the Modification on DS Theory of Evidence Based on Evidence Support Level

To avoid the unreasonable evidence theory caused by the high conflict evidence, the modification on DS Theory of Evidence (DSTE) based on evidence support level is proposed in this paper. First of all, various modifications on DS theory of evidence are generally analyzed. On this basement, the novel conflict information weighted allocation method based upon evidence support level is presented in detail. It realizes the unification of subjective objective diagnostic knowledge and the uncertain information, which is able to settle the fusion failure caused by the evidence conflict.
Correction to: The science case of the FRS Ion Catcher for FAIR Phase-0

Due to technical constraints this article was published in volume 240:1 with erroneous article citation ID number 3 whereas this should have been 73 which is corrected as such. Springer Nature sincerely apologizes towards the author(s) for the inconvenience caused.
A Comparative Study E-Commerce Development Method: Adapting an Agile Approach in Mobile Occasion E – Commerce System

E-commerce nowadays has expanded in the past years, and it is substituting the traditional brick and mortar stores.And most of the brands now have their own web or mobile application so the users can shop online, it is easier and faster.Building an e-commerce application is like any other software it goes through phases in the SDLC.This paper is going to be a guide to adapt the Agile mythology in the development of the mobile e-commerce application.
Innovative Design of Reversing Device and Rod Loading Device of Horizontal Drilling Rig Based on TRIZ

Aiming at the problems of low automation level of horizontal drilling rigs and high construction intensity of constructors in China, innovative design of horizontal drilling rigs was carried out to improve the automation level of drilling rigs. However, improving the automation level of the horizontal drilling rig will increase the difficulty of manufacturing the horizontal drilling rig and the difficulty of maintenance. Therefore, TRIZ theory was used to solve the contradiction. Firstly, the functional model of the horizontal drilling rig was established through functional analysis to clarify the functional structure of the drilling rig and provide assistance for subsequent design. The main functions of the reversing device are the carrying rig, the rotary drilling rig and the positioning drilling rig. The main functions of the loading device are storing the drill pipe, conveying the drill pipe and positioning the drill pipe. The conflict analysis was used to solve the contradiction between the automation degree of the optimization device and the deterioration of manufacturability and maintainability. After the design, the automation of the drilling rig was greatly improved.
Subject & Course Guides: Streaming Video Services (Regionals): Miami University Libraries' Policies, FAQ, and Forms

Policies, forms, resources, FAQ, and legal information about accessing streaming video content through the Regional Campus Libraries MU Libraries' documentation specific to streaming videos policies. This includes a link to the film request form.
Hugging Robot for Analyzing Human Behaviour

Nowadays, various humanoid robots are designed for various applications like manufacturing industries, medical fields, in defense areas where human cannot reach.Robots are used for automating work so as to reduce the manpower.Existing system is, the robot can hug human and the different modules in which we can measure temperature and blood pressure of human.This paper presents Hugging Humanoid for Analyzing Human Behaviour with the help of body temperature and blood pressure.Output of the system will be human will hug the robot and robot will hug back the human and will measure his body temperature and blood pressure and using those parameters it will analyze the human behaviour.
PEMBELAJARAN MENULIS TEKS EKSPLANASI KOMPLEKS DENGAN MENGGUNAKAN METODE PICTURE AND PICTURE

The background of this study is based on the fact that students feel difficult when writing explanatory texts. The difficulties faced by students include difficult to express ideas in writing complex explanatory texts. This statement is proven by the answers of the students when filling out the questionnaire given by the teacher. This study aims to see the effect of the picture and picture method on the results of student writing. The researcher used an experimental method with a design (one group pre-test post-test), the data collected was the initial test (pre-test) and the final test (post-test). The instruments used were evaluation questions, to see the results of student writing, observations to see the learning process of students in the class, and questionnaires to find out student responses related to the application of the methods carried out on 30 class students as a research sample. The results of the study show that the picture and picture learning method influences student learning outcomes in writing complex explanatory texts. It can be seen from the average value obtained by students before and after being treated using the picture and picture method. The average value of students before being given treatment is 74.2 and after being given treatment using the method of picture and picture the average value of students increases to 82.7. So, the picture and pictured method can be applied in learning to write explanatory texts because it is proven to increase the average value of students in writing complex explanatory texts.
Context-Aware Local Binary Feature Learning An Approach For Face Recognition

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Afterword: Ecological Catastrophe in the Fourth Industrial Revolution

To conclude this book, I look at some of the ways the left can use the media to promote public pedagogies (educational activity and learning that occurs outside of educational institutions) that both challenge right-wing ideologies, and crucially also advance the cause of eco-socialism. In order to do this, it is informative to critically evaluate two axiomatic realities facing capitalism today: first, the (impending) ecological catastrophe that has been understated in everyday parlance as “climate change”; second, a massive transformation in scientific and technical innovations that has become known as the fourth industrial revolution or Industry 4.0. I will consider each in turn.
Use of ORCID in the Funding Cycle

This slide deck summarizes the recommendations of the ORCID Funder Working Group for implementing ORCID and other persistent identifiers.
Factors Impacting Employee Loyalty – an insight from Process Outsourcing Organisation using R Platform

Employees move out from organsiation for various reasons ranging from personal to official and the cost of hiring employees are also in exponential trend. The investment made in infrastructure, training has initiated organization to focus on employee loyalty. This has grabbed the attention of organizations to turnaround and focus on employee loyalty. BPO/RPO organizations in India are facing the employee attrition from its entry level. As keeping cost leadership is the only opportunity to sustain in the present trend, their investment made over employees builds a kind of conducive environment. Thus the primary objective of the study is to explore organization culture, job security, financial benefits, career development practices, interpersonal relations along with employee commitment towards their loyalty. The study aimed to identify the top three performers in BPO/RPO companies located in four major cities as Chennai, Coimbatore, Trichy and Madurai which is a member in NASSCOM. A sample of 30 employees and 10 team leaders were selected in each city based on simple random sampling and it constitutes 480 samples in total. The collected data was analysed using descriptive statistics, one way ANOVA and multiple regression using R language. The Multiple regression co-efficient reveals that out of seven components organization culture, career development, job security, supervisor attitude and relationship with team members has significant impact over employee loyalty. The other component such as financial benefits and employee commitment has no significant impact on employee loyalty.&#x0D;