Reviewerly/exHarmony huggingface dataset:
New Interferometric Phase Unwrapping Method Based on Energy Minimization From Contextual Modeling

Two-dimensional phase unwrapping is a critical processing procedure of synthetic aperture radar interferometry. This operation becomes even more difficult in the presence of noise. Both local and global unwrapping algorithms are used in obtaining the absolute phase from the wrapped ones. However, there are still gaps in the use of these methods. Local methods still let noise propagate. While the global methods are unable to properly formulate the objective function. The aim of this article is to present a new algorithm for interferometric phase unwrapping. An alternative method to consider both local and global constraints of the interferogram is proposed. Local constraints are modeled by a novel quality measure. A weight is then assigned to each pixel of the interferogram based on two criteria-the phase jump ratio and the phase gradient. While the global constraints are modeled by a cost function that calculates the sum of the pixels weights in the interferogram. This cost function is minimized by a genetic algorithm. Validation tests with real and simulated interferograms showed that the proposed algorithm outperforms standard algorithms of phase unwrapping such as branch cuts, minimum cost flow networks, or minimum L <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">p</sup> -norm algorithm.
Developing Android-Based Interactive Mobile Learning Software To Improve Students’ Analysis And Synthesis Abilities On Basic Electronics

&lt;p&gt;This research aims to improve students' analysis and synthesis abilities on electronic component learning material using the Research and Development (R&amp;amp;D) method. Data were obtained from tenth-grade students of the Industrial Electronic Engineering Department in Bandung Regency and analyzed using the pre-test and Post-test with normalized gain. The results showed that during the stages of limited and product operational testing, the developed product tends to improve students' analysis and synthesis abilities in basic electronic learning material with electronic component sub-materials. Therefore, Android-Based Interactive Mobile Learning has succeeded in creating new and effective ways for students to learn.&lt;/p&gt;
Need analysis of English language usage for Tourism university students

There are 5 fundamental competencies that need to be acquired by all labors in tourism industry, one of them is communication. As an international language, English is still be chosen as a tool for communicating, negotiating, and interacting between laborers as well as customers or tourists. Thus, the development of English communication needs to be seemed as a mandatory thing for any tourism student, just before he/she is being involved in the real tourism sector. Need analysis is required. This is a Need Analysis study that generally employs a quantitative approach. A questionnaire was used to collect data in which the questionnaire was divided into two categories, 8 questions were formed as a checklist where 14 others were formed as 5 rating Linkert-scale questions. Mean and Standard Deviation were employed to calculate the need of English skills by tourism students. Whereas, Standard Deviation (SD) was employed to calculate the distribution of the scores gained by the respondents. Frequency (f) and percentage (%) were used to calculate the functions and problems of English usage by students in the tourism sector. The result shows that all language skills in English are needed for tourism students. Yet, in order to achieve the goal of providing an excellent service to tourists, it will need a well-prepared program and syllabus that may employ the internet as a source of information since the internet was the most popular reading source for tourism students. Keyword: English skills development, need analysis, Tourism university students DOI: 10.26905/enjourme.v 5 i2. 5105
Proses Digital Imaging Iklan Cetak Indonesia

Abstrak Rekayasa visual telah berkembang cepat dalam iklan cetak. Berbeda dengan era 1980-an hingga 1990-an yang masih menggunakan pola kerja produksi dengan tehnik manual, meliputi tehnik semprot Air Brush, Cutting kolase, double expose foto dan lainnya, saat ini proses kerja rekayasa visual telah menjadi pola kerja digital atau dikenal dengan digital imaging. Media cetak saat ini hadir dengan pengolahan digital imaging berbagai elemen huruf, gambar, foto, aksen bentuk, maupun gaya pewarnaan yang menciptakan berbagai gaya dinamis, imajinatif, dengan sentuhan teknologi. Penelitian ini memperlihatkan bahwa secara umum bentuk dan pola kerja keahlian ini meliputi ketrampilan menggunakan perangkat komputer grafis, kemampuan fotografi, dan kemampuan membuat konsep kreatif visual sesuai obyektivitas sebuah iklan. Penelitian ini juga menemukan bahwa dalam lingkup kerja industri iklan, crafting di dalam kerja visualisasi dengan proses digitalisasi menciptakan standar tertentu pada hasil akhir digital imaging, seperti kualitas gambar yang memerlukan keahlian manajemen file terhadap gambar, wajib menjadi perhatian khusus dalam proses perancangan, dari awal persiapan, proses digital imaging dan output dari visual.Kata Kunci: rekayasa visual, iklan cetak, crafting, digital imagingAbstractImage manipulation has developed rapidly in print advertising. Unlike the 80s to 90s, which still uses manual production techniques, include air brush spray techniques, cutting collages, double exposure photos and others, work processes of visual manipulationin the advertising industry today, has become a digital work pattern, known as digital imaging. Today’s print media comes with digital imaging processing various elements of letters, images or illustrations, photographs, shape accents, and coloring styles that create a variety of dynamic, imaginative, and feels a touch of technology.This study shows that in general the forms and patterns of work of this expertise include skills in using computer graphics devices, photographic abilities, and the ability to create creative visual concepts according to the objectivity of an advertisement. This study also found that in the advertising industry’s scope of work, Crafting in the work of visualization with the digitization process creates certain standards on digital imaging results, such as image quality that requires file management expertise for images, must be of particular concern in the design process, from the beginning of preparation, digital imaging processes and visual output.Keywords: Image manipulation, print ad, crafting, digital imaging
Anytime Minibatch With Delayed Gradients

Distributed optimization is widely deployed in practice to solve a broad range of problems. In a typical asynchronous scheme, workers calculate gradients with respect to out-of-date optimization parameters while the master uses stale (i.e., delayed) gradients to update the parameters. While using stale gradients can slow the convergence, asynchronous methods speed up the overall optimization with respect to wall clock time by allowing more frequent updates and reducing idling times. In this paper, we present a variable per-epoch minibatch scheme called Anytime Minibatch with Delayed Gradients (AMB-DG). In AMB-DG, workers compute gradients in epochs of a fixed time while the master uses stale gradients to update the optimization parameters. We analyze AMB-DG in terms of its regret bound and convergence rate. We prove that for convex smooth objective functions, AMB-DG achieves the optimal regret bound and convergence rate. We compare the performance of AMB-DG with that of Anytime Minibatch (AMB) which is similar to AMB-DG but does not use stale gradients. In AMB, workers stay idle after each gradient transmission to the master until they receive the updated parameters from the master while in AMB-DG workers never idle. We also extend AMB-DG to the fully distributed setting. We compare AMB-DG with AMB when the communication delay is long and observe that AMB-DG converges faster than AMB in wall clock time. We also compare the performance of AMB-DG with the state-of-the-art fixed minibatch approach that uses delayed gradients. We run our experiments on a real distributed system and observe that AMB-DG converges more than two times.
Entanglement-Assisted Quantum-Secure Covert Communication

We report that shared entanglement improves the scaling law for quantum-secure covert communication over the thermal noise lossy bosonic channel and that our entanglement-assisted optical transceiver architecture captures this improvement.
Architectures for Flexible Collaborative Systems

Abstract Collaborative systems are characterized by their interaction with other systems in collaborative system groups in order to reach a common goal. These systems interact based on fixed rules and have the ability to change structurally, if necessary. Changes in the collaboration are usually triggered from outside and are time-discrete with a rather wide time scale. The architectures of these systems and system groups must support flexibility and adaptability at runtime while also ensuring specific qualities, although these changes and their consequences cannot be fully foreseen in all combinations at design time. In order to enable knowledge preservation and reuse for the design of system architectures for flexible collaborative systems and system groups, we present a method for designing reference architectures for systems and system groups. For this approach, we present an example of a reference architecture for an operator assistance system. To adequately consider safety requirements during the design, we further introduce a method which adapts safety argumentation for flexible collaborative systems to changes in their specification or operating context.
Political Risks and Blockchain: Definitions and Possible Case Examples

The present research article shall outline how blockchain solutions could be combined with insurance solutions against political risks (PRI). Through the definitions and the characterization of the key concepts of traditional insurance law and blockchain technology using possible case examples of specific political risks, it will be shown, how the insurance coverage of political risks could be achieved through smart insurance contracts or other blockchain solutions in the future.
PENERAPAN METODE PAIRED READING/ PAIRED SUMMARIZING UNTUK MENINGKATKAN KEMAMPUAN PEMAHAMAN MEMBACA TEKS PADA SISWA SMK ABDURRAB PEKANBARU

The purpose of this research is to know the effect of using Paired Reading/ Paired Summarizing on reading in comprehension student at SMK Abdurrab Pekanbaru, especially in Health Analysis department. This research used quasi-experimental method with pretest-posttest control group design. The total sample was 64 students who were divided into two classes, as experimental and control class. In ready ability pre-test reading ability the result showed 68.8% students were in bad category from both experimental and control classes. After conducting an experiment using the Paired Reading / Paired Summarizing learning method with the same teaching material, 12 students (35.3%) were obtained in the good category and 10 students (29.4%) in the very good category from experimental class, while the control class contained only 4 students (11.8%) and 2 students (5.9%) with the same category. The research can be concluded that using Paired Reading/Paired Summarizing on occasional student of Abdurrab Pekanbaru can increase the reading comprehension of student ability.
Efektivitas Penggunaan Metode Amaba dalam Kemampuan Bertilawah untuk Siswa dengan Hambatan Pendengaran

The ability to read the newspaper is also needed by students with hearing, now there are many supporting learning of the newspaper for children with hearing hearing one method that will be used as an amaba method. This research method uses the method of Amaba in the knowledge of children with hearing impairments. The assessment used is a quantitative review with A single subject design research type assessing A-B-A. Research methods that show the method of amaba in the ability to speak for students with hearing, improve the ability to speak using the method of amaba
THE EVOLUTION OF THE FUNCTION AND DESIGN OF SPACES IN ACADEMIC LIBRARIES THROUGH THE DIGITAL ERA

Along with technology development in all fields of contemporary life, activities come development regarding architectural requirements.The functions, spaces usage, types of buildings, etc. have changed.Certain architectural elements and spaces have disappeared while other functions have either disappeared or been minimized.The change has also exceeded the architectural level to the urban level, affecting the urban planning elements, sizes, and decision-making processes.Developments in technology exert a great influence on communication as well as data entry, saving, and archiving; which, in return, has had a direct impact on libraries' spaces, operating systems, functions, and user types.As a result, the traditional space requirements and old architectural theories should be revised.This research aims to study the theoretical requirements of architectural academic libraries and the implications of technology development for spaces, functions, and types of users in the last ten years, through analyzing ten university libraries that were recently established in Europe and the USA that use the latest technologies.The outcome is applied to a case study: the architectural academic library of Beirut Arab University on Debbieh campus.The research finds that physical libraries will not be replaced by digital libraries easily, although the extensive use of technology has led to continuous changes in library spaces.The technological revolution in the field of mobile phones and applications which facilitated the accessibility of information and the possibility of searching and indexing has boosted the trend in changing library collections from physical to digital phenomena.In addition, the ideas of shared spaces and Pop-up Campuses, where libraries are completely virtual and universities are without boundaries, will also affect these traditional library-related theories.It is hoped that the results and recommendations will assist the development of a new approach and method regarding library design, which may consequently affect university buildings design, especially since the effect of the COVID-19 pandemic is pushing us toward social distancing and online applications.
Generating pseudo-random texts based on the frequency characteristics of texts in natural languages

The paper discusses generation of pseudo-random texts based on frequency characteristics of texts in natural languages. The follow frequency characteristics of texts and their values for the Russian and English languages are considered for generation: the distribution of unigrams and bigrams over frequency of occurrence in texts, the distribution of words over the length. Based on the considered frequency characteristics, an algorithm for generating pseudo-random texts is suggested. Texts generated according to the algorithm are studied in experiments of language recognition in texts.
LEARNING TECHNOLOGIES FOR PROFESSIONAL TRAINING OF SOCIAL WORKERS IN SCIENTIFIC RESEARCH ACTIVITY

The article addresses the problem of professional training of social workers in scientific research activity. The authors substantiated that pedagogic theory and practice lack of comprehensive studies of research technologies for training of professionals in social work. The article aims to specify effective technologies for training of social workers in scientific research activity in tertiary education. Research methods used: analysis of the scientific literature, systematization (with a view to clarifying the key research notions), studying the experience of higher educational institutions in research training of social workers (with a view to defining distinctive features of the process), generalization (with a view to drawing the conclusions). The authors rationalized the research skills of social workers as an important component and an essential feature of professional social work in the current context. Professional development of well-educated, proactive, and highly committed researcher is an absolute precondition for further evolution of the profession aiming at social protection of different groups of population. The authors justified commitment of social worker to scientific research activity as a coherent system of professional and personal features, sound theoretical and methodological knowledge and skills, and proactive personal attitudes to research process, which are reflected in awareness and positive perception of scientific research activity as a component of professionalism. The authors concluded that effective technologies for training of social workers in scientific research activity in tertiary education are as follows: case technology (it enables students to develop specific practical skills through the collective creative discussion based on real situation containing unique practical experience), learning-focused (it enables higher leaning achievements of the students without increase in a volume of learning through the changes in the learning strategies, structure of provided information, and ways of communication), differentiated instruction (providing students with environment which enables each of them to develop abilities to conduct research), development of critical thinking (development of scientific thinking to solve non-trivial expert tasks), project development (enables students to develop their capacities of combining and matching the formal knowledge with the practical experience).
Historical Scientific Analog Data: Life Sciences Faculty’s Perspectives on Management, Reuse and Preservation

Older data in paper or analog format (e.g., field/lab notebooks, photos, maps) held in labs, offices, and archives across research institutions are an often overlooked resource for potential reuse in new scientific studies. However, there are few mechanisms to help researchers find existing analog data in order to reuse it. Yet, in the literature, reuse of historical data is particularly important in studies of biodiversity and climate change. We surveyed life science researchers at the University of Minnesota to understand and explore current and potential future use of historical data, attitudes around sharing and reusing data, and preservation of the data. Large amounts of historical data existed on our campus. Most researchers had reused or shared it, and many continued to add to their data sets. Some data had been scanned, over half of researchers have re-keyed some of their data into machine-readable format, and nearly all that were converted to a digital format were stored on unstable platforms and legacy formats. Researchers also expressed concerns about long-term preservation plans, or who to contact for assistance in planning for the future of the data, since much of these data are at risk for loss. Currently produced digital data sets are subject to guidelines and requirements developed at a national level. Solutions for historical analog data could benefit from a similar high-level treatment, and it will take experts from various fields to lead this effort. Given libraries’ expertise in data management and preservation, librarians are in a position to collaborate on devising cross-disciplinary solutions.
Sistem Penentuan Lokasi Pusat Layanan Terpadu Bagi Penderita Penyakit Demam Berdarah Dengan Menggunakan K-Means Clustering

Puskesmas is a functional organizational unit that organizes comprehensive, integrated, equitable health efforts that are acceptable and affordable to the community. The function of the puskesmas is to provide health services to the community through the Community Health Efforts (UKM) and Individual Health Efforts (UKP) programs which are at the forefront of providing health services to the community, especially the prevention and treatment of diseases. The disease is divided into 3 types namely infectious diseases or diseases caused by germs that attack the human body. This research will attempt to handle infectious diseases, namely dengue hemorrhagic fever (DHF). Dengue fever or dengue fever (abbreviated as DHF) is an infection caused by dengue virus. Mosquitoes or some types of mosquitoes transmit (or spread) dengue virus. Then a computerized analysis using data mining software that supports the flow of data and information in accordance with the needs of handling dengue fever from these processes and the selection of a more suitable method is used that is using K-Means clustering.Keywords : The location determination system, dengue faver, K-Means Clusterring
Deriving Bounds and Inequality Constraints Using Logical Relations Among Counterfactuals.

Causal parameters may not be point identified in the presence of unobserved confounding. However, information about non-identified parameters, in the form of bounds, may still be recovered from the observed data in some cases. We develop a new general method for obtaining bounds on causal parameters using rules of probability and restrictions on counterfactuals implied by causal graphical models. We additionally provide inequality constraints on functionals of the observed data law implied by such causal models. Our approach is motivated by the observation that logical relations between identified and non-identified counterfactual events often yield information about non-identified events. We show that this approach is powerful enough to recover known sharp bounds and tight inequality constraints, and to derive novel bounds and constraints.
An Efficient Domain-Adaptation Method using GAN for Fraud Detection

In this paper, an efficient domain-adaptation method is proposed for fraud detection.The proposed method employs the discriminative characteristics used in feature maps and generative adversarial networks (GANs), to minimize the deviation that occurs when a common feature is shifted between two domains.To solve class imbalance problem and increase the model's detection accuracy, new data samples are generated by applying a minority class data augmentation method, which uses a GAN.We evaluate the classification performance of the proposed domain-adaption model by comparing it against support vector machine (SVM) and convolutional neural network (CNN) models, using classification performance evaluation indicators.The experimental results indicated that the proposed model is applicable to both test datasets; furthermore, it requires less time for learning.Although the SVM offers a better detection performance than the CNN and proposed domain-adaptation model, its learning time exceeds those of the other two models when dataset increases.Also, although the detection performance of the CNN-based model is similar to that of the proposed domain-adaptation model, its learning process is longer.In addition, although the GAN used to solve the class imbalance problem of the two datasets requires slightly more time than SMOTE (synthetic minority oversampling technique), it shows a better classification performance and is effective for datasets featuring class imbalances.
IMPLEMENTASI METODE MARKET BASKET ANALYSIS (MBA) MENGGUNAKAN ALGORITMA APRIORI DALAM TRANSAKSI PENJUALAN (STUDI KASUS: KAFE RUANG TEMU)

Jakarta is one of the culinary attractions, many tourist attractions every year become creative in business. One of them is a cafe. Cafe Ruang Temu has sales transaction data but is not used to see associations between one product and another. In this case there needs to be a system for finding menu combinations by processing sales transactions. One of the data mining techniques is association rule or Market Basket Analysis (MBA) with apriori algorithm. Apriori algorithm aims to produce association rules to form menu combinations. The sales dataset for January 2019 to July 2019 is determined by the minimum support and minimum confidence values that have been set.