Reviewerly/exHarmony huggingface dataset:
Geographic Information System of College of Banyumas Regency Based on Android

Banyumas Regency is a student city in Central Java which has 21 tertiary institutions, consisting of state and private tertiary institutions, spread throughout the Banyumas region. With so many PTs available, it is often difficult for prospective students from out of town to get locations, so by building an Android-based Geographic Information System for Banyumas Higher Education Institutions that is built to help and facilitate the community or prospective students. With the prototype method with steps (communication, planning, modeling, prototype formation, and evaluation). The scope of the system includes the GPS assistance facilities. The main menu contained in the application of PTN and PTS about the brief description of information about tertiary institutions, facility menus from the ATM, gas station and hospital sub menus, emergency call menus containing important telephone numbers such as the police and fire department , and help menu how to use the application. Conclusions The study states that HI was accepted, namely "There is a significant time difference in the process of finding the location of tertiary institutions before and after using the Geographic Information System for Higher Education in Banyumas Regency on Android". Then based on the results of product tests that have been done show that the product test value to determine the quality of the system being built is 96.85, the value is greater than the feasibility limit of 75. Thus, the system built is suitable for use by the wider community.
Omni-GAN: On the Secrets of cGANs and Beyond

The conditional generative adversarial network (cGAN) is a powerful tool of generating high-quality images, but existing approaches mostly suffer unsatisfying performance or the risk of mode collapse. This paper presents Omni-GAN, a variant of cGAN that reveals the devil in designing a proper discriminator for training the model. The key is to ensure that the discriminator receives strong supervision to perceive the concepts and moderate regularization to avoid collapse. Omni-GAN is easily implemented and freely integrated with off-the-shelf encoding methods (e.g., implicit neural representation, INR). Experiments validate the superior performance of Omni-GAN and Omni-INR-GAN in a wide range of image generation and restoration tasks. In particular, Omni-INR-GAN sets new records on the ImageNet dataset with impressive Inception scores of 262.85 and 343.22 for the image sizes of 128 and 256, respectively, surpassing the previous records by 100+ points. Moreover, leveraging the generator prior, Omni-INR-GAN can extrapolate low-resolution images to arbitrary resolution, even up to x60+ higher resolution. Code is available.
고등학교 공통과목인 통합과학과 과학탐구실험의 적절성 평가 및 과학과 고등학교 공통과목 교육과정 개선 방안 도출

The purpose of this research is to examine the status of the operation and implementation of Integrated Science and Science Laboratory Experiments courses, their effectiveness and adequacy as common courses in the 2015 revised curriculum, as well as ways to maintain these subjects as common subjects for the next curriculum revision. A survey with 157 general high schools and focus-group interviews with 10 science teachers were conducted to investigate the status of these two subjects. According to the results, most of the Integrated Sciences courses were implemented in 6-8 units over two semesters, and 2 units over two semesters for Science Laboratory Experiments courses, which is determined by the number of teachers for each subjects and their majors. Regarding appropriateness as a common subject, 66.9% of teachers for Integrated Science and 57.9% for Science Laboratory Experiments said it was appropriate as a common subject. For the need to designate common subjects in the next curriculum, 76.5% of teachers for Integrated Science and 52.9% for Science Laboratory Experiments said these two subjects are necessary to be designated as common subjects. Based on the research results, the necessity to maintain Integrated Science and Science Laboratory Experiments as common compulsory subjects for all students in the 2022 revised curriculum, strengthening the nature of Integrated Science focusing on competency education, career guiding through Integrated Science classes, realizing science literacy education through standards-based assessment, and widening of teacher certification areas were suggested.
The Role of Prosodic Features in Showing Interactional Negotiation among Participants in Selected American Political Interviews

In this study the relationship between prosodic features and interactional relations, turn taking, and sequence organization has been investigated. In any speech situation there are particular prosodic cues used by the speakers in communication to have their turns. These cues are just like signals to tell others that the speaker is having his/her turn in speech. The researcher has investigated the expected signals determined by the speakers and recognized by the listeners to have turns. It is significant to show that some prosodic patterns reveal the turn completion or continuation. It is hypothesized that prosodic orientation like intonation, pitch register, and stress patterns display information about participants whether they have matching and non-matching of a previous turn. The repeated use of the same pitch height shows that the participants have an agreement about a particular situation. Two selected interviews are analysed using the strategy of opening and closing conversation, as well as discussion part and question-answer pairs. The prosodic analysis is carried out by using a computer program called Praat for doing acoustic analysis following E. Couper-Kuhlen’s model.  It is concluded that prosodic orientation presents a remarkable background domain to reveal information about participants’ interaction. It is not only used in collaboration with other conversational accomplishments, but it represents an interactional domain in its own realm.
Vulnerability Disclosure: Best Practice Guidelines

It is vital to the commercial interests of providers of Internet of Things (IoT) products and solutions and to the security of their customers, that vulnerabilities are discovered and remediated as soon as possible. Third party security researchers are a valuable adjunct to a provider’s internal resources in addressing this goal. To ensure effective co-operation and maintain good relations with external security researchers, it is important for providers to define and communicate vulnerability disclosure processes that not only describe how they would like vulnerabilities to be reported confidentially to them, but also set expectations as to how they will process and act upon such reports. This process should include provision of feedback to the discovering researcher, and the public announcement of the security vulnerability, usually after the release of a software patch, hardware fix, or other remediation.The ETSI 303 645 standard [4], which lays down baseline security requirements for the consumer IoT, includes requirement 5.2, to “Implement a means to manage reports of vulnerabilities”. This states that “The manufacturer shall make a vulnerability disclosure policy publicly available.”, adding that “A vulnerability disclosure policy clearly specifies the process through which security researchers and others are able to report issues.” This document provides manufacturers, integrators, distributors, and retailers of IoT products and services with a set of guidelines for handling the disclosure of security vulnerabilities, based on best practice and international standards.
Una marca de agua frágil en el dominio de los momentos ortogonales de Krawtchouk

espanolEn esta contribucion, proponemos un esquema de marca de agua fragil basada en los momentos ortogonales de Krawtchouk. El algoritmo propuesto inserta la marca de agua generada en los primeros ocho coeficientes de los momentos de Krawtchouk, calculados a partir de la imagen cubierta, con el proposito de garantizar la integridad y autenticidad de la fuente emisora. Ademas, mediante una clave privada, una clave publica y la funcion criptografica Hash ‐ Sha256 se genera una marca de agua fragil que sera incrustada en la imagen original. El trabajo experimental sobre la validacion del esquema propuesto consiste en el calculo de la relacion senal / ruido pico (PSNR) y en la deteccion de manipulacion de la imagen marcada. EnglishIn this contribution, we propose a fragile watermarking scheme based on Krawtchouk orthogonal moments. The proposed algorithm inserts the watermarking generated in the first eight coefficients of the Krawtchouk moments, calculated from the covered image, in order to guarantee the integrity and authenticity of the emitter source. Additionally, using a private key, a public key and the Hash‐Sha256 cryptographic function, a fragile watermark is generated and will be embedded in the original image. The experimental work on the validation of the proposed scheme consists of calculating the signal‐to‐noise ratio (PSNR) and detecting manipulation of the watermarked image.
Voice as a Contemporary Frontier of Interaction Design

Voice assistants’ increasingly nuanced and natural communication bears new opportunities for user experiences and task automation, while challenging existing patterns of human-computer interaction. A fragmented research field, as well as constant technological advancements, impede a common apprehension of prevalent design features of voice-based interfaces. As part of this study, 86 papers across domains are systematically identified and analysed to arrive at a common understanding of voice assistants. The review highlights perceptual differences to other human-computer interfaces and points out relevant auditory cues. Key findings regarding those cues’ impact on user perception and behaviour are discussed along with the three design strategies 1) personification, 2) individualization and 3) contextualization. Avenues for future research are lastly deducted. Our results provide relevant opportunities to researchers and designers alike to advance the design and deployment of voice assistants.
Program Penerapan Omah Sinau dan Pengaplikasian WiFi dalam Meningkatkan Minat Belajar Siswa di Masa Pandemi

Omah Sinau is the application of Out of School Education concept where education is designed to teach learning citizens to have skills and or knowledge and experience carried out outside of formal education (schooling). This lesson is addressed to residents of Blarakan Tenggah Kebulen Village, especially RT 003 RW 015 Sapuro Kebulen. Some of the activities carried out were house-to-house socialization in dealing with the ineffectiveness of online learning and educating learning participants with different methods which were carried out in Blarakan Kebulen Village. Considering the low importance of overcoming children's learning boredom, this service aims to help the residents of Sapuro Kebulen in online learning during the COVID-19 pandemic era. The study uses observational research and case studies in following up on observations and interviews with the surrounding community to form Omah Sinau program activities to increase student interest in learning during the current pandemic. As a result, through the activities above, they are able to make the public aware of the ineffectiveness of online learning during this pandemic and can provide knowledge to students regarding the difficulties of overcoming online learning.
Bubbles-powered energy generator: Alternative solution independent power plant with non-pollutant emission

In this paper, authors propose to study the effectivity of bubble’s lift force as a new energy source to generate electricity. Since the increasing demand for electricity supply is not helped by the contribution of electricity usage that creates emissions, resulting in severe climate change. Bubbles-Powered Energy Generator could be one of the alternatives for electric generator that does not produce pollutant emissions. BPEG is a device that generates electricity by utilizing the bubble lift force as a source of kinetic energy to spin the turbines. It is expected to provide more alternative technology for electric generator that do not produce pollutant emissions, so they can ultimately contribute directly to reduce the impact of climate change. In this study, there are three water levels that are being used to check the difference between bubble’s flowrate and velocity per mbsl. So that we can predict the future usage of this technology by multiplying the result of the test to the real plant situation.
Translating Migrations, (Re)Presenting Cultures in Transit: Licia Canton’s “The Motorcycle”

This essay investigates the relationship between the idea of movement and the concept of translation in Licia Canton’s short story “The Motorcycle” and in its Italian translation. The essay looks at translation both as a metaphor of negotiation and mediation that bridges two linguistic and cultural backgrounds and as a process thanks to which a text can effectively circulate in several languages and cultures. Thanks to some excerpts taken from the Italian text, the issue of the accent, that of self-translation and identity are explored through the lens of language, underlining its role in shaping and conveying images and narratives of the migrant.
Performance metrics in scrum software engineering companies

Finding effective ways to evaluate the process and a team in software engineering is not a trivial task. Therefore, it is pertinent to study metrics that can be used in Scrum environments to monito...
On Brightness Agnostic Adversarial Examples Against Face Recognition Systems

This paper introduces a novel adversarial example generation method against face recognition systems (FRSs). An adversarial example (AX) is an image with deliberately crafted noise to cause incorrect predictions by a target system. The AXs generated from our method remain robust under real-world brightness changes. Our method performs non-linear brightness transformations while leveraging the concept of curriculum learning during the attack generation procedure. We demonstrate that our method outperforms conventional techniques from comprehensive experimental investigations in the digital and physical world. Furthermore, this method enables practical risk assessment of FRSs against brightness agnostic AXs.
Developing Technical English Vocabulary Teaching Materials Based On Call

Abstract: The research is aimed to assist the English teachers and facilitate the students of Politeknik Negeri Jakarta (State Polytechnics of Jakarta), in learning technical English vocabularies. As students of polytechnics, they study ESP (English for Specific Purposes). In practice, they find some obstacles in memorizing technical vocabularies which are very important in order to read and understand manual books for laboratory and workshop, such as: “pile”, “bench”, et cetera. The research outcome is the software which can be used for practicing their vocabulary memory, so they will be more skillful and knowledgeable. This software is designed by using the program of Rapid E-Learning Suite Version 5.2 and Flash CS3. The software exercises contain some exercises on reading text and reading comprehension questions and presented with the multiple answers. This software is handy and flexible because students can bring it anywhere and be studied anytime. In other words, they have flexibility to learn and practice technical English vocabulary. As a result, the students are found one of the ways to overcome their problems of memorizing vocabularies. The product is a kind of software which is easily used and portable so that the students can use the software anywhere and anytime. It consists of 3 (three) sections of exercises. At the end of each exercise, the students are evaluated automatically by looking at the scoring system. These will motivate them to get good score. The most important thing is that by using this software the students can practice technical English vocabulary both in classroom or at home. Abstrak: Penelitian ini bertujuan untuk membantu para pengajar Bahasa Inggris dan memfasilitasi mahasiswa jurusan Teknik di PNJ untu belajar Bahasa Inggris Teknik, terutama belajar Bahasa Inggris untuk tujuan khusus (ESP). Dalam prakteknya sehari-hari, mereka menemukan kesulitan memahami Bahasa Inggris Teknik karena kebanyakan dari mereka adalah lulusan dari sekolah menengah umum. Oleh karena itum dibutuhkan suatu perrangkat lunak agar mereka dapat berlatih kosakata Teknik. Perangkat lunak ini dibuat dengan program rapid E-Learning Suite version5,2 dan Flash CS3. Perangkat ini terdiri dari teks bacaan dan Latihan kosakata Teknik yang dapat dipelajari oleh mahasiswa kapan pun dan dimana pun. Pada akhir Latihan, mahasiswa dapat melihat hasil pembelajaran dari soal Latihan yang telah mereka kerjakan.
APPLICATION OF SDLC MODEL IN THE REAL COUNT INFORMATION SYSTEM OF THE LEGISLATIVE ELECTION DPR RI REGIONAL ELECTION BANTEN II 2019

The vote count results of legislative elections or abbreviated Pileg at the City, Regency, Province, and National levels in their implementation require a long time so that the results of the votes can be known when using manual calculation techniques. Data recapitulation in the field often results in discrepancies between the numbers listed in the calculation paper and the reported data. In a manual process like this, an error or indication of fraud can occur. So that it can cause some obstacles in processing the data up to the plenary of the results by the Commissioner of the General Election Commission (KPU) besides the results that are different from those in the field will have an impact on the policy or the next step after the Pileg takes place. Therefore, we need a system that can find out in real terms the results of calculating the votes obtained from the Legislative Elections quickly. The speed and accuracy of the vote acquisition data that can be accessed in real-time is needed so that candidates can immediately know the development of the number of votes at the time of the vote count in all vote-counting locations. This real-time application functions to help vote calculation and the results can be known directly in a web-based application. This study aims to develop web-based real count applications using the Laravel Framework. The software development model developed in this research is the Software Development Life Cycle (SDLC) model. This study will describe the activities generated at each stage of development. The design and implementation of the real count application with the calculation process are carried out automatically by the application and the public can also access and monitor the calculation results in real-time on the website-based application.
2nd Place Solution to Google Landmark Recognition Competition 2021

As Transformer-based architectures have recently shown encouraging progresses in computer vision. In this work, we present the solution to the Google Landmark Recognition 2021 Challenge held on Kaggle, which is an improvement on our last year's solution by changing three designs, including (1) Using Swin and CSWin as backbone for feature extraction, (2) Train on full GLDv2, and (3) Using full GLDv2 images as index image set for kNN search. With these modifications, our solution significantly improves last year solution on this year competition. Our full pipeline, after ensembling Swin, CSWin, EfficientNet B7 models, scores 0.4907 on the private leaderboard which help us to get the 2nd place in the competition.
Hilbert transform revisited – Proper orthogonal decomposition applied to analytical signals of flow fields

The modes delivered by proper orthogonal decomposition (POD) are uncorrelated as per definition; but interestingly, they are not necessarily independent in terms of spatio-temporal flow-pattern dynamics. For instance, periodic structures that travel as waves through a series of snapshots often consist of pairs of modes with harmonic functions shifted 90 degree in phase and/or a spatial offset by a quarter of the spatial wave length of the convective flow pattern. Identification of such pairs, however, largely builds upon experience, visual inspection and/or the analysis of the reconstructed coefficients in cyclograms (Lissajous figures). This effort becomes even more challenging if measurement noise or other spurious information contaminates the raw data under consideration. One possibility to automatically pair corresponding patterns with common POD algorithms is the immediate application of the POD method to complex data (see Pfeffer et al., 1990). As outlined by Horel (1984), the Hilbert transform is a well-known and straight forward means to obtain the required extension of the original signal with an appropriate 90 degrees phase shift, which is independent of the fundamental frequencies. The complex extension of the original (real) signal Xi and its (discrete) Hilbert transform HT{Xi} as the imaginary part Xi +iHT{Xi} with the imaginary unit i is commonly known as the so-called analytical signal.
Binary code optimization

This article shows that any type of binary data can be defined as a collection from codewords of variable length. This feature helps us to define an Injective and surjective function from the suggested codewords to the required codewords. Therefore, by replacing the new codewords, the binary data becomes another binary data regarding the intended goals. One of these goals is to reduce data size. It means that instead of the original codewords of each binary data, it replaced the Huffman codewords to reduce the data size. One of the features of this method is the result of positive compression for any type of binary data, that is, regardless of the size of the code table, the difference between the original data size and the data size after compression will be greater than or equal to zero. Another important and practical feature of this method is the use of symmetric codewords instead of the suggested codewords in order to create symmetry, reversibility and error resistance properties with two-way decoding.
Exploring Teacher-Student Learning Approach for Multi-lingual Speech-to-Intent Classification

End-to-end speech-to-intent classification has shown its advantage in harvesting information from both text and speech. In this paper, we study a technique to develop such an end-to-end system that supports multiple languages. To overcome the scarcity of multi-lingual speech corpus, we exploit knowledge from a pre-trained multi-lingual natural language processing model. Multi-lingual bidirectional encoder representations from transformers (mBERT) models are trained on multiple languages and hence expected to perform well in the multi-lingual scenario. In this work, we employ a teacher-student learning approach to sufficiently extract information from an mBERT model to train a multi-lingual speech model. In particular, we use synthesized speech generated from an English-Mandarin text corpus for analysis and training of a multi-lingual intent classification model. We also demonstrate that the teacher-student learning approach obtains an improved performance (91.02%) over the traditional end-to-end (89.40%) intent classification approach in a practical multi-lingual scenario.