Reviewerly/exHarmony huggingface dataset:
ICIP 2019 Conference Paper: Improving Simultaneous Visual Odometry and Depth Estimation with Deep Unsupervised Learning

ICIP 2019 Conference Paper: Improving Simultaneous Visual Odometry and Depth Estimation with Deep Unsupervised Learning
Target localization methods using passive ranging with multispectral LWIR measurements

Target localization methods using passive ranging with multispectral LWIR measurements
Eksplorasi Fenomena Belajar Sistem Kebut Semalam: Kajian Kualitatif Terhadap Kebiasaan Belajar Siswa Kelas VI

Learning and preparing for exams is an essential part of academic life. It requires learning skills and effective time management. However, many students are forced or accustomed to studying at the last minute, which can harm student learning and health. This qualitative phenomenological study aims to explore the phenomenon of learning the overnight speeding system by analyzing and describing the overnight speeding system (SKS) learning strategies for 6th graders in SD SD SDN Trobayan and student perceptions of the SKS strategy. This study also seeks to explore the perspectives of teachers and principals on this phenomenon. This study involved four students, one teacher, and the principal as participants. Data was collected through interviews and document analysis and analyzed using a four-step process: data reduction, analysis, presentation, and drawing conclusions. The results showed that the appropriate credit learning strategy was to re-read the material and make a summary. Although not entirely a lousy learning method, it is necessary to pay attention to the habit of studying fast overnight so that it does not affect the health and performance of students. The scores of students who used the overnight speed study system the night before the test showed successful learning, with an average FCJ score of 801 and a QDNA score of 804, which were higher than the class average of 768.12. The findings of this research can provide teachers and students with insight into how to optimize their study strategies and time management skills, as well as avoid the negative consequences of overnight speeding systems.
Holistic Approach to Collaborative Immersive Virtual Environments in Education: eDIVE Design Case Study

This article provides a comprehensive framework for CIVE (Collaborative Immersive Virtual Environment) education, encompassing educational lessons and methods and the eDIVE platform, an original software solution designed for formal and non-formal education. Such a holistic and complex approach was employed to bring the actual implementation of CIVE a step forward finally. The rise of IVR (immersive virtual reality) technology, particularly head-mounted displays (HMDs), has enabled extensive use of this medium in education. However, this has led to new questions and needs concerning its practical utilization, including what software tools and functions to prioritise and how to implement this new medium in educational systems. Drawing on the results of previous research, the authors designed a new platform, teaching methods, and educational content that take advantage of CIVE, validating the solution by deploying it directly in both formal education at universities and high schools and non-formal education as part of the library system. To effectively deploy CIVE, it is essential to consider all three levels simultaneously: technological, instructional, and institutional. For example, the eDIVE platform was designed to allow collaboration in a fully immersive environment using HMDs, while also offering the possibility to participate using a conventional 2D user interface to ensure inclusivity. From an instructional design perspective, there is a need to move away from learning methods that have merit and advantages based in a real-world environment but fail to exploit the potential and strengths of the new medium fully. Conversely, it is necessary to reflect on the limits of CIVE and avoid topics and practices for which conventional RE (Real Environment) is more effective. At the institutional deployment level, appropriate forms of teaching need to be sought or existing ones adapted, such as synchronous distant learning through library networks. On the other hand, mass deployment of VR HMDs into mainstream classrooms and standard time-limited lessons has proved ill-suited. There are many creative and effective ways to use CIVE. Still, it is advisable to reflect on the limitations of the technology and instead use it primarily for topics in which its full potential will be utilised to the maximum extent possible.
On the Calculation of Invariant Tensors in Gauge Theories

We present an efficient method for finding the independent invariant tensors of a gauge theory. Our method uses a theorem relating invariant tensors and D-flat directions in field space. We apply our method to several examples-- SO(3) with symmetric tensors, SU(2) with a dimension 4 representation, and SU(3) with matter in the sextet-- and find the set of independent invariant tensors in these theories.
Electronic Design for Wearables Devices Addressed from a Gender Perspective: Cross-Influences and a Methodological Proposal

The design of wearable devices has been approached from many perspectives over the years, mainly from a functionality, electronics, mechanics, usability, wearability, or product design perspective. However, there is a missing point in these approaches: the gender perspective. Gender intersects with every approach and, considering the interrelationships and dependencies, can achieve a better adherence, reach a wider audience, and even change the conception of the wearables design paradigm. The electronics design addressed from a gender perspective must consider both the morphological and anatomical impacts and those emanating from socialization. This paper presents an analysis of the different factors to consider when designing the electronics of a wearable device, including the functionality to implement, sensors, communications, or the location, together with their interdependencies, and proposes a user-centered methodology that contemplates a gender perspective at every stage. Finally, we present a use case that validates the proposed methodology in a real design of a wearable device for the prevention of gender-based violence cases. For the application of the methodology, 59 experts have been interviewed, 300 verbatims have been extracted and analyzed, a dataset from the data of 100 women has been created and the wearable devices have been tested for a week by 15 users. The electronics design needs to be addressed from a multidisciplinary approach, by rethinking the decisions taken for granted and analyzing the implications and interrelationships from a gender perspective. We need to enroll more diverse people at every design stage and include gender as one of the variables to study.
Accountable Proxy Re-Encryption for Secured Data Sharing

Abstract: Proxy re-encryption (PRE) provides a promising solution for encrypted data sharing in public cloud. When data owner Alice is going to share her encrypted data with data consumer Bob, Alice generates a re-encryption key and sends it to the cloud server (proxy); by using it, the proxy can transform Alice’s ciphertexts into Bob’s without learning anything about the underlying plaintexts. Despite that existing PRE schemes can prevent the proxy from recovering Alice’s secret key by collusion attacks with Bob, due to the inherent functionality of PRE, it is inevitable that the proxy and Bob together are capable to gain and distribute Alices decryption capabilities. Even worse, the malicious proxy can deny that it has leaked the decryption capabilities and has very little risk of getting caught. To tackle this problem, we introduce the concept of Accountable Proxy ReEncryption (APRE), whereby if the proxy is accused to abuse the re-encryption key for distributing Alice’s decryption capability, a judge algorithm can decide whether it is innocent or not. We then present a non-interactive APRE scheme and prove its CPA security and accountability under DBDH assumption in the standard model. Finally, we show how to extend it to a CCA secure one.
KEMAMPUAN SISWA DALAM MEMBEDAKAN KATA BAKU DAN KATA TIDAK BAKU DI KELAS VIII SMP NEGERI 3 GUNUNG MALELO, KECAMATAN KOTO KAMPAR HULU, KABUPATEN KAMPAR, PROVINSI RIAU

This study aims to test students' ability to distinguish between standard and non-standard words in class VIII SD Negeri 3 Gunung Malelo. This study used a descriptive quantitative research method involving 20 students as respondents. Data was collected through a questionnaire containing the selection of standard words and non-standard words using the Google form. The results showed that the students' ability to distinguish between standard and non-standard words reached the moderate category with an average score of 84. Statistical analysis showed that there was a difference between the scores of male and female students, with an average male of 84.29 and women at 83.85. In addition, the data also shows that students tend to have a low understanding of the use of standard and non-standard words. Based on the results of the chi test of one sample, the research hypothesis was accepted and the average student score was 80. This study concluded that efforts were needed to improve students' ability to distinguish between standard and non-standard words in class VIII SD Negeri 3 Gunung Malelo.
Blockchain Business Model and Security

Abstract: Blockchain has become the most mentioned or a trending topic on the internet. Today, it is used for many purposes such as smart contracts, keeping records of financial data for banks, data management for government agencies or servicesbased companies, etc. Blockchains are phlebotomizing money. Now a day there is a plethora of different networks or tokens available. Each and every token and network has its own pros and cons. You can use this cryptocurrency to purchase goods or services on the platform or transfer it to various exchanges. But the point is how this token or cryptocurrency generates revenue from providing different services. How are individual networks able to be upheld value in the blockchain market? This research aims to know what are the different ways through which a blockchain company makes money and what things are important to run a profitable blockchain company and also researches what kind of vulnerability and problems occur in the blockchain. Blockchain networks are not immune to cyberattacks and fraud. Through this, we hope to increase the transparency of the Blockchain Business model to enhance the public's trust in blockchain networks and help to make a decision on which blockchain networks are profitable and good for future investments.
Application of Expert System Identification of Horticultural Plant Diseases with Certainty Factor and Forward Chaining for Smart Village Concept Development

Purpose: This research was conducted to help identify diseases early and provide suggestions for recommendation systems for these plants in general that are beneficial for farmers.Design/methodology/approach: This research goes through several stages, namely planning , analysis, design, and implementation.Findings/result: CLIPS-based Horticultural Plant Disease Identification Expert SystemOriginality/value/state of the art: In the process of diagnosing plant diseases, it requires the accuracy and thoroughness of an expert or experts on symptoms that indicate a disease because of the similarity of these symptoms. Misdiagnosis of existing symptoms causes differences in the results of the diagnosis with the actual disease suffered by the plant. Along with the development of technology, a system was devised that would help report early identification of diseases and provide suggestions for recommendation systems for these plants in general that are beneficial to farmers.
Pengembangan Media Pembelajaran Fisika Berbasis Aplikasi Android Menggunakan iSpring Suite 10

Sistem pembelajaran di SMA Negeri 1 Grobogan pada kelas X masih menerapkan proses pembelajaran satu arah, pemanfaat media pembelajaran interaktif berbasis teknologi belum dimaksimalkan oleh pendidik. Penelitian ini bertujuan untuk menghasilkan media pembelajaran Fisika berbasis aplikasi android yang layak diuji cobakan ke peserta didik sebagai salah satu sumber belajar mandiri untuk kelas 10 semester gasal. Penelitian ini menggunakan metode Penelitian dan Pengembangan (R&amp;D) yang memiliki lima tahap, meliputi potensi dan masalah, studi literatur/pengumpulan data, desain produk, validasi desain, dan desain teruji. Aplikasi yang dikembangkan divalidasi oleh tiga validator ahli dan tiga validator praktisi. Pengumpulan penilaian produk dilakukan dengan memberikan lembar validasi kepada validator ahli dan validator praktisi untuk mengetahui tingkat validitas aplikasi yang telah dikembangkan. Data terkumpul kemudian dilakukan analisis dengan mengubah ke bentuk persentase. Hasil penilaian menunjukkan bahwa produk aplikasi yang dikembangkan mendapatkan rata-rata keseluruhan sebesar 86,67% oleh validator ahli dengan kategori sangat layak sementara rata-rata persentase penilaian oleh validator praktisi sebesar 93,03% dengan kategori sangat layak. Persentase penilaian tersebut dapat disimpulkan bahwa media pembelajaran Fisika berbasis aplikasi android dapat diuji cobakan ke peserta didik.Kata kunci: android, Fisika, e-modulAbstract. The learning system at SMA Negeri 1 Grobogan in grade 10 still applies a one-way learning process, the use of technology-based interactive learning media has not been maximized by educators. This study aims to produce an Android application-based Physics learning media that is worthy of being tested on students as a source of independent learning for grade 10 odd semesters. This study uses the Research and Development (R&amp;D) method which has five stages, including potential and problems, literature study/data collection, product design, design validation, and tested design. The developed application was validated by three expert validators and three practitioner validators. The collection of product assessments is carried out by providing validation sheets to expert validators and practitioner validators to determine the level of validity of the applications that have been developed. The collected data is then analyzed by converting it to percentage form. The results of the assessment show that the application product developed gets an overall average of 86.67% by expert validators in the very feasible category while the average percentage of assessment by practitioner validators is 93.03% in the very feasible category. The percentage of these assessments can be concluded that the Android application-based Physics learning media can be tested on students.Keywords: android, Physics, e-module
Sentiment Analysis of Cryptocurrency Exchange Application on Twitter Using Naïve Bayes Classifier Method

Purpose: The growth and development of the digital currency industry also presents a variety of applications for conducting transactions using these currencies, including utilizing cryptocurrency exchanges to make investments. InI ndonesia, there are two applications that fall into the category of the largest cryptocurrency exchange and are recognized by Bappebti (Commodity Futures Trading Regulatory Agency), namely TokoCrypto and Indodax. Both applications are analyzed based on the sentiments of their users on Twitter.Design/methodology/approach: In this study the data collected is data originating from social media Twitter and has the keywords "indodax" or "#indodax" and "tokocrypto" or "#tokocrypto". The data used is between January 2021 – January 2022. The data collected from Twitter is processed using the Naïve Bayes Classifier algorithm.Findings/result: From the results of the analysis, it was found that the Indodax application has a higher positive sentiment percentage value of 9% compared to TokoCrypto.Originality/value/state of the art: The use of the Naïve Bayes algorithm in this study supports sentiment analysis of cryptocurrency exchange application users to consider which application has better positive sentiment for investing in digital currency or cryptocurrency.
ANALYSIS OF IMPOLITENESS UTTERANCES AS REFLECTED IN “THE WRONG STEPMOTHER" MOVIE

This study aimed to analyze the impoliteness utterance that reflected in literary work, especially in a movie. The data source used in this article is The Wrong Stepmother Movie. This research used the theory of Pragmatic related with impoliteness and Culpeper (2011). The method used in this research is Qualitative method. From the research analysis and finding it can be concluded. All strategies and types of impoliteness are found in “The Wrong Stepmother” movie. These are bald on record impoliteness, positive impoliteness, negative impoliteness, sarcasm, or mock politeness and last withhold politeness. From the findings, there were found strategies that often occurred which is positive impoliteness with the total 13 data or 39%, followed bald on record impoliteness with 7 data or 21%, sarcasm or mock politeness with 7 data or 21%, negative impoliteness with 4 data or 13%, and the last is withhold politeness least used with 2 data or 6%. The types of impoliteness found in this research were also found. These are affective impoliteness with 18 data or 58%, next coercive impoliteness with 7 data or 23%, and last is entertaining impoliteness with 6 data or 19%. The most dominant occurred in strategy impoliteness is positive impoliteness and in types of impoliteness is affective impoliteness.
A unified construction for series representations and finite approximations of completely random measures

Infinite-activity completely random measures (CRMs) have become important building blocks of complex Bayesian nonparametric models. They have been successfully used in various applications such as clustering, density estimation, latent feature models, survival analysis or network science. Popular infinite-activity CRMs include the (generalized) gamma process and the (stable) beta process. However, except in some specific cases, exact simulation or scalable inference with these models is challenging and finite-dimensional approximations are often considered. In this work, we propose a general and unified framework to derive both series representations and finite-dimensional approximations of CRMs. Our framework can be seen as an extension of constructions based on size-biased sampling of Poisson point process [Perman1992]. It includes as special cases several known series representations as well as novel ones. In particular, we show that one can get novel series representations for the generalized gamma process and the stable beta process. We also provide some analysis of the truncation error.
Computational literature – creation under the auspices of AI and GPT models

In this article is presented the impact of GPT natural language processing models and the evolution of AI on the computational literature. Analyzing the structuring and functioning of these neural networks based on observation, learning (pre-training) and NLP mechanisms, we present the features of GPT models, the range of tasks they can perform, the advantages and risks of their implementation in literary creation. By processing enormous amounts of text to learn how the relationships between natural language words are structured, GPT models can generate both scientific and literary texts. An example of this is the work generated by GPT-3: 1 the Road by Ross Goodwin and Sunspring by Oscar Sharp and Ross Goodwin, presented in this study. The implementation of GPT models in the creative process is also manifested through a set of tools such as: Talk to Transformer, GPT-3 Creative Fiction, Copy.ai, AI Dungeon, etc. Researchers such as Thomas Hornigold, Mark Riedl and others warn that GPT models, although well-versed in various fields, cannot simulate human emotional intelligence, creativity and narrative intelligence, remaining creative tools but not perfect creators.
Email color-coded system to reduce spamming e-mails

Email spam, also known as junk email, is one of the unpleasant and frustrating aspects of modern communication and marketing. It can be especially bothersome when received frequently and when recipients are not interested in the content being received. So-called predatory publishers are particularly active in this regard. Junk emails waste valuable resources including time, energy, bandwidth, and storage space, which could be better utilized. Email filters are not always effective, causing important messages to be mistakenly marked as spam and real spam messages still find their way into the inbox.One potential solution to this problem is to introduce a color-coded system for email addresses. For example, a red email address (example@example.com) could indicate that the recipient does not want to receive any unsolicited messages. A blue address (example@example.com) might indicate that they are open to non-solicited emails but not necessarily marketing or promotional emails. A green email address (example@example.com) could indicate that the owner is open to receive any kind of unsolicited email, including promotional ones. Email providers can set up customizable options to let users select the type of email color/category they opt for at the time of email creation. Currently, email addresses are generally displayed by default as blue links but with a new color-coded system, they will have a new signification (open to receive unsolicited messages but not for marketing or promotional purposes). If a recipient's email address is marked as red and they still receive spam messages, one further approach to reduce spams is to develop and use a "spamback" or "antispam" button in the email features to send the spammer's own messages back to them thousands of times at regular intervals (for e.g., 5, 10, 15, or 30 minutes) to scatter within his own real messages. This could be scheduled to be sent back to spammers if the spammer sends three junk emails and more. To prevent any phishing attempts, the antispam button should send messages from an alias or disposable email address that have nothing to do with the sender’s real email. By doing so, the spammers or potential hackers cannot have confirmation of the actual email. Receiving thousands of messages in response to their own spams may make the spammers think twice before engaging in future spamming activities. Using a color-coded system for email addresses and a dedicated email button for “spamback” or “antispam” could be an efficient way to discourage spammers from spamming.
On the finiteness of the moments of the measure of level sets of random fields

General conditions on smooth real valued random fields are given that ensure the finiteness of the moments of the measure of their level sets. As a by product a new generalized Kac-Rice formula (KRF) for the expectation of the measure of these level sets is obtained when the second moment can be uniformly bounded. The conditions involve (i) the differentiability of the trajectories up to a certain order k, (ii) the finiteness of the moments of the k-th partial derivatives of the field up to another order, (iii) the boundedness of the joint density of the field and some of its derivatives. Particular attention is given to the shot noise processes and fields. Other applications include stationary Gaussian processes, Chi-square processes and regularized diffusion processes. AMS2000 Classifications: Primary 60G60. Secondary 60G15.