Reviewerly/exHarmony huggingface dataset:
DEVELOPMENT OF E-MODUL BASED ON HIGH ORDER THINKING SKILL PROBLEM WITH STUDENTS TEAM ACHIEVEMENT DIVISION OF LEARNING MODEL IN ALGEBRA

The lack of media and learning facilities, and the lack of Higher Order Thinking Skills (HOTS) questions, makes learning less exciting and monotonous. This study aims to develop e-modules based on HOTS questions with Student Team Achievement Division (STAD) learning models and determine the quality of e-modules developed. This study refers to the ADDIE model with Analyze, Design, Development, Implementation, and Evaluation stages. This study's subjects were teachers and 7th-grade students of Junior High School (SMP) Muhammadiyah Ngemplak and SMP Negeri 2 Ngemplak. This study's object is an e-module based on HOTS questions with STAD learning models on algebraic form material. Data collection techniques using a questionnaire assessment by material experts, media experts, and students. Data analysis techniques in the form of qualitative descriptive analysis and quantitative descriptive. The results showed that material experts in the aspects of conformity, completeness, convenience, and clarity received values of 86%, 80%, 87%, and 88%, respectively. The media experts in effectiveness, ease, suitability, completeness, and communicative and interactive scores were 93%, 93%, 92%, 90%, and 92%. The average results of student responses from the two schools on convenience, clarity, suitability, appearance, attractiveness are 90%, 90%, 90%, 94%, and 92%. So it can be concluded that the e-module produced is classified both in terms of material, very good in terms of media, and very practical in its use.
User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems

Recognition errors are common in human communication. Similar errors often lead to unwanted behaviour in dialogue systems or virtual assistants. In human communication, we can recover from them by repeating misrecognized words or phrases; however in human-machine communication this recovery mechanism is not available. In this paper, we attempt to bridge this gap and present a system that allows a user to correct speech recognition errors in a virtual assistant by repeating misunderstood words. When a user repeats part of the phrase the system rewrites the original query to incorporate the correction. This rewrite allows the virtual assistant to understand the original query successfully. We present an end-to-end 2-step attention pointer network that can generate the the rewritten query by merging together the incorrectly understood utterance with the correction follow-up. We evaluate the model on data collected for this task and compare the proposed model to a rule-based baseline and a standard pointer network. We show that rewriting the original query is an effective way to handle repetition-based recovery and that the proposed model outperforms the rule based baseline, reducing Word Error Rate by 19% relative at 2% False Alarm Rate on annotated data.
Applying games design thinking for scientific data visualization in virtual reality environments

This paper proposes the application of games design thinking in the development of Virtual Reality (VR) and Augmented Reality (AR) experiences for scientific data visualization. We start by introducing the design challenge and how we have approached the design of immersive experiences by using principles of games design. For that, we discuss the case of the design and development of visualization of orbits and earth observations data in both VR and AR environments. Limitations and potential outcomes are discussed and addressed in both cases, including the limitations of the technologies proposed. We conclude this paper with recommendations for the use of games design thinking applied in this context and how scientists, artists and designers could collaborate in future projects.
EC P-256: Successful Simple Power Analysis

In this work we discuss the resistance of atomic pattern algorithms for elliptic curve point multiplication against simple side channel analysis attacks using our own implementation as an example. The idea of the atomicity principle is to make kP implementations resistant against simple side channel analysis attacks. One of the assumptions, on which the atomicity principle is based, is the indistinguishability of register operations, i.e. two write-to-register operations cannot be distinguished if their old and new data values are the same. But before the data can be stored to a register/block, this register/block has to be addressed for storing the data. Different registers/blocks have different addresses. In praxis, this different and key dependent addressing can be used to reveal the key, even by running simple SCA attacks. The key dependent addressing of registers/blocks allows to reveal the key and is an inherent feature of the binary kP algorithms. This means that the assumption, that addressing of different registers/blocks is an indistinguishable operation, may no longer be applied when realizing kP implementations, at least not for hardware implementations.
Destroy Covid19: 3D E-Book in Augmented Reality & Games Application

Coronavirus Disease 2019 (COVID-19) has become a major health problem causing severe acute respiratory illness in humans. The viruses are spreading quickly across the world. Unfortunately, with the advancement of today's technology, learning about Covid-19 that affects the world can make the reader understand how dangerous this virus can affect the whole world. This research aims to build an interactive method of learning by using Augmented Reality (AR). To make people aware of the Covid-19 disease, Destroy Covid-19 was developed. Augmented Reality (AR) was chosen as a platform for Destroy Covid-19 since it is the most current and motivating technology to attract users. It can increase learning and deliver knowledge more effectively, straightforward and exciting. A physical activity mobile game was created using the Unity game engine and augmented reality. The principles of E-book visualization have been used, and the application for games makes the information browsing process much fun and more accessible. The application was developed by using ADDIE, Analysis, Design, Development, Implementation, and Evaluation to follow the concept. An evaluation has been conducted and based on the result, positive feedback from the respondents where obtain there are satisfying and prefer to use this application. The respondent feels like there get fully aware of this disease.
Review Paper on Image Enhancement Using Various Methods

Image enhancement methods were used to modify the images that were accepted as visual perception. Image enhancement methods mainly used for image contrast. Histogram compensation, used in the form of the cumulative distribution function (CDF), is one of the challenging factors in image processing. The goal of the enhancement is to improve the structural look of an image without impairing the input image. The enhancement techniques make it easier to identify key features by removing noise and other artifacts from an image. This article discusses studies to implement image enhancement in specific areas such as satellite imagery, infrared imagery, medical imagery and digital entertainment imagery, as well as information from the image enhancement method used. Keywords: Image enhancement, AHE, Histogram Equalization, CLAHE, spatial domain image, frequency domain method, etc. Cite this Article: Manish Sharma, Ashish Dubey, Prashant Badal. Review Paper on Image Enhancement using Various Methods. International Journal of Image Processing and Pattern Recognition. 2020; 6(1): 27–35p.
CLOUD COMPUTING PROTECTION ISSUES

Cloud computing is considered to have many prospective benefits and many business systems and knowledge migration to the public cloud or hybrid cloud. But with respect to others Business-critical applications, organizations, particularly large organizations, Businesses wouldn't transfer them to the cloud at all. The Scale of the Competition shared cloud computing is still far behind the one that was planned. Cloud computing protection, from the perspective of consumers, Concerns, especially issues of data security and protection of privacy, the key inhibitor of cloud computing adoption is still the primary inhibitor of Services. In this paper we discuss cloud computing security issues and data security and privacy protection issues.
A REVIEW ON SENSORS FOR TRACKING THE SUN POSITION

A brief review of current advances of sun location sensors used in solar technology like photovoltaic modules, satellites, solar collectors and other applications is provided in this paper. In depth, the operating principles and geometric designs of many types of sensors for sun location are discussed. The research takes into account the assessment of the advantages and disadvantages of different design criteria, such as accuracy, solar Tracking failures, desired properties, field of view (FOV) and marketing, and the assessment of external parameters influencing the performance of sun location sensors (climate conditions: solar radiation, pollution and temperature); On the other end, it was reported in various studies that the major obstacles for this technology are which requires a solution are: cost-effectiveness, temperature operating range and efficient transmission of information, so that future studies can focus on these issues.
QPSetter: An Artificial Intelligence-Based Web Enabled, Personalized Service Application for Educators

Setting a question paper is an integral activity of a teaching-learning process, it is more so in formal education systems such as schools, colleges and Universities. At times, it becomes a tricky and annoying act for the tutor to divert oneself from main stream teaching and spend time thinking about setting a question paper on the intended topic. This paper presents an Artificial Intelligence powered, web enabled, personalized service application for the educators to automatically set up a question paper on the selected topic/syllabus. The application allows the setter to choose the type of the questions, type of headers, number of allotted marks etc. and in a click of a button the question paper is displayed in the desired format. The application silently scrapes the relevant web content in the background and creates a database of questions with topics, weights, and levels of difficulty. The application also allows the user to enter the questions manually and integrates them into the database. The application has an answer database module to couple the correct answers with the questions. The AI component of the application works on text mining and content classification. It also assists in suggesting questions on the supplied text content. The application allows the user to have a simple login and explore the QPSetter for the personal usage. This application is useful for all levels of tutors who want to automatically set the question papers. It helps in preserving, confidentiality, integrity of the question papers along with helping in a quick time question paper setting.
Developed Lightweight Cryptographic Algorithms for The Application of Image Encryption: A Review

As a consequence of the fast evolution of information technology, a substantial amount of digital information is created and disseminated over various kinds of networks. The digital image represents one of the most commonly utilized formats of digital data since it has a straight visual effect. Moreover, a digital image holds important possibilities and extra information, for instance, personal photographs are capable of conveying the persons' physical appearance as well as other details like their ages and health. So, it is significant to protect digital images from unauthorized accessing that certainly specifies the need for developing efficient lightweight cryptographic algorithms to ensure the digital images' privacy. In this review paper, several developed lightweight cryptographic algorithms and their application in digital image encryption were presented. Additionally, a comparative analysis of the recently existing related works was achieved for these developed algorithms.
한영 법령 번역에서 이중주어 구문 번역 양상

Dual-subject construction―which is found in the language of Korean law―is one of the unique features of the topic-prominent Korean language. The first subject in a dual-subject sentence in Korean source texts is often the sentence topic. This paper presents an examination of dual-subject sentences in the Criminal Act, Administrative Procedure Act, Foreign Investment Promotion Act and Civil Act and considers how the two subjects, N1 and N2, were translated into English. First, we identified 41 dual-subject phrases from 38 sentences in the four Korean statutes and analyzed them according to Yang (1989). Second, we examined how the dual subjects were translated into English based on Chae’s (2010) categorization of translation types of dual subjects. Our analysis indicated that in English translations, either N1 or N2 of the source text served as the subject. When N1 of the Korean source text was translated into a subject in English, N2 of the source text played various roles either as an object, complement, component of a verbal phrase or a prepositional phrase. N2 also worked as an adjective phrase, serving to describe N1, the subject. Conversely, when N2 became a subject in the English translations, N1 tended to be omitted in the translated dual-subject clauses. In this study, we identified seven types of English translations of dual-subject sentences of Korean statutes, including two types that were not found in Chae’s (2010) work. The findings suggest that given the different and diverse roles of N1 and N2, despite their seemingly subject-like features, translators need to determine the semantic relationship of N1 and N2 when translating dual-subject statutes into English.
Continuous variable quantum secret sharing using directly modulated lasers

Quantum secret sharing (QSS) allows multiple players to achieve unconditional secure communication through an unsecure quantum channel; however, the actual implementation requires a modulator with a high extinction ratio, which means high system expense and miniaturization and commercialization difficulties. In this paper, we propose a continuous variable QSS scheme that can replace the traditional lasers and modulators with directly modulated lasers (DML). Each player prepares quantum states through a DML and sends the signal light to the dealer through a beam splitter into a quantum channel. The method provides a new way for realizing secret key sharing. Moreover, we introduce the chirp estimation algorithm to realize the phase modulation, which can achieve a two-dimensional modulation scheme under a single laser.
Identification of Right Ventricle Based on Adaptive UNet Architecture from Cardiac MR Images

The anatomical functionality of the heart can be described very well using cardiac MR images. In cardiac MR images, the role of right and left ventricle delineation is very important. The right ventricle cardiac image segmentation is more critical due to the crescent varying shape of the organ and its fuzzy borders.This paper presents Adaptive UNet architecture with varying depths to identify suitability for our selected subjects. We introduce our contribution for building four kinds of UNet models based on varying hyper-parameters of the architecture and tested on eighteen patients’ data set selected images till end-systole. The UNet4 model has achieved accuracy up to 94%. Training any network for any irregular-shaped organ shows better accuracy in the deep learning method at the cost of time to train the model. But this proposed Adaptive UNet architecture takes less time to train and can be applicable for a limited data set and give predictions with promising results. Due to continuous blood flow, the difficulty in delineating RV can be overcome with this Adaptive UNet architecture as it is less effective to connected object classes.
Dunkin’ the donut: a study on students’ patterns of language use through technology applications in independent language learning / Norizul Azida Darus and Norhajawati Abdul Halim

Any language can be acquired at any time, but to acquire the language, one needs to learn the language. Learning a second or foreign language is not a favourite among second or foreign language learners. This is because learning a language is a very intense time-consuming activity. Learning is often unsuccessful because learners receive impoverished or insufficient input and lack of motivation. To this, second language or foreign language teachers play the most significant role to help and motivate the students to acquire the said language. The preferred method is to be immersed into the actual ecosystem of the target language and become part of the language ecosystem. The other way is to dunk the learners into the artificial ecosystem of the language classroom. In dunking, the learners are immersed temporarily and repeatedly into the simulated ecosystem language. As can be seen now, technology remains the only viable option to get enough interactive contact with the target language. Using interesting software is one of the methods in making learning more interesting. Furthermore, the students are able to practice the language not only during class time, but on their own free time outside of class hours, that is during students’ independent time of learning. The findings revealed that most students found using the applications has improved their language learning. The role of teachers on the other hand is to provide instructions and assist whenever necessary and needed by the students.
Magnetic Dumbbell / Tuan Muhammad Faizzuddin Tuan Noor Marzuki

Nowadays, fitness industry looking more interested in fitness product where people would like to have their own fitness tool such as dumbbell. Today, many types of dumbbell are produced in variety looks, style, colours and the benefits itself. Each of the people has their own dreams dumbbell concepts that they interested of. My company’s name is 3F Enterprise. I am choosing this name because 3F stand for Faiz Future Fitness. I take Faiz which my own name and Future Fitness describe my product about a future dumbbell. I bring this concept to show to people that I am giving and providing the new product in industry that will help people use it at ease. 3F Enterprise is a company that produces products in the fitness industry. We produce a magnetic dumbbell that based on current technology. This magnetic dumbbell provided with unique technology which can give attraction to the customer. As a variation, my company produces magnetic dumbbell by referring the technology in current world.
Rancang Bangun Sistem Informasi Kepegawaian Studi Kasus : PT. Mitra Jasa Indonesia

PT. Mitra Jasa Indonesia is a company engaged in services in the city of Surakarta. Work activities carried out in the company PT. Mitra Jasa Indonesia includes data collection on employee personal data, employment, salary data, data collection of incoming and outgoing letters, and data collection on clients who understand the company, from salary data it can be printed in the form of salary slips and incoming mail data can be printed. Data collection is still manual that is relying on Ms. Word and Ms. Excel and also the general ledger as a backup of the data. The personnel information system is designed based on manual data collection activities from the company, with the aim that the company can develop according to the modern era where there is a need for a data collection information system to make it easier to carry out activities. The Personnel Information System is designed using the Waterfall method, PHP programming language, Codeigniter framework, Bootstrap design, and a MySql website-based database. The results of the blackbox test were declared valid and the SUS test was categorized as good and acceptable. The personnel information system is able to record all information in the form of employee information, incoming and outgoing letters, types of work, partner clients, and salary calculations for employees, so that the process is more effective, efficient, and maintains the integrity of company data.
Improving the ability to write simple recount texts for class VIIIA students of SMPN 3 Muara Bungo through the use of example non example methods, media pictures, apuzzle words and a lottery boards.

In accordance with the title of classroom action research, the subjects of the research are class VIIIA students of SMP Negeri 3 Muara Bungo in the even semester of the 2018/2019 school year, some of whom have more abilities and others have medium average abilities. The learning process in the first cycle using the Example Non example model, media pictures, a puzzle words and a lottery boards in making recount text has not been able to improve student learning outcomes, because only 56.25% or 18 students succeeded. However, in cycle II it can reach 81.25% or 26 students who are successful and there is an increase to reach 37.5%. Therefore, it can be said that using 2 cycles in this Classroom Action Research (CAR) to improve student learning outcomes, the average value of students with success criteria is &gt; 5.6.
Acknowledgement for Authors and Reviewers

Above all else I express genuine thankfulness to all authors and reviewers of the International Journal of Advancement in Technology (IJOAT) in the interest of the whole publication board and the publisher. It was with the negligible co-activity, excitement, and soul of the authors and reviewers we could make IJOAT a fantastic achievement. Authors have been a genuine inspiration and key in setting up IJOAT among one of the best journal for publication in the subject of Technology. I express gratitude toward them all in considering and trusting IJOAT as the stage for publishing their significant work. I additionally thank all authors for their caring co-activity stretched out during the different phases of processing of the articles in IJOAT.
Turning Your Strength against You: Detecting and Mitigating Robust and Universal Adversarial Patch Attack.

Adversarial patch attack against image classification deep neural networks (DNNs), in which the attacker can inject arbitrary distortions within a bounded region of an image, is able to generate adversarial perturbations that are robust (i.e., remain adversarial in physical world) and universal (i.e., remain adversarial on any input). It is thus important to detect and mitigate such attack to ensure the security of DNNs. This work proposes Jujutsu, a technique to detect and mitigate robust and universal adversarial patch attack. Jujutsu leverages the universal property of the patch attack for detection. It uses explainable AI technique to identify suspicious features that are potentially malicious, and verify their maliciousness by transplanting the suspicious features to new images. An adversarial patch continues to exhibit the malicious behavior on the new images and thus can be detected based on prediction consistency. Jujutsu leverages the localized nature of the patch attack for mitigation, by randomly masking the suspicious features to remove adversarial perturbations. However, the network might fail to classify the images as some of the contents are removed (masked). Therefore, Jujutsu uses image inpainting for synthesizing alternative contents from the pixels that are masked, which can reconstruct the clean image for correct prediction. We evaluate Jujutsu on five DNNs on two datasets, and show that Jujutsu achieves superior performance and significantly outperforms existing techniques. Jujutsu can further defend against various variants of the basic attack, including 1) physical-world attack; 2) attacks that target diverse classes; 3) attacks that use patches in different shapes and 4) adaptive attacks.