Reviewerly/exHarmony huggingface dataset:
Reducing the resources needed to implement quantum error correction codes using quantum multiplexing

Quantum error correction is an indispensable tool for quantum technologies. However, its implementation requires significant physical resources. Here, we reduce the number of two-qubit gates required to implement an error correction code using quantum multiplexing.
Physical Layer Encryption Based on a Cascading Method of Inter-domain Scrambling and Phase Perturbance in CO-OFDM System

A physical layer encryption scheme using Arnold transform and discrete fractional Fourier transform is proposed to realize inter-domain scrambling and phase perturbance. Simulations show that security performance is enhanced with key space of 10 96 .
Plasmon-enhanced single photon source on an optical nanofiber

We study a gold nanoparticle-quantum-dot coupled system on an optical nanofiber, serving as enhanced single photon source in a fiber-based communication network. Purcell enhancement and degree-of-polarization enhancement are considered for two different types of nanoparticles.
Resolution of quantum phase measurements using multi-photon states

We discuss the effects of multi-photon coherence on the probability of successfully distinguishing two different phase shifts in a single measurement of the photon number distribution in the output of an interferometer.
Modelo Inteligente Utilizando Grafos para Previsão da Potência Gerada por Módulos de Painéis Fotovoltaicos

The growth in demand for electricity in the world has intensified the alternative use of renewable energy sources such as solar energy. Solar panels are structures composed of photovoltaic cells, responsible for absorbing solar radiation and transforming it into electrical current. Photovoltaic Systems (PV system) performance analysis mainly helps to reduce energy loss and maintenance costs. However, most existing solutions for performance analysis need technical knowledge and often neglect spatial and temporal dependencies. In this paper, it is proposed a spatial-temporal graph neural network with the objective of automating the analysis of the PV system functioning. The classic technique using statistical models of time series is used for comparison purposes. The model adjustment was performed to predict future values, and performance metrics considering the model error were used to define the best fitted model. The model using neural networks and graphs presented better performance than the classic one, showing that considering the structure of the system is very relevant in the performance analysis.
ANALISIS KELAYAKAN APP-INVENTOR SEBAGAI BAHAN AJAR MATAKULIAH MOBILE PROGRAMMING MENGGUNAKAN METODE SYSTEM USABILITY SCALE

Media in the learning process is a tool or intermediary in the delivery of learning material that can provide more knowledge and experience to students. The advantage of App Inventor lies in the ease of programming, where users do not need to have basic programming knowledge, understand code, or have experience in IT, but the most important thing in making applications using App Inventor is how programmers use logic like when someone puts together a puzzle. . In this research, a feasibility study and analysis was carried out using the System Usability Scale (SUS) method so that it could improve the quality of learning and the novelty of teaching materials in the Makassar Professional STMIK environment. The sampling technique used in this research is random sampling or probability sampling. Based on the results of the recapitulation of the respondents' assessment, the average usability of the system was 72.83, then the grade of the assessment was determined. It was concluded that the results of the Recap of Usability Values showed that all attributes had a usability acceptance value by the user, the average value was above 68.00, namely 72.83. For Android users to be able to use APP-Inventor properly so that it is useful to support special learning activities in the Mobile Programming course.
Using Artificial Intelligence (AI) and Internet of Things (IoT) for Improving Network Security by Hybrid Cryptography Approach

Cryptography is defined as the analysis of encryption or secretive writing of information with the use of mathematical & logical concepts in order to prevent data from being compromised.Because of the growing security issues around Internet of Things (IoT) & artificial intelligence (AI) based applications, this method has gained in significance in computer technologies for banking & healthcare systems, transportation, as well as other implementations.Although each cryptographic strategy is designed to have its own unique strength, the application of a single cryptographic strategy into a systems has certain drawbacks, as will be discussed below.For example, the symmetric key encryption approach is a cost-effective way of protecting information that does not sacrifice security in the process.The distribution of the private key, on the other hand, is a significant issue.The asymmetrical method, on either side, overcomes the problem of private key transmission; nevertheless, the independent approach is slower and uses more computer resources as comparing to symmetric encryption.While a hash function, on the other hand, produces a distinctive & fixed-length signatures for a communication in order to ensure information security, the technique is just a one-way function that is not possible to reverse.As an option to addressing the security flaws of individual cryptographic schemes, the inclusion of many cryptographic schemes, also known as the hybridization approach, is being suggested, which has the advantage of increasing the efficiency of information security while also discussing the problem of key transfer.Existing IoT & AI domains that have adopted hybrid methods have been recognized, and a study has been carried out as per classification of the domain under consideration.The security of the networks and the data sent over the network is a top priority for network providers or network operators.As a result, cryptographic methods are used to protect the data throughout the data exchange process and during different interactions.Traditional cryptographic methods, on either side, are well-known, because hackers are aware of the answer to the problem.As a result, a fresh type of cryptographic method is needed, one that increases the security & complexities of the data encryption while maintaining its simplicity.An innovative hybrid cryptographic approach for enhancing data security throughout networks transmission is presented in this article, and the consequences of its implementation and evaluation are discussed.Throughout a comparative performance study, the suggested cryptographic method was able to identify the most efficient & enhanced encrypted message.
Blockchain Governance: Challenges and Opportunities for Decentralized Decision-Making

Abstract Blockchain technology has recently gained increasing attention due to its potential for creating secure, transparent, decentralized systems. One of the main benefits of blockchain is its ability to facilitate decentralized decision-making using smart contracts and distributed ledgers. This article explores the challenges and opportunities of blockchain governance for decentralized decision-making, focusing on developing mathematical algorithms to enhance the decision-making process. The methodology used in this article involved collecting data from various sources, organizing, and analyzing using statistical software.
User Analysis of Info BMKG Application in The Perspective of Human Computer Interaction Using Support Vector Machine Algorithm

On the Google Play Store, users often read other users' app reviews and reputations, before downloading an app. This makes the analysis of user reviews very interesting for app owners to make future decisions. This study aims to analyze user reviews of the Info BMKG application on the Google Play Store, using sentiment analysis. This user review analysis uses the Support Vector Machine (SVM) method. The evaluation proposal was made from more than 3,000 user reviews collected from the INFOBMKG application on the Google Play Store. The results of the analysis using the Support Vector Machine produce an accuracy of 85.54% and the most frequently reviewed positive review results are "Good", while the most frequently reviewed negative reviews are "Error". Which indicates a complaint against INFOBMKG users, and from the negative words that appear most often, there are two combinations of the two words that appear most often together, namely the word "very helpful" and the word "less accurate", which indicates that user often complain about problems related to application performance. The results of the sentiment analysis process of testing 3000 review data using the fold = 5 test value in the Support Vector Machine (SVM) method obtained an accuracy of 85.54% which produces predictions on data testing, namely 1500 positive reviews and 1500 negative reviews 1500 reviews.
Cultural Contents in The Textbook “English in Mind” In Relation to Sasak Lombok Culture

Textbook is used as a tool to guide the teaching and learning process, provide and review material, sources of information, and knowledge about a subject. This study dealt with analysis of cultural contents in the textbook and the relation with the Sasak Lombok Culture. The purpose of this study was to identify the cultural contents presented in the textbook. This study was a qualitative descriptive study. The method of this study was content analysis. The data source for this research is the english textbook “English in Mind: Student’s Book 3” published by Cambridge University Press written by Herbert Puchta and Jeff Strank in 2010. The textbook analysis in this study considered 3 characteristics from Cortazzi and Jin (1999), namely: 1) Source Culture; 2) Target Culture; 3) International Culture; and one more added by Aliakbari (2004) which is 4) Neutral Culture. The results of the study showed that the textbook fulfills 3 characteristics, there were Target Culture, International Culture and Neutral Culture. From the analysis, there are 23 reading passages in the textbook, 10 reading texts are categorized as texts with target culture, 6 reading texts as texts with international culture and 3 reading texts as texts with neutral culture that has a relation with Indonesian culture in general including the Sasak Lombok Culture.
Perancangan Aplikasi Administrasi Pada Fakultas Keguruan dan Ilmu Pendidikan Menggunakan Java Netbeans Ide 8.1 dan Mysql

Faculty of Teacher Training and Administrative Education is an administrative service at Bung Hatta University, Padang City. The data collection process for incoming and outgoing letters at the FKIP Administrative Unit is still said to be using the manual method. This study aims to produce a desktop-based administrative information system at the Teaching and Education Faculty with the aim of facilitating managers in recording incoming and outgoing mail numbers. This study uses the waterfall method with the design stages starting from analysis, system design using models including Context Diagrams, Data Flow Diagrams (DFD), and Unified Modeling Language (UML). Database storage using MySQL. The design phase ends with testing the program to produce an administration application at the Bung Hatta University FKIP using Java Netbeans IDE 8.1 and MySQL. This application can facilitate and speed up the process of data collection and search for incoming and outgoing mail numbers in the FKIP Administration.
Introducing Estimators—Abstraction for Easy ML Employment in Self-adaptive Architectures

Machine learning (ML) has shown its potential in extending the ability of self-adaptive systems to deal with unknowns. To date, there have been several approaches to applying ML in different stages of the adaptation loop. However, the systematic inclusion of ML in the architecture of self-adaptive applications is still an objective that has not been very elaborated yet. In this paper, we show one approach to address this by introducing the concept of estimators in an architecture of a self-adaptive system. The estimator serves to provide predictions on future and currently unobservable values via ML. As a proof of concept, we show how estimators are employed in ML-DEECo—a dedicated ML-enabled component model for adaptive component architectures. It is based on our DEECo component model, which features autonomic components and dynamic component coalitions (ensembles). It makes it possible to specify ML-based adaptation already at the level of the component-based application architecture (i.e., at the model level) without having to explicitly deal with the intricacies of the adaptation loop. As part of the evaluation, we provide an open-source implementation of ML-DEECo run-time framework in Python.
Base Metal Mineralisation of the Rover Field, Northern Territory

The Warramunga Province of the Palaeoproterozoic North Australian Craton, in the central Northern Territory, represents a prospective terrane for mineral exploration. A well-known example is the Tennant Creek mineral field, which has a rich history of gold, copper, bismuth, silver, and selenium production. Some 80 km southwest of the Tennant Creek mineral field is the entirely undercover Rover field, which hosts base and precious metal deposits with established mineral resources (JORC). Despite this, the geological framework, nature and timing of mineral systems remains poorly understood.
Rancang Bangun Computer Network e-dictionary Application Berbasis Android

This study aims to produce an Android-based computer network E-Dictionary application. This e-dictionary application is to assist users in searching for terms in computer networks. The method used in this study is the waterfall method, while in programming and user interface design using the Sketchware application tool. In designing this dictionary application system, using UML (Unified Modeling Language) as a system visualization into the software. The results of this study are computer network e-dictionary applications that can be used on Android-based smartphones if connected to the internet. This e-dictionary can run on an Android-based smartphone with version 5.0 and above and can also be run on a personal computer (PC) using an emulator.
Perancangan dan Implementasi Router Mikrotik Pada Infrastruktur Jaringan Komputer Internet dengan Media Transmisi Wired dan Nirkabel (Studi Kasus : IAIN Curup)

This study aims to design, configure a proxy routerboard on internet computer network infrastructure with wired and wireless transmission media to overcome the uneven distribution of bandwidth to all internet users, inaccurate IP address addressing for each point of the building and wifi hotspot points, frequent network crashes, frequent slow internet access and many internet users install the netcut program with the aim of controlling network bandwidth, so that all bandwidth is fully absorbed so that other networks cannot receive bandwidth because the net cut program has taken over all bandwidth so internet access on other computers becomes very slow even disconnected. The method used is the method of analysis including surveys, interviews, identification of information needs. The design method includes making network topologies and determining resources. The analysis method is used to analyze the running system and the design method is used to create a network topology based on a proxy router. The result achieved is the design of an internet computer network infrastructure with wired and wireless media that has good management, bandwidth management and a good IP address address.
Pemanfaatan smartphone dalam menciptakan animasi stop motion sebagai alternatif media ajar guru SMK Multimedia

Community Service based on research results in 2019, the results of the applied research are the basic techniques of creating an illustrated digital image into animation with the characteristics of a flat-space-time image and the basic stopmotion video editing techniques applied using a smartphone. The stopmotion technique is a basis that can be utilized optimally, the Covid-19 pandemic situation which limits the use of school computer laboratory facilities is a learning obstacle for students who do not have personal computers. The practical use of smartphones is able to produce good stopmotion video animation works, so the training focuses on SMK Multimedia teachers. The goal is that teachers can optimize smartphones to create stopmotion video animations as a way of learning for their students. The action review method is used so that the implementation of effective and solution training uses eight steps, namely problem identification, problem formulation, alternative identification, alternative determination, planning, program implementation, monitoring, evaluation and action review. The target audience is SMK Karya Budi's Multimedia Department, Cilenuyi District, Bandung Regency, totaling 11 people consisting of 5 expertise teachers and 6 adaptive normative teachers. The training is conducted offline and online. The results of the evaluation show that the teacher needs the help of video tutorials to repeat the training more, but overall the teacher is able to create animation from illustration images of the features of flat-space-time images and stop motion video editing using applications on smartphones.
Automated Question Generator using NLP

Abstract: Automated question paper generator using Natural Language Processing (NLP) is a system that leverages the capabilities of machine learning and artificial intelligence to generate question papers automatically. This system uses NLP techniques to analyse a given text, identify the important concepts, and generate questions based on those concepts. The generated questions are diverse in nature and follow a predefined format. This system eliminates the need for manual question paper generation, which can be time-consuming and error-prone. The proposed system can be a useful tool for educators to quickly generate question papers and assess student performance. This system works by analysing the topic, subject, and complexity level of the course material to generate a set of questions that assess the students' understanding. The system employs NLP techniques to process natural language data and extract relevant information for question generation. By automating the process of question paper generation, this system can save time and effort for educators while ensuring the quality of the assessment. This abstract explores the features, benefits, and potential applications of an automated question paper generator using NLP. The system also aims to improve the quality of assessments by ensuring that the questions are well-structured, varied, and aligned with the learning outcomes. Additionally, the automated question paper generator can adapt to the needs of individual learners, allowing for a more personalized and effective learning experience.
Introduction to Artificial Intelligence Prediction for Healthcare

Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by the increasing availability of healthcare data and rapid progress of analytics techniques.1 AI can be applied to various types of healthcare data (structured and unstructured). Popular AI techniques include machine learning methods for structured data, such as the classical support vector machine and neural network, modern deep learning, and natural language processing for unstructured data. Major disease areas that use AI tools include cancer, neurology and cardiology.
College Information system

Each educational establishment nowadays is competing to show that they are the finest at providing education at all levels. These institutes are implementing a variety of cutting-edge technology in an effort to attract more students to their universities. One of the several technologies that people use nowadays is mobile technology. It has developed a new atmosphere among students and instructors in order to improve today's access to knowledge. After considering it, we realised the importance of this promising environment that the Android platform has made possible. on how faculty members connected to the school, parents, and students gathered data. The proposed system will improve college information storage and retrieval accessibility, simplicity, and interaction.
Penerapan Aplikasi Sistem Informasi Penjualan Menggunakan Barcode

Along with the development of technology, many activities in the trade sector have used sales applications using barcodes. It aims to streamline time and be able to control data on sales and purchases of goods in a type of business. The purpose of this community service activity is to develop a sales information system application using a barcode so that users can easily input sales and purchase data for medicines, easily record stock cards and make reports on goods data as desired by the Baubau City Health Office and BPOM. The subject of this service activity is the owner of the Mentari Medika Pharmacy located in Lowu-Lowu Village, Lea-Lea District, Baubau City. This service activity systematically starts from needs analysis, application design, testing/implementation 1, testing/implementation 2, application \ to users and evaluation of activities and follow-up plans. The results of the activity indicate that after testing the application/implementation 1, it is necessary to add a menu to the application that is made so that application/implementation testing is necessary. In addition, this application is also equipped with a user manual, so that users are helped to operate this application.
Pelatihan Media Pembelajaran Aplikasi Quizizz Siswa Sekolah Dasar pada Masa Pandemi Covid-19

This PkM training activity aims to provide training on how to utilize technology, namely the use of free online gamification features to assist the teaching and learning process outside the classroom using the Quizizz application. The implementation method used is socialization, training implementation and evaluation. The subject of this training was attended by 15 sixth grade students. The results show that the application can increase student learning concentration and can increase enthusiasm in learning in the midst of the Covid-19 pandemic so that online learning feels more fun and students can learn while playing through this Quizizz application. This training also has a significant impact on the ability of teachers to develop learning evaluation instruments using the Quizizz application.
Implementation of Face Recognition in People Monitoring Access In-and-Out of Crystal Dormitory Universitas Klabat

Crystal Dormitory is a dormitory in Universitas Klabat that accommodates some male students. This study aims for monitoring and minimize the entry of foreigners into the dormitory which affects the comfort and safety of boarding students. Using the prototyping model, the systems can observe the faces of students who live in the dormitory, as well as foreigners who enter the dormitory. The system performed face recognition to recognize a person’s face when the person’s face data has been stored in the dataset. The hardware in this system used a Raspberry Pi 3 which is integrated with a webcam and monitor to detect and recognize human facial images. With machine learning libraries namely TensorFlow, OpenCV, Dlib, and Haar Cascade, combine with Python programming, the system can detect and recognize human facial images. If the system detects an unfamiliar human face, then the image of that person's face will be sent via the Telegram application using the auto-send feature to notify about the unidentified person.