Reviewerly/exHarmony huggingface dataset:
Pengembangan Sistem Informasi Geografis Pemetaan Tower Base Transceiver Station (BTS) Berbasis WEB

AbstractGeographic Information System (GIS) is an effective medium to identify the location of cellular operator telecommunication towers in finding locations that are not covered by cellular operator telecommunication tower signals and supports the placement of new cellular operator telecommunication towers. Based on this, the problems that arise are difficulties in obtaining information on the location of telecommunication towers for cellular operators, differences in distances that can be traveled, the difficulty of the BTS (Base Transceiver Station) Development and Control Supervisory Board knowing how many telecommunication towers from each provider in Bandar Lampung. and the absence of a system to identify the location of cellular operator telecommunication towers in Bandar Lampung digitally. Based on this, the researcher proposes a Geographic information system for mapping tower bases transceiver stations (BTS). From the results of the research that has been done, the Geographic Information System (GIS) can identify the tower location points. With this system, it is hoped that this system can be used as a reference for the BTS Development and Control Supervisory Agency in identifying the location of cellular operator telecommunication towers in Bandar Lampung as well as being a reference for the BTS (Base Transceiver Station) Development and Control Supervisor in the construction and placement of new cellular operator telecommunication towers in Bandar Lampung. Bandar Lampung.
USING LAPTOP AT UNIVERSITY LEVEL A SURVEY BASED APPROACH

A survey-based research has been conducted to reveal the impacts of using laptops at the university level. For this research BS Mathematics and BS Physics students both morning and evening session of Universities in South Punjab, Pakistan were taken as a population. The population consists of 240 students and 10 teachers of four Universities of South Punjab. The sample of 112 students and10 teachers was taken by Random sampling technique. Questionnaires and interviews were used as a research tool. The results of the study revealed that most of the students used the laptops for study purpose like making assignments on Microsoft word and presentations on the Power Point. The results of teacher’s questionnaires revealed that most of the teachers used laptops for the preparation of lecturer and for different academic activities.
Cloud Enabled Healthcare Services and Its Implications

Ever since the very first cloud service introduced by Amazon Web Services in 2006 the term ‘Cloud computing’ became buzzing all over the field of Information Technology. Not only in IT field but in all technology related fields and even in business and marketing field began to utilize the Cloud Computing Technology. This technology is so versatile and powerful that apart from running softwares in cloud platform and storing data a whole Operating system can be run. In day-today life we are using more cloud based applications involving healthcare, banking, marketing, education and web search engines, etc. In this paper we are specific on healthcare services because it plays a major role in daily operations such as medication, regular health check-up and emergency based services. Especially cutting edge technology can be very useful in emergency situations
Robust rules for prediction and description

In this work, we attempt to answer the question: How to learn robust and interpretable rule-based models from data for machine learning and data mining, and define their optimality?.Rules provide a simple form of storing and sharing information about the world. As humans, we use rules every day, such as the physician that diagnoses someone with flu, represented by if a person has either a fever or sore throat (among others), then she has the flu.. Even though an individual rule can only describe simple events, several aggregated rules can represent more complex scenarios, such as the complete set of diagnostic rules employed by a physician.The use of rules spans many fields in computer science, and in this dissertation, we focus on rule-based models for machine learning and data mining. Machine learning focuses on learning the model that best predicts future (previously unseen) events from historical data. Data mining aims to find interesting patterns in the available data.To answer our question, we use the Minimum Description Length (MDL) principle, which allows us to define the statistical optimality of rule-based models. Furthermore, we empirically show that this formulation is highly competitive for real-world problems.
User-Customized News Service by use of Social Network Analysis on Artificial Intelligence & Bigdata

Recently, there has been an active service that provides customized news to news subscribers. In this study, we intend to design a customized news service system through Deep Learning-based Social Network Service (SNS) activity analysis, applying real news and avoiding fake news. In other words, the core of this study is the study of delivery methods and delivery devices to provide customized news services based on analysis of users, SNS activities. First of all, this research method consists of a total of five steps. In the first stage, social network service site access records are received from user terminals, and in the second stage, SNS sites are searched based on SNS site access records received to obtain user profile information and user SNS activity information. In step 3, the user's propensity is analyzed based on user profile information and SNS activity information, and in step 4, user-tailored news is selected through news search based on user propensity analysis results. Finally, in step 5, custom news is sent to the user terminal. This study will be of great help to news service providers to increase the number of news subscribers.
Robustness of deep learning algorithms in astronomy - galaxy morphology studies

a one-pixel attack as a proxy for compression or telescope errors on performance of ResNet18 trained to distinguish between galaxies of different morphologies in LSST mock data. We also explore how domain adaptation techniques can help improve model robustness in case of this type of naturally occurring attacks and help scientists build more trustworthy and stable models.
The Copyrightability and Ownership Analysis of Artificial Intelligence Creations

The rapid development of artificial intelligence inevitably poses an impact on the old legal system, while in the field of intellectual property, the copyright differences caused by artificial intelligence creations are more violent and urgent. In practice, there is a great disagreement on whether artificial intelligence creations belong to the object of copyright, and the debate on the subject of copyright is more intense. Starting from the purpose and object of copyright protection, the traditional concept of a work has been greatly revised, and “ideological” is no longer an important criterion for the originality of a work. Starting from the dichotomy of “thought” and “expression,” artificial intelligence already possesses “ingenuity” in creations, and the development of artificial intelligence also requires copyright protection of its creations. Compared with other entities, investors and transferees as capital contributors need more copyright protection in the early stage of industrial development, and they should also bear the relevant responsibilities in the process of creation of works.
Speaking Class Management: Teachers’ Considerations and Preparations

Designing learning activities is one of classroom management components which should be prepared by a teacher to teach. Potraying the preparation and the implementation of classroom management becomes a veryinteresting and challenging thing to do especially in a classroom in which English is presented as a foreign language. This paper is discussing classroom management in two EFL Speaking classes with two lecturers and 50 students (25 students in each class) became the samples of the research. The focus of the classroom management itself covers five main aspects; the planning, the material and media, the activities, the classroom condition and the students’ participation during the teaching-learning process (TLP). The research was conducted through implementing three main instruments, they were; Teacher Interview, Classroom Observation and Questionnaire. The data revealed was analyzed through descriptive analytic method.The result showed that, first, the teaching planning was always designed in the form of mini lesson in each meeting. Second, The various material chosen was based on the students’ needs in their social life. Moreover, learning exposure was created through inviting Native English Teachers (NET). Another point revealed is that there was student-centered learning. The last, The students actively participated as a result of cooperative and collaborative works implemented in the learning process.On a whole, the lecturers had already implemented classroom management eventhough the implementation of it was still far from being perfect. The consideration in mananging the class is that both choosing the media and material become the two most important things to prepare.
Protocol and ethical challenges for success in research with minors: the case of cultural and museum studies in the context of COVID-19

This rapport is result of the research project MIRONINS – Redesign of the cultural experience ofvisiting a museum through transmedia narrative, gamification and new technologies, COMRDI18-1-0009, ACCIO program, Government of Catalonia, and the project Interactive storytelling anddigital visibility in interactive documentary and structured journalism, RTI2018-095714-B-C21(MICINN/FEDER). Spanish Ministry of Science, Innovation and Universities (Spain).
Лабораторний стенд для дослідження героторних насосів змінної продуктивності

The relevance of this work is due to the requirements of state educational standards to the results of mastering the educational program on the basics of engineering training. The purpose of the work is to develop a laboratory stand that will test gerotor pumps to ensure the appropriate technical characteristics. The paper presents a possible version of laboratory equipment for the study of gerotor pumps, both standard and variable capacity pumps. The introduction of a laboratory stand in the fund of educational materials will improve the quality of engineering training.
Is Information Technology Act 2008, Way Behind the Current & Future Cyber Space Practice?

Cyber Practice is a result of 3rd Industrial revolution. American defense department did some experiment to do activities of sharing, Exchanging, and storing information within their network (Apranet or some kind of Intranet) which was later given in the Public domain, and made it commercialised. This had started at the beginning of the 1970sThe First Industrial Revolution between 1760 to 1840, used water, and steam power to mechanize production. The second Industrial Revolution between 1870 to 1914, also known as the Technological Revolution, was a phase of standardization, and industrialization related to electrical power, and telephones. The Third Industrial Revolution was at the beginning of the 1950s, related to semiconductors, mainframe computing, personal computing, the Internet, and Information technologyNow we are in the Fourth Industrial Revolution is a fusion of advances in artificial intelligence (AI), robotics, the Internet of Things (IoT), 3D printing, genetic engineering, quantum computing, and other technologies. It is yet to come as a challenge for Lawmakers.
ANALISIS DESKRIPSI PEMBELAJARAN MATEMATIKA MELALUI PERMAINAN ULAR TANGGA

This research aims to determine the process of learning and to determine the advantages and disadvantages of implementing Mathematics  learning  using  the  STAD  model and snake ladder media in mathematical learning with flat figure material. in the fourth grade students of SDN Krowe 3. The type of research used in this study was descriptive. Data collection techniques namely observation, interviews, documentation. The data validity technique uses data triangulation  technique  consisting  of  source triangulation, technique triangulation, time triangulation. Data  analysis  techniques  used are data collection, data reduction, data display, and conclucion drawing / verification. The results of research on the application of snakes and ladders game media with the STAD learning model in mathematics subject matter of flat structure, can have a positive impact  on student activity in participating in learning. Secondly, the advantages of implementing Mathematics learning using the STAD model and snake ladder media  in  mathematics  learning with  flat build material in  fourth  grade students of SDN Krowe 3, students can   play an active role in  the learning  process,  and improve student skills, while the drawback is that class situations tend to be crowded when sharing group
Антропоцентризм в системном подходе к дизайн-проектированию

The article focuses on anthropocentrism in system design as a key factor of formation subject-spatial environment and improvement of communication between producer and consumer. The author analyzes historical, social, and cultural roots of anthropocentrism in a design practice. A number of typical examples from Russian and world’s practice studied in this research show the significance of an anthropocentric in the project culture.
Pelatihan Pembuatan Kreasi Masker Bagi Anak Panti Asuhan Putri Aisyiyah Yogyakarta

The community partnership program was carried out with partners, namely the Children of the Putri Aisyiyah Orphanage, Yogyakarta. This service aims to assist partners in solving the problems they have, namely: (1) There is no education regarding the benefits of using masks during a pandemic; (2) There is no training to develop creativity in the orphanage children; (3) There has been no training related to making patterned masks. The solution offered is training in making patterned masks for the Children of the Putri Aisyiyah Orphanage in Yogyakarta so that it was hoped that it can educate children about the benefits of using masks during the Covid-19 pandemic and foster creativity in creating masks with the decoupage technique. The method of the community partnership program is training in making patterned masks in the form of lectures, discussions and practice of making patterned mask creations for the children of the Putri Aisyiyah Orphanage in Yogyakarta. This community partnership program was aimed at children of members of the Putri Aisyiyah orphanage with various ages.
Актуальные технологии обучения персонала

The article deals with the issues related to the introduction of innovations in personnel training. The main approaches to the management of processes in the educational space, their impact on the quality of training are presented.
Use of the “error controlˮ system by Maria Montessori method in didactic materials for the formation of elemental mathematical imaginations

The article describes one of the Montessori methods known as the system of “error controlˮ in educational materials used for the formation of mathematical concepts in preschool education. The topic is relevant, because at the development of preschool education a special focus is on the logical and mathematical development of children. Mathematical knowledge and skills are the main factors necessary for knowledge of the world around us and life in it. The main educational tasks for the development of mathematical concepts are: the sensory development, logical and mathematical concepts developent, mathematical actions performed by children (arithmetics, measurement, the simplest calculations). Therefore, the logical and mathematical development of children is one of the key elements in the education of personality. The article describes issues of inaccessibility of didactic Montessori materials in Ukrainian preschool education, lack of research in this area, incorrect use of methods of encouragement and evaluation in preschool education. The emphasis of the article is that the method of Maria Montessori is quite popular in the educational space, thus there is a need for new research of the principles of education and training, in particular “the error controlˮ. It gives children the opportunity to independently control their actions and evaluate the result. Each activity of children in educational institutions should be evaluated by a teacher or independently by the children themselves. This concept is known as self-assessment, when students independently assess their activities and capabilities. Formative assessment is described as interactive assessment of the level of students’ knowledge. Montessori materials for the development of students’ math competence are helpful in practical actions and contribute to the development of independence and the ability of co-leadership. The formation of self-assessment ability is a priority in preparing the child for school. Thus, the use of the formative assessment at preschool education is one of the key elements in ensuring education quality. Keywords: Maria Montessori, error control, self-assessment, assessment methods, formative assessment.
Mixed-Technique Multi-Party Computations Composed of Two-Party Computations

Protocols for secure multi-party computation are commonly composed of different sub-protocols, combining techniques such as homomorphic encryption, secret or Boolean sharing, and garbled circuits. In this paper, we design a new class of multi-party computation protocols which themselves are composed out of two-party protocols. We integrate both types of compositions, compositions of fully homomorphic encryption and garbled circuits with compositions of multi-party protocols from two-party protocols. As a result, we can construct communication-efficient protocols for special problems. Furthermore, we show how to efficiently ensure the security of composed protocols against malicious adversaries by proving in zero-knowledge that conversions between individual techniques are correct. To demonstrate the usefulness of this approach, we give an example scheme for private set analytics, i.e., private set disjointness. This scheme enjoys lower communication complexity than a solution based on generic multi-party computation and lower computation cost than fully homomorphic encryption. So, our design is more suitable for deployments in wide-area networks, such as the Internet, with many participants or problems with circuits of moderate or high multiplicative depth.
PENGEMBANGAN MEDIA PEMBELAJARAN MODUL BERBASIS GAMBAR PADA MATERI IPS TERPADU SISWA KELAS VIII SMP NEGERI 3 BATANGHARI NUBAN LAMPUNG TIMUR

This Integrated Social Media learning media refers to an image based learning media module. The image is a combination of &#x0D; points, lines, fields, and colors that are useful for telling something. This method can also be used by students to arouse their interest in learning, language skills, and help them interpret and memorize the contents of material from textbooks. The results of the pre-survey to teachers and students of class VIII of SMP Negeri 3 Batanghari Nuban East Lampung showed that the learning media used were only limited to worksheets while printed books were already available at school but had not been maximally utilized by teachers. Then the researcher makes the development of a valid and practical image-based learning media module that can be used by students. This study uses research procedures and ADDIE development models. This development model consists of 5 stages of development, namely Analysis, Design, Development, Implementation, and Evaluation. The results showed that the image-based module learning media was appropriate to be used in learning. This is shown by the results of expert tests on the appearance of the design of instructional media based on images included in the criteria of "Very Valid" with a percentage of 90%, the results of expert trials on the presentation of instructional materials based on image learning modules included in the criteria of "Very Valid" with a percentage of 96%, and the results of testing students' responses to the learning media of image-based modules are included in the criteria of "Very Practical" with a percentage of 80.3%, thus it can be concluded that the learning media of image-based modules is a valid and practical learning media used in learning process.
Internet of Thing Based Smart Education Environment

The job of education which proliferates knowledge, becomes progressively huge in the past fewyears because of the fulminatory extension in information. Meantime, the education process model is goingthrough a change in which learning of various students should be done in different ways. Therefore, environmentof smart education is energized. It fuses diverse data and communication advancements to initiate learning processand change in accordance with the necessities of various students. The nature of learning process for studentscould be upgraded through ceaselessly observing and examining the activities and state of various students bymeans of information processing platforms and information sensing devices for offering criticism about learningprocedure of various students. Internet of Things vows to accomplish an incredible variety in life, goodness ofperson's life and associations' profitability. By means of a limitlessly administered domestically smart network ofintelligent items, the IOT gets the opportunity to enable extensions and upgrades to fundamental utilities indifferent fields, while presenting a novel environment for creating application. Applying the idea of IOT in anyof the education environment will build the nature of education process since students will learn quickly andteachers will satisfy their activity proficiently. This paper is intended to represent the basic concepts,characteristics, definitions of IOT. It additionally outlined the job of IOT in building a process of smart educationand likewise in making effective and efficient decisions which is imperative in day by day life.
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning

Due to the mass advancement in ubiquitous technologies nowadays, new pervasive methods have come into the practice to provide new innovative features and stimulate the research on new human-computer interactions. This paper presents a hand gesture recognition method that utilizes the smartphone's built-in speakers and microphones. The proposed system emits an ultrasonic sonar-based signal (inaudible sound) from the smartphone's stereo speakers, which is then received by the smartphone's microphone and processed via a Convolutional Neural Network (CNN) for Hand Gesture Recognition. Data augmentation techniques are proposed to improve the detection accuracy and three dual-channel input fusion methods are compared. The first method merges the dual-channel audio as a single input spectrogram image. The second method adopts early fusion by concatenating the dual-channel spectrograms. The third method adopts late fusion by having two convectional input branches processing each of the dual-channel spectrograms and then the outputs are merged by the last layers. Our experimental results demonstrate a promising detection accuracy for the six gestures presented in our publicly available dataset with an accuracy of 93.58\% as a baseline.