Reviewerly/exHarmony huggingface dataset:
A Survey on Comparison of Performance Analysis on a Cloud-Based Big Data Framework

Cloud computing is offering various IT services to many users in the work on the basis of pay-as-you-use model. As the data is increasing day by day, there is a huge requirement for cloud applications that manage such a huge amount of data. Basically, a best solution for analyzing such amounts of data and handles a large dataset. Various companies are providing such framesets for particular applications. A cloud framework is the accruement of different components which is similar to the development tools, various middleware for particular applications and various other database management services that are needed for cloud computing deployment, development and managing the various applications of the cloud. This results in an effective model for scaling such a huge amount of data in dynamically allocated recourses along with solving their complex problems. This article is about the survey on the performance of the big data framework based on a cloud from various endeavors which assists ventures to pick a suitable framework for their work and get a desired outcome.
Contagious Education

The use of data to govern education is increasingly supported by the use of knowledge-based technologies, including algorithms, artificial intelligence (AI), and tracking technologies. Rather than accepting these technologies as possibilities to improve, reform, or more efficiently practice education, this intra-view discusses how these technologies portend possibilities to escape education. The intra-view revolves around Luciana Parisi’s idea of “digital contagions” and participants muse about the contagious opportunities to escape the biopolitical, colonial, and historical rationalities that contemporary education now uses to govern populations in ways that are automated, modulated, and wearable.
Framework for Designing Questionnaire Using Machine Learning

For a long time, people have been trying to find a way to retrieve information from a large text database. Convert data into information we need. In current search engines, when we search about something rather than giving the precise answer it takes out keywords from our search and gives us documents or web pages related to those words but what we want is the exact answer, why does the user have to search for it. That is, search engines deal more with whole document retrieval. However, a user often wants an exact or specific answer to the question. For instance, given the question "When is Holi festival this year?", what he wants is the answer "March 9, 2022", rather than to read through lots of web pages that contain the words "Holi", "festival", "year", etc. to find the date of the festival. That is, what a user needs is information retrieval, rather than current document retrieval. We handle the task of answering questions, where the answers are in documents in an extensive text database. We take on a machine learning technique to answer questions. In particular, answer candidates are classified and ranked by a classifier trainee donaset of question-answerpairs.
Research on Semantic Object Measurement Algorithm Based on Object Detection

As a branch of machine vision, stereo vision has become a research hotspot in recent years. With the development of Augmented Reality (AR), image measurement technology has been proposed. We mainly study the algorithm of using RGB-D image to measure the size of objects in indoor environment, and comprehensively use computer vision technology and image target detection technology to realize the image measurement of objects. Aiming at the problem that there are many kinds of objects in the complex indoor environment and the measurement time in the actual environment, we propose a semantic target measurement algorithm based on target detection. Experimental results show that the target detection network we proposed can effectively identify the object category in indoor environment and measure the size of the recognized semantic target. At the same time. At the same time, the measurement time of the algorithm we proposed is very small, so the measurement efficiency can be improved.
Self-portrait to ID Document face matching: CNN-Based face verification in cross-domain scenario

Face verification approaches determine whether two given faces are from the same person. Recently, a new demand for face verification application which has become popular in commercial applications is the self-portrait and ID face matching, in which we compare the faces of a selfie shot by a subject and the face in a picture of her identification document. In this work, we proposed a novel approach for face verification in a cross-domain scenario, assuming we have only two images for each subject in the dataset. The method is based on siamese architecture with triplet-loss function. Experiments show the proposed model reaches good effectiveness for cross-domain face verification with low error rates, in comparison to other works of the literature.
Converting a smartphone into an accurate solar compass

We have developed an app, named Sunpass, that is able to convert every smartphone into a solar compass. Sunpass uses input data from the smartphone sensors, calculates the Sun position, and elaborates data to give the desired information. The azimuth values measured by a smartphone equipped with Sunpass show a typical accuracy of 0.5°, which is limited by camera aberrations and misalignment of both accelerometer and CCD camera of the smartphone. In this paper, we show that both accuracy and reliability in azimuth measurements can be improved by a specific calibration procedure and a dedicated mechanical tool. We obtained a remarkable accuracy better than 0.06° on the single azimuth measurements, which improves to 0.03° on the average of eight measurements.
Using Multilayer Perceptron and Deep Neural Networks for the Diagnosis of Breast Cancer Classification

This study was conducted from March to September 2019 to evaluate the quality of sediment in Bung Binh Thien through the indicators of organic matter, total nitrogen, and total phosphorus by collecting the sediment samples in the outside, inlet, middle, and end areas of the reservoir in the dry and rainy seasons.The findings revealed that the quality of sediment in the area of Bung Binh Thien was spatially and temporally fluctuated.In the dry season, the content of organic matter, total nitrogen, total phosphorus fluctuated respectively from 1.04 to 5.35%; 0.06-0.35%and 0.036-0.076%which were higher than those in the rainy season with the corresponding values were 1.51-4.65%;0.10-0.28%and 0.042-0.072%,respectively.The nutrients in the sediment inside the reservoir was relatively higher than those in the outside area.There was a strong correlation between total nitrogen, total phosphorus and organic matter in the study area.This partially reflected the impact of living activities and production of the surrounding community on environmental quality in the area of Bung Binh Thien.
A Need Analysis in English Material for XI Grade of Beauty Program at SMK N 2 Singaraja

The purpose of this study was to investigate the English material and assess the appropriateness of English teaching material based on ESP principles.The qualitative descriptive method was used in this study.The eleventh grade beauty program students at SMK N 2 Singaraja were the subjects of this study.Questionnaires and document checklists were used as data collection tools.The findings revealed that the students required English-specific materials and Englishspecific skills in the tourism field, particularly in the beauty spa.Furthermore, according to the document checklist, the English teaching material in the beauty program was not appropriate with the ESP concepts because the data revealed that the teaching material was too general and did not pertain to the students' field.As a result, the beauty students hoped that the school could design an ESP program to help them improve their competence in beauty spa activities.
GANGGUAN PELAFALAN FONEM BAHASA JAWA (STUDI KASUS ANAK USIA 5 TAHUN)

The accuracy in pronouncing phonemes is an important thing to pay attention to because it is directly related to the meaning of the utterance. This study aims to describe the form of phoneme pronunciation disorders in Javanese experienced by children with speech delays. The data source of this research is the speech or utterance of Radit Budi Prasetyo (RBP) in speech activities. The data of this research are words and phrases in Javanese which are assumed to experience phoneme pronunciation errors in the utterances produced by RBP. This research is qualitative research with a descriptive method. The approach used is a neurolinguistic approach. The results of this study indicate that there are pronunciation problems that arise in the RBP language process. This disturbance is manifested by the error of pronouncing phonemes in Javanese. The spelling error is manifested by adding, removing, and replacing phonemes. These three things almost happened in every phoneme position, both in front, center, and behind the morpheme. Phoneme replacement is the most dominant aspect. Meanwhile, removing and adding phonemes only occurs in a few phonemes. Keywords: phonem, speech delay, neurolinguistics
Correction to: The 3D Facemask Recognition: Minimization for Spreading COVID-19 and Enhance Security

In the original version of the book, the affiliations of authors “Ashish Sharma, Ara Miran, Zanyar Rzgar Ahmed” have been updated in the Chapter “The 3D Facemask Recognition: Minimization for SpreadingCOVID-19 and Enhance Security”. The chapter and book have been updated with the changes.
Evaluating reliability of final exam questions via rasch model

Students grade in a subject is determine mainly from the final examination marks. The final exam questions need to be reliable in order to measure the performance of students in the particular subject. Rasch model able to measure the reliability of an instrument, the final exam questions. A total of 114 students from Mechanical Engineering department sat for the Engineering Statistics subject. Marks were entered in excel and transferred as *prn format. Marks were analyzed against Rasch model, WINSTEPS. The summary statistics for person, summary statistics for item, item statistics, item dimensionality and item correlation are among the output being analyzed. One item is identified as misfit item. The Engineering Sattistics exam questios was very reliable and able to give insight view of the questions. A corrective action is taken to review the misfit item and rephrase the item.
Forge a Stronger Partnership With Advancement Personnel

Nonprofit Communications ReportVolume 20, Issue 5 p. 7-7 The Communications-Advancement Connection Forge a Stronger Partnership With Advancement Personnel Kim Pawlak, Kim PawlakSearch for more papers by this author Kim Pawlak, Kim PawlakSearch for more papers by this author First published: 05 April 2022 https://doi.org/10.1002/npcr.31942Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume20, Issue5May 2022Pages 7-7 RelatedInformation
Single Image 3D Building Reconstruction Using Rectangles Parallel to an Axis

Historic photographic collections are valuable documents of urban evolution through time. Many historic buildings documented in such collections may have been demolished or changed over time. Digital modeling such buildings may be challenging due to the reduced amount of information available that may be limited to a few images and/or schematic drawings. This paper presents a method to create a 3D set of rectangles that approximates elements of a scene (such as walls, floors, and roofs) from a single image. Using a pinhole camera model, the extraction of geometry and texture of planes parallel to an axis can be obtained after a camera calibration step that recovers intrinsic parameters of the model. Results show that a good visualization of the scene can be created, using the proposed technique, from a single image.
The opening sequences in the radio phone call-in conversations in Behdini-Kurdish

Verbal interaction is organized into sequences of utterances which are understood according to their sequential context. One of them is the opening sequences which are the initiation chunks of speech in order to start a conversation. Much work has been done on the opening sequences in other languages, whereas these sequences have not received attention by researchers in Kurdish. The study is the first attempt to identify the structure of the opening sequences in one variety of Kurdish, namely, Behdini. Besides, it will show the forms of each sequence identified in the structure and how the structures and sequences vary according to gender. The study is based on the analysis of the opening sequences of 77 radio phone call-in conversations. The data has been analysed qualitatively and quantitatively using the conversation analysis approach. Two structures of opening sequences in Kurdish are identified depending on whether the call is known or unknown. For the caller-unknown conversations, the structure is summons answer, greeting, how are you sequence, identification, and greetings sending/ compliments/ guest welcoming sequence. In the caller-known, identification sequence is not realized. The study identified the common forms of each sequence realized in the structure of the opening sequences. Some gender variations are realized in the structure of the opening sequences, their sequences and forms.&#x0D; The study is important because it will help identify language-specific conventions of opening sequences and to which extent they vary according to social factors. Besides, it will enrich the typological studies of opening sequences by adding another language-specific convention of opening sequences to the ones already investigated and to pave the way to formulate general or even universal principles of organisation of talk in interaction.
Research on the Cloud-Edge Service Collaboration and Interaction Technology Oriented for Dispatching and Control Cloud

With the continuous promotion of the construction of dispatching and control cloud, the existing service interaction mechanism has network security risks. At the same time, the service deployment is cumbersome, which affects the efficiency of service interaction. Based on the service proxy, cloud-side collaboration is used to complete the service interaction between two levels of clouds, which can improve the efficiency of the service deployment and interaction. On this basis, the overall architecture of the wide-area cloud-edge service collaboration and interaction of the dispatching and control cloud is completed.
A study on the development plan of Dokdo education in the middle school free grade system

The purpose of this study is to suggest the effective direction of Dokdo education in the free grade system based on the analysis of the current status of Dokdo education in the middle school free grade system. In the current status of Dokdo education in the free grade system, the actual conditions and limitations of Dokdo education in the free grade system were discussed. Based on these discussions, the characteristics and improvement plans of Dokdo education in the free grade system were presented. The results of this study were as follows. First, the current status of Dokdo education in the free grade system was found to be the case of individual subject-related classes and school-level project classes in the topic selection activity, the operation of the Dokdo Experience Center-centered program in the career exploration activity, and the Dokdo Keeper-centered activity in the club activities. The limitations of Dokdo education in the free grade system are the difficulty in designing and operating classes suitable for the purpose and direction of the free grade system in the topic selection activity, the absence of a differentiated program in the free grade system, a one-time program centered on events, and linkages with institutions in the career experience activity, absence of programs linkage with curriculum, and lack of community-linke d clubs in club activities were found. Second, the characteristics of Dokdo education in the free grade system are the reinforcement of education of knowledge and understanding of the territory through class innovation, the reinforcement of education of awareness and experience from the territory through various experiences, and the reinforcement of education of action and practice for the territory through comm unity activities. The plans of improvement of Dokdo education in the free grade system are the establishment of policies for extended implementation, the setting of core competencies for systematization, the development of the class(program) contents for Differentiation, the development of the class(program) methods for persistence, and the establishment of infrastructure for activation.
Embedding Risk-Based Anonymization into Data Access Control for Providing Individual-Level Health Data in a Secure Way

Especially in biomedical research, individual-level data must be protected due to the sensitivity of the data that is associated with patients. The broad goal of scientific data re-use is to allow many researchers to derive new hypotheses and insights from the data while preserving privacy. Data usage control (DUC) as an attribute-based access mechanism promises to overcome the limitations of traditional access control models achieving that goal. Park and Sandhu provided the usage control (UCON) model as an instance of DUC, which defines policies that evaluate certain attributes. Here, we present an UCON-based architecture, which is augmented with risk-based anonymization as provided by the R package sdcMicro and an extensible Access Control Markup Language (XACML) environment with a core policy decision point as implemented by authzforce.
Structure Design and Performance Analysis of a Moveable Compressible Multi-Motion Assembly Manipulator

With the development of aerospace industry and accuracy assembly, the requirements of moveable and compressible functions are dramatically increased on the assembly manipulators. To meet this demand, a novel moveable compressible multi-motion assembly manipulator is proposed. The moveable function is realized by a wheel-leg transformation and actuation mechanism which smoothly switches the vehicle between wheel and leg motions. The compressible function is realized by a multi-motion manipulator with moving and rotational shafts. The specific structure of the moveable compressible multi-motion assembly manipulator is detailed demonstrated and the performance analysis of leg mechanism and multi-motion manipulator are carried out. The validity of theoretical analysis is verified by typical examples. This paper laid a solid foundation for the future researches.
Application of Landsat 8 Image in An Assessment of Hydrothermal Alteration Mapping in Dense Vegetation: A Case Study from Kokap Area, Kulon Progo

DOI:10.17014/ijog.9.1.45-60 Several researchers through geochemical analysis have proven the presence of gold mineralization in Kokap, Kulon Progo, as a result of hydrothermal alteration. Alteration mapping with optical remote sensing images in tropical areas is very difficult due to atmospheric conditions, dense vegetation cover, and rapid weathering. This study aims to assess the ability of Landsat 8 images in the mapping of hydrothermal alteration in Kokap, Kulon Progo, with the Principles Component Analysis (PCA) method. Three conventional machine learning methods, including artificial neural network (ANN), maximum likelihood classification (MLC), and support vector machine (SVM) were compared to find an optimal classifier for hydrothermal alteration mapping. The experiment revealed that the MLC method offered the highest overall accuracy. Two alteration zones were mapped, i.e . argillic zone and propylitic zone. The comparison results showed that the MLC classification of band ratio images of 5:2 and 6:7 yielded a classification accuracy of 56.4% and kappa coefficient of 0.36, which was higher than those of other machine learning methods and band combinations. The combination of Landsat 8 with DEM succeeded in increasing accuracy to 59.5% with kappa coefficient of 0.4.
Case-Based Learning Method in Intelligent System Course

The learning method discussed in this study is a case-based method implemented in the Intelligent Systems course.Activities in this research include action planning and compiling teaching materials in the form of cases scenarios/problems that students find solutions to in small groups.In its implementation, students were given cases that should be solved in groups of students.It encourages students to get a higher order of thinking skill level because real problems require problem-solving together by using information for problem-solving with different perspectives and with various strategies that group members can suggest.Students' test scores were collected by giving an evaluation test for Fuzzy Logic topics and Neural Network topics.The results showed that 63% of the students achieved the maximum point from the evaluation test.
Critical Discourse Analysis of Teun A. Van Dijk's Model against Online News “The Decline in Refinery Profits Threatens to Increase Oil Prices”

This study aimed to describe the dimensions of the text of the Teun A Van Dijk' model in the text discourse online news “the decline in refinery profits threatens to increase oil prices”. The rise of online media news coverage regarding the decline in refinery profits threatening the increasing oil prices interests the researchers in analyzing the discourse because the author considers that no mass media is completely neutral and objective. This research used a qualitative descriptive method with Teun A Van Dijk’s theoretical framework of critical discourse analysis, because the Van Dijk’s model also looks at the social cognition of the unit of observation and the social context in which the unit of observation occurs. The result of the research revealed that most of the dimensions of the text structure were met. Social analysis that is obtained was the decrease in refinery profits will cause new problems in public social life. For the textual analysis of macrostructure elements, the topic described a common theme of this online news which is "petroleum". In this news discourse, several elements of the microstructure were found in the form of background, detail, intent, coherence, conditional coherence, sentence form, and presuppositions.