Reviewerly/exHarmony huggingface dataset:
A Content Filtering from Spam Posts on Social Media using Weighted Multimodal Approach

The system for filtering spam posts on social media is preferred to obtain the relevant content and expected by users.The previous works on spam detection have been done to filter irrelevant content on email and social media based on text or image separately.Due to the social media posts are commonly in the form of image, text, or both, the multimodal data is preferred to improve the capability of system in handling filtering content on social media.In addition, a spam post containing multimodal data sometimes does not indicate spam in both data but only one.To improve the performance of system, we propose a weighted multimodal approach for filtering content from spam posts in social media using Convolutional Neural Network (CNN).The mechanism of weighted multimodal is by weighting of spam prediction results from image and text data.We also investigate the performance of CNN architectures for spam post detection that are 3-layer, 5-layer, AlexNet and VGG16.The performance of each architectures is evaluated by 8000 Indonesian posts in the form of image and text taken from Instagram posts.The results show that the highest accuracy achieves 0.9850 based on the combination of image and text by using a 5-layer architecture.The average accuracy of all CNN architectures using multimodal data is higher than only using image and text data separately.
Aplikasi Tenaga Surya sebagai Sumber Energi Alternatif

This community service program aims to utilize solar power as a source of electrical energy to replace the PLN electricity source at Bopongan RT 04 Padukuhan Kauman, Tamanan, Banguntapan, Bantul. The method of implementing this abdimas begins with data collection of residents 'houses that have not yet been supplied with electricity from PLN, then socialization is carried out about the theory of solar panels to residents and ends with the installation of solar panels in residents' homes. The results of the Community Service were quite satisfying, namely residents who had not yet received PLN electricity were able to enjoy lighting with alternative energy sources.
Hva er viktig for forståelse? Om maskinoversetting fra nordsamisk

The article presents a rule-based machine translation system from Northern Sami to Norwegian. The grammatical analysis is done with Giellatekno and Divvun's North Sami program for analysis and translation. We have written the transfer component (transfer lexicon and grammatical rules) within the framework of the open machine translation system Apertium. The article contains an evaluation of translated text for two different domains. The translated texts score better on the presentation of the content than on fluent language. By classifying the errors into lexical, grammatical and pragmatic errors, we show that lexical errors are the most harmful for text comprehension. The other two types of errors give a poor language quality, but they have little effect on comprehension. The type of error that is the easiest to correct is the lexical, which is a promising conclusion for the development of a machine translation system for text comprehension.
Object Detection in Real Time Video

In this modern era, it is essential for various brands and businesses to have a technology that will be helpful for them with respect to the promotion of their business.Existing logo detection research focuses on closed set scenarios.The logo domain is too large for these strategies and requires an open set approach.In this paper, a logo detection and recognition system is proposed which detects the logos in the video.The issue of speed and size is addressed by proposing a compressed convolution neural network model VGG16 in Machine Learning.The proposed model improves on size, speed, and solves degradation issues.VGG16 trains the model and further classifies the images in order to detect the images.In comparison to VGG16 the proposed model is 88.4% smaller in size and 23.86% faster in training time.Thus, this model helps recognizing the images from the video with higher accuracy.
The Significant Contextual Predictors of Industrial Academic Collaboration in Engineering

In a Modern Economy, transforming academics into competitive advantages is pivotal.The present work discusses the impact and challenges of academia-industry collaboration on academic output and campus placement preparation.This study explores the contextual predictors related to core placement and industrial-academic collaboration requirements among undergraduate students in Engineering.Industrial -academic training and placement intent are defined as the core competence and the students undergo these trainings to develop the skills in order to get placement in the core domains of RTL Verification using System Verilog, SOC-ASIC physical design, Embedded system design, IoT and Artificial intelligence for Cyber security.Overall, 509 students have been included as participants and they are students of second year, third year, and final year engineering from the Department of Electronics and Communication Engineering of Kalasalingam Academy of Research and Education.This work examines the Collaborative Success in Learning New Application, Teaching Research Level Collaboration, and Preparation for First Campus Placement.The statistical Analysis of Regression has been utilized to address the relationships.Skill training from industry and participation in domain-specific activities are more strongly intended for engineering undergraduate students during their course.The analysis pertains that both are significant parameters.However, the level of significance is more in Collaborative Success in Learning New Application (CSLNA) compared to Teaching Research Level Collaboration (TRLC) for the confidence level in Preparation for First Campus Placement (PFCP).
EL Edublog en la formación inicial de docentes: Espacio para la construcción de conocimientos compartidos

The digital society poses challenges for teachers to offer an education capable of taking advantage of the didactic potential of technologies and developing digital competence.This work describes an innovation project implemented in initial teacher training, based on the use of the edublog as a didactic tool, as a space for narration, the analysis of educational reality and reflection on the challenges of today's school, combining curricular work with the development of digital competence.88 students and 3 teachers have participated in the experience, and it has been positively valued by students and teachers.In addition to their ratings, the evaluation has included the analysis of blog content and ratings.The development of the project shows that the edublog is an effective tool for teacher training, by promoting the exchange of experiences and the construction of knowledge and relationships that transcend the borders of the classroom.
An Efficient Power Aware Algorithm for Optimizing Energy Consumption of Cloud Resources Using Multi Agent Model

Cloud computing offers different kinds of resources to the user based on the current need. The resource includes hardware, software and platform through virtualization. User requirements are mapped to the corresponding Virtual Machine (VM) by the host of the data center. Every resource in the data c
Do Blockchain and IoT Architecture Create Informedness to Support Provenance Tracking in the Product Lifecycle?

Consumers often lack information about the origin and provenance of the products they buy.They may ask: Is a food product truly organic?Or, what is the origin of the gemstone in the ring I purchased?They also may have sustainability concerns about the footprint of a product at the end of its life.Producers and sellers, meanwhile, wish to know how longitudinal tracking of the provenance of products and their components can boost their sales prices and after-market value, and reveal new business opportunities.We focus on how the product lifecycle (PLC) can be leveraged to track information that typically has not been available to support distributed activities.Instead, they have been supported by the manufacturers that create new products.We propose an architecture that utilizes blockchain and the Internet of Things (IoT) to support a range of PLC use case scenarios -from production to marketing and consumption, to maintenance and refurbishment, as well as recycling and disposal.We also offer design thinking about blockchain-IoT architecture to support products such as textiles, furniture and food.Our contribution is an architecture for cross-PLC management support and an explanation of its potential to enhance value through stakeholder informedness.
DISTRIBUTED DATABASE MANAGEMENT SYSTEM (DBMS) ARCHITECTURES AND DISTRIBUTED DATA INDEPENDENCE﻿

Distributed database (DDB) is one of the emerging fields of technology and market research. This article addresses different architectures of distributed databases, distributed database management systems (DDBMS), data dependency techniques, the importance and drawbacks of the DDB. The problem areas mentioned in the paper are extremely useful when implementing distributed databases to ensure easy management of competence, impasse, protection and privacy. In this paper we will also research distributed database design for integrating the business environment in a distributed database.
LITERATURE REVIEW: WHY USING ROLEPLAY METHOD IN TEACHING SPEAKING?

The roleplay method is one of the methods proven to improve students' speaking ability. This study aims to provide a more in-depth explanation of the use of the roleplay method in learning English to improve students' speaking skills. This research is a literature study by carrying out stages in the form of searching and finding relevant data, analyzing the data found, and expressing ideas from these findings. This study examines the understanding of the roleplay method, the procedure for implementing the roleplay method, and the impact of the roleplay method, especially in improving students' speaking skills. Based on the results, it was found that the roleplay method can improve students' speaking skills, increase self-confidence, collaboration among students, and make the learning atmosphere fun and interesting.
Discourse analysis on teacher-students interaction pattern of English teaching learning process in vocational high school

The objectives of this research are to (1) describe patterns of teacher-student interaction of English Teaching-Learning process in the Tenth Grade of SMK Negeri 1 Saptosari Gunungkidul, and (2) reveal the interactional features used by the teacher related to the pedagogic goals during the teaching-learning process. This research belongs to discourse analysis which aims at describing conversation and interaction of teacher-students during English teaching-learning process in the tenth grade of SMK Negeri 1 Saptosari Gunungkidul. The data were collected through observation and backed up with reading and were analyzed using the theory of the IRF exchange structure and the SETT Framework (Walsh, 2006). The result showed that there were 20 patterns of interaction of 21 exchange structures used in 7 types of transaction. The transactions were opening/greeting session, introduction, warm-up/re-checking session, explaining session, instruction session, practising session, closing/note-taking session. Some interactional features used by the teacher were found in the classroom interaction. There were 10 types of interactional features that were used by the teacher with the total number 115. The using of display question 47, confirmation checks 17, predominant of IRF was 12, use of scaffolding 11, form-focused feedback 9, clarification request 7, teacher turn by giving instructions 4, teacher turn by giving explanations 3, corrective repair 3, use of transactional marker 2. It revealed that the use of display questions was the most commonly used by the teacher in this classroom interaction. From the classroom interaction, it can be concluded that the teacher tended to pose display questions which prevented the students to express their elaborate ideas. The teacher also gave few scaffolding in her teaching and it hindered the studentsâ€™ fluency. However, it might be effective for vocabulary learning through the exercise discussion.
Analisis Penggunaan Media Pembelajaran dan Motivasi Belajar Terhadap Prestasi Belajar di SMP Negeri 2 Gorontalo

Learning achievement is a benchmark as a result of students' achievements during the learning process. Success in learning is inseparable from the media used as well as a strong willingness to learn. This research aims to analyze the influence of learning media usage and learning motivation on students' learning achievement. The analysis used is a quantitative approach to multiple linear regressions. Data is obtained from observations and questionnaires. The results of the analysis showed that the use of learning media and learning motivation had a positive and significant effect on learning achievement. Thus, the conclusion to achieve maximum achievement needs to be optimized the use of learning media as well as stimulate the motivation of students both motivation from within and external motivation
Impact of Technology Progress on Human Development in the Era of Industrial Revolution 4.0

The 4.0 Industrial Revolution and the Internet of Things (IoT) have been a hot topic over the last few years. The Industrial Revolution of 4.0 has brought a drastic change in various aspects of human life. With the growing demand for today's increasingly sophisticated technology in the era, it can bring a tremendous impact on the development of the community. One in five jobs will be replaced by artificial automation and intelligence (AI) within five years as an organization around the world focusing on the use of technology to improve efficiency in their business. New jobs will appear to balance and allow employees to perform higher tasks, which will lead to a restructuring role across the business. In recent years, there has been an increase in technology investment worldwide, and only awaiting robots and other cognitive technologies to work in the place where the development of the community is here encompassing the pros and cons of the technology to the public to achieve the 4.0 industrial Revolution in Malaysia. The development of technology resources nowadays has resulted in a high standard of innovations and creations that can bring the world to the new millennium. As such, the advanced Technology device equipment is now readily available anywhere. According to the official Portal of the National Archives of Malaysia in 2015, innovation in various sources of technology is produced to enable the Community's communication and the current human interaction is more quickly and able to exceed time and place. Due to the widespread use of each generation of advanced technology, it has led to the adoption of moral values and the development of one generation to another.
User Experience Measurement using Augmented Reality Application in Learning 4.0

This Research aims to acquire the effectivity of learning media based on augmented reality on Multimedia System Course in Computer System Department, Information Technology Faculty, Andalas University.The research was commencing initialization by data acquisition by the online questioner.The result is the user assessment on six application quality that is: Attractiveness, Perspicuity, Efficiency, Dependability, Stimulation, and Novelty.The result shows that in a range between -3 and 3, the application possesses decent result by achieving 1.30 for Attractiveness, 1.12 for Perspicuity, 1.15 for Efficiency, 1.10 for Dependability, 1.43 for Stimulation and 0.74 for Novelty.The benchmarking result shows that positives rating average mark is in the above averages.Based on the analysis in this research, Augmented Reality Application increase the effectivity of learning 4.0.
Multi-View Feature Clustering Technique for Detection and Classification of Human Actions

Recognizing the actions performed by any person is the most successful applications in pattern recognition.Detecting the action in a moving camera influences dynamic view changes, is based on spatio-temporal information at multiple temporal scales.In this paper, we are presenting a system that is dependent on actions based on multi-view information.These multi-view features are extracted from various temporal scales.The GMM and Prewitt edge filter is used for detecting background and foreground image.The Nearest Mean Classifier is used to cluster features vector's of moving object.The experiment results demonstrated using Kth dataset producing 98% of accuracy.
Role of Breast Ultrasonography in Adding Diagnostic Value in Case of Dense Breasts Detected by Mammography

Introduction: Mammography is a simple and effective tool in early detection of breast lesions. However its sensitivity is less in dense breast. The aim of the study is to see whether addition of ultrasonography adds on to the diagnostic value by finding more breast lesions in evaluation of mammographic dense breasts or not. &#x0D; Methods: The hospital data of all the patients who underwent mammography in the Department of Radiology of Shree Birendra Hospital, Kathmandu over a period of two and a half years from November 2017 to April 2020 were retrieved and retrospectively analyzed. The mammographic findings of patients with dense breast were compared with the corroborative ultrasonographic findings. Discrepancy in positive findings between the two imaging modalities was studied. &#x0D; Results: Out of 536 patients studied, 238 patients had mammographic dense breast. Comparative study showed 82 cases with positive findings on mammography alone, compared to 114 cases with positive findings on combined mammography and ultrasonography with p-value &lt; 0.05 which is statistically significant.&#x0D; Conclusions: Ultrasonography is a useful additional imaging modality in evaluation of mammographic dense breast by finding more breast lesions compared to Mammography alone.
An In-depth Analysis for Optimal Cable Tray Support Span

Nowadays, it is crucial to reduce the cost of the overall project so that the competitiveness of offshore oil and gas without compromising on quality or safety can be achieved. This study investigates how to define the longest cable tray support span considering constructability in order to reduce the number of supports which is a chief cost of a cable tray system. This study presents not only material and geometry frequently used for cable tray but also the formula to estimate the maximum cable load which can be installed within cable tray. To verify the longest span without increasing the crosssection of cable tray, finite element modelling approach was employed based on ANSYS and comparisons were made between numerical analysis and simplified hand calculation. The constructability for the longer span obtained from finite element analysis has been validated in view of manual handling of the cable tray. It is shown that the optimal span suggested in this paper can lead to a better economic benefit without degrading the constructability. For instance, as the span is longer, the cost of material as well as construction manpower can be saved. It is also expected that this approach will contribute to enhance the competitiveness of offshore oil and gas.
Augmented Reality in VET: Benefits of a qualitative and quantitative study for workplace training

Augmented Reality (AR) is widely used in various training and learning settings, like schools, universities, and workplaces.The effects of individual AR learning apps on learning performance in formal learning environments have been examined in detail in various studies.However, up to today only few empirical studies have investigated AR's potential for supporting learning at workplaces and for vocational education and training (VET).In this study we target this research gap by using AR applications for Microsoft Hololens and tablet/smartphone to support learning in technically oriented workplace trainings.We conducted an observational field study with 135 professionals from the event technology industry and the results of our qualitative and quantitative data analysis suggest that integrating AR elements into trainings at workplaces has the potential to enable training experiences which can hardly be simulated with traditional media and which are perceived as beneficial for motivation and learning performance.
НОВІТНІ ІНФОРМАЦІЙНІ ТЕХНОЛОГІЇ НАВЧАННЯ ЯК МЕТОД ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ НАВЧАЛЬНОГО ПРОЦЕСУ У ПОЧАТКОВІЙ ШКОЛІ

Introduction. The rapid development of technical and software capabilities of personal computers, the spread of innovative creative technologies create real opportunities for their use in the education system in order to develop the creative potential of students and ensure continuity of learning between different levels of educational institutions.Given this, computer technology is an effective means of increasing students 'interest in learning, and in the hands of a skilled teacher it is a powerful tool to increase the motivation of the lesson, to develop students' ability to acquire knowledge independently.Purpose of the article is to study the effectiveness of the use of ICT in science lessons in primary school for the development of mental, emotional, cognitive areas of primary school.Methods: empirical research methods: questionnaires and testing, The obtained results are presented using statistical, tabular and graphical methods.Originality. During the lessons with the use of ICT individual and group forms of work are combined, students are formed positive motivation for effective cooperation, which promotes the activation of cognitive abilities of students, stimulates the process of their thinking. The use of ICT in education should be aimed at human development in the modern information society, and it is the school that should teach to use an unlimited source of information - the Internet. Since the visual components of thinking play an extremely important role in human life, their use in the study of material using ICT increases the effectiveness of learning. Performing analytical exercises in science contributes to the development of students' ability to analyze the material studied, to highlight the essential, to draw conclusions. Conducting a lesson, which is a comprehensive application of traditional and multimedia technologies, provides students with not only deep and solid knowledge, but also develops intellectual, creative abilities, develops the ability to independently acquire new knowledge and work with different sources of information.Conclusion. Thus, ICT should perform a certain educational function, help the child navigate the flow of information, perceive it, remember. However, it is important to remember that ICTs should be an ancillary element to the learning process, not a core one, and all stages of work should be clearly planned. Further research will focus on the use of ICT for extracurricular and extracurricular activities with primary school students.