Reviewerly/exHarmony huggingface dataset:
Erratic Navigation in Lecture Videos using Hybrid Text based Index Point Generation

The difficulty in lecture videos is an erratic navigation in lecture video for watching only the needed portion of video content.Machine learning technologies like Optical Character Recognition and Automatic Speech Recognition allows to easily fetch the information that is hybrid text from lecture slides and audio respectively.This paper presents three main analysis for hybrid text retrieval, which is further useful for indexing the video.The experimental results indicate that the key frame extraction accuracy is 94 percent.The accuracy of the Slide-To-Text conversion achieved by this study's evaluation of the text extraction capability of Tesseract, Abbyy Finereader, Transym, and the Google Cloud Vision Optical Character Recognition is 92.0%, 90.5%, 80.8%, and 96.7% respectively.Similarly the result of title identification is about 96 percent.To extract the speech text three different APIs are used namely, Microsoft, IBM, and Google Speech-to-Text API.The performance of the transcript generator is measured using Word Error Rate, Word Recognition Rate, and Sentence Error Rate metrics.This paper found that Google Cloud Vision Optical Character Recognition and Google Speech-to-Text API have achieved best results compared to other methods.The results obtained are very good and agreeable, therefore the proposed methods can be used for automating the lecture video indexing.
A Proposed Deep Learning based Framework for Arabic Text Classification

Deep learning has become one of the crucial trends in the modern era due to the huge amount of data that has become available.This paper aims to investigate and improve a generic framework for Arabic Text Classification (ATC) with different deep learning techniques.Besides, it deals directly with a word in its original style as a basic unit of modern Arabic sentence and on a different level of N-grams versus a combination of Intersected Consecutive Word proposed method (ICW).However, it aimed to discuss the results of the different experiments for the enhancements of the proposed method on different deep learning algorithms such as Scaled Conjugate Gradient (SCG) and Gradient descent with momentum and adaptive learning rate backpropagation (GDX) on ATC.The results showed that the proposed framework applied with the SCG algorithm and TF-IDF outperforms the GDX algorithm with an accuracy ratio of 90.65%.
Mobile Applications for the Implementation of Health Control against Covid-19 in Educational Centers, a Systematic Review of the Literature

A health crisis caused by the SARS-CoV-2 virus is still ongoing.That is why an important factor for the resumption of on-site classes is the creation of sanitary measures to help control Covid-19.The present research is a literature review, The PRISMA methodology is used and 265 articles are collected from various databases such as EBSCO Host, IEEE Xplore, SAGE, ScienceDirect, and Scopus.According to the inclusion and exclusion criteria, the most relevant articles aligned to the topic were identified, systematizing 119 articles.Showcasing digital technologies used in mobile applications that allow better control, tracking, and monitoring of the health status of students, teachers, and staff of educational centers, in addition to the parameters and quality attributes that must be taken into account for the effective sanitary control of the disease, finally, a development model is proposed.
Experimental Evaluation of Basic Similarity Measures and their Application in Visual Information Retrieval

Searching for similar images is an important feature for image databases and decision support systems in various subject domains.However, it is essential that search results are sorted by degree of similarity in reverse order.This paper presents a comparative analysis of four existing similarity measures and experimentally tests whether they could be used to calculate similarity between images.Metrics could be evaluated by comparing their results to the cumulative human perception of similarity between the same images, obtained by real people.However, this introduces a lot of subjectivism due to nonuniform judgement and evaluation scales.The paper presents a more objective approach -checks which measure performs best in retrieving more images, containing objects of the same type.Results show all four measures could be used to calculate similarity between images, but Jaccard's index performs best in most cases, because it compares features vectors positionally and thus indirectly consider shape, position, orientation and other features.
Design of a Cloud-Blockchain-based Secure Internet of Things Architecture

The growing number of Internet of Things (IoT) objects and the operational and security challenges in IoT systems are encouraging researchers to design suitable IoT architecture.Enormous data generated in the IoT environment face several kinds of security and privacy challenges.IoT system generally suffers from several issues like data storage, safety, privacy, integrity, transparency, trust, and single point of failure.IoT environment is emerging with several solutions to resolve these problems.The main objective of this paper is to design a cloud-blockchain-based secure IoT architecture that provides advanced and efficient storage and security solutions to IoT ecosystem.Blockchain technology appears to be a decent choice to resolve such kinds of problems.Blockchain technology uses a hash-based cryptographic technique for information security and integrity.Cloud computing provides advanced storage solutions with several remote services to store, compute and analyze the data.The proposed IoT architecture is based on the integration of cloud and blockchain services, which aim to provide transparent, decentralized, and trustworthy and secure storage solutions.In addition to the standard layers (perception layer, network layer, processing layer, and application layer) the proposed IoT architecture in the present paper includes a service layer, a security layer, and a parallel management and control layer, which focus on the security and management of the entire IoT infrastructure.
Federated Learning and its Applications for Security and Communication

The not so long ago, Artificial Intelligence (AI) has revolutionized our life by giving rise to the idea of self-learning in different environments.Amongst its different variants, Federated Learning (FL) is a novel approach that relies on decentralized communication data and its associated training.While reducing the amount of data acquired from users, federated learning derives the benefits of popular machine learning techniques, it brings learning to the edge or directly on-device.FL, frequently referred to as a new dawn in AI, is still in its early stages and is yet to garner widespread acceptance, owing to its (unknown) security and privacy implications.In this paper, we give an illustrative explanation of FL techniques, communication, and applications with privacy as well as security issues.According to our findings, there are fewer privacy-specific dangers linked with FL than security threats.We conclude the paper with the challenges of FL with special emphases on security.
Secure and Efficient Implicit Certificates: Improving the Performance for Host Identity Protocol in IoT

Implicit certificates own the shorter public key validation data.This property makes them appealing in resourceconstrained IoT systems where public-key authentication is performed very often, which is common in Host Identity Protocol (HIP).However, it is still a critical challenge in IoT how to guarantee the security and efficiency of implicit certificates.This article presents a forgery attack for the Privacy-aware HIP (P-HIP), and then propose a Secure and Efficient Implicit Certificate (SEIC) scheme that can improve the security of the P-HIP and the efficiency of elliptic-curve point multiplications for IoT devices.For a fix-point multiplication, the proposed approach is about 1.5 times faster than the method in SIMPL scheme.Furthermore, we improve the performance of SEIC with the butterfly key expansion process, and then construct an improved P-HIP.Experimental results show that compare to the existing schemes, the improved scheme makes a user/device have both the smallest computation cost and the smallest communication cost.
A Study on Rank Students in Karanataka Secondary Education and Examination Board

Education aims is all-round development pupils. The students are excelling in KSEEB. But few are brilliant, good parental support also failed and poor background and average level IQ of the main streams do well in exam. The investigator planned to have case study method as ideal methodology, where a holistic and in-depth investigation. The finding showing parent should take care education and maintain congenial and conducive atmosphere at home. Teachers can identify the requirements of the students that help them to achieve high and enhance confidence and performance level of the students.
ON THE QUESTION ON METHOD SELECTION OF THE EDGE DETECTION AND GRAPHIC OBJECT RECOGNITION APPLIED TO THE TASK OF LICENCE PLATE IDENTIFICATION

The method of the edge detection and graphic object recognition – licence plate is presented in this article. The development and use of an automatic car number recognition system is an urgent task, as it allows you to control the access of a car to a closed protected area without the participation of an operator. The article presents a comparative analysis of the quality and efficiency of various methods (Viola–Jones object detection framework, Canny edge detector, Sobel operator). The authors proposed a modification of the method for determining boundaries within the framework of the problem being solved, quantified the accuracy of recognition.
Student Teachers' Perceptions of the Connection between Literacy, Equality and Digitalization

Digitalization has many implications for the development of equality in societies and is also reflected in education. In a digitalized world, literacy is an essential skill for both individual and societal development. This study explores Finnish student teachers' perceptions of the connection between literacy, equality, and digitalization. The research material consists of professional opinion pieces written by student teachers (N=37). The qualitative study examined student teachers' perceptions of literacy, equality, and digitalization. Student teachers' perceptions concerned pupils' polarizing backgrounds for learning, literacy instruction and the challenge of differentiating classes, deterioration of literacy and other learning, and positive aspects of literacy learning. The results show that student teachers recognize the connection between literacy and digitalization and their broad impact on societal development and equity. As future teachers, they perceived the impact of the development of inequalities on everyday school life and on opportunities to learn key skills as a challenge. The results show that the polarizing starting points for pupils is a worrying trend and challenges the future teacher in a digitalizing world. The results of the study underline that teacher training and teachers are important societal actors and reformers.
Pianura Padana Geomorphology, Climate Condition and Diffusion of COVID -19 Hypotesys of Work

In recent study was verified the statistical hypothesis of diffusion of COVID 19 related some relevant high way of itlay (especially north regions). The geomorphological characteristic of PIANURA PADANA, whit at north closed be ALPI mountain and in south by APPENIMI MOUNTAINS have created since ancient time particular climate condition. If we observe diffusion of Covid 19 in italy at today date is possible to verify a sort of different velocity in diffusion between north region vs the other. There are relationship between this “closed environment “and diffusion of some relevant virus? Pianura padana is famous for its kind of climate with lots of fog, but also for air pollution as reported by EPHA and other organization.
Cybercrime and its Violation of Digital Platform Security: An Islamic Law Perspective

The sophistication of today's technology has seen an increase in the demand for online services involving various matters.Although this has a positive impact, this sophistication is potentially misused by certain parties for criminal purposes.Cybercrime is a modern crime that is increasing along with the enlightenment of communication and information technology.Property theft crimes include hacking, scamming, phishing, forgery of credit cards and bank account cards, and illegal money transfers.Cyber crimes are becoming more prevalent nowadays.Therefore, this study is important in exploring the violation of cybercrime on digital platform security form Islamic law perspective.Thus, this study aims to identify the forms of cybercrime in today's digital platforms and their punishment through Islamic law.The study was conducted qualitatively using literature data such as theses and journals to examine the elements of cybercrime according to Islamic law.The study's findings were analyzed inductively to determine today's cybercrime punishments on digital platforms.The change of criminal background from physical to digital format is a new thing that previous Muslim scholars did not discuss.However, the four basic principles of crime set, namely the concept of digital property, transfer of property, invasion of control, and no doubt allow the perpetrator to be convicted of the crime of theft according to Islamic law if they meet the conditions set.Further field research is proposed to obtain more authentic data related to the violation of cyber crime among digital platform's user.
Survey on Rate of Return on Investment in Education

The rate of return to education is the sum of discounted benefits and costs. It shows the relatively profitable sector for a secure investment. The main objective of this study is to review and analyze the volume of the rate of return to education. The literature review, survey design was used, and the materials were collected using purposive sampling. The analysis concludes that the rate of return on education can be analyzed based on the additional year of schooling, sex, levels of education, occupations, geographical regions, countries, and sectors. Different studies conducted in different countries reveal that the size of the rate of return differs according to the categories mentioned above. It means that overall returns to education seem highly heterogeneous. Likewise, most studies show that the private rate of returns for females is higher than that of males; the tertiary level's returns are higher than the other levels, and the urban sector's returns are higher than that of the rural sector.
PERANCANGAN SISTEM INFORMASI PENYEWAAN ALAT BERAT BERBASIS WEB PADA PT. ORANG KREATIF EKSIS TANGERANG

&#x0D; Creative people exist is a company engaged in land transportation services, initially named UD. Creative. and change CV. Creative move forward together. Founded in early 1989 by Mr. Gobang Wijaya, he has more than twenty years of experience handling transportation and supply of finished goods or raw materials to Jabodetabek and Sumatra. Reservations and receipts of equipment rental orders are still running manually, in ordering equipment rental customers must come directly to the location, this results in limited time for customers to make tool rental orders and very small opportunities for companies to get orders outside working hours. In the midst of intense competition in the business world today, the Company is required to create opportunities to be superior to its competitors. In order to maintain trust and to increase the company's competitiveness, PT. Existing creative people must improve service to customers by fixing problems that often occur in implementation related to leasing at this time. The purpose of this study is to enable customers to place orders for tools remotely without being limited by distance and time. Facilitate companies in disseminating information about tool products offered to customers globally. This research was conducted using data collection methods (observations, interviews, literature studies). The design of the systems used in this research is using the Waterfall method. The designer of the heavy equipment rental information system uses the PHP and MySQL programming languages ​​as the database. The result of this research is an application of a web-based heavy equipment rental information system. With the rental information system is expected to provide convenience to PT. Creative people exist in carrying out their business activities related to leasing.&#x0D;
Data Mining Tingkat Kepatuhan Pasien Tuberkulosis dalam Menjalani Pengobatan Mengunakan Agloritma C4.5

The high number of TB cases in the work area of ​​the Bukittinggi City Health Service Puskesmas Nilam Sari. The number of patients who do not comply with TB treatment. This study was conducted to determine the level of patient compliance in undergoing TB treatment so that the results of the study become input for medical personnel in charge of TB at Nilam Sari Health Center in policy making. The C4.5 method was used in this study to classify the data of compliant and non-adherent TB patients in undergoing treatment at the Nilam Sari Health Center. The data from TB patient visits to the Puskesmas were analyzed using the C4.5 method to obtain new knowledge from the TB patient visit data to the Puskesmas. The data analyzed consisted of attributes of the visit schedule, environmental distance, age which influenced the decision criteria for the level of adherence of TB patients in undergoing treatment at the Nilam Sari Health Center. The decision criteria for the results of TB patient visits consist of "Complied" and Non-Complied" which refers to the decision criteria for the TB patient's visit schedule. Tests conducted on the training data of the visit schedule of the attribute that most influence the decision on the level of adherence of TB patients in undergoing treatment. The implementation of the results using Weka 3.6.9 software and produces an accuracy of compliant patients of 13.4615% and accuracy of non-adherent patients of 86.5385%. The results of the classification method C.4.5 were greater in patients who were not compliant than patients who were obedient in undergoing TB treatment at the Nilan Sari Health Center. The test results have been able to help medical personnel in the Bukittinggi City Health Office work area in undergoing treatment to be able to make a policy for handling TB cases in the future.
Social Media Platforms Usage for Learning and Library Services in Selected Higher Learning Institutions in Zanzibar

This study aimed at examining the usage of social media platforms used on learning and library services in Higher Learning Institutions in Zanzibar. The Study specifically focused on five (5) social media platforms at three selected universities located in Zanzibar. The study involved three research questions. The first question was saying about what are the types of social media platforms used on learning and library services for knowledge sharing in SUZA, ZU, and SUMAIT? The second question said what are the uses of social media platforms used on learning and library services for knowledge sharing in SUZA, ZU, and SUMAIT? And the third question said that what are the challenges facing librarians when social media platforms are used on library services for knowledge sharing in SUZA, ZU, and SUMAIT? The methods that were used in the study include both quantitative and qualitative research designs. Questionnaires and interview tools were used for collecting data to the respondents. The combinations of purposive and stratified random sampling techniques were employed on library users through questionnaires and interviews would take with librarians. The result of this study showed that social media platforms are very well known by the respondents and daily used in their studies. Also, social media are effectively used in most academic libraries to support education progress and most of the respondents prefer using social media in their studies because of Sharing knowledge that involves learning, understanding, extending, and repeating the information, ideas, views, and the resources among persons, connected on a specific ground. The result presented that the availability of social media platforms in the academic library has totally changed the image of the library in terms of delivering the services to the users from the librarians who use social media for reference purposes as a result of having a high number of users on using library through knowledge sharing. The result of the study showed that Poor knowledge of managing and using electronic records and Poor support from the management are the great challenges facing libraries in operating social media platforms on learning and library services for knowledge sharing in higher institutions in Zanzibar as a result of failing to reach many audiences. The study concluded that Social media provide more chances for interaction, connection, sharing, and communication with library users in the library. Librarians could use social media to market their services and resources using different platforms.
Penerapan Media Pembelajaran Vlog untuk Meningkatkan Kemampuan Berbicara Bahasa Inggris Calon Kadet Polimarin

The cadet candidates in multicultural ship are expected to increase their English skills especially speaking skill before working in real life. But, fortunately, in this pandemic era (Covid-19), English learning process which was limited through online and unvaried teaching learning method had detained their speaking skill. Moreover, vlogging as a teaching learning method would become a solution to improve their speaking skill during this pandemic. This research was conducted using descriptive qualitative method which the data were got by delivering interview, observation, and video analysis. The subjects of this study were 28 cadet candidates of Marine Engineering Program from A and B class. The result showed that the vlogging method could improve their speaking skills.
A Study on Chinese Corresponding Expressions of ‘-(eu)leo’ Based on Parallel Corpus

‘-(eu)leo’ is a connective ending with the meaning of [purpose], but when ‘-(eu)leo’ used as a fixed form of ‘mwo haleo’, all the semantic and syntactic constraints of the connective ending ‘-(eu)leo’ will be lifted, and it will have new grammatical features. This paper examined the Chinese corresponding expressions of the connective ending ‘-(eu)leo’ and ‘mwo haleo’ using the parallel corpus of Korean-Chinese dramas. As a result of the analysis, the motion-cum-purpose constructions composed of the connective ending ‘-(eu)leo’ corresponds to the no marking motion-cum-purpose constructions in Chinese with the highest frequency. That is, the connective ending ‘-(eu)leo’ and ‘no marking’ have the highest corresponding frequency. Of course, the correspondence between ‘-(eu)leo’ and some purpose expressions in Chinese can also be found in the parallel corpus, but the frequency is very low. The ‘mwo haleo’ in the rhetorical interrogative sentence corresponds to the Chinese adverb ‘hebi’ with a similar meaning with the highest frequency. In addition, ‘mwo haleo’ also had a corresponding relationship with Chinese various interrogative pronouns and expressions with the meaning of [unnecessary]. (Yonsei University)