Reviewerly/exHarmony huggingface dataset:
Customized E-Certification Generation using Blockchain Technology for Distributed Framework

Blockchain is very emerging trend in recent years; it is basically decentralized approach which provides transparency to transactional data. Various researchers already introduce blockchain and its state of art, it is too much effective in a large data processing as well as global transactional systems. In this paper we introduce blockchain base E-certificate generation using cloud environment. Basically, in real time environment it is hard to carry educational or other important documentaries. Some confidential information should be leak from various centralized systems when any resource has compromised with attackers. In this system we provide drastic supervision base blockchain technique to generate e certificate according to submitted documentary by respective student as well as user. The system illustrates into four different sections. First, we define user can upload his documentary or educational certificates, similarly the middleware authority known as Third Party Auditor (TPA) will verify such documents from authenticated organization. If the entire documents have authorized, then it dynamically generates e-certificate with QR code and unique serial identification number. Once this process has done whole information has stored into various data nodes and it returns QR code as well as UID to student. Moreover, when any organization wants to verification documentary of respect to student, he can submit the QR code or are given Unique Identification number to respective organization. When such organizations will verify the student’s data the blockchain will provide consistent information after the secure authentication. In entire execution we have written open Smart contract, had generation approach using SHA family algorithm, mining algorithm to generator valid hash, in consensus algorithm to evaluate the proof of work.
CLOUD DATA LAYERED PRIVACY AND SECURITY ARCHITECTURE

The cloud owner may be concerned about managing knowledge while keeping its utility and maintaining the security plan. We developed a layer-based architecture to reduce the overhead at the cloud service provider for adding security to each document and then transferring it to the client. This method protects the sensitive document's security and the privacy of its data. The proposed approach categorises data according to its sensitivity to achieve a balance between data security and utility. Different algorithmic schemes are required for various categories' perseverance. We discovered a cloud-based distributed environment in which data is classified into four levels of sensitivity: public, confidential, secret, and top secret, with each level requiring a different approach to ensure data security. We built a provision to detect the malfunctioning node that is responsible for data leakage at the most sensitive layers, such as secret and top secret data. Finally, experimental analysis is used to evaluate the layer-based approach's performance. The experimental results show that when processing 200 documents with a total size of 20 MB, the point taken (in ms) for public, confidential, secret, and top secret data is 437, 2239, 3142, 3900 for public, confidential, secret, and top secret data, respectively, when the documents are distributed among different users.
Analysis of Context Aware Computing Systems in Internet of Things

Internet of Things (IoT) has been developed speedily due to modern advancements in communications and sensor technologies. Similarly IoT deployments are rising with accelerating speed. Since this field develops in number and heterogeneity, intelligence has become important aspect of IoT. The data has become Big in nature so understanding, extracting knowledge and interpreting this Big Data is critical step for upcoming future of IoT. One of the major difficulties in the way to smart IoT is understanding context.  Context is defined as making sense of the situation or environment using data received from the sensors and performing actions accordingly. This is referred as context-aware computing. Context aware systems are in high demand in fields/area like Smart/Intelligent Environments, Pervasive & Ubiquitous Computing etc. They collect the data and adjust the system actions accordingly with the help of context details. In this survey paper, we discuss the perception of context awareness, context lifecycle, context modeling approaches and context reasoning methods in detail. The survey shows that Ontology based modeling and Supervised learning reasoning are widely used in context-aware computing systems. Finally, applications of context-aware systems are listed along with discussion on open issues to point out challenges and upcoming development direction of context-aware systems.
Fuzzy Logic Application for Drought Risk Determination in Kulon Progo Regency, Daerah Istimewa Yogyakarta Province, Indonesia

This study aims to determine the drought risk of Kulon Progo Regency using fuzzy logic and study the characteristics. The input variables used in this study are the drought level, exposed population, and vulnerable population. The Mamdani method used in the fuzzy inference to obtain the output variable, that is, the Drought Risk Index (DRI). Then, the DRI are mapped to generate the drought risk map. The result shows that the fuzzy logic can be used to determine the drought risk. The drought risk level of the subdistricts in Kulon Progo Regency was fluctuated from 2010 to 2019. The drought risk level in 2010-2015 and 2019 were dominated by the low category. Meanwhile, the drought risk level in 2016-2018 was dominated by the very low category. Furthermore, the result also shows that the subdistricts located in the southern region of Kulon Progo Regency had a higher risk than those in the middle and northern regions during the last 10 years
Air-to-Air Automatic Landing of Unmanned Aerial Vehicles: a Quasi Time-Optimal Hybrid Strategy

It is well known that small electric Unmanned Aerial Vehicles (UAVs) suffer from low endurance problems. A possibility to extend the range of UAV missions could be to have a carrier drone with several lightweight multirotors aboard, which can take-off from and land on it. In this letter the challenging problem of Air-to-Air Automatic Landing (AAAL) of UAVs is solved by developing a strategy that combines a quasi-time optimal feedback and a hybrid logic to ensure a safe and fast landing. Eventually, the proposed algorithm is validated through experimental activities involving the landing of a small quadcopter on a bigger octocopter used as a carrier.
An Empirical Approach to Understanding Students’ Academic Performance: YouTube for Learning during the Covid-19 pandemic

YouTube is a vital platform among social-media sites, especially in terms of online learning/self-learning. This paper focuses on the factors liable to encourage online learning acceptance among online users in the Arab world during Covid-19. It explores the influence of YouTube videos on users’ behavioral intention regarding eLearning acceptance and their perceptions of this. Based on a survey method that targeted university students (n=180) in Jordan, the study used the PLS-SEM procedure, through SmartPLS software, to analyze participants’ responses. The findings here coincide highly with prior research indicating that users’ behavioral intention to adopt an online learning method is positively influenced by performance expectancy and effort expectancy. The study contributed to technology adoption e.g., YouTube in academia, especially in Jordan. Respondents showed a willingness to employ and adopt the new technology in their education. Finally, the findings were presented and discussed through the UTAUT and TAM frameworks.
EDUCATIONAL IMPORTANCE OF FOLK SONGS IN PRIMARY EDUCATION

The article gives the results of the analysis of the textbooks on music  for secondary schools,based on the analysis, the state of  teacing of folk songs at scol is studied.
The Development of Pictorial Dictionary for Learning Dusun Language

The developed project is a web-based dictionary for learning Dusun Language. The purpose of this project is to develop a pictorial dictionary for learning Dusun Language. The dictionary specifically able to translate Malay to Dusun Language and vice versa. The system also help user to understand how to use the word by using the example of sentences using the word searched or selected by the user. This system also provides pronunciation or speech out for the word selected by user, make user easier to pronouns the words. The word selected by the user will be also included with its definition, Synonym to help the user understand more of the word. Comparison with another similar system such as English -KadazanTranslator's Companion had been done as the result been taken to build this system that fulfills what the current system does not have. This system was developed based on the Iterative Model. The outcome of this system is expected can help any user or consumer that wanted to learn Dusun or need to translate Malay language to Dusun. Thus, this system is to help the consumer or user to make decision based on the word they want to use in conversation. Therefore, this system has a great potential in helping user to learn Dusun language.
ANALISIS KESALAHAN SISWA SMP KELAS VIII DALAM MENYELESAIKAN SOAL SISTEM PERSAMAAN LINEAR DUA VARIABEL (SPLDV)

This study aims to describe the mistakes made by students and analyze the factors that cause students to make mistakes in solving problems on the SPLDV material. This research was conducted at SMP Pasundan 2 Cimahi grade 8 in the even semester. The subjects of this study were students of grade 8E at SMP Pasundan 2 Cimahi. The data collection technique used in this research is by using the method of written tests and interviews. The methods used in data analysis include data reduction, data presentation and conclusion drawing. The results of data analysis can be concluded that in the process of solving the SPLDV material questions students made several mistakes, namely: 1) conceptual errors; 2) calculation errors, and 3) procedural errors. The factors that make students make these mistakes are the low understanding ability of students in mastering concepts, lack of doing exercises to solve various questions, students tend to be in a hurry when working on questions, lack of accuracy of students in solving problems and the high sense of laziness of students in checking back. the result of the answer.
Inclusión, atención a la diversidad y neuroeducación en Educación Física.

espanolEl presente trabajo tiene como objetivo general analizar la relacion entre inclusion, atencion a la diversidad y neuroeducacion en el ambito de Educacion Fisica, a traves del analisis factorial confirmatorio (AFC) de una escala, creada ad hoc, validada y confirmada. Para la busqueda de respuestas, se ha realizado un proceso de investigacion no experimental, descriptivo y explicativo. El instrumento de recogida de datos ha sido una escala Likert (con numero impar de opciones, cinco niveles de respuesta y rango de 1 a 5) que se ha validado en contenido y fiabilidad (alpha de Cronbach, .833) buena. La validez de constructo se ha realizado con un analisis factorial exploratorio (AFE) (KMO: .771, Bartlett: sign.000, determinante: 6.064E-7). La muestra ha sido de 359 estudiantes universitarios que cursan la especialidad de Educacion Fisica. El AFC nos permitio concluir que es posible esta relacion, con mayor fuerza entre inclusion y atencion a la diversidad, y entre esta ultima y neuroeducacion, y con menor fuerza entre inclusion y neuroeducacion. EnglishThe general objective of this work is to analyze the relationship between inclusion, attention to diversity and neuroeducation in the field of Physical Education, through the confirmatory factor analysis (CFA) of a scale, created ad hoc, validated and confirmed. For the search for answers, a non-experimental, descriptive and explanatory research process has been carried out. The data collection instrument was a Likert scale (with an odd number of options, five response levels and a range from 1 to 5) that was validated for content and reliability (Cronbach’s alpha, .833). The construct validity has been carried out with an exploratory factor analysis (EFA) (KMO: .771, Bartlett: sign.000, determinant: 6.064E-7). The sample consisted of 359 university students majoring in Physical Education. The CFA allowed us to conclude that this relationship is possible, with greater strength between inclusion and attention to diversity, and between the latter and neuroeducation, and with lesser strength between inclusion and neuroeducation.
Analysis of Feature Reduction Techniques for Human Interaction Detection

This research paper elaborates on how different feature reduction processes are applied on human joint coordinate data, used to train a machine learning model for detection and classification of eight distinct interactions between two people with high accuracy and low computation time. We believe that a low-complexity machine learning algorithm such as SVM, when combined with the appropriate feature reduction technique can help reduce the trade-off between model accuracy and computation time. Two feature reduction methods have been explored in detail, namely Principal Component Analysis and Univariate Feature Selection. We have recorded our observations of the positive effect of these methods on the model, which uses joint motion and joint distance features for both real time detection and full sequence classification.
computer forensic survey

Use of computers inside the domain of regulation is brand new and restrained to the floor ranges only. But the modern day strategies and kinds of crimes, known as cyber-crimes going to the intense ranges of terrorism thru the channels of monetary offences at every country wide and global stages display the prevailing interface of regulation and cyber forensics insufficient and lagging both in concept further to in exercise. Such areas can be of crime research and trial in the courts of law, there by making humble advances on this place as enactment of Information Technology Act and amendments in this regulation further to within the Code of Criminal Procedure and Indian Evidence proving to be in big element insufficient and inadequate to deal with to the existing desires. Such needs are attaining over eighty% convictions like within the evolved international, medical investigations and proof of proof inside the courts through cyber forensics strategies and generation.
Hierarchical Feature Generating Network for Zero-Shot Learning by Knowledge Graph

Zero-Shot Learning (ZSL) has received much attention and has achieved great success. Most of existing ZSL methods transfer knowledge learned from seen classes to unseen classes by utilizing shared side information, such as, annotated attribute vectors, word embeddings, etc. Recently, the most popular method in ZSL is utilizing generative models to do semantic augmentation for unseen classes. However, these models generate features in one step which will lead to the domain shift problem and don’t leverage rich shared information between seen and unseen classes in the knowledge graph. Thus we construct a hierarchical generative model that synthesizes features for unseen classes layer by layer instead of one-step like previous ZSL work. Experimental results on various datasets show that our method can significantly improve the performance compared with the state-of-the-art ZSL models.
segurança da informação nas redes sociais

This article approached about information security, show us how to Interact with social networks, the importance of your utilization in the social networks, the risks taken in your utilization, the suffered threats to whom practice every type of attack and how previne yourself. The social networks came like a facilitation to supply our need to share everything that happen in your lifes, this need can be explain saying that it make part of our lifes since our ancestors, but of couse by others ways. With this new way that is social networks we must have the discernment about what we should and can pots, in our personal accounts and in organizational accounts. Will be approached too about diverse monitoring tools, management and security avaible today and thar can be used by companies that way reducing your risks in the midle of the internet, but we haven’t the same benefits for the personal accounts so having to take certain care when publish informations voluntarily that could end harming. In addition will be say about some ways to prevention to personal and  organizations accounts, essential to be follow and implemented when using social networks making them safer.
Impact of information technology on a person and his consciousness

The article is devoted to the analysis of the influence of information technologies on human life. The article proves that modern technologies make a person programmed, since getting into a network circulation, he becomes a part of it, which leads to a mixture of real and virtual, real and fictional. Particular attention is paid to the analysis of modern scientific research, which substantiate the process of degradation of human consciousness under the influence of long-term communication with a computer, when a person loses his true essence. It is concluded that the main global problem of the modern information society is the problem of human ecology and his consciousness.
PENERAPAN METODE WATERFALL DALAM MERANCANG APLIKASI MOBILE GURU DAN ORANG TUA

In the current development of educational technology, the world of education cannot be separated from the role of the internet. Mobile devices have become part of human daily life in facilitating activities, currently, the need for mobile-based information technology is very necessary, therefore schools need an information system that can support and provide services between teachers (schools) and parents of students. . This study discusses the application of the waterfall in designing mobile-based teacher and parent applications. Currently, most of the information systems in schools are still done manually, starting from news announcements, school grades, and tuition payments, making it possible for errors to occur during the delivery process. The design of this application is the best solution to solve problems that exist in schools, and with a computerized system, an effective and efficient activity can be achieved in supporting activities at this school.
ENHANCING STUDENT’S VOCABULARY ITEMS THROUGH ONLINE ANAGRAM GAME

This paper presents the finding of new virtual classroom action research that made Anagram Game available on online learning environment concerning the improvement of English vocabulary items. The purpose of this research is to find out whether the use of online Anagram Game enhances students’ vocabulary or not. The problems of this research, however, are the use of anagram game enhances students’ vocabulary and how the implementation of using anagram game to enhance students’ vocabulary. This research applied action research which restricted only two cycles of implementation and delivered online. The study participated with 12 students by the second year of SMPN 2 Watampone. The data obtained were evaluated using a test, then followed by using instruments interview and observation. In analyzing the data, it was explained by utilizing data reduction, data display, conclusion drawing and verification. The result demonstrated that the students’ vocabulary items mastery improved from the pre-test to the cycle II test. It was shown from the improvement of the mean score of the students in pre-test was 29.16, cycle I test was 72.08, and cycle II test was 81.2. Moreover, the implementation of online anagram game could be motivated the students more enthusiastic in learning English. This investigation has revealed that online anagram game can improve students’ vocabulary.
Review on Biometric Validation Systems

Cybersecurity has become an inextricable aspect of IT as a result of developments in the field. Validation plays a major role in security management. This study assesses biometric simulation models and discusses several future opportunities in the field. A individual must be differentiated in biometrics based on certain distinctive physical measurements. A broad variety of mechanisms necessitate productive person recognition strategies to either validate or assess the characteristics of a person discussing the services. The motive behind these proposals is to ensure that perhaps the administrators made are only accessed by a genuine user and no one else. It is possible to validate or create a person's personality using biometric information. The latest status of biometric data throughout the area of defense has indeed been highlighted in this article. In this article, the author has also drawn out theories more about simplicity of use of biometric authentication systems, the connection between different techniques, also the strengths and limitations.
Digital Reading Culture from the Perspective of Media Technology

Nowadays, digital reading is developing rapidly.From the traditional paper book to the first e-book, various forms of e-reading coexist.Thanks to the continuous upgrading of media technology, the reading culture also changes and develops constantly.It can be said that media technology determines the reading culture and even affects the general social culture.The arrival of the "big read era", the audience's reading habits from the "print" paper reading turned to the digital reading, The reading culture of the online reading community in the digital media era is constantly changing with the changes of the times, A digital culture that is gradually transforming into digital reading, and new media technology has bred a new reading culture.