Reviewerly/exHarmony huggingface dataset:
E-learning on Cloud using Advanced Encryption Standard

ABSTRACT Various benefits of Information Technology have created different tools that help learning at any place and anytime. As the technology is changing, education system also needs to be changed for faster, comfortable and easy learning. E-learning plays an important role in establishing a good learning environment and also provides learners with different background, preferences, and locations to optimize the quality of learning through the delivery of learning material. Cloud providers have platforms for users to design, deploy and run applications located in the cloud. Using this facility, we propose an E-learning web-based system using cloud, which is specifically targeted towards engineering students and teachers, who can upload the studying material of respective course which can be of any form such as text files, videos, audios. The students can access it from any location. We also provide test assessments for students who want to get through the mock and final examinations of their curriculum. The planned e-learning system includes the fringe platform on a web server for teachers and students. The proposed system provides additional concern of security for teachers as well as students. When teacher uploads data on cloud Advanced Encryption Standard (AES) algorithm runs at the backend. Similarly, when student downloads course material, security check is done using Elliptical Curve Cryptography (ECC) algorithm. Keywords: e-learning, cloud, advanced encryption standard, elliptical curve cryptography, k-nearest neighbour Cite this Article: Vaibhavi Pawar, K.S. Thakre, Abhishek Pujari, Pranali Wagh, Yash Pawar. E-learning on Cloud using Advanced Encryption Standard. International Journal of Embedded Systems and Emerging Technologies. 2020; 6(1): 17–27p.
The Use of Augmented Virtuality As an Immersive Educational Technology in the Framework of Specialized Education of Schoolchildren

This article discusses the interim results of research under the RFBR project No. 19-29-14153 "Fundamentals of transformation of the content and methods of general education as a result of the use of the technology of augmented virtuality by students (on the example of teaching computer science)", which analyzed the technology of augmented reality in relation to other immersive technologies, real and virtual educational materials, as well as significant features of specialized school education. The article highlights various approaches to supplementing the virtual space with real objects, as well as the areas of their application in the framework of teaching schoolchildren at the profile level.
On the time–energy uncertainty relation of Kieu applied to quantum evolutions of Grover’s search

Recently, Kieu derived a new class of time–energy uncertainty relations, which is not only formal but also suitable for evaluating the speed limit of quantum dynamics. However, when this time–energy uncertainty relation was applied to study the quantum adiabatic Grover’s search, some approximation had been done for reaching the right conclusion. That is, the final state being orthogonal to the initial state in this problem was assumed which may cause confusion, while the truth is that the overlap between these two states is indeed very small when the problem size is very big but not equal to zero exactly. In this paper, we modify the time–energy uncertainty relation of Kieu applied to two quantum evolutions of Grover’s problem, and find that the resulting computational complexities match well with the previous works on this topic but without the need of making the assumption like that in the work of Kieu.
Shadow detection and correction using a combined 3D GIS and image processing approach

While shadow can give useful information about size and shape of objects, it can pose problems in feature detection and object detection, thereby, it represents one of the major perturbator phenomenons frequently occurring on images and unfortunately, it is inevitable. “Shadows may lead to the failure of image analysis processes and also cause a poor quality of information which in turn leads to problems in implementation of algorithms.” (Mahajan and Bajpayee, 2015). It also affects multiple image analysis applications, whereby shadow cast by buildings deteriorate the spectral values of the surfaces. Therefore, its presence causes a deterioration in the visual image's quality and limits the information that the former could give. Ignoring the existence of shadows in images may cause serious problems in various visual processing applications such as false objects detection. In this context, many researches have been conducted through years. However, it is still a challenge for analysts all over the world to find a fully automated and efficient method for shadow removal from images.
Drone Forensics: Investigative Guide for Law Enforcement Agencies

Nowadays, sophisticated criminals are using drones in different ways like spying, bombarding, shooting, etc. Law enforcement agencies have to deal with the biggest challenges to cope up and to investigate such incidents from the drones found from the crime scene. Drones used in crimes can provide valuable sources of information by analysing storage media and logs on drones, including flying routes and their take-off source and landing destinations as well as multimedia like images and videos taken by drones, whom have controlled and remotely operated it, the controller ID and metadata. In this research, we are going to discuss how such incidents can be investigated through forensics procedures. In which, the investigator can perform drone acquisition, evidence collection, forensic investigation, and reporting. This will cover the general legal procedure to collect and analyse any drones from the crime scene and investigate inside the lab.
COMPREHENSIVE STUDY OF CONSENSUS METHODS FOR BLOCKCHAIN

AbstractIn the achievement of blockchain as the basic innovation for cryptographic forms of money hasopened up conceivable outcomes for its use in other application spaces too. The fundamentalfavorable circumstances of blockchain for its latent capacity use in different areas are its naturalsecurity systems and invulnerability to various assaults. A blockchain depends on an accordtechnique for concurring on any new information. The key commitment of crafted by Blockchainis the accord calculation, which chooses how understanding is made to add another square betweenall hubs in the checking system. Blockchain calculations can be classified into two primarygatherings. The primary gathering is proof based accord, which requires the hubs joining thechecking system to show that they are more qualified than the others to do the attaching work. Thesubsequent gathering is casting a Vote based agreement, which requires hubs in the system to tradetheir aftereffects of confirming another square or exchange, before settling on an official choice.
STUDENTS’ PERCEPTION TOWARD PHONETIC NOTATION IN ENGLISH LANGUAGE LEARNING: A DESCRIPTIVE QUANTITATIVE RESEARCH OF SEVENTH AND FIFTH SEMESTER STUDENT AT ENGLISH DEPARTMENT STUDY OF IAIN CURUP ACADEMIC YEAR 2017/2018

The objective of this research was to know how the student perception toward phonetic notation in English Foreign Language Learning is. The population of this research encompassed all of fifth and seventh semester students of English Study Program in IAIN Curup. The total of the student was 91 students. From the population the researcher took all of the student as the sample of the research because they have learned pronounciation practice and phonology. Data were collected through questionare. The collected data were analiyzed by using tabulation and making percentage. The findings arrive at a conclusion that students perception toward advantages, familiarity and usefulness of phonetic notation were positive and student perception toward ease of phonetic notation were negative. The potential advantages that had been gotten by the student were awareness rising, autonomous learning and visual support. The resultsindicate the students aware if they get advantages from phonetic notation and familiar to phonetic notation but get difficulties in pronounce word by using phonetic notation.
Flow-Guided Attention Networks for Video-Based Person Re-Identification

Person Re-Identification (ReID) is an important problem in many videoanalytics and surveillance applications,where a person's identity must beassociated across a distributed network of cameras. Video-based person ReID hasrecently gained much interest because it can capture discriminantspatio-temporal information that is unavailable for image-based ReID. Despiterecent advances, deep learning models for video ReID often fail to leveragethis information to improve the robustness of feature representations. In thispaper, the motion pattern of a person is explored as an additional cue forReID. In particular, two different flow-guided attention networks are proposedfor fusion with any 2D-CNN backbone, allowing to encode temporal informationalong with spatial appearance information.Our first proposed network calledGated Attention relies on optical flow to generate gated attention withvideo-based feature that embed spatially. Hence the proposed framework allowsto activate a common set of salient features across multiple frames. Incontrast, our second network called Mutual Attention relies on the jointattention between image and optical flow features. This enables spatialattention between both sources of features, across motion and appearance cues.Both methods introduce a feature aggregation method that produce video featuresby identifying salient spatio-temporal information.Extensive experiments on twochallenging video datasets indicate that using the proposed flow-guidedspatio-temporal attention networks allows to improve recognition accuracyconsiderably, outperforming state-of-the-art methods for video-based personReID. Additionally, our Mutual Attention network is able to process longerframe sequences with a wider range of appearance variations for highly accuraterecognition.
Clustering Plum Blossoms

Author(s): Yip, Stephen | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
Теоретико-методологічні підходи до проблем лідерства в психологічній науці

The problem of leadership is recognized as one of the central for social psychology. After all, any social interaction, whether it takes place in the form of interpersonal dyadic relationships, or in the form of group interaction, involves its structuring in the leadership forms and the management process. In this regard, the fact of a diverse study of the leadership phenomenon becomes clear. The article outlines the key points of approaches to leadership issues. Generalized scientific experience of previous years, which is systematized in summary tables and diagrams. The theoretical analysis of scientific sources made it possible to state that the greatest leadership problems are actively studied by psychologists of most countries of the world since the end of the twentieth century and to this day. The study of socio psychological domestic and foreign literature on leadership problems has shown that there are at least five approaches to studying the essence of this phenomenon. An analysis of approaches has shown that scholars of various humanities have their own original view point in determining leadership problems. On the basis of their research can be identified a number of approaches and concepts to study the leadership phenomenon, which are based on sufficient factual material. The approaches presented describe leadership from different points of view, revealing the whole complexity of this phenomenon.
Geophysical Researches at Belousovsky Copper Mine of the Bronze Age (Southern Urals)

The paper presents the results of micromagnetic and GPR surveys at No. 1 ancient quarry of Belousovsky mine. As a result of geophysical studies, we identified the local positive magnetic anomalies along the sides of the No. 1 quarry of Belousovsky mine. These anomalies are associated with the soils excavated from the quarry. According to the GPR data, the bottom topography of the ancient quarry was determined during its operation in the Bronze Age, and a three-dimensional model of the mine was created. Based on the results of the study, it is possible to estimate the number of excavated soils and the amount of ore mined.
Constant overhead quantum fault-tolerance with quantum expander codes

We prove that quantum expander codes can be combined with quantum fault-tolerance techniques to achieve constant overhead: the ratio between the total number of physical qubits required for a quantum computation with faulty hardware and the number of logical qubits involved in the ideal computation is asymptotically constant, and can even be taken arbitrarily close to 1 in the limit of small physical error rate. This improves on the polylogarithmic overhead promised by the standard threshold theorem. To achieve this, we exploit a framework introduced by Gottesman together with a family of constant rate quantum codes, quantum expander codes. Our main technical contribution is to analyze an efficient decoding algorithm for these codes and prove that it remains robust in the presence of noisy syndrome measurements, a property which is crucial for fault-tolerant circuits. We also establish two additional features of the decoding algorithm that make it attractive for quantum computation: it can be parallelized to run in logarithmic depth, and is single-shot, meaning that it only requires a single round of noisy syndrome measurement.
Blockchain in IoT: a necessity framework for security, reliability, transparency, immutability and liability

Blockchain is a distributed operation and information supervision technology programmed initially for Bitcoin cryptocurrency. The awareness in Blockchain technology is rapidly growing since the notion was invented in year 2008. The motivationfor the concentration in Blockchain is its significant characteristics that deliver security, privacy and information reliability devoidof any additional system regulating the communications, and consequently it generates fascinating research domains,specifically from the viewpoint of methodological difficulties and restrictions. This paper discovers the wide-ranging Blockchaintechnology and studies it’s prospective with respect to ‘internet of things (IoT)’ controlled nodes. A resilient prototype methodhas been programmed that reveals a basic system exhausting Blockchain. The outcome illustrates that the established methodis functional in test-bed environment.
Penerapan Algoritma Rice Codes dan Algoritma Rivest Shamir Adleman (RSA) Untuk Kompresi dan Pengamanan Teks Pada Aplikasi Chatting

With the development of information in this day and age chat plays an important role in all aspects of human life. Where chat as a communication tool that can help communicate without any time restrictions and is free from obstacles. But in communicating through chat applications can not be free or as free in communicating as usual. Where chat has a predetermined number of bits, so that in sending text messages the chat application cannot be at once or in one delivery but in multiple transmissions. Therefore the chat application requires a compression where the text messages to be sent through the chat application do not take a long time and do not send several times. It is enough to send only one text message to those addressed. But sometimes text messaging is not only a problem in many or few text messages to be sent there are other obstacles in sending text messages that must be overcome. Text messages that have been sent to those intended, sometimes the text messages have changed not at its disposal or not the same as what was sent. Therefore the chat application is in need of security on the chat application which can secure text messages to be sent to the intended destination without changing one bit. Chat applications provide solutions to communication problems because they are hampered by distance and time. Chat application provides convenience in communicating chat to several people who have great distances by applying the Rice Codes and Rivest Shamir Adleman (RSA) algorithm to chat applications that are designed using Miscrosoft Visual Basic 2008 programming language as a means of compressing and securing text messages.
Vote Selling Resistant Voting

Creating a secure (purely) remote voting scheme which prevents active vote selling is an open problem. Observing that vote selling has a primarily economic motivation, we propose a novel approach to the problem which prevents a vote seller from profiting by allowing a different party to choose the seller’s vote. As a proof of concept, we propose a concrete protocol which involves carefully restricting the ways the voter can prove how they voted and then penalising them for revealing it. With the assumption that the vote seller and vote buyer are mutually distrustful, we show that our protocol admits no situation where the buyer and seller can achieve a mutually agreeable selling price. We include a sample instantiation of our protocol demonstrating that it can be practically implemented including the outlay of a smart contract in Solidity.
IMPROVING STUDENTS’ VOCABULARY MASTERY THROUGH MAKE A MATCH TECHNIQUE (A Classroom Action Research for the Eleventh Grade Students of SMKN 2 Salatiga in Academic Year 2019/2020)

ABSTRACTIstianah. 2020. Improving Students’ Vocabulary Mastery through Make a Match Technique (A Classroom Action Research for the Eleventh Grade Students of SMKN 2 Salatiga in Academic Year 2019/2020). A Graduating Paper, Teacher Training and Education Faculty, English Education Department State Institute for Islamic Studies Salatiga.Counselor: Mr. Faizal Risdianto, S.S. M.Hum.This research aims to improve students’ vocabulary mastery applied Make a Match Technique for the eleventh grade students of SMKN 2 Salatiga in academic year 2019/2020. The research design that is used in this research is classroom action research. The researcher conducted two cycles; each cycle consists of identifying the problem, planning, action, observation and reflection. The results of this research showed that the mean of cycle II was higher than the mean of cycle I. The cycle I showed that the score of pre-test 56 and the score of post-test is 67. Meanwhile, the cycle II showed that the score of pre-test is 70 and the score of post-test is 78. This indicates that by applying Make a Match technique, the students’ vocabulary mastery can be improved significantly. Keywords: Vocabulary, Make a Match Technique.
SUSPECT ACTIVITY RECOGNITION USING IMAGE PROCESSING AND MACHINE LEARNING ALGORITHMS

There are a set of ATM attacks like physical attack, ATM Fraud, Computer and network attack.Most of the methods as in using the classifier to classify occurrences and doesn't use the video input. These optimization algorithms involve learning time and close attention to the training collection of data. The proposed solution uses a lower resolution USB device, and a prototype webcam. The web camera broadcasts live video, and the images are Recorded for processing the image. Open CV is used and our device's open source image processing algorithms. Suspicious activity throughout the ATM and is identified for the proposed algorithm using the methods described out below. If any suspicious event is occurred then the alarm is heard and the message is sent to the nearest crime stations.
Government financial data analytics: An Indonesian perspective

This paper recommends two policies that are related to the implementation of government’s financial data analytics in the Ministry of Finance as the country’s financial authority in Indonesia, namely: (1) a comprehensive assessment of the need for data analytics implementation in all functions; (2) DGT as an institution that first implemented analytics data in its business processes should be a benchmark for other state’s financial management functions. In a broad sense, the government’s financial data analytics includes all data analytics activities related to the functions of the government’s financial management. Based on available data, the researchers observed from several existing functions of state financial management that there are functions that implement data analytics. In fact, to some degree, the initiative has also become an operational activity, although it is still at the descriptive analytics stage.
Bio-inspired parameter-less heuristic for NP-hard (complete) discrete problems

In this article, a bio-inspired parameter-less heuristic employs a path-relinking approach coupled with a local search instead of moving alternatives within the search space. In addition, a mean solution has assured the exploration and exploitation phases. The proposed bio-inspired parameter-less heuristic has been compared to ZODIAC, GRAFICS, WFA-water flow, EA-evolutionary algorithm, GRASP, GATSP, HGA-hybrid genetic algorithm, GA-genetic algorithm, HGDE-differential evolution algorithm, ACO-ant colony optimisation, HGGA-grouping genetic algorithm, SACF-simulated annealing algorithm, GAA-genetic algorithm, SCF-BMCF-hybrid heuristic algorithm, EnGGA-enhanced grouping genetic algorithm, SA - simulated annealing, SAYLL - simulated annealing with variable on set of benchmarks. The comparative study shows that the proposed heuristic performs well on 26 benchmarks.
Factors affecting implementation of blockchainin retail market in Malaysia

Certain types of blockchains were made anddeveloped for various purposes. Despite the development of cohort systems, the blockchain needs more development from the perspective of Malaysia. In addition, blockchain is the only cryptographic block currency that improves retail marketing. This study has critically analyzed the variables of the current research Framework of the blockchain implementation in retail market. Thus, this study aims to implement blockchain in retail market for increaseing customer benefits inorder to improve the retail industrial supply chain activities. In order to achieve the main aim, this study comprises of two main phases, which are theorietical study, developemnt of proposed blockchain factors and its implementation. The blockchain experience ofvariables, blockchain management, blockchaintransaction policy, blockchain adaption and implications were discussed gradually. Finally, we demonstrate the underlying theory, the theoretical framework and the hypotheses were discussed in detail.
APPLICATION RESEARCH ON THE CONSTRUCTION OF TEACHING INFORMATIONIZATION BASED ON CLOUD COMPUTING

As one of the most popular information technologies in the world today, cloud computing technology has brought tremendous changes to people's lifestyles, and accelerating the pace of education informatization is the pursuit of all countries. Based on the research method of theoretical analysis, this article puts forward some suggestions on the imbalance of educational resources between China and the east and west, and insufficient resources, which has enabled China to speed up the construction of educational informatization platform and lay a foundation for teachers to explore the informatization teaching model.