Reviewerly/exHarmony huggingface dataset:
Satellite Image Enhancement using Optimized Wavelet Decomposition and Bicubic Interpolation

Satellite Images (SI) play a vital role in various civilian and military applications for weather forecasting, monitoring of resources of the earth, environmental studies, observing natural disasters and natural calamities, etc. When these SI are used in military applications and almost all other applications for efficient study, the big challenge is its resolution. In wavelet transforms based satellite image enhancement techniques, choosing a proper wavelet transform plays a key role and vary with the image to image. To improve the resolution, a novel robust optimized wavelet decomposition and a bicubic interpolation-based satellite image enhancement method is proposed. In this method, the Stochastic Diffusion Search (SDS) algorithm is used to get the optimized wavelet decomposition of the image into different subbands and bicubic interpolation is used to improve the resolution. Image is decomposed using the optimized wavelet filter bank based on the SDS algorithm, decomposed sub-bands are interpolated with bicubic interpolation and inverse wavelet transform is applied to compose the interpolated sub-bands into a high-resolution image. The proposed method is tested on satellite images and other images also. Compared to the proposed method with the existing methods and proved that the proposed method is superior to existing methods and applicable to any type of image.
Mejora de la Competencia Digital del futuro profesorado de Educación Secundaria: Enseñanza y Aprendizaje con TIC

This paper presents the application of a Teaching Improvement Cycle in the subject "Teaching and learning with ICT", University Master's Degree in Teaching of Secondary and Secondary Education, Vocational Training and Language Teaching.In it, concepts related to the digital competence of the Secondary Education teacher are worked on: professional engagement and digital resources.The results show that Teaching Improvement Cycle, based on a researching learning model, increases the level of students´ digital competence.In addition, the high degree of involvement is evident.
Binary Image Analysis Technique for Preprocessing of Excessively dilated characters in Aged Kannada Document Images

In this paper, variety of document image enhancement techniques are applied for removal of background noise in the degraded document images. The noise removal techniques are applied on different forms of noise including non-uniform illuminations, complex stain marks, user annotations, show through effect and foxing effect. In this work, Binary Image Analysis (BIA) Technique is proposed for removal of aging degradation in ancient document images of Kannada literature. The method involves multiple phases comprising of contrast enhancement, Gaussian smoothing, binarization, morphological processing, object detection using connected component analysis and filtering followed by marginal noise removal of non-textual regions. The document samples employed for experimentation comprised of more than 175 aged and highly degraded scanned documents of old Kannada literature and poetry that are massively affected by noise and 25 images from DIBCO datasets collected across 2009 to 2017. The results of the experimentation are quite satisfactory and suitable enough for processing of document images in the subsequent stages of OCR..The experimentations are compared with some widely used approaches like Sauvola, Otsu, Gaussian. It is noticed that the proposed method outperforms other noise removal methods in terms of character retentions for extensively degraded and aged document images.
NICHE EVALUATION AND EVOLUTION PATH SELECTION OF FORESTRY ENTERPRISES IN NORTHEAST STATE-OWNED FOREST REGION

&lt;p&gt;On the Basis of Relevant Theory and Literature Research, analyze the development of forestry enterprises in northeast China, and establish the evaluation index system of the ecological situation of forestry enterprises in northeast China. Based on the composite weights of objective and subjective empowerment, the ecological niche and potential of forestry enterprises in Northeast state-owned forest areas were evaluated, and establishes the evaluation index system of the ecological situation of forestry enterprise in northeast China. Based on this, the ecological position and potential of forestry enterprises in the northeast of the northeast are evaluated, and the model of the evolution path selection matrix of the northeast state-owned forest is constructed. Finally, based on the development of ecological path dependence and path breakthrough, passive adaptation and initiative adaptation, the functional ecological selection of forestry enterprises in the northeast state-owned forest sector is combined with the ecological potential of the forestry enterprise, which is the economic benefit priority, ecological benefit and the three main benefits. Based on the basis of the contribution of three different forestry enterprises and the potential value of different forestry enterprises, the corresponding alternative evolution path of the functional ecological evolution of forestry enterprises in the northeast state-owned forest sector is proposed.&lt;/p&gt;&#x0D;
Some results of development of cryptographic transformations schemes using non-abelian groups

Implementation of a successful attack on classical public key cryptosystems becomes more and more real with the advent of practical results in the implementation of Shor's and Grover's algorithms on quantum computers. Modern results in tackling the problem of building a quantum computer of sufficiently power justify the need to revise the existing approaches and determine the most effective in terms of solving problems of post-quantum cryptography. One of these promising research priorities is the study of the cryptosystems based on non-abelian groups.&#x0D; The problems of conjugacy search, membership search, and others are difficult to solve in the theory of non-abelian groups and are the basis for building provably secure public key cryptosystems. This paper gives an overview of the most frequently discussed algorithms using non-abelian groups: matrix groups braid groups, semi direct products, and algebraic erasers (AE). The analysis of the construction of encryption and decryption schemes, key establishment mechanisms is given. Many non-abelian group-based key establishment protocols are associated with the Diffie – Hellman (DH) protocol. The paper analyzes the properties of non-abelian group public key encryption schemes. Various cryptographic primitives using non-commutative groups as a basis for post-quantum schemes are considered.
SMART HOME MANAGEMENT SYSTEM

The purpose of this work is to review the algorithms of the relationship between the terminal and the modules for the implementation of the system “Smart Home” on the Android operating system. And the development of its own system “Smart Home”. The system consists of a tablet with the Android operating system, which has its own developed program – the terminal, and various modules and sensors based on the microcontroller ESP8266-01. The main object in the development was to write universal, open and well-thought-out code, which allows you to implement any universal platform for a smart home, and at the same time wrote the minimum code for your modules. The use of a modular system in the terminal greatly simplifies the interaction with the system and significantly increases the speed of performing certain functions and adding functionality for a new module. This means that in the future it will be quite easy to add any new independent module. All elements of this system are controlled, both from the head device – the terminal, and the client (any smartphone where the special software will be installed). The use of more universal objects for embedded modules, the use of one main window for most of the implemented functionality, new functions for forming commands, the use of new libraries for any functionality in this project, such as sending broadcast messages, searching for devices on the network, internal methods for microcontroller management ware considered. The results of this work can be used for deployment systems with control of climatic parameters and energy consumption, in ordinary house, and in specialized rooms with more rigid requirements for the microclimate of the environment. In the future, it is planned to add a power consumption sensor to the system and improve sharing.
4-Point Minimal Pick &amp; Place Trajectory Design in Robotics

Motion planning in robotics plays a very important role in the movement of objects from the source to the destination. Robots are classified according to motion control as PNP, PTP and CP robots. Hence, there are 3 basic types of trajectory motions + 1 trajectory which is the shortest path between two points in the 3D space. This type of motion or trajectory is exhibited by PNP robots. In this paper, we develop the theoretical background along with the mathematical formulation relating to the design &amp; development of a 4-point minimal pick &amp; place trajectory from the source to the destination during the transportation of an object in the 3 dimensional Euclidean space R3.
Recurrent Neural Network based Models for Word Prediction

Globally, people are spending a cumulative amount of time on their mobile device, laptop, tab, desktop, etc,. for messaging, sending emails, banking, interaction through social media, and all other activities. It is necessary to cut down the time spend on typing through these devices. It can be achieved when the device can provide the user more options for what the next word might be for the current typed word. It also increases the speed of typing. In this paper, we suggest and presented a comparative study on various models like Recurrent Neural Network, Stacked Recurrent Neural Network, Long Short Term Memory network (LSTM) and Bi-directional LSTM that gives solution for the above said problem. Our primary goal is to suggest the best model among the four models to predict the next word for the given current word in English Language. Our survey says that for predicting next word RNN provide accuracy 60% and loss 40%, Stacked RNN provide accuracy 62% and loss 38%, LSTM provide accuracy 64% and loss 36% and Bidirectional LSTM provide accuracy 72% and loss 28%.
Design of Highly Secured Biometric Voting System

Voting is the most basic right of every citizen and is one of the most important responsibilities of every citizen. The votes which we cast decide the future of our country, and we must vote honestly and not succumb to any sort of pressure as the phrase goes "With great power comes great responsibility". Now once our votes are cast, we should ensure they are not manipulated in any way. The current voting system (EVM) is easy to manipulate i.e., there is a lot of human intervention which in turn could compromise the results of the elections, hence in this project we will try to solve this vulnerability by introducing a two-step verification which will help avoid the middle man attack i.e. only when the voter is physically present the fingerprint of the voter can be registered and only then the OTP will be sent to user’s mobile number this in turn prevents fake voters.
A Research on Passive Forgery Detection

—The dependability of computerized pictures is a critical worry since pictures can be made effectively because of the intemperate timetable of advanced picture falsification gadgets. In this way computerized picture validation is important just as it is the contemporary research ponder territory which plans to affirm the believability of advanced pictures. In this paper “A Comprehensive Study on Passive Forgery Detection”, it is focused on: i. The investigation endeavours to give a recap of innumerable computerized picture impersonations just as detached systems to affirm advanced pictures. ii. The examination attempts to cover the visually impaired techniques that have really been suggested for oppressing fake. The activity stress the location strategies for three of a standout amongst the most normal fabrication sorts, explicitly duplicate/move, grafting and furthermore modifying..
Detection of Dyslexia using Eye Tracking Measures

Dyslexia is one of the most common and hidden learning disabilities found in people, especially in the young age.It particularly affects reading, where the impaired reader takes a longer time to read and grasp the concept than the non-impaired reader.This further leads to academic failures.So studies to detect such issues have been conducted considering various factors like the reading times, fixation times, number of saccades(sudden movements in the eye), of both the impaired and non-impaired subjects,and give the best possible results.Thus,we plan to use the same eye tracking technique supported with machine learning models to detect and classify the individuals with and without dyslexia.The factors considered during the study are font-size, typeface, frequency of words(fixation times of non-impaired readers are more if frequency of encountered words is less) and age(people with learning disorders tend to enhance their reading skills with age), etc.
The Role of Electronic Voting Machine (EVM) In Strengthening Democracy in India

Democracy and Elections are inseparable and related to each other. Elections are the central institution of democratic governments through which people choose their representatives to represent them in the decision and policy formation process of the government. The democratic government derives its all powers from the consent of the governed. Through holding free and fair elections people’s consent has been translated into governmental authority in a democratic country. Democratic elections are periodic. As India is a democratic country, hence elections are held regularly to the parliament, state legislatures and to the institutions of urban and rural local bodies after every five years. Electronic Voting Machine (EVM) is one of the remarkable contributions of science and technology in our times which has been helping the countries, mostly democratic countries, in conducting elections in free and fair means. EVM has been used in India since long back. Use of EVM has made the electoral process in India simple, easier and free from electoral frauds and riggings. But questions have raised many a times on the tampering and acceptability of EVM. In our paper we will try to examine the usefulness of EVM in conducting free and fair elections in a big democracy like India and also the merits of this machine which has been helping strengthening Indian democracy in various ways.
Online Education in Russia as a Form of On-The-Spot Learning

A new organizational form of educational practices - online learning has been examined in the article. The positive and negative aspects of this educational practice have been determined. It has been stated that in the context of further technologicalization and digitalization, online learning can become the main form of organizing educational practices.
Engineering Cloud Based Platform to Enhance Radiation Oncology Services

Current demands of the healthcare industry require the use of information systems (IS) and information technologies (IT) to deliver care that is safe, patient centered, timely, efficient, and equitable. Successful development, implementation, and use of IT applications requires proper consideration of the hierarchy as well as synergy of each industry. In this work, a reliable secure and administrative cloud platform OncologyQuest has been developed to enhance the clinical service in radiation oncology. A case study used was automation of information data entry, reviewing, auditing and clinical approval cycles in radiation oncology intraoperative procedure of Prostate radioactive permanent seeds implant. Secure login and proper authorization using administration function for authenticating end users and granting them access to authorized services on the platform. Automation of data entry, reviewing, auditing and clinical approval cycles in radiation oncology intraoperative procedure has been achieved. That automation provides proper clinical approvals control to clinical multidisciplinary practitioners. OncologyQuest eased the dissemination of information during the procedure, enhanced information integration between oncology practitioners. Reliability and effectiveness of chartless documentation, successfully allowed appropriate communication regardless of geographic vicinity before, during and after the procedure.
Development of project competence of future bachelors in engineering areas of training based on the integration of educational and extracurricular activities

А. А. Пикалова, В. А
Is it worth investing in cryptocurrency?

Bitcoin price was exceed 60 thousand USD per one Bitcoin in March 2021. This fact manifested a general trend of rising cryptocurrency values during COVID-19 pandemic. Hence the related question, is it worth investing in cryptocurrency? The answer to this question depends on many factors, one of the decisive ones is the high volatility of cryptocurrency. Current work considers volatility and profitability of cryptocurrency, and discusses how to determine volatility and profitability of cryptocurrencies and its importance in investing. In addition, the profitability/losses of cryptocurrency transactions are analysed. If cryptocurrency will be stable in the future, then it is easily accepted through worldwide and in the long run, people would have more trust to the cryptocurrency and its usability.
The impacts of Internet of Things (IOT) in Supply Chain Management

The Internet of Things, a technologist who, in the future, will leave the human society, industry, services, and in general, the livelihood of human beings undergoing fundamental changes. One of these changes, which will have a significant impact on other parts, is supply chain management. With regard to what will discuss in this paper, the Internet of Things will increase productivity and efficiency by increasing speed and precision in decision making, reducing risk and increasing productivity and efficiency. In the future, due to the increase in the speed of life and the breadth of the Internet, the supply chain is also required to use the Internet of Things to meet the needs of the community. However, thanks to all the benefits that IOT has given us, we cannot ignore the challenges of implementing this technology. The most important of these challenges is information security. Given that the Internet of Things acts by collecting data from the environment (this information may include personal information of individuals). With these interpretations, the security of this volume of information in a way that does not reduce speed and efficiency is a serious and critical issue.
Lightweight Security Protocol for Efficient Information Transfer in Sensor Networks

Wireless Sensor Networks have become major integral components of various other technologies like- IoT, Big Data, Cloud Computing and many. This impact is also making WSNs to grow more rapidly and its global market size is predicted to grow $944.92 million by 2020, at a CAGR of 12.96%. In-spite of this impact some challenges and application requirements in WSNs is there limiting its performance. In this article a detailed analysis and research has been carried out to address and resolve some of the major issues in the WSNs. This paper mainly aims in identifying and analyzing the major challenges and requirements along with some existing works in WSNs. Based on the identified problems this article presents the solution to increase the performance of WSNs. The main focus is given to energy and security aspects in the WSNs. The proposed protocol provides more strengthening security parameters with a focus on increasing the lifetime of the network in the resource constraint devices. The outcome of this paper is resulted in better results than the existing security and energy mechanism in the field of the wireless sensor networks.
Implementation Of Infrastructure Management Function In Teaching And Learning Art Of Non-Formal Schools

School management is the activity of maintaining the potential that exists within the scope and sequence of the school held in a systematic way to achieve an educational goal.School management has an important role in educational institutions, both formal and non-formal towards the quality of learning, especially for art teaching and learning.Infrastructure management is one of the important aspects in the success of art learning.The purpose of this study was to determine the implementation of the infrastructure management function in the implementation of art learning in Eko Nugroho Art Class Yogyakarta.The focus of this research is to identify the implementation of the infrastructure management function in the study of art based on several parameters: planning, procurement, inventory, storage, maintenance, and elimination of school infrastructure.This research method uses a descriptive qualitative approach with data collecting sources of informants, events or activities, documents, and archives of Eko Nugroho Art Class Yogyakarta.The results of this study are the implementation of the management function of the art learning facilities and infrastructure as described.The implementation of school facilities and infrastructure management has been conducted in a very good and structured way.
Reduction of Frequent Itemsets Mining in Big Data with the Help of FP Algorithm and Msegt-Tree

Frequent itemset mining is very crucial to minimize the cost and time of executions but when considering multiple distributed data streams in big data the frequent itemset mining has been a little cost consuming and taking more space and time complexity. In this paper we reduce the load and minimize the cost while minimizing the space and time complexities of the process by using reduction mechanism and indexing structures for preserving complexities. A 2-level architecture modal which will be helpful in handling the distributed data streams where the root node will be in level-0 and local nodes at level-1 is proposed. Each local node will evaluate the patterns in their specific data stream using the algorithm ‘FP’ which will help in lessening the burden on the root node and will be sent to root. With help of the patterns received from local nodes the root will generate a global pattern set.
VIRTUAL REALITY SYSTEM FOR JOB INTERVIEW APPLICATION: A DEVELOPMENT RESEARCH

Technology has become more sophisticated and widely used in pedagogical process. One of sophisticated technologies that is recently known and became attractive towards the public attention is Virtual Reality. This system applied simulated object and artificial environment like the real-world version. A need analysis conducted by Jailani (2017)on the use of VR for Business English students indicated that the students were interested and enthusiastic to learn job interview.The objective in the current research is to develop Virtual Reality System for Job Interview in Business English class at University of Muhammadiyah Malang. In doing so, the present research applied seven procedures in Research and Development design which aimed to develop some features and contents that are applied on Job Interview application. The subjects of this research are students from Business English (BE) class, English Language Education Department of UMM academic year 2016/2017. Observation, questionnaire, and documentation were employed to collect the data. The data were then transcribed and analyzed to reach the research purpose.The result revealed that the application is in very valid category that reached 93.33% for product and design validation; while 93.75% for content validation. Moreover, additional features were developed on stuffs, scoring system, and button to make the users more interested in using VR. In addition, it was found that the students of Business English as users were motivated and attracted in conducting job interview simulation through Virtual Reality