Reviewerly/exHarmony huggingface dataset:
Implementation of Novel Methodology using Secured Accessibility of Data’s using Public and Private Key Verification Process with Steganography

Distributed computing has a significant job in the improvement of business frameworks. It empowers organizations like Microsoft, Amazon, IBM and Google to convey their administrations for a huge scope to its clients. A cloud specialist organization oversees distributed computing based administrations and applications. For any association a cloud specialist co-op (CSP) is an element which works inside it. So it experiences vulnerabilities related with association, including interior and outer assaults. So its test to association to verify a cloud specialist co-op while giving nature of administration. Property based encryption can be utilized to furnish information security with ciphertext strategy trait based encryption (CP-ABE). Be that as it may, ABE plans has absence of versatility and adaptability for giving Hierarchical CP-ABE plot is proposed here to give fine grained get to control. Information security is accomplished utilizing encryption, validation and approval components. Property key age is proposed for executing approval of clients. The proposed framework is proposes to consolidate cryptography with steganography in such a manner by installing crypto content into a picture to give expanded degree of information security and information proprietorship for imperfect interactive media applications. It makes it harder for a cryptanalyst to recover the plaintext of a mystery message from a stego-object if steganalysis were not utilized. This plan essentially improved the information security just as information protection.
Secure Remote User Authentication using Pass Script &amp; PassText

Authenticating users to secure systems is a crucial task for security experts to solve a password problem, where user should able to memorize a password or secret and password should be hard to guess and crack by adversaries. In general, Most of the secure systems were designed with text passwords along with additional factors such as tokens like smart card, mobile device. Text passwords are not resistant to dictionary, brute-force and guessing attacks. This paper proposes a novel graphical password method, which solves the password problem and secure against all password vulnerabilities. Theoretically, graphical passwords are easy to memorize and recall them easily for long term and resistant to dictionary and brute-force search attacks.
Niger

The COVID-19 pandemic is inflicting significant damage on Niger’s economy at a time when the government is already faced with the deteriorating security situation across the Sahel region. A first local infection was reported on March 19, 2020 and a state of emergency was declared on March 27, 2020. The authorities adopted a comprehensive response plan, comprising health care measures and steps to alleviate the social and economic fallout from the crisis. Growth is likely to drop to 1 percent this year as exports slow, large-scale foreign-financed projects face delays, financial conditions tighten, and domestic containment measures take their toll. Public finances are bound to be hit hard with the deficit widening to 5 percent of GDP and a financing gap of 3 percent of GDP emerging. It is mirrored in the balance of payment, which deteriorates primarily on account of lower investment by regional banks into government paper, reduced FDI, and a deterioration of the trade balance.
Supplemental Material: Geologic framework of Mount Diablo, California

Geologic Map of Mount Diablo&lt;br&gt;
Deadline Aware Prioritized Task Scheduling Algorithm in Cloud Computing

Cloud Computing is a computing Paradigm in which services are provided by service providers on pay-per-use. Task Scheduling is the challenging issue in cloud computing. Task scheduling refers to allocating tasks to available resources to achieve better performance of the system. Here we have proposed a Heuristics algorithm to schedule tasks in given resources which satisfies the QoS of system taking Priority and Deadline of tasks as parameters. Our algorithm is compared with existing algorithms like EDF and TLD algorithms. Our algorithm provides better makespan, increases throughput and utilize resources well compared to existing algorithms
Principles of using a computer game in teaching Business English to students of economic specialties at higher educational institutions of Ukraine

This article examines the possibility of designing a computer game for Business English language teaching. In particular, the didactic potential of a computer game is investigated, the factors influencing the effectiveness of educational content mastering are determined. In addition, the main principles that should be taken into account for designing a computer game for Business English teaching are formulated according to the recent studies in the field of foreign language teaching methods, psychology and pedagogy. The first principle is to build a computer game in such a way as to provide for learners the flow experience that will help them to concentrate on an activity and enjoy it. The second principle is to provide a maximum learning autonomy that will encourage the development of critical thinking, strategic planning, and cooperation with other students. In such a way the pedagogical paradigm “the skills of XXI century” can be realized. The third principle is to ensure a sufficient cognitive load in a game-based learning environment that means that the level of a learning activity challenge should match to the skills of learners to stimulate their motivation. If the cognitive load is insufficient, students can get bored and lose interest in achieving in-game results as well as educational goals. If the cognitive load is too heavy, students can lose their motivation and leave the game. The important factor is that a computer game should provoke positive emotions and learning experience. The fourth principle is to design a computer game based on the modern theories of active learning presented by constructivist theory of learning, experiential learning, situated learning, problem-based learning. And the fifth principle is to make an educational computer game an entertaining one. This will help to involve more students and to keep them motivated.
"Automatic Object Detection on Aerial Images Using Convolutional Neural Networks"

Large quantities of aerial and satellite images are being acquired on a daily basis. Many practical applications may benefit from the analysis of such huge amounts of data. We propose an automated content-based analysis of aerial photography in this letter, which may be used to identify and label arbitrary objects or areas in high-resolution pictures. We developed a convolutional neural network-based approach for automated object identification for this purpose. In the tasks of aerial picture classification and object identification, a new two-stage method for network training is developed and validated. First, we used the UC Merced data set of aerial pictures to evaluate the suggested training method, and we were able to obtain an accuracy of about 98.6%. Second, a technique for automatically detecting objects was developed and tested. For GPGPU implementation, a processing time of approximately 30 seconds was needed for one aerial picture of size 5000 x 5000 pixels.
A Logic For Decidable Reasoning About Actions

We consider a modified version of the situation calculus built using a two-variable fragment of the first-order logic extended with counting quantifiers. We mention several additional groups of axioms that can be introduced to capture taxonomic reasoning. We show that the regression operator in this framework can be defined similarly to regression in Reiter’s version of the situation calculus. Using this new regression operator, we show that the projection and executability problems (the important reasoning tasks in the situation calculus) are decidable in the modified version even if an initial knowledge base is incomplete. We also discuss the complexity of solving the projection problem in this modified language in general. Furthermore, we define description logic based sub-languages of our modified situation calculus. They are based on the description logics ALCO(U) (or ALCQO(U), respectively). We show that in these sub-languages solving the projection problem has better computational complexity than in the general modified situation calculus. We mention possible applications to formalization of Semantic Web services and some connections with reasoning about actions based on description logics.
Fragmented Location – Identity in Model Checking

Numerous data scholars would concur that, had it not been for the maker purchaser issue, the improvement of Internet QoS may never have happened. In this work, we negate the development of forward-blunder remedy, which encapsulates the ordinary standards of working frameworks. Procris, our new calculation for Smalltalk, is the answer for these difficulties
Block Chain Technology Progress and Challenges in Capital Markets

The blockchain is anunseen technology that is completelychanging the future of the world economy and achieving grip in the capital markets. Blockchain technology will have huge impact in business transaction and exchange of digital currency between financial institution. The technology is applied to a wide variety of financial fields, including business services, settlement of financial assets, prediction markets and economic businesses. While research has focused on identifying the reasons, Is in Capital Market the implementation of blockchain technology is how far it is acceptable and adapted for the present process with the capital market infrastructure.An effort is made in this paper to know the application and key challenges and implementation of blockchange technology in capital market.
A Performance Analysis of Detecting Credit Card Fraud by using CT18 Method

Credit cards are a significant component of everyday life. Whether purchasing gas and supermarket stores or reserving a hotel and lease a car for the next holiday. Credit cards are a pleasant and safe type of client payment. Advantages that differ from harm security on payments to the convenience of disputing suspect fees or suspicious activity make credit cards such an appealing form of transaction. It takes an hour for any time activities, online shopping, and paperless system. As the amount of credit card customers rises day by day, significant illegal activities eventually enhance. CT18 technique is the procedure for categorizing information directed at reformatting observations into CT18, whereby each observation belongs to the closest mean cluster. This is one of the simplest unsupervised learning algorithms that solve the well-known grouping problem
COMPARATIVE ANALYSIS OF THE AREAS OF FOCUS OF CORPORATE SOCIAL RESPONSIBILITY ACTIVITIES OF COMMERCIAL BANKS AND MANUFACTURING FIRMS IN NIGERIA

The study investigates comparatively the relationship between the areas of focus of Corporate Social Responsibility (CSR) initiatives of selected banks and manufacturing firms in Nigeria. This study took place in Lagos State, Nigeria. The research design used is the survey research design while the case study banks and manufacturing firms were selected through purposive sampling. Primary data were gathered through questionnaire from 216 and 205 respondents selected respectively from commercial banks and manufacturing firms from a total of 250 respondents selected from each sector. This gives 84.2% response rate. All the respondents selected from various companies were actively involved in CSR activities of their respective companies. Analysis of Variance (ANOVA) was used to examine the areas of focus of CSR activities of selected companies. The results of the study revealed a value of -0.73 for t-test and 0.58 for p value. This means that a significant difference cannot be found between the areas of focus of CSR activities of selected banks and manufacturing firms operating in Nigeria. The recommendation from this study is that corporate organisations should give adequate attention to their CSR activities to some strategic areas of focus like healthcare and wellness programme, education and skill development, socio-cultural and economic developments. These CSR activities eventually promote positive image of the organisations in the environment where they operate.
An Approach on Cyber Protection Changes by way of a cohesive Red and Blue Working Committee

Defensive system programs have progressed from interesting to necessary over the years and businesses across the globe are now realizing how important it is to continually invest in security.This move would make sure the business is successful in the markets.If the properties are not sufficiently protected, irreparable loss can arise and bankruptcy can result under some situations.Investing in defence alone is not enough, because of the emerging threat environment.Organisation's overall safety status must be strengthened.Investments in defending, sensing and reacting must also be matched.According to new risks and information protection issues, it is important to change the technique in order to prevent infringements.The conventional solution to avoiding infringement on its own does not promote continuing research, so in order to counter new risks, you will also improve your defence.The implementation of this pattern in the area of information protection was therefore a logical change.
Convolutional Neural Network Model for Predicting Skin Based Diseases and Evaluation of Risk Assessment

In today’s dynamic lifestyle, with people not prioritizing hygiene as an essential entity, they tend to get more easily prone to skin diseases. As a result, it has become highly significant to devise an automated mechanism which helps users to predict a disease using simple methodologies such as input in the form of images. In our case we have used Convolutional Neural Networks to diagnose the same. The disease prediction system uses simple methodologies including taking user input in the form of images, which aids in providing more accurate results. As the concept used is Convolutional Neural Network (CNN), the system not just analyses the input and predicts the disease based on it, but also guesses the nearest possible result based on its feature and adds that record to that class of disease for future predictions. Over a longer period of time, this majorly helps in preventing hazardous skin diseases from causing widespread damage, as spreading of skin diseases is highly rapid and difficult to control, the ultimate aim through this project is to overcome the above limitations and help create awareness amongst people on skin diseases, which happens to be a growing concern in the near future.
The “Interplanetary” Artistic and Artificial Languages in Literature and Art of the 1900–1920s (Konstantin Tsiolkovsky, Alexander Bogdanov, Alexey Tolstoy, Brothers Gordins)

In the history of culture, projects of artificial languages were mainly associated with the search for some universal and, if possible, ideal means of communication, as evidenced, in particular, by the projects of Rene Descartes, John Wilkins, Johann Martin Schleier, Ludwik Zamenhof, Edgar de Waal, Jacob Linzbach, and others. In the late nineteenth-early twentieth centuries, not only scientists but also science fiction writers, the first of whom was H.G. Wells, offered illustrations and sketches of fictional artificial languages. The esssay mainly examines cases of artificial languages employed for interplanetary communication that take place in Russian science fiction novels (“The Red Star” by Alexander Bogdanov and “Aelita” by Alexey Tolstoy). In addition, it covers experiments in the field of inventing an interplanetary language by Konstantin Tsiolkovsky in a number of popular science and fiction works, as well as by Wolf Gordin in his works on the pan-methodological language of AO. In line with the philosophical ideas of Roland Barthes about the discourse of power, as wellas considering two types of sociolects and, accordingly, two types of languages (encratic and acratic), artificial languages are classified as acratic, since they are usually created in order to confront the mechanisms of power as such. The projects of the artificial and artistic (fictional) languages of the early twentieth century not only an attempted to find a language of communication between the inhabitants of different planets; they also urged to invent a universal means of language communication that would bring together the people of the East and the West who were separated by revolutions and wars.
Application of IoT in Education

Global communication among individuals all over the globe has become a reality as the global Internet has evolved through time. With the growth of the Internet of Things, sentient, human-tomachine, and device conversations have all been transformed into interaction among everyone and everything that is related to people, individual, and device communications (IoT). As a result, the Internet of Things has being enabled to capture all aspects of human life, including safety and security, medical treatment, recycle, ecological monitoring, and so on. This article discusses the relevance of IoT technologies in the field of schooling in terms of boosting the effectiveness of teaching and learning. We look at it from several angles, such as computer science training, medical, distance learning, consumers environmental schooling, and so on. The Internet of Things (IoT) in schooling has radically changed educational institutions by allowing Web connections amongst real things, sensors, and controllers. By embedding detectors in products and merging cloud computing, virtual reality, wearables, and big information in this platform, many aspects of the learning atmosphere may be observed and analyzed to provide relevant information. It has also created a new link between people and the environment in educational institutions.
The Computer Simulator - a Modern Training Method of Objects of an Economic Profile

Interactive nature of business modeling gives ample opportunities to managers and government employees to purchase and develop their initial skills and organizing knowledge, such as creation of strategy, solving the tactical and operational targets.Simulators include learning to do everything that can only be studied in practice where mistakes really stand.The simulator will allow "to study at practice" for finding of optimal solutions and will show the direction as the decision shall be applied.We created the simulator for a financial analysis.At the simulator it is several benefits: The reliable zone -a mistake in won't lead to economy crash;  Increase in scale -an opportunity to take various positions in a management system;  Improvement of financial literacy -acquisition of new knowledge in an innovative format;  Team work -strengthening of communication and cooperation in team.Besides, use of the simulator became an objective necessity of our time as educational methods which generally depend on a lecture format, effective for development of the informative skills necessary in study of students.This method will be corresponding not only on practices, but also and for the main students and will increase practical results of educational activities and aspiration of increase in scientific research.The interactive nature of business simulation
SISTEM PENDUKUNG KEPUTUSAN PEMILHAN CALON PERANGKAT DESA TAPIAN NAULI KECAMATAN LINTONG NIHUTA DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW)

Village officials who carry out most of the tasks of village heads carried out by village officials are those who assist the Village Head in implementing good governance with village officials who are able to work closely with the village head to advance good human resources. Village officials are important in the village in serving the community. Currently, in Tapian Nauli village, the selection of candidates for the village apparatus is still manual so that services to the community will be hampered. Until now there has not been an effective selection of candidates for village officials for the selection of candidates for the village apparatus Tapian Nauli. Buts Nauli. This system was built using the Additive weighting method so that a simple program that can be done more effectively. Additive weighting simple method one of the methods used in the decision support system with the calculation process by finding the weight value or suitability assessment for each attribute.
Cloud database failure prediction using multi agent system

We have proposed a new method of fault tolerance mechanism in modern cloud database. Cloud database is important for big enterprises and have strict service level agreement (SLA) so any downtime is costly. All databases have their own fault tolerance mechanism by means of clustering technique, standby, backup recovery strategies with almost no data loss. The above methods are either costly or time consuming. If any measurement can be taken which can predict cloud database failure well ahead of it actually happens, suggest reason for the failure and also provide solution for the problem from knowledge database will not only reduce cost and time problem mentioned above but also will add a new dimension to fault tolerance technology. In this paper we have tried to develop an idea of failure prediction for a cloud database with the help of multi agent system and probable solution based on knowledge base search.
Technology Producers use of Language and Discourse to Shape and Reinstate Anti-Black Global Realities: An Analysis of Amazon’s Facial Recognition Technology Communications and Responses to Racial Bias in Rekognition

As of 2016, one in two American adults could be found in at least one American law enforcement face recognition network (Garvie, Bedoya &amp; Frankle, 2016). Racial bias in facial recognition technology is an important site of study as technology is largely conceived by public and state actors as neutral and democratic in nature, exempt from the biases and prejudices of human life (Noble, 2018). This study will trace the ways in which Amazon’s responses to claims of racial bias in Rekognition and FRT general descriptions allow race and existing relations of power to manifest and persist. This study employs a critical discourse analysis to argue that Amazon works to obscure racial bias in both development and application of FRTs in law enforcement. Amazon also enables what I refer to as discourses of racial neutrality which, allows Amazon to deem any racially biased FRT outcomes as a "glitch in the system" that has nothing to do with race, despite decades of evidence proving otherwise.
A Hybrid Scheme in Cloud Computing for Secure Sharing of Data in the Cloud

Cloud computing is rapidly getting to be a direct result of the provisioning of flexible, versatile, and on-ask for storing and figuring administrations for customers. In cloud-based capacity idea, information proprietor does not have full power over claim information since information is controlled by the outsider called cloud service providers (CSP). Information security is testing issue when information proprietor shares claim information to another entity known as information sharer on cloud. Numerous specialists have tended to this issue by using cryptography with various encryption plots, that give secure information sharing on cloud. Here, we propose framework for secure information sharing on cloud with intension to give information secrecy, get to control all of the offered information, expelling the weight of key administration and document encryption/unscrambling by clients, bolster progressively changes of client’s participation and also working on providing information to the client whenever he/she needs it without the proprietor being constantly online to provide the same