Reviewerly/exHarmony huggingface dataset:
Cloud Computing Education Strategies

As due to the predominant money related emergency and the developing needs, Higher Education Institutes establishments are confronting challenges in giving essential information technology backing to instructive, innovative work exercises. The higher education establishment must adventure the open doors managed by cloud computing while minimizing the related security dangers to permit access to cutting edge information technology base, server farms, and applications and ensure touchy data. In this paper, cloud computing building design for higher education organization containing the different sending models, service models and client area is proposed. We at last give the suggestions to a fruitful and effective relocation from customary to cloud based framework. This research also to discover different options for the utilization of IT, while driving colleges to enhance dexterity and get investment funds. The examination system comprised in a thorough investigation of the most recent exploration on cloud computing as a different option for IT procurement, administration and security.
Green Specifications

Green specifications provide a foundation for reducing the environmental impact of computing applications and improving the consumption behavior of users by providing a clear and precise specification of the environmental impact of specific services. They can either be used to specify the actual behavior and environmental impact of existing services or to define the requirements that a to-be-built service must fulfill. Green specifications describe the properties of a service from distinct viewpoints such as a structural viewpoint which describes the data types and external components that the service uses, a functional viewpoint which describes the effects of the service's operations using pre- and post- conditions and a behavioral viewpoint which describes the externally visible states and transitions exhibited by the service. These are augmented with non-functional information describing the environmental properties of, or constraints on, the service. In this chapter we provide an introduction to green specifications and give a concrete example of their use to specify a Video on Demand (VoD) service.
Encryption and Decryption Scheme for IoT Communications Using Multilevel Encryption

In this modern era of technology, it’s very crucial to securely transmit the data from sender to receiver side which definitely requires encryption on sender side and decryption on receiver side. In order to defend the attack by intruders, a large number of different algorithms have been proposed providing data security. Symmetric key encryption is not given that much importance when it comes to cryptography. Algorithms such as Caesar Cipher, Substitution have been used from a long time. Considering the risks and vulnerability concerned with these techniques. In this research word, a novel technique has been developed on the basis of symmetric encryption technique which encrypts the plain text in as easy way as Caesar Cipher at the same time decreasing probability to guess the key using multiple level of security. This paper gives an insight of algorithm which uses ASCII, XOR operation offering a multiple character keyset which enhances the number of possible keys and making it difficult to guess the same.
The Psychology of Cybercrime

Criminological and forensic psychology has had a long history of offering us unique insights into criminal behavior in the offline world. Yet the advent of the Internet has meant that we have had to think about the psychology of criminal behavior from a different perspective. The Internet brings with it new crimes, new ways to commit old crimes, and has the potential to make a criminal of the unsuspecting and naïve Internet user. This chapter introduces the reader to the area of cyberpsychology and provides an overview of current psychological understandings of online crime. We start by considering cybercrime typologies, outlining the categories of cybertrespass, cyberdeception and theft, cyber-pornography and obscenity, and cyber-violence that have informed psychological theorizing in this area, as well as highlighting some of the problems inherent within these categorization systems. We then focus on the psychology of using the Internet as a tool for new and old crimes, where a perpetrator may use the Internet as a “weapon” that has the potential to cause harm or damage. Here, we focus on the old crime of domestic abuse that is committed through the new technology of the Internet and the associated new crime of revenge pornography that relies on the Internet and linked technologies to cause damage to its victims. We finish by considering some of the difficulties of researching online crime from a psychological perspective and propose a need for psychological theorizing to move away from categorizing large sways of mildly related crimes under umbrella labels.
Empirical Study Outcome of Augmented Reality Technology for Solving Engineering Problems in UNITEN

In this chapter, the preferences of UNITEN students in using augmented reality technology user interface applications to solve selected engineering problems are compared. Cross sectional study design and Wilcoxon-Signed Rank Test approach were adopted to analyze the difference in the rankings of the engineering applications. Within a controlled environment, this research further applies “trials within the same session but with breaks between tasks,” an affirmed reliable method in measuring learnability that has been rarely explored by any related works locally. The results were captured through descriptive statistical analysis. The findings provided reliable evidences that multiple function user interface (MFIT) is more effective than the tangible user interface (TUI) for engineering students. Simultaneously, this research also presents evidences that MFIT is better than TUI in the engineering problem solving statistically.
An Enhanced Algorithm for Image Processing Based Catheter Selection During Right Coronary Angiography

Background: Image processing based catheter selection is a newly developed procedure in which a catheter is selected based on patient's image data, acquired prior to the intervention.In this technique, the arteries are extracted from the data followed by the computation of geometric parameters for all available catheters.Objectives: To propose an improved algorithm for estimating geometric parameters such as coronary artery curve angle and length of the coronary artery curve.Material& Methods: We propose a new framework to compute the geometric parameters from the patient magnetic resonance / computed tomography images.In order to meet the clinical time constraint, we calculate CACA and CACL in 3D MR cardiac images of the patients. Results:The method has been tested on seven MR cardiac images provided by Unieklinikum Wrzburg.The results show more accuracy and less computation time as compared to the already developed method. Conclusion:The proposed algorithm uses an enhanced method for extracting 3D curve to calculate the angle and there by greatly reduces the computation time and improves the accuracy.
Can Interlending and Document Supply Be Undervalued

The multifarious task of information services, which academic libraries are saddled with, continues to require the support of interlending and document supply from other libraries, in order to meet users' increasing information needs. The rationale that spurs this drive was the shifting nature of operations from traditional to virtual/technological platforms. This article employed the qualitative research approach grounded on documents/textual content analysis of literature extracted from databases of Scopus, Science Direct, and LISTA. Findings revealed that academic libraries should utilize interlending and document supply to fulfill growing and diverse demands for information. The ability to fulfill information needs requires diverse knowledge and the skills of librarians, information resources, and infrastructure to strengthen interlending and document supply. The study recommends the adaptation of grey literature as part of the collection development, cooperation with library associations and securing funding for academic libraries in Nigeria as the way forward.
DePL: Detecting Privacy Leakage in DNS-over-HTTPS Traffic

DNS attack is one of the main threats to the Internet. Aiming at detecting the privacy leakage of DoH (DNS-over-HTTPS), in this paper, we proposed a model called DePL based on n-shot learning. This model can analyze which websites the user visits by classifying DoH traffic, and then we evaluate the impact of DoH protocol on user privacy leakage risk. In our experiments, we only used 15 training samples to obtain an accuracy of 86.54% in a closed environment. In an open environment, when the threshold is set to 0.7, the model still has an accuracy of 78.86%. Compared with the existing algorithms, DePL solves the problem of insufficient samples in real applications. A small number of training samples can obtain high-accuracy recognition, which proves the possibility of the detection of privacy leakage in DoH traffic.
The Relevance of the Prospective Development of Integration Processes in Higher Education

The article is devoted to the issues of updating the integration processes in the field of higher university education in order to increase its potential in modern social conditions. The author's position on the need to study the issues of the implementation of the integration process in various options and vectors of orientation has been substantiated. The analysis of the existing practice of integration as the basis for building the future system of higher education, taking into account the forecasts of the development of the country and society. The possibilities of the university in solving priority educational tasks by means of unification and interaction are revealed educational institutions of different levels and status, on an international, regional and interuniversity network scale. The prospects for cooperation of educational and socially oriented communities and subjects with each other and with society in order to provide mutual support and achieve common targets
Method and Research of E-commerce Consumers' Purchasing Behavior Forecast and Analysis Based on Machine Learning

research-article Method and Research of E-commerce Consumers' Purchasing Behavior Forecast and Analysis Based on Machine Learning Share on Author: Shuxiang Yao Xiamen Institute of Software Technology, China Xiamen Institute of Software Technology, ChinaSearch about this author Authors Info & Claims AIAM2021: 2021 3rd International Conference on Artificial Intelligence and Advanced ManufactureOctober 2021 Pages 538–542https://doi.org/10.1145/3495018.3495114Online:14 March 2022Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Turning Weakness into Strength

In today's culture organizations have come to expect that information security incidents and breaches are no longer a matter of if but when. This shifting paradigm has brought increased attention, not to the defenses in place to prevent an incident but, to how companies manage the aftermath. Using a phenomenological model, organizations can reconstruct events focused on the human aspects of security with forensic technology providing supporting information. This can be achieved by conducting an after action review for incidents using a phenomenological model. Through this approach the researcher can discover the common incident management cycle attributes and how these attributes have been applied in the organization. An interview guide and six steps are presented to accomplish this type of review. By understanding what happened, how it happened, and why it happened during incident response, organizations can turn their moment of weakness into a pillar of strength.
The Effect of Explicit Knowledge Sharing on Human Resource Performance Efficiency: Moderating Role of Human Capacity Development

There are numerous causes responsible for attaining performance efficiency of human resource within the organizations. In this pursuit, the current research has been aimed to further evaluate the relationship exists between Explicit Knowledge Sharing (EKS) within organizations and performance efficiency of the human resources. A quantitative study for the said purpose has been undertaken to ascertain the impact of EKS on performance of human resources while considering the moderating effect of Human Capacity Development (HCD). Quantitative study approach was adopted, and a structured questionnaire was developed based on the relevant studies already conducted in this field. The questionnaires were distributed among 500 respondents, out of which 345 responded, which provided the researcher with 69% response rate. Population of the study comprises wide range of organizations such as Government, Non-Government, International &amp; Private Sector, which were consulted for the primary data collection across the province of Khyber Pakhtunkhwa &amp; Capital Territory of Islamabad by adopting Simple Random Sampling technique. Analysis were drawn through the application of statistical software tools i.e. Amos for factor analysis &amp; SPSS for statistical analysis.The analysis of the data revealed that organizations with EKS practices, subsequently accomplishes efficiency in the performance of their human resources through a positive moderating effect of Human Capacity Development. The usefulness of findings has been endorsed through numerous studies by the local and international scholars of the area. Keywords: Explicit Knowledge Sharing, Human Resource Performance Efficiency, Knowledge Management, Knowledge Sharing
Research of Fake News Spreading Through Whatsapp

Whatsapp, a social media app that allows instant, cross- platform messaging facility for the users to send or receive text messages, voice calls, video calls, images, documents and user location in just a single click from any location of the country. It makes the system of communication highly secure by providing the feature of end-to-end encryption. However, there are many cases observed where fake news or inaccurate information spread/ escalate like a world fire on Whatsapp. Concerning the problem (situation), we have tried to estimate the spread of Fake news on Whatsapp based on the Analytic Modeling, considering the number of feasible authors those are relevant for spreading of fake news (S), the wide variety of coetaneous authors who are highly active for posting the fake information (I), the range of authors who got the right information (R) through TV channels, newspaper etc who are inactive to spread the fake information. The conclusion came to be as unsteady because of the results that showed the trend of speeding fake news will be more in next upcoming years due to lack of awareness among the users.
Lifecycles

This chapter discusses lifecycle model application for software development. It compares the benefits and shortcomings of different models. The authors argue that there is no universal lifecycle model. For agility, this chapter recommends combining prototyping with the other models. The authors suggest this to achieve a common understanding of the key product features and to reduce project risks. The lifecycle model choice determines project economics and time to market. The model also influences product quality and overall project success. However, product success essentially depends on human factors. The authors analyze the applicability of the lifecycle models to large-scale, mission-critical software systems. Finally, this chapter introduces a methodology. It includes a spiral-like lifecycle and a set of formal models and visual tools for software product development. This methodology helps to optimize the software product lifecycle. It fits large-scale, complex heterogeneous software products.
Beyond the Hype: A Practical Approach to CryptoReg

Most regulatory action related to cryptocurrencies is primarily aimed at preventing scams, illicit uses, and market manipulation. Although the technology that underlies cryptocurrencies is groundbreaking, these regulatory concerns are not. Nonetheless, regulators have struggled to fit cryptocurrencies into their preexisting legal frameworks. For a time, it seemed that cryptocurrencies would be classified by the Commodity Futures Trading Commission (CFTC) as a commodity, by the Financial Crimes Enforcement Network (FinCEN) as a form of money, and by the Internal Revenue Services (IRS) as property. Meanwhile, the Securities and Exchange Commission (SEC) had determined that the two most well-known cryptocurrencies, Bitcoin and Ether, were not securities. In December of 2020, however, the SEC filed an enforcement action against Ripple Labs for issuing XRP, a cryptocurrency that the SEC deemed a security. Although the future of the Ripple lawsuit is uncertain, the SEC’s unexpected action reveals the need for regulatory clarity for cryptocurrency markets. The time has come to develop a regulatory plan for cryptocurrencies that will not only provide clarity and address legitimate concerns but also allow for the continued development of cryptocurrencies. This Article proposes to minimize the SEC’s oversight of cryptocurrencies and suggests statutory amendments that would 1) strengthen the authority of the CFTC and FinCEN to effectively oversee cryptocurrency markets and 2) modernize tax policy to enable the development of cryptocurrencies as a viable payment method.
Solar Radiation Forecasting in Saudi Arabia Using Machine Learning

Solar energy is a promising renewable energy source due to its availability and environmental friendliness. The capability to maximize the utilization and efficiency of solar energy remains a difficult task because of the challenges in collecting and analyzing solar radiation data. Therefore, there is a great need to forecast solar radiation to predict the output power. This paper aims to use machine learning methods to forecast solar radiation in Saudi Arabia in Riyadh city. The study compares the forecasted solar radiation using different machine learning models such as Artificial Neural Networks (ANN), Random Forest, and linear regression. The weather dataset was obtained from KACARE. The proposed models were evaluated using root mean square error and direction accuracy. The Random forest has the highest accuracy and the lowest RMSE with an accuracy of 92.8571, and RMSE of 10.3157 compared to ANN (91.3043, 18.4656), linear regression (78.5714, 30.4098).
Automatic Translation of Arabic Classic Poetry; Case-Study of Google Translate

In this study the author followed the evidence-based approach to analyze the translation of google as machine translation (MT).The study sample includes quotes from Arabic poetry among classic poems.
Introduction

In this chapter we explain the basic components of the quantum paradigm so that one can start writing programs on a suitable platform. We describe several basic features of quantum bits (qubits) and related operations such as quantum gates, and explain how they operate. We also try to explain how working on a quantum platform provides additional advantages over the classical ones. In this regard, teleportation, super-dense coding and CHSH game are discussed. We support the discussion with codes written in Qiskit SDK
Operating Virtual Keyboard and Mouse Using Hand Gestures

This project promotes an approach for the Human Computer Interaction (HCI) where cursor movement can be controlled using a real-time camera, it is an alternative to the current methods including manual input of buttons or changing the positions of a physical computer mouse. Instead, it utilizes a camera and computer vision technology to control various mouse events and is capable of performing every task that the physical computer mouse can. The Virtual Mouse color recognition program will constantly acquiring real-time images where the images will undergone a series of filtration and conversion. Whenever the process is complete, the program will apply the image processing technique to obtain the coordinates of the targeted colors position from the converted frames. After that, it will proceed to compare the existing colors within the frames with a list of color combinations, where different combinations consists of different mouse functions. If the current colors combination found a match, the program will execute the mouse function, which will be translated into an actual mouse function to the users' machine.
A DESCRIPTIVE STUDY ON CLINICAL FEATURES OF BRONCHIECTASIS IN CENTRAL SRI LANKA

Background: Bronchiectasis is an emerging subject of interest.The classic textbook description of a patient with bronchiectasis describes a patient with clubbing with course crepitations and rhonchi audible on auscultation.However due to early identification and treatment, this classic description may no longer be valid.
Keep Others from Peeking at Your Mobile Device Screen!

The information displayed on mobile device screens can be seen by nearby (unauthorized) parties, called shoulder surfers. To protect sensitive on-screen information, we have developed HideScreen by utilizing the human vision and optical system properties to hide the users' on-screen information from the shoulder surfers.
Differentiated education at mathematics lessons in general education class of secondary school

The article is devoted to the solution of differentiated education problem at mathematics lessons in classes of general secondary school with the average number of thirty pupils in class. The relevance of the article is caused by the annual statistics of the state exams results confirming quite low level of pupils’ knowledge which prevents from achieving the main school purpose of preparing graduates being able to become the high-level up-to- date specialists. In this situation the problem of realization of differentiated education in general classes of secondary school seems to be important. The research mentioned in the article shows that the quality of teacher’s work is more important than the number of pupils in the class. It is noted that the appropriate choice of teaching methodology can improve the pupils’ knowledge under the conditions of limited resources of municipal general school. The term «differentiated education» means personally oriented approach which is based on the knowledge of each pupil’s personality and takes into consideration his or her individual features. The necessity of such approach is caused by the individual differences between pupils. The aim of the described methodology is to educate each of pupils according to the maximum level of his or her opportunities. The article suggests the option of individual education which provides the use of «intermediate» variant based on the division of pupils in the class in groups according to their abilities of learning new information. The realization of the proposed personally-oriented approach does not contradict to the main goal of the general education, which is to make every pupil learn the basic knowledge and skills of every subject and does not demand the school for additional resources. The article describes key stages of the realization of the proposed methodology such as the explanation of new information, the current theme tasks solving, daily monitoring and control. The description of the methodology is based on the personal practical experience of using this approach under the conditions of class-lesson’s system used in general school.