Reviewerly/exHarmony huggingface dataset:
A Time Randomization-Based Countermeasure Against the Template Side-Channel Attack

The template attack is one of the most efficient attacks for exploiting the secret key. Template-based attack extracts a model for the behavior of side channel information from a device that is similar to the target device and then uses this model to retrieve the correct key on the target victim device. Until now, many researchers have focused on improving the performance of template attacks, but recently, a few countermeasures have been proposed to protect the design against these attacks. On the other hand, researches show that regular countermeasures against these attacks are costly. Randomized shuffling in the time domain is known as a cost-effective countermeasure against side-channel attacks that are widely used. In this article, we implemented an actual template attack and proposed an efficient countermeasure against it. We focus on the time shifting method against template attack. The results show that template attack is very susceptible to this method. The performance of attack on an AES algorithm is considerably reduced with this method. We reported the analysis results of our countermeasure.The performance of the attack can be determined according to various criteria. One of these criteria is the success rate of the attack. According to these results, template attack will be hardened significantly after the proposed protection such that the grade of the key recovery increases from 1 with 350K traces in unprotected design to 2100 with 700K traces in the protected circuit. This security improvement gains in the cost of about 7% delay overhead.
ISO 22301과 ISMS 인증 요구사항이 기업성과에 미치는 영향 : 기업문화 매개를 중심으로

Purpose: This study wanted to empirically study the effects of ISO 22301 and ISMS certification requirements on Business Performance. Method: For research, a survey was conducted on ISO 22301 and ISMS-certified companies to collect data and use SPASS18 and AMOS18 for statistical analysis. Results: Verification of the hypotheses through the questionnaire demonstrated that BCP, BCM operation, management, and access control of ISO 22301 and ISMS certification requirements, including BIA, risk assessment, BCP, BCM, BCM operation, management, and access security requirements, affect the enterprise's performance (quality improvement, customer satisfaction, financial performance) through the intermediation of the enterprise culture, and the feasibility of the survey paper is high. Conclution: This study has derived the impact of ISO 22301 and ISMS certification requirements on business performance, and based on this, it is deemed necessary to present improvements to ISO 22301 and ISMS certification, and to study future ISO 22301 certification activation and domestic certification, BCMS.
LibGuides: English 1A - Tamarra Coleman: Finding Books & eBooks

This guide is intended for students who are doing research in Tamarra Coleman's English 1A course
Mobile Application for Asthma Prediction using Fuzzy-Certainty Factor Expert System

Asthma is a chronic illness that sporadically affects the ability of the person who has it to breathe. It is reported that out of the 417,918 global deaths attributed to asthma in 2016, and the majority occurred in low- and lower-middle-income countries. Asthma sufferers in these countries often do not realize that they have asthma and leave the symptoms untreated because they have limited access to affordable and quality healthcare. We propose a methodology to address this issue by bringing the medical experts closer to the poorer segment of the population via a mobile application. The application uses a rule-based algorithm based on a fuzzy-certainty factor model to manage uncertainties that are present when collecting data from the experts and users. The result of the experiment shows that this technique manages to accurately predict the occurrence of the disease and identify the type of the disease with 96.7% accuracy.
The Impact of World Market on Ho Chi Minh City Stock Exchange in Context of Covid-19 Pandemic

The study aims to measure the impact of 4 market factors and Covid-19 including:S&P500 index, oil price, gold price and total number of infections on VN Index of Vietnamstock market (STC) in the period. Covid-19 pandemic period from January 2020 to June 2021using ARDL model. Research results show that in the long-term S&P500, oil and gold priceshave an impact on VN Index. Besides, the VN Index has a positive relationship with the S&P500index, oil price, and inversely with the gold price. The total number of infections does not affectthe VN Index because the stoppage condition is not met
Reform and Application of Project Teaching Method in EDA Course Teaching

In view of the strong practicability and wide application range of EDA course, this paper comprehensively considers the disadvantages of traditional teaching mode and the weak practical ability of students, puts forward the project-based teaching method, and explores its application and implementation process in EDA course teaching for reference.
On Efficient Range-Summability of IID Random Variables in Two or Higher Dimensions.

$d$-dimensional efficient range-summability ($d$D-ERS) of a long list of random variables (RVs) is a fundamental algorithmic problem that has applications to two important families of database problems, namely, fast approximate wavelet tracking (FAWT) on data streams and approximately answering range-sum queries over a data cube. In this work, we propose a novel solution framework to $d$D-ERS for $d>1$ on RVs that have Gaussian or Poisson distribution. Our solutions are the first ones that compute any rectangular range-sum of the RVs in polylogarithmic time. Furthermore, we develop a novel $k$-wise independence theory that allows our $d$D-ERS solutions to have both high computational efficiencies and strong provable independence guarantees. Finally, we generalize existing DST-based solutions for 1D-ERS to 2D, and characterize a sufficient and likely necessary condition on the target distribution for this generalization to be feasible.
Facebook’s Australian news ban: threat, impact, and aftermath

Responding rapidly to extraordinary developments in early 2021, this panel examines the background, development, implementation, and consequences of the latest Australian regulatory intervention in the engagement between content platforms and domestic media organisations: the News Media Bargaining Code (NMBC). The Australian federal government envisioned the NMBC as “a mandatory code of conduct to address bargaining power imbalances between Australian news media businesses and digital platforms, specifically Google and Facebook”; following a period of consultation that saw substantial public relations campaigning from Google, Facebook, and other content platforms to question the aims and effectiveness of the proposed code, the NMBC bill was sent to federal Parliament in December 2020. Google and Facebook both threatened to remove their services from Australia, or remove Australian news content from their platforms, if the NMBC passed in its original form. Such threats were regarded by some of the NMBC’s proponents as blatant attempts at “bullying” the Australian government to water down the Code, and in pushing ahead with the debate of the NMBC bill in the Australian Parliament the government essentially sought to call the platforms’ bluff – yet in the morning of 18 February 2021, Facebook followed through on its threats and both removed all content from the Facebook pages of Australian news outlets (and from those of other actors mistakenly classified as providing news), and banned any domestic or international users from publishing or accessing any posts that contained links to Australian news sites. The ban remained in force until 26 February, when urgent negotiations between Facebook and the Australian federal government produced a preliminary solution to the crisis. The Code finally became law on 2 March 2021. This panel reviews these turbulent developments. In combination, the four papers on this panel present a comprehensive and multifaceted picture of the News Media Bargaining Code, its context, and implications.
Vocational education in the context of digital transformation: new challenges and unknown resources

The purpose of the article is to analyze the main characteristics of digitization of the education system on the background of FIR and the transition of humanity to the Digital Age to formulate new tasks arising for education in this regard, to consider new resources for its development. In the course of research, the following will be used: comparative and comparative method; system approach and methods of analysis and synthesis; historical and logical methods, comparative analysis, content analysis. Justification of the expediency of personalized learning in the transition to digital education as leading learning technologies, the need to improve teaching methods and models of digital competencies as well as the system of additional professional education as an effective tool for solving problems in the labor market and employment. The results of the analysis allow integrating international and domestic developments in terms of understanding the socio-humanitarian aspects of the digitalization process, the existing approaches to the digitalization of education.
Abnormality Detection in Roads taking Data Mining Approach

Investigation of street mishap is extraordinarily essential because of it will uncover the connection between the different kinds of qualities that adds to a street mishap. Qualities that affect the street mishap will be street trait, environmental factors ascribes, traffic credits and so on Breaking down street mishap will give the information with respect to the commitment of those ascribes which may be utilized to beat the mishap rate. These days, information handling could be an inescapable procedure for inspecting the street mishap dataset. during this investigation, we have played out the characterization of street mishap on the possibility of street client class. we have utilized Self Organizing map (SOM), K- modes group strategy to bunch the data into steady portions thus applied SVM,NB and call tree to characterize the information. we have performed characterization on information with and keeping in mind that not group. The outcome represents that higher grouping exactness will be accomplished when division of data exploitation bunch.
A Novel Approach To Dynamic Key Cryptography (Dkc) With Delay Reduction Technique

The security of information is one of the most important factors in communication since the concept of the Internet has become commercial. Attacks affects service to individual users, major Internet commerce sites, and even core Internet infrastructure services. Most of the encryption techniques emphasized on securing text or images. Traditional approaches like transpositions or substitutions for text security and image transformation techniques for image security have been used. The use of multimedia data like MMS and videos are being used on internet is growing day by day. Security of this multimedia data is main priority. Traditional methods do not completely ensure the safety of data from brute force methods, applied by spy-bots to secure multimedia data. To enhance security large key size and complex procedures have also been deployed. Large key sizes, multiple layer securities and complex calculations increased the level of encryption, but these techniques cause extra overhead for CPU. This paper proposes a novel symmetric key based encryption technique that uses multimedia file to generate dynamic keys to encrypt any type of multimedia data. A special encryption function has been used in this technique to select dynamic key randomly from the multimedia file.Key size, number of iterations and layers will depend on the data and multimedia file to be used for encryption. This technique ensures zero loss of user data and the multimedia file used to encrypt. Various performance metrics like Time, Throughput, Key Strength, Concealed, Durability, and Payload has been analyzed.
Preparing for the inevitable

This research focuses on those best practices' organizations should adhere to for network health and security. No longer is it if an organization will be the victim of a cyber-attack, but when. The...
Design of facial expreshion using convolutional neural network

Facial expressions or expressions are the result of one or more movements or positions ofmuscles in the face. Facial expressions are a form of nonverbal communication, and can conveythe emotional state of a person to the observer. Facial expression is one of the characteristics ofbehavior. The use of biometric technology systems with facial expression characteristics makesit possible to identify a person's mood or emotions. basic variables in facial expression design areface detection, facial data extraction, and facial expression recognition. In principle, the detectedfacial data is processed using deep learning using Convolutional Neural Netowk for facialexpression recognition.
Image Super Determination Model Enabled through Wavelet Lifting with Improved Deep Convolutional Neural Network

Super resolution techniques have emerged for different applications in various fields as HRphotographs provide an abundance of information and helpful. Deep learning-based SR models have beenrapidly developed over the past few years, and deep learning-based SR models are commonly found todeliver on the benchmarks of super resolution photos. This study proposes to use Wavelet-based highresolutionprocessing with Deep learning algorithms for super-resolution processing. The resolution of theHR images is changed to Low Resolution (LR) utilizing bicubic interpolation-based down sampling and upsampling before beginning the resolution step. It is also helpful to generate the four sub-bands of each imageby employing the Wavelet lifting approach. Also, the residual picture is created by subtracting the LRSBfrom the HRSB. Training and testing are the two major phases in the suggested paradigm. During thetraining phase, Deep Convolutional Neural Network (DCNN) trains the residual image of all images byfeeding LRSB as input and the residual image as target. This alternative view is in line with the idea that intesting, the LRSB query image is subject to Deep CNN, which returns the residual image to the neuralnetwork. The image that was created as a result of the summing of the residual image with LRSB image,along with an inverse wavelet lifting procedure, results in the final super resolution image. This work aimsto improve the Deep CNN by modifying the Whale Optimization Algorithm (WOA) by altering the numberof hidden layers and hidden neurons (PSNR). In the end, the proposed approach delivered equivalentoutcomes to the other models.
Prerequisites and Tools

While the Cognitive Services APIs enable developers and data professionals to put a lot of cool technology to work, it’s important to talk about the tools used to develop, test, and operationalize this technology. Before one can dive into the tools, it’s important to talk about the prerequisites necessary to working with the Cognitive Services APIs in development environments, test environments, and production environments. Before we can discuss prerequisites or tools, however, it is important to lay out an intro to Cognitive Services and Machine Learning, which programming languages lend themselves to the best (and easiest) interaction with these APIs. While there are some languages whose interactions with these APIs may best be described with the terms “square peg” and “round hole,” we will walk you through the most common interactions with the Cognitive Services APIs in some frequently seen and used programming languages.
Development of socio-cultural competence among high school students in foreign language lessons through authentic feature films

We substantiate the necessity of the formation of socio-cultural competence among high school students in foreign language lessons through authentic feature films. We carry out the analysis of the concept of “sociocultural competence”, its aspect composition (axiological, informational, activity), levels (critical, adaptive and productive), reflecting the formation of sociocultural competence in high school students, and criteria (motivation, cognition, functionality and beha-vior) are determined, based on which these levels are highlighted. We consider the issues of using the technology of blended learning in teaching foreign languages. The main focus is on the selec-tion of educational technology “flipped class”, which is referred to as blended learning models. The teaching model based on the inverted classroom technology consists of the following compo-nents: updated content, interactive methods, organizational forms, means of traditional and dis-tance learning and a set of independently developed tasks and exercises for three stages of working with feature films (interrogation, viewing, post-viewing). The testing of this complex is carried out within the framework of a specially conducted pedagogical experiment, as a result of which the complex has confirmed its effectiveness. We prove that methodologically well-organized work on the formation of socio-cultural competence among high school students in foreign language lessons through authentic feature films makes the process of teaching a foreign language creative and constructive.
Stratigraphy and ground-water geology of the Gezira Plain, central Sudan

This chapter deals with the distribution, occurrence, and stratigraphy of the sediments on top of the Basement Complex rocks, as well as with their groundwater. At a time when the Sudan is being mooted as the future granary of the Arab world, knowledge of its water resources is as relevant to modern man as it was, albeit on a smaller scale, to the early inhabitants of this area. The Nubian Sandstone Formation occupies about 28 % of the surface area of the Sudan and is the main sedimentary sequence and aquifer in the Sudan. The Nubian Sandstone Formation is the main aquifer in the Sudan, but in the Gezira area it occurs at greater depths and consequently is not as well exploited as in other parts of the Sudan. A comparison between the transmissivity and storage coefficient values of the Gezira and Nubian aquifers reveals that the Gezira aquifer is more efficient than the Nubian aquifer.
Predicting inquiry from potential renters using property listing information

In this study, we deduced how accurate the number of inquiries from potential tenants for housing available for rent can be predicted based on the attributes of the housing, using multiple statistical methods, and compared the results. The purpose of this study is to show these results as case studies. Confusion matrices were calculated based on the results deduced with three methods – the classical logistic regression, RandomForest, and XGBoost – and prediction accuracies were verified. The results showed that the accuracy of XGBoost was the highest, followed by that of logistic regression. It is sometimes desirable to use logistic regression, which is easy to interpret from the perspective of application to business, because the differences in accuracy among the statistical methods are not significant. It is thus important in business to take into account the accuracy, ease of interpretation, and research structure and select the most appropriate statistical method.
Research on the Teacher-student Interaction in College Online Classroom from the Perspective of Interactive Ritual Chain

The teacher-student online interaction is related to the effect of online teaching and the quality of talent cultivation. According to the interactive ritual chain theory of Randall Collins, online teaching is a complete interactive ritual constructed by teachers and students in online teaching space. Combined with the national online teaching research report during the epidemic in 2020, this paper points out the problems of teacher-student interaction in online classroom from the four aspects of interactive ritual situation, context, subjects, process and effect. Data shows that the ritual sense of interactive situation in online classroom is weak, the interactive subjects fail to fulfill their roles, the interaction process is too procedural, and the interaction ceremony lacks emotional connection. This paper puts forward some suggestions to promote the effect teacher-student interaction, such as creating the sense of ritual in the interactive situation between teachers and students, clarifying the role of the interactive subject, integrating information and humanization into interactive process, and constructing a comprehensive education system with emotional connection.
A Comprehensive Review Of Cloud Computing Security Threats And Mitigation

The diversity of malware software deformed the security planning of cloud-based services over the Internet, degraded the performance, and broke data integrity. However, the security of the cloud-based application and its services is still an open research challenge. Researchers continuously work on server-side security models and client-side security models. The efforts of researchers developed various security models to secure data and networks for different types of attacks. The adoption of cloud-based services and understanding of management are significant factors in threats of services and data loss.  The proper management of services reduces the possibility of threats and data leakage of cloud-based services. This paper systematically reviews different types of security challenges and mitigation mechanisms in cloud computing. The paper also dowries and deliberates on various open research issues, gaps and challenges in deploying a security model in cloud-based services.
THE ROLE OF THE STUDENT SCIENTIFIC SOCIETY OF THE DEPARTMENT IN ORGANIZATION OF STUDENTS IN THE UNIVERSITY

The article shows the role of the student scientific society in attracting students to research work at the university. On the example of the student scientific society "Geosphere" of the Department of Geodesy, Physics and Engineering Structures of the Faculty of Environmental Engineering of the Altai State Agrarian University, a mechanism for involving first-year students in research work is presented. The structure, organization, directions and forms of work of the circle, the main projects being implemented, are also given, an assessment of the results of its activities and the most significant achievements are given. The positive role of the student scientific society in increasing the effectiveness of research work of students at the university is noted.