Reviewerly/exHarmony huggingface dataset:
Combination of One Time Pad Cryptography Algorithm with Generate Random Keys and Vigenere Cipher with EM2B KEY

Today, the development of information systems that focus on the use of information and communication technology is the basis for organizations to improve their competitiveness.Similarly, sending or exchanging messages is something that often happens in the world of information technology.The development of information and communication technology has triggered many parties to continue to develop the speed of sending messages, namely through the internet.Along with the development of the internet, it became a scourge for those who were haunted by worry about the security of the messages sent.The message sometimes often contains important information even very confidential and must be maintained.To maintain the security of the message, it can be done using cryptographic techniques.That is encrypting the message to be unlike the original message.In the cryptography, many algorithms are used to encrypt, including One Time Pad and Vigenere Cipher.Basically these two algorithms use the key to do encryption, for this reason, the author tries to research how to generate random keys on the One Time Pad algorithm and combined with the Vigenere Cipher algorithm with EM2B key.
IMPLEMENTATION OF INNOVATIVE TECHNOLOGIES AT THE LANGUAGE LEARNING AT THE NEW UKRAINIAN SCHOOL

The article deals with the problem of implementation of innovative pedagogical technologies of language learning at the New Ukrainian School.The attention is dedicated to the phenomenon of integration of pedagogical technologies in achieving a specific educational goal.The degrees of the development of various aspects of the problem, which are studied in methodical, psychological literature and linguistics, have been analyzed.It is noted that in modern linguistics the problem of implementation of pedagogical technologies at the lessons of the Ukrainian language has been deeply developed.However, the social importance of mastering students' key competences, skills and knowledge of self-acquisition and assimilation of knowledge, world trends in the development of modern science, processes of updating the education system in Ukraine, as well as insufficient coverage of issues in modern linguistics has actualized the problem of finding effective ways to implement innovative technologies of language learning at the New Ukrainian School.The object, subject, aim and research objectives are clearly defined.The methodology of the research (theoretical methods include studying of normative documents and working on topical problems of general secondary education, analysis and synthesis of achievements of linguistic, psychological, pedagogical sciences on the problem of implementation
Design, implementation, and assessment of a usable multi-biometric continuous authentication system

Authentication mechanisms typically verify the user identity only at login, or with tedious explicit authentication requests that improve security at the expense of usability. However, especially for critical systems, workstations have to be tightly and continuously secured in order to prevent unauthorised interventions. Recent researches envisage multi-biometric systems for continuous authentication, where biometric traits are acquired transparently to the user and authentication is provided without requiring explicit actions. In this work we propose a multi-biometric authentication system that continuously and transparently verifies the user identity through face, fingerprint and keystroke recognition. This paper presents the design, prototype implementation and assessment of our system. We evaluate the system usability and its trade-off with security in an experiment involving 60 users. Our findings show that security enhancements are provided and users: 1) perform the actions without additional effort; 2) largely accept the authentication system, which only requires minimal training.
DRIVER DROWSINESS DETECTION USING MATLAB

When a driver doesn't get proper rest, they fall asleep while driving and this leads to fatal accidents.This particular issue demands a solution in the form of a system that is capable of detecting drowsiness and to take necessary actions to avoid accidents.The detection is achieved with three main steps, it begins with face detection and facial feature detection using the famous Viola Jones algorithm followed by eye tracking.By the use of correlation coefficient template matching, the eyes are tracked.Whether the driver is awake or asleep is identified by matching the extracted eye image with the externally fed template (open eyes and closed eyes) based on eyes opening and eyes closing, blinking is recognized.If the driver falling asleep state remains above a specific time (the threshold time) the vehicles stops and an alarm is activated by the use of a specific microcontroller, in this prototype an Arduino is used.
ANALYSIS AND MANAGEMENT OF RISK RELATED TO USING CLOUD COMPUTING IN BUSINESS: EMPLOYEE’S PERCEPTION

With the recent advancement of the technology and its application to our daily business and social life; precisely the cloud computing system, however it has a risks that might lead to hesitation and lose of enthusiasm of using it.The main objective of this research is to find the risk factors, which may affect the business performance of the companies that use "Cloud Computing", and understand the consequences and its managements.To the best of my knowledge, this is the first study in Iraq on risk analysis and managements in cloud computing.The objectives achieved by distributing a questionnaire to 30 private companies in Iraq which are using cloud computing to risk managements by interviewed the employees who were responsible on managing "Cloud Computing" in their companies.That leads to recognize the potentials risk, and how much impact we might make to take the right decision in order to manage the risk to help using "Cloud Computing" without fears.
Penggunaan Media Sosial Instagram dalam Pembelajaran Kanji

This research entitled " Use of Instagram in Kanji Learning, sees that still many students who have difficulty in learn kanji, especially in remembering kanji caused by several things based on preliminary observations of the lack of interest of Japanese students in kanji and many consider it is difficult to learn kanji. The object of this research is the 5th semester Japanese language students who are actively using Instagram. This research used action research method. Data analysis result showed that of the 435 students who posted kanji via Instagram, most of them used features on Instagram and adjusted them to their ability to remember kanji, such as by association of images, interesting videos and videos of kanji writing sequences.
Cyber security for Medical Devices Using Block chain

One only has to turn on the news each day to hear about the latest cyber security breach and escalating theft of personal information.Never in the history of data storage has information been such a valued commodity.Critics are now comparing digital theft to the bank robberies of the wild-west days.Latest among the newsworthy cyber breach incidents are the targets of biomedical devices such as pacemakers, diabetic pumps, and patient monitoring devices.The pervasiveness of smart devices, such as Android and iOS wearable technology, has created a permanent paradigm shift of data transactions in the healthcare industry.However, these connected devices have created a 'honeypot' for threat activists, making a target and a potentially grave situation for the patient.What is the best method to protect the device and the wearer?This paper endeavors to introduce the subject of blockchain as a solution to the issue of protection of biomedical devices against threats and attacks.This paper is intended to be a systematic review of the subject and an edification of block chain within the wearable medical device realm.
Combined Forecasting Model of Network Security Situation Based on Information Fusion

In this paper, to control the development direction of network security situation more accurately and solve the forecasting problems in network security situation awareness (NSSA) a combined forecasting model of network security situation based on information fusion was proposed, in which sample set was firstly built according to the forecasted value and actual value of the situation of single forecasting model, and then the data set was used to calculate weight index, evaluation index and weight distribution of single forecasting model, and next the fusion characteristic of evidence theory was used to get the combination weight and carry out the combined forecasting, and finally each index was optimized by evidence discount method. The simulation results showed that the model can forecast the network security situation more effectively with the accuracy improved by about 8% on average compared with the existing forecast algorithms.
Blockchain Revolution: How The Technology Changing Business

Many existing business processes can be more effective and efficient with blockchain technology to save time, reduce risk and save money.Blockchain is a digital ledger where each block is linked to another block in a time stamped and every block has numbers of transaction with meta data like index, previous Hash and hash of that block.These hash make this digital ledger to an immutable public record of digital transactions.Every new transaction is validated by the other nodes across the distributed network before it is stored in a block.All transaction information once stored on the ledger is verifiable and auditable but not editable.With blockchains, business can establish what they are and then trade items like money, votes, deeds, intellectual property, stocks and bonds, loyalty points, and anything else that has value.One of the biggest divisions in blockchain technology is permissioned versus permissionless blockchains.Permissioned Blockchain is especially useful for the business that have to comply with regulations and wants to complete control of their data.Hyperledger works in this direction that has the aim of improving cross-industry permissioned blockchain technologies.In this paper we explained the some parameter for selecting platform of blockchain for business applications with some use cases and business people can also use Blockchain-as-a-service to deploy their own blockchain app easily that's managed and administered by cloud-based service providers.
"THREE-DIMENSIONAL PROTOTYPING AS A COMPONENT OF STEM- TECHNOLOGIES IN STRUCTURAL AND TECHNICAL AND RESEARCH WORK OF STUDENTS AND PUPILS"

The article presents a designed and developed printer for three-dimensional prototyping. The necessity of introduction of STEM-technologies for updating of educationalmethodical and technological base for realization of innovativeapproaches is substantiated. The results of researches of domestic and foreign scientists are analyzed, as well as the legal framework in the fi eld of use and implementation of the means of additive technologies in the educational andscientifi c fi elds. According to the results of the analysis, it was concluded that the main problem in the active implementation and use of additive technologies is the low level of material support, the lack of appropriate equipment or theinability to work with such equipment. Described and designed by students and students 3D-printer, which has been successfully tested in practice. The steps involved in setting up the printer, the software used, a generic sequence of setting up the printer, and some problems you may encounter while printing. Analyzing the state of logistical support, we can conclude on the necessity and expediency of using additive technologies in the design, manufacture and modernization of training equipment. The use of 3D-prototyping reduces the cost of manufacturing non-serial items or accessories. Working on the design and production of physics training equipment off ers great opportunities for enhancing the cognitive activity of students and students. Key words: STEM-technologies, educational robotics, three-dimensional prototyping, 3D-printer.
Generic Attack on Iterated Tweakable FX Constructions

Tweakable block ciphers are increasingly becoming a common primitive to build new resilient modes as well as a concept for multiple dedicated designs. While regular block ciphers define a family of permutations indexed by a secret key, tweakable ones define a family of permutations indexed by both a secret key and a public tweak. In this work we formalize and study a generic framework for building such a tweakable block cipher based on regular block ciphers, the iterated tweakable FX construction, which includes many such previous constructions of tweakable block ciphers. Then we describe a cryptanalysis from which we can derive a provable security upper-bound for all constructions following this tweakable iterated FX strategy. Concretely, the cryptanalysis of r rounds of our generic construction based on n-bit block ciphers with $$\kappa $$ -bit keys requires $$\mathcal {O}(2^{\frac{r}{r+1}(n + \kappa )})$$ online and offline queries. For $$r=2$$ rounds this interestingly matches the proof of the particular case of $${\texttt {XHX2}}$$ by Lee and Lee (ASIACRYPT 2018) thus proving for the first time its tightness. In turn, the $${\texttt {XHX}}$$ and $${\texttt {XHX2}}$$ proofs show that our generic cryptanalysis is information theoretically optimal for 1 and 2 rounds.
Meningkatkan Kemampuan Berbicara Monolog Teks Recount dengan Metode Demonstrasi Media Picture Series

The classroom action research (CAC) aimed to solve the 32 SMA Negeri 1 Srandakan Yogyakarta Grade X students’ low competence of recount text monologue. The CAC applied the method of picture series demonstration. The data was collected with observation and testing methods and analyzed with critically comparative and descriptive methods. The research result showed that the students’ activeness is 87.50%. In the first cycle, the students’ test score at average is 75.16 and the mastery of learning is 81.25%. In the second cycle, the students’ test score at average is 80.08 and the mastery of learning is 90.06% that is higher than 80%, the fair score of the mastery of learning. It concluded that the application of the method of picture series demonstration successfully improved the SMA Negeri 1 Srandakan Grade X students’ competence of recount text monologue.
Growth Scale Prediction of Big Data for Information Systems Based on a Deep Learning SAEP Method

With the explosive growth of big data in various application areas, it is becoming very important for information management system to know the real-time growth change and the long-term increasing trend of big data. Thus, in this paper, we propose a big data growth scale prediction method based on deep learning intelligence. By analyzing the features of big data in various information systems, we summarize several basic data types which are ubiquitous in all kinds of information systems, and give the calculation method of each data growth scale time series. Considering the complex correlation among various types of data produced in information systems and the demand for data scale prediction, a deep learning prediction model, stacked autoencoders prediction (SAEP), is built. The previous time series prediction only considered one time series, but the SAEP can consider multiple time series simultaneously. We use data growth scale time series with different time interval as training sample sets to study features of big data in information systems, and then we can obtain the parameters of the SAEP model for the expected time interval. In order to solve the training problem of deep neural network, we also give a layer-wise training algorithm whose basic idea is to train all the hidden layers of the SAEP model layer by layer and then fine tune the parameters of the whole network. Repeated experiments show that the prediction performance of the SAEP model is stable and obviously better than the traditional exponential regression prediction method.
Development of Electronic Teaching Material with Metacognitive Skill Oriented: Main Material for Blended Learning

The learning process in the digital era prerequisites of the need for and importance of the role of electronic teaching materials in blended learning.This study attempts to answer these needs with the aim of developing electronic teaching materials oriented by metacognitive skills.The development of electronic teaching materials is carried out with seven stages of development research ranging from needs analysis to trials and product revisions.The research data were collected using questionnaire techniques and field notes which were analyzed with descriptively qualitatively and quantitatively descriptively to determine the qualifications of the feasibility of the product from the experts and users.The product trial results show that electronic teaching materials are realized in electronic modules, mobile applications, and interactive flash achieve decent qualifications in terms of content, operational standards, and applicability.Students as users feel that learning with electronic teaching materials oriented by metacognitive are more directed and comfortable in online or offline learning.This result shows that electronic teaching materials can optimize the implementation of blended learning.
Classification of Loan Applications of Garima Bikas Bank Ltd Using Decision Tree Classification Method

There is a possibility in finding hidden patterns that might help find a relationship between the information provided by the Loan Applicants during the Loan Application process and the status of their loan repayment. This paper highlights on finding such patterns by building a Decision Tree with the help of the data provided during the loan application process. Eleven attribute information of Five Hundred sixty four loan applicants were collected from Garima Bikas Bank Ltd. A decision tree model with a depth of 6 has been built by calculating the entropy and information gain at each split and selecting the feature with the highest information gain.
GPLDA: A Generalized Poisson Latent Dirichlet Topic Model

The earliest modification of Latent Dirichlet Allocation (LDA) in terms of words or document attributes is by relaxing its exchangeability assumption via the Bag-of-word (BoW) matrix.Several authors have proposed many modifications of the original LDA by focusing on model that assumes the current topic depends on the words from previous topic.Most of the earlier work ignored the document length distribution since it is assumed that it will fizzle out at the modelling stage.Thus, in this paper, the Poisson document length distribution of LDA model is replaced with Generalized Poisson (GP) distribution which has the strength of capturing complex structures.The main strengths of GP are in capturing overdispersed (variance larger than mean) and under dispersed (variance smaller than mean) count data.The Poisson distribution used by LDA strongly relies on the assumption that the mean and variance of document lengths are equal.This assumption is often unrealistic with most real-life text data where the variance of document length may be greater than or less than their mean.Approximate estimate of the GPLDA model parameters was achieved using Newton-Raphson approximation technique of log-likelihood.Performance and comparative analysis of GPLDA with LDA using accuracy and F 1 showed improved results.
Ancaman Tort Kecerdasan Buatan terhadap Manusia: Retorik atau Realiti?

Apart from artificial intelligence's (AI) impressive abilities, it cannot avoid errors in judgment.This article intends to explain the weaknesses of the law of tort in addressing the threats of AI.This article also discusses the development of AI in Malaysia in order to assess Malaysia's readiness to face the legal threats caused by AI.The research methodology employed for this article is qualitative in nature.The data referred to in this article is based on the law of tort, previous cases decided by the courts, articles in journals, and online resources.The analysis of the available data concludes that AI has brought about new forms of threats in the realm of the law of tort.At this time, Malaysia has yet to have any legal preparation to face threats from AI.If these weaknesses are left unaddressed, tort victims may face difficulties in future to claim damages against the tortfeasor.
PROMISING TENDENCIES IN THE DEVELOPMENT OF GENERAL PEDAGOGY DEPARTMENTS OF INSTITUTIONS OF HIGHER PEDAGOGICAL EDUCATION

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SOFT COMPUTING SYSTEM FOR THE DIAGNOSIS OF HORMONAL IMBALANCE

Soft computing, as a science of modelling systems, applies techniques such as evolutionary computing, fuzzy logic, and their hybrids to solve real life problems. Soft computing techniques are quite tolerant to incomplete, imprecise, and uncertainty when dealing with complex situations. This study adopts a hybrid of genetic algorithm and fuzzy logic in diagnosing hormonal imbalance. Hormones are chemical messengers that are vital for growth, reproduction, and are essential for human existence. Hormones may sometimes not be balanced which is a medical condition that often go unnoticed and it’s quite difficult to be diagnosed by medical experts. Hormonal imbalance has several symptoms that could also be confused for other ailments. This proposed system serves as support for medical experts to improve the precision of diagnosis of hormonal imbalance. The study further demonstrates the effective hybridization of genetic algorithm and fuzzy logic in resolving human problems.
EYE TRACKING: A NEW EVOLUTION IN TECHNOLOGY

Technology has always been seen on a changing track.Every year, the ongoing technologies go through some finer advancement.These advancements not only make a nation technically powerful but also create new knowledge among the young aspiring minds.And being in 21st century is not an easy deal.A good number of primary firms are there which are strengthening the understandings of new automation concepts among the community and enhancing the civilian technological evolutions.And what when these evolutions got invoked with smooth reading of human minds.Yes, it sounds great.Eye tracking is one of these evolutions which also made me astonished, for once.One can easily imagine the uniqueness of this concept and at the same time, the interpretation wouldn't be facile.
Words Segmentation-based Scheme for Implicit Aspect Identification for Sentiments Analysis in English Text

Implicit and Explicit aspects extraction is the amassed research area of natural language processing (NLP) and opinion mining.This method has become the essential part of a large collection of applications which includes e-commerce, social media, and marketing.These application aid customers to buy online products and collect feedbacks based on product and aspects.As these feedbacks are qualitative feedback (comments) that help to enhance the product quality and delivery service.Whereas, the main problem is to analyze the qualitative feedback based on comments, while performing these analysis manually need a lot of effort and time.In this research paper, we developed and suggest an automatic solution for extracting implicit aspects and comments analyzing.The problem of implicit aspect extraction and sentiments analysis is solved by splitting the sentence through defined boundaries and extracting each sentence into a form of isolated list.Moreover, these isolated list elements are also known as complete sentence.As sentences are further separated into words, these words are filtered to remove anonymous words in which words are saved in words list for the aspects matching; this technique is used to measure polarity and sentiments analysis.We evaluate the solution by using the dataset of online comments.