Reviewerly/exHarmony huggingface dataset:
A Study on Research Trend Analysis and Topic Class Prediction of Digital Transformation using Text Mining

In the era of the Fourth Industrial Revolution, digital transformation, which means changes in all industrial structures, politics, economics and society as well as IT technology, is an important issue. It is difficult to know which research topic is being studied because digital transformation is being studied in various fields. Convergence research is possible because a research topic is studied in various fields such as computer science area and Decision science area. However, it is difficult to know the specific research status of the research topic. In this study, eight research topics were derived using the topic modeling technique of text mining for abstract of academic literature and the trend of each topic was analyzed. We also proposed to create a Topic-Word Proportions Table in the LDA based Topic modeling process to predict the topic of new literature. The results of this study are expected to contribute to advanced convergence research on topic of digital transformation. It is expected that the literature related to each research topic will be grasped and contribute to the design of a new convergence research.
Privacy Protection: An Anti-Fraud Scheme Based on Improved Bayesian Game Model in Multimedia Communication System

In the multimedia communication system, users are often exposed to fraud information from malicious applications (such as providing fake bids and false content), which can easily cause privacy leakage. And multimedia information pluralism make it more difficult to protect users’ privacy. To solve these problems, this article proposed an anti-fraud scheme based on improved Bayesian game model. First, we designed a Bargain-bayesian game model for modeling the interaction between applications and regular users. We used the Two-round bargain method to establish payoff matrix for two players and adjust it through regular user’s detection rate dynamically. Then we obtained the application’s best bid in the first round of bargain by backward induction to prevent malicious applications from sending fake bids. Second, we customized a group of test users and developed another interaction model between applications and users (i.e., regular and test) as the Two-side Bayesian game model based on sliding adaptive logistic regression method, then we put three influencing factors into the payoff matrix: test user’s ratio, malicious application’s ratio, and regular user’s ratio. Through Bayesian Nash Equilibria analysis, we obtained values of three influencing factors when malicious applications provide true content, and thus solved the problem of malicious applications providing false content. Finally, experiment results proved that the new scheme had effectively raised expected payoffs for both players and their transaction achievement rate, and lowered the probability of users being deceived by malicious applications, which successfully solved the issue of users’ privacy disclosure.
Development of Image Recognition System Using Machine Learning Image Recognition System

After the Great East Japan Earthquake, “Isoyake” has occurred in Tohoku. A large amount of sea urchin occurred due to the “Isoyake”, algae suffered from damage and suffered severe fishing damage. As a countermeasure for this, we are developing a system to discover sea urchin using small ROV and to remove and recover sea urchin. In this paper, we carried out fundamental research to develop an image recognition system to be mounted on a small ROV. We also constructed a real-time image recognition system for practical application. In image recognition, machine learning was performed using OpenCV. As a result, we were able to recognize sea urchins. Also, we could construct a network for real - time image recognition.
Zonotopic and Gaussian State Estimator: the Predictor and Filter Algorithms

In the literature, the state estimator for linear systems called zonotopic and Gaussian Kalman estimator was introduced by Combastel in 2015.It was proposed as a predictor and presented in the one-step form.The difference between a predictor and a filter is the measurement sequence used to estimate states.Predictors use the past measurements, while filters use both past and current measurements.Also, in the one-step form, the states are estimated at once.In the two-step form, the states are estimated according to the forecast and data-assimilation steps, that is, the predictive/corrective structure is made explicit.This paper revisits such estimator, here called ZGKP, and proposes two novelties.First, the two-step form is introduced for the ZGKP.After, the filter version to the estimator is proposed, here called ZGKF, in the two equivalent forms.The advantages by using the filter in comparison to the predictor are discussed.
On Probabilistic k-Richness of the k-Means Algorithms

With Kleinberg’s axiomatic system for clustering, a discussion has been initiated, what kind of properties clustering algorithms should have and have not. As Ackerman et al. pointed out, the static properties studied by Kleinberg and other are not appropriate for clustering algorithms with elements of randomness. Therefore they introduced the property of probabilistic k-richness and claimed, without a proof that the versions of k-means both with random initialisation and k-means++ initialization have this property. We prove that k-means++ has the property of probabilistic k-richness, while k-means with random initialisation for well separated clusters does not. To characterize the latter, we introduce the notion of weak probabilistic k-richness and prove it for this algorithm. For completeness, we provide with a constructive proof that the theoretical k-means has the (deterministic) k-richness property.
Information System Security Risk Management Analysis in Universitas Advent Indonesia Using Octave Allegro Method

Universitas Advent Indonesia is one of the many universities that use information technologyto support their business processes in the hope that information technology will providesignificant benefits. The use of information technology in supporting a business can not beseparated from the risks that might be faced. for that, good management of informationtechnology will be the key to how much risk will be faced. In this case, the researcher willconduct an analysis of information system risk management at the Universitas AdventIndonesia. The method used by researchers is OCTAVE ALLEGRO. OCTAVE ALLEGROis a method that is often used to carry out analysis in the field of risk management and riskassessment. The purpose of this study was to identify risks that could potentially threatenbusiness processes at Universitas Advent Indonesia by first identifying the impact of the area,determining the scale of priorities etc. The results of the study using OCTAVE Allegro is arisk reduction approach for each area of concern of each UNAI critical information assetnamely student financial information, lecturer financial information, student scoreinformation, student transcript information, and class attendance data. UNAI makes writtenrules regarding responsibilities in maintaining information security and sanctions for violatorsand do socialize about the rule well gradually to Universitas Advent Indonesia employees.Re-evaluate information security by using OCTAVE Allegro method periodically, forexample, once every 2 years.
“Bearing in Mind His Past Activities, Save His Life”: Letter to St. Petersburg Workers in Support of G. S. Khrustalev-Nosar, Ex-Head of the Petersburg Soviet: 1905

The article draws on archival documents to analyze the matter of St. Petersburg workers rendering their financial support to G. S. Khrustalev-Nosar, former chairman of the St. Petersburg Soviet of Workers' Deputies (1905) who fell ill with tuberculosis while in emigration in Paris.The article is to consider archival documents on labor movement in St. Petersburg in 1912 and to provide their comparative analysis in order to assess workers' attitudes towards former chairman of the St. Petersburg Soviet of Workers' Deputies (1905).Comparison of record keeping documents (primarily, of police and court) from the fonds of the State Archive of the Russian Federation and materials from periodical press ("Istoricheskii Vestnik") allows to identify who and when wrote the letter and to verify information stated therein (in particular, the fact of the former chairman's illness and that of financial support rendered him by workers).The research gives an opportunity to flesh out the existing notions on G.S. Khrustalev-Nosar's role in the Russian labor movement in the early 20th century: he was respected by St. Petersburg workers, who, as the article proves, remembered both him and the activities of the St. Petersburg Soviet of Workers' Deputies in 1905.This fact proves the importance of the idea of a Soviet in St. Petersburg workers' minds.The article is of significance as it is necessary to establish the fact that social communications between the intelligentsia and the people took place.It supplements the existing views on the role of intellectuals in the revolutionary events and their interactions with the people in the early 20th century in particular.The author has made a contribution to studying Russian history, as he has added to the knowledge of connections between worker and revolutionary movements in 1905-1917.
Preparedness of Society to Confront of Forest Fire and Peatland in Singkawang City

This research studies analyzing the community and students in Singkawang City that have an impact on forest fires on peatlands, fire attacks because it increases the dry season that triggers forest fires so it is felt, this research was conducted to prevent dangerous material. Data was collected using a questionnaire method, through this questionnaire will be discussed the level of preparedness to deal with forest fires in the City of Singkawang. The method used in this research is descriptive quantitative. Quantitative samples using purposive random sampling techniques. The subject will be used as a sample of research in Singkawang City community and high school students in Singkawang City. The data to be obtained in this study will be published by descriptive by describing the results of the research obtained from the research questionnaire and then the data obtained will be classified by techniques that can compare each person so that from the groups that can be done this can be done to improve disaster fire preparedness.
The Possibility of Artificial Intelligence in the Development of the Third Mission of Universities

One of the main goals of the modern development of universities in the world is to promote social, cultural and economic development of the society in which these institutions operate through the creation, implementation, expansion, dissemination and use of new knowledge, establishing direct relationships with the region and all its components, which, in turn, provide the basis for the development of education itself, based on projects to solve real problems. At the same time, the assessment of the involvement of the University in the solution of actual problems of the region is carried out on the basis of theoretical designs, models and criteria that form the signs (indicators) of success. This approach strengthens the position of the University as a driving force of innovation and development of the region at any level, and one of the main roles here can be played by the network development of universities, based on the intellectual analysis of data on the current state, on the one hand, of the science in the University and, on the other hand, the situation in the economy and social sphere. In Europe, this approach is called the Third mission of universities. The article considers the use of several types of fuzzy hybrid models used in studies of the interaction between the University and the region, which improve the quality of evaluation of its effectiveness.
Formação de utilizadores em Escolas de Engenharia nas Bibliotecas de Ensino Superior em Portugal: a visão dos profissionais da informação

Information literacy is increasingly important in a contemporary society characterized by an environment of rapid technological changes and dissemination of information resources and is, therefore, recognized as a fundamental competence for the academic success of students in Higher Education Institutions.Nowadays, some of the main functions of the libraries of Higher Education Institutions are to support students in their learning and research activities.Because libraries play an active role in the educational process, information professionals need to devise training plans to meet their target audience, set goals, and devise strategies to measure the efficiency and quality of the services they provide.To figure out the perception of these information professionals in Engineering Schools in Portugal, we conducted a survey by questionnaire.The results allowed us to conclude on the specificities of this user profile and that there are still many obstacles to the practice of librarian training.
Towards the Trust-Enhancements of Single Sign-On Services

Single sign-on (SSO) becomes popular as the identity management and authentication infrastructure in the Internet. A user receives an SSO ticket after being authenticated by the identity provider (IdP), and this IdP-issued ticket enables him to sign onto the relying party (RP). However, there are vulnerabilities (e.g., Golden SAML) that allow attackers to arbitrarily issue SSO tickets and then sign onto any RP on behalf of any user. Meanwhile, several incidents of certification authorities (CAs) also indicate that the trusted third party of security services is not so trustworthy as expected, and fraudulent TLS server certificates are signed by compromised or deceived CAs to launch TLS man-in-the-middle attacks. Various approaches are then proposed to tame the absolute authority of (compromised) CAs, to detect or prevent fraudulent TLS server certificates in the TLS handshakes. The trust model of SSO services is similar to that of certificate services. So this paper investigates the defense strategies of these trust-enhancements of certificate services, and attempts to apply these strategies to SSO to derive the trust-enhancements applicable in the SSO services. Our analysis derives (a) some security designs which have been commonly-used in the SSO services or non-SSO authentication services, and (b) two schemes effectively improving the trustworthiness of SSO services, which are not widely discussed or adopted.
End-to-end Korean Digits Speech Recognition

The traditional speech recognition model consisting of an acoustic model and a language model is mainly used. Recently, an end-to-end speech recognition model consisting of a single integrated neural network model is being studied. This model has the advantage that it does not require a lot of training and it is easy to understand the structure of the model. In this paper, we designed the end-to-end model for Korean digit speech recognition and showed the performance results. We tried the digit speech recognition model in two forms: word model and character model.
Text-to-Image Encryption and Decryption Using Piece Wise Linear Chaotic Maps

Generally, if an image is received as a Cipher, it is assumed that the data (to be sent) might be an image, but text can also be encrypted in the format of an image. So to confuse the attacker, this paper proposes a technique that encrypts the text into image using piecewise linear chaotic map (PWLCM). A text file can be taken as input and the proposed algorithm will convert it into a cipher image, which can then be converted back by the decryption process. The advantage of this scheme is that it is quite secure and hard to break. Also, PWLCM Maps is the simplest among chaotic maps. At first, the text is converted from 7-bit ASCII to its double equivalent and then padding is done to get the required matrix to form a structure for the image to which the text will be converted. After that permutation is done to the matrix bits and then diffusion occurs at two stages, first for the rows and then for the columns. Both permutation and diffusion are done using PWLCM map.
A shape-gain approach for vector quantization based on flat tori

In this paper we present a vector quantization framework for Gaussian sources which combines a spherical code on layers of flat tori and the shape and gain technique. The basic concepts of spherical codes in tori layers are reviewed and two constructions are presented for the shape by exploiting the $ k/2 $-dimensional lattices $ D_{k/2} $ and $ A^{*}_{k/2} $ as its pre-image. A scalar quantizer is optimized for the gain by using the Lloyd-Max algorithm for a given rate. The computational complexity of the quantization process is dominated by the lattice decoding process, which is linear for the $ D_{k/2} $ lattice and quadratic for the $ A^{*}_{k/2} $ lattice. The proposed quantizer is described in details and some numerical results are presented in terms of the SNR as a function of the quantization rate, in bits per dimension. The results show that the quantizer designed from the $ D_4 $ lattice outperform previous records when the rate is equal to 1 bit per dimension. These quantizer also outperform the quantizers designed from the dual lattice $ A^{*} $ for all rates tested. In general the two proposed frameworks perform within 2 dB of the rate distortion function, which may be a good trade-off considering their low computational complexity.
"IMPLEMENTATION OF STEM-EDUCATIONAL ELEMENTS IN TRAINING PROCESS"

In the article the necessity of introduction of elements of STEM-education in the training of physics.The article describes the main features of modern STEM education. STEM-education is promising directions of educational activities within the challenges of the 21st century. At the article examines the experience of introducing innovative forms of STEM-education for the organization of the educational process, examples of STEM-projects in physics is given.Key words. STEM-educational, STEM-projects, management, school, physics.
Can VAEs capture topological properties

To what extent can Variational Autoencoders (VAEs) identify semantically meaningful latent variables? Can they at least capture the correct topology if ground-truth latent variables are known? To investigate these questions, we introduce the Diffusion VAE, which allows for arbitrary (closed) manifolds in latent space. A Diffusion VAE uses transition kernels of Brownian motion on the manifold. In particular, it uses properties of the Brownian motion to implement the reparametrization trick and fast approximations to the KL divergence. We show that the Diffusion Variational Autoencoder is indeed capable of capturing topological properties.
Meningkatkan Hasil Belajar Peserta Didik pada Mata Pelajaran IPS Mengunakan Model Pembelajaran Picture and Picture

This research aims to find out the Social science learning outcomes of fourth grade students of SDN Sungai Sandung 1 by implementing picture and picture learning model. The type of research was classroom action research consisting of two action cycles. The research sampling technique was cluster random class. The research subjects were fourth grade students of SDN Sungai Sandung 1 in academic year of 2018/2019 consisting of 19 students by implementing picture and picture learning model. The research data collection instruments were tests in the forms of multiple choices and observation sheets. Based on the research data, the result of pre-cycle showed that 3 students got score of ≥70 with completeness percentage of 16%. The result of cycle I showed that there was no difference (improvement) on student’s learning outcomes that number of students who passed the completeness criteria in the cycle I was equal to one in the pre-cycle which was only three students got score of ≥70 or the completeness percentage was 16%. The result of cycle II showed that students who got score of ≥70 increased significantly which were 16 students with learning completeness percentage of 84%. The result shows that there is a significant difference (improvement) on the Social science learning outcomes of students by implementing picture and picture learning model in the fourth grade of SDN Sungai sandung 1.
Cryptocurrency (Blockchain) Technology as a Means of Leveraging the Nigeria Economy

Cryptocurrency is generally known to be a digital record of ownership of nominal balance which can be used to pay for transactions.Thus, for any transaction, the buyer gives instructions to transfer ownership of a certain amount of his balances to the seller.The use of cryptocurrencies such as Bitcoin and Ethereum in performing online transactions has been on the rise and almost accepted generally in the world.Africa as a continent is not left out in the adoption of blockchain and cryptocurrencies.Today, in 2019, the question of whether or not digital money can actually become a useful and secure part of the Nigerian economy is being seriously debated.This paper explores how cryptocurrency technology can be a means of leveraging the Nigeria economy and its extremely large population.
Perceptions And Attitudes of Saudi Arabia University Students Towards Adopting WhatsApp As Students-teachers’ Interactive Tool

This study was mainly grounded in the researchers’ personal experience of using WhatsApp as an interaction tool in an English classroom. This platform was used to enhance the communicative interaction between the students and their teachers. WhatsApp group was created during the first semester in 2018/2019 at the College of Science and Arts at Najran University - Branch of Sharurah, and the College of Sciences &amp; Arts at Qassim University - Branch of Alasyah. The participants were bachelor degree students of English. The study employed a quantitative exploratory research approach, whereby a questionnaire was distributed to students who used WhatsApp as an interactive tool in their course of study. Data was obtained through a questionnaire with (40) purposively selected students of WhatsApp group. Data were analyzed quantitatively based on the SPSS program. The results show that WhatsApp had a positive effect in enhancing interaction between students and their teachers, WhatsApp makes interaction between teachers &amp; their students easier than in the classroom. As a result, shy students can freely communicate &amp; interact through WhatsApp with each other and their teachers, WhatsApp creates a friendly relationship between students and their teacher, and WhatsApp is an efficient tool of interaction in cases of distant learning. Therefore, student-teacher interaction becomes more effective in WhatsApp than inside the classroom.
A Projector Calibration Method Using a Mobile Camera for Projection Mapping System

Projector-camera systems are commonly used for projector calibration. Conventional methods usually use stationary cameras and temporal coded structured light (SL). In this paper, we propose a projector calibration method using a mobile camera and spatial coded SL. Our method allows the users to use a handheld camera to carry out projector calibration and therefore reduce the effort and time required for camera setup. Although the decoding of temporal coded SL can be error-prone in a real-world situation, our method can achieve robust calibration results by taking advantage of the multi-view observations of the projection thanks to the mobility of the camera. Experiments show that the result of our method is comparable with that of a checkerboard-based approach.