Reviewerly/exHarmony huggingface dataset:
La innovación educativa en el uso de los medios de enseñanza: una propuesta de solución que incluye las TIC

The use of teaching materials is a highly topical subject worldwide, not only due to the use of Information and Communication Technologies (ICTs) in the realm of education, but also to the lack of a comprehensive, contextualized, and developmental approach, which is typical of this realm. This can be specially seen in the way teachers effectively use the diverse existing materials. The progressive and integrated system for teaching materials, designed by the Educational Technology Department belonging to the Cuban Ministry of Higher Education, as well as the devising of the theoretical and methodological model to assimilate ICTs, and web-based information system for blended learning came together in a methodological strategy as an innovative way of using ICTs in teaching-learning process. This work is a contribution to university didactics, in the form of attaching a greater importance to the diverse use of teaching materials.
Penerapan Metode Fuzzy Subtractive Clustering

Cluster analysis is a statistical analysis to classify the objects to be some clusters based on checked variables and similarity of character between the objects. Quality of human living or society has been influenced by many things. In reality, population density is very influential to the quality of human living because high population density will cause many problems that impact on deterioration of quality of human living. Fuzzy Subtractive Cluster (FSC) methods using the data as a candidate of cluster center, so that duty of computation is hanging on the number of data and is not hang at dimension of data. This study aims is to determine the results of FSC at clustering the district in East Borneo based on wide of the district and total of population in 2015. The result shows there is 8 until 24 districts which have high population density. From validity of cluster, it isfounded that the best result for clustering the district in East Borneo based on wide of the district and sum of citizen in 2015 is 2 clusters, there are narrow district with many citizen and wide district with few citizen.
Analysis and Implementation of Shared Data Synchronization Mechanism in University Information Construction

This paper discusses the key technologies involved in the shared data center in the information construction of colleges and universities from the aspects of data ETL mechanism, Oracle database data synchronization, Oracle transparent gateway, data synchronization through third-party programs and timed data synchronization. - Data synchronization mechanism, introduces the technical principle adopted, and gives specific implementation methods and steps, which has certain reference value for colleges and universities informatization construction practice.
Online Handwritten Kannada Character Recognition and Translation to English

Abstract— The objective of the paper is to develop a technique that can efficiently recognize hand-written characters of Kannada language and then translate the same to English language. Online recognition refers to the processing of the characters as and when it is written on digitizer and recognizes the class which it belongs to. The iball 5540U Pen Tablet is used to collect the handwritten character samples and to build the database. The sensor picks up the pen- tip movements and also the pen-up/down switching. Kannada script consists of 6,23,893 characters. The complexity is reduced from 6,23,893 to 167 by segmentation approach. 50 samples of each character totaling to 8350 samples are used to build the database. Pre-processing technique includes smoothing, re - sampling and normalization. Spatial domain features such as normalized coordinates, normalized trajectory, normalized deviation are extracted from character samples. T he efficiency of character recognition is improved by using various machine learning algorithms.  K-NN with K=1 and 3, SVM, Naive Bayes Classifier are used to recognize the characters. Simulation result reveal a recognition rate of 78.41% using Normalised Coordinate features and SVM. Word translation rate is 92% for commonly used 50 proper nouns with different number of strokes. Key Words: Strokes, Normalized Coordinates, K-NN, SVM, Bayes Classifier. Cite this Article Indira K, Geetha R. Online Handwritten Kannada Character Recognition and Translation to English. Journal of Image Processing & Pattern Recognition Progress . 2019; 6(2): 37–53p.
Graph Matching via Multi-Scale Heat Diffusion

We propose a novel graph matching algorithm that uses ideas from graph signal processing to match vertices of graphs using alternative graph representations. Specilically, we consider a multi-scale heat diffusion on the graphs to create multiple weighted graph representations that incorporate both direct adjacencies as well as local structures induced from the heat diffusion. Then a multi-objective optimization method is used to match vertices across all pairs of graph representations simultaneously. We show that our proposed algorithm performs significantly better than the algorithm that only uses the adjacency matrices, especially when the number of known latent alignments between vertices (seeds) is small. We test the algorithm on a set of graphs and show that at the low seed level, the proposed algorithm performs at least 15-35% better than the traditional graph matching algorithm.
Hyper-spectral Image Denoising Using Sparse Representation

Sparse representation, statistical and probabilistic approach have been used in image processing applications. Here, simple technique is used to denoise Hyper-spectral image by using sparse representation. Main focus is to transform the given image into another form which is combination of dictionary and sparse vector. So, basic statistical methods are used for the updation of dictionary and also for sparse coding. Then, probabilistic approach is used to determine new size of dictionary and this new dictionary is used to achieve denoised image and finally, peak signal to noise ratio (PSNR) is used to measure performance of denoising methods.
Teaching &amp; Learning Guide for: Free verse, historical poetics, and settler time

Literature CompassVolume 17, Issue 8 e12557 TEACHING AND LEARNING GUIDE Teaching & Learning Guide for: Free verse, historical poetics, and settler time Erin Kappeler, Erin Kappeler Tulane UniversitySearch for more papers by this author Erin Kappeler, Erin Kappeler Tulane UniversitySearch for more papers by this author First published: 26 February 2020 https://doi.org/10.1111/lic3.12557Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume17, Issue8August 2020e12557 RelatedInformation
The Study on the Education Service Quality of Airline Service Management of a College Through Kano Model and Timko’s Customer Satisfaction Coefficient

Korea’s population is forecast to begin to drop from 2020 and it is the main concern of colleges to think about their future related to the number of students. The purpose of this research to find out how to improve the education service quality of airline service management of a college in Chung-nam province. Online survey carried out to the students of 225 majoring airline service management. 29 elements for evaluating service qualities are analyzed by Kano and Timko’s customer satisfaction coefficient. Education service quality includes academic administration, education system, physical evidence, and fairness.<BR> After conducting service quality check by Kano model, the One-dimensional quality factor is 26, and the Indifferent quality factor is 3. And Timko’s customer satisfaction coefficient is connected highly with fair treatment by the professor (Better index .851) opposed with the fair score on the exam (Worse index .819). Final results of this research provide theoretical implications and practical implications for college staff or professors who are in charge of recruiting students or maintaining college students.
A Large-Scale Implementation Using MapReduce-Based SVM for Tweets Sentiment Analysis

Sentiment analysis is an interesting area of research due to the availability of sentiment data and opinion-oriented services. The efficiency and scalability of the sentiment analysis applications are important concerns as they expect accurate results in short period of time by processing a large amount of data. An efficient and scalable polarity detection method is proposed in this paper. The sequential minimal optimization with MapReduce (SMOMR) is used to achieve enhanced efficiency as well as scalability. The experiment results reveal that this method outperforms many existing methods.
Migration Issue in Italian Political Discourse: Case of Empirical Study

In this paper, the authors base on comprehensive approach matching quantitative and qualitative study of political discourse in the field of migration. They report an experiment that they conducted, in which a model for the monitoring of the impact of immigration on the Italian political discourse was developed and tested. The model comprises of a program that performs semantic analysis on a collection of retrieved political speeches related to the phenomenon of immigration, given by two key decision-makers for the immigration policies of Italian public administrations: M. Salvini, the current Minister of Internal Affairs in 2018&ndash;2019, and S. Martello, the mayor of the island of Lampedusa. The technique used, the so-called bag-of-words, falls under the established techniques in the sector of natural language processing for the automatic extraction of features from texts. The results obtained by the model were then compared with those accessible through surveys and statistics published by other research on the same phenomenon. Our results are consistent with the findings that derive from the application of other methodologies to the study of immigration. The authors thus believe it might be possible to develop in the future a larger model that allows the monitoring of variations in the attitude towards immigration as a function of the variation in the content of political speeches, and in the results of surveys conducted on the sentiment of the general population on the subject. In its current status, the model allows a data-driven identification of the most prominent factors that influence the minds of political decision-makers with regards to the phenomenon of immigration. In particular, it is determined in the paper whether such factors are primarily socio-cultural or socio-economic factors.
Supporting QoE-Aware Live Streaming Over Peer-to-Peer Network

QoE-aware (Quality of Experience) dynamic adaptive streaming over HTTP in Peer-to-Peer (P2P) networks has attracted researchers during the last decade due to the increasing multimedia applications over Internet. In this paper, we propose a super-peer architecture which can reduce the delay of live streaming as well as increase the delivery ratio. Furthermore, we also propose a rate migration control algorithm over our proposed system model which enhances QoE of clients by switching different video quality versions depending upon their current network status. This model can able to provide different quality versions of the same video as representation, where each representation streams to all super-peers over our proposed multi-overlay system model. The performance of proposed live streaming mechanism in super-peer network is studied through simulation and it is observed that it outperforms state-of-the-art live streaming in peer-to-peer networks.
DC Optimization Based Clustering Algorithms

This chapter is devoted to the clustering algorithms based on DC optimization approaches. The incremental DC clustering algorithm is studied first. Then the DC diagonal bundle clustering algorithm is described. Finally, the incremental DCA for clustering is presented. We provide the detailed descriptions and flowcharts of these algorithms.
Host country factors and international joint venture survival in the Middle East and North Africa

The purpose of this article is to analyze the influence of three host country-specific variables (political risk, cultural distance, level of economic development) on international joint venture (IJV) survival in the Middle East and North Africa (MENA). The authors compiled a database of 124 IJVs established in MENA countries. The findings demonstrate that cultural distance and the level of economic development have an impact on IJV survival whereas political risk does not seem to affect IJV sustainability in this region. The study contributes to the debate about the role of host country factors for IJV survival, indicating that these factors may vary across geographic regions.
KOLEKSI BAHAN PUSTAKA DAN MINAT BACA SISWA TERHADAP KETERAMPILAN MENULIS CERITA NARASI

The purpose of this study is to have three objectives: (1) to determine the effect of the collection of library materials on the skills of writing fiction, (2) to determine the influence of the collection of the influence of reading interest on the skills of writing fiction, and (3) to determine the effect of the collection of library materials and reading interest on writing skills fiction. Sampling uses non-probability purposive sampling type so that the sample is obtained by 27 students. This research is a type of ex post facto research with collection techniques in the form of interviews, document analysis, and questionnaires. The prerequisite tests used were validity and reliability tests. The results of this study indicate that (1) There is an influence of the use of library material collection on the skills of writing fiction, this is needed by rcount> rtable (0.658> 0.381), so that it is significantly accepted; (2) there is an influence of reading interest on the skills of writing fictional stories with the need to calculate r> r table (0.654> 0.381), then the significance is accepted; (3) there is an influence between the use of library material collection and reading interest in the writing skills of fiction in fourth grade students with Ftable for 27 is 3.39, so that Freg> Ftable (50.695> 3.39), the significance is accepted.
Perspective Approach for Security of Biometric Image

The commonplace generation of the digital patterns by the classic watermarking approach has some visible constraints. This paper proposes a significant way to generate a watermarked image using a multimodal biometric system in which a fingerprint and a palm-print biometric of a user has chosen. The generation of a digitally watermarked image is done by using features of both the biometric which has been logically combined to satisfy ownership and is robust indeed. This paper efficaciously resolves the ownership conflict of the host data. The fingerprint biometric image of a user is taken as the host data and its digital watermarked image is fabricated by embedding the palm-print of the same user, which ensures the user's ownership stamp by satisfying the dual authentication. Created watermarked image has been scrutinized through a study for its uniqueness and recognition accuracy. The approach of the proposed algorithm is to make the watermarked data reliably invulnerable while dispersing it in the shared database. Singular value decomposition (SVD) algorithm has been practiced to inculcate the palm-print watermark in the fingerprint image. Outcomes of experimentations evince that the watermarked data is qualified to endure the triggered image processing attack and keep the perceptual properties of data unvaried. The achievement of this work is its rate of perceptual transparency and robustness of the watermarked image.
A Study on the Strategies of the Reverse Mission For Foreign Student in Korea

This study is on the reverse dispatch mission strategy of foreign students studying at the graduate school of Seoul Christian University (SCUGS). First of all, this study examines the factors affecting missionary environment and focuses on the correlation between psychological factor, social factor, faith factor and personal vision factor on mission strategy. It is also meaningful that it can be a virtuous paradigm for missionary strategy to maximize the point of contact by establishing a Korean language school in Southeast Asian countries, establishing a link system with SCUGS, seeking situational awareness and long-term missionary strategies, supplementing and correcting problems of local missionary work, and sending back to the country.
Unsupervised Detection of Dispersion and Merging Activities for Crowded Scenes

Continuous monitoring and automatic detection of specific crowd activities such as dispersion and congestion; is extremely helpful for management at public places to avoid any possible disaster. Analysis of crowded scenes is a critical issue as it typically involves the poor resolution of objects, occlusions, and complex dynamics. In this paper, we propose a systematic, novel, and unsupervised method based on global motion analysis of people, to detect dispersion and merging events in crowded scenes. We avoid tracking of individual person as well as the use of any trained classifier while detecting the event. Our approach is tested on standard datasets as well as our own dataset. The results show the efficacy of our approach.
Investigating the relationship between earthquakes and online news

News agencies have the leading role of deciding what coverage is given on earthquakes. This study exploits the use of text mining tools to automatically map in near real-time earthquake events with newspaper articles. An application was developed to automatically download multilingual news articles published by 23 leading news agencies in real-time from six continents around the world. Articles discussing earthquakes are then identified; clustered using TF-IDF and cosine similarity; and processed for information extraction. Earthquake-related features that are mined include the magnitude, location and timestamp from the corresponding news reports, as well as the number of casualties, injured and structural damage caused. Cluster information extraction is also carried out for crossreferencing purposes. Each cluster is then mapped against earthquake events, aggregated from seismic readings stored by United States Geological Survey (USGS). The results are visualised on two dashboards and complemented with a series of tests evaluating the accuracy of the extraction of information and clustering of data, followed by conclusions and recommendations for future work in this domain area. This tool paves the way for a more in-depth analysis on the possible temporal correlation (how long the disaster and its effects remain discussed in the news) and spatial correlation (geographical distance between news sources reporting the event and the location of the disaster itself) that may exist between newspaper articles and earthquakes.
Some Aspects of the Process of Increasing the Level of Competitiveness of Graduates in the Labour Market

The relevance and novelty of the work lies in its innovative approach to the interdisciplinary use of the factor as the tool of realization of the process of convergence, interpenetration and interconnection of disciplines with a view to producing competitive specialists with higher education with the necessary level of professional skills demanded on the labour market.&#x0D; Purpose: proposal for the development of modern technologies for the introduction of interdisciplinary connections in the learning process in universities. Materials and methods: theoretical and practical developments on the basis of Academy of Public Administration and Russian University of cooperation. The result of the work: formation of certain amendments to the approximate educational programs using the interdisciplinary factor.
USING GUESSING WORDS IN TEACHING NARRATIVE TEXT  TO IMPROVE READING COMPREHENSION  OF THE ELEVENTH-GRADE STUDENTS

The title of the research is “Using Small Guessing Words in Teaching Narrative Text to Improve Reading Comprehension of the Tenth Grade Students”. The problem in this research was formulated into a question: “Is it effective to improve students reading comprehension using Guessing Words from the Context to the eleventh-grade students of SMA Negeri 9 Palembang?” The Objective of this research was to find out whether or not it is effective to improve students’ reading comprehension using Guessing Words from the Context to the eleventh-grade students of SMA Negeri 9 Palembang. This research used the design of the quasi-experimental method. Researchers collected the data by using a written test. The result of the research was the students’ score in the experimental and the control group (value of t-obtained) using independent sample test was 4.341, it was higher than the critical value 2.000, at the significant level p<0.05. It was effective to improve students’ reading comprehension using Guessing Words from the Context to the eleventh-grade students of SMA Negeri 9 Palembang.
Extension of Cube Attack with Probabilistic Equations and its Application on Cryptanalysis of KATAN Cipher

Cube Attack is a successful case of Algebraic Attack. Cube Attack consists of two phases, linear equation extraction and solving the extracted equation system. Due to the high complexity of equation extraction phase in finding linear equations, we can extract nonlinear ones that could be approximated to linear equations with high probability. The probabilistic equations could be considered as linear ones under some noises. Existing approaches to solve noisy equation systems work well provided that the equation system has low error rate; however, as the error rate increases, the success rate of finding the exact solution diminishes, making them rather inefficient in high error rate. In this paper, we extend Cube Attack to probabilistic equations. First, an approximation approach based on linear combinations of nonlinear equations is presented to find probabilistic linear equations with high probability. Then, we present an approach to improve the efficiency of current solving approaches and make them practical to solve high error rate linear equation system. Finally, utilizing proposed approaches, we find the right key under extended noisy equation system with lower complexity in comparison to the original Cube Attack.
A novel virtual resource pricing policy based on game model in federated clouds

In recent years, more and more cloud providers are unified together to form a federated cloud market, where a suitable pricing strategy plays a key role to help they attracting more users. However, many existing pricing policies can not deal with the competition between different cloud providers. In this study, we take efforts on the resource pricing policy in federated cloud market. To obtain an optimal pricing scheme among multiple IaaS providers (ISPs), we firstly use the learning curve model to model the production supply behaviours of ISPs, and then we use a standard Markov decision process to describe the pricing game model and present an efficient algorithm to solve this game model in a distributed manner. The proposed pricing model has been fully investigated and evaluated in a real-world federated cloud platform, and the results indicate that it can significantly improve the profits of ISPs comparing to several existing pricing mechanisms.