Reviewerly/exHarmony huggingface dataset:
A Malicious Webpage Tracker System: To recognize Harmful Website

A technique used to indicate diverse substance relying upon conditions reflecting who is visiting the site is Cloaking. In this situation, Cloaking can be effectively utilized by malware scholars to abstain from being distinguished when the malwarerecognizing crawler visits a specific site. We have seen a malware that checks if pictures have been effectively stacked before executing its attack. As needs be, existing methods to distinguish vindictive sites are probably not going to work for such website pages. In this paper, we structure and execute malicious webpage tracker system, it a mechanism that recognizes harmful and benign mobile website pages. MWPT makes this assurance dependent on static highlights of a page going from the quantity of frames to the closeness of realized fraud telephone numbers. At last, we developed an extension of a web browser which utilizing MWPT to protect clients from harmful mobile sites continuously.
Comparison and Fusion Research of Graduate Training between China and France in the Double First-Rate Background

Research on graduate training between China and France are made in the paper. Aiming at the problems in training goal, speciality characteristics and teaching method, measurements which can be taken are presented associating with Chinese situation and French education. It is verified that the methods are practical and feasible.
The Effect of Intonation Diagram on Results of Reading Aloud Learning for Students of Arabic Educational Language, Universitas Negeri Jakarta.

The aim of this research is to know the effect of intonation diagram on results of learning reading aloud for students of Arabic Educational Language Study Program, Universitas Negeri Jakarta&#x0D; The used method for this research is an experimental method, and the samples were taken from the students of Arabic Educational Language 2018 from class A, B, C, and D. The population were 108 students, 56 students in an experimental group, while 52 students in control group&#x0D; The researcher found a positive effect after doing the research of the learning results on reading aloud on students of Arabic Educational Language with intonation diagram. The conclusion of this research based on this final data: The test results show that the value of T calculated obtain from 0,05 is (3,3) and the value of the T table (1,685) for the degree of freedom (dk=106). Because of the obtained T calculated bigger than the value of the T table, then the hypothesis is 0 (H0) rejected and the research hypothesis (H1) accepted.&#x0D; Based on the data, it shows that the effect of intonation diagram on reading aloud learning has a positive effect on Arabic Educational Language Study Program, which is one of the learning media that can improve the reading aloud learning of Arabic Educational Language Study Program students.
High Speed Multi-level Discrete Wavelet Transform using Canonic Signed Digit Technique

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Full reference video quality evaluation using foveated vision and multiple fixation points

In video applications it is necessary to continuously measure the video quality perceived by the end-user. Thus it is desirable to know which parts of video frame, i.e. which contents, attract viewers’ attention. If this information is known, then it is possible to estimate perceived video quality in a meaningful way. However, automatic detection of viewers’ fixation points is time-consuming process and often is omitted in objective video quality assessment (VQA) metrics. Based on our previous work, in which we proposed Foveation-based content Adaptive Root Mean Squared Error (FARMSE) VQA metric, in this work we propose two new full-reference (FR) VQA metrics called Multi-Point FARMSE (MP-FARMSE), and Simple-FARMSE (S-FARMSE). Both new-proposed metrics are based on foveated-vision features of human visual system and spatio-temporal features of video signal. In MP-FARMSE, by using an engineering approach, we implemented the fact that viewer’s attention can be directed out of the center of the frame, thus covering use-cases when objects of interest are not located in the center of the frame. The main idea when creating the S-FARMSE metric was to reduce the computational complexity of the final algorithm and to make S-FARMSE metric capable of processing high-resolution video signals in real-time. Performances of the new-proposed metrics are compared to performances of seven existing VQA metrics on two different video quality databases. The results show that performances achieved by MP-FARMSE and S-FARMSE are quite close to those of state-of-the-art VQA metrics, whereas at the same time their computational complexity level is significantly lower.
Prediksi Nilai Tukar Dollar (USD) ke Rupiah (IDR) menggunakan Artificial Neural Network

Prediction (forecasting) is the activity of predicting events in the future. In terms of business forecasting has many uses, especially for the leadership of the company one of them i.e. to define its business strategy in the future. In this research, carried out the predictions of exchange rates dollar (USD) to Indonesian rupiah (IDR) on 11/03/2019 - 15/03/2019 using artificial neural networks (ANN) with a training dataset from 01/01/2018 - 08/03/2019. Establishment of ANN in the study formed in the Python programming language. Based on the research conducted, a decrease in the price of the exchange rate of USD to IDR on 11/03/2019 – 15/03/2019.
METHODOLOGICAL GUIDANCE FOR TRAINING INTENDING MATHEMATICS TEACHERS TO IMPLEMENT VALEOLOGICAL SUPPORT IN THEIR TEACHING ACTIVITY

The article deals with the relevance of the problem of preserving and strengthening the health of younger generation. Training requirements to be a secondary school teacher, like building readiness for their health, preserving education, preserving and strengthening the students’ health while teaching, building a healthy lifestyle are analyzed. In modern conditions of the information society, the teacher training courses should provide more integrated psychological, teaching and valeological knowledge, skills and abilities, the teacher’s basic competencies for the effective organization of teaching and health care activities. The methodological guidance of the teacher training process is of great importance for the implementation of these tasks.Therefore, the obligatory condition for the professional activity of the mathematics teacher is precisely the implementation of valeological support for teaching students mathematics, the availability of appropriate methodical support. It is noted that by the methodological guidance for training the intending mathematics teachers, the author understands a set of materials: normative documents, work programs, professional journals and periodicals, textbooks, teaching aids, electronic guides, which are aimed at successful learning process. The peculiarities of the use of the developed teaching manual and the electronic manual in the learning process are described.It is noted that from the availability of methodological guidance in training intending mathematics teachers to providing valeological support for student learning, building students’ skills and abilities in the use of health-saving technologies, the use of forms, methods and tools aimed at building and preserving a healthy lifestyle of students.
Unexplored BACTERIAL DIVERSITY OF Rajapur-Unhale HOT SPRING, Ratnagiri DISTRICT, Maharastra, India- A Gold STANDARD AND Maldi-Tof BASED APPROACH

In our study sediment and water samples was collected from the Rajapur-Unhale hot spring having 42 O C temperature.This study aimed to explore the unexplored bacterial diversity within the Rajapur-Unhale hotsprings.Fifty five isolates were obtained from both sediment and water samples were subjected to MALDI-TOF identification, were able to identify 15 isolates and most of the isolates which was not identified by direct cell loading method but was identified using ethanol/ formic acid extraction method and others gave not reliable identification with both the methods.For identification of bacterial species and genera, the sequencing centered on 16S rRNA is most extensively used and accepted to categorize them phylogenetically.Whereas, 16S rRNA gene sequencing based identification could able to identify all the 55 isolates.This study shows the clear picture that the MALDI-TOF database needs to be updated with environmental isolates for effective and appropriate identification.
Quality-Diversity Summarization with Unsupervised Autoencoders

This paper introduces a novel perspective on unlabeled data driven technology for extractive summarization. Because unsupervised autoencoders, combined with neural network language models, help to capture deep semantic features for sentence quality, we propose to integrate autoencoders with sampling method based on Determinantal point processes (DPPs) [1] to extract diverse sentences with high qualities, and generate brief summaries. The unique fusion of unsupervised autoencoders and DPPs sampling has never been adopted before. We illustrate the advantages of this attempt against statistics based approaches through experiments in multilingual environment for single-document and multi-document summarization tasks. Our algorithms evaluated with ROUGE F-measure [2] obtain better scores in several varieties of languages on MMS-2015 dataset and MSS-2015 dataset.
Teaching Reform of Computer Application Basis Based on Blended Learning

Blended learning is an organic combination of online learning and traditional face-to-face classroom learning, and it is one of the research hotspots and important development directions of university teaching reform.On the basis of sorting out and analyzing the current situation of computer application basic course teaching in our university, this paper constructs a task-based blended learning model, and carries out teaching practice based on this model with the help of online course platform of computer application basic.Finally, the article takes the learners of the course as the object of investigation and makes a brief analysis of the teaching effect of the model.
The Harmonizations of Professor to Odessa State Conservatoire S.Orfejev Stepjenns and Prokimens for the Religious Service

The purpose of the article is a study written for church Religious service of harmonizations of canonical melodies, realizable professor, rector to Odessa state conservatoire S. Orfejev, which composer creative activity ate his participation in church divine service practical person writing the music, especially of the temple destination. The methodology of the work is the intonation approach of the school B.Asafiev in Ukraine. The base place occupies the method of the genre-style comparative analysis, hеrmеneutics method, as well as positions performance analysis, as this is presented in works of V.Medushevskiy, E.Markova, as well as in work of S.Skrebkov and others. The scientific novelty of the study is determined to appeal to carried in musicology typology analysis, in which not author's unique of work, but executed on canon creative variants given expressive typology forms the sense artistic-aesthetic presentation of the music. For the first time information is incorporated in the scientific everyday life of Ukraine about harmonization by composer S.Orfejev of canonical melodies to temple Services. Conclusions. The analysis of the harmonizations made by S.D. Orfeev demonstrated a high ability to typologically express the ideas-images of music set by the Service, defining the cant-partisan style character of the invoice. An individual perspective of the typological presentation of harmonization is found - by relying on N. Leontovich's "Palestinian", by drawing on bar-form effects both by organizing individual Power (in the first voice) and by defining the compositional alignment of this kind in the recording of Power and Prokymen. The harmony of the typological correlations is obvious - individualized by the Orfeev-composer, defined by high education, inherited from the family and the first professors of the Odessa Conservatory, professionalism and regency skills, finally, the fullness and sincerity of the Orthodox Faith.
The Hybrid Approach for Sentimental Analysis of Twitter Data

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
SSM-Based Joint Dictionary Learning for Cross-View Action Recognition

Human action recognition is a central problem in many visual intelligence applications, such as video surveillance, clinical care and ambient-assisted living. However, the same action is variable under different viewpoints, and the self-similarity matrix (SSM) methods get worse when the viewpoint changes greatly. In this paper, we propose a novel approach, referred as SSM-based joint dictionary learning (SJDL), which can obtain more discriminative features for cross-view action recognition. The approach learns a set of view-specific dictionaries for each view to align the view-specific sparse representations and a common dictionary shared by all views to obtain view-shared sparse representations. Those dictionaries are learned by enforcing sparse representations of different views to have concise and similar patterns. The superior performance of SJDL is demonstrated by experimental results on the IXMAS dataset.
The Instructional Development of Reading Material Based on Literacy with Local Culture in Indonesian Learning

This study aimed to find out: (1) the process of developing literacy-based reading material with local wisdom in Indonesian language learning (2) the feasibility of literacy-based reading materials containing local wisdom in Indonesian language learning and (3) the effectiveness of charged literacy-based reading materials local wisdom in learning Indonesian.The subject of this study was three validation experts, and the fourth-grade students of State Elementary School (SD Negeri 014727 of Perupuk) consisted of 24 students.This research was a development research using the ADDIE development model.The results of this study indicate that (1) the process of developing reading teaching materials includes 5 steps, namely: analysis, design, development, implementation, evaluation, (2) reading-based teaching materials local wisdom literacy was feasible to use, (3) reading teaching materials based on local wisdomcharged literacy were effectively used.
An Effective Pipeline for Pedestrian Detection in Mid-High Density Crowd

A novel framework is introduced to handle the pedestrian detection in mid-high crowd density. This framework exploits the samples obtained with the unsupervised approach, extracts the combined pattern of Histograms of Oriented Gradients (HOG) and Local Binary Pattern (LBP) for the training and detection. The motion information is utilized to adjust the confidence score of detect annotation, and the soft-NMS is used to handle the balance between the removing of redundant annotation and occlusion. The experiments indicate the proposed approach achieved a promising result compared to state-of-the-art trained with the benchmarking dataset.
Automatic Fill in the Blank Question with Distractor Generation Using NLP

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
The Method for Semantic Similarity Based on Concept Distance

Semantic matching is an important problem of service discovery.In order to find effective services, a method for semantic concept similarity is proposed.The method calculates the concept similarity between the parameter concepts of services by directly using the distance relationship between the concept nodes in the classification tree.And uses the nonlinear function to calculate the similarity and redefine the concept-based similarity between concepts.The new method effectively solves problems in existing algorithms and further improves precision.Finally, theoretical analysis and experimental result reveals the validity of the proposed method.
A Passing to Note and an Update on MTT-S Technical Committees [President's Column]

Presents the President’s message for this issue of the publication.
Analisis Laju Pembelajaran dalam Mengklasifikasi Data Wine Menggunakan Algoritma Backpropagation

Backpropagation is an artificial neural network that has the architecture in conducting training and determining the right parameters to produce the correct output of similar but not the same input. One of the parameters that influences the determination of bacpropagation architecture is the rate of learning, where if the value of the learning rate is too high then the network architecture becomes unstable otherwise if the value of the learning rate is too low the network architecture converges and takes a long time in training network architecture. This research data is secondary data sourced from UCI Data Mechine Learning. The best network architecture in this study is 13-10-3, with different learning rates ranging from 0.01, 0.03, 0.06, 0.01, 0.13, 0.16, 0.2, 0.23, 0.026, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.9. From the 21 different learning rate values in the 13-10-3 network architecture, it is found that the level of learning rate is very important to get the right and fast network architecture. This can be seen in experiments with a learning rate of 0.65 can produce a better level of accuracy compared to a learning rate smaller than 0.65.
Theoretical aspects to the study of state assistance of professional adaptation of young specialists in the system of continuing education

В. В. Колесніковааспірантка ДВНЗ «Університет менеджменту освіти» Національної академії педагогічних наук України Consequently, modern labor tendencies will help young professionals to better disclose their potential, skills and abilities and will respond to European trends in the system of continuing education.Summarizing the results of the study gave grounds for outlining the recommendations for updating the Ukrainian system of state promotion of professional adaptation of young specialists.
Evaluating Collaboration Ability of R&amp;D Team Members: A Multi-Granular Hesitant Fuzzy Linguistic Approach

Evaluating each member's collaboration ability in an R&D team is of vital importance for senior managers to improve the team performance for R&D activities.Due to the difference in knowledge and education background, each team member usually tends to use multi-granular hesitant fuzzy linguistic term sets to elicit their assessments over team members who have working relationship with him/her with respect to each criterion.In this paper, a multi-granular hesitant fuzzy linguistic approach is developed to evaluate the collaboration ability of R&D team members.In the proposed approach, all the individual multi-granular hesitant fuzzy linguistic assessments provided by each team member with respect to each criterion are first transformed into their fuzzy envelopes and then aggregated to obtain the overall assessment of each team member's collaboration ability, which are in the form of trapezoidal fuzzy numbers.By ranking the trapezoidal fuzzy numbers, the collaboration ability of team members can be ranked.The evaluation values are also transformed into multigranular hesitant fuzzy linguistic term sets to provide interpretable results about each team member's collaboration ability.Finally, a numerical example is presented to illustrate the proposed approach.
APLIKASI INDONESIA SATU: DIGITASI MULTIKULTURAL INDONESIA ALTERNATIF MEDIA PENGUATAN PENDIDIKAN KARAKTER BANGSA

Indonesia has much cultural diversity which not all are known and understood by Indonesian themselves. So that instead of strengthening the nation character's identity, sometimes this will only weaken the nation's character. Therefore, it is deemed necessary to develop Indonesia Satu application. Namely, mobile-based applications that integrate cultural diversity in Indonesia by combining Augmented Reality (AR) technology. This application was developed by referring to the waterfall model. The Indonesia Satu application has also gone through a black-box testing method based on system testing, performance testing, installation and load testing also easy use testing. The test results show, in general, this application has been feasible for used. However, for further development, we need to consider data storage so that this application can be optimized.