Reviewerly/exHarmony huggingface dataset:
Research on Acoustic Model of Speech Recognition Based on Neural Network with Improved Gating Unit

In the traditional speech recognition system, the speech acoustic model based on the recurrent neural network has limited ability to store long-distance historical information, and it is difficult to use the contextual relevance information of the speech. The standard long short-term memory has large scale, and the neural network training convergence speed is slow. To solve the above problem, this paper proposes a speech recognition acoustic model based on the bidirectional recurrent neural network with improved gated loop unit. Using the ReLU activation function instead of the hyperbolic tangent function, combined with the batch normalization method, helps the model to learn the long-term dependence of the network and maintain the stability of the output value. The appropriate network orthogonal initialization parameters further reduce the network training time and enhance the robustness of the acoustic model. Experimental results on the TIMIT and LibriSpeech datasets show that the improved gating recurrent unit model has a 2.8% absolute phoneme error rate reduction compared to the baseline system, compared to the standard long short-term memory model, the average iteration period of neural network training is reduced by 16.6%, which improves both recognition performance and computational efficiency.
Can We Talk about the Fall of Science?

The article analyzes the pessimistic scenario in relation to science, which characterizes contemporary science as regressing. It is shown that pessimism in relation to contemporary science is largely based on the formal-logical positivist image of science, which does not correspond to real scientific practice. It is shown, that postpositivist studies of science testifies in favor of the fact that science has never been “pure”. This approach allows us to rehabilitate technoscience and revise the pessimistic scenario.
RESEARCH ON HARMONIZED HUMAN-COMPUTER INTERACTION DESIGN FOR PRESCHOOL EDUCATION FOR CHILDREN

How to effectively construct a preschool education method for children with good emotional interaction and human-com puter interaction, and to raise children's cognitive ability, beh avior habits, and establish a correct outlook on life through hu man-computer interaction is a matter of rapid development of information technology.problem.Through the analysis of the harmonious human-computer interaction design in children's preschool education tools, this paper proposes a research on h uman-computer interaction mode for children's preschool edu cation, which will provide a more effective and harmonious h uman-computer interaction mode for children's preschool edu cation.
Toward Detecting Malicious Activities in Online Social Network through User Behavior

Social networks consist of context-sensitive and relational data while also including a considerable amount of malicious content. It has turned out to be troublesome to clarify the genuine semantic estimation of distributed substance for the identification of client practices. Without comprehension the logical foundation, an integrated social media content analysis platform that leverages three levels of features, i.e., user-generated content, social graph connections, and user profile activities, to analyze and detect anomalous behaviors that deviate significantly from the norm in large-scale social networks. Several types of analyses have been conducted for a better understanding of the different user behaviors in the detection of highly adaptive malicious users. In the proposed method, propose a directed graphs, to detect fraudulent users in OSNs. In this, given a training dataset we estimate the posterior probability distribution for each user and uses it to predict a user's label.I.
BENTUK TES TOEFL UNTUK MAHASISWA UNIVERSITAS KALTARA: STUDI KUALITATIF

TOEFL is one of the tests used to measure a person's level of English with three forms of tests, namely (1) listening comprehension, (2) structure and written expression, and (3) reading comprehension. In addition to being used as a requirement when applying for a job, the test is also used by students for the purpose of college or as a condition for graduation. However, there are several universities that do not carry out these tests, one of which is Kaltara University. This study aims to describe kinds of TOEFL tests which are able to work by Kaltara University students. The research method used is qualitative. This study uses data collection techniques, namely: (1) observation, (2) interviews, and (3) document analysis. The data analysis techniques used are Miles and Huberman Models. The results of this study indicate that (1) the hardest test done by the students is listening, meanwhile the easiest test done is structure and written expression; and (2) the ability of Kaltara University students had an average TOEFL score, 460 which was categorized as a minimum standard. Therefore, there needs to be an increase in TOEFL scores for Kaltara University students.
Email Android Based QR File Downloader

QR-code Based System for Library Management System QR code (Quick Response Code) is the trademark for a type of matrix barcode (or two-dimensional barcode) first designed for the automotive industry in China. A barcode is a machinereadable optical label that contains information about the item to which it is attached. A QR code uses four standardized encoding modes (numeric, alphanumeric, byte / binary, and kanji) to efficiently store data; extensions may also be used. The QR Code system has become popular outside the automotive industry due to its fast readability and greater storage capacity compared to standard UPC barcodes. A QR code consists of black modules (square dots) arranged in a square grid on a white background, which can be read by an imaging device (such as a camera) and processed using Reed-Solomon error correction until the image can be appropriately interpreted. The required data are then extracted from patterns present in both horizontal and vertical components of the image. In this project we will be using QR codes for data analysis and data mining on different sectors of marketing.
ELICITING USER REQUIREMENTS FOR CRITICAL COMMUNICATIONS IN PUBLIC SAFETY USING ACTIVITY THEORY AND SYSTEMISM

The decision to adopt a technology is a problem that includes different aspects of information.This view, considering not only the technical aspects, but also economic factors and social context, is the definition of Technological Assessment (TA).This work is an applied exploratory research based on primary and secondary data.It focuses on user requirements capture based on understanding the activity system's context and user-related task analysis as a resource for developing or adjusting the Critical Communication (CC) systems used in Public Safety (PS).The collected was analyzed data with the worldview of Systemism, which considers that everything is either a system or a component of a system, and every system has peculiar properties.This work also proposes a system characterized by their mechanism, using the construction logic of Composition-Environment-Structure-Mechanism (CESM) to represent the problem.Starting from a theoretical framework regarding resource information on Activity Theory (AT) and Usability, in order to identify methods of data collection for generating information on user requirements, and Systemism in order to build a System, this work aims to improve Human Computer Interaction (HCI) design through user requirements to support the development or improvement of a computer system regarding the activities developed by CC users in the field of Public Safety.
MOG - A SMARTMOBILE SYSTEMFOR INTERACTIVE MUSEUMVISITS

In this work we propose an integrated system to manage and enhance the museums visiting experience for the general public, providing a more comfortable, intelligent and interactive way to visit multiple museums without the need for several mobile applications, whilst giving a tool to museum curators that allows them to easily manage and extend the content displayed to each individual visitor.For that purpose, our approach was to develop a single mobile application, a module to an open-source Content Management System (CMS), namely Drupal 8, and incorporate location information inferred by the capture of BLE's signals (beacons).The proposed prototype features an Android application that will be used by the visitors where they can access the available information about several museums, and combined with BLE's, will display information about the museum and spaces of the museum where the visitor is (or is planning to visit).This application gives the option to choose from several languages that are provided and managed by each museum.
DETEKSI DAN PREDIKSI TRAJEKTORI OBJEK BERGERAK DENGAN OMNI-VISION MENGGUNAKAN PSO-NN DAN INTERPOLASI POLYNOMIAL

In the Indonesian wheeled soccer robot competition in one team consists of three robots, where one robot is a goalkeeper. In the competition the movement of robots and balls is very dynamic. So that a method is needed to predict the movement of the ball so that the goalkeeper can anticipate the movement of the ball. In this research the ball detected by digital image processing and Particle Swarm Optimization-Neural Network (PSO-NN) is used as a calibration model for object distance through omnidirectional cameras. The interpolation approach of the polynomial curve is used to obtain estimates of the model from two-dimensional data from detected objects. The results showed that the distance conversion in object detection with the PSO-NN model obtained 0.13% in percentage of average squared error (PMSE) measurement and 20% in an average prediction error.
On the way to the problem of "Semantic Web – Data Base"

The present state of the problem of "Semantic Web – Data Base" is analyzed. "Semantic Web" is analyzed from the standpoint of the integration approach, covering the results of research in the fields of neurophysiology, psychology, philosophy; it allows to formally define the quantum of knowledge as a separate situation of the visual level and clearly define the scheme of its verbalization in the form of a basic semantic-syntactic structure. The main result of the integration approach is presented by the following thesis: “The structural level of the linguistic organization is derived from the structural and functional level of the neural organization of the visual path”. From here we have a productive conclusion: the structural and functional level of the language organization will be the same for all languages. The second component of the "Data Base" covers (should cover) the entire social cognitive potential of knowledge, presented by a plurality of accumulated texts. The structured level of knowledge base organization is presented by a very small fragment of the neural network, which reproduces a separate situation of text information, but which, through a plurality of separate tokens, of its constituents (with corresponding references to other structural formations) forms a practically cognitive neural network of a certain knowledge area.
University of Tartu’s Multilingual Multi-domain WMT19 News Translation Shared Task Submission

This paper describes the University of Tartu's submission to the news translation shared task of WMT19, where the core idea was to train a single multilingual system to cover several language pairs of the shared task and submit its results.We only used the constrained data from the shared task.We describe our approach and its results and discuss the technical issues we faced.
ENHANCING SECURITY USING KEYSTROKE DYNAMICS

The uniqueness and usefulness of keystroke dynamics is an authentication measure using the typing rhythm of the user.A measure to incorporate keystroke dynamics in daily authentication systems has not been made.User's identity is analyzed using keystroke through their way of typing on a computer keyboard.Keystroke is a genuinely software centric solution and can be used for long samples of text which further can be used to increase the robustness of the method.Keystroke dynamics is an underappreciated system and can be used extensively as a robust authentication tool either individually or as a hybrid system.Knowing the cost effectiveness and efficiency we discovered that a much better use of keystroke analysis for authentication needs to be used.We also introduce keystroke dynamics based authentication and present distance metric or scoring based machine learning models.The proposed work develops a Key logger to record the keystrokes of the user and stores it.A custom built feature extractor for extracting features from key logger data is developed and also incorporates different classification models to classify and measure the similarity.Finally authentication of the user is done based on the results.
Pembelajaran Bilingual English for Health Berbasis Bahasa Ibu Bagi Guru PAUD Kota Semarang

Implementation of Community Service is carried out in the form of training activities, workshops and field assistance which is divided into four stages in a systematic and continuous manner. In phase I, material will be delivered which includes: (1) Social and Emotional Health; (2) Nutrition and Fitness; (3) Safety, first Aid, and Injury Prevention; and (4) Disease Prevention and Control, (5) Techniques for preparing lesson plans on bilingual learning in health and nutrition education for early childhood that can be applied during the teaching and learning process for approximately 30 minutes, at least once a week. Phase II is training in preparing RPP about bullying. Phase III is Peer Teaching Practice and Phase IV is the Discussion and Self-reflection stage. The main aim of this Community Service is that PAUD teachers and staff can implement and implement bilingual learning programs in health and nutrition education in their respective schools so that PAUD teachers and staff can provide healthy living choices while also teaching children to make healthy life choices for them. . The methods used in the implementation of this program include training, lectures, questions and answers, and discussions, teaching practices and worksheets that are the output of participants from this training.
Automatic Identification of Communication Signals Using Zero-Crossing Based Techniques

The identification of different types of modulation for any intercepted communication signal out of the vast hierarchy of possible modulation types is a key fundamental before advising a suitable type of demodulator, where this process is usually a manual option. This technique is extremely important for the purposes of communication intelligence. In this paper, a proposed methodology is suggested, validated, and tested (through computer simulations) for the automatic identification of the modulation type (analog and digital) of the intercepted communication signals. The methodology is based on the zero-based representation of signals and utilization of new algorithms for such identification.
A Research Paper on Data Storage and Security in Cloud Computing

cloud computing has been envisioned as the next generation architecture of IT enterprise. Cloud computing moves the application software and data bases to the large data centers, where the management of the data and services may not be fully trustworthy. This poses many new security challenges which have not been fully implemented. In this paper, we mainly focus on aspects for providing security for data storage in cloud, also architecture for data storage that are implemented by other service providers vendors in cloud, key points for proving security for data storage.
MEDIA PEMBELAJARAN BERBASIS IT SEBAGAI INOVASI PEMBELAJARAN PADA JENJANG TAMAN KANAK-KANAK (STUDI KASUS GURU TAMAN KANAK-KANAK MUSLIMAT NU MASLAKUL HUDA)

The purpose of this research was to determine the improvement of the ability of kindergarten teachers in the preparation of learning media, and to improve the ability of teachers to innovate in developing information technology(IT)-based learning media. The problem in education in kindergarten lies in the ability of teachers in teaching and learning activities in which teachers teach without developing their abilities in developing learning media used, the lack of teachers' ability to use computers, and lack of willingness to improve creativity in providing learning media.This research uses a classroom action research (CAR) model with a collaborative model between the cycle models developed by Kemmis and Taggar. The results of this study indicate that there is an increase starting from the initial research activities there is a percentage of the ability of teachers in developing learning media is equal to 49.62%, the percentage of teacher completeness is 23.08%.Finally, in the second cycle there was an increase in the percentage of the teacher's ability to develop learning media at 91.54%, the percentage of teacher's completeness was 100%. the improvement of teacher information technology competencies can stimulate teachers to innovate in developing learning media.&#x0D; &#x0D; Kata kunci: Learning Media, Kindergarten Teachers, Information Technology.
Mathematical improvement of the Lee’s 3D skeleton algorithm

3D skeletonization is one of the most used techniques for the recognition and tracking of objects. One of the best-known algorithms is the one developed by Lee et al. in 1994, being perhaps the most used in plant phylogeny since it is implemented in ITK, Matlab and ImageJ platforms. However, this algorithm has some deficiencies that do not allow in several cases to obtain a topologically complete skeleton. This article presents a mathematical description of the method, the causes of its error and a topologically justified correction. Some improvements in its implementation are also presented, making the algorithm more efficient.
Hyper-Laplacian priors combined with rotating pupils for image restoration in sparse aperture systems

A hyper-Laplacian can model the heavy-tailed distribution of gradients in natural scenes well, which have proven effective priors for deconvolution and denoising. However, because of missing point spread function (PSF) information in the two-dimensional spatial domain of optical sparse aperture (OSA) systems, a hyper-Laplacian prior of single exposure cannot recover the missing information of images. The main focus of this paper is on combining hyper-Laplacian priors with a pupil and its rotated pupils to compensate PSF information and improve the image quality in OSA systems. A scheme of rotating the pupil that has double apertures is analyzed. The cost function relative to multiple degraded images and PSFs obtained by rotating the pupil is established. The alternating minimization algorithm consisting of two phases is implemented to acquire restored images. In one phase, the non-convex part of the problem is solved. In the other phase, the fast Fourier transforms (FFTs) are used to solve a quadratic equation in the frequency domain. Using the peak signal-to noise ratio (PSNR), a quantitative analysis is provided. Simulation results show that hyper-Laplacian priors combined with rotating pupils can restore images better than a hyper-Laplacian prior of single exposure in an OSA system. Taking spoke-square image as the test image, the PSNR is 28.34 dB with two rotations and 23.52 dB without rotation. Moreover, the numbers of rotating the pupil that lead to different changes of the image quality are demonstrated.
A Study of Measuring the Effectiveness of the Questionnaire among Physical Education Users

The current work is based on drawing data from users' responses against a set of questions.which consists of academic population from universities.The student population and faculty members and staff of the University of Malayer city using random cluster sampling method as statistical sample in this study after examine content validity in order to examine the construct validity exploration factor analysis and for examine reliability Cronbach alpha and for data analyzing SPSS software version were used.According to factor analysis the sport participation questionnaire of members of academic staff were distributed in 8 items which consisting of Psychological, family, social, cultura), administrative, facilities and economical factors.The reliability of questionnaire was calculated as 0/904 by using Cronbach's alpha correlation coefficient.The administrative factors (3.02±1.02),economical factors (2.96±1.00),facilities factors (2.76±0.96),and social (2.55±0.84)were the most important problems of sports participation of faculty members and university staff.The findings of this work give rise to the responses from a set of questions based on questionnaire which provides a correct yardstick for identification of physical education exercises among the selected target population.
3 Steps Writing Strategy: Imitating-Reworking-Developing to Attract Interest in Writing Descriptive Writing in Improving Students Writing Ability

This study aims to find out whether 3-step-writing strategy could have a significant impact on the students 'writing results in descriptive writing and also to find out whether there is an impact of the interaction between 3-step-writing strategy on students' writing interest. The population in this study were Law Faculty students in the 2017-2018 academic year with a total of 25 students. In this study, sampling using purposive techniques that took two classes as samples and divided into two groups, namely: Experimental Group and Control Group. The Experimental Group learned to Write Descriptive by using 3-step-writing strategy. Data was collected by conducting tests (pre and post-tests) and questionnaires. The data obtained were analyzed using the T Test and Two-Way Anova Test with the help of the SPSS 22 Program. It showed significant different on students` English Writing achievement from pre-test to post-test and also from experimental and control group. Students also showed great interest on English Writing of Descriptive text by applying 3-step-writing strategy. It means that 3-step-writing strategy could improve students` English writing skill and could also empower students to learn more.
Data Dimension Reduction for Clustering Semi-Structured Documents using QR Fuzzy C-Mean (QR-FCM)

The rapid growth of XML adoption has created an urgent need for a proper representation for semi-structured documents, where the document semantic structural information has to be taken into account in order to support a more precise document analysis.In order to efficiently analyze the information represented in XML documents, research on XML document clustering is actively in progress.The key issue is how to devise a similar measure to be used for clustering between XML documents and, since XML documents have a hierarchical structure, it is not appropriate to cluster them by using a general document similarity measure.Data dimension reduction (DDR) plays an important role in handling a massive quantity of high dimensional data such as mass semantic structural documents.Having projected XML documents to the lower dimensional space obtained from the DDR/QR, our proposed method of QR Fuzzy C-Mean is to execute the document-analysis clustering algorithms (we call QR-FCM).The DDR can substantially reduce the computing time and/or memory requirement of a given document-analysis clustering algorithm, especially when we need to run the document analysis algorithm many times for estimating parameters, or to search for a better solution.