Reviewerly/exHarmony huggingface dataset:
Distributed Dynamic Management System Based on Recurrent Neural Networks

Distributed network system is responsible for many dynamic information computing services, and all tasks are scheduled through resource managers. Large-scale distributed network systems need to integrate heterogeneous and dynamic characteristics into the content of resource allocation and dynamic management. However, the diversity of network equipment and internal communication brings great difficulties to resource allocation/dynamic management. The effectiveness of scheduling decisions issued by resource managers is also difficult to determine. The resource allocation and dynamic management scheme of distributed network system proposed in this paper adopts bi-directional recurrent neural network learning to realize reliable and efficient resource allocation and operation and maintenance management solution. The output of bi-directional cyclic neural network is dependent on the current input and memory to synthetically decide when to match a task with a resource and improve the utilization and performance. Experiments in real distributed network systems show that the technical indicators of this method, including efficiency and execution rate, will not be significantly reduced by the increase in the number of tasks. Therefore, this method can further enhance the reliability and scalability of the resource allocation and dynamic management of distributed network systems.
Code Switching In Classroom Discourse: A Sociolinguistic Study

This research attempts to find out the most frequently used type and the function of codeswitching, also the implication of code-switching towards the teaching and learning situation in two classrooms of the fourth semester at English Education Department, University of Mataram. The descriptive qualitative method was adopted in conducting this method. The data collection was done through observation, recording and interview. The results of this study showed that three are types of code-switching are found in 129 utterances which contain code-switching in the classrooms. The most frequently used type was Intra-sentential switching, which appeared in 70,5% of the utterances, followed by tag switching (16,2%) and inter-sentential switching (13,1%). There were two functions of code-switching found in this study, they ware translation and communicative function which included motivating, giving feedback, checking comprehension, joking, and expressing state of mind. The implication of code-switching in teaching and learning situation was considered as one of the good strategies to built an efficient and conducive teaching and learning situation in the classrooms, as it is necessary in certain condition and still hard to avoid since it is helpful for material explanation as well as an ice breaker.
Design of GPS Information Processing System Based on Single Chip Microcomputer

With the rapid development of science and technology in the 21st century, the Global Positioning System (GPS) has become one of the representatives of the development achievements of this era. The system not only has high precision and good performance, but also has a wide range of application. It has been widely used in land, ocean, space and other fields, with a very high market share. In response to a surge in demand for satellite-positioning and navigation applications, In this paper, the GPS information processing system is constructed with hardware modules such as GPS receiving module and LCD module as the main structure, single chip microcomputer as the core controller, supplemented by necessary peripheral circuits. The success of GPS information processing system based on single chip microcomputer solves the problem of high price of GPS devices in the market. In general, the design structure is not only modular and easy to carry, the most important is the human nature, cost-effective, and has great practical value.
VPCID—A VoIP Phone Call Identification Database

Audio forensic plays an important role in the field of information security to address disputes related to the authenticity and originality of audio. However, some audio forensics methods presented in existing references were evaluated under either non-forensic oriented databases or private databases which were not publicly available. It creates difficulty for researchers to make comparison between different methods. In this paper we established VPCID, a VoIP phone call identification database for audio forensic purpose. As there is an increasing trend of phone scams or voice phishing via VoIP, through which the caller’s identity can be hidden or forged easily, it is demanded to address the issues of identifying VoIP phone calls. The VPCID database is comprising of 1152 VoIP call recordings and 1152 mobile phone call recordings, each of which has more than two minutes. Recordings were collected from 48 different speakers using different smart phones and by considering varies recording conditions such as VoIP software, locations etc. We used MFCC (Mel-Frequency Cepstral Coefficients) and ACV (Amplitude Co-occurrence Vector) based features respectively equipped with SVM (Support Vector Machine) classifier to perform classification on the database. We also evaluated our own database on a CNN (convolutional neural network), but the performance is not too much satisfactory. Therefore the VoIP phone call identification problem is challenging and it calls for more effective solutions to address the problem. We hope our proposed database will convey more than this paper and inspire the future studies, which is openly available in below link, http://media-sec.szu.edu.cn/VPCID.html , and we welcome the use of this database.
Peran Komunikasi Verbal Dalam Penggunaan Media Gambar Untuk Meningkatkan Kemampuan Berbahasa Mandarin Bagi Anak Taman Kanak-kanak

The media image serves to attract attention to more easily understood student learning. delivered by teachersThus verbal communication is still the main communication in learning in the media uses only verbal communication the extent to which it is used and how much affect does that have on increased capacity in. mandarinThe study aimed to identify the role of verbal communication in the use of media images to improve the ability to speak mandarin.The methodology was. This is a descriptive qualitative research methodology .The result showed that media uses pictures is one of the means by which to improve their performance is very effective schooling particularly mandrin language lessons .It was in this picture are serves to attract attention to more easily understood student learning mandarin delivered by teachers .
Development of Hybrid Learning Machine in Complex Domain for Human Identification

This paper presents a hybrid learning machine for human identification.It is a merger of eigenface with fisherface method, genetic fuzzy clustering and complex neural network.The non-linear aggregation based summation and radial basis function neural networks (NLA-SRBF NNs) are proposed as one of the functional component of the novel learning machine.The architecture of NLA-SRBF NNs incorporates hidden neurons, with summation and radial basis aggregation, and output neurons with only summation aggregation, along with complex resilient propagation (ČRPROP) learning procedure.The improved learning and speedy convergence of NLA-SRBF NN enables the hybrid machine to provide better recognition accuracy.The learning machine consists of feature extraction, unsupervised clustering and supervised classification module.The aim of our proposal is to enhance the performance of biometric based recognition system.The efficacy and potency of our hybrid learning machine demonstrated on three benchmark biometric datasetsextended Cohn-Kanade, FERET and AR face datasets to comprehend the motivation.The performance comparisons of different variations of hidden neuron and learning algorithm thoroughly presented the superiority of the proposed NN based hybrid learning machine.
Coaches' Transformational Leadership Behavior and its Effect on Team Cohesion as Perceived by Female Football Players in Jordan

The main purpose of this study was to investigate the influence of transformational leadership behaviors on team cohesion as perceived by female football players in Jordan.Sixty-one football players were surveyed using a translated version of the Multifactor Leadership Questionnaire (Avolio & Bass, 2004) and Team Cohesion Questionnaire (Allawi, 1998).The results indicated that football players perceived their coaches to display high levels of transformational leadership.They also reported high levels of team cohesion.In addition, the results showed a positive relationship between coaches' leadership behaviors and team cohesion.Perceived leadership behaviors of idealized influence and intellectual stimulation were significant predictors of team cohesion and accounted for 22% of the variance in team cohesion.
A Home Service-Oriented Question Answering System With High Accuracy and Stability

With the development of deep learning, neural network-based (NN-based) methods have been applied in question answering (QA) widely and achieved significant progress.Although an NN-based QA system can obtain better performance and save manual efforts, the system is likely to suffer attacks from the external perturbation, due to its character of being black boxes.Limited in the area of home service, we present an innovative method for constructing an NN-based QA system.In our method, the accuracy can be further increased, and the stability can be enhanced in the meantime.Inspired by observing the process of performing home services, the tool information (tool names and tool sequences) is integrated with question terms, as a way of extending the question representation.The conception of attribution (word importance) is introduced to gauge the word importance since NN-based models can be easily affected by the uninformative question terms.In order to optimize the model parameters effectively, the reinforcement learning is employed and both factors on accuracy and stability are regarded as rules in designing rewards.A few state-of-theart methods are adopted to evaluate the effectiveness of the proposed method.The experimental results demonstrate that the model ability to produce effective answers in QA can be further improved with our method, and the model stability on perturbations can be enhanced with our method.
Digital Hurewicz theorem and digital homology theory

In this paper, we develop homology groups for digital images based on cubical singular homology theory for topological spaces. Using this homology, we present digital Hurewicz theorem for the fundamental group of digital images. We also show that the homology functors developed in this paper satisfy properties that resemble the Eilenberg-Steenrod axioms of homology theory, in particular, the homotopy and the excision axioms. We finally define axioms of digital homology theory.
Monoidal Encryption over $$(\mathbb {F}_2,\cdot )$$ ( F 2 , · )

In this paper we study monoid homomorphic encryption schemes over $$(\mathbb {F}_2,\cdot )$$ . Such encryption schemes occur naturally by forgetting the addition operation in a Ring Homomorphic Encryption scheme over $$\mathbb {F}_2$$ (if it exists). We study the structure of such schemes and analyze their security against quantum adversaries. We also present the only two monoid homomorphic encryption schemes over $$(\mathbb {F}_2,\cdot )$$ that exist in the literature and we raise the question of the existence of other such schemes. For one of the two schemes we present experimental results that show its performance and efficiency.
PERAN MINAT BELAJAR DALAM MEMEDIASI PENGARUH COMPUTER SELF-EFFICACYDAN PENGGUNAAN INTERNET TERHADAP PRESTASI BELAJAR

Penelitian ini bertujuan untuk menguji apakah terdapat pengaruh antara computer self-efficacy dan penggunaan internet terhadap prestasi belajar mata pelajaran MYOB, dengan minat belajar sebagai variabel intervening.Populasi dan sampel dalam penelitian ini adalah seluruh siswa kelas XI jurusan Akuntansi SMK Negeri 1 Salatiga yang berjumlah 93 siswa. Teknik pengumpulan data menggunakan metode dokumentasi dan kuesioner. Teknik analisis data yang digunakan adalah analisis statistik deskriptif, analisis jalur dan sobel test. Besarnya pengaruh variabel computer self-efficacy, penggunaan internet dan minat belajar terhadap prestasi belajar mata pelajaran MYOB sebesar 46,8%, 22,7%, dan 30,3%.Besarnya pengaruh computer self-efficacydan penggunaan internet terhadap minat belajar sebesar 29,3% dan 63,8%. Besarnya pengaruh computer self-efficacy melalui minat belajar sebagai variabel intervening terhadap prestasi belajar mata pelajaran MYOB sebesar 8,8%. Besarnya pengaruh penggunaan internet melalui minat belajar sebagai variabel intervening terhadap prestasi belajar mata peelajaran MYOB sebesar 19,3%. Kesimpulan dari penelitian ini adalah computer self-efficacy, penggunaan internet dan minat belajar berpengaruh secara positif terhadap prestasi belajar mata pelajaran MYOB baik langsung maupun tidak langsung.&#x0D; &#x0D; This study aims to examine whether there are influence between computer self-efficacy and the internet use toward learning achievements’ students of MYOB subject through the interest as the mediation variabel.The population and sample of this study was all of the 11th grade accounting major students in SMK Negeri 1 Salatiga. They were 93 students. Data collection techniques used documentations and questionnaires methods. The methods used in data analysis were descriptive statistical analysis, path analysis, and sobel test. The effect of the computer self-efficacy, the internet use, and learning interest toward students’ learning achievements was 46,8%, 22,7, and 30,3%. The effect of computer self-efficacy and the internet use toward the interest, respectively was 29,3% and 63,8%. The effect of computer self-efficacy toward students’ learning achievements through the interest was 8,8%. The effect of the internet use toward students’ learning achievements trough the interest was 19,3%. The conclude of this study is computer self-efficacy, the internet use, and the interest have a positive and significant corelations toward students’ learning achievements on MYOB subject in 11th grade Accounting Major SMK Negeri 1 Salatiga either directly or indirectly.
Extended 2D Volumetric Consensus Hippocampus Segmentation

Hippocampus segmentation plays a key role in diagnosing various brain disorders such as Alzheimer's disease, epilepsy, multiple sclerosis, cancer, depression and others. Nowadays, segmentation is still mainly performed manually by specialists. Segmentation done by experts is considered to be a gold-standard when evaluating automated methods, buts it is a time consuming and arduos task, requiring specialized personnel. In recent years, efforts have been made to achieve reliable automated segmentation. For years the best performing authomatic methods were multi atlas based with around 80-85% Dice coefficient and very time consuming, but machine learning methods are recently rising with promising time and accuracy performance. A method for volumetric hippocampus segmentation is presented, based on the consensus of tri-planar U-Net inspired fully convolutional networks (FCNNs), with some modifications, including residual connections, VGG weight transfers, batch normalization and a patch extraction technique employing data from neighbor patches. A study on the impact of our modifications to the classical U-Net architecture was performed. Our method achieves cutting edge performance in our dataset, with around 96% volumetric Dice accuracy in our test data. In a public validation dataset, HARP, we achieve 87.48% DICE. GPU execution time is in the order of seconds per volume, and source code is publicly available. Also, masks are shown to be similar to other recent state-of-the-art hippocampus segmentation methods in a third dataset, without manual annotations.
Mexico’s Tradition and Culture Entering the Digital Age: The Mexican Cultural Heritage Repository Project

Mexico is a country with a vast and extraordinary cultural heritage, which is the result of a rich history of cultural exchange, syncretism and transculturation. This rich culture has been materialized through the consolidation of a long and prestigious museum tradition, which at the same time is sadly characterized by an endemic lack of technological resources rather than professional skills. As a result, we have found that Mexican museums produce very heterogeneous forms of documentation, which are often not even managed using information technologies. Furthermore, most museums deploy ad hoc solutions that directly limit the usefulness and value of the documentation process itself. In response, the recently founded Mexican Ministry of Culture is undertaking the development of the Mexican cultural heritage data model (Modelo de Datos México), which is aimed at contributing to the cultural heritage domain of our country through the correct characterization and documentation of its cultural objects. It is the first documented experience in Mexico of a large-scale data model inspired by CIDOC-CRM, which is complemented by a set of terminological tools that attempt to capture the singularities and idiosyncrasies of the Mexican cultural sector. In the present paper, we will describe the motivations and decisions made so far to optimize the data model to the Mexican reality and the development of the project that will define a set of local terminologies built on the expertise of linguists, information architects, developers and especially, museum professionals.
Vulnerable Data Center and Developing of On-line Protection

This study illustrates the importance of the existence of ethical hacking data center and what are the most important measures that must be taken and provided in data centers.In order to upgrade to the best ways to secure data and information and to encourage employees to constantly develop themselves because of the counting development of information communication technology (ICT).This study also refers to the security precaution that must be available in the data center to protect their data. And also what is the "ethical hacker" and what types and what are the advantages and disadvantages of using ethical hacker. Due to the orientation of the data center to a unified electronic connection, it is necessary to indicate the importance of information and the prevention of data leaks.The importance of ICT development is key to success in every aspect for information processing.Online protection is of Mach importance in all data processing starting from the main data center room to the home and the individual interface with the internet.Protection s/w is now must to be installed in all levels of internet serving and the higher level of data processing, the higher and more efficient protection programs must be developed, The security team is responsible for monitoring the network and Internet charges for any breach.If there is an unauthorized access attempt on your device, the action will take effect immediately Such as disconnecting the Internet for a short time and making the block the device to try to enter for more than 3 consecutive Especially to data center devices.It's important that employees receive institutional sessions by the specialist, alerting them not to use e-mail messages in Internet cafes, unknown devices (unknown source), and interacting with unknown links.The Information and Network Security Team is responsible for risk management and incident verification because they are familiar with all details of the organization, including information and data.In order to reduce the impact of cyber-attacks and to protect the data center, it became necessary to qualify a team to monitor e-security, protect information and provide a secure electronic environment.
OPTIMASI METODE NAIVE BAYES DENGAN FEATURE SELECTION INFORMATION GAIN UNTUK PREDIKSI KETERLAMBATAN PEMBAYARAN SPP SEKOLAH

The cost of education is one component of input that is very important in implementing education. Because costs are the main requirement in an effort to achieve educational goals. SMK Al-Islam Surakarta is a private education institution that requires students to pay school fees in the form of Education Development Donations. Educational Development Donation is a routine school fee that is conducted every month. Based on last year's TU report, many students were late in paying Education Development Donations, around 60%. This is a big problem. The purpose of this study is that researchers will build a predictive system using the Naïve Bayes method. Because the method can classify the class right or late, in the payment of school fees. Data processing was taken from the dapodik data of schools in 2017/2018 with the test dataset taking 30 records. To find out the level of accuracy, this research was conducted with the Naive Bayes Method and the Information Gain Method for feature selection. Accuracy testing is done by the Confusion Matrix method. The results showed that the highest accuracy was obtained by combining the Naive Bayes Method with the Information Gain Method obtained by 90% accuracy.
Distant course «Method of study of informatics» as a component of computer-information training system for future teachers

interdisciplinary, practically-oriented and applied problems and didactically reasonable organization of problem solving by using software learning tools is essential condition of effective learning mathematics, after which the strong knowledge, skills and abilities of schoolchildren are formed and the improvement of important personal qualities is provided.
From Language Learners to Language Teachers: Construction and Implementation of Pedagogical Competence in Pronunciation Instruction

This study explored 36 undergraduates' knowledge construction and implementation of pedagogical competence in pronunciation instruction.These undergraduates were language learners themselves, but they were trained to become language teachers receiving pronunciation instruction in an English Pronunciation Instruction course at a university in Taiwan.Data in this study included interview, document, and videos.This study had the following major findings.First, their language competence, knowledge of phonology and pedagogy were constructed in the tertiary course through the instructor's demonstration and their own teaching practice.Secondly, they demonstrated limited knowledge in explicitly explaining pronunciation features to their learners and designing drill practices.They still needed to acquire more knowledge of phonology and pedagogy in order to design communicative tasks for pronunciation practice.A framework on pronunciation instruction to be included in language teacher education was provided.
Position measurement of linear motor mover based on image spectrum energy

When the image position measuring method is applied to mover position measurement of a linear motor, the selection of the target source image is crucial to measurement accuracy and anti-interference capacity. In this study, the fence image is used as the original shooting surface, and different kinds of fence images are constructed according to their width standard deviation and grey gradient sum. First, the relationship between the fence image spectrum energy and the correlation of image pixels is analysed. Then the image spectrum energy is used to characterise the feature of fence images during screening to select an aperiodic fence image with a strong anti-interference. Second, the phase singularity method is used to match the two images before and after displacement to obtain a sub-pixel displacement value of two images. Finally, according to the system calibration coefficient, the actual displacement value of the linear motor mover is obtained. Experimental results show that the fence image screening from image spectrum energy exhibits more anti-interference for the position measurement of the linear motor, and the measurement algorithm based on the phase singularity algorithm is more stable. The absolute error of displacement is <0.023 mm, and the relative error change within 0.054–0.862%.