Reviewerly/exHarmony huggingface dataset:
Pengembangan Sistem Pembelajaran Berbasis Multimedia

Currently the development of information technology has an important influence in the development of learning systems, one of which is technology in the multimedia field. Multimedia technology is an indispensable tool for the learning process. The use of text, images, audio, video, and animation in learning helps students to quickly understand learning material. Multimedia also provides opportunities for educators to develop learning methods so that they get maximum results. AMIK AKMI Baturaja is a computer college that has not fully utilized information technology in its learning, especially in the field of Multimedia. For this reason, researchers conducted this research for the development of learning at the Campus AMIK AKMI Baturaja. This study aims to produce a multimedia-based learning media at AMIK AKMI Baturaja which can be a driving force for student learning achievement. In this study using a research method of literature study, observation, questionnaires, and interviews. The media development method uses MDLC (Multimedia Development Life Cycle) which consists of six stages, namely concept (needs analysis), design (design), material collecting, assembly, testing, and distribution. . The result of this research is a multimedia-based learning system presented in the form of e-learning. This media is expected to have a positive influence in increasing student achievement and learning independence.
Alignment of time series with use of the generalized Legendre's transformation and methods of idempotenty mathematics

Alignment of time series [time-series smoothing] identification of the main tendency of development (временнго a trend) by "cleaning" of a time series of the accidental deviations distorting this tendency. At a research of time series of economy (bioinformation science) apply for detection of patterns [1-3]. &#x0D; In this work it is offered to use for this purpose Legendre's transformation well-known in physics and mathematics. Its direct application to poorly regular objects is difficult therefore in work its idempotent analog is defined previously and on its basis the concept of the TRACK for a time series is defined. &#x0D; In recent years within the international center "Cuofus Li" the new field of mathe-matics idempotent or "tropical" mathematics gained intensive development that is reflected in works of the academician V.P. Maslov and his pupils: G.L. Litvinov, A.N. Sobolevsky, etc. &#x0D; The purpose of this work to be beyond duality of the theory of linear vector spaces, using similar concepts of duality of conformally flat Riemannian geometry and of idempotent algebra.&#x0D; By analogy with the polar transformation of a conformally flat Riemannian metrics entered in E.D. Rodionov and V.V. Slavsky's works the abstract idempotent analog of transformation of Legendre is under construction. In the MATLAB system the program complex for calculation the TRACK of a time series is created. It is in-vestigated its opportunities for digital processing of time series.
Model Compression via Hyper-Structure Network

In this paper, we propose a novel channel pruning method to solve the problem of compression and acceleration of Convolutional Neural Networks (CNNs). Previous channel pruning methods usually ignore the relationships between channels and layers. Many of them parameterize each channel independently by using gates or similar concepts. To fill this gap, a hyper-structure network is proposed to generate the architecture of the main network. Like the existing hypernet, our hyper-structure network can be optimized by regular backpropagation. Moreover, we use a regularization term to specify the computational resource of the compact network. Usually, FLOPs is used as the criterion of computational resource. However, if FLOPs is used in the regularization, it may over penalize early layers. To address this issue, we further introduce learnable layer-wise scaling factors to balance the gradients from different terms, and they can be optimized by hyper-gradient descent. Extensive experimental results on CIFAR-10 and ImageNet show that our method is competitive with state-of-the-art methods.
Enhancing e-Banking Security of Two-Factor Authentication using Elliptic Curve Cryptography with Laplace Transform

In Two-factor authentication, even if the (One time password) OTP was leaked, the online user will be protected. Many users prefer to use one-factor authentication because the process of one-factor authentication password or OTP or Personal identity number (PIN) is straightforward. Present methods of Two- factor authentication, which were being executed, were very needed for users. In this paper, the proposed cryptosystem using Elliptic Curve Cryptography with Laplace Transform (ECC with LT) in the e-banking process, Two-factor authentication is described. In the first level of the OTP from the bank server and the second level of authentication, the PIN from the user will be obtained. In this proposed method, the user will be protected with safety and secrecy, and there could be no need to store the private key. The encryption and decryption process is implemented in the environment of internet banking in the proposed algorithm. A program is developed using 'Dot Net,' and a simple example is proposed in this paper. The frequency for ciphertext, time assessment for encryption and decryption, statistical analysis between plaintext and ciphertext are explained. Keywords: Elliptic curve over a finite field, Laplace transforms, Inverse Laplace transform, Two-factor authentication, OTP, PIN, e-banking.
Glossa som forskningsverktøy. Hva folk søker etter og hva resultatene brukes til

In this article we show how the search interface Glossa has been developed in step with the various corpora that have been built at the Text Laboratory. Furthermore, we present statistics on what kind of searches people do – single words or longer phrases, with or without specifications for phonetic form or grammatical features etc. – focusing on the Nordic Dialect Corpus and the Corpus of American Nordic Speech. Finally, we demonstrate how researchers have searched for data in these corpora and used them in published articles – both simple and extended search, in smaller or larger language areas – within several different branches of linguistics.
Research Scope and Tools for Workflow Scheduling in Cloud Environment

Workflow is a prototype that executes the behavior of scientific and engineering applications for which the sequence of tasks needs to be automated based on the input parameters specified. Difficulties arise for CSPs primarily during the execution environment due to its direct impact on various QoS parameters. Existing workflow scheduling techniques has research focus with dimensions that include undetermined demands, task failure,l delay cost, ambiguous deadlines, bandwidth, cache inclusion, scheduler policies, VM cycles, QoS impact, OS support, fault-tolerant and virtualization level. The comparative analysis made in this paper for workflow scheduling strategies and tools used in the cloud environment towards QoS parameters would have a greater impact on industry task automation which in turn provides the researchers to set their objectives and tools to be used in-order to bring forth new approaches and solutions. This paper can be extended considering the research scope given in the comparative analysis and the data size pertaining to each task in workflow and data migration issues which cannot be done without cost, legal policies and technical issues.
Collocations in Academic Language in German and Danish

This study compares the collocational use of the different word forms of five roots of academic language in German and Danish, considered essential for the realization of obligatory moves in the academic abstract, namely *analy*, *untersuch*/*undersøg*, *method*/*metod*, *theor*/*teor* and *empiri*. The aim of the comparison is to uncover differences and similarities in the expert norm of the two languages in order to gain insights that may help to inform the teaching of German-speaking students who must learn written standard Danish as part of their studies in Denmark. The study places special emphasis on the topic of variation, since variation reflects interculturally different uses of language specifically and is a major theme in academic language in general. The frequency and distribution of the five roots as verb, noun and adjective are compared in the collocations: noun + verb, verb + noun, adjective + noun in a study of two corpora of 100 dissertation abstracts from each of the two languages (approx.145.000 tokens), using the Word Sketch function of the corpus tool Sketch Engine. The LogDice measure has been used to identify the collocations, and variation is operationalized as the type-token ratio, computed for each syntactic relation. The results show general differences between the two languages. The use of different collocations with word forms from the five word families is greater in academic language in German than in Danish, despite a very similar distribution of the collocations in the languages and despite higher frequencies in Danish. The collocational use of the words in Danish therefore seems to be less varied and more restricted than in academic language in German.
An identity authentication method for ubiquitous electric power internet of things based on dynamic gesture recognition

This paper presents a novel algorithm for gesture recognition and identity authentication based on continuous hidden Markov model (CHMM) and optical flow method. This study aims to solve the information security problems about ubiquitous electric power internet of things. In this system, the optical flow method is used to segment and extract the features of the preprocessed dynamic gesture information to obtain the features of the dynamic gesture motion track, and the CHMM is chosen to establish a valid user dynamic gesture model, which leads to ensuring the dynamic gestures are accurately recognised. The proposed method is test on accurately recognise the dynamic gestures and the result is compared with the dynamic time warpring (DTW) algorithm and practical swarm optimisation-radial basis function network (PSO-RBFN) algorithm. The result of the comparisons illuminates the superiority of the proposed method in terms of accuracy of identity authentication.
COMPARISON OF CLUSTER ANALYSIS ALGORITHMS IN OBJECT RECOGNITION

The article is an overview of the direction of graphic image processing based on clustering algorithms. The analysis of prospects of application of algorithms of cluster analysis in digital image processing, in particular, at segmentation and compression of graphic images, and also at recognition of images in transport sphere of activity is carried out. Comparative modeling of such algorithms of cluster analysis as K-means, Mean-Shift (clustering of average shift) and DBSCAN (based on density of spatial clustering for applications with noise) on various types of data is carried out. The simulation was performed on synthetic datasets in a Jupyter Notebook environment using the Scikit-learn library. In particular, four data sets were generated in this environment, to which these clustering algorithms were applied. The simulation results showed that the K-means algorithm can effectively describe relatively simple shapes. In contrast, the mean shift does not require assumptions about the number of clusters and the shape of the distribution, but its performance depends on the choice of scale parameters. The DBSCAN algorithm can successfully detect more complex shapes, which emphasizes one of the strengths of this algorithm - the clustering of arbitrary data. The disadvantages of the selected algorithms are also given and it is indicated on which types of images they effectively work with the estimation of computational speed.
Students of the Middle Urals: The Transformation from Classical to Digital Community (Research Prospects)

Students are one of the most studied communities within the sociology context and especially the youths’ sociology and the sociology of education. Today, students are viewed both as the intellectual avant-garde force, leaders of social initiatives of the Russian youths and as a specific educational community. This study is based on the traditional method of document analysis, which allows us to identify key fields of the research. The research is devoted to the problems of changing students in the information society. The authors substantiate the need and prospects for studying students as a ’digital community’. A review of the social, political, sociocultural and other aspects of comprehensive students was conducted.&#x0D; Keywords: Actual culture, modernization of higher education, social transformation, social resource, students, digital community
Weather Analysis of Flight Delay at Husein Sastranegara Airport

Flight is an activity that is very vulnerable to weather conditions. The accuracy of weather information strongly supports flight activities. The effects of bad weather on flights include flight delays and flight cancellations. Based on data on flight delays from the Directorate General of Air Transportation of the Ministry of Transportation from January to March 2019 at Husein Sastranegara Airport, it is known that 20-30% of flight delays are caused by weather constraints. To estimate flight delays based on weather forecasts, weather data analysis is carried out to determine the type of weather that is endangering flights and causing flight delays. The analysis was carried out using the K-NN and Random Forest algorithms
Implementasi Algoritma Complementary Filter untuk Merancang Bangun Interaksi Manusia dan Smartphone Menggunakan Gerakan Kepala

This study proposes an approach to design and build interaction systems for smartphone users with hand disabilities using the user's head movements through the implementation of the fusion complementary filter algorithm to get the angle of orientation and position of the user’s head. The main objective of this experimental research is to get the best constant function of complementary filters that have the highest accuracy result. The results of this study indicate that the fusion complementary filter algorithm can be used to measure the angle of the user's head movements using a combination of 3 sensors; namely, the accelerometer, gyroscope, and magnetometer, with the best constants function are 0.99 for the gyroscope and 0.01 for the accelerometer. Complementary filter performance results using fusion of 3 sensors to measure the user's head angle obtained from the calculation of the root mean squared error (RMSE) with an average value of 0.364 on the x-axis (roll), 0.578 on the y-axis (pitch), and 0.767 on the z-axis (yaw).
SISTEM INFORMASI PENDATAAN GURU DAN SISWA MTsN 1 BUTON BERBASIS WEB

&lt;p&gt;&lt;em&gt;Madrasah Tsanawiyah Negeri (MTsN) 1 Buton School is a government agency engaged in education that is appointed to the general public as one of the high schools in Buton district. Student and teacher data management in MTsN 1 Buton is less efficient still using manual methods where student and teacher data is still written into a ledger so data collection is inaccurate and there is a possibility of data damage or data loss. The purpose of this study was to create a teacher and student data collection system on web-based Buts 1 MTsN to assist the school in processing information related to student and teacher data. Data collection methods used were observation and interviews with the Principal of MTsN 1 Buton and the administration section at the school. The results showed that with this research it can help the performance of the MTsN 1 Buton school and can produce data of students and teachers including data on student and teacher identity, teacher subjects, homeroom teachers, class schedules, class input, managing student grades and making teacher and student data reports efficiently and accurately.&lt;/em&gt;&lt;/p&gt;
An Efficient Identity-Based Forward Secure Signature Scheme from Lattices

With the use of a large number of mobile devices, the problem of key leakage becomes more and more serious.In view of the excellent characteristics of lattice cipher and forward-secure digital signature scheme, the construction of identity-based forward-secure digital signature based on lattice technology has become a research hotspot.However, the identity-based forward secure digital signature scheme on the existing grid has the disadvantage of excessive signature length.This paper uses the technique (without trapdoors) of Lyubashevsky and extended Samplepre, an efficient identity-based forward secure signature scheme from lattice is proposed.Its security is based on the Small Integer Solution (SIS) difficulty assumption, and the strong non-forgery of the signature scheme is achieved.The analysis results show that, compared with the existing schemes, the key and signature are smaller in size, more efficient in computing, able to resist quantum attacks, and more practical.
Efektivitas Metode Multisensory dalam Meningkatkan Kemampuan Memulai Membaca Pada Anak Tunagrahita Ringan

This study aims to test the effectiveness of the multisensory method of early reading skills in children with mild mental retardation in grade VI at SLB (Special School) Bina Bangsa, Ngelom, Taman, Sidoarjo. The research method used in this research is the Single Subject Research (SSR) experimental method with the ABA design model. The subject in this study was a grade 6 student with mental retardation at Special School (SLB) Bina Bangsa, Ngelom, Taman, Sidoarjo. The data collection technique used in this study was an initial reading ability test. The data analysis technique in this research is descriptive statistical data analysis techniques with data analysis in conditions and between conditions. The results of this study indicate that the multisensory method is effective in improving early reading skills in mildly retarded children.
Deteksi Bola Menggunakan Kombinasi Metode Filter Warna dan Bentuk Untuk Pengindraan Robot Soccer

Robot soccer is a combination of sports, robotics technology, and multi agent system, to achieve goals. Besides requiring individual intelligence, it also requires the ability to work together between individuals. The main problem in robot soccer is detecting objects in the form of balls. These problems include varying lighting that produces shadows from the ball, there are objects similar to balls, as well as real-time detection. Ease and lightweight program implementation are also needed in detecting the ball so that it is easy to implement on embedded systems. Computer vision technology helps robot soccer in detecting balls.Therefore, an alternative process is proposed to detect the ball using a combination of color filters and the shape or contour of the object. The results obtained from the experiments showed relatively effective in object detection, with a recall value of 90,69%.
Teaching Method Used By Lecturer In Teaching English For Nursing Academy Program (A Study Of ESP)

The background of this study is English Special Purpose, English Special Purpose has a specific term for each field. English has many functions in education or profession. English has many different purpose especially in Nurse Academy Program. Regarding to this case the teacher of English should be able to teach English for the students in Nursing Academy program with the appropriete teaching method. Based on the background of the study, the purpose of the study focuses to discribe the teaching method used by lecturer in nursing academy program and the responses’ students in English in their field. The Techniques of collecting data in this research are observation, interview and questionnaire. This is a qualitative research design the writer describe the data briefly. The result of observation and interview showed that Spiral Teaching Method was the teaching method used by the lecture in teaching English of Nursing Academy Program, the method was appropriete with the concept of English special purpose. Whereas, the results of the questionnaire explain about the resposes of the students showed that the student’s majority had a positive responses, it were showed that diagram were not presentage lower in 50% and the presentage was on 50% up to 100 % in each item question. The conclusion in this research is the lecturer implements method used to teach English for special purpose in nursing academy program very well and the students gave respond positively in English in their field. &#x0D;
folded space of machine listening

The paper investigates new machine listening technologies through a comparison of phenomenological and empirical/media-archeological approaches. While phenomenology associates listening with subjectivity, empiricism takes into account the technical operations involved with listening processes in both human and non-human apparatuses. Based on this theoretical framework, the paper undertakes a media-archeological investigation of two algorithms employed in copyright detection: “acoustic fi ngerprinting” and “audio watermarking”. In the technical operations of sound recognition algorithms, empirical analysis suggests the coexistence of a multiplicity of spatialities: from the “sound event”, which occurs in three-dimensional physical space, to its mathematical representation in vector space, and to the one-dimensional informational space of data processing and machine-to-machine communication. Recalling Deleuze’s defi nition of “the fold”, we defi ne these coexistent spatial dimensions in techno-culturally mediated sound as “the folded space” of machine listening. We go on to argue that the issue of space in machine listening consists of the virtually infi nite variability of the sound event being subjected to automatic recognition. The diffi culty lies in conciliating the theoretically enduring information transmitted by sound with the contingent manifestation of sound affected by space. To make machines able to deal with the site-specifi city of sound, recognition algorithms need to reconstruct the three-dimensional space on a signal processing level, in a sort of reverse-engineering of the sound phenomenon that recalls the concept of “implicit sonicity” defi ned by Wolfgang Ernst. While the metaphors and social representations adopted to describe machine listening are often anthropomorphic – and the very term “listening”, when referring to numerical operations, can be seen as a metaphor in itself – we argue that both human listening and machine listening are co-defi ned in a socio-technical network, in which the listening space no longer coincides with the position of the listening subject, but is negotiated between human and nonhuman agencies.
Prioritising Interventions for Sustainable Structural Transformation in Africa: A Structural Equation Modelling Approach

Development paradigms offer competing theories on the drivers of structural transformation. Most of the analysis has so far focused on the economic factors with little emphasis placed on either the social or environmental dimensions of sustainable development. Furthermore, there has been little theoretical or empirical analysis of how the three dimensions (e.g., economic, social, and environmental) interact to impact on structural transformation. This leaves an important gap in the literature since the three sectors are interlinked, not mutually exclusive, and hence cannot be analysed in isolation from one another. Using a panel data set for a group of 29 African countries spanning the period 1995-2011, this study employs a structural equation modelling approach to estimate the direct and indirect impacts of social, economic and environmental indicators on a composite index of structural transformation. We find that strategies that prioritise investments in social inclusion programmes have the greatest catalytic effect in advancing structural transformation in Africa.