Reviewerly/exHarmony huggingface dataset:
Similarity: Implementation Interactive Whiteboard Media with Constructivism Approach to Public Policy Courses

The teaching and learning process needs to be supported by the development of innovative media to increase student’s interest in learning. A good learning motivation and atmosphere will support learning to be optimal. Interactive whiteboard is an alternative visual media presentation. The development of interactive whiteboard assisted learning media was carried out in the first year. To see whether the interactive whiteboard assisted learning media is feasible to use the researchers conducted a trial limited to students in the sixth semester of Civic. Based on the results of the pretest and posttest conducted, it was found that there were differences in the value between the pretest and posttest scores of the sixth semester students of Civic the Universitas PGRI Semarang in the 2017/2018 school year of 67.81 and 71.26. In the 2nd year, the study continued by testing whether the interactive whiteboard assisted learning media could be used widely. For this reason the researchers conducted an expanded trial by applying the media to two universities, namely the Universitas PGRI Semarang and IKIP Veteran Semarang. The results obtained in the use of interactive whiteboard assisted learning media are quite satisfying. The value of the pre-test and post-test for the sixth semester students of Civic the Universitas PGRI Semarang in the 2018/2019 school year were 70.31 and 72.05. While the value of pretest and posttest for students in the sixth semester of Civic in IKIP Veteran Semarang in the 2018/2019 academic year is 63.68 and 68.94. It can be concluded that there is a difference in the value between the pre test and post test, although, it is not so significant. The constructivism approach included in the interactive whiteboard assisted learning media has also helped students develop their interest in learning in public policy courses which in fact are in the form of theory. With the use of media, students actively participate in the teaching and learning process. Visual presentation media displayed on the interactive whiteboard is expected to continually safeguard student learning and be widely used.
Lexical Normalization of User-Generated Medical Forum Data

In the medical domain, user-generated social media text is increasinglyused as a valuable complementary knowledge source to scientific medicalliterature. The extraction of this knowledge is complicated by colloquiallanguage use and misspellings. Yet, lexical normalization of such data has notbeen addressed properly. This paper presents an unsupervised, data-drivenspelling correction module for medical social media. Our method outperformsstate-of-the-art spelling correction and can detect mistakes with an F0.5 of0.888. Additionally, we present a novel corpus for spelling mistake detectionand correction on a medical patient forum.
Development of a Support System for Voice Outputs and Character Recordings in Communication via the “Mouth-shape Character” Method

The "mouth-shape character" is one of the communication means of ALS (Amyotrophic lateral sclerosis) patients and caregivers.Although this means allows communication between the patient and the caregiver without using any tools, it is a burden on caregivers to utter speech sounds and record characters.The purpose of this study is to develop a support system for speech utterances and character recordings in communication via the mouth-shape character method.The prototype support system (proto-system) consisted mainly of an electric character board and a speech voice recognition module.Using the proto-system, the communication experiments were conducted by healthy subjects role-playing both the patient and the caregiver, and the system operability was evaluated.A control experiment was performed using the conventional mouth-shape character method and the results using these two methods were compared.Although the communication speed in the proto-system was slightly inferior to that of the mouth-shape character method, the accuracy of the confirmed character recordings by the former method was high, indicating the possibility of reducing the burden on caregivers.In addition, since speech recognition adapted to the caregiver's voice can be used as an input trigger, both hands of the caregiver remain free, and the potential for a reduction in the caregiving workload was obtained.
Special aspects of coagulation and floculation processes in wastewater treatment

Abstract Nowadays the high development of the industry leads to the inevitable pollution of the environment all over the world. First of all, it has a negative effect on the hydrosphere because, anyway, waste water falls into a reservoir or go into the ground water through the soil. The paper explores the issue of optimizing the removal of protein and lipid impurities from wastewater under exposure to the compositions of coagulants and flocculants; in this case anionic acrylamide/sodium acrylate copolymers were analyzed. It was established that by adding compositions of coagulants with flocculants to wastewater it is possible to significantly reduce the content of protein and lipid impurities. The authors determined the efficiency of the coagulant-flocculant compositions, which depend on the conditions of reagent introduction, special qualities of wastewater, nature of the coagulant, concentration, molecular weight and charge.
Evaluation of Data Preprocessing Techniques for Anomaly Detection Systems in Industrial Control System

The critical infrastructure can be defined as main cornerstone of modern society.Therefore, the cyber protection of critical systems like industrial control systems is vital for every modern state.However, conventional techniques are often ineffective to protect these systems.Thus, machine learning is an exceptional way to ensure cyber security in the case of critical infrastructure.The machine learning can process high dimension datasets with thousands of record in real-time.However, these datasets have to be in a proper format.The data preprocessing is a crucial stage in machine learning and can negatively influence final results.We introduce a comprehensive comparison of the main data preprocessing techniques in the relation of the network anomaly detection system.Moreover, the preprocessing of continuous datasets is considered as the subject of the research The neural network autoencoder is considered as an anomaly detection algorithm which is used to evaluate proposed solutions.
PERSPECTIVES ON TEACHERS´ PROFESSIONAL DIGITAL COMPETENCE

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 1187-1192ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.0365Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
Automated mail processing – Etude monographique du 0,50F Marianne de Béquet

Sommaire Introduction Direct sorting Delayed sorting Vertical Codes with yellow dashes Horizontal Codes with rose/orange dashes Introduction To improve its productivity, the PTTs chose to…
Security performance analysis of photography service system / Farah Shazwani Ismail

Photography business become more popular and trending among the most of people who likes photography. Photography Service System was developed to help photography companies to deliver photos and videos to their customers. The use of the system have its advantages such as easiness of accessing data and also make users share the data faster. The purpose of the system was developed to ease the daily works and can be used frequently by photography companies as a method to send photos and videos to their customers. Unfortunately, the system that developed by developer, sometimes there is a lack of security performance. A penetration testing was conducted in order to test the security performance by conducting four method of security attacks such as Denial of Service (DoS), SQL injection, Cross Site Scripting, and sniffing password. The purpose of these attacks were conducted is to testing and finding the vulnerabilities of the system because the system deals with the customers’ privacy data which is the photos and the videos owned by the customers. This is crucial to secure a system where the first step taken as a prevention to introduce the system to the public, vulnerability assessments was performed to determine the weaknesses of the system. Scanning and vulnerability assessment are done using tools which is Vega Scanning Tool, Wireshark, and Low Orbit Ion Cannon (LOIC). All results are collected and have been analyze. As a summary of the result, it shows that the system are vulnerable to DoS attack, SQL injection attack, cross site scripting and also password sniffing.
Spatial Face Context with Age and Background Cues for Group Photo Retrieval

People usually take group photos by using cameras and smart phones to record social events. With the increasing number of group photos, searching and collecting similar group photos become difficult. In this paper, we propose using spatial face context with age and background information to achieve group photo retrieval. Visual features between group photos are assessed by applying spatial arrangement, genders, ages and backgrounds information between two group photos. Then, an effective graph matching is applied to assess the similarity between two group photos based on the visual features. Experimental results show that our method can retrieve similar group photos by combing foreground and background information.
Bounded distance field for assisting interactive layout design of water circuits

Manufacturing companies often define various guidelines on the part placement in a mechanical product. In this study, we present a software system to assist in the layout of parts when minimum thickness and clearance conditions between the parts are specified in the guidelines. The idea of a “bounded distance field” is proposed, which is a distance field in a limited region around the boundary surface of a solid object. Gaps generated during parts placement that are too narrow can be detected by checking the distance value at the surface polygon of the object in the field. Based on a placement of new objects or a position change of objects, the distance field in the modeling space must be updated. To reduce the update cost, we introduce the idea of a “lazy evaluation” into the distance computation. In this method, a thickness and clearance evaluation is performed by using individual fields associated with the objects, and the computation of the combined distance field of all objects is postponed for as long as possible. To evaluate the practical application of the bounded distance field and the lazy evaluation of the distance value, an interactive system to assist in the layout design of water circuits in a mold cavity is demonstrated.
EPISTEMOLOGICAL SUPPORT FOR EDUCATION IN SCIENCES WITH TECHNOLOGIES

Appears in: ICERI2019 Proceedings Publication year: 2019Pages: 9165-9171ISBN: 978-84-09-14755-7ISSN: 2340-1095doi: 10.21125/iceri.2019.2204Conference name: 12th annual International Conference of Education, Research and InnovationDates: 11-13 November, 2019Location: Seville, Spain
PENGEMBANGAN MEDIA DEFEND THE MIDWAY BERBASIS CONSTRUCT 2 PADA MATERI PERANG DUNIA KEDUA DALAM PEMBELAJARAN SEJARAH SISWA KELAS XI IIS SMAN 1 GIRI BANYUWANGI

ABSTRAK Mata pelajaran sejarah dalam kurikulum 2013 terbagi menjadi sejarah wajib dan sejarah peminatan. Sejarah peminatan memuat sejarah dunia yang diajarkan pada siswa SMA jurusan IIS. Salah satu materi sejarah peminatan adalah Perang Dunia Kedua. Kebutuhan siswa dengan adanya media pembelajaran interaktif pada materi tersebut menjadi topik yang dikembangkan oleh peneliti. Pengembangan media pembelajaran Defend The Midway merupakan produk berbasis Construct 2 dalam android yang dikembangkan oleh peneliti. Metode penelitian ini menggunakan referensi dari Borg & Gall dengan sepuluh tahap penelitian. Peneliti mendapatkan presentase 98,07% untuk validasi materi dan 93,75% untuk validasi media. Uji efektivitas media pada kelompok kecil mendapat 84,6% dan kelompok besar mendapat 90,89%. KATA KUNCI : Media Pembelajaran, Defend The Midway, Construct 2 ABSTRACT Historical subjects in the 2013 curriculum are divided into compulsory history and history of specialization. Specialization history contains world history taught to high school students majoring in IIS. One of the historical material of specialization is the Second World War. Student needs with the presence of interactive learning media on the material became a topic developed by researchers. Development of learning media Defend The Midway is a Construct 2 based product in android developed by researchers. This research method uses references from Borg & Gall with ten stages of research. The researcher got a percentage of 98.07% for material validation and 93.75% for media validation. The effectiveness test of the media in the small group received 84.6% and the large group received 90.89%. KEYWORDS : Development of learning media, Defend The Midway, Construct 2 Normal 0 false false false IN X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable{mso-style-name:Table Normal;mso-tstyle-rowband-size:0;mso-tstyle-colband-size:0;mso-style-noshow:yes;mso-style-priority:99;mso-style-qformat:yes;mso-style-parent:;mso-padding-alt:0cm 5.4pt 0cm 5.4pt;mso-para-margin-top:0cm;mso-para-margin-right:0cm;mso-para-margin-bottom:10.0pt;mso-para-margin-left:0cm;line-height:115%;mso-pagination:widow-orphan;font-size:11.0pt;font-family:Calibri,sans-serif;mso-ascii-font-family:Calibri;mso-ascii-theme-font:minor-latin;mso-fareast-font-family:Times New Roman;mso-fareast-theme-font:minor-fareast;mso-hansi-font-family:Calibri;mso-hansi-theme-font:minor-latin;mso-bidi-font-family:Times New Roman;mso-bidi-theme-font:minor-bidi;}
Sålunda postade Dynamo : En innehållsanalys av en ungdomsavdelnings Instagramkonto

This thesis discusses how the identity connected to the City Library of Gothenburg youth section Dynamo is presented through their Instagram account. By applying a qualitative content analysis on a ...
The Use of Authentic Scientific Texts in the Process of Teaching Students to Solve Tasks of Differential Geometry

In the article presents the classification of problems by differential geometry, which is based on the nature of the relationship between the elements of the problem and the relationship between the reproducing and creative activity of students in their decision. It is shown that an important source for the choice of texts of problems and methods of their solution are the works of scientists – creators of classical differential geometry. Work with the corresponding scientific text allows the student to master such an educational strategy as methodological reduction.
Experiments on human incremental parsing

Experiments have been conducted in which the subjects incrementally constructed dependency trees of Russian sentences.The subject was successively presented with growing initial segments of a sentence, and had to draw syntactic links between the last word of the segment and the previous words.The subject was also shown a limited right context -a fixed number of words following the last word of the segment.The results of the experiments show that the right context of 1 or 2 words is sufficient for confident incremental parsing of Russian narrative sentences.
Efficient Processing of Recursive Joins on Large-Scale Datasets in Spark

MapReduce has become the dominant programming model for analyzing and processing large-scale data. However, the model has its own limitations. It does not completely support iterative computation, caching mechanism, and operations with multiple inputs. Besides, I/O and communication costs of the model are so expensive. One of the most notably complex operations extensively and expensively used in MapReduce is recursive joins. It requires processing characteristics that are the limitations of a MapReduce environment. Therefore, this research proposes efficient solutions for processing recursive joins in Spark, a next-generation data processing engine of MapReduce. Our proposal eliminates a large amount of redundant data generated in repeated join steps and takes advantages of in-memory computing means and cache mechanism. Through experiments, the present research shows that our solutions significantly improve the execution performance of recursive joins on large-scale datasets.
Метод генерації гіперкомплексних числових систем для моделювання цифрових реверсивних фільтрів 4-го порядку

A digital filter is a digital system used to filter a discrete signal. It can be implemented either by software or by specialized equipment.The use of hypercomplex numbers for building digital filter structures can provide significant benefits. Digital filters with hypercomplex parameters have higher speed and better performance in terms of total parametric sensitivity.Although in previous works software filter of 3th order structure synthesis algorithms were proposed, in this paper only software filter of 4th order structure synthesis algorithms are considered.Studies have shown that the expression analysis method for the transfer function denominator norms of the hypercomplex filter allows you to effectively select the hypercomplex number system, which has all the necessary properties.It is shown that only quadriplex number system K and hypercomplex number system obtained by auto doubling of a double-number system W are suitable for the structures synthesis of fourth-order hypercomplex digital filters. These hypercomplex number systems allow to get a complete set of filter transfer function shift operator steps. On the other hand, they have isomorphic weakly filled hypercomplex number systems. Transition to such systems can significantly reduce the number of real operations during the filter operation time.In the work, all transformations and calculations in the hypercomplex domain were performed using the software module for hypercomplex calculations in the Maple computer algebra framework. This fact confirms the efficiency of this software module. Tabl.: 2. Refs: 17 titles.
Exploration of Science and Education Integration in the Improvement of Talent Training Quality in Universities

Teaching and scientific research are two important tasks for higher education. They are neither mutually contradictory nor substitute for each other. How to deal with the relationship between scientific research and teaching, to change the sense of division of science and education, and to realize the effective integration of science and education is an important problem in China higher education. From the perspective of teachers, this paper discusses the specific strategies for implementing the integration of science and education in detail, and expounds the important role of scientific research promoting teaching, and teaching feeding back scientific research in universities' talent training quality process.
Using headlight patterns in vehicle recognition

Crime scenes are frequently poorly lit, making it difficult to recognize and identify implicated vehicles that have been caught on film or photographed during incidents. This paper explores vehicle recognition capabilities in dark images, specifically as when a vehicle’s headlights are on and are projecting light onto a flat vertical surface. In this study, the headlight reflection patterns of 68 vehicles were photographed and analyzed. This paper presents a method for confirming or ruling out a vehicle's make and model by its headlight pattern.
Exceptive constructions. A Dependency-based Analysis

The goal of this paper is to provide a description of the syntax of exceptive constructions within a dependency framework.These constructions are introduced in English by the markers except, but, except for, apart from, other than, etc. Examining their syntactic properties across a variety of languages shows that they imply two main types of constructions: The paradigmatic-EC and the hypotactic-EC.The first type shares many properties with coordination, and it can be integrated into the paradigmatic lists/piles phenomena in which two segments of the utterance pile up on the same syntactic position and whose most famous case is coordination.
Deep Learning of Determinantal Point Processes via Proper Spectral Sub-gradient

Determinantal point processes (DPPs) is an effective tool to deliver diversity on multiple machine learning and computer vision tasks. Under deep learning framework, DPP is typically optimized via approximation, which is not straightforward and has some conflict with diversity requirement. We note, however, there has been no deep learning paradigms to optimize DPP directly since it involves matrix inversion which may result in highly computational instability. This fact greatly hinders the wide use of DPP on some specific objectives where DPP serves as a term to measure the feature diversity. In this paper, we devise a simple but effective algorithm to address this issue to optimize DPP term directly expressed with L-ensemble in spectral domain over gram matrix, which is more flexible than learning on parametric kernels. By further taking into account some geometric constraints, our algorithm seeks to generate valid sub-gradients of DPP term in case when the DPP gram matrix is not invertible (no gradients exist in this case). In this sense, our algorithm can be easily incorporated with multiple deep learning tasks. Experiments show the effectiveness of our algorithm, indicating promising performance for practical learning problems.
Almost Uniform Sampling From Neural Networks

Given a length $n$ sample from $\mathbb{R}^d$ and a neural network with a fixed architecture with $W$ weights, $k$ neurons, linear threshold activation functions, and binary outputs on each neuron, we study the problem of uniformly sampling from all possible labelings on the sample corresponding to different choices of weights. We provide an algorithm that runs in time polynomial both in $n$ and $W$ such that any labeling appears with probability at least $\left(\frac{W}{2ekn}\right)^W$ for $W<n$. For a single neuron, we also provide a random walk based algorithm that samples exactly uniformly.