Reviewerly/exHarmony huggingface dataset:
ConSSED at SemEval-2019 Task 3: Configurable Semantic and Sentiment Emotion Detector

This paper describes our system participating in the SemEval-2019 Task 3: EmoContext: Contextual Emotion Detection in Text.The goal was to for a given textual dialogue, i.e. a user utterance along with two turns of context, identify the emotion of user utterance as one of the emotion classes: Happy, Sad, Angry or Others.Our system: ConSSED is a configurable combination of semantic and sentiment neural models.The official task submission achieved a micro-average F1 score of 75.31 which placed us 16th out of 165 participating systems.
A VHDL Implemetation of the Advanced Encryption Standard

A new original approach to realization of AES algorithm on FPGA is proposed.Problems of VHDL modeling of AES ciphering and deciphering are considered.
Waray Scripting Language (WSL): A Mother Tongue-Based Scripting Language

The objective of this study was to develop a waray scripting language to introduce computer programming using mother tongue-based scripting language to the beginners especially the first year college students enrolled in computer-related programs in Eastern Samar State University and to evaluate the waray scripting language in terms of its usability, readability, and writability.This study used racket programming language an open-source programming language to develop WSL, racket helps programmers develop and quickly deploy new language.WSL was subjected to software evaluation in terms of usability, readability and writability were based on (ISO 9126) Software Product Quality Metrics.This study used developmental-evaluative research design.The result shows that WSL a mother-tongue-based scripting language is of acceptable and is compliant to the ISO software standard with the variables obtained the average weighted mean rated as 3.5 Acceptable in general.For readability, it also obtained the average weighted mean of 3.6 Acceptable in general and for usability, it obtained the average weighted mean of 3.4 Acceptable in general and it also obtained the average weighted mean of 3.5 of all variables and was rated Acceptable in general.This implies that students have an optimistic response towards WSL.A modified syntax for better readability can also be introduced to enhance more the quality of the WSL.
A Tutorial of Graph Representation

With the development of network technology, graphs exist widely in real life, such as social networks, communication networks, biological networks, etc. Analyzing the structural of these graphs will have a far-reaching impact on various network applications. For example, node classification, link prediction, clustering, visualization. Traditional graph representation methods suffer a lot of space and time cost. In recent years, a category of technology which convert nodes into a low-dimensional vector has emerged. In this paper, First, we briefly introduce the development and challenges of graph representation algorithms. Then we introduce the existing methods of graph representation in the literature. It is mainly divided into three parts: node embedding, embedding based on heterogeneous graph, subgraph embedding. Node embedding algorithms are mainly divided into four categories: matrix factorization-based algorithms, random walk based algorithms, deep learning based algorithms and the algorithm based on the role of node structure. In addition, we also introduce LINE algorithms, embedding based on heterogeneous graph and sub-graph (whole graph) embedding algorithms. Finally, we introduce the related applications of graph embedding and the summary of this paper.
Práticas de letramentos vernaculares em língua inglesa: a práxis na aprendizagem além do currículo formal da universidade

Vernacular literacy practices in English have become a research topic based on the increasing use of digital technologies (DT) in formal and informal contexts of learning. Therefore, this article aims to analyze the vernacular practices adopted by Letras undergraduate students, as regards their English language literacy practices. To do so, the ethnographic perspective was adopted, with a qualitative approach, and the sample consisted of semi-structure interviews with three undergraduates from a university in the state of Santa Catarina, Brazil. The collected material was explored through content analysis techniques to create categories of analysis about the interviewees’ discourses. Eight categories of analysis were created to allow us to verify, from the interviewees' statements, that the use of DT is important for learning English, both in terms of daily use and pedagogical practices. Finally, the data revealed that vernacular practices re-signify the elaboration of planning, teaching action and, consequently, the praxis in learning English beyond the university formal curriculum.
Human Resources Challenges and Their Impact on the Preservation of Human Capital: Field Study in Private Hospitals in Irbid Governorate - (Jordan)

This study aims to identify the challenges facing human resources and their impact on the preservation of human capital in the private hospitals of the governorate of Irbid.To achieve the goal of this study, the researchers developed a questionnaire, that was distributed to the study sample, consisting of (200) people, randomly selected, from the study population of (600) people.The result of this study showed a statistically significant impact on human resource that face challenges in preserving human capital in the private hospitals of Irbid's Governorate.The study recommended addressing the challenges facing human resources through increased wages, incentives, rewards, comprehensive health insurance, providing an appropriate work environment and ideal administrative leadership that will lead to career stability Thus; achieving the competitiveness of the hospital.
An Efficient Approach for Security in Cloud Computing

To provide the security to user data a model can be used in which elliptical curve cryptography can be used in addition to the cryptographic algorithm. In the current paper, elliptic curve cryptography is used with the AES algorithm. By using the AES user can store and access his data in a secure way. In this approach data stored on the cloud server in the encrypted form and even if data is accessed by the attacker, the attacker can't get the actual data. As for the user authentication issue is concerned, the user needs to authenticate itself using a different type of credentials. The whole idea will ensure the data security and provide data integrity to the user.
Learning SPARQL Queries from Expected Results

We present LSQ, an algorithm learning SPARQL queries from a subset of expected results. The algorithm leverages grouping, aggregates and inline values of SPARQL 1.1 in order to move most of the complex computations to a SPARQL endpoint. It operates by building and testing hypotheses expressed as SPARQL queries and uses active learning to collect a small number of learning examples from the user. We provide an open-source implementation and an on-line interface to test the algorithm. In the experimental evaluation, we use real queries posed in the past to the official DBpedia SPARQL endpoint, and we show that the algorithm is able to learn them, 82 % of them in less than a minute and asking the user just once.
SOILS CONTAMINATION DEGREE ASSESSMENT OF HEAVY METALS IN NIZHNEVARTOVSK (WESTERN SIBERIA, RUSSIA)

energy complex.The main pollutants found in elevated concentrations are zinc, copper, nickel, lead and manganese.In 2018, there was a change in the concentration of mobile forms of zinc, copper, nickel and lead.High concentrations of manganese were detected.The environmental situation in Nizhnevartovsk is generally assessed as moderately hazardous by indicators of soil chemical contamination.
Weight Rotation as a Regularization Strategy in Convolutional Neural Networks

Convolutional Neural Networks (CNN) have become the gold standard in many visual recognition tasks including medical applications. Due to their high variance, however, these models are prone to over-fit the data they are trained on. To mitigate this problem, one of the most common strategies, is to perform data augmentation. Rotation, scaling and translation are common operations. In this work we propose an alternative method to rotation-based data augmentation where the rotation transformation is performed inside the CNN architecture. In each training batch the weights of all convolutional layers are rotated by the same random angle. We validate our proposed method empirically showing its usefulness under different scenarios.
Use of geoinformation technologies in tasks of water objects pollution monitoring

Summary The topical issue today is the problem of the effectiveness of the use of geo-information technologies for monitoring of water objects pollution, since ecologically clean rivers and lakes are a prerequisite for ensuring stable and safe water supply for the population. The paper suggests using Python software to process aerospace images taken from Landsat 8 satellite. Normalized Difference Water Index (NDWI) index was also considered for studying of water objects condition. The paper considers the use of the Normalized Difference Water Index - NDWI to determine the presence of water objects in the image using the above-mentioned program. This software allows you to save processed images in the correct format. The satellite method of observing the environment, proposed by the authors, allows us to follow the changes taking place on the surface of the Earth, using space images. The feasibility of using software that allows the processing of aerosp ace data is presented. The use of the NDWI index to determine the availability of water objects, to determine the turbidity and overall ecological status of reservoirs has been certified. A comparative analysis of two images using the index has shown that in the second case, the water object looks brighter and more appropriate to use for further studies.
Mosaic Removal Algorithm Based on Improved Generative Adversarial Networks Model

Generative adversarial networks have yielded outstanding results in unsupervised areas of learning, but existing research has proven that the results are not stable in specific areas. In this paper, an improved generative adversarial networks model is proposed. First, the loss calculation method of the generated model is changed, which makes the removal target of the whole network controllable. Second, the deep convolution network is added to the existing network; this improves the accuracy of the mosaic removal. And then combines the loss calculation method of the pixel networks, the network effectively solve the unstable features of generative adversarial networks in specific conditions. Finally, the experimental results show that the overall mosaic face removal for this network performance is superior to other existing algorithms.
Trends and Changes in the Field of HCI the Last Decade from the Perspective of HCII Conference

In order to identify trends and changes in the field of HCI, we used the full-texts of the papers of the HCII conferences from 2007 to 2017 in a text-mining approach. From a set of approx. 7500 documents we looked at word frequencies and topic modelling using latent dirichlet allocation (LDA) in order to detect changes and trends. We identified 50 topics using the LDA model. We found that the topics around social aspects, gamification and datafication play an increasing role. We find evidence for this in both LDA and word frequencies. We qualitatively asses the topic models using our own publications and find a high match of detected topics and our ground truth.
A multidimensional framework to study situation awareness in u-learning systems

This research is devoted to the study of the situation awareness from ubiquitous learning (u-learning) systems’ perspective. Related researches identified literature provide different visions and sometimes conflicting ones to the concept of situation awareness. Given this misunderstanding, this paper aims to bring a common and organized characterisation of this concept for the u-learning field. A multidimensional framework dedicated for situation-aware u-learning systems is then defined. This framework is composed of four different and complementary worlds. Each world helps to understand, analyse and describe in-depth a particular aspect of situation awareness in u-learning systems. The paper presents a structured description of the framework’s worlds. An evaluation of the research works identified in literature based on the framework’s worlds is then presented. The provided assessment helps identifying problems involving situation awareness in u-learning systems which could be a starting point for possible future research opportunities.
A Proposed Secure Cloud Environment Based on Homomorphic Encryption

Cloud computing means an information technology arrangement where data and software are saved and treated in a reserved data center.In cloud computing, big amount of users 'data are allowed to de collected on cloud server storage for next use, and any computations on stored data will be implemented in the cloud.To keep the stored data that is on the cloud we necessities have to use an encryption system that can do computations on the encrypted data called homomorphic encryption.In this paper, users' data is never kept in the form of plaintext on public cloud and proposed a Secure Cloud Environment Based on Homomorphic Encryption (SCEHE) to develop the security of cloud computing and keeps the client's data by utilizing partial homomorphic encryption ", Elliptic curve cryptography used to generate algorithm's private key then encrypt all user's data by using it, A new algorithm reduces the time of processing, space of storage and make available high security because of its key generated depends on ECC.The use of 64-bit provides enough security to be used in the system.
The Advent of Speech Based NLP QA Systems: A Refined Usability Testing Model

This paper outlines a refined usability testing model, developed for industry specific comparative usability testing of two natural language processor (NLP) based question answering (QA) systems. The systems operate over differing modalities, one through text and the other speech. The revised model combines two existing usability testing frameworks, the System Usability Metric (SUM) and the System Usability Scale (SUS). It also integrates the context-specific determined target user - financial managers working within the financial services industry. The model’s metric weightings are determined through key informant interviews. The presented model will be the working framework from which a series of comparative usability tests will be carried out within the target organisation.
SYN- AND EPIGENETIC NICKEL MINERALIZATION IN THE KAMCHATKA PLUTONIC MAFITE-ULTRAMAFITE FORMATIONS

The paper presents data on known objects in the sulfide copper-nickel ore formation in Kamchatka, as well as other ore occurrences and points of nickel mineralization related to certain magmatic formations. The authors have revealed the empirical regularities in the distribution of the background contents of nickel, cobalt, copper, and sulfur in ore-free differences of the rocks from the regional mafite-ultramafite formations and their interrelation with ore mineralization of various genesis. Ore content in the intrusions of cortlandite-norite formation is caused by the concentration of nickel in the sulfides at the magmatic stage. The origin of the nickel ores in the dunite-harzburgite-gabbro formation of Kamchatka is mainly associated with its concen-tration caused by epigenetic processes. Possible identification of industrial nickel ore content can be associated with the copper-sulfides ores in the blocks of hyperbasites from the dunite-harzburgite-gabbro formation from the zones with the serpentinite melange in Eastern Kamchatka. In this case, nickel and cobalt can be considered only as a by-product in the processing of copper and zinc-copper ores.
A dynamic and scalable solution for improving daily life safety

The integration of computation, networking, and physical processes requires regular exchange of critical information in timely and reliable fashion and a secure modeling and control engine able to rule and to coordinate all different sources of information. In this paper we provide the description of a dynamic and flexible infrastructure to be installed and applied into daily realities, able to maximize safety and security with an extremely low impact on the maintenance and the updating effort. The proposal has been conceived in collaboration with an Italian kindergarten. Preliminary results collected during simulation and testing activity are encouraging.
Polymetrical Analysis as Universal System of Formalization the Knowledge

Problem of search of universal system of formalization the knowledge is discussed.Philisophical, mathematical, cybernetic and computing aspects of its problem are analyzed.Foundation of polymetrical analysis as variant of resolution of this problem is represented.We show that this system allowed resolving S. Beer centurial problem in cybernetics.Also it allowed creating the natural (operational) approach in the foundation of mathematics and system concept of computing science.
Meningkatkan Kemampuan Menulis Karangan Narasi Melalui Media Visual Siswa Kelas IXE SMP Negeri 25 Kota Jambi Tahun Ajaran 2017/2018

Teaching the writing skills of Bahasa Indonesia to SMP students directed to achieve competencies that can be involved in the ability of students reveal various meanings with the correct steps in the written text of a topic relate to the real experience of daily life – with the emphasis of writing language variations. This research is experimental research; By using a class that is an international class IXE junior high School 25 Jambi city. Based on the ability of the students to write narrative essays by using the visual media acquired spread the value of 77 to 88. The lowest value is 77 and the highest value is 88. So based on the value in the table above can be known the average value of students in writing narrative essays using visual media i.e. the number of scores obtained divided by the number of students (sample) is 2286:28 = 81.64. Thus the result of writing essay based on the word media found in good category with an average value of 81.64. From the two results of the class data of the experiment and the control class, it can be concluded that the ability to write narrative essays using visual media is better than the writing ability of narrative essays by not using media Visual grade IX students E SMP Negeri 25 Jambi City.
Flexible Hierarchical Key Assignment Scheme with Time-Based Assured Deletion for Cloud Storage

Everyone now can store their files to the cloud, which makes life more convenience and don’t worry about losing the storage device. However, the files store in the cloud is managed by someone may not trustable become a security concern. One of the solutions is encrypting the file and doing assured deletion on it. This paper proposed a time-based assured deletion in a flexible hierarchy structure. Clients will be distributed one derivation key depend on which class and when to over. Then client can use the derivation key to derivate the time-bound secret key to encrypt files. While the predetermined time passing, the secret key will be deleted and the file is unrecoverable. The proposed scheme provides the guarantee of files in the cloud, and also applies to the flexible hierarchy structure which may suitable in the organization.
Efektivitas Veggie-Fruit Dart Game terhadap Konsumsi Sayur dan Buah pada Siswa SDN Duri Kepa 05 PG

Konsumsi sayur dan buah anak usia sekolah masih kurang dari yang dianjurkan. Rendahnya konsumsi sayur dan buah tersebut dapat diakibatkan oleh pengetahuan yang kurang mengenai pentingnya konsumsi sayur dan buah.Â Tujuan penelitian ini untuk mengetahui efektivitas media Veggie-Fruit Dart Game terhadap konsumsi sayur dan buah siswa/i kelas V SDN Duri Kepa 05 PG Jakarta Barat. Jenis penelitian ini adalah Quasi Experimental dengan rancangan penelitian Pretest-Posttest Non-Equivalent Control Goup Design. Penelitian dilaksanakan pada bulan November 2018 â€“ Januari 2019 dengan sampel sebanyak 71 siswa, 35 siswa pada kelompok perlakuan dan 36 siswa pada kelompok kontrol. Analisis data menggunakan uji Wilcoxon dan Independent Sample T-test. Hasil pada kelompok perlakuan didapatkan adanya pengaruh media Veggie-Fruit Dart Game terhadap konsumsi sayur dan buah (pâ‰¤0,05). Pada kelompok kontrol didapatkan tidak ada pengaruh yang signifikan media poster terhadap konsumsi sayur dan buah (pâ‰¥0,05). Terdapat perbedaan yang signifikan pada konsumsi sayur dan buah (pâ‰¤0,05) antara kelompok perlakuan dengan kelompok kontrol. Media Veggie-Fruit Dart Game efektif meningkatkan konsumsi sayur dan buah pada siswa.Kata kunci : Konsumsi, Veggie-Fruit Dart Game, PosterAbstractVegetable and fruit consumption among school-age children is still less than the recommendation. Lack of knowledge about the importance of vegetable and fruit consumption might cause this low consumption of vegetables and fruits in school-age children. This study aimed to find the effect of Veggie-Fruit Dart Game on vegetable and fruit consumption in fifth-grade students of SDN Duri Kepa 05 PG West Jakarta. This research was a Quasi-Experimental with Pretest-Posttest Non-Equivalent Control Group Design. The study was conducted in November 2018 â€“ January 2019 with a sample of 71 students, 35 students in the treatment group and 36 students in the control group.Â The data analysis was using Wilcoxon and Independent Sample T-test. The results in the treatment group showed that there was an influence of Veggie-Fruit Dart Game media on the vegetable and fruit consumption (pâ‰¤0.05). In the control group, there was no significant effect of poster media on the vegetable and fruit consumption (pâ‰¥0.05). There were significant differences in the vegetable and fruit consumption (pâ‰¤0.05) between the treatment and the control group. This study concluded that Veggie-Fruit Dart Game effectively improves the vegetable and fruit consumption among students. Keywords: Consumption, Veggie-Fruit Dart Game, Poster
Marginalized Stacked Denoising Autoencoder With Adaptive Noise Probability for Cross Domain Classification

Cross-domain classification is a challenging problem, in which, how to learn domain invariant features is critical. Recently, significant improvements to this problem have emerged with the wide application of deep learning models, which have been proposed to learn higher level and robust feature representation. Marginalized stacked denoising autoencoder model (mSDA) has proved to be effective to address this problem. However, the performance of mSDA is sensitive to the noise probability. In previous works, the noise probability is usually set as a constant value by cross-validation in the source domain. There is few work focus on the relationship between the noise probability and cross-domain task. In this paper, we try to compute the value of noise probability adaptively. Thus, an approach called Marginalized Stacked Denoising Autoencoders with Adaptive noise Probability (mSDA-AP) is proposed. Firstly, we extract an informative feature space by an improved index, weighted log-likehood ratio (IWLLR), then aggregate these informative features by weighting. Secondly, we compute the value of noise probability adaptively according to the distance between source domain and target domain, and then with the adaptive noise probability, we disturb the input data to learn a stronger feature space with mSDA. Finally, experimental results show the effectiveness of our proposed approach.
FACTORS INFLUENCING THE PLANNING OF TEACHING

Appears in: EDULEARN19 Proceedings Publication year: 2019Pages: 6783-6788ISBN: 978-84-09-12031-4ISSN: 2340-1117doi: 10.21125/edulearn.2019.1629Conference name: 11th International Conference on Education and New Learning TechnologiesDates: 1-3 July, 2019Location: Palma, Spain