Reviewerly/exHarmony huggingface dataset:
Minerando Mapa Conceitual a partir de Texto em Português

Concept maps are graphical tools for representation and construction of knowledge. The manual construction of a concept map requires time and cognitive effort, this being increased when the map should not represent the cognitive structure of the author, but rather, the information expressed in a text written by another author. Therefore, we propose a computational approach for concept map mining from texts in Portuguese that aims to represent the text in summary form through concepts and relationships. To this end, we define a technological architecture that includes the services of: (i) text formatting, removing characters and designing of the text; (ii) domain identification, information retrieval techniques to identify the domain to which refers the text; (iii) elements extractor, natural language processing techniques on the text to extract concept-relation-concept propositions; (iv) element summarizer, supported by graph analysis to identify the relevant concepts on the map; and (v) map visualization, presentation of the propositions in graphic form. The approach developed presents satisfactory results and contributes exceptionally to the summarization of texts to identify the relevant concepts of the text while maintaining its several and most important characteristics. Furthermore, this research introduces the specification of a project to provide computational resources for processing, handling and extraction of conceptual maps.
Could be Entanglement Regarded as A Sign of A Universe Having Higher Dimensions?

. A mathematically entangled system can be defined as a system that can not be divided into multipliers by multiplication but can be separated by a scalar multiplication (Duran, Gencten, 2015). Quantum entanglement is a physical phenomenon which occurs when pairs or groups of particles are generated in ways such that the quantum state of each particle cannot be described independently of the state of the other(s). In this study, it is argued whether the phenomenon of entanglement can be regarded as a sign of higher dimensions of the universe. It is concluded that, the physical application of mirror-reversed operations can be predictors for higher dimensions; it can be used as a boundary condition for the solution and prediction of higher dimensional quantum physics.
An Extensive Survey on Text Detection and Recognition

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
THE FEELING UNDERSTANDING AND VALUES OF THE DEAF CHILDREN

Deaf children have a language to communicate with each other. It is known as sign language. The sign language has grammatical, morpheme, syntactical and semantically rules. It can be helped the deaf children to understand the signs. The disability people or gift children have an equal with normal people. So, they deserve to get what they want and communicate with each other. Generally, the grammar of sign language for deaf people has used hand shape or movement even facial expression or body movement. This article has aimed to expose the ability of deaf children to understand the feelings and values of others. It refers to social and cognitive development. Deaf children have access to communicate how peoples’ interaction and explanation for behaviors to get better social dynamics as an advantage in cognitive development. The deaf children often show the behavior problem and inconsistent social and sometimes they could not understand social rules.
INNOVATING IN THE EDUCOMMUNICATION CLASSROOM

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 145-154ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0076Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
A HUMAN COMPUTER INTERACTION FRAMEWORK FOR MOBILE MATHEMATICS LEARNING APPLICATIONS

Appears in: INTED2019 Proceedings Publication year: 2019Page: 8060 (abstract only)ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1999Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Convolutional Temporal Attention Model for Video-based Person Re-identification

The goal of video-based person re-identification is to match two input videos, so that the distance of the two videos is small if two videos contain the same person. A common approach for person re-identification is to first extract image features for all frames in the video, then aggregate all the features to form a video-level feature. The video-level features of two videos can then be used to calculate the distance of the two videos. In this paper, we propose a temporal attention approach for aggregating frame-level features into a video-level feature vector for re-identification. Our method is motivated by the fact that not all frames in a video are equally informative. We propose a fully convolutional temporal attention model for generating the attention scores. Fully convolutional network (FCN) has been widely used in semantic segmentation for generating 2D output maps. In this paper, we formulate video based person re-identification as a sequence labeling problem like semantic segmentation. We establish a connection between them and modify FCN to generate attention scores to represent the importance of each frame. Extensive experiments on three different benchmark datasets (i.e. iLIDS-VID, PRID-2011 and SDU-VID) show that our proposed method outperforms other state-of-the-art approaches.
SUPPORT THE DEVELOPMENT OF COMMUNICATION COMPETENCIES IN KINDERGARTEN

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 435-440ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0189Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
USING FISHER´S COMBINATIVE TEST TO INVESTIGATE THE DEPENDENCE OF USING TEACHING METHODS TO DEVELOP ENTREPRENEURIAL SKILLS

USING FISHER´S COMBINATIVE TEST TO INVESTIGATE THE DEPENDENCE OF USING TEACHING METHODS TO DEVELOP ENTREPRENEURIAL SKILLS
ScienceAsia: On the move

The new Editorial team has taken over the operation of ScienceAsia since February 2019, beginning with Volume 45 Issue 1.We have re-organized ScienceAsia to achieve good and efficient management, so that now the Editorial team consists of the Editor-in-Chief, Editors and Managing Editor, as well as the Editorial Board.The Advisory Committee comprising former Presidents of the Science Society of Thailand and a former ScienceAsia Editor, will play an important role in giving advice on policy and administrative aspects of the journal.Our Editorial Board consists of renowned researchers specialized in different fields of sciences from within and outside Thailand, who will help raise ScienceAsia to a high standard with international reputation.
Processsing Simple Geometric Attributes with Autoencoders

Image synthesis is a core problem in modern deep learning, and many recent architectures such as autoencoders and Generative Adversarial networks produce spectacular results on highly complex data, such as images of faces or landscapes. While these results open up a wide range of new, advanced synthesis applications, there is also a severe lack of theoretical understanding of how these networks work. This results in a wide range of practical problems, such as difficulties in training, the tendency to sample images with little or no variability, and generalisation problems. In this paper, we propose to analyse the ability of the simplest generative network, the autoencoder, to encode and decode two simple geometric attributes : size and position. We believe that, in order to understand more complicated tasks, it is necessary to first understand how these networks process simple attributes. For the first property, we analyse the case of images of centred disks with variable radii. We explain how the autoencoder projects these images to and from a latent space of smallest possible dimension, a scalar. In particular, we describe a closed-form solution to the decoding training problem in a network without biases, and show that during training, the network indeed finds this solution. We then investigate the best regularisation approaches which yield networks that generalise well. For the second property, position, we look at the encoding and decoding of Dirac delta functions, also known as `one-hot' vectors. We describe a hand-crafted filter that achieves encoding perfectly, and show that the network naturally finds this filter during training. We also show experimentally that the decoding can be achieved if the dataset is sampled in an appropriate manner.
IN SEARCH OF THE “IDEAL” SPECIALISED E-DICTIONARY ENTRY FOR ENGINEERING STUDENTS: SOME CONSIDERATIONS, DIRECTIONS AND SUGGESTIONS

IN SEARCH OF THE “IDEAL” SPECIALISED E-DICTIONARY ENTRY FOR ENGINEERING STUDENTS: SOME CONSIDERATIONS, DIRECTIONS AND SUGGESTIONS
Video-based, Occlusion-robust Multi-view Stereo Using Inner-boundary Depths of Textureless Areas

Occlusions and poor textures are two main problems in multi-view stereo reconstruction. This paper presents a video-based solution to address both challenges in depth estimation. We focus on reconstructing accurate inner boundaries of visible textureless areas, particularly for occluded background, by leveraging the reliable depths of object edges. This is done by efficiently respecting two local cues with complementary advantages, i.e. smoothness and density of recovered surfaces. The inner-boundary depths are finally utilized to infer dense geometry without wrong connections between objects. This method only relies on low-level techniques, e.g. intra-view interpolation and inter-view propagation of depths. Experiments indicate its superiority in terms of both depth discontinuities near object silhouettes and surface smoothness in homogeneous regions compared to the state of the art.
New Approach Data Encryption using Key Generation and DS-PEKS Algorithm

Cloud storage has set up itself as a broadly used services for organizations and people; be that as it may, it with inherent challenges including security risks, reliable data storage, also, information accessibility. Searchable encryption technique is improving the protection of personal data in secure manner searchable cloud storage. In this paper, we are work on PEKS which is very useful in many application of cloud storage. To make sure data security and privacy any other sensitive data would need to be encrypted before this data save on the cloud servers. The conventional PEKS system suffers an inherent insecurity called keyword guessing attack (KGA) proposed by the malicious attack and malignant servers. So solve this weakness, we propose another PEKS system named is DS-PEKS (Dual Server). To outline the possibility of our new system, we give an effective instantiation of the general system from a linear SPHF and show that it can accomplish the strong security against inside KGA.
INTERNSHIPS IN BUSINESS HIGHER EDUCATION: STUDENTS’ PERCEPTION AND VALUATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 7143-7151ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1726Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
KIDSVILLE - A LAW TEACHING GAME

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 7403-7411ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1804Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
RURAL STUDENTS’ BARRIERS OF SOCIAL ADAPTATION TO THE UNIVERSITY

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 7067-7073ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1712Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
SERVICE-LEARNING TO ENHANCE SOFT SKILLS OF UNIVERSITY STUDENTS THROUGH SOCIAL PROJECTS

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 7637-7646ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1870Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
A new Hybrid Lattice Attack on Galbraith's Binary LWE Cryptosystem

LWE-based cryptosystems are an attractive alternative to traditional ones in the post-quantum era. To minimize the storage cost of part of its public key - a $256 \times 640$ integer matrix, $\textbf{T}$ - a binary version of $\textbf{T}$ has been proposed. One component of its ciphertext, $\textbf{c}_{1}$ is computed as $\textbf{c}_{1} = \textbf{Tu}$ where $\textbf{u}$ is an ephemeral secret. Knowing $\textbf{u}$, the plaintext can be deduced. Given $\textbf{c}_{1}$ and $\textbf{T}$, Galbraith's challenge is to compute $\textbf{u}$ with existing computing resources in 1 year. Our hybrid approach guesses and removes some bits of the solution vector and maps the problem of solving the resulting sub-instance to the Closest Vector Problem in Lattice Theory. The lattice-based approach reduces the number of bits to be guessed while the initial guess based on LP relaxation reduces the number of subsequent guesses to polynomial rather than exponential in the number of guessed bits. Further enhancements partition the set of guessed bits and use a 2-step application of LP. Given the constraint of processor cores and time, a one-time training algorithm learns the optimal combination of partitions yielding a success rate of 9\% - 23\% with 1000 - 100,000 cores in 1 year. This compares favourably with earlier work that yielded 2\% success with 3000 cores.
Aesthetic Habitus Analysis of PGSD Universitas Ahmad Dahlan’s Students on Visual Arts and Skills Learning Process

The research explained about analysis visual arts and skill learning of PGSD UAD’s students. Data collection time at even semester, academic year 2017/2018 in class A, B, C, and H. Type research is qualitative research with descriptive data analysis. Author used aesthetic habitus concept to study it
NEW HORIZONS IN MUSIC TECHNOLOGY PERFORMANCE EDUCATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 2942-2945ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0777Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Learning from Videos with Deep Convolutional LSTM Networks

This paper explores the use of convolution LSTMs to simultaneously learn spatial- and temporal-information in videos. A deep network of convolutional LSTMs allows the model to access the entire range of temporal information at all spatial scales of the data. We describe our experiments involving convolution LSTMs for lipreading that demonstrate the model is capable of selectively choosing which spatiotemporal scales are most relevant for a particular dataset. The proposed deep architecture also holds promise in other applications where spatiotemporal features play a vital role without having to specifically cater the design of the network for the particular spatiotemporal features existent within the problem. For the Lip Reading in the Wild (LRW) dataset, our model slightly outperforms the previous state of the art (83.4% vs. 83.0%) and sets the new state of the art at 85.2% when the model is pretrained on the Lip Reading Sentences (LRS2) dataset.
A SOFTWARE FOR DEVELOPING QUANTITATIVE CRITICAL THINKING BY CHEMICAL ENGINEERING STUDENTS

Appears in: INTED2019 Proceedings Publication year: 2019Page: 9894 (abstract only)ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.2466Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Rogue-Gym: A New Challenge for Generalization in Reinforcement Learning

In this paper, we propose Rogue-Gym, a simple and classic style roguelike game built for evaluating generalization in reinforcement learning (RL). Combined with the recent progress of deep neural networks, RL has successfully trained human-level agents without human knowledge in many games such as those for Atari 2600. However, it has been pointed out that agents trained with RL methods often overfit the training environment, and they work poorly in slightly different environments. To investigate this problem, some research environments with procedural content generation have been proposed. Following these studies, we propose the use of roguelikes as a benchmark for evaluating the generalization ability of RL agents. In our Rogue-Gym, agents need to explore dungeons that are structured differently each time they start a new game. Thanks to the very diverse structures of the dungeons, we believe that the generalization benchmark of Rogue-Gym is sufficiently fair. In our experiments, we evaluate a standard reinforcement learning method, PPO, with and without enhancements for generalization. The results show that some enhancements believed to be effective fail to mitigate the overfitting in Rogue-Gym, although others slightly improve the generalization ability.
Astrobotics - Automated Single Slot Computer Chip Tester

Author(s): Pereida, Jose; Khacherian, Christopher; Cho, Han Jin; Isabelle, Cecilia; Tran, Phuc Ly Hong; Vu, Frank; Wong, Kevin | Abstract: Abstract: Astrobotics offers a modern solution to the modern problem faced by semiconductor manufacturers. The new system, called the Automated Single Slot Tester, consists of a new robot assembly called the Astrobot, a workstation, two JEDEC tray housings, and Advantest’s proprietary single slot tester. The Astrobot is an innovation that stems from the widely used FANUC robot. At the moment, FANUC robots are used to automate many tasks in the manufacturing industry, including assembly, CNC, machining, spot welding, picking, and packing. Advantest, the sponsor company, realizes the potential of the FANUC robots in automating the chip testing process, thus eliminating the tedious manual labor and improving efficiency. By making modifications to the already existent FANUC robot, our team aims to create a new system that can revolutionize the semiconductor industry. The new Astrobot can accelerate the chip-testing process by using the robot to pick up each chip, place them in the tray, then organize them into passing and failing trays. With all the manual labor automated by the Astrobot, the SST can test up to 100 chips per hour, making the process twice as fast.Faculty Advisors: Dr. Vince McDonnellDr. Farzad AhmadkhanlouCompany Liaisons: Jesse GillespieLee WuSusan Moran
Disentangling Options with Hellinger Distance Regularizer

In reinforcement learning (RL), temporal abstraction still remains as an important and unsolved problem. The options framework provided clues to temporal abstraction in the RL, and the option-critic architecture elegantly solved the two problems of finding options and learning RL agents in an end-to-end manner. However, it is necessary to examine whether the options learned through this method play a mutually exclusive role. In this paper, we propose a Hellinger distance regularizer, a method for disentangling options. In addition, we will shed light on various indicators from the statistical point of view to compare with the options learned through the existing option-critic architecture.
GOOD TEACHING PRACTICES IN NEW EDUCATIONAL ENVIRONMENTS FOR SOCIAL SCIENCES DEGREES

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 1901-1908ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0534Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
THE CREATIVE PROCESS AS A FORM OF INTERGENERATIONAL COOPERATION

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 4777-4782ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1189Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
Searching Method of Structural Similar Subnets in Protein-protein Interaction Networks Based on Quantum Walks

Comparing and investigation into different protein-protein interaction networks (PPI networks) is significant for discovering new biological function and comprehending the evolution of the protein-protein interactions. Because general PPI networks are large in scale, existing classical computation algorithms of solving alignment and search in PPI networks possess too high time complexity. The time complexity is so high that it is impossible for the algorithm to align the whole network simultaneously. An effective quantum algorithm, Quantum-walks Algorithm for PPI-network Similar Subnets Searching (QPSS), is introduced to improve the situation mentioned above based on the continuous-time quantum-walks model in quantum computation. The process in detail of the QPSS algorithm is demonstrated. Moreover, we discuss the performance evaluation of this algorithm. After the time complexity of QPSS algorithm compares with its classical counterpart, it has been proved that the QMSM obtains a nearly quadratic speed-up.
LANGUAGE LEARNING IN SITU: THE USE OF 360° VIDEO AND CONVERSATIONAL TECHNOLOGIES FOR SECOND LANGUAGE ACQUISITION

LANGUAGE LEARNING IN SITU: THE USE OF 360° VIDEO AND CONVERSATIONAL TECHNOLOGIES FOR SECOND LANGUAGE ACQUISITION
HOW COLLEGE STUDENTS PERCEIVE THE TYPICAL WOMAN AND MAN

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 752-756ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.0262Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
PRAGMATICS OF ENGLISH LANGUAGE TRANSLATED TEXTS OF ECONOMIC CONTENT

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 4420-4425ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1105Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain
ONE OF THE BIGGEST ISSUES SURROUNDING ONLINE EDUCATION: USER EXPERIENCE OF ITS DELIVERY (LMS)

Appears in: INTED2019 Proceedings Publication year: 2019Pages: 6597-6602ISBN: 978-84-09-08619-1ISSN: 2340-1079doi: 10.21125/inted.2019.1606Conference name: 13th International Technology, Education and Development ConferenceDates: 11-13 March, 2019Location: Valencia, Spain