Reviewerly/exHarmony huggingface dataset:
The Effects of Critical Multiliteracy Learning Models on Mastery of Explanatory Text Concepts

&lt;p&gt;The aims of this study was to determine the ability to master the concept of elementary school students through the implementation of critical multiliteracy learning models. This research was conducted on fifth grade students of elementary school. The research method used in this study was a quasi-experimental method. The participants in this study amounted to 39 students. Data was collected using tests and rubric. Analysis of data in this research using the t test with SPSS version 20.0 program for windows. Based on the results of the study, it was found that the mastery ability of the explanatory text concept of students experienced a significant increase and was included in the sufficient category. This can be seen from the pretest score obtained by students at 34.74 and the posttest results at 64.23. Based on the results of the t test the significance value is 0.00˂0.05 thus it can be concluded that there are significant differences between the mastery of students' concepts before and after being given treatment using critical multiliteracy learning models.&lt;/p&gt;
Code-Mixing in Narrative Essay of Fifth Grade Students

&lt;p class="Abstract"&gt;This study aims to find out the code-mixing in narrative essays of grade 5&lt;sup&gt;th&lt;/sup&gt; primary school and what factor is behind the use of code-mixing. This study is done in one of the school in Lembang sub-district which is most of the students are coming from provinces in Indonesia. Method of this study is descriptive analysis. The instrument of this study is a written test by giving an assignment to make a narrative essay. This study uses data analysis technique to analyze word by word, sentence, and phrase which contain code-mixing. This study states that some students’ narrative essays contain code-mixing. There are 8 narrative essays contain code-mixing. It is found that students mix Indonesian language and English, Indonesian language and local language such as Betawi and Sundanese, and formal and informal language. The factors of code-mixing in those narrative essays are the speaker and his personality, limitation of code, habituation, and more popular terms.&lt;/p&gt;
A Character Superposition Method Based on Object Detection

In this paper, the video data collected by the monitoring system in the urban underground integrated pipe gallery and the sensor data are independent of each other, which leads to the problem that the information value cannot be fully utilized. A character superposition method based on object detection is proposed. The method uses the sensor data as a character in the video, which solves the problem of information island between sensor data and video data. It is verified by experiments that the accuracy of object detection algorithm proposed by this paper is 13.94% higher than that of traditional target detection algorithm, and the false alarm rate is reduced by 14.29%. It solves the problem of accurate monitoring under the complex environment of urban underground integrated pipe gallery.
Generic Ontology Design Patterns at Work

Generic Ontology Design Patterns, GODPs, are defined in Generic DOL, an extension of DOL, the Distributed Ontology, Model and Specification Language, and implemented using Heterogeneous Tool Set. Parameters such as classes, properties, individuals, or whole ontologies may be instantiated with arguments in a host ontology. The potential of Generic DOL is illustrated with GODPs for an example from the literature, namely the Role design pattern. We also discuss how larger GODPs may be composed by instantiating smaller GODPs.
Relación entre la competencia digital docente y la edad del profesorado de educación física en la ciudad de valencia

espanolLa necesidad del profesorado de ser competente digitalmente en el dominio de recursos tecnologicos y concretamente en el area de Educacion Fisica en la etapa de Educacion Secundaria Obligatoria (ESO), despierta la curiosidad por investigar en este ambito, sin perjuicio de reducir el tiempo de compromiso motor, ni aumentar el sedentarismo. De la misma forma, Diaz (2015) afirma que a medida que se va creciendo en edad, se tiene menor nivel de competencias y menor experiencia en el uso de este tipo de tecnologias. EnglishThe need for teachers to be digitally competent in the domain of technological resources and specifically in the area of Physical Education in the stage of Compulsory Secondary Education (ESO), arouses the curiosity to investigate in this field, without prejudice to reduce the time of motor commitment, or increase sedentary lifestyle. In the same way, Diaz (2015) states that as the age increases, there is a lower level of skills and less experience in the use of this type of technology.
A New Model for Information Security Risk Management

This article introduces a new risk management method for information security risk management, proposed and applied for the first time in the IT department of a telecommunication company in Iran. According to law requirements and security strategic plan, the mentioned company implemented information security risk management (ISMS). So one of the main phases of ISMS is the risk management. The results show that the methodology of the information security risk management containing the risk identification, risk analysis, risk evaluation and risk treatment, uses the frameworks of ISO 27005, ISO 27002, ISO 27011, OCTAVE and NIST 800-30 and OWASP standards. This new method is practical and accurate and is suitable for large scale organizations.
Ice Hockey Player Tracking and Identification System Using Multi-camera video

We present an ice hockey player tracking and identification system based on the videos acquired from multiple camera system. The proposed system reduces tracking errors by global tracking with multi-camera video and player identification using SVM (support vector machine). In the test experiments, the proposed system could achieve the performance of average tracking speed of 16 fps with four cameras, and the average recognition rate as 98.8 %.
Water Meter Reading Area Detection Based on Convolutional Neural Network

The water meter is a device for measuring the amount of water used by each household. Remote meter reading is one of the main ways to solve the waste of human resources caused by regular manual door-to-door access to mechanical water meter readings. The current use of image acquisition and then accurate reading of the water meter image is one of the ways of remote meter reading. In this paper, the convolutional neural network is used to predict the reading area, and then the non-maximum suppression algorithm (NMS) is used to remove highly overlapping results from prediction region results to obtain the position of the reading area. The experimental results show that with using the method proposed in this paper in the actual application scenario, the IoU of the images of 1000 test sets are all above 0.8 and then combined with the three-layer BP neural network for character recognition, the accuracy rate reaches 98.0%.
Selecting tools for penetration testing

This guide for business and IT managers, in collaboration with CREST, explains the process of penetration testing and the benefits it brings.
A Study on Ways to Systemize Learning Elements of Japanese History

This article was written to search for ways to systemize learning elements related to Japanese history in secondary history education. For this, observations were made of the present conditions of learning elements related to Japanese history by school level and by subject.BR Next, discussions for learning element systemization pointed out that it should not be treated as the taxidermized collection of researchers nor should it just be simple intellectual play, but that attention should be given so that it can actually be useful to learners. Additionally, discussions were made that, as trends are showing that students who do not experience high school 〈East Asian History〉 and 〈World History〉 education in their lifetimes are increasing, thought should be given to how Japanese history education will be conducted in middle school 〈History〉 and high school 〈Korean History〉 courses and that methods selecting current ‘history fields’ of middle school 〈Social Studies〉 in Japan can serve as models.BR In conclusion, the activities and practice cases of the recently made ‘the Korean Association for Japanese History’ were introduced with anticipation towards full discussions on an academia level for the systemization of learning elements in world history fields and in particular, Japanese history fields. Further, selection standards for Japanese history related learning elements were shown and perspectives on “sequence within continuance” were presented as broad principles of learning element systemization.
The classification of musical transformation: a conceptual approach to the knowledge organization of musical arrangements

Introduction. The purpose of this paper is to provide a conceptual analysis of the knowledge organization of musical arrangements found in notated Western art music. Analysis. Four areas of arrangements are analysed. Inter-medium arrangements are explored, which are arrangements that transform one musical medium into another. Arrangements which involve changes of difficulty or pitch are discussed, as well as transformations between notation and performance. Arrangements of forms and genres are analysed, including sub-genres such as literal transcriptions, fantasies, virtuosic arrangements and pot-pourris. The function of arrangements is also discussed.Results. This study introduces additional facets, foci and types of information. These include the development of musical themes as a classification principle, the concept of a performancearrangement, and the idea of functions specifically associated with transformation. A categorisation is proposed for the various types of form/genre arrangements, which shows blurred boundaries between types. The impact of time on arrangements is demonstrated, and that there is a non-binary division between the original and the arranged. Conclusion. Two models demonstrate the complexities of musical arrangement, and how information specific to arrangements needs to be considered within music knowledge organization. Furthermore, the results suggest novel ideas about classifying change and transformation more generally.
Stereo camera-based computer vision system of a robot

This paper describes a toolkit implementation for developing a disparity map and point cloud of images taken with a stereo camera. Though there are ready-made solutions for this task, the point cloud they provide shows issues with accuracy and has other weaknesses that make it problematic to use such solutions in real-life environment for a robot to navigate inside a building. The outcome of this work is a ROS package allowing to create a disparity map and point cloud that show considerably higher quality and are applicable for mapping in real life environment.
Optimizing the Aggregated Throughput of GPUs in Public Clouds Based on Adaptive Kernel Reordering

GPGPUs have been widely used in public Clouds for the high computational ability, while a single GPU is shared by multiple tenants. When multiple applications share a single GPU, their kernels time-shares the GPU and the frequent context switches result in heavy overhead, and degrade the aggregated throughput of the GPU in consequence. To improve the aggregated throughput of GPUs, we design a system that eliminates unnecessary context switches throughput adaptive kernel reordering. It is challenging to achieve the above purpose because emerging real-system GPUs encapsulate the kernel scheduling policy in the device driver and there is no open interface to schedule/reorder the kernels. To resolve the above challenge, the designed system reorders kernels of different applications before they are transmitted to GPU. By scheduling kernels in the same application as long as possible unless the interval between adjacent kernels of an application is too long, the expenses of context switching can be reduced. Specifically, we propose three kernel reordering methods and test them on a Nvidia P100 GPU. Our experimental results show the aggregated throughput is improved by up to 31.07% when multiple applications share a GPU.
SECURE: An Evidence-based Approach to Cyber Experimentation

Securing cyber systems is of paramount importance, but rigorous, evidence-based techniques to support decision makers for high-consequence decisions have been missing. The need for bringing rigor into cybersecurity is well-recognized, but little progress has been made over the last decades. We introduce a new project, SECURE, that aims to bring more rigor into cyber experimentation. The core idea is to follow the footsteps of computational science and engineering and expand similar capabilities to support rigorous cyber experimentation. In this paper, we review the cyber experimentation process, present the research areas that underlie our effort, discuss the underlying research challenges, and report on our progress to date. This paper is based on work in progress, and we expect to have more complete results for the conference.
NPRank: Nexus based Predicate Ranking of Linked Data

In the typical use case of browsing Linked Data in DBpedia, the user would find an average of 180 facts attached to each entity. These facts are ordered alphabetically based on predicates, but a logical ordering of these facts is a better option. In this article, we present a Nexus based predicate ranking of Linked Data facts named NPRank. The key idea of NPRank is, the importance of a predicate is directly proportional to its familiarity among its group called Nexus. NPRank is a language and endpoint independent model allowing seamless integration and querying of data from multiple endpoints. Nexus score generated to rank predicates also assists in fragmentation of large data and bring in more hidden data from the SPARQL endpoints. Our experiments, conducted with the ranking of the Linked Data facts, corresponding to most visited pages of Wikipedia; from 275 active SPARQL endpoints, achieves better performance than the state-of-the-art methods.
Об интерпретируемости нечетких когнитивных моделей на этапе оценки рисков инновационных проектов

The problem of assessing and predicting risks arising at the different stages of creation andimplementation of innovative projects in the sphere of IT-technologies is considered. The mainattention is paid to the issues of interpretation of intermediate and final results of this problemsolution with use of fuzzy cognitive modeling technology under active participation of the group of experts – specialists in this subject domain. The basis of discussed procedure is the useof possible alternatives (i.e. the competing methods of solving the arising here subtasks) at eachof the stages of cognitive modeling in order to understand better, to explain and more clearlyrepresent (with corresponding rationale) the obtained results and recommendations to the Decision Maker. As the illustration, the example of the fuzzy cognitive map for innovative IT projects risks assessment earlier presented in [12] is considered.
Perancangan Perangkat Lunak Game Dengan Metode Fuzzy Inference System

Game is one of media to train cognitive abilities or agility skills within all of the elements of that game itself. Game been divided into several genre into strategy, RPG, sport, simulation, adventure, action, and puzzle. Action RPG Adventure game is some genre game that been designed to contain a storyline which has action with level of difficulty. Storyline is the one must have in this software game design because the game has a tale and ending to be told. Other than that in this game difficulties is been needed and to fulfill the action genre as an antagonist role.The Method has been used in this software Action RPG Adventure game design is Fuzzy Inference System which apply Game Development Life Cycle method. This game modeling software uses Flowchart with software to design this game using construct 2 and testing applying the black box method.This study eventually resulted in a conclusion that the design of Action RPG Adventure game software that has a storyline and has a different level of difficulty and has an ending. The language applied in the storyline of this game uses English.
A Study on the Research Trends of the Iimperial Examination’s Examination Papers and Exam Writings in Joseon Dynasty

The imperial examination system, which has been maintained for nearly a century, is closely related to the consolidation of the royal power in Joseon and the idea of governing the country. It has exerted a profound influence on the selection criteria of officials, the value orientation of scholar-officials, the educational content and teaching methods of traditional academies, and the formation of the ideology and culture of the Korean nation. The imperial examinations also greatly changed social consciousness and social structure. Moreover, it played an irreplaceable role in the five hundred years of the Joseon dynasty, which deposed other theories and respected the orthodox Confucianism. Therefore, the historical, political, ideological, cultural, ethical and other important factors in Goryeo and Joseon dynasty can be seen through the official examination papers and the imperial examination educational references circulating in the academy at that time. It is a precious key to the Joseon society in the past dynasties, and with high documentary value. The purpose of this paper is to study the trend of the research on the limperial examination’s documents of Joseon. That is, the paper aims at the current research progress in the field of limperial examination’s list, exam writings, examination papers and exercise methods. At the same time, the paper also puts forward some Suggestions on the future development prospects of the study of the limperial examination’s examination papers.
SISTEM PENDETEKSI BERITA HOAX DI MEDIA SOSIAL DENGAN TEKNIK DATA MINING SCIKIT LEARN

Currently social media (especially Twitter and Facebook), have become an alternative media for news dissemination, Data shows hoax news complaints reaching 5070 in 2017 (Damar, 2017) . In fact there is an increasing tendency to fabricate lies to cover up the truth or known as hocus to trick (Prasetijo et al., 2017) . Therefore it is necessary to develop a tool to detect whether a news is a hoax or not. To the best of our knowledge, there is no research in hoax detection system in Indonesian language except using text vector representations based on Term Frequency and Document Frequency as well as the Support Vector Machine and Stochastic Gradient Descent classification techniques with 60% of accuracy (Prasetijo et al., 2017) . Â It still needed a research to develop an integrated applications to detect hoax news on social media. Scikit - Learn is a python module that integrates various machine learning algorithms for medium-scale supervised and uncontrolled problems. This module is very efficient for data mining and data analysis (Jason, 2014) . By using python and scikit learn, machine learning models can be obtained for the detection of news hoaxes on social media. This research covers application development for pre-processing data based on data collected from Twitter and Facebook for 3 months, creating models with scikit learn and testing the model with actual news to check the accuracy of the model in detecting hoax news. The results of this study indicate that hoax news detection systems on social media can be done by creating a classification model with TF-IDF, CountVectorizer, PassiveAgressive Classifier and SupportVector Classifier. The model developed successfully shows whether a news is fake or real by looking at the accuracy of the vector classification results. The higher the accuracy of a news on the classification vector, the more easily known whether fake or real. Keyword : hoax detection, news, scikit learn, social media
Detecting Text in News Images with Similarity Embedded Proposals

Text extraction plays an important role in news images analysis tasks. Howerver, the conglutination of subtitles and station logos makes text detection challenging. In this paper, we develop an effective news text detection framework by introducing a novel similarity embedded proposal mechanism. The main idea is to predict similarity for each fine-scale coarse proposal to help construct text bounding boxes. Specifically, a CNN and bi-directional LSTM based network is used to produce vectors embedded in coarse proposals provided by Connectionist Text Proposal Network (CTPN). Notablely, similarity embedded proposal mechanism can be generalized to other sub-text level text detection models. Comparing to the state-of-the-art method (CTPN), our framework improves F-measure by 25.2% on our Private News Dataset and 8.9% on ICDAR 2013 benchmarks, respectively.
Bayesian Reasoning with Deep-Learned Knowledge

We use independently trained neural networks to represent abstract concepts and combine them through Bayesian reasoning to approach tasks outside their initial scope. Prior knowledge is provided by deep generative models and classification or regression networks are used to express knowledge on complex features of the system. The task at hand is then formulated as a Bayesian inference problem, which we approximately solve through variational or sampling techniques. We demonstrate how this leads to an alternative way to obtain conditional generative models. By imposing multiple constraints at once, we formulate riddles and solve them through reasoning. We also demonstrate how additional information on features can be combined with conventional noisy measurements to reconstruct high-resolution images of human faces.
Wearable Tracking Modules Based on Magnetic Fields

This work presents the development of a novel methodology in magnetic tracking (localization). Our approach is based on using the Jacobian matrix of the magnetic flux density from a dipole magnet. Magnetometers that will sense the magnetic flux density will thus be able to determine the position and orientation of a magnetic dipole source. This project leverages the development of an experimental platform that could be used within the health care domain. The use of this platform could be extended to different applications such as in space for monitoring astronauts during the execution of strength training and aerobic exercises, senior care for evaluating rehabilitation therapies, the assessment of human body movements of stroke survivors, as well as, other patients with sensorimotor disorders.
A Study on the Systematization of Middle and High School History Textbooks – Focusing on the Joseon Dynasty –

There have been arguments that the contents of history education should be organized systematically. Securing the affiliates in the history curriculum has also been tried in many ways and has been applied to actual school sites. But what is more necessary than the seemingly systematic presentation of this table of contents is the actual systematicization of historical content. Rather than simply differentiating the arrangement or composition of the table of contents, it is necessary to organize the contents of the course according to the students