Reviewerly/exHarmony huggingface dataset:
Multinomial Logistic Regression Model to Identify the Factors Associated with Academic Performance of Hearing Impaired Students of Some Selected Districts of Nepal

Background: Education for hearing impaired (HI) students is always challenging for schools, teachers, parents and even for students themselves. For their education, government has established special schools and included them in mainstream school with hearing peers also called integrated school. Although all these efforts for their education, their academic performance is affected by different factors.&#x0D; Objective: This study is focused to assess factors which affects the academic performance of HI students of Jhapa, Morang and Sunsari districts.&#x0D; Materials and Methods: This study is a cross-sectional study and based on primary data collected through structured questionnaire. Academic Performance is categorized as Below Average, Average and Good. A sample of 238 HI students from eleven schools of three districts were selected using two stage stratified random sampling methods. Sixty teachers were also chosen for assessing some variables. Data were analyzed using descriptive and inferential statistical methods. To determine the significant factors influencing the academic performance of HI students, Multinomial Logistic Regression (MNLR) model was used.&#x0D; Results: From the fitted MNLR model, variables like attendance [Odds Ratio (OR) =0.951], type of school (OR=27.39), level of study (OR=4.551), additional handicapping condition (OR=5.202), communication capacity of students (OR=9.477) and instructional material (OR=3.028) are found to be significant in the model Below Average versus Average level of academic performance of HI students. Similarly, the variables like type of school (OR=7.875 and 9.572), level of study (OR= 0.556), purpose of parents' visit (OR= 0.410) and instructional material (OR= 0.304) are found to be significant in the model Good versus Average level of Academic performance of HI students.&#x0D; Conclusion: The results of the study illustrates that several factors are associated with academic performance of HI students. Concerned authorities are suggested to provide suitable infrastructure, HI students friendly curriculum, special training to teacher and awareness to family, society and hearing peers to improve the academic performance of HI students.
Development of Simultaneous Inclusion and Correlation Visualization System Using Formal Concept Analysis and Quantification Theory Class III

In recent years, while data mining has attracted attention, formal concept analysis has the disadvantage that although it can understand the inclusion relation between attributes, it doesn’t know what kind of meaning or inclusion relation the attributes have. Therefore, in this study, the inclusion of the attributes and the visualization of the correlation are realized by combining the Hasse diagram by formal concept analysis and the layout diagram of the attribute of quantification theory type III for visualizing the meaning between the attributes. Moreover, in order to confirm usefulness of the proposed method, we developed a simultaneous visualization system of inclusion and correlation combining formal concept analysis and quantification theory type III, and evaluated the proposed method using verification data. As a result, it was confirmed that useful information that can’t be obtained only by formal concept analysis or quantification theory type III can be extracted.
Towards End to End head-free gaze classification

The study of gaze behavior benefits from the classification of the time series into distinct movement types, or events, such as saccade, pursuit, and fixation. Because the manual identification of events is time consuming and subjective, there is a need for automated classifiers. Although there are several solutions for the classification of the eye-in-head signal, there are no established solutions for classification of the coordinated movements of the eyes and head that will occur in less constrained contexts, for example, when wearing a virtual or augmented reality display. Our approach involves training various temporal classifiers on our new Gaze-in-Wild dataset, recorded from over 20 unrestrained participants and hand-coded by 5 practiced labellers. Subjects were instrumented with a 6-axis 100 Hz inertial measurement unit (mean drift: 0.03 deg/sec), a 30 Hz ZED stereo camera, and a 120Hz Pupil labs eye tracker (mean calibration AngError < 1 deg within 10 degrees from calibration pattern center) to record eye and head orientation. The effort culminated in over 2 hours and 20 minutes of hand labelled head-free gaze behavior data, with approximately 20000 detected fixational movements, 18000 saccades, 1400 pursuit events, and 4000 blinks. We use this hand labelled data to benchmark our dataset using standard machine learning classifiers and train our recurrent network model which leverages multiple Neural Arithmetic Logic Units to classify gaze behavior directly from raw, unfiltered eye-in-head and head vectors. Activation map of various hidden units provides insight on learned representations of eye and head coordination and velocity based feature representations which are directly comparable with hand-crafted features. The performance of our classifier is evaluated using various event based metrics and shows that it can attain near-human level classification (>kappa 0.70, event F1> 0.85).
Creating See-Around Scenes using Panorama Stitching

Image stitching refers to the process of combining multiple images of the same scene to produce a single highresolution image, known as panorama stitching.The aim of this paper is to produce a high-quality stitched panorama image with less computation time.This is achieved by proposing four combinations of algorithms.First combination includes FAST corner detector, Brute Force K-Nearest Neighbor (KNN) and Random Sample Consensus (RANSAC).Second combination includes FAST, Brute Force (KNN) and Progressive Sample Consensus (PROSAC).Third combination includes ORB, Brute Force (KNN) and RANSAC.Fourth combination contains ORB, Brute Force (KNN) and PROSAC.Next, each combination involves a calculation of Transformation Matrix.The results demonstrated that the fourth combination produced a panoramic image with the highest performance and better quality compared to other combinations.The processing time is reduced by 67% for the third combination and by 68% for the fourth combination compared to stat-of-the-art.
Applied compositional data analysis: with worked examples in R. PeterFilzmoser, KarelHron, and MatthiasTempl (2018). Springer Series in Statistics. Cham: Springer. 280 pages, ISBN: 978‐3‐319‐96420‐1

Biometrical JournalVolume 62, Issue 1 p. 250-252 BOOK REVIEW Applied compositional data analysis: with worked examples in R. Filzmoser, Peter, Hron, Karel, and Templ, Matthias (2018). Springer Series in Statistics. Cham: Springer. 280 pages, ISBN: 978-3-319-96420-1 Jan Graffelman, jan.graffelman@upc.edu Department of Statistics and Operations Research, Technical University of Catalonia, Barcelona, SpainSearch for more papers by this authorJosep Antoni Martín-Fernández, josepantoni.martin@udg.edu Department of Computer Science, Applied Mathematics and Statistics, University of Girona, Girona, SpainSearch for more papers by this author Jan Graffelman, jan.graffelman@upc.edu Department of Statistics and Operations Research, Technical University of Catalonia, Barcelona, SpainSearch for more papers by this authorJosep Antoni Martín-Fernández, josepantoni.martin@udg.edu Department of Computer Science, Applied Mathematics and Statistics, University of Girona, Girona, SpainSearch for more papers by this author First published: 18 September 2019 https://doi.org/10.1002/bimj.201900263Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat No abstract is available for this article. Volume62, Issue1January 2020Pages 250-252 RelatedInformation
Design and Development of Air Gesture Algorithm based on Video Processing

The increasing demand for Human Computer Interaction (HCI) has witnessed amazing innovations and prototypes that could be used in our day to day lives. Be it controlling TVs and mobile phones with hand gestures and even using gestures to operate systems, HCI has made interfacing with systems easy to operate. With such an intention of accessing systems and transportation making access easy to control and interface with motorised wheels, an air gesture algorithm has been developed. This paper focuses on developing the algorithm to identify hand from the background.
LibGuides: BEd Teacher Education: Journals subscriptions and Student Support collection

Library support for BEd Teacher Education students in Stranmillis University College Print journals available upstairs in Stranmillis Library
Aspek Motivasi dalam Novel Gading-Gading Ganesha (3G) karya Dermawan Wibisono Kajian Aspek Psikologi Sastra sebagai Bahan Ajar Sastra di SMA

The purpose of this research are (1) To describe a structure the Gading-Gading Ganesha (3G) novel by Dermawan Wibisono, (2) Describe the motivational aspects in the Gading-Gading Ganesha (3G) novel by Dermawan Wibisono, and (3) The implementation Gading-Gading Ganesha (3G) novel by Dermawan Wibisono as a literary teaching material in high school. This research is qualitative descriptive. The subjects of this researchwas novels Gading-Gading Ganesha (3G) by Dermawan Wibisono. Data collection techniques used documenting, listening, and noting. The data analysis technique used the semiotic reading method with heuristic and hermeneutic reading techniques. The validity of data used is data triangulation. The results of this research show (1) Structural analysis of the Gading-Gading Ganesha novel (3G) by Dermawan Wibisono, which has a progressive flow, has a theme fighting spirit in the life journey of ITB students to achieve career success that can also benefit the nation. Social background tells a struggle in the lives of six students who study at ITB with different regional backgrounds. The mandate of this novel is to teach someone not to give up. (2) There is motivational aspects of the Gading-Gading Ganesha (3G) novel by Dermawan Wibisono, namely achievement, affiliation, and power. (3) Novels in this research can be implemented as literary teaching materials in high school class XI, KD 3.11 Analyze the messages from one fiction book that is read, and KD 4.11 Arrange a review of messages from one read fiction book.
Triplet-Aware Scene Graph Embeddings

Scene graphs have become an important form of structured knowledge for tasks such as for image generation, visual relation detection, visual question answering, and image retrieval. While visualizing and interpreting word embeddings is well understood, scene graph embeddings have not been fully explored. In this work, we train scene graph embeddings in a layout generation task with different forms of supervision, specifically introducing triplet super-vision and data augmentation. We see a significant performance increase in both metrics that measure the goodness of layout prediction, mean intersection-over-union (mIoU)(52.3% vs. 49.2%) and relation score (61.7% vs. 54.1%),after the addition of triplet supervision and data augmentation. To understand how these different methods affect the scene graph representation, we apply several new visualization and evaluation methods to explore the evolution of the scene graph embedding. We find that triplet supervision significantly improves the embedding separability, which is highly correlated with the performance of the layout prediction model.
Migrant Teachers’ Self-Estimated Digital Competence: A Study Within Swedish Teacher Education

An increasing number of migrant teachers with a foreign teaching degree enter Swedish teacher education to complement their studies to become eligible to teach in Swedish schools. Digital competenc ...
Real-time Recognition of Smartphone User Behavior Based on Prophet Algorithms

Although the traditional physical password, fingerprint unlocking and facial features have improved the security to a certain extent, they have the characteristics of passive authentication and easiness to be stolen. The existing behavioral data collected based on mobile phone sensors is mainly used for human activity recognition and fall detection and health management. Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well. Based on the time series behavior data of mobile terminal users, this paper uses Prophet algorithm to decompose the time series of six kinds of daily behavior and strip off the singular value, to get the inherent cycle and trend of each behavior, and to verify the legitimacy of the behavior user at the next moment. The experimental results on the UniMiB SHAR public dataset show that the user only needs to do 2 cycles of specified actions to realize the prediction of the next time series. The main contribution of this paper is that we propose a new idea for smartphone user authentication. It is based on real-time data of smartphone user behavior, through Phophet algorithm for feature decomposition and time series prediction, and to find the inherent cycle and other characteristics, so as to perform user behavior recognition. This data-driven auxiliary authentication method can effectively solve the problem of easy forgery of static feature recognition such as password, fingerprint and face recognition.
VM migration using minimum migration time selection policy on virtual machines

The distributed computing focus incorporates virtualization of prerequisites resource, precedent amassing arrangement of standards virtual machine (VM) memory. The cloud data run gives momentous figuring condition; anyway essentially the ordinary utilization of cloud servers is low. The standard goal is to design the advantages in appropriated processing when stacks in the virtual machines are generous. The live movement (migration) of these VMs is familiar with gaining various favorable circumstances which generally consolidate vitality proficiency, high accessibility, equipment upkeep, Proactive adaptation to non-critical failure and outstanding task at hand adjusting. This paper cements diverse successful procedures of choice strategy for relocating VM, alongside I had played out the arrangement which demonstrates for better moving time in examination of others.
Exploring Talents Training Model in Applied Universities—Taking the School of Economics and Management of Chengdu Technological University as an Example

The aim of applied universities is to train high-quality application-oriented talents, and to achieve this goal through the integration of industry and education, school-enterprise cooperation and so on. The training of applied talents requires to meet the needs of industry in terms of knowledge, ability and quality. Based on Chengdu, serving Sichuan, facing the West and radiating the whole country, the School of Economics and Management of Chengdu Technological University has made great efforts to train high-quality applied economic and management talents adapting to local social and economic development and industrial technological progress. It has made a lot of exploration and practice in personnel training mode, curriculum setting, practical teaching and the construction of teaching staff.
L’ordinanza n. 207/2018 della Corte costituzionale, pronunciata nel corso del “Caso Cappato”, e il diritto del paziente che rifiuta le cure salvavita a evitare un’agonia lenta e non dignitosa

The article analyzes the content and the consequences of the recent order n. 207/2018 of the Constitutional Court, which has been pronounced on the constitutional review of the criminal provision about “assisted suicide” (art. 580 Criminal Code), as requested by the Court of Assize in the “Cappato’s case. In that order, the Court have affirmed the compelling interest of the State in protecting the life of the human person against interventions by third parties in helping one to suicide, under the constitutional personalist principle (art. 2 Const.). At the same time, the Court has recognized a new right of the competent patient, who is dependent from life-saving medical treatments, to ask the physicians for obtaining death with a lethal substance, after the refusal of the life-sustaining machines, in order to avoid a slow dying-process considered against his dignity (art. 3 and 32 Const.). A right that has to be implemented by the Parliament in the next months (and the article discuss what will happen if the Parliament will not intervene) and that may also be extended to the patients irreversibly unconscious, who have refused life-prolonging treatments in a living will.
Keynote Speaker: Let's Unleash Entertainment! VR Possibilities Learned through Entertainment Facility “VR Zone”

We have developed and operated 23 different VR activities while developing/expanding our VR Entertainment Facility VR ZONE throughout the years in Odaiba (2016), Shinjuku (2017), and Osaka (2018). Leaning on these experiences, we will share some of our know-how regarding VR Entertainment's qualities/development as well as future possibilities of VR Entertainment.
Arabic Literature Goes Digital

This chapter provides the historical context in which Egyptian blogs appeared. Drawing on ethnographic research on the Internet and in the Egyptian literary sphere, it shows that the introduction of Internet tools in the Arab world was soon accompanied by the emergence of numerous platforms for distributing and discussing Arabic literature, such as forums, literary websites, online publishing houses, the Internet Arab Writers Union, and so on. This atmosphere was conducive to the adoption of blogs as a platform for literary experimentation in Egypt. The chapter then focuses on blogging in the Arab world and in particular in Egypt, providing a short history of its development. It also addresses how Internet media have affected Arabic literature as a tool for publishing and distribution, as in the case of book-blogs.
Motivasi Belajar Bahasa Mandarin Murid Kelas II SMP Sekolah Minggu Buddha Maitreya Medan

The goal of this research was to find the effect of reinforcement on the kindergarten B students’ learning achievement in Mandarin vocabulary. The researcher used quantitative with quasiexperiment type and pre-test and post-test design. The sample of this research was all of the kindergarten B students at Picket Fence Pre-School, specifically experimental group consisted of 20 students and control group 20 students. The hypothesis was that there was an effect of reinforcement on students’ learning achievement in Mandarin vocabulary. The t-test result showed that reinforcement had a significant effect on students’ achievement in vocabulary. The post-test result in experimental group was 87,5; while the post-test in control group was 79,5. It was found that tcount &gt; ttable with tcount was 2 while ttable was significantly 5% with dk = 38 that was 1,69. Thus, Ha was accepted and Ho was rejected. Based on the explanation above, it was concluded that reinforcement had a significant effect on kindergarten B students’ learning achievement in Mandarin vocabulary at Picket Fence Pre-School.
빅데이터를 활용한 테러리즘 관련 언론보도 토픽분석 : 모술탈환 작전 전후 시기를 중심으로

This study analyzed the main topics of news articles related to terrorism using LDA technique of topic modeling. To this end, from June 2014 to May 2019, we extracted topics from media articles on terrorism in 36,436 cases, and analyzed the major trends by period (fall of Mosul, Battle of Mosul, retake the city of Mosul). The main analysis point of the this study was before and after Battle of Mosul. Because We thought that key word in terms of the spread and impact of international terrorism is the ISIS and the major events related to the expansion, contraction and diversification of the ISIS forces are the Battle of Mosul. Main research methodology is topic analysis Because we can quantitatively analyze the contents of a large volume of articles related to terrorism. In addition, we analyze topic modeling to discuss the issue of terrorism articles and policy issues by analyzing major topics. The purpose of this study is to investigate how the central theme of the news articles related to the aspects of terrorism has been changed, And to examine trends. Based on this, it was possible to derive some implications on major trends in the major topics of the media reports on terrorism and in the media reports on terrorism.
A Dual Camera System for High Spatiotemporal Resolution Video Acquisition

This paper presents a dual camera system for high spatiotemporal resolution (HSTR) video acquisition, where one camera shoots a video with high spatial resolution and low frame rate (HSR-LFR) and another one captures a low spatial resolution and high frame rate (LSR-HFR) video. Our main goal is to combine videos from LSR-HFR and HSR-LFR cameras to create an HSTR video. We propose an end-to-end learning framework, AWnet, mainly consisting of a FlowNet and a FusionNet that learn an adaptive weighting function in pixel domain to combine inputs in a frame recurrent fashion. To improve the reconstruction quality for cameras used in reality, we also introduce noise regularization under the same framework. Our method has demonstrated noticeable performance gains in terms of both objective PSNR measurement in simulation with different publicly available video and light-field datasets and subjective evaluation with real data captured by dual iPhone 7 and Grasshopper3 cameras. Ablation studies are further conducted to investigate and explore various aspects (such as reference structure, camera parallax, exposure time, etc) of our system to fully understand its capability for potential applications.
Study on Korean misuse cases in errors in usage of Chinese : Focusing on Korean Language Interference Factors.

This paper focuses wishes to analyze the negative transition of language intervention that appears to Korean language learners to learn Chinese in terms of syntactic and lexical aspects. This paper is organized as Korea and Chinese writing students are often classified as committing an error phenomenon in vain due diligence and focuses on the usability of the different countries of the Chinese character and the similarity of Hanzhong vocabulary. Then through case analysis to systematize its failure trends. Also examine for errors in word order when used in word order, sentence vocabulary of Chinese character from the syntactic aspects. The same boa look at the overall trend of Chinese language usage errors due to interference by the central case study to present a more effective Chinese teaching them how to feedback, and laid the foundation of the new Chinese learning method.
Auto white balance stabilization in digital video

Auto white balance (AWB) plays a key role in a digital camera system, and determines image quality to a large extent. Existing AWB algorithms are not completely reliable and often produce inconsistent temporal estimates for consecutive frames, resulting in abrupt color changes in the output video stream. This paper presents an efficient approach to stabilize AWB estimates in a video by detecting scene and/or light source changes and adaptively setting appropriate convergence times.