Reviewerly/exHarmony huggingface dataset:
HE VIDEO COURSE OF FOREIGN LANGUAGE: FOCUS ON STUDENT`S AUTONOMOUS ACTIVITY

The goal of the research is supporting the orientation of the foreign language communication in the university on the onomous activity.The organization of classroom studies and selfself-development and self-improvement.The research is based on theoretic and empiric methods: the analysis of psycho-pedagogic literat extrapolation the psycho-pedagogic theory on supporting the characteristics of linguo-didactic technology; the simulation of educational technology and predictive modeling of its characteristics during the educational process; the testing studying « Videocourse of first foreign language » (2015-2019).The author of this article defines autonomy as the main orientation of the student work in the videowatching and discussing the audio-visual Internet materials.The interconnection of creativity and autonomous activity is based on strong motivation and emotions caused by the variety of materials and vivid images created by multimedia technologies.The result of the research is an approved technology comprising particular strategies and methods for studying the discipline -course of first s as they have an aim to use the understood information not only during lessons, but also during the communicative situations.
7.1: Invited Paper: To see or not to see The Human Centric Lighting is There to Be

SID Symposium Digest of Technical PapersVolume 50, Issue S1 p. 57-57 Technical Sessions: Session 7: Lighting, Human Centric, Display and Engineering (Lighting) 7.1: Invited Paper: To see or not to see The Human Centric Lighting is There to Be Qiu-Hong Hu, Qiu-Hong Hu SENSING OPTRONICS CO. LTD., Hangzhou, 310013 P. R. ChinaSearch for more papers by this author Qiu-Hong Hu, Qiu-Hong Hu SENSING OPTRONICS CO. LTD., Hangzhou, 310013 P. R. ChinaSearch for more papers by this author First published: 04 October 2019 https://doi.org/10.1002/sdtp.13386AboutPDF 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume50, IssueS1International Conference on Display Technology (ICDT 2019)September 2019Pages 57-57 RelatedInformation
Development Of Ict Сompetence Of Future Tutors By Means Of E-Portfolio

The paper is devoted to the development of ICT competence of future educators specializing in tutoring in conditions of digitalization of modern society. The goal of the study is to substantiate methodological approaches and describe methodological solutions for ICT competence development and determine its levels in the electronic educational environment of a federal university by means of electronic portfolio in accordance with the modern academic and professional standards. Future tutors should possess ICT competence to improve their qualifications lifelong for effective professional activity. The research involved 149 students enrolled in Pedagogical Education (area of specialization “Tutor”) at the School of Education, Psychology and Sociology, Siberian Federal University. The results of the research include a methodology for developing ICT competence, and the level model of its formation by means of electronic portfolio, and their probation. The methodology was designed for Bachelor’s program students − future tutors – and implemented in the teaching and learning process. Most of the students who participated in the experiment demonstrated productive and constructive levels of ICT competence. The main outcomes of the research can serve the basis for further developments in the field of effective developing professional ICT competence in training future educators specializing in different areas taking into consideration the requirements of academic and professional standards.
E-Commerce of Online Store Application at Kstore Kalbis Insitute

Kalbis Institute Cooperative is an association established at Kalbis Institute, one of the private universities in East Jakarta. One of the business activities in this Cooperative is buying and selling merchandise contained in a store called Kstore. Currently, the Kstore sales system is still conventional waiting for customers to come to the store so it is less effective because the customer must come directly to the store to find and choose the desired goods. E-commerce is a process of selling and purchasing products or services that are done electronically through a computer network or internet. E-commerce can be used in managing Kstore to improve and simplify business process activities. This study aims to build Kstore merchandise buying application online. System development method used is Web Development Life Cycle (WDLC). The results of this research is e-commerce website to facilitate customers in conducting transactions as well as promotions or product offerings, and ordering products anytime and anywhere by utilizing internet technology.
DualSkin: ambient electric field sensing wearable.

Humans are capable of identifying and categorizing objects in their environment with the aid of their sensory organs. DualSkin is a wearable which equips the user with ambient electric field sensing. The aim of the project is to develop a new sense that will increase peripersonal space, alter the human perception and their relationship between electronic, organic and inorganic objects that surrounds our lives. Dual-Skin is a vest that uses a circuit which consists of embedded micro-controllers, sensors, and actuators. It uses capacitive sensors to sense surroundings and uses electrical stimulation as a feedback mechanism around the user's waist.
Kidney and Kidney-tumor Segmentation Using Cascaded V-Nets

Kidney cancer is the seventh most common cancer worldwide, accounting for an estimated 140,000 global deaths annually.Kidney segmentation in volumetric medical images plays an important role in clinical diagnosis, radiotherapy planning, interventional guidance and patient follow-ups however, to our knowledge, there is no automatic kidneytumor segmentation method present in the literature.In this paper, we address the challenge of simultaneous semantic segmentation of kidney and tumor by adopting a cascaded V-Net framework.The first V-Net in our pipeline produces a region of interest around the probable location of the kidney and tumor, which facilitates the removal of the unwanted region in the CT volume.The second sets of V-Nets are trained separately for the kidney and tumor, which produces the kidney and tumor masks respectively.The final segmentation is achieved by combining the kidney and tumor mask together.Our method is trained and validated on 190 and 20 patients scans, respectively, accesses from 2019 Kidney Tumor Segmentation Challenge database.We achieved a validation accuracy in terms of the Sørensen Dice coefficient of about 97%.
Systematic literature review of fuzzy logic based text summarization

Information Overloadrq  is not a new term but with the massive development in technology which enables anytime, anywhere, easy and unlimited access; participation & publishing of information has consequently escalated its impact. Assisting userslq  informational searches with reduced reading surfing time by extracting and evaluating accurate, authentic & relevant information are the primary concerns in the present milieu.  Automatic text summarization is the process of condensing an original document into shorter form to create smaller, compact version from the abundant information that is available, preserving the content & meaning such that it meets the needs of the user. Though many summarization techniques have been proposed but there are no lq silver bulletsrq   to achieve the superlative results as of human generated summaries. Thus, the domain of text summarization is an active and dynamic field of study, practice & research with the continuous need to expound novel techniques for achieving comparable & effectual results. Fuzzy logic has appeared as a powerful theoretical framework for studying human reasoning and its application has been explored within the domain of text summarization in the past few years. This paper is a systematic literature review to gather, analyze, and report the trends, gaps and prospects of using fuzzy logic for automatic text summarization on the basis of the findings in original studies.
Learner Perceptions of Using Machine Translation Tools in the EFL Classroom

There is growing interest in the use of machine translation (MT) as tools to scaffold second and foreign language learning. However, at present, there is minimal investigation of EFL learners’ perceptions of using MT tools to facilitate their academic reading in EAP classes. To explore EFL learners’ views on using MT in an EAP class, participants were introduced to online translation tools and given time to read research articles. They then completed a survey of their perceptions of MT. In accordance with previous research, results indicated that most participants spent less than a quarter of their time using MT. They typically used MT to translate the articles they were required to read for the class and translated materials tended to be words and phrases. In general, as with findings from prior studies, learners perceived MT to be useful as well as facilitating their L2 literacy. Particular strengths mentioned included convenience and ability to read text faster. Limitations mentioned included doubts about the veracity of translations, over-reliance on MT, and suspicions about long-term retention of new vocabulary learned through MT. Based on these findings, we can conclude that MT has the potential to be a valuable tool in the EAP classroom.
30.1: Invited Paper: Novel Emissive Projection Screen for Advanced Display Applications

A novel emissive projection display (EPD) was recently developed in Sun Innovations. It comprises of a fully transparent emissive screen made from a set of fluorescent nano‐materials, and a dark light digital image projector. The haze‐free emissive screen can be applied to any glass windows or windshield, without affecting visible light transmission. The digital “excitation” projector can be built on either a DLP (digital light processor) or a laser scanner display engine. This display combines the best of both world from conventional projection and emissive display technologies. Like projection display, the screen has no pixel structure and can be manufactured roll‐to‐roll; the display is scalable. Like plasma or CRT, the display is emissive with superior image quality and large viewing angles. It enables a fully transparent display on windows or windshields. The transparent emissive coating can also be applied to a pitch‐black substrate, for an innovative front projection display on black screen, with superior image contrast at low projection power. In this article, a full‐color EPD will be presented, with a color Gamut approaching 100% of HDTV color standard (Rec.709). This fundamentally new display platform can enable multiple major commercial applications, including a fully‐transparent emissive display on the glass window of vehicles and buildings with unlimited viewing angles. It also projects a high‐contrast emissive display on a pitch‐black emissive screen in ambient light, with similar image quality as OLED.
The Impact of English Speed Reading Practice on English Adult Learners’ Self-efficacy in English College Classes

This study aimed to examine the relationship between speed reading of English adult learners and their self-efficacy. Non-traditional learners is likely to lose their confidence in learning English more than traditional ones due to returning to school after a long time. In that self-efficacy, broadly equal to confidence, can develop when learners successfully complete a task, it is possible for adult learners to have high self-efficacy using successful speed reading activity, which makes them feel fluent. In this study, two kinds of questionnaires designed for measuring their self-efficacy and observing their attitude for English learning were distributed to first-year adult learners participating in college English course. And a semi-structure interview with open-ended questions was used to gather information about some participants’ opinions through speed reading practice. The results showed that the participants were able to increase their self-efficacy of English listening and speaking skill as well as English reading skill except for English writing skill, which was not taught and was not engaged in the activity. And it was found that they had more positive attitudes including fun, interest and self directed learning towards English reading speed activity in college English classes.
Demonstrating quantum advantage with practical photonic systems

We discuss examples of demonstration of advantage in security and efficiency due to the use of quantum resources for useful applications in the context of quantum networks, including quantum cryptographic tasks and quantum communication complexity.
Aplikasi Pengenalan Rambu Lalu Lintas Bilingual Berbasis Android

Modern times have indeed changed all human lives, not least in the use increasingly sophisticated mobile phone. One of the android-based mobile phones has now become a basic necessity for the community both lower and upper classes. This research was written based on a survey stating the high level of accidents on the highway due to lack of understanding and lack of awareness of the public to wards traffic signs set by government. By using this android application is a means to introduce traffic signs to people who do not understand about traffic signs, especially underage children. This android application will be built using Java JDK (Java Development Kit), android Studio settings and SDK along with PDA Net. This application has passed Black Box testing and user testing. In Black Box testing the application can run well according to the initial plane of the researcher and on the implementation of this application on various android devices with different brands, different android versions and different hardware specifications. It turns out that this application can run well so that it can be passed Black Box test. Than on user testing, namely by distributing questionnaires to 34 respondents, the results of the questionnaire also showed good results, the average percentage of respondents answers from statements 1 to 10 reached 86,52%.
Relationship between visual therapy vectograms and accommodative parameters in young healthy subjects

<strong>Purpose</strong>: Tranaglyphs and Vectograms are visual therapy material based on red/green or polarized targets respectively that used similar but slightly different images for each eye to train fusion and vergence skills. This study aimed to analyse the relationship of three accommodative parameters (the Negative Relative Accommodation [NRA], the Positive Relative Accommodation [PRA] and the Accommodative Amplitude [AA]) with the results of four different visual therapy vectograms/tranaglyphs. <strong>Material and methods</strong>: 45 subjects free of any accommodative or binocular problem were recruited among students attending the Optometry Clinic of the Optometry Faculty (USC). In a first session, the accommodative tests were performed according to their standard protocols. In a second session, following manufacturer’s instructions, the subjects performed in a random order four different calibrated vectograms/tranaglyphs: two red/green Variable Demand Anaglyphs (one based on circles [VDA-C] and one on draws [VDA-D]), one red/green Fixed Demand Anaglyph [FDA], and one polarized with Variable Demand [VDP]. Subjects were asked to indicate the maximum value both base-out (BO) and base-in (BI), where the image fusion was lost. <strong>Results</strong>: NRA showed a negative correlation with the BO results of the VDP (p = 0.040, r = -0.270). PRA showed a negative correlation with the BO results of the VDA-C, the VDA-D and the VDP (all p &le;0.017, r &ge; -0.323). AA showed a positive correlation with the BI results of the VDA-D, the FDA, and the VDP (all p ≤0.013, r &ge;0.341). <strong>Conclusion</strong>: Accommodation seems to have some influence on the visual therapy training with vectograms and tranaglyphs.
Blockchain as a service (Baas): A multi-domain perspective

This study conceptualizes Blockchain as a Service (BaaS) based on the premise that Blockchain performs valuable actions (e.g. distributive ledger, immutability (Constantinides et al. 2018; Eyal et al. 2016), which fulfil specific demands (e.g. transactional security, fostering trust) (Iansiti and Lakhani 2017; Tapscott and Tapscott 2017). BaaS is observed disrupting incumbent processes and creating value exchanges across domains. Given its foundational and disruptive nature, different domains namely information technology (e.g. Information Systems [IS]), industry sectors (e.g. Law), economic entities (e.g. types of markets) offer differing etymological perspectives that reflect its use, impact and value. Our study based on archival analysis presents three perspectives in the above-mentioned domains to enhance understanding of diffusion of BaaS. The usability and acceptability elements of disruptive innovation are considered in the analysis.
Establishing News Credibility using Sentiment Analysis on Twitter

The widespread use of Internet has resulted in a massive number of websites, blogs and forums.People can easily discuss with each other about different topics and products, and can leave reviews to help out others.This automatically leads to a necessity of having a system that may automatically extract opinions from those comments or reviews to perform a strong analysis.So, it may help out businesses to know the opinions of people about their products/services so they can make further improvements.Sentiment Analysis or Opinion Mining is the system that intelligently performs classification of sentiments by extracting those opinions or sentiments from the given text (or comments or reviews).This paper presents a thorough research work carried out on tweets' sentiment analysis.An area-specific analysis is done to determine the polarity of extracted tweets for make an automatic classification that what recent news people have liked or disliked.The research is further extended to perform retweet analysis to describe the re-distribution of reactions on a specific twitter post (or tweet).
Designing Collaborative Data Collection Interfaces for Low-literate Users

Data collection applications on smartphone devices support indigenous communities in developing countries to record and preserve traditional ecological knowledge, collaboratively collect data around issues that are important to them and use these tools to subsequently identify locally-acceptable solutions with global impacts. Development of these interfaces needs to consider users’ familiarity with technology as well as their education and literacy levels. This study builds on existing HCI4D research, which is also of interest to the CSCW community, in order to develop and evaluate, for their usability and user preferences, four user interfaces with low-literate people in the UK. Our findings suggest that linear navigation structures and a tangible interface are almost equally usable and preferred when they require minimum interaction with the device. Our preliminary analysis provides a deeper insight into the design issues to inform development of smartphone-based interfaces using various interaction types and we report on our methodological challenges from carrying out HCI research with low-literate people in the UK. The findings of this paper are used to inform the experimental design of additional work that we carry out with low-literate users in Namibia.
A CBR MAC/FAC Approach for Cloud Management

In modern working world, efficiency is important. This includes the execution of workflows. Cloud computing offers is costumers, pay as you go pricing models which can be used to improve the cost efficiency of workflows execution. To benefit form this pricing model, a smart cloud management concept to assign tasks to cloud resources is required. Simple solutions struggle with over-, and under-provisioning problems or lack the needed flexibility. In this paper we present our CBR approach with MAC/FAC similarity function and experiments for task placements in cloud computing. Therefore we implemented a prototype and compared the results with the results of human experts.
Handling annotation uncertainty in human activity recognition.

Developing systems for Human Activity Recognition (HAR) using wearables typically relies on datasets that were manually annotated by human experts with regards to precise timings of instances of relevant activities. However, obtaining such data annotations is often very challenging in the predominantly mobile scenarios of Human Activity Recognition. As a result, labels often carry a degree of uncertainty-label jitter-with regards to: i) correct temporal alignments of activity boundaries; and ii) correctness of the actual label provided by the human annotator. In this work, we present a scheme that explicitly incorporates label jitter into the model training process. We demonstrate the effectiveness of the proposed method through a systematic experimental evaluation on standard recognition tasks for which our method leads to significant increases of mean F1 scores.
InDexMo: exploring finger-worn RFID motion tracking for activity recognition on tagged objects.

This work explores and evaluates the designs of finger-worn radio-frequency identification (RFID) motion tracking for activity recognition on tagged objects. We propose an index-finger-worn device that consists of a short-range (~2cm) RFID reader and a pair of two inertial measurement units (IMUs), which are mounted at the locations where an artificial nail and a ring are worn. The short-range RFID reader recognizes the tagged object on finger touch, and then the IMU data are used for activity recognition. Data collected from the user of this device allows for a post-hoc analysis, which informs the activity recognition performance in various RFID+IMU and IMU-only configurations on the same task. The results of a ten-participant user study show that when the objects have similar physical form factors, the hybrid RFID motion tracking significantly outperforms the IMU-only tracking, especially in a larger-number set of objects. In our test, three IMU configurations (i.e., NailOnly, RingOnly, and Nail+Ring) achieved comparable action recognition performances, i.e., ≥90% accuracy, with 500 ms recognition time, though the NailOnly RFID+IMU configuration provided the highest wearability. The practical challenges toward a real-world deployment of a finger-worn RFID motion tracking system are also discussed.
Augmented Reality App for Teaching OOP

Now a days, there is demanding needs of developing interactive mediums of study.As our conventional methods of learning are not very effective.Programming has become one of the core subjects of every field of study due to their vast use.However, introducing computer programming to those students who's are not familiar with programming is a tough task.Use interactive learning through visual effects using AR (Augmented Reality) developed to provide a platform for new students to interact more in learning environment.As this learning environment becomes more effective it is easier for new comers to understand key concepts of programming more effective way.