Reviewerly/exHarmony huggingface dataset:
MAPREDUCE TABANLI BİR DAĞITIK KOMBİNE DUYGU ANALİZİ MODELİ VE UYGULAMASI

In this study, in order to eliminate the performance losses experienced in the processing of big data, a distributed combined model working on the Hadoop ecosystem was designed and developed. A new model was used by combining dictionary-based methods and machine learning-based methods which are commonly used in sentiment analysis. The combined model we developed has been programmed and implemented as both the distributed version on Hadoop architecture and the serial version on traditional programming architecture and performance results has been compared and reported. Parallel model on Hadoop Distributed File System, which we believe will contribute significantly to the literature, developed it in this study process, and used in big data analysis, has achieved a higher performance by significantly eliminating performance losses. In addition, with this study, it is aimed to keep a perspective on the migration-migrant-refugee-immigrant problem, which concerns many countries of the world. Twitter users in European countries were selected as the target audience. It has been determined that the perceptions of Twitter users included in the analysis vary by country. The results of the study showed that the reflex and reactions to the immigrant problem can vary from country to country. It is thought that these results also provide important data to the researchers.
Designing of Android Based Learning (Mobile Learning) For Multimedia Students

The purpose of this study to create learning media M-Learning to support the learning process in the Multimedia Vocational High School and know the level of prevalence and M-Learning as a medium of learning. With research and development research model, this media was developed using Android Studio. The result of this research is a dynamic Android-based application that runs online as a supporter of learning. From the results of validator assessment and student response can be obtained from the media expert value obtained 65% in the sense of valid, get a low score due to after making many revisions of the application. From the material experts get the value of 85% which means valid. The students' responses, a validity score of 94.7% is obtained which is included in a very valid category used. The conclusion shows that by validator assessment the learning media can be used as supporting in self-study.
Peningkatan keterampilan sosial pada pembelajaran IPS melalui model teams games tournament (TGT) peserta didik kelas IV sekolah dasar

The purpose of this study is to boost social skills by implement the Teams Games Tournament (TGT) model. This research is a Classroom Action Research with two cycles. The subjects of this study were grade 4th students in SD Negeri 2 Karangasem Surakarta in the academic year 2019/2020, amounting to 31 students. This study uses data collection techniques in the form of interviews, observations, and documentation with data analysis of content validity and triangulation. Analysis of the data used is the Miles-Huberman interactive analysis model. The first cycle produces a percentage of 61.29% classically, and the study continues with the second cycle with a percentage of 80,64% classically. Based on the results obtained , it can be concluded that social skills in students of SD Negeri 2 Karangasem Surakarta in the 2019/2020 academic year could be upgraded with Teams Games Tournament (TGT) model.
CASE STUDY OF LIBRARY MANAGEMENT IN SD INPRES 2 MENSUNG, PARIGI MOUTONG

Teachers Training and Education faculty Madako University. Realized to imported of imformation that on the library to using, there for librarian or organized must to appropriated served with the purpose and library fungtion have diceded. Then, librarian must teaching and aims to library visitor in searching the books materials to need. On The other hand, this research to purpose for knows how to librarian served. Infraastructure, organized and preservation books materials in the librarian SD Inp 2 Mensung This research is descriptive research observation, interview and documentation used in data collected, and the total subject is 3 people’s. There are head of librarian and 2 students, based on criterian students that choos which had permanent by the researcher that is the students can give accurated information. The result of this research sumarize that librarian played in give the saved to librarian visitor as maksima, but will in matthen suply the material books and aad book collection by librarian did steel less.
تصور مقترح لتطویر إدارة السکرتاریة والمحفوظات وملفات الخدمة بجامعة الإسکندریة

Administrative documents are the backbone and cornerstone of any party that practices public work, as they provide various institutions and bodies with data and information necessary to perform their tasks, accomplish their work and take appropriate decisions.The study found that the files are located in separate keeping rooms for the employees, and the space allocated for keeping files is insufficient, and the number of employees is appropriate. The study also indicated that the mechanism of work in the Service Files Section for faculty and staff members records and digitizes all files in the status register, and is entered and numbered All files are in an electronic record, and you also notice the presence of a scout to summon the metadata of the files and the presence of service files in a special central archive room, this is due to the desire of the department's employees for development work, and you notice that there is joint cooperation between the permanent committee for archives and the archive to activate its role in preserving active documents and dispensed documents According to the legal preservation periods, the researcher found that filing rooms are overcrowded with files and papers in violation of the standards of the preservation system, security, safety and occupational health and the files are stored on open carriers
Information content of statistical texture features in the problem of recognition and mapping of natural and man-made objects from space images

Statistical texture features are frequently used for the thematic processing of very high spatial resolution satellite images. The assessment of information content of 1st and 2nd order statistics is carried out based on processing WorldView-2 images of test areas located on the territory of the Savvatyevskoe forestry and employing the corresponding ground-based data. The comparison of the accuracy and computational efficiency of traditional and ensemble classifiers in the problem of pattern recognition of various natural and man-made objects reveals the high performance of the error correcting output codes method. The estimates obtained in this study demonstrate the advantage of using ensemble classification and 2nd order statistical texture features.
Framework for Evaluation of Explainable Recommender System

Explainable recommendation system (ERS) in addition to recommending items to the user also explains why the recommendation is being made. Explanations improve user acceptance and system transparency. Since every recommender system (RS) has some strength and weakness, a combination of RS may be required to demonstrate both performance and explainability. In this paper, an innovative framework is proposed for systematic evaluation of different configuration of ERS compared with respect to performance and explainability of RS recommendations. Framework uses a novel approach to configure RS with different types of recommender models, hybridization of recommender models to create new models, well-defined metrics to compare performance and explainability of recommendation given by ERS. Simulation experiments show the efficacy of the framework in helping users gain insight into how various components of ERS effect explainability and recommendation quality.
Open Source Framework for Enabling HPC and Cloud Geoprocessing Services

Geoprocessing is a set of tools that can be used to efficiently address several pressing chal-lenges for the global economy ranging from agricultural productivity, the design of transport networks, to the prediction of climate change and natural disasters. This paper describes an Open Source Framework developed, within three European projects, for Ena-bling High-Performance Computing (HPC) and Cloud geoprocessing services applied to agricultural challenges. The main goals of the European Union projects EUXDAT (EUro-pean e-infrastructure for eXtreme Data Analytics in sustainable developmenT), CYBELE (fostering precision agriculture and livestock farming through secure access to large-scale HPC-enabled virtual industrial experimentation environment empowering scalable big data analytics), and EOPEN (opEn interOperable Platform for unified access and analysis of Earth observatioN data) are to enable the use of large HPC systems, as well as big data management, user-friendly access and visualization of results. In addition, these projects focus on the development of software frameworks, and fuse Earth-observation data, such as Copernicus data, with non-Earth-observation data, such as weather, environmental and social media information. In this paper, we describe the agroclimatic-zones pilot used to validate the framework. Finally, performance metrics collected during the execution (up to 182 times speedup with 256 MPI processes) of the pilot are presented.
ANXIETY AND DEFENSE MECHANISM OF ARTHUR DIMMESDALE AS REFLECTED IN THE SCARLET LETTER NOVEL BY NATHANIEL HAWTHORNE

This study explained the anxiety of Arthur Dimmesdale as the male character in The Scarlet Letter novel written by Nathaniel Hawthorne. The main goals of this study were to explain the anxiety of Arthur Dimmesdale based on personality theory by Sigmund Freud. This study used descriptive qualitative methods. The data was collected from the novel in the form of monologues, dialogues, and prologues. Reading the novel, identifying the data, classifying the data, and reducing the data were some steps used to collect the necessary data. According to Sigmund Freud personality theory, this study found the anxieties of Arthur Dimmesdale in The Scarlet Letter novel, which was published in 1850. They were neurotic and moral anxiety. Those anxieties could be seen when Arthur Dimmesdale felt uncomfortable and guilty for hiding the truth about his being an adulterer in front of Puritan society during his life. He also made his partner, Hester Prynne be punished alone and lived far from townspeople for seven years. Keywords: Sigmund Freud, The Scarlet Letter, Arthur Dimmesdale
WT: Wipro AI Submissions to the WAT 2020.

In this paper we present an English–Hindi and Hindi–English neural machine translation (NMT) system, submitted to the Translation shared Task organized at WAT 2020. We trained a multilingual NMT system based on transformer architecture. In this paper we show: (i) how effective pre-processing helps to improve performance, (ii) how synthetic data through back-translation from available monolingual data can help in overall translation performance, (iii) how language similarity can aid more onto it. Our submissions ranked 1st in both English to Hindi and Hindi to English translation achieving BLEU 20.80 and 29.59 respectively.
YolactEdge: Real-time Instance Segmentation on the Edge (Jetson AGX Xavier: 30 FPS, RTX 2080 Ti: 170 FPS)

We propose YolactEdge, the first competitive instance segmentation approach that runs on small edge devices at real-time speeds. Specifically, YolactEdge runs at up to 30.8 FPS on a Jetson AGX Xavier (and 172.7 FPS on an RTX 2080 Ti) with a ResNet-101 backbone on 550x550 resolution images. To achieve this, we make two improvements to the state-of-the-art image-based real-time method YOLACT: (1) TensorRT optimization while carefully trading off speed and accuracy, and (2) a novel feature warping module to exploit temporal redundancy in videos. Experiments on the YouTube VIS and MS COCO datasets demonstrate that YolactEdge produces a 3-5x speed up over existing real-time methods while producing competitive mask and box detection accuracy. We also conduct ablation studies to dissect our design choices and modules. Code and models are available at this https URL
Secured Cloud for Health Care System

Cloud Computing is becoming most popular storage technology in recent years. It has also become the most needed technology for IT industry. The cloud networks are at a rapid pace due to the benefits like cost-effectiveness, scalability, reliability and flexibility. At the same time, security is the major challenge for cloud technology which has to be solved. This paper deals with the issues related to authentication, controls related to access, security and services based on gesture recognition with an accelerometer. In this paper, it provides a dynamic authentication that uses information from the sensory unit for controlling the access of cloud-based applications. It demonstrates the various important key space increase with information from the sensory unit and different sensors with improved authentication that can help in achieving much better accuracy effectively and efficiently.
SEESAW PLATFORM FOR CREATING A DIGITAL STUDENT PORTFOLIO

SEESAW is just one of many educational applications that have improved the learning routine in the 21st century. The application has gained popularity as an educational platform with which we can create a student portfolio and is a good way to show the achievements and progress of students’ skills. Free and easy to use Seesaw allows teachers to create their own virtual classroom. It is available both from a computer and from digital devices with Android, IOS , Chromebook. The platform provides an opportunity for active participation of students in the classroom and at home. Creates relationships between teacher, student and parent. Here teachers can implement various activities and projects, share them with their students and follow their work. Seesaw has great tools where students have the opportunity to draw, share links, record video and audio, make notes.
The Argumentative Dimensions of Non-Suicidal Self-Injury (NSSI) in People With Autism-Spectrum Disorders (ASDs)

Like other populations and publics, people with autism-spectrum disorders (ASDs) often engage in non-suicidal self-injury. However, research has shown that “adults with autism deliberately hurt themselves much more often than other adults do”. Self-injurious behavior does exist within other, neuro-typical populations, and it is widely thought to be more prevalent in females, who engage in self-injury at a rate three times that of boys the same age, and whose incidence of this behavior has “risen by 68% in the past three years”. Traditional theories of argument foreclose the possibility that argument form might take on different contours when the arguer is someone with a cognitive disability. For example, the standard ‘claim-warrant-attempt to persuade’ approach to argument is wholly unsuited to the understanding of arguments made by many people with ASDs. Entire fields of argumentation theory, from Toulmin to pragma-dialectics to the study of fallacies, are founded upon, and lose function without the reliance upon, these principles.
Innovative Development of College English Education from the Perspective of New Media

The rapid advent of the new media era has injected new vitality into different industries. Therefore, how to ensure the efficient development of classroom teaching activities from the perspective of new media has become an issue that needs to be studied by educators. This article mainly analyzes the positive effects of using new media technology in college English classrooms in the context of new media, and explores specific ways of innovative education activities based on the actual teaching, so as to build efficient classrooms and promote the future of higher English education in China. Better development.
Chess recognition using 3D patterned illumination camera

Computer Vision has been applied to augment traditional board games such as Chess for a number of reasons. While augmented reality enhances the gaming experience, the required additional hardware (e.g. head gear) is still not widely accepted in everyday leisure activities, and therefore, camera based methods have been developed to interface the computer with the real-life chess board. However, traditional 2D camera approaches suffer from ill-defined environmental conditions (lighting, viewing angle) and are therefore severely limited in their application. To answer this issue, we have incorporated a consumer-grade depth camera based on patterned illumination. We could show that in combination with traditional 2D color images, the recognition of chess pieces is made easier, which allows seamless integration of the real-life chess pieces with the computer program. Our method uses a fusion approach from depth and RGB camera data and is suitable for two distant players to play against each other, using two physical sets of chess.
Evaluation of Students’ Satisfaction towards Instructor using Factor Analysis

Student evaluation on instructors is used in almost every high institution throughout the world whether in university or even colleges. The objective of this paper is to examine the factors that contribute to the student's evaluation on instructors among undergraduate students at Northern University of Malaysia (UUM) by using factor analysis method. The respondents of this study were 153 undergraduate students at the School of Quantitative Science via convenience sampling and snowball sampling method. The questionnaire was distributed to the participants via Google Form regarding demographic information and evaluation of the instructor. The questionnaire evaluation of the instructor consisted of 31 questions in total and 153 responses were received. The factors were classified into dependent and independent variables to identify the significance of the variables. In this paper, the variables of Student Interest, Student-Instructor, Course Demands and Course Organization were grouped as independent factors while Instructor involvement as the dependent factor.
Ethical reflection through design

In three blog posts, we follow the joined research project 'Responsible Cities' of the University of Twente and the University of Utrecht. They explore the role of design to bring interest groups together to think, feel, and take action on the topic of smart city futures. In this second blog, we'll discuss: Ethical reflection through design.
A Comparative Study on the THAAD Deployment Process in Korea and Japan

중국 외교부의 급 공무원인 천하이 아주국 부국장은 2 2016년 2월에 사드(THAAD)를 배치하는 것과 관련하여 소국(한국)이 대국(중국)에 대항하지 말라는 협박에 가까운 발언을 하였다. 중국은 한국이 주한미군에 사드를 배치하는 결정을 내리자 중국에 입점한 대부분의 롯데마트에 대해 영업정지 처분을 내렸다. 당시 롯데마트 주변에서 과격 시위가 벌어지면서 중국인들이 한국제품을 부수거나 깨뜨리면서 위협을 가하는 일까지 발생하였다. 또 중국은 한국산 배터리가 들어가는 전기자동차에 보조금 지급을 중단하는 결정을 내리는 등 보복을 가하였다. 중국은 한국보다 먼저 러시아판 사드라고 할 수 있는 S-400을 러시아로부터 2014년 구입하였다. 중국은 한국보다 2년 먼저 S-400을 구매를 하고도 한국에 대하여 사드를 배치하지 못하게 하는 이중적인 행동을 하였다. 중국은 1990년대 러시아의 미사일방어 무기에 해당하는 S-300을 토대로 하여 PAC-3와 유사한 중국판 사드인 HQ(Hong Qui)-9를 개발하여 양산하고 배치한 상태다. 심지어 중국은 러시아와 이미 미사일방어 훈련을 실시하였으며 여러차례 공동 훈련을 하고 있다. 중국은 AN/TPY-2가 배치되는 동안 한국에 대해서는 냉혹하게 대하였으나 일본에 같은 기종이 배치되는 시기에는 입장을 나타내기를 삼가며 조심스러워하는 이중적인 외교적 입장을 취하였다. 중국은 일본에 대해서는 한국만큼 강력하게 반대하지 않았으며 심지어 묵인하는 듯한 태도를 보였다. 주한미군과 주일미군에 배치된 레이더는 같았는데 유독 한국에 대해서만 가혹하게 대하는 것은 어떤 차이에서 기인하는 것일까? 왜 이런 차이가 나타난 것일까? 한국과 일본의 사드배치 과정을 비교하면 어떤 차이가 있는 것일까? 또한 한국과 일본의 사드 배치 과정에서 찾을 수 있는 함의는 어떤 것이 있을까? 이 논문은 이 질문에 대한 답을 찾기 위하여 시작되었다.In connection with the deployment of THAAD in February 2016, Deputy Director Chun Hai Ajou Bureau, a second-level official of the Ministry of Foreign Affairs of China made a remark close to Intimidation that the Small Country(Korea) should not oppose the Big Country(China). When South Korea made the decision to deploy THAAD to US forces in Korea, China suspended most of Lotte Mart stores in China. At that time, as radical protests took place around Lotte Mart, Chinese people even threatened with destroying or breaking Korean products. In addition, China has decided to stop subsidizing electric vehicles that contain Korean batteries. China purchased the Russian version of the S-400, the Russian version of THAAD, from Russia in 2014 before Korea. Even after purchasing the S-400 two years earlier than Korea, China took a two-faced behavior to prevent Korea from deploying THAAD. In 1990’s, China developed and deployed HQ (Hong Qui)-9, a Chinese version similar to PAC-3 based on the S-300 which is a Russian missile defense weapon. Even China has already conducted missile defense military training with Russia. and China and Russia have conducted missile defense training several times. While the AN/TPY-2 was deployed, China treated Korea harshly but when the same model was deployed in Japan, China refrained from expressing its position and took a two-faced diplomatic position that was cautious. China was not as strongly opposed to Japan s deployment as Korea. China even seemed to be tolerant about Japan s deployment. The radars deployed by the USFK and USFJ were the same, What is the reason why China treats Korea harshly unlike Japan? Why did this difference appear? What is the difference between Korea and Japan s THAAD deployment process? Also, what are the implications that can be found in the process of deploying THAAD in Korea and Japan? This paper was started to find the answer to this question.
Cyberbullying Detection using Deep Learning and Word Embedding Analysis

Innocent social media users getting mobbed by cyberbullies is a common situation today. As the number of internet users increases, number of mobbing cases increase rapidly as well. That is why the detection of messages that contain cyberbullying becomes an important problem to be solved and the current solutions like reporting mechanism which is used by most of the social media platforms are not sufficient enough. While there are many studies on the detection of cyberbullying in the English language, there are only a few studies in Turkish. In this study, convolutional neural network (CNN) models were used for the first time for cyberbullying detection problem in Turkish language. Different pretrained word embeddings have been used as input to the CNN model and their effects have been analysed. Finally, this paper has achieved the highest performance so far on Turkish cyberbully detection task with 0.937 F1 score.
On the 'Where' and 'When' of Eye Guidance in Real-World Scenes

Keynote at the 20th European Conference on Eye Movement Research (ECEM) in Alicante, 22.8.2019&#x0D; Video stream: https://vimeo.com/361729502
Pengaruh Media Kataraja Terhadap Kemampuan Menulis Aksara Jawa Siswa Kelas III di SDN LUMBANG 1 dan SDN LUMBANG 3 PASURUAN

Abstract: This study aims to determine the effect of using KATARAJA media (Javanese Script Smart Card) on the ability to write Javanese script in grade III SDN Lumbang 1 and SDN Lumbang 3 Pasuruan with a total sample of 26 students. The type of research used is Quasi Experiment with research instruments in the form of pre-test and post-test. The results showed that the clarity indicator value in the post-test control class was almost the same as the experimental class, but for the indicator of the accuracy of the value in the post-test the control class was far below the experimental class based on the t-test analysis of the Independent Sample T Test, the results obtained a significance value of 0.000 <0, 05, and the N-Gain Score test results get an N-Gain value of 60.70% (quite effective). So it can be concluded that there is a significant influence between the use of KATARAJA media on the ability to write Javanese characters in grade III SD students, and the use of KATARAJA media is quite effective in learning Javanese to improve students' ability to write Javanese characters.
Toward Quantum Optics with Free Electrons

The weak coupling between free electrons and light remains the limiting factor that has prevented access to versatile electron–photon physics, such as the entanglement of individual photons and electrons. This year, we demonstrated that photonic cavities can increase the coupling strength of electrons and light by more than an order of magnitude.