Reviewerly/exHarmony huggingface dataset:
Sub-window median-like filter in constant time

Due to its simplicity, median filter is a very famous and useful tool in the fields such as image processing and computer graphics. Median filter is mainly for eliminating irrelevant details, especially removing salt-and- pepper noises in image. It has the ability to preserve structural edges compared with box filter and Gaussian filter, however, this ability is very limited. When the radius of filter window becomes larger, the edge-preserving ability also becomes very weak. In this paper, we propose a median-like filter that removes small details including salt-and-pepper noises in image while having stronger edge-preserving ability than classical median filter. The filter computes the output at the observed pixel using 8 sub-windows and a full window. Among these windows, 4 of them are built on the 4 quadrants respectively, other 4 of them are on left, right, top, and bottom half planes. All of these sub-windows contain the observed pixel. Moreover, since medians are computed from histograms, we update column histograms and kernel histograms by simple subtraction and addition operations to accelerate the filtering. The computational complexity of the proposed median-like filter is independent of window size and thus is in constant time. A SSIM (Structural SIMilarity) evaluation demonstrates that the proposed median-like filter performs well.
Coder and Decoder of Block 3B4B with Auxiliary Channel

This work presents the coder and decoder of block 3B4B with auxiliary channel. The coder 3B4B converts an input 3 bits word in an output 4 bits word. It transmits an equal number of 1’s and 0’s to provide a DC constant component. It increases the transitions number, improves the system quality and security. The objective is also to improve the system potentialities with an auxiliary channel to monitor the communication (alarm). The main channel is real, but the auxiliary channel is fictitious.&#x0D; Keywords: Block codes, Digital systems, Transmission lines
Boundary Nodes and Interior Nodes in Bipolar Fuzzy Graphs

A bipolar fuzzy graph is a fuzzy graph which admits positive and negative membership grades. In this paper, we introduce and study the concepts of boundary nodes, interior nodes, cut nodes and complete nodes in bipolar fuzzy graphs.
On Solutions of Marginal Problem in Evidence Theory

Recently introduced marginal problem – which addresses the question of whether or not a common extension exists for a given set of marginal basic assignments – in the framework of evidence theory is recalled. Sets of solutions are studied in more detail and it is shown, by a simple example, that their structure is much more complicated (i.e. the number of extreme vertices of the convex set of solutions is substantially greater) than that in an analogous problem in probabilistic framework. The concept of product extension of two basic assignments is generalized (via operator of composition) to a finite sequence of basic assignments. This makes possible not only to express the extension, if it exists, in a closed form, but also enables us to find the sufficient condition for the existence of an extension of evidential marginal problem. Presented approach is illustrated by a simple example.
How To Block A Phone Number On iPhone & Android

Smartphones are great gadgets that can bring many advantages to the table when it comes to their abilities. However, they can also bring unwanted ...
Sentiment Analysis of Afaan Oromoo Facebook Media Using Deep Learning Approach

The rapid development and popularity of social media and social networks provide people with unprecedented opportunities to express and share their thoughts, views, opinions and feelings about almost anything through their personal webpages and blogs or using social network sites like Facebook, Twitter, and Blogger.  This study focuses on sentiment analysis of social media content because automatically identifying and classifying opinions from social media posts can provide significant economic values and social benefits. The major problem with sentiment analysis of social media posts is that it is extremely vast, fragmented, unorganized and unstructured. Nevertheless, many organizations and individuals are highly interested to know what other peoples are thinking or feeling about their services and products. Therefore, sentiment analysis has increasingly become a major area of research interest in the ﬁeld of Natural Language Processing and Text Mining. In general, sentiment analysis is the process of automatically identifying and categorizing opinions in order to determine whether the writer's attitude towards a particular entity is positive or negative. To the best of the researcher’s knowledge, there is no Deep learning approach done for Afaan Oromoo Sentiment analysis to identify the opinion of the people on social media content. Therefore, in this study, we focused on investigating Convolutional Neural Network and Long Short Term Memory deep learning approaches for the development of sentiment analysis of Afaan Oromoo social media content such as Facebook posts comments. To this end, a total of 1452 comments collected from the official site of the Facebook page of Oromo Democratic Party/ODP for the study. After collecting the data, manual annotation is undertaken. Preprocessing, normalization, tokenization, stop word removal of the sentence are performed. We used the Keras deep learning python library to implement both deep learning algorithms. Long Short Term Memory and Convolutional Neural Network, we used word embedding as a feature. We conducted our experiment on the selected classifiers. For classifiers, we used 80% training and 20% testing rule. According to the experiment, the result shows that Convolutional Neural Network achieves the accuracy of 89%. The Long Short Memory achieves accuracy of 87.6%. Even though the result is promising there are still challenges. Keywords : Sentiment Analysis; Opinionated Afaan Oromoo facebook comments; Oromo Democratic Party Facebook page DOI: 10.7176/NMMC/90-02 Publication date: May 31 st 2020
한·중 합성명사 어근 간의 의미 관계 대조 연구 - 「한국어 학습용 어휘 목록」과 「한어수평사휘등급대강(漢語水平詞彙等級大綱)」을 대상으로 -

In this paper, we consider the semantic relation between the root of compound nouns in List of Vocabulary for Korean Language Learning from the viewpoint of word formation and contrasts them with the semantic relations between the root of compound nouns in Outline of Chinese vocabulary and Chinese characters Level. This study was aimed to provide useful data for efficient teaching and learning of Korean vocabulary for Chinese learners by contrasting the semantic relation between the root of synthesized nouns in Chinese characters. In order to achieve the purpose of the contrast of the word formation in the two languages, the author intends to start the study from the compound word which has a relatively simple semantic relationship between the two languages. In particular, synthetic nouns constitute the majority of compound words, and we try to collate the vocabulary lists of the above two in terms of the semantic relations between the root composing nouns. In this paper, the semantic relation between the root of compound nouns is divided into coordinate relation, fusion relation and integrated relation based on the previous studies. There is few contrastive linguistic research on Korean-Chinese word formation. The comparison of the semantic relations between synthetic noun phrases would help to narrow the gap of understanding between the two languages in the educational field.
INCREASING CHILDREN’S ENGLISH ABILITY THROUGH READING WORD MEDIA ANDROID-BASED IN OASIS KIDS NATIONAL PLUS SCHOOL GROUP B ACADEMIC YEAR 2018/2019

This research is a Class Action Research which aims to improve English ability of group B consist of 7 children. This research was conducted in two cycles and each cycle consist of five stages that are planning, implementing actions, observing and reflecting. Data collection method used observation, interview and documentation. Data analysis technique used qualitative descriptive technique. The results showed the achievement of indicators and an increase in English ability. It can be seen from the pre-cycle English ability in the good category of 14.28%, then in the first cycle increased to 21.43% and in the second cycle the English ability of children increased by 75%. The conclusion of this research is that through the reading word media android-based can improve English ability of children in Oasis Kids National Plus School in Group B academic year 2018/2019. There is a suggestion for educators to try improving children’s English ability by using a variety of learning media, one of which is to use reading word media android-based. In addition, a suggestion for schools is to be a place for early childhood education to be able to provide learning activities in accordance with the characteristics of children’s learning abilities.
THE APPLICATION OF AGILE'S FLEXIBLE METHODOLOGY IN PLANNING A JOINT INTERNATIONAL SPECIALIST TRAINING PROGRAM

When planning the learning process, it is increasingly possible to implement the principles of the Agile methodology. Higher education institutions that carry out a joint international specialist training program are also an exception. Thus, a joint educational project is being prepared between the Black Sea National University named after Petro Mohyla and the Yancheni Polytechnic Institute under the name “3 + 1”. The use of modern software accelerates the process of managing a complex project of a specialized bachelor training program "3 + 1". The Agile approach – splitting tasks into sprints, building a Kanban board and engaging a student as a "customer", has proven itself very successful. The KanbanFlow online tool has never been used before for this task. Its use reduced the time management costs of the project and improved the engagement of an international team of Ukrainian and Chinese specialists.
Advances in South Asian Data Privacy Laws: Sri Lanka, Pakistan and Nepal

Five years ago, the only significant data privacy laws in South Asia (or SAARC, the South Asia Area of Regional Cooperation) were India’s new and extremely limited private sector law, and Nepal’s public sector law. The region’s data privacy protections were far more limited than in North-east Asia or the ASEAN countries. South Asia is now showing signs of catching up with the rest of Asia. Sri Lanka’s Personal Data Protection Bill is the focus of this article, but Bhutan and Nepal have enacted privacy laws, and Pakistan has a private sector Bill. Bangladesh, Afghanistan and the Maldives continue to be the states in the SAARC region where there are no significant developments.The scope of Sri Lanka’s Bill is comprehensive in that it covers both the public and private sectors, and appears to have extra-territorial effect in similar terms to the EU GDPR (but in fact is more limited). Exceptions to the Bill seem broad, but are constrained in many ways. It does require lawful grounds for processing to take place at all, and goes on to contain many obligations of controllers, and rights of data subjects that are based on GDPR provisions (sometimes ‘watered down’ versions). Compulsory registration of controllers, required in a previous version of the Bill, has been removed, but appointment of DPOs may be required, as may data protection impact assessments (DPIAs) when constitution or other rights may be put at risk by processing. Many of the marquee rights of the GDPR are present in some form, including the ‘right to be forgotten’ and protections against automated processing, but not data portability. Data localisation requirements apply in the public sector, and export restrictions apply to the private sector, with a ‘white list’ and other exceptions. A data protection authority (DPA) must be appointed, but its independence is not guaranteed. Enforcement powers allow a lot of different interventions by the DPA, but the maximum fines (US$55,000) are trivial compared with the previous draft, and compensation is not mentioned. The article considers factors relevant to EU ‘adequacy’ and Convention 108+ accession.Bhutan’s Information, Communications and Media Act of Bhutan 2018 gives the Kingdom a minimal data privacy law to increase its gross national happiness. Nepal enacted The Privacy Act 2018 but it is not a data privacy law because it does not include most of the set of basic principles shared by all such laws since 1980. However, there are many provisions in the Act to which private sector bodies operating in Nepal should pay careful attention in order to avoid prosecutions or compensation claims. Finally, Pakistan’s November 2019 revised version of its e-commerce policy promises a data protection law, but it is not clear that it is referring to the Personal Data Protection Bill, 2018 which was introduced to the legislature. That Bill only covers the private sector, and at best might meet most of the requirements of a ‘second generation’ law (based on the 1995 EU Data Protection Directive), but not the GDPR.
APPLICATION OF TECHNOLOGY AUGMENTED REALITY IN BROCHURES SMK GHAMA CARAKA DEPOK BASED ANDROID

The brochure is one of the important instruments in terms of promotion to provide initial information for prospective students, but the brochure currently used is still fairly classic. Still using brochure leaflets on paper media and the information conveyed depends on the size of the printed brochure. If the school committee wants to provide more information by adding lots of pictures with product details, the larger the size of the brochure that needs to be printed. Research conducted using the concept of augmented reality in making interactive brochures based on Android. The steps involved consist of analyzing the software and hardware requirements to be used. The research method uses the case study method, with a qualitative approach. As for the application development model using the waterfall model which is a method in SDLC, the sequence of steps used in this research is system requirement analysis, design, program code making, testing and support
LibGuides: Instructional Design & Technology Graduate Program: Research Design

Welcome to the Libguide for students and faculty in the Learning Design & Technology Graduate Program.
Moto G7 Review – One Of The Best Budget Phones

Motorola is back with the Moto G7 the successor to the Moto G6. In this Moto G7 review, I will tell you why I believe that this is one of the best budget ...
IoT and Artificial Intelligence

Communication is the basic required thing to transmit the information, feelings etc. to converse, human being in many types of languages in different part of the world people use different languages, even deaf and dumb can communicate through sign language. Communication is the basic thing to share the information and knowledge and in today’s world information is the key to success. Internet of things is a new concept in communication which supports the non-living things can communicate to each other and can do many things automatically. The concept of Internet of Things appeared several years ago and in that time has evolved into one of pillars o fthe new technologies sector. The next step is to add the artificial intelligence to Internet of Things systems. Artificial intelligence is increasingly used in everyday life. It is a concept of a wide range and applies in practice in many fields of science. In this paper the author is trying to blend the communication, technology and artificial intelligence to make the world faster connected and automated. In this paper Internet of things and artificial intelligence blends into a new product and give rise to the new shape to the technological front of the world.
Narrowing-based Optimization of Rewrite Theories

This work has been partially supported by the EU (FEDER) and the Spanish MCIU under grant RTI2018094403-B-C32,andbyGeneralitatValencianaundergrantPROMETEO/2019/098. JuliaSapinahasbeensupported by the Generalitat Valenciana APOSTD/2019/127 grant
Tracing Buried Fracture Zones Using by Geological and Geophysical Methods in Microzoning: Kayakoy (Denizli-Turkey) Case

This abstract book contains abstracts of the various research ideas presented at The Second Eurasian RISK-2020 Conference and Symposium.The RISK-2020 Conference and Symposium served as a perfect venue for practitioners, engineers, researchers, scientists, managers and decision-makers from all over the world to exchange ideas and technology about the latest innovation developments dealing with risk minimization.
Open RAR File: What and How to Open it

Roshal Archive Compressed file(RAR) is a compressed file that can hold one or more and folders. A RAR file like an ordinary cabinet that organizes other ...
LibGuides: Instructional Design & Technology Graduate Program: Summon Power Search

Welcome to the Libguide for students and faculty in the Learning Design & Technology Graduate Program.
Cooperation Of Branch Primary School With Its Surroundings And Parents

School is a place where all of the employees endeavour for the student's success and school's good reputation as well as try to raise the students to be patient, honest, understanding and respectful. At our branch primary school Struge, we are very good at achieving this for the head teacher, parents and all of the employees are aware that the school in such a small district is also a centre of cultural and social life. This is why teachers and students organize yearly events where we can connect with the local residents. This type of events have already become traditional. We collect paper for recycling, make Advent wreaths, bake honey biscuits, have a hike for children and their grandparents, pay a visit to the local retirement home as well as regularly cooperate with volunteer firemen and our local priest. This kind of cooperation is enriching and it instils hope for the future of our branch primary school.
Sa2017 COMPARISON OF PHYSICIAN SELECTED INDIVIDUAL IMAGES VERSUS COMPLETE UNEDITED VIDEO ANALYSIS FOR EUS-CONVOLUTIONAL NEURAL NETWORK DATASETS DESIGNED FOR EVALUATING PANCREATIC PATHOLOGY

Endoscopic ultrasound (EUS) is the best method for detecting pancreatic lesions, but distinction of malignant and benign pathologies is a challenge. Convolutional neural network (CNN) models have gained momentum as methods to analyze endoscopic images; however, these are rarely used for EUS.
MRCP implementation methods in our institution

Poster: ECR 2019 / C-2209 / MRCP implementation methods in our institution  by:  B. Zolyomi , I. Keki; Budapest/HU
Data Help Desk: Informing Science Data Help Desk Staffing through Transaction Analysis

This study surveyed scientists asking questions at a data help desk about their researchdata management (RDM) needs and question types. The better understanding ofthese data needs provides a basis for RDM information professionals to offer assistanceto scientists. The studyfound that 70% of scientists in the survey had no prior researchdata management training and the most common research data management need forboth ecologists and geologists was data storage.
GSU Library Research Guides: Web Savvy -- General Guide: Authorship

A multi-page tutorial on evaluating web sites, for beginners and those who think they know.
Right restriction or restricting rights? The UK acts to address COVID-19 [Blog post]

The UK was initially slow to adopt measures to address the COVID-19 pandemic. However on 23 March 2020 and following escalating infection and mortality rates, the government introduced the most restrictive measures on movement in modern UK history. These lockdown measures which introduced sweeping limitation on movement outside the home were introduced through statutory legislation: regulations which were made by the government and not debated nor legislated by Parliament. This paper considers the issues the UK’s legal responses to address the COVID-19 raises in terms of democracy, human rights and the rule of law.
Clash between Segment-level MT Error Analysis and Selected Lexical Similarity Metrics

The aim of this paper is to evaluate the quality of popular machine translation engines on three texts of different genre in a scenario in which both source and target languages are morphologically rich.Translations are obtained from Google Translate and Microsoft Bing engines and German-Croatian is selected as the language pair.The analysis entails both human and automatic evaluation.The process of error analysis, which is time-consuming and often tiresome, is conducted in the userfriendly Windows 10 application TREAT.Prior to annotation, training is conducted in order to familiarize the annotator with MQM, which is used in the annotation task, and the interface of TREAT.The annotation guidelines elaborated with examples are provided.The evaluation is also conducted with automatic metrics BLEU and CHRF++ in order to assess their segmentlevel correlation with human annotations on three different levels-accuracy, mistranslation, and the total number of errors.Our findings indicate that neither the total number of errors, nor the most prominent error category and subcategory, show consistent and statistically significant segment-level correlation with the selected automatic metrics.
Product Purchase Recommendation Of User By Data Analysis Using Data Mining

With the boom of social media, it is a very popular trend for people to share what they are doing with friends across various social networking platforms. Nowadays, we have a vast amount of descriptions, comments, and ratings for local services. The information is valuable for new users to judge whether the services meet their requirements before partaking. In this paper, we propose a user-service rating prediction approach by exploring social users' rating behaviors. In order to predict user-service ratings, we focus on users' rating behaviors. In our opinion, the rating behavior in recommender system could be embodied in these aspects: 1) when user rated the item, what the rating is, 2) what the item is, 3) what the user interest that we could dig from his/her rating records is, and 4) how the user's rating behavior diffuses among his/her social friends. Therefore, we propose a concept of the rating schedule to represent users' daily rating behaviors. In addition, we propose the factor of interpersonal rating behavior diffusion to deep understand users' rating behaviors. In the proposed user-service rating prediction approach, we fuse four factors, user personal interest (related to user and the item's topics), interpersonal interest similarity (related to user interest), interpersonal rating behavior similarity (related to users' rating behavior habits), and interpersonal rating behavior diffusion (related to users' behavior diffusions), into a unified matrix-factorized framework. We conduct a series of experiments in Yelp dataset and Douban Movie dataset. Experimental results show the effectiveness of our approach.