Reviewerly/exHarmony huggingface dataset:
FAIR: User-friendly delivery of climate and weather data

&amp;lt;p&amp;gt;Climate and weather data play an important role for &amp;lt;span&amp;gt;e.g.&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt; identifying actions against climate change and optimizing industries. However, a correct understanding and handling of such data is often difficult for users without a meteorological background. Moreover, specialized software solutions and an infrastructure capable of handling large amounts of data are needed to process and analyze these data.&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;The research project FAIR addresses this issue by simplifying the exchange of information and data between the German Meteorological Service (DWD) and stakeholders from industry and public. To fulfill this purpose, microservices for processing, caching, visualizing, and analyzing meteorological data in an efficient way are being developed. Processing comprises, for example, the selection of specific information from model data or the conversion of the result into formats commonly used by the user. The compilation of microservices makes it possible to support different types of applications and at the same time to make data from third parties available to the DWD. To demonstrate the utility of these microservices, three test scenarios are considered: 1) wind farm planning, 2) integration of meteorological data for individual traffic routing, and 3) planning of social events such as festivals.&amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;&amp;amp;#160;&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;lt;span&amp;gt;In this article, we present the general idea and the current state of the project. The focus is on the challenges that have been identified for the three test scenarios and our technical approaches to address them. &amp;lt;/span&amp;gt;&amp;lt;span&amp;gt;Herein we present the developed architecture, the data flow, the FAIR portal and the handling of metadata.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;
Re-weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation

The development of deep networks has enabled state-of-the-art performance to be achieved in many application domains at the cost of a large amount of domain-specific annotations. Unsupervised Domain Adaptation (UDA), however, aims to transfer domain knowledge from existing well-defined tasks to new ones where labels are unavailable. Real-world domain discrepancies from different data modalities are caused by complex and uncontrollable factors, which motivates the desire to match the feature distributions when the discrepancies are disparate. In this chapter, we propose the Re-weighted Adversarial Adaptation Network (RAAN) that is composed of two procedures: one to reduce the feature distribution divergence and the other to adapt the classifier when domain discrepancies are disparate. Specifically, to alleviate the need for common supports in matching the feature distribution, we choose to minimize optimal transport (OT) based Earth-Mover (EM) distance and reformulate it as an adversarial training scheme. Utilizing this, RAAN can be trained in an end-to-end and adversarial manner. To adapt the classifier, we propose to match the label distribution by learning the cross-domain label distribution ratios and embed it into the adversarial training. Finally, RAAN was shown to outperform other various methods by a large margin when the domain shifts and discrepancies are disparate.
On Experience of Social Networks Exploration for Comparative Analysis of Narratives of Foreign Members of Armed Groups

This article contains a comparison of narratives of foreign members of armed groups of The Islamic State of Iraq; the Levant; the Lugansk and Donetsk People's Republics in Syria and Ukraine. This data was collected in 2015-2016 using social networks and telecommunications which are presented in the article. The probabilistic and stochastic methods of analysis and classification of data from social networks were used for the identification of active members of illegal armed groups, and for analysis its number, composition and dynamics in active conflict areas. Some structural, figurative and lexical features of 83 stories are discussed. Key similarities, anomalies and differences are determined. Ways of information dissemination using social networks and traditional media are described. Role of narratives is shown. Conclusions are proposed.
Into the Woods…

Abstract The demand for web services is driving a proliferation of data centre building. These feed off electricity, which means the internet is contributing to global warming. Martin Cooper MBCS visits a green data centre to explore a small scale answer - in the last place you’d expect.
Modifying Data

In the last chapter, we implemented some search logic to find specific videos. We also created a detail page to display the video details after a user clicks a specific video. A logical next step for our application is to be able to modify the data we display.
Preface

THE PROCEEDING OF THE 4 TH INTERNATIONAL CONFERENCE ON COMPUTING AND APPLIED INFORMATICS 2019 On behalf of the Organizing Committee, I am pleased to present to you the Proceeding of the 4th International Conference on Computing and Applied Informatics. This is the fourth event of the conference series organized by The Faculty of Computer Science and Information Technology, Universitas Sumatera Utara. We are honored to accept 133 outstanding works from authors from 7 different countries. Each paper has been through a challenging review process, and we would like to appreciate each of the authors that able to cooperate during the process in order to ensure the quality of each paper. With the acceptance rate of 45%, it is unfortunate for us to see that some high-quality manuscripts did not manage to go through the review process. Nevertheless, please accept our highest appreciation to every author that has participated in this event and to congratulate all of the invited authors who have their manuscript passed the process. We would also like to give our appreciation to our keynote speakers, Prof. Putra Sumari from Universiti Sains Malaysia, Dr. Kunianingsih, SMIEEE, vice-chair of IEEE Indonesian Section, and my colleague Dr. Eng. Ade Chandra from Faculty of Computer Science and Information Technology, Universitas Sumatera Utara. It is our privilege to have such well-known scientists to share their knowledge at the conference. Lastly, I would give my highest gratitude to all the international committee, the steering committee, and the organizing committee, who have spent countless times in the last four months. It is an honor to work alongside the current member of the committees that have repeatedly shown an outstanding effort to ensure the quality of the conference. Thank you Dr. Elviawaty Muisa Zamzami, ST., MT., MM. Chair of The 4 th ICCAI 2019
Real Time Detection and Identification of Human Emotions through Live Streaming

Automating the analysis of facial expressions of individuals is one of the challenging tasks in opinion mining. In this work, the proposed technique for identifying the face of an individual and the emotions, if present from a live camera. Expression detection is one of the sub-areas of computer visions which is capable of finding a person from a digital image and identify the facial expression which are the key factors of nonverbal communication. Complexity involves mainly in two cases viz., 1)if more than one emotions coexist on a face. 2) expressing same emotion between individuals is not exactly same. Our aim was to make the processes automatic by identify the expressions of people in a live video. In this system OpenCV library containing face recognizer module for detecting the face and for training the model. It was able to identify the seven different expressions with 75-85% accuracy. The expressions identified are happy, sadness, disgust, fear, anger, surprise and neutral. The this an image frame from is captured from the video, locate the face in it and then test it against the training data for predicting the emotion and update the result. This process is continued till the video input exists. On top of this the data set for training should be in such a way that , it prediction should be independent of age, gender, skin color orientation of the human face in the video and also the lamination around the subject of reference
Word Formation Process of Business Term in Antara News Website

The purpose of the research were to analyze the process of word formation found in the online newspaper ANTARA NEWS and to find out what are widely used in word formation process in this news. Word formation process have 10 types those are coinage, borrowing, compounding, blending, clipping, backformation, conversion, acronym, derivation and multiple processes and in this research the researcher analyzed 5 types of word formation such as compounding, acronym, blending clipping, and derivation. The descriptive qualitative method was used in this research to investigate word formation process in Antara news in the business term. The data of this research are words that contained the process of forming English words. The instrument of this research is print out the news from the internet, classifying the word in business term, identifying and analyzing the data as the procedure of the research. The result of this research indicated that are 117 data. There are 3 types of word formation process found in this research such as compounding (9,40%), acronym (5,98%) and derivation (84,62%) . However In this research the researcher did not find blending and clipping process. The function of word formation in this research, there are those that combined to separated word, some are abbreviated of the sentence and affixes process, both of affixes at the front or back of the word. In this research, the researcher found the derivation as the most of word formation process.
Flooding

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 58, Issue 1 p. 23292A-23292B Policy and Practice Flooding First published: 06 March 2021 https://doi.org/10.1111/j.1467-6346.2021.09892.xRead 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. Volume58, Issue1March 2021Pages 23292A-23292B RelatedInformation
The Book Review Column

In this column, we review these three books: 1. Algorithmic Aspects of Machine Learning, by Ankur Moitra. A succinct book about theoretical aspects of ML. Review by Sarvagya Upadhyay. 2. Network Flow Algorithms, by David Williamson. An examination of many aspects of these important algorithms. Review by S.V. Nagaraj. 3. The Theory of Quantum Information, by John Watrous. A new, unified treatment of this vital area. Review by Steve Fenner.
Optimization II: Dynamic Programming

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Path Integral Implementation of Relational Quantum Mechanics

Abstract Relational formulation of quantum mechanics is based on the idea that relational properties among quantum systems, instead of the independent properties of a quantum system, are the most fundamental elements to construct quantum mechanics. In the recent works (J. M. Yang, Sci. Rep. 8:13305, 2018), basic relational quantum mechanics framework is formulated to derive quantum probability, Born's Rule, Schr\"{o}dinger Equations, and measurement theory. This paper gives a concrete implementation of the relational probability amplitude by extending the path integral formulation. The implementation not only clarifies the physical meaning of the relational probability amplitude, but also gives several important applications. For instance, the double slit experiment can be elegantly explained. A path integral representation of the reduced density matrix of the observed system can be derived. Such representation is shown valuable to describe the interaction history of the measured system and a series of measuring systems. More interestingly, it allows us to develop a method to calculate entanglement entropy based on path integral and influence functional. Criteria of entanglement is proposed based on the properties of influence functional, which may be used to determine entanglement due to interaction between a quantum system and a classical field.
Dealing with imperfect elicitation results

The trial-and-roulette method is a popular method to extract experts’ beliefs about a statistical parameter. However, most studies examining the validity of this method only use ‘perfect’ elicitation results. In practice, it is sometimes hard to obtain such neat elicitation results. In our project about predicting fraud and questionable research practices among PhD candidates, we ran into issues with imperfect elicitation results. The goal of the current chapter is to provide an over-view of the solutions we used for dealing with these imperfect results, so that others can benefit from our experience. We present information about the nature of our project, the reasons for the imperfect results, and how we resolved these sup-ported by annotated R-syntax.
Accomplishment of New Protocol for Stupendous Security in Cloud Environment

Cloud is that the rising and thirst area of analysis and advantageous in all the fields. However security is the main disquiet for not espouse cloud for each application. Mainly of the security crisis are connected by authentication with data protection by the respect to cloud security alliance (CSA). The projected New (Biometric encoding and Biometric authentication) protocol can conquer every safety crisis in cloud adjacent. In NEW protocol biometric encryption has been provided for the cloud consumer’s valuable information and identity verification has been utilized in a unique way to scale back the problems associated with authentication and authorization. In NEW protocol Identity verification in cloud environment has been joint by pattern security in coincidence with four entirely dissimilar and influential encryption algorithms for accumulated safety. This protocol improves biometric template protection by the combination of RSA and AES encryption algorithms in proper locations and 3DES, Blowfish has been utilized in information security and solution safety supervision. By implementing such technique can vanish out the un trustiness of adopting cloud, specifically public and hybrid clouds. Since all the users information are hold on in off premise. Adopting this protocol has given nice results when examining with existing work and all the vulnerable places has been considered for improved security.
Digital Pedagogy

Digital pedagogy is using digital tools to enhance teaching and learning experience.It offers the possibility of enabling more interaction among students and instructors and increasing student academic success.Educators who incorporate digital pedagogy in classroom re-creates the contemporary worlds which their students encounter every day.This paper provides a brief introduction to digital pedagogy.
Romania: Media Literacy for High School Students in Rural Areas (DOS)

Federal Grants & ContractsVolume 43, Issue 14 p. 3-3 Grant Alerts Romania: Media Literacy for High School Students in Rural Areas (DOS) First published: 18 June 2019 https://doi.org/10.1002/fgc.30488Read 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 onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume43, Issue1420 June 2019Pages 3-3 RelatedInformation
Energy Efficient Resource Allocation using Improved BSP Technique in Cloud Environment

Cloud computing allows the user to access their resources from data center. The energy consumed by each resources will leads to low performance in the data center. The existing work deals with heuristic resource allocation which concentrates only on bottleneck resources. This research work proposes BSP algorithm to allocate the data center resources efficiently in terms of dynamic information and energy consumption. BSP is a placement technique which provides high quality placement for resources based on optimization process. The agent provide authentication to each user to ensure the privacy of the system. The overall resource allocation is achieved by BPS technique by performing continuous deployment and ongoing optimization. Continuously deployment is efficiently allocating the resources based on demand risk score. If any virtual machine in the cloud environment is overloaded, the ongoing optimization technique is applied to migrate the resources from overloaded VM to idle VM. The benefit of our improved BSP technique with the comparison of the results of the existing system is shown in performance analysis.
Expert System for Diagnosis Chicken Disease using Bayes Theorem

Chicken disease is a condition in which the body organs of chickens cannot function normally. Diagnosing a disease requires symptoms that appear on the chicken's body. To conduct a disease diagnosis, further examination is needed by specialists (experts). An expert system is a system that uses human knowledge that is entered into a computer to solve problems that are usually resolved by experts. The system created in solving problems uses the Bayes Theorem method in which the inference process uses Forward Chaining. The application was developed using the visual basic 2010 programming language and MySQL database.
Handling Multifacets of Trust Management in Cyber Physical Systems

Trust should be learnt from history and context sensitive. It should not be absolute in nature. Due to the conglomeration of various technologies in a secure cyber physical system it is quite a challenge to handle trust issues in a cyber physical system. Trust management in cyber physical system is needed due to increase in the degree of autonomy, decentralized policies ,dynamic environment, decision-making based on social rules,customs,laws,values, and ethics. This chapter brings light into the existing strategies already applied by few organizations, their inherent benefits and consequent shortcomings too. There are many factors contributing towards the establishment, expression, evaluation ,maintenance of trustworthiness. In this chapter we advocate a novel framework for trust management which stands up to the research directions of how to build a unified framework for trust management, how to modify the way we compute trust, how to decide the right granularity for a trust model.
Embrace the Hive Mind: Engaging ILL and Research Services in Unsubscribed and OA Content Discovery

Deciding whether to support discovery of unsubscribed and Open Access (OA) content raises questions for technical and public services librarians, from the philosophical to the pragmatic. Doing so requires careful curation and monitoring of resources, and benefits from library-wide input. This paper describes the process at Georgia Southern University for vetting unsubscribed and OA resources with ILL and liaison librarians for inclusion in the discovery layer and on the A-Z database list. For the discovery layer, this involves a three-step evaluation of collections for overall metadata quality, likelihood of ILL fulfillment, and value to the library collection. For the database list, this involves an evaluation of how liaison librarians integrate sources into reference and instruction. In each case, technical services, ILL, and liaison librarians weigh in on whether unsubscribed and OA content merits inclusion in the library collection. Furthermore, ILL and liaison librarians play a critical role monitoring these resources for continued inclusion and support.
Task scheduling Algorithms in Multi cloud Environment

One of the most commonly used technology with massive demands in the field of distributed computing is cloud computing. Cloud computing has evolved in various forms like single cloud, hybrid cloud and multi-cloud. The evolution of cloud to handle hundred and thousands of user demands, at a time, thereby facilitating resource sharing, reduction in loss of information, elimination of data storage on server side and many many more the topic of task scheduling will be prominent in all forms of cloud computing and in distributed architecture. Here, we discuss the multiple cloud architecture and the scheduling techniques applied to evenly distribute the workload across multiple clouds. Algorithms like Cloud list Scheduling (CLS), Cloud min min scheduling (CMMS), Minimum completion cloud (MCC), Median max algorithm (MEMAX), Multi-objective scheduling (MOS) are some methods suggested in the past for finding a near to optimal solution for task allocation.
Sign Language Translation using Hand Gesture Detection

This Paper demonstrate a module on a sign to speech (voice) converter for auto Conversion of American sign language (ASL) to English Speech and text. It minimizes the gap of communication between speech impaired and other humans. It could be used to understand a speech impaired person’s thoughts or views which he communicates with others through its ASL gestures but failing to communicate due to a large communication gap between them. It also work as a translator for person who do not understand the sign language and allows the communication in the natural way of speaking. The proposed module is an interactive application module developed using Python and its Advanced Libraries. This module uses inbuilt camera of the system to get the images and perform analysis on those images to predict the meaning of that gesture and provide the output as text on screen and speech through speaker of the system that makes this module very much cost effective. This module recognizes one handed ASL gestures of alphabets (A-Z) with highly consistent, fairly high precision and accuracy.
Identifying Learners’ Difficulties in ESL Reading Comprehension

Reading is one of the fundamental skills in language learning and all English as Second Language (ESL) learners need to acquire it in order to master a language. However, statistics show that Malaysians are not reading enough especially the school students who are labeled as reluctant readers. This is deeply reflected in their reading comprehension which is one of the tested components in the SPM examination. Therefore, this study aimed to identify the learners’ difficulties in ESL reading comprehension. Thus, a survey was conducted among 80 upper secondary students in Johor. Questionnaires were used in the survey and given out to the respondents involved. The data obtained from the survey were analysed using SPSS. There were five categories of reading comprehension difficulties among the upper secondary school students. Based on the analysis, it was found that most of the students have agreed that the main difficulty faced by them in ESL reading comprehension is related to the reading process. Finally, the implications of these findings on ESL reading comprehension difficulties were discussed from the aspects of what the teachers could do in their teaching practices to address this issue and provide ways to solve them.