Reviewerly/exHarmony huggingface dataset:
Multi-view Representation Learning for Unifying Languages, Knowledge and Vision

The growth of content on the web has raised various challenges, yet also provided numerous opportunities. Content exists in varied forms such as text appearing in different languages, entity-relationship graph represented as structured knowledge and as a visual embodiment like images/videos. They are often referred to as modalities. In many instances, the different amalgamation of modalities co-exists to complement each other or to provide consensus. Thus making the content either heterogeneous or homogeneous. Having an additional point of view for each instance in the content is beneficial for data-driven learning and intelligent content processing. However, despite having availability of such content. Most advancements made in data-driven learning (i.e., machine learning) is by solving tasks separately for the single modality. The similar endeavor was not shown for the challenges which required input either from all or subset of them.In this dissertation, we develop models and techniques that can leverage multiple views of heterogeneous or homogeneous content and build a shared representation for aiding several applications which require a combination of modalities mentioned above. In particular, we aim to address applications such as content-based search, categorization, and generation by providing several novel contributions.First, we develop models for heterogeneous content by jointly modeling diverse representations emerging from two views depicting text and image by learning their correlation. To be specific, modeling such correlation is helpful to retrieve cross-modal content. Second, we replace the heterogeneous content with homogeneous to learn a common space representation for content categorization across languages. Furthermore, we develop models that take input from both homogeneous and heterogeneous content to facilitate the construction of common space representation from more than two views. Specifically, representation is used to generate one view from another. Lastly, we describe a model that can handle missing views, and demonstrate that the model can generate missing views by utilizing external knowledge. We argue that techniques the models leverage internally provide many practical benefits and lot of immediate value applications.From the modeling perspective, our contributed model design in this thesis can be summarized under the phrase Multi-view Representation Learning( MVRL ). These models are variations and extensions of shallow statistical and deep neural networks approaches that can jointly optimize and exploit all views of the input content arising from different independent representations. We show that our models advance state of the art, but not limited to tasks such as cross-modal retrieval, cross-language text classification, image-caption generation in multiple languages and caption generation for images containing unseen visual object categories.
A Survey Paper On Credit Card Fraud Detection Using Different Classifiers

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Path Planning in Heterogenous Environments: A Combined Approach

Autonomous vehicles are the inevitable future of the industry as theoretically they guarantee higher road throughput and a much safer means of transport compared to today’s ground vehicle. This has attracted the industries and universities making it a very important topic of research. The basic function of the autonomous vehicle boils down to transporting its passenger safety from door to door. This requires planning of a path that is obstacle free. Currently, sampling-based methods are widely used for path planning. Although these methods are proving to be successful in open environments, they are inefficient in heterogeneous environments. Planning in urban environments would be successful if this obstacle is tackled. In the current literature, it was found that there are many methods which focus on solving the path planning problem while planning around the obstruction, while there are other methods that focus on converging to optimal solutions. Hence, there is a need for methods that would plan optimal paths in heterogeneous environments. This thesis introduced a combined approach that shares elements of planning paths around obstacles and optimal path planning which are provided by the algorithms Adaptive RRT and Informed RRT* respectively. These methods are combined along with a Dubin’s motion model to simulate basic vehicle’s constraints. The proposed approach was compared with state of the art methods like RRT* to evaluate its performance via simulation. The simulation was carried out in three different scenarios with variable complexity depending upon the available free configuration space. The ability to find a solution and converge it were evaluated, an improvement of 50% was noticed in finding the initial solution and around 25% improvement was seen in convergence. This concluded that such a hybrid approach could be an important contribution to urban path planning.
To the Centenary of the Birthday of the Outstanding Physicist I.Z. Fisher

February 24, 2019 marks the 100th anniversary of the birth of the prominent physicist-theorist Iosif Zalmanovich Fisher, Professor of I.I. Mechnikov University of Odessa. He was born in Minsk. The young guy&#x0D; became fully aware of the horror of Stalin’s repressions. At the end of 1937, his father was executed by&#x0D; shooting. The same year, his mother was sentenced to a prison term of seven years. In 1941, on the eve of&#x0D; the war, he graduated with distinction from the Faculty of Physics and Mathematics of the Belarusian State University (BSU).
THE DIAGNOSTIC STUDY OF CREATIVE ABILITIES OF THE PRIMARY SCHOOL CHILDREN WITHIN THE ARTISTIC AND CREATIVE ACTIVITY

The historical transformations of recent years have dramatically changed the value orientations of Russian society, which led to a change in the goals and objectives of education. The product of education should be a person with personality striving for self-education, able to organize the own creative activity in view of changing living conditions, the requirements of the society. In this regard, the issue of development of creative abilities of children is one of the most urgent at the moment. The paper presents the theoretical and diagnostic study of the creative abilities of the primary school children, characterizes the concept of “creative abilities” within the pedagogical context. The creative abilities are considered as the result of acquirement of knowledge and skills necessary for one or another type of the artistic and creative activity. From the point of view of the activity approach to creativity, the author considers the artistic and creative activity as a means of development of creative abilities of the primary school children. The paper presents the criterion-level characteristic of the development of creative abilities of the primary school children where each of the selected criteria has a system of indicators characterizing the manifestation of the studied qualities according to this criterion. Each diagnostic technique corresponding to one of the selected criteria is presented in detail. The author carried out the analysis of the results of the selected indicators of diagnostic research of the development of creative abilities of the primary school children. According to the studied indicators and criteria, in the studied group of the primary school children, the creative abilities are developed at the high level among 36.5 % of schoolchildren, at the low level - among 13.5 % of schoolchildren, and 50 % of schoolchildren have the medium level of the development of the creative abilities.
Artificial Intelligence as an Emerging Technology in the Pharmaceutical Industry: What are the Legal Challenges?

This article explores the possibilities and challenges of implementing emerging technologies in the form of Artificial Intelligence in the Pharmaceutical Industry under the current European legal framework governing medicinal products and medical devices. This includes among other things the question, to which degree an AI-programmer or the pharmaceutical manufacturer using such AI can be held liable for damages caused by the decisions of an autonomously acting AI-system.
Pocket: Elastic Ephemeral Storage for Serverless Analytics.

Serverless computing is becoming increasingly popular, enabling users to quickly launch thousands of short-lived tasks in the cloud with high elasticity and fine-grain billing. These properties make serverless computing appealing for interactive data analytics. However exchanging intermediate data between execution stages in an analytics job is a key challenge as direct communication between serverless tasks is difficult. The natural approach is to store such ephemeral data in a remote data store. However, existing storage systems are not designed to meet the demands of serverless applications in terms of elasticity, performance, and cost. We present Pocket, an elastic, distributed data store that automatically scales to provide applications with desired performance at low cost. Pocket dynamically rightsizes resources across multiple dimensions (CPU cores, network bandwidth, storage capacity) and leverages multiple storage technologies to minimize cost while ensuring applications are not bottlenecked on I/O. We show that Pocket achieves similar performance to ElastiCache Redis for serverless analytics applications while reducing cost by almost 60%.
Towards Artificial Intelligence. Sociological Reflections on the Relationship Man - Organization - Device

Abstract The main goal of the study will be to pay attention to technologization of the learning process and its social dimensions in the context of artificial intelligence. The reflection will mainly cover selected theories of learning and knowledge management in the organization and its broadly understood environment. Considering the sociological dimensions of these phenomena is supposed to lead to the emphasis on the importance of the security of the human-organization-device relationship. Due to the interdisciplinary nature of the issue, the article will include references to the concept of artificial intelligence and machine learning. Difficult questions will arise around the ideas and will become the conclusion of the considerations.
Real Time Traffic Light Controller Using Image Processing

The frequent traffic jams at major intersections calls for an effective management system.This paper suggests implementing a smart traffic controller by image processing using Raspberry pi module.A camera will be installed on the four sides to capture image sequences.The captured images will then be analyzed using digital image processing for vehicles intensity, and based on this intensity on the road, traffic light can be controlled.It has been customized to control the traffic system by giving sufficient time for each side, depending on the number of cars on each direction to give out a way for ITS [Intelligent Transport System].
Challenges of the Bitcoin in the Arabic Countries

Recently, the world has seen the emergence of new phenomenal technology named crypto currency (Bitcoin) which is attracted to several international networkers across the globe. Yet, the Bitcoin was the online currency which is replaced the hard currency in a business online transaction and was accepted only by internet users so far. Though, this invisible currency was not allowed or even accepted in Arab world society because of religious circumstances or governmental consent. In this study, we tried to analyze the real challenges and necessitates that face the Bitcoin in the Arabian region. Therefore, the outcomes have been found that Islamic business rules somehow have restricted the using of the Bitcoin process in financial transactions. Furthermore, the lowest and highest service cost of internet represent the key consequences behind lessen of using Bitcoin. According to Google trends Data from 2013 to 2019, many Arabian-individuals did not know or even unfamiliar with the use of Bitcoin. Keywords: key words, Bitcoin; Arabic countries; Islamic; Internet services DOI : 10.7176/JESD/10-6-18 Publication date :March 31 st 2019
Horses for courses: Making the case for persuasive engagement in smart systems

Current thrusts in explainable AI (XAI) have focused on using interpretability or explanatory debugging as frameworks for developing explanations. We argue that for some systems a different paradigm – persuasive engagement – needs to be adopted, in order to affect trust and user satisfaction. In this paper, we will briefly provide an overview of the current approaches to explain smart systems and their scope of application. We then introduce the theoretical basis for persuasive engagement, and show through a use case how explanations might be generated. We then discuss future work that might shed more light on how to best explain different kinds of smart systems.
Microwave-driven high-fidelity quantum logic with 43Ca+

We present the design and initial characterisation of a next-generation surface-electrode ion-trap designed for room-temperature or cryogenic operation, that will aim to improve both the fidelity and speed achieved in microwave-driven quantum gates.
플립러닝 기반 공학수업 개선 방안 연구- 국내 C대학 공학수업 운영 사례를 중심으로 -

This study analyzed the evaluations of instructors and experts on flipped learning-based engineering in order to suggest improvement strategies. This...
Towards a legal regime for the use Stem Cells Comparative analytical Study

Stem cells are a modern scientific method discovered by the scientific development to treat many of the intractable diseases because of their specificity and their ability to divide and differentiate into specialized cells that are a plant in the building of cells, tissues and organs, as well as their multiple sources. However, the Iraqi Civil Code has now regulated the legal treatment of this method Although modern use is permissible in the Koran and the Sunnah and Islamic jurisprudence
A time-domain multiplexed measurement-based large-scale optical quantum computer

I will explain the methodology of a time-domain multiplexed measurement-based optical quantum computer.
Spiritual And Moral Development Of Individual In Network Educational Paradigm

The article studies and analyses the problem of spiritual and moral development of individual in the network educational paradigm, the emergence of which is the result of an entry into the era of the fourth industrial revolution, i.e. the digital era, the era of the information society and nanotechnology, the era of emergence of new cultural models and changes in the cultural paradigm.According to the authors, task-oriented and consistent design of the spiritual and moral development of an individual in the network space and time continuum can resist ideologemes in education, withstand “traditions” of the action-based pedagogy and be aimed at development of a person. Such design can be multivariate and alternative and be based on a synthesis of liberal and natural science knowledge, rational thinking and cultural context. Using the model of network interaction, KalmSU named after B.B. Gorodovikov jointly with the School League (St. Petersburg) in the framework of the federal educational program “School League of ROSNANO” have developed a conceptual approach, organizational and methodological support of the process of design of spiritual and moral development of an individual in the network educational paradigm. The principles of learning in the framework of this program are humanist-based education; student-based learning technologies; critical thinking technologies; traditional and virtual educational space; mutual training of network members; awareness of results of local research, the object of which is deliberately limited from the point of view of the territory, chronology, problems and research works.
Hello folks,We talked about a video annotation tool called Vialogues. I'm thinking this might be a tool that could be used in a common library

Hello folks,We talked about a video annotation tool called Vialogues. I'm thinking this might be a tool that could be used in a common library
A Deep Architecture for Chinese Semantic Matching with Pairwise Comparisons and Attention-Pooling.

Semantic sentence matching is a fundamental technology in natural language processing. In the previous work, neural networks with attention mechanism have been successfully extended to semantic matching. However, existing deep models often simply use some operations such as summation and max-pooling to represent the whole sentence to a single distributed representation. We present a deep architecture to match two Chinese sentences, which only relies on alignment instead of recurrent neural network after attention mechanism used to get interaction information between sentence-pairs, it becomes more lightweight and simple. In order to capture original features enough, we employ a pooling operation named attention-pooling to convergence information from the whole sentence. We also explore several excellent performance English models on Chinese data. The experimental results show that our method can achieve better results than other models on Chinese dataset.
Assessing the practicality of ARK identifier usage in a catalogue of medieval manuscripts

In data management, the use of identifiers is essential for disambiguation and referencing. The scope of the use of identifiers varies. For example, disambiguation within an institution using integer identifiers may be sufficient for operational procedures, whereas digital scholarship using global resources relies on universally unique identifiers. In this paper we investigate practical routes to globally unique identifiers for the medieval manuscripts of the Bodleian Library. The Oxford Linked Open Data (OxLOD) and Mapping Manuscript Migrations (MMM) projects require unique identifiers for the transformation of the medieval manuscripts catalogue into linked data, in an effort to increase discoverability and consistency across platforms. We consider how Archival Resource Keys (ARKs), a type of URI, can be applied to the Medieval Manuscript catalog as well as determining how ARKs can support MMM's research goals. We begin with examining the Text Encoding Initiative (TEI) catalogue records to under-stand the data provided and identify and describe entities which do not presently have identifiers. Further, we evaluate ARKs for producing identifiers, prioritizing those which are required to answer common research questions.
Keynote

In 1981, Richard Feynman proposed a device called a 'quantum computer' to take advantage of the laws of quantum physics to achieve computational speed-ups over classical methods. Quantum computing promises to revolutionize how and what we compute. Over the course of three decades, quantum algorithms have been developed that offer fast solutions to problems in a variety of fields including number theory, optimization, chemistry, physics, and materials science. Quantum devices have also significantly advanced such that components of a scalable quantum computer have been demonstrated; the promise of implementing quantum algorithms is in our near future. I will attempt to explain some of the mysteries of this disruptive, revolutionary computational paradigm and how it will transform our digital age.
Observing Team Collaboration Personality Traits in Undergraduate Software Development Projects

Team collaboration is an important aspect of software development.When translated to an undergraduate software engineering class, determining if the team is exhibiting positive collaboration toward successful milestone completion means knowing what actions to reward and when to intervene.Personality traits reflect a person's tendency toward collaborative behavior.However, it remains a challenge to determine if collaborative traits are effective predictors of team project success.In addition, it is unclear if the traits should be measured at the individual or team level.In this paper we examine team member collaborative personality traits and observe their appearance and relationship to grades at each of three product milestones during an undergraduate software engineering course.We use IBM Watson™ Personality Insights service to process online team conversations.The observed patterns indicate which traits are found in well-performing teams and show how trait manifestation can change during the course of the project.
Social, Pedagogical And Psychological Issues Of Informatization Of Additional Professional Education

Today, social and communicative space is the most powerful conglomerate of endless information flows and global networks in which an individual loses the ability to fully and objectively perceive, analyze and use information obtained in the process of communication. The biggest problem is caused by the fact that quite often people, who obtain information from the virtual environment, perceive it as 100% truth and cannot correctly correlate it with the reality, which results in the personality transformations. Such transformation occurs as manifestations of social and psychological phenomenon. Along with this, the information and communication space is a dynamic elevator of individual and status growth, providing an individual with the enormous potential for development, self-expression and self-improvement. In the context of global social transformations, the educational system should be focused on the development of an effective pedagogical paradigm, which is designed to provide favorable conditions for both social and professional development of individuals throughout their lives. Along with this, the informatization, as a global social process, necessitates strengthening of the information orientation of Russian education system, searching for new educational technologies and teaching methods. The article presents the results of a sociological study devoted to the study of the process of informatization of CPE in the Russian region. The most common uses of the Internet in the implementation of CPE programs are established. Promising trends in the development of CPE informatization are identified.
Visualisation of Diachronic Constructional Change Using Motion Chart

To cite, click the dark pink Cite button. The default citation style is DataCite. You can browse through the drop-down button for different citation style.This paper is presented at the International Seminar Language Maintenance and Shift IV (LAMAS IV) on the 18th of November 2014 in Semarang, Central Java, Indonesia. Slides (PDF) and figures (PNG) are available from Version 2 of this repository.The animated version of the scatterplot in the figure can be accessed here. You may need Adobe Flash Player installed in the browser to run the chart.Resources for linguistic motion charts by Martin Hilpert can be accessed here.
Quantum random number generation with partially characterized devices based on bounded energy

We demonstrate quantum random number generation with partially characterised devices based on a natural, physical assumption - a bound on the energy transmitted between preperations and measurements. We achieve a random bit rate above 1 MHz.