Reviewerly/exHarmony huggingface dataset:
Introduction to a special section on ‘Computational Methods for Literary–Historical Textual Scholarship’

All sorts of surprising discoveries about literary and historical texts have been made in the past 30 years or so by investigators employing new computational methods unavailable to previous generations. One landmark publication was John Burrows’s book Computation into Criticism (1987), which showed that literary scholars had been simply ignoring most of the available evidence, as expressed in the celebrated opening sentence ‘It is a truth not generally acknowledged that, in most discussions of works of English fiction, we proceed as if a third, two-fifths, a half of our material were not really there’. Burrows showed that the function words—the 100 or so words that comprise articles, conjunctions, prepositions, and other linguistic ‘glue’ holding our sentences together—are just as amenable to literary criticism as the more visible, rarer lexical words. Burrows could undertake his innovative research because digital transcriptions of literary works made it possible to count the function words, and he developed a series of algorithms for processing the resulting counts that are now widely used in the field. Since 1987, many more texts have been digitized and many more algorithms have been invented to process them in various ways. A conference at De Montfort University, Leicester, on July 2018, generously funded by the UK’s Arts and Humanities Research Council and by the host university, was an opportunity to take stock of where these three decades of work had brought those interested in analysing texts using computers. This special section of Digital Scholarship in the Humanities presents a selection of the best articles from the conference; other fine articles had already been committed to other outlets.
American Sign Language Electromiographic Alphabet Sign Translator

Communication between people is complicated, thus is due to correct idea and thought expression. But for the deaf or mute people this is even worse due to that our main communication channel is sound. They can use their own language using sign and ideograms made with hands, called American Sign Language. But as every language it is needed to learn and the population that dominate this language is small. In this work we propose an American Sign Language translator for 24 alphabet signs, using a wearable that give us eight electromiographic signals and KNN classifier for signs processing with 80% of accuracy.
A Refinement Calculus for Requirements Engineering Based on Argumentation Semantics

The requirements problem consists of transforming stakeholder requirements - however informal, ambiguous, conflicting, unattainable, imprecise and incomplete – into a consistent, complete and realizable specification through a systematic process. We propose a refinement calculus for requirements engineering (CaRE) for solving this problem, which is inspired by the typically dialectical nature of requirements activities. The calculus casts the requirement problem as an iterative argument between stakeholders and requirements engineers, where posited requirements are attacked for being ambiguous, incomplete, etc. and refined into new requirements that address the defect pointed out by the attack. Refinements are carried out by operators provided by CaRE that refine (e.g., strengthen, weaken, decompose) existing requirements to eliminate the defect under attack, to build a refinement graph. The semantics of refinement graphs is based on the notion of acceptable argument in Dung’s argumentation theory.
High gain observer-based visual servoing for depth estimation in robotics

In the engineering field, we are always facing with the system or process with nonlinear type which is not trivial to control its behaviour, and to response this problem we just equipped different type of sensors to be able to analyse the output measurement. Unfortunately, we can not use lot of sensor in a system due to its cost and also the limited in terms of technology examples: finding the temperature in a heater exchange or to know the impact of the wind on a car, etc. That is why we use to create the virtual sensor called observer to replace or make a redundancy with the physical sensor, by applying this type of sensor we can improve the performance of the system in terms of cost and especially in the case when we can not use the physical sensor. This paper proposes a mono-vision depth estimation method for mobile robots, based on high gain observers. The objective of this paper is to estimate the distance between the robot and target object by using only a camera fixed on-board. The proposed method switches between multiple observers in order to gauge the distance between the camera and the target object. Simulations and experimental results illustrate the practical applicability and benefits of this method for visual servoing.
Multiscale Image Matching Based on Corner Points

Corner point is one important kind of image features. Corner detection is a fundamental operation in many tasks of image analysis and computer vision, and the detected corners can be exploited to solve various problems. In this paper, we present a multiscale algorithm for matching the corner points between a pair of homologous images. Compared with existing algorithms based on feature descriptors, the proposed algorithm can achieve better matching accuracy. Experimental results show that our proposed algorithm favorably compares with the state-of-the-art image matching algorithms.
Detection of Covert Timing Channels with Machine Learning Methods Using Different Window Sizes

In this study, delays between data packets were read by using different window sizes to detect data transmitted from covert timing channel in computer networks, and feature vectors were extracted from them and detection of hidden data by some classification algorithms was achieved with high performance rate.
Big Numbers for a Big Universe

The Square Kilometre Array is the world's largest mega-Science project of the next decade aiming to build enormous radio telescope arrays across Western Australia and Southern Africa. With 160 TeraByte/sec data generated in just stage one of the 50 year project and over 260 PetaFLOPS compute requirements it presents unprecedented data movement and processing challenges in its correlators, the detection and timing of pulsars, supercomputing pipelines for generating images, and scalable middleware. This talk will outline the project and its scientific goals, some of the key data processing pipelines, and will discuss the progress made by the design teams toward overcoming its computing challenges.
GENDER APPROACH AS A NECESSARY CONDITION FOR FORMING GENDER COMPETENCE OF STUDENTS' YOUTH

The monograph is devoted to the consideration of theoretical and applied aspects of the modern pedagogy and psychology.In particular, the essential properties of current training of future specialists, factors of its effectiveness, its key elements, principles, functions, means and techniques of project training and features of using the project method from the positions of the competence approach are analysed.The signs of the traditionally leading institution of socialization have been defined: conservatism, unification, limitations of influence in time, and the existence of a corps of professional socializers. The importance of a detailed study of the problem of marginalization, the conditions and resources for the demarginalization of the pedagogical community and its individual segments have been emphasized.In addition, the main trends and directions in the study of ethnogenesis, ethnic consciousness and ethnic culture of the Crimean Tatars are being considered.
Analysis the Influencing Factors of Intelligent Cube Interaction Design

Objective Improve the user experience design of the intelligent Rubik's cube. It makes it easier to manipulate Cube and applications, quickly understand and memorize Cube knowledge, and enhance the game's immersion. Method According to the shortcomings of the intelligent Rubik's cube interaction design, taking Giiker super cube as an example, analyzing the influencing factors of user experience by ISM. Analysis of the intrinsic links of the following four parts: a combination of teaching and games, a way of operation, learning effect and stimulating interest. The steps are: building an indicator system; establish an adjacency matrix; calculate reachable matrix; reduce reachable matrix; classification hierarchy; draw the directed graph. Conclusion We can improve the interaction design of Smart Cube in the following two aspects: 1) The good integration of knowledge and games enhance the quality of learning. The method that can be used improve the comprehensibility and easy memory of text, give appropriate knowledge tips and guidance when users are having difficulty operating, according to the data analysis user's learning process and weakness, form a corresponding learning plan.2) Interesting, immersive, and stimulating: Establish a competitive model to stimulate the user's conquering desire. Establish a reward mechanism to give users achievement. Multi-channel interaction brings a rich and pleasant interaction experience.
Feature Selection by Using Heuristic Methods for Text Classification

Feature selection can be defined as the selection of the best subset to represent the data set in machine learning applications, in other words extraction of the unnecessary data that has no effect on the result. In classification problems efficiency and accuracy of the system can be increased when the dimension is reduced by feature selection. In this study, text classifying application is performed by using the data set of “20 News Group” released in Reuters News Agent. The pre-processed news data were converted to vectors by using Doc2Vec method and the data set was created and classified by Naive Bayes method. Subsequently, a subset of the data set was formed by using heuristic methods that were inspired by nature (Whale and Gray Wolf Optimization Algorithms) and Chi-square method for feature selection. Then the reclassification was applied and the results were compared. While the success of the system with 600 features before the feature selection is 0.9214, the performance ratio of the 100 featured models created later is figured higher (0.94095 - 0.93833 - 0.93619).
An Entropy-Based Technique for Conferences Ranking

Ranking of conferences is carried out to guide the researchers so as to publish their work in top-level venues. Existing works are needed to be improved in regard to accuracy. In this paper, we have proposed a ranking technique of conference papers named as influence language model (InLM). It uses entropy to calculate score for the purpose of ranking. It identifies level of the paper as well as level of the conference based on entropy score. Experiments have been performed on bigger dataset. The results reflect better position in comparison to the existing systems.
Yapay Zeka, Akıllı Şehirler ve Kalkınma

Development; Improving the social and economic structure of an country, and reaching up to the advanced contemporary countries. Today, many different organizations are being organized and supported for the development and acceleration of development. This study will examine what artificial intelligence based smart cities can provide for development, their contribution sand their impacts. These contributions and effects are seen from many different angles, not from a single angle. At the same time, these effects support both each other and development at the same time. It can be said that smart cities and intelligent city systems can help to evolve in many different ways. Smart cities will be able to plan and reduce current consumption with the regulation of old systems, electricity consumption forecasting, instant monitoring, smart meters and intelligent lighting systems. Besides, planned reconstruction, ecological buildings, safe and uninterrupted energy can provide prosperity. In this way, the cities become more economical, safe, livable and comfortable and at the same time they can contribute to development. In general, the economic development of intelligent cities is in the forefront. In fact, most of the intelligent urban planning work on Earth has been made because of economic concerns, and therefore the intelligent city system has been introduced. As a result of these passages, good results have been obtained from the examples. When old systems are organized and intelligent, electricity costs will decrease, instant follow-up will be possible and the user will be able to pre-purchase the required energy with electricity consumption estimation. At the same time, these systems can also facilitate management. Planned construction will result in a more modern city image that will reduce excavation, infrastructure work and similar costs. In addition to reducing air pollution, ecological buildings can contribute economically by producing some of their own energy. In summary; A smart city system with good planning can be a locomotive for development.
An investigation of gradient as a feature cue for saliency detection

Salient object detection is a prominent research topic, based on a human's ability to selectively process conspicuous objects/regions within a scene. With many low-level features being adopted into saliency models, gradient is often overlooked. We investigate the effectiveness of gradient as a feature, applying and evaluating multiple image gradient operators. Scale is also addressed via the use of different sizes of convolutional masks and by varying the neighbour region to calculate gradient contrast. Finally, we present and evaluate a single scale saliency model with the respective gradient cue from each operator, for the detection of salient objects. Each model is evaluated on the publicly available MSRA10K salient object dataset.
Izražanje spola v frazeologiji: samostalniški frazemi med slovarjem in korpusom

In the article I describe the characteristics of gender of nominal phrasemes containing the semantic component “human.” I defined the phrasemes by gender, including the subgender of animacy and human, and their referential gender on the basis of their definitions in dictionaries and their textual realizations. The comparison revealed that non-actualized definitions of gender-marked phrasemes in dictionaries maintain or intensify certain sexually-related stereotypes about men and women.
Multi-Rate Signal Processing with the Use of Filter Banks Composed of Parallel FIR Filters

The paper presents a concept of a hardware implementation of 2-D finite impulse response (FIR) filter banks for the application in image processing and analysis. Banks composed of low-and high-pass FIR filters are basic components of multi-stage discrete wavelet transform (DWT). The applications of such solutions that are in the scope of our interests are vision systems used in automotive active safety functions (e.g in line departure warning). Basics of the DWT are broadly described in the literature. In our work we focus on solutions supporting hardware realization of filter banks for DWT. The proposed parallel and asynchronous circuits allow to achieve the processing time for a single pixel not exceeding 2 to 4 ns, depending on the size of the mask (data for TSMC 180 nm CMOS process).
Performing Robot's Head Motion Simulation by Human Head Movement Activity using 3D-AAM

This project describes an interaction between humans and humanoid robot platforms by balancing according to their center of gravity, as shown in the mannequin model. The center of gravity in humans is explained in detail to control the robot's head. The application built explains how humanoid robots can mimic human movements through the Kinect camera sensor with a three-dimensional depth where the sensor functions to activate and provide results. Analysis of the position of the user's head. The purpose of this paper is controlling the movement of the head robot with Kinect. The Kinect retrieves data from the user's head in detail, to obtain head motions user then translated into the programming language. Head motions data is essential for output data to control motor motions in the head mannequin. Communication data were wirelessly coordinating with the microcontroller. The results have shown our system can detect head motion 180 degrees left to right and robot's head motion with error percentage maximum of 3%.
Lexical Resources for Low-Resource PoS Tagging in Neural Times

More and more evidence is appearing that integrating symbolic lexical knowledge into neural models aids learning. This contrasts the widely-held belief that neural networks largely learn their own feature representations. For example, recent work has shows benefits of integrating lexicons to aid cross-lingual part-of-speech (PoS). However, little is known on how complementary such additional information is, and to what extent improvements depend on the coverage and quality of these external resources. This paper seeks to fill this gap by providing a thorough analysis on the contributions of lexical resources for cross-lingual PoS tagging in neural times.
Gauge Transformations for Recasting Potential Representations

Conversion of a field representation such as TM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">z</sub> to a different representation such as a TM <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">r</sub> by means of general gauge transformations is demonstrated by considering radiation from a dipole.
Differentially private transmission control protocol synchronise packet counts

Copyright: 2019 International Journal of Network Security. Due to copyright restrictions, the attached PDF file only contains the abstract of the full text item. For access to the full text item, kindly consult the publisher's website.
ArcGIS Map - Location Based Khasra, Village & Property Mapping with Offline Functionality

Abstract: This project is based on real time requirement and very useful for society. As we know that in today’s time everything is going to be online. By using this project one can know about his/her own registered property details like khasra number, khasra area, landowner name, land type, property location etc. In this project we have implemented custom map of a city for user's property with some important details and some operations. It will resolve the problems associated with land records. Now no need to go any office or contact any officers to check our registration for land. Now no need to invest money for land records. This project will also control corruption that is taking by babus. We are using geodatabase and ArcGIS Map library to develop this project. Geodatabase contains essential details and ArcGIS Map library offers feature to load custom map and perform different operations. Using geodatabase and ArcGIS Map library we have successfully implemented our ideas to show custom map for Khasra, Village and Property with different operations like Search Khasra, Layer Transparency, Map Zoom, Find Distance, Find Area, Current Location etc. Keywords: GIS, Geodatabase, babus, ArcGIS, Mobile Communication. Cite this Article Sunil Kumar Jain, Sandeep Kumar Jain. ArcGIS Map: Location Based Khasra, Village and Property Mapping with Offline Functionality. Journal of Telecommunication, Switching Systems and Networks. 2019; 6(1) 15–24p.:
Grounding for an Enterprise Computing Nomenclature Ontology

We aim to lay the basis for a unified architecture for enterprise computer nomenclatures by providing the grounding ontology based upon the BORO Foundational Ontology. We start to lower two significant barriers within the computing community to making progress in this area; a lack of a broad appreciation of the nature and practice of nomenclature and a lack of recognition of some specific technical, philosophical issues that nomenclatures raise. We provide an overview of the grounding ontology and how it can be implemented in a system. We focus on the issue that arises when tokens lead to the overlap of the represented domain and its system representation – system-domain-overlap – and how this can be resolved.
Computing the Fourier Transformation over Temporal Data Streams (Invited Talk).

In radio astronomy the sky is continuously scanned to collect frequency information about celestial objects. The inverse 2D Fourier transformation is used to generate images of the sky from the collected frequency information. We propose an algorithm that incrementally refines images by processing frequency information as it arrives in a temporal data stream. A direct implementation of the refinement with the discrete Fourier transformation requires O(N^2) complex multiplications to process an element of the stream. We propose a new algorithm that avoids recomputations and only requires O(N) complex multiplications.
A Tractable Logic for Molecular Biology.

We introduce a logic for knowledge representation and reasoning on protein-protein interactions. Modulo a theory, formulas describe protein structures and dynamic changes. They can be composed in order to add or remove static and dynamic observations. A second-order circumscription operator then enables nonmonotonic reasoning on the changes implied by a formula. We introduce deduction rules that produce formulas which are, up to equivalence, in a first-order fragment with decidable satisfiability and validity. Importantly, the rules can produce circumscribed formulas.
Towards continuous evolution through automatic detection and correction of service incompatibilities

Systems with long life times need to continuously evolve after deployment in response to changing technology and business needs. Lacking this ability not only prevents systems from quickly reacting to these changes, but also increases risk, as many small updates are collected into big infrequent upgrades. Service-oriented architectures support continuous evolution by decoupling the application from a particular product, technology, and implementation using service interfaces that hide the component implementing the service. However, this arrangement results in a large number of possible interactions between different components and versions, making it difficult and time-consuming to detect and correct incompatibilities caused by updating service interfaces. This paper has three main contributions towards enabling continuous evolution in service-oriented architectures: 1) the state-of-the-art in the areas of specification of service interfaces, and detection and correction of incompatible service interactions is surveyed, 2) directions for a methodology to detect and correct incompatible interactions that is currently under development are discussed, and 3) the methodology is discussed in the context of a simplified industrial case study from the defense domain.