Reviewerly/exHarmony huggingface dataset:
Convolutional Neural Network for Raindrop Detection

In the technique of recognizing objects based on camera images, Raindrops that are adsorbed to camera lenses and refracting the incoming light are the main factors of lowering the recognition rate. Existing methods for detecting these droplets mainly define ideal droplet forms and detect areas similar to those defined in the image to determine whether or not to absorb Raindrops in the image. However, since the shape of the droplet varies from lens to lens, it is difficult to determine whether the droplet is absorbed by various cameras by conventional methods. Therefore, this paper presents a Deep learning method of detecting Raindrops of various shapes, which were difficult to detect by conventional signal processing methods.
Why Software Development Hiring Is Broken

Hiring in software development is horribly, perhaps irretrievably, broken. As both a software development manager and a software developer, I’ve seen the process stop good developers from getting jobs while incompetent numbskulls who shouldn’t be anywhere near production get hired over and over again. The latter do so only to get fired a few months later when they can’t deliver results. Usually the rest of us get to clean up their results for months or years after they are gone. It’s really dumb that most places use a broken process, but that’s the reality we have to deal with.
ПОТЕНЦИАЛ WOLFRAM-ТЕХНОЛОГИЙ В ИССЛЕДОВАНИИ ТЕОРЕТИКО-ИГРОВЫХ МОДЕЛЕЙ

Within this article didactic, applied and research potentials of technologies of the modern knowledge base and a set of computing algorithms Wolfram in research of the game-theoretic models which are of particular importance in applied mathematical training of students of an economic bachelor degree in REU of G.V. Plekhanov are considered. Recommendations about use of Wolfram-technologies in the course of the research of game-theoretic models of the social and economic situations which are characterized by antagonism are submitted. The ideas stated in article can be used in a designing process of professionally significant subject matters, such as “Game theory”, “Theory of decision-making”, “Research of operations in economy”. Questions in the field of the game theory – relatively young science are the focus of attention of article. Its methods and models which development was begun about fifty years ago were demanded in the analysis of social and economic situations taking into account features of the information environment of decision-making. So far game-theoretic models, being special models of a research of operations, provided a lot of useful information for practice of decision-making. In article it is noted that application of the main questions of game-theoretic modeling is possible in various spheres of activity, in particular, in business, finance, policy and sport and also in daily household interaction and adoption of everyday decisions. In development of applied mathematical training of the bachelor of economy in REU of G.V. Plekhanov we faced need of formulation of the most important concepts of the game theory in language clear to the student of a bachelor degree and designed educational process taking into account minimization of theoretical reasoning and their replacement by the quantitative analysis of social and economic situations. We assign an essential part in strengthening of applied professional orientation of mathematical preparation to modern information technologies. In particular, in the context of development of ideas of game-theoretic modeling the modern knowledge base and a set of computing algorithms WolframAlpha is of special interest.
Refugees and Information Technology: Greater Opportunities or Novel Concerns?

The current realities concerning the global refugee crises are challenging: protracted crises in variant geographic locations, substantial population displacement with over 68.5 million refugees worldwide, donor fatigue and decreasing amounts of aid, host community fatigue and increasing levels of frustration. In the context of the Syrian refugee crisis specifically, daily life challenges make survival difficult. At the same time, Syrian refugees are reported to be the most technologically enabled refugees. The press has extensively reported on their use of personal technologies such as smartphone devices and have engaged in debates on a number of related questions. For example, there has been much debate about the safety threats, the governance parameters, privacy dynamics, and the choices concerning technology purchases that may limit other possible resource attainment and many other issues. Such issues lead us to explore the role of information and communication technologies in refugee adaptation to this major disruption, including refugee integration. The general aim of this symposium is to bring together researchers and practitioners from management, innovation, entrepreneurship, social and information technology fields to discuss, and debate the role of technology in the response of refugees and refugee communities as well as other stakeholders to the current global refugee crises. The hope is to carve out pathways forward for research, theory development and practical policy interventions vis-Ã -vis refugee crises that focus on the intersections and interactions between technology and the personal efforts of the refugees. Impact of ICT on Community Participation in Refugee Camps Presenter: Raymond Saner; CSEND research SDGs RBC Presenter: Lichia Saner-Yiu; Centre for Socio-Eco-Nomic Development Social Innovation for the Win: How an “AirBnB for Refugees” Shapes Refugee Integration Presenter: Hans Van Dijk; Tilburg U. Presenter: Sophie Alkhaled; Lancaster U. Management School Presenter: Lena Knappert; Tilburg U. Presenter: Gabi Dodoiu; - Presenter: Quita Muis; tilburg uni Refugees and feminist notions of work: how the smartphone transformed power dynamics and work Presenter: Randa Salamoun; American U. of Beirut Presenter: Charlotte M. Karam; American U. of Beirut How to improve societal impact by technology firms in fragile and conflict settings Presenter: John E. Katsos; American U. of Sharjah Presenter: Jason Miklian; U. of Oslo ICTs and resettlement of refugees: Practitioner stories from the trenches Presenter: Michael Coniff; Rochester Refugee Resettlement Services
Continuous Quality Control and Advanced Text Segment Annotation with WAT-SL 2.0

Today's widely used annotation tools were designed for annotating typically short textual mentions of entities or relations, making their interface cumbersome to use for long(er) stretches of text, e.g, sentences running over several lines in a document.They also lack systematic support for hierarchically structured labels, i.e., one label being conceptually more general than another (e.g., anamnesis in relation to family anamnesis).Moreover, as a more fundamental shortcoming of today's tools, they provide no continuous quality control mechanisms for the annotation process, an essential feature to intrinsically support iterative cycles in the development of annotation guidelines.We alleviated these problems by developing WAT-SL 2.0, an open-source web-based annotation tool for long-segment labeling, hierarchically structured label sets and built-ins for quality control.
Exact-match Based Wikipedia-WordNet Integration

Ability to link between WordNet synsets and Wikipedia articles allows usage of those resources by computers during natural language processing. A lot of work was done in this field, however most of the approaches focus on similarity between Wikipedia articles and WordNet synsets rather than creation of perfect matches. In this paper we proposed a set of methods for automatic perfect matching generation. The proposed methods were evaluated and integrated into one unified solution for generating matches with good quality. The paper describes and evaluates the proposed methods and presents the integration process. The evaluation of the final proposed solution is given.
EVALUASI PENYELENGGARAAN KB DAN TKK DI KABUPATEN MANGGARAI BERDASARKAN NORMA, STANDAR, PROSEDUR, DAN KRITERIA DITJEN PAUD

Abstract: Evaluating the Providence the Play Groups and Kindergarten in Manggarai Regency Based onthe Norm, Standard, Procedures, and Criteria of the Directorate General of Early Childhood Education. This study aims to evaluate providence of early childhood education especially the play groups and kindergartenin Manggarai Regency of East Nusa Tenggara. This evaluation based on the norm, standard, procedures, andcriteria of the Directorate General of Early Childhood Education. It was urgent because providence of earlychildhood educatin disturbs residents in Manggarai. The study used comprehensive evaluation methods with theapproach quantitative-deskriptive. Design evaluation use is goal attainment model developed by Tyler (1950).Steps of the evaluation approach are define an evaluation, develop an instrument, get data, and a analyse data bycompare data by available standards. A total population were 158 peoples of early childhood educationinstitutions in Manggarai Regency. The sampling technique used dispropotionated stratified random sampling.Data types of this research are quantitative data about the availability of documents and the application of theprovidence principles of education for play groups dan kindergartens students. The research used closedquestionnaire. Data was analyses by descriptive qualitative technique that used percentage technique. The resultof research showed that score of on each of the providence components the play groups and kindergarten inManggarai Regency were: (1) operational licenses and the establishment requirements of institutions was46,11% or the good enough category, (2) infrastructure requirements was 25,24 % and it was categorized asinadequate, (3) score of curriculum was 26,81% or the unfavourable category, (4) quality of human capital was16,99% and it was categorized as inadequate, (5) students administration, human resources, financial, andcommon management was 29,86% or the unfavourable category, (6) the financing management was 29,52% %or the unfavourable category, (7) the partnership was 7,31% and it was not good category, (8) evaluation anddevelopment management agency 4,15% and it was not good category, (9) application of early childhoodeducation principles was 33,01% or the unfavourable category, (10) the growing detection of child was 0,12%and it was not good category, and (11) providence principles of early childhood education was 100% or verygood category. The total score of the providence compenents of early childhood education was 29,01% orunfavourable category. Conclusion of the research is providence of play groups and kindergarten in Manggarairegency is clasificated as the unfavourable category based on the norm, standard, procedures, and criteria of theDirectorate General of Early Childhood Education. It was caused by low quality of human capital andinfrastructure resources.
On the Design of a Content based Image Retrieval System

With the abundance of multimedia content on the World Wide Web, research and learning of effective feature representation and similarity measures have become crucial. Image searching poses several challenges. Lately, many researchers have been exploring the field. Automatic annotation of images based on digital content processing proves to be an encouraging direction in the field. Content based image retrieval system development is an emerging field. Accuracy of the results of semantic search depends on the understanding of searcher’s purpose, the meaning of conditions imposed in the search query and their mapping in the searchable data space. A visual content semantic search engine is proposed in this paper. The search engine employs digital image features for searching the image database. The presented algorithm produces promising results. The performance of our algorithm is tested on an extensive set of tags and queries resulting in accurate and efficient results.
Future Directions in Cloud Computing Security

Government sectors, which were relatively reluctant to adopt cloud-based solutions due to security concerns, are also becoming interested and are predicted to switch to the cloud. Widespread mobile device access and the on-demand services offered by cloud providers amplify the security concerns and threats even further. Security issues may be raised in different layers in the cloud computing model. Individuals and enterprises working with big data systems are outsourcing the local data management to the cloud and are facilitated with greater flexibility, cost efficiency, and immense computation power. In response to newly introduced threats in cloud computing, several privacy and security models, techniques, and algorithms have been proposed. Privacy and security of data demand a rethinking and redesigning of data processing methodology in cloud computing platforms. Multiplexing the physical resources to virtual environments for different customers makes the cloud computing security challenges unique and complex.
Quantum Technologies for UAS (QTech)

Recent advances in small Unmanned Aerial System (sUAS) technologies lower the barriers for use by both private and commercial entities. However, these advances are also likely to lead to greater vehicle densities, a more heterogenous mix of vehicles and equipment and greater levels of vehicle autonomy, which can increase the chance for communications disruptions. For the safe and secure operation of these vehicles, it is essential to have a robust communications network. This work is focused on harnessing the power of quantum technologies to enable this robust communications network by: (1) utilizing quantum optimization algorithms to design robust network with routing redundancy that can respond adaptively to dynamically changing real-time environment and disruptions, (2) utilize quantum optimization algorithms resource allocation for detection, localization, and tracking of mobile communication disruption agents and (3) utilize quantum key distribution (QKD) to execute secure key sharing in anti-jamming protocols for secure radio frequency (RF) communication. Efforts to map these quantum optimization algorithms to commercially available quantum annealers and soon to be available general-purpose gate-model quantum hardware architectures will be reviewed, and plans for testing the solutions to these algorithms through indoor sUAS flight tests will be discussed. Lastly, efforts to miniaturize and practically deploy Quantum Key Distribution (QKD) hardware, which could ultimately be used to securely exchange encryption keys, in sUAS networks will be reviewed.
ACCUMULATING SOURCE EXPLOITATION OF VIRTUAL MACHINEFOR LOAD BALANCING IN CLOUD COMPUTING

Load balancing in cloud computing has assumed a pioneer job in improving the effectiveness. From 10 years prior there has been a speedy progression in the use of web and its applications. Appropriated computing is generally called web based computing where we rent the enrolling resources over the web. It is a remuneration for every usage show where you pay for the proportion of organizations rented. It gives different central focuses over the customary computing. With cloud computing expanding such a colossal vitality now days, the working environment culture is despite changing a similar number of people now particularly wants to work from home rather than going every day to office. There are three essential organizations gave by cloud that are SAAS, IAAS and PAAS. Load balancing is an incredibly main problem faced now days in cloud condition with the goal that the benefits are capably utilized. There are many load balancing algorithms available that are used to adjust the load of the client requests. In this paper we will propose a methodology which is a mix of Honeybee Foraging Algorithm, Active clustering algorithm and Ant Colony Optimization.
How Control-Trust Dynamics Influence Trust and Control Perceptions

This paper demonstrates that the ways managers combine their applications of control and demonstrations of their trustworthiness produce differential effects on the subordinates’ trust and control perceptions. When managers either apply outcome controls and demonstrate their integrity or apply clan controls and demonstrate their consideration, they produce higher levels of subordinate trust and decreased subordinate perceptions of managerial control. However, when managers apply behavior controls and demonstrate their capability, managers produce lower levels of subordinate trust and increased subordinate perceptions of managerial control. A key element that drives this moderating effect s is the level of behavioral autonomy that managers provide to their subordinates. The paper concludes with a discussion of how this perspective advances research on organizational control, organizational trust, and control-trust dynamics.
Media Suite: Unlocking Audiovisual Archives for Mixed Media Scholarly Research

This paper discusses the rationale behind and approach towards the development of a research environment –the Media Suite– in a sustainable, dynamic, multi-institutional infrastructure that supports mixed media scholarly research with large audiovisual data collections and available multimedia context collections, serving media scholars and digital humanists in general.
Stream Cipher Based Modified Espresso Algorithm for 5G Communication

Abstract To meet the requirement of 5G communication, Dubrova and Hell design Espresso, which is a stream cipher. Espresso uses 128-bit key, 96-bit initial vector (IV) and a 6-degree Boolean function as its output function. Jia-Min and Wen-Feng showed that algebraic attack is possible with time complexity being O(2 (66.86) ). In this paper, we present a methodology for the modification of Espresso with reformed Galois configuration of 256-bit Nonlinear Feedback Shift Registers (NLFSR) and 8-degree Boolean function as its output function. The advantages of Galois and Fibonacci configuration of NLFSRs, short propagation delay, and 8-degree Boolean function are combined in our algorithm which make it invulnerable to the classical algebraic attack and correlation attack. Keywords: Stream cipher, 5G, NLFSR, algebraic attack, Espresso Cite this Article Chinmay Bepery, Simab Al Ahmmed, Md. Moazzem Hossain Riad, Md. Arifur Rahman, Md. Samsuzzaman, Sayed Md. Galib. Stream Cipher Based Modified Espresso Algorithm for 5G Communication. Journal of Computer Technology & Applications. 2019; 10(1): 32–40p.
Cut Elimination for Sequent Systems

Cut elimination for a given sequent system $$\mathbf L$$ means that if a sequent is provable in $$\mathbf L$$ then it is also provable in $$\mathbf L$$ without using cut rule. Any proof P of $$\mathbf L$$ is said to be cut-free when P contains any application of cut rule in it. Intuitively, any cut-free proof is a kind of a proof without detours, or a direct proof, though it may be longer than a proof with cut. On the other hand, such a direct proof has many ‘good’ properties. Because of this, it is one of most important goals of syntactic study of logic to formalize a given logic in a sequent system and to show cut elimination for this system, although cut elimination holds for rather a limited number of sequent systems.
RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace

Spectral clustering has been widely adopted because it can mine structures between data clusters. The clustering performance of spectral clustering depends largely on the quality of the constructed affinity graph, especially when the data has noise. Subspace learning can transform the original input features to a low-dimensional subspace and help to produce a robust method. Therefore, how to learn an intrinsic subspace and construct a pure affinity graph on a dataset with noise is a challenge in spectral clustering. In order to deal with this challenge, a new Robust Single-Step Spectral Clustering with Intrinsic Subspace (RS3CIS) method is proposed in this paper. RS3CIS uses a local representation method that projects the original data into a low-dimensional subspace through a row-sparse transformation matrix and uses the `2,1-norm of the transformation matrix as a penalty term to achieve noise suppression. In addition, RS3CIS introduces Laplacian matrix rank constraint so that it can output an affinity graph with an explicit clustering structure, which makes the final clustering result to be obtained in a single-step of constructing an affinity matrix. One synthetic dataset and six real benchmark datasets are used to verify the performance of the proposed method by performing clustering and projection experiments. Experimental results show that RS3CIS outperforms the related methods with respect to clustering quality, robustness and dimension reduction.
Del metodo in sintassi, col pretesto di mano

This work examines four Italian constructions which on the surface appear to resemble each other. In all these constructions, the noun mano ‘hand’ apparently functions as a direct object. Conducted from a functional perspective, the research outlined in this paper demonstrates how such constructions differ greatly from each other. Such an analytic result is achieved by virtue of a simple definition of the different values for mano based on the well-known “rapports syntagmatiques et rapports associatifs”. Thus, from a methodological standpoint these pages demonstrate how a realistic and rational approach to syntax obviates the need for the panoply of notions and tools which are currently used by many theoretical frameworks. KEYWORDS: method, syntax, Italian, hand, constructions
ПРЕИМУЩЕСТВА ИСПОЛЬЗОВАНИЯ ИНТЕРАКТИВНОЙ ДОСКИ НА ЗАНЯТИЯХ ПО ВЫСШЕЙ МАТЕМАТИКЕ В ТЕХНИЧЕСКОМ ВУЗЕ

Today the discrepancy between the amount of knowledge that a learner should get according to the program and the time available for this encourages professors to look for productive ways of educational process organization that would help to avoid a decline in the quality of teaching as a whole and increase the degree of information perception in particular as well as contribute to students’ cognitive and creative activity development. Taking into account the global informatization of modern society, especially the fact that usage of information and computer technologies for modern people is not only a part of their everyday life but it also captures many spheres of life of the whole society including the sphere of education, it makes impossible imagining of effective academic activity methods without information technologies active introduction. In conditions of ubiquitous informatization of education the use of modern information technologies in the training process including the use of such a modern computer platform as an interactive board helps to achieve these goals. Application of this innovation device during higher mathematics lessons gives opportunity to improve the process of the subject studying, makes it more intensive, dynamic, informational and graphical and as a result it makes the lessons more efficient. This article describes and justifies the advantages of using of the didactic and technical capabilities of interactive board at the classes of higher mathematics in technical university in comparison with traditional academic discipline teaching.
Adversarial Machine Learning with Double Oracle

We aim to improve the general adversarial machine learning solution by introducing the double oracle idea from game theory, which is commonly used to solve a sequential zero-sum game, where the adversarial machine learning problem can be formulated as a zero-sum minimax problem between learner and attacker.