Reviewerly/exHarmony huggingface dataset:
Residue-to-Binary converters for the seven moduli set {2<sup>n-</sup><sup>5</sup>-1, 2<sup>n-</sup><sup>3</sup>-1, 2<sup>n-</sup><sup>2</sup>+1, 2<sup>n-</sup><sup>1</sup>-1, 2<sup>n-</sup><sup>1</sup>+1, 2n, 2<sup>n</sup>+1} for n even

In this paper, a Residue-to-Binary converter for the seven moduli set {2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n-</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">5</sup> -1, 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n-</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">3</sup> -1, 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n-</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> +1, 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n-</sup> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sup> -1, 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n-1</sup> +1, 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> , 2 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">n</sup> +1} for n even is presented. This moduli set is derived from a previously described 8 moduli set which has two moduli with one common factor, by deleting one of these moduli. The converter consider two subsets of the moduli and derive the corresponding binary number in those sets and then combine the results in a second level using Mixed Radix Conversion. The proposed converter is compared with the converter for the original 8 moduli set regarding hardware requirement and conversion time for realizing same Dynamic range.
UAV Path Planning for Civil Applications

We will present a simple and efficient algorithm for solving the path planning problem for civil UAV operating in a dynamic or incomplete environment.This algorithm searches for a continuous waypoints sequence starting from the initial configuration, visiting all the desired locations and reaching the final position.We will present our proposed algorithm on two steps: The first produces a sorted location set.The second step generates an optimal path for the overall mission.The same algorithm constructs the initial path or re-plans a new one when changes occur to the configuration space.To prove the effectiveness of our proposed algorithm, we will provide computer simulations.A comparison of many results will show that this algorithm yields good experience performance over a wide variety of examples.
A Feasible Proposal for Small Capacity Solar Power Generation at Phu Quoc, Viet Nam

Solid The objective of this paper is to investigate the feasibility of solar power generation using a roof PV and grid connection in Phu Quoc by using a top-down approach combined with Vietnam's Government policies to prove economic and technical feasibility. To do that, the author is based on the data on the development planning of Phu Quoc in the period 2020-2030, the database of Vietnam and the applications of the new technology of the world. The numerical research results show that the potential of solar power generation corresponds to the low, medium and high level of PV development scenarios of 229,174 GWh/year, 347,716 GWh/year and 585,719 GWh/year respectively. However, the PV generation project in Phu Quoc can reduce CO2 emissions corresponding to the three PV development scenarios are respectively 107,826 ton/year, 163,600 ton/year and 275,581 ton/year. In addition, this result can approve that the solar energy system in Phu Quoc is a highly feasible application in practice aiming to contribute to energy security and environmental protection.
Decision Making under Uncertainty with Convolutional Deep Gaussian Processes

Deep learning models such as convolutional neural networks have brought advances in computer vision and were found to surpass human accuracy in computer vision problems. This has resulted in their use in many safety critical applications such as autonomous driving and healthcare, where decision making under uncertainty is crucial. However, deep learning models are vulnerable to out of sample and adversarial examples and they can be very risky to use in safety critical applications. Deep Gaussian process provide a Bayesian non-parametric approach to deep learning and are capable of modelling the uncertainty in data and model. In this paper, we show the uncertainty quantification capabilities of Convolutional deep Gaussian processes for computer vision problems. We show that convolutional deep Gaussian processes provide better uncertainty estimates for various settings such as out-of-distribution samples, adversarial attacks and uncertainty calibration experiments. They are found to be more robust than convolutional neural networks, Bayesian convolutional neural networks and deep Gaussian processes for image classification.
Value Sets of Sparse Polynomials

We obtain a new lower bound on the size of value set f(F_p) of a sparse polynomial f in F_p[X] over a finite field of p elements when p is prime. This bound is uniform with respect of the degree and depends on some natural arithmetic properties of the degrees of the monomial terms of f and the number of these terms. Our result is stronger than those which canted be extracted from the bounds on multiplicities of individual values in f(F_p).
A blockchain-based loan over-prevention mechanism

Information sharing solves the problem of information asymmetry between banks to a certain extent, but it also brings about the leakage of customer privacy. Therefore, how to protect data privacy while sharing data is an urgent issue. Blockchain protects the privacy of accounts and data while sharing data. Therefore, we propose a blockchain-based loan over-prevention mechanism. The program can hide the customer loan/repayment amount and thus protect the customer's privacy; we prove that the customer's loan amount is within a certain range and does not exceed the remaining loanable amount via a range proof. In order to share customer loan information between banks, we store the commitment of customers' amounts in the blockchain, and banks can obtain relevant information directly from the chain, which also reduces the amount of communication between banks. Finally, we implement the model and performe a performance analysis.
The standardization of bibliographical terminology: development and present situation

This article is devoted to the standardization of bibliographic terminology. All Soviet and Russian standards , containing the terms in the field of bibliography are considered. The characteristic of the structural and content changes are given. The results of the studying existing domestic SIBID standards, including bibliographic terms are presented. The analysis of their content is carried out, approaches to systematization and terms definition are studied. The development of standardized bibliographic terms were traced through the normative documents. It is concluded that a number of terms are present in the two standards and have different definitions. At the same time, they have not been abolished, that leads to conflicting interpretations in various fields of activity. The lack of bibliographic terms that take into account the features of modern information and communication technologies is indicated. The content of these existing standards is illustrated by specific examples, that today certainly need to be updated. As a result, it was found that the basic standards reflecting the bibliographic terminology are largely outdated and do not correspond to the conceptual apparatus of modern library and information science and practice. The need to develop a national standard «Library and information activities. Terms and definitions» in which is proposed to include only general concepts relevant to the field of bibliography, becomes evident. At the same time, a specialized national standard “Bibliographing. Bibliographic resources. Terms and definitions», that should accumulate all the terms that reflect the processes of creating bibliographic information (bibliography, a special case of which is cataloguing) and diverse forms and types of its existence (bibliographic record, bibliographic reference, bibliographic resource), is being developed. The key term is “bibliographic resource” – the term, which has never been presented in the SIBID terminology standards before. An attention to the controversial issues of terminology is paid. The structure of the standard under development is proposed.
Integrated landslide disaster education in physics subject viewed from high school students preparedness in Kulon Progo, Yogyakarta

Abstract This research aims to find out the role of integrated landslide disaster education in physics subject viewed from high school students preparedness in Kulon Progo, Yogyakarta. Method in this research is done with three steps which are survey with google form to pre-service physics teacher, observation with questionnaire about disaster preparedness to students and interviews with physics teacher. Analysis technique used to obtain data is descriptive analysis method. Results on integrated landslide disaster education in physics subject viewed from high school students preparedness in Kulon Progo, Yogyakarta is very crucial to be implemented in learning and teaching activities using integrated learning model to raise disaster preparedness and students’ science knowledge. Students are still lacking preparedness knowledge because there is no simultaneous campaigns about landslide disaster preparedness in schools on disaster prone areas in Kulon Progo.. Beside that, incorporating preparedness subject in school curriculum is a way to countermeasure disaster in the education sector considering Kulon Progo is one of the areas prone to landslide in Yogyakarta.
Power Shepherd: Application Performance Aware Power Shifting

Constantly growing power consumption of data centers is a major concern from environmental and economical reasons. Current approaches to reduce negative consequences of high power consumption focus on limiting the peak power consumption. During high workload periods, power consumption of highly utilized servers is throttled to stay within the power budget. However, the peak power reduction affects performance of hosted applications and thus leads to Quality of Service violations. In this paper, we introduce Power Shepherd, a hierarchical system for application performance aware power shifting. Power Shepherd reduces the data center operational costs by redistributing the available power among applications hosted in the cluster. This is achieved by, assigning server power budgets by the cluster controller, enforcing these power budgets using Running Average Power Limit (RAPL), and prioritizing applications within each server by adjusting the CPU scheduling configuration. We implement a prototype of the proposed solution and evaluate it in a real testbed equipped with power meters and using representative cloud applications. Our experiments show that Power Shepherd has potential to manage a cluster consisting of thousands of servers and limit the increase of operational costs by a significant amount when the cluster power budget is limited and the system is overutilized. Finally, we identify some outstanding challenges regarding model sensitivity and the fact that this approach in its current from is not beneficial to be used in all situations, e.g., when the system is underutilized.
IMAGE RESTORATION USING NON-BLIND DECONVOLUTION APPROACH – A COMPARISION

ABTRACTThe Image restoration is the process of recovery of an image that has been corrupted by some degradation phenomenon.Degradation occurs due to motion blur, gaussian blur, noise and camera mismatch.In this paper an attempt has been made to recover image from the corrupted image using Particle Swarm Optimization (PSO) algorithm in the presence of gaussian blur.For this purpose, a heuristic particle swarm optimization technique has been developed to optimize the parameters of the Point Spread Function (PSF).Higher resolution, better quality image is obtained by deblurring the noisy/ blurred image using this method.The algorithm performance is compared with Lucy Richardson algorithm.Experimental results indicated that the PSO regularized technique will improve the image quality significantly.Better results in terms of PSNR, SNR and image quality index are achieved.
Sources of Market Power among Firms in Sub-Saharan Africa: Do Institutions Matter in Competitive Policies?

In the context of a high prevalence of both poverty among households and business failures among firms in the majority of Sub-Saharan African (SSA) countries, competition is seen as one of the viable tools for transforming and improving these economies. This can be achieved by boosting productivity, improving output markets, increasing innovation and promoting economic growth. This study examines the sources of market power among firms within a variety of institutional settings using a large sample of data from 23 SSA countries. Tobit panel models comprising both fixed and random effects are used to estimate the determinants of market power. The study reveals that a large number of firms control less than 5 percent of the market with a few firms controlling between 5 and 34 percent of the market. At the same time, there are a small number of firms controlling between 30 and 100 percent of the markets in Sub-Saharan Africa. The findings further show that economic and political institutions significantly matter in the determination of power among firms in SSA. However, the influence of institutions varies significantly depending on the type of institutions and regional differences.
An Investigation of Prototyping Technique in Pakistani Software Industry

Requirements elicitation is one of the important and major activities within the Requirements Engineering phase. There are different techniques used for requirement elicitation process. Selection of any requirements elicitation technique depends on complexity, size, time and other resources of proposed software project. Selection of suitable technique for requirements elicitation is not a trivial process and if it is done properly then it can reduce time, budget, and risk constraints of system being developed. Sometimes researchers have found a gap between theory and practice that is gap between literature and industry practices. Therefore, goal of this paper is to find out the gap between literature and industry practice about requirements elicitation practices in PSI (Pakistani Software Industry). This paper shows the usage and impact of prototyping technique of requirements elicitation on product quality in Pakistani software companies. 29 Software companies following prototyping technique practice were surveyed using questionnaire, to investigate about usage of prototyping technique of requirements elicitation in industry, and impact of prototyping technique of requirements elicitation on product quality in term of schedule, cost and the customer Satisfaction. The appropriate practice of prototyping technique of requirements elicitation can reduce the project failure rate in PSI.
Virtual Reality: A Tool for Improving the Teaching and Learning of Technology Education

This work dealt with technology education, its expectations and present state, especially in developing countries. It looked at virtual reality: its development, types, uses and how it can be applied to improve teaching and learning. It also looked at different works that compared virtual reality, and other educational technology tools were reviewed. Advantages of virtual reality were highlighted; these will include both social and academic issues. Immersive and non-immersive virtual reality for education were briefly discussed, looking at the applicability of each to teaching and learning, ease of use, cost-effectiveness and health implications.
A Federated Learning Framework for Privacy-preserving and Parallel Training.

The deployment of such deep learning in practice has been hurdled by two issues: the computational cost of model training and the privacy issue of training data such as medical or healthcare records. The large size of both learning models and datasets incurs a massive computational cost, requiring efficient approaches to speed up the training phase. While parallel and distributed learning can address the issue of computational overhead, preserving the privacy of training data and intermediate results (e.g., gradients) remains a hard problem. Enabling parallel training of deep learning models on distributed datasets while preserving data privacy is even more complex and challenging. In this paper, we develop and implement FEDF, a distributed deep learning framework for privacy-preserving and parallel training. The framework allows a model to be learned on multiple geographically-distributed training datasets (which may belong to different owners) while do not reveal any information of each dataset as well as the intermediate results. We formally prove the convergence of the learning model when training with the developed framework and its privacy-preserving property. We carry out extensive experiments to evaluate the performance of the framework in terms of speedup ratio, the approximation to the upper-bound performance (when training centrally) and communication overhead between the master and training workers. The results show that the developed framework achieves a speedup of up to 4.8x compared to the centralized training approach and maintaining the performance approximation of the models within 4.5% of the centrally-trained models. The proposed framework also significantly reduces the amount of data exchanged between the master and training workers by up to 34% compared to existing work.
TRANSFORMATION OF THE TERRITORIAL EDUCATIONAL SPACE AS A FACTOR OF PERFECTING THE SCIENTIFIC LIBRARY ACTIVITY

On the example of SPSTL SB RAS, the authors illustrate how transformation of educational value basis affects ideology and technology of library activity, demanding modernization of its contents in the sphere of actual educational environmental construction.
INFORMATION SUPPORT FOR SCIENTISTS OF SCIENTIFIC CENTERS OF AGRICULTURAL PROFILE OF SIBERIA (1971–2019)

The system of information support of agrarian science of Siberia, created by the Siberian scientific agricultural library, based on its information resources and intercommunications with agricultural libraries of the region, is analyzed. The results of the study of organizational and structural transformations in the management and information support for scientists in the modern period and the analysis of the status of libraries of research institutes are presented. The role of SibSAL as an interlink in maintenance of the united information space of agrarian science of Siberia is shown.
Mathematical Models for Physical Interactions of Robots in Planar Environments

This paper reports on the development of a collision capable omni-driven platform called Omnipuck with an accompanying reflection model capturing uncertainty present after collision events. Path planning and navigation strategies focus almost entirely on avoiding collisions, but this platform was designed to specifically benefit by colliding with obstacles in the environment. Collisions are modeled as partially reflected diffusions characterizing boundary interaction behaviors including uncertainty with experimentally validated parameters. Experiments highlighting convergence time demonstrate the potential benefits of using boundaries to partially recover impact energy in planning. The results herein lay the foundation for path planning and navigation strategies that exploit collisions.
Information and analytical support: Current goals and pathways

User information support is among the functions of academic libraries. The authors attempt to reveal the potential of this activity vector. They characterize in brief the academic libraries’ performance in the external environment, reveal the changes in digital environment and social demands due to advancing IT: using Open Access, Semantic Web, Big Data and Data Analytics technologies in handling science data, the most recent phenomenon of Data Science, etc. The authors argue that the origins of further transformations will be the migration of communications, including scientific ones, toward the cyberspace, preferential generation and use of e-documents, supercomputer technologies, cloud computing, end-to-end technologies, multimodal interaction, science IT-services, etc. These transformations have been changing primarily the academic library users – who are high-end professionals with increasingly complex and unique information needs which the libraries are supposed to satisfy. This purpose can be fulfilled through prompt knowledge update, processing enormous flows of fast-aging information, delivery of resulting knowledge, comparative analytical data, range of solutions, etc. The current trends in the information support in academic libraries are discussed based on the information tail content analysis and observations: support of grant management, support of expert examination of academic papers, generation of analytical bibliographies, and organization of scientific communications, researchers, papers and ideas promotion in the global information space. In the professional literature, the information needs to determine the user services vectors for scientific libraries and their bibliographers are revealed, namely, IT-services support, virtual learning laboratory, e-science, knowledge and learning commons, library involvement in scientific data curation, expert analysis of generated information and preliminary quality appraisal, recommending publications and publishers to researchers, related administration and mediation, visual analytics, etc. The primary role of bibliographers in the libraries of the future is emphasized.
Indonesia Words Detection Using Fingerprint Winnowing Algorithm

The action of plagiarism is bad deeds that violate the code of ethics in the world of writing that often occur in the academic environment, the lack of interest in reading and creativity of the nation is one of the factors that cause obstruction of the progress of a nation. Besides the plagiarism action bad for good name at a college which is caused by the plagiarist. This needs to be minimized or prevented so that the problem does not happen again. the use of fingerprint in winnowing algorithm can solve the problem. winnowing algorithm is an algorithm used to match a word for word with hashing method, the use of n-gram and w-gram is very influential on result of similarity.
Visual Completion Of 3D Object Shapes From A Single View For Robotic Tasks

The goal of this paper is to predict 3D object shape to improve the visual perception of robots in grasping and manipulation tasks. The planning of image-based robotic manipulation tasks depends on the recognition of the object's shape. Mostly, the manipulator robots usually use a camera with configuration eye-in-hand. This fact limits the calculation of the grip on the visible part of the object. In this paper, we present a 3D Deep Convolutional Neural Network to predict the hidden parts of objects from a single-view and to accomplish recovering the complete shape of them. We have tested our proposal with both previously seen objects and novel objects from a well-known dataset.