Reviewerly/exHarmony huggingface dataset:
Thresholding or Bayesian LMMSE/MAP Estimator, which one Works Better for Despeckling of True SAR Images?

In synthetic aperture radar (SAR) imaging system speckle is modeled as a multiplicative noise which limits the performance of SAR image processing systems.In the literature, several SAR image despeckling algorithms have been presented, among them two simple, yet effective, approaches are using thresholding and Bayesian estimation in transform domains.In this article, we try to provide proper answer to this question: which one of these two despeckling methods works better?To this aim, we first introduce a new thresholding function with two thresholds, and show that when thresholds are determined through optimization procedures, an improved denoising performance in terms of joint speckle removal and edge saving efficiencies can be achieved.However, still a Bayesian LMMSE/MAP estimator can provide greater speckle removal efficiency in test images with high speckle power, and some thresholding methods produce better edge saving efficiency.Hence, aiming at joint exploitation of the superior edge saving ability of thresholding estimator and greater speckle removal efficiency of Bayesian estimator, we next propose the idea of using a combined despecking algorithm.The new denoising methods are applied for despeckling of true SAR images in the nonsubsampled contourlet transform domain and the situations they achieve superior performance have been highlighted.
Statistical Deadband: A Novel Approach for Event-Based Data Reporting

Deadband algorithms are implemented inside industrial gateways to reduce the volume of data sent across different networks. By tuning the deadband sampling resolution by a preset interval Δ , it is possible to estimate the balance between the traffic rates of networks connected by industrial SCADA gateways. This work describes the design and implementation of two original deadband algorithms based on statistical concepts derived by John Bollinger in his financial technical analysis. The statistical algorithms proposed do not require the setup of a preset interval—this is required by non-statistical algorithms. All algorithms were evaluated and compared by computing the effectiveness and fidelity over a public collection of random pseudo-periodic signals. The overall performance measured in the simulations showed better results, in terms of effectiveness and fidelity, for the statistical algorithms, while the measured computing resources were not as efficient as for the non-statistical deadband algorithms.
SIMBIOSIS MUTUALISME PERPUSTAKAAN DENGAN MEDIA CETAK SEBAGAI UPAYA MEMBUDAYAKAN MEMBACA DAN MENULIS BAGI MASYARAKAT

&lt;p&gt;Library and print media as a medium for the dissemination of information and knowledge resource centers. Both the media must have the positive integration of mutual benefi t. It is a form of strengthening the various models of information disseminated directly and indirectly. Various models of literacy and knowledge appeared in the print media and it is presented in the library. Therefore, it is necessary to unify the vision synergistic effort between the library and print media so that it can occur symbiotic mutualism between the library and the print media in a variety of contexts of science and technology and the arts.&lt;/p&gt;&lt;p&gt;Key words: symbiotic mutualism, libraries, print media, reading, and writing.&lt;/p&gt;
Quantum Computing Concepts with Deutsch Jozsa Algorithm

In this paper, we briefly review the basic concepts of quantum computation,Â entanglement,Â quantum cryptography and quantum fourierÂ transform.Â Â Quantum algorithms like Deutsch Jozsa, Shorâ€™sÂ Â factorization and Groverâ€™s data search are developed using fourierÂ transformÂ and quantum computation concepts to build quantum computers.Â Researchers are finding a way to build quantum computer that works more efficiently than classical computer.Â Among theÂ standard well knownÂ algorithmsÂ in the field of quantum computationÂ and communication weÂ describeÂ mathematically Deutsch Jozsa algorithmÂ in detail forÂ 2Â and 3 qubits.Â Calculation of balanced and unbalanced states is shown in the mathematical description of the algorithm.
Basic Elements of Dynamics

This chapter discusses some of the basic elements of dynamics, including the Newton-Euler laws, units, description of motion in various coordinate systems, and vector-matrix notation that is used in the book. A short summary is also given of the objectives of this book as well as an outline of the topics covered.
Non-malleable encryption with proofs of plaintext knowledge and applications to voting

Non-malleable asymmetric encryption schemes which prove plaintext knowledge are sufficient for secrecy in some domains. For example, ballot secrecy in voting. In these domains, some applications derive encryption schemes by coupling malleable ciphertexts with proofs of plaintext knowledge, without evidence that the sufficient condition (for secrecy) is satisfied nor an independent security proof (of secrecy). Consequently, it is unknown whether these applications satisfy desirable secrecy properties. In this article, we propose a generic construction for such a coupling and show that our construction produces non-malleable encryption schemes which prove plaintext knowledge. Furthermore, we show how our results can be used to prove ballot secrecy of voting systems. Accordingly, we facilitate the development of applications satisfying their security objectives.
Authenticated Handshake for QUIC

This document explains a variant of QUIC protocol version 1 that usesthe ESNI Keys to authenticate the Initial packets thereby making theentire handshake tamper-proof.
Transmission network expansion planning using state-of-art nature inspired algorithms: a survey

Transmission network expansion planning (TNEP) problem has been continuously solved for many years still the cost effective, reliable, and optimise solution is always desirable. The TNEP has been solved by various conventional and non conventional strategies. The strategy to find the solution of TNEP by classical mathematical optimisation techniques is tedious, slow and inefficient. In recent years, nature inspired algorithms (NIAs) have proven their importance to provide the solutions of the TNEP problem over classical mathematical optimisation techniques. This paper presents a review on the key contributions of the state-of-art NIAs to solve the TNEP problem. Further, the TNEP system specific significant works presented in the literature are summarised for easy understanding of the readers. The readers can get a brief description of the considered NIAs algorithms which has been applied to solve various systems of TNEP problem and they can also identify the significant NIA which is being applied for specific TNEP system.
Rate Movie App: Implementation of K-Nearest Neighbors Algorithm in the Development of Decision Support System for Philippine Movie Rating and Classification

Movies that are publicly exhibited in the Philippine Cinema, regardless if produced locally (local films) and/or outside the country (foreign films) undergo a thorough evaluation before public exhibition to properly identify suited audiences. There are many factors that contribute to the classification and rating of a specific movie. Movies play a vital role for Filipino culture as for some people; these serve as their leisure activity, for other people, these are not just a leisure activity instead a form of visual art that may send important messages to the audiences and/or may re-enact human personal experiences. It is very important that movie(s) will be classified accordingly without any form of biases. This paper promotes a Decision Support System that can be used in predicting movie classification and rating using historically evaluated movies from 2010 to 2017. The study considers the user ratings on the following attributes: Sex &amp; Nudity, Violence &amp; Gore, Profanity, Alcohol, Drugs &amp; Smoking and Frightening and Intense Scenes scrapped from a public movie database. Along with these considerations are the genre(s) associated with a movie. The study conducted revealed that K-Nearest Neighbors Algorithm outperforms Naive Bayes and J48/C4.5 Algorithm in classifying Philippine Movie rating with 92.80% accuracy as compared to 68.70% and 56.79% for Naive Bayes and J48/C4.5 algorithm respectively. The developed decision support system implements the K-Nearest Neighbors algorithm to satisfy the objectives mentioned. With this, Review Committees who evaluate movies may have guides in making critical decisions in the domain of movie evaluation.
Research on Data Center Topological Structure Analysis Technology Based on Graph Database

The data center is the main object of operation and maintenance management. The accurate grasp of all the life cycle of all hardware and software resources and the accurate analysis of the relationship between the operation and maintenance data are the cornerstones of the data center IT architecture operation and maintenance, and also the key to the continuity of the data center to guarantee business continuity. The multi-layer topology self discovery mechanism for business characteristics is established according to the library. Through identification, control and maintenance, it can accurately manage the IT resources of power grid enterprises, realize the changing IT infrastructure of efficient control and management, meet the IT service, and respond quickly, efficiently, accurately and flexibly to the needs of the development of the Power Grid Corp business.
Performance Improvement in a Classification Method by using Statistical Pre-processing

One of the most significant current discussion in AI(Artificial Intelligence) and HCI (Human Computer Interface) is the pattern recognition algorithm. Many methods are available for this purpose, such as, the support vector machine artificial neural network, and Bayesian decision rule. In these methods, the number of features is the most critical factor affecting the classifier performance. Therefore, we herein propose feature selection and extraction methods to obtain a more effective classifier (higher accuracy and less complexity). To do this, we apply a statistical algorithm. Before we use pattern recognition algorithms, we select features using variance and correlation coefficient. Additionally, we extract the features using the dimension reduction method. We could filter out critical features and reduce the number of features using above. For an objective evaluation, we use electroencephalogram and the survey data of the DEAP(dataset for emotion analysis using physiological signals). Additionally, we perform a comparison with the existing study. According to the performance evaluation, a classifier with higher accuracy and less computational complexity is obtained.
The Fundamental Questions of Cyber Evidence Are Discussed

As a new type of evidence, network evidence has improved China's litigation evidence system and made up for the deficiency of traditional evidence. However, in civil litigation, the court is not very active in the adoption of online evidence. The reason may be that there is great uncertainty in the collection, preservation, review and judgment of online evidence. Therefore, in the minds of litigants, the reliability of online evidence is far less than that of traditional evidence. This paper proposes relevant solutions through the current situation and deficiency in the practice of network evidence legislation and judicature.
IN SITU: Sonic Greenhouse. Composing for the intersections between the sonic and the built

This exposition presents and discusses a large-scale audio-architectural installation entitled "IN SITU: Sonic Greenhouse," which took place at the Helsinki City Winter Garden — or Talvipuutarha — in September and October 2016. Structure-borne audio transducers were employed to drive sound into the glass structure of the greenhouse in order to create an immersive sound experience emanating from the materiality of the building, transforming the site into a macro-scale musical instrument. Compositional strategies were developed in response to the context, emphasising the spatial dimension of composition more than the temporal and narrative ones, exploring an aural metaphor of transparency, as well as pointing towards the concepts of "sonic weather" and "sonic acupuncture." This exposition offers a reflective look at the work one year after its completion, fusing visual, audio, and textual elements to understand the piece’s aesthetic, theoretical, and experiential contributions.
Determinants of Foreign Direct Investment in Ethiopia: Systematic Review

The determinants of FDI include any host country’s situations that affects the inflow of FDI, like market size, the economic growth rate, real growth domestic product, infrastructure, natural resource, the political situation etc. In recent years, Ethiopia has started encouraging the inflow of FDI by improving the investment climate and by providing different incentive packages. The focus of this review is to identify the major determinants of foreign direct investment (FDI) in Ethiopia. The results show that the variables like real growth domestic product, liberalization, exchange rate devaluation and trade openness are significant and have positive correlation with the inflow of FDI in Ethiopia. On the other hand, variables like inflation, poor infrastructure; volatile and high lending interest rate has significant and negative association with the inflow of foreign direct investment. Finally, the study recommend possible intervention of the government through infrastructure development and formulation sound fiscal and monetary policies to control the negative impact of inflation, interest rate and other macro variables. Keywords: FDI, RGDP, Inflation, liberalization, interest rate, Ethiopia. DOI : 10.7176/DCS/9-1-04
New Functions and Evaluation for Learning Effects of Acceleration Experiment Support Software

In Japan, junior high and high school students typically learn the concept of velocity by experiments with a timer and recording tape. To promote more intuitive understanding and provide a flexible lesson length, we developed the AES (Accelerated Motion Experiments Support) software and experimental system. To verify the effectiveness of the experimental system, we observed students conducting experiments of descending motion on a slope using the system. This paper reports newly implemented functions for displaying mechanical (kinetic and potential) energy and improving operability. We show example applications using these functions: accelerated motion on a horizontal rail. In the experiments, it is clear that the measuring values measured using AES have accuracy that is the same as or better than the values measured using a traditional recording timer. We conducted a comprehension test for the theory relating to the experiments before and after the experiments. From the results, we discuss educational effects about the experiment system using AES and the experimental procedure. Learning comprehension tests find that the correct answer rate of almost questions is improved after the experiments. However, the correct answer rate does not increase in the question about the change in acceleration values. The displayed values are lower than actual sensor values because of filtering process which makes reduce the influence of errors due to the sensitivity. This may cause students to make the wrong choice. Questionnaire results indicate that the system is easy to operate and promote active participation in the experiments.
A Tracking Algorithm with Weighted Least-squares and Cubature Kalman Filter

Aiming at the problem of passive target tracking, this paper presents a cubature Kalman filter algorithm with weighted least-squares (WLS_CKF) based on time difference of arrival and frequency difference of arrival. The algorithm firstly obtains the initial state of the target through two steps of weighted least-squares, then uses the cubature Kalman filter to complete the nonlinear tracking process. Tracking efficiency and precision are improved by fusing the information of multiple observation stations, multiple measurements and multiple observation time. The simulation results show that, compared with WLS and CKF algorithm, WLS_CKF algorithm can improve the tracking performance significantly.
Search Strategies and the Relevance of Retrieved Information in Persian Articles Database: Survey of M.A Students of Shiraz University

Retrieving relevant information on the Internet and identifying the related information to the real needs are not an easy task for many users. So the main objective of this study was to evaluate the effect of search strategies on the relevance of retrieved information in domestic article databases. Considering the nature of the subject, this was an applied descriptive-survey research. Statistical population consists of all domestic article databases, from which the MAGIRAN, IRANDOC, NOORMAGZ and the Regional Information Center for Science and Technology (RICeST) were selected as samples. To test the hypotheses, one-way analysis of variance (ANOVA) and Tukey’s post-hoc test were computed using SPSS statistical software version 22. The study’s findings showed that there were significant differences between relevance of the information retrieved from different databases based on different search strategies. It was found that, using simple search had the highest relevance. Moreover, using the AND, NOT and OR operators, took the lower ranks respectively. Using the time limiter had the lowest relevance in information retrieval. There were also significant differences between the relevance of information retrieved from different databases, and the NOORMAGZ database, the RICeST, MAGIRAN and IRANDOC; respectively had the most relevant retrievals. Using different search strategies can affect the relevance of the information retrieved from an article database. Therefore, acquiring these strategies and using each one in the right situation can improve the relevance of the retrieved information.
Income Inequality Effects of Globalization in Oil-Rich Nigeria: Evidence from Time Series

Incidences of rising income inequality in Nigeria have raised questions on its link with globalization. Using quarterly time-series data on an empirical model which is hinged on Stolper-Samuelson theorem, the Johnson cointegration test and error correction model showed that globalization, technology and foreign direct investment significantly heightened income inequality while that of productivity significantly diminished income inequality in Nigeria in the long run. This study recommends support for domestic entrepreneurship through import substitution and export promotion strategies so that Nigeria to enjoy gains from globalization. Furthermore, increased access to public service such as health care and high quality education among the poor and vulnerable is desirable for sustained increase in labour productivity.
The Effect of using Jumble Letters in Teaching Vocabulary in Grade Eight Students of SMP Negeri 7 Pematangsiantar

This thesis is the effect of using jumble letters in teaching vocabulary in grade eight students of SMP Negeri 7 Pematangsiantar.In this thesis, the problem of the study justifies as "Does the use of Jumble Letters affect the students' vocabulary achievement in grade eight students of SMP Negeri 7 Pematangsiantar?"Toanswer the problem, the writer follows some theories namely: Yule (2010: 117), Agoestyowaty (2007:38), Carten (2007:21), Nunan ( 2005:121), Bruner (1983: 112).This thesis is quantitative descriptive study design, because it is to find the effect of using jumble letters in teaching vocabulary.The subject of this study is the grade VIII students of SMP Negeri 7 Pematangsiantar.VIII10 which consists 20 students as control group and VIII8 which consists 20 students as experimental group.Total number of sample are 40 students.The objective of this study is to know the effect of using Jumble Letters on the students' vocabulary achievement in grade eight students of SMP Negeri 7 Pematangsiantar.In analyzing, the data shows that the students' vocabulary in grade VIII8 increases significantly.It shows by the improvement of the students' score from the pretest to posttest.In pretest of experimental group, it shows that the mean (M) in pretest is 65,the median is 62.5, the highest score is 75, and the lowest score is 60.While in posttest of experimental group, it shows that the mean (M) in posttest is 80.25, the median is 80, the highest score is 90, and the lowest score is 70.Based on the calculation of ttest, it was found out that tobserved is (8.46) and it is higher than ttable (1.66) at the level of significance (0.05).It means that there is a significant effect of using jumble letters in teaching vocabulary in grade eight students of SMP Negeri 7 Pematangsiantar.Since the result of tobserved is higher than ttable (8.46 > 1.66), the null hypothesis (Ho) is rejected and the alternative hypothesis (Ha) is accepted.It means that there is a significant effect of using jumble letters in teaching vocabulary in grade eight students of SMP Negeri 7 Pematangsiantar.Finally, the writer hopes that the research will help the students' to increase their vocabulary.And the teachers are suggested to apply jumble letters as one of technique to increase the students' vocabulary achievement.
Performance Technology And Project Method In The System Of Art Education

The article explores the “performative-project” shift of contemporary artistic culture, which had originated in the avant-garde art of the 20th century and continues to dominate the culture of the first decades of the new century. While influencing all cultural subsystems, it finds a particularly vivid expression in the actual art. All types of art have shifted towards action, an event that is happening “here and now” and involving the viewers in a game. This is particularly relevant to the theatrical art, originally born from the Dionysian Mysteries that can be interpreted as the first form of performance. Contemporary theatre is born out of artistic and creative techniques that destroy the “wall” between the stage and the audience and envision a new type of spectator.The transformation of the language of theatre and the means of communication with the audience inevitably require changes in theatrical education, which forms an essential subsystem of the artistic culture. The paper analyses the principles and tools for reinvention of art education, where performative-project practices are becoming highly relevant tools for information learning and the development of creative skill sets required by future actors, directors and art managers. Performative-project techniques are indispensable not only in developing artistic and creative skills of future theatre professionals, but also for students studying theoretical subjects in humanities, cultural theory and art history. The article describes the author’s experience in utilizing performative practices and the project method in Yekaterinburg State Theatre Institute.
Research on Cloud Hard Disk Capacity Prediction Scheme Based on Time Series Model

OpenStack is a cloud operating system, but it does not provide the predictive functionality for cloud disk usage of the virtual machines running on it.In this paper, it propose a prediction schem of virtual machine cloud hard disk capacity.First the Libvirt API is used to obtain the disk data of the virtual machine.After data processing, the ARIMA time series model is built.Then the capacity of the disk in the future is predicted.This scheme can predict the disk capacity of virtual machine, facilitate the user to expand capacity or issue an alarm, and then reduce disk failure.