Reviewerly/exHarmony huggingface dataset:
Energy Consumption Model for Virtual Machines in Cloud Data Centre

Cloud computing is a growing demand that allows a business to drive their goals using good Information Technology (IT).The tremendous increased in computing resources usage introduce several challenges to IT service providers.One of the key issues is the high energy consumption of the data centres.Virtualization has been used as a technique to reduce hardware footprint and thus realizing power efficiency in the data centre.However, improper placement technique has caused many virtual machines being provisioned inefficiently.Consequently, the physical servers installed as hosts are utilizing high power in data centre while the provisioned virtual machines are underutilized.This problem defeats the very reason why cloud computing was first introduced.This study focuses on identifying a relationship between virtual Central Processing Unit (CPU) of cloud servers, physical CPU, and total power consumption of its hypervisor.We developed a model to estimate power requirements for virtual machines (VM) in a cloud data centre and introduce an algorithm to place the virtual machines within the virtual data centre automatically.The model is applied to steady-state cloud data centres or in systems engineering design phase.The model can also be extended in determining a cloud server's chargeback model based on an individual could server proportional power consumption.
Correction: Solving the stereo correspondence problem with false matches

[This corrects the article DOI: 10.1371/journal.pone.0219052.].
EXPERIENCE OF METHODOLOGICAL SUPPORT OF ENTREPRENEURIAL CULTURE FORMATION OF BACHELORS OF PHYSICAL CULTURE AND SPORT

The article proposes a model of methodological support for the formation of entrepreneurial culture of bachelors of physical culture and sports, which represents activities aimed at choosing individual educational trajectory for students; support provided by scientific-pedagogical and methodical workers to facilitate students’ mastering of various variants of education content; control over the educational process, as well as feedback from students during and after the completion of the educational and professional program. This support should include purely organizational activities, informing students about the use of teaching tools, assistance in solving cognitive problems, as well as assistance in contacting stakeholders. At the same time, the individualization of educational algorithms, variability of time and methods of performing educational tasks, a wide choice of places to perform educational tasks, methods of communication with a lecturer, etc. come first. The future bachelor of physical culture and sports fulfills the individual curriculum due to the willingness of research and teaching staff to perform the social and pedagogical roles of a supervisor, an advisor, and a tutor, which may vary depending on the educational task. The key measures to support students’ choice of individual educational trajectories, in terms of the formation of entrepreneurial culture, are the following: ensuring the free choice of forms and methods of teaching; advising future bachelors of physical culture and sports on the free choice of forms and methods of teaching; presentation of disciplines of the sample cycle. A positive aspect of the educational professional program developed during the study, which is aimed at forming an entrepreneurial culture, is the competition between disciplines and teachers.
Analysis of Health Care Services using Meta Search Engine and Web Mining

Many existing page ranking algorithms are used in web mining to display the result in search engine result page. But this existing algorithms are either best on the in links and out links of the page or content of the page. Current scenario in India is that people don't know the actual service cost of any hospital. About 50 to 60 percent people in India are poor and middle class. They cannot afford the service charges provided by the hospital. The service charges of every hospital varies. People face difficulties in searching the hospital which provides quality services in minimum price. Most of the people pay unnecessary charges to those hospitals rather than other hospitals which provides same services in lower price. Proposed system gives solution to all the above problems. The system compares multiple hospitals based . On the area, services, cost, ratings or reviews. According to the people's requirements it provides list of hospitals in filtered format. Based on the results people can decide which hospital provides the same services in minimum cost. Our proposed system works on the basis of Meta Search Engine, web mining algorithms like content based , usage based and structured based algorithm as well so as to find results in minimal optimal time .
Clustering for Data-driven Unraveling Artificial Neural Networks

This work presents an investigation on how to define Neural Networks (NN) architectures adopting a data-driven approach using clustering to create sub-labels to facilitate the learning process and to discover the number of neurons needed to compose the layers. We also increase the depth of the model aiming to represent the samples better, the more in-depth it flows into the model. We hypothesize that the clustering process identifies sub-regions in the feature space in which the samples belonging to the same cluster have strong similarities. We used seven benchmark datasets to validate our hypothesis using 10-fold cross validation 3 times. The proposed model increased the performance, while never decreased it, with statistical significance considering the p-value $&lt; 0.05$ in comparison with a Multi-Layer Perceptron with a single hidden layer with approximately the same number of parameters of the architectures found by our approach.
Africa – EU New Financing

Africa Research Bulletin: Economic, Financial and Technical SeriesVolume 55, Issue 12 p. 22386B-22386B Policy and Practice Africa – EU New Financing First published: 01 February 2019 https://doi.org/10.1111/j.1467-6346.2019.08684.xRead the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat No abstract is available for this article. Volume55, Issue12February 2019Pages 22386B-22386B RelatedInformation
Evaluasi Kariadi Information System pada Petugas Koding Rawat Jalan di RSUP dr. Kariadi Semarang

Based on a preliminary survey that I had done during the Field Work Practice at RSUP Dr. Kariadi Semarang.The output that was there produced the KIS system on the RME menu that was not yet in accordance with thewishes of the outpatient coding officer. In the KIS system, the SIMRS menu entry grouping encoding externalcauses or external causes only have 3 digits of 4 characters. The use of the KIS menu RME systemsometimes occurs errors that are not equipped with guidelines or guidelines if an error occurs. This studyaims to evaluate KIS (Kariadi Information System) users in outpatient coding officers. Use the methoddiscussed, namely the EUCS method to measure the level of satisfaction from using a system. The resultsthat have been obtained from this research in terms of the content (content) of the information obtained isquite helpful for coding officers. The lack of entry grouping coding on the external cause, if complete willbenefit the patient. In terms of accuracy (accuracy) still requires an accuracy process, for example, if the inputerror registers, the data that appears will be different and occasional errors also occur. In terms of format(display) the interface is quite attractive based on user needs. In terms of timeliness, the system is able toprovide up to date information. In terms of ease of use (ease of use) the system is easy to learn only the lackof guidance if there has been an error. This research resulted in several recommendations that IT staff officerscan receive input related to the constraints of the use of the coder officer system, the head of the medicalrecord conducts further evaluation and supervision of the use of the system.
The Use Of Teaching Media In Expression Orale (Speaking) Class At French Education Study Program

The purpose of this study is to find and describe the use of teaching media and find out its role in improving students’ learning outcomes at French Language Education Study Program of Manado State University. This research uses classroom action research methods. The results show that the use of teaching media effectively improved student learning outcomes by increasing stundents’ mastery of learning subject by 20% and increasing student learning outcomes by 11.34%. The use of teaching media makes the teaching and learning process more interesting and arouses student interest and motivation.
Security and Authentication through Text Encryption and Decryption based on Substitution Method

In order to maintain security, privacy and integrity of important information or data is a great challenge in today’s world. Cryptography is a technique to prevent important data from hackers and intruder by converting important information in encrypted text by using an encryption algorithm. This paper is a review of various symmetric and asymmetric cryptography techniques. In this paper some gaps have been identified after reviewing some algorithms like they don’t work for case sensitive data but merely works for uppercase alphabets, they don’t encrypt numerically, spaces and they don’t run on the special symbol. In our proposed solution an effort to expand the original 5X5 character set of the Play Fair algorithm will be done so as to include lower case alphabets(a-z), some symbols, numeric(0-9) and a special character ‘\0’ for space. So, a new algorithm will encrypt lowercase, numeric, symbols as well as spaces.
SMART EDUCATION IN THE GLOBAL WORLD

The author considers smart education and its basic principles in the global world.The author shows that smart education is a learning process in which technology innovations and Internet resources are used in the global world.After all, it gives students the opportunity to gain professional competence on the basis of a systematic multivariate vision and study of disciplines, taking into account their multidimensional and continuous updating of content.The author also notes that education which based on three educational activities, namely, arithmetic, reading, writing, transforms into education, which improves the following seven skills as creativity and innovation; communication; cross-cultural understanding; collaboration and leadership; critical thinking and problem solving; ICT literacy; career and life skills.
THE ANALYSIS OF 4th GRADE STUDENT TEXTBOOK BASED ON THE 2013 CURRICULUM ON THE THEME OF PAHLAWANKU WITH THE SUBTHEME OF PERJUANGAN PARA PAHLAWAN (LESSON SIX)

The purpose of this research is to determine suitability of stundent book of fourth grade student based on Curricullum 2013 on theme “Pahlawanku” subtheme “Perjuangan Para Pahlawan” on lesson six with core competencies, learning objectives, indicator, learning activity, materials, tools and learning resources. This section is the sixth fragmen of eighteen analyze of learning activities plan in student book grade fourth based Curicullum 2013. Research method is descriptive qualitative method by analyzing documents are student book of fourth grade student based on Curricullum 2013 on theme “Pahlawanku” subtheme “Perjuangan Para Pahlawan” on lesson six and teacher book of fourth grade student based on Curricullum 2013 on theme “Pahlawanku” subtheme “Perjuangan para Pahlawan” on lesson six. The analize revolves on the rule of Menteri Pendidikan dan Kebudayaan Nasional, an article discussing about the implementation of Curricullum 2013 and article from website of Badan Nasional Standar Pendidikan (BSNP). Based on result of this research are found that core competencies of mathematics that do not appear in the competency mapping appear in learning materials, indicators of IPA do not match the needed of basic competencies, learning objectives that are not in accordance with the formulation of indicators, materials of IPA and PJOK subjects to liltte and learning subject and tools not listed in student books. Based on the results of the analysis it was conclude that student book of fourth grade student theme “Pahlawanku” subtheme “Perjuangan Para Pahlawan” on lesson six needs a lot of improvement in accordance with the study result.
The Impact of Social Media on the Promotion of Commodities for Small Projects in the State of Kuwait

The current study aimed at identifying the impact of social media on promotion of commodities for small projects in the State of Kuwait. The study population consisted of all workers in small projects, and they numbered (720) workers. A simple random sample of (250) workers was chosen. The study concluded that there is a statistically significant effect of the elements of social media (conversations, groups, participation, partnership, relations) in promoting the commodities of small projects in the State of Kuwait; the study also reached a number of recommendations, the most important of which are: The need for those in charge to focus on social media, (Facebook, Instagram, Twitter and LinkedIn) as a means of communication with customers in order to promote of commodities for small projects in the State of Kuwait because of its characteristics and advantages, focusing on giving social media more care and attention to the mechanism of adopting credible and reliable information to reach those wishing to establish small projects in the State of Kuwait, as this information helps them in adopting their projects, the need for those in charge of social media to encourage the owners of implemented projects to share their own experiences and expertise to enhance new projects owners. Keywords: Social Media, Promotion of Commodities for Small Projects, Kuwait. DOI: 10.7176/NMMC/89-03 Publication date: April 30 th 2020
Teaching reading using ReadTheory website as an online platform

The objectives of this research were to know whether or not there is a significant improvement on reading achievement after teaching using ReadTheory and which reading aspect is improved the most. The design of this study was one group pretest-post test design. The study employed reading test for pretest and post test. The result of study found that the two tailed significance value (p) is 0.000. ReadTheory is significant to improve reading achievement and supporting details are the aspect improved the most. This is proven as the result of post test mean reached 62,59 from 53,40. The improvement was shown in all aspects of reading, especially aspect of supporting details. The gain percentage of supporting details was 13.6%. Thus, the teachers can try to employ ReadTheory in order to enhance reading practice especially in aspects of supporting details. Key Words: ReadTheory, improvement, reading test, reading aspect.
Image Enhancement and Feature Extraction of Cytomegalovirus Image using Hierarchical Ranking Convolutional Neural Network (HR-CNN)

Human Cytomegalovirus is becoming a common issue around the globe , mainly it deals with the infection of the fetus in the womb. Digital image processing plays a vital role in various fields especially in the field of medicine to have a better quality of image of viruses in various forms. To have better clarity of images even in microscopic images there might be some flaws in detection of viruses because of the intensities which occur due to atmospheric lights, to overcome the flaws in microscopic images there comes a technique image enhancement to overcome noise in images especially distortion free images to be produced based on some image quality assessment and to reduce noise in an image without any loss of information. In this paper the proposed methodology called Hierarchical Ranking Convolution Neural Network is introduced based on Upward/Downward hierarchy and Forward/Backward Hierarchy to extract features and to provide intensified image of the virus. Image quality assessment is done with the parameters and evaluated using Mean Square Error, Peak signal to Noise Ratio, Root Mean Square Error, Structure Similarity Index, Mean Structure Similarity Index to prove the accuracy.
Image Security using Self embedding Fragile Watermarking Method

Rapid development in technology to provide security to data in the form of images is a major issue.So to provide security to the original image, watermark image embedded in it.In this paper we use self embedded watermark using fragile watermark technique.Authenticity of an image can be tested using block based technique of self embedding fragile watermarking; to represent the entire image the feature image watermark is used.In each 2x2non overlapping block four authentication bits and eight recovery bits are generated.In each block three least significant bits are embedded with authentication bits and recovery bits are embedded in the three least significant bits of the mapped block This paper mainly summarizes the Selection of image, method of watermark insertion, detection and tamper localization and recovery procedure.The experimental results of this proposed method shows visual quality of image recovery better than some of the schemes.
Study of estimation of distribution algorithms applied to neuroevolution

&lt;p&gt;This thesis proposes a methodology for the automatic design of neural networks via Estimation ofDistribution Algorithms (EDA). The method evolves both topology and weights. To do so, topol-ogy is represented with a fixed-length, indirect encoding; weights are represented as a bitwise en-coding. The topology and weights are searched via an incremental learning algorithm and a GuidedMutation operator. To explore suitable EDA ensembles, the study presented here interchangeablycombined two representations for topology, two for weights, and two learning algorithms. Testsused in the analysis include: XOR, 6-bit Multiplexer, Pole-Balancing, and the Retina Problem. Theresults demonstrate that: (1) the Guided Mutation operator accelerates optimization on problemswith a fixed fitness function; (2) the EDA approach introduced here is competitive with similarGP methods and is a viable method for Neuroevolution; (3) our methodology scales well to harderproblems and automatically discovers modularity. &lt;/p&gt;
Augmented Reality Educational Applications: Let’s Find out What Students and Teachers Need!

While the number of augmented reality educational applications (AREAs) has increased in the recent decade, the actual uptake of AREAs in real-life contexts has been low. Our systematic review showed that little attention was paid to the teacher’s perspective of AREAs. A handful of studies with teachers showed that the lack of equipment and inadequate support hindered the AREA uptake. However, these studies had a severe limitation: many of the participating teachers did not have any interaction experience with AR. Hence, we conducted a survey targeting teachers with actual experience of deploying AR in teaching. Results showed that teachers held positive views about the educational values of AR and wanted to use it more for teaching. To meet this goal, certain factors need to be improved: quality devices, teacher training, user experience of AREAs, and coverage of AR content. We derived teacher requirements to address the identified needs.
Prior-knowledge based Green's kernel for support vector regression

This thesis presents a novel prior knowledge based Green's kernel for support vector regression (SVR) and provides an empirical investigation of SVM's (support vector machines) ability to model complex real world problems using a real dataset. After reviewing the theoretical background such as theory SVM, the correspondence between kernels functions used in SVM and regularization operators used in regularization networks as well as the use of Green's function of their corresponding regularization operators to construct kernel functions for SVM, a mathematical framework is presented to obtain the domain knowledge about the magnitude of the Fourier transform of the function to be predicted and design a prior knowledge based Green's kernel that exhibits optimal regularization properties by using the concept of matched filters. The matched filter behavior of the proposed kernel function provides the optimal regularization and also makes it suitable for signals corrupted with noise that includes many real world systems. Several experiments, mostly using benchmark datasets ranging from simple regression models to non-linear and high dimensional chaotic time series, have been conducted in order to compare the performance of the proposed technique with the results already published in the literature for other existing support vector kernels over a variety of settings including different noise levels, noise models, loss functions and SVM variations. The proposed kernel function improves the best known results by 18.6% and 24.4% on a benchmark dataset for two different experimental settings.
Sistem Pendukung Keputusan Spesifikasi Biji Jagung Berkualitas Terbaik dengan Metode Multi Attribute Utility Theory

Farmers sell corn kernels in the company of PT Charoen Pokphan Indonesia Tbk Medan, corn kernels are used to mix feed ingredients to meet the protein values and nutrition of these feeds to be of high quality. The company PT Charoen Pokphan Indonesia Tbk Medan buys corn kernels to farmers by specifying the best quality corn kernels, so they know the total price of corn kernels is in accordance with the quality needed. This research determines the criteria of the best quality types of corn kernels and how to apply the Multi Attribute Utility Theory to decision support systems to determine the quality of corn kernels, to be able to help the company PT Charoen Pokphan Indonesia Tbk Medan in determining the quality of corn kernels. Based on the criteria set out in the company PT Charoen Pokphan Indonesia Tbk Medan to obtain the best quality corn kernels using grade 1 to grade 4 and ranking. The results of testing these methods are produced a decision on an alternative with a total value of 86.7%. So this method is needed to evaluate the determination of the best quality corn kernels to produce the best decisions
Polyfōnía: an Interactive Vocal Processing System using Finger Tracking

PolyfÅnÃ­a is a real-time portable vocal processing system which users can control by means of their fingers, without the use of gloves or wiring. Its vocal processors include a live looping system and a harmonizer. Motion detection is performed by a motion sensor. Through specific gestures, the user can develop and control real-time voice harmonies and live looping. The system's input is the microphone's audio signal and its output is the processed audio signal. The traditional foot-controlled vocal processors are not oriented towards the real-time vocal performer's needs, as their handling interferes with the posture and expressiveness of the performer's body, acting more as a communication barrier and a source of distraction. The goal of PolyfÅnÃ­a is to offer, through new technologies and interactive performance, a more natural handling of vocal processors, without added components, highlighting them as a valuable tool for vocal artists in real-time conditions. It is intended to be used in conjunction with vocalists' standard performing techniques and aesthetics, as a means for expanding the possibilities of human voice and musical creation.