Reviewerly/exHarmony huggingface dataset:
Perspectives of Cloud Computing Management: An Overview

Abstract Cloud computing is not limited to reduce the capital expenditure but also used to perform trillions of computations per second in consumer-oriented applications such as financial portfolios to deliver personalized information, to provide data storage or immersive computer games. The purpose of the paper is to provide an overall management perspective of cloud computing with the aim to highlight the management that should be properly addressed and managed to realize the full potential of cloud computing. The cloud computing concept offers dynamically scalable resources provisioned as a service over the internet. Economic benefits are the main driver for the cloud since it promises the reduction of capital expenditure and operational expenditure. Keywords: Cloud computing, cloud types, delivery models, resource allocation, virtualization Cite this Article Priyanka Chawla, Surbhi Jha, Ritica Saxena et al . Perspectives of Cloud Computing Management: An Overview. Journal of Computer Technology & Applications. 2015; 6(3): 72 82 p.
UofL Libraries: Background Factual Research Online: Organizations

Learn how to thoroughly research the background of a legal issue online. Tips for finding background information on businesses, government agencies, and non-profits.
Analysis of Influencing Factors of Psychological Health Status of Left-behind Children Relying on Multi-layer Linear Structural Equation Model

In order to analyze the psychological health status of left-behind children, it is necessary to be able to quickly generate a set of large-scale measurement data of psychological health status of left-behind children as input data for testing. This paper presents a method of analysis of influencing factors of psychological health status of left-behind children relying on multi-layer linear structural equation model. The method can construct a multi-layer linear structural equation model according to the definition of psychological element measurement and the constraints of user input, and accurately generate the measurement output results of psychological health status of left-behind children. The experimental results also show that this method has better generation efficiency than other methods, and thus is more suitable for the test on psychological health status of left-behind children.
A Study on a New Different Version Materials and a Work about a Didactic Female-gasa &lt;ByeolGyoSA&gt;

이 논문은 최근에 나온 계녀가류 규방가사인 <별교사(別敎詞)>를 새로이 소개하고 그것의 담론 내용을 고찰한 것이다. <별교사>는 현재 선문대 구사회 교수가 소장하고 있다. 출처는 경북 안동에서 나온 것이다. <별교사>는 지금까지 논의된 적이 없는 가사이나 전혀 새로운 작품은 아니다. 왜냐하면 근래에 보고된 조춘호 소장본의 <벌교&#59773;>와 이본 관계에 있다고 여겨지기 때문이다. 구사회 소장본과 조춘호 소장본을 비교하면 둘 다 19세기 표기법으로 기록되어 있는데, 전자의 내용이 온전하고 표기가 정확한 편이다. 전자는 후자에 누락된 부분도 온전히 갖추고 있기 때문이다. 두 이본을 비교 검토해보면, 구사회 소장본의 <별교사>가 조춘호 소장본의 <벌교&#59773;>보다 원본이거나 원본에 가까운 善本으로 여겨진다. <별교사>는 1남2녀의 어머니가 17세 된 막내딸을 멀리 출가시키면서 몹시 그리워하는 내용을 담고 있는 가사 작품이다. 그리고 친정어머니로 여겨지는 화자가 스스로 아쉬움과 슬픔을 달래면서 딸에게 시댁에서 아녀자로서 지녀야 할 생활 규범을 담고 있다. 그런 점에서 <별교사>는 思女歌類 규방가사이자 誡女歌類 규방가사의 일종이라고 하겠다. <별교사>의 창작 시기는 작품 말미에 나오는 ‘병오’라는 언급에서 ‘1906년(광무10)’으로 보았다. 그것은 <별교사>의 막내 사위가 구한말의 ‘쥬&#59773;(主事)’라는 직책에 있었다는 것과 ‘인동읍’이라는 지명 유래에서 추정하였다. <별교사>는 대부분의 다른 가사처럼 ‘서사’ - ‘본사’ - ‘결사’로 구성되어 있고, 내용상으로 ‘기’ - ‘승’ - ‘전’ - ‘결’의 4단 구성을 취하고 있다. 다만, ‘서사’와 ‘본사’, 그리고 ‘본사’와 ‘결사’가 문장으로 명확하게 구분되지 않고 이어지고 있었다. 이 시기에 이르러 가사의 정제된 형식이 흐트러지고 있었다는 방증으로 여겨진다. <별교사>의 담론 내용은 대체로 계녀가류 규방가사의 범주를 벗어나지 않았다. 담론은 다음 세 가지로 요약할 수 있다. 첫째, 남성 중심의 봉건 체제에서 겪는 여성들의 삶의 내면을 기술하고 있었다. 둘째, 봉건사회에서 아녀자들이 마땅히 지녀야 할 여성 규범을 다루었다. 셋째, 가문에 대한 자부심을 담고 있었다. 그런데 <별교사>는 이와 같은 세 가지 담론 중에서 둘째인 여성 규범이 상대적으로 약화되고 있었고, 여성으로서 겪는 화자의 내면이 부각되고 있었다. 다른 계녀가류 규방가사에 종종 진술되기도 하던 집안과 가문에 대한 내력을 자부심과 함께 구체적으로 진술하며 보다 강화시키고 있었다. <별교사>는 계녀가류 규방가사의 일종이다. 그리고 가사의 형식과 내용이 그것의 연장선상에 있었다고 여겨진다. 하지만 <별교사>는 그 이전의 계녀가류 규방가사에서 변화되고 있는 몇몇 모습도 포착된다. <별교사>는 이전의 가사에 비해 형식과 형태가 흐트러지고 있었다. 작품 내용도 이전의 계녀가류 규방가사처럼 여성규범이 약화되면서 여성들의 처지나 불평등과 같은 사회적 문제로 옮겨가고 있는 조짐을 감지할 수 있었다.This paper introduces a new ByeolGyoSA and examines the contents. The ByeolGyoSA is currently a part of Professor Koo SaWhaes collection at Sun Moon University and came from Andong, Gyeongbuk area. The ByeolGyoSa is a lyric piece that has not been discussed so far, but it is not a new work at all. Rather, the ByeolGyoSa is related to Cho Chungho’s recent collection. In comparison, the former collection is considered to be the original or closer to the original than the Chochunho collection. The ByeolGyoSa describes what the mother feels when her youngest daughter marries. The narrator, who is regarded as the mother of the mother, embraces the sadness and the norm that the daughter should have as a wife. The time of creation is estimated to be 1906. The content of the ByeolGyoSa can be summarized in three major ways. First, it deals with the problems of women’s lives in a malecentered feudal system. Second, it deals with women’s norms in feudal society. Third, it describes pride in the family. However, the ByeolGyoSa was relatively weak in the second of these three discourses, although the inside of the speaker experiencing this as a woman has been highlighted. Another female-gasa was strengthening her family history and her family history, which was often mentioned in the family history, by expressing her pride. The ByeolGyoSa was different previous female-gasa. It was disorganized in form and shape compared with the previous one. Further, its content had shifted to social problems such as women’s inequality and the idea of inequality being the norm among women weakened.
LibGuides: Human Library at UCA: Overview

The University of Central Arkansas will host a Human Library event on April 14, 2020 in Torreyson Library
Face detection method using OpenCV

Currently, the OpenCV function library is being used and becoming more common and used in digital images Processing to solve some image processing problems which can improve image processing efficiency. it is a computer vision method that helps to find and visualize the faces in digital images view. This method is a special use in the case for object detection methods that process instances of semantic objects that detect certain classes (for example, people, buildings, or cars, etc.) in digital images and video. this technology plays an important role in Improve the recognition rate of face recognition systems in noise environment and curse Communicate with others. In this research paper, we discussed the use of face detection method in classrooms for attendance as well as for safety, security reasons and method of the detection faces which can adopt the relative positions of every specific face present in the classroom. The experiments show that this method can quickly and efficiently extract the face region, and improve the face segmentation precisely.
LibGuides: ADN: Welcome

LibGuide for the ADN program Page devoted to new students that welcomes the students and provides videos and information to the college
Real Time Gender Classification Based on Facial Features Using EBGM

Presently a day's face acknowledgment is an effect theme in some of security issues introduces progressively applications. In light of every day utilization gadgets, secure shortage is an escalated application in confront extraction. Generally create Principle Component Analysis (PCA) based face acknowledgment in picture preparing, in this they are utilizing skin shading based approach for include extraction and face acknowledgment to enhance the precision of the application. In any case, is it not available for dimensional component extraction in confronting acknowledgment. So in this document, we propose a new & novel approach i.e. Elastic Bunch Graph Matching (EBGM), in highlight extraction to order tight and wide weed utilizing SIFT key-focuses descriptor. Specifically we break down the SIFT key components of weed pictures and outline a calculation to remove the element vectors of SIFT key-focuses in view of extent and edge course. Scale Invariant Feature Transform (SIFT) turned out to be the most vigorous neighbourhood variable component descriptor. Filter based method for recognizing and extricating nearby component and expressive descriptors which are sensibly changes in enlightenment, picture commotion, revolution & scaling and little changes in perspective. Our experimental results show efficient face recognition for real time image processing applications.
SEmantic Networks of Data: Utility and Privacy

The amount of data produced by individuals and corporations has dramatically increased during the last decades. This generalized gathering of data brings opportunities but also new privacy challenges. Nowadays, data are often organized as graphs with an underlying semantic to allow efficient querying and support inference engines. Such is the case in, for example, linked data and semantic web typically relying on RDF. The SEmantic Networks of Data: Utility and Privacy (SEND UP) project focuses on such databases and will follow two main goals: (1) prevent illegitimate use of private data while querying semantic data graphs and (2) publish useful sensitive semantic data graphs while preserving privacy. Context and goals More and more private information collected: threatening privacy yet useful ⇒ needs for privacy guarantees and utility preservation.
Designing Travel Bots

Hack Hospitality brought together Surrey’s research team with experts in AI androbotics, as well as thought leaders in the hospitality and travel industry to envisionhow to best implement chatbots for hospitality. Workshop participants engaged ininsightful discussion and collaborative exercises using Personas and Scripts to codesign human-chatbot conversations and think about the benefits and challenges ofimplementing chatbots in the travel and hospitality industry.
A well-known URI for publishing ESNIKeys

We propose use of a well-known URI at which web servers can publishESNIKeys as a way to help get those published in the DNS.
Model inference for Ordinary Differential Equations by parametric polynomial kernel regression

Model inference for dynamical systems aims to estimate the future behaviour of a system from observations. Purely model-free statistical methods, such as Artificial Neural Networks, tend to perform poorly for such tasks. They are therefore not well suited to many questions from applications, for example in Bayesian filtering and reliability estimation. This work introduces a parametric polynomial kernel method that can be used for inferring the future behaviour of Ordinary Differential Equation models, including chaotic dynamical systems, from observations. Using numerical integration techniques, parametric representations of Ordinary Differential Equations can be learnt using Backpropagation and Stochastic Gradient Descent. The polynomial technique presented here is based on a nonparametric method, kernel ridge regression. However, the time complexity of nonparametric kernel ridge regression scales cubically with the number of training data points. Our parametric polynomial method avoids this manifestation of the curse of dimensionality, which becomes particularly relevant when working with large time series data sets. Two numerical demonstrations are presented. First, a simple regression test case is used to illustrate the method and to compare the performance with standard Artificial Neural Network techniques. Second, a more substantial test case is the inference of a chaotic spatio-temporal dynamical system, the Lorenz--Emanuel system, from observations. Our method was able to successfully track the future behaviour of the system over time periods much larger than the training data sampling rate. Finally, some limitations of the method are presented, as well as proposed directions for future work to mitigate these limitations.
Computational Concentration of Measure: Optimal Bounds, Reductions, and More

Product measures of dimension $n$ are known to be concentrated in Hamming distance: for any set $S$ in the product space of probability $\epsilon$, a random point in the space, with probability $1-\delta$, has a neighbor in $S$ that is different from the original point in only $O(\sqrt{n\ln(1/(\epsilon\delta))})$ coordinates. We obtain the tight computational version of this result, showing how given a random point and access to an $S$-membership oracle, we can find such a close point in polynomial time. This resolves an open question of [Mahloujifar and Mahmoody, ALT 2019]. As corollaries, we obtain polynomial-time poisoning and (in certain settings) evasion attacks against learning algorithms when the original vulnerabilities have any cryptographically non-negligible probability. We call our algorithm MUCIO (MUltiplicative Conditional Influence Optimizer) since proceeding through the coordinates, it decides to change each coordinate of the given point based on a multiplicative version of the influence of that coordinate, where influence is computed conditioned on previously updated coordinates. We also define a new notion of algorithmic reduction between computational concentration of measure in different metric probability spaces. As an application, we get computational concentration of measure for high-dimensional Gaussian distributions under the $\ell_1$ metric. We prove several extensions to the results above: (1) Our computational concentration result is also true when the Hamming distance is weighted. (2) We obtain an algorithmic version of concentration around mean, more specifically, McDiarmid's inequality. (3) Our result generalizes to discrete random processes, and this leads to new tampering algorithms for collective coin tossing protocols. (4) We prove exponential lower bounds on the average running time of non-adaptive query algorithms.
Chapter 3. Keeping and Managing Records

In this chapter, we investigate various aspects of record-keeping behaviour. These include the life-cycle of the scientific record and how the high-level processes of scientific research are used to construct it. We also look at how researchers learn to keep records and what influences the structure, content, and organisation of their notebooks, together with some examples from a variety of scientific disciplines. Keeping notes is more than just making random jottings in the notebook and we will discuss how the personal and private nature of notebooks, and the thoughts and experiences captured within, can influence the sharing behaviours of researchers.
Face Recognition Based Rank Reduction SVD Approach

Standard face recognition algorithms that use standard feature extraction techniques always suffer from image performance degradation. Recently, singular value decomposition and low-rank matrix are applied in many applications,including pattern recognition and feature extraction. The main objective of this research is to design an efficient face recognition approach by combining many techniques to generate efficient recognition results. The implemented facerecognition approach is concentrated on obtaining significant rank matrix via applying a singular value decomposition technique. Measures of dispersion are used to indicate the distribution of data. According to the applied ranks, thereis an adequate reasonable rank that is important to reach via the implemented procedure. Interquartile range, mean absolute deviation, range, variance, and standard deviation are applied to select the appropriate rank. Rank 24, 12, and 6reached an excellent 100% recognition rate with data reduction up to 2 : 1, 4 : 1 and 8 : 1 respectively. In addition, properly selecting the adequate rank matrix is achieved based on the dispersion measures. Obtained results on standard face databases verify the efficiency and effectiveness of the implemented approach.
Library: PRISM: What to Submit

PRISM (formerly known as DSpace) is University of Calgary's Digital Repository used to collect, preserve and disseminate the academic works of faculty, students, and research groups.
Fundamentals of collection development and management, 4<sup>th</sup> edition

"Fundamentals of collection development and management, 4th edition." Technical Services Quarterly, 36(3), pp. 331–332
PENURUNAN BOD (BIOCHEMICAL OXYGEN DEMAND) DAN TSS (TOTAL SUSPENDED SOLIDS) PADA PENGOLAHAN LIMBAH CAIR DOMESTIK DENGAN PROSES ANAEROBIK BIOFILTER

Domestic wastewater in the culinary area is waste water produced from several restaurants. The problem of liquid waste needs to get serious attention, because it has complex characteristics and the remaining results of these activities can cause the volume of wastewater with a high contaminant load that flows continuously over a long period of time. One way to manage the environment is through physical processing, namely by pre-treatment of sedimentation and biological treatment by biofilter anaerobic processes. Anaerobic biofilter is a biological treatment, which uses media as a place to grow and develop microorganisms, with no oxygen in the reactor. The parameters in liquid waste processing consist of three, namely physical parameters, chemical parameters and biological parameters. In the method of combating liquid waste here uses chemical parameters, namely BOD and TSS. Where BOD ( Biochemical Oxygen Demand ) is the number of milligrams of oxygen needed by aerobic microbes to decompose karon organic matter in 1 L of water for 5 days at a temperature of 20EsC Â± 1EsC. Whereas for TSS ( Total Suspended Solid ) as the residue from total solids held by a filter with a particle size of maximum 2I¼m or greater than the size of colloidal particles, which include TSS are mud, clay, metal oxides, sulfides, algae, bacteria, and fungi . The aim of this research is that the liquid waste from the activity can be reused as clean water by anaerobic biofilter method using BOD and TSS parameters. The variables used are operational time. Reactor I and reactor II contain media arranged from the bottom up, namely rock fragments, gravel, shells and gauze. The operational time variations used are 0 hours as t0 or the first time the waste exits the reactor, and the time is 2 hours, 4 hours, 6 hours, and 8 hours is a periodic observation of operational time. The results showed that anaerobic biofilter has the ability to reduce the concentration of BOD ( Biological Oxygen Demand ) and TSS ( Total Suspended Solid ). Based on the Regulation of the Minister of Environment and Forestry of the Republic of Indonesia Number P.68 / Menlhk / Setjen / Kum.1 / 8/2016 concerning Domestic Waste Water Quality Standards, the characteristics of wastewater are obtained before treatment (pre treatment) which is 28- 31 Â° C; pH 9,3-10; BOD 30 mg / L; and TSS 29 mg / L. Decreasing the initial state in reactor I for BOD is 25 mg / L. Whereas for the decrease in TSS is 16 mg / L. The results showed that anaerobic biofilter with pumice, gravel and clam shell media had the ability to reduce BOD and TSS concentrations significantly. The percentage decrease in concentration in reactor I was greater than that of reactor II, with an operational time of 6 hours for BOD allowance of 73,54%. While the operational time of 8 hours for TSS is 81,39%.
Generating Training Data for Keyword Spotting given Few Samples

Speech recognition systems generally need a large quantity of highly variable voice and recording conditions in order to produce robust results. In the specific case of keyword spotting, where only ...
Video Distortion Method for VMAF Quality Values Increasing.

Video quality measurement takes an important role in many applications. Full-reference quality metrics which are usually used in video codecs comparisons are expected to reflect any changes in videos. In this article, we consider different colour corrections of compressed videos which increase the values of full-reference metric VMAF and almost don't decrease other widely-used metric SSIM. The proposed video contrast enhancement approach shows the metric inapplicability for video codecs comparisons, as it may be used for cheating in the comparisons via tuning to improve this metric values.
Error Analysis Of The Essays Written By English Department Students Of Halu Oleo University

Errors have long been the obsession of language instructors and researchers. Before, errors were looked at as a problem that should be eradicated. However, errors are now considered as a device that learners use and from which they can learn, they provide evidence of the learner's level in the target language , they contain valuable information on the learning strategies of learners , and they also supply means by which teachers can assess learning and teaching and determine priorities for future effort. Thus, conducting error analysis is therefore one of the best ways to describe and explain errors committed by the EFL learners. The objective of this study is to identify type of errors on the EFL that is commonly found in students writing performances according to Surface Strategy taxonomy, to identify the possible causes of students’ errors in their writing performances and to identify kind of grammatical errors in students writing performances. This study employed a qualitative method. Sources of data were students’ writing performance in essay form. The result shows all of the four types of errors according to surface strategy taxonomy such as omission, misinformation, addition, and malformation/disordering, the result shows omission and misinformation are the types of errors that commonly found English department students’ essays. However, omission is the type of errors that is founded the most in students writing. The Possible causes of students’ error are: The learner doesn’t know the structural pattern. Hence, they make random response; The correct model has been insufficiently practiced; Distortion may induce by the first language. Kind of grammatical errors that is found in students’ essays are noun and verb inflection, subject-verb agreement, articles, pronouns, spellings, singular/plural form, capitalization, sentence fragments and prepositions. On the basis of these results, some pedagogical implications which might assist ESL/EFL teachers with some helpful suggestions and teaching strategies that will reduce future problems regarding writing for EFL learners.
Word-level Sentiment Visualizer for Financial Documents

It has a great demand for automatically visualizing word-level sentiment scores in financial documents in the form that even non-experts can briefly understand documents. In this paper, we aim to develop a method for automatically visualizing the original word-level sentiment (i.e., word-level sentiment before considering the contexts in a document) and the contextual word-level sentiment (i.e., word-level sentiment after considering the contexts in a document) of each term in a document. To achieve this aim, we develop a method for assigning both original and contextual word-level sentiment scores to words using the Layer-wise Relevance Propagation (LRP) method. The LRP based approach can consider the contextual information in assigning original and contextual sentiments to words, in contrast to the other approaches. Using synthetic and real financial textual datasets, we demonstrated the validity of our LRP based approach. Moreover, we propose two types of novel text-visualization frameworks: local word-level sentiment visualization (LWSV) and global word-level sentiment visualization (GWSV). The LWSV visualizes both original and contextual word-level sentiment of each term in a document. The GWSV visualizes both original and contextual word-level sentiments of documents in concept units. These types of text-visualization should be helpful for understanding financial documents quickly.
Fuzzy Internal Direct Product

The purpose of this research is to show a constructive method for using known fuzzy groups as building blocks to form more fuzzy subgroups. As we shall describe employing this procedure with the fuzzy generating subgroups give us a large class of fuzzy subgroup of abelian groups which include all fuzzy subgroup of abelian groups of finite order.
LibGuides: Parent and Child Resources: Home

This helpful guide lists a variety of resources that are helpful to parents and children, including subject guides and fun, educational sites.