Reviewerly/exHarmony huggingface dataset:
Measurement of errors by axial misalignment and tilt of the null screen used in experimental arrangements by deflectometry

To measure the quality of optical surfaces, one of the most used methods is the deflectometry. To implement this technique, a screen is used to choose some incident rays on the surface under test. Subsequently, the intersection of the rays is measured, after having passed through the surface, in a detection plane perpendicular to the optical axis. With the coordinates of the points in the detection plane, the normal vectors are determined in each point of the surface under test. The process is simple if the incident rays are chosen in a configuration called null, that is, in the detection plane the measured points will be distributed in a uniform configuration, rectangular, circular, radial, etc. In this work we present the numerical simulations, considering an incident spherical wavefront in the null screen that is placed at an arbitrary position between the source and the flat surface of an aspheric lens that was used in the experimental arrangement. In the simulations it is expected to obtain a uniformly distributed arrangement of spots, which will be compared with the experimental results.
COMPARITIVE STUDY BTEWEEN DES ALGORITHM, AND FRFT FOR DATA ENCRYPTION USING FPGA

Cryptography techniques need some algorithms for encryption of data. Many of availableencryption techniques are used for textual data, a few of encryption methods are used formultimedia data; however, this algorithms that are used for textual data may be inefficient formultimedia. The most popular symmetric key algorithms are Data Encryption Standard(DES). However, DES may not be suitable for multimedia because it consumes times.Encryption and decryption of these data require different methods. This paper proposes anencryption and decryption of data by using the nature of Fractional Fourier Transform (FrFT)in signals analysis, based on multi-order FrFT. A different indicators to evaluate the securityof an encryption technique have been discussed. These indicators are: sensitivity proposedtechniques for the key, the complexity of the processes, and statistical analysis. The key isformed by combination of order of FrFT. The encrypted data is obtained by the summation ofdifferent orders. Numerical simulation results are given to demonstrate this proposed method.
SISTEM INFORMASI KEAMANAN BRANKAS DENGAN MITROKONTROLER ATMEGA 16

Security has become a necessity that is needed by everyone. In terms of money storage, the authors make a information security system in a safe with an ATmega 16 mitrocontroller. This system consists of two important parts, namely a mitrocontroller and mobile phone as a transfer medium. data and hardware systems consist of atmega 16 mitrocontrollers, LCDs, solenoids, keypads and sim800. This security system aims to improve security of safes. This will provide convenience and benefits for the community and companies that use it as a safe deposit box with passwords and SMS (short message service). The workings of this security system are as follows when the password that we enter is correct, then the safe door will open and if the password is incorrect, the safe owner will get an SMS (short message service) from the security system in the safe.
AN EXPLORATORY STUDY OF CYBERCRIME IN THE CONTEMPORARY NIGERIA VALUE SYSTEM

This paper examines cybercrime in the contemporary Nigerian value system. The paper finds that the uptick of cybercrime in Nigeria is inextricably linked with contemporary Nigeria value system. Indeed, the understanding of this linkage is important to carry out a truly scientific approach to the study of cybercrime and correct some policy misconceptions. The study was anchored on institutional anomie theory (IAT) and data were secondarily sourced through newspaper publications, journal articles, textbooks, magazines and publications. The paper recommends the urgent need for a value re-orientation, a re-engendering and a re-focusing on our value system with the view to actualizing our potentials and harnessing our resources both human and materials, for a greater, purposeful and vibrant Nigeria. Also, fighting corruption and enthroning transparency through the strengthening of institutions, and increased citizen participation in the governance process is urgently needed. Article visualizations:
A Model for Encryption of a Text Phrase using Genetic Algorithm

In any organization it is an essential task to protect the data from unauthorized users.Information Systems hardware, software, networks, and data resources need to be protected and secured to ensure quality, performance, and integrity.Security management deals with the accuracy, integrity, and safety of information resources.When effective security measures are in place, they can reduce errors, fraud, and losses.In the current work, the authors have proposed a model for encryption of a text phrase employing genetic algorithm.The entropy inherently available in genetic algorithm is exploited for introducing chaos in a text phrase thereby rendering it unreadable.The no of cross-over points and mutation points decides the strength of the algorithm.The prototype of the model is implemented for testing the operational feasibility of the model and the few test cases are presented
LibGuides: Homepage: Research Guide List

The Research Guides of the University Libraries provide targeted resources and links catering to user needs, important topics, and university courses.
An Adaptive Neuro Fuzzy Inference System for Diagnosing Periodontitis

Periodontitis is a chronic inflammatory disorder that is caused by bacterial infection and leads to the destruction of the periodontium. Clinical diagnosis of periodontitis is quite difficult and most dentists’ diagnosis might be subjective. Artificial intelligence has shown commendable results in medical diagnosis. This study utilized Adaptive Neuro Fuzzy Inference System in diagnosing periodontitis. 30 data instances were used in training the model.  The system had a training error of 8.2725e-005 at epoch 1 and an average testing error of 3.1514.
Variasi Kosakata Bahasa Ibu dalam Pemerolehan Bahasa Anak Balita di Desa Marga Dauh Puri, Kabupaten Tabanan: Kajian Psikolinguistik

This research is entitled "Vocabulary of Mother Language Variations in Acquiring Toddler Language in Marga Dauh Puri Village, Tabanan Regency: Psycholinguistic Study." The purpose of this study was to find out vocabulary categories, word variations, and factors that influence mastery and acquisition of language variations given his mother to a toddler in Marga Dauh Puri Village, Tabanan Regency. The theory used is the theory of language acquisition proposed by Chaer, the theory of language teaching proposed by Simanjuntak, and the theory of child development proposed by Chaer. To achieve these objectives, several methods and techniques are used. The source of the data for analysis was the family that had a five-year-old child in the Village of Marga Dauh Puri, Tabanan Regency. Furthermore, it was chosen by quota sampling technique. The results of this study are in the form of vocabulary taught by mothers to children including vocabulary categories such as noun categories, verbs, and adjective categories. The use of the dominant language taught is Balinese. Vocabulary variations include repetition and word variations. The dominant vocabulary variation used by mothers is word variation. Factors that influence the mastery and acquisition of vocabulary by children under five, are environmental factors, formal teaching factors, and age factors. The dominant factor influencing the mastery and acquisition of vocabulary by children under five in Marga Dauh Puri Village, Tabanan Regency is an age factor.
Penggunaan metode decision tree pada PT. HIS Tour &amp; Travel untuk pembukaan cabang baru

The purpose of this research is to find out the forecasting of flight ticket sales at PT. HIS Tour &amp; Travel Branch MM 2100 Cibitung. This research method uses forecasting with 7 methods namely Exponential Smoothing, Moving Average, Trend Projection, Addictive Decomposition Average All, Addictive Decomposition Centered Moving Average, Multiplicative Average All and Multiplicative Decomposition Centered Moving Average. This research is supported bya QM For Windows application. The results of this study indicate that the Addictive Decomposition Centered Moving Average method is the best method because it has the smallest MAD and MSE value of 104.76 and 22.897,57 with the results of sales forecasting in the next period which is 1371. This study also uses the Decision Tree method for opening decision new branch, the results obtained are the opening of new branches in the city of Bekasi with an expected value of Rp 280,560,000.&#x0D; Keywords: sales promotion, Forecasting, MAD, MSE, QM For Windows, Decision Tree
CzEngClass 0.3

The CzEngClass synonym verb lexicon is a result of a project investigating semantic ‘equivalence’ of verb senses and their valency behavior in parallel Czech-English language resources, i.e., relating verb meanings with respect to contextually-based verb synonymy. The lexicon entries are linked to PDT-Vallex (http://hdl.handle.net/11858/00-097C-0000-0023-4338-F), EngVallex (http://hdl.handle.net/11858/00-097C-0000-0023-4337-2), CzEngVallex (http://hdl.handle.net/11234/1-1512), FrameNet (https://framenet.icsi.berkeley.edu/fndrupal/), VerbNet (http://verbs.colorado.edu/verbnet/index.html), PropBank (http://verbs.colorado.edu/%7Empalmer/projects/ace.html), Ontonotes (http://verbs.colorado.edu/html_groupings/), and Czech (http://hdl.handle.net/11858/00-097C-0000-0001-4880-3) and English Wordnets (https://wordnet.princeton.edu/).
A case study on extracurricular reading program 'Dongjwamundo Book Club' using 'Close reading' and 'Answering reading'

‘동좌문도(同坐問道) 북클럽’은 2017년 2학기에 시작한 동아대 비교과 독서프로그램이다. 2018년 2학기에 운영한 ‘동좌문도 북클럽’ 2기는 한권의 책으로 한 학기에 교수와 학생이 독서 공동체를 이루어 꼼꼼하게 읽기(close reading)를 실천하였으며, 이를 바탕으로 하여 참여 학생들이 고등 독해 능력을 기르고, 응답하는 읽기(answering reading)로 나아갈 토대를 마련하였다. 응답하는 읽기를 위해 인식론적, 정서적, 실천적 반응과 응답을 촉발하고자 교수와 학생이 정기적으로 독서토론 활동을 하였으며, 연극 관람, 낭독극 체험, 독서에세이 쓰기 등의 활동을 하였다. ‘동좌문도 북클럽’ 2기는 최근 독서교육의 이론적 논의를 교육 현장에 실제 적용해 보았고, 학생들이 공독을 실천하고, 고전 읽기로 도전적 독서를 경험했으며, 독서 공동체의 합의적 이해를 바탕으로 독자 자신의 삶에 다가가고, 이 모든 과정에 지도교수의 조력적 역할을 분명히 했다는 점에서 의의가 있었다. 그러나 운영 시기와 홍보, 도서 선정 과정의 문제점과 학생 중심 북클럽 운영의 필요성 등에서 개선점이 발견되었다. 그럼에도 ‘동좌문도 북클럽’ 2기에 참여하여 꼼꼼한 독서와 응답하는 독서를 경험한 학생들에게는 유능하고 능동적인 독자로 나아갈 소중한 계기가 되었을 것이다.The ‘Dongjwamundo(同坐問道) Book Club’ is an extracurricular reading program of Dong-A University that started in the second semester of 2017. ‘Dongjwamundo Book Club 2’, which was operated in the second semester of 2018, had a close reading with a professor and a student reading community during one semester. Through this, participating students were able to read high reading ability and to do answering reading. Professors and students regularly gathered for reading discussion to stimulate epistemological, emotional, and practical answering for answering reading . And theater viewing, reader s theater experience, and reading essay writing. Dongjwamundo Book Club 2 has the following significance. Recently, the theoretical discussion of reading education was actually applied to the education field, and the students made a common reading. He experienced challenging reading with classical reading, and came to his own life based on Understanding by consensus of the reading community. And I made clear the role of the advisor in all of this process. However, improvements were found in terms of operation time, publicity, problem of book selection process and necessity of student centered book club operation. Nevertheless, We believe that students who have participated in Dongjwamundo Book Club 2 and have experienced close and answering reading have become fluent and active readers.
Pfeiffer Library: Open Resources: Contact Us

This guide walks users through the definition of open source and explains the various options for classroom use. Library contact and additional information.
Library Guides: Digital Research Notebooks: Digital Research Notebooks

Use Digital Research Notebooks, via the UQ Research Data Manager system, to organise, store, curate and share all your project's research or laboratory data including working documents, images, observations, and data in any format.
Cohesive Software Design

This paper presents a natural language processing based automated system called DrawPlus for generating UML diagrams, user scenarios and test cases after analyzing the given business requirement specification which is written in natural language.The DrawPlus is presented for analyzing the natural languages and extracting the relative and required information from the given business requirement Specification by the user.Basically user writes the requirements specifications in simple English and the designed system has conspicuous ability to analyze the given requirement specification by using some of the core natural language processing techniques with our own well defined algorithms.After compound analysis and extraction of associated information, the DrawPlus system draws use case diagram, User scenarios and system level high level test case description.The DrawPlus provides the more convenient and reliable way of generating use case, user scenarios and test cases in a way reducing the time and cost of software development process while accelerating the 70% of works in Software design and Testing phase
Evaluation of Software Understandability using Software Matrices

Understandability is one of the important characteristics of software quality, because it may influence the maintainability of the software. The cost and reuse of the software are also affected by understandability. In order to maintain the software, the programmers need to understand the source code. The understandability of the source code depends upon the psychological complexity of the software, and it requires cognitive abilities to understand the source code. The understandability of source code is get effected by so many factors, here we have taken different factors in an integrated view. In this, we have chosen a rough set approach to calculate the understandability based on outlier detection. Generally, the outlier is having an abnormal behavior, here we have taken that project has may be easily understandable or difficult to understand. Here we have taken a few factors, which affect understandability and bring forward an integrated view to determine understandability.
FreeIPA Replication: Adding Clients to the Domain

In the previous chapter we had our first contact with FreeIPA. We even performed the basic operations of adding and deleting users. In this chapter we’ll add an additional server to work as a replica, and we’ll add different computer clients to the domain. We’ll cover the following concepts:
Using SIFT Descriptors for Face Recognition Based on Neural Network and Kepenekci Approach

The principal objective of this paper is to develop a face matching method based on facial feature extraction. The first stage to build a robust face matching system is to extract corresponding points between a pair of images. A method based on feature vectors has been used to match images. Since the images illumination, motion, rotation, and scale are different, we have used the SIFT algorithm, which is robust to these variations, for extracting Keypoints. After determining Keypoints for both images and calculating their respective feature vectors, the degree of similarity between two images is evaluated. Besides, the feature vectors of the images are compared with the feature vectors of each reference image to determine the overall similarity between two images. In this paper, we use the SIFT algorithm along with the neural network and the Kepenekci approach and compare the results of these two methods.
A Study of an Iterative User-Specific Human Activity Classification Approach

Applications for sensor-based human activity recognition use the latest algorithms for the detection and classiﬁcation of human everyday activities, both for online and ofﬂine use cases. The insigh ...
Impact of Virtualization Technologies in the Development and Management of Cloud Applications

Today  almost all consumer services ranging from Banking  to Education, Ticket booking to Hospital Management  are made online.  The on line services are real time  and critical  application  models deployed in clouds. The cloud based applications depends on Datacenters (DCs) for resource management.  The resource utilization model  need to cope with dynamic workload and stochastic request spikes.  Virtualization is the key technology to improve resource utilization cum the deployment of  application services with high portability, isolation, scalability and performance. The goal of this paper is to compare and contrast the performance measures of various virtualization technologies under heterogeneous scenarios and to present their impact in building and deploying application services for the cloud environment. It is noticed that each virtualization technology out performs the other in some or the other performance dimensions. In spite of these differences some virtualization technology dominates the application development industry according to the recent trends and  heterogeneous application requirement of the  consumer service.
Navigating the Semantic Web

The World Wide Web is an ocean of heterogeneous data from a broad diversity of sources. How can we structure these data so that they can be processed by machines and yield new knowledge? Danai Symeonidou is a member of the Joint Research Unit for Mathematics, Informatics, and Statistics for the Environment and Agronomy (MISTEA) at the INRA centre of Occitanie-Montpellier. Here, she explains the intricacies of the Semantic Web.
Ordinary Security Cameras Could Keep an Eye on Rainfall

A new opportunistic sensing strategy could use existing closed-circuit television networks to accurately capture rainfall intensity, despite low-cost equipment and visually complex scenes.
Social Media Analysis using Optimized K-Means Clustering

Now a day's social media place an important role for sharing human social behaviors and participation of multi users in the network.The social media will create opportunity for study human social behavior to analyze large amount of data streams.In this social media one of the interesting problems is users will introduce some issues and discuss those issues in the social media.So that those discuss will contain positive or negative attitudes of each user in the social network.By taking those problems we can consider formal interpretation social media logs and also take the sharing of information that can spread person to person in the social media.Once the social media of user information is parsed in the network and identified relationship of network can be applied group of different types of data mining techniques.However, the appropriate granularity of user communities and their behavior is hardly captured by existing methods.In this paper we are proposed optimized fuzzy means clustering algorithm for grouping related information.By implementing this algorithm we can get best group result and also reduce time complexity for generating cluster groups.The main goal of our proposed framework is twofold for overcome existing problems.By implementing our approach will be very scalable and optimized for real time clustering of social media.
The Role of Knowledge Management in Enhancing Customer Experience Management - Field study: Private Hospitals in Amman, Jordan

This study seeks to explore the impact of knowledge management processes (KMPs) (knowledge creation, acquisition, storing, sharing and implementation) on customer experience management.Descriptive, analytical approach was used in this study; data were collected through questionnaires that were physically distributed to a random sample of 215 respondents.They constituted of marketing directors and workers in private hospitals in Amman, Jordan.The model achieves an acceptable fit and was found that knowledge management processes explain 88.88% of the variance in customer experience management.Linear and multiple regression analysis were both used to examine the research hypotheses using SPSS.The outcomes of the study showed that KMPs have a clear impact on customer experience management.Knowledge sharing specifically has the highest impact on customer experience management while knowledge implementation has the least impact.Consequently, the study recommends establishing a specialised department concerned with managing knowledge processes in an organised and informed manner in private hospitals.In addition, the study recommends holding workshops on information security and privacy to acquaint workers with the concept of data and information security and its legal and ethical aspects that are related to misuse of data sources in the hospital.Lastly, the study further advices directing, encouraging and supporting workers in implementing the knowledge they gained, which benefits employees and the work environment in the hospital in general.
Semantic Analysis of Tourism Vocabulary Based on Similar Words Calculation

Tourism data mining is the process of abstracting data relations from a huge number of tourism data. It can discover the implicit knowledge and rules which hidden in data. The discovery of the semantic relation between tourism words is the important content in tourism data mining. The classical similar words calculation model skip-gram in natural language processing area is introduced in the paper. The part of speech is not considered in skip-gram so when the similar words located closely in a sentence the model cannot identify them accurately. So we provide the model of skip-gram with Chinese Part of Speech—POS-skip-gram. With the help of this model and the tourism data from elong and ctrip website, we have established the semantic relations map of tourism words. The map can be the basis of tourism data mining.
Sentiment Analysis of Feedback Data

Knowing about the user's feedback can come to a greater aid in knowing the user as well as improving the organization.Here an example of student's data is taken for study purpose.Analyzing the student feedback will help to help to address student related problems and help to make teaching more student oriented.
The Role of Andragogics in the System of Uninterrupted Professional Education

Background:Science that recognizes and generalizes the practice of adult education is andragogy.It: provides knowledge to formulate and implement the main goals of adult education; it created theoretical, methodological foundations of pedagogical activity; it helps adults to acquire general and professional knowledge, achievement of culture and to revise life's principles.Therefore, we can conclude that, in general, andragogy examines education in the context of the human way of life.The object of andragogics is to consider over multidimensional uninterrupted adults' training, performed in institutes of formal, informal and lifelong education in accordance with socio-cultural conditions.We note that both the andragogical and pedagogical models of teaching are not contrasted to each other, but complement each other.Human education in the period of childhood continues to developsuccessfully the classical science of teaching childrenpedagogy.The peculiarities of personal training in the period of adulthood are explored by the new branch of the science of educationandragogy.