Reviewerly/exHarmony huggingface dataset:
An Orientation Weight Algorithm for Five-Axis OMI System

The length of the inspection path and the number of probe orientations are two basic path planning goals. For the number of probe orientations, minimizing the number of probe orientations will cause the probe to swing too large when measuring some local measurement points. The larger the probe angle will make the fluctuation of the measurement error larger, affecting the subsequent error compensation, thereby increasing the error of the measurement. For this problem, this paper proposes an orientation weight algorithm for five-axis coordinate measuring machine to inspect path planning. The orientation weight algorithm projects all the candidate probe orientations of the measurement point onto the orientation weight map, and then selects a weight distribution to set the angle of the different probes to the vertical normal vector with the smallest measurement error. A weight that classifies the measuring points into groups by the selected orientation. The path of each point is planned using the Traveling Salesman Problem (TSP) algorithm, and then the total path is obtained by concatenating different groups. Finally, the effectiveness and characteristics of the algorithm are verified by simulation experiments. The orientation weight algorithm introduces the weight of the error influence in the case of ensuring that the number of times the probe changes orientation is small. It not only ensures the efficiency of measurement, but also the accuracy of measurement.
A Modulation Recognition Method Based on Bispectrum and DNN

In this paper, we propose a new method for modulation recognition of received digital signals using bispectrum and AlexNet. The bispectrum analysis is used to generate the feature images, AlexNet, as a widely used deep neural network (DNN), is used as the classifier. It is able to classify six common digital communication signals, including 2ASK, 4ASK, 2FSK, 4FSK, 2PSK and 4PSK. Compared to the traditional decision-theoretic methods, the proposed method needs no prior information for the received signals. The numerical results indicate that this method is more robust and effective than the classical decision theory and its improved algorithm, particularly when the signal-to-noise ratio (SNR) is low. It is shown that the success rate of 90% can be achieved when the SNR is greater than or equal to 3 dB.
Virtual Machine Mobility Solutions for L2 and L3 Overlay Networks

This document describes virtual machine (VM) mobility solutionscommonly used in data centers built with an overlay network. Thisdocument is intended for describing the solutions and the impact ofmoving VMs, or applications, from one rack to another connected by theoverlay network. For layer 2, it is based on using an NVA (NetworkVirtualization Authority) to NVE (Network Virtualization Edge)protocol to update ARP (Address Resolution Protocol) tables orneighbor cache entries after a VM moves from an old NVE to a new NVE.For Layer 3, it is based on address and connection migration after themove.
Analysis of Forward Private Searchable Encryption and Its Application to Multi-Client Settings

Searchable encryption (SE) supports privacy-preserving searches over encrypted data. Recent studies on SE have focused on improving efficiency of the schemes. However, it was shown that most of the previous SE schemes could reveal the client's queries even if they are encrypted, thereby leading to privacy violation. In order to solve the problem, several forward private SE schemes have been proposed in a single client environment. However, the previous forward private SE schemes have never been analyzed in multi-client settings. In this paper, we briefly review the previous forward private SE schemes. Then, we conduct a comparative analysis of them in terms of performance and forward privacy. Our analysis demonstrates the previous forward secure SE schemes highly depend on the file-counter. Lastly, we show that they are not scalable in multi-client settings due to the performance and security issue from the file-counter.
Students’ English Speaking Anxiety Based on Personality Traits for Islamic Boarding School

This study was carried out to investigate English speaking anxiety experienced by students based on their personality traits (extrovert-introvert dimension) in boarding school. The method used in this study was quantitative approach with descriptive design. The population in this study were 120 students in the fifth grade student of MUQ Langsa where 92 students as the sample taken by using random sampling technique. The data were collected by “Mark Parkinson (1997) Personality Questionare” that consists of 16 statements and “Foreign Language Classroom Anxiety Scale (FLCAS)” by horwitz. et.al (1986) that consists of 33 statements. The finding indicated that the percentage of students who exhibit each dimension of personality from the highest to the lowest; they were introvert dimension (ID) of personality 67,4% and extrovert dimension (ED) of personality 32,6 %. The result of English Speaking Anxiety level divided into five categories. There were 11 students or 12 % in low level, 32 students or 34,8 % in medium level, 47 students or 51,1 % in high level, 2 students or 2,2 % in very high level and there was no one in very low level of the English speaking anxiety. Based on these finding it can be concluded that English speaking anxiety of the students was high level range and introvert was the dominant personality dimension possessed by the students.
Biofilter Evaluation in Settlements on Expanded Polystyrene Foam Floating Structure (Case Study: Tambak Lorok Semarang)

The development of settlement in expanded polystyrene foam (EPS) floating structure must be supported by suitable waste water infrastructure. Capacity factor analysis has been developed as a way to increase waste water technology capacity. This research purpose is to evaluate and increase biofilter capacity factor to meet requirement when a floating settlement is built in Tambak Lorok Semarang. Capacity factor identified from literature, group discussion and inspection data. The community and environment analysis conducted in Tambak Lorok settlement (n = 250). The capacity factor divided into 4 main factors to to evaluate the biofilter. Biofilter must be certified and following its service capability to fulfill the services capacity factor. Sun protector, tidal wave protector, salt water or marine resistant coating and installed only in calm wave area is needed to fulfill its technical capacity factor. Biofilter as low cost technology can fulfill the environmental economy factor needed by the community which has a low willingness to pay (Rp. 1000 / month). The evaluation and model that built in Tambak Lorok can be uses as guidelines for designing biofilter in floating Settlement or building on EPS structure.
Faceted Information Flow

Author(s): Schmitz, Thomas James | Advisor(s): Flanagan, Cormac | Abstract: This thesis aims to make progress on the problem of using dynamic information flow control for computer security at the application level, specifically using Faceted Values. This technique involves augmenting program data values so that each one is a pair of two primitive values:one high-security version that is visible only to high-security observers, and one low-security version that is visible to everyone else. These augmented values are called faceted values, and the various versions are called facets. This technique allows very precise tracking of information flow through a program, allowing programmers to increase confidence in the security of their systems.This thesis helps to increase the maturity of research on the ``Faceted Values'' technique, bringing it in line with research on the prior techniques ``No Sensitive Upgrades'' and ``Secure Multi Execution.'' Specifically, we have formalized a new semantics (called Multef) and proved that it satisfies a strong (``termination sensitive'') security property, we have implemented the technique as a Haskell library (called FIO) using two monads, and we have tested it in a prototype social network application (called FacetBook).
A Study on Blended Listening Teaching Model Supported by Mobile Technology

In today’s rapid development of information technology, the deep integration of information technology and English curriculum is the core of current English teaching reform. The paper proposed and constructed blended English listening teaching model. The teaching practice proved that blended listening teaching model supported by the mobile technology can evidently promote students’ listening ability. The model has strong operational and practical significance.
Ten Minutes Solar Irradiation Forecasting on Inclined Plane using Evolutionary Product Unit Neural Networks

This work applies evolutionary product unit neural networks (EPUNNs) to estimate global inclined irradiation at real time and predict it 10 minutes in advance. Both tasks are accomplished simultaneously, by using one single model with two outputs. One advantage of our approach is that the predictions of inclined irradiation are obtained without the need of a series of historical data. In this way, the model only considers one measured input variable, which is the horizontal global irradiation at the previous instant. Besides, the evolutionary algorithm used to optimize the network allows us to obtain the best adapted topology of the model with respect to the number of hidden neurons and synaptic connections. Very promising results are obtained, where the inclined irradiation I <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">β</sub> (t) is estimated with an accuracy of 5.10% of nRMSE, while it is predicted 10 minutes in advance with an accuracy of 16.97%.
Impact of Technology in Life of a University Student

Technology has drastically transformed the culture of education system.Students have access to endless data and information from the ocean of sources called Internet with high speed and reliability.Teachers can perform various calculations, analyze information, visualize educational data and information and can even conduct live classes through various media software.Despite Internet having many constructive attributes, there are few unconstructive aspects also.Due to contemporary trends of online gaming, students are becoming increasingly more addictive towards their electronic gadgets which are hampering their studies.This paper examines the impact of technology on a student.A survey questionnaire was distributed online to various University students through their emails in Delhi-NCR region.The analysis of the survey was processed through WEKA software.The survey concluded the aftermaths of technology as undergraduate students are more prone to spend above 90% of their time on their smart phones utilizing the internet facilities mainly from home.
Research Guides: Master of Applied Data Science (MADS): Background Information

Suggested library resources for students in the U-M School of Information's online Master of Applied Data Science program. Find reference sources for in-depth background or overviews of topics in applied data science.
Безаберрационная ширина углового спектра зондирующего слоистый объект поля в конфокальной микроскопии

The effect of the numerical aperture of a light beam probing an object on the value measured by a confocal interference microscope when determining the thickness of a layered object for the case of a significant effect on the signal of the spherical aberration arising in the probe beam at its propagation through an object has been theoretically and experimentally investigated. Taking into account the influence of spherical aberration on the signal the dependence of the measured value on the numerical aperture has been obtained. The criterion of the “aberration-free” propagation of the beam probing an object has been established and the condition under which the effect of spherical aberration on the signal of a confocal microscope can be neglected has been determined. An approximate analytical expression which allows to determine the “aberration-free” width of angular spectrum of the probing light beam taking into account the empirical correction factor has been obtained. The limits of applicability of the analytical dependence of the measured value on the numerical aperture, which was obtained earlier for the case of negligible influence of spherical aberration on the signal of a confocal microscope, have been determined.
USING AN ONLINE FORUM TO ENHANCE THE LEARNING OF SPANISH GRAMMAR AS A SECOND LANGUAGE

This study presents e-learning methods for learning grammar that can provide more contextualization and meaning than explanations in traditional textbook, thus enhancing second language students' active and interactive learning of Spanish grammar.An online forum shared among students in a class is used to share interview reports with native speakers and to respond to the reports of the classmates using the target grammar -infinitival complements in Spanish-as a second language.
Assessment of parameters and distribution of extremely heavy-rainfall events that occur several times per year

Applied analyses of a number of datasets containing several highwater-forming storm rainfall events (intense rain for short time periods) per year are examined. The use of data containing several events per year is demonstrated as justified for reliable determination of statistical properties of time series derived from short observation periods. The statistics of time series containing one to several events per year in the Ural Mountains are shown to be well correlated with the frequency of the observed events. Recommendations for recalculation of the time-series statistics containing several events per year versus statistics for one event per year were developed, and a brief comparative analysis of the methods used in Russia is provided.
Data Operation with Regular

Regular expressions have aided as the central workhorse of practical information withdrawal for several years.The tricky of mining knowledge from huge volumes of unstructured textual info has developed increasingly significant.A vast class of element extraction activities from content that is either semi structured or completely unstructured might be inclined to by general expressions, on the estates that in frequent useful cases the suitable substances take after a basic grammatical example and this example maybe represented by a ordinary expression.The long-standing problem of manufacturing such expressions mechanically, based solely on examples of the desired behavior.To avoid this problem implement we are consuming Regex to predict a creative method of data or text handling in the flat files.Hence an enhanced files operation method in the text file can place a huge influence in the path of up gradation of the flat.
LibGuides: Drama: Find eResources

This Research Guide provides information about drama and theatre resources found in the CCCC libraries and online. Use reference materials to gain background information on your topic.
An augmented reality (3) - the proposed regulatory body

This chapter focuses more upon the regulatory oversight of the proposed systems. There is a focus upon how a body, ideally a combination of the existing Copyright Tribunal and Copyright Hub, could regulate of the proposed systems. There will be safeguards implemented to prevent the regulation of the system resulting in the rise of the zone of discourse being encroached upon by the administrative core (chapter 6). The Copyright Hub, in particular, can interface closely with digital technologies through licensing platforms – and this may have consequences for the future direction of regulation. It means that regulation can focus specifically on particular uses, which might potentially impinge upon the traditional creative ‘wriggle room’ that copyright law - and indeed, many other areas of law – provided. The impact of this will be considered, and safeguards against the removal of this traditional ‘space’ are put forward. This chapter will involve consideration of the recent developments concerning “identifiers” and content management information (CMI), alongside digital watermarking. These areas are becoming ever more important within newer technologies such as 3D printing and augmented reality.
A novel data aware task clustering mechanism for scientific workflow applications in cloud

Scientific applications modelled as directed acyclic graphs (DAGs) are composed of complex calculations and a large amount of data transfer. It is very difficult to execute these applications on traditional distributed computing platforms. For such applications, cloud provides a reliable solution due to its unique characteristics, task clustering is performed which combines two or more tasks into a single executable unit. Task clustering can help to reduce the system overheads such as queue delay, engine delay and so on. Existing clustering algorithms in this domain focus more on computational granularity of the tasks without considering the data dependency among the tasks. In this paper, a data aware clustering algorithm has been proposed which combines the tasks depending on the size of data transferred between interdependent tasks. Experiments were conducted to compare the proposed clustering algorithm with the existing baseline and balanced clustering algorithms and it was observed that proposed algorithm gave better makespan and cost for data intensive workflow applications.
MODEL OF PROFESSIONAL COMMUNICATIVE COMPETENCE OF FUTURE SPECIALIST OF SOCIONOMIC PROFILE

Якимчук Б
A Generalization of OpenStack for Managing Heterogeneous Cloud Resources

This paper describes the generalization of OpenStack cloud resource management software to manage hardware resources other than the standard resources on the servers. To this end, OpenStack resource data structure is updated and the Nova project, which runs on the compute node, is rewritten so that it can run on different hardware platforms without depending on the operating system.
Uyghur short-text classification based on reliable sub-word morphology

In this paper, we research some short-text classification methods for a low resource language combined with reliable stemming and term extraction methods. Uyghur is a morphologically rich agglutinative language in which words are formed by a stem attached by several suffixes, and this property causes infinite vocabulary in theory. As the stems are the semantic entities, stem based text classification is the promising way for the low resource morphologically derivative languages. And it is also an efficient way in NLP to extract and predict out-of-vocabulary (OOV) and misspellings based on context information. The word (or stem) - vector-based morphological analysis incorporating stem-vector to text classification is a novel approach for the Uyghur language. Our stemming method extracts noisy stems robustly and decrease the particle lexicon to 1/3 of word lexicon and improve the coverage, thus suited for small corpora with high OOV rate resources. And the highest accuracy of 93.5% is obtained in nine categories of short texts based on stem-vector with CHI-2 (x2) feature.
USING RESTATE, ANSWER, PROVE, SUM UP (RAPS) TECHNIQUE TO IMPROVE DESCRIPTIVE TEXT WRITING SKILL

Writing is one of the four language skills that is viewed as the most difficult skill to be mastered. The seventh graders of MTs Negeri 2 Kota Magelang in the school year 2018/2019 are ones of those who face some difficulties in writing descriptive text. RAPS is offered as a technique to improve their learning motivation and skill in writing descriptive text. The objectives of this research are to know whether the use of RAPS technique can improve the learning motivation of writing descriptive text of the seventh graders of MTs Negeri 2 Kota Magelang in the school year 2018/2019 and to know how great the improvement of descriptive text writing skill of the seventh graders of MTs Negeri 2 Kota Magelang in the school year 2018/2019 after the implementation of RAPS technique. The writer did the research through three phases; they are Pre- Cycle, Cycle 1, and Cycle 2. The data of this research are collected from the students’ written test, questionnaire, observation, and documentation. All the data are analyzed using both qualitative and quantitative data analysis technique. The result of research shows that RAPS technique give great improvement on the students’ learning motivation and skill in writing descriptive text.
INHIBITING FACTORS IN ENGLISH SPEAKING; A CASE STUDY AT SMKN 7 KABUPATEN TANGERANG

The objectives of this study were to find out (1) the factors that inhibit in students’ speaking made by the tenth grade of SMKN 7 Kabupaten Tangerang and (2) the teachers’ strategies to reduce the factors that inhibit in students’ speaking. This research used qualitative method with case study design. To collect the data, the researcher s used observation, documentation, closed-ended questionnaire, and interview for the students and teacher. The data analysis shows that there were a number of problems to speak English by students caused by some inhibiting factors such as cognitive factors and affective factors. From the data result, it showed that mostly problems caused by pronunciation, self-confidence, incorrect grammar, and lack of vocabulary. In addition, 90% students mentioned that pronunciation become the main problem that inhibited students in speaking English. This study suggested some strategies to overcome these difficulties such as practice to speak English intensively inside and outside to the classroom, creating a relaxing learning environment to communicate in English bravely and teach them the way to read phonetic symbols.
Blockchain business networks : Understanding the value proposal within centralized and decentralized governance structures

Purpose – increasing the understanding of what distinguish a decentralized from a centralized blockchain business network and identify its value creating mechanisms. To fulfill this research purpos ...
انقرائیة الانفوجرافیک فی المواقع الصحفیة المصریة لدى الشباب الجامعى

ملخص تهدف الدراسة الى التعرف على مدى انقرائية الشباب الجامعي البيوغرافية والجرافيکية للانفوجرافيک في المواقع الصحفية الالکترونية المصرية، تسعى الدراسة الى محاولة الإجابة على عدد من التساؤلات والفروض منها توجد فروق ذات دلالة إحصائية بين انقرائية الشباب الجامعي البيوغرافية والجرافيکية للانفوجرافيک في المواقع الصحفية المصرية محل الدراسة. کما اختار الباحث ثلاثة مواقع صحفية مصرية لتصميم مقياس الانقرائية من نماذج الانفوجرافيک التي تستخدمها وهى : موقع البوابة نيوز ، موقع مبتدأ ، موقع اليوم السابع .واعتمدت الدراسة على عينة عمدية من الشباب الجامعي يتعرضون للانفوجرافيک بالمواقع الصحفية ،وبلغ حجم العينة 200 مفردة  هذا وقد استخدم الباحث أداة المقابلة المقننة وذلک لجمع البيانات الخاصة بالدراسة ، وقد توصلت الدراسة الى العديد من النتائج منها وجود فروق ذات دلالة إحصائية بين متوسطات انقرائية الشباب الجامعى التيبوغرافية والجرافيکية للانفوجرافيک في المواقع الصحفية المصرية محل الدراسة وفقا لنوع الانفوجرافيک. Summary Hany Ibrahim Ahmed El-Batal Assistant Professor of journalism- Educational media department -Faculty of Specific Education - Port Said University The study aims at identifying the extent of the topographic and graphic readability of the infographic in the Egyptian electronic newspapers websites among university students. Moreover, the study aims to answer a number of questions and hypotheses such as there is statistical significant differences between students' topographic and graphic readability of the infographic. The researcher chose three Egyptian newspapers websites namely; Al-Bawaba News, Al-Mabtada, and the seventh day, in order to design the extruding scale of the readability through the infographic models used by them. The study relied on a purposive sample of university youth (N= 200 students) who exposed to the infographic in these newspapers websites in which data collected through structured questionnaire. The study reflects several significant differences between the means of university students' topographic and graphic readability of the infographic according to its type