Reviewerly/exHarmony huggingface dataset:
The Coordination Between Pedal and Finger Forces During Piano Playing in Classical Passage With Respect to the Quality of Sound

In this paper, an irreversible port-Hamiltonian formulation for 1D compressible Newtonian fluids is presented. We separate the fluid dynamics into reversible and irreversible parts. Given the compressibility assumption, we define a state-dependent matrix that modulates the skew-symmetric operators that describe the irreversible part of the fluid dynamics. As a result, we obtain an energy-based formulation that reflects appropriately the first and second laws of Thermodynamics.
Poor Man’s Virtual Camera: Real-Time Simultaneous Matting and Camera Pose Estimation

Today's film and advertisement production heavily uses computer graphics combined with living actors by chroma keying. The matchmoving process typically takes a considerable manual effort. Semiautomatic matchmoving tools exist as well, but they still work offline and require manual check-up and correction. In this paper, we propose an instant matchmoving solution for green screen. It uses a recent technique of planar uniform marker fields. Our technique can be used in indie and professional filmmaking as a cheap and ultramobile virtual camera, and for shot prototyping and storyboard creation. The matchmoving technique based on marker fields of shades of green is very computationally efficient: we developed and present in this paper a mobile application running at 33 FPS. Our technique is thus available to anyone with a smartphone at low cost and with an easy setup, opening space for new levels of filmmakers’ creative expression.
Visualizing Data in Software Cities

The ninth IEEE Working Conference on Software Visualization (VISSOFT 2021) builds upon the success of the previous eight editions of VISSOFT, which in turn followed after six editions of the IEEE International Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) and five editions of the ACM Sympo0sium on Software Visualization (SOFTVIS). In 2021, VISSOFT will take place and be co-located with ICSME.
Simply analysis of Orff “elementarius” music as Practice in the Preschooler’s music education

In 1980s, German Orff music teaching method was introduced to China, which has been widely used now for chidlren’s early education after years of promotion. Currently, music education is being innovated with the further reform on educational system, which provides a broad platform for the development of Orff education. For the “elementarius” music ideology held by Orff, it provides a new ideology for children’s music education. This paper consists of preface, body and conclusion. In Chapter 1, it defines Orff elementarius music, preschool children and music education etc.; in Chapter 2, combined with the cases about children’s music teaching, lessons “elementarius” music is stated in three aspects --- rhythm, music reading and music sensation; meanwhile, it describes many factors combing with teaching, and then it analyzes and studies the reason of elementarius music for appearing; in Chapter 3, it makes a conclusion and introduces the meaning of this study.
Firestop seals cablesin bulkhead entriesabove the waterlineon ships

The GK Firestop sealing kit from Sweden's Roxtec Group makes it quick and easy to ensure certified fire protection in deck and bulkhead entries above the waterline on rigs, platforms, ships and vessels.
A descent-like method for fixed points and split conclusion problems

In this paper, a descent-like method is introduced for solving a fixed point problem of a strict pseudocontraction and a split variational inclusion problem.A strong convergence theorem of common solutions is established in the framework of Hilbert spaces without any compact assumptions on any mapping.
An Efficient Suicide based Dataset using Machine Learning Algorithms

A study is presented on analyzing the major factors that affect the number of suicides in different parts of India from year 2000 to 2012 and using them to predict the number of suicides in the future. By analyzing the data and predicting the major causes of suicides it can help government to know which part of population is most affected, so that the government can provide required steps to avoid suicides. The Indian government records the database of each suicide occurs in India. Along with the age-group, cause of death, state of victim, this data was made public by crime branch bureau of the data analytics purpose. Relationship will be made between the different features of suicide so that a linear relationship can be formed with the help of linear regression and other machine learning algorithms will be used to develop a model for the prediction of number of suicides in the future. It has been found that the results obtained by machine learning algorithms are more accurate when compared with the traditional algorithms.
<i>Tangible Tetris</i>

Tangible Tetris is a mixed-reality interactive game allowing play with a physical transformable tetromino in a virtual playfield. The extension from game world to the physical brings plenty of new characteristics, strategies and fun to the classic game, as well as more possibilities in interactive art.
International Conference on Applied Sciences ICAS2020

International Conference on Applied Sciences ICAS2020 took place in Hunedoara, Romania, in the period May 20–22, 2020, at the Engineering Faculty of Hunedoara, with the aims to serve as a platform for exchange of information between various areas of applied sciences, and to promote the communication between the scientists of different nations, countries and continents. Because of the Coronavirus pandemic, all sessions of the conference have been organized on-line. This edition of the conference has been dedicated to the Centenary of the University Politehnica Timisoara and to the Semi-centenary of the Faculty of Engineering of Hunedoara . List of Honorary Committee, Organizing Committee and Scientific Committee are available in this pdf.
Stance Detection using Extreme Learning Machine with Improved Agglomerative Hierarchical Clustering on Social Network

People can communicate and exchange their views through online social networks and it laid the host for the online social groups. Among numerous groups: privacy violation, groups with no choices of opt-in, disorder were the main problems, which inhibit security of the user and comfort, and we consider user as the member so managing the group principles becomes tedious one. The stylistic, thematic, emotional, sentimental paves the ways for clustering the posts within the group and psycholinguistic rectify these major problems. Stance detection has recently gained significant attention in research and it is sentimental clustering, further it forms a primary segment of the larger research challenge posed from Facebook groups. Recognizing the position of certain Facebook, with regard to the topics given, from user-made text was the main issue addressed in this work. Preprocessing, keyword extraction, stance detection using ELM and clustering using IAHC algorithm were there in this system. Initial one (pre-processing) helps to eliminate the unnecessary data and further assist us to enhance the clustering accuracy in the given dataset. Then for choosing the prominent keywords based on the frequent terms, the keyword extraction was done. Then for classifying neutral and non-neutral posts, Extreme Learning Machine (ELM) paves the way. Further, personal posts are categorized to be positive vs. negative. The members of the group were classified, based on the response to the post of various features. This classification fulfills the performance of huge members present in a strong group by executing the clustering on the basis of linguistic characteristics. For providing sentiments that depend on the posts and the response given by users for the posts, then enhancing the performance of the system, Improved Agglomerative Hierarchical Clustering (IAHC) was established. As observed from the experimental analysis, it is proven that the proposed ELM with IAHC algorithm yields higher performance when compared with the existing methods.
Ensemble Classification Algorithms for Breast Cancer Prognosis

Breast Cancer is the second highest reason for the death rate among women as well as men too in world. In this paper, we used Data mining classification algorithms to find the presence of breast cancer whether it is benign or malignant and analysis is done on the basics of accuracy and time taken in build model. The data is collected from WISCONSIN of UCI machine learning Repository, which includes patient’s samples. The dataset undergoes different algorithm with and without feature selection.
PyTorch YOLOv3 Object Detection for Vehicle Identification

Detecting real-world vehicle objects captured from car-mounted cameras requires manual labelling of video images. Previous vehicle object detection papers such as the winners of the 2018 AI City Challenge [1] used a training set of over 4,500 hand labelled images. In this paper, we attempt to automate this task by applying transfer learning to a YOLOv3 model trained on Imagenet and then re-trained on a set of stock car images and a small subset of hand labelled images taken from front-mounted dashboard camera videos. The mean Average Precision (mAP) of the validation set is used to determine the effectiveness of model vehicle classification. There is a significant variance issue between the validation and training set because the video images are taken in 1) various weather and lighting conditions and 2) the stock images have different image perspectives. The experimental results demonstrate that the YOLOv3 model can reach an overall 16.07% mAP after 60 epochs of training and can identify classes of vehicles that had few training examples in the dataset
Personality Test

Research Article| May 01 2019 Personality Test Thomas Higgins Thomas Higgins Thomas Higgins is a graduate student at Villanova University. Search for other works by this author on: This Site Google the minnesota review (2019) 2019 (92): 23–24. https://doi.org/10.1215/00265667-7329080 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Thomas Higgins; Personality Test. the minnesota review 1 May 2019; 2019 (92): 23–24. doi: https://doi.org/10.1215/00265667-7329080 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll Journalsthe minnesota review Search Advanced Search The text of this article is only available as a PDF. Copyright © 2019 Virginia Tech2019 Article PDF first page preview Close Modal You do not currently have access to this content.
OCR rules university engaged in interactive process

Case name: Letter to: American Public University , No. 03‐19‐2152 (OCR 11/18/19).
Efficient Image Restoration Methods for Image Recovery

Image Restoration is the one of the significant techniques to process an image. The process of taking a noisy image and obtaining the clean, original image is called as image restoration. This process is applied in every field where images have to be understood and analyzed. Image restoration is a method of recovering an original image from a degraded image. To restore corrupted image into its original form restoration techniques are used. The restoration techniques mainly focused to improve the image quality. Usually image processing techniques are implemented in the two domains, they are frequency domain or spatial domain. This paper mainly focused on different approaches to restoration, variations between frequency domain methods and spatial domain methods. Especially the relation between spatial and frequency resolutions and various filters in spatial and frequency domain. The present work shows the performance of different kinds of filters and these filters are analyzed by implementing and simulating on MATLAB.
Metamorphism of Pelitic Rocks

This second edition is fully updated to include new developments in the study of metamorphism as well as enhanced features to facilitate course teaching. It integrates a systematic account of the mineralogical changes accompanying metamorphism of the major rock types with discussion of the conditions and settings in which they formed. The use of textures to understand metamorphic history and links to rock deformation are also explored. Specific chapters are devoted to rates and timescales of metamorphism and to the tectonic settings in which metamorphic belts develop. These provide a strong connection to other parts of the geology curriculum. Key thermodynamic and chemical concepts are introduced through examples which demonstrate their application and relevance. Richly illustrated in colour and featuring end-of-chapter and online exercises, this textbook is a comprehensive introduction to metamorphic rocks and processes for undergraduate students of petrology, and provides a solid basis for advanced study and research.
A Probabilistic Profile Reliability Approach to Improve the Richness of User's Interests Based on Social Information

The user requires personalized information that depends on his/her current profile information (needs, interests, preferences, etc.). Interests are the most important information of the user’s profile. There are many sources which may provide beneficial information to model the user’s interests, such as social neighbors’ profiles.However, the latter may provide conflicting interests (erroneous, duplicated, out of date, ambiguous,etc.) and consequently they can be considered as non-reliable sources. In this paper, we propose aprobabilistic approach to handle conflicts by detecting reliable profiles so as to improve the richness of user’sinterests. Our approach is different from those that are previously proposed as it takes into account the organizational aspects of interests in terms of their evolutionary aspect (freshness and popularity) as wellas their semantic relationships. Our experiment was conducted in a social-learning context in order to take the case of the improvement of the learner’s profile content based on his/her social network. The experiment led to satisfactory results.
A Sketch-Line Interaction Model for Image Slice-Based Examination and Region of Interest Delineation of 3D Image Data

This thesis explores the effectiveness of a novel interaction model for visualizing 3D image data. The interaction model is based on user-sketched line segments known as
Lighter touch

Early Years EducatorVol. 21, No. 8 EditorialLighter touchKaren FauxKaren FauxeditorSearch for more papers by this authorKaren FauxPublished Online:13 Nov 2019https://doi.org/10.12968/eyed.2019.21.8.5AboutSectionsView articleView Full TextPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View article FiguresReferencesRelatedDetails 2 December 2019Volume 21Issue 8ISSN (print): 1465-931XISSN (online): 2052-4617 Metrics History Published online 13 November 2019 Published in print 2 December 2019 Information© MA Education LimitedPDF download
Security Enhancement in Cryptography for Mobile Device Outsourced in Cloud Computing

Mobile devices often store data in cloud computing storage based on the increasing availability of the users. But security is the major issue in cloud computing. Sensitive information is stored and provided across internet to make sure that the data is protected with security. In this paper, the concept of data privacy is given more importance with regard to the major problem of reducing outsourced data usage. Mobile computing has memory storage and power resources as limitations. But cryptography is a concept which provides some sort of security enhancement that ensures the authentication and the availability of data integrity with confidentiality. Certain algorithms are used for ensuring an increase in security such as AES, DES, and Blowfish. Experimental results are computed and analyzed to level up the performance using cryptographic algorithms. Results are shown in order to assure resistance among the above techniques. Choosing an apt algorithm will quench the requirements of the future.
The role of transformational leadership in reinforcing product and service innovation: Job satisfaction as a mediator

Purpose This purpose of this study is to examine the role played by transformational leadership in reinforcing product service and innovation and the mediating effect of job satisfaction. Design/methodology/approach Data was gathered from the responses of 486 employees working in three telecom companies providing mobile phones and internet services in Jordan to a questionnaire survey and from semi-structured in depth interviews with 15 team leaders. Findings The results suggest that all four aspects of transformational leadership behaviors are positively and directly associated with product and service innovation. In addition, transformational leadership behaviors have a positive and direct effect on job satisfaction. Finally job satisfaction does act as mediator between transformational leadership and innovation. Practical implications Therefore for organizations to improve performance and encourage innovative behaviors middle management and employees should be trained to use a transformational leadership style and measures to improve job satisfaction should be put in place. Originality/value This paper adds to the understanding of how leaders can develop innovation through developing appropriate workplace cultures and conditions. 10; 10.
Analytic Functions

This user-friendly textbook introduces complex analysis at the beginning graduate or advanced undergraduate level. Unlike other textbooks, it follows Weierstrass' approach, stressing the importance of power series expansions instead of starting with the Cauchy integral formula, an approach that illuminates many important concepts. This view allows readers to quickly obtain and understand many fundamental results of complex analysis, such as the maximum principle, Liouville's theorem, and Schwarz's lemma. The book covers all the essential material on complex analysis, and includes several elegant proofs that were recently discovered. It includes the zipper algorithm for computing conformal maps, as well as a constructive proof of the Riemann mapping theorem, and culminates in a complete proof of the uniformization theorem. Aimed at students with some undergraduate background in real analysis, though not Lebesgue integration, this classroom-tested textbook will teach the skills and intuition necessary to understand this important area of mathematics.
Compatibility of Imbalanced Classification Perspectives and Process of RF Algorithm

Several ML models were qualified to utilize a combo of good (training class: "regular") as well as human-made (lesson: "suspicious") metadata for approximately 5 million log files. The metadata for "typical" files was removed from the schema of genuine historical log documents that carry out not consist of "sensitive" or even "restricted" information. The metadata for very likely "questionable" documents was substitute via artificially infusing building offenses that are certainly not observed aware "regular" log files. Checking result shows that the ensemble random forest algorithm excelled svm and further classification algorithms in both functionalities as well as precision in the unbalanced information, and it works for strengthening the accuracy of item marketing matched up to the conventional simulated technique. This paper gives random forest algorithm for both classifications as well as regression.
An Interactive Animated Comic of Paedophile Awareness for Children

Paedophile is an issue that can cause nightmare to children who have become victims as they are likely to suffer physically and emotionally for the rest of their lives. Paedophile awareness is still generally low among Malaysians, especially children, that a creative and attractive method is required to deliver the crucial message. This research focused on the integration of animated comic and interactive multimedia using storytelling elements to create awareness about paedophile. Scenes embedded with the message are put into comic form to attract children’s attention and increase their understanding. Therefore, this study aims to develop an interactive application, called ‘i-ComPedo’ (Interactive Animated Comic of Paedophile Awareness among Children. The study adapts 3-phases research activities for the research methodology, which are analysis and design, development and testing. In order to evaluate the usability of ‘i-ComPedo’, this study conducted usability that involved primary school children. The usability test revealed that 91.3% of the children perceived ‘i-ComPedo’ as an interesting, understandable, user-friendly courseware. As a conclusion, an interactive animated comic has been developed to offer a new and innovative approach in instilling awareness among children about paedophile.
Word Automation

Microsoft Word is the most popular and universal word processing program used in organizations across the world. Word is often utilized for creating legal documents, financial files, and procurement documents and customizing templates and requirements documents. UiPath StudioX Word automation provides citizen developers with automation capabilities for critical tasks like reading content, writing text, adding images, inserting tables, exporting as PDF, and creating HTML-rich email bodies, for example, to ones that include tables, signatures, or logos.
On the Reform of the Course Stratified Examination Based on the Characteristics of Higher Vocational Students

Under the background of popular education in higher education institutions, the trend of enrollment system reform and diversification of students sources in higher vocational colleges is intensifying, and the differences of students' learning and ability level are becoming larger and larger. Many new characteristics have emerged in Higher Vocational students' learning and classroom. In order to adapt to the characteristics of the current higher vocational students, improve the learning effect and give full play to the functions of the examination, this paper breaks the routine, applies the examination according to their aptitude, actively innovates the method of the course examination, and summarizes the method of the course stratified examination suited to the characteristics of the students. This method is suitable for the learning needs of students at different levels, allows students to have greater autonomy and selectivity, and is conducive to the improvement of teaching quality.
Probability Space

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Representations

This chapter discusses various representations of set functions with a view toward practical applications of fuzzy measures. This includes Möbius and interaction representations, as well as vector representations that allow various calculations to be performed systematically and efficiently using software. Fuzzy measure transformations between the different representations in matrix-vector form are specified, which are also convenient for computer implementation. Lastly we address the marginal contributions representation and express various quantities with its help.