Reviewerly/exHarmony huggingface dataset:
Finite element simulation of reed-resonator coupling: The khaen pipe as an example

Recently some work has been done on the coupling of a free reed to a resonator using finite element modeling software. This has been focused primarily on the pipes of the khaen, a Southeast Asian free-reed bamboo pipe instrument. The broad goal is realistic modeling of an air-driven reed by simulating fluid-structure interactions in conjunction with air flow and pressure fluctuations. In the current study, coupling between the reed and the resonator has been explored and compared for cylindrical cross-section pipes, including khaen pipes, as well as for Helmholtz resonators. The effects of pressure and fluid flow on the reed motion were studied, and reed-resonator coupling explored for both the Helmholtz resonator and khaen systems. Reed vibration and sound radiation have been analyzed and compared to published models. Preliminary results are realistic, including the sound radiation pattern from a reed driven khaen pipe. Some were unexpected, including a relatively large role of the second transverse mode of the reed tongue. Some unresolved discrepancies remain between results for laminar flow models and pressure physics models, which are the subject of ongoing work. Future goals include modeling a reed-driven simulation of the complete khaen instrument system.
Non-Redundant Contour Directional Feature Vectors for Character Recognition

This paper presents a novel shape based feature for printed character recognition. The shape features are derived from the contour of the character which is unique to all characters. Preprocessing is performed to standardize the characters and handle all variations such as bold, italics and bold-ita
Analisis Sistem Informasi Akuntansi Atas Pengajuan dan Pembayaran Employee Claim Pada PT. XYZ

Abstract - This research is motivated of a problem in the implementation of accounting information systems division at PT.XYZ employee claims that resulted in the payment of claims of employees hampered operations and making monthly reports late so in accordance with a predetermined schedule. This research uses a qualitative research method with ethnometodology approaches. For collected the data, this research uses a interview, observation, and documentation. The findings indicate that the cause of delay in the payment of claims and report each month is a problem in the system that are not terinterface Mobile xpense to the SAP system as well as the cause of delay in processing a claim is because there are employees who do not understand and adhere to standard operating procedures applied in PT. XYZ.
A Large-Scale Analysis of Cross-lingual Citations in English Papers

Citation data is an important source of insight into the scholarly discourse and the reception of publications. Outcomes of citation analyses and the applicability of citation based machine learning approaches heavily depend on the completeness of citation data. One particular shortcoming of scholarly data nowadays is language coverage. That is, non-English publications are often not included in data sets, or language metadata is not available. While national citation indices exist, these are often not interconnected to other data sets. Because of this, citations between publications of differing languages (cross-lingual citations) have only been studied to a very limited degree. In this paper, we present an analysis of cross-lingual citations based on one million English papers, covering three scientific disciplines and a time span of 27 years. Our results unveil differences between languages and disciplines, show developments over time, and give insight into the impact of cross-lingual citations on scholarly data mining as well as the publications that contain them. To facilitate further analyses, we make our collected data and code for analysis publicly available.
COMBINED HIERARCHICAL AND K-MEANS METHOD FOR EFFECTIVE RETRIEVAL OF IMAGES

Image retrieval is one of the most important aspects in image processing. In recent years more number of approaches has been widely used for content based image retrieval. In content based image retrieval the images are retrieved depend on their matches from the dataset. The image features such as color, shape and size features are considered for effective retrieval. During image retrieval one of the features is identified and based on that search executes. Here for more number of images to reduce the search time first the images which are most relevant to the search image is grouped and the negative images (which are not closest to the search image) are removed. From the grouped images the retrieval is achieved.
Meta-dating the PArsed Corpus of Tibetan (PACTib)

This paper presents PACTib, the PArsed Corpus of Tibetan.This new resource is unique in bringing together a large number of Tibetan texts (>5000) from the 11th century until the present day.The texts in this diachronic corpus are provided with metadata containing information on dates and patron-/authorship and linguistic annotation in the form of tokenisation, sentence segmentation, part-of-speech tags and syntactic phrase structure.With over 166 million tokens across 11 centuries and a variety of genres, PACTib will open up a wide range of research opportunities for historical and comparative linguistics and scholars in Tibetan Studies, which we illustrate with two short case studies.'I have eaten the food' (Tournadre and Dorje, 2003, 165)
The Construction Method of English Writing Teaching System based on English Composition Intelligent Evaluation System

In order to make a great development of English teaching and learning in China, and in order to improve students' autonomous learning ability, this paper figures out a novel construction method of English writing teaching system based on English composition intelligence evaluation system. This construction method combines a variety of advanced technology and the constructivism language learning theory. The result of this research indicates that the construction method have high feasibility and validity, which is worth popularizing broadly.
LibGuides: Library automation machine @ VinUni Library: Home

You can use the self - check machine on either the 1st floor or the 2nd floor to borrow or return print books. The 24/7 book return machine at the library main entrance is just for checking in books only.
A neuro-inspired binocular stereo vision system that uses texture boundaries for corresponding point search

We developed a binocular stereo vision system inspired by disparity detection cells in the early visual cortex. This system consists of two image sensors, field-programmable gate arrays (FPGAs) and a personal computer (PC). We developed an algorithm that searches for corresponding points from the left and right visual inputs using spatial changes in spatial frequency in order to avoid false matching of visual features with spatial repetition. We also implemented a part of the algorithm in the FPGA in order to perform spatial processing efficiently. We evaluated the performance of the system by presenting visual stimuli consisting of sinusoidal gratings with different spatial frequencies for the background and the object. The system was successful in detecting depth from local changes in spatial frequency without causing false matching.
Introducing Concept of Equilibrium in Primary School Physics Class

We say that an object is in equilibrium if it does not accelerate. The conditions for keeping the body in equilibrium are that both, the net force and the net torque, acting on the object are zero. Although students are very familiar with equilibrium in their everyday life, they do not have the scientific knowledge about this concept and often misconceptions are formed. It is advisable that physics teachers help students in the formation and development of the scientific concept of equilibrium with the help of examples from everyday life with additional explanations, using simple experiments and new technologies. Selected everyday life examples, simple experiments and PhET simulations, as well as idea for creating multimedia quiz, will be presented in this paper. For example, teacher can take students to the playground and they can learn about equilibrium experimenting on the seesaw. Similarly, students can use ruler and paperclips to make balance and carry out different simple experiments. Moreover, students can try to keep body in equilibrium by changing the intensity or direction of the forces acting on it. There is also available PhET simulation for inquiry Balance. Presented ideas of teaching students about equilibrium can help in detecting students' misconceptions, as well as in formation scientific concept of equilibrium.
Effective image retrieval method of natural images in a large database using fuzzy class membership

We describe the improvements of the content-based image retrieval (CBIR) system using a fuzzy class membership for the natural-color images. The fuzzy class membership-based retrieval (CMR) framework has shown promising improvements on texture databases by exploiting confidence in classification using a multilayer perceptron (MLP). CMR is known to improve the average precision of retrieval along with modest variance, and the framework is not restricted to any particular feature set. However, their efficacy is not known for natural colored images. In the proposed approach, we have added a new classifier, radial basis function network, in place of MLP in the CMR framework. We show a way to adapt a new classifier in the fuzzy CMR framework. Comparison with state-of-the-art CBIR systems shows that the proposed modifications have an edge over its competition in terms of precision for four popular image databases: viz. Corel-1k, Corel-5k, Corel-10k, and CIFAR-10.
Formalizing Bitcoin Crashes with Universally Composable Security

Bitcoin has introduced an open and decentralized consensus mechanism which in combination with an append-only ledger allows building so-called blockchain systems, often instantiated as permissionless cryptocurrencies. Bitcoin is surprisingly successful and its market capitalization has reached about 168 billion USD as of July 2020. Due to its high economic value, it became a lucrative attack target and the growing community has discovered various flaws, proposed promising improvements, and introduced contingency plans for handling catastrophic failures. Nonetheless, existing analysis and contingency plans are not formalized and are tailored only to handle a small subset of specific attacks, and as such, they cannot resist unexpected emergency cases and it is hard to reason about their effectiveness and impact on the system. In this work, we provide a formalized framework to help evaluate a variety of attacks and their mitigations. The framework is based upon the universal composability (UC) paradigm to describe the attacker’s power and the system’s security goals. We propose the system in the context of Bitcoin and to the best of our knowledge, no similar work has been proposed previously. Besides, we demonstrate and evaluate our model with case study from the real world. Finally, we signal remaining challenges for the contingency plans and their formalization.
Jocaxian Protection for Database Passwords

We will show a new database password protection method that can be used in programming languages specially in those that are interpreted where the executable code is humanly readable as well being able to leave the database password exposed with the risks of information theft and data changes.
The C Language

C is one of the most commonly used programming languages. In fact, we have already made extensive use of a C program. The standard implementation of the Python interpreter is written in C.
A PILOT STUDY ON THE FACTORS AFFECTING ON THE USAGE OF TABLET PCS IN EDUCATION IN THE TIME OF COVID19

A PILOT STUDY ON THE FACTORS AFFECTING ON THE USAGE OF TABLET PCS IN EDUCATION IN THE TIME OF COVID19
Interaction-induced topological phases of photons interacting with atoms

We study topological phases of quantum light in waveguides coupled to qubit arrays. We predict interaction-induced localization and quantum Hall phases in simple periodic arrays and radiative topological biphoton edge states in spatially-modulated arrays.
Effectiveness of E-Archives As A Media Of Information Technology Based Data Management In Universitas Lancang Kuning

Badan Penjaminan Mutu of Universitas Lancang Kuning (BPM UNILAK) is an agency that is tasked with organizing an internal quality assurance system (SPMI) and an external quality assurance system (SPME) or what is also known as accreditation, but in managing documents related to SPMI data and accreditation not yet There are information technology-based media that can be utilized in the implementation of these activities, while BPM UNILAK has implemented information technology in daily activities so that there are problems with delays in data presentation, missing data, this, of course, affects the performance of the Quality Assurance Agency and is inefficient in presenting information that is needed at any time and the importance of this activity is very high in building a quality culture at Universitas Lancang Kuning. To answer these problems, it is necessary to have an information technology-based document filing system that can process data more quickly, precisely and integrated to make it better in presenting the information. The methods used in this study include system requirements analysis, system design, implementation and testing and system maintenance. With the use of information technology in the application of computerized-based applications for archiving and presenting accreditation data needs, it is hoped that it can help the academic community more quickly and accurately in processing accreditation instrument data. It is hoped that with the development of archiving applications and the presentation of accreditation instruments by completing the System Development Lyfe Cycle (SDLC) method in the problem analysis stage, the applications built can improve the quality of filling accreditation instruments in data processing that are well integrated and can be used at any time by the community. Universitas Lancang Kuning academics.
A Multi-Stage Hybrid Model for Odia Compound Character Recognition

The literature on Odia optical character recognition (OCR) has shown notable gains made in designing models using only 47–51 classes of Odia allographs. However, these models do not consider the compound characters that constitute about 70% of the entire Odia character system. While the frequency of occurrence of compound characters in a script is relatively less compared to basic characters, they should be taken into account for developing a robust OCR system. There are more than 400 characters that exist in the Odia language, considering both basic and compound characters, amongst which 211 classes of characters are most commonly used. The existing single-stage pattern-recognition-based models fail to recognize these classes of characters effectively. Therefore, in this chapter, a hybrid OCR model is designed to effectively recognize these character classes. The proposed model works in three different stages. In the first stage, the structural similarity index along with template matching is used to predict 20 possible classes similar to a given testing sample. The projection matching is thereafter performed to reduce the number of possible classes by a half and, finally, the actual class label is predicted using local frequency descriptor features and a general regression neural network. The proposed model is evaluated on a private dataset comprising 52,750 images from 211 classes and it achieves an overall accuracy of 90.6%. The comparative analyses exhibit the effectiveness of the proposed scheme over state-of-the-art methods.
Semi-Supervised Learning with Variational Bayesian Inference and Maximum Uncertainty Regularization

We propose two generic methods for improving semi-supervised learning (SSL). The first integrates weight perturbation (WP) into existing “consistency regularization” (CR) based methods. We implement WP by leveraging variational Bayesian inference (VBI). The second method proposes a novel consistency loss called “maximum uncertainty regularization” (MUR). While most consistency losses act on perturbations in the vicinity of each data point, MUR actively searches for “virtual” points situated beyond this region that cause the most uncertain class predictions. This allows MUR to impose smoothness on a wider area in the input-output manifold. Our experiments show clear improvements in classification errors of various CR based methods when they are combined with VBI or MUR or both.
Data of the Defense and the Defense of Data

Suppose that Bob's internet connection is running unbearably slowly and he would like a technician to drop by his home to understand and solve the problem so he can get back to streaming “Homeland....
“Internet Plus” Application in Junior Middle School English Reading Teaching—Take Zunyi No. 11 Middle School as an Example

In the context of "Internet Plus", how to teach English reading is very important. In this era of Internet development, how to use "Internet Plus" in junior middle school English reading teaching is also very important. This paper takes the students of No.11 middle school of Zunyi city as the research objects to conduct a questionnaire survey. After the survey and data analysis, it concludes that there are many problems in English reading teaching in the middle school. One is to ignore students' subjectivity; Second, the teaching mode is simple and traditional; Third, students' poor reading ability and lack of reading enthusiasm; Fourth, examination-oriented English reading teaching ignores the cultivation of students' reading ability. Finally, according to the existing problems, the application of "Internet Plus" in English reading teaching provides enlightenment and suggestions for junior middle school English reading teaching. First, access to useful reading resources through "Internet plus"; second, to conduct situational interactive learning through "Internet plus"; third, the integration of reading resources; Fourth, make use of the "Internet plus" new reading teaching mode; fifth, cultivate students' reading interest through "Internet plus"; finally, teachers carry out task-based reading teaching effectively. This paper has certain research significance, and the proposed solutions can be used to guide junior middle school English reading teaching.
Spatiotemporal security in mixed reality systems

This paper exhaustively explores the threat landscape of coordinated spatiotemporal attacks in mixed reality systems. Novel devicelevel and cross-device time translation and spatial shift attacks are launched, and their impact on deep learning based sensor fusion is evaluated. A major focus of this work is to establish stealthiness in the presence of sophisticated security mechanisms with an added constraint that mixed reality systems allow minimal time durations for covert operation. The efficacy of proposed attacks is evaluated through a preliminary study on inertial and visual data streams.
Research On The Prediction Of The Arbitration Effect Of Intellectual Property Disputes Concerning Foreign Affairs Based On Logistic Regression

Aiming at the problem that the current arbitration effect of intellectual property disputes is not good, and the prediction of arbitration effect takes too long, an optimization method based on Logistic regression method is proposed. This paper uses Logistic regression method to make a unified survey of current international intellectual property diversity disputes, so as to make an overall investigation and thematic analysis of arbitration disputes. Based on the characteristics of timeliness and regionality, this paper conducts the arbitration of intellectual property disputes, so as to improve the prediction effect of the effectiveness of the arbitration of intellectual property disputes. The experimental results show that the prediction time is short and the arbitration effect is better.
Mood Enhancer Based on Facial Expression Using Machine Learning and Virtual Assistant Technology—An Android App

Ansel Adams once said, “When words become unclear, I shall focus on the photographs.” The images hold more power of expression than words, and thus human face conveys more meaning with expression. Face expressions play an inevitable role in verbal as well as non-verbal communication. Based on same philosophy, the IT industry is also showing keen interest in developing the technology to better understand the human expressions or human emotions. Big IT giants, like Google Inc., are spending a huge portion of their budget and manpower to develop the face expression recognition (FER) systems. However, the idea of developing this area for behavioral studies and in medical rehabilitation is still a challenge. Since every face holds a different story, studying the same using existing technology and understanding toward machine learning is a vast area to develop. Thus, standardizing the facial expression understanding for the computers becomes the major issue in the current environment. ‘AI-Based Mood Enhancer—An Android App’ is an attempt to make use of machine learning and virtual assistant technology, and making the computer systems ready for better understandings on facial expressions. This would be one of its kind applications that will communicate with its users, based on the user’s facial expressions. The application, which will run on the Android mobile devices, will capture the video stream of the user’s facial expressions using the device front camera. The inputs will then be processed using the machine learning algorithms of the open-source libraries like Weka, OpenCV, Dlib, and TensorFlow Lite. The unique feature of this application is that, based on the evaluated expression classification, the application will attempt to share the dynamic response to better and enhance the user’s mood, hence named as ‘The Mood Enhancer.’
VERBAL AND VISUAL SIGNS ON ADVERTISEMENTS ABOUT ENVIRONMENT

ABSTRACT: This study aims to analyze the verbal and visual signs that appear in posters about the environment and determine the meaning behind these signs. In general, the language used in advertising posters is intended to inform the product or service and invites the public to use them. Besides language, there are also pictures on the poster that aim to attract the attention of the public. Both of these are very interesting to analyze their meaning because sometimes the writing and the images used have other meanings than the actual meaning. This research is a qualitative study, where the analysis is presented descriptively. Data was collected from 3 advertising posters about saving the environment from WWF downloaded from the Internet. Saussure's theory (1993) about semiotics is used to analyze verbal and visual signs that appear in the data source used, and the theory of Barthes (1964) is used to analyze its meaning. In general, the results obtained are verbal signs used in WWF's environmental rescue advertising posters in the form of both written phrases and sentences. Meanwhile, visual signs are images that are included in these advertisements. The meaning contained in the signs used in these advertisements tends to be connotative because it has another meaning from the real meaning.