Reviewerly/exHarmony huggingface dataset:
Deep stable neural networks: Large-width asymptotics and convergence rates

In modern deep learning, there is a recent and growing literature on the interplay between large-width asymptotic properties of deep Gaussian neural networks (NNs), i.e. deep NNs with Gaussian-distributed weights, and Gaussian stochastic processes (SPs). Motivated by empirical analyses that show the potential of replacing Gaussian distributions with Stable distributions for the NN’s weights, in this paper we present a rigorous analysis of the large-width asymptotic behaviour of (fully connected) feed-forward deep Stable NNs, i.e. deep NNs with Stable-distributed weights. We show that as the width goes to infinity jointly over the NN’s layers, i.e. the “joint growth” setting, a rescaled deep Stable NN converges weakly to a Stable SP whose distribution is characterized recursively through the NN’s layers. Because of the non-triangular structure of the NN, this is a non-standard asymptotic problem, to which we propose an inductive approach of independent interest. Then, we establish sup-norm convergence rates of the rescaled deep Stable NN to the Stable SP, under the “joint growth” and a “sequential growth” of the width over the NN’s layers. Such a result provides the difference between the “joint growth” and the “sequential growth” settings, showing that the former leads to a slower rate than the latter, depending on the depth of the layer and the number of inputs of the NN. Our work extends some recent results on infinitely wide limits for deep Gaussian NNs to the more general deep Stable NNs, providing the first result on convergence rates in the “joint growth” setting.
The most factor that influence the road accidents by using fuzzy logic method / Nuramira Omar Yahya

Accidents are nightmares for anyone who has experienced that before, no matter how bad the injury was and there is no one in this world willing to be involved in any accidents. However, changes of attitudes towards road users are an often advocated condition for improving road safety. Although various safety campaigns have been carried out in Malaysia, the attitude of reckless road users can still lead to accidents to be happened. There are factors that cause accidents and this study investigated the factor that influences the most in fatal road accidents. The factors chosen in this study are environmental error, human error, and health factor, which are gained from literature review. To perform this study well, the data were collected through an online survey, which consists of 298 respondents who have and have not experienced an accident before. An expert system has been developed by using a fuzzy logic approach to determine which one of the chosen factors is most influencing in road accidents. The results perform in the MATLAB software shows that health factor is the most influential in road accidents. Findings from this study would assist the people all around the world to stay healthy and to take care of themselves since accidents can happen anywhere.
Spatialization on grid of meteorological variables withmachine learning methods

In this thesis we will develop some machine learning methods in order to interpolate me- teorological information and distribute the knowledge in a grid over Italy. The variables analyzed in this work are the minimum and the maximum temperature and the rain, all at the ground level. To perform the spatialization of these variables we use multi linear regressions with a machine learning approach, Boost Decision Trees and Neural Networks and we compare the results obtained. A common procedure of data preprocessing with this type of variables is also widely covered. After the comparison we show some application of these methods in order to produce operative grids over Italy.
Research Guides: Using Muntz Library Online: Articles

Have questions about using the library resources or services online? This guide is here to help!
K-Means and K-NN Methods For Determining Student Interest

Putra Indonesia University 'YPTK' Padang's Department of Information Systems, Faculty of Computing Science has three specializations, namely Information Technology Management, Business Information Systems, and Industrial Information Systems. In the fifth semester, the acquisition of specializations takes place. In the next semester, the selection of specialist programs will be determined. The option of the degree is adapted to students' needs and capacities. The acquisition of results generated in the previous semester can be seen. The objective of this survey is to provide students with suggestions for the collection of degrees. The study was performed using K-Means and K-Nearest Neighbor methods to obtain the classification of students and the correlation between recent cases and past cases. This analysis uses 13 characteristics, of which 12 are predictors and 1 is the option. The test results can be used as a way to suggest the student preferences based on preset attributes through the K-Means and K-NN methods.
Library Guides: Readings Online User Guide: 2. Create/rollover reading list

Guide for academic staff using Readings Online. How to create a new reading list, or rolling over an existing reading list
Maryland State Library LibGuides: Grants for Public Libraries: Allowable & Unallowable Costs

Information on LSTA grants and other funding opportunities. These guidelines apply to all LSTA, ARPA, and CARES Act Grants
Jade Roller Skin Analyser / Husna Shafiqah Abu Backer Sidek

My business is focusing on skincare beauty devices. My product which is jade roller skin analyzer is 2 in 1 beauty device that can help to solve all my customer problems. Jade roller skin analyzer is will analyses and care for their skin, giving healthy skin, trouble free skin no matter where they are. This product is created to help all women and men that experience worries about their skin without spending so much money. This product will give a glowing skin, anti-ageing, release facial tension, reduce puffiness of the face and detect skin problems instantly by using a smart sensor which provides professional skin condition based on highly credible data obtained through advance technology. I choose the marketing concept where I achieve my company goals on knowing the needs and wants of our target markets and delivering the desired satisfaction better than competitors do. My company will do some research based on customer needs by making a survey form so that they can give opinion and suggestion on what they want to improve on our product. Besides that, we will always try to figure out their skin concerns so that we can create a product that can free their concerns.
Black hole magnetic field lines revealed in new Event Horizon Telescope image

Scientists working on the Event Horizon Telescope (EHT) have released a new image showing the magnetic fields surrounding the supermassive black hole M87*.
An Overview and Classification of Digital Image Segmentation Techniques

Images become very important part of our life because Images are used to visualize things easily. Now-a-days we can use Images for Research purpose mainly. In computer science we have to convert images in digital form and perform some operations. This process is called Image Processing. Image Segmentation is one of important operations in Image Processing. Segmentation is an operation or a process or method by which we partition an image into distinct regions. In this paper we analysis some important techniques of Image Segmentation for research purpose, and we perform a comparative analysis.
Rights Statement Selection Tool (Accessible, Screenreader-Optimized Version)

This is the accessible version of the Rights Statement Selection Tool. It translates the original, visual tool into screenreader-browsable decision tree structured by HTML 'h' tags, making it navigable and comprehensible to screenreader users. Access to this version is maintained at this URL: https://docs.google.com/document/d/e/2PACX-1vTFKT_QmWNLQZk8HWEFiFcMKnWRxK6CE3coNqmYzkki6NoCS3pWWNqQ6Me4Cyx12lYPmnT_8oUglXR_/pub?urp=gmail_link&gxids=7628
Interactive Illustration: Alternative to Release Malaysian Youngsters Stress

This project is an interactive AR poster which uses illustration to release people's stressespecially Malaysian Youngsters. People live in a busy society and every day either work orclass, don't have time to relax. This leads people to become very Irritable and leads to mentaldistress, especially young adults. Furthermore, Basic posters are not easy to attract attention.The objective focuses on the study of the convenience and benefits of augmented realitytechnology and to discover alternative illustrations can release people’s stress. There will be ARposters and one promotional video. The researcher has conducted one semi-structured interviewand one case study for an in-depth understanding of the objective of the research topic. T heresearcher had the privilege to interview Mr. Lim Jun Kit, an expert in illustration,In the future, the researcher can improve on the illustrations and add more creativity andelements in this project. And let illustrations be better integrated with AR technology. In thefuture, AR can also have more space to play and explore. It can integrate AR and VR so thateveryone can see better works.
LibGuides: Graduate Study and Research: Home

How to use the library resources in planning, researching, writing, and finishing a course paper, thesis, dissertation, and similar projects.
Literasi Internet Solusi Atasi Budaya Cyberbullying di Kalangan Remaja

The internet is a dish of technological innovation today. Cyberbullying is a network-based bullying crime by utilizing internet media. Cyberbullying is more experienced by teenage children below the age of 18 years. This study aims to determine the role of internet literacy in overcoming cyberbullying cases. This research uses descriptive qualitative method with literature study approach. The results of this study indicate the ability of internet literacy can be a real solution in preventing cyberbullying. Internet literacy education can be applied in formal institutions that are aligned with computer science subjects where students are not only able to operate but are also able to use the internet wisely, properly and correctly as a medium to meet the information needs and supporting communication media among humans.
언어평가 도구로서의 제2외국어 SNULT 문제 유형 분석 - 독일어와 일본어 시험을 중심으로

The purpose of this article is to analyze major attributes and features of different question (or item) types used in Seoul National University Language Tests (SNULT) as a way to verify the validity of these tests. A total of 50 reading and listening items each were selected from SNULT German vol. 2. (in press) and SNULT Japanese vol. 2. (2019) and then analyzed by using Bachman’s (1990) Test Method Facets framework. Results of analysis have shown that the reading and listening sections of both tests are so constructed that each question has not only various degrees of difficulties, but also focuses on measuring test taker’s ability to grasp main ideas, to understand details, and to make plausible inferences. These findings suggest that both SNULT German and Japanese tests are equipped with appropriate formats and contents for testing test-takers’ foreign language competence and therefore seen to be valid foreign language testing tools.
LibGuides: Cataloging Manual: Edit Items Records in Koha

The Northwest Arkansas Community College Cataloging Manual. After saving the record, the item record must be edited.
NVL2E - Neural Network-Based Video Feature Extraction Enabled Loss Computation to Learn and Evaluate Video Quality

There are many more needs and demands in standardizing video quality. Different models of the video collection depend on exclusive features for a particular database, because of the complicated relations among these features; we require various modes of unified symbol database representation. Sometimes the right kind of database may not be available, or it may contain very small packages. As well as the correct calculation methods that can formalize it have not been implemented. It is difficult to separate video and its quality if it has very little data and features. The steps required to detect and eliminate these defects have been identified in this proposed design using the deep learning calculation method in machine learning. This method NVL2E – Neural Network-based Video feature extraction Enabled subsequently loss computation done to learn and Evaluate Video quality deals with the calculations required to extract common features, and the extraction of its special features by the neural network. Next, these two features are combined and presented to the neural calculation for further quality checking. Later, the learned features by using neural network will be extracted to define the video quality. This allows us to see the best video quality results.
Robust Real-time Head Pose Estimation for 10 Watt SBC

Head Pose Estimation has always been an essential part for many applications such as autonomous driving and driving assist systems and hence performance optimization provides better performance as well as lower computing and power needs that allows us to run such applications over embedded devices inside these systems.In this article we present an implementation over a Single board computer for a new system of 3D Head pose estimation that estimates the Head pose of a person in realtime for applications such as Driver monitoring systems, Drones, Gesture recognition and tracking devices.The system is developed over a single board computer (SBC) that is suitable for very low powered applications, it only utilizes the data provided through the IR camera sensor to estimate both the Head and camera pose without any need for external sensors.This system will combine methods that include traditional image processing techniques for image projection, feature detection, key point description and 3D pose estimation along with Machine Learning techniques for face detection and facial landmarks detection.
Anti-Bunching of Phase Modulated Frequency-Bin Entangled Photons

We introduce a high-brightness and high-visibility source to generate and manipulate high-dimensional frequency-bin entangled photon pairs, using photonic circuit integrable components. We demonstrate, with this source, the antibunching effect in high-dimensional space.
Συστήματα ερωταποκρίσεων με χρήση τεχνικών deep learning

Question Answering (QA) is a subclass of information retrieval. Given a collection of documents, a Question Answering system tries to seek out out the proper answer to the question proposed in natural language. Question answering is interdisciplinary. It involves information technology, artificial intelligence, natural language processing, knowledge and database management and cognitive science. Technologically speaking, question answering uses natural or statistical language processing, information retrieval, and knowledge representation and reasoning as potential building blocks. It involves text classification, information extraction and summarization technologies. In general, question answering system (QAS) consist of three distinct modules such as question classification, information retrieval, and answer extraction. These components play a essential role in QAS. Question classification play primary role in QA system, as it categorizes the question based upon its type. The information retrieval method offers the appropriate answers. Finally, answer extraction module aims to retrieve the answer of the user's question by ranking and verifying all the appropriate answer.
A Protocol to Follow-up with Students in Large-enrollment Courses

His research focuses on areas of automated reasoning in Artificial Intelligence; specifically, automated planning, search and knowledge representation
Privacy and Security Implications of the Coronavirus Pandemic

SARS-CoV-2 has highlighted the importance of cyber security, particularly information integrity and surveillance, in dealing with an ongoing, infectious crisis. From the spread of misinformation causing people to actively work against measures designed to ensure safety and minimise the spread, to concerns over the approaches taken to monitor, track, trace, and isolate infectious cases through the use of technology, almost every aspect has been relevant to cyber and information security. This chapter considers the legal, social, and ethical cyber and information security implications of the pandemic and responses to it from the perspective of confidentiality, integrity, and availability.
LibGuides: How do I access the TUT Library and Information Services Electronic Resources: ACCESSING THE A-Z LIST OFF-CAMPUS

A step-by-step guide on how to access the TUT Library and Information Services Electronic Resources A step-by-step guide on how to access the TUT LIS licensed electronic resources off-campus
RETRACTED ARTICLE: Real-time water quality prediction model based on fine-grained image classification and home aerobic exercise rehabilitation for the elderly

This paper studies the real-time water quality prediction model based on fine-grained image classification and home aerobic exercise rehabilitation for the elderly. Fine-grained image classification refers to the classification of sub-categories under image classification. In the past, image classification mainly classified images into large categories. In contrast, the most important feature of fine-grained image classification is the large differences within the class and the small differences between the classes, which are very difficult. And because it has a wide range of application requirements in human production and life, it has attracted a large number of scholars to conduct in-depth research on it. Based on the above research, the performance of the proposed model is analyzed and verified for specific water quality parameter prediction scenarios. The water quality model is an important part of the study of water environment simulation and water environment planning and management. Starting from the research review of water quality models, this paper introduces the development history of water quality models and several major non-mechanical water quality models and application research progress. It recognizes the objective facts of uncertainty in the water environment system and the limitations of organic water quality model in the application of water environment system in China. Finally, based on the above conclusions, elastic band resistance training combined with cardiac rehabilitation education improved the physical function of patients with coronary heart disease in the community, especially muscle health and cardiopulmonary rehabilitation training, as well as the quality of life of patients. The Heart Rehabilitation Training Program at Home can improve the awareness of cardiac rehabilitation of patients with coronary heart disease in the region, strengthen exercise compliance, popularize and apply to the home care of patients with coronary heart disease in the region, and also provide theoretical reference materials for regional medical personnel helping patients at home with training.
QML: Way Forward

Quantum machine learning (QML) is a cross-disciplinary subject made up of two of the most exciting research areas: quantum computing and classical machine learning.
Item Analysis: A Veritable Tool for Effective Assessment in Teaching and Learning

Effective assessment is central to education enterprise globally and its impact cannot be over emphasized.The paper focuses on item analysis as a veritable tool for ensuring effective assessment in education industry.The paper gives an overview of item analysis segments such as difficulty index, discrimination index and distractor efficiency.Efforts were made to explore these variables, their relevance and applicability in education, particularly teaching and learning processes.While the paper agued on the importance of item analysis in ensuring effective and efficient assessment in teaching and learning in line with global best practices, it was found out that the unconcerned of practitioners in determination of item analysis when constructing questions is hampering the relevance of item analysis, thus, the paper recommends among other things that practitioners should be engaged in addition to vetting question papers, in item analysis to enable them find empirically the suitability of a question or otherwise.
Missiotropic Axiologic of the University

The authors view the of the university as a system of values that is logically connected with the nature of knowledge as the subject, goal, and highest value of the university’s main scientific and educational activities. The key criterion of knowledge is the evidential validity. The article reveals its meaning from the position of Russian intuitionism, which combines the method of reflexive analysis with the tradition of ontological proof. The authors treat the meaning of absolute truth intuition as the basis of the value function of knowledge in relation to university education. In accordance with the essential orientation of universities to the reproduction of knowledge, that is the unconditional public good, they are qualified as missiotropic organizations. The University’s missiotropic axiologic is justified as a humanistic alternative to the capitalist ideal of global social harmony. Based on the methodological potential of the fundamental motivational matrix (FMM), the caste attributes of the latter are revealed. The specific nature of the appeal to moral responsibility in the context of corporate governance is revealed; the tendency to legalize ethical responsibility in connection with its instrumental understanding in the context of global market competition is noted.
LibGuides: Cataloging Manual: Add Barcodes to Spreadsheet

The Northwest Arkansas Community College Cataloging Manual. Barcodes must be added to the BooksDVDs spreadsheet for accounting purposes.
3D-profilometry of moving objects with abrupt surface discontinuities by projection of two-frequency color-coded fringe patterns

3D-profilometry of discontinuous solids by fringe projection is a difficult task due to the problem posed by the phase (profile) unwrapping at sharp borders. To solve this problem, Servin et al. proposed the so-called two-steps temporal unwrapping, in which two consecutive sequences of fringe patterns with different spatial frequencies (a low- and a high-frequency patterns sequence) are projected over a static test surface. As the 3D surface profile is retrieved by phase-shifting techniques, each fringe sequence must have at least three phase–shifted frames, which in principle would preclude the use of temporal unwrapping for measuring moving objects since at least it would be necessary to acquire a total of twelve frames (six frames for the test object plus six more for a reference plane). In the present work we present an improvement to this method, which requires the acquisition of only two color-coded fringe patterns (i.e., two RGBimages) for reconstructing the discontinuous 3D surface of a moving object. The proposed approach is based on the projection of fringes with two different frequencies. Validation experiments are presented.
LibGuides: Electronic Resources: Embedding Streaming Media in Chrome Browsers

This is an information guide about the Electronic Resources at NOVA Libraries. For more information, contact LTS@nvcc.edu
MEMS Photonic Networks For Parallelized Matrix Multiplication Using Wavelength-Division Multiplexing

We study dispersion models and design variations for programmable MEMS photonic networks to analyze scalability of parallel matrix-vector multiplication, which is a core element of commercially viable and energy-efficient photonic neural network accelerator chips.