Reviewerly/exHarmony huggingface dataset:
SEG-YOLO: Real-Time Instance Segmentation Using YOLOv3 and Fully Convolutional Network

Computer vision technology has been widely applied to augment sports TV broadcast experience.  Some of these broadcasts require accurate fore- ground segmentation on the outdoor sports scene, i.e., ...
Building maintainable web applications using React : An evaluation of architectural patterns conducted on Canvas LMS

Maintainability for web applications is increasingly important due to increasing demands for advanced functionality as well as a short time-to-market. Fixing errors, reusing functionality and addin ...
Long-tail learning with attributes

Learning to classify images with unbalanced class distributions is challengedby two effects: It is hard to learn tail classes that have few samples, and itis hard to adapt a single model to both richly-sampled and poorly-sampledclasses. To address few-shot learning of tail classes, it is useful to fuseadditional information in the form of semantic attributes and classify based onmulti-modal information. Unfortunately, as we show below, unbalanced data leadsto a familiarity bias, where classifiers favor sample-rich classes. This biasand lack of calibrated predictions make it hard to fuse correctly informationfrom multiple modalities like vision and attributes. Here we describe DRAGON, anovel modular architecture for long-tail learning designed to address thesebiases and fuse multi-modal information in face of unbalanced data. Ourarchitecture is based on three classifiers: a vision expert, a semanticattribute expert that excels on the tail classes, and a debias-and-fuse moduleto combine their predictions. We present the first benchmark for long-taillearning with attributes and use it to evaluate DRAGON. DRAGON outperformsstate-of-the-art long-tail learning models and Generalized Few-Shot-Learningwith attributes (GFSL-a) models. DRAGON also obtains SoTA in some existingbenchmarks for single-modality GFSL.
Optical architectures for pattern recognition with the generalized Hough transform

The generalized Hough transform (GHT) is a well-established technique for the recognition of geometrical fea- tures out of images corrupted by noise, with disconnected boundaries or where the target is partially occluded. As an alternative to the conventional procedure of direct imaging of the scene of interest and mapping to an accumulator or Hough parameter space, we can directly obtain the image transformed under GHT in an incoherently illuminated optical architecture where the pupil is codified according to the target of interest. Parallel processing inherent of optical devices then allows for real-time performance and shift-invariant pattern recognition. Besides, by exploiting the redundancy derived from multiview sensing of the input and its out- of-focus capture with an adequate pupil array, we can obtain in a snapshot the GHT with invariance to target shift, scale, and orientation. Finally, in order to enhance the robustness of the original algorithm in detecting an object out of a single image, we can also consider matching of a pair of corresponding (according to a perspective shift) templates to a given stereo pair of a 3d scene, since the redundancy that results from the simultaneous transformation of both images can overcome the drawbacks (resulting for example from occlusion) that affect the separate matching of an individual template to a given image.
Model-based disentanglement of lens occlusions

Image-to-image translation is affected by entanglement phenomena, which may occur in case of target data encompassing occlusions such as raindrops, dirt, etc. Our unsupervised model-based learning disentangles scene and occlusions, while benefiting from an adversarial pipeline to regress physical parameters of the occlusion model. The experiments demonstrate our method is able to handle varying types of occlusions and generate highly realistic translations, qualitatively and quantitatively outperforming the state-of-the-art on multiple datasets.
A Machine Learning based framework to neurodegenerative disease diagnosis

In this thesis we will talk about a medical diagnosis problem: is it possible torecognize a neurodegenerative disease from a simple blood exam? Some doctors have the idea that the diameter of blood vesicles, that can be extracted with a blood exam, might help to give a correct diagnosis. We will try to investigate these data with Machine Learning techniques.
NVU Libraries Research Guides: Business and Economics: Video of the Month

This guide provides access to library materials on topics regarding business and economics.
LibGuides: Remote Research and Dance: Digital Collections and Copy Requests

This guide brings together the varied resources available to our patrons while conducting their research remotely.
Метод проектов как инструмент профессионально ориентированного обучения английскому языку студентов вуза (на примере студентов музыкальных профилей)

Introduction. The aim of this paper is to specify some aspects of the project-based approach related to project content and structure, as well as to discover some of its advantages in the English for Professional Purpose-context.Materials and Methods. The research was carried out at the Gnesins Russian Academy of Music, its participants having exceeded 500 students from eight faculties and amounted to 40 educators teaching different disciplines. The following methods were used to specify the ways to university enhance students’ English language skills through project-based learning: analysis and synthesis to study research and methodical literature at Stage 1; survey (interviews, questionnaires) to work with at Stage 2 – getting students and teachers prepared for project-based activities; comparative analysis and description to deal with at Stage 3, related to integrating project-based learning into educational and sociocultural environment, and supervision to deal with Stages 2, 3 and to fix the results. The learning material comprised items for developing students’ speaking, reading, listening and writing skills.Results. The research findings include project content-and-structure-related aspects involving such factors as time, duration, form, type, activities, context and related fields. The authors also brought into the potlight some advantages for more efficient professional training, namely, an increase in student motivation and readiness for successful communication, proper understanding and use of field-specific terms, as well as extending the range of self-development opportunities.Discussion and Conclusion. The project-based approach in the English for Professional Purpose context  creates new opportunities for students to learn to interact with others on an international scale in the realworld circumstances. The article is intended for English language educators and learners worldwide seeking to enrich mixed group experience by doing creative projects with real-world outcomes.
Tackling the spreadof disinformationWhy a co-regulatory approach is the right wayforward for the EU. Bertelsmann Stiftung Policy Paper 12 December 2019

In recent years social media platforms have led to an unprecedentedincrease in the spread of disinformation. Concerns about these new anddynamic ways to spread falsehoods have brought politicians and regulatorsonto the stage. In this paper Paul-Jasper Dittrich proposes a Europeanco-regulatory approach to tackle disinformation on social mediainstead of the current self-regulatory approach or direct regulation.
PENGUKURAN PERFORMA SUPPORT VECTOR MACHINE DAN NEURAL NETWOK DALAM MERAMALKAN TINGKAT CURAH HUJAN

Prediction models using Neural Network or Support Vector Machine have been developed in many areas of rainfall. In this studi we have compared the performance of NN and SVM models, in predition of monthly rainfall at R-17 station Kecepit Pemalang. The analyzed using NN and SVM in which testing with Root Mean Square Error (RMSE) for get the performance is done. The data obtained for 2009 to 2018 monthly rainfall were used as modelling and forecasting sample. The results showed that NN obtained smallest error rate compared to SVM. the recognized value of RMSE for SVM is 176,374, Neural Network is 22,289. In RMSE the smallest error rate showed the best performance of algorithm.
LibGuides: Unleash Inner Genius: Makers and Makerspaces

Geniuses keep journals…we’re ALL geniuses we just need to get organized! Find here tips, tools, and techniques to track and build upon your curiosity, learning, and ideas. Whatever your interest, whatever your talent, the library supports it.
The South China Sea is not an obstacle for Dr. Mohd. Hafizil

Ts. Dr. Mohd Hafizil Mat Yasin might have to deal with travelling for thousands of miles from Peninsular Malaysia and separated from his loved ones before he could complete his doctorate degree in mechanical engineering (fuel combustion), done on a part-time basis, at the Faculty of Mechanical and Automotive Engineering in Universiti Malaysia Pahang (UMP).
LibGuides: IUN Virtual Library for Faculty: Virtual Writing Center Help for Students

Accessing the John W. Anderson Library's resources and services for all online classes. A guide that provides a gateway to access library databases, e-books, interlibrary loan, virtual reference help, and video conferencing instruction.
UWM Libraries Research and Course Guides: Library Resources for Online Instruction: Home

This guide contains information and useful no-cost/low-cost content into your online course to supplement instruction.
LibGuides: IUN Virtual Library for Faculty: E-Books

Accessing the John W. Anderson Library's resources and services for all online classes. A guide that provides a gateway to access library databases, e-books, interlibrary loan, virtual reference help, and video conferencing instruction. How to quickly access e-books
Recognition of Interior Objects from Photographs and Their Subsequent Transformation into a Drawing for Building Iot Systems

This article discusses a system to accelerate the construction of IoT systems of a smart home, by recognizing interior objects from photographs of the house, with their subsequent transformation into a drawing for manipulating all recognized objects. Various neural network frameworks were considered such as: Apache Spark, TensorFlow, Caffe, as well as methods for recognition: Adam (Adaptive Moment Estimation), methods for optimizing multi-dimensional problems, the backpropagation algorithm. The structure of the system, its components, as well as the operation algorithm are shown. The experiment shows one of the cases with photographs that are taken at an angle and in low light. The experiment demonstrates the program cycle, uploading photos, selecting point of angles, recognizing room objects. As a result, we see the program interface in which a drawing with all recognized objects that we can manipulate, add various elements, such as temperature sensors, various other sensors (lights, etc.) and servos, and with hardware and software for their control.
Implementasi Mobile Commerce Untuk Meningkatkan Pendapatan Anggota Koperasi Gentiaras Pringsewu

Mobile commerce application is one of the types of electronic commerce that has benefits for online sales and marketing systems. The internet in general, has been used by the public as a means of information and is used as a business tool to market a particular product. In an effort to increase the added value and sale of products produced by members of the Gentiaras cooperative, a digital platform has been built under the name Olshop PSW which has the function of matching and promoting the products of the members of the Gentiaras Pringsewu Cooperative. This application was built using the Systems Development Life CycleI Method using PHP and Java programming languages and database design using Mysql.
The Initial Condition of Legal Consciousness of Pedagogical College Students

Legal consciousness of a man is formed during the whole period of his life-sustaining activity. Thus, students define legal consciousness as an aggregate synergetic effect on professional environment. Novelty of the paper is grounded by authors with the fact that within research structure the key basis is represented not with the strategy of legal consciousness formation as a result of pedagogic experiment but with definition of its initial values and, subsequently, development of methods aimed at its correcting. Thus, authors determine the initial values bear rating character and along with this have impact on programs of students' legal consciousness formation upon development of new education standards and implementation of regulatory documents. In addition, author suggest that the basis for legal consciousness development is the formation of flexible strategy of legal consciousness level increase that will provide full integration of the present aspect into legal framework of teaching process and formation of personal interest of students in development of professional competence of their future learners.
Microfiche Scanning at UNT

Presentation delivered at the Technical Report Archive and Image Library (TRAIL) annual meeting held in Denton, Texas. This presentation discusses the digitization of microfiche as part of the technical report digitization activities at the UNT Libraries.
Exchanging deep knowledge for fault diagnosis using ontologies

To improve the development efficiency of automatical diagnosis equipment (ADE) and ensure the generality of ADE software, this paper proposes a novel method to exchange deep knowledge of systems under diagnosis (SUD) using ontologies. A general framework of knowledge base combining test information model and diagnosis information model is proposed. The diagnosis information model is decomposed into structure model and function model. The structure model describes the connectivity of adjacent components as well as the structural hierarchy, and the function model describes behaviour of modules by mapping input signals into output signals. Moreover, the method to locate the fault based on the proposed knowledge base is introduced. Finally, a case study for guiding system of passive-radar guidance missile is carried out to illustrate our proposed method. The practice shows that our method can achieve the object well.
Usage of Discrete Particle Swarm Optimization Method for the Searching of Optimal Tile Size

The paper considers actual methods of the software optimizations. Main attention is directed to the tiling method and parallelization. Showing the opportunities of the tiling method authors accent that tile size of the tiling method has critical influence of the optimization level. Main part of the paper dedicated to the searching of the optimal tile sizes for the better execution time of the test program. As a conclusion authors demonstrate results of the reducing execution time by applying of the particle swarm optimization method for the searching of the optimal tile sizes. The obtained results reveal that particle swarm optimization method can be used for the optimal tile size search. In the same time, parameters of the particle swarm optimization method should be picked up carefully for the faster method search.
Analisis Buku Siswa Matematika Kurikulum 2013 Kelas IX SMP Ditinjau dari Implementasi Pendekatan Saintifik dan Penilaian Autentik

This study aims to analyze whether the 2013 curriculum IX grade junior high school mathematics student book has been presented in accordance with the implementation of scientific approaches and authentic assessments. This type of research is a descriptive qualitative approach that was preceded by the development of a book suitability analysis instrument in terms of the implementation of the scientific approach and authentic assessment. Descriptions in this study were carried out by providing an overview of the contents of the book. The book suitability scoring analysis sheet and the book suitability analysis instrument validation sheet are part of the research instruments used. Data collection methods used are the method of documentation and observation and interviews to obtain supporting data. The results of the analysis of the suitability of the book in terms of the implementation of the scientific approach have a 90.0% conformity percentage with a very good category. The results of the analysis of the suitability of the book in terms of the implementation of the scientific approach and authentic assessment each have a percentage of suitability of 90.0% and 93.75% with a very good category.
Tourism as Optional Lecture for Industrial Revolution in Japanese Language Major

Following  the  rapid  growth  in  science,  many  things  have  been  changed.  One  of  them  is  the  industrial revolution 4.0. In this era, the demand of manpower is decreasing and is replaced by computer and machine. For Indonesian millennials, this is a challenge for their futures. However, despite this concern,  there  is  tremendous  opportunity  for  Japanese  language  learners  which  is  part  of  the millennials generation. In the fieldwork and as tourist guide, there is significant need for manpower.   The amount of expatriates living in Jakarta, business trips from Japanese businessmen, and the growing information of Indonesian tourism, has made the demand of Japanese tourist guide speaker increased. As a result, tourism lecture was created, especially for students who want to master to become Japanese tourist guide. In this lecture, not only the ability of students, but also the lecturer should prepare well for  the  course  with  a  good  flow,  starting  from  greetings,  guiding,  and  closing.  In  addition,  lecturer should understand the general concept of tourism and how to guide tourists properly.   Keywords:  Japanese skill, guiding, tourism
Anonyma vittnesmål - Rättssäkerhet för vem?

In Sweden, there is a general duty to testify, which means that a called witness has an obligation to testify. A witness cannot avoid the obligation to testify as long as any of the exception rules are not applicable. To be afraid to testify because the witness has been exposed to threats or violence is not a valid reason not to testify. In cases where a called witness does not satisfactorily fulfil his or her testimony, the court has the opportunity to decide on measures such asinjunction and arrest. The duty of witnessing thus, constitutes a far-reaching obligation for the individual witness. Where witnesses witness organized crime, witnesses may be subject to reprisals for the purpose of silencing the witness. Organized crime is a current topic that is regularly highlighted in the media. In connection with debates about organized crime, the problems of getting witnesses to organized crime to dare to testify. It is also in connection with these discussions that anonymous testimonies are sometimes mentioned. Anonymous testimony is a controversial topic in Sweden, because Anonymous testimony can mean a restriction on the defendant's right to legal security. RB states that a defendant must have the right to the party's transparency and in EKMR, among other things. An accused must be given the opportunity to question the witnesses. Anonymous testimony may result in the defendant losing those rights in EKMR and RB. The European Court of Justice has stated in several decisions that anonymous testimony may be allowed in certain situations. In Sweden, there is no way for exposed witnesses to testifyanonymously. However, there are other measures available to protectvulnerable witnesses. These measures include, inter alia, restraining orders, public accounting measures and especial personal safety measures.The purpose of this thesis is to illustrate and analyse whether it is justified to introduce anonymous testimonies with regard to the witness's legal certainty. The thesis is limited to dealing only with the fact that anonymous witnesses are justified in cases where a random witness witnesses organized crime. The analysis analyses and discusses the duty of testimony, the protections available to threatened witnesses, and the European Court's approach to Anonymous testimony. Taking into account the approach of the European Court of Justice toanonymous testimony and the need for exposed witnesses for effective andreasonable protection. From what is stated in the conclusion, I believe it is justified to introduce anonymous testimonies.
Protecting past and future choices: Identifying and evaluating functional vulnerabilities in recommender systems

Today, our societies are challenged by the abundance of choices. To help consumers choose, companies increasingly use AI-based recommender systems (RSs), learning from consumers’ behavior and suggesting items which are most likely to interest them. By doing so, RSs personalize companies’ offers and increase consumers’ engagement with brands as well.Despite their importance for the digital economy, the growing deployment of RSs raises multiple concerns related to consumers’ rights, for instance, the threats of manipulation and discrimination. However, the majority of research was devoted to investigating the causes and effects of “accidental” negative effects of RSs caused by data/system biases.By contrast, we emphasize the importance of studying how RS processes can be abused by third-party adversaries to serve malicious agendas. Specifically, we argue that it is crucial to ensure the functional integrity of RSs against these adversaries to protect consumers and provide efficient, trustworthy, and ethical services.For this purpose, we propose to develop a novel framework to identify and evaluate functional vulnerabilities in different RSs, based on the likelihood of malicious exploitation(s) of a given vulnerability (i.e., attacks on RSs) and the consequential damages to the RS integrity and repercussions on RSs users (e.g., reputation damage, deception).
TMATE: An R package for biotransformation product discovery and the application of biodegradation products in chemotyping

TMATE: An R package for biotransformation product discovery and the application of biodegradation products in chemotyping
LibGuides: 2020 MS Winter Reading: Parent Tips and Suggested Books

Summer reading suggestions, recommendations, and requirements. Suggested books for parents. All books are available in English, Korean, and Chinese.
Computer Aided Education for Early Childhood: A Focus for Text and Object Identification

This study assesses the impact of computer aided education for early childhood focusing on text and object identification. The study's focus was to find out if computer aided education was useful in childhood education. The study adopted the iterative method in modelling the systems different phases and a child moves from phase one which consist of two interfaces with basic text like A and B and if the child is able to recognized the text the computer pronounced continuously then he or she moves to the next phase. The study concluded that children who are encourage in using computer-aided technology in their learning achieve much as compared to children who uses the traditional learning techniques. It was recommended that children within the ages of 2 to 7 years should be motivated in using computer-aided technology in their education to enhance their learning skills.