Reviewerly/exHarmony huggingface dataset:
High dynamic range image sharing with privacy protection

Sharing pictures has become a very popular practice among consumers. Most recent cameras, displays, and smartphones can capture and display images in high dynamic range and wide colour gamut, contributing to an increase of this type of content. It is a well-known fact that pictures contain information that could cause various security and privacy issues. This is in particular true because high dynamic range pictures exhibit more information when compared to conventional images resulting in an increased invasion of privacy. Lack of proper solutions to overcome privacy can hinder a wide spread adoption of high dynamic range pictures shared in social networks. For example, dark areas of a content that are otherwise difficult to view in a conventional picture become more visible. It is therefore natural that mechanisms are offered to protect privacy while sharing pictures also in high dynamic range. In this paper, we propose an architecture to share high dynamic range images captured by high-end smartphones while offering a mechanism to protect privacy. In our approach, the high dynamic range picture is tone-mapped into a lower dynamic range version which reduces its degree of invasiveness as far as privacy is concerned. Eventually, any remaining privacy sensitive areas in the picture can be further protected (blurring of faces, masking cars licence plates, etc.). The core of the proposed architecture conforms to both JPEG XT, a recently standardised format that offers backward compatibility with legacy JPEG and to JPEG Systems under development. The proposed solution allows to publicly share a protected version of the high dynamic range image tone-mapped to a standard dynamic range picture. The latter can go through transmorphing operation to further protect it. Authorised users can access the original high dynamic range picture. The architecture as described above has been implemented as an app for smartphones running Android OS. We demonstrate feasibility and usefulness of this approach and discuss its advantages when compared to conventional image sharing such as those used in social networks.
LibGuides: Library Research Navigator: ORCID

Your preliminary source of information and guidance as you begin or continue with your research journey.
Can intraday public information explain Bitcoin Returns and Volatility? A PGARCH-Based Approach

This paper examines two competing hypotheses, that is, mixture of distribution hypothesis (MDH) and sequential information arrival hypothesis (SIAH) in the cryptocurrency market using high-frequency data. Specifically, we attempt to test the explanatory power of intraday public information arrival for Bitcoin returns and volatility over the period from January 1, 2019 to May 16, 2019. Based on AR (2)-PGARCH (1.1. AŽÂ´), the empirical results reveal the following: First, we find more evidence to support the MDH than the SIAH since the current trading volume participates to absorb the persistence of Bitcoin volatility stronger than the lagged trading volume. Second, solid evidence of the instantaneous effect of intraday trading volume on intraday Bitcoin returns is verified more than the lagged effect, which supports the MDH rather than the SIAH.
Library Guides: Get Articles This Library Doesn't Have: Another Way to Place an Interlibrary Loan Article Request

Did you know that we have a service that can get articles we don't have from other libraries? Includes a video version of the instructions. #full text, #articles, #ILL, #Interlibrary Loan
LibGuides: RCLS Mock Book Discussions: Mock YALSA Award for Excellence in Nonfiction for Young Adults

This guide is for RCLS member library staff who would like to participate in the Mock Book discussions.
ERROR ANALYSIS IN WRITING OF THE TENTH GRADE STUDENTS OF MAN 1 PALU

Error analysis is an activity to identify, classify and interpreted or describe the errors made by someone in speaking or in writing and it is carried out to obtain information on common difficulties faced by someone in speaking or in writing English sentences. For students, error analysis is needed to show them in what aspect in grammar which is difficult for them, to show the errors made by the students, to know the source or the cause of the error and how the students can learn from their mistakes in order that they will not make some errors repeatedly. The purpose of this research is to describe the type of grammatical error faced by students in writing. This research used descriptive qualitative method. This research was carried out in using descriptive writing text to find out what types of error made by students of the tenth grade students MAN 1 Palu in writing and what causes of the students error in writing. The result of the research showed that the tenth grade students MAN 1 Palu still made 41 errors in their writing. They are three classification of error based on surface strategy taxonomy. The high frequency of error is selection (63,41%), omission (26,82), and The lowest frequency of error is addition (9,75). On the other hand, the highest cause of error is carelessness (75,6%), %), first language (7 or 17,07 %), while the lowest cause of error is translation (7.31%).
LibGuides: Pages Book Clubs: Our Summer Reading List!

Have a look at anything related to our ongoing Pages Book Clubs. Be it for this semester or past semesters. It's all in one place! Looking for something fun to during the break? Check out these recommendations.
Research Guides: NorQuest Library Basics: Online Resources

A guide to accessing and using library resources for online students. This page outlines the different types of online resources we have and what you might use them for.
Subject guides: Library Information for Business Students: Home

A landing page and central hub for library resources, events and information for Business students.
Late adopters of e-books in Sweden and Japan : A case study of readers

Even though the e-book market is increasing, little research has been done on readers who are late adopters of e-books, and their resistance and scepticism to e-book adoption. The Swedish and Japan ...
G.R. Little Library: Faculty Guide to Integrating Library Resources Into Blackboard Courses: Resources on effectively teaching online courses

A step-by-step guide on how to add library resources to your online courses in Blackboard, including online video, direct links to articles and databases, eBooks, and more.
Online PdP new normal for UMP students

Pekan, 1 June 2020 - Students at Universiti Malaysia Pahang (UMP) started their virtual classes in line with the new normal in Online Teaching and Learning (PdP-DT) implemented this 1 June.
Designing Virtual Reality Experiences for Elderly : A qualitative study focusing on VR suppliers operating within the elder care sector.

Abstract                                                   This thesis provides an in-depth research of five VR suppliers working with creating VR experiences targeted to elderly within the elder c ...
Always Listening? : An Exploratory Study of the Perceptions of Voice Assistant Technology in Indonesia

Voice assistant technology on smartphones, smart speakers, or those on the wearable devices is one of the fastest-growing artificial intelligence applications in the market now. However, with the p ...
Preventing Multiple Comparisons Problems in Data Exploration and Machine Learning

Author(s): Koulouris, Nikolaos | Advisor(s): Papakonstantinou, Yannis | Abstract: More data means more opportunity for a researcher to test more hypotheses until he discovers an interesting finding. This increases the probability of arriving at a false conclusion purely by chance and is known as the multiple comparisons problem. Data exploration systems facilitate exploring big data by automatically testing thousands of hypotheses in order to find the most interesting ones. In machine learning analysts repeatedly test a model's performance on a holdout dataset until they find the one with the best performance. Auto-ML systems try to automate this model selection process. In both cases, testing for more things means a higher probability of making a statement purely by chance.This dissertation examines how the multiple comparisons problem appears in the field of data exploration and machine learning. In both cases we propose techniques that exploit some structure that appears in the field to improve upon existing techniques and reduce the consequences of multiple comparisons.We present VigilaDE, the first data exploration system that utilizes the hierarchical structure of the data in order to control false discoveries. A plethora of real-world datasets already have domain-specific hierarchies that describe the relationship between variables. VigilaDE utilizes these hierarchies to guide the exploration towards interesting discoveries while controlling false discoveries and, as a result, increasing statistical power. Through extensive experiments with real-world data, simulations and theoretical analysis we show that our data exploration algorithms can find up to 2.7x more true discoveries in the data against the baseline while controlling the number of false discoveries.In machine learning, the consequence of testing multiple different models is overfitting. We present an experimental analysis of ThresholdOut, the state of the art algorithm for avoiding overfitting a holdout dataset. The main limitation of ThresholdOut is setting its parameters. We present Auto-Set, an automated way to set its parameters for feature selection. Specifically in feature selection the order of the models that we test on a holdout dataset has a very specific structure. We utilize this structure in Auto Adjust Threshold, a novel feature selection algorithm that avoids overfitting a holdout dataset and show that it outperforms existing algorithms.
LibGuides: Learning Express Library: Test Prep

Interactive platform that contains practice tests for standardized and placement tests at every grade level. Also contains tutorials to help improve basic math, reading, writing, and computer skills for every age. Assessment tests and career placement hel
Effectiveness of Fromkein Model for Analysis of Blend and Exchange Speech Errors in Urdu Language

The study aims to examine the speech errors made by the speakers of Urdu language. Paper also identifies the types and most frequently used errors in the Urdu language. Speaking is one of the major forms of language production. It involves the process of how a speaker translates information and intention in a given language. It is an active procedure of the human mind and strictly governed by phonological syntactic and semantic rules. Error analysis is defined as a way of identifying, organizing and systematically interrupting the improper forms produced by someone speaking the native language, using any of the principles and procedures provided by linguistics (Crystal, 2003). There exist tremendous difficulties in natural speeches uttered by the speakers unconsciously. Due to the trend of English medium in schools as we use English as our official language that’s why most of the students face problem while reading the Urdu language so when they switch their language into Urdu they commit so many errors. So to identify those errors which we commit while speaking the Urdu language. The method of the study includes 30 participants randomly selected from the undergraduate level. The data was collected through the audio recordings of the participants for the investigation of speech errors. Fromkein’s classification scheme has been used to analyze the errors and their frequencies in a speech. The result identified the specific type of speech error and their occurring frequencies in speech production. The results of the study identified the types of speech errors which committed most are blend and exchange error. Moreover, the findings of the study also checked the frequency of the errors committed in speech production. Keywords: Speech errors, analyze, Data collection, Recordings, Percentage DOI: 10.7176/JEP/11-24-07 Publication date: August 31 st 2020
Context-aware Approach for Cardiac Rehabilitation Monitoring

As technology advances, the usage and applications of context-aware systems continue to spread across different areas in patient monitoring and disease management. It provides a platform for healthcare professionals to assess the health status of patients in their care using multiple relevant parameters. Existing technologies for cardiac patient monitoring are generally based on the physiological information, mostly the heart rate or Electrocardiogram(ECG) Signals. Other important factors such as physical activities and time of the day are usually ignored. We propose a context-aware solution for cardiac rehabilitation monitoring using multiple vital signs from the physiological and activity data of the patient. This research considers the activity of the patient alongside the time of the activity to facilitate physicians decision-making process. We provide a personalised physical activity recognition processing by generating a personalised model for each user. A prototype is presented to illustrate our proposed approach.
LibGuides: HACC User Support: Other Technical Resources

Tech support provides effective and timely technical support for all HACC students, faculty, and staff.
Automatic solar tracking system used for irrigation

Choice of proper methods is always important in the field of irrigation. By indulging the optimum methods, we can ensure maximized yield from the field. In this era of sensors and technological development, it is the ripest time to involve these advancements in this domain as well. Water being one of the most precious resources, it is never to be wasted. Again sunlight which is such an abundant resource must be utilized. The method we put in this paper correlates two different techniques viz. measuring water content in a field and employing solar power to drive motors for running submersible pumps as and when required. Adding on to these we have developed an arrangement so that the solar panels can track the orientation of the sunlight and adjust themselves accordingly. The unique feature of the proposed system is that instead of taking the earth as its reference, it takes the sun as a guiding source. Active sensors constantly monitor the sunlight and rotate the panel towards the direction where the intensity is most. The light dependent resistors do the job of sensing the change in the position of the sun. An electro mechanical arrangement aligns the panels accordingly. The entire set up is controlled by an Arduino Atmel AVR microcontroller which will trigger the relays as and when required. The expectations agree to great extent to the desired efficiency.
Establishing Authenticity for DICOM images using ECC algorithm

Preserving medical data is of utmost importance to stake holders. There are not many laws in India about preservation, usability of patient records. When data is transmitted across the globe there are chances of data getting tampered intentionally or accidentally. Tampered data loses its authenticity for diagnostic purpose, research and various other reasons. This paper proposes an authenticity based ECDSA algorithm by signature verification to identify the tampering of medical image files and alerts by the rules of authenticity. The algorithm can be used by researchers, doctors or any other educated person in order to maintain the authenticity of the record. Presently it is applied on medical related image files like DICOM. However, it can support any other medical related image files and still preserve the authenticity.
SOCIOLOGICAL EVALUATION OF THE POSSIBILITIES OF IMPLEMENTING THE CONCEPT “LIFELONG LEARNING” IN MODERN RUSSIA

The study is devoted to the analysis of the implementation of the "lifelong learning" concept in Russia. To study the problem, we used both secondary data from surveys conducted by the VTsIOM and HSE University, as well as information obtained by the authors during expert interviews with teachers of higher education, tutors of business education and scholars involved in educational issues. The logic of the study involved a consistent acquaintance with the concept of lifelong education, the presentation of the structure of modern Russian education, and the inclusion of various groups of the population in the lifelong education system. A key part of the study was an analysis of the barriers and opportunities for the population to pursue lifelong learning. The results of the polls and the data of expert interviews allowed us to identify systemic problems in implementing this concept, such as: the transitional state of the educational system, insufficient budget funding for education, low financial power of population, insufficient demand from employers, an unformed system of additional professional education, underdevelopment of support for informal education and its pairing with formal education. The role of the National project “Education” in solving the problems of implementing the concept of lifelong education is noted.
LibGuides: Summer Reading 2020: Public Library Summer Picks

RELAX, RELATE, RELEASE....through Open Choice Reading Summer picks from NYPL, QPL, and BPL
Plus Minus Pembelajaran Sejarah Jarak Jauh Media E-learning

It is undeniable that the progress of the times demands progress in the field of education, many Indonesian schools have begun to apply ICT advances in several lessons. The situation that we are facing right now has become one of the factors, that the collaboration between tick and learning media must be carried out immediately. This article aims to examine the extent of distance learning readiness, starting from the understanding of distance itself, the method of distance learning that is applied by all schools in Indonesia, especially at the high school / vocational / equivalent level, and frequent problems faced when distance learning takes place. The writing of this article uses the phenomenological analysis approach method (a phenomenon that is slimming consciously), because the Covid-19 emergency does not require us to make direct observations of spaciousness.
Music for 4 Pianists and 1 Man

Author(s): Smith, Cameron | Abstract: This music score was submitted for the Kaleidoscope 2020 Call for Scores, an open access collaboration with the UCLA Music Library.
LibGuides: GoPro at the Library: Basics

This guide is intended to provide VCC students and employees with information about borrowing and using GoPro.
From Mob Programming to Mob Development : User-Centred Design in Collaborative Software Development

Mob programming is a collaborative software development method that has gained increasing attention in both industry and research. While the focus of mob programming is on the benefits of teams pro ...
Mobile-Based Early WarningSystems in Mozambique. : An exploratory study on the viability to integrate Cell Broadcast into disaster mitigation routines.

Mozambique is one of the countries most affected by natural hazards in the world. Therefore it can benefit greatly from enhancements on its early warning system. Cell broadcast, which is a technolo ...
RABIN-CARP IMPLEMENTATION IN MEASURING SIMALIRITY OF RESEARCH PROPOSAL OF STUDENTS

Plagiarism is the use of data, language and writing without including the original author or source. The place where palgiate practice occurs most often is the academic environment. In the academic world, the most frequently plagiarized thing is scientific work, for example thesis. To minimize the practice of plagiarism, it is not enough to just remind students. Therefore we need a system or application that can help in measuring the level of similarity of student thesis proposals in order to minimize plagiarism practice. In computer science, the Rabin-Karp algorithm can be used in measuring the level of similarity of texts. The Rabin-Karp algorithm is a string matching algorithm that uses a hash function as a comparison between the search string (m) and substrings in text (n). The Rabin-Karp algorithm is a string search algorithm that can work for large data sizes. The test results show that the use of values on k-gram has an effect on the results of the measurement of similarity levels. In addition, it was also found that the use of the value 5 on k-gram was faster in executing than the values 4 and 6.
LibGuides: Digital Reference Services: Virtual Museum Tours

Online research, learning, and educational activities. Stuck at home. Take a virtual tour of these historic and educational sites.
InfoGuides: Science and Technology Policy: Find Policy Analysis

This guide contains resources on STEM-related public policy including legislative and executive branch sources and a selection of the federal agencies and non-profit organizations involved in setting the U.S. science and technology agenda.
Creating a Sentiment Lexicon with Game-Specific Words for Analyzing NPC Dialogue in The Elder Scrolls V: Skyrim

A weak point of rule-based sentiment analysis systems is that the underlying sentiment lexicons are often not adapted to the domain of the text we want to analyze. We created a game-specific sentiment lexicon for video game Skyrim based on the E-ANEW word list and a dataset of Skyrim’s in-game documents. We calculated sentiment ratings for NPC dialogue using both our lexicon and E-ANEW and compared the resulting sentiment ratings to those of human raters. Both lexicons perform comparably well on our evaluation dialogues, but the game-specific extension performs slightly better on the dominance dimension for dialogue segments and the arousal dimension for full dialogues. To our knowledge, this is the first time that a sentiment analysis lexicon has been adapted to the video game domain.
LibGuides: Mythology, Fairy Tales & More: Catalogs & Search Engines

Resource guide for materials related to Mythology, Folklore, Fairy Tales, Fables and Legends
The effect of information and communication technologies on foreign direct investments attractiveness in Africa

This article empirically assesses if Information and Communication Technologies (ICTs) diffusion enhances Foreign Direct Investments (FDI) attractiveness in a sample of 52 African countries from 2000 to 2015. We measure ICTs by fixed phone, mobile phone and internet services. Our Regressions are based on Pooled Ordinary Least Squares (POLS), Fixed Effect and Random Effect models and on system Generalized Method of Moments (system-GMM) for the robustness checks. The results obtained suggest that the diffusion of ICTs positively and significantly affects FDI attractiveness in Africa. In fact, the results show that the penetration of mobile phone and internet services have a positive and significant effect of FDI attractiveness, while fixed phone do not have a significant effect on external capitals inflow. In addition, Central, Southern and North Africa are the three African sub-regions where the effect of ICTs on FDI attractiveness is more relevant. Therefore, African countries should invest more in telecommunication infrastructure in order to take advantage of the potential of ICTs for FDI attractiveness.
Physically Inspired Optimization

Optimization is the study of finding the best solution for a problem. The applications of this field ranges from finding the best routes for travelling to finding the ground state of physical systems. This thesis looks at gradient based and gradient-less optimization algorithms which are applied to two problems: the linear least square and the position of a system of springs. The algorithms used are Sparse Levenberg-Marquardt, Particle Swarm Optimization and Nelder-Mead algorithm. The goal of this paper is to benchmark these algorithms on the two problems. The results show that for small problems the gradient-less algorithms converge faster than the gradient based algorithm. However for big problems the gradient-less algorithms face converging issues. Finally, more research into implementation of gradient-less algorithms is suggested. (Less)