Reviewerly/exHarmony huggingface dataset:
Person Re-identification Method Based on Cross-domain Image Style Conversion

The existing cross-domain person re-identification technology has a large difference between the source domain and the target domain, and the performance of the model trained in single-domain is significantly reduced when directly used on another domain. In this paper, a person image style conversion method is used to increase the sample diversity, which narrows the difference between the source domain and the target domain sample. By Cycle Generative Adversarial Networks, the similarity of the source domain image combined with the image style of another domain is closer to the similarity of the target domain data, and the sample diversity is enhanced before the unconverted, which reduces the inter-domain difference of the sample and makes the model have better generalization ability. The experimental results show that after translating the styles of the Market-1501, DukeMTMC-reID and MSMT17 datasets, and then extracting global features through ResNet-50, the accuracy of cross-domain re-identification is significantly improved. At the same time, the model can achieve better re-recognition results without incorporating the style of the target domain dataset or when there are fewer target datasets, which is better than other cross-domain pedestrian re-recognition methods that currently perform well.
Study of the effect of the offset phase in time-delay electro-optical systems

We show that the effect of the offset phase on the dynamics of the time-delay optoelectronic oscillators that is observed experimentally can be explained in terms of switching between the subcritical and supercritical Hopf bifurcations. The domains of the offset phase for which the system functions are determined analytically. We also show that the width of these domains exceptionally depends on the interplay between the three time scales of the system. Our theoretical results fit with the experimental measurements.
Sonic Recursion - Sound Based Music

Sonic Recursion is a form of music composition and sound design that uses feedback as an integral source of tonal variety, using modulation sources such as Low Frequency Oscillators (LFO) and admits the possibility of chance and chaos by the use of randomisation. As an approach it sits broadly within Landy's formulation of Sound Based Music. Within this area the musical unit is sound rather than the note as present in more traditional music composition settings.The video highlights how a DAW (Digital Audio Workstation) can be used as a composition/sound tool challenging its more common usage as a tool for recording, editing and mixing. A piece based on this concept, Sonic Recursion, need not have the playhead of the DAW engaged. This is quite a radical concept within music production as it potentially eradicates the temporal based nature of traditional DAW use.As a concept Sonic Recursion enables Landy's Sound Based Music to become part of the taught pedagogy for music production classes and enables students to conduct work in a familiar environment i.e. the DAW but to challenge their notions of the work that can be done ion these sorts of environments, particularly when the playhead is not engaged! In particular Perkin's work identification of what is termed 'Alien Knowledge' (1999) is of particular importance in this situation. It is 'alien' because of the conflict with the more usual DAW practice based thinking. As such Sonic Recursion makes a strong contribution to composition practice and to taught practices in the domain of DAWs.
The Utility of Youtube Animated Video to Improve Students Writing Skill on Explanation Text ( A Classroom Action Research at The Second Grade of MAN 2 Kota Serang)

Nuni Tuswijayani. 161230113. 2020. “ The Utility of Youtube Animated Video to Improve Students Writing Skill on Explanation Text” ( A Classroom Action Research at The Second Grade of MAN 2 Kota Serang) This research aims to improve writing skill with explanation text using Youtube Animated Video on Second Grade of MAN 2 Kota Serang. The type of this research is a collaborative Classroom Action research (CAR). The subjects of this study were second grade students of MAN 2 Kota Serang consisting of 30 students. The data collection technique in this study use writing test, and observation. Qualitative data collection instrument uses observation sheets and quantitative uses writing test. This research shows the utility of Youtube Animated Video can improve students’ writing skill at second grade of MAN 2 Kota Serang. The improvement of writing skill is evidenced by the grade point average of 60 rising 72 and 80. The percentage of achievement of the average score of writing skill has increased on pre-action is 23 %, in cycle I is 53%, and in cycle II is 87%. The result of writing skill test after the implementation of learning writing skill by using Youtube Animated Video continue to increase and show effectiveness in learning to improve writing ability of students of XI Bahasa MAN 2 Kota Serang. The increase is implied by the success indicators of the process and the product in each cycle.
Emotions: What do we know about them now?

“Emotion” is a term whose technical definition is still argued and whose impact on the daily life of children and adolescents is complex and can be problematic for some. We will clarify the recent work by Joseph LeDoux and others to provide an update on where emotions are represented in mental process and in the felt experience of daily life. We will explore a model for understanding emotional fluctuations in the light of an individual’s focus of attention, the consequent perception of reality and how that is oriented by the individual’s emotional, cognitive and attitudinal frame.
Solar Measurement Campaign in Vietnam : Site Measurement Report - 24 Months of Measurement Data

After 24 months of continuous measurement operation, this report analyses the measurement results that have been recorded across five solar measurement stations in Vietnam. Measurement stations of type tier 1 and 2 measure solar irradiance based on thermopile pyranometer and rotating shadowband irradiometer. The solar measurement report covers the data recorded by the measurement station from 24 September 2017 through 30 November 2019. The solar measurement results are analyzed regarding their relevance to photovoltaic (PV) and concentrated solar power (CSP) power output. Solar measurement analysis comprises: quality checks (QC) results; seasonal and diurnal characteristics of global horizontal irradiance (GHI) and direct normal irradiance (DNI); soiling measurement analysis; temperature, humidity, and (if available) precipitation; wind measurements; and measurement statistics. The report will conclude with a comparison of monthly irradiance for all five sites.
Machine Learning With Python

In previous chapters, we saw what artificial intelligence is and how machine learning and deep learning techniques are used to train machines to become smart. In these next few chapters, we will learn how machines are trained to take data, process it, analyze it, and develop inferences from it.
Evaluating and redesigning virtual reality 'underwater tourism' application based on heuristic method

This study aimed at evaluating the application of VR e-Bahari in terms of the usability aspects. The method used to evaluate the usability of the semi-immersive VR applications was using the 12 heuristic rules proposed by Sutcliffe and Gault (2004) in order to provide suggestions and recommendations for improvements of the application, with considerations in the positions that would cause cyber-sickness symptoms. The study revealed that the application of VR e-Bahari had successfully represent underwater environment with excellent completeness of 3D objects that were needed well, such as coral reef, fish, underwater effect and lighting. However, the interaction between the users and applications was shown to be less natural, while sound effects and narrative information were inadequate and there was a lack of use of the navigation buttons on the application. The study thus recommend improving the application by improving the VR environment boundary, adding more navigation buttons, providing more information on each object and intensifying air bubble and impact effects. Further, test on positions of the head indicated that a quick up, down and rotating movements of the head would trigger symptoms of cyber-sickness, while users felt more comfortable using ANTVR compared to Google Cardboard.
On Increasing the Computation Efficiency in Classifying Images

Automatic classification of images using the Bayes classifier with integer coefficients is considered. It is shown that by representing the polynomials used in the classifier that differ from the generally accepted ones through indicating only nonzero coefficients, it is possible to save memory and reduce the number of operations while keeping the same classification quality. The polynomial coefficients are rounded and represented using integers (fixed-point numbers). A polynomial storing method that makes it possible to store only nonzero coefficients of the polynomial is analyzed. In using this method, the vectors and numbers used for carrying out classification are stored in the usual way. The MNIST database was used for carrying out the experiments. Seven bits were taken to represent the polynomial coefficients. For storing coefficients without rounding, 11.77 MB of memory is needed; for storing the rounded coefficients in the usual form, 2.93 MB of memory is needed; and for storing only nonzero rounded coefficients, 1.3 MB is needed. The number of addition and multiplication operations required to make a decision about the image class has been reduced significantly. An economical method for storing matrices with polynomial coefficients on a disk is presented. In the experiment with the MNIST database, only 0.35 MB of memory had to be used for storing the polynomials in the database. The study results can be used in elaborating software and hardware for automatic classification of images. It is also of interest to study similar techniques to improve the efficiency of computations in other classifiers.
Poissonian twin-beam states and the effect of symmetrical photon subtraction in loss estimations

We have devised an experimentally realizable model generating twin beam states whose individual beam photon statistics are varied from thermal to Poissonian keeping the non-classical mode correlation intact. We have studied the usefulness of these states for loss measurement by considering three different estimators, comparing with the correlated thermal twin beam states generated from spontaneous parametric down conversion or four-wave mixing. We then incorporated the photon subtraction operation into the model and demonstrate their advantage in loss estimations with respect to un-subtracted states at both fixed squeezing and per photon exposure of the absorbing sample. For instance, at fixed squeezing, for two photon subtraction, up to three times advantage is found. In the latter case, albeit the advantage due to photon subtraction mostly subsides in standard regime, an unexpected result is that in some operating regimes the photon subtraction scheme can also give up to 20% advantage over the correlated Poisson beam result. We have also made a comparative study of these estimators for finding the best measurement for loss estimations. We present results for all the values of the model parameters changing the statistics of twin beam states from thermal to Poissonian.
Petrarchismo e poesia gnomica in un manoscritto quattrocentesco della Biblioteca Nazionale di Napoli

This article examines Codex XIII D 76, which is housed at the Biblioteca Nazionale in Naples (in the “Fondo Nazionale” collection) and contains Petrarch’s Canzoniere and Trionfi, as well as a handful of poems by other authors added by the main hand. The article offers a critical edition of the latter, some of which belong to lyric love poetry, while others are moralizing and gnomic poems. The works not by Petrarch are a linguistic hybrid, in which northern features coexist alongside those from central and southern Italy. The manuscript contains an otherwise unknown witness of the sonnet “Colui che batte”, attributed to Bosone da Gubbio, thereby offering some variants worthy of consideration for a critical edition of the text.
LibGuides: Remote Learning: Student Tutoring & Resources

Welcome off-campus students! This guide is designed to give you access to resources that are avaialble for you no matter where you are!
A Game Theoretical Semantics for Logics of Nonsense

Logics of non-sense allow a third truth value to express propositions that are nonsense.These logics are ideal formalisms to understand how errors are handled in programs and how they propagate throughout the programs once they appear.In this paper, we give a Hintikkan game semantics for logics of non-sense and prove its correctness.We also discuss how a known solution method in game theory, the iterated elimination of strictly dominated strategies, relates to semantic games for logics of nonsense.Finally, we extend the logics of nonsense only by means of semantic games, developing a new logic of nonsense, and propose a new game semantics for Priest's Logic of Paradox.
PENGGUNAAN SELF ORGANIZING MAP DALAM PENGELOMPOKAN TINGKAT KESEJAHTERAAN MASYARAKAT

Self Organizing Map (SOM) is one of the topology forms of Unsupervised Neural Network where in the learning process does not require output target. Clusters in this research consist of one or more regency/city areas that have certain characteristics based on the variables. Each cluster had to be validated by using the Davies Bouldin Index value to get the best cluster formation from the SOM algorithm learning process. The best cluster model is the cluster model that has the smallest Davies Bouldin Index value. This research used 30 variables that refer to the key statistics of South Sulawesi Province People's Prosperity in 2018 by BPS of South Sulawesi Province. In this research, four cluster formation models were formed which began by forming 2 cluster model to form 5 cluster. Based on the Davies Bouldin Index value, it was found that the 5 cluster model have minimum value of 0.17.
Data-driven Ensemble Visualization

Ensemble simulations are generated to estimate uncertainty and variability in their underlying numerical models. In this cumulative thesis, we present techniques to visualize, evaluate and handle sensitivities involved when clustering ensemble data. Correlation analysis is improved by basing it on statistical coherent regions, automation and summarizing overview plots. Relations to initial simulation parameters are extracted by comparing ensemble members based on distributions of their multi-parameter values.
Mobile apps and internet of things (IoT): A promising future for Indian fisheries and aquaculture sector

Empirical analysis of Indian mobile apps and IoTs in fisheries sector was performed using virtual information where features, downloads, ratings, space, year of publication were recorded. Total of 30 Indian mobile apps out of which, 12 were related to aquaculture whereas 9 each for marine fisheries and marketing were recorded. First app Aqua Brahma was published in 2015 and most recent Mathsya kiran was published in 2019. Daily Fish India had highest (1, 00,000+) downloads. Fish disease advisory, Sagar vani developed in 2018 had 500+ downloads each and Mathsya Kiran had highest rating i.e., 5/5. Most apps (17) had ratings between 4 to 5. Correlations showed that app size and ratings did not affect downloads. Government organisations have developed 15 apps. Three companies Eruvaka technologies, cFog, Aquaconnect are developing fish farm IoT systems so future looks promising. Study recommends capacity development of fisheries professionals in Artificial Intelligence (AI), mobile apps and IoTs.
Research Guides: ENG 112 Smith (Housing): Find eBooks

This guide should assist students in Lauren Smith's English 112 class with the final essay assignment about housing.
A Visual Tracking Method to Explore the Effect of Presence on Online Consumers

The online advertisements (ads) with presence design are widely proved to be more appealing for attracting users’ attention. However, the different visual processing mechanism towards presence design and consumers’ involvement has not been well investigated. This study combined subjective evaluation with eye-tracking data to investigate the effect of consumers’ involvement on their visual attention to online ads with different sense of presence. Refined and re-calibrated presence scale and approaching-avoidance trend scale were constructed to respectively measure consumers’ perceived sense of presence and behavioral intention to online ads. Two tasks were designed to simulate different sense of user involvement. In task one, participants just freely browsed two banner ads. Meanwhile binary choices were used in task two to ask participants to select one with higher purchase intention from two vertical search ads and then click the mouse. Both tasks were completed by each participant whose eye movement data was recorded by an eye-tracker. The perceived sense of presence and corresponding behavioral intention of each two ads were evaluated after each task. The results showed that online ads with high presence will significantly increase consumers’ fixation counts, revisit counts, saccadic counts, blink counts in browsing-driven task which will significantly improve consumers’ stickiness. As to purchasing-driven task, however, online ads with high presence will reduce fixation counts, saccadic counts, blink counts which indicates that the online ads with high sense of presence can reduce the difficulty of information extraction, thus helping the customer to make purchase decisions effectively.
LibGuides: Jazz: Scores

This is a library guide for students interested in Jazz. How to find a score in the library or online.
Understanding Work Practices of Autonomous Agile Teams: A Social-psychological Review

Abstract The purpose of this paper is to suggest additional aspects of social psychology that could help when making sense of autonomous agile teams. To make use of well-tested theories in social psychology and instead see how they replicated and differ in the autonomous agile team context would avoid reinventing the wheel. This was done, as an initial step, through looking at some very common agile practices and relate them to existing findings in social-psychological research. The two theories found that I argue could be more applied to the software engineering context are social identity theory and group socialization theory. The results show that literature provides social-psychological reasons for the popularity of some agile practices, but that scientific studies are needed to gather empirical evidence on these under-researched topics. Understanding deeper psychological theories could provide a better understanding of the psychological processes when building autonomous agile team, which could then lead to better predictability and intervention in relation to human factors.
LibGuides: Curbside Services and Requesting Library Items: FAQs

This guide will outline the process on how to request library items and schedule a curbside pickup once ready.
Enhancing Lifeguard Training through Virtual Reality

According to the CDC, over three thousand people die every year from drowning in the United States. Many of these fatalities are preventable with properly trained lifeguards. Traditional lifeguard training relies on videos and mock rescues. While these methods are important, they have their shortcomings. Videos are static and do not build muscle memory. Mock rescues are labor-intensive and potentially put others in danger. Virtual reality (VR) can be used as an alternative training tool, building muscle memory in a fully controlled and safe environment. With full control over variables such as weather, population, and other distractions, lifeguards can be better equipped to respond to any situation. The single most important aspect of life guarding is finding the victim. This head rotation skill can be practiced and perfected in VR before guards ever get onto the stand. It also allows guards to practice in uncommon but nevertheless dangerous conditions such as fog and large crowds. VR also allows the user to get immediate feedback about performance and where they can improve.
(1901-4946) On the use of Heronian means in a similarity classifier

This paper introduces new similarity classifiers using the Heronian mean, and the generalized Heronian mean operators.We examine the use of these operators at the aggregation step within the similarity classifier. The similarity classifier was earlier studied with other operators, in particular with an arithmetic mean, generalized mean, OWA operators, andmany more. The two classifiers here are tested on four real world data sets, i.e., echocardiogram, fertility, horse-colic, and lung cancer. Three previously studied similarity classifiers are used as benchmarks to the new approaches. Weobserve that the similarity classier with a generalized Heronian mean produces good classication results for the tested data sets, and is therefore more suitable for use in these classification problems.
Research guides: VPMC01H3 Exploring Community Music: Saving Citations

A guide aggregating resources you will need to successfully complete your assignments for VPMC01H3
Editing and styling

The purpose of the discipline is to form students' knowledge system on the rules of literary editing of texts of different styles of the Ukrainian language and the ability to apply them in practice.
Comparison between OpenStack virtual machines and Docker containers in regards to performance

Cloud computing is a fast growing technology which more and more companies are starting to use throughout the years. When deploying a cloud computing application it is important to know what kind o ...
Combining Character and Word Embeddings for the Detection of Offensive Language in Arabic

Twitter and other social media platforms offer users the chance to share their ideas via short posts. While the easy exchange of ideas has value, these microblogs can be leveraged by people who want to share hatred. and such individuals can share negative views about an individual, race, or group with millions of people at the click of a button. There is thus an urgent need to establish a method that can automatically identify hate speech and offensive language. To contribute to this development, during the OSACT4 workshop, a shared task was undertaken to detect offensive language in Arabic. A key challenge was the uniqueness of the language used on social media, prompting the out-of-vocabulary (OOV) problem. In addition, the use of different dialects in Arabic exacerbates this problem. To deal with the issues associated with OOV, we generated a character-level embeddings model, which was trained on a massive data collected carefully. This level of embeddings can work effectively in resolving the problem of OOV words through its ability to learn the vectors of character n-grams or parts of words. The proposed systems were ranked 7th and 8th for Subtasks A and B, respectively.
LibGuides: Saxophone: Sound Recordings

This is a library guide for students and professors who study and play the saxophone. The library has Vinyl records, Compact Discs, and Databases with recordings