Reviewerly/exHarmony huggingface dataset:
The Hwanggeuk Faith’s ‘New Nation-Building Movement’ during the Period of Japanese Colonial Rule in Korea

The original name of the Hwanggeuk faith (-gyo) that was organized in secret in 1926 was Hwangseokgong (Chinese, Huángshígong)-gyo. Although it was known that the founder was Jeong Hae-do who was a fictitious character, the Hwanggeuk-gyo was established and governed by Eun Se-ryong.BR He held sacrificial services for scores of royal governors including Jeong Mong-ju of the Goryeo Dynasty to awaken the spirit of independence of the Korean people at Dumun-dong, Gaeseong on July 7 in 1935 by the lunar calendar. By holding the ancestral services with symbolic meanings to acquire and imbibe the patriotism of Goryeo, he intended to instil in the adherents an anti-Japan consciousness. In addition, he predicted that Jeong Hae-do would come forth in the world from Mt. Gyeryong and come to the throne after he held a sacrificial service dedicated to heaven. He also foretold that Korea would rid itself of its colonial status and achieve independence when Jeong comes to the throne. It was Hwanggeuk-gyo’s ‘New-Nation Building Movement.’BR The Hwanggeuk-gyo’s ‘New-Nation Building Movement’ signified the independence of Korea. That is, it signified the intention that Korea would establish a new nation if Jeong Hae-do became king of Korea. It was a type of political prophecy presented to the people who dreamed of a new world. Such a prophecy was a very disquieting to the Japanese imperial government. It reminded the Korean people of Bocheon-gyo, which exercised a considerable influence around Jeongeup of Jeonbuk, and also recalled the ‘New Government-Building in the Ideal Land of the Later Days’ based on new religions derived from the Bocheon-gyo. According to the records kept by the Japanese authorities, Bocheon-gyo’s staff organized Hwanggeuk-gyo.BR Eun Se-ryong and his devotees were arrested by the police while preparing for the construction of the ‘Grave for the Three Emperors (samhwang-myo)’ at Mt. Gyeryong as a place for holding the service to Heaven (cheon-je) when Jeong Hae-do came forth in the world in January in 1937 by the lunar calendar. Hwanggeuk-gyo presented a new possibility of new nation-building to the people who were oppressed under colonial rule. In those times, new religions of Korea were national religions based on anti-Japanese sentiment and patriotism, not private religions. Therefore, they were closely related to activities to achieve the independence of the Korean people both in ideological and social terms. The Japanese government considered the activities to be of an “organization with the aim of changing the national polity.”
Moore FSM Sequence detector

With recent technological advancements, modern societies are becoming more and more dependent on the automated machines. It is in order to scope with their fast-going lives. Modern automated machines adapt their sequence of actions depending on their environment and events. The FSM (Finite state machine) is used to mathematically express those sequences of actions or instructions. In this article two FSM machines types, Moore and mealy, are discussed. Showing different results in order to demonstrate the importance of FSM modeling. An edge detector circuit is designed by employing Moore machines. It is a FSM design example, can be used for student’s concepts building and demonstration. These designs are implemented in Verilog. A comparison is also made based on both implementations.
LibGuides: COVID-19: Students

This guide is to assist students and faculty with their research and instructional needs for library resources during the transition of online learning due to COVID-19.
Using AR Mechanics and Emergent Narratives to Tell Better Stories

In games like BioShock and Half-Life 2, most storytelling does not happen with words. Graphic design, sound design, environmental architecture, and experiential cues put the player in the space, tell the story, and teach users to play the game. Together, these components tell the player what to afraid of, when to run or when to approach with caution, when to draw your gun, and when to jump on a monster’s head. Augmented reality, or AR, does not merely introduce users to a new world. It introduces users to a new world every time they start a new play session. These design techniques present a basic layout for a new physical vocabulary of game design and user interaction. How do traditional game experiences, and this existing well-defined vocabulary, transfer to augmented reality experiences? In AR, the user’s main game mechanic is simply existing in the space. Moving your phone or device around is an act of exploration and discovery. Each physical movement leads to a new variation on the experience, revealing a new slice or a new aspect of the AR world.
Twitter Sentiment Analysis

Analyzing peoples sentiments is having lot of applications in bisiness marketing, politics and public actions.  The purpose of the present work is to get in people’s insight from their profiles in contrast to traditional ways of obtaining information about perceptions.The objective of this task is to detect hate speech in tweets. The methodology used in present paper is Logistic Regression . The initial stages are , understand the Problem Statement , Tweets Preprocessing and Cleaning , Removing Twitter Handles , Removing Punctuations, Numbers, and Special Characters , Removing Short Words , Tokenization  and  Stemming. Using the Python programming we have shown the results for current topics.
Experimental Analyses in Search of Effective Mitigation for Login Cross-Site Request Forgery

Advancements in web applications and on-line services continue to stimulate business growth and other applications across the globe. Alongside these developments are the increasing cyber security risks and vulnerabilities, inevitably entailing mitigations. Web application vulnerabilities are security holes, which attackers may attempt to exploit, hence potentially causing serious damage to business, such as stealing sensitive data and compromising business resources. Since web applications are now widely used, critical business environments such as internet banking, communication of sensitive data and online shopping, require robust protective measures against a wide range of vulnerabilities. This work explores remediation methods – HTTP header verification, tokenisation and challenge-response authentication of vulnerabilities against login CSRF attacks. Experiments comprising of nine test cases with the three mitigation methods and three vulnerabilities are conducted to identify whether exploitation of vulnerabilities was able to bypass a mitigation method and how the mitigation behaved in web applications of virtual environments. Using techniques and specific scripts of simulated web applications, three mitigation methods are mapped to the exploitation of the three vulnerabilities in different settings in search of an optimal solution. Results indicate that the HTTP header verification was not successful in protecting users from clickjacking exploitation, while it was successful in protecting against XSS and CSRF attacks. Further, exploitation of the three vulnerabilities bypassed the tokenisation mitigation and XSS attacks were prevented by challenge-response authentication, although exploitation of clickjacking and CSRF defeated the mitigation. The significance of these results lies in the fact that different methods are effective or ineffective in different conditions and therefore no single solution can be considered as most appropriate for web applications. The study concludes that best practices can be sought through empirical and experimental studies, via which observation and analysis of behaviours of different solutions under different scenarios of attacks are conducted. Such experiments, designed to bypass mitigations, provide insights into robust and appropriate implementation approaches and, in the era of Artificial Intelligence and Big Data, they should be routinely and automatically conducted.
Research Guides: Library Workshop Descriptions: Introduction to Mendeley

Information, materials, and schedules for all currently offered library workshops Workshops offered by UO Libraries on using Wordpress
LibGuides: Primary Sources for Catoctin Students: What is a Primary Source?

Use the databases and other tools in this guide to serach for and use primary sources in your research.
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking

In recent years, the background-aware correlation filters have achie-ved a lot of research interest in the visual target tracking. However, these methods cannot suitably model the target appearance due to the exploitation of hand-crafted features. On the other hand, the recent deep learning-based visual tracking methods have provided a competitive performance along with extensive computations. In this paper, an adaptive background-aware correlation filter-based tracker is proposed that effectively models the target appearance by using either the histogram of oriented gradients (HOG) or convolutional neural network (CNN) feature maps. The proposed method exploits the fast 2D non-maximum suppression (NMS) algorithm and the semantic information comparison to detect challenging situations. When the HOG-based response map is not reliable, or the context region has a low semantic similarity with prior regions, the proposed method constructs the CNN context model to improve the target region estimation. Furthermore, the rejection option allows the proposed method to update the CNN context model only on valid regions. Comprehensive experimental results demonstrate that the proposed adaptive method clearly outperforms the accuracy and robustness of visual target tracking compared to the state-of-the-art methods on the OTB-50, OTB-100, TC-128, UAV-123, and VOT-2015 datasets.
Text Corpus and Acoustic Model Addition for Indonesian-Arabic Code-switching in Automatic Speech Recognition System

Code-switch is a common phenomenon found during daily conversation, especially in Indonesia. In this Muslim-majority country, the occurrence of Arabic Language during conversation is quite frequent. Unfortunately, there has not been any special handling done to minimize errors caused by Indonesian-Arabic code-switching occurrences. The handling can be done on several levels. In the lexicon, Arabic vocabularies are added. Code-switching sentences are also added into the training text corpus to improve the language model. On the acoustic model, we apply Indonesian-Arabic phone merging by using the IPA (International Phonetic Association) rule to improve the performance of the acoustic model. Recognition of code-switch speech Indonesian-Arabic achieved WER (Word Error Rate) improvement of 20.87% from the baseline system. OOV rate and perplexity of the system also improved.
Retrospect and Reflection on the Study of Japanese Nogaku

Based on the comprehensive collection the relevant literatures on the study of Japanese Nogaku in China, this paper classifies and summarizes the relevant literatures, and then comprehensively discusses the production and development of Japanese Nogaku, the comparison between Nogaku and other operas, the aesthetic concept of Nogaku and the research on the related issues of Nogaku, and make an objective evaluation, aiming at improving the cognitive level of Japanese Nogaku Research in China.
LibGuides: Intro to Education: Find Books

Created with help from Veronica Stewart of UAPTC How to find and use books in your research projects.
Enterprise Network Hardware Refresh

It is essential to keep the Network Hardware up and running in good condition to support enterprise applications connectivity. Network performance plays a critical role in providing adequate bandwidth to the collaboration tools for an organization.The average life of the some of the network equipment ranges between 3-5 years, however some may last more than 5 years based on the type of hardware and technology used. The older technology may add performance barriers in the enterprise network.Performing a Network hardware refresh can be a tedious and complicated task depending on the amount of devices and the architecture. Let us try to understand how to perform a hardware refresh for your Network that function in an enterprise and the types of devices that function in different layers in an OSI model.
LibGuides: *Curbside Pick - Up / Return: Curbside Pick - Up

Curbside pick up and returns is available for Technology and Library books. Please call us at 636-584-6560
LibGuides: Stay Safe, Stay Informed, Stay Entertained: Staying Fit

Use this guide to stay informed, find out about Library programs, download econtent and take some time for yourself.
Research on Evaluation Factors of Intelligent Level of Dam Safety Monitoring System

Abstract With the continuous improvement of intelligence level, intelligent evaluation of a safety monitoring system has become the key to system evaluation. In order to improve the pertinence of evaluation, according to the application environment and demand of dam safety monitoring, this paper makes an in-depth study on the evaluation factors of the intelligent level of dam safety monitoring system from the system occurrence environment, system composition, network communications, system function and performance, channel protection and power control, remote maintenance, system parameters, running log, statistical analysis, rule discovery, hidden trouble diagnosis, maintenance advice, method and expert recommendation algorithm, intelligent query and human-computer interaction, etc., providing a beneficial reference for the evaluation of improving the intelligent level of dam safety monitoring system.
Blockchain in the Internet of Things: Architectures and Implementation

The world is becoming more interconnected every day. With the high technological evolution and the increasing deployment of it in our society, scenarios based on the Internet of Things (IoT) can be considered a reality nowadays. However, and before some predictions become true (around 75 billion devices are expected to be interconnected in the next few years), many efforts must be carried out in terms of scalability and security. In this study we propose and evaluate a new approach based on the incorporation of Blockchain into current IoT scenarios. The main contributions of this study are as follows: i) an in-depth analysis of the different possibilities for the integration of Blockchain into IoT scenarios, focusing on the limited processing capabilities and storage space of most IoT devices, and the economic cost and performance of current Blockchain technologies; ii) a new method based on a novel module named BIoT Gateway that allows both unidirectional and bidirectional communications with IoT devices on real scenarios, allowing to exchange any kind of data; and iii) the proposed method has been fully implemented and validated on two different real-life IoT scenarios, extracting very interesting findings in terms of economic cost and execution time. The source code of our implementation is publicly available in the Ethereum testnet.
Improved Viola-Jones Face Recognition Using Tracking

Optimization of accuracy has been an important study in the study of face recognition for 2 decades. Varied facial features and changing poses in a short amount of time make optimizing accuracy even more complicated. This study aims to improve the accuracy of face recognition of the Viola-Jones method on moving objects by adding a tracking algorithm. The tracking algorithm used in this study is the Continuously Adaptive Mean Shift (Camshift) algorithm. This algorithm is the development of the Mean Shift algorithm which continuously adapts or adjusts to the color probability distribution that is always changing with each change of frame of a video sequence. The addition of tracking significantly increases accuracy compared without tracking by 96%.
Region-Based Background Modeling and Subtraction Method Using Textural Features

In this paper, we propose a region-based method using texture features for background modeling and subtraction in video sequences. To ensure the robustness of the proposed approach illumination changes and noise, we propose to combine the worthy properties of the texture analysis, particularly the local binary patterns and the region-based approaches. Experiments on outdoor videos attained satisfactory results in terms of both qualitative and quantitative results.
Collaborative Filtering Based on Factorization and Distance Metric Learning

Collaborative filtering predicts user preferences by modeling the user's historical behavior. Matrix factorization plays an important role in collaborative filtering. Matrix factorization use dot product to predicts rating. Nevertheless, the dot product does not satisfy the triangle inequality, which may limit their expressiveness and lead to sub-optimal solutions. This paper combines metric learning and distance factorization. Firstly, convert the scoring matrix to a distance matrix. Then the distance matrix is factorization by metric learning to obtain the position of users and items in low-dimensional Euclidean space. User preferences and distance are negatively correlated, the user is closer to the favorite item and farther away from the unloved item, that is, the user's preference is reflected by the distance. Experiments conducted on real-world data sets have shown that compared with classical algorithm, our method significantly improves the accuracy of recommendations.
Metacognitive Strategies Used to Improve Reading Skills by English Good Achievers: A Case Study in Eleventh Grade at SMA N 1 Ngemplak in 2019/2020 Academic Year

This study is to describe (1) metacognitive strategies used by high achieving students in Ngemplak secondary school in learning to improve reading skills, and 2) students' tendency to use metacognitive indicators of strategy. Data collection methods used were through questionnaires and interviews. Data analysis uses data reduction, data display. The results showed that (1) students used learning strategies by delaying to focus on listening; (2) students are able to pay attention in class (3) students are able to plan assignments.
The Rapid Anistropic Diffusion Model Based on Mi-shaped and Hyperbolic Tangent Function

In this paper, an image denoising processing model based on anisotropic diffusion is proposed. Firstly, the direction of diffusion of mi-shaped type is put forward, and the anisotropic diffusion model is extended from the traditional 4 direction to the 8 direction, which enhances the details and edges of the image. Secondly, a diffusion coefficient function based on hyperbolic tangent function is constructed. The model is based on the relationship between image gradient and diffusion function, and has faster convergence speed. Therefore, the proposed method can effectively preserve edges, textures, thin lines, weak edges and details while preventing step effects. The experimental results show that the method of this paper has advantages in both denoising effect and denoising time.
Li Shanlan’s Achievements in Scientific Translation and His Contributions to the Modernization of Chinese Sciences

Li Shanlan is a well-known translator, scientist and educator in the late Qing Dynasty of China. He published 8 great translation works in his lifetime, totaling 104 volumes. Li’s translation works encompass many important fields of modern western sciences -- mathematics, astronomy, mechanics and botany. His erudite knowledge, profound research, and far-sighted vista mark the translator somebody in the Chinese history. This paper firstly discusses Li Shanlan’s specific scientific translations, and then analyzes and points out that his great contributions to the modernization of Chinese sciences. The pioneer Li has not only disseminated western scientific knowledge and laid the foundation for the disciplinary knowledge system in China, but has also cultivated a large number of talents to meet the development and construction in modern Chinese sciences. Moreover, many scientific terms he translated and created are still in use today, consistently yielding a positive effect on the contemporary Chinese sciences and education.
Åklagarens objektivitetsplikt - Fallet Thomas Quick utifrån ett rättssäkerhetsperspektiv

In recent years, the prosecutor's duty to act objectively has received special attention due to the case of Thomas Quick. During the 90’s, Quick confessed to over 30 murders, of which he was convicted for eight of them. However, all this changed in the year of 2008 when he took back his confessions. This led to a number of re-trials, where Quick eventually was cleared from all charges. Extensive criticism against the criminal proceedings has been made in both courts and the media. Against this background, the Bergwall Commission ruled that the duty to act objectively was waived in numerous cases by the prosecutor. The duty to act objectively is a fundamental principle in criminal law and forms a cornerstone in the prosecutor's role. The principle aims to guarantee the legal security for individuals and places high demands on the prosecutor. The main purpose of this essay is to examine the prosecutor's duty to act objectively and in what way it is important for the legal security. Therefore, the thesis mainly describes the duty of objectivity. Nonetheless, acknowledgments are also dealt with briefly. Moreover, the essay investigates the Bergwall Commission’s report and what is has led to. The thesis is characterized by a legal security perspective.The conclusion that can be drawn from the analysis is that the prosecutor's duty to observe objectivity is very far-reaching and in principle without exceptions. There is a strong connection between the duty and the individual's legal certainty. Therefore, deficiencies in complying with the duty of objectivity can have serious consequences for the legal security. Furthermore, it is stated that the Bergwall Commission's report has led to several changes within the Prosecutor's Office. Finally, the essay also discusses problems that may arise when fulfilling the duty of objectivity and possible necessary changes.
Fretless Architecture – Guest Lecture/Seminar

The fretless electric guitar remains relatively unexplored due to its young age and ‘prepared’ nature, and it features increasingly in popular music and the neo-traditional music(s) of West-Asia. This research considers its use in broader, more contemporary, and eclectic settings – both as a solo instrument and within different ensembles – exploring extended performance techniques; including an engagement with technological augmentation (expressly the use of effects pedals, loops, E-bow etc.), to discern new timbres. This lecture-recital will begin with a discussion of various performance techniques specific to the fretless electric guitar, as well as any discoveries of new techniques and sounds which have emerged from my personal practice. This will be followed by a solo, part-composed/part-improvised performance, demonstrating how such techniques and sounds might be used in a contemporary music context.
A Webometric Assessment of NIRF-ranked Indian Institutes of Technology

The study compares two different ranks, namely, India Rankings and Webometric ranks, which use composite indicators. IITs which figure in India Rankings 2018 were considered for the study. Webometric analysis of these IIT websites was carried out. The websites were ranked based on Webometric ranking indicators. Spearman's rank order correlation test was conducted on NIRF ranks and Webometric ranks. The test reported a high degree of positive correlation (rho=0.824) between the two sets of ranks. The correlation was statistically significant (p-value = 0.001). The study makes certain recommendations to improve the Web visibility of IIT websites.