Reviewerly/exHarmony huggingface dataset:
Online Exam System to Improve Student Learning Quality in State Vocational School 5 Tangerang City

The aim of this research is designing an online examination system at SMK Negeri 5 Kota Tangerang. This time, the system used in assessing exam results is done by correcting each question of each student's answers. It is not only increasing the operational costs of schools, but also the risk that leaked exam questions very vulnerable. As well as scheduling the exam must consider the limited number of rooms and require a lot of time. The method of collecting datais used observation, interview and literature study. And the system analysis method is used to determine the number of functional and non functional requirements. The design method uses Unified Modeling Language (UML) with the MySQL database system. This visual paradigm function is to make use-case diagrams, sequence diagrams, and activity diagrams and class diagrams. The use-case diagram of this system consists of use case diagrams of students, teachers, and teachers admin system and PHP programming language, for writing program listings using Dreamweaverand implementing the system. By using online examination system the quality of student learning will be improved, lowering school administration costs and preventing question leakage and exam scheduling to become more flexible.
IMPLEMENTATION AND DESIGN OF BCD ADDER USING QUBIT GATES FOR QUANTUM APPLICATIONS

Reversible Logic is an emerging technology, it has hellocious applications in various fields. Reversible logic implementation reduces loss of entropy because of bit manipulations. . In this work we present a novel design of reversible 2 DIGIT BCD ADDER using INTEGRATED QUBIT GATES. The reversible BCD adder is designed from 2*2 control V, Control V+, CNOT, MTSG,FREDKIN[4],FEYMAN ,INTEGRATED QUBIT GATES. The design of proposed reversible adder- requires minimum quantum cost ,delay by maintaining ancilla inputs and garbage outputs.
Kindergarten Classroom Website: A Usability Study of a Teacher Website

This 25-page paper was written to complete the Learning Design and Technology Master's program. The results from the usability study were presented at the 2020 Technology, Colleges and Community Worldwide Online Conference in the form of a PowerPoint presentation.
The Impact of Metacognitive Judgments on Restudy Decisions and Learning Outcomes

An important component of self-regulated learning is deciding what items to restudy. Prior work has shown participants who study using predictions of future performance success choose to restudy more items than those who make restudy decisions based off of past retrieval success. In this study we tested whether those different decisions translated into differences in learning outcomes.
How To Change Your Phone’s Location On Android

In this blog post, I will thoroughly explain how to change the location on an Android phone. When you change the location on ...
An AI Based Chat-Bot for Providing Health Services

India is a country with a population of more than 1.33 billion. Yet the lack of medication is a crisis here. To overcome and resolve these issues we set to create an Artificial intelligence (AI) based Chat bot.  This chat bot will be having the potential to provide patients with access to immediate medicinal information based on t heir queries.  We will be developing a website accessible to people all over India. These bots connect patients visiting the site, helping them to discover specialists, fixing their appointments and getting access to proper treatment. By asking questions in series it helps patients by guiding what exactly he/she is looking for and helps in fixing appointments for the user, suggest the specialist of a particular domain for example if the user is dealing issues with heart it suggest the specialized cardiologist around the user according to the timelines of the doctor and the user , incase if the user needs to find the laboratory for example like X-ray lab or microbiological lab for the medicinal tests etc the chat bot provide the information of the labs available in area and its opening and closing time which also fixes the appointments for user , the same chat bot also gives the availability of medicinal drugs available near them if and only if it is prescribed by the doctor through this chat bots portal. The design of this software is done through a combination of NLP (Natural Language Processing) and Machine Learning.
LibGuides: Getting Into Comics & Graphic Novels: Home

This guide is for anyone who has an interest in reading comics and graphic novels, but is not sure where to begin.
Research Guides: NorQuest College Student Survey - Information and FAQ's: International Student Services

Find answers to frequently asked questions by students asked while conducting the NorQuest College student phone survey for Spring term 2020.
LibGuides: Library Research Navigator: Getting Started

Your preliminary source of information and guidance as you begin or continue with your research journey.
Machine Learning for Anomaly Detection under Constraints

Anomaly detection systems can be effectively constructed using machine learning methods. However, the baseline methods do not naturally support functionality for scenarios with constraints imposed by the environment and limited resources. Motivated by the lack of such approaches, we investigate scenarios where anomaly detection can be improved for these conditions. We develop and evaluate approaches for solving anomaly detection problems in case of online learning, limited reliability of input data and labels, and data acquisition constraints. Our approaches show improvements in detection and analysis of anomalies in data under these conditions.
한국의 중소기업에 대한 사이버 보안 위협, 거버넌스 방안 및 시사점

This paper provides an assessment of current cyber security threats in South Korea and its national cyber security governance measures. Particularly, through a detailed examination of relevant literature, we critically evaluate the extent to which its national governance is structured to protect its SMEs. We discover and discuss the key cyber security threats in South Korea, including cyberterrorism, cyber financial and trade fraud. We critically assess existing mitigation measures to reduce these threats, including key government agendas, reporting mechanisms, and other initiatives. We reveal that the governance is still operating under a post-crime orientation of punishment rather than the pre-crime logic of prevention. It features an absence of i) a national cyber security framework; ii) an issue-based approach for governance initiatives; and iii) localised reporting mechanisms. As a result, it needs to increase attention to the cyber security risks faced by SMEs and to embrace a proactive response system.
LibGuides: All about Books: Home

This LibGuide will give you information about books and reading. Keep up to date with the latest books and get some great recommendations.
LibGuides: Business and Technology Campus - Have Library Items Delivered to the BT Library: Have Library Items Delivered to BT using KC Towers and MOBIUS Catalogs

This guide demonstrates how to locate library books and have them delivered to the BTC Library Use the KC Towers and MOBIUS Catalogs to have library materials delivered to the BT Library
LibGuides: Reading Framework LibGuide Grade 5: Overview

The course is designed to help teach students how to develop strong comprehension skills while becoming strategic readers in an active literacy classroom. In order to develop critical and creative thinking skills, students will analyze various texts which
UCC LibGuides: Game Design and Development: Blogs

This guide is designed for students in the Game Design and Development A.A.S. (Associate in Applied Science) program.
Download BlueStacks on Chromebook in 2020 (Official Latest)

Bluestacks which was founded back in 2009, started a revolution to connect the gap between mobile and PC ecosystems. Bluestacks can run your favorite ...
Evaluating the Ratio of Alive Code in Java Third-Party Libraries : A Comparison between a Static and a Dynamic Approach

Today’s software development heavily relies on the use of third-party libraries. However, some libraries have a rich set of functionalities where only a few of them are used. This leads to an unnec ...
High-Capacity and Robust Watermarking Scheme for Small-Scale Vector Data

For small-scale vector data, restrictions on watermark scheme capacity and robustness limit the use of copyright protection.A watermarking scheme based on robust geometric features and capacity maximization strategy that simultaneously improves capacity and robustness is presented in this paper.The distance ratio and angle of adjacent vertices are chosen as the watermark domain due to their resistance to vertex and geometric attacks.Regarding watermark embedding and extraction, a capacity-improved strategy based on quantization index modulation, which divides more intervals to carry sufficient watermark bits, is proposed.By considering the error tolerance of the vector map and the numerical accuracy, the optimization of the capacity-improved strategy is studied to maximize the embedded watermark bits for each vertex.The experimental results demonstrated that the map distortion caused by watermarks is small and much lower than the map tolerance.Additionally, the proposed scheme can embed a copyright image of 1024 bits into vector data of 150 vertices, which reaches capacity at approximately 14 bits/vertex, and shows prominent robustness against vertex and geometric attacks for small-scale vector data.
Determine key drivers of employee engagement among nurses in a healthcare sector: a case of KPJ Damansara Specialist Hospital / Nurfitryannie Asik

Employee engagement is becoming a major concern to employers in the era of globalization particularly in the healthcare industry. In the Malaysian context the healthcare industry is becoming more attractive and it is preferred by patients all over the world. Thus, employee engagement can be described as employee that show full commitment towards their job; physically and emotionally in order to achieve the organizational goal. This conducted because study on engagement among nursing has not yet been synthesized, thus there is insufficient foundation of knowledge to regulate practice and there is urgency for further research. The purpose of this research is to investigate key drivers of employee engagement among nurses in a healthcare sector specifically in KPJ Damansara Specialist Hospital. This study used convenience sampling techniques and online questionnaire as an instrument to collect data. Respondent feedback is 72% out of 305 nurses whereby those data then evaluated by using SPSS Version 22 Software. The result from Multiple Regression analysis indicates that two variables of employee engagement; work life balance and leadership have positive and significant relationship with employee engagement while communication is not significant. Lastly, work life balance found to be the most influential variables towards employee engagement among nurses in KPJ Damansara Specialist Hospital.
Best Nootropics 2020: Top Supplements for Brainpower

If youre looking to improve your brain power, youll be familiar with the term nootropics. These are smart drugs which are claimed to boost your brain ...
A Study on Strengthening Plan of Narrative-based Character Education

The purpose of this study is to analyze the problems of character education in schools and to suggest ways of teaching narrative character education-focused on the classes-as a way to improve them. The researcher examined the relevance of character education to the core competencies of the 2015 revised curriculum. Afterwards, three problems of existing character education were presented and to solve them, the reorganization of achievement standard reflecting character virtue, student-centered narrative class, and transition to process-based qualitative evaluation were proposed.
Library Guides: Library Seminar Room Booking System: Home

Information on how to book a seminar room for students and staff in the Luke Wadding Library.
Computing Centroidal Voronoi Tessellation Using the GPU.

We propose a novel algorithm to compute centroidal Voronoi tessellation using the GPU. It is based on the iterative approach of Lloyd’s method while having good considerations to address the two major challenges of achieving fast convergence with few iterations, and at the same time achieving fast computation within each iteration. Our implementation of the algorithm can complete the computation for a large image in the order of hundreds of milliseconds and is faster than all prior work on a state-of-the-art GPU. As such, it is now easier to integrate centroidal Voronoi tessellations into interactive applications.
Involving Lexicographers in the LLOD Cloud with LexO, an Easy-to-use Editor of Lemon Lexical Resources

In this contribution, we show LexO, a user-friendly web collaborative editor of lexical resources based on the lemon model. LexO has been developed in the context of Digital Humanities projects, in which a key point in the design of an editor was the ease of use by lexicographers with no skill in Linked Data or Semantic Web technologies. Though the tool already allows creating a lemon lexicon from scratch and lets a team of users work on it collaboratively, many developments are possible. The involvement of the LLOD community appears now crucial both to find new users and application fields where to test it, and, even more importantly, to understand in which way it should evolve.
Download MX Player APK for Tizen OS & Samsung Phones

MX Player for Tizen & Samsung Phones: Even though Android has taken over the mobile world by storm, there are still some platforms that don’t ...
Providing Hints, Next Steps and Feedback in a Tutoring System for Structural Induction.

Structural induction is a proof technique that is widely used to prove statements about discrete structures. Students find it hard to construct inductive proofs, and when learning to construct such proofs, receiving feedback is important. In this paper we discuss the design of a tutoring system, LogInd, that helps students with constructing stepwise inductive proofs by providing hints, next steps and feedback. As far as we know, this is the first tutoring system for structural induction with this functionality. We explain how we use a strategy to construct proofs for a restricted class of problems. This strategy can also be used to complete partial student solutions, and hence to provide hints or next steps. We use constraints to provide feedback. A pilot evaluation with a small group of students shows that LogInd indeed can give hints and next steps in almost all cases.
Fixed-Size Objects Encoding for Visual Relationship Detection

In this paper, we propose a fixed-size object encoding method called FOE-VRD to improve performance of visual relationship detection tasks. For each relationship triplet in a given image, FOE-VRD not only considers the subject and object, but also uses one fixed-size vector to encoding all background objects of the image. In this way, we introduce more background knowledge to assist the relationship detector for better performance. We firstly use a regular convolution neural network as a feature extractor to generate high-level features of input images. Then, for each relationship triplet, we apply ROI-pooling as the feature generator on the bounding boxes of subject and object to get two corresponding feature vectors. Moreover, we propose a novel method to encode all background objects in each image by using one fixed-size vector (i.e., FBE vector). By concatenating the 3 generated feature vectors, we successfully encode the relationship using one fixed-size vector. The generated feature vector is then feed into a fully connected neural network to get the predicate classification result. Experimental results on VRD and Visual Genome databases show that the proposed method works well on both predicate classification and relationship detection tasks, especially on the situation of zero-shot detection.
An X-Bar Analysis of English and Okun Noun Phrase Structures

This study seeks to contrast the phrase structures of English and Okun languages. The main objectives of this research are to: identify areas of similarities and differences and account for the difficulties the structural differences are liable to pose to Okun learners of English and vice-versa. The version of x-bar developed by Chomsky is the model of analysis adopted in this research because: it has been established that the theory captures the structural analysis of English and most languages across the globe; it presupposes that all languages share certain structural similarities which are not adequately captured in the analysis of the phrase structure rules for English and most natural languages – Okun inclusive and it also probes into the correctness and applicability of right branching linguistic tenet to Okun phrase structure. This study reveals  that there are structural similarities in the noun phrase structures of the languages contrasted as: NPs have the capacity to serve as subjects, objects, complements and appositions in sentences; compound linguistic entities possess structural alignment; specifier of a phrase in both languages contrasted has a linguistic designated head which signals its grammaticality, correctness and acceptability; it confirms that while functional heads legislate on the structure of an expression, lexical heads regulate the meaning of the phrase structures of the contrasted languages as a result of their influence over elements within their respective scopes.  This research also portrays that there are structural differences in the phrase structures of the two languages analysed as specifiers majorly adhere to left branching linguistic tenet in English while they (specifiers) maintain the right branching tenet in Okun.
Guides: Online Library Resources and Services: Citing Sources

Guide to online Library services and research resources available to students during WCC campus closure
Web 3.0 Is The Third Generation Web – What Can We Expect?

In this blog post, I will tell you everything you need to know about Web 3.0. In the infancy of the web, Web 1.0 and 2.0 were never clearly defined. ...
5 Most Recommended VPN: A Brief Review

In this time and age when security and privacy are huge issues, youre going to need a VPN when going online. Many people all over the world still ...
LibGuides: Info Literacy: Abstracts, Literature Reviews, and Annotated Bibliographies: Home

This Libguide explains what abstracts, literature reviews, and annotated bibliographies are and offers insights into the form and construction of these types of writing.
Security and Privacy Implementation Framework as a Result of the Digitalization Process for Organizations in Different Industries

Computer security, cyber-security or security of information technologies is the field that has to do with the protection of the computer infrastructure and/or telematics and all the information contained in it. This area includes any type of software such as databases or files, hardware, computer networks and anything that involves confidential information on a computer. Security audit assessments have become key tools for organizations due to the increasing number of cyber-attacks. Increasingly, organizations need to strengthen their defenses against data breaches, cyber-crime and fraud, and to ensure a more robust security posture. Considering the aforementioned aspects, this paper introduces the digitalization process within organizations, the cyber-security types of threats and countermeasures, followed in the end by the current approaches of the security and privacy mechanisms implementation and the development of a security and privacy framework along with the necessary phases for its implementation within organizations in every industry.
The HealthSign project, current state and future activities

This paper presents the HealthSign project, which deals with the problem of sign language recognition with focus on medical interac- tion scenarios. The deaf user will be able to communicate in his native sign language with a physician. The continuous signs will be translated to text and presented to the physician. Similarly, the speech will be recognized and presented as text to the deaf users. Two alternative versions of the system will be developed, one doing the recognition on a server, and another one doing the recognition on a mobile device.
Information Updates and Transparency in Newsvendor-Supply-Chains: Values of Big Data and Block chain Technologies

In the Industry 4.0 era, emerging technologies such as big data analytics and blockchain can improve supply chain operations by updating information to reduce demand uncertainty and improving data quality. We conduct a theoretical exploration of the values provided by such technologies in the context of a newsvendor supply chain facing a normally distributed demand with an unknown mean. We use Bayesian learning to reduce demand uncertainty based on the observation data, and obtain the expected value of big data (EVBD) as the number of data becomes large. Further, we obtain the expected value [resp. profit] of perfect information (EVPI [resp. EPPI]), and establish a relationship between EVBD and EVPI. We then define a concept of “asymptotically perfect coordination”, and propose how a blockchain technology information sharing (BTIS) scheme can help achieve this by dampening knowledge uncertainty. We further extend the analysis to examine when blockchain technology incurs an operations cost and discuss the respective implications when blockchain is used for knowledge uncertainty reduction, as well as product information disclosures.
A Classification of Resource Heterogeneity in Multiprocessing Systems

There is a disconnect between the structure and behavior of computer systems, and the way they are described and instructed in applications and system software. To each application, the structure of the system is presented as a homogeneous collection of memory and compute resources and peripherals to be utilized in full, while the operating system attempts to provide a layer of abstraction from the specifics of the devices, and the resource contention inherent to multiprocessing systems. This simplified and abstract view allows applications to function correctly with little regard to the specifics of the underlying hardware, and scale up with relative ease. However, disregarding the inherent heterogeneity of the hardware comes at the cost of degraded performance and reduced interoperability. This work attempts to identify sources of heterogeneity common in multiprocessing systems, or emerging through new hardware or interaction paradigms, and discusses how these effects impact the performance and interoperability of applications on such systems.
Implementação e análise de uma engine para expressões regulares em Coq via testes baseados em propriedades

ABSTRACT An interactive theorem prover (or proof assistant) is a tool thatassists the development of formal evidence. This work has reviewed the literatureof the mathematical foundations of these tools. He also presented the assistant ofCOQ evidence and how it implements some of these concepts. Alternatively, it was presentedproperty-based testing which is an intermediate solution between testsunitary and formal evidence. This paper then used this methodology to analyzea regular expression algorithm that was published as Functional pearl.
LibGuides: Academic Study Skills: Academic Writing

Useful resources to help with Research, Academic Writing and Referencing Tutorials, activities and resources to support you with your academic writing
LibGuides: Instructional Continuity : Communication and Getting Started

Resources and tutorials available for faculty to transfer instructional content and activities to the online environment.