Reviewerly/exHarmony huggingface dataset:
INFORMATION PRIVACY AND MALICIOUS ACTIVITY AVOIDANCE FOR MEDICAL DATA DISTRIBUTION IN CLOUD ENVIRONMENT

With the proliferation and ever-increasing capabilities of wearable devices, there is a significant role to provide medical data distribution in a secure way. For the sake of data security, the collected big data can be encrypted and then stored on a cloud-let such as authorized user, data owner and the doctors can access. In this work, we propose a collaborative model consists of intrusion detection and prevention system functions based on distribute IDS and IPS using NTRU algorithm. Whereas intrusion detection system monitoring system monitor a network for active or imminent security policy violation, intrusion prevention goes a step further to stop any kind of violation from occurring. Initially, we utilize Number Theory Research Unit in the data collection and encrypt the data which is collected by wearable devices. Then, we divide user’s medical data stored in a remote cloud. Finally, security analysis shows that the data sharing through cloud-let scheme is secure and improve data processing ability in cloud-let.
Recent Advancement in Generative Adversarial Network Models

GANs (Generative Adversarial Networks) have recently gained a lot of attention in the research community. GANs are based on the zero-sum game theory, in which two neural networks compete for the resources. The results of deep model is capable of producing data that is close to any given data distribution. It employs an adversarial learning method and is much more efficient than conventional machine learning models as learning features. In this paper, firstly discusses the introductory detail about GAN followed by the brief literature survey of work done with GAN models and then followed by its different approaches and discusses how they differ. The analysis then goes on to list of the various applications such as computer vision, image classification and processing of language etc. before coming to a conclusion. As well as, compare this GAN model with other generative models and also mentioned the limitation of GAN.
A framework for evaluating security, trust, and efficiency of sustainable Cloud Computing for Big Data processing

This thesis establishes a framework relying on the security of the BigCloud architecture to improve security issues. Specifically, this thesis research aims to examine the common features and the security challenges of this integration to provide an architecture relying on the security analysis, evaluation theory, and security by design of the cloud deployment architecture to improve the large-scale data processing security issues. Also, it aims at enhancing the cloud-based BD frameworks security in storage, motion, and process. Implementing best guidelines and practices for managing security related to BD operations over cloud computing technology and updating industry security guidelines, frameworks, and standards are of this thesis concerns. Moreover, this thesis introduces an analytical model for data-intensive use case (i.e., Iot-to-cloud data streaming) security measurements, within any cloud-based framework. The thesis aims to fill the existing gap between the statistical representation of quality approaches of software engineering and the analysis of securing BD applications. Also, recommend best practices and measurements when constructing BD systems in both centralized and decentralized clouds. The proposed reference model and framework provides a comprehensive and fundamental basis to optimize the design of BigClouda frameworks regarding security ultimately.
LibGuides: Student Resources: OhioLINK Luminaries Internship Application

Welcome to the University Libraries! We have many services and resources to help you succeed.
LibGuides: Technology Integrated Lesson Plan Development: Conceptual Framework

The purpose of this LibGuide is to empower faculty with short and adoptable training so that they can improve their technology integration levels in their courses.
Margiotta Food & Wine: Customer Service through Service Robots

In 2018, high-end supermarket chain Margiotta Food & Wine (Margiotta) employed a robot named Fabio at one of its flagship stores to deliver in-store customer service. Founded in 1956, Margiotta retailed three product lines namely food, wine and 'local and organic' at their seven retail stores in Edinburgh, Scotland. However, within one week of its installation, Fabio was fired because of its inability to adequately deliver quality customer service. The customers developed a lot of resistance in accepting assistance from Fabio for their grocery shopping. The Fabio programmers, the Heriot-Watt University Interaction Lab, believe that a newer version of Fabio would be crueller and more conniving in delivering customer service. In the future therefore, Margiotta may very well have to take a decision on deploying a robot again. It would have to carve out strategies to proactively reduce customer resistance towards new version of Fabio, which eventually may ameliorate brand experience for Margiotta customers. In addition, Margiotta's employees were seen to have developed a state of positive emotion (love) towards Fabio. Employees were visibly disappointed when customer service through Fabio was discontinued. Hence, when the next version of Fabio is installed, Margiotta promoters would have to carefully manage employee emotions.
LibGuides: Return to Campus: Library Services and Policies: Guest Users

An overview of the services available to UAH students, faculty, and staff during the Covid-19 pandemic. Overview for Guest Users at the Salmon Library during Summer 2021.
การวิจัยและพัฒนาระบบและกระบวนการผลิตและพัฒนาครูรายวิชา วิธีสอนพลศึกษา โดยบูรณาการแนวคิดจิตตปัญญาศึกษา ระบบพี่เลี้ยงและการเรียนรู้โดยใช้การวิจัยเป็นฐาน

The purpose of this research was to study the results of learning management in Physical Education teaching method 2 by integrating the concept of contemplative education, coaching and mentoring system and research-based learning. The subjects were 65 fourth year Physical Education program students who were enrolled the course methods of teaching in Physical Education 2 in the first semester of academic year 2016. Research tools were 1) the quality assessment of the lesson plan. 2) Questionnaires of students 'opinions on learning management. 3) students’ learning behaviour reflection 4) Learning Log and 5) Teaching Log. Data was analysed using frequency, percentage, mean, standard deviation and content analysis. The research found that the development of teacher production and training system on teaching Physical Education through contemplative education, coaching & mentoring system and research-based learning had a result in the development of teaching and learning and help promote an effective teacher. Moreover, students were happy to study Physical Education teaching methods course and there were no major problems or obstacles that affected the learning management process integrating the concept of contemplative education, coaching and mentoring system and research-based learning.
A Cognitive Personal Assistant System to Enhance the Individual-Centric Research Capabilities

The intelligent personal assistant system is designed to support the individual researchers to enhance their quality of the research through the natural language interface. Specifically, this system automatically provides intrinsic details about the importance of the topic of discussion using the timeline analysis. The results generated by the system help the researchers to understand the preference of the global researchers in the specific research field. This system primarily identifies the core topic of the discussion from the user's presentation. Further, the importance of the topic is calculated based on the research articles published over three decades in the related field. The experimental results confirm that the proposed method accurately identifies whether the research topic the user presented is HOT.
Sentiment and Emotion Analysis: A Novel Approach to Detect Sentiments by using Multi-Layer Perceptron

The majority of sentiment analysis strategies rely on extensive data preprocessing, which includes carefully selecting the appropriate pattern based on the data's composition, intuitive analysis, and considerations such as vocabulary.We proposed a method for online site opinion such as IMDB movie review to analysis sentiment and emotion using the dynamic architecture for multi-layer perceptron. The proposed Multi-Layer Perceptronapproach exploits challenges associated with the distinguishing characteristics of the Movie Review facts, and the recall of fuzzy sentimental expressions. The dynamic features of perceptron of Artificial Neural Network produced a final decision feature representation consisting of multiple layers, with greater feature density.
IMPLEMENTASI AUGMENTED REALITY TERHADAP TUJUH KEAJAIBAN DUNIA MENGGUNAKAN METODE MARKER BASED TRACKING (MBT) BERBASIS ANDROID

The wonder of the world is cultural wisdom placed in the form of a list of the most important man-made creations. The seven wonders of the world are extraordinary masterpieces that make people think that beauty seems impossible to make in its time. With the advancement of multimedia technology, it needs to be developed into a learning medium about the introduction of the seven wonders of the world 3D using Augmented Reality (AR) technology. Augmented Reality (AR) technology is a technology that combines a two- or three-dimensional virtual object into a real three-dimensional environment and then projects those virtual objects into real time. This research aims to attract students who want to see more real how the original form of the monument of the seven wonders of the world. The design uses sketchup software for object creation, Vuforia Augmented Reality app to create android apps and Unity app to process images, sounds, and graphics. The development of this application uses augmented reality technology with Marker Based Tracking method. This method will track marker patterns that have been saved to display digital elements. The ideal distance for marker detection is 20 -90 cm with an angle slope between 0o - 90o.
Dynamic sign language translating system using deep learning and natural language processing

People around the world with speech and hearing impairment use a media of communication known as ‘Sign language’.In recent times, Sign language is omnipresent. However, there exists a challenge for people who do not know sign language, to communicate with people who can communicate exclusively using sign language. This gap can be bridged by using technologies of recent times to recognize gestures and design intuitive systems with deep learning. The aim of this paper is to recognise American Sign Language gestures dynamically and create an intuitive system which provides sign language translation to text and speech of various languages. The system uses Convolutional neural network, natural language processing, language translation and text-to-speech algorithms. It is capable of recognizing hand gestures dynamically and predicting the corresponding letters to form a desired sentence accurately.
A Quantum Approach to Neural Networks

Artificial neural networks, usually just called neural networks, computing systems indefinitely inspired by the biological neural networks and they are extensive in both research as well as industry. It is critical to design quantum Neural Networks for complete quantum learning tasks. In this project, we suggest a computational neural network model based on principles of quantum mechanics which form a quantum feed-forward neural network proficient in universal quantum computation. This structure takes input from one layer of qubits and drives that input onto another layer of qubits. This layer of qubits evaluates this information and drives on the output to the next layer. Eventually, the path leads to the final layer of qubits. The layers do not have to be of the same breadth, meaning they need not have the same number of qubits as the layer before and/or after it. This assembly is trained on which path to take identical to classical ANN. The intended project can be compiled by the subsequent points provided here: 1. The expert training of the quantum neural network utilizing the fidelity as a cost function, providing both conventional and efficient quantum implementations. 2. Use of methods that enable quick optimization with reduced memory requirements. 3. Benchmarking our proposal for the quantum task of learning an unknown unitary and find extraordinary generality and a remarkable sturdiness to noisy training data.
MQTT based Time-Series Anomaly Detection System for Smart Grid

Developing smart grid system is a crucial thing and relies heavily on modern technology. Powered by cloud computing and artificial intelligence, electrical grid can make a generational leap towards a more efficient and smart future. Meanwhile, machine learning can get great result in fields like anomaly detection and load forecasting, However, power grid equipment is usually quite underpowered, can't perform deep learning algorithm locally. In this paper, we proposed a new stream processing architecture based on MQTT protocol, therefore time-series anomaly detection algorithms running on the cloud. Allowing any anomaly event can be detected fast and accurately.
Authors Identification within the Subject Area in the Semantic Library

The peculiarities of the task of authors identifying and determining author's contribution to publications in digital bibliographic codes are considered. The features of the problem of insufficient identification are manifested in the repetition of information, doubling, the presence of authors with completely coincidental names, self-quotation, autoplagiate and plagiarism itself. It is proposed to use publication information that has already been accumulated in the digital library in the form of related object area data and a variety of target thesaurus data, as the author and user of the library. This information contains links whereby keyword contexts, multiple co-authors, and term associations in dictionaries and thesauruses can be used to identify authorship. It is important that an array of scientific publications is considered, since they have an established traditional structure, which allows comparing fixed text elements (annotations, keywords, classifier codes, etc.). Thus, even if the names in the publications are fully matched, the question of authorship can be raised if the publications in the digital library correspond to different subject areas. Resolution of such contradictions is accomplished by evaluating a plurality of links of all elements of secondary publication information. The result of the comparison could be the addition of the author to a specific area, i.e. the extension of the addressee's thesaurus and the author's personal thesaurus, or the appearance of full namesakes in the library, but from different areas of knowledge. It has been shown that modern data analysis tools allow you to evaluate the author's contribution to publication, despite the fact that of course, only the scientific community can evaluate the real contribution to scientific research.
INTRERPRETASI SENSE OF PLACE DALAM GAME CALL OF DUTY 4: MODERN WARFARE

Abstract: Sense of Place is related to emotional relationships born from the interaction betweenhumans and places. The game was born as a public space involving the interpretation of the ownerof the place, views or perceptions of reality outside the game. Call of Duty 4: Modern Warfareshows the existence of coherent elements of place including physical settings, images and meaningsof the game. This research shows that physical settings in the game Call of Duty 4: Modern Warfarehave strong relevance between images in real-life games outside the game. Relevance is arrangedwith excellent detail so that it makes players easier to assemble imaginations that are identical toeveryday life. The aspects of the image generated in the game Call of Duty 4: Modern Warfare arearranged very precisely through a combination of visual appearance and strong narration. Theinterpretation order in this game is inseparable from the existence of games as one of the idealcommunication channels to disseminate ideas according to the sender. The meaning formedthrough this game is an accumulation of physical settings and adequate narration according to thewill of the maker. These three things succeeded in shaping players' perceptions in the directionexpected by producers of Call of Duty 4: Modern Warfare.Key Words: call of duty, sense of place, video, games, public space
THE EFFECT OF IMPLEMENTING INQUIRY-BASED LEARNING STRATEGY ON STUDENTS’ READING COMPREHENSION (An Experimental Research of The Second Grade Students’ of Junior High School in Academic Year 2018/2019)

MULYANI, SRI. 1615500059: The Effect of Implementing Inquiry- Based Learning Strategy on Students’ Reading Comprehension (An Experimental Research to the Second Grade Students of SMP N 3 Songgom in the Academic Year 2018/2019).Research Project Strata 1 Program, Faculty of Teacher Training an Education, Pancasakti University Tegal. The First Advisor is H. Sumartono, M.Pd. and the Second Advisor Noeris Meiristiani, M.Pd.Key Words:Inquiry-Based Learning Strategy, Students’ Reading Comprehension.Inquiry-Based Learning is one of strategy in cooperative learning. The objectives of this research is to find out whether there is a positive effect of Inquiry-Based Learning Strategy on students’ reading comprehension of the second grade students of SMP N 3 Songgom in the Academic Year 2018/2019.This research was an experimental study. The population in this research is all students of the second grade students of SMP N 3 Songgom in academic year 2018/2019 with the number of students was 186. This research was conducted by using two group design, the first group is experimental group who was taught by using Inquiry-Based Learning Strategy, and the second group is control group who was not taught by using Inquiry-Based Learning Strategy. The sampling technique was conducted by using cluster random sampling with the total of sample is 60 students and each sample consist of 30 students.The result of the data obtained between experimental group with a mean value (77,1) and control group with a mean value (69,6). The data is analysed by using t-test. It showed that t-test result is 3,378 with degree freedom is 58 and the level of significant (a) 5% and t-table is 1,645. It is absolutely said that t-test is higher than t-table (3,378>1,654), because of the t-test is higher than t-table, so that the hypothesis of the research is accepted.Thus, it can be concluded that Inquiry-Based Learning Strategy gives positive effect on students reading comprehension of the second grade students of SMP N 3 Songgom in the academic year 2018/2019. Because, there is significant difference between experimental and control group after given treatment. So, from this research is students who were taught by using Inquiry-Based Learning Strategy got more knowledge than students who were taught by using conventional method. It also made students more active, confident, communicative and creative in learning process. The writer advises to the teachers to use Inquiry-Based Learning Strategy in teaching English especially reading.
The Effects of Kagan Cooperative Learning Structures in Teaching Subject–Verb Agreement among Rural Sarawak Learners

Even after undertaking years of formal education to acquire the language in schools, having a poor command of English remains a problem faced by most Malaysians, especially students in rural schools of Sarawak. Based on the error-analysis carried out by recent research, subject–verb agreement (SVA) is one of the most frequent errors committed by students. To overcome this problem, teachers should significantly improve students’ mastery of SVA in the English language through effective teaching methods. Therefore, this research was conducted to explore the effects of Kagan Cooperative Learning Structures in teaching SVA among rural Sarawak learners. In this study, 35 Form 4 students were selected from a secondary school in the Belaga District, Sarawak as the research participants. Questionnaires and semi-structured interviews were used as data collection tools. Overall, findings demonstrated that students showed positive feedback after the intervention was implemented. Results of this research will hopefully provide insights to secondary school students, teachers and the community in the cooperative teaching and learning of grammar.
LibGuides: Marketing Outreach Toolkit: Editorial Calendar

This project consists of a monthly emailed checklist of outreach tasks that all build on one another to achieve large-scale goals. The idea is to frequently show stakeholders that the library is advancing campus priorities.
Using Ensemble Machine Learning Methods in Estimating Software Development Effort

Background: Software Development Effort Estimation is a process that focuses on estimating the required effort to develop a software project with a minimal budget. Estimating effort includes interp ...
Subject & Research Guides: Open Data Sets and Visualization Resources: Data Visualization

Locate and use open source numeric, statistical, geospatial, and qualitative data sets by topic. Explore data visualization methods, techniques, and resources to help discover patterns in the data that may not be clear from statistics alone.
Library Guides: Interlibrary Loan: Frequently Asked Questions

This guide will explain what Interlibrary loan (ILL) is and how you can use ILL to request materials not owned by Purdue Libraries
Cyber Insurance and Risk Management: A Normative Analysis

Cyber insurance is becoming an essential tool for managing cybersecurity risks. In this study, we analyze how cyber insurance affects firms’ risk prevention and risk mitigation decisions. We find that the presence of cyber insurance exacerbates ex-ante moral hazard by decreasing expected risk prevention but enhances ex-post efforts by increasing expected risk mitigation. The overall impact of cyber insurance on the risk accepted by a firm depends on the scope and compensation of the insurance coverage. Specifically, a firm will accept a lower level of risk if the cyber insurance covers fewer types of events but provides more compensation when a breach occurs. We discuss the implications of our findings.