Reviewerly/exHarmony huggingface dataset:
The Design of Application Based Webivew Connected to e-Commerce’s API

API or Application Programming Interface means the application programming interface.The point is, a set of interfaces (can be in the form of functions, methods or endpoint URLs) that we can use to develop applications, both on one platform and across platforms.The purpose of the API is to speed up the creation of an application because programmers do not need to write code from scratch.The API is also provided by a platform to be able to access the features of that platform.In addition, if the API is available then only need to design the interface performance concept
SECURITY AND PRIVACY OF ELECTRONIC HEALTH RECORDS SHARING USING HYPERLEDGER FABRIC

Electronic medical records and patient data sharing are critical and considered as core issues in health care.How to store patient's information securely, how to access the information and how to ensure the privacy of patients when sharing medical data among several health service providers or agents are critical considerations.To handle those crucial considerations, a blockchain-based technology called Hyperledger Fabric will be useful.Hyperledger Fabric is a permissioned blockchain technology that provides a way to secure the interactions among a group of identified participants.In this paper, we will show how the implementation of Hyperledger Fabric to store, manage and maintain electronic medical records can ensure the security and the privacy of patient data.
Gitarren, kronan på verket : Att från ett filmmusikaliskt perspektiv komponera för gitarr i en större ensemble

In this project I have examined how I can use different ways to compose for a bigger ensemble and for my own instrument, guitar, as a part of it. As a musical form for the composing I chose to writ ...
Active and Machine Learning for Earth Observation Image Analysis with Traditional and Innovative Approaches

Today we are faced with impressive progress in machine learning and artificial intelligence. This not only applies to autonomous driving for car manufacturers but also to Earth observation, where we need reliable and efficient techniques for the automated analysis and understanding of remote sensing data. While automated classification of satellite images dates back more than 50 years, many recently published deep learning concepts aim at still more reliable and user-oriented image analysis tools. On the other hand, we should also be continuously interested in innovative data analysis approaches that have not yet reached widespread use. We demonstrate how established applications and tools for image classification and change detection can profit from advanced information theory together with automated quality control strategies. As a typical example, we deal with the task of coastline detection in satellite images; here, rapid and correct image interpretation is of utmost importance for riskless shipping and accurate event monitoring. If we combine current machine learning algorithms with new approaches, we can see how current deep learning concepts can still be enhanced. Here, information theory paves the way toward interesting innovative solutions. The validation of the proposed methods will be demonstrated on two target areas: the first one is the Danube Delta, which is the second largest river delta in Europe and is the best preserved one on the continent. Since 1991, the Danube Delta has been inscribed on the UNESCO World Heritage List due do its biological uniqueness. The second one is Belgica Bank in the north-east of Greenland which is an area of extensive fast land-locked ice that is ideal for monitoring seasonal variations of the ice cover and icebergs. To analyze these two areas, we selected Synthetic Aperture Radar (SAR) images provided by Sentinel-1, a European twin satellite (Taini G et al., SENTINEL-1 satellite system architecture: design, performances and operations. IEEE international geoscience and remote sensing symposium, Munich, pp 1722–1725, 2012) which has an observation rate of one image every 6 days in the case of the Danube Delta and of at least two images per day in the case of Belgica Bank.
Analisis Peringkat Bahaya Kebakaran Di Lahan Gambut Menggunakan Fire Danger Rating System (Fdrs) (Studi Kasus Di Desa Tanjung Leban Kabupaten Bengkalis Propinsi Riau)

Fire is a condition of a location that experiences excessive drought or no water that causes drought. Peatlands in Indonesia are 14.9 million hectares, covering around 50% of the world's tropical peat. Riau Province which has the largest area of peatlands in Indonesia is 55.3%. Unproductive peatlands in Indonesia are reported to be 4.2 million hectares. Under natural conditions, peat is a type of water-saturated soil that can store water up to 5 to 15 times its weight. Fire danger rating can be used as one of the main inputs within the determination of fire standby status. This research was conducted in the Tanjung Leban Village using the method Fire Danger Rating System (FDRS). Analysis is conducted using rain and temperature data derived from Accuweather, wind velocity and relative humidity data from SESAME (Transmission Service Assisted by Midori Engineering Data sensors) and soil moisture data from laboratory testing of soil mechanics. The results of the fire danger rating analysis, the high fire danger rating value of the Fire Danger Rating System (FDRS) method occurred in April 2018 of 10,24 with high classification. The results of fire danger rating analysis with hotspots from 100% of hotspot events in Tanjung Leban Village occurred on high classification of 86%. Hotspot points many appear when the conditions of Fire Danger Rating System (FDRS) high classification are 61,54%. It is described that when the medium condition should be wary of fire incident.Keywords: Hotspot, Fire Danger Rating System, Fire of Peat Land
Retrospective Enhancement of Thesis Cataloging and the Match Rate of Authors in National Authority Files

The researchers extracted a disproportionate stratified random sample from 40 years of thesis bibliographic records at Concordia University in Montreal, Quebec. Match rates for thesis authors in the LC/NACO Name Authority File and in Canadiana Authorities were examined. ProQuest digitization of older theses, the creation of an institutional repository, the move to electronic theses and dissertations in 2011, and the implementation of vendor-assisted authority control in 2017 impacted bibliographic records. In addition to the dearth of matches in general, results uncovered false matches and significant changes to Library and Archives Canada thesis authority control practices over the years.
LibGuides: Using Electronic Resources at the Salmon Library: Proxy Server

A general overview of using our electronic articles and databases at the Salmon Library, including using our proxy server, our OpenURL, and fixing issues with troubleshooting tips. Description of our proxy server and what is needed to use it.
Research Guides: Getting Started at the Library : Database Search Tips

Learning the basic skills you need to get the most of everything WKU Libraries has to offer! Access academic databases.
Reflections on teaching design fiction as world-building

Over the last 3 years I have the pleasure of teaching a final year undergraduate design studio in which students are required to consider the potential futures of emerging technologies. In particular they are expected to approach this as an exercise in design fiction as world-building. The emphasis of the approach is to render the future mundane in that the artefacts produced are not expected to adopt the elaborate, and oft dystopian, exhibition orientated approach of critical design, but rather to subvert the formats and tropes of the technology industry. Further the approach seeks to avoids the polarization of utopian or dystopian but instead embraces the messiness of our lived realities. I not seeking to offer any disambiguation of what design fiction is or how it should be done but merely offering my reflections on research led teaching which might be useful to others.
EVOLVING AND COMPARING PREDICTIVE PERFORMANCES OF FUZZY WAVELET NEURAL NETWORKS WITH DIFFERENT ARCHITECTURES

In this paper we use a real-coding Genetic Algorithm to evolve three different architectures of Fuzzy Wavelet Neural Networks (FWNNs) and to compare their performances when predicting financial time series (stock exchange indexes) by means of NARX( ) models. FWNNs are designed by hybridization of Neural Networks, Fuzzy Inference Systems and Wavelet Functions as substitutes of Sigmoidal Activation Functions. The following FWNN architectures are evolved and compared: a summation-type FWNN, a multiplication-type FWNN and an extended version of the latter with both nonlinear and linear terms in the consequent part. Hybridization can be viewed as a way to overcome the limitations of individual techniques and to combine their benefits. It allows obtaining networks with the explanatory capabilities of fuzzy systems, a small number of neurons in the hidden layer, a fast training speed and a more precise and quick convergence. We use Matlab for implementing the algorithms and validate their predictive performance on data from Bucharest Stock Exchange.
Subject Guides: Digital Tools for Research: a practical guide: Coding with Python

A practical guide to the digital tools you can use for research when working on theses, dissertations, and research projects. Getting started writing code in Python.
OSCG interview about ORCID interview Tiemen Folkers

Vera Heininga of the OSCG interviews Tiemen Folkers of the University Groningen Library about the implementation of ORCID
Special Issue Proposal: Conversational Search and Recommendation

The rapid growth in speech and small screen interfaces, particularly on mobile devices, has significantly influenced the way users interact with intelligent systems to satisfy their information needs. The growing interest in personal digital assistants, such as Amazon Alexa, Apple Siri, Google Assistant, and Microsoft Cortana, demonstrates the willingness of users to employ conversational interactions. In this special issue, we focus on interactions with information seeking goals. This includes conversational search and recommendation. Given the importance of the topic to both academia and industry and the recent availability of multiple public datasets in this area, we believe that the time is right to propose a special issue on this topic, and ACM Transactions on Information Systems is the perfect venue for it.
Designing for Implicit and Positive Interactions - Artificial Intelligence and the Internet of Things in Support of Car Drivers

How can AI (Artificial Intelligence) and IoT (Internet of Things) technologies be combined to support positive interactions in ambient spaces? This was our overarching research question. In addressing this question, we worked in close collaboration with an IT-company and explored one IoT-based design and one AI-based design, and we examined ways of integrating the two designs in an interactive system for the particular use context of a parking lot for cars. In this use context we explored the design of an interactive system that would enable car drivers to easily find an available parking lot, while staying focused on driving rather than being focused on traditional man-machine interaction. With this model in mind we designed two prototype systems based on the idea of “implicit interaction”, and we considered how the use of AI (computer vision) and IoT (connected sensors) would enable a reliable solution that would allow the system to “see” available parking lots, and recommend these to the car driver – implicitly and automatically. In this paper we present our work on these two prototypes and our ideas on how to combine AI and IoT in this design. We also report from a preliminary user in order to answer a fundamental question here, i.e. –“How can we develop interaction models for such ambient spaces that adds to the quality of life for its users and inhabitants?”. We conclude this paper with our design recommendations for how to design for positive interactions by relying on implicit interaction models and the combination of AI and IoT technologies.
Face Recognition Through Machine Learning

Face plays a very important role in expressing emotions and feelings .Face have 43 muscles and there 21 expressions possible. Face and facial expression gives much more information about the individual and his words. Humans face and his gesture always leak the truth about his words or actions. Machine learning is technology where we can train any computer to do some tasks automatically. The objective is to train computer in a way to detect facial expression and gesture that could assist government officials to take certain decisions.
An Analysis of Structural Relationships on Elementary School Teachers’ Social Orientation, Teacher Value Orientation, and Efficacy of Inclusive Education

This study was conducted as a survey study for elementary school teachers to find out the structural relationship between social orientation and teacher value orientation that affect the effectiveness of inclusive education. The questionnaire consisted of 15 social orientations, 16 teacher value orientations, and 15 inclusive education efficiency items. For this study, data from 316 elementary school teachers across the country were analyzed. Confirmatory factor analysis was applied based on exploratory factor analysis. The structural equation model was tested as a process of determining the measurement model, the modified model, the modified model validity evaluation, and the hypothetical structural model and the structural model. The results of the research found during the test of the structural equation model are that: (a) the social orientation of elementary school teachers influences the teacher value orientation; (b) the social orientation of elementary school teachers affects the effectiveness of inclusive education; (c) when the social orientation of elementary school teachers affects the effectiveness of inclusive education, the mediating effect of teacher value orientation does not appear; and (d) the effect of social orientation of elementary school teachers on teacher value orientation and inclusive education efficiency is explained only by direct effects. In conclusion, this study suggests that the social orientation of elementary school teachers affects teacher value orientation and the efficiency of inclusive education.
Design Guidelines for the Simulation of the Usage Context “Station” in VR Environment

Virtual environments are best suited for developing new information concepts for public transport. The paper deals with this possibility and examines immersion and presence for the two end devices CAVE and HMD. As an example a virtual system with dynamic and interactive elements is examined. The paper shows the relevant guidelines that a virtual environment has to fulfill in order to perform a meaningful test. For a realistic virtual environment, the travel chain and the individual elements in stations were examined in advance. Thus, a virtual model was created which contained real elements such as sound, avatars, information points, trains and ticket machines. The test persons were thus able to fully immerse themselves in the station.
STAGING A TYPOLOGY OF CHAMBER-ENSEMBLE GENRE VARIETIES: TO THE QUESTION OF ARTISTIC AND PERFORMING CHRONOTOPE

Research objective. The aim of the work is to study the mission models of chamber-ensemble performance. The methodology of the research is based on the system-analytical and comparative method. The scientific novelty — the substantiation of the stage-oriented typology of chamber instrumental-ensemble genre species, due to semantic differences in the artistic and performing space. Conclusions. The concept of performing and ensemble stage setting as an association of a specific set of performers and musical instruments to solve common creative tasks for reproducing an artistic whole composition, which are close to physical and spatial indicators (contact of the performer with the instrument, placement of performers for audio and visual interaction) involves sound coordination within the performing — ensemble space and perceptual projection into the listening space. The various instrumental-ensemble stage settings are refined, which historically stabilized in the performance practice of timbre-heterogeneous compositions and fix the semantic foundations of the chamber-instrumental genre varieties.
UofL Libraries: Communication Online: Home

This guide provides information about the library's online information literacy instruction for Communication 111/112.
Modeling Humanoid Robots Mimics Using Intuitionistic Fuzzy Sets

Intuitionistic fuzzy sets (IFS) have been often used in modeling the problems under vagueness and impreciseness in order to better define the problems together with the hesitancy of decision makers. IFS have been often employed in modeling decision making problems in the literature. Human decision making process can be used in humanoid robots by imitating the human decisions and behaviors.
LibGuides: Summer Bridge 2020: Welcome!

An introduction to the library and its services and resources for the 2020 Summer Bridge program
Numerical Methods for Spectral Clustering

The Aviation industry is important to the European economy and development, therefore a study of the sensitivity of the European flight network is interesting. If clusters exist within the network, ...
Simulation of the Bitcoin Network Considering Compact Block Relay and Internet Improvements

Improving transaction throughput is an important challenge for Bitcoin. However, shortening the block generation interval or increasing the block size to improve throughput makes it sharing blocks within the network slower and increases the number of orphan blocks. Consequently, the security of the blockchain is sacrificed. To mitigate this, it is necessary to reduce the block propagation delay. Because of the contribution of new Bitcoin protocols and evolution of the Internet, the block propagation delay in the Bitcoin network has been shortened in recent years. In this study, we measure the block propagation delay on the Bitcoin network using a simulator, and investigate the effect of compact block relay---an up-to-date Bitcoin protocol---and Internet improvements from 2015 to 2019. The experimental results reveal that the block propagation delay is reduced by 64.5% for the 50th percentile and 63.7% for the 90th percentile due to Internet improvements, and by 90.1% for the 90th percentile and by 87.6% for the 90th percentile due to compact block relay.
Automation of support service using Natural Language Processing : Automation of errands tagging

In this paper, Natural Language Processing and classification algorithms were used to create a program that automatically can tag different errands that are connected to Fortnox (an IT company base ...
LibGuides: Evaluating Information Sources: Peer Review/Evaluate Articles

Use the information on this guide to help you understand and evaluate the different types of information sources.
Braille - Bar Code - MP3 Method to Teach Blind and Visually Impaired Users Using an Application That Displays Audio Files Using Bar Code and Braille

The process of education for people with visual disabilities is a challenge for the same person, his family and governmental and non-governmental organizations concerned with a particular school for people with visual impairments. Many countries have signed several agreements to provide a suitable environment for the education of visually impaired people. However, the arrangements have not been implemented in most states. Hired because of several circumstances that we will address later. In this paper, the researcher introduces a new method for teaching visually impaired people how to focus on the sense of hearing and the use of information technology bar code and a program of its design for the presentation of audio materials, where users use a pre-prepared template from the design of Braille code and barcode to access audio documents representing lectures or articles Scientific or audio books according to the plans of education in the school or institutes.
Binary neural networks

Convolutional neural networks (CNNs) are used in a spread spectrum of machine learning applications, such as computer vision and speech recognition. Computation and memory accesses are the major challenges for the deployment of CNNs in resource -limited and low -power embedded systems. The recently proposed binary neural networks (BNNs) use just 1 bit for weights and/or activations instead of full precision values, hence substitute complex multiply -accumulation operations with bitwise logic operations to reduce the computation and memory footprint drastically. However, most BNN models come with some accuracy loss, especially in big datasets. Improving the accuracy of BNNs and designing efficient hardware accelerator for them are two important research directions that have attracted many attentions in recent years. In this chapter, we conduct a survey on the state-of-the-art researches on the design and hardware implementation of the BNN models.
Peningkatan Motivasi dan Hasil Belajar pada Materi Puasa melalui Teknik Pisang Cabe pada Siswa Kelas V SDN Delegan 2 Prambanan Tahun Ajaran 2017/2018

This research aims to determine the application of cooperative learning of Pisang Cabe technique in improving motivation and results of material learning fasting students class V Elementary School Delegan 2 Prambanan year 2017/2018. This research is a class action research (PTK). Data collection techniques using participatory observation, questionnaire (poll), tests, and documentation. The results showed that the student's motivation increased on the I cycle of 60.57% increase in cycle II by 83.3%. The results of the study in the I cycle reached an average of 78.4 with the highest value of 95 and the lowest value of 60, with a proof of a proof of 76%, increased in the cycle II by an average of 87.2, with the highest value of 100 and the lowest 75 with a proof of proof of 100%. The results of this study showed that application of Pisang Cabe technique (Think with Spouse, Find and Share) is effective in improving motivation and learning outcomes of students on fasting material.
TGMISC201002 Línea de productos de software dinámica para la construcción de aplicaciones sensibles al contexto

Dynamic Software Product Lines represent a way for software developers to exploitcommon and variable features among a set of requirements to build entire families of products, and to enable to switch from one product configuration to adifferent one at runtime. These are product lines where the derivation occurs at runtime and implies a reconfiguration both in terms of the available services and also in the underlying platform. The cloud has empowered developers to built applications that can be reconfigured and redeployed dynamically and autonomously regardless of the underlying physical hardware infrastructure. These two strategiescombined have the potential to build highly reusable and reconfigurable softwareapplications. In this paper we present an approach to achieve a DSPL using microservices. We propose two different derivation processes, one at design time, based onbinary replacement, and one at runtime that uses two different feature models, one forthe user context, and a different one that deals with the quality attributes of the underlying software architecture.
LibGuides: Finding and Using Free-Use Online Content: Sound & Music

Looking for free images, sound, music or video to use in your PowerPoint, e-Learning video or other digital projects? Curated here is a list of databases containing free content. Check the license terms before use.
LibGuides: eBooks: Using eBooks

Finding and reading eBooks at University of South Wales Mae'r canllaw hon hefyd ar gael yn Gymraeg Printing, photocopying and downloading eBooks