Reviewerly/exHarmony huggingface dataset:
Security analysis of a blockchain-based protocol for the certification of academic credentials

We consider a blockchain-based protocol for the certification of academic credentials named Blockcerts, which is currently used worldwide for validating digital certificates of competence compliant with the Open Badges standard. We study the certification steps that are performed by the Blockcerts protocol to validate a certificate, and find that they are vulnerable to a certain type of impersonation attacks. More in detail, authentication of the issuing institution is performed by retrieving an unauthenticated issuer profile online, and comparing some data reported there with those included in the issued certificate. We show that, by fabricating a fake issuer profile and generating a suitably altered certificate, an attacker is able to impersonate a legitimate issuer and can produce certificates that cannot be distinguished from originals by the Blockcerts validation procedure. We also propose some possible countermeasures against an attack of this type, which require the use of a classic public key infrastructure or a decentralized identity system integrated with the Blockcerts protocol.
LibGuides: The IB Extended Essay: Topic ideas and research Questions

The Guide will have all the basic to get you started on your EE journey! Ideas for research topics
Depth-Wise Pooling: A Parameter-Less Solution for Channel Reduction of Feature-Map in Convolutional Neural Network

The Convolutional neural networks (CNN) almost always consists of spatial pooling, which reduce the spatial resolution of feature-maps without any trainable parameters. This not only facilitates the network to go deeper but also reduces computational complexity. But for feature-map channels reduction the cheapest method is $1\times 1$ convolution used before the expensive $3\times 3$ and $5\times 5$ convolutions. We proposed depth-wise pooling a parameter less solution for feature-map channel reduction. Which can control number of feature-map in deep CNNs. The information lost can be control with feature sharing between consecutive selected channels of feature-maps. In this work we implement four depth-wise pooling methods for reduction of feature-map channels by changing the stride size and filter size. For fair analysis we implement our methods in DenseNet [1] which has state-of-the-art results and minimum number of parameters. We showed that parameters can be reduced up to 4 times in some cases and having almost the same results.
UWM Libraries Research and Course Guides: WGS Faculty Guide: Using the Library

This guide was designed to provide a quick reference to library tools and materials that are relevant to WGS research and instruction.
LibGuides: Collection Development & Analysis: CD Analysis by Selector

This is where you will find analysis information which will help you determine what to purchase for your discipline.
Analysis and Optimization of Task Granularity on the Java Virtual Machine.

Task granularity, i.e., the amount of work performed by parallel tasks, is a key performance attribute of parallel applications. On the one hand, fine-grained tasks (i.e., small tasks carrying out few computations) may introduce considerable parallelization overheads. On the other hand, coarse-grained tasks (i.e., large tasks performing substantial computations) may not fully utilize the available CPU cores, leading to missed parallelization opportunities. In this article, we provide a better understanding of task granularity for task-parallel applications running on a single Java Virtual Machine in a shared-memory multicore. We present a new methodology to accurately and efficiently collect the granularity of each executed task, implemented in a novel profiler (available open-source) that collects carefully selected metrics from the whole system stack with low overhead, and helps developers locate performance and scalability problems. We analyze task granularity in the DaCapo, ScalaBench, and Spark Perf benchmark suites, revealing inefficiencies related to fine-grained and coarse-grained tasks in several applications. We demonstrate that the collected task-granularity profiles are actionable by optimizing task granularity in several applications, achieving speedups up to a factor of 5.90×. Our results highlight the importance of analyzing and optimizing task granularity on the Java Virtual Machine.
Harold L. Drimmer Library Research Guides: Using Texbooks from VitalSource: Get Started with VitalSource

This guide gives step by step instructions on how to borrow up to 7 textbooks from the Vital Source platform for free through May 25, 2020.
LibGuides: Alternative Educational Resources During COVID-19: Access to eTextbooks

Many publishers are offering free access to their resources during the COVID-19 crisis. This is a compilation of known offers available to Johnson & Wales University.
REACHING ACROSS THE VOID – BOOSTING INTERACTION IN SYNCHRONOUS ONLINE CLASSES

The integration of technology in blended and fully online modes of learning provides higher education institutions with a means of promoting access to education, improving the student learning experience and of supporting the development of 21st century skills. With developments in web conferencing software, fully online learning has evolved to use a combination of asynchronous learning methods and synchronous online classes. The synchronous class allows all members of the learning group to meet in a digital space to share, discuss, ask questions and get guidance. Equipped with webcam, microphone, chat box and white board functionalities, it is designed to support vibrant and lively interaction which is a valuable part of the higher education experience both in terms of developing students’ learning and their sense of connection and community.The synchronous online class is a distinctive learning space which presents students and lecturers with its own opportunities and difficulties (Logan and Stone, 2016). For lecturers, making the transition from face to face teaching to synchronous online teaching, can be fraught with emotional and pedagogical challenges. These challenges can occur even when the lecturer has acquired the relevant technical skills and is familiar with the virtual learning environment. This paper, drawn from a project in Trinity College Dublin in Ireland with online students and lecturers, presents a selection of the findings from lecturers on how to promote interaction in fully online higher education. The paper reveals how the synchronous online class can feel more like a void than a vibrant space and uses the community of inquiry framework (Garrison, Anderson and Archer, 2000) to analyse the behaviours and tactics deployed by the lecturers to reach across the void and boost interaction in their synchronous online classes.
Managing Language Data @ UNT Digital Library: CoRSAL Collection

Presentation presented at the Second International Workshop on Language Documentation and Digital Archiving, held at the Indira Gandhi National Centre for the Arts in Delhi, India. This presentation discusses how language data is being hosted by the UNT Digital Library for long-term preservation and access.
Classification of the Chinese Handwritten Numbers with Supervised Projective Dictionary Pair Learning

Image classification has become a key ingredient in the field of computer vision. To enhance classification accuracy, current approaches heavily focus on increasing network depth and width, e.g., inception modules, at the cost of computational requirements. To mitigate this problem, in this paper a novel dictionary learning method is proposed and tested with Chinese handwritten numbers. We have considered three important characteristics to design the dictionary: discriminability, sparsity, and classification error. We formulated these metrics into a unified cost function. The proposed architecture i) obtains an efficient sparse code in a novel feature space without relying on $\ell_0$ and $\ell_1$ norms minimisation; and ii) includes the classification error within the cost function as an extra constraint. Experimental results show that the proposed method provides superior classification performance compared to recent dictionary learning methods. With a classification accuracy of $\sim$98\%, the results suggest that our proposed sparse learning algorithm achieves comparable performance to existing well-known deep learning methods, e.g., SqueezeNet, GoogLeNet and MobileNetV2, but with a fraction of parameters.
Research Guides: Databases, Germs, and WiFi: Vendors Share the Love - From a Safe Distance: Textbooks/eBooks

This is a listing of products and services that vendors have made available for free or expanded coverage due to many institutions moving their instruction online on short notice. These publishers have shared the love by making all or part of their electronic catalogs available.
LibGuides: Online library services available during the University closure: eBooks

This guide outlines the services available to you during the Library closures due to COVID-19
Fast and Reliable Architecture Selection for Convolutional Neural Networks

The performance of a Convolutional Neural Network (CNN) depends on its hyperparameters, like the number of layers, kernel sizes, or the learning rate for example. Especially in smaller networks and applications with limited computational resources, optimisation is key. We present a fast and efficient approach for CNN architecture selection. Taking into account time consumption, precision and robustness, we develop a heuristic to quickly and reliably assess a network's performance. In combination with Bayesian optimisation (BO), to effectively cover the vast parameter space, our contribution offers a plain and powerful architecture search for this machine learning technique.
Ingenious Traffic Control System with Green Signal Timings Using Image Processing

In metropolis, traffic congestion affects the daily routine of passengers and in the long run there will be a declination in productivity if such situation is left unaddressed. If an Ambulance, unfortunately, stuck in the middle of congested road, any delay can endanger the life of the patient and, such cases require intelligent, powerful and reliable traffic control system. In this paper, the Infra-Red (IR) Sensors keep track of vehicle density across the lane. The micro-controller in turn, generates the control signals to alter the traffic accordingly. During each transition phase, the Voice Recognition (VR) modules installed on lanes sense the emergency siren and thus temporarily allow passage by turning the signal green for the corresponding lane, while others, being remained at red. Using Image Processing analysis, the exact count of vehicles can be visualized in the Graphical User Interface (GUI) Tool and the green light timings for the consecutive turns can be estimated.
The Children’s Play 〈Tuition Fee〉 and the Children’s Play of Young Nation

This study aims to analyze a children"s play at the end of the Japanese colonial era by comparing and analyzing the children"s play, , written by Abe Kazuma and Kim Sang-deok. The original children"s play is Woo Soo-young"s writing, , which won the Joseon Governor-General"s Award in a writing contest for the KyungIl student newspaper, and which is also the origin of the film . Abe encouraged the use of the play to maximize the young nation’s education in the Japanese language of the young nation and tried to convince them of the "In-go-dan-ryeon" or training for patience by reading the imperial subject narration and singing Changga Inae"s song. Kim Sang-deok"s is based on the scenario of , which emphasizes the Nae-sun-il-che or the ‘Korea and Japan are One’ policy through a class on "our country" maps depicting the Japanese archipelago and the Joseon Peninsula. In addition, he inserted still photos of the yet to be shot film into the children"s play, created a theme song by composer Minoru Shizumi and songwriter Kusakawa, and made headlines when he performed the children"s play at Kyungsung Dongsimwon. The children"s play is an important meaning in three ways. First, the two works could be a proof of how deeply the Joseon Governor General was interested in Woo Soo-young"s writing. Second, the works are entirely in the Japanese language text, carrying out the Japanese authorities" policy of using the Japanese language for the young nation of Joseon. Third, the children"s play is the starting point for voluntary cooperation by Kim Sang-deok, a pro-Japanese children"s play and pro-Japanese children"s writer who promotes the policy of the Joseon Governor-General.
The EMS Synthi 100: Rare, expensive and not actually very good

Only around 26 of these synthesizers were built, and in the early 1970s each one cost about as much as a small village. Only affordable by institutions such as the Westdeutsche Rundfunk, the BBC, and the University of Glasgow, or wealthy pop stars, these were touted as being the most advanced synthesizers available. Very few pieces of music were produced using these synthesizers, and yet they command prices in excess of £50,000 having been available for as little as £2000 only 20 years ago.In trying to recreate some of the electronic music for Karlheinz Stockhausen’s “Sirius” on a restored Synthi 100 at KSYME in Athens, and on the machine at the WDR Museum Studios in Cologne, I came across numerous issues where original technological features and choices made during restoration intersect. The two main areas of interest I present are the innovative use of the technology in the realisation of the electronic music for “Sirius” in 1975, and the serious design and manufacturing flaws that prevented this kind of machine from being used to any great success. Restoration problems include the unavailability of components, and the different behaviour of alternative replacements.This paper seeks to demythologise the Synthi 100 with a dose of practical assessment of its usability.
Securing the loT Cloud

This chapter focuses on the security concerns that cloud computing introduces to an Internet of Things (IoT) system. The cloud eventually became a metaphor for the Internet—the Internet connects us to information that’s out there, information seemingly floating in the air, like clouds. Cloud object storage services must provide a means by which user access to data objects can be authenticated and user authorization can be verified. Block-level storage in cloud computing involves the emulation of traditional block devices, such as physical hard drives. As such, block storage services provide a traditional block storage device—such as a hard drive—over the network. Cloud compute services are the means by which cloud service providers enable consumers to create and manage virtual server instances running an OS or virtual machine. The cloud computing consumer is responsible for architecting their applications and cloud instances to ensure that the IoT cloud application and the cloud environment are secure.
Per-Node Capabilities for Optimum Operational Data Collection

This document proposes a YANG module that provides per-nodecapabilities for optimum operational data collection. This YANG moduleaugments the YANG Modules for describing System Capabilities and YANG-Push Notification capabilities. This module defines augmented nodesto publish the metadata information specific to YANG node-identifieras per ietf-system- capabilities datatree. Complementary RPCs, basedon the same node capabilities, simplify the data collectionoeprations.
Skogen brinner : Ett naturligt experiment på retrospektiv röstning efter skogsbränderna i Värmland 2018

The wildfires of 2018 became one of the most extensive in Sweden’s modern history. The Varmland region was with its forested landscape and highly important forest industry one of the most affected ...
A Description Logic Ontology for Email Phishing

Phishing detection is an area of identifying malicious activities designed by phishers to lure users providing sensitive information. Existing anti-phishing systems use blacklists based on specific parameters, characterize attacker’s activities with artificial and computational approaches and educate users. The development and maintenance of these systems is hard and costly because of the polymorphic nature of phishing techniques. Phishing attacks are able to scam humans with insufficient knowledge, while countermeasures focus on specific characteristics to make decisions. Defining formal approaches for representing and reasoning knowledge in anti-phishing systems is therefore a concern. This work deals with this issue by proposing formalized description logic to build the knowledge base of phishing attacks. It additionally designs an ontology-oriented approach to add semantics on that knowledge. The ontology model has been proven consistent and satisfiable. Experimentations on case studies demonstrate the ability of the proposed model to represent knowledge attack scenarios. A comparison with state-of-the-art researches shows that the proposed formalism is more adequate to characterize phishing semantics. This work could successfully complement anti-phishing systems.
What is needed for simple spatial language capabilities in VQA

Visual question answering (VQA) comprises a variety of language capabilities. The diagnostic benchmark dataset CLEVR has fueled progress by helping to better assess and distinguish models in basic abilities like counting, comparing and spatial reasoning in vitro. Following this approach, we focus on spatial language capabilities and investigate the question: what are the key ingredients to handle simple visual-spatial relations? We look at the SAN, RelNet, FiLM and MC models and evaluate their learning behavior on diagnostic data which is solely focused on spatial relations. Via comparative analysis and targeted model modification we identify what really is required to substantially improve upon the CNN-LSTM baseline.
Motion method of mobile robot considering regenerative energy

If it is an autonomous mobile robot, its efficiency changes depending on its operation plan and motion plan. Since there is no need to consider the passenger's comfort, various operation methods can be considered. We simulated the change of energy consumption due to running resistance and gradient resistance using a dynamic model of a mobile robot including a regenerative circuit. As a result, energy consumption was reduced more than models that did not include a regenerative circuit. This paper reports that the size of the slope changes the path that can be traveled with the least energy.
LibGuides: COVID-19: Library Online Services & Collections: Free Online Resources

This guide contains information about the MSU Libraries' online resources, services, and information regarding content that the Missouri State University community can access remotely.
APPLICATION OF INFORMATION COMMUNICATION TECHNOLOGIES IN EDUCATION USING THE EXAMPLE OF THE RUSSIAN FEDERATION

E. Ivanova1, V. Glebov1, E. Ivanova2 1RUDN University (RUSSIAN FEDERATION) 2Orsk Institute for Humanities and Technology (Branch of Orenburg State University) (RUSSIAN FEDERATION)
Training Plan for Business Administration Students in Marketing and Accounting: Intervention on the Difficulties in Research Writing

Successful feasibility Study and research writing depends on the competencies of writers because it might be a challenge for students to complete the study if identified difficulties were not addressed. This study aims to solve the difficulties of junior business administrators in writing a research paper and feasibility study through a training plan. The fourth-year graduating students are the respondents of the study, where a self-made validated questionnaire by the experts was utilized to measure the improvement of students in writing research after the training. The result shows that the majority of the respondents improved their own skills in the market and financial study. It is recommended that the training plan should be conducted yearly to improve the competencies of future students.
COMPETENCY-BASED APPROACH AND SUBJECT “DRAMA”: VISIONS AND CHALLENGES

In the course of the reforms of the Latvian education system and the introduction of new principles of competency-based education, a new school subject “Drama” was introduced into the educational standard. The present study considers the suggested model of a new academic subject, the content of the standard and the allocation of thematic blocks in accordance with the age specificities of school-children. Particular attention is paid to new teaching methods and understanding of theatricalization and dramatization. The study is based on content analysis of the programme with orientation onto the following indicators: creativity, theater, drama. The practical part of the study is devoted to a sociological survey of teachers about their attitude towards the new subject and the suggested standard, as well as the assessment of the new subject in the public context. As an example, several methodological techniques that focus on the interdisciplinary nature of mastering the subject of “Drama” at school are given.
Enterprise Security with Adaptive Ensemble Learning on Cooperation and Interaction Patterns

Social networking research has primarily focused on public social networking services and applications, while rich social interactions in an enterprise setting and their related context has received less attention. In this paper, we focus on using the enterprise social context to augment traditional authentication tools. This is motivated by the emergence of smart mobile devices which introduce ease of remote access to work from almost anywhere and anytime, adding spatio-temporal dimension to the social context. However, it remains a challenge to efficiently manage access-controlled events by using different contextual properties. This paper analyzes specific actions under specific access-control rules to extract context-aware machine learning predictions. Such analysis includes the introduction of three contextual metrics: document shareability, valuation, and user cooperation. Furthermore, these socially-dependent metrics are combined with our Smart Enterprise Access Control (SEAC) technique to achieve authenticity precision of 99% while improving the corresponding efficiency trade-off associated with high and strict security.
Democratizing Web Automation: Programming for Social Scientists and Other Domain Experts

Author(s): Chasins, Sarah Elizabeth | Advisor(s): Bodik, Rastislav | Abstract: We have promised social scientists a data revolution, but it has not arrived. What stands between practitioners and the data-driven insights they want? Acquiring the data. In particular, acquiring the social media, online forum, and other web data that was supposed to help them produce big, rich, ecologically valid datasets. Web automation programming is resistant to high-level abstractions, so end-user programmers end up stymied by the need to reverse engineer website internals—DOM, JavaScript, AJAX. Programming by Demonstration (PBD) offered one promising avenue towards democratizing web automation. Unfortunately, as the web matured, the programs became too complex for PBD tools to synthesize, and web PBD progress stalled.This dissertation describes how I reformulated traditional web PBD around the insight that demonstrations are not always the easiest way for non-programmers to communicate their intent. By shifting from a purely Programming-By-Demonstration view to a Programming-By-X view that accepts a variety of user-friendly inputs, we can dramatically broaden the class of programs that come in reach for end-user programmers. Our Helena ecosystem combines (i) usable PBD-based program drafting tools, (ii) learnable programming languages, and (iii) novel programming environment interactions. The end result: non-coders write Helena programs in 10 minutes that can handle the complexity of modern webpages, while coders attempt the same task and time out in an hour. I conclude with a discussion of the abstraction-resistant domains that will fall next and how hybrid PL-HCI breakthroughs will vastly expand access to programming.