Reviewerly/exHarmony huggingface dataset:
Training decision trees as replacement for convolution layers

We present an alternative layer to convolution layers in convolutional neural networks (CNNs). Our approach reduces the complexity of convolutions by replacing it with binary decisions. Those binary decisions are used as indexes to conditional probability distributions where each probability represents a leaf in a decision tree. This means that only the indices to the probabilities need to be determined once, thus reducing the complexity of convolutions by the depth of the output tensor. Index computation is performed by simple binary decisions that require fewer CPU cycles compared to conventionally used multiplications. In addition, we show how convolutions can be replaced by binary decisions. These binary decisions form indices in the conditional probability distributions and we show how they are used to replace 2D weight matrices as well as 3D weight tensors. These new layers can be trained like convolution layers in CNNs based on the backpropagation algorithm, for which we provide a formalization. Our results on multiple publicly available data sets show that our approach outperforms conventional CNNs. Beyond the formalized reduction of complexity and the improved qualitative performance, we show empirically a significant runtime improvement compared to convolution layers.
The alcohol dehydrogenase (ADH) and its isoenzymes as candidates for liver fibrosis in patients with hepatitis C

As we progress in into a digital era where most aspects of our life depend upon a network of computers, it is essential to focus on digital security. Each component of a network, be it a physical network, virtual network or social network requires security when transmitting data. Hence the dynamic wireless mesh network must also deploy high levels of security as found in current legacy networks. This paper presents a secure Geo-Location Oriented Routing (Secure-GLOR) protocol for wireless mesh networks, which incorporates a hybrid encryption scheme for its multilevel security framework. The hybrid encryption technique improves the network’s overall performance compared to the basic encryption by using a combination of symmetric key as well as asymmetric key encryption. Using the combination of the two encryption schemes, the performance of the network can be improved by reducing the transmitted data size, reduced computational overhead and faster encryption–decryption cycles. In this paper discussed multiple encryption schemes for both symmetric and asymmetric encryption, compare their performance in various experimental scenarios. Proposed security scheme achieves better performance based on the results obtained with most viable options for our network model.
Development and enhancement of a cyber range at the North Dakota State University (Conference Presentation)

With an increase in demand for cybersecurity professionals, more effective cybersecurity training methods are needed to consistently build student proficiency to the level required by industry. Traditional computer science education methods do not adequately prepare students for the challenges, tools and work environments they face in the cybersecurity industry. A hands-on cyber range education method developed in 2018 addresses the need for a blended system design to support gamified education and training programs. The implemented method, entitled Gamification, Education, and System Engineering Design (GESED), requires an extensible integrated cyber range. In the second class offering using the cyber range, host-based intrusion detection systems and network monitors are being added into the cyber range and curriculum. Offering students the ability to use these systems and monitors hands-on offers additional distinct learning advantage over conventional education methods. The research, presented in this paper, shows an increase in knowledge retention across multiple learning domains for the course when using the cyber range approach versus conventional methods. Course exam outcomes indicate that students are more likely to pass industry certification exams after training with our cyber range versus conventional methods. The learning outcomes from the implementation of network monitors and host-based intrusion detection systems into the cyber range environment will also be discussed. The GESED method was implemented using extensible design principles that were designed to allow enrolment growth. The paper will report on the efficacy of using the system for a class offering with double the original run’s student enrollment.
LibGuides: Use Library Search: Adding favourites

Learn how to use Library Search to find the different types of resources you require for your research
LibGuides: MATH 6001 Seminal and Current Research in Mathematics Education with Emphasis on Grades 11-14: Welcome!

Strategies, tips and links to locate and gather resources for your research projects and course assignments.
Color Balance and Fusion for Underwater Image Enhancement

A successful method is initiated to the underwater images which get skint due to the absorption and medium scattering. Image structure’s underwater information or any hardware is not required. The two images that are derived straight from a color – compensated and white – balanced description of the original tarnished images are figured on this. The output image’s color contrast and edges are defined by these two images which tend to fusion and also their related weight maps. A multiscale fusion strategy is personalized to avoid the pointed weight map transitions that create artifacts when low frequency components are used for the reconstructed image. Our widespread qualitative and quantitative assessment proves that our superior images and videos are considered by better protection of the dark regions, better global difference and edge sharpness. The exactness of numerous image processing applications, such as image segmentation and keypoint matching are enhanced by our algorithm since it is independent on the camera settings.
A Semi-Automatic Approach for Syntax Error Reporting and Recovery in Parsing Expression Grammars.

Error recovery is an essential feature for a parser that should be plugged in Integrated Development Environments (IDEs), which must build Abstract Syntax Trees (ASTs) even for syntactically invalid programs in order to offer features such as automated refactoring and code completion. Parsing Expressions Grammars (PEGs) are a formalism that naturally describes recursive top-down parsers using a restricted form of backtracking. Labeled failures are a conservative extension of PEGs that adds an error reporting mechanism for PEG parsers, and these labels can also be associated with recovery expressions to provide an error recovery mechanism. These expressions can use the full expressivity of PEGs to recover from syntactic errors. Manually annotating a large grammar with labels and recovery expressions can be difficult. In this work, we present algorithms that automatically annotates a PEG with labels, and build their corresponding recovery expressions. We evaluate these algorithms by using them to generate error recovering parsers for four programming languages: Titan, Pascal, C and Java. The results show that with a small amount of manual intervention our approach can be used to produce error recovering parsers for PEGs where most choices have alternatives with disjoint FIRST sets.
Application of Monte Carlo Tree Search in Two Player Finite Games

By Alex Stringfellow, Mathematics Advisor: Robert Buckingham Presentation ID: PM_D32 Abstract: Not fully finalized, but I will examine how a Monte Carlo tree search algorith can be used in two particular finite games and the results.
A Study on Use of Online Public Access Catalogue by The Users of Shivaji University, Kolhapur

The users in library can search the bibliographic database and find the specific information online. The users mostly search the new titles of new books and users want to also reserve it. OPAC is also helpful for displaying current status of any books this is very useful for all users. This paper examine Online Public Access Catalogue usage by student in pure science of Shivaji University, Kolhapur. The paper discusses various aspects of OPAC such as How to know to about the OPAC, Awareness of the OPAC, satisfaction level, modes and method of searching on OPAC etc. The result of the study show that training or user orientation programme is compulsory to all the users of Shivaji University. The major problem find out is internet connectivity and awareness about the OPAC. Keywords: Online Public Access Catalogue (OPAC), Shivaji University library, Users Cite this Article Priyanka S. Barpate, Ar. Pratiksha M. Jadhav. A Study on Use of Online Public Access Catalogue by The Users of Shivaji University, Kolhapur. Journal of Advancements in Library Sciences . 2019; 6(Special Issue 1): 363s–368s.
PENGGUNAAN GAMBAR KOMPUTER (COMPIC) DALAM MENGATASI KESULITAN MEMBACA PERMULAAN

This research was conducted to improve learning in elementary schools. The problems in this action research include how (1) the characteristics of elementary school students who have difficulty reading, (2) the type and level of difficulty of reading elementary school students, (3) factors that cause students to have difficulty reading (4) the implementation of learning for children having trouble reading. The research objectives to be achieved are to identify the characteristics of elementary school students who have difficulty reading, the type and level of difficulty reading elementary school students, the implementation of Compic media learning for children having difficulty reading. The research method used is descriptive qualitative method with Classroom Action Research approach, the implementation of the study consisted of 3 cycles. Data collection is done through observation, tests, interviews and field notes. The research subjects in this study were first grade students of SD BPK PenaburTasikmalaya, as many as 6 people from 18 students. The results showed that: (1) identification of children having difficulty reading, the characteristics emerged and those that appeared from the child were reading slow, when asked about difficulties and many were silent, (2) The reading level of class I students was different, the type of difficulties indicated by 6 students there is a low reading level, (3) a factor that causes students to have difficulty reading comes from an environment that is less supportive of reading and self-factor knowledgealone, (5) learning outcomes of first grade children of SD BPK Penabur Tasikmalaya using Compic Media increased. The value of students who have difficulty reading there is an increase in the value of the initial reading significantly from the average value of the value of 4.5 to 6.5. Key Word: beginning reading, Compic , reading difficulties
LibGuides: Virtual & Augmented Reality: Reality Lab for VR

Learn about Virtual and Augmented Reality, and services available at the Nexus Collaborative Learning Lab! Policies on the library's 3D printing service
LibGuides: Use Library Search: Refine your search

Learn how to use Library Search to find the different types of resources you require for your research
LibGuides for Library Schools: "Big Idea" Libraries and Community Engagement: Home

Libraries are not only places of information, they present opportunities to engage with their community by providing innovated services and programs, addressing ongoing and emerging needs, and working with community partnerships.
Building an Open-Source Cross-Cloud DevOps Stack for a CRM Enterprise Application: A Case Study

Open Source software solutions play a critical role for the SMEs by enabling easy access to reusable software. Also, with the rapid growth in the popularity of the cloud technologies, computational demands of SMEs are cost-efficiently met by the public clouds as users can dynamically acquire resources on demand according to their needs. However, non-standardized cloud interfaces, lack of inter-cloud transparency, and complex cost models, often result in vendor lock-in. Once in vendor lock-in, cloud users have to live with a single cloud provider and accept whatever pricing schemes and SLAs are imposed. Moreover, new regulations covered by the General Data Protection Regulation (GDPR) in Europe require companies to enforce policies regarding secure storage of data in the cloud, as well as restrict moving confidential datasets outside Europe. This situation requires a more transparent use of cloud resources from multiple cloud providers, that conform with user’s data privacy needs, service requirements, and budget. In this paper, we discuss challenges and pitfalls of designing a Cross-Cloud DevOps stack for an app-based extension platform of a Customer Relationship Management (CRM) system. The fully-automated DevOps stack, based on open source software tools and technologies, has been developed in close coordination with an open source integration project, Melodic. With the help of our DevOps stack, third-party apps in our CRM software are now Multi-Cloud ready, and the data storage in the cloud by the users conforms to potential GDPR requirements. In addition, the deployment time of apps has been reduced to minutes, while the platform is able to scale up and scale down apps efficiently based on the current workload requirements, saving substantial cloud costs.
The growing cyber threat to physician practices

Practices are increasingly coming under attack by cyber criminals, so physicians must take steps to improve their security efforts.
THE ATTRACTIVENESS OF FUZZY – AN INTELLIGENT MANAGEMENT SYSTEM

This article speaks on the efficacy of the fuzzy systems. Its simplicity, flexibility and adaptive natures are much suitable do design these as fuzzy controllers. Since fuzzy is more adaptive to the situations it can be used as smart controllers to non linear problems. Non –linear behavior systems are tamed by fuzzy rules more easily.
Fuzzy Cognitive Map of Vulnerability by Interactive Qualitative Analysis

Along with the internationalization and globalization, the rapid change of the era, and the increase in the diversification of customer demands, business management is facing intensive turbulence. Currently, the financial industry in Taiwan is at the era of radical changes in the external environment and fast revolution in information technology. It forces the operators in the financial industry to equip themselves with certain knowledge and responding capability for the business risk at the external environment in order to be ready to provide a situation-conforming and concrete revolutionary proposal for the financial crisis encountered. The article uses business risk in the financial institutions as the research topic and constructs fuzzy cognitive maps based on the perspective of vulnerability and resilience. The research outcome reveals the factors that affecting vulnerability including risk appetite, compliance, operational management, organizational culture, and internal audit as well as the frequency of communication & negotiation and external linkage.
Pfeiffer Library: Literature Reviews: Locating Literature Reviews

Provides instructions for locating, reading, interpreting, and responding to literature reviews. Tips for locating resources through library databases and online.
On the Legendre differential equation with uncertainties at the regular‐singular point 1: L p ( Ω ) random power series solution and approximation of its statistical moments

is the peer reviewed version of the following article: Calatayud, J, Cortes, J-;C, Jornet, M. On the Legendre differential equation with uncertainties at the regular-singular point 1: Lp random power series solution and approximation of its statistical moments. Comp and Math Methods. 2019; 1:e1045. https://doi.org/10.1002/cmm4.1045 , which has been published in final form at https://doi.org/10.1002/cmm4.1045. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Educação de usuários e competência em informação: interlocuções teóricas e práticas

It deals with the relationship between user education and Information Literacy. In order to reach this goal, it presents the historical and conceptual evolution of information users and the themes of user education and information competence at national and world level. Furthermore, it presents elements close to user education and Information Literacy, which are the studies of information users and user behavior. The accomplishment of this task includes a bibliographical survey of the literature in the Portuguese and English languagesavailable in national and international databases. From the literature presented, the research identified conceptual congruence between the two spheres, in which both promote independent and lifelong learning through the development of skills, attitudes and values related to the use of resources and sources of information. A subtle difference was evidenced in the genesis of movements, in the representation of the library environment, and in the matter of information evaluation. In the end, it concludes that both movements associate Librarianship and Information Science with the educational role of librarians and libraries and the construction of a free and democratic society.
Pfeiffer Library: DEC100 Engage (Online): Live Help

Library guide to accompany the 7-week, online DEC100 course. Synchronous library services (for when you need to speak to a live person!)
Enhanced Learning from Multiple Demonstrations with a Flexible Two-level Structure Approach

Learning from demonstration (LfD) has been emerged as a successful transfer learning technique to speed up reinforcement learning (RL). However, the effectiveness of the LfD heavily depends on the quality of the demonstrations. This work investigates how to enable efficient human-agent (or agent-agent) knowledge transfer and allow the RL agent to extract useful information from multiple demonstrations of different quality. In particular, we aim to avoid the effect of noise or bad examples from the collected demonstration data. Inspired by the multi-armed contextual bandit problem and Human Agent Transfer algorithm, we developed a Flexible Two-level Structured Approach to address the above challenges. Evaluated with Mario, Cart Pole and RC Car domains, the experimental results show that this approach holds the promising capacity to successfully leveraging the demonstrations of different quality.
Swarms Can be Rational

A fundamental challenge in multi-robot systems is spatial coordination (avoiding collisions) between robots, each under its own control. Swarm methods, where by robots coordinatead-hoc andlocally, offer a promising approach. However, while empirically demonstrated to be viable in practice, no guarantees of performance are known. % journal:, nor a formalization of the task in a way that admits analysis. This paper formalizes a class of multi-robot cooperative tasks as differential extensive-form games. We show that the system coordination overhead is a differential function, forming a connection between the theoretical maximum-payoff equilibrium of the system, and the rational self-interested choices of individual robots during task execution:robot swarms can be rational in theory. We then show how to approximate the rational decision-making in practice using reinforcement learning, % journal while operating strictly within using internal measures for rewards. We empirically show this leads to consistent optimal performance in with physical and simulated robots.
An Online Metadata-Driven Editor for Rich Maze Video Games for Education

In recent years, video games have become increasingly popular and used not only for entertainment but also in the form of serious games in the process of education and vocational training, in advertising campaigns, etc. However, serious games still cannot be used widely by teachers and instructors mainly because of their high-cost development and difficulties in maintaining educational content and integration of different pedagogical strategies in the game depending on training goals. Therefore, there is a need for software platforms for design and generation of video games for educational purposes from trainers and pedagogues. In this article, we present an open software platform that allows non-IT professionals like teachers, pedagogues, and educationalists to construct and generate rich educational video maze games. The platform is under development in the scope of the APOGEE (smArt adaPtive videO GamEs for Education) research project and includes an online, metadata-driven editor for design of rich educational maze games. The designed games can be exported in the form of an XML document including the semantic structure of game, didactic content and audio-visual interiors of maze halls. The editor is controlled by a predefined XSD schema which is used for user-input validation. The editors purpose is to remove the complexity for non-technical people and to allow them easily to build an XML document of maze configuration that will be imported into the Unity 3D environment. Hereby, non-IT professionals will be able easily to create and generate new rich educational maze games incorporating targeted educational content and pedagogical strategies.
Evaluating the Effectiveness of Multi-Agent Organisational Paradigms in a Real-Time Strategy Environment: Engineering Multiagent Systems Track

We study the impact of using different organisational paradigms on the design and implementation of a Multi-Agent System (MAS) for Real-Time Strategy (RTS) games. We examine systems designed and implemented according to a specific paradigm on their performance in a practical scenario, as well as examining software-engineering concepts like size and complexity entailed by the according implementations. In contrast to related theoretical work, we deal with the practical constraints and implications of the paradigms by targeting the prototypical RTS game StarCraft: Brood War. Through careful analysis of this environment, agent systems for four separate paradigms that operate at different levels of autonomy and communication are designed, implemented, and evaluated by thousands of instrumented runs. One of the main findings is that using a central processing agent, e.g. in a market-based approach, increases task performance, but at the cost of increased code complexity.
A Genetic Algorithm for Fully Automatic Non-Isometric Shape Matching.

Automatically computing shape correspondence is a difficult problem, especially when the shapes are significantly different. In this paper we suggest a fully automatic method for shape correspondence, that is suitable for non isometric shapes and shapes of different topology. We tackle the combinatorial task of putting in correspondence two sparse sets of landmarks using a genetic algorithm. Our main observation is that optimizing an objective based on an induced dense functional correspondence, combined with geometric genetic operators, is highly effective for non isometric shape matching. The output of the genetic algorithm is a sparse landmark correspondence, as well as a corresponding functional map. Finally, an accurate pointwise map is extracted using existing semi-automatic methods. Our method is general, widely applicable, and outperforms state of the art methods for automatic shape correspondence both quantitatively and qualitatively.
Examining Machine Learning as an alternative for scalable video analysis

Video is a large part of today’s society where surveillance cameras represent the biggest source of big data, and real-time entertainment is the largest network traffic category. There is currently ...