Reviewerly/exHarmony huggingface dataset:
Segmentation-based Cognitive Solution for Handwritten Character Recognition

Soft computing is the area in the field of computer science where hard and complex tasks are accomplished with low cost or high benefit (in time and investment) with one or more in-exact solution techniques. It is not a single area of research or a process of study whereas it is commonly accepted and included with numerous computational and research area including Neural Networks, Fuzzy system, Evolutionary computing like Genetic Algorithms, Swarm Intelligence, Cognitive Reading and Chaos theory. The trend of researches in Cognitive Reading has become so popular in programming area in the field of Computer science from late 1990s when scientists and researchers show more interests on computational approaches are complex in nature to derive from a known algorithm of solution. This article explains some of the methods in Cognitive reading in image processing for character recognition and briefly discusses the steps involved in the process of Character recognition in image processing.
Development of a Unique Biometric-based Cryptographic Key Generation with Repeatability using Brain Signals

Network security is very important when sending confidential data through the network. Cryptography is the science of hiding information, and a combination of cryptography solutions with cognitive science starts a new branch called cognitive cryptography that guarantee the confidentiality and integrity of the data. Brain signals as a biometric indicator can convert to a binary code which can be used as a cryptographic key. This paper proposes a new method for decreasing the error of EEG- based key generation process. Discrete Fourier Transform, Discrete Wavelet Transform, Autoregressive Modeling, Energy Entropy, and Sample Entropy were used to extract features. All features are used as the input of new method based on window segmentation protocol then are converted to the binary mode. We obtain 0.76%, and 0.48% mean Half Total Error Rate (HTER) for 18-channel and single-channel cryptographic key generation systems respectively.
LibGuides: Continuity of Library Research & Instruction: Returning Library Materials

Library Resources and services available at SUNY Erie in preparation of increased distance learning Spring/Fall 2020
Libraries: Creating Pages on your Journal Website: Getting Started

This guide will demonstrate how to create a static page on your journals website while making sure it is accessible to readers.
Foreground Segmentation Using Multimode Background Subtraction in Real-Time Perspective

Nowadays foreground segmentations are becoming more complex in videos and images while capturing at distinct backgrounds. In this work, we addressed the multimode background suppression in video change detection, where it has many challenges to handle like illumination changes, different backgrounds, camera jitter and moving cameras. The framework contains different inventive systems in background modeling, displaying, order of pixels and use of separate shading spaces. This framework firstly allows numerous background scene models that are pursued by an underlying foreground/background used to estimate the probability for each pixel. Next, the image pixels are merged to form megapixels which are used to spatially denoise the underlying probability assessments to generate paired shading spaces for both RGB and YCbCr. The veils formed during the processing of these information pictures are then merged to separate the foreground pixels from the background. A comprehensive assessment of the suggested methodology on freely available test arrangements from either the CDnet or the ESI dataset indexes shows prevalence in the implementation of our model over other models.
USING POSTERS TO PROVIDE SEX EDUCATION FOR CHILDREN

The rise of sexual harassment against children prompted one of the Indonesian children's book writers to make a poster of  6 Langkah Melindungi Dirimu Saat di Sekolah  and spread it freely through social media or e-mail. It turned out that some parents were interested in owning the poster and felt they needed the poster to provide education for their children. The author then conducted a mini-survey to 12 parents who already had the poster. The survey consists of five questions that try to find out the background of the parents having posters, the reason they print the poster, locations to place or post the printed posters, how they educated their children, and the function of the poster to educate the children. The survey showed that parents get the posters from Watiek Ideo, parents realized their importance to provide sex education early to their children, parents decided to put posters in their houses and at their children's schools so that more children would receive education through the posters, parents quite creative in educating their children through poster combine with song or other media, parents feel the poster help them much in providing sex education for their children. Keyword s : Poster, Sex Education, Children, Parent
Answering Questions in Natural Language About Images Using Deep Learning

Visual Question Answering is a perfect mix of issues enveloping different spaces including Natural Language Processing, Computer Vision and knowledge portrayal. The problem involves giving an image and a natural language question as an input to the computer, process them together and give an accurate answer to the question in the context of the image as the output. The answer can be a single word answer, phrase or sentence depending on the question and the image. We explore the various approaches used by global teams to deal with this problem and the specifications of the publicly available dataset in order to analyze the feasibility and scope of this domain. This technology finds its use in helping blind people in object recognition using voice commands. It may also be used by physicians and medical practitioners to confirm or validate their diagnosis about medical imagery. Since this field is relatively new the possibilities are endless when it comes to datasets, algorithms and accuracy achieved. We aim at understanding this expanse of possibilities at hand and develop conclusive ideas about its further growth.
LibGuides: Gardening and Horticulture Open Access Resources: Find Open Access Scholarly Research

This guide provides many open access (free to use) resources regarding agriculture, horticulture, and other topics usually covered within the University Extension programs.
Subject & Course Guides: Optical Character Recognition (OCR) - Getting Started: Home

Basic overview of several tools (both open source such as Tesseract and commercial such as Adobe Acrobat) that perform optical character recognition (OCR).
LibGuides: Using the Library Remotely: Have Library Items Checked Out Now?

This guide will help faculty and students navigate the library resources during full or partial campus closure events.
REDESIGN DA IDENTIDADE VISUAL DA EMPRESA MARCONSOFT

This thesis consists on developing a redesign for Marconsoft's visual identity, in which the objective is to build a stronger and distinct image for the brand among its competitors, while expanding its business. For the work's accomplishment it was used Alina Wheeler's projectual methodology, as well as bibliographic references to conceptualize graphic design, visual identity, brand book and all subjects involving Design. This enabled a satisfactory result through a new visual identity that conveys the brand's values. The new identity was approved by the company manager and thus reached its objective.
800 Malaysian University English Test (MUET): Regulations and Test Specifications

The present revision of the MUET syllabus is the second since 1999, and has been undertaken in order to ensure that MUET retains its position in testing English proficiency. The changes in the test specification involving Listening, Speaking, Reading and Writing have been made in order to align MUET with the Common European Framework of Reference (CEFR).
University Libraries: Recommended Reading in Times of Crisis: eBooks and Audiobooks: Home

Yeshiva University librarians recommend titles available as e-books and audiobooks during the COVID-19 health emergency.
Modeling Threat of Leaking Private Keys from Air-Gapped Blockchain Wallets

In this paper we consider the threat surface and security of air gapped wallet schemes for permissioned blockchains as preparation for a Markov based mathematical model, and quantify the risk associated with private key leakage. We identify existing threats to the wallet scheme and existing work done to both attack and secure the scheme. We provide an overview the proposed model and outline justification for our methods. We follow with next steps in our remaining work and the overarching goals and motivation for our methods.
How to Development Learning Models for Programing Algorithms E-Learning Assistance

This research aims to develop a learning model of Programming Algorithms and the Data I Structure of e-learning assistance. Research and development of this model will produce products in the form of print modules, learning designs and e-learning assisted media for Algorithms and Data I Structure courses. Development of learning models for Programming Algorithms and Structure of Data I for e-learning assistance using the Dick and Carey model design modified with the Trollip and Alessi models. The steps taken in the development of this model are preliminary research, planning and model development, validation, evaluation and revision of the model, and implementation of the model. Validation results from experts consisting of 93% learning design experts, 95% material experts, and 87% of media experts recommend that this development model is used in learning Programming Algorithms and Structure of Data I. As for the implementation of individual trials are achieved 95% achievement, a small group trials reaching 95%, and a field test achieved 96% success. The conclusion of the expert validation process and the results of trials, that the development of learning models of Programming Algorithms and Structure of Data I for e-learning assistance is feasible to be used in learning.
Secret key sharing schemes in optical cryptosystems based on double random phase encoding

This paper overviews new secret key sharing schemes which can be useful in optical cryptosystems based on double random phase encoding. These key sharing schemes, which are complex waveform versions of the Diffie-Hellman (DH) key exchange, allow us to establish the shared secret key in the Fourier optics-based cryptosystems. We show that the presented schemes can also be applied to cryptosystems in which multiple users can share a secret key securely.
Vario-scale visualization of the AHN2 point cloud

LiDAR technologies are used to measure point cloud data of the earth's surface. The usage of LiDAR allows for the fast collections of massive data sets. The AHN2 point cloud data set, part of Rijkswaterstaats initiative to map the surface of the Netherlands, contains 639 478 217 460 points. For efficient visualization in web viewers, these massive point clouds are stored in an octree data structure. Visualization through this method has the downside of discretely visualizing the point cloud. These discrete artefacts are referred to as density jumps, and are visible where there is a boundary between blocks retrieved from the octree. These blocks contain different densities because they are retrieved from different levels of the octree. This thesis proposes a continuous visualization method for massive point cloud data sets that aims to eliminate these density jumps. While the continuous visualization of vector data sets has been extensively researched, this is a novel field of research for point cloud data sets. This thesis explores the feasibility of a vario-scale visualization method, and aims to implement it in an existing web viewer architecture. Due to the massive nature of the AHN2 data set, cloud computing and distributed computing techniques are used to imrove the workflow. The presented methodology removes the \textit{density jumps} by determining an upper density bound for the point cloud density relative to the camera position. Circle packing theory is used to reinforce the upper bound continuously, thus removing artefacts created by discrete density jumps. A proof-of-concept for this theory is implemented in an existing point cloud web viewer architecture.
An investigation into the impact of employee empowerment on organizational commitment: The case of Zajil International Telecom Company of Jordan

The aim of this study is investigating the impact of the main dimensions of employee empowerment (power, knowledge, self-determination and work-impact) on the basic types of organisational commitment (affective, normative and continuance) at Zajil International Telecom Company of Jordan. A sample of 220 employees (the whole technical and managerial staff) was withdrawn from a total population of 300 employees working at the Zajil International Telecom Company. A six-part questionnaire was developed, academically refereed, modified and then distributed. 217 questionnaires were correctly filled in and returned, that were later used for conducting validity, regression and correlation statistical testing using SPSS package. The main results of this study have plainly indicated that employee empowerment in terms of (power, knowledge, self-determination and work-impact) has a significant positive impact on the key types of organisational commitment (affective, continuance and normative). This result represents the originality of this study. It would be reasonable to state that the main objective of this study (determining to what extent that the employee's job title and nationality moderated the impact of employee empowerment on organisational commitment at Zajil International Telecom Company) was attained.
Region Hiding for Image Inpainting via Single-Image Training of U-Net

In this paper we introduce the concept of region hiding as a clever way to inpaint an image using machine learning in which training relies solely on the damaged image itself. Region hiding encourages the network to learn the act of inpainting as it pertains to a specific image by hiding random intact regions and awarding accurate, coherent predictions of the hidden regions. This is done with respect to the entire image sans the truly missing or damaged areas. Once the network is trained to inpaint the intact hidden regions, it is employed to inpaint the truly missing regions of the damaged image. We show that using a U-net-like architecture with partial convolutional layers and transformation-based augmentation generates good image inpainting results even when the system is trained on a single image.
LibGuides: Government Documents: Using the Collection

The Government Documents Department supports the Libraries' objectives by providing federal and state resources, instruction and other services for Columbus State University and the local community.
A New Hybrid Grasshopper Optimization - Backpropagation for Feedforward Neural Network Training

The Grasshopper optimization algorithm showed a rapid converge in the initial phases of the global search, however while being around the global optimum, the searching process became so slow. On the contrary, the gradient descending method around achieved faster convergent speed global optimum, and the convergent accuracy was showed to be higher at the same time. As a result, the proposed hybrid algorithm combined Grasshopper optimization algorithm (GOA) along with the back-propagation (BP) algorithm, also referred to as GOA–BP algorithm, was introduced to provide training to the weights of the feed forward neural network (FNN), the proposed hybrid algorithm can utilize the strong global searching ability of the GOA, and the intense local searching ability of the Back-Propagation algorithm. The results of experiments showed that the proposed hybrid GOA–BP algorithm was better and faster in convergent speed and accuracy than the Grasshopper optimization algorithm (GOA) and BP algorithm.&#x0D; &#x0D; http://dx.doi.org/10.25130/tjps.25.2020.018
Proposal of a Software Development Process for a Poultry Company in Colombia

This paper describes the implementation and deployment of a software development process for a development unit in a recognized poultry company in the coffee region location of Colombia. This software process was formulated in compliance with the ISO 29110 standard, which serves as guidance for defining the required artifacts and tools. In addition, the IDEAL model was used as a roadmap for defining the process. This model allows us considering continuous improvement tasks over the software development projects that the company proposes for addressing business rules of the poultry sector.
LibGuides: MBA 740 Communications and Critical Thinking for Ethical Decision Making EF: Home

Produced for Dr. Fubara by Dan Maynard, Adapted from Business Research & Analysis remote delivery LibGuide
Theoretical analysis of quaternion image matching performance

Recently, quaternions have been applied to multi-channel image processing such as color image registration, edge detection, and image matching. The general approach consists of using up to four image components as separate components in a quaternion-valued image. Techniques from quaternion algebra and analysis, such as quaternion Fourier transforms and correlation, are exploited to implement the desired image processing operations. The motivation underlying use of quaternions involves the concept of holistic data processing. That is, information in separate channels is processed jointly, thereby leveraging correlations across channel. Furthermore, quaternion transforms, such as the Fourier and wavelet transforms, have been defined and can be applied to process quaternion-valued imagery. For example, analogues from classical signal processing, such as the convolution theorem, have been derived and can be used to reduce computational burden. Such quaternion-based image processing techniques can provide performance superior to classical approaches which process image components independently. However, under certain conditions, performance of quaternion-based methods fails to meet performance of independent channel processing methods. In this paper, we perform a theoretical analysis of the performance of quaternion image matching. We present conditions under which quaternionbased processing outperforms, or falls short of, independent channel processing methods. We produce numerical image matching results validating the theoretical performance analysis using synthetic data. We define and solve a linear system of equations to generate the synthetic data. Receiver Operating Characteristics curves are provided to demonstrate the improved performance of the quaternion image matching approach under the favorable conditions predicted by the theory.
The Effect of the Gender and a Personal Greeting of the Chatbot on the User Satisfaction

In the past few years, the number of bots online has increased enormously, ranging from searchengines to chatbots for customer service and spambots on social media. The world is surrounded bythese user interfaces even though most of the people have a poor knowledge of how theseconversational agents are interacting. In this thesis, I study the effect of the gender and the personalgreeting of a chatbot on user satisfaction. Data were collected in an online experiment, in whichparticipants conversed with a customer service chatbot from the fictive airline ‘CarryMe’. The genderand the type of communication (personal greeting or not) varied across treatments. Gender had asignificant effect on the mean user satisfaction score. More specifically, the female chatbot scoredhigher on satisfaction than the male chatbot. Impact of the personal greeting was less clear. Impersonalchatbots seemed to positively affect satisfaction but it depended on the type of statistical test used.There was also some evidence that the personal female chatbot scored higher on user satisfaction thanthe personal male chatbot.
Evaluation of different contour extraction approaches in the context of contour based image registration (Conference Presentation)

In recent years, imagery from airborne sensors has become available at low costs, due to the advent of affordable drone systems. Such imagery can be used for addressing many different tasks in various fields of application. While the imagery itself bears all of the information required for some tasks, other tasks require the imagery to be georeferenced satisfying certain accuracy requirements. If the latter is not the case when performing such tasks, registering the imagery to reference images that come with a satisfying georeference allows us to transfer this georeference to the imagery. Many registration approaches described in literature require an image and the reference to be of sufficiently similar appearance, in order to work properly. To address registration problems in more unsimilar cases, we have been developing a registration method based on contour matching. In a nutshell, this method comprises two main steps, namely contour point extraction from both the image and the reference and matching them. Towards the optimization of the overall performance of our registration method, we strive to improve the performance of each step individually, by both implementing new algorithms and fine-tuning relevant parameters. The scope of this work is the implementation of a novel contour point extraction algorithm to improve step one of our method, as well as its evaluation in the context of our registration method. Line shaped objects exceeding a certain length, such as e.g. road networks, are likely to be present both in the image and the reference, despite their possible appearance disimilarity. The novel contour point extraction algorithm capitalizes on this by focusing on the extraction of contour points representing such line shaped objects.
The technological mediation of sustainability:Design as a mode of inquiry

This paper investigates the possibility that the instrumentally rational nature of late-modernity restricts product design from contributing substantively to sustainability as this form of rationality views technological artefacts in neutral terms and discourages reflection upon the “ends” that technologies serve. The philosophical approach of postphenomenology is proposed as a lens for supporting product design students to address sustainability more substantively as postphenomenology emphasises the “ends” that technologies serve by understanding technologies as being active mediators of the relations people have with their world. A practice-based design research method is introduced, which aims to support design students to engage with postphenomenology through the activity of designing. This method involves the creation of conceptual objects that critique technologies and embody alternate values to those that typically drive technological development in late-modernity. Finally, distinctive aspects of the designing process associated with this method are identified that support students to address sustainability in a more substantive manner than late-modernity encourages.
ULibraries Research Guides: Media Streaming Databases : Start Here

The Marriott Library subscribes to and purchased many streaming databases. This guide to help faculty, staff and students identify and locate streaming packages and films available for use in an academic environment.