Reviewerly/exHarmony huggingface dataset:
Pulsed-encoded pattern projections for phase-shifting projected fringe profilometry

A pulsed-encoding scheme for phase-shifting projected fringe profilometry is presented. The projected fringe patterns used to perform the phase-shifting technique can be used to identify the fringe orders directly. For the filed of view 300<i>mm</i>×300<i>mm</i>, systematic accuracy was approximately 600<i>μm</i>.
Assessing objective video quality in systems with multi-generation transcoding

In a multi-generation transcoding system, the source may be an encoded mezzanine video whose objective video quality metrics (e.g., PSNR, SSIM) are unknown. Transcoding process yields objective quality metrics that are relative to the encoded source video, which does not indicate the actual quality of the transcoded video relative to the original uncompressed reference video. In this paper, we present an approach for estimating the objective quality metrics of the encoded mezzanine and demonstrate that it has higher accuracy compared to a well-known scheme. Finally, we derive bounds for the end-to-end objective quality metrics of the transcoded video, and use it for controlling the transcoding process to ensure that the final transcoded video satisfies a quality criterion.
Evaluation of Two Feature Extraction Techniques for Age-Invariant Face Recognition

Huge variation in facial appearances of the same individual makes Age-Invariance Face Recognition (AIFR) task suffer from the misclassification of faces. However, some Age-Invariant Feature Extraction Techniques (AI-FET) for AIFR are emerging to achieve good recognition results. The performance results of these AI-FETs need to be further investigated statistically to avoid being misled. Here, the means between the quantitative results of Principal Component Analysis–Linear Discriminant Analysis (PCA-LDA) and Histogram of Gradient (HoG) are compared using one-way Analysis of Variance (ANOVA). The ANOVA results obtained at 0.05 critical significance level indicate that the results of the HoG and PCA-LDA techniques are statistically well in line because the F-critical value was found to be greater than the value of the calculated F-statistics in all the calculations.
Photonic nonvolatile memory for optical matrix multiplications

Here we present a novel concept and its optimization of multi-level quantized non-volatile photonic memories based on a compact hybrid phase-change-material GSST-silicon Mach Zehnder modulator, with low insertion losses to serve as node in a photonic neural network. We demonstrate a 3-bit (8-state) photonic nonvolatile memory heterogeneously integrated into silicon PICs. We show switching operation of this device from the crystalline to the amorphous state using thermal heaters on-chip. We then show how these photonic memory elements can be utilized to design and demonstrate photonic tensor core functionality in vector matrix multiplication (VMM) engines with a compelling runtime complexity of O(1) uses O(N^3) resources (devices) could perform in the range 2-500fJ/MAC, 1-50 TMACs/mm^2, and ~100ps (1 clock cycle) per VMM operation.
Evaluation of Solar radiation resources and modeling of ﬂexible thin-ﬁlm modules in Eastern Province – KSA

This paper epitomizes the analysis of the solar resource measurements and a simulation of curved thin-film modules for photovoltaic applications. The analysis used 1 year (January 1, 2018 until December 31, 2018) of data from 7 stations distributed across the eastern province (KSA) based on measurements of Global Horizontal Irradiance (GHI), Diffuse Horizontal Irradiance (DHI), Direct Normal Irradiance (DNI), and related meteorological parameters. The 7 stations show the results obtained for the annual average daily GHI over the study period shows a variation of almost 300 Wh/m2 among station, with mean daily total values in the eastern region 6755 Wh/m2. The results above indicate that photovoltaic would perform well at any location although extreme high temperatures in some locations may degrade the performance of some types of photovoltaic. Annual average daily DNI all above 5500 Wh/m2. The average daily total DHI over the study period among stations is 2840 Wh/m2. Second part of study uses two-step model, 1D and 3D model. The 1D describes the technology and outputs device (current density, temperature, illumination), 3D model uses this data as one of its inputs, and describes size, shape within the curved flexible module.
Analyse und Bewertung von Softwarearchitekturen

No AccessEffektive SoftwarearchitekturenAug 2020Analyse und Bewertung von SoftwarearchitekturenGernot StarkeGernot StarkeSearch for more papers by this authorhttps://doi.org/10.3139/9783446465893.008SectionsAboutPDF ToolsAdd to FavoritesDownload CitationTrack CitationsCopy LTI LinkPDF key 'share (en)' returned an object instead of string.FacebookTwitterEmailLinkedIn previous chapternext chapter FiguresReferencesRelatedDetails 2020Pages: 307-320Print ISBN: 978-3-446-46376-9eISBN: 978-3-446-46589-3 Copyright & Permissions© 2020 Carl Hanser Verlag GmbH & Co. KGPDF downloadLoading ...
Software implementation for transfer functions of arbitrary order on managing controllers

Abstract Despite the great capabilities of controllers of the Simatic type, their library lacks a block for implementing the transfer functions necessary for programming complex control algorithms both in research by simulation and in industrial applications. This article discusses a method for software implementation of transfer functions of arbitrary order and delay in the Tİ A (Totally Integrated Automation) environment. The programs compiled in SCL and LAD languages and examples confirming the validity of the proposed method are given A program is presented that implements the solution of a difference equation in the SCL language, as well as programs for implementing the factorial and the number of combinations. These programs are designed as functions. The fourth program, compiled in the LAD language, is designed to build a transient process for a given transfer function in real time. The created software blocks allow developing software for the study of fairly complex regulatory systems by simulating and adapting to real industrial conditions without much difficulty.
A Novel Design of Audio CAPTCHA for Visually Impaired Users

CAPTCHAs are widely used by web applications for the purpose of security and privacy. However, traditional text-based CAPTCHAs are not suitable for sighted users much less users with visual impairments. To address the issue, this paper proposes a new mechanism for CAPTCHA called HearAct, which is a real-time audio-based CAPTCHA that enables easy access for users with visual impairments. The user listens to the sound of something (the “sound-maker”), and he/she must identify what the sound-maker is. After that, HearAct identifies a word and requires the user to analyze a word and determine whether it has the stated letter or not. If the word has the letter, the user must tap and if not, they swipe. This paper presents our HearAct pilot study conducted with thirteen blind users. The preliminary user study results suggest the new form of CAPTCHA has a lot of potential for both blind and visual users. The results also show that the HearAct CAPTCHA can be solved in a shorter time than the text-based CAPTCHAs because HearAct allows users to solve the CAPTCHA using gestures instead of typing. Thus, participants preferred HearAct over audio-based CAPTCHAs. The results of the study also show that the success rate of solving the HearAct CAPTCHA is 82.05% and 43.58% for audio CAPTCHA. A significant usability differences between the System Usability score for HearAct CAPTCHA method was 88.07 compared to audio CAPTCHA was 52.11%. Using gestures to solve the CAPTCHA challenge is the most preferable feature in the HearAct solution. To increase the security of HearAct, it is necessary to increase the number of sounds in the CAPTCHA. There is also a need to improve the CAPTCHA solution to cover wide range of users by adding corresponding image with each sound to meet deaf users’ needs; they then need to identify the spelling of the sound maker’s word.
Macdonald-Kelce Library Homepage: Cybersecurity: Cybersecurity at UT

Resources to assist with the successful completion of a Cybersecurity degree at UT This guide will help you with your studies as an undergraduate or graduate in cybersecurity.
Secondary education students digital scenario and learning strategies use

The aim of this study is to identify and describe the influence of digital scenarios and sociodemographic variables on the learning strategies used by 78 secondary school students. A quantitative study was conducted, to find out how digital technologies are influencing learners inside and outside of the classroom, but also in other digital scenarios as the use of technologies is becoming increasingly intensive in everyday lives. Participants completed two Likert-scale questionnaires in which they provided information about their learning strategy and digital technology use in academic, work and free-time digital scenarios. The results show that there are significant differences between acquisition, codification, recovery and aid to processing learning strategy use, in addition to showing differences between the age and sex of participants.
A High Efficiency Reconciliation Method for Free-space Continuous-Variable QKD

We propose a high efficiency reconciliation method for continuous-variable quantum key distribution over free-space channel, which achieves stable reconciliation efficiency of more than 95% under the fluctuation of the SNR (as low as -16 dB).
Low-scale new physics in dark sectors

In this thesis we investigate two particular examples of phenomena that require introducing new physics beyond the standard model, namely the baryon asymmetry of the universe and dark matter. As the corresponding newly introduced fields or particles have eluded detection so far, they are usually associated with so-called dark sectors. Our focus throughout this work is on low-scale realizations of mechanisms explaining these phenomena, with low scale either referring to a comparison to the standard scenarios of the mechanisms, or the mass scales of the fields or particles involved. One well-established mechanism to explain the baryon asymmetry of the universe is leptogenesis. We study the possibility to realize low-scale leptogenesis in both the scotogenic and the singlet scalar assisted model by employing analytical and semi-analytical methods, with a focus on understanding the important ingredients. Our parameter scans show that we are able to recreate the baryon asymmetry in the universe via leptogenesis for right-handed neutrino masses of as low as $\sim \! 10 \TeV$ in the scotogenic model, while for singlet scalar assisted leptogenesis we can even reach scales below $1 \TeV$. Importantly, both of these results are achieved without a strong degeneracy of right-handed neutrino masses. In our study of dark matter, we first analyze and compare the LHC signatures of two benchmark models given by the two Higgs doublet model with an additional scalar or pseudoscalar. To do so, we study their $t \bar{t}$, mono-$Z$ and mono-$h$ signatures and derive limits from current experimental searches at the LHC. Furthermore, we also look at the reach of the mono-$Z$ channel for future LHC upgrades and comment on the possibility to distinguish between the two models in case of a signal detection. Finally, we analyze a possibility to explain dark matter without using the standard particle dark matter picture via (pseudo)scalar and vector dark matter from non-minimal curvature couplings. With the misalignment and stochastic scenario, we investigate two different options how the dark matter could be created during the period of inflation. In the misalignment scenario we find that the parameter space substantially opens up due to the non-minimal coupling, whereas in the stochastic scenario any non-minimal coupling is tightly constrained for the mechanism to work while not violating isocurvature constraints. We conclude this thesis with a recapitulation of our main results and an outlook to further research.
Application of statistical analysis method in scale validity test

Abstract In order to facilitate research and improve application efficiency, scales based on various functions were designed and developed. However, in the process of using the scale, people often ignore the validity of the scale for a specific purpose, resulting in the loss of significance of subsequent studies. This paper briefly introduces the application of correlation analysis and factor analysis in scale validity test, which is enlightening to improve people’s understanding of statistical analysis methods.
LibGuides: Zoom: Security Settings

This guide shows you how to use Zoom, with a focus on Zoom for classroom use by instructors.
Research and Implementation of Satellite Image Target Recognition Based on Deep Learning

Space remote sensing technology is one of the most important means to acquire ground information at present. In recent years, due to the progress of remote sensing satellite level, the secondary development technology of image recognition, target classification, information extraction and surveillance for ships on the sea has become the focus of research. the convolution neural network algorithm is used to construct of the ship satellite image target recognition network. The convolution neural network model is built by synthesizing the parameter characteristics of the data set. The standard data set and encapsulated ship satellite image target data set are used for training and testing. According to the test results, the convolution neural network has a good ability to recognize ship satellite image target, which proves that the convolution neural network structure is feasible and has a good research and application value.
Bounding capacities of quantum internet protocols

A quantum internet holds promise for achieving communication tasks that seem to be intractable by the current internet. The required functionality of a physical layer for such a quantum internet is to distribute entanglement efficiently to clients over a quantum network. A fundamental building block to design such efficient distribution of entanglement is to bound capacities of such quantum internet protocols. In this talk, we present a set of efficient linear programs to bound quantum/private capacities of quantum internet protocols, as well as their analytic upper/lower bounds. Our linear program is applied to bipartite cases, multi-pair cases, and a multi-partite case, covering almost all known situations.
LibGuides: First Year Experience: Additional Information for FYE Instructors

This LibGuide was created to provide information on library resources for first-year students and their instructors.
Subject Guides: Technical and Professional Communication: Welcome

This guide is intended to help you find research in technical and professional communication by highlighting relevant databases and journals.
A non-PCP Approach to Succinct Quantum-Safe Zero-Knowledge.

Today’s most compact zero-knowledge arguments are based on the hardness of the discrete logarithm problem and related classical assumptions. If one is interested in quantum-safe solutions, then all of the known techniques stem from the PCP-based framework of Kilian (STOC 92) which can be instantiated based on the hardness of any collision-resistant hash function. Both approaches produce asymptotically logarithmic sized arguments but, by exploiting extra algebraic structure, the discrete logarithm arguments are a few orders of magnitude more compact in practice than the generic constructions.
SMART WALKING STICK FOR THE BLIND WITH TEXT IMAGE RECOGNITION

Reduced privacy, mobility and productivity are some of the major concerns for the visually impaired. Currently, most of the widely available assistive technologies for the blind have limited functionality and can be ineffective for everyday use. In this paper, the design of an electronic-based walking stick for the blind with image recognition capability is discussed. The device uses echolocation to guide the user in order to avoid collision with obstacles. It uses a Raspberry webcam to acquire the image of the surroundings. These acquired images are digitally processed in real-time using a combination of basic morphological operations. Text image detection and recognition is performed using the EAST convolutional neural network (CNN) model and the Tesseract OCR model respectively [9, 10]. Finally, a text-to-speech operation is performed on the detected characters and read out to the user through an interface.
Widely Reused and Shared, Infrequently Updated, and Sometimes Inherited: A Holistic View of PIN Authentication in Digital Lives and Beyond

Personal Identification Numbers (PINs) are widely used as an access control mechanism for digital assets (e.g., smartphones), financial assets (e.g., ATM cards), and physical assets (e.g., locks for garage doors or homes). Using semi-structured interviews (n=35), participants reported on PIN usage for different types of assets, including how users choose, share, inherit, and reuse PINs, as well as behaviour following the compromise of a PIN. We find that memorability is the most important criterion when choosing a PIN, more so than security or concerns of reuse. Updating or changing a PIN is very uncommon, even when a PIN is compromised. Participants reported sharing PINs for one type of asset with acquaintances but inadvertently reused them for other assets, thereby subjecting themselves to potential risks. Participants also reported using PINs originally set by previous homeowners for physical devices (e.g., alarm or keypad door entry systems). While aware of the risks of not updating PINs, this did not always deter participants from using inherited PINs, as they were often missing instructions on how to update them. %While aware of the risks of not updating PINs, participants continued using these PINs, as they were often missing instructions on how to update them.Given the expected increase in PIN-protected assets (e.g., loyalty cards, smart locks, and web apps), we provide suggestions and future research directions to better support users with multiple digital and non-digital assets and more secure human-device interaction when utilizing PINs.
Operationalising a framework for organisational vulnerability to intentional insider threat: the OVIT as a valid and reliable diagnostic tool

There are several models and frameworks that assist in understanding insider threat. However, practical limitations in operationalising these models include them being overly complex, too subjective, cumbersome, or lacking dimensionality. In response, this study looks to operationalise a practice-based framework for determining organisational vulnerability to intentional insider threat. The study reports on an Exploratory Factor Analysis (EFA) to determine the validity and reliability of the Organisational Vulnerability to Intentional Insider Threat (OVIT) diagnostic tool. The EFA results (construct validity and reliability statistics) show promise for the use of the OVIT in operationalising intentional insider threat detection. Limitations of the study are presented and future research progressing this exploratory study are encouraged.
Improved Face Recognition based on Hidden Markov Model

In this paper, a new face recognition technique based on Hidden Markov Model (HMM), Pre-processing, and featureextraction (K-means and the Sobel operator) is proposed. Two main contributions are presented; the first contribution in the pre-processing were image’s edges are normalized to enhance the HMM models to be non- sensitive to different edges. The second contribution is a new technique to extract the image's features by splitting the image into non-uniform height depending on the distribution of the foreground pixels. The foreground pixels are extracting by using the vertical sliding windows. The proposed technique is faster with a higher accuracy with respect to other techniques which are investigated for comparison. Moreover, it shows the capability of recognizing the normal face (center part) as well as face boundary
Research Guides: Rowan Library Workshops: Spring 2022: Rowan Library Workshops

Rowan University Libraries offers workshops that are free and open to students, staff, faculty. and the public.
PEMBELAJARAN MENULIS TEKS BIOGRAFI PADA SISWA SMK KELAS X DENGAN MENGGUNAKAN MODEL THINK TALK WRITE (TTW) BERBANTUAN MEDIA POWTOON

Writing is an activity expressing the thoughts, ideas, and feelings of a person as outlined in written language. This research is motivated by the lack of student interest in writing because students find it difficult to put ideas and ideas into written form. The purpose of this study is to examine the scenario and implementation of learning to write biographical texts in Class X vocational students using the Think Talk Write (TTW) model assisted by Powtoon media, examine the responses of teachers and class X vocational students to learning to write biographical text using the Think Talk Write model (TTW) is assisted by Powtoon media and examines the difficulties experienced by students of Class X vocational Schools in completing assignments to write biographical texts. The method used in this research is descriptive qualitative method by describing the facts in the field. The subjects of this study were SMK students of class X-BDP 1 with a total of 30 students. The learning process lasts for two meetings. The results showed that the results of student implementation were 94.3% and the results of teacher implementation were 98.3%. The response of students getting a percentage of 58.3% was categorized very high and the response results of teachers getting a percentage of 57% were categorized high. In working on biographical text writing problems the difficulties experienced by students in the aspects of using Indonesian Spelling (EBI) and aspects of writing.
Website analysis of desidoc journal of library & information technology (djlit) and annals of library and information studies (alis): A comparative study through sitebeam

The present study is a comparison of the websites of DESIDOC Journal of Library & Information Technology (DJLIT) and Annals of Library and Information studies (ALIS). Sitebeam is used for evaluating these websites. The maximum score of each test is 10. So the total score of each website is 120. The data has been extracted on 11th February, 2019. In the Spelling test both the websites have scored ‘0’ and Domain age test both scored ‘10’. The total score of ALIS is higher than DJLIT i.e. 76.6 and 71.5 respectively.
Short Communication on Differential Equations

Differential equations are the equations in mathematics which incorporates many fancy math type symbols, it basically states that how a rate of change in one variable is expounded to the opposite variable. It plays a vital role in biology, physics, economics, engineering etc. Differential equations arise in several areas of science and technology, specifically whenever a settled relation involving some endlessly variable quantities (modeled by functions) and their rates of modification. It assumes an enormous job in science, material science, financial matters, building so forth. Differential conditions emerge in an exceedingly few regions of science and innovation, explicitly at whatever point a settled connection including some perpetually factor amounts (displayed by capacities). allow us to quickly check the foremost basic classification. We already saw the excellence between ordinary