Reviewerly/exHarmony huggingface dataset:
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study

Deep learning-based systems have been shown to be vulnerable to adversarial attacks in both digital and physical domains. While feasible, digital attacks have limited applicability in attacking deployed systems, including face recognition systems, where an adversary typically has access to the input and not the transmission channel. In such setting, physical attacks that directly provide a malicious input through the input channel pose a bigger threat. We investigate the feasibility of conducting real-time physical attacks on face recognition systems using adversarial light projections. A setup comprising a commercially available web camera and a projector is used to conduct the attack. The adversary uses a transformation-invariant adversarial pattern generation method to generate a digital adversarial pattern using one or more images of the target available to the adversary. The digital adversarial pattern is then projected onto the adversary's face in the physical domain to either impersonate a target (impersonation) or evade recognition (obfuscation). We conduct preliminary experiments using two open-source and one commercial face recognition system on a pool of 50 subjects. Our experimental results demonstrate the vulnerability of face recognition systems to light projection attacks in both white-box and black-box attack settings.
SOFTWARE BITSLICED IMPLEMENTATION OF KALYNA CIPHER IS ORIENTED TO USE SIMD INSTRUCTIONS FOR MICROPROCESSORS WITH X86-64 ARCHITECTURE

The article is devoted to software bitsliced implementation of the Kalyna cipher using vector instructions SSE, AVX, AVX-512 for x86-64 processors. The advantages and disadvantages of different approaches to efficient and secure block cipher software implementation are shown. It is noted that bitslicing technology combines high speed and resistance to time and cache attacks, but its application to the Kalyna cipher is not available at the moment. The basic approaches to data representation and bitsliced encryption operations are considered, special attention is paid to the effective implementation of SubBytes operation, which largely determines the final performance. Existing methods for minimizing logical functions have been shown to either fail to produce the result in bitsliced format in the case of 8-bit non-algebraic SBoxs, or far from optimal. A heuristic algorithm for minimizing logic functions describing Kalyna SBoxes using the operations of AND, OR, XOR, NOT available in the instruction set of low- and high-end processors is proposed. The results show that a bitsliced description of one SBox requires about 520 gates, which is significantly less than other methods. Possible ways to increase performance by regrouping data into bitsliced variables before and after the SubBytes operation are indicated, which results in more efficient use of vector registers. The bitsliced implementations of Kalyna cipher were measured using C++ compilers from Microsoft and GCC for the Intel Xeon Skylake-SP processor. The results of the bitsliced Kalyna implementation can also be transferred to processors that do not support SIMD instructions, including low-end, to increase resistance to attacks through third-party channels. They also enable switching to ASIC or FPGA-based bitsliced implementation of Kalyna.
Placement Algorithm in Virtual Machine Scheduling Based on Cloud Computing

Abstract This paper mainly proposes a virtual machine placement algorithm, which uses the principle of graph segmentation. This algorithm can reduce the energy consumption of cloud services, Experimental simulation shows that compared with MBFD and TAVMP algorithm, this algorithm has a significant improvement in cup utilization, device energy consumption and SLA violation rate.
LibGuides: Remote Learning Updates: Online Library Instruction

Classes at Pratt are moving online. The Libraries have prepared remote learning updates & resources below.
DEVELOPING AN INTELLECTUAL ASSISTANT FOR THE UNIVERSITY OF TYUMEN

Introduction: The present paper seeks to justify the didactic model of an intellectual assistant in the educational process. The intellectual assistant is seen as a cognitive robot based on a special chatbot software serving to imitate human interaction. In the academic setting, the aim of such an assistant is to represent a human teacher in the network performing all the necessary consulting, assessing, supervisory etc. functions at a time and pace suitable for each individual student. Materials and methods: The study utilizes the following methods: theoretical data analysis in the fields of digital pedagogy, dialog systems, and cognitive robot modeling. The authors present a description of the prototype of an intellectual assistant within the course of “Lexical Semantics” for undergraduate students majoring in English Linguistics (University of Tyumen). Testing of the model was carried out in September-November, 2019. Results: The model of an intellectual assistant enables effective human-machine interaction based on inferential and interactional principles of communication. Employing the cognitive robot prototype we conducted eight classes in “Lexical Semantics”. The students were actively participating in the communication in the computer-equipped classroom. The authors monitored the process and at the end of each class the robot generated reports on the activity of each student. The students in their turn provided mostly positive feedback. Discussion and Conclusion: Digital technologies are gradually introduced in the curricula of University of Tyumen in the format of MOOCs, augmented-reality course-books, etc. Analysis of the existing dialog software in commercial applications proves that their introduction into Russia’s higher education is possible. The self-learning intellectual assistants will soon become another reality in Russia’s higher education. There is no doubt about their functionality. They will possess cognitive, emotional, and other types of intelligence, thus, becoming successful digital representations of human teachers. However, it is important to understand that a cognitive robot is just an intellectual tool for learning enhancement.
DEVELOPING INTERCULTURAL COMMUNICATION SKILLS USING MEDIA TOOLS

E. Komleva, E. Gorshkova, I. Turetskova, M. Belmesova, A. KoblovaOrenburg State Pedagogical University (RUSSIAN FEDERATION)
Streamlined Empirical Bayes Fitting of Linear Mixed Models in Mobile Health

To effect behavior change a successful algorithm must make high-quality decisions in real-time. For example, a mobile health (mHealth) application designed to increase physical activity must make contextually relevant suggestions to motivate users. While machine learning offers solutions for certain stylized settings, such as when batch data can be processed offline, there is a dearth of approaches which can deliver high-quality solutions under the specific constraints of mHealth. We propose an algorithm which provides users with contextualized and personalized physical activity suggestions. This algorithm is able to overcome a challenge critical to mHealth that complex models be trained efficiently. We propose a tractable streamlined empirical Bayes procedure which fits linear mixed effects models in large-data settings. Our procedure takes advantage of sparsity introduced by hierarchical random effects to efficiently learn the posterior distribution of a linear mixed effects model. A key contribution of this work is that we provide explicit updates in order to learn both fixed effects, random effects and hyper-parameter values. We demonstrate the success of this approach in a mobile health (mHealth) reinforcement learning application, a domain in which fast computations are crucial for real time interventions. Not only is our approach computationally efficient, it is also easily implemented with closed form matrix algebraic updates and we show improvements over state of the art approaches both in speed and accuracy of up to 99% and 56% respectively.
TOWARD STEAM - ORIENTED CLASS DEVELOPMENT USING ENGINEERING DESIGN IN JAPANESE HIGH SCHOOLS

Recently, STEM (Science, Technology, Engineering, and Mathematics) education appears to be growing in importance. “STEM could mean increasing the recognition of engineering in K-12 education. Engineering is directly involved in problem solving and innovation, two themes with high priorities on every nation’s agenda” (Bybee, 2010). Nowadays, adding “A” to STEM, STEM has increased the use of STEAM (Science, Technology, Engineering, Arts, and Mathematics). Yakman (2006) indicates that “Arts” contain Physical, Fine, Manual, Language & Liberal Arts, Citizenship, STS. STEAM might help to transfer enthusiasm and support individual self-efficacy from art to STEM and in this way to close a creativity gap (Runco 2017). Creativity cannot only help with problem solving, but also with identifying problems where others have failed to do so (Robinson & Azzam, 2009). So, STEAM can improve creativity. On the other hand, “The NGSS (2013) represent a commitment to integrate engineering design into the structure of science education by raising engineering design to the same level as scientific inquiry when teaching science disciplines at all levels.” In the light of the above, when we design a STEAM-oriented class, we must pay attention to include engineering to help students getting various abilities. Then, in Japan, the subject that is called “Inquiry-Based Study of Science and Mathematics” is newly established. It's said to be in the same direction as STEAM education. However, the preparation for the class of Inquiry-Based Study of Science and Mathematics is not carried out in most schools. In addition, engineering is not well known in Japan. So, the purpose of our study, we design classes that include engineering. In this study, we design the instructional model that include Engineering Design, and survey awareness of STEAM field’s subject. Especially, we focus to reveal relationship between E and other STEAM field’s subjects with using a questionnaire (n=92). In Japan, Engineering education is not popular. Nevertheless, this questionnaire reveals that there is no difference in students’ consciousness between Engineering and other subjects. In addition, Engineering got high score than any other subjects in some items. So, Engineering is needed by not only society but students who have not learned Engineering in school. It says that it’s necessary to develop and conduct classes including Engineering. Other hand, this questionnaire reveals that Arts are not considered as important as other subjects. Now, “Arts” are now treated as secondary subjects. Thus, students are less likely to regard as more important than other subjects and less likely to use “Arts”. We need to support to motivate “Arts” for students and to use “Arts”.
SMART CAMPUS SECURITY SYSTEM FOR HIGHER EDUCATION INSTITUTES USING IOT DEVICES

Traditional campus security systems include access control systems, video surveillance cameras and more. However, these devices are often isolated from one another. For that, to contact each other it is better to use a modern communication envisaged soon, where everyday life objects will be equipped with microprocessors, digital communication transmitters and receivers, and appropriate protocol sets that will enable them to communicate with each other and with users. According to ISOC, refers to the Internet of Things system in which the network connection and the possibility of computing devices, sensors, operating triggers and daily items that are not usually computers, allowing these devices to create, exchange and consumption data with minimal human intervention. Internet systems allow users to access massive computerization, analysis and consumption within the system. IoT uses current and emerging technology for sensors, networks and robots. With the majority of colleges in modern environments today, the concept of a smart campus has become urgent. This shift is seen in the upgrading of faculties with the use of the latest IT technologies. The purpose of this project is to study perceptions in the deployment of Internet-based objects on the campus security system. At the highest level, the campus connects smart devices, applications and individuals across a common technology infrastructure. When everything is connected, devices and applications can interact with users and with each other. So it is to create a platform that connects all security devices together. This increases safety and responsiveness. That make the campus safer and more secure for everyone living, working and learning there. The overall goal of the campus security project is to make the campus a faster response to security by utilizing the capabilities of smart objects platforms through the Internet with minimal human effort.
Snap ML - Accelerated Machine Learning for Big Data (Keynote Abstract)

Snap Machine Learning (Snap ML) is a new software library for training popular machine learning models, characterized by very high performance, scalability to TB-scale datasets and high resource efficiency. It continuously evolves and currently supports generalized linear models, decision trees, random forests and gradient boosting machines. Snap ML has been built to address the needs of business applications, which often have to deal with high-volume data, react fast to changing environments, and use resources efficiently to drive down cost. The high efficiency of Snap ML, in particular in dealing with big data, comes from innovations in distributed optimization, among other things. This talk will review the principles of the Snap ML library, explain how it achieves high speed and scalability, and present several cases of business workloads that demonstrate the benefits offered by Snap ML.Haris Pozidis manages the Cloud Storage and Analytics group at IBM Research in Zurich, Switzerland. He was with Philips Research, Eindhoven, The Netherlands, before joining IBM. He has worked on read channel design for DVD and Blu-ray Disc at Philips, and played a key role in developing the first scanning probe-based data storage system at IBM, the “Millipede”. His current focus is on the development of Flash memory controllers for all-flash arrays, on phase change memory technology and system solutions, and on accelerated software libraries for machine learning. He holds over 120 US patents, has co-authored more than 120 publications, is an IBM Principal Research Scientist and Master Inventor, and a Senior Member of the IEEE.
DESIGN OF A DIGITAL TRAINING SYSTEM FOR SPEAKING PRACTICE THROUGH TASK-BASED APPROACH ACTIVITIES

M. Noguera, M.F. Ibadango, S. Quishpe, L. Guerra-TorrealbaPontificia Universidad Católica del Ecuador Sede Ibarra (ECUADOR)
Speaker Identification using Normalized Features in Emotional Environment

This paper proposes a speaker identification method using normalized features that is robust to the speaker’s emotional changes. In general, the voice speaker identification method is based on the assumption that the voice does not contain emotions such as happiness, anger, sadness, and fear. However, acoustic features related to personality such as accents and intonations change with emotional changes, making it difficult for individual differences in speech to appear. Therefore, this paper proposes a speaker identification method that is robust to various emotional changes. In the proposed method, the differences between the acoustic features of emotional speech and neutral speech are learned in advance, and the normalized features compensating for the emotional changes in the input speech are calculated. We evaluated the performance of speaker identification accuracy for five types of emotional speeches. As a result, speaker identification accuracy was improved by approximately 10% compared with the previous method under the assumption that the emotion to the input speech was known, and the effectiveness of the proposed method was confirmed.
Impact of Aliteracy on Learning English as A Second Language in Nigeria

This paper examines the impact of aliteracy on learning English as a second language in Nigeria. Genuine concern expressed by stakeholders on the poor performance exhibited by Nigerian secondary school students in English language has led to a number of inquiries for solutions to the problem. Many studies have attributed poor language performance to a number of factors but nobody has connected the apathetic stance of students towards reading to poor language performance. Their appalling performance manifests in the plethora of spelling and grammatical errors that riddle essay assignments. Writing is a productive language skill by which a student demonstrates his ability to produce grammatically correct and connected texts. This study searches for the link between students’ lack of interest in reading and their writing competence. Aliteracy is the state of being able to read but being uninterested in doing so. The data for the study were generated from students’ written essay and questionnaire. An analysis of the students’ reading habits juxtaposed with their continuous writing showed that students who were avid readers performed better than those who did not like to read. This result shows that the decline in the level and quality of language written by senior secondary school students in Nigeria can be attributed to poor reading culture.
Investigation of Queuing Model Based Cloud Computing Application’s Performance with Matlab Software

Cloud computing was the technology developed to store the data and support the users with the access to the data stored by charging a minimal amount for the storage of data and for providing necessary steps for storing the data and for providing security to the data that was stored.The content stored in various servers at various locations based on the type and size of the content.The content can be accessed to the users with valid registrations and a set of security verifications entered by the customers.The problems at hand give rise to the task of evaluating the performance of data center with various queuing models to understand the distribution of the performance parameters with arrival and service rates, traffic intensity, number of servers and the associated probabilities.The major contribution in the current article is to provide a mathematical model with cloud-based network.In order to analyze the performance of the currently considered, the steady-state behaviour of the current model designed and developed by using the MATLAB® environment.The models considered for evaluation for single servers include M/M/c and M/M/1 under the flow of FIFO and FCFS.The results observed from the model are encouraging and the results are displayed in the results section.
LibGuides: Alcorn Digital Learning Lab: Home

Welcome to the website for the Alcorn Digital Learning Lab housed in the Corriher Linn Black Library at Catawba College.
The Role of Team Trust and Team Conflict on Innovative Performance of Multicultural Teams in the Restaurant

This research investigated the contribution of team trust to team conflict and team innovation in the restaurant business. In particular, this research extended prior research by exploring the influence of team trust in the area of cross-cultural teams. Moreover, this research advanced prior research by examining the moderating effect of team task interdependence that might possibly influence the impact of team conflict on team innovation. Survey data were collected from 103 restaurant multicultural teams in the five most visited tourist cities in Thailand, namely Bangkok, Chiangmai, Pattaya, Krabi, and Phuket. Data were collected from multiple sources to prevent common method bias. Partial least squares structural equation modeling was used for data analysis. The results indicated that the teams with a high level of team trust tended to exhibit a lower degree of conflict (β=-0.543; p<.001) and achieved a higher degree of team innovation than the teams with a low level of team trust (β=0.274; p<.001). The results also showed that team conflict mediated the relationship between team trust and team innovation. Moreover, team-task interdependence moderated the negative relationship between team conflict and team innovation (β=0.211; p=.003).
A Simple Phase Retrieval Algorithm from a Single Shot Interferogram

Traditional phase-shifting interferometry technique cannot be used to measure time-varying phase distributions. But single shot techniques could resolve the problem. Many efforts have been made on the phase retrieval methods from a single shot interferogram. In the paper, a simple and effective method is presented without complex computation. The interference fringe is transferred to a phase distribution with a look-up-table. And then it is divided into different regions according to the parity of every pixel. The pixels in the same region have the same parity, which determines the wrapped phase. Additionally, the light spot displacement of a local wavefront is obtained to solve the global sign ambiguity. The theoretical simulation results indicate that the PV of wavefront error is 0.00054(lambda) and the rms is 0.000125(lambda), which is much better than the results from the Fast Fourier Transformation method. We also use it in the experimentally measured interferogram. Our algorithm has the advantages of simplicity, high precision and effective for both open and closed interferometer fringes, which will be valuable for real time monitoring the optical elements shape during their processing.
Ways of improving teachers’ professional competencies in the field of training schoolchildren in project and research activity

The article reflects the current trends in education associated with the active development of project and research activities in a modern high school and the importance of identifying the most effective ways to improve the general professional and professional competencies of teachers in this direction. The newness of the study is in the disclosure of an approved system for improving the professional qualifications of teachers in the field of modeling project and research activities of schoolchildren. The theoretical significance of the study is in the description of the main elements of the teacher’s competence development modules on the basis of a theoretical analysis of educational design and the creation of an idea about the expertise of a research project as a form of assessing the level of forming the students’ universal educational actions. The practical significance of the article lies in the fact that the provisions of the study, reflecting the specifics of the development and support of children’s giftedness by the pedagogical community, can be widely used in the process of preparing and implementing programs of interaction between high schools and universities.
Non-linearity of the Carlet-Feng function, and repartition of Gauss sums

The search for Boolean functions that can withstand the main crypyographic attacks is essential. In 2008, Carlet and Feng studied a class of functions which have optimal cryptographic properties with the exception of nonlinearity for which they give a good but not optimal bound. Carlet and some people who have also worked on this problem of nonlinearity have asked for a new answer to this problem. We provide a new solution to improve the evaluation of the nonlinearity of the Carlet-Feng function, by means of the estimation of the distribution of Gauss sums. This work is in progress and we give some suggestions to improve this work.
REAL ARCHITECTURE FOR DESCRIPTIVE GEOMETRY TEACHING

P. Natividad Vivó, M. Salcedo Galera, R. García Baño, M.J. Silvente Martínez, J. Calvo LópezUniversidad Politécnica de Cartagena (SPAIN)
TWO DECADES OF ONLINE TEACHING: A REVIEW OF LITERATURE OF THE ONLINE LEARNING MOVEMENT AND THE IMPACT OF ECONOMIC, EDUCATIONAL, AND SOCIAL MEDIA INFLUENCES

Information about the paper titled "TWO DECADES OF ONLINE TEACHING: A REVIEW OF LITERATURE OF THE ONLINE LEARNING MOVEMENT AND THE IMPACT OF ECONOMIC, EDUCATIONAL, AND SOCIAL MEDIA INFLUENCES" at IATED Digital Library