Reviewerly/exHarmony huggingface dataset:
AES Based on Key Dependently Nonlinear Redundant S-Box

The AES S-Box is the only part of the standard responsible for providing the nonlinearity needed to deal with the linear and differential attacks. This fact emphasizes the necessity for the AES S-Box to possess high nonlinearity and low differential uniformity. However, it was proved that all the component Boolean functions of the AES S-Box, which is constructed by the finite field inversion, are linearly redundant. In this paper, the authors proposed a new version of AES based on nonlinear redundant S-Box with good cryptographic properties. For that, the construction of an initial S-Box over the finite field is guided by a key dependently selected irreducible polynomial. After that, the linear redundancy is progressively reduced from the component Boolean functions of the initial S-Box thro ugh a new technique called 2-bits-tweak. Additionally, the authors analyzed the performance of their scheme.
Enabling Modular Design of an Application-Level Auto-Scaling and Orchestration Framework using TOSCA-based Application Description Templates

This paper presents a novel approach to writing TOSCA templates for application reusability and portability in a modular auto-scaling and orchestration framework (MiCADO). The approach defines cloud resources as well as application containers in a flexible and generic way, and allows for those definitions to be extended with specific properties related to a desired container orchestrator chosen at deployment time. The approach is demonstrated in a proof-of-concept where only a minor change was required to a previously used application template in order to achieve the successful deployment and lifecycle management of the popular web authoring tool Wordpress on a new realization of the MiCADO framework featuring a different container orchestrator.
The Para-Perspective Projection as an Approximation of the Perspective Projection for Recovering 3D Motion in Real Time

We present a new algorithm for determining 3D motion of a moving rigid object in real-time image sequences relative to a single camera. In the case where features are two-dimensional (2D), they are obtained by projective transformations of the 3D features on the object surface under perspective model. The perspective model has formulated in nonlinear least square problem to determine 3D motions as characterized by rotation and translation iteratively. In practice, it is numerically ill-conditioned and may converge slowly or even fail to converge, if it starts with not good enough initial guess. However, since para-perspective projection model closely approximates perspective projection for recovering the 3D motion and shape of the object in Euclidean space, we used the results provided from para-perspective projection model as an initial value of nonlinear optimization refinement under perspective model equations.
P4 A Comparative Study on Nutritional Knowledge, Dietary Habits and Attitude Between Korean and Chinese Postpartum Women

Objective: This research study was to determine the sensory perception and overall food preference of collegeaged students when comparing sorghum to rice in a ready-made dish.Study Design, Settings, Participants: A quasi-experimental study was conducted in a campus foodservice setting at the University of North Florida.The participants (n = 596) were randomly recruited, using convenience sampling, to blindly taste test two food samples then complete an associated sensory and perception survey.The food samples consisted of recipes identically prepared, with the substitution of sorghum for rice.Measurable Outcome/Analysis: Paper and electronic sensory analysis (using hybrid hedonic scales) and food preference surveys were available after sampling.Results: A majority of the participants (71.9%) were ages 18-20 years old, with 42.3% selecting their educational classification as a freshman.Participants rated their overall feeling about each dish as to how often they would consume it, the response yielded a significant difference in overall mean (3.66 vs. 3.42, P = .000),with preference given to rice over sorghum.In comparing the two grain based dishes, participants indicated they would eat this every now and then to every opportunity they had with rice (55.2%) to sorghum (48.4%).Yet in response to overall acceptance of sorghum to rice, there was no significant difference. Conclusion:This study provides feedback on the perception of college students on substituting a refined grain for whole grains in ready-made dishes.This preliminary study implies that acceptability for alternative grains is feasible in college-age populations and more research needs to be conducted on overall perception of alternative grains in ready-made dishes.
Applicability Study of Eye Movement Menu based on Analytic Hierarchy Process

Eye movement interaction is more natural and intelligent than traditional input by mouse and keyboard, and has a wide range of application scenarios. Menu, as an important user input and selection mechanism, designed and interacted with eye movement input modality can greatly improve user interaction efficiency. An eye movement menu usability evaluation index system based on analytic hierarchy process was proposed in this paper. In addition, combined with experiments and questionnaires, a quantitative and qualitative combination study on eye movement types (fisheye linear menu, marking menu) and eye movement selection mechanisms (time delay selection mechanism, select sub-selection reconfirmation mechanism) was conducted. The problems of easy fatigue and “Midas Touch” in eye movement interaction were also discussed in the paper. The conclusions reached at the end of this paper have a guiding role in the design and evaluation of the eye movement menu.
Directional Multifractal Analysis in the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M1"><mml:mrow><mml:msup><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math> Setting

The classical Hölder regularity is restricted to locally bounded functions and takes only positive values. The local <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M2"><mml:mrow><mml:msup><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math> regularity covers unbounded functions and negative values. Nevertheless, it has the same apparent regularity in all directions. In the present work, we study a recent notion of directional local <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M3"><mml:mrow><mml:msup><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math> regularity introduced by Jaffard. We provide its characterization by a supremum of a wide range oriented anisotropic Triebel wavelet coefficients and leaders. In addition, we deduce estimates on the Hausdorff dimension of the set of points where the directional local <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" id="M4"><mml:mrow><mml:msup><mml:mrow><mml:mi>L</mml:mi></mml:mrow><mml:mrow><mml:mi>p</mml:mi></mml:mrow></mml:msup></mml:mrow></mml:math> regularity does not exceed a given value. The obtained results are illustrated by some examples of self-affine cascade functions.
The Impact of Ethical Leadership and Work Environment on Work Performance in Healthcare Service

This study empirically examines the effects of ethical leadership and work environment on work performance in healthcare service. The proposed research model and associated hypotheses were tested using structural equations modeling. The findings of the study revealed how hospitals operate for ethical responsibility commitment through ethical leadership and work environment in care services. The study results present implications regarding the relationships among ethical leadership, work environments for ethical responsibility, and work performance. The results imply that ethical leadership motivates employees for better work performance through ethical work behaviors in work environments, and that ethics is an intangible asset that affects employees’ behaviors on ethical responsibility commitment and an organization’s competitiveness. The study also provides new insights to hospital administrators, institutions, and policy makers about that importance of establishing high ethical standards for employee commitment ethical behavior at service encounters.
Local Dimming Design for LCD Backlight

The local-dimming backlight has recently been presented for use in LCD TVs. However, the image resolution is low, particularly at weak edges. In this work, a local-dimming backlight is developed to improve the image contrast and reduce power dissipation. The algorithm enhances low-level edge information to improve the perceived image resolution. Based on the algorithm, a 42-in. backlight module with white LED (Light-Emitting Diode) devices was driven by a local dimming control core. The block-wise register approach substantially reduced the number of required line-buffers and shortened the latency time. The measurements made in the laboratory indicate that the backlight system reduces power dissipation by an average of 48 percents and exhibits no visible distortion compared relative to the fixed backlighting system. The system was successfully demonstrated in a 42-in. LCD TV, and the contrast ratio was greatly improved by a factor of 100.
The Improvement Plan for POLICE English Test Utilizing ESL Classroom Activity

The purpose of this study is to examine the appropriateness of the Korean police English test, to analyze the test types, to discuss the related...
Security is the Weakest Link

This talk aims to highlight the current culture of blaming the victims prevalent in the cybersecurity research community, present the current research initiatives in human-centric cybersecurity, and outline the potential future research areas.
Persuasive Design Strategy of Health Education in Interaction Design for the Elderly Adults

There are three points in the current situation and problems of health education for urban elderly in China. First, the health education service for the elderly adults is simple and with low technology. Second, the service object is narrow to the sick people. Third, because of the decline of the information contact ability, the elderly adults have some difficulties in learning health education information. To use persuasive strategies to improve the educational effect with the help of the new technology is a good choice for them. Therefore, this paper focuses on using the Persuasive Strategy Design(PSD) to promote elderly adults participation in health education. Research methods: The Likert five scale was used to investigate the seniors’ perception experience evaluation on the questionnaire of interactively persuasive strategies. The evaluation data was analyzed by Spass 20. The most important strategic factors were extracted by the factor analysis for the elderly adults to accept health education easily. Then these strategies were explained to help design a health education prototype to meet needs of the elderly adults.
Design of Differential Evolution Optimized PI Controller for a Temperature Process

Differential evolution is a new stochastic population-based optimization algorithm. It is an accurate, fast and robust optimization method. In this paper, a PI controller is used and differential evolution optimization technique is used to optimize the controller parameters. The robust controller parameters are obtained by solving the optimization problem, which consists of objective functions and constraints, using differential evolution method. Here differential evolution is implemented in tuning of a PI controller for a temperature process. The performance of the optimized PI controller is compared with that of the Zeigler-Nichols method and the simulation results show the improved performance of the optimized controller. Keywords : Evolutionary algorithm (EA), differential evolution (DE), PID controller tuning, Zeigler-Nichols (Z-N), initial steady state (ISS), temperature process, optimization
The Potential of Virtual Real World for Usability Test of Location-Aware Apps

Recently, many kinds of location-aware applications of smartphone are developed. However, it is difficult to test them for usability in the same way as the non-location-aware ones because of the test environment. For example, in case of supportive applications for emergency situations, the usability test can be carried out only in normal period of outdoor fields. Key competitive technologies beyond the issues will be Augment Reality and Virtual Reality. We focus on advantages of laboratory experiment and present a usability test environment of location-aware apps based on virtual real world using Google Street View. In this paper, we aim at understanding the weaknesses and strengths of this approach. We developed an initial prototype of the usability test environment and a simple map viewer app. The usability test has two conditions from a designated start point: (c1) go to a designated place and (c2) explore the area freely. We observed two participants’ behaviors: (b1) movement in the virtual real world, (b2) body motion, and (b3) operation of the map viewer app. From the results, we discuss the better ways to collect these data as well as the weakness and strengths of laboratory-based usability test environment. These outcomes spotlight laboratory survey’s strengths of fine grain spatiotemporal data.
Development of the tool to construct trend diagrams of shifted atomic ratios intended for chemical classification of metasomatic rocks

Summary Methodology is presented and diagrams as a tool were at first proposed to perform classification of metasomatites based on chemical characteristics. The publication contains the definitions of classification categories (object, subject and criteria) for metasomatic rocks. The technique of plotting is described and application examples of the diagrams are presented. Besides that, the requirements to initial data and limitations of usage for the proposed diagrams are pointed.
Haar Transforms for Graph Neural Networks

Graph Neural Networks (GNNs) have become a topic of intense research recently due to their powerful capability in high-dimensional classification and regression tasks for graph-structured data. However, as GNNs typically define the graph convolution by the orthonormal basis for the graph Laplacian, they suffer from high computational cost when the graph size is large. This paper introduces Haar basis which is a sparse and localized orthonormal system for a coarse-grained chain on graph. The graph convolution under Haar basis, called Haar convolution, can be defined accordingly for GNNs. The sparsity and locality of the Haar basis allow Fast Haar Transforms (FHTs) on graph, by which a fast evaluation of Haar convolution between graph data and filters can be achieved. We conduct experiments on GNNs equipped with Haar convolution, which demonstrates state-of-the-art results on graph-based regression and node classification tasks.
Korosten Pluton (Ukrainian Shield): initial data bank oriented on geochemical modelling

Summary Reliability of diverse practical and fundamental geological results depends on validation of initial data background, research techniques used, methodology and means of sampling, which differ by design according to the aim of research. Accumulated i16n various databases and databanks information on geological objects that was acquired from different sources using different analytical techniques often turns out to be haphazard or even contradictory, which greatly limits its utilization possibilities. This research aims to develop specialized database targeted on geochemical modelling for magmatic system of Precambrian Korosten Pluton (Ukrainian Shield). This publication focuses on results of implementation of databank development basic principles and following analytical quality control of final results: (1) sampling points for main rock types are provided with sufficient geological background; (2) representativeness of samples is granted by their sufficient weight an d multistage filtration by various research techniques (petrographic, mineralogical, XRF etc.); (3) analytical data were obtained simultaneously in single laboratory by single precision analytical technique; (4) high level of analytical quality control grants reliability of geological information.
Improving classification performance of support vector machines via guided custom kernel search

Support Vector Machines (SVMs) deliver state-of-the-art performance in real-world applications and are established as one of the standard tools for machine learning and data mining. A key problem of these methods is how to choose an optimal kernel function. The real-world applications have also emphasized the need to adapt the kernel to the characteristics of heterogeneous data in order to boost the classification accuracy. Therefore, our goal is to automatically search a task specific kernel function. We use reinforcement learning based search mechanisms to discover custom kernel functions and verify the effectiveness of our approach by conducting an empirical evaluation with the discovered kernel function on MNIST classification. Our experiments show that the discovered kernel function shows significantly better classification performance than well-known classic kernels. Our solution will be very effective for resource constrained systems with low memory footprint which rely on traditional machine learning algorithms like SVMs for classification tasks.
AI and its Ever Expanding Horizon

In the present paper, the distinctive nature of artificial intelligence (AI) and its revolutionizing impact have been presented. The replication of the phenomenon of human intelligence by AI in functional areas have been observed. Its importance as a central policy issue in different countries, and its growth in spending have been documented. Applications of AI in various business areas have been brought forward to appreciate its all pervasive impact on human and the society.
Creative evolutionary computation

tutorial Share on Creative evolutionary computation Authors: Antonios Liapis University of Malta University of MaltaView Profile , Georgios N. Yannakakis University of Malta University of MaltaView Profile Authors Info & Claims GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference CompanionJuly 2019 Pages 1156–1171https://doi.org/10.1145/3319619.3323371Published:13 July 2019Publication History 0citation36DownloadsMetricsTotal Citations0Total Downloads36Last 12 Months1Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Software to Support Layout and Data Collection for Machine-Learning-Based Real-World Sensors

There have been many studies of gesture recognition and posture estimation by combining real-world sensor and machine learning. In such situations, it is important to consider the sensor layout because the measurement result varies depending on the layout and the number of sensors as well as the motion to be measured. However, it takes time and effort to prototype devices multiple times in order to find a sensor layout that has high identification accuracy. Also, although it is necessary to acquire learning data for recognizing gestures, it takes time to get the data when the user changes the sensor layout. In this study, we developed software that can arrange real-world sensors. In this time, the software can handle distance-measuring sensors as real-world sensors. The user places these sensors freely in the software. The software measures the distance between the sensors and a mesh created from measurements of real-world deformation recorded by a Kinect. The classifier is generated using the time-series of distance data recorded by the software. In addition, we created a physical device that had the same sensor layout as the one designed with the software. We experimentally confirmed that the software could recognize the gestures on the physical device by using the generated classifier.
Assessing the Taxonomic Approach to Noun-Noun Compounds

To interpret a noun-noun compound such as “chocolate rabbit” people must find a relation to link the modifier and head noun of the compound (the first and second words). How do people find these relations? Several theorists have proposed a taxonomic approach to noun-noun compounding (e.g. Levi, 1978; Gagne & Shoben, 1997; Gagne, 2001). This approach suggests that there is a fixed, relatively small taxonomy of standard relations such as X uses Y and X made of Y, from which people select the most suitable relation when interpreting a noun-noun compound. With this approach to nominal compounds, the same standard relation will necessarily be used in a great many compounds, for example “chocolate rabbit” “glass table” and “computer network” all use the standard X made of Y relation. For these examples however, it is clear that relatively different specific relations are being used in interpreting the compounds. The taxonomic approach assumes that all these relations are fundamentally the same because they are all examples of the same standard relation.
Optimizing User Experience in Amusement Parks and Enhancing Their Active Role in Urban Spaces Through New Technology

This paper intends to review the main technological innovations applied to the world of theme parks, with the aim of identifying the strategies that can be planned to guarantee visitors an optimized experience. At the same time, it aims to understand how the new technology can help improving the integration between the fantasy space and the real, urban space. The introduction explains what the challenges for modern parks are and what people are expecting from them. Chapter 2 addresses the use of various kinds of technology within theme parks, in particular virtual and augmented reality, localization and RFID systems to effectively manage the routes of visitors, 3D and multimedia techniques to improve engagement. Before the conclusions, chapter 3 investigates the relationship between the theme park and the spatial context it is built in and how new technology can be used to optimize this relationship and empower people.
El estado es eterno mientras dura

The present paper provides a critical review of some of the formal definitions usually put forward for the change of the state operator BECOME. It was first developed by Dowty (1979) in the framework of interval semantics. In order to overcome the main difficulties that are often encountered when applying those definitions to a broader range of data, we propose to start the event calculus by defining an irreducible time operator STATE as a universal semantic primitive which ranges over all non-logical and language-dependent constants. As a result, BECOME can be redefined as its logical complement. This theoretical change of perspective sheds light on the causes of some semantic shifts detected in the behavior of Spanish achievement and accomplishment predicates. Moreover, we discuss a possible definition for a semantic or mental time, relating its properties with those of physical time and its theoretical models.