Reviewerly/exHarmony huggingface dataset:
Assessing Student Engagement in Localizing NASA's Eyes on the Earth Application in a HCI Course

Students tend to have difficulties in learning without applying what they have learned. Recent advances in computing science education methods have emphasized team-based and project-based learning to develop the students' problem-solving skills. This study provides insights from an experience report on project-based learning (PBL) conducted in the context of a collegiate course for Human-Computer Interaction (HCI). PBL models have been applied in HCI education contexts [1] with findings that suggest potential for increased levels of engagement, more creative design solutions, and potential for more rigorous user acceptance testing (UAT) as noted in [2] and [3]. The novelty in this particular case study is introducing students to iterative prototyping for an ongoing real-world project in an R&D center that is involved in localizing a platform for Arabic-speaking populations [4].
Dimension Manipulation Based 360 Degrees to Excavate Clusters in Star Coordinate

Star Coordinate (SC) is one of the visualization techniques that are used for visualizing high dimensional data. SC provides interactive features that can be manipulated to reveal clusters patterns for quick summary and decision. The interactive features offered are dimension arrangement and scaling. However, dimension arrangement feature will be highlighted only. This technique plots the dimension into based 360-degree environment. Unfortunately, finding the most appropriate dimension angle by novice users so that they are aware of the existing clusters is challenging. This paper proposed to assist novice users in manipulating interactive SC features to obtain better clusters visualization for user understanding. The proposed method involved five (5) phases; 1. Calculate the distance between individual attributes against a dependent attribute using Euclidean Distance (ED); 2. Calculate the correlation value between data attributes using Pearson (PR) correlation; 3. Sort the obtained correlation value in ascending order; 4. Reordered data attributes with the positive values to the right and negative values to the left according to the correlation value; 5. The resulting tables are applied to produce the SC based angle 360 degrees. Results achieved by comparing the performance of clusters appearance between dimensions angle in 360 degrees based correlation value and within an equal angle. As a conclusion, the proposed method aware the users of the existing cluster. Thus, assists them for further clusters exploration.
Gesture Recognition System using Optical Muscle Deformation Sensors

Due to the spread of VR(Virtual Reality)/AR(Augmented Reality) applications, gesture input method will be required. In this research, a gesture recognition system is suggested using the optical muscle deformation sensors. Our gesture recognition system adapts machine learning with 8 channel optical muscle deformation sensors on the forearm which doesn't disturb the movement of the hand.
Le iniziative italiane per la promozione della lingua e della cultura italiana all’estero

The present study tackles the initiatives via which Italy is promoting the Italian language and culture abroad. It is aimed at compiling these initiatives in one place; this is profoundly important in the linguistic history of Italian as addressed to people outside Italy and familiarising researchers with these initiatives. This study analyses 9 initiatives that directly contribute to promoting the Italian language and culture outside Italy. The final conclusion of the study is that the Italian government and people are keen on supporting these initiatives and publicising them among non-Italian communities in Italy as well as abroad, which brings about disseminating not only a language or a culture but a whole state system (language, culture, economics, politics, etc.).
An Enhanced Whale Optimization Algorithm with Simplex Method

This paper proposes an enhanced whale optimization algorithm with the simplex method named SMWOA algorithm. SMWOA make WOA faster, more robust, and avoid premature convergence. The simplex method (SM) iteratively optimizes the current worst step size, avoids the population search at the edge, and improves the convergence accuracy and speed of the algorithm. The SMWOA algorithm is compared with other well-known meta-heuristic algorithms on 5 benchmarks and 1 classical engineering design problem. The experimental results show that the SMWOA algorithm has better performance than other meta-heuristic optimization algorithms in low and high dimensions.
LibGuides: Ithaka S+R Faculty Survey: Actions

This guide presents data gathered from the 2018 Ithaka S+R Local Faculty Survey fielded by the A-State Library
Beyond Information Literacy: Rethinking Approaches to the College Public Speaking Curriculum

Purpose – The purpose of this chapter is to assess the avenues through which traditional notions of information literacy skills shape oral communication curriculum and to identify steps that can be taken to transform the experience of students in the public speaking classroom so that they are offered an opportunity to develop understandings of how they use information to learn.Approach – This chapter engages in an analysis of teaching materials and best practice scholarship used in the traditional college public speaking classroom. An informed learning perspective is applied to this corpus to identify the ways in which an information literacy skills approach is reflected in current practice.Findings – The analysis highlights the prevalence of an information literacy skills approach throughout the oral communication curriculum. Textbooks, assignment types and guidelines, along with grading rubrics and instructor feedback all perpetuate a skills approach. Outside class support, including peer tutors and library instruction, also contribute to a focus on information literacy over informed learning.Implications – Informed learners are better prepared to engage and apply information across contexts and to use information to continue learning. Informed learners are reflective on the knowledge they gain through information use. Therefore, this chapter concludes that public speaking courses, along with the communication centers and libraries that support oral communication instruction, should embrace an informed learning approach to the development of course materials, assignments, and teaching.Originality/value – Suggestions for reframing public speaking curriculum and support from the informed learning perspective are provided.
Video Quality Temporal Pooling using a Visibility Measure

Both mobile and egocentric videos contain much larger motion than broadcast videos. To estimate the quality of videos with huge motion, the temporal pooling strategy should be adaptive to the specific content. Existing methods focus more on the values and variations of frame quality scores and ignore the masking effect of motion. In this paper, a temporal pooling strategy using a visibility measure is proposed to estimate the quality of videos containing large motion, where the imperceivable details during motion are not considered. We then introduce a strategy to measure the influence of measured visibility on pooling and design a subjective test to gather data for the strategy by synthetically creating shaky videos. Our pooling method is demonstrated to be more effective than existing strategies at pooling frame scores estimated by different image quality metrics.
Immersive Virtual System for the Operation of Tourist Circuits

This article presents the results of the development of an immersive VR application that serves as a virtual guide to the tourist within the circuits programmed in a visit design. It presents the structure of programming and 3D digitization process through which virtual scenarios were built through the APP allow to enjoy the immersive experiences within the tours programmed by the user according to the attractions, services and facilities of the destination; allowing to select the type of tourism, choose the site you want to visit and the time you have to make the visit, showing the location within the destination and projecting the circuit that may travel with the points where the tourist avatar will make, generating an interactive experience to tourists in scenarios and virtual tours marketed as new products making the destination more competitive and categorizing them as spaces with facilities for the development of e-tourism.
Experimental study for Gurmukhi Handwritten Character Recognition

The handwritten character recognition of Punjabi Lipi is to define the character of Punjabi via different algorithm. The 35 akhra we have 3 vowels and 32 consonant, we recognize the character of all consonant and vowels via handwritten dataset of Punjabi written by 100 or more different writers [2]. There are inexhaustible writing on the handwritten acknowledgement on Indian contents, yet there are not many concern dataset related to Gurmukhi lipi in India[1]. The data is to be defined as images and get the accuracy output in text format. The main purpose of this paper is to define different algorithm with the same dataset and their efficient accuracy and all the words in a different class to predict the precision, recall and f1-score for all words in Gurmukhi lini.
Approximating Closest Vector Problem in $$\ell _\infty $$ ℓ ∞ Norm Revisited

The security of most lattice-based cryptography schemes are based on two computational hard problems which are the Short Integer Solution (SIS) and Learning With Errors (LWE) problems. The computational complexity of SIS and LWE problems are related to approximating Shortest Vector Problem (SVP) and Bounded Distance Decoding Problem (BDD). Approximating BDD is a special case of approximating Closest Vector Problem (CVP). In this paper, we revisit the study for approximating Closest Vector Problem. We give one proof that approximating the Closest Vector Problem over $$\ell _\infty $$ norm ( $$\hbox {CVP}_\infty $$ ) within any constant factor is NP-hard. The result is obtained by the gap-preserving reduction from Min Total Label Cover problem in $$\ell _1$$ norm to $$\hbox {CVP}_\infty $$ . This proof is simpler than known proofs.
Optimization-Based Audio Watermarking

The fixed and user-defined scaling factor α is defined and used in presented audio watermarking in earlier chapters. Due to this, sometimes, the good tradeoff between perceptual transparency and robustness can’t be achieved. Thus, optimization techniques with watermarking are introduced by researchers for optimization of scaling factor. In this chapter, the overview of optimization and bioinspired-based optimization algorithms are discussed. The working of genetic algorithm (GA), particle swarm optimization (PSO), and simulated annealing (SA) are presented with its working. The optimized audio watermarking using GA, PSO, and SA are also presented with its experimental results.
Design for Manufacture and Assembly of an Automated Dish Washing Machine

This paper was a research done at a local university in Zimbabwe. Dishwashing by hand involves scrubbing, rinsing and drying of dishes which is time consuming and laborious when done on a large scale. Each dining hall at the university uses about one thousand plates per meal and the university is understaffed thus the dishes are not thoroughly cleaned. A dishwashing machine is thus a necessity for the university. Researching of literature was done and information on the current designs of dishwashers, their operations, merits and demerits was gathered. A case study on the university was carried out using interviews and questionnaire. The dishwasher for the university was designed and it uses pressurised water jets to clean the plates. The pressurised water jets are produced by a pump installed in the dishwasher. The plates are put into the dishwashing using a rake conveyer system which is automatically controlled. The von Mises stresses of the system were analysed using Solidworks and they were in the desired range. Deflections were also done using Solidworks. Specifications and drawings of the dishwashing machine were developed. Materials of the design were selected concentrating on reduction of cost through minimising the number of parts retaining its function.
Go with the Flow

Writers use a variety of techniques to organise sentences into a cohesive text that flows logically. These techniques vary from language to language and culture to culture. The cultural differences in techniques affect the ability of some L2 readers to follow a text efficiently. This chapter provides the following guidelines for making texts more transparently cohesive.
Intellectual Curve Scene Text Detection from Natural Images Using MSER Descriptor Based Region Segmentation Approach

Background: A novel method to detect the text region from the natural image using the discriminative deep feature of text regions is presented with deep learning concept in this manuscript. Objective: Curve Text Detection (CTD) from the natural image is generally based on two different tasks: learning of text data and text region detection. In the learning of text data, the goal is to train the system with a sample of letters and natural images, while, in the text region detection, the aim is to confirm whether the detected regions are text region or not. The emphasis of this research is on the development of deep learning algorithm. Methods: A novel approach has been proposed to detect the text region from natural images which simultaneously tackles three combined challenges: 1) pre-processing of the image without losing text region; 2) appropriate segmentation of text region using their strokes, and 3) training of data. In pre-processing, image enhancement and binarization are done then morphological operations are defined with the Maximally Stable Extremal Region (MSER) based segmentation technique which operates on the basis of stroke region of text and then finds out the (Speed Up Robust Feature) SURF key point from those regions. Results: Based on the SURF feature, text region is detected from the images using a trained structure of Artificial Neural Network (ANN) which is based on deep learning mechanism. Conclusion: CTW-1500 dataset is used to simulate the proposed work and the parameters like Precision, Recall, F-Measure (H-mean), Execution time, Accuracy and Error Rate are computed and are compared with the existing work to depict the effectiveness of the work.
An Implementation of a Non-monotonic Logic in an Embedded Computer for a Motor-glider

In this article we present an implementation of nonmonotonic reasoning in an embedded system.As a part of an autonomous motor-glider, it simulates piloting decisions of an airplane.A real pilot must take care not only about the information arising from the cockpit (airspeed, altitude, variometer, compass. . . ) but also from outside the cabin.Throughout a flight, a pilot is constantly in communication with the control tower to follow orders, because there is an airspace regulation to respect.In addition, if the control tower sends orders while the pilot has an emergency, he may have to violate these orders and airspace regulations to solve his problem (e.g.emergency landing).On the other hand, climate changes constantly (wind, snow, hail. . . ) and can affect the sensors.All these cases easily lead to contradictions.Switching to reasoning under uncertainty, a pilot must make decisions to carry out a flight.The objective of this implementation is to validate a nonmonotonic model which allows to solve the question of incomplete and contradictory information.We formalize the problem using default logic, a nonmonotonic logic which allows to find fixed-points in the face of contradictions.For the implementation, the Prolog language is used in an embedded computer running at 1 GHz single core with 512 Mb of RAM and 0.8 watts of energy consumption.
Study on determining the optimal number of cluster in a dataset

Clustering analysis grouping of the data object that depend upon the information search in the data that describe the object and their relationship. It split the dataset into groups of the data object within the same cluster are more matching to the object in the different clusters. The objective of this article to find out the “good” number of clusters. It is of three types of categories: internal measures, external measures and cluster validation.
Self-similar Hanzi-networks Towards Cryptography

The development of Internet information technology has been advancing by leaps and bounds, which marks the entry of human society into the network. The increasingly networked human society needs to understand the network structure. We study and explore the self-similar networks, and show self-similar networks of Chinese characters (called self-similar Hanzi-networks) and some conclusions on them. Self-similar Hanzi-networks can be used to produce topological graphic passwords, which are easy to derive text-based passwords.
A look into five years of locomotion in virtual reality

Survios, a virtual reality (VR) game developer dedicated to building active, immersive experiences that push the limits of VR innovation, developed a range of proprietary locomotion systems in VR to solve for simulator sickness and immersive gameplay.
VHDL-AMS Modelling And FPGA Implementation Of Electrodermal Centers Analyzer

Relying on the phenomena which occurs when electric current is passing through a human skin segment an equivalent electric circuit can be defined. The parameters of this circuit were studied and as a proof of concept of the proposed method and device the equivalent circuit was modeled in VHDL-AMS. Furthermore, an FPGA implementation of an earlier device also conceived by the authors is hereby presented as a novel approach of the matter.
Multi-verse Optimization Algorithm for Solving Two-Dimensional TSP

Multi-verse optimization (MVO) algorithm is proposed as a new metaheuristic optimization algorithm, which is successfully applied to function optimization and engineering computation, and shows good performance. The Traveling Salesperson Problem (TSP) is an NP-complete combinatorial optimization problem of substantial importance in many scheduling applications. In this paper, we use the MVO for solving two-dimensional TSP, and compared with the particle swarm optimization (PSO), genetic algorithm (GA) and Cuckoo Search (CS) Algorithm. The ten test instance results show that the proposed solving two-dimensional TSP algorithm performs better in terms of convergence rate and solution quality.
Research on Web Service Selection Based on Parallel Skyline Algorithm

With the continuous development of the Internet, there are many web services with the same functional attributes but different functional attributes. It is urgent to find a web service that can satisfy itself quickly and efficiently from the massive web service data. This paper improves the traditional Skyline algorithm, divides the web service data set into regions, greatly reduces the data points without dominance, and saves memory usage. The improved Skyline algorithm can significantly improve the speed of Web service selection. However, the improved Skyline algorithm will still have insufficient computing resources when processing massive Web service data, resulting in a significant decrease in computing speed and even computer jam. In view of the above situation, this paper will parallelize the improved Skyline algorithm and parallelize the improved Skyline algorithm through the Spark platform. Experiments show that the parallelized Skyline algorithm can better handle massive Web service data.
Making visible the invisible

Making Visible the Invisible is a six-screen, dynamic data visualization artwork at the Seattle Public Library. It visualizes patrons' library checkouts received by the hour through four different animations to give a sense of community interests. The artwork was activated in September 2005 for a 10-year operation and was extended until 2019. As one of the longest-running media arts projects based on live, continuous data, the work has presented significant challenges regarding robustness and durability over time. We review the motivation, design of the system, backup plan, maintenance and novel strategies for a decades-long media artwork.
Fundamental of Audio Watermarking

Audio watermarking is used for such audio signal security as copyright protection and authentication. In audio watermarking, watermark is embedded into a host audio signal in such a way that the embedding content doesn’t get identified. At the same time, the embedded watermark must be robust enough against various audio watermarking attacks. The generalized watermarking framework is given by Podilchuk and Delp [1]. This chapter presents the fundamentals audio watermarking techniques such as spatial domain, transform domain, and hybrid domain.
Some Reflections on the Concept and the Measurement of Entropy in Information-Knowledge System

This chapter is used to reflect on the difficulties of the concept and measurement of entropy in information-knowledge systems after Chap. 1 in which discussions were made on the relational structure between the general definition of information and entropy under the principle of acquaintance and general uncertainty. It is noted that there have been discussions on the basic ideas on thermodynamics, electrodynamics, energetics and electro-magnetism as they relate to matter and energy in the physio-chemical of existence. The ideas and methods of obtaining them are nothing but conditions of knowledge abstracted from information on matter-energy varieties at the principles of acquaintance and observations. The methods and techniques of obtaining the ideas are general and, therefore, not unique to physio-chemical and bio-chemical elements of information-knowledge processes. It is the absence of information-knowledge uniqueness of areas of knowing that entropy is claimed to be general within the certainty-uncertainty duality in the epistemological space over which cognitive agents operate to affect their living conditions and effect their social transformations. This generality does not deny the specificity of the information-knowledge structure about varieties and categorial varieties. The discussions are further supported by discussions on how varieties of matter, energy and related derivatives constitute foundations of the existence of information which constitutes the basis of messaging systems. There are additional discussions on the family of ordinary languages (FOL) and the family of abstract languages (FAL) as they relate to the coded representation and decoded representation of the contents and phenomena of information and messaging [701, 703]. On these bases, we shall now turn our attention to the discussions of the concept of entropy that was introduced in Chapter One in a different approach. This approach has become necessary if different concepts of entropy are to be shown to have common foundation that relates to the solution to the degree of knowledge certainty of epistemic activities over the epistemological space. Here, it is useful to distinguish between intra-space entropy in the epistemological space and inter-space entropy between the ontological space and the epistemological space with explanation and analysis.