Reviewerly/exHarmony huggingface dataset:
Hierarchical Modeling for Strategy-Based Multi-agent Multi-team Systems

Modeling complex environments is a challenging problem that is compounded when there are multiple agents acting together as a team, and the team needs to maintain its own goals while allowing the agents to have some level of autonomy. We propose a modeling framework for strategy-based multi-agent multi-team simulation environments. For these types of environments it is necessary to have a modeling infrastructure that allows for high-level, high-complexity, hierarchical interactions where team goals are prevalent but individual needs are balanced. Such modeling is proposed in this paper - modeling that will avoid large, monolithic models while maintaining complexity of expression balanced with simplicity of operation.
Using PaW-Modo to Enhance Paragraph Writing

In Malaysian primary education, writing skills among the primary ESL learners have always been a focus since it is one of the major English language skills being accessed at the end of their primary education.Although much of the writing at the primary level is guided, it is found that the learners often shun the writing section and show a disinterested manner in learning.Therefore, a quasi-experimental research was conducted to explore the use of PaW-Modo as a strategy in enhancing paragraph writing.The study involved a total of 42 Primary 4 pupils from an urban school, School A and a sub-urban school, School B. Data was collected via tests before and after the intervention, followed by a questionnaire comprising 4 closed-ended items and 2 open-ended items for PaW-Burger and PaW-Oreo activities in PaW-Modo.The post-test result reflected the improvement in their writing skill and the findings from the questionnaire had also revealed that most of the pupils liked using PaW-Modo in writing activities.Therefore, this research would probably benefit both teachers and parents to guide their pupils to experience fun and meaningful learning in paragraph writing.
The Polyphase Representation of Filter Bank Transforms

In Chap. 5 we expressed wavelet transforms, and more generally filter bank transforms, in terms of filters. Through this one obtains intuition on a how a wavelet transform splits the input using low-pass and high-pass filters, and how the filters in the MP3 standard split the input into frequency bands.
Digital survivor of sexual assault

The Digital Survivor of Sexual Assault (DS2A) is an interface that allows a user to have a conversational experience with a survivor of sexual assault, using Artificial Intelligence technology and recorded videos. The application uses a statistical classifier to retrieve contextually appropriate pre-recorded video utterances by the survivor, together with dialogue management policies which enable users to conduct simulated conversations with the survivor about the sexual assault, its aftermath, and other pertinent topics. The content in the application has been specifically elicited to support the needs for the training of U.S. Army professionals in the Sexual Harassment/Assault Response and Prevention (SHARP) Program, and the application comes with an instructional support package. The system has been tested with approximately 200 users, and is presently being used in the SHARP Academy's capstone course.
Evolvement of Big Data Challenges in Computational Intelligence and Soft computing

This research Paper will go through a deep dive discussion and explanation evolvement of Big Data Challenges, there are many complexities involved in Big data mainly format and unstructured nature. These have to be organised and extracted using computational intelligence and soft computing. Various theories and tools are used to to extract meaningful data from the big data. Still there many more challenges like volume, velocity and veracity. The modern world using the smart devices and millions of bytes of data generated every millsecond. This paper discusses the evelovement of big data in the insurance sector as case.
Artfacts - A Platform for Making Sense of and Telling Stories with Cultural Objects

This paper presents the conceptualization, implementation, and evaluation of a Fast-speed IT Platform called Artfacts, which was designed within the context of the Two-speed IT Infrastructure, where a foundational, stable, and slow infrastructure is complemented by a creative, experimental, and agile additional infrastructure capable of promptly responding to the needs of communities. The platform is an attempt to digitally incorporate strategies for making sense and reusing digital collections and mitigate problems concerning specialized knowledge required for profiting from the affordances of data repositories as a creative material. In this sense, through the cartography of information, the platform aims at widening the participation of individuals with no technical background in the development and maintenance process of interpretive applications, no matter whether within cultural institutions or events such as hackathons for cultural heritage. Artfacts intermediates the reinterpretation of cultural datasets and the fabrication of interpretive applications by means of a flexible, general, and interoperable data model that is able to adapt to the demands of storytellers, and an open-ended Object-Oriented UI that enables analysis and experimentation by arranging and rearranging data elements into digital narratives.
Universal quantum uncertainty relations: Minimum-uncertainty wave packet depends on measure of spread

Based on the statistical concept of the median, we propose a quantum uncertainty relation between semi-interquartile ranges of the position and momentum distributions of arbitrary quantum states. The relation is universal, unlike that based on the mean and standard deviation, as the latter may become non-existent or ineffective in certain cases. We show that the median-based one is not saturated for Gaussian distributions in position. Instead, the Cauchy-Lorentz distributions in position turn out to be the one with the minimal uncertainty, among the states inspected, implying that the minimum-uncertainty state is not unique but depends on the measure of spread used. Even the ordering of the states with respect to the distance from the minimum uncertainty state is altered by a change in the measure. We invoke the completeness of Hermite polynomials in the space of all quantum states to probe the median-based relation. The results have potential applications in a variety of studies including those on the quantum-to-classical boundary and on quantum cryptography.
Soft Clustering: Why and How-To

Despite the huge success of machine learning methods in the last decade, a crucial issue is to control the support of the data used in inference, so that data that are too far from the training set are given low confidence by default. The most important class that features this ability is that of prototype-based methods which are based on clustering or vector quantization as a representation learning model. This paper surveys a family of popular soft clustering methods, framing them in a unified formalism. It also discusses the peculiarities of each of them. A large fraction of the paper is devoted to clarifying the role of model parameters and to providing some guidelines on how to set up these parameters.
Two-way quantum key distribution in a uniformly distributed quantum space via a special mapping and its analytical security proofs

Within the field of quantum cryptography, two-way direct quantum secure communication is a relatively new proposal for sharing secret information that is not fully explored yet. We propose a general model for two-way deterministic quantum key distribution, and a special mapping from integers to a uniformly distributed quantum space is introduced for qubit pad preparation. A reduced model, more practical, is also proposed by relaxing the security assumption of the qubit pad preparation. The main work of this paper focuses on the security proofs of these two models. Under collective attacks, we fully analyze the security basis of the general model, and, in a relatively simple way, we provide an analytical security proof for the reduced model in a depolarization quantum channel. Our results show exactly the analytical upper-bound of the amount of useful key that a powerful eavesdropper could extract in both models, and the security of the reduced model is not reduced. One advantage of this work is that the special mapping guarantees the random distribution property of the qubit pad in a uniformly distributed quantum space, thus guaranteeing the security of the two models, and the other advantage is the simplicity of the analytical derivations of security proofs.
A system of rate equations governing a two-sided optical cavity

An evolution equation is introduced which governs a two-sided optical cavity under spontaneous photon emission. This equation implies a system of rate equations for expectation values of combinations of operators relevant to the cavity. This system of equations closes with respect to these variables and it can be solved completely in closed form. Some of the properties of the solutions such as the large time behavior of the expectation values and other properties will be discussed.
Mapping Geochemical Anomalies Through Principal Components Analysis in BIF Mines: An Approach Referring to the Bonito Mine, Northeastern Brazil

Given the subtle complexity associated with the geochemical composition of iron ore deposits, a full understanding of their behavior appears to entail a well-structured geochemical database. In this context, the Principal Components Analysis (PCA) approach has been applied to map geochemical anomalies throughout an exhaustive database concerning the banded iron formation (BIF) deposit of the Bonito Mine, as sited in Rio Grande do Norte State in Northeastern Brazil. The BIF deposit is related to the Serra dos Quintos Formation, Seridó Group, considered as a Neoproterozoic metasedimentary sequence, deposited and metamorphosed during the Brasiliano-Pan African orogeny. The ore typology scheme comprises hematitic itabirites, magnetitic itabirites, martitic itabirites and amphibolitic itabirites. The PCA drawn data appear to reveal that two first principal components prove to explain almost 73% of the cloud information and, as expected, the Fe2O3 and SiO2 contents turn out to have the highest factorial loads on PC1. In addition, the geochemical anomalies, as projected on the factorial plane, appear to reveal some relevant information regarding the geological processes occurring during the iron ore formation. The qualitative correlation between Mn and P-Al2O3 contents indicate that an important sedimentary input have taken place, culminating in the development of the Bonito Mine BIF deposit.
Flood control at km 130 Padaleunyi Toll

Flood is one of the natural phenomena that often brings loss of property and life. Mostly, it occurs during a high-intensity rainfall event in the catchment area which results in high river flow that cannot be accommodated by river cross sections. In Bandung area, one of the locations that are often hit by the flood is located on km 130 of the Padaleunyi toll road. This flood occurred due to the overflow of the Cilember and/or Cimancong rivers tributary which flows parallel to the toll road, inundating the toll road segment with low elevation at around km 130+500. This paper aims to analyze the effective flood control methods in the above location. With catchment area around 2.3km2, which is relatively small, peak flood discharge calculation was carried out using a rational method. Hydraulics simulation was carried out using HecRas, based on river field measurement data of Cilember and Cimancong river cross-section. Analysis result shows that the combination between flood embankment construction and river normalization provides a significant decrease in flood water level in km 130 Padaleunyi toll road. The reinforced concrete vertical wall was considered as the appropriate flood protections structure due to the limited space available between the river and the toll road segment. This paper also underlined the impact of the increasing loss of water retention areas on an increased risk of flooding.
Big Data Analytics and Internet of Things in Industrial Internet in Former Soviet Union Countries

The purpose of this chapter is to explore the integration of three new concepts—big data, internet of things, and internet signs—in the countries of the former Soviet Union. Further, the concept of big data is analyzed. The internet of things is analyzed. Information on semiotics is given, and it reduces to the notion of internet signs. Context concepts and the contribution of big data, internet of things, and internet of signs to contextual simplification are analyzed. The chapter briefly outlines some potential applications of the integration of these three concepts. The chapter briefly discusses the contribution of the study and gives some extensions. These applications included continuous monitoring of accounting data, continuous verification and validation, and use of big data, location information, and other data, for example, to control fraudsters in the countries of the former Soviet Union.
Learning from the construction of a fidget spinner in a geometry classroom project

Knowledge development is a challenge for Faculty members. Understanding the classroom and societal dynamics allow to think other ways to learn. The fidget spinner is becoming popular among students. That is why in a geometry class from Universidad Pontificia Bolivariana (UPB), the final project was to construct this artefact. During the activity, abilities to design were strengthen as well as to build from scratch the spinner. Students comprehend how it works but also can create new alternatives to improve the spinner cycle. Concepts became clear and the function of geometry take a better relevance for student's life.
Computer Technologies for Gestures Communication Systems Construction

The approach to the development of informational computer technologies for the interactive learning of sign language which use 3D model human expart of sign language is proposed. Methods for modeling fingerspelling information and it’s recognizing uses convolution neural networks are created. The implementation of these methods under the operating system Microsoft Windows and on the cross-platform technology have been developed. Methods and software for gestures modeling base on 3D human model and using Motion Capture technology are created.
Determining Visibility Thresholds for Spatial and Spatiotemporal Chromatic Noise

As imaging technology continues to advance toward higher resolutions, changes in sensor design are increasing the likelihood of noise manifesting within an image. Denoising algorithms are used when needed; however, they may be computationally intensive and time expensive. A previous work has shown that denoising algorithms for still images are not necessarily appropriate for temporal sequences. Research into the visibility of noise within images, either still or moving, is necessary to improve future image processing algorithms. Two types of noise can occur within an image as it relates to human vision: achromatic and chromatic noise. As an extension of a previous study on achromatic noise perception, we investigate the perception of chromatic noise in the perceptually uniform and human vision-based IPT color space. Noise was investigated in three color variations: a red-green variant, a blue-yellow variant, and a combination of the two in equal contributions. Each color variation was also examined in two imaging situations, i.e., one static pattern and one temporal sequence. Results show that all conditions exhibit low-pass characteristics, where the sensitivity to high-frequency noise patterns quickly declines in comparison to low and middle frequencies. Sensitivity is higher for low frequencies in a temporal condition versus a static condition, but this difference is small and decreases as we approach high frequencies. Finally, there does not appear to be a significant dependence on the color channel. <disp-quote xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Research into the visibility of noise within images, either still or moving, is necessary to improve future image processing algorithms. </disp-quote>
Systems Perspective of Educational Technology

Austrian biologist Ludwig Von Bertalanffy (1901–1972) is known as one of the founders of general system theory that was published in 1968. According to Bertalanffy, a system is defined as a set of elements standing in interrelation among themselves and within an environment (Bertalanffy, 1968). Peter Michael Senge (born 1947) is an American system scientist and the founder of the Society for Organizational Learning. Senge is known as the author of the book The Fifth Discipline: The Art and Practice of the Learning Organization, which focuses on group problem solving using the system-thinking methods in order to convert companies into learning organizations.
Data-Driven Induction of Shadowed Sets Based on Grade of Fuzziness

We propose a procedure devoted to the induction of a shadowed set through the post-processing of a fuzzy set, which in turn is learned from labeled data. More precisely, the fuzzy set is inferred using a modified support vector clustering algorithm, enriched in order to optimize the fuzziness grade. Finally, the fuzzy set is transformed into a shadowed set through application of an optimal alpha-cut. The procedure is tested on synthetic and real-world datasets.
Analyzing of Service-Oriented Architecture (SOA) Experts Responses by SmartPLS Version 2

In this chapter the researcher will discuss the data collection and the data analyses. Data will be analyzed with SmartPLS. In continuation, the hypotheses of this study will be examined. The relationship among the significant factors, SOA adoption and the performance of organizations will be evaluated at the end of this chapter. Therefore, at the first step of this chapter, demographic information will be analyzed and then the effect of significant factors on SOA adoption and organizational performance will be examined. Finally, at the end of this chapter some recommendations for being successful in adopting SOA and improving the performance of organizations based on the information extract from the last question of the questionnaire will be developed.
Smart Solution to manage computer files and compose text documents using Hidden Markov Model’s Algorithm and Code Excited Linear Prediction Algorithm for Physically Challenged User

The proposed research is to study the relevance on speech recognition and synthesis to solve the challenges faced by physically disabled in the context of digital legacy and to cater to the smart city concept even to the physically challenged. In order to support the research thorough literature on speech recognition and synthesis is conducted and Hidden Markov Model's Algorithm and Code Excited Linear Prediction Algorithm were chosen to be the most effective technique towards finding an amicable solution to the problems faced by the physically challenged in terms of using a desktop and portable devices which uses Microsoft operating systems. The algorithm would be implemented by exploiting the features of C# which enables Windows application for Microsoft Windows platform to be operated on user's speech command. Through developing this application, it would create an affordable interactive system to assist the user in managing many of the Windows operated computer functions through speech recognizing the queries and commands from the user as input and responding back with the appropriate commanded functions as output with apt feedback to the user. The expected stakeholders/users of this application particularly could be any user who faces difficulty in typing causing repetitive strain injury, users with any kind of physical disabilities still could vocally communicate, users facing dyslexia and anyone who is interested to handle desktop hands free.
Simulation and Performance Analysis of Tilted Time Window and Support Vector Machine Based Learning Object Ranking Method

Objective: Since the adequacy of Learning Objects (LO) is a dynamic concept and changes in its use, needs and evolution, it is important to consider the importance of LO in terms of time to assess its relevance as the main objective of the proposed research. Another goal is to increase the classification accuracy and precision. Methods: With existing IR and ranking algorithms, MAP optimization either does not lead to a comprehensively optimal solution or is expensive and time - consuming. Nevertheless, Support Vector Machine learning competently leads to a globally optimal solution. SVM is a powerful classifier method with its high classification accuracy and the Tilted time window based model is computationally efficient. Results: This paper proposes and implements the LO ranking and retrieval algorithm based on the Tilted Time window and the Support Vector Machine, which uses the merit of both methods. The proposed model is implemented for the NCBI dataset and MAT Lab. Conclusion: The experiments have been carried out on the NCBI dataset, and LO weights are assigned to be relevant and non - relevant for a given user query according to the Tilted Time series and the Cosine similarity score. Results showed that the model proposed has much better accuracy.
Coherent Phonons: Quantum Theory

In this chapter, we describe a unified quantum mechanical description for the generation and detection of coherent optical phonons using a simple model. Two electronic states coupled with displaced harmonic oscillators, which represent phonons, are used. The dipole interaction between an optical pulse and the system is assumed and treated as a perturbation interaction. Time evolution of the density operator is calculated using the second-order perturbation approximation.
Public-Key Encryption with Selective Opening Security from General Assumptions

In a selective opening (SO) attack, the attacker can corrupt a subset of senders (or receivers) to open some of the ciphertexts and try to learn information on the plaintexts of unopened ciphertexts. It is important and practical to consider SO attack in encryption scheme. In this paper we study public key encryption (PKE) schemes with SO security. Specifically: Our results provide a new insight about the relations among PKE schemes with SO security, extractable $$\mathrm {\Sigma }$$ -protocol and explainable hash proof systems.
Information Literacy in Portuguese School Libraries: A Longitudinal Study of Master Degree Dissertations

Since the beginning of the 21st century, a rapid growth in access to information and communication technologies has been observed in Portugal, as well as in other European countries. School libraries (SL) and teacher librarians (TL) play a fundamental role as they have been increasingly considered by school communities as an essential resource for developing information literacy (IL) competences. The methodology for this study was a meta-analysis of the results of a body of master dissertations, completed between 2007 and 2017, at Universidade Aberta, Portugal. A first group of the analysed dissertations indicated that in general, TL misunderstood the concept of IL, were still not aware of its importance and most of their work was still related to traditional library activities. In more recent years we have identified some important improvements in Portuguese SL and in research studies and evidence of that progress is shown.