Reviewerly/exHarmony huggingface dataset:
Introducing Information Technology Fundamentals Into The Undergraduate Curriculum

We have been challenged to introduce our students to "information technology" as part of their undergraduate education.This is not an exercise in training people how to use a word processor, rather it is teaching the undergraduate student, from any discipline, the underlying fundamentals of the technology which pervades our daily lives.The genesis of the course is a result from a survey of senior people at Navy operational commands listing the top ten areas where our graduates could use more emphasis in their education.Of those top ten, we developed a course, which addressed seven of the areas.These areas include Networking, the Internet, Communications Theory, Software, Databases and the World Wide Web.The diversity of the topics and the target audience meant that we were not able to go particularly deep in any one area.One of our main goals was to bring a non-technically oriented student up to a conversational level on the topic areas and to provide them with a foundation and a desire to seek a deeper understanding on their own.The initial target audience for the course is anyone who has had two semesters of Physics.As a result, we had ten different majors in the first offering of the course, varying from History to Economics to Computer Science and Marine Engineering.The course is offered as a lab course in order to allow as much hands-on opportunity as possible.In this paper, we focus on the course topics we covered in hope that others who may face this daunting challenge may gain some insight.We attempt to show how we approached some of the more complex topics without the benefit of higher order math emphasizing the importance of cooperative and collaborative learning in this environment.We also hope to show why a course like this rightly belongs in the Electrical and/or Computer Engineering Department and the challenges that brings.
Quaternion-based Encryption/Decryption of Audio Signal Using Digital Image as Variable Key

With the rapid growth of communication technology, cryptography plays a significant role in securing and verification of information exchanged via public communication channels. The current paper introduces a novel method for encrypting/decrypting audio signal using a selected digital image as a complicated key and cover for audio signal. Each sample of the audio signal is combined with the values of the three color components of a pixel fetched from the cover image yielding a quaternion number. The absolute value of this quaternion number is then transmitted and when received, the original value of the audio sample can be extracted using simple quaternion mathematics. A second level of complexity can be added to this approach by applying one of the well-known cryptographic techniques (symmetric or asymmetric). The suggested approach is implemented using Matlab simulation software and the generated audio signal is compared with the original one using some performance metrics. The obtained results show that the proposed approach is robust and more secure against cryptanalysis attacks.
New Algorithm for Text in Text Steganography

Steganography is a technique to hide secret information in some other data (we call it a cover) without leaving any apparent evidence of data alteration. All of the traditional steganographic techniques have limited information- hiding capacity. They can hide only 10% (or less) of the data amounts of the cover. While much of the recent research in steganography has been on hiding data in images, many of the solutions that for images are more complicated when applied to natural language text as a cover medium. Many approaches to steganalysis attempt to detect statistical anomalies in cover data which predict the presence of hidden information. Natural language cover texts must not only pass the statistical muster of automatic analysis, but also the minds of human readers. This paper present a new algorithm to hide a large amount of text in cover text without effecting the cover, by using many types of pointers ( which are characters can interpreter as invisible character, or as apart of cover. Pointers used as single pointer or set of pointer to represent new single pointer. In this algorithm we can hide more than 40% of the data amounts of the cover.
Squeezed coherent state for free-falling Maxwell–Chern–Simons model in long-wavelength limit

Coherent states provide a natural relation between quantum mechanical and classical description. The experimental verification of the quantum-domain validity of the intrinsic classical principles such as weak equivalence principle requires coherent state structure. With the help of interferometry experiments by LASER, it is possible to build an experimental setup to determine the aspects of coherent states. Therefore, the theoretical description of construction of coherent state structure for a system is always interesting. In this article, we have utilized Lewis–Riesenfeld method to construct the coherent state structure for the self-adjoint Hamiltonian of the free-falling Maxwell–Chern–Simon model in long-wavelength (low energy) limit. The constructed basis vectors are minimum uncertainty states and they follow the completeness relation which confirms that they form an over-complete coherent basis.
Algeomitri analysis of location proposed dam Jernaf Sharqat / northern Iraq

To study the morphometric characteristics of importance in the geomorphological and hydrological studies, as is the study of a set of characteristics that can be measured through a set of mathematical models and processes based on digital elevation model (DEM) and the use of the program (ARCMAP), in order to determine the morphometric characteristics of characteristics of spatial, longitudinal, and formalism, The terrain of the basin of the valley Al-Jirnaf conducted some surveys of a section of the valley in Sharqat by adapting the mainstay of abandoned concrete, which is located at the downstream area of ​​the basin, and use it as a way station to measure innovative before the first Tumble rain for the year 2013-2014, it aims to achieve integrated data lend to achieve the project base strategically important to the region and supports investment and development in water resources management and how to keep them and use them aims to achieve integrated data lend to achieve important strategic project for the region and supports investment and development in water resources management and how to keep them and take advantage of the base, and the Cubs Giomitri analysis of the tank, which explains the form and extent of the reservoir of attributed to (158) meters above sea level to the alleged (173) meters above it sea level where the tank longitudinal form and punctuated by some bays and occasional longitudinal flowing in, and accounts areal and volumetric at all levels and their relationship with each other and interpretation of curves, that predispose database The dam is designed to give a picture of the islands that appear and the other by the sink when water levels change .
Modeling low-resolution galaxy spectral energy distribution with evolutionary algorithms

Astrophysics and Cosmology are entering in a new epoch in which an extremely large volume of data is accessible by the researchers. Consequently, the researchers have to modify their procedures for data analysis to adapt them to this new scenario. This requires the incorporation of new scientific computing resources able to maintain, at least, the present scientific production performance. As part of this increment in the data volume, it should be underlined the number of high-quality galaxy spectra produced by the new instruments. Galaxy spectra are important in Astrophysics because of they encode essential information, such as age and metallicity, of the constituent stellar populations, and, therefore the evolutionary history of the corresponding galaxy. In this work, these galaxy spectra are modeled by using Simple Stellar Populations. This mechanism to model the galaxy spectra allows an in-depth understanding of the present state of the galaxy, but also it allows understanding its past evolution. However, this modeling requires to adequately combine more than one Simple Stellar Population to reproduce the galaxy spectral energy distribution. To find high-quality solutions, metaheuristic algorithms are suitable. In this work, a wide portfolio of metaheuristics are evaluated to reproduce the Low-Resolution Spectra Energy Distribution of galaxies: M110, M32, and NGC3190. The final aim of this work is to advance in the evaluation of some metaheuristics for modeling the Spectral Energy Distribution of a galaxy as a combination of predefined Simple Stellar Populations Spectra.
Fast Random Genetic Search for Large-Scale RTS Combat Scenarios

This paper makes a contribution to the advancement of artificial intelligence in the context of multi-agent planning for large-scale combat scenarios in RTS games. This paper introduces Fast Random Genetic Search (FRGS), a genetic algorithm which is characterized by a small active population, a crossover technique which produces only one child, dynamic mutation rates, elitism, and restrictions on revisiting solutions. This paper demonstrates the effectiveness of FRGS against a static AI and a dynamic AI using the Portfolio Greedy Search (PGS) algorithm. In the context of the popular Real-Time Strategy (RTS) game, StarCraft, this paper shows the advantages of FRGS in combat scenarios up to the maximum size of 200 vs. 200 units under a 40 ms time constraint.
Character Focused Narrative Models for Computational Storytelling

My thesis aims at conceptualizing and implementing a computational model of narrative generation that is informed by narratological theory as well as cognitive multi-agent simulation models. It approaches this problem by taking a mimetic stance towards fictional characters and investigates how narrative phenomena related to characters can be computationally recreated from a deep character model grounded in multi agent systems. Based on such a conceptualization of narrative it explores how the generation of plot can be controlled, and how the quality of the resulting plot can be evaluated, in dependence of fictional characters. By that it contributes to research on computational creativity by implementing an evaluative storytelling system, and to narratology by proposing a generative narrative theory based on several post-structuralist descriptive theories.
Causal Link Semantics for Narrative Planning Using Numeric Fluents

Narrative planners would be able to represent richer, more realistic story domains if they could use numeric variables for certain properties of objects, such as money, age, temperature, etc. Modern state-space narrative planners make use of causal links—structures that represent causal dependencies between actions—but there is no established model of a causal link that applies to actions with numeric preconditions and effects. In order to develop a semantic definition for causal links that handles numeric fluents and is consistent with the human understanding of causality, we designed and conducted a user study to highlight how humans perceive enablement when dealing with money. Based on our evaluation, we present a causal semantics for intentional planning with numeric fluents, as well as an algorithm for generating the set of causal links identified by our model from a narrative plan.
Structured Design Approach for Converting Classroom Courses for Online Delivery

As online courses have proliferated, more and more face-to-face instructors are challenged with the requirement to develop their courses for the online environment.In this paper, a spreadsheet table is described in which each row represents a week, called a module, of the class and each column represents a specific design element, such as learning objectives, learning assessments, resources, lectures, videos, other learning activities, or other design components found in an online course.The process begins with an effort to infer the learning objectives by examining the content and assignments given in the classroom.These are entered into the table.Next the assignments from the classroom are entered in the assessment column and the alignment between learning objectives and assessments is determined followed by adjustments to the learning objectives and assessments to achieve better alignment.The content material that will result in the students achieving the learning objectives is then determined using what can be leveraged from the classroom as well as new material.The iteration process continues with adjustments to the learning objectives, assessments, and content material until the instructor is satisfied that the course is both well aligned across a module as well as sequentially from week to week.This spreadsheet table then becomes the final overall detailed description of the course and serves as a starting point for design tune-up activities each time the course is taught.
A Coherent Framework for Learning Spatiotemporal Piecewise-Geodesic Trajectories from Longitudinal Manifold-Valued Data

This paper provides a coherent framework for studying longitudinal manifold-valued data.We introduce a Bayesian mixed-effects model which allows estimating both a group-representative piecewise-geodesic trajectory in the Riemannian space of shape and inter-individual variability.We prove the existence of the maximum a posteriori estimate and its asymptotic consistency under reasonable assumptions.Due to the non-linearity of the proposed model, we use a stochastic version of the Expectation-Maximization algorithm to estimate the model parameters.Our simulations show that our model is not noise-sensitive and succeeds in explaining various paths of progression.
Quantum secrecy in thermal states III

Abstract In this paper we expanded the security of a central broadcast protocol using thermal states to the case in which the eavesdropper controls the source. Quantum secrecy in a continuous variable central broadcast scheme is guaranteed by the quantum correlations present in thermal states arising from the Hanbury Brown and Twiss effect. This work allows for a method of key exchange in which two parties can agree a key as long as both can detect the same source and they are within the spatial coherence length of the source. This is important because it allows quantum secure key exchange with only minimal changes to existing infrastructure.
A Joint Encryption-Encoding Scheme using QC-LDPC Codes based on Finite Geometry

Joint encryption encoding schemes have been released to fulfill both reliability and security desires in a single step. Using Low Density Parity-Check (LDPC) codes in joint encryption encoding schemes, as an alternative to classical linear codes, would shorten the key size as well as improving error correction capability. In this article, a joint encryption encoding scheme using Quasi-Cyclic Low Density Parity-Check (QC-LDPC) codes based on finite geometry is presented. It is observed that our proposed scheme not only outperforms its predecessors in key size and transmission rate, but also remains secure against all known cryptanalyses of code-based secret key cryptosystems. In this paper, we have proposed an idea to make QC-LDPC based cryptosystems secure against reaction attacks. It is subsequently shown that our scheme benefits from low computational complexity. By taking the advantage of QC-LDPC codes based on finite geometry, the key size of our scheme is very close to its target security level. In addition, using the proposed scheme, a wide range of desirable transmission rates are achievable. This variety of codes makes our cryptosystem suitable for a number of different communication and cryptographic standards such as wireless personal area networks (WPAN) and digital video broadcasting (DVB).
Product Comparison between Local Product and Technology Aided Mambong Pottery

There are various traditional Malay potteries such as Labu Sayong, Buyung and Terenang. Kelantan traditional pottery known as Mambong. The objectives of this research are to compare and characterize the density, strength, physical appearance and shrinkage of traditional and slip casted Mambong pottery. Traditional Mambong pottery has been brought from the potter at Mambnog village and slip casted Mambong pottery is made by using slip casting method. Density of sample is measured by using Archimedes principal. Traditional Mambong pottery show the higher value of density compared to slip casting Mambong pottery. The average value of density for traditional Mambong pottery was 1.763 g/cm3, while the average value of density for Mambong pottery that was fabricated via slip casting was 1.461 g/cm3. Due to the presence of iron in clay, the colour of Mambong pottery changes from brown to reddish-brown after firing process. Traditional Mambong pottery shows the higher percentage of dry shrinkage which was 9.76 % compared to slip casting Mambong pottery which was 5.72 %. Traditional Mambong pottery also shows the higher percentage of fired shrinkage which was 1 % compared to slip casting Mambong pottery which was 0.58 %. In conclusion, by using slip casting technique, density, physical appearance and shrinkage of pottery can be improved.
Towards a Logic Programming Tool for Cancer Data Analysis

The main goal of this work is to propose a tool-chain capable of analyzing a data collection of temporally qualified (genetic) mutation profiles, i.e., a collection of DNA-sequences (genes) that present variations with respect to their “healthy” versions. We implemented a system consisting of a front-end, a reasoning core, and a post-processor: the first transforms the input data retrieved from medical databases into a set of logical facts, while the last displays the computation results as graphs. Concerning the reasoning core, we employed the Answer Set Programming paradigm, which is capable of deducing complex information from data. However, since the system is modular, this component can be replaced by any logic programming tool for different kinds of data analysis. Indeed, we tested the use of a probabilistic inductive logic programming core.
Exclusivity and kinds of models in modulated disjunctive inferences

The disjunction introduction rule, that is, the schema in classical logic that, from a premise, leads to conclude a disjunction transforming the premise into a disjunct of that disjunction, is a cognitive problem. This is so because people only use this rule on a few occasions. Therefore, any theory trying to account for human reasoning must explain this phenomenon as well. Based on the mental models theory, Orenes and Johnson-Laird provide such an explanation. In this way, this paper is intended to show that, although it can seem that their account is in contradiction with some essential assumptions and important developments of the aforementioned theory, that is not actually so. The key points in this regard that will be analyzed are the way the mental models theory really understands disjunction and the distinction that this last approach presents between Mental Models and Fully Explicit Models.
INVESTIGATING THE DIFFICULTIES FACED BY ENGLISH DEPARTMENT STUDENTS IN STRUCTURE AND WRITTEN EXPRESSION SECTION OF TOEFL AT BUNG HATTA UNIVERSITY

Abstract&#x0D; TOEFL has been regulated as one of the graduation requirements at Bung Hatta University with a minimum score of 400 for all majors, including the English Department. However, there are students still failed in achieving the targeted score. The preliminary research showed that English Department students at Bung Hatta University had difficulties in TOEFL, especially the Structure and Written Expression section. Thus, this research aimed to investigate the difficulties faced by students viewed from material and personal factors. Descriptive research was applied as the research method where the sixth-semester students of English Department were chosen as the subject of the research. There were three instruments used in collecting the data of this research which were the researcher as the instrument; the test of Structure and Written Expression section of TOEFL aimed at identifying the students' ability in the test and collecting the data about the materials faced difficult; interview guide to investigate the factors causing them difficult in the test. Then, the result showed that the ability of English Department students in Structure and Written Expression section of TOEFL was 41% in level C, "Moderate." It proved that the Structure and Written Expression section of TOEFL was the most difficult section to answer two other sections (Listening and Reading Comprehension) faced by English Department students at Bung Hatta University. Among the eight indicators of materials tested in the Structure section of TOEFL, Inversion became the most difficult one to answer. The percentage of difficulty for this material was 85,19%. Thus, in finding the factors causing them difficult, seven indicators were interviewed to the subject of the research. Then, Material Comprehension was the most dominant factor causing the students difficult in the test.&#x0D;
ANALISIS STRUKTURALISME GENETIK DAN NILAI PENDIDIKAN KARAKTER NOVEL MARYAM KARYA OKKY MADASARI SEBAGAI BAHAN AJAR SASTRA DI SEKOLAH MENENGAH ATAS

&lt;em&gt;This study aims to describe the intrinsic elements of the novel 1) Maryam by Okky Madasari; (2) the author's view of the world; (3) the value of character education in the novel of Maryam; and (4) the relevance of the novel of Maryam as the materials literature in high school. The research of applying qualitative methods with genetic structuralism approach. Data and data sources this research is the archives/documents and informants. Research subject retrieval technique used the purposive sampling. The technique of data collection used the analysis of documents and in-depth interviews. The validity of the data used triangulation theory and sources. Data analysis technique used analysis of the flow. Results of the study are: (1) there is relationship between substance of the novel of Maryam includes themes, characters and characterization, setting, plot, point of view, and value; (2) the author's world view includes the religious view, humanism, and feminism; (3) the story in the novel of Maryam contains 10 values character education includes religious tolerance, hard working, independent, democratic, curiosity, friendly/communicative, social care, and responsibility; (4) the novel Maryam relevant with learning materials of literature in high school especially in KD (3.8) Interpret the author's view on life in the novel is read and Analyze (3.9) and linguistic content of the novel.&lt;/em&gt;
Food Opera: A New Genre for Audio-gustatory Expression

“Food opera” is the term that the authors have applied to a new genre of audio-gustatory experience, in which a multi-course meal is paired with real-time, algorithmically generated music, deployed over a massively multichannel sound system. This paper presents an overview of the system used to deploy the sonic component of these events, while also exploring the history and creative potential of this unique multisensory format.