Reviewerly/exHarmony huggingface dataset:
Reference Model for Academic Results Certification in Student Mobility Scenarios

The exchange of academic results between HEIs (Higher Education Institutions) is mandatory in every student mobility program (i.e. the EU Erasmus Program) but that process remains to present date with insufficient technological support and the absence of a comprehensive reference model that allows the integration of potential technological solutions for the exchange of academic data with existing Academic Information Systems seems to limit greatly the possibility of adopting solutions of this type referred to in the existing literature. This work addresses this problem, conducting an initial bibliographic review aimed at the identification of the fundamental requirements of such an architecture as well as explores some of the technologies that are showing potential for usage in the safe exchange of academic results between partner HEIs, with particular interest in blockchain technology applied in an educational context.
Research Guides: UB Learns Library Resources Integration: Research Roadmaps

This guide is dedicated to providing information about integrating library resources into your course.
Explainable AI as a Defence Mechanism for Adversarial Examples

Deep learning is the gold standard for image classification tasks. With its introduction came many impressive improvements in computer vision outperforming all of the earlier machine learning model ...
Perception of the FIT Mode (TEC21 Model) of the Course

The following article shows the results of the study applied to the students of different campuses of the Tecnológico de Monterrey that studied the topic: Photography and Digital Image in the FIT mode during the semesters of autumn 017 to spring 019. The objective of this project is to know the levels of acceptance or rejection of this subject that has very peculiar characteristics. The methodology was mixed; the quantitative section was done with an instrument which is answered by the students and it measures the levels of satisfaction towards the course and the teacher. In the qualitative study, in-depth interviews were conducted with the students, and they were asked to write a little (1 page) essay in which they expressed their ideas about the course. As a result, the acceptance rate towards this course has increased over time, and the correct use of Information and Communication Technologies (ICTs), influences the alumni to accept this kind of modalities in the learning process.
Factoring Polynomials over Finite Fields with Linear Galois Groups: An Additive Combinatorics Approach.

Let f(X) ∈ ℤ[X] be a degree-n polynomial such that f(X): = f(X)od p factorizes into n distinct linear factors over 𝔽_p. We study the problem of deterministically factoring f(X) over 𝔽_p given f(X). Under the generalized Riemann hypothesis (GRH), we give an improved deterministic algorithm that computes the complete factorization of f(X) in the case that the Galois group of f(X) is (permutation isomorphic to) a linear group G ≤ GL(V) on the set S of roots of f(X), where V is a finite-dimensional vector space over a finite field 𝔽 and S is identified with a subset of V. In particular, when |S| = |V|^{Ω(1)}, the algorithm runs in time polynomial in n^{log n/(log log log log n)^{1/3}} and the size of the input, improving Evdokimov’s algorithm. Our result also applies to a general Galois group G when combined with a recent algorithm of the author. To prove our main result, we introduce a family of objects called linear m-schemes and reduce the problem of factoring f(X) to a combinatorial problem about these objects. We then apply techniques from additive combinatorics to obtain an improved bound. Our techniques may be of independent interest.
Real Image Super Resolution Via Heterogeneous Model using GP-NAS

With advancement in deep neural network (DNN), recent state-of-the-art (SOTA) image superresolution (SR) methods have achieved impressive performance using deep residual network with dense skip connections. While these models perform well on benchmark dataset where low-resolution (LR) images are constructed from high-resolution (HR) references with known blur kernel, real image SR is more challenging when both images in the LR-HR pair are collected from real cameras. Based on existing dense residual networks, a Gaussian process based neural architecture search (GP-NAS) scheme is utilized to find candidate network architectures using a large search space by varying the number of dense residual blocks, the block size and the number of features. A suite of heterogeneous models with diverse network structure and hyperparameter are selected for model-ensemble to achieve outstanding performance in real image SR. The proposed method won the first place in all three tracks of the AIM 2020 Real Image Super-Resolution Challenge.
Image Processing using Graph Laplacian Operator

The latest image processing methods are based on global data-dependent filters. These methods involve huge affinity matrices which cannot fit in memory and need to be approximated using spectral de ...
System Design Strategy & Energy Yield Analysis for Solar PV Application in an Urban Community with Constrained Rooftop Area

Author(s): Wu, Yanchen | Advisor(s): Brouwer, Jack | Abstract: As the State of California sets up ambitious goals to encourage the use of renewable energy, urban communities in California are starting to adopt community-wide solar photovoltaic (PV) projects with onsite generation. However, with the limited installation space and various structural conditions of rooftops in the community, the total available area to install a solar PV system is severely constrained. The aim to effectively offset the peak of the electricity usage of the community and the goal to increase renewable energy penetration could both be significantly limited. In this work, much in-depth analysis of solar PV installation and layout plans to maximize energy yield and to boost economic return is performed. Besides constant tilted PV array configuration, a novel PV installation layout, the incremental tilted layout, is proposed. For the constant tilted array, with maximum rows of module placed on the rooftop, it is desired to tilting the array at a low angle for roof pitch below local optimal tilt. Also, the low incremental tilting angle can achieve similar energy yield as the constant tilted array but could bring better economics return on a rooftop with low pitches. Meanwhile, a series of constructive strategies to effectively design a community solar PV project is proposed. The Oak View community at Huntington Beach is used as an example to demonstrate the proposed strategy. A community zone-map to deploy PV is created based on the location of critical electrical infrastructures. Overall, it is found that the weather condition and load profile can each significantly affect the solar penetration of the community.
Tecnología móvil en el ambiente académico y su uso en videojuegos

The use of mobile devices among the young population has become widespread, to read newspapers, books or magazines, find information for school assignments, and communicate with their peers for student activities, which can be used to motivate better academic performance. New applications and platforms for learning management, related to new technologies, increasingly accessible such as mobile, with smartphones or tablets in the classroom, forces teachers to use these advantages in their teaching and learning strategies. This paper presents a study, at the National Technological Institute of Mexico, on how the use of this mobile technology is correlated with better results in academic performance for engineering students in mathematics and written language, not so for physics. So also, how the widespread use of social networks and applications for leisure, such as video games, can become a strategic motivational element for learning. The study also shows the need to strengthen the commitment of teachers to link these technologies effectively in the classroom, and not leave it in an intentionality.
Social Media Use Among International Students: Cultural Adaptation and Socialization

The study aims to find out the purposes for which international students use social media and its effects on users in the course of adaptation to a new culture and social environment. In accordance with this aim, international students have been selected as the sample case from Kirklareli University which is located in the northwest of Turkey. In-depth semi-structured interviews have been carried out with 20 students who were contacted through the KLU Inter-national Student Club. In light of the obtained data, it has been concluded that international students have made some changes in the social media tools they use to adapt to their new social and cultural environment and their usage purposes. Besides, the research found that students have instrumentalized social media in the context of language learning, expanding their social environment, improving cultural interactions and maintaining cultural&social ties with the homeland.
RANCANG BANGUN JARINGAN INTERNET MENGGUNAKAN ROUTER MIKROTIK RB2011iL-RM DENGAN WEB FILTERING UNTUK PENGGUNAAN INTERNET SEHAT DI SMK MA’ARIF NU 1 PAGUYANGAN

Abstract─ Computer networks are very much needed in an era of increasingly fast and advanced technology. More and more users are increasing every year, especially in the field of education which has an online learning system and departments related to computers and information technology. That's why researchers took research at SMK Ma'arif Paguyangan to get to a healthy internet by utilizing web filtering, so that Students and female students can be filtered when visiting the web. For the research conducted at SMK Ma'arif nu 1 Paguyangan, in this study the method used to build a computer network using the Network Development Lifecycle (NDLC) model. Keywords─, RB2011iL-RM, web filtering.
The optimum inclination angle of solar still XX desalination technology for use in Depok, West Java, Indonesia

Solar power desalination is one of the tools used in coastal areas that have a low electricity supply to get fresh water from seawater. One of the desalination devices that have been used in Indonesia, named solar still XX imported from another country. The geographical position of the two different countries affects the performance of the tool because it depends on the position yearly of the sun. This study aims to find the optimal inclination angle of solar still XX if used in Indonesia. The method is to find out the relationship between the angle of inclination to maximum temperature in a solar still XX condenser. By testing several inclination angles of 10, 15, 20, 25 and 30 degrees without watering, the maximum temperature of the condenser can be known for each angle of variation. The test location was carried out in the city of Depok (6°21'46.0"S 106°49'24.5"E), West Java in April 2018. Based on the test that has been done, the optimum inclination angle is 20 degrees with the maximum temperature in the condenser reaching 113.8 °C at 11.38 AM.
High-Resolution Signal Reconstruction Method Based on Sparse Structure Preservation

Given the problem that the low sampling period of the servo controller cannot provide high-frequency information for high-precision servo control system state recognition, this paper proposes a high-resolution signal reconstruction method based on sparse structure preservation. The servo system status data is reconstructed to obtain high sampling rate data equivalent to direct measurement, which provides support for extracting system features and status recognition. The main research content of this paper includes verifying the sparseness of the servo control signal, analyzing the consistency of the sparse structure of different sampling rates signals; extracting characteristics based on the combination of empirical mode decomposition (EMD) and principal component analysis (PCA) method. An adaptive sparse dictionary for servo control signals is trained by K-SVD. An objective function is constructed for high-resolution signal reconstruction based on the sparse structure retention properties. It is proved by simulations and experiments that the high-resolution reconstructed signal can be obtained, which is consistent with the high-resolution signal obtained by direct measurement. The method can be used as a reference for the analysis of low-sampling signals of servo control systems of industrial robots and similar equipment and has certain engineering application value.
International Journal of Legal Science and Innovation

International Journal of Legal Science and Innovation is an online, bi-monthly, scholarly, peer-reviewed, Legal International Journal bearing ISSN 2581- 9453. It is no secret that the landscape of scholarly publishing is quickly changing. There is an emergence of new perspectives among editors, reviewers and publishers which has ultimately given rise to new demands and expectations with respect to dynamism in in the concerned disciplines, law in the present scenario.International Journal of Legal Science and Innovation envisages itself to be at the forefront of reinforcing innovation in the conduct of law and legal sciences, considering the fact that law is essentially characterized as being dynamic for it transitionally adapts to the changing times. Believing that such an engagement is metamorphic, the International Journal of Legal Science and Innovation intends to be a leader in facilitating this contemporary discussion.
UTEP Library Research Guides: Library Workshops: Home

This guide provides all the information used in Library Skills Lab or the Library Workshops.
Finding Lensed Quasars with Time Variability in Imaging Surveys

We develop a variability-based lens search algorithm. The test with mock lensed quasars shows that the variability-based lens search algorithm achieves a true-positive rate of 90.1% and a false-positive rate of 2.3%. The application to the HSC transient survey recovers the only known quadruply lensed quasar in the field and discovers seven new lensed candidates. Therefore, we expect that the variability-based lens search algorithm skillfully captures thousands of new lensed quasars in the future.
Research Guides: TCC Votes: General Resources

Information about how to register to vote, what's on the ballot, eligibility, ID requirements, and more. Hotlines, voter registration and election day resources, voting laws primary sources, lesson plans, and exhibits
Logical Interpretations of Autoencoders

The unification of low-level perception and high-level reasoning is a long-standing problem in artificial intelligence, which has the potential to not only bring the areas of logic and learning closer together but also demonstrate how abstract concepts might emerge from sensory data. Precisely because deep learning methods dominate perception-based learning, including vision, speech, and linguistic grammar, there is fast-growing literature on how to integrate symbolic reasoning and deep learning. Broadly, efforts seem to fall into three camps: those focused on defining a logic whose formulas capture deep learning, ones that integrate symbolic constraints in deep learning, and others that allow neural computations and symbolic reasoning to co-exist separately, to enjoy the strengths of both worlds. In this paper, we identify another dimension to this inquiry: what do the hidden layers really capture, and how can we reason about that logically? In particular, we consider autoencoders that are widely used for dimensionality reduction and inject a symbolic generative framework onto the feature layer. This allows us, among other things, to generate example images for a class to get a sense of what was learned. Moreover, the modular structure of the proposed model makes it possible to learn relations over multiple images at a time, as well as handle noisy labels. Our empirical evaluations show the promise of this inquiry.
Text Mining to Support Consulting Services for Client Company State Recognition

This study was conducted to devise a method for supporting consulting service companies in their response to client demands irrespective of the expertise of consultants. With emphasis on revitalization of small and medium-sized enterprises, the importance of support systems for consulting services to serve them is increasing. Those systems must support solutions to difficulties that must be addressed by enterprises. Consulting companies can respond to widely various management consultations. Nevertheless, because the consultation contents are highly specialized, service proposals and problem detection depend on the experience and intuition of the consultant. Often, stable service cannot be provided. A support system must provide stable services independent of the ability of consultants. In this study, analyzing customer information describing the contents of consultation with client companies is the first step in constructing a support system that can predict future problems. Text data such as a consultant’s visit history, consultation contents by e-mail, and contents of call centers are used for analyses because the contents can explain current problems. They might also indicate future problems. This report describes a method to analyze text data using text mining. The target problem is fraud, which includes uncertainty: cases in which it is not clear whether a fraud problem has occurred with the company. To address uncertainty, a method of using logistic regression models is proposed to represent inferred values as probabilities, rather than as binary discriminated data, because the possibility exists that some misidentified companies might have some difficulty. As described herein, computer experiments are conducted to verify the effectiveness of the proposed method and to compare consultants’ forecasted and achieved results. Results of a verification experiment are presented in the following. First, the proposed method is applicable to problems including uncertainties. Secondly, the possibility exists of discovering companies with a fraud problem of which they are unaware.
Concepción de los docentes sobre las metodologías de enseñanza en los paradigmas educativos

espanolEl presente articulo analiza las concepciones de los docentes del area de Ciencias Sociales sobre las metodologias de ensenanzas que ofrecen los paradigmas educativos. La investigacion es descriptiva explicativa, en la que se efectuaron descripciones de los paradigmas educativos (metodologias de ensenanza) y las concepciones que maneja los docentes. Para ello, se selecciono el Liceo Jose Antonio Almazar, se realizaron encuestas y observaciones de clase a 29 docentes del area para reconocer su fundamentacion teorica sobre las metodologias de ensenanza. A traves de la tecnica de analisis descriptivo. Los resultados permitieron observar que falta apropiacion de conceptos basicos teoricos y didacticos sobre los paradigmas educativos y que metodologias emplear, se nota una fuerte tendencia tradicionalista (conductista) con trazos constructivistas. EnglishThis article analyzes the conceptions of the teachers of the area of Social Sciences on the teaching methodologies offered by educational paradigms. The research is explanatory descriptive, in which descriptions of the educational paradigms (teaching methodologies) and the conceptions that the teachers handled were made. For this purpose, the Jose Antonio Almazar High School was selected, surveys and class observations were made to 29 teachers in the area to recognize their theoretical basis on teaching methodologies. Through the technique of descriptive analysis. The results showed that there is a lack of basic theoretical and didactic concepts about the educational paradigms and what methodologies to use, we can see a strong traditionalist (behaviorist) tendency with contructivist lines.
The Application of Popular Music in College Music Education

Popular music is an important part of music education and has a very prominent effect on the development of music in China. Especially in modern times, pop music has slowly entered people's field of vision, and has been stationed in the music classrooms of colleges and universities. This article mainly analyzes some problems and countermeasures in the process of popular music teaching in order to get corrections.
Sistem Pendukung Keputusan Penentuan Profesi Linier Untuk Lulusan Program Studi Sistem Informasi Dengan Metode SAW

We are facing the era of the industrial revolution 4.0. Technology disruption in all fields, labor/vacanciesand unemployment are important issues today. The Ministry of Research, Technology and Higher Educationand the Ministry of Manpower in 2017 have stated that the suitability level of the workforce profession withmajors/courses during college is still relatively low at 45%. On the other hand, the National AccreditationAgency for Higher Education (BAN-PT) when assessing the study program also measures the degree oflinearity between the competencies of graduates with the occupational profession. For this reason, a decisionsupport system exists as a solution to the problems mentioned above. Based on the IS Curriculum 2010document, the SAW (Simple Additive Weighting) method has been implemented by determining 17alternatives/professions and 18 criteria/competencies (consisting of 3 levels: significant coverage, somecoverage, not required). This system has successfully produced output in the form of a ranking of professionsthat are most relevant to the competencies of Information Systems graduates.Keyword : decission support, SAW, profession, information system
Research Guides: Chromebooks for Class: Downloading eBooks

This guide aims to be a basic introduction of the capabilities of a Chromebook for online classes and homework. It outlines how to access certain tools on a Chrome OS. For technology support, please submit a support ticket at help.evergreen.edu.
Redundancy of mset topologies

In this note, our aim is to present the relation between msets and $L$-fuzzy sets. We prove that an mset can be viewed as an $L$-fuzzy set.  An mset topology can be viewed as an  L-topology. Therefore, it follows that mset topologies are redundant in theoretical sense.
A Survey on Reading Habit of Library Users during COVID-19 Lockdown

E-Libraries has become more relevant in present situation of COVID-19 pandemic as it has caused an international lockdown in the world and India Causing majority of the citizens to stay at home The survey was conducted to study the reading habits of various library users (volunteers) during this situation Besides the reading habit, the survey also collected the data for the various activities carried out by users at home Main finding of the survey is that the users had taken keen interest to switch over to reading eBooks and 70% of student users and 53% of faculty users are reading more e-content especially books/magazines/research papers Besides the extensive reading habit, the survey also discloses the greater involvement of users for learning/leisure/hobby activities at home Student users have also reported spending more quality life with family members at home Above all, the survey disclosed the reading of books as the main activity of the users during lockdown This finding will inspire the organizations for establishing scalable and secure elibrary Infrastructure and for focusing on acquiring more eBooks for the eLibrary and provide better services to their users during situations like that of COVID-19
LibGuides: Temporarily Free Scholarly Resources: Home

On a temporary basis a number of vendors have lifted paywalls to scholarly content found in electronic books and journals. The guide also provides links to free continuing education courses and timely library information.
Evaluation of Face Recognition Accuracy in Surveillance Video

Automatic Face Recognition (AFR) can be useful in the forensic field when identifying people in surveillance footage. In AFR systems it is common to use deep neural networks which perform well if t ...