Reviewerly/exHarmony huggingface dataset:
Towards Robust Waveform-Based Acoustic Models

We study the problem of learning robust acoustic models in adverse environments, characterized by a significant mismatch between training and test conditions. This problem is of paramount importance for the deployment of speech recognition systems that need to perform well in unseen environments. First, we characterize data augmentation theoretically as an instance of vicinal risk minimization, which aims at improving risk estimates during training by replacing the delta functions that define the empirical density over the input space with an approximation of the marginal population density in the vicinity of the training samples. More specifically, we assume that local neighborhoods centered at training samples can be approximated using a mixture of Gaussians, and demonstrate theoretically that this can incorporate robust inductive bias into the learning process. We then specify the individual mixture components implicitly via data augmentation schemes, designed to address common sources of spurious correlations in acoustic models. To avoid potential confounding effects on robustness due to information loss, which has been associated with standard feature extraction techniques (e.g., <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">fbank</small> and <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">mfcc</small> features), we focus on the waveform-based setting. Our empirical results show that the approach can generalize to unseen noise conditions, with 150% relative improvement in out-of-distribution generalization compared to training using the standard risk minimization principle. Moreover, the results demonstrate competitive performance relative to models learned using a training sample designed to match the acoustic conditions characteristic of test utterances.
Espacio seguro y educación: el objeto de apego como instrumento de investigación en contextos artísticos

espanolBasada en las Artes, que pretende mostrar las posibilidades metodologicas del objeto de apego como instrumento de investigacion en contextos de Educacion Artistica. Entendiendo el objeto de apego como sinonimo de hogar, se plantean las preguntas de si el sistema educativo y las aulas son espacios seguros y si en caso de serlo, lo son para todos y todas; el objetivo seria lograr un entorno seguro para el maximo numero de personas posible. El paso por el sistema educativo quiere ser garantia de exito y una posibilidad de proporcionar avance y progreso al alumnado; sin embargo, no siempre asegura que sepa acompanar a cualquier persona independientemente de su realidad ni que cualquier exito y progreso sean bienvenidos. ?Desde donde se educa, para quien y para que? Se comparte en esta investigacion la puesta en practica de estrategias artisticas protagonizadas por la relacion con el objeto y como ese objeto nos ayuda a relacionarnos con nosotros mismos. A traves del recuerdo, se recrea una estrategia artistica para acercar la historia de la arteducadora al aula a traves de la imagen, de las referencias artisticas, de la bibliografia, del contexto concreto del centro educativo y de la clase y de las relaciones que se produzcan en ella con los recuerdos del propio alumnado. EnglishThe arts, the education, the trips and my memory make up the present paper of Educational Research Based on the Arts, which aims to show the methodological possibilities of the attachment object as a research instrument in Art Education contexts. Understanding the object of attachment as a synonym for home, the questions are raised as to whether the educational system and classrooms are safe spaces and if they are, they are safe for everyone; the goal would be to achieve a safe environment for as many people as possible. The passage through the educational system wants to be a guarantee of success and a possibility of providing advancement and progress to the students; however, it does not always ensure that he knows how to accompany anyone regardless of their reality or that any success and progress are welcome. From where is it educated, for whom and for what? The implementation of artistic strategies starring the relationship with the object and how that object helps us to relate to ourselves is shared in this research. Through memory, an artistic strategy is recreated to bring the history of the art educator to the classroom through the image, artistic references, bibliography, the specific context of the educational center and the class and the relationships that are produced in it with the memories of the students themselves.
IMPLEMENTASI SISTEM PAKAR DIAGNOSA PENYAKIT KULIT BERBASIS WEB DENGAN METODE FORWARD CHAINING

Experty system is one of field in artificial intelligenc, where such system has goal to adopt various illness or desease in computer application. By build this system, it expects computer can give a precice decision like professional that has certain knowledge. This system can be used by end user to get early information about skin illness that they suffer. It also give a fast respond how to overcome the skin disease.In this experience, we use forward chaining to get decision. The system based on web which use php as programming language anda MySQL as main database.
El impacto de la Covid-19 en el uso de la plataforma virtual de IEUC en el año 2020

Continental University has provided for more than 20 years the university educational service in its different modalities. However, taking into account the drastic changes that are spreading due to the pandemic originated by COVID-19, it is fully evident that the face-to-face classes have been affected, thus generating the execution of virtual classes for the face-to-face modality students with the support of the Blackboard platform. From the above, the impact of the virus on the use of the educational platform by the university students of Business Engineering career was determined, where basic studies were used with a non-experimental design. Getting students to perceive the level of teaching quality received notoriously low in the virtual classes, compared to face-to-face classes, and all have frequently had drawbacks in the development of these, by using the Blackboard platform. The research concludes that COVID-19 affects the development of virtual classes, as students at Continental University mention that all of them have had inconvenients at least once a week when it comes to entry to the platform.
LibGuides: Virtual Book Club: The Taking of Jake Livingston (Fall 2021)

Resource guides to enhance your Virtual Book Club reading experience. Reading guide for Song of Achilles
Augmented Reality Portal 360 Degrees Tourism “Bundaran Balanga” Sampit

The tragedy that occurred in the Sampit area 20 years ago was commemorated and immortalized by the local government with the construction of the Bundaran Balanga . Initially, the roundabout was only a monument made of wood which became a symbol of peace which was later enhanced with typical Dayak ornaments which became historical tours for tourists. However, information about this history cannot be obtained by tourists or people who visit there or who want to visit the place because there is no media and supporting technology for this tour. A tourism application was made to introduce the history of the Balanga roundabout accompanied by Augmented Reality which can display a 360 degree view of the object. The data collection method is done by interview, documentation, observation and literature study. The stages of this research include concept, data collection, analysis and design, implementation and testing. This tourist application provides information about a complete description of the history of the Balanga Roundabout including the location and distance traveled along with photos. As for accessing Augmented Reality you have to scan the QR Code. This application helps provide information about the history of the Balanga Roundabout and tourists can feel as if they are in that location with a 360 degree view around it.
Image Processing for Combat Charcoal Identification Based on Maturity Level

At this time the processing of coconut shells into shell charcoal is very much done by ordinary people, especially in villages that have a large coconut population. This is because the benefits obtained from the processing of coconut shells can meet the needs of the community. The many desires of the people who want to do the processing of coconut shells, but not accompanied by sufficient knowledge and knowledge of the quality of charcoal desired by buyers, so it is undeniable that the number of coconut shells that have been processed into charcoal but not sold in the market. o with this, it is expected that after using the image processing method can provide knowledge and knowledge to the public about the quality of charcoal that buyers expect, especially to identify the difference in coconut shells that are still not charcoal, coconut shells that are half into charcoal and coconut shells that have become charcoal. This image processing method will classify coconut shell charcoal based on digital imagery with a media interface GUI (Graphical User Interface) that utilizes matlab software.
Research Guides: Bridge Library Discovery: Module 3

This page contains the materials for the Bridge Library Program. This page contains materials for the third Bridge Library Discovery session.
BLOCKCHAIN IN MARKETING

Blockchain is one of the particularly recently acclaimed technological solutions, which is believed to soon change many areas of human activities. Blockchain is also more and more often referred to as one of the key innovations related to digital transformation. It was first introduced in 2008 in the area of finance as to serve as a public ledger for bitcoin cryptocurrencies. Now, it is growingly implemented in other areas of human activities such as: financial services, video games, energy trading, supply chains, anti-counterfeiting or healthcare as well as in art, art market and marketing. It is believed that it will significantly affect the development of digital marketing. The priority of this article is to present the basics of blockchain functioning in marketing. The second aim is to show the initial research results of the marketing industry in Poland, particularly in the context of blockchain. In this article, I analyze the blockchain solution per se, its origin, short history and the application in marketing. Nowadays, we almost live in a digital world, that is why marketing experts need to find and develop new and highly effective ways of reaching to their potential clients. Moreover, this article describes the role of the blockchain in making marketing operations more telling in a digital world. Finally, the areas of blockchain applications in marketing and the possible benefits thereof are analyzed.
Parallel Verification of Serial MAC and AE Modes

A large number of the symmetric-key mode of operations, such as classical CBC-MAC, have serial structures. While a serial mode gives an implementation advantage in terms of required memory or footprint compared to the parallel counterparts, it wastes the capability of parallel process even when it is available. The problem is becoming more relevant as lightweight cryptography is going to be deployed in the real world. In this article, we propose an alternative implementation strategy for serial MAC modes and serial authenticated encryption (AE) modes that allows 2-block parallel operation for verification/decryption. Our proposal maintains the original functionality and security. It is simple yet novel, and generally applicable to a wide range of existing modes including two NIST recommendations, CMAC and CCM. We demonstrate the effectiveness of our proposal by showing several case studies with software implementations.
Feature points matching method based on improved A-KAZE algorithm

An improved A-KAZE algorithm is proposed in this paper. The nonlinear diffusion filtering strategy is used to improve the defect of the traditional Gauss kernel function in constructing the scale space, and the boundary of the target is preserved while the local adaptive filtering is realized. The characteristic points detected have scale invariance. Combining the principal direction of feature points and the improved BRIEF descriptor, the problem of rotation invariance in matching is solved, and the matching time is shortened in the form of binary coding. Compared with ORB, BRISK algorithm, the improved algorithm realizes the advantage combination of A-KAZE and BRIEF algorithm, and carries on the characteristic point matching experiment in indoor and outdoor environment, and compares it with that of BRIEF algorithm, and the result shows that the improved algorithm realizes the advantage combination of A-KAZE and brief algorithm. The high accuracy and high efficiency image feature point matching is realized.
GreynirCorpus (2021-06-23)

GreynirCorpus is a corpus of 10 million sentences, mostly from news sources, that have been parsed into full constituency trees by an automatic rule-based parser. It also contains a gold standard corpus of 5,000 hand-annotated parse trees. More information at: https://github.com/mideind/GreynirCorpusGreynirCorpus er þattuð malheild sem inniheldur 10 milljonir malsgreina, að mestu ur frettatextum, sem hafa verið fullþattaðar með sjalfvirkum regluþattara. Malheildin inniheldur einnig gullstaðal með 5.000 handþattuðum þattunartrjam. Frekari upplýsingar a: https://github.com/mideind/GreynirCorpus
An Improved A* Algorithm Based on Localizability Estimation for Mobile Robots

A* algorithm is widely adopted for path planning in the applications of mobile robots. However, the existence of extended nodes and redundant points after applying A* algorithm may cause a long planned path. To address this issue, an improved A* algorithm is proposed. Localizability of the robot's current node on a grid map is first estimated. Then, the parent node and the grandparent node of current node are referred to build the relation between the actual cost and the heuristic cost. The heuristic cost is weighted to analyze the effect of the actual cost and the heuristic cost on the planned path. Finally, a path planning strategy with adaptive step size is proposed to optimize the path. Simulations show that the proposed algorithm outperforms the A* algorithm and the ant colony algorithm in terms of localizability of the robot and the path cost.
P‐8.8: Low cost private set intersection protocol based on oblivious transmission

Private set intersection (PSI) all two parties need to calculate the intersection of the sender and the receiver, and do not need to communicate with each other. At present this protocol is widely used in the field of information security. and PSI based on different technologies has been proposed. However, it is difficult for existing psi protocols to determine the best solution in each scenario. especially because they are not compared in the same environment. In addition, the existing psi protocols are several orders of magnitude slower than the hash method in practice,. This article reviews the development process of PSI, and then we focus on the security of semi honest adversary psi protocol and use the latest methods to improve efficiency to achieve inadvertent transmission. In addition. the important optimization of the previous psi protocol is proposed and a new psi protocol is proposed, Whose runtime is better than the existing protocol. In addition, by applying bloom filter. the receiver can calculate the output more easily than performing encryption on the senders private data set when using low‐power mobile. Internet of animals devices. In the semi honest model, we can prove the security of this method. In the experiment. through the implementation of all protocols on the same platform we give the use of this protocol in a specific environment, and evaluate the progress of PSI protocol by comparison. At present we use the insecure Nave hash protocol. By processing two large data sets. We prove the feasibility of our new psi protocol.
ANALISIS EFEKTIFITAS PEMBELAJARAN DARING BERDASARKAN PEMAHAMAN MAHASISWA

Online learning is the main tool when there is a Covid-19 pandemic outbreak. The Uhamka Mathematics Education Study Program is no exception which uses online learning tools such as Whatsapp groups, Zoom meetings, Google class rooms, Youtube, and other application media when learning online. Students' understanding is very influential in the online learning process. The learning process can be said to be successful and of quality if the learning process is carried out effectively in accordance with the learning method. On this occasion, the research was applied to students of the Uhamka Mathematics Education study program. Student understanding is adjusted to the effectiveness of online learning taking place. Based on this research, online learning has not been carried out effectively which results in reduced student understanding. Other results show that lecturers and students have not complained about doing online learning which results in less effectiveness in online learning.Keywords: online learning; student understanding.
Identification Performance During Quarantine by COVID-19 Pandemic: Influence of Emotional Variables and Sleep Quality

The COVID-19 pandemic has caused major disruptions in people’s lives around the globe. Sleep habits and emotional balance have been disturbed in a way that could be comparable to the havoc caused by a deep personal crisis or a traumatic experience. This unfortunate situation provides a unique context in which to study the impact of these imbalances on cognitive processes. In particular, the field of eyewitness science could benefit from these conditions, since they are also often present in crime victims, but can only be generated in the laboratory up to a certain ethical and practical limit. For several decades, eyewitness studies have tried to discover what variables affect people’s ability to properly recognize faces. However, the disparity of experimental designs and the limitations of laboratory work could be contributing to the lack of consensus around several factors, such as sleep, anxiety, and depression. Therefore, the possibility of observing the influence of these agents in natural contexts could shed light on this discussion. Here, we perform simple and repeated lineups with witnesses of mock-crime, considering the conditions related to the COVID-19 pandemic, which to some extent allow emulating the deterioration in general well-being that often afflicts crime victims. For this, 72 participants completed symptomatology scales, and watched a video portraying a staged violent episode. Subsequently, they gave testimony and participated in two lineups, in which we manipulated the presence/absence of the perpetrator, to recreate critical scenarios for the appearance of false recognitions. We found an increase in recognition errors in those individuals who did not have access to the perpetrator during the Initial lineup. Additionally, the conditions of the pandemic appear to have adversely affected the ability to witness and accurately perform lineups. These results reaffirm the need to move toward the standardization of research practices and methods for assessing testimonial evidence, especially in relation to the results of the lineups. Considering the degree of fallibility of these processes can lead to a reduction of wrongful convictions.
Validity testing of blended learning based on android smartphones in computer device maintenance course

Abstract This study aimed to determine the validity level of blended learning media to support the blended learning process. This was a Research and Development (R&amp;D) using the 4D development model. The model involved four steps, namely: 1) Define, 2) Design, 3) Development, and 4) Assessment. Based on the research that has been done, the average value of the test assessment for Android media to support the learning process through Blended Learning is 94.28% which level of validity can be interpreted as very valid. Based on the assessment and input from material experts, Android application software experts and multimedia experts, it can be concluded that the blended learning media is suitable for learning the maintenance of computer devices in the Informatics Engineering Education Department.
Publisher References in Bibliographic Entity Descriptions

This paper describes a method for improved access to publisher references in linked data RDF editors using data mining techniques and a large set of library metadata encoded in the MARC21 standard. The corpus is comprised of clustered sets of publishers and publisher locations from the library MARC21 records found in the POD Data Lake, an Ivy+ Library Consortium metadata sharing initiative. The POD Data Lake contains seventy million MARC21 records, forty million of which are unique. The discovery of publisher entity sets described forms the basis for the streamlined description of BIBFRAME Instance entities. This study resulted in two major outputs: 1) A prediction database and 2) sets of publisher location and name association rules. The association rules are the basis of a prototype autosuggestion feature of BIBFRAME Instance entity description properties designed specifically to support the autopopulation of publisher entities in linked data RDF editors.
Perfil de competencias digitales en alumnos universitarios e influencia por el confinamiento COVID-19

The incorporation of Information and Communications Technologies in society has generated a new context in higher education and in relation to training in digital skills to respond to professional and social demand. The objective of this research is to analyse the profile of digital competences of university students, from their perception, as well as whether they have been influenced by the confinement situation caused by COVID-19. Taking as reference the research consulted and the evaluation model proposed by the European Union, an online survey is designed and sent to the students of the Faculty of Commerce of the University of Valladolid and of the Faculty of Economic and Business Sciences of the Autonomous University of Madrid.The results reveal that, although students have a positive perception of their abilities, significant differences are observed in first-year students and by gender. On the other hand, students' perception of digital skills has been improved during the confinement stage. In short, the results indicate that students take advantage of technology and digital resources adapting them to the needs of each moment.
Shanghai-Style Realistic Style Watercolor Painting Style Transfer by Using RSIM Evaluation

As an important branch of Shanghai-style painting and the source of the development of Chinese watercolor painting, Shanghai-style watercolor painting has distinctive style characteristics, but it is undergoing a dilemma in the inheritance due to the limited application scenes. This paper exploits the VGG19 feature extraction model and Gatys algorithm to carry out image transfer, where reduced structural similarity index RSIM (Reduced Structural Similarity) is proposed to measure the transfer image by sub-index for selecting the optimal transfer image. The style samples of Shanghai-style realistic watercolor paintings and the content samples of Hudecs buildings are transferred to generate materials with distinctive features of Shanghai-style watercolor paintings. On this basis of generated materials, a series of cultural and creative product designs can be created.