Reviewerly/exHarmony huggingface dataset:
Digital-At-Every-Element Radar Resource Allocation for Multi-Target Tracking

A sensor's performance is constrained by the amount of resources at its disposal and the utilization of those resources. A radar system, for example, has a limited amount of transmit power-aperture per unit time to track a multitude of targets. A typical approach when tracking multiple dynamic targets is to time interleave the update intervals until all the radar tasks are performed. The advent of more agile sensors, such as digital-at-every-element apertures, opens the possibility for dynamic sensor resource allocation strategies to achieve better tracking performance in target-dense, resource-constrained scenarios. With proper research into aperture allocation, such as the analysis provided in this dissertation, an all-digital radar can intelligently exploit the degrees of freedom offered by all-digital radars to increase tracking performance. In this dissertation, we investigate adaptive aperture allocation for tracking a large number of targets. The strategies are first introduced with a parallel, linear channel model, then increased in realism with a non-linear measurement model, and finally applied to a full tracking system. We derive various strategies for allocating power and aperture, and compare their performance based on tracking related metrics. Finally, we investigate the relationship between the aperture allocation strategies and the target locations for multiple scenarios designed to represent the environment for a radar tracking system. This research provides groundbreaking strategies for optimal radar aperture allocation using the digital-at-every-element architectures to reduce the overall system uncertainty and decrease the uncertainty on a per-target basis. Integrating aperture allocation with the management of other degrees of freedom will increase multi-target tracking performance well beyond the current state of the art.
Simulation of ion noise in traveling wave tubes

In this paper, the simulation of ion noise in periodic permanent magnetic field traveling wave tubes is conducted. Through calculation, it is found that the residual gas in the traveling wave tubes is ionized, and the diagnostic of the ion number shows an obvious period which corresponds to the fluctuation of the average kinetic energy.
Alexa Skill Voice Interface For The Moodle Learning Management System

Most educational and training organizations today use some type of learning management system (LMS) to make course material available. Learning management system users want easy and fast access to learning materials. LMS access is typically provided through an online interface or a mobile application, both of which require the use of touch and sight on a computer or device. The last decade has brought considerable progress in voice technology, making the use of voice-enabled devices more common. Since both technology and usage are continuing to grow, voice interfaces will become even more important for modern applications. The purpose of this thesis is to develop a voice user interface for a learning management system: specifically, an Amazon Alexa skill for Moodle. The research thoroughly outlines the process of developing an Alexa skill for Moodle. An Alexa skill integration with Moodle will allow users to more quickly and conveniently access information from the LMS. Immediate benefits of the project include providing site announcements to all users, course announcements to students and teachers, and overall course grades and upcoming due dates to students. In the future, the application may be expanded to implement instructor capabilities and additional course content for students.
El viaje entre español e italiano en el aula de traducción: documentarse, gestionar problemas y dominar técnicas de trasvase

One of the main challenges in teaching translation between Spanish and Italian with tourist texts are culture-specific items, both for their referential role – presenting a foreign reality and therefore attractive to the travellers’ eyes– and as functional markers within the communicative context in which they are employed. Although they could be labelled as mere extralinguistic problems since they are related to cultural differences, these culture-specific items might cause other kinds of problems, related to the author’s intention, or depending on the target context and audience of the translated text, i.e. pragmatic problems. So, apart from an exahustive documentation, including out of date bilingual dictionaries –providing, for instance, extended encyclopedic information– and Linguistic Istitutional sites such as Real Academia Espanola–providing information about neologisms or proper use of anglicisms–, before deciding the right translation strategy for rendering them, we have to take under consideration some other factors, such as the relevance of the culture-specific item and its functions within the specific text employed, as well as the text type and genre, the relationship between the two cultures, etc. In our didactic proposal we present a hybrid text type, the editorial hotel review, written by a travel journalist of El Pais, in which culture-specific words are employed with different purposes and, as a consequence, translation tecniques may vary. Finally, we will underline the relevance of the translator’s internalised culture of the language from which he/she translates, as well as his/her intercultural competence who helps to convey the functions of culture-specific items without forgetting the needs of the target audience and always keeping in mind that practical employment of the translated tourist text.
Blockchain in an Internet-of-Things Network Based on User Participation

The internet-of-things is the relatively new and rapidly growing concept of connecting everyday devices to the internet. Every day more and more devices are added to the internet-of-things and it i ...
Anomaly delineation of porphyry copper deposits of Hanza Region through geochemical data analyses and multispectral remote sensing

Hanza region is located in the southern part of Urumieh–Dokhtar Metallogenic belt in southeastern Iran. This region includes six known porphyry copper deposits and it is considered as an ore- bearing region from geochemical point of view. The aim of this research is to examine effective processing techniques in the analysis of stream sediment geochemical datasets and ASTER satellite images. The processing methods have led to identification of eight new prospective areas. These methods are aimed at providing univariate geochemical maps. The stream sediment geochemical mapping for Cu and Mo was performed by the sample catchment basin approach. The results derived from this approach have been mapped in four classes associated with the first quartile, third quartile and threshold values obtained from Median Absolute Deviation method. False-colour composite and band ratio techniques were adopted as two well-known methods for the processing of an ASTER scene spanning the study area. Eight new targets for possible mineralization have been resulted from geochemical data analyses. Image processing techniques on the ASTER multispectral data have also revealed widespread hydrothermal alterations associated with the known porphyry copper deposits and the new prospects.
Implementing Purchase Requests for Print Book Demand Driven Acquisitions

Beginning in 2017, the University of Utah Marriott Library applied a mediated, demand-driven model of acquiring print books. Implementing this method of acquisitions using Alma’s purchase request functionality required some modification of discovery interface display logic, letters and additional system configuration, including modifications of the OpenURL template in Primo. The Marriott Library's decisions and current workflows will be discussed and general guidance on Alma configuration will be provided.
COMBINED STRAIN BASED SUGGESTION FOR ONLINE SOCIAL APPOINTMENT

We have developed many neural systems with loss of convenience functions to understand the enveloping emotions. We learn the decorations of emotions from tweets with good and bad feelings like a remotely supervised body, without manual annotations. In this document, we recommend that you learn the word encapsulation of the so-called emoticons in emotion analysis. The vertical strategy is to represent each word as a hot-key that has a length of vocabulary and only one dimension is 1, with all other words being. To be able to learn to effectively integrate emotions, we have developed many neural systems to capture text sense, as well as word contexts with dedicated loss functions. We collect emotion information at the wholesale level instantly from Twitter. This depends on the glory that the larger training data usually leads to more effective representation of the words. To ensure the superiority of extended words, we set the minimum for each category to combine high-quality rich products with extended words. We conduct an experimental evaluation of the effectiveness of the feeling of the loop using three tasks to analyze the feeling. Current foundation learning approaches are primarily based on distribution assumptions. However, it can be a tragedy to analyze feelings because they have polarity marks of opposite feeling.
Interest emotion recognition approach using self-organising map and motion estimation

Recognising human facial emotions by computer is an interesting problem. Although several approaches have been proposed the recognition rate, amount of used resources and calculation time remain factors for improvement. Our work presents a new approach for recognising basic emotions (joy, sadness, anger, disgust, surprise and fear) in image sequences. We introduced interest emotion and created its corresponding action units (AUs) based on psychological foundations. Our approach is mainly characterised by minimising used data and consequently optimising the computing time and improving the recognition rate. The proposed approach was divided into three steps: face detection using the Viola and Jones method, the extraction of facial features: here we exploited the facial action coding system, which is based on AUs. To detect AUs, we extracted face strategic points using an active appearance model and a block-matching approach. At the last, we classified the results by using the Kohonen self-organising map (SOM).
ABILITY TO WRITE TEXT OF STUDENT OBSERVATION REPORTS

Abstract . The purpose of this study to describe the ability to write the text of the observation report of Indonesian Language and Literature Education Study Program students of FKIP University of Bengkulu. The scope of this study includes components (1) text content of the report, (2) structure of the text, (3) choice of words (diction), (4) use of Sentences, and (5) mechanics (spelling and handwriting). This study uses a simple descriptive-quantitative method. Data collection uses test techniques to write text of observation reports on the topic of my Campus Environment. The research sample used purposive sampling technique, namely 6A semester students of Indonesian Language and Literature Education Study Program FKIP University of Bengkulu who attended 35 creative writing lectures. Data analysis uses a qualitative and qualitative descriptive formula. The results of the study that the ability to write the text of the observation report of Indonesian Language and Literature Education Study Program students of the FKIP University of Bengkulu was well categorized with an average score of 72.4. That is, some aspects of assessment writing text of the observation report still need attention in learning so that the results are maximized. The achievement of writing learning that is already maximal needs to be maintained while the results that have not been maximized need to be continuously improved. Learning outcomes write every aspect, only the content aspects are categorized very well while other aspects, such as structural aspects, diction, sentence usage, and mechanical aspects are in good category. Research suggestions, in order to achieve maximum results, lectures on creative writing need to be given intensive training, especially in writing various types of texts.
Supervised Representation Hash Codes Learning

Learning-based hashing has been widely employed for large-scale similarity retrieval due to its efficient computation and compressed storage. In this paper, we propose ResHash, a deep representation hash code learning approach to learning compact and discriminative binary codes. In ResHash, we assume that each semantic label has its own representation codeword and these codewords guide hash coding. The codewords are attractors that attract semantically similar images and are also repulsors that repel semantically dissimilar ones. Furthermore, ResHash jointly learns compact binary codes and discover representation codewords from data by a simple margin ranking loss, making it easily realizable and avoiding the need to hand-craft the codewords beforehand. Experimental results on standard benchmark datasets show the effectiveness of ResHash.
The implicit and explicit memory of static and interactive objects in virtual reality

Virtual reality applications are developing fast and break new grounds every day in new industries. In today's market, most of the virtual reality projects are funded by venture capitalists and are ...
Neural Network Models of Cardiorhythmograms Analysis

Questions of the cardio rhythm automated analysis based on artificial neural networks apparatus in real time are considered. The following models are offered: heart rate gradation finding, sinoatrial rate type definition, informative sign of a sinoauricular block determination, asymmetric distribution of RR-interval sign determination, definition of non-modal RR-interval distribution, sign determination of a constant bigeminal pulse, sign of a stable sinoatrial rate, a rigid sinoatrial rate, the slanting descending rigid sinoatrial rate sign, extrasystoles quantity on a cardiorhythmogram. Software simulation of neural network models in C++ language is executed. The system is implemented on hardware description language for FPGAs.
GRAVSYS Software Based on Scratch Programming for 2D Gravity Anomalies Source Responses and Its Implementation in Trangkil Gunungpati

Gravsyssoftwarewascreatedwiththeaimtoovercomestudent’sproblemswhichhave difﬁculty in understanding the concept of gravity. This software was developed using Scratch programming which has features to make a simple appearance in the form of images, animations and simulations. Therefore, an innovation of software products can be established as a learning media for students who take gravity method courses. Broadly speaking, Gravsys has several main features, namely data input of parameter model, creating 2D simulation of uniform object, and displays the response of the gravitationalﬁeldanomalyingraphicalform,sothatitcanhelpstudentstounderstand the concept of anomalous source objects and response to gravity anomalies caused by source objects for various subsurface cases, seawater intrusion, water pollution, natural resource potential (coal, iron ore), prediction of bunker existence, decrease and increase of ground water level. In the implementation stage of Ayodya, Trangkil, Gunungpati, the subproject layer showed that 3 layers were sandy clay with density 1,4 gr/cm3, sand with density of 2.3 gr/cm3, bedrock with density 2.6 gr/cm3, each at a depth of 0-30 meters, 30-60 meters, and over 60 meters.
Linguodidactic fundamentals of intercultural competence development in teaching Russian as a non-native (on the example of the Republic of Dagestan)

We present the results of educational and methodical work during the implementation of activities on the issues of teaching Russian in a multi-ethnic environment in the Republic of Dagestan. The issues of identifying intercultural competence as a result and criterion of the education quality in a multi-ethnic educational process are considered. We also define the need for expanding the linguodidactic base for the intercultural competence development in teaching Russian through the inclusion of teaching materials with the national and cultural component. The specific practical examples (use of interactive educational technologies: the method of projects, case-study, web-quest) demonstrate ways of organizing educational activities aimed at the development of in-tercultural competence. The relevance of this study is confirmed by the presence of contradictions between the needs of modern society in effective intercultural interaction, highly qualified teach-ing staff, the requirements of regulatory documents and the insufficient level of potential use in the process of learning Russian in a multi-ethnic audience. Particular attention is paid to the methods of demonstrating students’ own national identity in a multi-ethnic environment and presenting native culture through the Russian language, issues of improving the professional competence of Russian teachers required for teaching in a multilingual environment and defining intercultural competence.
Para onde vamos

Reflection on the conceptual, application, professional and formative changes that the digital environment has caused in the field of Information-Documentation. It describes the main changes and innovations that the digital information served by the Web brought to the panorama of the concepts, uses and practices of the Information sector. Professional profiles derived from attention to activities and processing of digital information are considered. As well as the skills and capacities needed to develop them and their consequent acquisition through university education and continuous updating
Open Scholarship, Hopkins Libraries, and All of Us

These are slides for a presentation at the 2019 Hopkins Libraries Staff Assembly, focused on how open scholarship and infrastructure touch many parts of the libraries.
Extension of Sinkhorn Method: Optimal Movement Estimation of Agents Moving at Constant Velocity

In the field of bioimaging, an important part of analyzing the motion of objects is tracking. We propose a method that applies the Sinkhorn distance for solving the optimal transport problem to track objects. The advantage of this method is that it can flexibly incorporate various assumptions in tracking as a cost matrix. First, we extend the Sinkhorn distance from two dimensions to three dimensions. Using this three-dimensional distance, we compare the performance of two types of tracking technique, namely tracking that associates objects that are close to each other, which conventionally uses the nearest-neighbor method, and tracking that assumes that the object is moving at constant velocity, using three types of simulation data. The results suggest that when tracking objects moving at constant velocity, our method is superior to conventional nearest-neighbor tracking as long as the added noise is not excessively large. We show that the Sinkhorn method can be applied effectively to object tracking. Our simulation data analysis suggests that when objects are moving at constant velocity, our method, which sets acceleration as a cost, outperforms the traditional nearest-neighbor method in terms of tracking objects. To apply the proposed method to real bioimaging data, it is necessary to set an appropriate cost indicator based on the movement features.
Utility Learning, Non-Markovian Planning, and Task-Oriented Programming Language

Author(s): Shukla, Nishant | Advisor(s): Zhu, Song-Chun | Abstract: We formulate a domain-independent language for representing stochastic tasks, and show how this representation can be synthesized from few training observations. In one experiment, we study how a physical robot may learn to fold clothes from a small number of visual observations, in contrast to big data techniques. Under the same framework, we also show how a virtual chat-bot may learn dialogue policies from few example transcripts, resulting in an interpretable dialogue model, outperforming current statistical techniques. Central to both examples in the concept of utility, why it's essential for generalizability, and how to learn it from small data.
Aplikasi Manajemen Keuangan Berbasis Web Dinas Komunikasi dan Informatika Kabupaten Tanah Laut

The financial area of Diskominfo has activities such as spending budget activities, DPA activities and printing receipts and financial management processes on the Diskominfo to conduct budget funds for each activity and to conduct data Budget, in the process of disbursement of activities is still difficult to do because in the process of data Input and print data is still done in a conventional way.Employees come to the admin to ask for the creation of financial receipts for DPA activities, the admin makes a receipt that is asked by the employee by inputting data data in the form of DPA activities, DPA programs, recipient name and activity funds.Then admins submit a receipt that has been made to the verifier to verify that the budget data and activity data are correct.If the data has been checked by the Verificator and the data stated is valid then the receipt is left to the treasurer for the process of disbursement of data on DPA activities.These problems can be solved with an application that facilitates the work in the field of finance.The built-in and computerized financial management applications make it easier for the financial part to manage financial data more effectively and efficiently.Construction of this system can help the financial part in making financial receipts to the Communications and Informatics Service of Tanah Laut.
Samtyckeslagen - En analys av den nya våldtäktsbestämmelsen i 6 kap. 1 § BrB baserad på bristande frivillighet som grund för straffansvar

On July 1st, 2018, a reform regarding the Swedish sexual offence legislation came into force, which meant that the crime of rape in Chap. 6 § 1 of the Penal Code was constructed around the concept of voluntariness instead of around the concept of coercion. The new offence negligent rape was also introduced in Chap 6. § 1 a of the Penal Code. The paragraph regarding rape is still based on previous regulation, since the circumstances that constituted independent necessary prerequisites in Chap. 6 §§ 1-3 of the Penal Code now constitute factors that mean that voluntariness can never be considered to exist.Whether Swedish sexual offence legislation should be formulated around the concept of consent has been examined twice before, but the positive aspects of such a legislation were not considered enough to outweigh the negative aspects. The first proposal from the Government met criticism from the Council on Legislation, arguing that it could breach the principle of legality and that there was no legal necessity for it. This paper thus aims to analyze the formulation of the new rape provision based on requirements for predictability and legibility imposed on each criminal law. Furthermore, the purpose of the thesis is to examine whether the foremost arguments against the passing of a consent law could be considered justified. This has been done through a study of the legislative process and through a study of case law.The conclusions drawn in this paper are that the Council on Legislation’s criticism of the Government’s first proposal was justified and that some of the criticism probably could be held against the current legislation. Other problems regarding the interpretation and application of the new rape provision has also been identified. There is a risk that the provision isn t in accordance with the principle of legality due to these problems. Furthermore, there is a legal necessity for a consent law and the concerns foremost raised by the two previous investigations have not been actualized.