bluuebunny/crossref_metadata_2025 huggingface dataset:
ALGORITHM OF CONTROLLING AN ADAPTIVE HYDRAULIC CIRCUIT FOR MOBILE MACHINES
Authors:   Vinnytsia National Technical University, Kozlov Leonid , Buriennikov Yurii ,   Vinnytsia National Technical University, Rusu Oana ,   ”Gheorghe Asachi” Technical University, Pyliavets Volodymyr ,   Vinnytsia National Technical University, Kovalchuk Vadym ,   Vinnytsia National Technical University, Petrov Oleksandr ,   Vinnytsia National Technical University, Rusu Ioan ,   ”Gheorghe Asachi” Technical University
Published: December 2021

Hydraulic systems based on adjustable pumps, proportional electrohydraulic equipment and controllers are used in mobile machines. The authors propose a new scheme of the hydraulic system for mobile machines, which provides the auger drilling operation. A number of studies have shown that a certain ratio should be maintained between the frequency of auger rotation and its feed during operation, where the productivity of soil disruption should not exceed the productivity of transporting loose soil from the drilling zone. Ensuring the required ratio between the speed of the auger rotation and its feed is implemented by a controller that works according to a certain algorithm. A nonlinear mathematical model of the hydraulic system was developed to create the algorithm for controller operation and setting. The equations of the mathematical model are solved in the MATLAB-Simulink environment by the Rosenbrock method. As a result of solving the equations for the mathematical model, the dependences of variables describing the state of the hydraulic system on time are obtained. The values of the controller settings are determined at which the hydraulic system works steadily, the error of flow rate stabilization, the time for pressure adjustment and readjustment does not exceed the allowable values. The algorithm for controlling the auger feed value is formed. This algorithm provides the necessary ratio between the auger feed and speed, as well as reducing the feed rate in the case of soil hardness increases. This creates the conditions for uninterrupted pit drilling at full depth and protection of the hydraulic system from overload.
VERTICAL SPINDLE COTTON HARVESTER WITH SYMMETRIC MOVEMENT OF SPINDLE DRUMS
Authors:   Institute of Mechanics and Seismic Stability of Structures named after M.T. Urazbaev, Academy of Sciences of the Republic of Uzbekistan, Abdukarimov Abdusalam
Published: December 2021

The article deals with the trends in the development of structures, research work on modernization and creation of new vertical spindle cotton harvesting apparatus (CHA). Authors developed new CHA that works as follows: the CHA with a cotton picker moves on the cotton field; the cotton plants getting into the inter-drum slots are processed, that is, the raw cotton be harvested. The CHA are in their original position before picking raw cotton. When a thick cotton plant gets into the inter-drum slot of the front pair of drums, the spindle drums move apart and the inter-drum slot opens, while the connecting rods and the sliders move forward, providing the symmetrical opening of the slot relative to the longitudinal line of the cotton plant row. Further, this thick plant falls into the inter-drum slot of the second pair of drums, while the inter-drum slot of the second drums opens, while the connecting rods and the sliders move along the guides forward, providing the symmetrical opening of the slot relative to the longitudinal line of the cotton plant rows. With such a pairwise symmetric movement of the SD, depending on the thickness of the cotton plant, the force of spindle pressing on the cotton plant from both sides is identical and symmetrical, since the SD move symmetrically to the longitudinal line passing along the cotton plant row.
GENERATING NUMERICAL MULTIBODY MODEL OF TOOTHED BELT IN TECHNOLOGICAL MACHINES WITH SIEMENS NX
Authors:   Silesian University of Technology, Faculty of Mechanical Engineering, Malaka Julian , Hetmańczyk Mariusz ,   Silesian University of Technology, Faculty of Mechanical Engineering
Published: December 2021

So far, in computer-aided modelling programs, there have not been implemented tools for the automatic generation of a dynamic model of an elastic belt transmission, created in the form of a multibody system. The publication presents reflections on this issue. There were developed scripts allowing one to automatically obtain the appropriate arrangement of links with respect to each other and to create the desired mechanical relations between or among them and other drive elements in the simulation. The programming bases of the proposed solutions were presented. Theoretical concepts were supported by application experiments in the Siemens NX environment. The method for the automatic generation of a multibody model of the toothed belt transmission, based on the geometric model of the latter, was developed. The work enabled the formulation of the conclusions on the development of modelling of the systems under consideration. The results of the research indicate high potential of the presented achievements. They constitute a basis for increasing the degree of computer technique aid for constructors or analysts.
El aumento de personas mayores solas en Andalucía y España: Informe cuantitativo
Authors: López-Doblas Juan , Díaz-Conde María del Pilar
Published: December 2021

Este trabajo ofrece información estadística y una descripción sociológica para entender las diversas claves que explican el aumento de personas mayores que viven solas en nuestras sociedades.
Nuevas tendencias en la vertebración de Andalucía: Territorio, población y familia en el siglo XXI
Authors: Ayuso-Sánchez Luis , de-las-Heras-Rosas Carlos Javier
Published: December 2021

Este informe recoge una exhaustiva fotografía de las nuevas tendencias poblacionales de la sociedad andaluza y su impacto en el territorio, a partir de datos de diversas fuentes estadísticas (INE, IECA, OCDE, Eurostat...) hasta llegar al presente.
Brechas y sesgos de género en la elección de estudios STEM: ¿Por qué ocurren y cómo actuar para eliminarlas?
Authors: Sáinz Milagros
Published: December 2021

Este estudio analiza las causas de la escasa presencia de mujeres en carreras científicas y técnicas tanto en España como en Andalucía.
Género y movilidad social: nuevos datos para Andalucía
Authors: Herrera-Usagre Manuel , Marqués-Perales Idelfonso
Published: December 2021

Este trabajo se centra en el estudio de la movilidad social en Andalucía de mujeres y hombres, comparando la intensidad y los patrones de movilidad social de ambos sexos.
La edición independiente en Andalucía
Authors: Gallego-Cuiñas Ana , Martínez-Cabrera Erika , Capote-Díaz Virginia , Oteros-Tapia María José
Published: December 2021

Este trabajo aporta una completa radiografía de la edición independiente en Andalucía, teniendo en cuenta que nuestra Comunidad concentra la mayor parte del sector tras Madrid y Cataluña.
Líderes políticos y calendario electoral: Un análisis de la percepción de la población andaluza
Authors: Recuero-López Fátima
Published: December 2021

Este trabajo indaga en cómo la ciudadanía percibe a sus líderes políticos, no sólo en un momento determinado, sino a lo largo de su mandato y de sus carreras políticas, y cómo su popularidad está condicionada por el calendario electoral.
Reformas legislativas, incumplimientos de la Carta Social Europea y su invocación en los órganos judiciales
Authors: Salcedo-Beltrán María del Carmen
Published: December 2021

Este informe jurídico analiza las reformas legislativas efectuadas en España en 2012 sobre el mercado laboral y la sostenibilidad del Sistema Nacional de Salud.
Percepción de los españoles y andaluces ante la pobreza
Authors: Manuel-Echevarren José Manuel , García-Bernárdez Manuel , Marqués-Perales Ildefonso
Published: December 2021

Un informe que analiza la pobreza en España y Andalucía con la intención de proponer claves que ayuden al desarrollo de políticas públicas destinadas a su erradicación.
Las transiciones hacia el empleo de la juventud andaluza
Authors: Marcenaro-Gutiérrez Oscar David , Marqués-Perales Ildefonso , Jaime-Castillo Antonio Manuel
Published: December 2021

Este trabajo analiza las trayectorias laborales de los jóvenes, tanto mujeres como hombres, en los primeros estadios de su vida profesional particularizando en las personas que no realizan estudios universitarios.
Percepción de la desigualdad y demanda de políticas redistributivas en Andalucía
Authors: Jaime-Castillo Antonio Manuel , Marqués-Perales Ildefonso , Martínez-Cousinou Gloria
Published: December 2021

Este estudio trata de conocer hasta qué punto la percepción de la desigualdad y de las oportunidades de movilidad social condicionan la demanda de políticas sociales y redistributivas en Andalucía.
La inmigración en Andalucía: un análisis con datos de la Seguridad Social en 2009
Authors: García-Pérez José Ignacio , Torre-Díaz Rocío de la
Published: December 2021

Análisis de la distribución de los trabajadores inmigrantes en Andalucía, según las distintas nacionalidades y en comparación con la población nativa, complementado con un análisis de la distribución salarial.
La construcción del sujero político entre los jóvenes de riesgo
Authors: Robles José Manuel , Morán María Luz , Monferrer Jordi , Funes María Jesús , Fernández-de-Mosteyrín Laura María , Benedicto Jorge
Published: December 2021

El documento presenta un análisis de las dificultades que encuentran los jóvenes andaluces con menos recursos para su integración activa en la sociedad, para su construcción como ciudadanos.
La educación como factor determinante de la movilidad intergeneracional en Andalucía
Authors: Marcenaro-Gutiérrez Oscar David
Published: December 2021

Informe sobre los mecanismos que posibilitan, o dificultan, en su caso, la transmisión intergeneracional de padres e hijos en términos de estatus socioeconómico. Este número está dedicado a analizar el grado en el que la movilidad intergeneracional se manifiesta tanto en Andalucía como en el resto de España, profundizando en el conocimiento y modelización del proceso de transmisión de capital humano entre progenitores y descendientes, así como en las consecuencias que para estos últimos puede tener este proceso, tanto en el ámbito educativo como una vez incorporados al mercado laboral.
Género, salud y orden social. El caso del modelo clínico de transexualidad en Andalucía
Authors: Tena-Díaz Fernando
Published: December 2021

Un detallado análisis del itinerario terapéutico previsto para el conjunto de pacientes transexuales en Andalucía, a través de datos etnográficos de un trabajo de campo realizado con población transexual andaluza entre los años 2001 y 2005.
Rasgos básicos del envejecimiento demográfico y las personas mayores en Andalucía
Authors: Díaz-Conde María del Pilar , López-Doblas Juan
Published: December 2021

Este trabajo ha ofrecido información, más o menos abundante y variada, además de una serie de cuestiones sobre las que se invita a reflexionar relacionadas por un lado con el proceso de envejecimiento de la población y, por otro lado, de las personas mayores como actores sociales.
La creación de una nueva realidad empresarial. El caso de Andalucía
Authors: Toledano Nuria
Published: December 2021

En el presente artículo se analizan los rasgos que caracterizan el tejido empresarial de Andalucía para el periodo 2003-2009, comparándolos con los de otras regiones españolas, en especial, tomando como referencia aquellos ámbitos que tradicionalmente han presentado un tejido productivo más tupido e importante como pueden ser los de Cataluña, Madrid o la Comunidad Valenciana. Los enfoques de la ecología de las organizaciones y la teoría institucional se utilizan como marcos teóricos sobre los que se fundamenta el estudio empírico.
Nuevos enfoques en el diseño de los copagos farmacéuticos
Authors: González Paula , Porteiro Nicolás
Published: December 2021

A partir de un análisis comparado de los actuales sistemas de copago farmacéutico en Europa, este trabajo presenta dos enfoques normativos que determinan la regulación de estos sistemas de copago para plantear una revisión del caso español.
Some Characteristics of the Referential and Inferential Predication in Classical Logic
Authors: Ibrulj Nijaz
Published: December 2021

In the article we consider the relationship of traditional provisions of basic logical concepts and confront them with new and modern approaches to the same concepts. Logic is characterized in different ways when it is associated with syllogistics (referential – semantical model of logic) or with symbolic logic (inferential – syntactical model of logic). This is not only a difference in the logical calculation of (1) concepts, (2) statements, and (3) predicates, but this difference also appears in the treatment of the calculative abilities of logical forms, the ontological-referential status of conceptual content and the inferential-categorical status of logical forms. The basic markers or basic ideas that separate ontologically oriented logic from categorically oriented logic are the (1) concept of truth, the (2) concept of meaning, the (3) concept of identity, and the (4) concept of predication. Here, this differences are explicitly demonstrated by the introduction of differential terminology. From this differential methodology follows a new set of characterizations of logic.
Institutional Logics and Social Responses to Covid – 19 Outbreak and Lockdown Case of Bosnia and Herzegovina
Authors:   Univeristy of Sarajevo, Faculty of Philosophy, Gaković Jelena , Žarković Tatjana ,   University of Sarajevo, Faculty of Philosophy
Published: December 2021

In this paper we explore social responses, attitudes and social practices of everyday life in the midst of a complete social closure at an early stage of corona crisis, based on original empirical survey data collected via online questionnaire (N=352) during the lockdown and state of emergency in Bosnia and Herzegovina. Aiming to analyse social implications of the ongoing crisis and directions for future research we have particularly focused on several dimensions: work, free time and everyday activities, attitudes towards the new uncertainty and specific needs of different social groups in the context of crisis. Social responses to novel living circumstances have highlighted problems related to the status of vulnerable groups present from before in a society that is most commonly categorized as a country in transition marked by post-war challenges. Results show that established discrimination practices have resurfaced while vulnerable social groups’ living conditions have significantly aggravated even early at the times of pandemic emergence.
New Remarks on the Concept in Logical Use
Authors:   Univeristy of Sarajevo, Faculty of Philosophy, Ibrulj Nijaz
Published: December 2021

The main thesis of this paper is directed against the traditional (cognitivetheoretical) definition of the concept which claims that the concept is the '' thought about the essence of the object being thought'', i.e. that it is “a set of essential features or essential characteristics of an object''. But the '' set of essential features or essential characteristics of an object of thought'' is a '' content’’ of the thought. The thought about the essence of an object is definition and the concept is not definition but the part of definition! Besides as the part of formal structure of thought, the concept possesses calculative logical properties that in formal logic (be it syllogistics, or the logic of propositions, or the logic of predicates) come to the front place of formal logical computation. Without the calculative properties of the concept, there would be no calculative properties of propositions which express the thought (thought structures). The calculative properties of a concept include the (1) degree of its logical generality (degree of variability), the (2) logical relations it can establish within the whole of the conceptual content, the (3) operability of the concept in structure of affirmation and negation, the (4) deducibility of either axiomatic or probabilistic systems. Therefore, I believe that, from the logical point of view, the definition of a concept should be applied in favor of its calculative properties that it possesses.
Welcome to Upstream: the new space for scholarly community discussion on all things open
Authors: Chodacki John , Hendricks Ginny , Ferguson Christine , Fenner Martin
Published: December 2021

Today we are announcing

Upstream

. And if you’re reading this, you’re already a part of it! Upstream is a community blogging platform designed for Open enthusiasts to discuss… you guessed it: all things Open. It’s a space for the whole community to voice opinions, discuss open approaches to scholarly communication, and showcase research.
MANAJEMEN INOVASI SEBAGAI SOLUSI KEBIJAKAN TERHADAP PERSOALAN SAMPAH PLASTIK DI KOTA SAMARINDA
Authors: Hutauruk Thomas Robert
Published: December 2021

Penelitian ini bertujuan untuk mengetahui cara-cara inovatif yang mungkin dilakukan dalam mengatasi persoalan sampah plastik yang ada di Kota Samarinda. Metode yang digunakan adalah survey sehingga data yang digunakan adalah berumber pada data primer dan data sekunder dari penelitian-penelitian sebelumnya yang dianalisis secara deskriptif kualitatif menggunakan metode analisis kebijakan model sintesis terfokus (focused synthesis) untuk menghasilkan formulasi kebijakan sesuai dengan tujuan penelitian. Hasil penelitian menunjukkan bahwa kebijakan pemerintah untuk menghentikan pemberian kantong plastik pada konsumen kurang tepat karena menyimpang dari sasaran yang ingin dicapai, dan justru berdampak pada peningkatan penggunaan palstik. Sehingga rekomendasi yang diberikan adalah perlunya penyediaan sarana prasarana yang memadai, dan penadmpingan pemerintah terhadap pelaku usaha untuk meningkatkan kemampuan inovasidalam mengatasi masalah sampah plastik di masa mendatang.
A Case Study of Intercultural Sensitivity of Junior School Students in an International School
Authors: Luo Xinjie , Liu Chubai , Lu Qingsheng
Published: December 2021

The process of internationalization requires people to have higher intercultural communicative competence, which refers to a person's ability to successfully communicate in different cultural environments. It consists of cognition, emotion, and behavior. The study of intercultural sensitivity actually focuses on the emotional factor in intercultural communication competence. Based on the concept of intercultural sensitivity and English teaching practice, this article intends to contribute a little to the intercultural communication teaching and relevant study by analyzing the current level of intercultural sensitivity of junior high school students and interviewing English teachers about the implementation of intercultural teaching strategies.

 
A Mediation Analysis of Spirituality: Wellbeing and Academic Performance in first-Generation and Low-income College Students
Authors: Beggs Chris , Martin Barbara N.
Published: December 2021

Mental health and attainment gaps comprise crises on university campuses, especially for first-generation and low-income students. Despite the heritage of spirituality and religious foundations of America’s colleges, current norms have rendered candid discussions of spirituality to be mostly nonexistent. Despite literature linking spirituality with psychological wellbeing, known is little as to what relationship spirituality has with psychological wellbeing and academic performance, particularly among first-generation and low-income students. This study uses a cross-sectional survey design and occurred a public, regional, Midwestern institution. Quantitative analysis found a relationship between psychological wellbeing and academic performance in specific circumstances, and an indirect effect between spirituality and academic performance in the presence of psychological wellbeing. These data presents implications for practitioners.
A Thematic Review of the Studies on the Music Teacher Competencies in Turkey
Authors: Çeliktaş Hatice , Engür Doruk , Özeke Sezen
Published: December 2021

The first official works about the teacher competencies in Turkey were began in 1998 and many revisions made since then. In this framework, subject-specific competencies were prepared for some areas for primary education in 2008 and secondary education in 2011. This research aimed to review and analyze studies about music teacher competencies between 2008 and 2017 when music teacher competencies were in effect. For this purpose, the studies conducted during this period in Turkey were scanned, and the thematic content analysis was carried out within the framework of the method/design, sample group, data collection tools, aims, results, and recommendations. One of the research findings showed that the studies concerned were particularly related to the competency areas of planning and regulation, the theoretical-applied knowledge and skill, and professional development. Another finding pointed out that the vast majority of the studies employed a descriptive survey model. Last but not least, it was found that the samples of the studies were mostly constructed from pre-service teachers rather than in-service teachers. This current research suggests that further studies should give priority to choose in-service teachers as samples rather than pre-service teachers and also suggests more functional courses for both undergraduate program and in service training.
Reactie op ‘Het Schone Lucht Akkoord en strengere emissiegrenswaarden: een juridische kloof tussen ambitie en realisatie’
Authors: Borgers H.C. (Harm) , Molendijk R. (Roos)
Published: December 2021

Reactie op ‘Het Schone Lucht Akkoord en strengere emissiegrenswaarden: een juridische kloof tussen ambitie en realisatie’

In deze bijdrage reageren auteurs op het artikel van Anna Collignon en Jelmer Ypinga over het Schone Lucht Akkoord (SLA).
¿Antiguas prácticas? ¿Nuevos escenarios? Entre rumores, verdades y la justicia local en la Subdelegación de Huitzo, 1810 a 1812. Efectos del reformismo borbónico
Authors: Rodríguez Rodríguez Oscar
Published: December 2021

El objetivo del artículo es analizar el impacto de la política reformista borbónica en la Nueva España a luz de la Ordenanza de Intendentes de 1786 en la Intendencia de Oaxaca a nivel subdelegacional. El estudio tiene como escenario la disputa jurisdiccional entre el común de la subdelegación de Huitzo y Juan Vicente Vidal, subdelegado; acusado de despojo, estafa, servicios involuntarios y repartimiento forzoso, proceso desarrollado durante el periodo de 1810 a 1812.
La "verde pompa" y la "generosa cetrería": Claves gongorinas en la segunda "Selva dánica"
Authors: Fadón Duarte Alberto
Published: December 2021

Desde el ángulo de la imitatio, el presente artículo estudia la importancia de los modelos gongorinos en la configuración de la Segunda selva dánica del conde Bernardino de Rebolledo, prestando especial atención a las Soledades. Para ello, tras analizar algunos rasgos de género perceptibles en el poema y la estructura global de la composición, el trabajo se centra en tres grandes aspectos: el paradigma adjetival que sustenta varias descripciones de elementos naturales, las écfrasis de lienzos cetreros y los principales rasgos elocutivos que conforman la obra.
Textual Notes on the Latin Odes of Garcilaso de la Vega
Authors: Reed Joseph Duffield
Published: December 2021

Textual criticism of passages in the Latin odes of Garcilaso de la Vega.
Enrique García Santo-Tomás, "Signos vitales. Procreación e imagen en la narrativa áurea"
Authors: García Jorge
Published: December 2021

Reseña de Enrique García Santo-Tomás, Signos vitales. Procreación e imagen en la narrativa áurea.
The Law Enforcement Higher Education in the People’s Republic of China
Authors: Mátyás Szabolcs , Szabó Andrea
Published: December 2021

The authors of the essay spent two weeks in the People’s Republic of China, where they had a chance to study the Chinese law enforcement higher education system. In this essay, the authors intend to share the experiences of these two weeks. Furthermore, they would like to shed light on the current standards and status of the law enforcement higher education in the People’s Republic of China, show those areas where they have fallbacks and set the course of the development of the Hungarian law enforcement leveraging Chinese ‘best practices’.
We can declare that significant changes have taken place also on an international level regarding police and education. In China, not only the number of police staff has been increased but also the level of their professionalism. All the same, the crucial question remains as to what is more important: police higher education or police training/preparation courses.
The first part of the study tends to present the law enforcement higher education in China with the major landmark events and phases of its development. The second part of the article introduces one of the most outstanding law enforcement higher educational institutes of the country, the People’s Public Security University of China (PPSUC), with special remarks on application, its admission requirements and process, curriculum structure, student life and their special training on criminalistics.
Organised Crime as a Political Influence Tool of the Russian Federation
Authors: Chlebowicz Piotr
Published: December 2021

The article attempts to describe the use of organised crime to achieve the political goals of the Russian Federation. This phenomenon escapes unambiguous scientific classifications and has an eminently interdisciplinary character. This is because organised crime is usually analysed in the classical criminological literature as a pathology the state fights. However, it turns out that organised crime structures can be an element of the foreign policy carried out by covert and illegal means. Therefore, the criminological perspective should be supplemented with a viewpoint of political and security sciences. The direct inspiration for this paper came from the analyses carried out by Galeotti, an expert in security and international relations. It refers to the practical manifestations of the activities of Russian special services: SVR, GRU and FSB, in which Russian-speaking criminal networks are used. The author believes it can be analysed in terms of the concept known in the Anglo-Saxon scientific circle as a so-called state crime.
The Counterterrorism Systemic Solutions in the Context of Places of Worship in Poland — a Literature Review
Authors: Wróblewski Wojciech , Baylis Monika
Published: December 2021

The purpose of the paper was to understand the Counterterrorism Systemic Solutions in the Context of Places of Worship in Poland, in particular, their infrastructure. The term: ‘places of worship’ is defined as indoor area (i.e. synagogues, Muslim mosques, Hindu temples, Christian and Catholic churches) where people meet to practice their religion, and outdoor area (i.e. car parks, road network), which is a part of their infrastructure.
Sorg: – Det finst ingen snarveg. Det er eit indre arbeid som må gjerast
Authors: Pileberg Silje
Published: December 2021

Sosionom Knut Andersen er overtydd om at det går an å få eit godt liv igjen etter eit stort tap. No deler han erfaringane frå sitt sorgstøttearbeid med andre.
Advancing suicide research
Authors: Larsen Kim
Published: December 2021

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Exploring model transfer strategies for sentiment analysis in Twitter
Authors: Guimarães Eliseu , Carvalho Jonnathan , Paes Aline , Plastino Alexandre
Published: December 2021

As mídias sociais se tornaram um ambiente popular para comunicação. Por isso, analisar o sentimento que o usuário expressa em suas postagens nas redes sociais é um importante campo de pesquisa. No entanto, detectar a polaridade em tais conteúdos é um desafio, em parte porque a quantidade de dados rotulados para treinar classificadores é escassa em muitas situações. Este artigo explora estratégias para reusar um modelo aprendido a partir de conjunto de dados fonte para classificar instâncias em um conjunto de dados de destino. Os experimentos são conduzidos com 22 conjuntos de dados de análise de sentimento em tweets e abordagens baseadas em métricas de similaridade. Os resultados apontam que o tamanho do conjunto de treinamento fonte desempenha um papel essencial no desempenho dos classificadores quando usados para inferir a classe das instâncias alvo.
Assessment of text clustering approaches for legal documents
Authors: Silva Ingrid L. A. da , Mello Rafael Ferreira , Miranda Péricles B. C. , Nascimento André C. A. , Maldonado Isabel W. S. , Coelho Filho José L. M.
Published: December 2021

O sistema judiciário é composto por inúmeros documentos relacionados a processos jurídicos. Esses documentos podem conter informações relevantes que suportem a tomada de decisão em processos futuros. No entanto, a coleta dessas informações não é uma tarefa trivial. Este artigo propõe o uso de agrupamento para reunir processos semelhantes e facilitar a coleta de informações. Dessa forma, diferentes abordagens foram avaliadas com a intenção de identificar a mais adequada para realizar esta tarefa. As abordagens foram aplicadas a uma base de dados composta por 1515 textos de fatos de petições iniciais. Essas abordagens foram avaliadas levando em consideração métricas de avaliação internas e os textos dos processos agrupados. Os resultados apontaram que a melhor abordagem para realizar o agrupamento de processos jurídicos é composta pelo algoritmo K-Means e pela técnica de representação TF-IDF em combinação com a técnica PCA.
Detecting Misinformation in Tweets Related to COVID-19
Authors: Cruz Ramon Souza da , Nunes Neto Gilberto , Anchiêta Rafael Torres
Published: December 2021

A propagação de desinformação trouxe e ainda traz diversos problemas para a sociedade, sendo considerada uma infodemia pela Organização Mundial da Saúde (OMS). A grande maioria dos trabalhos desenvolvidos para lidar com desinformação são focados para a língua inglesa. A fim de preencher essa lacuna, este trabalho investiga estratégias baseadas em aprendizado de máquina supervisionado para detectar desinformação em tweets escritos na língua portuguesa. Além disso, criou-se um corpus que foi manualmente anotado para esta tarefa, a fim de avaliar as abordagens desenvolvidas e compará-las com trabalhos relacionados. Os resultados alcançados são competitivos com trabalhos correlatos, indicando que a abordagem produz um interessante baseline para o corpus construído.
Definição de regiões de interesse em problemas multiobjetivo utilizando hiper-elipses
Authors: Ferreira Patrick P. F. , Cosme Luciana B. , Lacerda Allysson S. M.
Published: December 2021

Este artigo apresenta uma nova metodologia de incorporação de preferências em problemas multiobjetivos através da definição de uma região de interesse na forma de uma hiper-elipse. Essa camada adicionada ao algoritmo de otimização visa auxiliar a tomada de decisão, pois o método mostra soluções de acordo com as preferências definidas. Além disso, a forma hiper-elipsoide permite que o usuário altere a quantidade de elementos selecionados ao se modificar o foco do hiper-elipsoide, ampliando ou reduzindo assim a área de cobertura da fronteira Pareto.
Classification of anatomical landmarks in the gastrointestinal tract with endoscopy images utilizing convolutional neural networks and triplet loss
Authors: Paiva Lisle Faray de , Lima Alan Carlos de Moura , Braz Júnior Geraldo , Paiva Anselmo Cardoso de , Silva Aristófanes Correa
Published: December 2021

De acordo com a Organização Mundial de Saúde, anualmente são contabilizadas 8 milhões de mortes devido a doenças do trato gastrointestinal. A detecção automática das marcações anatômicas é uma tarefa que pode auxiliar profissionais da área da saúde, reduzindo custo e tempo em exames exploratórios. Sistemas de detecção e diagnóstico auxiliados por computador têm sido vastamente explorado no âmbito científico. No entanto é necessário muito poder de processamento para atingir resultados satisfatórios. Com o intuito de contornar esse problema, este trabalho utiliza uma Rede Neural Convolucional simples em conjunto da função de custo Triplet Loss para extrair características de imagens de 3 marcações anatômicas gastrointestinais (z-line, pylorus e cecum) para classificação dessas imagens. Para o treinamento é utilizada a base de dados Kvasir-v2, obtendo 96,60% de Precisão, 97,71% de Acurácia, 96,91% de Especificidade, 98,61% de Sensibilidade e um F1-score de 97,59%.
Applying DevOps to Machine Learning Processes: A Systematic Mapping
Authors: Matsui Beatriz Mayumi Andrade , Goya Denise Hideko
Published: December 2021

Práticas de DevOps têm sido cada vez mais utilizadas por equipes de engenharia de software com o intuito de aprimorar as etapas de desenvolvimento. Em processos que envolvem machine learning (ML), DevOps também pode ser aplicado a fim de implantar modelos de aprendizado de máquina em produção – prática também conhecida como MLOps. Neste mapeamento sistemático objetiva-se entender como DevOps tem sido aplicado a processos de machine learning e quais são os desafios enfrentados. Foram selecionados 15 artigos e observou-se que a maioria faz uso de práticas de CI/CD e propõe arquiteturas para a implantação de modelos de ML. Como maiores desafios, têm-se as características inerentes aos modelos de ML e resistência à mudança.
Short-term Inbetweening of 3D Human Motions
Authors: Rocha Fabio Neves , Freire Valdinei , Delgado Karina Valdivia
Published: December 2021

Creating computer generated human animations without the use of motion capture technology is a tedious and time consuming activity. Although there are several publications regarding animation synthesis using data driven methods, not many are dedicated towards the task of inbetweening, which consists of generating transition movements between frames. A modified version of LSTM, called Recurrent Transition Network (RTN), solves the inbetweening task for walking motion based on ten initial frames and two final frames. In this work, we are interested on the short-term inbetweening task, where we need to use the least amount of frames to generate the missing frames for short-term transitions. We are also interested on different kinds of movements, such as martial arts and Indian dance. Thus, we adapt the Recurrent Transition Network (RTN) to require only the two firts frames and the last one, called ARTN, and propose a simple post processing method combining ARTN with linear interpolation, called ARTN+. The results show that the average error of ARTN+ is less than the average error of each method (RTN and interpolation) separately in the martial arts and Indian dance dataset.
A Model for Traffic Forwarding through Service Function Chaining using Deep Reinforcement Learning Techniques
Authors: Araújo Júnior Silvio Romero de , Bianchi Reinaldo A. C.
Published: December 2021

The development of new communication networks to offer innovative services has increased the volume of data. With the introduction of Deep Reinforcement Learning and Service Function Chaining architecture, new research opportunities have emerged to propose solutions to the new challenges. This work proposes a model through computational simulations how these techniques can be applied. The model was evaluated using two variations of the Deep Q-Network algorithm over the CIC-Darknet dataset. Results showed that both variations are a promising mechanism to make the networks more autonomous and intelligent. to demonstrate
Predicting Runtime in HPC Environments for an Efficient Use of Computational Resources
Authors: Ferro Mariza , Klôh Vinicius P. , Gritz Matheus , Sá Vitor de , Schulze Bruno
Published: December 2021

Understanding the computational impact of scientific applications on computational architectures through runtime should guide the use of computational resources in high-performance computing systems. In this work, we propose an analysis of Machine Learning (ML) algorithms to gather knowledge about the performance of these applications through hardware events and derived performance metrics. Nine NAS benchmarks were executed and the hardware events were collected. These experimental results were used to train a Neural Network, a Decision Tree Regressor and a Linear Regression focusing on predicting the runtime of scientific applications according to the performance metrics.
Predição de Tamanho de Código utilizando Benchmarks Sintetizados: Um Estudo de Caso
Authors: Zanella André Felipe , Silva Anderson Faustino da
Published: December 2021

Um dos principais problemas que impedem Redes Neurais Profundas se tornarem predominantes para otimização de compiladores é a dificuldade de criação de conjuntos de dados de alta qualidade. Benchmarks reais geralmente são programas grandes e complexos, e por não serem abundantes, modelos de compilação preditiva geralmente apresentam dificuldades de generalização devido ao vasto espaço de programas. Esforços recentes da comunidade para mitigar este problema resultaram em ferramentas para síntese automática de benchmarks, capazes de gerar milhares ou milhões de programas sintéticos. No entanto, esses códigos dificilmente coincidem em termos de similaridade com benchmarks codificados manualmente. Este artigo tem como objetivo avaliar o desempenho dos benchmarks AnghaBench, uma proeminente suíte de programas C sintetizados para compilação preditiva, em um problema de aprendizagem de máquina. Comparamos o desempenho desses benchmarks com aplicações provenientes da suíte de testes LLVM, utilizando um modelo LSTM para prever o tamanho de código proporcionado por uma sequência de otimizações, sem a necessidade de compilar o programa. Os resultados experimentais indicam que, em alguns domínios, benchmarks sintéticos são equiparáveis, mas não superam aplicações reais.
DONUTS: Um Eficiente Método de Checkpointing em Memórias Não Voláteis
Authors: Kruger Kleber , Azevedo Rodolfo , Pannain Ricardo
Published: December 2021

Os sistemas com memória não volátil (NVM) precisam ser consistentes à falhas. Dentre os principais desafios está criar mecanismos de checkpointing viáveis em termos de desempenho e usabilidade, para isso é necessário reduzir o número de escritas na NVM, pois o aumento excessivo gera maior uso de largura de banda e, consequentemente, degrada o desempenho. Neste trabalho é proposto DONUTS, um mecanismo transparente ao software que gera épocas dinâmicas por meio de checkpoints integrados à política de substituição de cache. Comparado ao sistema anterior de melhor desempenho, o método proposto reduziu a quantidade de escritas na NVM em 53,8%, fornecendo consistência à falhas com menos de 1% de overhead de tempo de execução.
An Open-Source Cloud-FPGA Gene Regulatory Accelerator
Authors: Bragança Lucas , Penha Jeronimo , Canesche Michael , Ribeiro Dener , Nacif José Augusto M. , Ferreira Ricardo
Published: December 2021

FPGAs are suitable to speed up gene regulatory network (GRN) algorithms with high throughput and energy efficiency. In addition, virtualizing FPGA using hardware generators and cloud resources increases the computing ability to achieve on-demand accelerations across multiple users. Recently, Amazon AWS provides high-performance Cloud's FPGAs. This work proposes an open source accelerator generator for Boolean gene regulatory networks. The generator automatically creates all hardware and software pieces from a high-level GRN description. We evaluate the accelerator performance and cost for CPU, GPU, and Cloud FPGA implementations by considering six GRN models proposed in the literature. As a result, the FPGA accelerator is at least 12x faster than the best GPU accelerator. Furthermore, the FPGA reaches the best performance per dollar in cloud services, at least 5x better than the best GPU accelerator.
A Biometric AsymmetricCryptosystem Software Module Based on Convolutional Neural Networks
Authors:   National aviation university, Kyiv 03058, Ukraine, Anna Ilyenko , Sergii Ilyenko , Marharyta Herasymenko
Published: December 2021

During the research, the analysis of the existing biometric cryptographic systems was carried out. Some methods that help to generate biometric features were considered and compared with a cryptographic key. For comparing compact vectors of biometric images and cryptographic keys, the following methods are analyzed: designing and training of bidirectional associative memory; designing and training of single-layer and multilayer neural networks. As a result of comparative analysis of algorithms for extracting primary biometric features and comparing the generated image to a private key within the proposed authentication system, it was found that deep convolutional networks and neural network bidirectional associative memory are the most effective approach to process the data. In the research, an approach based on the integration of a biometric system and a cryptographic module was proposed, which allows using of a generated secret cryptographic key based on a biometric sample as the output of a neural network. The RSA algorithm is chosen to generate a private cryptographic key by use of convolutional neural networks and Python libraries. The software authentication module is implemented based on the client-server architecture using various internal Python libraries. Such authentication system should be used in systems where the user data and his valuable information resources are stored or where the user can perform certain valuable operations for which a cryptographic key is required. Proposed software module based on convolutional neural networks will be a perfect tool for ensuring the confidentiality of information and for all information-communication systems, because protecting information system from unauthorized access is one of the most pressing problems. This approach as software module solves the problem of secure generating and storing the secret key and author propose combination of the convolutional neural network with bidirectional associative memory, which is used to recognize the biometric sample, generate the image, and match it with a cryptographic key. The use of this software approach allows today to reduce the probability of errors of the first and second kind in authentication system and absolute number of errors was minimized by an average of 1,5 times. The proportion of correctly recognized images by the comparating together convolutional networks and neural network bidirectional associative memory in the authentication software module increased to 96,97%, which is on average from 1,08 times up to 1,01 times The authors further plan a number of scientific and technical solutions to develop and implement effective methods, tools to meet the requirements, principles and approaches to cybersecurity and cryptosystems for provide integrity and confidentiality of information in experimental computer systems and networks.
Localization by Salp Swarm Optimization with Doppler Effect in Wireless Sensor Networks
Authors:   Department of Computer Science and Engineering, Pondicherry Engineering College, Puducherry, Kathiroli Panimalar , S Kanmani.
Published: December 2021

Wireless sensor networks (WSNs) have lately been widely used due to its abundant practice in methods that have to be spread over a large range. In any wireless application, the position precision of node is an important core component. Node localization intends to calculate the geographical coordinates of unknown nodes by the assistance of known nodes. In a multidimensional space, node localization is well-thought-out as an optimization problem that can be solved by relying on any metaheuristic’s algorithms for optimal outputs. This paper presents a new localization model using Salp Swarm optimization Algorithm with Doppler Effect (LOSSADE) that exploit the strengths of both methods. The Doppler effect iteratively considers distance between the nodes to determine the position of the nodes. The location of the salp leader and the prey will get updated using the Doppler shift. The performance validation of the presented approach simulated by MATLAB in the network environment with random node deployment. A detailed experimental analysis takes place and the results are investigated under a varying number of anchor nodes, and transmission range in the given search area. The obtained simulation results are compared over the traditional algorithm along with other the state-of-the-art methods shows that the proposed LOSSADE model depicts better localization performance in terms of robustness, accuracy in locating target node position and computation time.
A Node Confident based IDS to Avoid Packet Drop Attacks for Wireless Sensor Network
Authors:   Department of Computer Science, Sri Venkateswara University, Tirupati-517501, Andhra Pradesh, India, Rao Kareti Madhava , Ramakrishna S
Published: December 2021

Because of the great characteristics of Wireless Sensor Networks like easier to use and less cost of deployment, they have attracted the researchers to conduct the investigations and received the importance in various civilian and military applications. A number of security attacks have been involved due to the lack of centralized management in these networks. The packet drop attack is one of the attacks and it has a compromised node which drops the malicious packets. In WSNs, different techniques have been implemented to identify the packet drop attack but none of them provides the feasibility to stop or isolate their occurrence in the future. In recent times, the reputation systems provide the way to identify the trustworthy nodes for data forwarding. But the lack of data classification in the reputation systems affects the false positive rate. In this paper, a novel CONFIDENT SCORE based BAYESIAN FILTER NODE MONITORING AGENT (CFS-BFNMA) mechanism is introduced to identify & avoid the packet drop nodes and also to monitor the node behaviours to improve the false positive rate. The final CFS of a node is estimated based on the node past and threshold CFS values. The node monitoring agents (BFNMA) constantly monitors the forwarding behaviour of the nodes and assigns CFS based on the successful forwards. The NMA saves the copy of the data packets in their buffers before forwarding to the neighbour nodes to compare them. Also, this BFNMA analyses the traffic pattern of every round of transmission to improve the false positive rate. By comparing with other conventional security algorithms, the proposed mechanism has been improved the network security & false positive rate drastically based on the simulation results.
Data Analysis for the Aero Derivative Engines Bleed System Failure Identification and Prediction
Authors:   Engineering Institute of Technology, Perth, WA 6005, Australia, Salmanov Khalid , Harb Hadi
Published: December 2021

Middle size gas/diesel aero-derivative power generation engines are widely used on various industrial plants in the oil and gas industry. Bleed of Valve (BOV) system failure is one of the failure mechanisms of these engines. The BOV is part of the critical anti-surge system and this kind of failure is almost impossible to identify while the engine is in operation. If the engine operates with BOV system impaired, this leads to the high maintenance cost during overhaul, increased emission rate, fuel consumption and loss in the efficiency. This paper proposes the use of readily available sensor data in a Supervisory Control and Data Acquisition (SCADA) system in combination with a machine learning algorithm for early identification of BOV system failure. Different machine learning algorithms and dimensionality reduction techniques are evaluated on real world engine data. The experimental results show that Bleed of Valve systems failures could be effectively predicted from readily available sensor data.